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Parallel Strand Sort using MPI and CUDA 15

Parallel Strand Sort using MPI and CUDA

引用

15th international conference on advances in computing, Control, and Telecommunication technologies, ACT 2024

作者： Chaithra, R. Krishnamoorthi, Sinchana Kini, N.Gopalakrishna Rao, Ashwath B. Department of Computer Science and Engineering Manipal Institute of Technology Manipal Academy of Higher Education Karnataka Manipal576 104 India

ISBN: (纸本)9798331300579

Sorting algorithms are fundamental tools in data *** has been a deep area for algorithmic researchers, and many resources have been invested in more work on sorting *** this purpose, many existing sorting algorithms have been reviewed for algorithmic complexity *** this paper, implementation of strand sort algorithm using a Message Passing Interface (MPI) and Compute Unified Device Architecture (CUDA) approach is carried *** proposed work is tested with a standard benchmark *** main idea of the proposed algorithm is to divide the elements of the input dataset into several additional temporary sub-lists to process in *** implemented algorithm using MPI and CUDA enhance the algorithm's *** average speedup obtained is 3.9187 using MPI and 19.9270 using CUDA respectively. © Grenze Scientific Society, 2024.

关键词： Sorting

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A User-Friendly Approach to Object Removal: CGANs and STTN for Enhanced Image and Video Editing 15

A User-Friendly Approach to Object Removal: CGANs and STTN f...

引用

15th international conference on advances in computing, Control, and Telecommunication technologies, ACT 2024

作者： Bailke, Preeti Naikwad, Aditya Pal, Aman Naik, Aryan Deshmukh, Bhairavi Bharambe, Tejas Vishwakarma Institute of Technology Pune India Department of Artificial Intelligence and Data Science Vishwakarma Institute of Technology Pune India

ISBN: (纸本)9798331300579

This research introduces an advanced object removal tool addressing the challenges in computer vision and image *** Generative Adversarial Networks (GANs) with Python, TensorFlow, and OpenCV, the tool utilizes conditional GANs for efficient learning of patterns and *** employing matched image sets comprising original images and corresponding object masks, the program generates realistic and aesthetically pleasing in-painted ***, a user-friendly web application is developed, allowing users to select input images and define specific regions for *** tool's versatility extends to video editing, incorporating a Spatial-Temporal Transformer Network (STTN) for seamless removal of objects in both spatial and temporal *** comprehensive solution enhances user engagement and expands the tool's applicability to eliminating unwanted elements from videos. © Grenze Scientific Society, 2024.

关键词： Computer vision

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Pre conceived Notions About Support From Incubation vis-à-vis Actual Services Rendered: An Analytical Research 15

Pre conceived Notions About Support From Incubation vis-à-v...

引用

15th international conference on advances in computing, Control, and Telecommunication technologies, ACT 2024

作者： Mani, Manisha Narwal, Karam Pal Haryana School of Business Guru Jambheshwar University of Science and Technology India

ISBN: (纸本)9798331300579

This study evaluates the effectiveness of business incubation in fostering entrepreneurship, particularly examining the discrepancies between perceived and actual services provided to agri-business units in India. data were collected from 30 incubation centers and 450 agri-business units, focusing on management and financial assistance. Results indicate that incubation centers rate their services highly, whereas agri-business units express lower satisfaction, especially regarding management assistance and financial assistance. T-test and ANOVA results reveal significant perception gaps. Recommendations include improving communication, implementing regular feedback mechanisms, enhancing service quality, and ensuring better access to funding. Addressing these gaps is essential for the growth and sustainability of agri-business ventures in India, aligning incubation services with the needs of agripreneurs. © Grenze Scientific Society, 2024.

关键词： Agribusiness

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Voice Feature based Detection of Parkinson's Disease using Machine Learning Approach 15

Voice Feature based Detection of Parkinson's Disease using M...

引用

15th international conference on advances in computing, Control, and Telecommunication technologies, ACT 2024

作者： Akram, Sk. Wasim Kumar, A.P. Siva Department of Computer Science and Engineering Jawaharlal Nehru Technological University Anantapur Andhra Pradesh Anantapuramu India

ISBN: (纸本)9798331300579

At present Parkinson's disease (PD) is the second largest neuro effected disease. Its symptoms resemble daily life activities, which are not identified by the patient. There is no solely technique or measures for detection and confirmation of PD in patients. In this study, it employs that machine learning algorithms plays a major role in identification of PD and in analysis of complex PD representing data types. KNN algorithm is used for this case study to contribute to the growing field of Voice-based analysis that incorporate key features like shimmer, Jitter, frequency to understand the evolution of PD symptoms. This paper presents a comprehensive calculated regression analysis of PD in affected patients. By this study and experimental results, the proposed methodology helps to effectively detect the PD and incorporate into health care for diagnosis purpose. © Grenze Scientific Society, 2024.

