IEEE open journal of circuits and systems最新文献_第9页

Circuit-Level Modeling and Simulation of Wireless Sensing and Energy Harvesting With Hybrid Magnetoelectric Antennas for Implantable Neural Devices 用于植入式神经设备的混合磁电天线无线传感和能量采集的电路级建模与仿真。

IEEE open journal of circuits and systems Pub Date : 2023-03-20 DOI: 10.1109/OJCAS.2023.3259233

Diptashree Das;Ziyue Xu;Mehdi Nasrollahpour;Isabel Martos-Repath;Mohsen Zaeimbashi;Adam Khalifa;Ankit Mittal;Sydney S. Cash;Nian X. Sun;Aatmesh Shrivastava;Marvin Onabajo

{"title":"Circuit-Level Modeling and Simulation of Wireless Sensing and Energy Harvesting With Hybrid Magnetoelectric Antennas for Implantable Neural Devices","authors":"Diptashree Das;Ziyue Xu;Mehdi Nasrollahpour;Isabel Martos-Repath;Mohsen Zaeimbashi;Adam Khalifa;Ankit Mittal;Sydney S. Cash;Nian X. Sun;Aatmesh Shrivastava;Marvin Onabajo","doi":"10.1109/OJCAS.2023.3259233","DOIUrl":"10.1109/OJCAS.2023.3259233","url":null,"abstract":"A magnetoelectric antenna (ME) can exhibit the dual capabilities of wireless energy harvesting and sensing at different frequencies. In this article, a behavioral circuit model for hybrid ME antennas is described to emulate the radio frequency (RF) energy harvesting and sensing operations during circuit simulations. The ME antenna of this work is interfaced with a CMOS energy harvester chip towards the goal of developing a wireless communication link for fully integrated implantable devices. One role of the integrated system is to receive pulse-modulated power from a nearby transmitter, and another role is to sense and transmit low-magnitude neural signals. The measurements reported in this paper are the first results that demonstrate simultaneous low-frequency wireless magnetic sensing and high-frequency wireless energy harvesting at two different frequencies with one dual-mode ME antenna. The proposed behavioral ME antenna model can be utilized during design optimizations of energy harvesting circuits. Measurements were performed to validate the wireless power transfer link with an ME antenna having a 2.57 GHz resonance frequency connected to an energy harvester chip designed in 65nm CMOS technology. Furthermore, this dual-mode ME antenna enables concurrent sensing using a carrier signal with a frequency that matches the second 63.63 MHz resonance mode. A wireless test platform has been developed for evaluation of ME antennas as a tool for neural implant design, and this prototype system was utilized to provide first experimental results with the transmission of magnetically modulated action potential waveforms.","PeriodicalId":93442,"journal":{"name":"IEEE open journal of circuits and systems","volume":"4 ","pages":"139-155"},"PeriodicalIF":0.0,"publicationDate":"2023-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10076793","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41223293","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

New Year Editorial 2023 2023年新年社论

IEEE open journal of circuits and systems Pub Date : 2023-03-01 DOI: 10.1109/OJCAS.2023.3245439

Gabriele Manganaro;Nicole Mcfarlane

引用次数: 0

Comprehensive Mapping of Continuous/Switching Circuits in CCM and DCM to Machine Learning Domain Using Homogeneous Graph Neural Networks 基于齐次图神经网络的CCM和DCM连续/开关电路到机器学习域的综合映射

IEEE open journal of circuits and systems Pub Date : 2023-01-04 DOI: 10.1109/OJCAS.2023.3234244

Ahmed K. Khamis;Mohammed Agamy

{"title":"Comprehensive Mapping of Continuous/Switching Circuits in CCM and DCM to Machine Learning Domain Using Homogeneous Graph Neural Networks","authors":"Ahmed K. Khamis;Mohammed Agamy","doi":"10.1109/OJCAS.2023.3234244","DOIUrl":"10.1109/OJCAS.2023.3234244","url":null,"abstract":"This paper proposes a method of transferring physical continuous and switching/converter circuits working in continuous conduction mode (CCM) and discontinuous conduction mode (DCM) to graph representation, independent of the connection or the number of circuit components, so that machine learning (ML) algorithms and applications can be easily applied. Such methodology is generalized and is applicable to circuits with any number of switches, components, sources and loads, and can be useful in applications such as artificial intelligence (AI) based circuit design automation, layout optimization, circuit synthesis and performance monitoring and control. The proposed circuit representation and feature extraction methodology is applied to seven types of continuous circuits, ranging from second to fourth order and it is also applied to three of the most common converters (Buck, Boost, and Buck-boost) operating in CCM or DCM. A classifier ML task can easily differentiate between circuit types as well as their mode of operation, showing classification accuracy of 97.37% in continuous circuits and 100% in switching circuits.","PeriodicalId":93442,"journal":{"name":"IEEE open journal of circuits and systems","volume":"4 ","pages":"50-69"},"PeriodicalIF":0.0,"publicationDate":"2023-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/8784029/10019301/10006651.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46165934","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Instruction for Authors 作者须知

