I entered college in 2012, and since then, almost every year, I have been part of some recruitment process. Be it as a member of a club, part of a team, intern in a company or a full-time position. For over 9 years, I have been experiencing passing all the filtering processes, appearing for interviews, getting rejected and selected. In addition to that, for a long time, I have also been experiencing the story from the other side of the table. Finding, shortlisting, filtering, interviewing and selecting candidates on behalf of companies for multiple years now.
For a long time in college, when a lot of filtering of candidates was done on the basis of the GPA, I used to wonder what is the importance of the GPA for the job? Why does the company care about my GPA if I am better than the 9 pointer at the job? At that time, I used to highly regard the interviews. I used to think that all evaluation must be done on the basis of the interview itself, in which the recruiter must check if the candidate has the knowledge and skills required to succeed at the job.
As I became more mature and started interviewing candidates, I quickly realized that it is not possible to interview everyone. Some screening, shortlisting or preference ordering needs to be defined in order to get a good enough hire while spending the minimum possible time in hiring. But staying loyal to be opinion that the GPA is meaningless, I started looking at other things mentioned in a candidate's resume. The top things that I concentrated on were previous experience, projects, well-roundedness and public profiles like Github, LinkedIn etc.
This worked out pretty well. Especially the evaluation based on projects. I observed that there is barely any correlation between the online courses the candidates does, and their proficiency in that topic. I also observed that irrespective of whether the candidate has had any formal training in any subject, if they have built a project using that, they get a strong grasp on that subject. But there is a caveat here, not all projects are equal.
Project done just to showcase code, which are usually very small targeted projects, are generally less relevant. Projects which are built to solve a particular problem, in turn, are strong indications of a good candidate. This might probably be a result of secondary research that the candidate performs in order to find the easiest way of achieving the intended results. Compounded by the fact that the desired output of the project is defined by the environment and not based on how easy is it achieve.
So these are all good enough to shortlist some candidates from the overall pool of all candidates. There is still the step to choose among the candidates who have been shortlisted. As is the norm, I started with testing the candidates on knowledge. I used to ask them technical questions and try to judge if they are good enough to succeed in the role they are getting hired for. But I realized it very soon that this is not the right way to approach things.
The main drawback of doing this was that there is no set of right questions. Any set of questions would either be too narrow, that it would reject most good candidates as well. Or it would be too shallow to distinguish good candidates from the not-so-good ones.
Hence, I found a different method of conducting the technical rounds. This new method was basically based on my interview experience with Microsoft Research. There, I was asked to present one of my projects, which was basically by semester long UG project. And the audience included everyone who was scheduled to interview me during that day. For many of those interviews, this project, and the various facets that any project has, was the basis for half or more of the conversation. And even if on paper, I was only an average candidate, due to my exceptional understanding of everything that entails the project I worked on, I was selected. Be it the motivation, problem setup, related work, all the different algorithms that were used, the underlying mathematics of those algorithms and why were they apt for the problem, the results, the next steps or the technology stack that we used and its pros and cons. I remember that one of the interviews got extended because the interviewer and I started discussing about all the programming languages and the obsessions and complaints we had about each of them.
Based on this experience, I started talking to the candidate about any one of their projects in great depth. If possible, I would try to persuade the candidate to choose the project that he/she wants to talk about. My interview would fundamentally try to analyse how well does the candidate understands the intricacies of his/her own best project. This worked pretty well. And for the positions in the software consultancy that I worked for, this worked great. It was able to quickly filter out candidates who don't know what they are talking about.
At this moment, I thought that I had figured out the right way to find good candidates. But the thing with interviews is that they are performances. Someoone who hasn't really done the work but can explain everything that was done can still perform very well at these interviews. There is no way to assess if the candidates who are selected in this process will actually perform well at the job. Obviously, taking coding tests during the interviews is a widespread practice; but that is simply a waste of the interviewer's time. One can much easily just use a platform like HackerRank to do the same.
Then there was a suggestion for a take-home assignment - which seemed to be a good idea. It does not waste anybody's time and it also tests whether the candidate is able to get work done or not. But setting up a problem to be given for the assignment is hard. One of my seniors gave me a tip to give one of my current tasks as a take home assignment. That was still a problem for me, as I need to formulate the problem much more formally for giving it as an interview assignment. And since I am a data scientist, it was even tougher, as now I need to spend time finding the right subset of data and preparing it well - anonymizing it and cleaning it. But this is all necessary evil. And its not the actual problem with such assignments.
I understood the problem with such assignments when I started getting interviewed again. It distinctly remember that I was the interview assignment of a startup called DocsApp. I was very excited to work with them as they were solving problems that were interesting for me and in a domain that I myself was very passionate about. All the stars seemed to align until the assignment was given to me. I was told that I should be to finish the assignment in 1 hours, but that was not an assignment that could be done by even a company in one hour. After having spent 3+ hours on the assignment, I ended up proposing the next steps and mentioning "if you want me do more than this, you will need to pay me for it" in the email. Basically, it is not hard for assignments to become exploitative. And this is commonly observed and reported as well.
In the company I currently work in, which is GetMega - a mobile gaming platform, we approach hiring very differently. We do not even have a technical interview with the candidate at all. The philosophy behind this decision is: we are doing novel things all the time, so it is not possible for anyone to know everything that they will need to do their job.
Here is the hiring process for the engineering team that we follow:
Their emotional states are almost always we expect it to be. We communicate that effectively, which makes the candidates feel even better about it. In fact, one such conversation has triggered me to write this blog. We actually treat our candidates with respect, and properly evaluate their submissions. I had just submitted the review of one of the assignments, and had previously shared my phone number with the candidate so that they can ask me any doubts they might have regarding the assignment. After the doubt clarification, I asked if he was enjoying working on the project, or if it was a pain. The review to the assignment was quite brutal, and hence I didn't expect a very positive answer. But to my pleasant surprise, the candidate was very excited to deliver on the assignment. To quote him, "I would work on this assignment even if I am already rejected for the position. I would keep on reiterating on it until I deliver a good submission. I find it very interesting and I am learning a lot by working on it." This statement provided me validation regarding our approach to the assignments, as well as increased the chances of his selection. :P
The full-loop, however efficient, still takes up a lot of time from the actual employees of the company. We recently came across the concept of Audition projects. Audition projects seem to be the perfect candidate for establishing that a candidate would be perfect to work with. It actually tests the candidate on what really matters - actually working in the company. It also pays the candidate for the work that they do for the company - so there is no exploitation as well. Inspired by this, I am trying to curate my own mentorship platform project, Alokit Innovations to serve companies who want to engage with prospective candidates through audition projects.
The problem of hiring is still far from solved. But I believe I can find a solution to it in the near future, and not just for myself, but for every company working in the domains of science, technology, engineering and mathematics.


Married pub landlord killed woman after fearing secret affair would be exposed
Ian Simms never revealed what he did with her body
by Jenny KirkhamThe landlord of a country pub turned into a brutal murderer after fearing his web of lies and seedy affair would be exposed.
Ian Simms is set to be released from prison after 30 years behind bars for killing 22-year-old Helen McCourt in St Helens , in 1988.
He never told police where he disposed of her body despite her family repeatedly appealing for him to do so.
A parole board controversially said that Simms could be released as he did not represent a significant risk to the public.
The country was outraged at the decision and many questions are still being asked about the murder that rocked Merseyside.
With Helen's body still not recovered, people are asking what could lead a supposed "family man" to kill, theories believe it was his own sordid behaviour.
Web of lies about to unravel
Two days before Helen's disappearance, Helen got into a row with another woman in a pub called the George and Dragon - now the Billinge Arms.
Ian Simms, 31, was the landlord of the pub at the time and lived there with his wife and two small children.
After the argument between the two women, Simms banned Helen from the pub and a number of customers witnessed him shouting about her and using obscene language about.
He reportedly also said he "hated" Helen but it soon came to light that he had previously made sexual advances towards the 22-year-old insurance clerk and she rejected him.
At the time, Simms was also having an affair with a 21-year-old mistress and he believed Helen knew about it.
Many people believe that Simms killed Helen because she rejected him and was worried she would reveal his affair to his wife.
On the day of her murder, Helen McCourt spoke to her mum Marie on the phone about an hour before she left work.
She was planning to go out for the evening with her new boyfriend and wanted her tea ready earlier so she had time to wash her hair.
As Helen got off her bus at around 5.30pm she began walking home, a route that took her past the pub.

Helen has never been seen or heard from since that night.


