The mathematical description of object oriented language has already been developed by Srivastav et al. The authors have already published papers where they have shown that it is possible to describe programming language such as C, Java using simple mathematical sets and relations. The authors have established that it is possible to describe object oriented language like Java and its various aspects such as object, class, inheritance using simple mathematical models. In the present study the authors have proposed the mathematical modeling of Multi threaded programming in java language. The authors have tried to explore the single threaded program and as well as multi threaded program using simple mathematical modeling. The same idea may be applied to C# language also
Learning scientific scholar representations using a combination of collaborat...Ankush Khandelwal
Aim of the project is to learn vector representations for authors who publish scientific research papers . The representations should be such that authors who work in same domain ( i.e. same research area ) must be closer in vector space. These representations helps to categorize or cluster authors into various categories and further predict future collaboration based on past data.
Learning scientific scholar representations using a combination of collaborat...Ankush Khandelwal
Aim of the project is to learn vector representations for authors who publish scientific research papers . The representations should be such that authors who work in same domain ( i.e. same research area ) must be closer in vector space. These representations helps to categorize or cluster authors into various categories and further predict future collaboration based on past data.
Mapping Subsets of Scholarly InformationPaul Houle
We illustrate the use of machine learning techniques to analyze, structure, maintain,
and evolve a large online corpus of academic literature. An emerging field of research
can be identified as part of an existing corpus, permitting the implementation of a
more coherent community structure for its practitioners.
Farthest Neighbor Approach for Finding Initial Centroids in K- MeansWaqas Tariq
Text document clustering is gaining popularity in the knowledge discovery field for effectively navigating, browsing and organizing large amounts of textual information into a small number of meaningful clusters. Text mining is a semi-automated process of extracting knowledge from voluminous unstructured data. A widely studied data mining problem in the text domain is clustering. Clustering is an unsupervised learning method that aims to find groups of similar objects in the data with respect to some predefined criterion. In this work we propose a variant method for finding initial centroids. The initial centroids are chosen by using farthest neighbors. For the partitioning based clustering algorithms traditionally the initial centroids are chosen randomly but in the proposed method the initial centroids are chosen by using farthest neighbors. The accuracy of the clusters and efficiency of the partition based clustering algorithms depend on the initial centroids chosen. In the experiment, kmeans algorithm is applied and the initial centroids for kmeans are chosen by using farthest neighbors. Our experimental results shows the accuracy of the clusters and efficiency of the kmeans algorithm is improved compared to the traditional way of choosing initial centroids.
Presentation of research paper 'Study of some data mining classification techniques'(International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395 -0056 p-ISSN: 2395-0072 Volume: 04 Issue: 04 | Apr -2017) for a academic purpose during post graduation. in this study i describe some data mining classification techniques such as ANN, SVM,decision tree with example.
Whether your looking to redesign your existing WooCommerce site, develop a new e-commerce store with WooCommerce, or need our WordPress migration services, Thrive Internet Marketing can help. Contact the experience WooCommerce developers in Dallas.
Mapping Subsets of Scholarly InformationPaul Houle
We illustrate the use of machine learning techniques to analyze, structure, maintain,
and evolve a large online corpus of academic literature. An emerging field of research
can be identified as part of an existing corpus, permitting the implementation of a
more coherent community structure for its practitioners.
Farthest Neighbor Approach for Finding Initial Centroids in K- MeansWaqas Tariq
Text document clustering is gaining popularity in the knowledge discovery field for effectively navigating, browsing and organizing large amounts of textual information into a small number of meaningful clusters. Text mining is a semi-automated process of extracting knowledge from voluminous unstructured data. A widely studied data mining problem in the text domain is clustering. Clustering is an unsupervised learning method that aims to find groups of similar objects in the data with respect to some predefined criterion. In this work we propose a variant method for finding initial centroids. The initial centroids are chosen by using farthest neighbors. For the partitioning based clustering algorithms traditionally the initial centroids are chosen randomly but in the proposed method the initial centroids are chosen by using farthest neighbors. The accuracy of the clusters and efficiency of the partition based clustering algorithms depend on the initial centroids chosen. In the experiment, kmeans algorithm is applied and the initial centroids for kmeans are chosen by using farthest neighbors. Our experimental results shows the accuracy of the clusters and efficiency of the kmeans algorithm is improved compared to the traditional way of choosing initial centroids.
Presentation of research paper 'Study of some data mining classification techniques'(International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395 -0056 p-ISSN: 2395-0072 Volume: 04 Issue: 04 | Apr -2017) for a academic purpose during post graduation. in this study i describe some data mining classification techniques such as ANN, SVM,decision tree with example.