IEEE open journal of circuits and systems Pub Date : 2023-01-01 DOI: 10.1109/OJCAS.2023.3348971

引用次数: 0

Adaptive Control Technique for Portable Solar Powered EV Charging Adapter to Operate in Remote Location 便携式太阳能电动汽车充电适配器远程运行自适应控制技术

IEEE open journal of circuits and systems Pub Date : 2023-01-01 DOI: 10.1109/OJCAS.2023.3247573

Nishant Kumar;Harshit Kumar Singh;Roland Niwareeba

{"title":"Adaptive Control Technique for Portable Solar Powered EV Charging Adapter to Operate in Remote Location","authors":"Nishant Kumar;Harshit Kumar Singh;Roland Niwareeba","doi":"10.1109/OJCAS.2023.3247573","DOIUrl":"https://doi.org/10.1109/OJCAS.2023.3247573","url":null,"abstract":"Every EV (Electric Vehicle) comes with limited energy storing capability. After travelling a certain distance, a charging facility is required to recharge the EV batteries, which is easy to be made available in cities. But, in remote locations, charging service is challenging. Therefore, big countries like USA, Canada, China, Russia, India, Australia, and few Arabian countries are planning to provide pillar top solar panels on remote locations for EV charging in emergency situations. To operate in this situation, a special charging adapter is required to extract maximum power from the panel using the MPPT (Maximum Power Point Tracking) technique, monitor the charging current, and safely complete the charging process. In this paper, a single sensor-based economical charging adapter is presented for EVs to fulfil this objective. Moreover, the Single Input Fuzzy Logic tuned Deterministic Optimization (SIFL-DO) algorithm is proposed to accomplish MPPT operation and battery charging management. Because of its low cost and fast response, the single current sensor-based charging adapter is highly economical. Additionally, the SIFL-DO algorithm has very good condition estimation and decision-making capability, which accurately performs MPPT and charging management. In this work, the capability of the developed adapter with the SIFL-DO algorithm is evaluated on Hardware prototype. Also, comparative studies are performed w.r.t. state-of-the-art techniques. Further to determine the industry’s suitability, the developed technique is tested on European Standard EN50530.","PeriodicalId":93442,"journal":{"name":"IEEE open journal of circuits and systems","volume":"4 ","pages":"115-125"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/8784029/10019301/10050089.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49909920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Cryogenic In-Memory Computing for Quantum Processors Using Commercial 5-nm FinFETs 使用商用5nm finfet的量子处理器的低温内存计算

IEEE open journal of circuits and systems Pub Date : 2023-01-01 DOI: 10.1109/OJCAS.2023.3309478

Shivendra Singh Parihar;Simon Thomann;Girish Pahwa;Yogesh Singh Chauhan;Hussam Amrouch

{"title":"Cryogenic In-Memory Computing for Quantum Processors Using Commercial 5-nm FinFETs","authors":"Shivendra Singh Parihar;Simon Thomann;Girish Pahwa;Yogesh Singh Chauhan;Hussam Amrouch","doi":"10.1109/OJCAS.2023.3309478","DOIUrl":"https://doi.org/10.1109/OJCAS.2023.3309478","url":null,"abstract":"Cryogenic CMOS circuits that efficiently connect the classical domain with the quantum world are the cornerstone in bringing large-scale quantum processors to reality. The major challenges are, however, the tight power budget (in the order of milliwatts) and small latency (in the order of microseconds) requirements that such circuits inevitably must fulfill when operating at cryogenic temperatures. In-memory computing (IMC) is rapidly emerging as an attractive paradigm that holds the promise of performing computations efficiently where the data does not need to move back and forth between the CPU and the memory. Hence, it overcomes the fundamental bottleneck in classical von Neumann architectures, which provides considerable savings in power and latency. In this work, for the first time, we propose and implement an end-to-end approach that investigates SRAM-based IMC for cryogenic CMOS. To achieve that, we first characterize commercial 5 nm FinFETs from 300 K down to 10 K. Then, we employ the first cryogenic-aware industry-standard compact model for the FinFET technology (BSIM-CMG) to empower SPICE to accurately capture how cryogenic temperatures alter the electrical characteristics of transistors (e.g., threshold voltage, carrier mobility, sub-threshold slope, etc.). Our key contributions span from (1) carefully calibrating the cryogenic-aware BSIM-CMG against commercial 5 nm FinFET measurements in which SPICE simulations come with an excellent agreement with the experimental data, (2) exploring how the robustness of SRAM cells against noise (during the hold, read, and write operations) changes at extremely low temperatures, (3) investigating how the behavior of SRAM-based IMC circuits changes at 10 K compared to 300 K, and (4) modeling the error probabilities of IMC circuits that are used to calculate the Hamming distance, which is one of the essential similarity calculations to perform classifications.","PeriodicalId":93442,"journal":{"name":"IEEE open journal of circuits and systems","volume":"4 ","pages":"258-270"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/8784029/10019301/10233878.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49910076","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

