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This certificate recognizes the completion of an associate development path in data center university, including courses on cooling architectures, availability, fire protection, cabling strategies, cooling fundamentals, humidity, racks, physical security, power, generators, cooling layouts, power redundancy, power distribution, and physical infrastructure management. The recipient of this certificate is Ali Ibrahim and it was issued on August 6, 2013.
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This certificate recognizes the completion of an associate development path in data center university, including courses on cooling architectures, availability, fire protection, cabling, cooling, racks, physical security, power, generators, cooling layout optimization, power redundancy, power distribution, and physical infrastructure management basics. The recipient's name is Irfan Shamoon and the certificate is dated July 20, 2014.
Progeny LIMS sets a new standard for life science LIMS software. Manage absolutely any type of sample and associated data in a fully customizable multi-level inventory system. With a flexible database that is configurable directly through the user interface, you have the power to customize your system to match any lab requirement without the need for custom programming. A dedicated Progeny LIMS specialist will work with you hand-in-hand from defining your project until the moment you go live. From biobanks to individual clinical labs, Progeny LIMS is your affordable sample tracking solution.
IRJET- Application Backup and Restore across Multiple DevicesIRJET Journal
This document discusses an application that provides backup and restore capabilities across multiple devices. The application uses techniques like Selenium WebDriver and CRIU to backup application data to the cloud. It then allows users to restore application states on different systems. The architecture involves backing up data from user devices to the cloud. When restoration is requested, the relevant backed up data is retrieved from the cloud to restore the application state, allowing users to resume tasks. The document evaluates restoring states of text editors, program executions, and web application content and sessions.
The new data-driven industrial revolution highlights the need for big data technologies to unlock the potential in various application domains. The insurance and finance services industry is rapidly transformed by data-intensive operations and applications. FinTech and InsuranceTech combine very large datasets from legacy banking systems with other data sources such as financial markets data, regulatory datasets, real-time retail transactions, and more, improving financial services and activities for customers.
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This document describes a school management system project submitted by MD Al Emran to fulfill degree requirements. The project was supervised by Dr. Sheak Rashed Haider Noori and approved by a board of examiners from Daffodil International University. The project aims to develop a computerized system to manage student and teacher data, class schedules, attendance records, and other administrative tasks to improve efficiency at schools. Key features of the system include modules for student records, teacher information, student results, notices, class allocation, attendance tracking, and report generation.
This certificate recognizes the completion of an associate development path in data center university, including courses on cooling architectures, availability, fire protection, cabling strategies, cooling fundamentals, humidity, racks, physical security, power, generators, cooling layouts, power redundancy, power distribution, and physical infrastructure management. The recipient of this certificate is Ali Ibrahim and it was issued on August 6, 2013.
The document is a resume for Jonathan W. Lang that summarizes his education in Robotic Systems Technology at Oakland Community College. The 2-year Associate's degree program provides instruction in electronics, robotics, automation systems, electrical circuits, computer numerical control, and mechanical, hydraulic, and pneumatic systems. Graduates are prepared for jobs installing, servicing, and repairing automated equipment and robotic systems as technicians working with engineers and maintenance personnel.
Data Center Certified Associate Exam Development Path_irfan.shamoonIrfan Shamoon
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Progeny LIMS sets a new standard for life science LIMS software. Manage absolutely any type of sample and associated data in a fully customizable multi-level inventory system. With a flexible database that is configurable directly through the user interface, you have the power to customize your system to match any lab requirement without the need for custom programming. A dedicated Progeny LIMS specialist will work with you hand-in-hand from defining your project until the moment you go live. From biobanks to individual clinical labs, Progeny LIMS is your affordable sample tracking solution.
IRJET- Application Backup and Restore across Multiple DevicesIRJET Journal
This document discusses an application that provides backup and restore capabilities across multiple devices. The application uses techniques like Selenium WebDriver and CRIU to backup application data to the cloud. It then allows users to restore application states on different systems. The architecture involves backing up data from user devices to the cloud. When restoration is requested, the relevant backed up data is retrieved from the cloud to restore the application state, allowing users to resume tasks. The document evaluates restoring states of text editors, program executions, and web application content and sessions.
