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Computing and Information technology (ICCIT-1441), 2020 International Conference on

作者： Arindom Chakraborty Uttam Kumar Saha Md. Shahbaz Hussain Upal Barua Joy M T Hasan Amin Jyoti Kandpal Department of Electrical and Electronic Engineering University of Science and Technology Chittagong Chattogram Bangladesh Department of Electrical and Computer Engineering North South University Dhaka Bangladesh Department of Electronic Engineering Aligarh Muslim University Aligarh India Department of Electrical and Computer Engineering University of Houston Houston Texas USA Department of Electronics and Communication Engineering Graphic Era Hill University Dehradun India

ISBN: (数字)9798350353839

ISBN: (纸本)9798350353846

Digital full adders are one of the major basic building blocks of modern high-performance arithmetic logic units due to which a wide range of full adder cells have been designed over the course of this. This research presents the design of a 1-bit full adder circuit in 16 nm FinFET process. Rather than using conventional CMOS logic, a hybrid logic style has been utilized. At first, a simultaneous XOR-XNOR signal generation circuit has been designed. Later, this XOR-XNOR circuit has been utilized as an input to sum and carry generation circuits. While simulating in 16 nm FinFET process with 0.8 V as supply, the design has a power dissipation of 1.29 μW and a worst-case delay of 12.23 ps. Also, performance analysis with different supply voltages has been conducted. The design presented in this research obtained better performance compared to the single logic Mirror CMOS full adder and several other state-of-the-art hybrid logic style based full adders.

关键词： FinFETs Delays Power dissipation Performance analysis Logic Transistors Mirrors Information technology Adders Arithmetic

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Recent advancement in β-Ga2O3 MOSFETs: From material growth to device architectures for high-power electronics

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Microelectronic Engineering 2025年 299卷

作者： Murugapandiyan, P. Fletcher, A.S. Augustine Hasan, Md. Tanvir Ramkumar, N. Revathy, A. Department of Electronics and Communication Engineering Anil Neerukonda Institute of Technology and Sciences Andhra Pradesh Visakhapatnam531 162 India Department of Electronics and Communication Engineering SRM Institute of Science and Technology Vadapalani Chennai600 026 India Department of Electrical and Electronic Engineering Jashore University of Science and Technology Jashore7408 Bangladesh Department of Electrical Engineering and Computer Science University of Michigan Ann ArborMI48109 United States Department of Electronics and Communication Engineering SR University Telangana Warangal506 371 India Department of Electrical and Electronics Engineering Anil Neerukonda Institute of Technology and Sciences Andhra Pradesh Visakhapatnam531 162 India

Beta‑gallium oxide (β-Ga2O3) has emerged as a promising semiconductor material for next-generation power electronics due to its ultra-wide bandgap (4.9 eV), exceptional breakdown electric field (8 MV/cm), and compatibility with cost-effective melt growth methods for producing large-area single crystals. This comprehensive review examines recent advances in β-Ga2O3 metal-oxide-semiconductor field-effect transistors (MOSFETs), spanning from material synthesis to device implementation. The review then investigates device architectures, examining both depletion-mode and enhancement-mode β-Ga2O3 MOSFETs. We highlight crucial design elements including field plates, innovative gate structures, and channel engineering techniques that have enabled devices with breakdown voltages exceeding 2.3 kV and power figures of merit surpassing 150 MW/cm2. Additionally, we address significant challenges, particularly thermal management issues stemming from β-Ga2O3's relatively low thermal conductivity (10–20 W/m·K) and the current absence of p-type doping capability, discussing various proposed solutions including diamond heat spreaders, heterogeneous substrate integration, and advanced packaging approaches. Finally, we examine emerging concepts such as nanomembrane transistors, fin structures, and heterojunction FETs, concluding with insights on future research directions for this promising semiconductor technology. © 2025 Elsevier B.V.

