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A Reversible Gate to Simplify Sequential Circuit Design in Quantum-dot Cellular Automata 15

A Reversible Gate to Simplify Sequential Circuit Design in Q...

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15th international conference on Advances in computing, control, and Telecommunication Technologies, ACT 2024

作者： Sushma, M. Hegde, Sudeep K. Bharadwaj, Suhas Bhowmick, Kaustav Department of Electronics and Communication PES University Bengaluru India

ISBN: (纸本)9798331300579

This paper proposes a new reversible gate to simplify the design of sequential circuits by allowing for the design of both D and T latches using a single reversible gate with minimal changes. The D and T latches have also been designed and tested. The power dissipation analyses of the proposed gate shows notable improvements, of at least 10.05% while the area required is 6.52% lesser. The D latch designed requires lesser area and power compared to existing designs. Since both D and T latches can be designed using the same gate, reversibility can be easily maintained in larger circuits. © Grenze Scientific Society, 2024.

关键词： Semiconductor quantum dots

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Reliable Distributed Fuzzy control for Leader-Following Consensus of Nonlinear Multi-gent Systems with Time-varying communication Delays 22

Reliable Distributed Fuzzy Control for Leader-Following Cons...

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22nd international conference on control, automation and Systems (ICCAS)

作者： Jang, Yong Hoon Kim, Han Sol Yonsei Univ Sch Elect & Elect Engn Seoul 03722 South Korea Natl Korea Maritime & Ocean Univ Dept Control & Instrumentat Engn Busan 49112 South Korea

ISBN: (纸本)9788993215243

In this paper, a leader-following consensus problem of nonlinear multi-agent systems (MASs) with external disturbances and time-varying communication delays is addressed by proposing distributed fuzzy control technique. Unlike previous studies, a novel reliable control technique for nonlinear MASs that does not need to delay each agent's own state value required for feedback is proposed. To represent the nonlinear MAS, Takagi-Sugeno (T-S) fuzzy model is employed, and the stabilization conditions are derived in terms of linear matrix inequalities (LMIs) to ensure robust stability and H-infinity performance. Finally, the validity of the proposed method is verified through the simulation example.

关键词： Nonlinear multi-agent systems consensus problem time-varying communication delays Takagi-Sugen (T-S) fuzzy model

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Analysis of Student-Problems While Working with Physical computing Devices 16

Analysis of Student-Problems While Working with Physical Com...

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16th international conference on Computer Supported Education, CSEDU 2024

作者： Schätz, Eric Hellmig, Lutz Martens, Alke Institute of Computer Science University of Rostock Albert-Einstein-Straße 22 Rostock18059 Germany

ISBN: (纸本)9789897586972

During physical computing events, we have offered to school-students, we have observed different problems students struggle with while working with sensors and actuators of physical computing devices. Whereas some problems have been caused by simple programming errors, some of them were not explainable just by the code. In those cases, programs worked correctly in simulations but not on the real device. In this paper looked at different error origins in context of working with physical computing devices. For further analysis, proposed a model of different stadiums, data passes while a task or problem is solved with a physical computing application. Using this model, located observed issues in order to identify wrong assumptions, made by students. Copyright © 2024 by SCITEPRESS – Science and Technology Publications, Lda.

关键词： Students

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Model based Design for the Speed control of Permamnent Magnet Synchronous Machines 3

Model based Design for the Speed Control of Permamnent Magne...