IEEE Circuits and Systems Society 电气和电子工程师学会电路与系统协会

IEEE open journal of circuits and systems Pub Date : 2023-01-01 DOI: 10.1109/OJCAS.2023.3348969

引用次数: 0

Imitation System of Humanoid Robots and Its Applications 仿人机器人仿真系统及其应用

IEEE open journal of circuits and systems Pub Date : 2023-01-01 DOI: 10.1109/OJCAS.2022.3231097

Ze-Feng Zhan;Han-Pang Huang

{"title":"Imitation System of Humanoid Robots and Its Applications","authors":"Ze-Feng Zhan;Han-Pang Huang","doi":"10.1109/OJCAS.2022.3231097","DOIUrl":"https://doi.org/10.1109/OJCAS.2022.3231097","url":null,"abstract":"In this paper, we propose an imitation system that imitates human motions in videos to plan robot actions that are similar to human motions, with the aim of the complicated whole-body action planning of humanoid robots. Additionally, we created an interaction system that will enable basic human-robot interaction for our humanoid robot. To obtain the 3D coordinates of the key points on the human body, we used the 3D pose estimation model. The key points were then transformed into various trajectory files needed by the robot to complete the motion, using the mapping method proposed in this research, which refers to the control strategy and stability of the robot. In addition, we proposed some post-processing methods to post-process the trajectories. In the interaction system, we created a speech and vision system so that the robot could detect human gestures or postures and converse with people. It also has a music rhythm recognition system developed by seniors that enables the robot to dance to the beats of the song. Finally, through this system, we completed several human-robot interaction scenarios, which proved the convenience, and effectiveness of motion planning with an imitation system, and the completeness of the interaction system.","PeriodicalId":93442,"journal":{"name":"IEEE open journal of circuits and systems","volume":"4 ","pages":"15-24"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/8784029/10019301/09996134.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49910010","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A 672-nW, 670-nVrms ECG Acquisition AFE With Noise-Tolerant Heartbeat Detector 一个672-nW, 670-nVrms的心电采集AFE与容噪心跳检测器

IEEE open journal of circuits and systems Pub Date : 2023-01-01 DOI: 10.1109/OJCAS.2023.3237839

Yanhan Zeng;Zhixian Li;Weijian Chen;Wei Zhou;Yuchen Bao;Yongsen Chen;Yongfu Li

{"title":"A 672-nW, 670-nVrms ECG Acquisition AFE With Noise-Tolerant Heartbeat Detector","authors":"Yanhan Zeng;Zhixian Li;Weijian Chen;Wei Zhou;Yuchen Bao;Yongsen Chen;Yongfu Li","doi":"10.1109/OJCAS.2023.3237839","DOIUrl":"https://doi.org/10.1109/OJCAS.2023.3237839","url":null,"abstract":"This paper presents an electrocardiogram acquisition analog front-end (AFE) with a noise tolerant heartbeat (HB) detector. Source degradation and transconductance bootstrap techniques are incorporated into the AFE to reduce the 1/f noise of the amplifier. Furthermore, the chopper modulation, DC-servo loop (DSL) and pre-charge technology are combined to reduce interference from the environment. A mixed-signal implementation of HB detector with the symmetric-comparison loop is proposed to reduce the power consumption and area, which also suppresses motion artifact interference by adaptive thresholds. Implemented in <inline-formula> <tex-math notation=\"LaTeX\">$0.18 ~mu text{m}$ </tex-math></inline-formula> CMOS process, the circuit only occupies an area of <inline-formula> <tex-math notation=\"LaTeX\">$0.122 mm^{2}$ </tex-math></inline-formula> and consumes <inline-formula> <tex-math notation=\"LaTeX\">$0.62 ~mu text{W}$ </tex-math></inline-formula> at a 1.2-V supply, of which AFE and HB detector consume 507 nW and 110 nW, respectively. Simulation results show that the gain and the CMRR of AFE range from 30–45 dB and 65–105 dB, respectively. The input-referred noise is 670 nVrms with a mid-band gain of 42 dB and a bandwidth ranging from 0.5 Hz to 1 kHz.","PeriodicalId":93442,"journal":{"name":"IEEE open journal of circuits and systems","volume":"4 ","pages":"25-35"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/8784029/10019301/10020171.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49909915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Study on AC/DC Power Converter Based on Magnetic Coupling Resonance 基于磁耦合共振的交/直流功率变换器研究

IEEE open journal of circuits and systems Pub Date : 2023-01-01 DOI: 10.12677/ojcs.2023.121001

吉飞杜

引用次数: 0