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The document describes the OGCE Workflow Toolkit and its applications for multi-scale science. It discusses the Data Capacitor storage solution and science gateways that provide tools and data access via portals. The LEAD weather gateway is used as an example, allowing access to radar data. The OGCE toolkit includes services like the workflow engine, registry, and event notification bus that enable flexible and extensible scientific workflows across resources like TeraGrid.
PERICLES Workflow for the automated updating of Digital Ecosystem Models with...PERICLES_FP7
This presentation was delivered by Anna Eggers (State and University Library Göttingen) and Fabio Corubolo (University of Liverpool) at PERICLES final project conference 'Acting on Change: New Approaches and Future Practices in LTDP' (Wellcome Collection Conference Centre, London, 30 Nov -1 Dec 2016).
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Conference: 42nd Annual Industrial
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In this project, developed a computer vision system using Convolutional Neural Networks (CNN) to automatically recognize and detect different food items in images. The goal was to enable users to take a picture of their meal and get instant recipe suggestions based on the identified food items.
I trained the CNN model on a large dataset of food images with corresponding recipe labels. The model learned to identify various ingredients and dishes accurately. To achieve this, I preprocessed the images, extracted relevant features, and fine-tuned the CNN architecture to optimize its performance.
The application of the project involves taking a photo of a dish or meal, passing it through the trained model, and then displaying a list of possible recipes that match the detected ingredients. The user can select a recipe of their choice to get detailed cooking instructions.
The project aims to simplify cooking experiences, assist people in discovering new recipes based on the ingredients they have, and help in reducing food waste by suggesting recipes that utilize leftover ingredients effectively.
Throughout the development process, I encountered challenges related to data collection, model training, and fine-tuning to achieve accurate predictions. The project taught me valuable skills in deep learning, image processing, and dataset management.
In conclusion, "Recipe Detection of Food Image using Deep Learning (CNN)" is a practical and innovative project that leverages machine learning techniques to make cooking more convenient and enjoyable for users.
This document outlines the scope and objectives of an online patient treatment system project. It discusses conducting a feasibility study that covers financial, technical, resource, time, economic, behavioral, operational, and risk considerations. It also outlines the deliverables, which will include use case, ER, sequence, class, state machine, object, and activity diagrams, as well as testing. The system aims to provide online treatment and medical records, timely patient care, a doctor directory, and automated processes to help patients in remote areas access healthcare.
Online resume builder management system project report.pdfKamal Acharya
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This software is designed keeping in mind the user’s efficiency & ease of handling and maintenance , as and secured system over centralized data handling and providing with the features to get the complete study and control over the business.
The report depicts the basics logic used for software development long with the Activity diagrams so that logics may be apprehended without difficulty.
For detailed information, screen layouts, provided along with this report can be viewed.
Although this report is prepared with considering the results required these may be across since the project is subjected to future enhancements as per the need of organizations.
This document provides a summary of a project proposal for developing a School Admission Process Management System. It includes sections on project initiation and scheduling, diagrams, project cost estimation, designing the user interface, and testing approaches. The project aims to automate the currently manual school admission process to make it faster and easier to use. It will develop a web-based system using technologies like ASP.NET, SQL Server, and PHP/MySQL. Testing will include white box, black box, unit, integration, and system testing approaches. The document outlines the requirements, feasibility, advantages over the current system, and includes diagrams to depict the system design.
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Walmart Business+ and Spark Good for Nonprofits.pdfTechSoup
"Learn about all the ways Walmart supports nonprofit organizations.
You will hear from Liz Willett, the Head of Nonprofits, and hear about what Walmart is doing to help nonprofits, including Walmart Business and Spark Good. Walmart Business+ is a new offer for nonprofits that offers discounts and also streamlines nonprofits order and expense tracking, saving time and money.
The webinar may also give some examples on how nonprofits can best leverage Walmart Business+.
The event will cover the following::
Walmart Business + (https://business.walmart.com/plus) is a new shopping experience for nonprofits, schools, and local business customers that connects an exclusive online shopping experience to stores. Benefits include free delivery and shipping, a 'Spend Analytics” feature, special discounts, deals and tax-exempt shopping.
Special TechSoup offer for a free 180 days membership, and up to $150 in discounts on eligible orders.
Spark Good (walmart.com/sparkgood) is a charitable platform that enables nonprofits to receive donations directly from customers and associates.
Answers about how you can do more with Walmart!"
