Digital image processing is the use of computer algorithms to perform image processing on digital images. As a subcategory or field of digital signal processing, digital image processing has many advantages over analog image processing.
For the scope of this project, it was decided to analyze the data to form distinct clusters based on their tumor type. Unsupervised learning (K-means clustering and hierarchical clustering) were used. Also, it was decided to analyze this data as a classification task. Based on different attributes (primarily mass spectrometry analysis results for 12553 proteins) few classification algorithms were implemented to see if the model can generate the accurate label of cancer type.
This slide first introduces the sequential pattern mining problem and also presents some required definitions in order to understand GSP algorithm. At then end there is a brief introduction of GSP algorithm and some practical constraints which it supports.
Digital image processing is the use of computer algorithms to perform image processing on digital images. As a subcategory or field of digital signal processing, digital image processing has many advantages over analog image processing.
For the scope of this project, it was decided to analyze the data to form distinct clusters based on their tumor type. Unsupervised learning (K-means clustering and hierarchical clustering) were used. Also, it was decided to analyze this data as a classification task. Based on different attributes (primarily mass spectrometry analysis results for 12553 proteins) few classification algorithms were implemented to see if the model can generate the accurate label of cancer type.
This slide first introduces the sequential pattern mining problem and also presents some required definitions in order to understand GSP algorithm. At then end there is a brief introduction of GSP algorithm and some practical constraints which it supports.
Steganography and Its Applications in SecurityIJMER
ABSTRACT: Steganography is the dark cousin of cryptography, the use of codes. While cryptography provides privacy,
steganography is intended to provide secrecy. Steganography is a method of covertly communicating. Steganography is a
process that involves hiding a message in an appropriate carrier for example an image or an audio file. The carrier can then
be sent to a receiver without anyone else knowing that it contains a hidden message. This is a process, which can be used for
example by civil rights organizations in repressive states to communicate their message to the outside world without their
own government being aware of it. In this article we have tried to elucidate the different approaches towards implementation
of Steganography using ‘multimedia’ file (text, static image, audio and video). Steganalysis is a newly emerging branch of
data processing that seeks the identification of steganographic covers, and if possible message extraction. It is similar to
cryptanalysis in cryptography. The technique is ancient emerging monster that have gained immutable notice as it have
newly penetrated the world of digital communication security. Objective is not only to prevent the message being read but
also to hide its existence.
Keywords: Carrier, Privacy, Secrecy, Steganalysis, Steganography
An IP datagram has arrived with the following information in the heade.docxshawnk7
An IP datagram has arrived with the following information in the header(hex):
45000054 00030000 2006...
A.) What is the header size?
B.) Are there any options in the packet?
C.)What is the size of the data?
D.)Is the packet fragmented?
E.)How many more routers can the packet travel to?
F.)What is the protocol number of the payload being carried by the packet?
Solution
Answer:
We have given IP datagram derived with the information in Hex : 45000054 00030000 2006
Now , here we divide this information as the following :
A) Size of the header = 5 x 4 bytes = 20 Bytes
B) No, As you can see above
C) Length of the data = Total Length - HLEN = 84 - 20 = 64 Bytes
D) Yes
E) 32 Hops , so 32 routers . The last router will discard the datagram.
.
DATA STORAGE.Introduction to enterprise data storage.Data storage management.File Systems.Cloud file system.Cloud data stores.Using Grid for data storage.
Rule-based systems are used as a way to store and manipulate knowledge to interpret information in a useful way. Often used in artificial intelligence applications and research.
its very useful for students.
Sharpening process in spatial domain
Direct Manipulation of image Pixels.
The objective of Sharpening is to highlight transitions in intensity
The image blurring is accomplished by pixel averaging in a neighborhood.
Since averaging is analogous to integration.
Prepared by
M. Sahaya Pretha
Department of Computer Science and Engineering,
MS University, Tirunelveli Dist, Tamilnadu.
Contains description of CPN.
CP algorithm consists of a input, hidden and output layer.
