2022 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS)最新文献_第3页

Radio-Frequency Energy Harvesting Systems for GSM and WiFi Bands GSM和WiFi频段的射频能量收集系统

2022 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS) Pub Date : 2022-06-06 DOI: 10.1109/DTS55284.2022.9809868

R. R. Shafiq, B. M. Elhalawany, M. M. Elsherbini

引用次数: 1

Circuitry Approaches for Reducing of the Zero Level in Three-Stage CJFET Operational Amplifier 降低三级CJFET运算放大器零电平的电路方法

2022 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS) Pub Date : 2022-06-06 DOI: 10.1109/DTS55284.2022.9809861

N. Prokopenko, A. Titov, A. Bugakova, V. Chumakov

引用次数: 0

Intelligent Tamper Detection Systems using Machine Learning 使用机器学习的智能篡改检测系统

2022 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS) Pub Date : 2022-06-06 DOI: 10.1109/DTS55284.2022.9809885

Basel Halak, Christian Hall, Syed Fathir, Nelson Kit, Ruwaydah Raymonde, Hugo Vincent

{"title":"Intelligent Tamper Detection Systems using Machine Learning","authors":"Basel Halak, Christian Hall, Syed Fathir, Nelson Kit, Ruwaydah Raymonde, Hugo Vincent","doi":"10.1109/DTS55284.2022.9809885","DOIUrl":"https://doi.org/10.1109/DTS55284.2022.9809885","url":null,"abstract":"Existing anti-tamper designs protect against limited forms of attacks and have deterministic tamper responses, which can undermine the availability of systems. Advancements in physical inspection techniques have enabled stealthier attacks. Therefore, there is a pressing need for more intelligent defenses that ensure a longer operational time while keeping up with the expected increase in the capabilities of adversaries. This study proposes to enhance existing physical protection methods by developing an intelligent anti-tamper using machine learning algorithms. It uses an analytic system capable of detecting and classifying multiple types of behaviors (e.g., normal operation conditions, known attack vectors, and anomalous behavior). A prototype of the proposed system has been implemented and its functionality has been successfully verified for two types of normal operating conditions and further four forms of physical attacks. In addition, a systematic threat modelling analysis and security validation was carried out, which indicated the proposed solution provides better protection against including information leakage, loss of data, and disruption of operation.","PeriodicalId":290904,"journal":{"name":"2022 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS)","volume":"312 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131675195","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

A CNN-based QTMT partitioning decision for the VVC standard 针对VVC标准的基于cnn的QTMT分区决策

2022 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS) Pub Date : 2022-06-06 DOI: 10.1109/DTS55284.2022.9809888

Bouthaina Abdallah, Sonda Ben Jdidia, Fatma Belghith, Mohamed Ali Ben Ayed, N. Masmoudi

{"title":"A CNN-based QTMT partitioning decision for the VVC standard","authors":"Bouthaina Abdallah, Sonda Ben Jdidia, Fatma Belghith, Mohamed Ali Ben Ayed, N. Masmoudi","doi":"10.1109/DTS55284.2022.9809888","DOIUrl":"https://doi.org/10.1109/DTS55284.2022.9809888","url":null,"abstract":"The Versatile Video Coding (VVC) standard enhances the coding performance in terms of bitrate and quality compared to its predecessor High Efficiency Video Coding (HEVC) at the expense of an additional coding complexity. This complexity is due to the new partitioning improvement named quadtree with nested multi-type tree (QTMT) which includes more partition shapes increasing the rate-distortion optimization (RDO) complexity. In this paper, a fast QTMT partition approach based on the Convolutional Neural Network (CNN) is proposed for the purpose of reducing the computational complexity. In fact, an intra QTMT decision tree method using a Convolutional Neural Network-binary tree horizontal (CNN-BTH) model is elaborated to determine the BTH decision depths at the 32×32 block size. The suggested fast partitioning algorithm achieves an important gain in the encoding time up to 64.26% compared to the original VVC software reference VTM-3.0. It allows a significant computational complexity reduction of 58.28% on average and an acceptable loss in the encoding performance.","PeriodicalId":290904,"journal":{"name":"2022 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132795120","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: 2

Development of optical sensor for determination of perchlorate ions 高氯酸盐离子光学传感器的研制

2022 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS) Pub Date : 2022-06-06 DOI: 10.1109/DTS55284.2022.9809846

N. B. Messaoud, C. Dridi, M. N. Abbas

引用次数: 0

Hand Movement Recognition with Long Short-Term Memory based Pattern Recognition of Acoustic Myography signals 基于听觉肌电信号模式识别的长短期记忆手动作识别

2022 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS) Pub Date : 2022-06-06 DOI: 10.1109/DTS55284.2022.9809905