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3rd international conference on automation, computing and Renewable Systems, ICACRS 2024

作者： Sivakumar, P. Angamuthu, A. Sriram, K. Krishna, K. Bharath Subiksha, T. Venugopal, E. Department of EEE PSG college of Technology Coimbatore India

ISBN: (纸本)9798331532420

As the adoption of electric vehicles surges, the safety of the energy storage systems within these vehicles is of paramount concern. Lithium-ion battery technology, while efficient, is susceptible to thermal runaway under certain conditions, posing serious safety hazards. This research project aims to address this issue by developing and implementing an advanced safety analysis and risk assessment framework. The core strategy involves the integration of Field-Oriented control (FOC) with a Digital Motor control (DMC) kit to manage the electrical and thermal characteristics of EV batteries. Our research combines computer simulation in MATLAB with real-world hardware validation using the Texas Instruments DRV8312 motor control kit. This unique approach offers a comprehensive evaluation of the battery management system. In the simulation phase, we model EV battery systems to simulate various operating conditions and assess potential risks. The FOC control algorithm is fine-tuned to optimize the performance and thermal stability of the battery. Simulations provide insights into how FOC can prevent thermal runaway and enhance battery safety. To validate our findings and ensure real-world applicability, we conduct hardware experiments using the DRV8312 kit, which is capable of precise motor control and monitoring. Through this hardware-in-the-loop testing, we implement FOC strategies on an actual EV battery setup and evaluate the system's performance under dynamic conditions. © 2024 IEEE.

关键词： control DMC FOC Monitoring Thermal runaway

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Network communication optimization of RCCL communication library in Multi-NIC systems 3

Network communication optimization of RCCL communication lib...

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3rd international conference on Algorithms, Microchips, and Network Applications, AMNA 2024

作者： He, Shuaiming Wan, Wei Li, Junhong School of Computer and Artificial Intelligence Zhengzhou University Henan Zhengzhou450001 China Co. Ltd. Beijing100193 China Tsinghua University Software School Beijing100084 China

ISBN: (纸本)9781510680098

With the widespread application of deep learning frameworks, large-scale computing and GPU programming are receiving increased attention. For upper-layer applications that utilize GPUs for computational communication, such as TensorFlow and PyTorch, improving the communication efficiency of the underlying communication library is of paramount importance to enhance the overall performance of the frameworks. Among them, the RCCL (Rocm Collective communication Library) GPU communication library, provided by the Rocm (Radeon Open Compute platform) computing platform, supports various collective communication operations and point-to-point operations. Through analysis, we have identified a problem in the initialization and usage of the ring channel network in the RCCL library, specifically in multi-network card systems. This issue results in certain network cards being unable to communicate, leading to wasted system resources. To address this problem, optimizations can be made at the code level by introducing data structures and algorithms to control the invocation of network cards. The goal is to adjust the usage strategy of multiple network cards in the ring channel network without modifying the original design concept of RCCL. After optimization, extensive evaluations were conducted using a large-scale GPU cluster. The optimized RCCL library achieved significant improvements in communication performance. Under a communication scale of 16 compute nodes and 64 GPUs, the peak bandwidth increased from 5.28GB/s to 7.78GB/s. In inter-node collective communication tests, the performance improvement reached up to 60%. The improved RCCL library provides better low-level communication performance for upper-layer applications on the Rocm computing platform, offering enhanced communication support. © 2024 SPIE.

关键词： Graphics processing unit

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Intelligent Integration of E-Ink Displays: Leveraging Electronics for Label automation and Enhanced User Experience 2

Intelligent Integration of E-Ink Displays: Leveraging Electr...

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2nd international conference on Sustainable computing and Smart Systems (ICSCSS)

作者： Saranya, E. Santhosh, E. M. Dhanusuya, K. Bhuvaneswaran, M. Dheeranraj, S. Sri Eshwar Coll Engn Dept CSBS Coimbatore Tamil Nadu India

ISBN: (数字)9798350379990

ISBN: (纸本)9798350391558;9798350379990

This research work introduces an innovative system for information display in various settings using e-ink displays. The proposed system aims to replace traditional paper based displays with electronic ink technology, offering numerous advantages including cost savings, environmental sustainability, real-time updates, and improved readability. By leveraging the flexibility and customization options of e-ink displays, the proposed system enables dynamic and interactive information dissemination. Implementation of the system spans across public transportation, healthcare facilities, retail, education, hospitality, museums, public spaces, corporate environments, and outdoor advertising. The integration of e-ink displays revolutionizes information display by providing instant updates, reducing printing costs and waste, and enhancing communication efficiency. The proposed systems contribute to more sustainable and user-friendly approach to information dissemination, offering improved accessibility, storage efficiency, durability, and integration with modern technologies. Overall, the idea presents a novel solution for replacing traditional paper-based displays with e-ink technology, revolutionizing the way information is displayed and communicated in various contexts.