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Implementing Custom Behaviors in Alfresco
Jeff Potts
September, 2007
License
This work is licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-sa/3.0/ or send a letter to Creative Commons, 444 Castro Street, Suite 900, Mountain View, California, 94041, USA.
Introduction
This article discusses how to write your own custom behavior code in Java or JavaScript and then bind that code to node events or “policies”.
In previous articles I've discussed how to create custom content models and how to write custom actions. In both cases, we've seen how to write code that works with custom content types, properties, aspects, and associations, but the code wasn't tightly coupled to the objects on which it operated. With an action, the business logic is triggered by something—an item in the user interface, a schedule, or a workflow—rather than being bound to the content type or aspect.
Actions are very useful when the business logic the action carries out is generic enough to be applied to many types of objects. The out-of-the-box “move” or “add aspect” actions are obvious examples.
There are times, though, when you want code to be tightly-coupled to a content type because you need to be sure it gets executed rather than leaving it up to a rule on a space that triggers an action or a workflow that does the same. Fortunately, Alfresco provides just such a mechanism—it's called “behaviors”.
Behaviors are used throughout Alfresco. Auditing and versioning are examples where behaviors are involved. In our work with custom Alfresco implementations behaviors have come in handy several times. In one case we needed to default some metadata values using logic that couldn't be expressed using the Alfresco content model so we wrote a custom behavior that set the metadata appropriately. In another, we needed a way to synchronize metadata between folders and the items in those folders so we wrote a custom behavior to handle the sync.
In this article we'll see a simple example also based on a real-world implementation: using a custom behavior to compute the average user rating for a piece of content.
You should already be familiar with general document management and Alfresco web client concepts. If you want to follow along, you should also know how to write basic Java code. See “Where to find more information” at the end of this document for a link to the code samples that accompany this article. Specifically, you may want to read “Working with Custom Content Types” on ecmarchitect.com if you aren't already familiar with how to extend Alfresco's content model.
Example: User ratings
Recall from the Custom Content Types article that we created a custom type called a Whitepaper for a fictitious company called SomeCo. We used an aspect called “webable” that was attached to content objects we wanted to show on the web. So, for example, SomeCo might use Alfresco to manage all of its whitepapers, but show only a subset on the web. Whitepapers to be shown on the web get the webable aspect attached and the isActive flag set to true. The front-end can then query for whitepapers based on that flag.
Now let's extend that example further. Suppose that the Marketing folks at SomeCo have caught the Web 2.0 bug and they've decided to add user ratings to their web site. They would like users to be able to assign a rating to a whitepaper and to display the average of all ratings received for a specific whitepaper.
Assuming we want to store the ratings in Alfresco instead of directly in a relational database, one way to do this would be to create a custom “rating” type that would be related to a whitepaper through a child association. We could create a “rateable” aspect that would define the association as well as a property to store the average rating for that whitepaper.
The image below shows the original custom content model with these enhancements.
That takes care of the data model, but where should we put the code that computes the average? One way to handle it would be to write an action that gets called by a rule. Any time a rating is added to a folder, the rule would trigger the action to update the average. But this isn't the best option because every time you wanted to use user ratings you'd have to make sure to set up a rule on the folder. A scheduled action might not be bad—it could be written to find all objects with the rateable aspect and then compute the average. But if you want the average rating computed in real-time (and let's assume we do) a scheduled action isn't a a great option.
As you've already guessed, the best option in our example is to use a behavior. We'll write the logic we need to compute the average and then bind it to the appropriate policies on the rating content type. Any time a rating gets created (or deleted), it will know how to find its parent (the whitepaper) and recalculate the average.
What can trigger a behavior?
So the rating content type will be bound to business logic that knows how to compute the overall average rating for a whitepaper. But what will trigger that logic? The answer is that there are a bunch of policies to which your behavior can be bound. To find out what's available, you need only look as far as the source code (or Javadocs). If you grep the “repository” project in the Alfresco source code for classes that end in “*Policies.java” you'll find four interfaces. Each of those interfaces contains inner interfaces that represent the policies you can hook into. Check the Javadocs or source code for specifics—I'm listing the methods in Table 1 so you can see the breadth of what's available.
Note: To make it easier to read, I'm omitting the inner interface which follows the pattern of <method-name>Policy. For example, the onContentUpdate method is a method of the inner interface OnContentUpdatePolicy.
| Interface | Method |
|---|---|
| org.alfresco.repo.content.ContentServicePolicies | onContentUpdate |
| onContentRead | |
| org.alfresco.repo.copy.CopyServicePolicies | onCopyNode |
| onCopyComplete | |
| org.alfresco.repo.node.NodeServicePolicies | beforeCreateStore |
| onCreateStore | |
| beforeCreateNode | |
| onCreateNode | |
| onMoveNode | |
| beforeUpdateNode | |
| onUpdateNode | |
| onUpdateProperties | |
| beforeDeleteNode | |
| onDeleteNode | |
| beforeAddAspect | |
| onAddAspect | |
| beforeRemoveAspect | |
| onRemoveAspect | |
| beforeCreateNodeAssociation | |
| onCreateNodeAssociation | |
| beforeCreateChildAssociation | |
| onCreateChildAssociation | |
| beforeDeleteChildAssociation | |
| onDeleteChildAssociation | |
| onCreateAssociation | |
| onDeleteAssociation | |
| org.alfresco.repo.version.VersionServicePolicies | beforeCreateVersion |
| afterCreateVersion | |
| onCreateVersion | |
| calculateVersionLabel |
Which policy shall we use? We need to recalculate a whitepaper's rating either when a new rating is created or when a rating is deleted. One possibility would be to bind our behavior to the NodeService policy's onCreateChildAssociation and onDeleteChildAssociation policy for the whitepaper node. But that would mean we'd constantly be inspecting the association type to see if it we wanted to take any action because there could be other child associations besides ratings. Instead, we'll bind to the rating node's onCreateNode and onDeleteNode policies.
Java or JavaScript?
There are two options for writing the code for the behavior: Java or JavaScript. The decision as to which one to use depends on the standards you've settled on for the solution you are building. In this article, we'll implement the ratings example using Java but I'll also show you how to use JavaScript as an alternative.
Implementing and deploying the custom behavior
Before we start, a couple of notes about my setup:
- Ubuntu Dapper Drake (I know, I know. Past due for an upgrade).
- MySQL 4.1
- Tomcat 5.5.x
- Alfresco 2.1.0 Enterprise, WAR-only distribution
Obviously, other operating systems, databases, and application servers will work as well. Some of the functionality used in this example is available only with 2.1 so your mileage my vary if you use an older release.
I'll also be building on the custom model defined in the Custom Types article. That code was originally written for Alfresco 2.0.1 but will run fine on Alfresco 2.1.0 with no changes needed. You don't need to download the code from that article for the code in this article to work. The code supplied with this article is a superset.
Java Example
Let's do the Java example first. Here are the steps we are going to follow:
- Extend the SomeCo model defined in the previous article with our new rateable aspect and rating type (and all the UI config steps that go with it).
- Write server-side JavaScript that creates test ratings.
- Write the custom behavior bean and bind it to the appropriate policies.
- Configure a Spring bean to initialize our behavior class and pass in any dependencies.
- Build, deploy, restart and test.
Let's get started.
Extend the model
Open the scModel.xml file we created in the previous article. We need to add a new type and a new aspect. Insert the “scr:rating” type definition after the existing “sc:whitepaper” definiton:
<type name="scr:rating">
<title>Someco Rating</title>
<parent>sys:base</parent>
<properties>
<property name="scr:rating">
<type>d:int</type>
<mandatory>true</mandatory>
</property>
<property name="scr:rater">
<type>d:text</type>
<mandatory>true</mandatory>
</property>
</properties>
</type>
Note that scr:rating inherits from sys:base. That's because we don't intend to store any content in a rating object, only properties.
Now add the “scr:rateable” aspect after the existing “scr:productRelated” aspect. The rateable aspect will have one property to store the average rating and will also define the child association for a piece of content's related ratings. Using an aspect gives us the ability to add ratings functionality to any piece of content in the repository. (In fact, you don't need any of the SomeCo model from the previous article to use the ratings functionality. That's the beauty of aspects).
<aspect name="scr:rateable">
<title>Someco Rateable</title>
<properties>
<property name="scr:averageRating">
<type>d:double</type>
<mandatory>false</mandatory>
</property>
</properties>
<associations>
<child-association name="scr:ratings">
<title>Rating</title>
<source>
<mandatory>false</mandatory>
<many>true</many>
</source>
<target>
<class>scr:rating</class>
<mandatory>false</mandatory>
<many>true</many>
</target>
</child-association>
</associations>
</aspect>
The rateable properties and associations need to show up on property sheets for objects with the aspect so add the following to web-client-config-custom.xml:
<!-- add rateable aspect properties to property sheet -->
<config evaluator="aspect-name" condition="scr:rateable">
<property-sheet>
<show-property name="scr:averageRating" display-label-id="average"
read-only="true" />
<show-child-association name="scr:ratings" display-label-id="ratings"
read-only="false" />
</property-sheet>
</config>
The rateable aspect needs to show up on the “add aspect” list so add the rateable aspect to the existing list of SomeCo custom aspects in web-client-config-custom.xml. Note that this snippet only shows the “<aspects>” element of the “Action Wizards” config. The rest is unchanged from the previous article:
<config evaluator="string-compare" condition="Action Wizards">
<!-- The list of aspects to show in the add/remove features action -->
<!-- and the has-aspect condition -->
<aspects>
<aspect name="scr:webable"/>
<aspect name="scr:productRelated"/>
<aspect name="scr:rateable"/>
</aspects>
<!-- Remaining config is unchanged -->
</config>
The label IDs need values in the webclient.properties file:
#scr:rateable
average=Avg Rating
ratings=Ratings
Recall that in the previous article we decided it was a good idea to use a class for our model to store constants such as the names of types, properties, and aspects. Modify com.someco.model.SomeCoModel.java to include new constants for the type, aspect, and properties we just added to the model.
public static final String TYPE_SC_RATING = "rating";
public static final String ASPECT_SC_RATEABLE = "rateable";
public static final String PROP_RATING = "rating";
public static final String PROP_AVERAGE_RATING = "averageRating";
That's all we need to do for the model. After restarting Alfresco you should see the aspect in the “Add Aspect” action configuration wizard.
Write a server-side JavaScript file that creates test data
In the last article we used Java to test out the model by writing code against the Alfresco Web Services API. This time, let's use JavaScript to create a server-side script that we can run any time we need to create some test rating nodes for a piece of content.
First, log in to the Alfresco web client and navigate to Company Home/Data Dictionary/Scripts.
Next, create a new piece of content named addTestRating.js with the following content:
// add the aspect to this document if it needs it
if (document.hasAspect("scr:rateable")) {
logger.log("Document already as aspect");
} else {
logger.log("Adding rateable aspect");
document.addAspect("scr:rateable");
}
// randomly pick a num b/w 1 and 5 inclusive
var ratingValue = Math.floor(Math.random()*5) + 1;
var props = new Array(2);
props["scr:rating"] = ratingValue;
props["scr:rater"] = person.properties.userName;
// create a new ratings node and set its properties
var ratingsNode = document.createNode("rating" + new Date().getTime(), "scr:rating", props, "scr:ratings");
ratingsNode.save();
logger.log("Ratings node saved.");
Now create a piece of content in your repository and then use “Run Action” on that piece of content to execute the addTestRating.js script. Every time you run it, a new rating (with a random value) will be created as a child node of that content.
At this point, you should see the ratings on the content's property sheet as child associations but the average won't be set until the behavior code is in place.
Note, if you want the log messages to show up you have to set log4j.logger.org.alfresco.repo.jscript to DEBUG in log4j.properties.
Write the custom behavior
The custom behavior is implemented as a Java class that implements the interfaces that correspond to the policies to which we want to bind. In this example, the two policy interfaces are: NodeServicePolicies.OnDeleteNodePolicy and NodeServicePolicies.OnCreateNodePolicy so the class declaration is:
public class Rating
implements NodeServicePolicies.OnDeleteNodePolicy,
NodeServicePolicies.OnCreateNodePolicy {
The class has two dependencies that Spring will handle for us. One is the NodeService which will be used in the average calculation logic and the other is the PolicyComponent which is used to bind the behavior to the policies.
// Dependencies
private NodeService nodeService;
private PolicyComponent policyComponent;
// Behaviours
private Behaviour onCreateNode;
private Behaviour onDeleteNode;
At some point Alfresco has to know that the behavior needs to be bound to a policy. In the JavaScript example we'll see how to do that in a Spring bean config file. In this example, we'll create a method called “init” to handle the binding. The init method will get called when Spring loads the bean.
public void init() {
// Create behaviours
this.onCreateNode = new JavaBehaviour(this, "onCreateNode", NotificationFrequency.TRANSACTION_COMMIT);
this.onDeleteNode = new JavaBehaviour(this, "onDeleteNode", NotificationFrequency.TRANSACTION_COMMIT);
// Bind behaviours to node policies
this.policyComponent.bindClassBehaviour(
Qname.createQName(NamespaceService.ALFRESCO_URI, "onCreateNode"),
Qname.createQName(SomeCoModel.NAMESPACE_SOMECO_CONTENT_MODEL, SomeCoModel.TYPE_SC_RATING),
this.onCreateNode
);
this.policyComponent.bindClassBehaviour(
QName.createQName(NamespaceService.ALFRESCO_URI, "onDeleteNode"),
Qname.createQName(SomeCoModel.NAMESPACE_SOMECO_CONTENT_MODEL, SomeCoModel.TYPE_SC_RATING),
this.onDeleteNode
);
}
The first thing to notice here is that you can decide when the behavior should be invoked by specifying the appropriate NotificationFrequency. Besides TRANSACTION_COMMIT, other choices include FIRST_EVENT and EVERY_EVENT.
Also note that there are a few different overloaded methods for bindClassBehaviour (note the UK spelling). In this case we're binding the Qname of a behavior to the Qname of our type (“Rating”) and telling Alfresco to call the onCreateNode and onDeleteNode behaviors of our bean.
There are also additional bind methods for associations (bindAssociationBehaviour) and properties (bindPropertyBehaviour) that you should use depending on the type of policy you are binding to.
Next we need to write the methods required by the two policy interfaces. Regardless of whether a ratings node is created or deleted, we need to recalculate the average. So our onCreateNode and onDeleteNode methods simply call computeAverage and pass in the rating node reference.
public void onCreateNode(ChildAssociationRef childAssocRef) {
computeAverage(childAssocRef);
}
public void onDeleteNode(ChildAssociationRef childAssocRef, boolean isNodeArchived) {
computeAverage(childAssocRef);
}
The computeAverage method asks the child (the rating) for its parent node reference (the whitepaper, for example) and asks the parent for a list of its children. It iterates over the children, computes an average, and sets the average property on the content.
public void computeAverage(ChildAssociationRef childAssocRef) {
// get the parent node
NodeRef parentRef = childAssocRef.getParentRef();
// check the parent to make sure it has the right aspect
if (nodeService.hasAspect(parentRef, Qname.createQName(SomeCoModel.NAMESPACE_SOMECO_CONTENT_MODEL, SomeCoModel.ASPECT_SC_RATEABLE))) {
// continue, this is what we want
} else {
return;
}
// get the parent node's children
List<ChildAssociationRef> children = nodeService.getChildAssocs(parentRef);
// iterate through the children to compute the total
Double average = 0d;
int total = 0;
for (ChildAssociationRef child : children) {
int rating = (Integer)nodeService.getProperty(
child.getChildRef(),
Qname.createQName(SomeCoModel.NAMESPACE_SOMECO_CONTENT_MODEL, SomeCoModel.PROP_RATING));
total += rating;
}
// compute the average
average = total / (children.size() / 1.0d);
// store the average on the parent node
nodeService.setProperty(parentRef, QName.createQName(SomeCoModel.NAMESPACE_SOMECO_CONTENT_MODEL,
SomeCoModel.PROP_AVERAGE_RATING), average);
return;
}
The only items remaining, then, are the getters and setters for the NodeService and PolicyComponents, but I'll leave those out here.
Configure a Spring bean
The last step before we test is to configure the behavior class as a Spring bean. The bean config can go in any context file. If you had several behaviors it might make sense to put them in their own. For this example, we'll use the someco-model-context.xml file. Add the following before the closing “</beans>” tag:
<bean id="ratingBehavior" class="com.someco.behavior.Rating"
init-method="init">
<property name="nodeService">
<ref bean="nodeService" />
</property>
<property name="policyComponent">
<ref bean="policyComponent" />
</property>
</bean>
Build, deploy, restart and test
Modify the build.properties file to match your environment, then use Ant to run the Deploy target. The code will be compiled, JAR'd, and unzipped on top of the existing Alfresco installation.
Hopefully, Alfresco will start up error free. If so, log in and execute the addTestRating.js script against a piece of content. The average should now get computed.
Finally, delete one of the test ratings by editing the properties for a piece of rated content and clicking the trash can icon. When you click “ok” to save your changes, the average rating should get recalculated. If you delete all of the ratings, the average should get set to 0.
Note: If you are running the downloaded sample code instead of creating it by following along, set com.someco to DEBUG in log4j.properties to display the logger messages. I've omitted them in the code samples for brevity.
JavaScript Example
We've seen how to implement the average rating calculation behavior in Java, but what if you wanted to implement the behavior using JavaScript instead? Behaviors can be implemented in JavaScript and bound to policies through Spring. Let's re-implement the Rating bean using JavaScript.
The high-level steps we're going to follow are:
- Write the custom behavior as one or more server-side scripts.
- Configure a Spring bean to bind the scripts to the appropriate policies.
- Deploy, restart and test.
Write the custom behavior as a server-side JavaScript
For this example I'm going to shamelessly steal a JavaScript file that is part of the Alfresco source and then tweak it. The original script is used by Alfresco to test Policy functionality. (As a side note, the test code that is buried in the Alfresco source tree is a great resource for example code).
We're actually going to write three scripts. The onCreateRating.js and onDeleteRating.js scripts will be bound to the onCreateNode and onDeleteNode policies respectively. The rating.js script will contain our average rating calculation logic and will be imported by the other two scripts using the new “<import>” tag that became available with the 2.1 release.
In this example the scripts are going to reside as part of the web application rather than being uploaded to the repository. Nothing requires that this be the case—we've written one script already that resides in the repository so I thought we'd change it up a little. This approach does have the downside that modifications require a re-deploy. Of course, depending on whether or not you want end users monkeying around with your script, this could be a benefit in a production environment.
In your Eclipse project, create a “scripts” directory under the src/alfresco/extension folder and add a file called onCreateRating.js with the following content:
<import resource="classpath:alfresco/extension/scripts/rating.js">
var scriptFailed = false;
// Have a look at the behaviour object that should have been passed
if (behaviour == null) {
logger.log("The behaviour object has not been set.");
scriptFailed = true;
}
// Check the name of the behaviour
if (behaviour.name == null && behaviour.name != "onCreateNode") {
logger.log("The behaviour name has not been set correctly.");
scriptFailed = true;
} else {
logger.log("Behaviour name: " + behaviour.name);
}
// Check the arguments
if (behaviour.args == null) {
logger.log("The args have not been set.");
scriptFailed = true;
} else {
if (behaviour.args.length == 1) {
var childAssoc = behaviour.args[0];
logger.log("Calling compute average");
computeAverage(childAssoc);
} else {
logger.log("The number of arguments is incorrect.");
scriptFailed = true;
}
}
The code for onDeleteRating.js is identical with the exception of the behavior name and the number of arguments expected (2 instead of 1) so I won't duplicate the listing here.
As in our Java example, both call the same computeAverage function. Create a third JavaScript file called rating.js and add the content as follows:
//calculate rating
function computeAverage(childAssocRef) {
var parentRef = childAssocRef.parent;
// check the parent to make sure it has the right aspect
if (parentRef.hasAspect("{http://www.someco.com/model/content/1.0}rateable")) {
// continue, this is what we want
} else {
logger.log("Rating's parent ref did not have rateable aspect.");
return;
}
// get the parent node's children
var children = parentRef.children;
// iterate through the children to compute the total
var average = 0.0;
var total = 0;
if (children != null && children.length > 0) {
for (i in children) {
var child = children[i];
var rating = child.properties["{http://www.someco.com/model/content/1.0}rating"];
total += rating;
}
// compute the average
average = total / children.length;
}
// store the average on the parent node
parentRef.properties["{http://www.someco.com/model/content/1.0}averageRating"] = average;
parentRef.save();
return;
}
As you can see, this is the same logic we used in the Java example modified to follow the Alfresco JavaScript API syntax.
Configure a Spring bean to bind the script to the appropriate policies
In the Java example, we used an init method on the Rating bean to make calls to the binding method of the PolicyComponent. The JavaScript example doesn't do that. Instead, it uses Spring to associate the JavaScript files with the onCreateNode and onDeleteNode policies.
Edit the someco-model-context.xml file. Comment out the bean config we used for the Java example and add two new bean configs below it for the JavaScript behavior code—one for the create and one for the delete:
<bean id="onCreateRatingNode"
class="org.alfresco.repo.policy.registration.ClassPolicyRegistration"
parent="policyRegistration">
<property name="policyName">
<value>{http://www.alfresco.org}onCreateNode</value>
</property>
<property name="className">
<value>{http://www.someco.com/model/content/1.0}rating</value>
</property>
<property name="behaviour">
<bean class="org.alfresco.repo.jscript.ScriptBehaviour" parent="scriptBehaviour">
<property name="location">
<bean class="org.alfresco.repo.jscript.ClasspathScriptLocation">
<constructor-arg>
<value>alfresco/extension/scripts/onCreateRating.js</value>
</constructor-arg>
</bean>
</property>
</bean>
</property>
</bean>
Deploy, restart and test
If you haven't already, make sure you've set log4j.logger.org.alfresco.repo.jscript to DEBUG in log4j.properties or you won't see any of the logger output.
Use Ant to run the Deploy target.
Assuming Alfresco starts up error-free, you should be able to use addTestRating.js to create Rating nodes which should trigger the onCreateRating JavaScript. Deleting ratings will trigger the onDeleteRating JavaScript. In either case, the average rating should get calculated as it did with the Java example.
Conclusion
This article has shown how to bind custom behavior to Alfresco policies. Specifically, we implemented a custom “rateable” aspect and a custom “rating” type that can be used to persist user ratings of content stored in the repository. The custom behavior is responsible for calculating the average rating for a piece of content any time a rating is created or deleted. The article showed how to implement the average rating calculation behavior in Java as well as JavaScript.
Where to find more information
- The complete source code that accompanies this article is available here from ecmarchitect.com.
- The previous article that discusses custom content models is called “Working with Custom Content Types” and is available at ecmarchitect.com.
- The Alfresco SDK comes with a custom behavior example that's a little more complex than the one presented here. The “SDK Custom Aspect” project implements a “hit counter” that increments every time a piece of content is read.
- For deployment help, see the Client Configuration Guide and Packaging and Deploying Extensions in the Alfresco wiki.
- For general development help, see the Developer Guide.
- For help customizing the data dictionary, see the Data Dictionary wiki page.