In this case the hidden layer is called the Kohonen layer & the output layer is called the Grossberg layer.
This slides about brief Introduction to Image Restoration Techniques. How to estimate the degradation function, noise models and its probability density functions.
Steganography and Its Applications in SecurityIJMER
ABSTRACT: Steganography is the dark cousin of cryptography, the use of codes. While cryptography provides privacy,
steganography is intended to provide secrecy. Steganography is a method of covertly communicating. Steganography is a
process that involves hiding a message in an appropriate carrier for example an image or an audio file. The carrier can then
be sent to a receiver without anyone else knowing that it contains a hidden message. This is a process, which can be used for
example by civil rights organizations in repressive states to communicate their message to the outside world without their
own government being aware of it. In this article we have tried to elucidate the different approaches towards implementation
of Steganography using ‘multimedia’ file (text, static image, audio and video). Steganalysis is a newly emerging branch of
data processing that seeks the identification of steganographic covers, and if possible message extraction. It is similar to
cryptanalysis in cryptography. The technique is ancient emerging monster that have gained immutable notice as it have
newly penetrated the world of digital communication security. Objective is not only to prevent the message being read but
also to hide its existence.
Keywords: Carrier, Privacy, Secrecy, Steganalysis, Steganography
An IP datagram has arrived with the following information in the heade.docxshawnk7
An IP datagram has arrived with the following information in the header(hex):
45000054 00030000 2006...
A.) What is the header size?
B.) Are there any options in the packet?
C.)What is the size of the data?
D.)Is the packet fragmented?
E.)How many more routers can the packet travel to?
F.)What is the protocol number of the payload being carried by the packet?
Solution
Answer:
We have given IP datagram derived with the information in Hex : 45000054 00030000 2006
Now , here we divide this information as the following :
A) Size of the header = 5 x 4 bytes = 20 Bytes
B) No, As you can see above
C) Length of the data = Total Length - HLEN = 84 - 20 = 64 Bytes
D) Yes
E) 32 Hops , so 32 routers . The last router will discard the datagram.
.
DATA STORAGE.Introduction to enterprise data storage.Data storage management.File Systems.Cloud file system.Cloud data stores.Using Grid for data storage.
Rule-based systems are used as a way to store and manipulate knowledge to interpret information in a useful way. Often used in artificial intelligence applications and research.
its very useful for students.
Sharpening process in spatial domain
Direct Manipulation of image Pixels.
The objective of Sharpening is to highlight transitions in intensity
The image blurring is accomplished by pixel averaging in a neighborhood.
Since averaging is analogous to integration.
Prepared by
M. Sahaya Pretha
Department of Computer Science and Engineering,
MS University, Tirunelveli Dist, Tamilnadu.
Contains description of CPN.
CP algorithm consists of a input, hidden and output layer.
In this case the hidden layer is called the Kohonen layer & the output layer is called the Grossberg layer.
This slides about brief Introduction to Image Restoration Techniques. How to estimate the degradation function, noise models and its probability density functions.
A brief introduction to Hadoop distributed file system. How a file is broken into blocks, written and replicated on HDFS. How missing replicas are taken care of. How a job is launched and its status is checked. Some advantages and disadvantages of HDFS-1.x
Oracle Big Data Discovery working together with Cloudera Hadoop is the fastest way to ingest and understand data. Powerful data transformation capabilities mean that data can quickly be prepared for consumption by the extended organisation.
Easy Docker Deployments with Mesosphere DCOS on AzureMesosphere Inc.
Aaron Williams (Head of Advocacy at Mesosphere) and Ryan Lee (Cloud Infrastructure Engineer at 10th Magnitude) demonstrate how to use Mesosphere DCOS on Microsoft Azure to easily deploy Docker containers at scale.