关键词： Environment sustainability IoT E-ink display Real time update Waste Reduction Durability

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Augmentation of Emotional Intelligence - A Reservoir computing Driven, EEG-Based Analysis 4

Augmentation of Emotional Intelligence - A Reservoir Computi...

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4th international conference on Power, Energy, control and Transmission Systems, ICPECTS 2024

作者： Bommi, R.M. Uganya, G. Nalini, M. Naga Shivani, S. Gayathri, K. Chennai Institute of Technology Department of Electronics and Communication Engineering Kundrathur Chennai India Vel Tech Rangarajan Dr.Sagunthala R&d Institute of Science and Technology Department of Electronics and Communication Engineering Chennai India Sri Sairam Engineering College Department of Eie Chennai India

ISBN: (纸本)9798331508845

Emotion classification based on Electroencephalogram (EEG) signals hold significant potential for enhancing affective computing applications. This study aims to develop an effective emotion classification system utilizing EEG signals and our research addresses the need for robust methods capable of accurately capturing temporal aspects of EEG data to discern distinct emotional states. Leveraging the capabilities of GRU reservoir computing, we train and evaluate models to classify EEG signals into distinct emotional categories. After robust validation of the execution of the proposed methodology, we compare its performance with the baseline models through metrics such as accuracy, precision, recall, and F1-score. In enhancing its classification accuracy, the program had a success rate of 97 percent according to our study which supports this theory. 344 with which it performs the misalignment in capturing the challenges primarily related to the temporal characteristics and non-stationarity of EEG data. © 2024 IEEE.

关键词： EEG Emotion classification Gated Recurrent Units Hyper-parameter tuning Machine learning Reservoir computing

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Implementation and deployment of the integration of IoT devices in the development of GIS in the cloud platform

Implementation and deployment of the integration of IoT devi...

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international conference on Artificial Intelligence, Blockchain, computing and Security, ICABCS 2023

作者： Krishna Kumari, R. Gireesh, N. Bhavani, R. Sathish, K. Senthil, G.A. Praveena, S. Department of Mathematics Panimalar Engineering College Tamil Nadu Chennai India Department of Electronics and Communication Engineering School of Engineering Mohan Babu University Andhra Pradesh Tirupati India Institute of Computer Science and Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Tamil Nadu Chennai India Department of Computer Science and Engineering Madanapalle Institute of Technology and Science Andhra Pradesh Madanapalle India Department of Information Technology Agni College of Technology Tamil Nadu Chennai India Department of Electronics and Communication Engineering Mahatma Gandhi Institute of Technology Telangana Hyderabad India

ISBN: (纸本)9781032669663

The technological infrastructure provided by cloud providers, and used as a deployment platform, allows GIS to take advantage of its high storage and processing capacities;while the use of IoT devices allows the automation of the data collection process. However, the current implementations are carried out in an ad hoc manner, without providing solutions that facilitate their design, implementation and reuse. In this work, we propose a development approach that, based on models that describe at a high level of abstraction, both the system architecture and the interaction between its services and IoT devices, allows guiding the implementation and deployment activities in cloud environments. This has been illustrated with the design and implementation of a GIS application analyse the collected spatial data with air quality sensors and were deployed on the Google Cloud platform. © 2024, CRC Press/Balkema. All rights reserved.

关键词： Air quality

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Blockchain-Enabled Energy Trading in Microgrids for Sustainable computing Infrastructure 5

Blockchain-Enabled Energy Trading in Microgrids for Sustaina...