关键词： Regression analysis

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CourseQuest: A Zero-Knowledge Proof, Blockchain and OpenAI based Interactive Game to Assist Prospective Amrita University Students to Better Understand the Admission Process, Curriculum and Campus Culture 15

CourseQuest: A Zero-Knowledge Proof, Blockchain and OpenAI b...

引用

15th international conference on advances in computing, Control, and Telecommunication technologies, ACT 2024

作者： Kumari, Sandhya Binu, P.K. Department of Computer Science and Applications Amrita School of Computing Amrita Vishwa Vidyapeetham Amritapuri India

ISBN: (纸本)9798331300579

This paper introduces Course Quest, an innovative project devised for Amrita Vishwa Vidyapeetham, aimed at delivering comprehensive knowledge about varied courses and the admission process via an interactive game. Course Quest is developed using advanced web technologies like *** and ***, integrating functionalities like Quiz API, Blockchain, and Wallet Integration. The use of GPT API for dynamic question generation enhances the application's interactive appeal. The project also introduces a secure data storage mechanism and NFT minting process using Polygon zkEVM and ***, augmenting user engagement. For secure blockchain interactions, WalletConnect is used, and the robust development environment Hardhat is used for safe deployment and testing. This paper offers an in-depth exploration of Course Quest, its technological underpinnings, and its potential impact on prospective students' experience. The project blends cutting-edge technology into the realm of higher education, promising a secure, dynamic, and personalized user journey while setting new standards in educational technology applications. © Grenze Scientific Society, 2024.

关键词： Students

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Intelligent System for Detecting Spam Emails Using Machine Learning Classifiers 1

引用

international conference on advances in data science and computing technologies, asdc 2022

作者： Swain, Debabrata Chillur, Naresh Kava, Meet Bhilare, Amol Department of Computer Science and Engineering Pandit Deendayal Energy University Gujarat Gandhinagar382421 India Department of Computer Engineering Vishwakarma Institute of Technology Pune India

ISBN: (数字)9789819936564

ISBN: (纸本)9789819936557

The major issue with the email spam is a major issue nowadays, as Internet users grow rapidly. The attacker, or the spammer, mainly used it for phishing or to commit fraud by sending malicious links in spam emails that could harm our system. It is fair to say that, as email communication has increased in recent years in this Internet age, owing to its low cost and simplicity in use for messaging and sharing important information with others, spamming has become a significant problem, with email spam being the most widely recognized form of the problem. Spam emails have a financial impact on organizations, but they also irritate individual email users and frequently cause inconvenient behavior. In this paper, we have designed an intelligent system for the identification of spam or ham email via the use of several machine-learning algorithms. Various approaches were utilized in this research;however, according to the results of the experiment, the random forest algorithm exceeds all other algorithms with an accuracy of 98.5% when compared to all other algorithms. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Python

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Empirical Evaluation of Large Language Models in Resume Classification 4

Empirical Evaluation of Large Language Models in Resume Clas...

引用

4th international conference on advances in Electrical, computing, Communication and Sustainable technologies, ICAECT 2024

作者： Prasanna Kumar, R. Rithani, M. Bharathi Mohan, G. Venkatakrishnan, R. Amrita Vishwa Vidyapeetham Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9798350343670

The study's primary objective is to investigate the effectiveness of Large Language Models (LLMs) in the specialized field of resume classification, a critical aspect of talent acquisition and human resource management. The research aims to overcome the limitations of conventional approaches that often rely on basic Natural Language Processing (NLP) techniques by introducing a more efficient alternative through the utilization of LLMs. In pursuit of this goal, a comprehensive empirical assessment was undertaken, encompassing multiple LLMs, including various iterations of Text Davinci and GPT models. The research methodology employed was rigorous, incorporating data preprocessing and text normalization techniques to ensure the robustness and credibility of the results. The study's outcomes include a comparative analysis of the chosen LLMs, with a focus on essential performance metrics such as accuracy, precision, recall, and the F1-Score. The results obtained from this analysis demonstrate a significant enhancement in the performance of LLMs compared to traditional methods in the context of resume classification. In conclusion, this research provides invaluable insights into the applicability and effectiveness of LLMs within the realm of resume classification. It not only addresses existing limitations but also serves as a foundational work that paves the way for future research in this domain. Moreover, it underscores the transformative potential of LLMs in reshaping the landscape of talent acquisition and human resource management processes. © 2024 IEEE.

