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Automated Forearm Prosthesis Controlling Using Fiber Bragg Grating Sensor

Journal of Microwaves, Optoelectronics and Electromagnetic Applications 2023年第1期22卷 208-218页

作者： Rialto, Péricles Valera Dureck, Eduardo Henrique Kalinowski, Alessandra Zamarreño, Carlos Ruiz Socorro-Leranoz, Abian B. Da Silva, Jean Carlos Cardozo Lazzaretti, André Eugenio Dreyer, Uilian José Graduate Program on Energy Systems Universidade Tecnológica Federal Do Paraná Curitiba80230-901 Brazil Graduate Program in Electrical and Computer Engineering Universidade Tecnológica Federal Do Paraná Curitiba80230-901 Brazil Universidad Publica de Navarra Campus Arrosadia Pamplona31006 Spain

This paper describes the automation of a forearm prosthesis using the signal collected by a Fiber Bragg Grating (FBG) sensor. The FBG sensor is applied to one subject's forearm to measure the deformation as a result of the index and middle fingers when moved individually. It is possible to control a one joint model prosthesis allied to a compliant hand mechanism through signal analyses. Each finger movement has its features, such as its amplitude, which opens the possibility of using those to control different parts of the prosthesis, joint rotation by the middle finger, and compliant hand movement by the index finger. This paper presents results regarding prosthesis assembling, Hypertext Transfer Protocol (HTTP) communication latency between prosthesis and computer and tests with pre-acquired and processed FBG signal data. The prosthesis wrist rotation movement is related to the middle finger signal, and its compliant mechanism actuation is due to index finger signal. The communication between prosthesis and the computer had a mean latency of 140 ms and a standard deviation of 18 ms. The results demonstrate the potential for using the sensor system and automated prosthesis in other applications involving real-time forearm sensing, multi-finger signal analysis, and prosthetic movement. © 2023 SBMO/SBMag.

关键词： Fiber Bragg gratings

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Design of an Area-Efficient and Error-Reduced CMOS Approximate Adder

Design of an Area-Efficient and Error-Reduced CMOS Approxima...

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International SoC Design Conference, ISOCC

作者： Novi Prihatiningrum Jungu Kang Chanyeong Choi Yeongkyo Seo Electrical and Computer Engineering / Program in Semiconductor and Device Inha University Incheon Korea

ISBN: (数字)9798350377088

ISBN: (纸本)9798350377095

Approximate adders have emerged as promising solutions in facilitating error-tolerant computing applications where a degree of imprecision is acceptable. Approximate adders offer significant improvements in terms of area utilization and power consumption compared to their exact counterparts. This paper proposes a novel design of an 8-bit CMOS approximate adder that utilizes a 6-bit least significant inaccurate sub-adder using approximate full adder (AFA) and copy adder with an error reduction unit (ERU). The implementation results demonstrate that our proposed approximate adder improves area, power, and delay by up to 20%, 9%, and 24%, respectively compared to the conventional AFA-based 8-bit adder while maintaining a low MED of 9.57.

关键词： Deep learning Power demand Image processing CMOS technology Delays Adders

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Localization and Perception for Control of a Low Speed Autonomous Shuttle in a Campus Pilot Deployment

arXiv

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arXiv 2024年

作者： Wen, Bowen Graduate Program in Electrical and Computer Engineering The Ohio State University United States

Future SAE Level 4 and Level 5 autonomous vehicles will require novel applications of localization, perception, control and artificial intelligence technology in order to offer innovative and disruptive solutions to current mobility problems. Accurate localization is essential for self driving vehicle navigation in GPS inaccessible environments. This thesis concentrates on low speed autonomous shuttles that are mainly utilized for university campus intelligent transportation systems and presents initial results of ongoing work on developing solutions to the localization and perception challenges of a university planned pilot deployment orientated application. The paper treats autonomous driving with real time kinematics GPS (Global Positioning Systems) with an inertial measurement unit (IMU), combined with simultaneous localization and mapping (SLAM) with three-dimensional light detection and ranging (LIDAR) sensor, which provides solutions to scenarios where GPS is not available or a lower cost and hence lower accuracy GPS is desirable. The in-house automated low speed electric vehicle from the Automated Driving Lab is used in experimental evaluation and verification. An improved version of Hector SLAM was implemented on ROS and compared with high resolution GPS aided localization framework in the same hardware architecture. The overall configuration that combines ROS with DSpace controller can be easily transplantable prototype in other hardware architectures for future similar research. Real-world experiments that are reported here have been conducted in a small test area close to the Ohio State University AV pilot test route. are used for demonstrating the feasibility and robustness of this approach to developing and evaluating low speed autonomous shuttle localization and perception algorithms for control and decision making. © 2024, CC BY.