Whether your looking to redesign your existing WooCommerce site, develop a new e-commerce store with WooCommerce, or need our WordPress migration services, Thrive Internet Marketing can help. Contact the experience WooCommerce developers in Dallas.
Today, the e-commerce companies develop rapidly and compete intensely, and the selection of e-commerce companies’ logistics operation mode plays an important role in maintaining core competitiveness. The article describes the VANCL departure, introducing changes in the logistics business model VANCL company in the development process, and then summarize VANCL mode selection
There are more people on Facebook than there are Catholics. This is what the world's biggest social platform is going to do next. This deck was presented by Furthr's Andy Pemberton at a talk at Denstu Aegis Network, London on April 25 2016.
Episode 55 : Conceptual Process Synthesis-Design
Process Flowsheet Synthesis: Method to determine a process flowsheet that satisfies all product, operational and other requirements
SAJJAD KHUDHUR ABBAS
Ceo , Founder & Head of SHacademy
Chemical Engineering , Al-Muthanna University, Iraq
Oil & Gas Safety and Health Professional – OSHACADEMY
Trainer of Trainers (TOT) - Canadian Center of Human
Development
ONTOLOGY VISUALIZATION PROTÉGÉ TOOLS – A REVIEWijait
Protégé is one of the most popular tools of the ontology visualization. The “Protégé” tools are being applied for further development in various disciplines for better understanding of knowledge. These tools commonly use four methods of ontology visualization, namely, indented list, node-link and tree, zoomable, and focus+context. The purpose of this work is to present a study on application of these four methods in the development of different kinds of protégé visualization tools and categorize their characteristics and features so that it assists in method selection and promotes further future research in the area of ontology visualization.
ONTOLOGY VISUALIZATION PROTÉGÉ TOOLS – A REVIEW ijait
Protégé is one of the most popular tools of the ontology visualization. The “Protégé” tools are being applied for further development in various disciplines for better understanding of knowledge. These tools commonly use four methods of ontology visualization, namely, indented list, node-link and tree,
zoomable, and focus+context. The purpose of this work is to present a study on application of these four methods in the development of different kinds of protégé visualization tools and categorize their characteristics and features so that it assists in method selection and promotes further future research in
the area of ontology visualization.
A Survey of Object Oriented Programming LanguagesMaya Hris.docxdaniahendric
A Survey of Object Oriented Programming Languages
Maya Hristakeva, RadhaKrishna Vuppala
Univ. of California, Santa Cruz
{mayah,vrk}@soe.ucsc.edu
1 Abstract
Object-oriented programming has become a very important programming paradigm of our times.
From the time it was brought into existence by Simula, object-oriented programming has seen wide
acceptance. Object-oriented programming languages (OOPLs) directly support the object notions of
classes, inheritance, information hiding (encapsulation), and dynamic binding (polymorphism). There
is a wide variety of implementations for each of these concepts, and there is no general agreement as to
how a particular concept must be interpreted. This survey takes a detailed look at some of the concepts
considered fundamental to object-orientation, namely inheritance and polymorphism. Different aspects
of inheritance and polymorphism are implemented in various popular OOPLs. We conclude with the
observation that there is still lot of work to be done to reach a common ground for these crucial features
of OOPLs. This survey presents a detailed comparison of Java, C++, C# , Eiffel, Smalltalk, Ruby and
Python in terms of their inheritance and polymorphism implementations. The paper also presents a
compilation of the observations made by several earlier surveys [1, 27].
2 Introduction
There is a big variety of programming languages catering to various kinds of development require-
ments. Three of the main categories are procedural languages (e.g. C, Pascal, etc.), functional languages
(e.g. Haskel, Ocaml, etc.), and object-oriented programming languages (e.g. C++, Java, etc.). The
object-oriented design paradigm has been popular for quite some time owing its success to the powerful
features it offers for making program development easy and robust. OOPLs, such as C++ and Java,
offer an intuitive way of developing programs and provide powerful features for supporting the program
development. While languages like C can be used to develop programs that follow an object-oriented
design, the support of features such as inheritance, encapsulation, strong type support, exception han-
dling, etc. in the OOPLs make them more suitable for such development.
While the object-oriented programming paradigm provides a more intuitive way of programming, it
is also has complexities. This is due to the various complex features that the paradigm offers. OOPLs
differ widely in the way they implement features that are associated with the object design. For example,
some languages support multiple inheritance while some languages consider it a bad feature. In this sur-
vey we discuss the various features of object-oriented programs and how the languages we considered
1
(Java, C++, C# , Eiffel, Smalltalk, Ruby and Python) differ in implementing these features.