Beyond Degrees - Empowering the Workforce in the Context of Skills-First.pptxEduSkills OECD
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The document describes an electronic room scheduling application called Electronic Room Scheduler that allows authorized users to schedule classes, manage events, set alarms, receive notifications, and run scheduling from smartphones, tablets, or desktops. A proposed enhancement adds a "News and Notifications" feature displaying upcoming university events sourced from the internet, with authorized users able to edit or post event information. The project involved developing prototypes, usability testing to improve the interface, and an updated coded version.
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PERICLES Workflow for the automated updating of Digital Ecosystem Models with...PERICLES_FP7
This presentation was delivered by Anna Eggers (State and University Library Göttingen) and Fabio Corubolo (University of Liverpool) at PERICLES final project conference 'Acting on Change: New Approaches and Future Practices in LTDP' (Wellcome Collection Conference Centre, London, 30 Nov -1 Dec 2016).
This 'PERICLES in practice' session aimed at demonstrating how the PET and the EcoBuilder tools can be used to generate information to populate Digital Ecosystem Model (entities) and how the model can be fed into the Entity Registry Model Repository (ERMR). This session showed how the PERICLES tools can contribute to automated model instance creation and automatic updating.
The 'PERICLES in practice' sessions presented specific outcomes of the PERICLES project set in an example workflow, combining tools to accomplish a goal defined by practitioners and derived from real life challenges they experience in their field of work.
This document is a project report on a Passport Automation System submitted by K. Sheryl Hladini to fulfill requirements for a Master's degree in Computer Applications. It discusses problems with the existing manual passport system and proposes developing a new automated system to streamline the passport application process. The report outlines various sections of the new system including problem definition, feasibility study, software requirements, UML diagrams, testing plans, and conclusions. The feasibility study evaluates the technical, operational, and economic feasibility of the new automated passport system.
The project “Passport Automation System” is used in the effective dispatch of passport to all of the applicants. This system adopts a comprehensive approach to minimize the manual work and schedule resources, time in a cogent manner. The core of the system is to get the online registration form (with details such as name, address etc.,) filled by the applicant whose testament is verified for its genuineness by the Passport Automation System with respect to the already existing information in the database.
It aims at improving the efficiency in the Issue of Passport and reduces the complexities involved in it to the maximum possible extent.
The document discusses the development of an online application and allocation system for student residence at a university. It will transform the current manual system into a computerized and graphical user interface system. The development will use Rapid Application Development methodology for its faster cycles and quality improvements. Various testing strategies are outlined including unit, integration, functional, and acceptance. Risks are analyzed and mitigated for technical issues, operations, human threats, and natural disasters. Security measures are also discussed to ensure confidentiality, integrity and availability of the system and user data.
This document is a project report submitted by four students for their Bachelor of Technology degree in Computer Science and Engineering. It outlines the development of an Online Attendance System under the guidance of their professor. The report includes an introduction to the project, feasibility study, hardware and software requirements, description of the MySQL database used, disadvantages of the current manual system, characteristics of the proposed online system, analysis including data flow diagrams and entity relationship diagrams, overview of Java Server Pages technology used, and codes and database tables developed.
This document describes a crop management system developed in Python that utilizes a crop dataset in Excel format. The system takes user inputs like nitrogen, phosphorus, potassium levels, temperature, rainfall, and humidity to recommend suitable crops. It uses K-Nearest Neighbors algorithms to match user requirements to the crop dataset and generates text and voice responses. The system aims to improve on costly and inefficient existing hardware-based solutions by providing an easy-to-use application with a user-friendly interface and voice commands to recommend crops.
This document is a project report submitted by three students (Amit Kumar, Ankit Singh, and Sushant Bhadkamkar) for their Bachelor of Engineering degree in Computer Science. The report describes their work on a parallel computing cluster called Parallex. Parallex aims to create a high-performance computing system without requiring modifications to operating system kernels. It allows different operating systems and processor architectures to work together in parallel without using existing parallel libraries. The students implemented new distribution algorithms and parallel algorithms for Parallex to make administration and usage simple while maintaining efficiency.
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This document outlines plans for developing a university application for Kuvempu University. The proposed app aims to make university information easily accessible to students and others by providing features from the university website in a more user-friendly mobile format. It will allow users to easily access information like results, exams, and resources to reduce difficulties and power consumption. The app development will follow standard Android practices, utilizing common structures like activities, intents, and data flow between components. Screenshots and future enhancements are provided.