In the 1950s, researchers tried using a compound called DON to prevent cancer cells from metabolizing glutamine, but the side effects of the drug in trials prevented its approval.
Now, in an attempt to overcome those side effects, a team at the Johns Hopkins School of Medicine has created a version of DON that only becomes active when it reaches the tumor — and, tantalizingly, the new cancer drug worked even better than they’d hoped in mice.
They published a study on the compound, JHU083, in the journal Science on Thursday.
When the team tested JHU083 on mouse models of four types of cancer, they found it significantly decreased tumor size and increased the animals’ chances of survival. That wasn’t just because the compound cut off the tumor cells’ food supply, either — it also seemed to supercharge the immune systems’ cancer-destroying T cells.
Another remarkable finding: when the Johns Hopkins team injected their treated mice with new tumor cells, almost all of the animals rejected the tumors, implying that their immune systems remembered the cancer and knew to attack it.
“That T cells are not inhibited by this compound, that is the miracle [that may allow the drug to become a cancer treatment],” Stefan Kempa, a biochemist at the Max Delbrück Center for Molecular Medicine who wasn’t involved in the study, told Science, later adding that “if this compound can be translated to humans, it has a bright future.”
READ MORE: Revamped cancer drug starves tumors in mice [Science]
More on cancer treatments: New Laser Zaps and Destroys Cancer Cells in Real Time