The survey is organized as follows. The Section 3 describes in detail the key concepts of OOPLs. Sec-
tion 4 presents a brief historical view of the OOPLs and gives a ...
Data Structure Interview Questions & AnswersSatyam Jaiswal
Practice Best Data Structure Interview Questions & Answers for the best preparation of the Data Structure Interview. These Interview Questions are very popular and asked various times to Data Structure Interveiw.
we will learn about basics of OOPs. Object Oriented Programming is a paradigm that provides many concepts such as inheritance, data binding, polymorphism etc.
Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...Globus
The U.S. Geological Survey (USGS) has made substantial investments in meeting evolving scientific, technical, and policy driven demands on storing, managing, and delivering data. As these demands continue to grow in complexity and scale, the USGS must continue to explore innovative solutions to improve its management, curation, sharing, delivering, and preservation approaches for large-scale research data. Supporting these needs, the USGS has partnered with the University of Chicago-Globus to research and develop advanced repository components and workflows leveraging its current investment in Globus. The primary outcome of this partnership includes the development of a prototype enterprise repository, driven by USGS Data Release requirements, through exploration and implementation of the entire suite of the Globus platform offerings, including Globus Flow, Globus Auth, Globus Transfer, and Globus Search. This presentation will provide insights into this research partnership, introduce the unique requirements and challenges being addressed and provide relevant project progress.
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.
First Steps with Globus Compute Multi-User EndpointsGlobus
In this presentation we will share our experiences around getting started with the Globus Compute multi-user endpoint. Working with the Pharmacology group at the University of Auckland, we have previously written an application using Globus Compute that can offload computationally expensive steps in the researcher's workflows, which they wish to manage from their familiar Windows environments, onto the NeSI (New Zealand eScience Infrastructure) cluster. Some of the challenges we have encountered were that each researcher had to set up and manage their own single-user globus compute endpoint and that the workloads had varying resource requirements (CPUs, memory and wall time) between different runs. We hope that the multi-user endpoint will help to address these challenges and share an update on our progress here.
How Recreation Management Software Can Streamline Your Operations.pptxwottaspaceseo
Recreation management software streamlines operations by automating key tasks such as scheduling, registration, and payment processing, reducing manual workload and errors. It provides centralized management of facilities, classes, and events, ensuring efficient resource allocation and facility usage. The software offers user-friendly online portals for easy access to bookings and program information, enhancing customer experience. Real-time reporting and data analytics deliver insights into attendance and preferences, aiding in strategic decision-making. Additionally, effective communication tools keep participants and staff informed with timely updates. Overall, recreation management software enhances efficiency, improves service delivery, and boosts customer satisfaction.
In software engineering, the right architecture is essential for robust, scalable platforms. Wix has undergone a pivotal shift from event sourcing to a CRUD-based model for its microservices. This talk will chart the course of this pivotal journey.
Event sourcing, which records state changes as immutable events, provided robust auditing and "time travel" debugging for Wix Stores' microservices. Despite its benefits, the complexity it introduced in state management slowed development. Wix responded by adopting a simpler, unified CRUD model. This talk will explore the challenges of event sourcing and the advantages of Wix's new "CRUD on steroids" approach, which streamlines API integration and domain event management while preserving data integrity and system resilience.
Participants will gain valuable insights into Wix's strategies for ensuring atomicity in database updates and event production, as well as caching, materialization, and performance optimization techniques within a distributed system.
Join us to discover how Wix has mastered the art of balancing simplicity and extensibility, and learn how the re-adoption of the modest CRUD has turbocharged their development velocity, resilience, and scalability in a high-growth environment.
Cyaniclab : Software Development Agency Portfolio.pdfCyanic lab
CyanicLab, an offshore custom software development company based in Sweden,India, Finland, is your go-to partner for startup development and innovative web design solutions. Our expert team specializes in crafting cutting-edge software tailored to meet the unique needs of startups and established enterprises alike. From conceptualization to execution, we offer comprehensive services including web and mobile app development, UI/UX design, and ongoing software maintenance. Ready to elevate your business? Contact CyanicLab today and let us propel your vision to success with our top-notch IT solutions.
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/
Field Employee Tracking System| MiTrack App| Best Employee Tracking Solution|...informapgpstrackings
Keep tabs on your field staff effortlessly with Informap Technology Centre LLC. Real-time tracking, task assignment, and smart features for efficient management. Request a live demo today!
For more details, visit us : https://informapuae.com/field-staff-tracking/
Accelerate Enterprise Software Engineering with PlatformlessWSO2
Key takeaways:
Challenges of building platforms and the benefits of platformless.
