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Low-power test pattern generator using modified LFSR

Aerospace Systems 2024年第1期7卷 67-74页

作者： Govindaraj, V. Dhanasekar, S. Martinsagayam, K. Pandey, Digvijay Pandey, Binay Kumar Nassa, Vinay Kumar Department of Electronics and Communication Engineering Dr NGP Institute of Technology Coimbatore641048 India Department of Electronics and Communication Engineering Sri Eshwar College of Engineering Coimbatore641202 India Department of Electronics and Communication Engineering Karunya Institute of Technology and Sciences Coimbatore641114 India Department of Technical Education Uttar Pradesh Kanpur India Department of Information Technology College of Technology Govind Ballabh Pant University of Agriculture and Technology Pantnagar Udham Singh Nagar Uttarakhand India Computer Science Engineering Department Rajarambapu Institute of Technology Rajaramnagar Sakharale Tel Walwa Dist Sangli Maharashtra Islampur415414 India

Low-power designs are getting increased significance in numerous applications like high-performance computing and wireless communication due to the rise in power dissipation. Power dissipation of VLSI (very large scale integration) circuits in test mode is much higher than in the normal operation mode due to the high frequency of applied test patterns. Product lifetime, yield, reduced performance, and circuit damage will result from this additional power consumption in testing. Therefore, the main objective of today’s test applications is to minimize power dissipation by increasing the correlation of applied successive test vectors. Low-power test pattern generator (TPG) using LFSR (linear feedback shift register) and binary to the excess-4 converter and binary ripple counter is proposed. The test vectors generated by the TPG have a high correlation between successive test vectors, which leads to minimum switching. During the testing of benchmark circuits, the proposed method shows a significant reduction in dynamic power consumption concerning its peer works. © Shanghai Jiao Tong University 2023.

关键词： Electric power utilization

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Multi-scale network for single image deblurring based on ensemble learning module

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Multimedia Tools and Applications 2025年第11期84卷 9045-9064页

作者： Wu, WenBo Pan, Yun Su, Na Wang, JingTao Wu, ShaoChuan Xu, ZeKun Yu, YouJian Liu, YaPeng State Key Laboratory of Media Convergence and Communication Communication University of China Beijing100024 China School of Computer and Cyberspace Security Communication University of China Beijing100024 China School of Electronics and Information Engineering Harbin Institute of Technology Harbin150080 China College of Computer and Control Engineering Northeast Forestry University Harbin150040 China School of Computer and Information Engineering Tianjin Chengjian University Tianjin300384 China School of Computer Science and Technology Anhui University Hefei230601 China

In this paper, we have identified two primary issues with current multi-scale image deblurring methods. On the one hand, the blurring scale is ignored. On the other hand, the context information of images is not fully utilized, and the spatial detail information of images is lost. To better solve the above problems, on top of that, this paper proposes a multi-scale network for single image deblurring. The designed network contains two parts: 1) Ensemble Learning Model: The Weak Learning Model in this module connects multiple weak learners in series to increase network depth. Moreover, through multi-scale feature ensemble module, the output features and intermediate features of different weak learner are integrated, and finally strong learner is used to enhance the features with semantic information at different scales;2) Spatial Feature Enhancement Module: This module can preserve spatial detail information of images and compensate for the disadvantages of losing image spatial details due to continuous downsampling in the Ensemble Learning Model structure. Our proposed deblurring model has been extensively evaluated on several benchmark datasets, and the model achieves superior performance compared to the most advanced deblurring methods. In particular, the peak signal-to-noise ratio (PSNR) and structural similarity index measure (SSIM) values are 33.57 dB and 0.965 on the GoPro dataset, respectively, with PSNR and SSIM improving by 0.49 dB and 0.002 over NAFNet, and 0.65 dB and 0.004 over Restormer. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Learning systems

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Performance Analysis of Leach and Pegasis Routing Protocols in a Wireless Sensor Networks for Smart Water Quality Monitoring 15

Performance Analysis of Leach and Pegasis Routing Protocols ...