This presentation and linked video (https://youtu.be/xNEZFRsANMk) will walk you through:
- What microservices are, and why a microservice-based architecture might be the right choice for your company
- How to easily deploy DCOS on Microsoft Azure
- Several different scenarios for deploying Docker containers using DCOS on Azure
http://www.mesosphere.com
http://www.10thmagnitude.com
In this webinar, we'll:
-Examine the key drivers and use cases for High Availability, performance and scalability for Apache Hadoop.
-Walk through an overview of reference architecture for a Non-Stop Hadoop implementation.
-Show how you can get started with Non-Stop Hadoop with the Hortonworks Data Platform.
Building Web Scale Apps with Docker and Mesos by Alex Rukletsov (Mesosphere)Docker, Inc.
Operating apps at web scale has become the new normal, but has been out of reach for most companies. Join us as we show you how to deploy and manage your Docker containers at scale. See how easy it is to build highly-available, fault-tolerant web scale apps using Docker with the Mesos cluster scheduler. Docker plus Mesos is a new way to scale applications. Together they give you capabilities similar to Google’s Borg, the Googleplex’s secret weapon of scalability and fault tolerance.
EMC Isilon Best Practices for Hadoop Data StorageEMC
This paper describes the best practices for setting up and managing the HDFS service on an EMC Isilon cluster to optimize data storage for Hadoop analytics. This paper covers OneFS 7.2 or later.
In these slides we analyze why the aggregate data models change the way data is stored and manipulated. We introduce MapReduce and its open source implementation Hadoop. We consider how MapReduce jobs are written and executed by Hadoop.
Finally we introduce spark using a docker image and we show how to use anonymous function in spark.
The topics of the next slides will be
- Spark Shell (Scala, Python)
- Shark Shell
- Data Frames
- Spark Streaming
- Code Examples: Data Processing and Machine Learning
Hadoop Mapreduce Performance Enhancement Using In-Node Combinersijcsit
While advanced analysis of large dataset is in high demand, data sizes have surpassed capabilities of
conventional software and hardware. Hadoop framework distributes large datasets over multiple
commodity servers and performs parallel computations. We discuss the I/O bottlenecks of Hadoop
framework and propose methods for enhancing I/O performance. A proven approach is to cache data to
maximize memory-locality of all map tasks. We introduce an approach to optimize I/O, the in-node
combining design which extends the traditional combiner to a node level. The in-node combiner reduces
the total number of intermediate results and curtail network traffic between mappers and reducers.
While advanced analysis of large dataset is in high demand, data sizes have surpassed capabilities of
conventional software and hardware. Hadoop framework distributes large datasets over multiple
commodity servers and performs parallel computations. We discuss the I/O bottlenecks of Hadoop
framework and propose methods for enhancing I/O performance. A proven approach is to cache data to
maximize memory-locality of all map tasks. We introduce an approach to optimize I/O, the in-node
combining design which extends the traditional combiner to a node level. The in-node combiner reduces
the total number of intermediate results and curtail network traffic between mappers and reducers.
Some of the common interview questions asked during a Big Data Hadoop Interview. These may apply to Hadoop Interviews. Be prepared with answers for the interview questions below when you prepare for an interview. Also have an example to explain how you worked on various interview questions asked below. Hadoop Developers are expected to have references and be able to explain from their past experiences. All the Best for a successful career as a Hadoop Developer!
Dache - a data aware cache system for big-data applications using the MapReduce framework.
Dache aim-extending the MapReduce framework and provisioning a cache layer for efficiently identifying and accessing cache items in a MapReduce job.
Hadoop Interview Questions and Answers by rohit kapakapa rohit
Hadoop Interview Questions and Answers - More than 130 real time questions and answers covering hadoop hdfs,mapreduce and administrative concepts by rohit kapa
Accompanying slides for the class “Introduction to Hadoop” at the PRACE Autumn school 2020 - HPC and FAIR Big Data organized by the faculty of Mechanical Engineering of the University of Ljubljana (Slovenia).
E-commerce Application Development Company.pdfHornet Dynamics
Your business can reach new heights with our assistance as we design solutions that are specifically appropriate for your goals and vision. Our eCommerce application solutions can digitally coordinate all retail operations processes to meet the demands of the marketplace while maintaining business continuity.