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5th international conference on Electronics and Sustainable communication Systems, ICESC 2024

作者： Kokila, M.L. Sworna Sunitha, R. Kalyanakumar, P. Raj, J. Relin Francis Krishnan, R. Santhana Gopikumar, S. School of Computing College of Engineering and Technology Srm Institute of Science and Technology Faculty of Engineering and Technology Department of Computing Technologies Chennai Kattankulathur India Rajarajeswari College of Engineering Department of Electronics and Communication Engineering Bangalore India Velammal College of Engineering and Technology Department of Information Technology Madurai India Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Department of Electronics and Communication Engineering Chennai India Scad College of Engineering and Technology Department of Electronics and Communication Engineering Cheranmahadevi India Vel Tech Rangarajan Dr Sagunthala R&d Institute of Science and Technology Department of Civil Engineering Chennai India

ISBN: (纸本)9798350379945

This research investigates Blockchain-enabled energy trading within microgrids to enhance sustainable computing infrastructure. A novel algorithm, GridCoin, is proposed and evaluated against existing methodologies including Optimal Power Flow (OPF), Microgrid Energy Management System (MEMS), and Hierarchical control Algorithms (HCA). The study employs simulation metrics such as Transaction Throughput, Energy Trading Efficiency, and Transaction Latency to compare the performance of these algorithms. GridCoin demonstrates superior capabilities in optimizing energy trading operations, achieving higher transaction throughput, improved efficiency in energy utilization, and reduced transaction latency. These results highlight the potential of Blockchain technology to revolutionize energy markets by providing secure, transparent, and decentralized transaction mechanisms. Future research directions include enhancing optimization techniques, integrating renewable energy sources, addressing scalability and security challenges, conducting real-world deployments, and analyzing economic and policy implications. This study contributes to advancing sustainable computing infrastructure through innovative Blockchain-based solutions. © 2024 IEEE.

关键词： Blockchain technology energy trading GridCoin algorithm microgrids optimization renewable energy integration sustainable computing

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Empowering India's Industry 4.0 Excellence: Pioneering Training Methodologies for WorldSkills Competition Preparation 3

Empowering India's Industry 4.0 Excellence: Pioneering Train...

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3rd international conference on Intelligent computing, communication and Convergence, ICI3C 2023

作者： Patra, Achirangshu Behera, Saubhagya Ranjan Das, Nitai Sunder C. V. Raman Global University Department of Electrical Engineering Odisha India Centre of Excellence C. V. Raman Global University Department of Industrial Automation Odisha India C. V. Raman Global University Department of Mechanical Engineering Odisha India

ISBN: (纸本)9798350343922

With India's opening out into the global market, there is now greater demand for producing products at competitive costs and lesser lead times. This has introduced a greater and greater degree of automation into our manufacturing industries as a means of cost reduction. In this context, acquiring expertise in Industry 4.0 is indispensable, since the transition from Industry 3.0 to 4.0 is now taking place at a faster rate. Developing skills in Industry 4.0 allows one to leverage automation, data analysis, and connectivity, ensuring competitiveness in a swiftly changing industrial environment. This paper delves into our approach to preparing the students for the WorldSkills Competition, a global platform showcasing industry-aligned skill excellence. We illustrate our meticulous strategy in motivating and training students, facilitating their journey from the initial stages to the international arena. Our methodology encompasses rigorous training, rigorous selection processes, and participation in regional and national skill competitions, culminating in the prestigious representation of India at WorldSkills 2022 Special Edition in Stuttgart, Germany. Team India excelled in the industry 4.0 Skill category, securing 648 out of 700 points. Their success was attributed to a well-structured training approach, proving vital for their performance on the global stage. This paper explores the training methods behind their triumph and offers insights for future competitors and educators. © 2023 IEEE.

关键词： Cost reduction

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