2022 IEEE VLSI Device Circuit and System (VLSI DCS)最新文献_第3页

Performance Assessment of InGaN Double Gate Stack-Oxide MOSFET based Phosphine Gas Sensor: A Catalytic Metal Gate Approach 基于InGaN双栅堆叠-氧化物MOSFET的磷化氢气体传感器性能评估:一种催化金属栅极方法

2022 IEEE VLSI Device Circuit and System (VLSI DCS) Pub Date : 2022-02-26 DOI: 10.1109/VLSIDCS53788.2022.9811478

Ajay Kumar, Dipanjan Sen, S. Sinha

引用次数: 1

Electrical Noise Analysis of L-Shaped Gate Tunnel Field Effect Transistor l型栅隧道场效应晶体管的电噪声分析

2022 IEEE VLSI Device Circuit and System (VLSI DCS) Pub Date : 2022-02-26 DOI: 10.1109/vlsidcs53788.2022.9811457

S. Chander, Rekha Chaudhary, S. K. Sinha

引用次数: 0

Optical Characteristics of Broadband Raman Amplifier Coupled with Multimode Fiber Designed at 1550 nm in Presence of Doping 1550nm掺杂下宽带拉曼放大器与多模光纤耦合的光学特性

2022 IEEE VLSI Device Circuit and System (VLSI DCS) Pub Date : 2022-02-26 DOI: 10.1109/VLSIDCS53788.2022.9811479

Rikita Das, A. Deyasi

引用次数: 0

Method for Enabling RDMA Transport Peer to Peer Transfer with NVMeoF Ethernet SSDs 使用NVMeoF以太网ssd开启RDMA传输对等传输的方法

2022 IEEE VLSI Device Circuit and System (VLSI DCS) Pub Date : 2022-02-26 DOI: 10.1109/VLSIDCS53788.2022.9811431

Venkataratnam Nimmagadda, Sandeep Kumar Ananthapalli

{"title":"Method for Enabling RDMA Transport Peer to Peer Transfer with NVMeoF Ethernet SSDs","authors":"Venkataratnam Nimmagadda, Sandeep Kumar Ananthapalli","doi":"10.1109/VLSIDCS53788.2022.9811431","DOIUrl":"https://doi.org/10.1109/VLSIDCS53788.2022.9811431","url":null,"abstract":"P2P (peer to peer) transfer enables to offload Host CPU & its DRAM, while running critical enterprise applications like replication & snapshot. P2P is inherently possible in the PCIe domain because of the Address based and ID based routing characteristics of the single root PCIe topology. CMB (controller memory buffer) can be utilized in PCIe based NVMe (Non-Volatile Memory Express) SSDs to achieve P2P transfer without involving the Host CPU & DRAM [1]. Now a days Data Centers trending to migrate to a scalable, disaggregated storage transports like NVMeoF (Non-Volatile Memory Express Over Fabrics) [4]. Moreover, peers may reside on different racks of Data Center connected with NVMeoF transport. Currently there is no inherent method available to use CMB feature [5] and doing P2P transfer in NVMeoF. In this paper we approach this problem by using VUC (vendor unique command) for sharing Peer's connection information & establishing a dedicated P2P QP (Queue pair) connection among the peer Ethernet SSDs. Through this method the host CPU will just give control messages to initiate the P2P transfer so that highly intensive IO transfer responsibility is fully offloaded to peer NVMeoF SSDs. The proposed approach is energy efficient and nullifies the power consumed by Host DRAM for data copy & reduces load on ethernet switch to half, while the data copy speed is doubled without affecting the throughput.","PeriodicalId":307414,"journal":{"name":"2022 IEEE VLSI Device Circuit and System (VLSI DCS)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116705969","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Current Sensitivity and Power Dissipation Analysis of Junctionless Double Gate MOSFET Biosensor 无结双栅MOSFET生物传感器的电流灵敏度和功耗分析

2022 IEEE VLSI Device Circuit and System (VLSI DCS) Pub Date : 2022-02-26 DOI: 10.1109/VLSIDCS53788.2022.9811436

Bedantika Basu, Debosmita Ghosh, Madhusree Banerjee, Papiya Debnath

引用次数: 0

Comparative Study of Supervised Machine Learning Methods for Prediction of Heart Disease 有监督机器学习方法在心脏病预测中的比较研究

2022 IEEE VLSI Device Circuit and System (VLSI DCS) Pub Date : 2022-02-26 DOI: 10.1109/vlsidcs53788.2022.9811495

Meghavi Rana, Mohammad Zia Ur Rehman, S. Jain

引用次数: 1

Implementation of Linear Quadratic Regulator in an Isolated Microgrid System 线性二次型调节器在孤立微电网系统中的实现