关键词： Global positioning system

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Deciphering DNA variant-associated aberrant splicing with the aid of RNA sequencing (vol 55, pg 732, 2023)

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NATURE GENETICS 2023年第7期55卷 1251-1251页

作者： Zhang, Bin Gao, Xin Computer Science Program Computer Electrical and Mathematical Sciences and Engineering Division King Abdullah University of Science and Technology (KAUST) Thuwal Saudi Arabia KAUST Computational Bioscience Research Center King Abdullah University of Science and Technology Thuwal Saudi Arabia

Aberrant RNA splicing events resulting from DNA variations are common causes of genetic disorders. Two studies published in Nature Genetics independently describe methods to decipher DNA-variant-associated aberrant sp... 详细信息

关键词： Data mining High-throughput screening

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A Case Study on Energy Consumption Trends and Demand Reduction Strategies at an Urban Campus

A Case Study on Energy Consumption Trends and Demand Reducti...

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Annual North-American Power Symposium

作者： Nicole Mejia Arias Gianna Cameron Saurav Basnet Program in Electrical and Computer Engineering Wentworth Institute of Technology Boston MA USA

ISBN: (数字)9798331521035

ISBN: (纸本)9798331521042

This study examines peak energy demands across campus buildings, assesses demand charges, and explores strategies to reduce energy consumption. Despite increased energy usage in 2023, demand charges were lower than in 2022. This decrease is attributed to advanced energy management strategies, the adoption of efficient technologies such as LED lighting, and participation in demand response programs. These initiatives have resulted in significant cost savings and enhanced energy management at Wentworth Institute of technology.

关键词： Energy consumption Costs Buildings Lighting Market research Light emitting diodes Demand response Energy management North America

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Automatic Cataract and Cholesterol Detection System Based on Recurrent Neural Network (RNN): A Comparison with Convolutional Neural Network (CNN) and Siamese Neural Network (SNN) 1

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19th International Conference of Intelligent Unmanned Systems, ICIUS 2023

作者： Lie, Zener S. Widodo, Jatmiko A. F. Hanesi, Isabel K. P. Moningka, Matthew R. N. Mariana, Y. Astuti, Winda Akmeliawati, Rini Automotive and Robotics Program Computer Engineering Department BINUS ASO School of Engineering Bina Nusantara University Jakarta11480 Indonesia Product Design program Industrial Engineering Department BINUS ASO School of Engineering Bina Nusantara University Jakarta11480 Indonesia Robotics and Automation Research Group School of Electrical and Mechanical Engineering The University of Adelaide North Terrace Campus Adelaide Australia

ISBN: (数字)9789819765911

ISBN: (纸本)9789819765904

In Indonesia, the majority of blindness cases, approximately 81%, are attributed to cataract. Additionally, 35% of the population has higher cholesterol levels than the standard normal range. The lack of specialized medical equipment, such as the slit-lamp (Ruparelia in Dalhousie Med J 49(1), [1]) bio-microscope, and trained professionals, especially in rural areas, make it difficult to detect these conditions through eye examinations. To address this issue, a supervised machine learning method, the Recurrent Neural Network (RNN), has been utilized to create an iris scanner system that can identify cataract and high cholesterol in a patient. This system will classify eyes into three categories, i.e., cataract, high cholesterol, and normal iris. The computer simulations indicate that this technique is more accurate and requires less training time compared to the existing Convolutional Neural Network (ANN) and Siamese Neural Network (SNN)-based method, while achieving 100% accuracy. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Convolutional neural networks

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Advanced technologies in InGaN micro-LED fabrication to mitigate the sidewall effect

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光：科学与应用（英文版） 2025年第2期14卷 307-332页

作者： Zhiyuan Liu Haicheng Cao Xiao Tang Tingang Liu Yi Lu Zixian Jiang Na Xiao Xiaohang Li Advanced Semiconductor Laboratory Electrical and Computer Engineering ProgramCEMSE DivisionKing Abdullah University of Science and Technology(KAUST)Thuwal 23955-6900Kingdom of Saudi Arabia

The size of InGaN micro-LEDs is continuously decreasing to meet the demands of various emerging applications,especially in tiny micro-displays such as AR/***,the conventional pixel definition based on plasma etching significantly damages the mesa sidewalls,leading to a severe reduction in efficiency as the micro-LED size *** seriously impedes the development and application of *** this work,we comprehensively explain the origin of micro-LED sidewall effects and corresponding physical ***,we systematically review recent progress in micro-LED fabrication aiming at suppressing sidewall ***,we discuss advancements in micro-LED fabrication with"damage-free"techniques,which hold the potential to fundamentally address the issue of plasma damage in the micro-LED *** believe this review will deepen the understanding of micro-LED sidewall effects and provide a better insight into the latest associated fabrication technologies for high-efficient InGaN micro-LEDs.