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15th International Conference on Computing communication and Networking Technologies, ICCCNT 2024

作者： Anjali, S.V. Paul, Binu Dhanya, S. Pradeep, Anju Cochin University of Science and Technology Division of Electronics Engineering School of Engineering Kerala Kochi22 India Muthoot Institute of Technology and Science Department of Electronics and Communication Engineering Kerala Kochi India

ISBN: (纸本)9798350370249

In the aquaculture industry, maintaining optimal water quality is imperative for the health and productivity of aquatic species such as prawns and pearl spot fish. Wireless Sensor Networks (WSNs) have emerged as a promising technology for real-time water quality monitoring in aquaculture settings due to their cost-effectiveness, scalability, and ability to provide continuous data collection. In this paper we present a comprehensive comparison between two prominent routing protocols, Low Energy Adaptive Clustering Hierarchy (LEACH) and Power-Efficient GAthering in Sensor Information Systems (PEGASIS) for water quality monitoring. The primary focus is on evaluating their performance in terms of energy efficiency and network lifetime. The performance analysis is conducted through simulations using the MATLAB, considering parameters relevant to the aquaculture environment such as energy efficiency, data aggregation and network lifetime. Our findings reveal the distinct advantages and limitations of both LEACH and PEGASIS in the context of smart aquaculture. LEACH demonstrates superior energy efficiency and scalability through its clustering mechanism, making it suitable for large-scale deployments. © 2024 IEEE.

关键词： aquaculture industry energy efficiency LEACH network life time PEGASIS

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A Self-Attention Based Dynamic Resource Management for Satellite-Terrestrial Networks

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China communications 2024年第4期21卷 136-150页

作者： Lin Tianhao Luo Zhiyong School of Electronics and Communication Engineering Sun Yat-Sen UniversityShenzhen 518107China Peng Cheng Laboratory Shenzhen 518107China

The satellite-terrestrial networks possess the ability to transcend geographical constraints inherent in traditional communication networks,enabling global coverage and offering users ubiquitous computing power support,which is an important development direction of future *** this paper,we take into account a multi-scenario network model under the coverage of low earth orbit(LEO)satellite,which can provide computing resources to users in faraway areas to improve task processing ***,LEO satellites experience limitations in computing and communication resources and the channels are time-varying and complex,which makes the extraction of state information a daunting ***,we explore the dynamic resource management issue pertaining to joint computing,communication resource allocation and power control for multi-access edge computing(MEC).In order to tackle this formidable issue,we undertake the task of transforming the issue into a Markov decision process(MDP)problem and propose the self-attention based dynamic resource management(SABDRM)algorithm,which effectively extracts state information features to enhance the training *** results show that the proposed algorithm is capable of effectively reducing the long-term average delay and energy consumption of the tasks.

关键词： mobile edge computing resource management satellite-terrestrial networks self-attention

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A multi-frame sparse self-learning PWC-Net for motion estimation in satellite video scenes

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Science China(Information Sciences) 2023年第9期66卷 213-225页

作者： Tengfei WANG Yanfeng GU Shengyang LI School of Electronics and Information Engineering Harbin Institute of Technology Technology and Engineering Center for Space Utilization Chinese Academy of Sciences University of Chinese Academy of Sciences

Motion estimation is an important approach to acquiring motion information of all targets in satellite video while it provides the ability to real-time monitor the Earth observation region. Compared with the case in computer vision, motion estimation in satellite video has to face two main difficulties: the large scale of observation and numerous weak targets of low signal-to-noise ratio. In this paper, a multi-frame sparse self-learning PWC-Net(MSSPWC-Net) is proposed to implement motion estimation of the weak targets in satellite video. To overcome the shortage that the existing PWC-Net fails to extract motion information from numerous weak targets, motion consistency and sparse self-learning are introduced to modify the pyramid,warping, and cost volume convolutional neural networks(CNN) network(PWC-Net). The motion consistency between neighboring frames as a multi-frame framework is mainly used to improve the accuracy of motion estimation of the weak targets, and sparse self-learning is adopted to deal with the case that labeled samples in satellite video are insufficient to train PWC-Net. Numerical experiments are conducted on 4 real satellite video datasets. Experimental results demonstrate that the proposed MSSPWC-Net achieves the excellent performance of motion estimation of the weak targets in satellite video and outperforms the state-of-the-art methods.

关键词： satellite video scenes motion estimation small blurry targets

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Design and Circuit-Level Assessment of Memristor-NMOS for Low-Power Applications 2

Design and Circuit-Level Assessment of Memristor-NMOS for Lo...