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Ignou MCA 4th semester mini project report. College admission system. This project is based on real working system of University seat allocation to affiliate colleges. College admission system provide seat allocation process for various UG PG programs for every academic session.
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In this project, developed a computer vision system using Convolutional Neural Networks (CNN) to automatically recognize and detect different food items in images. The goal was to enable users to take a picture of their meal and get instant recipe suggestions based on the identified food items.
I trained the CNN model on a large dataset of food images with corresponding recipe labels. The model learned to identify various ingredients and dishes accurately. To achieve this, I preprocessed the images, extracted relevant features, and fine-tuned the CNN architecture to optimize its performance.
The application of the project involves taking a photo of a dish or meal, passing it through the trained model, and then displaying a list of possible recipes that match the detected ingredients. The user can select a recipe of their choice to get detailed cooking instructions.
The project aims to simplify cooking experiences, assist people in discovering new recipes based on the ingredients they have, and help in reducing food waste by suggesting recipes that utilize leftover ingredients effectively.
Throughout the development process, I encountered challenges related to data collection, model training, and fine-tuning to achieve accurate predictions. The project taught me valuable skills in deep learning, image processing, and dataset management.
In conclusion, "Recipe Detection of Food Image using Deep Learning (CNN)" is a practical and innovative project that leverages machine learning techniques to make cooking more convenient and enjoyable for users.
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Online resume builder management system project report.pdfKamal Acharya
This project aims at the Introduction to app Service Management.
This software is designed keeping in mind the user’s efficiency & ease of handling and maintenance , as and secured system over centralized data handling and providing with the features to get the complete study and control over the business.
The report depicts the basics logic used for software development long with the Activity diagrams so that logics may be apprehended without difficulty.
For detailed information, screen layouts, provided along with this report can be viewed.
Although this report is prepared with considering the results required these may be across since the project is subjected to future enhancements as per the need of organizations.
This document provides a summary of a project proposal for developing a School Admission Process Management System. It includes sections on project initiation and scheduling, diagrams, project cost estimation, designing the user interface, and testing approaches. The project aims to automate the currently manual school admission process to make it faster and easier to use. It will develop a web-based system using technologies like ASP.NET, SQL Server, and PHP/MySQL. Testing will include white box, black box, unit, integration, and system testing approaches. The document outlines the requirements, feasibility, advantages over the current system, and includes diagrams to depict the system design.
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This document proposes a smart IoT-based bridge monitoring and damage detection system using an Android app. A 3-level distributed structure is used, including a central server, intelligent acquisition nodes located across the bridge, and local controllers. Acquisition nodes sample displacement, acceleration, and strain of the bridge using sensors and an A/D converter. They analyze and compress sensor data before sending results to local controllers via WiFi. Local controllers then transmit data to the central server using 4G wireless networks. This architecture aims to reduce server and bandwidth loads compared to traditional wired systems. The system uses Arduino, Bluetooth, sensors and an Android app to monitor vibration, traffic, weight, and other parameters, alerting managers if thresholds are exceeded
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The webinar may also give some examples on how nonprofits can best leverage Walmart Business+.
The event will cover the following::
Walmart Business + (https://business.walmart.com/plus) is a new shopping experience for nonprofits, schools, and local business customers that connects an exclusive online shopping experience to stores. Benefits include free delivery and shipping, a 'Spend Analytics” feature, special discounts, deals and tax-exempt shopping.
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9
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This presentation was provided by Racquel Jemison, Ph.D., Christina MacLaughlin, Ph.D., and Paulomi Majumder. Ph.D., all of the American Chemical Society, for the second session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session Two: 'Expanding Pathways to Publishing Careers,' was held June 13, 2024.
This presentation was provided by Rebecca Benner, Ph.D., of the American Society of Anesthesiologists, for the second session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session Two: 'Expanding Pathways to Publishing Careers,' was held June 13, 2024.