Globus Connect Server Deep Dive - GlobusWorld 2024Globus
We explore the Globus Connect Server (GCS) architecture and experiment with advanced configuration options and use cases. This content is targeted at system administrators who are familiar with GCS and currently operate—or are planning to operate—broader deployments at their institution.
Code reviews are vital for ensuring good code quality. They serve as one of our last lines of defense against bugs and subpar code reaching production.
Yet, they often turn into annoying tasks riddled with frustration, hostility, unclear feedback and lack of standards. How can we improve this crucial process?
In this session we will cover:
- The Art of Effective Code Reviews
- Streamlining the Review Process
- Elevating Reviews with Automated Tools
By the end of this presentation, you'll have the knowledge on how to organize and improve your code review proces
Check out the webinar slides to learn more about how XfilesPro transforms Salesforce document management by leveraging its world-class applications. For more details, please connect with sales@xfilespro.com
If you want to watch the on-demand webinar, please click here: https://www.xfilespro.com/webinars/salesforce-document-management-2-0-smarter-faster-better/
A Study of Variable-Role-based Feature Enrichment in Neural Models of CodeAftab Hussain
Understanding variable roles in code has been found to be helpful by students
in learning programming -- could variable roles help deep neural models in
performing coding tasks? We do an exploratory study.
- These are slides of the talk given at InteNSE'23: The 1st International Workshop on Interpretability and Robustness in Neural Software Engineering, co-located with the 45th International Conference on Software Engineering, ICSE 2023, Melbourne Australia
Globus Compute wth IRI Workflows - GlobusWorld 2024Globus
As part of the DOE Integrated Research Infrastructure (IRI) program, NERSC at Lawrence Berkeley National Lab and ALCF at Argonne National Lab are working closely with General Atomics on accelerating the computing requirements of the DIII-D experiment. As part of the work the team is investigating ways to speedup the time to solution for many different parts of the DIII-D workflow including how they run jobs on HPC systems. One of these routes is looking at Globus Compute as a way to replace the current method for managing tasks and we describe a brief proof of concept showing how Globus Compute could help to schedule jobs and be a tool to connect compute at different facilities.
We describe the deployment and use of Globus Compute for remote computation. This content is aimed at researchers who wish to compute on remote resources using a unified programming interface, as well as system administrators who will deploy and operate Globus Compute services on their research computing infrastructure.
Atelier - Innover avec l’IA Générative et les graphes de connaissancesNeo4j
Atelier - Innover avec l’IA Générative et les graphes de connaissances
Allez au-delà du battage médiatique autour de l’IA et découvrez des techniques pratiques pour utiliser l’IA de manière responsable à travers les données de votre organisation. Explorez comment utiliser les graphes de connaissances pour augmenter la précision, la transparence et la capacité d’explication dans les systèmes d’IA générative. Vous partirez avec une expérience pratique combinant les relations entre les données et les LLM pour apporter du contexte spécifique à votre domaine et améliorer votre raisonnement.
Amenez votre ordinateur portable et nous vous guiderons sur la mise en place de votre propre pile d’IA générative, en vous fournissant des exemples pratiques et codés pour démarrer en quelques minutes.
In the ever-evolving landscape of technology, enterprise software development is undergoing a significant transformation. Traditional coding methods are being challenged by innovative no-code solutions, which promise to streamline and democratize the software development process.
This shift is particularly impactful for enterprises, which require robust, scalable, and efficient software to manage their operations. In this article, we will explore the various facets of enterprise software development with no-code solutions, examining their benefits, challenges, and the future potential they hold.
Need for Speed: Removing speed bumps from your Symfony projects ⚡️Łukasz Chruściel
No one wants their application to drag like a car stuck in the slow lane! Yet it’s all too common to encounter bumpy, pothole-filled solutions that slow the speed of any application. Symfony apps are not an exception.