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Using the card component, you can extend the default collapse behavior to create an accordion. Read bootstrap documentaion for more details.
For accordion shadow add class .accordion-shadow
to

For accordion shadow add class .accordion-bordered
to

For accordion shadow add class .accordion-header-border-bottom
to


Upload a MIDI file of your favorite melody. This solver uses a dynamic programming algorithm to compute a corresponding path across the fretboard. Adapted from Miguel Grinberg's flask tutorial, MidiPlayerJS, Guitar Fretboard Visualization, and Responsive CSS Tabs.
Loading soundfont...
Tempo: bpm
MIDI File Format:
As referenced in introductory algorithms courses , we may compute a melody's optimal path across the fretboard with dynamic programming. To make this approach effective, we must form an appropriate cost function. Once specified, the solver outputs a path across the fretboard with the lowest total cost according to compute_cost().
By Jacob Gollub


Home
News
About
Light Mode
Dark Mode
Florence Spinners
Vinyl's for you
About Us
Florence Spinners is a record store coming to downtown Florence. We specialize in records both new and old. Expect to see us downtown in the near future.
Recent Arrivals


Doge Social Network
Home
Profile
Friends
Friends of Doge
Such Friend
best friend
Many Friends
unknow
Wow
yeah, right


{{period}}
Wallet:
{{wallet.name | ucwords}}
Budget:
{{wallet.amount | currency:"PHP":2}}
Expenses:
{{wallet.transactions | pluck:'amount' | sum | currency:"PHP":2}}
Saved:
{{wallet.amount - (wallet.transactions | pluck:'amount' | sum) | currency:"PHP":2}}


This test removes the optional link at the bottom of the searchfield that normally says "All Results for [search]" and provides an external link to a larger list of results.


Changes Create Digests
This is when Angular dirty-checks everything
The is the best and worst part of Angular
Let's Show Off $rootScope.$digest
- Add a hover event to THIS LIST
- Let's add a
$watcher
method in the menu - hovers: {{hoverCount || 0}}
Rolling Changes
Change in one part of your app can cause changes in another part. Because of this, a change in one place causes Angular to check the entire app for rolling changes that may need to be reflected elsewhere.
Let's Look At The $digest
code
in angular.js, line: 12,740
How do we cause $rootScope.$digest
's
- {{way}}
Adding Events
All ngAction methods cause a
Don't use the following methods if you can help it, and you probably can
$digest
cycle- ng-mouseover
- ng-mouseenter
- ng-mouseleave
- ng-keypress
- ng-keydown
- ng-keyup
- ng-scroll
$scope.$apply
vs. $scope.$digest
$scope.$digest
$scope.$apply


Service Worker POC
Username
<EMAIL_ADDRESS>Application
system_update_alt
Install
delete
Uninstall
refresh
Update
Data
save_alt
Pull
send
Push
menu
info
Stuff I wish I'd known sooner about service workers
Service Workers 101
todo
FIX: when an update is waiting, requires 2 refreshes to show update is waiting
provide a way to force content update or uninstall app
very elegant cache solution
Loading...


About Wangstle Group
Tips:This is a page to link a Copyright seen site.
We are web developters who form China.We Hope be a perfect dev.Haha.We aren't have website.Karry made the site.We are learning.
Tips:This is a page to link a Copyright seen site.
We are web developters who form China.We Hope be a perfect dev.Haha.We aren't have website.Karry made the site.We are learning.


Résumé
Hello! Hola! I'm Elsa Pataky and I'm model, actress, happy mom and wife. Originally from Spain (Madrid), I've adopted Australia’s Byron Bay as my new home, where I live with my husband, Chris Hemsworth, and our three children.
Can't imagine my life without challenges and extreme.
Filmography
The most famous movies, I played in:
- 2018
Tidelands
Australian TV Series. Main plot is next : after an ex-con returns to her fishing village, a dead body leads her to uncover the secrets of the town and its half-siren, half-human residents. My character - seductive siren Adrielle Cuthbert (which is, btw, one of the main roles) - 2017
The Fate of the Furious
My hero - Elena Neves, a DSS agent and former Rio police officer who moved to the United States to become Hobbs' new partner at the DSS. - 2015
The Fate of the Furious as Elena Neves
- 2013
Fast & Furious 6 as Elena Neves
- 2011
Fast Five as Elena Neves
See my full filmography here
Marketing Campaign
- Since 2015 I was honored to be official brand ambassador for GIOSEPPO footwear and accessories.
- Along with Fernando Sartorius, my old friend and fitness coach, we published 2 books about healthy food, sport and "stay-fit" mindset. I was very glad to share our expirience on the pages of "Intencidad Max"
- One of my key mission is to open Spain, its genereous people and incredible culture to this world. That's why I film short teaser about Spain, called #spainin10sec. You all are most welcome to join the challenge!


|
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| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object Room
public class Room
This represents a room that contains all of the Things that are in the game. This handles all interactions between each Thing and also the Hero, if there is one.
| Constructor Summary | |
|---|---|
Room(boolean underground,
int index)
creates a new Room |
| Method Summary | |
|---|---|
void |
add(Thing add)
adds a thing to this |
void |
add(Thing add,
boolean shouldInit)
adds a thing to this |
void |
draw(java.awt.Graphics g,
java.awt.image.ImageObserver o,
Hero hero)
draws this to the screen. |
void |
draw(java.awt.Graphics g,
java.awt.image.ImageObserver o,
Hero hero,
SpawnScreen spawn)
draws this to the screen, and handles the SpawnScreen if not null |
void |
remove(Thing remove)
removes remove from this |
void |
removeSpawnFromOtherRooms(java.lang.Class spawn)
makes every other Room contained in the parent GameScreen remove its spawn if it contains any |
void |
removeSpawns(java.lang.Class spawn)
removes all spawns / goals, specified by the class |
java.util.Vector<Serializer> |
serialize()
converts this to something that can be written to a file |
boolean |
setSpawn(Hero hero)
sets up the spawn for the player |
java.lang.Class |
shouldRemoveSpawnFromOtherRooms()
determines if the spawn should be removed |
void |
think(Hero hero,
boolean editMode)
called every frame |
void |
think(Hero hero,
boolean editMode,
boolean shouldFreeze)
called every frame |
| Methods inherited from class java.lang.Object |
|---|
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
|---|
public Room(boolean underground, int index)
underground
- true if the theme is underground, false if notindex
- the index in the array of the parent GameScreen| Method Detail |
|---|
public void draw(java.awt.Graphics g, java.awt.image.ImageObserver o, Hero hero)
g
- o
- hero
- public void draw(java.awt.Graphics g, java.awt.image.ImageObserver o, Hero hero, SpawnScreen spawn)
g
- o
- hero
- spawn
- public java.util.Vector<Serializer> serialize()
public void think(Hero hero, boolean editMode)
hero
- editMode
- true if in LevelEditorpublic void think(Hero hero, boolean editMode, boolean shouldFreeze)
hero
- editMode
- true if in LevelEditorshouldFreeze
- if true, then none of the Things that are contained within this will thinkpublic boolean setSpawn(Hero hero)
hero
-
public void add(Thing add)
add
- public void add(Thing add, boolean shouldInit)
add
- Thing to be addedshouldInit
- if false, then add.init() is not calledpublic void removeSpawnFromOtherRooms(java.lang.Class spawn)
spawn
- public java.lang.Class shouldRemoveSpawnFromOtherRooms()
public void removeSpawns(java.lang.Class spawn)
spawn
- can be either a TGoal or a TSpawn, this instance to be removedpublic void remove(Thing remove)
remove
- Thing to be removed
|
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| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