2. Application State Backup And Restoration Across
Multiple Devices
2
Student Names :-
Shubham Kadam
Piyush Khadse
Mayur Padma
Pooja Chate
MAEER’s Maharashtra Institute of Technology, Pune
Department of Computer Engineering
Under the guidance of :-
Prof. Mrs. Ruhi Patankar
3. Agenda
Introduction
Literature Survey
Gaps in Literature survey
The problem statement
Justification of the problem statement
Techniques used
System Architecture
System Flow
Algorithm for System Application
Algorithm for Web Application
Applications
Future Scope
Conclusion
References
3
4. Introduction
Data and its importance
Cause and effects of application or system failures
Solution - backup and restore the state
Restore application across multiple devices
4
6. 7/2/18MIT, PUNE6
No. Year Name of Paper Description Advantages Limitations
1. 2016 Backup and Disaster
Recovery System for
HDFS, IEEE
Backup of file
system
No version
dependency of
HDFS
Full File System’s
backup is
possible
High speed
transmission
needed
2. 2016 On the Advanced
Strategies of Next
Generation Online
Examination System
Implementing Cloud
Based Standardization,
IEEE
OES using cloud
based services and
technologies.
Backup and
Recovery of
application
Huge numbers of
examinees can
appear.
Need of
Internet
connection
3. 2014 A Cloud Environment
for Backup and Data
Storage, IEEE
PVFS2 (Parallel
Virtual File System)
PVFS2,
performance is
improved
PVFS2
needed for
concurrency.
4. 2014 DR-Cloud: Multi-Cloud
Based Disaster
Recovery Service,
IEEE
Multiple clouds
Resources
limitation
Replicas on
multiple cloud
Increase in
cost
7. Gaps In Literature Survey
7/2/18MIT, PUNE7
• Approach looks expensive
• Security mechanism is not specified
• No error correction and detection mechanism
• No Packet delivery confirmation
11. 7/2/18MIT, PUNE11
• open source tool for assisting with the
development of test automation.
• supporting test automation.
• key feature is the support for executing
one’s tests on multiple browser platforms.
Selenium webdriver tool :
12. 7/2/18MIT, PUNE12
CRIU
• Used to implement checkpoint/restore
functionality
• Applications:
1. Live Migration
2. Snapshots of Apps
3. Process Duplication
17. 7/2/18MIT, PUNE17
Algorithm For System Application
Generate Dump Files of Applications.
Upload it on Cloud.
Download those Dump Files from Cloud to Restore
Applications.
And then Restore it using CRIU.
18. 7/2/18MIT, PUNE18
Algorithm For Web Application
• To Restore session , Get cookies for Web
Applications.
• Upload Cookies on Cloud as Backup.
• Then Download Cookies from cloud.
• Add Cookies to Browser and Open Web App then
Web App session will be restored.
• To retrieve Web Forms, Get All Fields of Web Forms
and their values.
• Write them on JSON File and Upload it on Cloud.
• To restore Form, Read JSON File Contents and Set
attribute and Values.
19. Applications
7/2/18MIT, PUNE19
• Support real time applications
• Effective for large scale data processing.
• Support the applications from local failures (high
availability) as well as site failures (disaster
recovery).
• Recover across multiple devices.
20. Future Scope
7/2/18MIT, PUNE20
• Suggest the best method to go about securing data.
• Platform Independence.
• Generalizing the system.
21. Conclusion
7/2/18MIT, PUNE21
• System being used for application state restoration.
• Different techniques to backup and restore the data securely
and in optimal fashion.
• The system allows to restore the application state on multiple
devices.
22. References
7/2/18MIT, PUNE22
• S. Biswas, R. Roy, M. R. Chowdhury and A. B.
Bhattacharya, "On the Advanced Strategies of Next
Generation Online Examination System Implementing
Cloud Based Standardization: Next Generation Online
Examination System," 2016 IEEE 6th International
Conference on Advanced Computing (IACC), Bhimavaram,
2016, pp. 834-839.
• S. Luo, Y. Wang, W. Huang and H. Yu, "Backup and
Disaster Recovery System for HDFS," 2016 IEEE
International Conference on Information Science and
Security (ICISS), Pattaya, 2016, pp. 1-4.
23. References
7/2/18MIT, PUNE23
• Y. Gu, D. Wang and C. Liu, "DR-Cloud: Multi-cloud based
disaster recovery service," in Tsinghua Science and
Technology, vol. 19, no. 1, pp. 13-23, Feb. 2014.
• H. E. Camacho, J. Alfredo Brambila, A. Peña and J. M.
Vargas, "A cloud enviroment for backup and data
storage," 2014 IEEE International Conference on
Electronics, Communications and Computers
(CONIELECOMP), Cholula, 2014, pp. 111-117.