Key principles of platformless, including API-first, cloud-native middleware, platform engineering, and developer experience.
How Choreo enables the platformless experience.
How key concepts like application architecture, domain-driven design, zero trust, and cell-based architecture are inherently a part of Choreo.
Demo of an end-to-end app built and deployed on Choreo.
SOCRadar Research Team: Latest Activities of IntelBrokerSOCRadar
The European Union Agency for Law Enforcement Cooperation (Europol) has suffered an alleged data breach after a notorious threat actor claimed to have exfiltrated data from its systems. Infamous data leaker IntelBroker posted on the even more infamous BreachForums hacking forum, saying that Europol suffered a data breach this month.
The alleged breach affected Europol agencies CCSE, EC3, Europol Platform for Experts, Law Enforcement Forum, and SIRIUS. Infiltration of these entities can disrupt ongoing investigations and compromise sensitive intelligence shared among international law enforcement agencies.
However, this is neither the first nor the last activity of IntekBroker. We have compiled for you what happened in the last few days. To track such hacker activities on dark web sources like hacker forums, private Telegram channels, and other hidden platforms where cyber threats often originate, you can check SOCRadar’s Dark Web News.
Stay Informed on Threat Actors’ Activity on the Dark Web with SOCRadar!
Experience our free, in-depth three-part Tendenci Platform Corporate Membership Management workshop series! In Session 1 on May 14th, 2024, we began with an Introduction and Setup, mastering the configuration of your Corporate Membership Module settings to establish membership types, applications, and more. Then, on May 16th, 2024, in Session 2, we focused on binding individual members to a Corporate Membership and Corporate Reps, teaching you how to add individual members and assign Corporate Representatives to manage dues, renewals, and associated members. Finally, on May 28th, 2024, in Session 3, we covered questions and concerns, addressing any queries or issues you may have.
For more Tendenci AMS events, check out www.tendenci.com/events
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...Globus
The Earth System Grid Federation (ESGF) is a global network of data servers that archives and distributes the planet’s largest collection of Earth system model output for thousands of climate and environmental scientists worldwide. Many of these petabyte-scale data archives are located in proximity to large high-performance computing (HPC) or cloud computing resources, but the primary workflow for data users consists of transferring data, and applying computations on a different system. As a part of the ESGF 2.0 US project (funded by the United States Department of Energy Office of Science), we developed pre-defined data workflows, which can be run on-demand, capable of applying many data reduction and data analysis to the large ESGF data archives, transferring only the resultant analysis (ex. visualizations, smaller data files). In this talk, we will showcase a few of these workflows, highlighting how Globus Flows can be used for petabyte-scale climate analysis.
Understanding Globus Data Transfers with NetSageGlobus
NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?
Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...Globus
Large Language Models (LLMs) are currently the center of attention in the tech world, particularly for their potential to advance research. In this presentation, we'll explore a straightforward and effective method for quickly initiating inference runs on supercomputers using the vLLM tool with Globus Compute, specifically on the Polaris system at ALCF. We'll begin by briefly discussing the popularity and applications of LLMs in various fields. Following this, we will introduce the vLLM tool, and explain how it integrates with Globus Compute to efficiently manage LLM operations on Polaris. Attendees will learn the practical aspects of setting up and remotely triggering LLMs from local machines, focusing on ease of use and efficiency. This talk is ideal for researchers and practitioners looking to leverage the power of LLMs in their work, offering a clear guide to harnessing supercomputing resources for quick and effective LLM inference.
top nidhi software solution freedownloadvrstrong314
This presentation emphasizes the importance of data security and legal compliance for Nidhi companies in India. It highlights how online Nidhi software solutions, like Vector Nidhi Software, offer advanced features tailored to these needs. Key aspects include encryption, access controls, and audit trails to ensure data security. The software complies with regulatory guidelines from the MCA and RBI and adheres to Nidhi Rules, 2014. With customizable, user-friendly interfaces and real-time features, these Nidhi software solutions enhance efficiency, support growth, and provide exceptional member services. The presentation concludes with contact information for further inquiries.
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.
Developing Distributed High-performance Computing Capabilities of an Open Sci...Globus
COVID-19 had an unprecedented impact on scientific collaboration. The pandemic and its broad response from the scientific community has forged new relationships among public health practitioners, mathematical modelers, and scientific computing specialists, while revealing critical gaps in exploiting advanced computing systems to support urgent decision making. Informed by our team’s work in applying high-performance computing in support of public health decision makers during the COVID-19 pandemic, we present how Globus technologies are enabling the development of an open science platform for robust epidemic analysis, with the goal of collaborative, secure, distributed, on-demand, and fast time-to-solution analyses to support public health.