关键词： MOSFET devices

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Superconductivity in Bi1.6Pb0.4Sr2Ca2Cu3O10+δ ceramics with cobalt ferrite (CoFe2O4) nanoparticle addition

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Ceramics International 2025年第12期51卷 16134-16142页

作者： Tran, Duc H. Pham, An T. Binh, Nguyen Thanh Anh, Do Thi Kim Nam, Nguyen Hoang Hong, Nguyen T.M. Cuong, Le Viet Pham, Phong V. Huy, Nguyen Quang Huong, Tran Thi Man, Nguyen K. Lim, Kean Pah Kechik, Mohd Mustafa Awang Chen, Soo Kien Le, Tien Faculty of Physics University of Science Vietnam National University Hanoi100000 Viet Nam Nano and Energy Center University of Science Vietnam National University Hanoi100000 Viet Nam Faculty of Engineering Physics and Nanotechnology VNU University of Engineering and Technology Hanoi100000 Viet Nam University of Science Vietnam National University Hanoi100000 Viet Nam Faculty of Electronics and Computer Engineering University of Economics - Technology for Industries Hanoi100000 Viet Nam Faculty of Electronic Materials and Devices School of Materials Science and Engineering Hanoi University of Science and Technology Hanoi100000 Viet Nam Department of Physics Faculty of Science Universiti Putra Malaysia Selangor Serdang43400 Malaysia University of Science and Technology of Hanoi Vietnam Academy of Science and Technology 18 Hoang Quoc Viet Cau Giay Hanoi100000 Viet Nam

This study explores the use of cobalt ferrite (CoFe2O4) nanoparticles as artificial pinning centers to investigate flux pinning characteristics in the Bi1.6Pb0.4Sr2Ca2Cu3O10+δ ceramics. Polycrystalline samples with the composition (Bi1.6Pb0.4Sr2Ca2Cu3O10+δ)1−x(CoFe2O4)x, where x ranges from 0.000 to 0.010, are synthesized based on the solid-state formation. Structural and surface analyses reveal that the samples predominantly comprise superconducting phases, with volume fractions varying with x. An increase in x leads to a drop in the critical temperature (Tc). However, an improvement in the critical current density (Jc) is observed at x = 0.002, owing to the addition of CoFe2O4. The collective pinning theory indicates a shift from a single-vortex to small bundle vortex pinning at the crossover field (Bsb) in all samples. The dependence of Bsb on temperatures is consistent with δl pinning, attributed to changes in the mean free path of the charge carrier. Geometries of artificial pinning centers are identified as 2D using the Dew–Hughes model. CoFe2O4 nanoparticles are primarily located at the grain boundaries, filling voids and supporting pinning through grain boundaries. © 2025 Elsevier Ltd and Techna Group S.r.l.

关键词： Flux pinning

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QoS Improvement in Multi User Cellular-Symbiotic Radio Network Assisted by Active-Star-RIS

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IEEE Transactions on Cognitive Communications and Networking 2025年

作者： Yeganeh, Rahman Saadat Omidi, Mohammad Javad Zeinali, Farshad Mili, Mohammad Robat Ghavami, Mohammad Isfahan University of Technology Department of Electrical and Computer Engineering Isfahan84156-83111 Iran Kuwait College of Science and Technology Department of Electronics and Communication Engineering Doha35003 Kuwait Tehran Iran London South Bank University Electrical and Electronic Engineering Department LondonSE1 0AA United Kingdom

