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Emerging VLSI Technologies for High performance AI and ML Applications 2

Emerging VLSI Technologies for High performance AI and ML Ap...

引用

2nd international conference on Advancements in Smart, Secure and Intelligent computing, ASSIC 2024

作者： Nagar, Prashray Boruah, Sashwat Bhoi, Akash Kumar Patel, Arpita Sarda, Jigar Darjij, Pallavi Charotar University of Science and Technology V T Patel Department of Electronics & Communication Engineering India Sikkim Manipal University Research Gangtok India Charotar University of Science and Technology M & v Patel Department of Electrical Engineering India Dharamsinh Desai Univeristy Department of Electronics & Communication Engineering Nadiad India

ISBN: (纸本)9798350370188

The capabilities of artificial intelligence (AI) and machine learning (ML) algorithms are constantly expanding, necessitating efficient and high-performance hardware systems. We have investigated the creation of hardware accelerators based on VLSI that are intended to effectively manage the heavy workloads of machine learning jobs, also explored low-power VLSI architectures that preserve computing capabilities while reducing power consumption to solve energy efficiency issues in AI and ML systems. To balance performance and energy utilization, power management strategies and circuit design improvements are analysed. The study emphasizes hardware-software co-design techniques, considering the integration of VLSI-based hardware accelerators with software frameworks to obtain optimal performance and flexibility, to address the complexity and scalability of AI and ML systems. We also examined the cutting-edge VLSI technologies that have the potential to support powerful AI and ML applications. The speed and effectiveness of AI and ML algorithms could be improved significantly by these technologies, which include neuromorphic computing, approximation computing, and in-memory computing. The research also discusses the difficulties in designing VLSI for AI and ML algorithms, and its possible solutions for challenges including design complexity, scalability, memory management, and data mobility. © 2024 IEEE.

关键词： Energy efficiency

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A Novel Predictive Approach to Content Popularity-Aware Edge Caching in VEC 2

A Novel Predictive Approach to Content Popularity-Aware Edge...

引用

2nd IEEE international conference on software Services engineering (SSE)

作者： Zuo, YiYuan Xia, Yunni Yang, Ruilong Wang, Xu Zhong, Xingli Xia, Qing Sun, Xiaoning Feng, Jiafeng Chongqing Univ Coll Comp Sci Chongqing Peoples R China Chongqing Univ Coll Mech & Vehicle Engn Chongqing Peoples R China CISDI Grp Co Ltd Chongqing Peoples R China Chongqing Key Lab Reliabil Technol Intelligent El Chongqing Peoples R China Chongqing Normal Univ Sch Comp & Informat Sci Yunnan Key Lab Serv Comp Chongqing Peoples R China Yunnan Univ Finance & Econ Kunming Yunnan Peoples R China China Huadian Corp Guangdong Branch Jinan Guangdong Peoples R China

ISBN: (纸本)9798350368529;9798350368512

Mobile edge computing is an emerging computing paradigm boosting resource-demanding and delay-sensitive applications through deploying computing infrastructures at the edge of the Internet nearby mobile requesters and users. In an Internet of Vehicles (IoV) environment, Vehicular Edge computing (VEC) is capable of exploiting network edge devices, in terms of, e.g., Roadside Units (RSUs), for predictive content caching for optimizing quality-of-experience (QoE) of nearby content requesters based on content popularity analysis, it remains a great challenge to accurately predict content popularity of mobile requesters and appropriately cache required content with low miss rate accordingly in a VEC environment with high user mobility and dynamics. To address this challenge mentioned above, in this paper, we propose predictive content popularity-aware approach, i.e., KM_SVD++, to edge caching in an VEC environment. The proposed approach is capable of achieving high hit rate of mobile content requestors in VEC and low latency of content delivery by leveraging a Kalman filtering model for predicting locations of vehicles and a SVD++ one for yielding decisions for cache deployment and replacement. We conduct extensive simulations as well to prove its effectiveness.

关键词： On-Board Edge computing Edge Cache Kalman Filter SVD plus

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A Proposed Multifaceted Approach for IoT Data Integration in Education Sector for Dissimilar Network

A Proposed Multifaceted Approach for IoT Data Integration in...

引用

2024 international conference on Emerging Innovations and Advanced computing, INNOCOMP 2024

作者： Chawla, Simmi Tomar, Parul Gambhir, Sapna JCBUST Department of Computer Engineering YMCA Faridabad India

ISBN: (纸本)9798350376470

In this heterogeneous scenario, there are multiple sources of multimedia due to the diversity of IoT platforms. The Effective data integration is severely hampered by the growth of multimedia data produced by a wide range of Internet of Things (IoT) devices in heterogeneous contexts. To tackle this problem, a novel approach is designed. This is a complete approach to the smooth integration of multimedia data into the Internet of Things environment by utilizing adaptive processing, semantic data modeling, and effective data fusion. The method is reliable, scalable, and flexible enough to handle a wide range of data kinds, such as sensor readings, photos, audio, and videos [1]. The major challenges are associated with heterogeneous environments in the education sector are: 1) Data is completely in unstructured manner 2) Mapping various streaming data sets from various sources to a single, common schema 3) The problem of Real time data collection, representations and visualization of large datasets during data streaming in the IoT Ecosystem[11]. The goal of this proposed multifaceted approach is to maximize resource utilization, improve educational outcomes, and offer individualized learning experiences by utilizing IoT technologies [2]. A Unified schema is designed in context to perform mapping among different heterogeneous entities. By providing a comprehensive framework and critical analysis for integrating IoT data across dissimilar networks, it seeks to unlock new opportunities for personalized learning, operational efficiency, and data-driven decision-making in the education sector. © 2024 IEEE.