A B C D E F G H I L M O P R S T V W
All Classes All Packages
All Classes All Packages
All Classes All Packages
A
- Addition - Class in in.itzmeanjan.filterit.arithmetic
-
Given two images of same dimention it'll apply addition operation on each pixel pair & return modified image
- Addition() - Constructor for class in.itzmeanjan.filterit.arithmetic.Addition
- AutomaticThresholding - Class in in.itzmeanjan.filterit.segmentation
-
Given a buffered image with bimodal histogram, we'll segment that image into foreground and background using automatic thresholding mechanism.
- AutomaticThresholding() - Constructor for class in.itzmeanjan.filterit.segmentation.AutomaticThresholding
B
- BitwiseAND - Class in in.itzmeanjan.filterit.bitwise
-
Given two images of equal dimension, it'll compute resulting image ( concurrently i.e.
- BitwiseAND() - Constructor for class in.itzmeanjan.filterit.bitwise.BitwiseAND
- BitwiseLeftShift - Class in in.itzmeanjan.filterit.bitwise
-
Shifts each pixel intensity I[x, y] of given buffered image by applying left shift operator i.e.
- BitwiseLeftShift() - Constructor for class in.itzmeanjan.filterit.bitwise.BitwiseLeftShift
- BitwiseOR - Class in in.itzmeanjan.filterit.bitwise
-
Implementation of bitwise OR operator, given two buffered images of equal size, it'll compute bitwise OR for each pixel ( in each pixel for each color component ), and produces output buffered image, without anyhow modifying original images
- BitwiseOR() - Constructor for class in.itzmeanjan.filterit.bitwise.BitwiseOR
- BitwiseRightShift - Class in in.itzmeanjan.filterit.bitwise
-
Given one buffered image / path to image file & number of bit positions by which pixel intensity to be shifted ( rightwards ), it'll compute transformed image by picking each row up & applying bitwise right shift operator on each pixel intensity value.
- BitwiseRightShift() - Constructor for class in.itzmeanjan.filterit.bitwise.BitwiseRightShift
- BitwiseXOR - Class in in.itzmeanjan.filterit.bitwise
-
Given two images of equal dimension, it'll compute resulting image ( concurrently i.e.
- BitwiseXOR() - Constructor for class in.itzmeanjan.filterit.bitwise.BitwiseXOR
C
- Closing - Class in in.itzmeanjan.filterit.smoothing
-
Implementation of image smoothing op - Closing
- Closing() - Constructor for class in.itzmeanjan.filterit.smoothing.Closing
- ContrastStretching - Class in in.itzmeanjan.filterit.transform
-
Contrast Stretching is pretty similar to Histogram Equalization, but rather that computing pixel intensity probability & corresponding CDF values, we'll go for stretching pixel intensity range, which may be intially `a` & `b`, where a > 0 && or || b < 255, but we'll make it 0 to 255.
- ContrastStretching() - Constructor for class in.itzmeanjan.filterit.transform.ContrastStretching
D
- detect(BufferedImage, int) - Method in class in.itzmeanjan.filterit.edgedetection.EdgeDetectionUsingDilation
-
First applies dilation and then subtracts source image from dilated image, resulting into edge highlighted image
- detect(BufferedImage, int) - Method in class in.itzmeanjan.filterit.edgedetection.EdgeDetectionUsingErosion
-
Detects edges of image
- detect(String, int) - Method in class in.itzmeanjan.filterit.edgedetection.EdgeDetectionUsingDilation
-
First applies dilation and then subtracts source image from dilated image, resulting into edge highlighted image
- detect(String, int) - Method in class in.itzmeanjan.filterit.edgedetection.EdgeDetectionUsingErosion
-
Detects edges of image
- dilate(BufferedImage, int, int) - Method in class in.itzmeanjan.filterit.morphology.Dilation
-
Dilation can be performed by simply applying mode filter ( picks high intensity pixel from neighbourhood ) iteratively for number of specified times.
- dilate(String, int, int) - Method in class in.itzmeanjan.filterit.morphology.Dilation
-
Applies dilation on image given as filepath
- Dilation - Class in in.itzmeanjan.filterit.morphology
-
Given an image with white foreground objects & black background color, it'll try to expand foreground area by applying a kernel on each pixel of image, which will make this pixel foreground ( white ) if at least one of the pixels present in its order-1 neighbourhood is white colored i.e.
- Dilation() - Constructor for class in.itzmeanjan.filterit.morphology.Dilation
- Division - Class in in.itzmeanjan.filterit.arithmetic
-
Given two images of equal dimension, it'll divide pixel intensity of first image by pixel intensity of second image, and store rounded value in resulting image, for each pixel, for each color component.
- Division() - Constructor for class in.itzmeanjan.filterit.arithmetic.Division
E
- EdgeDetectionUsingDilation - Class in in.itzmeanjan.filterit.edgedetection
-
Implements edge detection using dilation
- EdgeDetectionUsingDilation() - Constructor for class in.itzmeanjan.filterit.edgedetection.EdgeDetectionUsingDilation
- EdgeDetectionUsingErosion - Class in in.itzmeanjan.filterit.edgedetection
-
Detects edges of image by applying combination of erosion & subtraction.
- EdgeDetectionUsingErosion() - Constructor for class in.itzmeanjan.filterit.edgedetection.EdgeDetectionUsingErosion
- erode(BufferedImage, int, int) - Method in class in.itzmeanjan.filterit.morphology.Erosion
-
Erodes given image
- erode(String, int, int) - Method in class in.itzmeanjan.filterit.morphology.Erosion
-
Erodes given image
- Erosion - Class in in.itzmeanjan.filterit.morphology
-
Given an image it'll try to shrink foreground region of image, where foreground denoted by white color ( higher pixel intensity )
- Erosion() - Constructor for class in.itzmeanjan.filterit.morphology.Erosion
- exportImage(BufferedImage, String) - Static method in class in.itzmeanjan.filterit.ImportExportImage
-
Exports content of BufferedImage into a sink file
F
- filter(BufferedImage, int) - Method in interface in.itzmeanjan.filterit.filter.Filter
- filter(BufferedImage, int) - Method in class in.itzmeanjan.filterit.filter.MeanFilter
-
Applies mean filter on given buffered image of given order
- filter(BufferedImage, int) - Method in class in.itzmeanjan.filterit.filter.MedianFilter
-
Concurrently applies median filter on each row of image matrix ( prior to this implementation, was using pixel based concurrency, which was slowing down whole op for very large images )
- filter(BufferedImage, int) - Method in class in.itzmeanjan.filterit.filter.MinFilter
-
Given a buffered image, computes min pixel intensity from neighbourhood of that pixel, and replaces so in sink image.
- filter(BufferedImage, int) - Method in class in.itzmeanjan.filterit.filter.ModeFilter
-
Given an image & order value, it'll concurrently apply mode filter on each row of image matrix ( using convolution mechanism ) & return modified image, while not affecting original image
- filter(BufferedImage, int) - Method in class in.itzmeanjan.filterit.LaplacianFilter
- filter(String, int) - Method in interface in.itzmeanjan.filterit.filter.Filter
- filter(String, int) - Method in class in.itzmeanjan.filterit.filter.MeanFilter
-
Given a source image filepath & order of mean filter to be applied; it'll first read that image & then call aforementioned function on buffered image
- filter(String, int) - Method in class in.itzmeanjan.filterit.filter.MedianFilter
-
Applies median filter on given buffered image, returning a new buffered image
- filter(String, int) - Method in class in.itzmeanjan.filterit.filter.MinFilter
-
Given path to image file & order of filtering ( > 0 ), we'll compute min filtered image, to be returned in buffered image form, which can be processed further, if desired.
- filter(String, int) - Method in class in.itzmeanjan.filterit.filter.ModeFilter
- filter(String, int) - Method in class in.itzmeanjan.filterit.LaplacianFilter
- Filter - Interface in in.itzmeanjan.filterit.filter
- filterName() - Method in interface in.itzmeanjan.filterit.filter.Filter
- filterName() - Method in class in.itzmeanjan.filterit.filter.MeanFilter
- filterName() - Method in class in.itzmeanjan.filterit.filter.MedianFilter
-
Returns name of this filter
- filterName() - Method in class in.itzmeanjan.filterit.filter.MinFilter
-
Obtains name of this specific filter
- filterName() - Method in class in.itzmeanjan.filterit.filter.ModeFilter
-
Obtains name of this specific filter
- filterName() - Method in class in.itzmeanjan.filterit.LaplacianFilter
- fromBufferedImage(BufferedImage) - Static method in class in.itzmeanjan.filterit.segmentation.Image
-
Given a buffered image, it'll compute instance of Image class holding same information, but this class has utility methods which can help us in doing neighbourhood ops in a better fashion
G
- GammaCorrection - Class in in.itzmeanjan.filterit.transform
-
Given an image ( either color or grayscaled ), we'll transform each pixel intensity of that image using power law transformation / gamma correction function.
- GammaCorrection() - Constructor for class in.itzmeanjan.filterit.transform.GammaCorrection
- getIntensityB() - Method in class in.itzmeanjan.filterit.segmentation.Position
- getIntensityG() - Method in class in.itzmeanjan.filterit.segmentation.Position
- getIntensityR() - Method in class in.itzmeanjan.filterit.segmentation.Position
- getNeighbourhoodOfOrderX(Position, int) - Method in class in.itzmeanjan.filterit.segmentation.Image
-
Can obtain all valid pixel locations around specified pixel P, for specific order of neighbourhood
- getNeighbourhoodOfOrderXInclusive(Position, int) - Method in class in.itzmeanjan.filterit.segmentation.Image
-
Can obtain all valid pixel locations around specified pixel P, for specific order of neighbourhood
- getNeighbouringPixelsFromImage(BufferedImage, char, int) - Method in class in.itzmeanjan.filterit.Pixel
- getPosition(int, int) - Method in class in.itzmeanjan.filterit.segmentation.Image
-
Returns pixel information at I[y][x]
- getPositions() - Method in class in.itzmeanjan.filterit.segmentation.Image
-
Returns a matrix of all pixels present in image, in ordered fashion
- getState() - Method in class in.itzmeanjan.filterit.segmentation.Position
- getUnexploredN8(Position) - Method in class in.itzmeanjan.filterit.segmentation.Image
-
Obtains only those pixel locations ( in order 1 neighbourhood - N8 ) which are in inactive state ( state 0 )
- getX() - Method in class in.itzmeanjan.filterit.segmentation.Position
- getY() - Method in class in.itzmeanjan.filterit.segmentation.Position
- grayscale(BufferedImage) - Method in class in.itzmeanjan.filterit.GrayScale
-
Given a buffered image it'll concurrently compute grayscale of that image
- grayscale(String) - Method in class in.itzmeanjan.filterit.GrayScale
-
Computes grayscale of given image ( as filepath ), using above implementation
- GrayScale - Class in in.itzmeanjan.filterit
-
Given a RGB image, it'll grayscale that image by taking mean of intensities ( intensity of each of three color components ) at each pixel location of image, while not modifying original image
- GrayScale() - Constructor for class in.itzmeanjan.filterit.GrayScale
H
- height - Variable in class in.itzmeanjan.filterit.Pixel
- HistogramEqualization - Class in in.itzmeanjan.filterit.transform
-
Applies histrogram equalization transformation to distribute pixel intensity values all over whole range of possible pixel values ( i.e.
- HistogramEqualization() - Constructor for class in.itzmeanjan.filterit.transform.HistogramEqualization
- HorizontalRotation - Class in in.itzmeanjan.filterit.rotation
-
Horizontally rotates each row i.e.
- HorizontalRotation() - Constructor for class in.itzmeanjan.filterit.rotation.HorizontalRotation
I
- Image - Class in in.itzmeanjan.filterit.segmentation
-
Image abstraction class used for performing neighbourhood ( N8 ) ops with ease, works only on grayscale image
- Image(int, int) - Constructor for class in.itzmeanjan.filterit.segmentation.Image
-
Constructor to be used if you don't have all pixel intensities available right away, those can be updated later
- Image(int, int, Position[][]) - Constructor for class in.itzmeanjan.filterit.segmentation.Image
-
Constructor to be used if you've all pixel intensities available right away in form of matrix
- imageExtension(String) - Static method in class in.itzmeanjan.filterit.ImportExportImage
-
Given an image file name, obtains extension of that image i.e.
- ImportExportImage - Class in in.itzmeanjan.filterit
-
Helper class to read content of an image into BufferedImage object & write BufferedImage into image file
- ImportExportImage() - Constructor for class in.itzmeanjan.filterit.ImportExportImage
- importImage(String) - Static method in class in.itzmeanjan.filterit.ImportExportImage
-
Reads content of specified image file into a BufferedImage object
- in.itzmeanjan.filterit - package in.itzmeanjan.filterit
- in.itzmeanjan.filterit.affine - package in.itzmeanjan.filterit.affine
- in.itzmeanjan.filterit.arithmetic - package in.itzmeanjan.filterit.arithmetic
- in.itzmeanjan.filterit.bitwise - package in.itzmeanjan.filterit.bitwise
- in.itzmeanjan.filterit.edgedetection - package in.itzmeanjan.filterit.edgedetection
- in.itzmeanjan.filterit.filter - package in.itzmeanjan.filterit.filter
- in.itzmeanjan.filterit.morphology - package in.itzmeanjan.filterit.morphology
- in.itzmeanjan.filterit.rotation - package in.itzmeanjan.filterit.rotation
- in.itzmeanjan.filterit.rotation.util - package in.itzmeanjan.filterit.rotation.util
- in.itzmeanjan.filterit.segmentation - package in.itzmeanjan.filterit.segmentation
- in.itzmeanjan.filterit.smoothing - package in.itzmeanjan.filterit.smoothing
- in.itzmeanjan.filterit.transform - package in.itzmeanjan.filterit.transform
- InverseImageTransformation - Class in in.itzmeanjan.filterit.transform
-
Given a buffered image, applies inverse image transformation function on each pixel of it, and produces output buffered image
- InverseImageTransformation() - Constructor for class in.itzmeanjan.filterit.transform.InverseImageTransformation
- InverseLogTransformation - Class in in.itzmeanjan.filterit.transform
-
Inverse log transformation just works opposite of Log Transformation, it reduces pixel intensity values, which eventually makes image darker
- InverseLogTransformation() - Constructor for class in.itzmeanjan.filterit.transform.InverseLogTransformation
- isIntensityBWithInRange(int, int) - Method in class in.itzmeanjan.filterit.segmentation.Position
-
Checks whether this pixel's blue component intensity satisfies
- isIntensityGWithInRange(int, int) - Method in class in.itzmeanjan.filterit.segmentation.Position
-
Checks whether this pixel's green component intensity satisfies
- isIntensityRWithInRange(int, int) - Method in class in.itzmeanjan.filterit.segmentation.Position
-
Checks whether this pixel's red component intensity satisfies
- isOrderValid(int) - Method in interface in.itzmeanjan.filterit.filter.Filter
- isOrderValid(int) - Method in class in.itzmeanjan.filterit.filter.MeanFilter
-
Checks whether requested order of filter can be applied or not, order needs to be > 0
- isOrderValid(int) - Method in class in.itzmeanjan.filterit.filter.MedianFilter
-
Checks whether requested order of filter can be applied or not, order needs to be > 0
- isOrderValid(int) - Method in class in.itzmeanjan.filterit.filter.MinFilter
-
Checks whether requested order of filter can be applied or not, order needs to be > 0
- isOrderValid(int) - Method in class in.itzmeanjan.filterit.filter.ModeFilter
-
Checks whether requested order of filter can be applied or not, order needs to be > 0
- isOrderValid(int) - Method in class in.itzmeanjan.filterit.LaplacianFilter
-
Checks whether requested order of filter can be applied or not, order needs to be > 0
L
- LaplacianFilter - Class in in.itzmeanjan.filterit
- LaplacianFilter() - Constructor for class in.itzmeanjan.filterit.LaplacianFilter
- LogTransformation - Class in in.itzmeanjan.filterit.transform
-
Given an image ( either color or grayscaled ), we'll trasform each pixel intensity value by using one logarithm based function & output image to be buffered.
- LogTransformation() - Constructor for class in.itzmeanjan.filterit.transform.LogTransformation
M
- MeanFilter - Class in in.itzmeanjan.filterit.filter
-
Given a buffered image, it'll compute mean of pixel intensities for a square matrix ( odd valued row & column numbers ), centered at P(x, y), for each color components ( i.e.
- MeanFilter() - Constructor for class in.itzmeanjan.filterit.filter.MeanFilter
- MedianFilter - Class in in.itzmeanjan.filterit.filter
-
Given a buffered image / path to image file, it'll compute median of pixel intensity values in neighbourhood around it ( size of neighbourhood depends upon order [ >0 ] supplied while invoking filter ) for each pixel position.
- MedianFilter() - Constructor for class in.itzmeanjan.filterit.filter.MedianFilter
- MinFilter - Class in in.itzmeanjan.filterit.filter
-
Given an image, filters only minimum intensity pixels from neighborhood of a pixel ( neighbourhood surely depends upon order of filtering ) i.e.
- MinFilter() - Constructor for class in.itzmeanjan.filterit.filter.MinFilter
- ModeFilter - Class in in.itzmeanjan.filterit.filter
-
Implementation of mode filter i.e.
- ModeFilter() - Constructor for class in.itzmeanjan.filterit.filter.ModeFilter
- Multiplication - Class in in.itzmeanjan.filterit.arithmetic
-
Given two images of equal dimension, it'll multiply pixel intensity values of each image ( pixel by pixel fashion ), and resulting image to be stored in a different buffered image
- Multiplication() - Constructor for class in.itzmeanjan.filterit.arithmetic.Multiplication
O
- Opening - Class in in.itzmeanjan.filterit.smoothing
-
It's one of smoothing operations based on image morphological op.
- Opening() - Constructor for class in.itzmeanjan.filterit.smoothing.Opening
- operate(BufferedImage, int) - Method in class in.itzmeanjan.filterit.bitwise.BitwiseRightShift
-
Applies bitwise right shift operator on each pixel P[x, y] of source image & result being stored in sink image.
- operate(BufferedImage, int, boolean) - Method in class in.itzmeanjan.filterit.bitwise.BitwiseLeftShift
-
Applies bitwise left shift operator on each pixel P[x, y] of source image & result is stored in sink image.
- operate(BufferedImage, BufferedImage) - Method in class in.itzmeanjan.filterit.arithmetic.Division
-
Two buffered images are supplied, we'll extract each row of pixels from two images & apply division operator on each pixel, resulting image to be stored in different buffered image, which can be further processed / exported into file.
- operate(BufferedImage, BufferedImage) - Method in class in.itzmeanjan.filterit.bitwise.BitwiseAND
-
Concurrent implementation of bitwise AND operator on images of equal dimensions
- operate(BufferedImage, BufferedImage) - Method in class in.itzmeanjan.filterit.bitwise.BitwiseOR
-
Sequentially extracts each row of operand images, and concurrently processes each of them, on different thread of workers.
- operate(BufferedImage, BufferedImage) - Method in class in.itzmeanjan.filterit.bitwise.BitwiseXOR
-
Concurrent implementation of bitwise XOR operator on images of equal dimensions
- operate(BufferedImage, BufferedImage, boolean) - Method in class in.itzmeanjan.filterit.arithmetic.Addition
-
Concurrently applies addition operator on two buffered images of same dimension, where each row gets processed in a different thread, making overall execution faster, leveraging power of multicore CPUs
- operate(BufferedImage, BufferedImage, boolean) - Method in class in.itzmeanjan.filterit.arithmetic.Multiplication
-
Concurrently applies multiplication operator on two buffered images of same dimension, where each row gets processed in a different thread, making overall execution faster, leveraging power of multithreaed multicore CPUs
- operate(BufferedImage, BufferedImage, boolean) - Method in class in.itzmeanjan.filterit.arithmetic.Subtraction
-
Concurrently applies subtraction operator on two buffered images of same dimension, where each row gets processed in a different thread, making overall execution faster, leveraging power of multi threaded multicore CPUs
- operate(String, int) - Method in class in.itzmeanjan.filterit.bitwise.BitwiseRightShift
- operate(String, int, boolean) - Method in class in.itzmeanjan.filterit.bitwise.BitwiseLeftShift
- operate(String, String) - Method in class in.itzmeanjan.filterit.arithmetic.Division
- operate(String, String) - Method in class in.itzmeanjan.filterit.bitwise.BitwiseAND
- operate(String, String) - Method in class in.itzmeanjan.filterit.bitwise.BitwiseOR
- operate(String, String) - Method in class in.itzmeanjan.filterit.bitwise.BitwiseXOR
- operate(String, String, boolean) - Method in class in.itzmeanjan.filterit.arithmetic.Addition
-
Invokes previous implementation, after reading two operand images into buffered image object
- operate(String, String, boolean) - Method in class in.itzmeanjan.filterit.arithmetic.Multiplication
-
Invokes previous implementation, after reading two operand images into buffered image object
- operate(String, String, boolean) - Method in class in.itzmeanjan.filterit.arithmetic.Subtraction
-
Invokes previous implementation, after reading two operand images into buffered image object
P
- Pixel - Class in in.itzmeanjan.filterit
- Pixel(int, int, int, int) - Constructor for class in.itzmeanjan.filterit.Pixel
- Position - Class in in.itzmeanjan.filterit.segmentation
-
Holds location, intensity & state information of a pixel in image
- Position(int, int, int, int, int) - Constructor for class in.itzmeanjan.filterit.segmentation.Position
-
Holds pixel information i.e.
- posX - Variable in class in.itzmeanjan.filterit.Pixel
- posY - Variable in class in.itzmeanjan.filterit.Pixel
- prepareCanvas(int, int, Color) - Static method in class in.itzmeanjan.filterit.ImportExportImage
-
Generates a RGB buffered image of specified size, with each pixel set to given color
R
- RegionGrowing - Class in in.itzmeanjan.filterit.segmentation
-
Given a buffered image ( grayscale, if not gray scaled yet, to be done inside this implementation ), it'll compute segmented image using a seed pixel location, applying region growing algorithm
- RegionGrowing() - Constructor for class in.itzmeanjan.filterit.segmentation.RegionGrowing
- rotate(BufferedImage) - Method in class in.itzmeanjan.filterit.rotation.HorizontalRotation
-
Goes over each row of buffered image & rotates it left to right, where each row rotation to be done by one thread i.e.
- rotate(BufferedImage) - Method in interface in.itzmeanjan.filterit.rotation.Rotation
- rotate(BufferedImage) - Method in class in.itzmeanjan.filterit.rotation.util.RotateAntiClockwise180
- rotate(BufferedImage) - Method in class in.itzmeanjan.filterit.rotation.util.RotateAntiClockwise270
- rotate(BufferedImage) - Method in class in.itzmeanjan.filterit.rotation.util.RotateAntiClockwise90
- rotate(BufferedImage) - Method in class in.itzmeanjan.filterit.rotation.util.RotateClockwise180
- rotate(BufferedImage) - Method in class in.itzmeanjan.filterit.rotation.util.RotateClockwise270
- rotate(BufferedImage) - Method in class in.itzmeanjan.filterit.rotation.util.RotateClockwise90
- rotate(BufferedImage) - Method in class in.itzmeanjan.filterit.rotation.VerticalRotation
-
Given a buffered image we'll reverse each column and they will be no doubt done concurrently, leveraging power of modern multicore processors
- rotate(BufferedImage, double) - Method in class in.itzmeanjan.filterit.affine.Rotate
-
Rotates image by given angle ( in degrees ), performs concurrent processing of each row of image matrix
- rotate(String) - Method in class in.itzmeanjan.filterit.rotation.HorizontalRotation
-
Reads content of image & calls method defined exactly above
- rotate(String) - Method in interface in.itzmeanjan.filterit.rotation.Rotation
- rotate(String) - Method in class in.itzmeanjan.filterit.rotation.util.RotateAntiClockwise180
- rotate(String) - Method in class in.itzmeanjan.filterit.rotation.util.RotateAntiClockwise270
- rotate(String) - Method in class in.itzmeanjan.filterit.rotation.util.RotateAntiClockwise90
- rotate(String) - Method in class in.itzmeanjan.filterit.rotation.util.RotateClockwise180
- rotate(String) - Method in class in.itzmeanjan.filterit.rotation.util.RotateClockwise270
- rotate(String) - Method in class in.itzmeanjan.filterit.rotation.util.RotateClockwise90
- rotate(String) - Method in class in.itzmeanjan.filterit.rotation.VerticalRotation
-
Given path to image file, it'll be read & rotated, where actual vertical rotation implementation is present in method just above
- rotate(String, double) - Method in class in.itzmeanjan.filterit.affine.Rotate
-
Given an image by its file path, reads it, and rotates, rotated image is different than original i.e.
- Rotate - Class in in.itzmeanjan.filterit.affine
-
Performs affine transformation - ROTATION on given image, keeps source image unmodified
- Rotate() - Constructor for class in.itzmeanjan.filterit.affine.Rotate
- RotateAntiClockwise180 - Class in in.itzmeanjan.filterit.rotation.util
-
Given a buffered image, we'll rotate that image by 180° in anti-clockwise direction and obtain a new image, though original image buffer to stay unmodified.
- RotateAntiClockwise180() - Constructor for class in.itzmeanjan.filterit.rotation.util.RotateAntiClockwise180
- RotateAntiClockwise270 - Class in in.itzmeanjan.filterit.rotation.util
-
Given a buffered image, we'll rotate that image by 270° in anti-clockwise direction and obtain a new image, though original image buffer to stay unmodified.
- RotateAntiClockwise270() - Constructor for class in.itzmeanjan.filterit.rotation.util.RotateAntiClockwise270
- RotateAntiClockwise90 - Class in in.itzmeanjan.filterit.rotation.util
-
Given a buffered image, we'll rotate that image by 90° in anti-clockwise direction and obtain a new image, though original image buffer to stay unmodified.
- RotateAntiClockwise90() - Constructor for class in.itzmeanjan.filterit.rotation.util.RotateAntiClockwise90
- RotateClockwise180 - Class in in.itzmeanjan.filterit.rotation.util
-
Given an image, we'll rotate it by 180° in clockwise direction, using combination of two basic operations
- RotateClockwise180() - Constructor for class in.itzmeanjan.filterit.rotation.util.RotateClockwise180
- RotateClockwise270 - Class in in.itzmeanjan.filterit.rotation.util
-
Given an image, we'll rotate it by 270° in clockwise direction, using combination of two basic operations
- RotateClockwise270() - Constructor for class in.itzmeanjan.filterit.rotation.util.RotateClockwise270
- RotateClockwise90 - Class in in.itzmeanjan.filterit.rotation.util
-
Given an image, we'll rotate it by 90° in clockwise direction, using combination of two basic operations
- RotateClockwise90() - Constructor for class in.itzmeanjan.filterit.rotation.util.RotateClockwise90
- Rotation - Interface in in.itzmeanjan.filterit.rotation
-
To be implemented by horizontally & vertically rotating classes or any other utility classes which'll try to rotate image, following two abstract methods will be only way using which user gets to talk to rotation mechanism
S
- scale(BufferedImage, double, double) - Method in class in.itzmeanjan.filterit.affine.Scale
-
Scales pixels of given buffered image by using following formula
- scale(String, double, double) - Method in class in.itzmeanjan.filterit.affine.Scale
-
Scales given image ( by file path ) by calling above implemented method
- Scale - Class in in.itzmeanjan.filterit.affine
-
Given an image, it'll scale that image as per requested x & y param values in respective directions & returns transformed image ( generated using affine transformation rules )
- Scale() - Constructor for class in.itzmeanjan.filterit.affine.Scale
- scaleX(BufferedImage, double) - Method in class in.itzmeanjan.filterit.affine.Scale
-
Scales buffered image along X by given scale factor
- scaleX(String, double) - Method in class in.itzmeanjan.filterit.affine.Scale
-
Scales buffered image along X by given scale factor
- scaleY(BufferedImage, double) - Method in class in.itzmeanjan.filterit.affine.Scale
-
Scales buffered image along Y by given scale factor
- scaleY(String, double) - Method in class in.itzmeanjan.filterit.affine.Scale
-
Scales buffered image along Y by given scale factor
- segment(BufferedImage) - Method in class in.itzmeanjan.filterit.segmentation.AutomaticThresholding
-
Performs automatic thresholding based image segmentation op, using Otsu's Algorithm
- segment(BufferedImage, int, int, int) - Method in class in.itzmeanjan.filterit.segmentation.RegionGrowing
-
Computes segmented image following this rule, while considering specified pixel location as seed pixel
- segment(String) - Method in class in.itzmeanjan.filterit.segmentation.AutomaticThresholding
-
Performs automatic thresholding based image segmentation op, using Otsu's Algorithm
- segment(String, int, int, int) - Method in class in.itzmeanjan.filterit.segmentation.RegionGrowing
-
Segments image while considering specified pixel location as seed pixel
- setActive(int, int) - Method in class in.itzmeanjan.filterit.segmentation.Image
-
Set pixel state at I[y][x] to active ( 1 )
- setCanvas(BufferedImage, Color) - Static method in class in.itzmeanjan.filterit.ImportExportImage
-
Given a buffered image, we'll modify it by setting each pixel with provided color, could be helpful in setting background of image & then draw on it.
- setPosition(int, int, Position) - Method in class in.itzmeanjan.filterit.segmentation.Image
-
Sets pixel information at I[y][x]
- setState(int) - Method in class in.itzmeanjan.filterit.segmentation.Position
-
Updates state of Pixel
- smooth(BufferedImage, int, int) - Method in class in.itzmeanjan.filterit.smoothing.Closing
-
Smooths image using ordered combination morphological op - Dilation & Erosion
- smooth(BufferedImage, int, int) - Method in class in.itzmeanjan.filterit.smoothing.Opening
-
Smooths image using ordered combination of morphological ops i.e.
- smooth(String, int, int) - Method in class in.itzmeanjan.filterit.smoothing.Closing
-
Smooths image using ordered combination morphological op - Dilation & Erosion
- smooth(String, int, int) - Method in class in.itzmeanjan.filterit.smoothing.Opening
-
Smooths image using ordered combination of morphological ops i.e.
- Subtraction - Class in in.itzmeanjan.filterit.arithmetic
-
Given two images of same dimension it'll apply subtraction operation on each pixel pair & return modified image
- Subtraction() - Constructor for class in.itzmeanjan.filterit.arithmetic.Subtraction
T
- toString() - Method in class in.itzmeanjan.filterit.Pixel
- toString() - Method in class in.itzmeanjan.filterit.segmentation.Position
- transform(BufferedImage) - Method in class in.itzmeanjan.filterit.transform.ContrastStretching
-
For each pixel intensity value of a grayscale image, we'll apply afore defined transformation function & put transformed pixel intensity value in each cell, which will be returned ( that can be either exported or processed further )
- transform(BufferedImage) - Method in class in.itzmeanjan.filterit.transform.HistogramEqualization
-
Given a image ( which is already read in a BufferedImage object ), we'll first grayscale it ( grayscaling one already grayscaled image doesn't cause any side effects ), & then for each pixel intensity value we'll obtain transformed pixel intensity value i.e.
- transform(BufferedImage) - Method in class in.itzmeanjan.filterit.transform.InverseImageTransformation
-
Given one grayscaled / color image ( buffered ), it can be inversed using this method, it'll treat each pixel intensity value as RGB of three different component which might not have same values ( >= 0 && <= 255 )
- transform(BufferedImage, double) - Method in class in.itzmeanjan.filterit.transform.InverseLogTransformation
-
Given an instance of BufferedImage class & logarithm base value i.e.
- transform(BufferedImage, double) - Method in class in.itzmeanjan.filterit.transform.LogTransformation
-
Given an instance of BufferedImage class & logarithm base value i.e.
- transform(String) - Method in class in.itzmeanjan.filterit.transform.ContrastStretching
-
Just another way to invoke previous transformation function, instead of passing BufferedImage, image file name to be passed, which will be read & modified image buffer to be returned ( using previous function )
- transform(String) - Method in class in.itzmeanjan.filterit.transform.HistogramEqualization
-
If you want to just pass a path to an image, it'll read it & then return histogram equalized image
- transform(String) - Method in class in.itzmeanjan.filterit.transform.InverseImageTransformation
-
If you pass path to image, it'll read image into a buffer & pass that to actual worker method which is defined just above
- transform(String, double) - Method in class in.itzmeanjan.filterit.transform.InverseLogTransformation
-
Given a source image file, which will be buffered and above defined method to be invoked with that buffered image, returns transformed image
- transform(String, double) - Method in class in.itzmeanjan.filterit.transform.LogTransformation
-
Given a source image file, which will be buffered and above defined method to be invoked with that buffered image, returns transformed image
- translate(BufferedImage, int, int) - Method in class in.itzmeanjan.filterit.affine.Translate
-
Given a buffered image, it'll concurrently translate each pixel and put them into a different sink image i.e.
- translate(String, int, int) - Method in class in.itzmeanjan.filterit.affine.Translate
-
Given path to image file, it'll translate that by requested amount along X-axis & / or Y-axis
- Translate - Class in in.itzmeanjan.filterit.affine
-
Given a buffered image it'll compute translated buffered image by translating each pixel by given amount of translation along X-axis / Y-axis or both.
- Translate() - Constructor for class in.itzmeanjan.filterit.affine.Translate
- translateX(BufferedImage, int) - Method in class in.itzmeanjan.filterit.affine.Translate
-
Translates buffered image along X axis, while keeping translation along Y-axis 0
- translateX(String, int) - Method in class in.itzmeanjan.filterit.affine.Translate
-
Given path to image file, it'll return X translated image
- translateY(BufferedImage, int) - Method in class in.itzmeanjan.filterit.affine.Translate
-
Translates buffered image along Y axis, while keeping translation along X-axis 0
- translateY(String, int) - Method in class in.itzmeanjan.filterit.affine.Translate
-
Given path to image file, it'll return Y translated image
- transpose(BufferedImage) - Method in class in.itzmeanjan.filterit.Transpose
-
Performs transpose of image, returns transposed buffered image
- transpose(String) - Method in class in.itzmeanjan.filterit.Transpose
-
Given path to a image file, transposed buffered image to be returned
- Transpose - Class in in.itzmeanjan.filterit
-
Given a buffered image we'll transpose it, as we do in case of matrix, because 2D image is nothing but a matrix
- Transpose() - Constructor for class in.itzmeanjan.filterit.Transpose
V
- VerticalRotation - Class in in.itzmeanjan.filterit.rotation
-
Vertically rotates each column of given buffered image, returns a new buffered image
- VerticalRotation() - Constructor for class in.itzmeanjan.filterit.rotation.VerticalRotation
W
A B C D E F G H I L M O P R S T V WAll Classes All Packages