In this article, we employ active simultaneously transmitting and reflecting reconfigurable intelligent surfaces (ASRIS) to enhance the quality of 6G cellular network services. The network integrates commensal symbiotic radio (CSR) subsystems to facilitate communication between passive Internet of Things (IoT) users and active users, referred to as symbiotic backscatter devices (SBDs) and symbiotic user equipments (SUEs), respectively. Since the SBDs are passive, transmitting information to the SUEs poses significant challenges. To overcome this challenge, we harness the capabilities of massive multiple input multiple output (MIMO) antennas within the base station (BS) to relay the information transmitted by SBDs with greater power. This scheme uses the non-orthogonal multiple access (NOMA) technique for multiple access among all users, and potential interferences are eliminated using successive interference cancellation (SIC). The primary objective is to maximize the throughput between SBDs and SUEs. To achieve this, we formulate an optimization problem involving variables such as active beamforming coefficients at the BS and ASRIS, phase adjustments of ASRIS, and scheduling parameters between CSR and cellular networks. To solve this optimization problem, we used three deep reinforcement learning (DRL) methods: proximal policy optimization (PPO), twin delayed deep deterministic policy gradient (TD3), and asynchronous advantage actor critic (A3C). These methods were simulated, and the results demonstrate that A3C, TD3, and PPO have the best convergence speeds and achieve the highest increases in network throughput, respectively. Finally, the proposed scheme was evaluated using passive simultaneously transmitting and reflecting RIS (STAR-RIS), which demonstrated poorer performance compared to ASRIS. © 2025 IEEE.

关键词： Deep learning

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Broadband Unidirectional Vivaldi Antenna for Radar Application

Broadband Unidirectional Vivaldi Antenna for Radar Applicati...

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International ECTI Northern Section Conference on Electrical, electronics, computer and Telecommunications Engineering (ECTI-NCON)

作者： Pattawin Changnam Pisit Janpangngern Apichart Intarapanich Chanchai Thongsopa Nuchanart Santalunai Samran Santalunai School of Electronic Engineering Institute of Engineering Suranaree University of Technology Nakhon Ratchasima Thailand National Electronics and Computer Technology Center (NECTEC) National Science and Technology Development Agency (NSTDA) Thailand Department of Telecommunication Engineering Faculty of Engineering and Technology Rajamangala University of Technology Isan Nakhon Ratchasima Thailand

ISBN: (数字)9798331543273

ISBN: (纸本)9798331543280

This paper presents the design of a broadband Vivaldi antenna intended for radar systems operating across the 2-6 GHz frequency range. The antenna design employs an optimized corrugated Vivaldi antenna and a coaxial feed structure to ensure wideband performance. A 50-ohm N-type connector is integrated for efficient signal transmission between the antenna feed, transmitter, and receiver, minimizing reflection losses and enhancing overall system efficiency. Measurements show that the antenna achieves Half-Power Beamwidth (HPBW) values of 100° for the xz-plane and 80° for the yz-plane at 2.45 GHz, 80° for the xz-plane and 60° for the yz-plane at 3.5 GHz, and 80° for the xz-plane and 40° for the yz-plane at 5.5 GHz. Additionally, the antenna gains increase with frequency, reaching 6.60 dBi at 2.45 GHz, 8.34 dBi at 3.5 GHz, and 11.74 dBi at 5.5 GHz. The proposed Vivaldi antenna configuration is particularly suited for radar applications that require multi-band operation, facilitating the detection and tracking of various target sizes and distances. By covering a broad bandwidth, this design improves radar system performance, particularly in frequency-modulated continuous wave (FMCW) radar environments, enabling robust target detection in diverse operating conditions.

关键词： Antenna measurements Target tracking Vivaldi antennas Transmitting antennas Radar detection Directive antennas Radar antennas Broadband communication Frequency measurement Wideband

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A Verification Framework Based on EDA Algorithms for E-book Design by Visual Programming Language

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IEEE Software 2025年

作者： Koong, Chorng-Shiuh Hsieh, Tung-Li Wu, Chao-Chin Guo, Cheng-Yan National Taichung University of Education Department of Computer Science and Information Engineering Taichung City403514 Taiwan National Kaohsiung University of Science and Technology Department of Electronic Engineering Kaohsiung City807618 Taiwan National Changhua University of Education Department of Computer Science and Information Engineering Changhua50007 Taiwan National Taiwan University Graduate Institute of Electronics Engineering The Graduate School of Advanced Technology Taipei106319 Taiwan