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2nd IEEE International Conference on Integrated Intelligence and communication Systems, ICIICS 2024

作者： Tejesh, B.S.S. Tripathy, Manas Ranjan Ramakrishnan, M. Darshini, K. Mariya Priya Sreenivasulu, Vakkalakula Bharat Singh, Ashish kumar Department of Electronics and Communication Engineering SRM University Andhra Pradesh Amaravati India School of Electronics Engineering KIIT University Bhubaneswar India Department of Electronics and Communication Engineering Andhra Loyola Institute of Engineering and Technology Vijayawada India Department of Electronics and Communication Engineering Manipal Institute of Technology Bengaluru Manipal Academy of Higher Education Bengaluru India Department of Computer Science Engineering Chitkara University Institute of Engineering and Technology Chitkara University Patiala India

ISBN: (纸本)9798331504960

This manuscript presents an essential overview of the implementation of memristor-based logic circuits. Different memristor models such as Linear Drift, Simmons Tunnel, Yakopcic, Non-Linear ion Drift, TEAM, and VTEAM have been taken into consideration and a comparison of results has been done adopting all these models. The logic gates such as NAND, NOT, NOR, AND, OR along with some combinational circuits such as a 1-bit comparator, and 2x1 multiplexer were designed and implemented using MRL (Memristor Ratioed Logic) in the LTSpice simulation tool. The primary target of this paper is affirming the attributes of memristor at the device level. Here the logic circuits are implemented using Memristor and NMOS devices. All the circuits designed in this paper operate at a supply voltage of 1V using HP memristor model. Moreover, the power consumed by the designed circuits has been analyzed and found to be in the order of pW. © 2024 IEEE.

关键词： Logic gates

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Enhanced rate capability and cycle stability of Ti2C MXene for sodium storage through an aniline molecules welding strategy

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Tungsten 2025年第1期7卷 161-171页

作者： Hao Chen Ya-Qin Wang Dong-Ting Zhang Bei Zhao Min-Peng Li Chen-Yang Li Tian-Peng Xu Mao-Cheng Liu State Key Laboratory of Advanced Processing and Recycling of Non-Ferrous Metals Lanzhou University of Technology School of Materials Science and Engineering Lanzhou University of Technology School of Computer and Communication Technology Lanzhou University of Technology

MXenes obtained significant attention in the field of energy storage devices due to their characteristic layered structure,modifiable surface functional groups,large electrochemically active surface,and regulable interlayer ***,the self-restacking and sluggish ions diffusion kinetics performance of MXenes during the alkali metal ions insertion/extraction process severely impedes their cycle stability and rate *** paper proposes an aniline molecule welding strategy for welding p-phenylenediamine（PPDA） into the interlayers of Ti2C through a dehydration condensation *** welded PPDA molecules can contribute pillar effect to the layered structure of *** pillar effect effectively maintains the structural stability during the sodium ions insertion/extraction process and effectively expands the interlayer spacing of Ti2C from 1.16 to 1.38 nm,thereby enhancing ions diffusion kinetics performance and improving the long-term cycle *** Ti2C-PPDA demonstrates outstanding Na+storage capability,exhibiting a specific capacity of 100.2 mAh·g-1at a current density of 0.1 A·g-1over 960 cycles and delivering a remarkable rate capability 81.2 mAh·g-1at a current density of 5 A·*** study demonstrates that expanding interlayer spacing is a promising strategy to enhance the Na+storage capacity and improve long-term cycling stability,which provides significant guidance for the design of two-dimensional Na+storage materials with high-rate capability and cycle stability.

关键词： Ti_2C Expanding interlayer spacing Sodium ions storage Diffusion kinetics Rate capability

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Occlusion Resilient Face Recognition and Alert System based on Siamese Network

Occlusion Resilient Face Recognition and Alert System based ...