2022 IEEE VLSI Device Circuit and System (VLSI DCS) Pub Date : 2022-02-26 DOI: 10.1109/VLSIDCS53788.2022.9811439

Prasun Sanki, M. Basu, P. Pal, D. Das

引用次数: 1

Modeling an Energy Efficient Clustering Protocol with Spider Cat Swarm Optimization for WSN 基于蜘蛛猫群优化的WSN节能聚类协议建模

2022 IEEE VLSI Device Circuit and System (VLSI DCS) Pub Date : 2022-02-26 DOI: 10.1109/VLSIDCS53788.2022.9811491

T.M.Saravanan, S. Saravanakumar

{"title":"Modeling an Energy Efficient Clustering Protocol with Spider Cat Swarm Optimization for WSN","authors":"T.M.Saravanan, S. Saravanakumar","doi":"10.1109/VLSIDCS53788.2022.9811491","DOIUrl":"https://doi.org/10.1109/VLSIDCS53788.2022.9811491","url":null,"abstract":"To run the networks most effectively, the primary activities connected with Wireless Sensor Networks (WSNs), particularly the sensing and communication tasks, must be designed correctly. Because sensor nodes (SN) remain unattended after deployment, their energy (battery supply) and computational capabilities restrict the network's lifespan. The sources of energy must be effectively utilized in order to keep the networks running for a long time. As a result, the WSN's two most important criteria are optimal node location estimate and efficient energy consumption. The Spider Cat Swarm Optimization (SCSO) method is used in this study to optimize the network layout by including it into the load - balancing. The efficiency of the SCSO algorithm-based clustering method is examined in simulation and confirmed in a present experimental. By simulated results, the performance of other treatments based on traditional Modified Low-energy Adaptive Clustering Hierarchy (MODLEACH) and evolutionary method Optimized Swarm Optimization (OPSO) is also investigated and assessed. In compared to MODLEACH and OPSO, the SCSO algorithm based clustering protocol improved system performance (energy consumption).","PeriodicalId":307414,"journal":{"name":"2022 IEEE VLSI Device Circuit and System (VLSI DCS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116207209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

A DFT Study on Sensing Performance of H2S and NO2 Gas Molecules on 2D Pentagonal PdSe2 二维五边形PdSe2上H2S和NO2气体分子传感性能的DFT研究

2022 IEEE VLSI Device Circuit and System (VLSI DCS) Pub Date : 2022-02-26 DOI: 10.1109/VLSIDCS53788.2022.9811497

Prasanna Karki, Bibek Chettri, B. Kunwar, B. Sharma

引用次数: 2

Design and Implementation of Authentication System Using Deep Convoluted Siamese Network 基于深度卷积连体网络的认证系统设计与实现

2022 IEEE VLSI Device Circuit and System (VLSI DCS) Pub Date : 2022-02-26 DOI: 10.1109/VLSIDCS53788.2022.9811444

Sumagna Dey, Indrajit Das, Soubarna Das, Subhrapratim Nath

{"title":"Design and Implementation of Authentication System Using Deep Convoluted Siamese Network","authors":"Sumagna Dey, Indrajit Das, Soubarna Das, Subhrapratim Nath","doi":"10.1109/VLSIDCS53788.2022.9811444","DOIUrl":"https://doi.org/10.1109/VLSIDCS53788.2022.9811444","url":null,"abstract":"The majority essential prerequisite in this day is to conquer the various sorts of threats. Human behavioral and physiological components have the biggest alternative to overcome these security issues. In any case, the current biometric authentication methodology like fingerprints, faces and iris are profoundly complex methods. So in this paper, a new authentication system i.e. Finger vein authentication with the help of Deep Convoluted Siamese network has been proposed. The region of interest was done by threshold value over captured images by NIR and CCD cameras. After that, the Deep convoluted Siamese network is used to compare and contrast between two images to predict whether the two images are similar or not. The modern Siamese network uses a \"Triplet Loss Function\". In this triplet loss function, three fundamental images (Anchor Image, Positive Image and Negative Image) are considered where each image is a pixel matrix. The detection accuracy for testing and training is 97.2% and 96.4 % which is compared by utilizing several machine learning techniques (ANFIS, SVM, MLP and Global mapping/SVM) accuracy. It is clear from the comparative analysis that the proposed method gives better results than other algorithms. The proposed methodology TPR, FPR, FNR and TNR are 0.916, 0.027, 0.041 and 0.027 respectively. From these values, it is obvious that the proposed model gives better results, as the TP value is higher while the FP, FN and TN value are lower.","PeriodicalId":307414,"journal":{"name":"2022 IEEE VLSI Device Circuit and System (VLSI DCS)","volume":"267 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121483799","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0