In this talk, I will take you for a spin around the performance racetrack. We’ll explore common pitfalls - those hidden potholes on your application that can cause unexpected slowdowns. Learn how to spot these performance bumps early, and more importantly, how to navigate around them to keep your application running at top speed.
We will focus in particular on tuning your engine at the application level, making the right adjustments to ensure that your system responds like a well-oiled, high-performance race car.
Unleash Unlimited Potential with One-Time Purchase
BoxLang is more than just a language; it's a community. By choosing a Visionary License, you're not just investing in your success, you're actively contributing to the ongoing development and support of BoxLang.
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...Juraj Vysvader
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I didn't get rich from it but it did have 63K downloads (powered possible tens of thousands of websites).
Do you want Software for your Business? Visit Deuglo
Deuglo has top Software Developers in India. They are experts in software development and help design and create custom Software solutions.
Deuglo follows seven steps methods for delivering their services to their customers. They called it the Software development life cycle process (SDLC).
Requirement — Collecting the Requirements is the first Phase in the SSLC process.
Feasibility Study — after completing the requirement process they move to the design phase.
Design — in this phase, they start designing the software.
Coding — when designing is completed, the developers start coding for the software.
Testing — in this phase when the coding of the software is done the testing team will start testing.
Installation — after completion of testing, the application opens to the live server and launches!
Maintenance — after completing the software development, customers start using the software.
2. 2
OVERVIEW
DistCp (distributed copy) is a tool used for
large inter/intra-cluster copying.
It uses MapReduce to effect its distribution,
error handling and recovery, and reporting.
It expands a list of files and directories into
input to map tasks, each of which will copy
a partition of the files specified in the
source list.
3. 3
OVERVIEW
Its MapReduce pedigree has endowed it
with some quirks in both its semantics and
execution.
The purpose of this document is to offer
guidance for common tasks and to elucidate
its model.
4. 4
• The most common invocation of DistCp is
an inter-cluster copy:
• bash$ hadoop distcp
hdfs://nn1:8020/foo/bar
hdfs://nn2:8020/bar/f
BASICS
5. 5
This will expand the namespace under
/foo/bar on nn1 into a temporary file,
partition its contents among a set of map
tasks, and start a copy on each TaskTracker
from nn1 to nn2.
Note that DistCp expects absolute paths.
BASICS
6. 6
Example 1
• One can also specify multiple source
directories on the command line:
bash$ hadoop distcp hdfs://nn1:8020/foo/a
• hdfs://nn1:8020/foo/b
• hdfs://nn2:8020/bar/foo
7. 7
• When copying from multiple sources, DistCp will
abort the copy with an error message if two
sources collide, but collisions at the destination
are resolved per the options specified.
• By default, files already existing at the destination
are skipped (i.e. not replaced by the source file). A
count of skipped files is reported at the end of
each job, but it may be inaccurate if a copier failed
for some subset of its files, but succeeded on a
later attempt
BASICS
8. 8
USAGE
It is important that each TaskTracker can
reach and communicate with both the
source and destination file systems.
For HDFS, both the source and
destination must be running the same
version of the protocol or use a
backwards-compatible protocol
9. 9
USAGE
• After a copy, it is recommended that one
generates and cross-checks a listing of the
source and destination to verify that the
copy was truly successful.
• Since DistCp employs both MapReduce and
the FileSystem API, issues in or between
any of the three could adversely and silently
affect the copy.
11. OPTIONS
• Modification times are not preserved. Also,
when -update is specified, status updates
will not be synchronized unless the file
sizes also differ (i.e. unless the file is re-
created).
11
12. • -overwrite Overwrite destination
If a map fails and -i is not specified,
all the files in the split, not only those that
failed, will be recopied. As discussed in the
following, it also changes the semantics for
generating destination paths, so users
should use this carefully.
12
13. • -sizelimit <n>
Limit the total size to be <= n bytes
• -delete
Delete the files existing in the dst but not
in src
The deletion is done by FS Shell. So the
trash will be used, if it is enable.
13