Ali H. Al-timemy, Y. Serrestou, R. Khushaba, S. Yacoub, K. Raoof

{"title":"Hand Movement Recognition with Long Short-Term Memory based Pattern Recognition of Acoustic Myography signals","authors":"Ali H. Al-timemy, Y. Serrestou, R. Khushaba, S. Yacoub, K. Raoof","doi":"10.1109/DTS55284.2022.9809905","DOIUrl":"https://doi.org/10.1109/DTS55284.2022.9809905","url":null,"abstract":"Upper limb prosthesis control with pattern recognition (PR)- based on surface Electromyogram (EMG) signals has been heavily investigated in the literature. However, challenges related to signal non-stationarity and its impact by changing force levels, limb positions and many other factors all lead to poor system stability, prevent the widespread adoption of this technology. In this study, we propose an alternative modality based on Acoustic Myography (AMG), a recording of muscle vibrations at low frequencies, as a control signal to decipher the intended hand movements. A custom-built AMG armband, consisting of 4 microphones, has been developed in this study and evaluated on intact-limbed subjects performing six classes of hand and finger movements. Time domain and auto-regression (TD-AR) features, in addition to Bi long-short term memory (BiLSTM) deep learning classifier were utilized to perform the classification. An average classification accuracy of 85% was obtained, which shows the potential of using the developed AMG armband, with PR system for prostheses control.","PeriodicalId":290904,"journal":{"name":"2022 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS)","volume":"518 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124481117","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

High-Performance CMOS Tunable Differential Active Inductor for RF applications 用于射频应用的高性能CMOS可调谐差分有源电感器

2022 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS) Pub Date : 2022-06-06 DOI: 10.1109/DTS55284.2022.9809852

Sehmi Saad, F. Haddad, Aymen Ben Hammadi

引用次数: 1

Evaluation of FinFET in Ultra Low Power ALU 超低功耗ALU中FinFET的评估

2022 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS) Pub Date : 2022-06-06 DOI: 10.1109/DTS55284.2022.9809864

Avinash Yadhav, M. Rizkalla, T. Ytterdal, J. J. Lee, L. Balasubramanian, A. Gopinath

{"title":"Evaluation of FinFET in Ultra Low Power ALU","authors":"Avinash Yadhav, M. Rizkalla, T. Ytterdal, J. J. Lee, L. Balasubramanian, A. Gopinath","doi":"10.1109/DTS55284.2022.9809864","DOIUrl":"https://doi.org/10.1109/DTS55284.2022.9809864","url":null,"abstract":"The data path and memory elements are integral hardware components to evaluate the performance of a complex ASIC low power architecture. In this study, a FinFET model was evaluated via 7 nm FinFET process using ASAP PDK and applied to 6T SRAM cells and 32-bit ALU architecture. Devices of 0.207 V threshold were biased at 0.7V supply voltage. The clock router was properly modeled with accurate values of resistances and capacitances for the metal layers. The noise glitch and cross talk within the parallel running interconnects and the driving loads were incorporated in the model. A command set clock uncertainty is also integrated into the model to incorporate the clock jitter and clock skew effects. The architecture was optimized for worst case scenario with typical RC corners. The Non-Linear Delay Model (NLDM) was incorporated for the cell synthesis where a delay that is based on the input transition and output load capacitance was incorporated for better quality of results (QoR). The low power architecture was evaluated for worst case scenario considering typical-typical (TT) corners. A maximum effective device current of 18.26µA with subthreshold slope of 60mV/decade were estimated and considered in the system evaluation. The output ports were loaded with a typical 2fF capacitance. At 1 GHz operation, the internal power, switching power, and leakage power are reported to be 0.2705 mW, 0.7599 mW, and 0.00743 mW, respectively.","PeriodicalId":290904,"journal":{"name":"2022 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128032778","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

Infrared Absorbance of Distributed-Size HgTe Quantum Dots Under Diffuse Reflectance 漫反射下分布尺寸HgTe量子点的红外吸光度

2022 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS) Pub Date : 2022-06-06 DOI: 10.1109/DTS55284.2022.9809874

M. Kelany, Shaimaa Ib. Aref, M. Kana, Y. Sabry, Hasnaa M. Fahmy, D. Khalil

引用次数: 0

An Ultra-Wideband noise-reduction LNA With Variable Gain for Wireless Wake-up Receivers 一种用于无线唤醒接收机的变增益超宽带降噪LNA

2022 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS) Pub Date : 2022-06-06 DOI: 10.1109/DTS55284.2022.9809845

Mariem Bouraoui, I. Barraj, Amel Neifar, M. Masmoudi

引用次数: 1