A module that builds additional functionality onto the Net::SSH::BufferedIo module. It adds SSH encryption, compression, and packet validation, as per the SSH2 protocol. It also adds an abstraction for polling packets, to allow for both blocking and non-blocking reads.
The client state object, which encapsulates the algorithms used to build packets to send to the server.
Returns true if the IO is available for reading, and false otherwise.
# File lib/net/ssh/transport/packet_stream.rb, line 72 def available_for_read? result = Net::SSH::Compat.io_select([self], nil, nil, 0) result && result.first.any? end
Performs any pending cleanup necessary on the IO and its associated state objects. (See State#cleanup).
# File lib/net/ssh/transport/packet_stream.rb, line 159 def cleanup client.cleanup server.cleanup end
The name of the client (local) end of the socket, as reported by the socket.
# File lib/net/ssh/transport/packet_stream.rb, line 39 def client_name @client_name ||= begin sockaddr = getsockname begin Socket.getnameinfo(sockaddr, Socket::NI_NAMEREQD).first rescue begin Socket.getnameinfo(sockaddr).first rescue begin Socket.gethostbyname(Socket.gethostname).first rescue lwarn { "the client ipaddr/name could not be determined" } "unknown" end end end end end
Enqueues a packet to be sent, but does not immediately send the packet. The given payload is pre-processed according to the algorithms specified in the client state (compression, cipher, and hmac).
# File lib/net/ssh/transport/packet_stream.rb, line 122 def enqueue_packet(payload) # try to compress the packet payload = client.compress(payload) # the length of the packet, minus the padding actual_length = 4 + payload.bytesize + 1 # compute the padding length padding_length = client.block_size - (actual_length % client.block_size) padding_length += client.block_size if padding_length < 4 # compute the packet length (sans the length field itself) packet_length = payload.bytesize + padding_length + 1 if packet_length < 16 padding_length += client.block_size packet_length = payload.bytesize + padding_length + 1 end padding = Array.new(padding_length) { rand(256) }.pack("C*") unencrypted_data = [packet_length, padding_length, payload, padding].pack("NCA*A*") mac = client.hmac.digest([client.sequence_number, unencrypted_data].pack("NA*")) encrypted_data = client.update_cipher(unencrypted_data) << client.final_cipher message = encrypted_data + mac debug { "queueing packet nr #{client.sequence_number} type #{payload.getbyte(0)} len #{packet_length}" } enqueue(message) client.increment(packet_length) self end
If the IO object requires a rekey operation (as indicated by either its client or server state objects, see State#needs_rekey?), this will yield. Otherwise, this does nothing.
# File lib/net/ssh/transport/packet_stream.rb, line 167 def if_needs_rekey? if client.needs_rekey? || server.needs_rekey? yield client.reset! if client.needs_rekey? server.reset! if server.needs_rekey? end end
Returns the next full packet. If the mode parameter is :nonblock (the default), then this will return immediately, whether a packet is available or not, and will return nil if there is no packet ready to be returned. If the mode parameter is :block, then this method will block until a packet is available.
# File lib/net/ssh/transport/packet_stream.rb, line 82 def next_packet(mode=:nonblock) case mode when :nonblock then if available_for_read? if fill <= 0 raise Net::SSH::Disconnect, "connection closed by remote host" end end poll_next_packet when :block then loop do packet = poll_next_packet return packet if packet loop do result = Net::SSH::Compat.io_select([self]) or next break if result.first.any? end if fill <= 0 raise Net::SSH::Disconnect, "connection closed by remote host" end end else raise ArgumentError, "expected :block or :nonblock, got #{mode.inspect}" end end
The IP address of the peer (remote) end of the socket, as reported by the socket.
# File lib/net/ssh/transport/packet_stream.rb, line 61 def peer_ip @peer_ip ||= if respond_to?(:getpeername) addr = getpeername Socket.getnameinfo(addr, Socket::NI_NUMERICHOST | Socket::NI_NUMERICSERV).first else "<no hostip for proxy command>" end end
Called when this module is used to extend an object. It initializes the states and generally prepares the object for use as a packet stream.
# File lib/net/ssh/transport/packet_stream.rb, line 179 def initialize_ssh @hints = {} @server = State.new(self, :server) @client = State.new(self, :client) @packet = nil initialize_buffered_io end
Tries to read the next packet. If there is insufficient data to read an entire packet, this returns immediately, otherwise the packet is read, post-processed according to the cipher, hmac, and compression algorithms specified in the server state object, and returned as a new Packet object.
# File lib/net/ssh/transport/packet_stream.rb, line 192 def poll_next_packet if @packet.nil? minimum = server.block_size < 4 ? 4 : server.block_size return nil if available < minimum data = read_available(minimum) # decipher it @packet = Net::SSH::Buffer.new(server.update_cipher(data)) @packet_length = @packet.read_long end need = @packet_length + 4 - server.block_size raise Net::SSH::Exception, "padding error, need #{need} block #{server.block_size}" if need % server.block_size != 0 return nil if available < need + server.hmac.mac_length if need > 0 # read the remainder of the packet and decrypt it. data = read_available(need) @packet.append(server.update_cipher(data)) end # get the hmac from the tail of the packet (if one exists), and # then validate it. real_hmac = read_available(server.hmac.mac_length) || "" @packet.append(server.final_cipher) padding_length = @packet.read_byte payload = @packet.read(@packet_length - padding_length - 1) my_computed_hmac = server.hmac.digest([server.sequence_number, @packet.content].pack("NA*")) raise Net::SSH::Exception, "corrupted mac detected" if real_hmac != my_computed_hmac # try to decompress the payload, in case compression is active payload = server.decompress(payload) debug { "received packet nr #{server.sequence_number} type #{payload.getbyte(0)} len #{@packet_length}" } server.increment(@packet_length) @packet = nil return Packet.new(payload) end
Generated with the Darkfish Rdoc Generator 2.