Creating an interactive electronic book (e-book) requires substantial time, skill, and effort. Our study reveals that authoring tools must eliminate users' need for textual programming. We propose a novel interactive e-book design method that uses multimedia reusable components (MRCs) and an e-book description language (EBDL) to implement e-book authoring tools like a circuit design concept. Interactive ebooks can be designed intuitively using MRCs and EBDL without text-based programming, which differs from static syntax analysis of text-based programming languages. The designs using MRCs and EBDL can be verified and tested using the Boolean satisfiability of the electronic design automation algorithm. Notably, verification and debugging are challenging in current visual programming languages. Therefore, our research provides e-book designers reduce the technical requirements of e-book design. The findings can also ensure visual programming languages' consistent behavior and design while detecting design errors. © 1984-2012 IEEE.

关键词： Visual languages

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Improving the Performance of Job Backfilling Based on Job's Weight and Back Propagation Neural Network

Improving the Performance of Job Backfilling Based on Job's ...

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Computational Intelligence Approaches and Applications (ICCIAA), International Conference on

作者： Hazem Alnajjar Nadia Al-Rousan Syed Sahal Nazli Alhady Syed Hassan Junita Mohamad-Saleh Department of Computer Science College of Information Technology University of Petra Amman Jordan Department of computer engineering College of Engineering AlBalqa Applied University Salt Jordan Department of Computer Engineering Faculty of Electrical Engineering and Information Systems German Jordanian University Amman Jordan Colleage of Engineering and Architecture School of Electrical & Electronic Engineering Engineering Branch Campus Universiti Sains Malaysia Malaysia

ISBN: (数字)9798331523657

ISBN: (纸本)9798331523664

Nowadays, the grid computing environment faces many difficulties executing new jobs, especially jobs requiring large resource requirements and long execution times. This motivates researchers and scholars to find cheap and fast methods to improve the efficiency of grid environments. One of the cheap and fast methods is to implement job scheduling algorithms based on cheap and fast techniques. This paper proposes a new job ranking backfilling algorithm based on the job's weight and back propagation neural network. To define the weight of the job, first, the proposed model will use a clustering algorithm to cluster the job's dataset into groups, and then the groups will be ranked using an experimental ranking equation. A discrete event simulator is used to validate the proposed algorithm's capability and robustness. The average results revealed that the new algorithm outperforms previous algorithms. The improvement of the studied metrics is between 1.19 and 6.30, respectively. The results proved that the proposed model is efficient and can be used with low overhead in a real environment.

关键词： Backpropagation Measurement Scheduling algorithms Computational modeling Neural networks Clustering algorithms Grid computing Mathematical models Robustness Faces

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Reliable Multihop Routing and Congestion Aware Chicken Swarm Optimization in Vehicular Ad-Hoc Network 3

Reliable Multihop Routing and Congestion Aware Chicken Swarm...

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3rd International Conference on Integrated Circuits and Communication Systems, ICICACS 2025

作者： Anitha, Cuddapah Al-Tarazi, Dalia Vignesh, G.D. Vasuki, A. Vinotha Giri, Jayant Dinesh, M. School of Computing Mohan Babu University Erstwhile Sree Vidyanikethan Engineering College Department of Computer Science and Engineering Tirupati India Zarqa University Faculty of Engineering Department of Architecture Engineering Zarqa Jordan College of Engineering University of Business and Technology Jeddah Saudi Arabia St. Joseph's College of Engineering Department of Electronics and Communication Engineering Chennai India J.P. College of Engineering Department of Computer Science and Engineering Tenkasi India Yeshwantrao Chavan College of Engineering Department of Mechanical Engineering Nagpur India Lovely Professional University Division of Research and Development Phagwara India Department of Vlsi Microelectronics Chennai India