关键词： technologies micro-led advanced ingan effect fabrication mitigate sidewall

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Silicon-Based Charge Trapping Memory Devices for Next-Generation Flexible Electronics Application

IEEE Journal on Flexible Electronics

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IEEE Journal on Flexible Electronics 2023年第5期2卷 408-413页

作者： Das, Uttam Kumar Aslam, Nabeel Hussain, Muhammad Mustafa El-Atab, Nazek Program of ECE Computer Electrical Mathematical Science and Engineering Division Thuwal23955 Saudi Arabia KAUST Core Labs Thuwal23955 Saudi Arabia Purdue University Elmore Family School of ECE West LafayetteIN47907 United States

Silicon-based charge trapping memory (CTM) devices currently dominate the nonvolatile memory (NVM) technology due to their excellent reliability, scalability, and maturity of the manufacturing process;however, they are rigid, which limits their potential in futuristic applications, such as wearables and flexible displays, among many others;moreover, the majority of previously reported studies on flexible NVM have been limited to either nonsilicon-based CTM or to emerging NVM technologies, such as ferroelectric random access memory and memristors, among others, which still need to overcome different challenges, including, but not limited to, reliability issues and complementary metal-oxide-semiconductor (CMOS) compatibility. In this article, a flexible silicon-based CTM device is developed using a volumetric reduction process. A MOS memory structure with a 7-nm thin Si3N4 layer embedded between 5-nm tunneling (SiO2) and 9-nm blocking oxides (Al2O3) is first fabricated. Next, a backside sequential etching process transforms the rigid die into an ultrathin (20μm) flexible Si die for future application in flexible electronics. The fabricated two-terminal device exhibits a 2.32 V memory window in both rigid and bent states, as observed using capacitance-voltage measurements. A three-terminal version of the device was also developed, where the source and drain terminals were activated using an in situ doped plasma-enhanced CVD (PECVD) process. The flexible encapsulated chip was tested using current-voltage measurements, and the performance was compared at different mechanical bending conditions. The electrical characterization confirms that the flexible devices show similar endurance (104 cycles) and retention (105s) performances to their rigid counterparts. © 2022 IEEE.

关键词： Aluminum oxide

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Automated classification of renal tumors on ultrasound images using deep neural network 9

Automated classification of renal tumors on ultrasound image...

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9th International Conference on Intelligent Informatics and BioMedical Sciences, ICIIBMS 2024

作者： Wu, Wei-Chieh Chiang, Te-Mei Tsai, Zhi-Ren Asia University Program in Artificial Intelligence College of Information and Electrical Engineering Taichung City Taiwan Asia University Hospital Department of Radiation Oncology Taichung City Taiwan Asia University Department of Computer Science & Information Engineering Taiwan

ISBN: (纸本)9798350363043

Kidney cancer is one of the most common cancers worldwide. The major types of malignant renal tumors are renal cell carcinoma and urothelial carcinoma. Although the majority of renal tumors are malignant, up to 20% are benign, most commonly renal cyst and angiomyolipomas. Ultrasound is the most accessible imaging tool in medical practice, but it highly depends on operator skill, which may lead to high false-negative rate in diagnosis. The purpose of this study was to develop a predictive model for the automated classification of renal tumors on ultrasound images using deep neural network. A total of 880 kidney ultrasound images were used for training and testing. Transfer learning was used to the ten Convolution neural network models. The kidney ultrasound images were classified as benign or malignant tumors. The classification performance of the model was evaluated by sensitivity and specificity. The research results show that VGG18 yielded the best performance, with a sensitivity of 79%, and a specificity of 86%. © 2024 IEEE.

关键词： Ultrasonic imaging

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An Efficient Formulation for Optimal Placement of Capacitor Banks in Distribution Feeders Connected to Time-Varying Loads 4

An Efficient Formulation for Optimal Placement of Capacitor ...

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4th Annual IEEE Kansas Power and Energy Conference, KPEC 2023

作者： Mahdavi, Meisam Awaafo, Augustine Schmitt, Konrad Chamana, Manohar University of Jaén Department of Electrical Engineering Jaén Linares Spain Texas Tech University Electrical and Computer Engineering Department LubbockTX United States Texas Tech University Renewable Energy Program Lubbock United States

ISBN: (纸本)9798350335408

The capacitor placement in radial feeders is an efficient way to mitigate energy losses of distribution networks, where the power converted to useless heat is much higher than transmission system. These considerable power losses increase network operating costs and also decrease quality and quantity of delivered power. Shunt capacitors by compensating part of load reactive power reduce magnitude of feeder current and subsequent distribution losses. However, electricity demand variations with time affects power distributed through feeders and therefore have important role in energy losses determination. Thus, load variability may change the optimal places of capacitors, but considering whole load variations substantially increases the burden and computational time of capacitor placement problem in large-sized distribution systems. Therefore, current study poses an effective capacitor placement formulation for energy loss reduction in the presence of time-varying loads. The numerical results analysis demonstrates the good performance of the presented framework for the optimal placement of capacitor banks in radial distribution feeders with variable loads. © 2023 IEEE.

关键词： Energy dissipation

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