class: center, middle name:opening ## Engineering the Future of Medicine: ### Data Intensive Biomedical Science .center[
Joshua T. Vogelstein
Dept. Biomedical Engineering
Kavli Neuroscience Discovery Institute
Johns Hopkins University
questions: [jovo@jhu.edu](mailto:jovo at jhu dot edu)
slides:
] --- ### DIBS vs Data Science - Opportunities - low vs. high sample size - images vs. tables data types - Challenges - Data storage, management, visualization & access - Data analysis .center[
] --- #### Data Intensive Biomedical Science (DIBS)
--- class: center, middle
--- ### From Cosmos to Connectomes: The Evolution of Data-Intensive Science - Cosmology (at JHU/IDIES) founded data intensive science - We extended their framework to support brain sciences - Brain sciences are more heterogeneous than SDSS
--- #### Data Management, Storage, Visualization and Access: [Open Connectome Project](http://neurodata.io) - 200+ TB (largest) - 20+ publications/labs (Cell, Nature, Science) - 9+ species (most diverse) - many spatiotemporal scales
--- ### Data Analysis: the "best".... - [LOL](https://github.com/neurodata/LOL): linear classifier - [QOQ](https://github.com/neurodata/LOL): quadratic classifier - [RerF](https://github.com/neurodata/R-RerF/): nonlinear classifier - [MGC](https://github.com/neurodata/mgc): independence test - [FlashMatrix](https://github.com/flashxio/FlashX): matrix analysis library - [FlashGraph](https://github.com/flashxio/FlashGraphR): graph analytics library - [knor](https://github.com/flashxio/knor): k-means .center[
] --- ### Global Leadership - [1st Global Brain Workshop](http://brainx.io) @ JHU, Spring 2016 - 60+ scientists, 15+ funders, 12+ countries - [Report in Neuron](http://dx.doi.org/10.1016/j.neuron.2016.10.033) (top 5% most popular article) - [Science](http://science.sciencemag.org/content/352/6283/277), [NIH](http://www.braininitiative.org/2016/04/22/international-brain-projects-considered/), [MIT Tech Review](https://www.technologyreview.com/s/602274/three-grand-challenges-for-brain-science-that-can-be-solved-in-10-years/), [Nature](http://www.nature.com/news/worldwide-brain-mapping-project-sparks-excitement-and-concern-1.20658) cover it. - 2nd Global Brain Workshop @ Rockefeller, Fall 2016 - 400+ scientists - [Report in Cell](http://dx.doi.org/10.1016/j.cell.2017.02.023) - [US State Dept Announcement](https://2009-2017.state.gov/r/pa/prs/ps/2016/09/262200.htm) - [3rd Global Brain Workshop](http://brainx2.io) @ JHU, Summer 2017 - [1st Global Brain Hackathon](http://neuroscience.uchicago.edu/hackathon/) @ MBL, Fall 2017 - 24 hackers - Chair of BRAIN/NIH Data Science Core Consortium - Member of Global Brain Initiatve --- ### What's Next - Globally democratizing science - Lowering the barrier to entry
--- class: top, left .pull-left[ Internal Collaborations: - BME (Miller) - AMS (Priebe) - CS (Burns) - ChemBE (Schulman) - Physics (Szalay) - BioStats (Caffo) - Neuroscience (Huganir) - Applied Physics Lab Industry: - Google - Amazon - [gigantum](http://gigantum.io/) - [d8alab](https://d8alab.com/) ] .pull-left[ External Collaborations: - Allen Institute (Smith) - Janelia Research Campus - Stanford (Deisseroth) - Harvard (Engert) - Duke (Sapiro) - Baylor (Tolias) - Argonne National Labs (Kasthuri) Questions? - [jovo<EMAIL_ADDRESS>- [neurodata.io](http://neurodata.io) ]
--- ### Our Work @ BME/JHU | Agency | Year | RFP | | :--- | :--- | :--- | | NIH | 2012 | CRCNS Data Sharing | | DARPA | 2012| XDATA | NSF | 2013| BigData | NIH | 2014 | Transformative Research Award | DARPA | 2015| SIMPLEX | IARPA | 2016| MICrONS | NSF | 2016 | EAGER | NIH | 2017| Data Science Core | NSF | 2017| NeuroNex | Schmidt | 2018 | Science --- ##### Where Are We Now: Mesoscale Whole Clear Brain
--- ##### Where Are We Now: Nanoscale Brain Connectivity
--- ##### Where Are We Now: Whole Brain Activity