关键词： Data assimilation

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Artificial Intelligence For Realtime Face Recognition Attendance Using College Classrooms and Buses

Artificial Intelligence For Realtime Face Recognition Attend...

引用

2024 international conference on Electrical, Electronics and computing Technologies, ICEECT 2024

作者： Ahila, A. Hosanna Princye, P. Poonguzhali, A. Kavivendhan Deepa, M. Arthy, A. Saravanakumar, R. Sri Sairam College of Engineering Department of Electronics and Communication Engineering Anekal Bangalore India Francis Xavier Engineering College Department of Computer Science and Business Systems Tamil Nadu Tirunelveli India Iconix Software Solution Software Analyst Tamil Nadu Tirunelveli India

ISBN: (纸本)9798350378092

Teachers take attendance by having pupils sign in or check-in classes and transportation. Student absences often result from individual mistakes. This article examines a technology that records data from classroom photographs of every student's face. This research uses an Adaptive Boost Classifier, Random Forest (RF), and Deep Convolutional Neural Networks (DCNNs). The model performs well on the DCNN model with 88 and 92% accuracy and on the ResNet50 pre-trained model with 97.21% accuracy. After detecting each student's face, they recorded their present status in an Excel document. It kept the best system implementation approach based on performance. © 2024 IEEE.

关键词： Convolutional neural networks

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SDN-based Optimized Controller Deployment Strategy for Satellite Network 12

SDN-based Optimized Controller Deployment Strategy for Satel...

引用

12th international conference on Intelligent computing and Wireless Optical Communications (ICWOC)

作者： Liu, Haiyun Zhang, Tao Shi, Dingyuan Beihang Univ Beijing Peoples R China China Acad Launch Vehicle Technol Beijing Peoples R China

ISBN: (纸本)9798350374377

In software-Defined Networking (SDN), the positioning of controllers and the division of switches determine the upper limit of the network's responsiveness to network events. However, highly dynamic satellite networks pose a significant challenge to the controller placement problem. The difficulty is to achieve efficient control over a long period of time with low overhead. Existing methods mostly perform computations independently and greedily in each time slot, leading to frequent changes in the controller placement and the control relationships between controllers and switches. In this paper, we present a comprehensive model to measure the control plane overhead. By defining migration overhead and anticipated overhead to ensure the continuity of control strategies, we formulate the controller placement problem in software-Defined Low Earth Orbit (LEO) satellite networks as an optimization problem. To tackle this issue, we draw inspiration from hierarchical clustering techniques and introduce a heuristic algorithm named Hierarchical Clustering-based Minimizing Overhead Algorithm (HCMOA). Evaluations of our simulation system show that HCMOA significantly outperforms relevant approaches in terms of control overhead and average response latency.

关键词： software Defined Network hierarchical control LEO satellite network Controller placement

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Acceleration of the Precise Integration Method for Initial Value Problems Based on ACAP 3

Acceleration of the Precise Integration Method for Initial V...

引用

3rd international conference on Cloud computing, Big Data Application and software engineering, CBASE 2024

作者： Zhao, Yingchen Wang, Jixiao Zhang, Sheng Zhang, Weisheng Dalian University of Technology State Key Laboratory of Structural Analysis for Industrial Equipment Dalian China Center for Nuclear Engineering Mechanics China Nuclear Power Engineering Co. Ltd Beijing China School of Mechanics and Aerospace Engineering Dalian University of Technology Dalian China

ISBN: (纸本)9798331506582

This paper investigates the numerical implementation of solving initial value problems (IVPs) using the Precise Integration Method (PIM). For the solution of IVPs, PIM employs a recursive calculation based on matrix exponentiation, effectively avoiding the error accumulation often encountered in conventional numerical methods. The study focuses on the implementation of this method on a CPU, as well as its hardware-accelerated implementation on an Adaptive Compute Acceleration Platform (ACAP). By leveraging the powerful parallel processing capabilities of ACAP programmable logic (PL) and AI engines (AIE), the efficiency of complex numerical computations is significantly improved. Compared to traditional CPU platforms, ACAP demonstrates superior performance in large-scale computational tasks. © 2024 IEEE.

关键词： Parallel processing systems

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Electronic Service Quality and Information Quality on Online Customer Satisfaction: A Study of Legal Woods 9

Electronic Service Quality and Information Quality on Online...