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2025 IEEE International Students' Conference on Electrical, electronics and Computer Science, SCEECS 2025

作者： Shreyas, P. Rahul Krishna, A. Jay Surya, C. Arathi Krishna, R. Lavanya, R. Amrita School of Engineering Department of Electronics and Communication Engineering Amrita Vishwa Vidyapeetham Coimbatore India

ISBN: (数字)9798331529833

ISBN: (纸本)9798331529833

Face recognition is widely used in various applications. While current techniques perform well in controlled settings, accurately recognizing occluded faces remains challenging. This is crucial in computer vision for surveillance and public safety, where partial occlusions often compromise identification accuracy. This work aims to develop a model for detecting occluded faces and improving recognition accuracy in partial occlusion scenarios. We also plan to integrate this model with a real-time monitoring module accessible via a web-based GUI. Experiments conducted using the publicly available Labeled Faces dataset, along with a custom dataset, demonstrated 84.49% accuracy for Siamese Model. The system was tested in real-time, providing administrators with email alerts for unknown individuals through an intuitive interface. © 2025 IEEE.

关键词： Convolutional neural networks

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An authenticated spectrum acquirement and transmission of encrypted images over fusion centre

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Multimedia Tools and Applications 2024年 1-24页

作者： V, Thanikaiselvan Y, PiyaDessi S, Renuga devi Shanthini, S. Suba Mahalingam, Hemalatha S, Aashiq Banu R, Dhivya V.M, Padmapriya Amirtharajan, Rengarajan School of Electronics Engineering Vellore Institute of Technology Vellore Vellore India School of Information Technology Vellore Institute of Technology Vellore India Department of Electrical and Computer Engineering Faculty of Engineering King Abdulaziz University Jeddah22254 Saudi Arabia System Engineering Department Military Technological College Muscat Oman Department of Electronics and Communication Engineering Mepco Schlenk Engineering College Tamilnadu Sivakasi626005 India Department of Computer Sciences Marquette University MilwaukeeWI53233 United States School of Electrical & amp Electronics Engineering SASTRA Deemed University 613 401 Thanjavur India

These days, spectrum insufficiency is the most common issue. If the number of smartphone users who access the radio spectrum grows, the radio spectrum becomes increasingly scarce. Certain types of technology equipment are designed to work only within a specific spectrum range, and there is rivalry in specifications for various other applications. As a result, this paper effectively exploits a licensed user’s unused spectrum to reduce the crowded spectrum and eradicate the Radio spectrum shortage. Licensed primary users (PUs) and secondary users (SUs) would be accepted into a Fusion Centre (FC) based on a spectrum framework with authentication. The approved PUs begin by updating their information to FC1;thenceforth, encryption is performed on the information uploaded to FC1. This information from FC1 is stored in Cloud Storage after encryption using the Blowfish algorithm & De-oxy DNA, a fast encryption algorithm. Following that, FC2, connected to the same cloud environment, downloads the PU data uploaded. The spectrum is then allocated to the authenticated SU linked to FC2 based on signal conditions and priority. This proposed method also avoids any delay in the network and encryption by acquiring a fast encryption algorithm, making the system faster and avoiding the Primary User Emulation (PUE) attack. Later, the time taken for the Tiny Encryption Algorithm (TEA) and the Blowfish/DNA algorithm are compared to validate the run time for different input images. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Authentication

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High performance Binary to Gray code converter using Fredkin Gate 12

High performance Binary to Gray code converter using Fredkin...

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12th International Conference on Internet of Everything, Microwave, Embedded, communication and Networks, IEMECON 2024

作者： Bhattacharyay, Indradeep Vaithiyanathan, Dhandapani Jhariya, Dharmendra Kumar Verma, Manish Department Electronics and Communication Engineering National Institute of Technology Delhi110036 India Department Electronics and Communication Engineering National Institute of Technology Delhi110036 India

ISBN: (纸本)9798350387315

Digital devices rely heavily on binary to grey code converters for effective data transport, error detection and correction. When signal integrity is crucial, the Grey code, which deviates from binary code by just one bit position is chosen. Grey code conversion needs sophisticated logic circuits that are high-performance and low-latency. High-performance solutions have recently been created by researchers, such as Transmission gate-based converter. In contrast to earlier designs, this converter uses a modified Fredkin gate that functions as an XOR gate, which lowers power usage and latency. Simulation shows that the suggested design works better than the alternatives with a delay of just 1.319 ns (7.98% quicker than the transmission gate's 1.454 ns) and power usage of 11.2 uW (22% less than the transmission gate's 13.89 uW). Overall, the Fredkin gate-based converter provides a useful and fast method for converting binary to Grey code, which is appropriate for a range of digital electronics applications. © 2024 IEEE.

关键词： Code converters

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