Defibrillation by Teleportation
Continuous excitation
- FitzHugh-Nagumo Model
- Beeler-Reuter Model
- TP Model
- OVVR Model
Excitation using discrete electrodes
- FitzHugh-Nagumo Model
Teleportation
- FitzHugh-Nagumo Model
Source Codes
You can download and see all the source codes from https://github.com/kaboudian/DefibrillationByTeleportation


The top 20 countries that the U.S. exported to during the WTO period are displayed by the
bar graph below. Feel free to select the different years using the drop-down.
Leveraging this information, you can also select the country you want to view more information on using the drop-down
for the line chart. On the line chart, try hovering over the dots and click on the circle for the year you'd like to view product information for.
Your selections will appear on the right and the isotype graph on the right will get updated to show the product compositions of exports
for the country and the year you have selected.
Selected Country:
Selected Year:
The below isotype graph gets updated based on your selections, which are
listed above (the default is Canada 2018, and since each icon represents $20M, exports
less than that would not appear below). Explore with the selections on the left!
Product Compositions for the Country & Year selected
(one icon = 20 million USD)
Similar to the export page, you can use the drop-downs below to take a look at the top 20 countries that the U.S.
imported from each year during the WTO period. You can also explore trends in imports from each country using the line graph.
Don't forget to click on the dots to view product information for the country and the year you are interested in.
Your selections will appear on the right and the isotype graph on the right will get updated accordingly.
Selected Country:
Selected Year:
This isotype graph gets updated based on your previous selections, which are
also listed above (since each icon represents $20M, imports
less than that would not appear below). Explore with the selections on the left!
Product Compositions for the Country & Year selected
(one icon = 20 million USD)


You are 0% Car Afficionated
1. What is the fastest car nowadays
2. What is the most expensive car sold ever
3. What is the best selling car ever
4. What is the fastest production car acceleration


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