关键词： GPT Models Large Language Models Resume Classification Talent Acquisition Text Davinci

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Voting System using Blockchain 15

Voting System using Blockchain

引用

15th international conference on advances in computing, Control, and Telecommunication technologies, ACT 2024

作者： Turukmane, Anil V. Ganesh, Jetty Sai Sunkara, Keerthi School of Computer Science and Engineering VIT-AP University Andhra Pradesh Amaravati India

ISBN: (纸本)9798331300579

Even though electronic voting significantly decreased election costs and offered some convenience, it has been criticized for being unreliable when compared to the traditional pen and paper method because it is physically possible for someone with physical access to the system to change the results. A central system is also necessary to oversee the entire process, including electronic voting. Election results and tracking of those results. Given how easy it is to target votes, voters are not entirely safe. It also poses a severe danger to voting rights and transparency. This article offers a solution to the problems associated with traditional elections by utilizing blockchain technology, which has become a fascinating technology for various applications due to its distinct qualities that set it apart from other technologies. The aim of this project is to develop a decentralized electronic voting system that verifies voter identity through an honest and transparent voting process and protects voter privacy during data transfer using blockchain technology. © Grenze Scientific Society, 2024.

关键词： Blockchain

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Predicting Mental States: Machine Learning Techniques for Personalized Mental Health Support 15

Predicting Mental States: Machine Learning Techniques for Pe...

引用

15th international conference on advances in computing, Control, and Telecommunication technologies, ACT 2024

作者： Hepzibah, Grace Babu, Nirmal Varghese Division of Computer Science Engineering Karunya Institute of Technology and Science Karunya Nagar Tamil Nadu Coimbatore641114 India Division of Data Science and Cyber Security Karunya Institute of Technology and Science Karunya Nagar Tamil Nadu Coimbatore641114 India

ISBN: (纸本)9798331300579

As we know that individuals around the globe work difficult to keep up with this hustling world. In any case, due to this each person is managing with diverse wellbeing issues, one of the foremost known issue is sadness or stretch which may in the long run lead to passing or other brutal exercises. This project focuses on leveraging machine learning algorithms to predict psychological instability based on various attributes related to mental health. Developed as a web application using Django, users can upload datasets containing information such as age, gender, family history, and workplace environment. The data undergoes preprocessing, including handling missing values and label encoding. Subsequently, several classifiers including Decision Tree, Random Forest, SVC, MLP Classifier, KNeighbors Classifier, and Linear Discriminant Analysis are trained on the preprocessed data. Evaluation metrics such as accuracy, precision, recall, and F1-score are computed for each classifier. Users can also input personal data to obtain predictions about their psychological well-being. The system aims to offer insights into mental health conditions, enabling early detection and intervention. This project underscores the potential of machine learning in addressing mental health challenges through data-driven approaches. © Grenze Scientific Society, 2024.

关键词： Decision trees

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An Empirical Assessment of Botnets and Detection Methods 15

An Empirical Assessment of Botnets and Detection Methods

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15th international conference on advances in computing, Control, and Telecommunication technologies, ACT 2024

作者： Shivanna, D. Pooja, M.R. Department of Computer Science and Engineering Vidyavardhaka College of Engineering Mysuru India

ISBN: (纸本)9798331300579

a botnet is a group of devices which are controlled by the Attacker and used for fraud, scam and *** attacker is also known as *** Bots are used to conduct many activities varies from stealing user credentials, sending spam, stealing data, ransom ware, fraudulently clicking on ads or distributed denial-of-service (DDoS) *** traffic made up by bots is increasing day by day, now nearly a quarter of the whole *** them becomes an uphill task as the time *** developers are adopting new technologies at a rapid rate in an effort to avoid bot *** some bot problems are industry-specific, researchers found out that bot problems run across all *** top five industries which are targeted with bad bot traffic are the financial, education, IT & services industries, marketplaces, and *** assessment paper briefs the different botnet detection methods that exist at *** main aim of this paper is to give the insight knowledge of various bots and their implications on the present cyber world and also shedding some light on the current methods using to detect them... © Grenze Scientific Society, 2024.

关键词： Bot (Internet)

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