ISBN: (纸本)9798331508456

Background: Vehicular Ad Hoc Networks (VANETs) play a crucial role in intelligent transportation by facilitating communication between vehicles and vehicles with infrastructure-based models. They encounter problems such as significant movement, overcrowding, and loss of data. This research presents a novel deep reinforcement learning-based resource allocation and congestion optimization (DRLRCO) framework aimed at improving communication efficiency and high reliability using an effective learning process. Method Used: The DRLRCO framework employs agent-based learning to ensure precise data transmission, AdMAC Protocol for dynamic packet delivery, and Congestion-Aware Chicken Swarm Optimization (CSO) to enhance network performance. Result: The DRLRCO framework surpasses reinforcement learning models for comprehensive testing. Significant enhancements involve improved accuracy, reduced data loss, minimized overhead, increased throughput, and shorter average delays for real-time communication. Conclusion: The DRLRCO framework successfully tackles congestion and data loss in vehicular communication. Future studies might involve Artificial Intelligence (AI) for traffic forecasting, experimentation among high-speed vehicles and investigating blockchain for enhanced security. © 2025 IEEE.

关键词： Deep reinforcement learning

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Chatbots and Customer Service: Enhancing Marketing Management with AI Technologies

Chatbots and Customer Service: Enhancing Marketing Managemen...

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2025 International Conference on Pervasive Computational Technologies, ICPCT 2025

作者： Rajchandar, K. Hari Krishna, Somanchi Khalil Wani, Showkat Pathak, Supriya Jain, Amit Kumar Naveen Kumar, C.M. Sr University School of Cs & Ai Telangana Warangal India Vignana Bharathi Institute of Technology Department of Business Management Telangana State 501301 India Saudi Electronic University College of Administrative and Financial Sciences Department of Business Administration Riyadh Saudi Arabia Oriental University Faculty of Management and Commerce Madhya Pradesh Indore India Poornima University Department of Electrical & Electronics Engineering Rajasthan JaipurIS-2027-2031 India Malnad College of Engineering Department of Computer Science & Business Systems Karnataka Hassan573202 India

ISBN: (纸本)9798331508685

By increasing engagement, expediting client contacts, and boosting satisfaction through AI-driven solutions, chatbot integration in customer service has revolutionised marketing management. With an emphasis on how model assessment techniques - such as accuracy, precision, recall, and F1 score - can be applied to enhance chatbot efficacy in customer service scenarios, this paper investigates the role of machine learning models in optimising chatbot performance. In order to appropriately meet a variety of consumer demands, this research offers perspectives into the selection, training, and evaluation of chatbot models by analysing a range of AI technologies, such as natural language processing (NLP) and predictive analytics. The influence of chatbots on customer loyalty and retention is highlighted in this article, which also explores the benefits and limitations of utilising AI in real-time consumer interactions. According to research, well-considered ML models can produce more precise and sympathetic answers, which enhances brand perception and opens up new channels for CRM in marketing plans. © 2025 IEEE.

关键词： Sales

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Synesthesia of Machines (SoM)-Enhanced ISAC Precoding for Vehicular Networks with Double Dynamics

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IEEE Transactions on Communications 2025年

作者： Yang, Zonghui Gao, Shijian Cheng, Xiang Yang, Liuqing Peking University State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Beijing100871 China Internet of Things Thrust Guangzhou511400 China Hong Kong University of Science and Technology Department of Electronic and Computer Engineering Hong Kong

Integrated sensing and communication (ISAC) technology is vital for vehicular networks, yet the time-varying communication channels and rapid movement of targets present significant challenges for real-time precoding design. Traditional optimization-based methods are computationally complex and strongly depend on perfect prior information, which is often unavailable in double-dynamic scenarios. In this paper, we propose a synesthesia of machine (SoM)-enhanced precoding paradigm that leverages modalities such as positioning and initial channel information to adapt to these dynamics. Utilizing a deep reinforcement learning (DRL) framework, our approach pushes ISAC performance boundaries. We also introduce a parameter-shared actor-critic architecture to accelerate training in complex state and action spaces. Extensive experiments validate the superiority of our method over existing approaches. © 1972-2012 IEEE.

关键词： Deep reinforcement learning

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