引用

9th IEEE international conference on computing, engineering and Design, ICCED 2023

作者： Wulan, Novie Lilisia Sekar Fernando, Yudi Wahyuni-Td, Ika Sari Ikhsan, Ridho Bramulya Fernando, Erick Prabowo, Hartiwi BINUS Online Learning Bina Nusantara University Management Department Jakarta Indonesia Universitas Andalas Faculty of Economics Accounting Department Padang Indonesia Universitas Multimedia Nusantara Faculty of Engineering and Informatics Department of Information System Tangerang Indonesia

ISBN: (纸本)9798350370126

This analysis aims to determine the influence of information quality, electronic service quality, online customer satisfaction and usefulness on online green legal wood purchasing behaviour. The descriptive quantitative method was used in this research. We have utilised SmartPLS 3.0 software. Accidental sampling with 156 respondents was used in this research. Data were obtained with the results of questionnaires with consumers using web-commerce ***. This research found that e-service quality significantly and positively impacts usefulness. The quality of e-service also significantly and positively affects online customer satisfaction. We found a positive and significant impact on usefulness with the information quality variable. Information quality positively and significantly impacts online customer satisfaction usefulness impacts online customer satisfaction. The input from the results of this research can be helpful for the management of *** to find out what factors significantly impact customer satisfaction on the *** web-commerce. © 2023 IEEE.

关键词： Customer satisfaction

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Super-resolution Reconstruction for Infrared Images of Power Transmission Lines with N-Gram Transformer 3

Super-resolution Reconstruction for Infrared Images of Power...

引用

3rd international conference on Cloud computing, Big Data Application and software engineering, CBASE 2024

作者： Zheng, Zhihao Rao, Chengcheng Lin, Junsheng Yuan, Chao CSG Guangdong Power Grid Corporation China College of Electrical and Information Engineering Hunan University China

ISBN: (纸本)9798331506582

In recent years, infrared imaging techniques have been applied to monitor transmission lines to ensure safety, but the images obtained are usually of low resolution. To solve this problem, we propose the NTSR model and introduce the Transformer framework, which can effectively extract global dependencies and obtain higher quality reconstruction results. The local self-attention mechanism is also used to calculate the self-attention of each window. However, it is prone to distortion when facing severely corrupted regions. Therefore we introduce N-Gram, using forward and backward N-Gram, which can help the model to better aggregate neighbourhood features and generate clearer images. Experimental results on real transmission line infrared images show that the proposed method achieves significant improvements compared to other methods, and generates images with better perceptibility and clarity. © 2024 IEEE.

关键词： Power transmission lines

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Enhancing Data Security and Privacy in Cloud computing: A Survey of Modern Techniques 3

Enhancing Data Security and Privacy in Cloud Computing: A Su...

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3rd international conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2025

作者： Suganya, N. Gouthami, P. Sathiya, R. Sivaranjani, S. Murugesan, M. Department of Computer Science and Business Systems Dr. N.G.P. Institute of Technology Coimbatore India Department of Information Technology Thangavelu Engineering College Chennai India Departement of Electrical and Electronics Engineering Sri Krishna College of Engineering and Technology Coimbatore India Departement of Electrical and Electronics Engineering Karpagam Institute of Technology Coimbatore India

ISBN: (纸本)9798331527549

A computing system that is based on the internet and offers users all resources as on-demand services. Servers, storage, databases, software, and networking are among these on-demand services. Usually, the user must pay for the use of the resources;they are not their property. The number of people using this technology is increasing dramatically as a result of these features. Although it has benefits, cloud computing poses certain security and privacy risks. The authorized user’s data can be stolen easily. This current research thoroughly investigates modern strategies to these problems, highlighting identity management protocols, effective encryption and blockchain-based solutions. The article identifies research gaps, focuses attention to the inadequacies of current approaches, and recommends the possible ways to improve the efficiency, scalability and trustworthiness. © 2025 IEEE.

关键词： Cloud security

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Development and Implementation of an Interoperable and Flexible Supervisory software for a Power Electric System in a Smart Grid 31

Development and Implementation of an Interoperable and Flexi...

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31st IEEE international conference on Electronics, Electrical engineering and computing, INTERCON 2024

作者： Velasquez-Viteri, Luis Aranda-Egusquiza, Sergio Universidad de Ingenieria y Tecnologia - UTEC Electronic Engineering Department Lima Peru

ISBN: (纸本)9798350378344

Automation solutions oriented towards power electrical systems (PES) in a smart grid predominantly employ a single brand. This causes difficulties when integrating new equipment. Additionally, monitoring is often tedious, leading to data misinterpretation and delays in preventive actions. This project presents a smart grid through the connection of 3 power generation stations and a consumption station to an Orion LX centralizer and a supervisory computer. Siemens Power Meters and Lucas Nulle collector bars are used. The equipment communicates via the Modbus TCPIIP protocol, and Lab View is used for the development of the supervisory software. © 2024 IEEE.

关键词： Power grids

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