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Research, Invention, and Innovation Congress (RI2C)

作者： Sakorn Mekruksavanich Ponnipa Jantawong Anuchit Jitpattanakul Department of Computer Engineering School of Information and Communication Technology University of Phayao Phayao Thailand Department of Mathematics Faculty of Applied Science Intelligent and Nonlinear Dynamic Innovations Research Center King Mongkut's University of Technology North Bangkok Bangkok Thailand

Exoskeletons created by robotics currently hold significant potential for improving the well-being and quality of life for manufacturing laborers. However, the effectiveness of existing solutions is often hindered by inadequate control systems. The limited adoption of exoskeletons in occupational settings can be attributed to their inability to adapt to users and tasks, which is a result of the constantly changing circumstances in which they are utilized. To address this issue, wearable sensors capable of being carried on the human body can employ learning-based methodologies to anticipate and classify user motion characteristics by training on extensive datasets. This study introduces a deep learning approach that utilizes inertial sensors to equip manufacturing exoskeletons with the ability to recognize human movements and adjust for payload compensation. Inertial measurement equipment can be conveniently integrated into manufacturing exoskeletons through either wearable or embeddable means. A deep residual network was employed for human action identification and categorization of lifted object weights up to 15 kg. The study achieved an average F1-score of 93.91% for activity identification and 94.35% for payload classification using the provided model. The model was trained and tested on a sample of 12 young, healthy volunteers.

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SYNAPSE: An international roadmap to large brain imaging

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Physics Reports 2023年 999卷 1-60页

作者： Stampfl, Anton P.J. Liu, Zhongdong Hu, Jun Sawada, Kei Takano, H. Kohmura, Yoshiki Ishikawa, Tetsuya Lim, Jae-Hong Je, Jung-Ho Low, Chian-Ming Teo, Alvin Tok, Eng Soon Tan, Tin Wee Ban, Kenneth Libedinsky, Camilo Tan, Francis Chee Kuan Chen, Kuan-Peng Yang, An-Cheng Chuang, Chao-Chun Chen, Nan-Yow Shih, Chi-Tin Lee, Ting-Kuo Yang, De-Nian Lai, Hsu-Chao Shuai, Hong-Han Cheng, Chang-Chieh Ching, Yu-Tai Li, Chia-Wei Charng, Ching-Che Lo, Chung-Chuan Chiang, Ann-Shyn Recur, Benoit Petibois, Cyril Cheng, Chia-Liang Chen, Hsiang-Hsin Yang, Shun-Min Hwu, Yeukuang Rojviriya, Catleya Rugmai, Supagorn Rujirawat, Saroj Margaritondo, Giorgio Australian Nuclear Science and Technology Organization Lucas Heights 2234 NSW Australia Henan university of Technology Zhengzhou China Shanghai Institute of Applied Physics Chinese Academy of Science Shanghai China RIKEN SPring-8 Center Hyogo 679-5148 Japan Pohang Accelerator Laboratory Pohang University of Science and Technology Pohang Gyeongbuk 37673 South Korea Department of Materials Science and Engineering Pohang University of Science and Technology Gyeongbuk Pohang 37673 South Korea Department of Pharmacology Department of Anaesthesia and Healthy Longevity Research Programme Yong Loo Lin School of Medicine National University of Singapore Singapore School of Chemical and Life Sciences Nanyang Polytechnic Singapore eMaGIC-Lab Department of Physics National University of Singapore Singapore National Supercomputing Center Singapore Department of Psychology The N1 Institute for Health National University of Singapore Singapore Institute of Molecular and Cell Biology A*STAR Singapore Department of Anaesthesia National University Hospital National University Health System Singapore National Center for High-Performance Computing Hsinchu Taiwan Department of Physics Tunghai University Taichung Taiwan Department of Physics National Tsing Hua University Hsinchu Taiwan Institute of Information Science Academia Sinica Taipei Taiwan Department of Computer Science National Yang Ming Chiao Tung University Hsinchu Taiwan Department of Electronics and Electrical Engineering National Yang Ming Chiao Tung University Hsinchu Taiwan Information Technology Service Center National Yang Ming Chiao Tung University Hsinchu Taiwan National Yang Ming Chiao Tung University Hsinchu Taiwan Department of Life Science National Tsing Hua University Hsinchu Taiwan Institute of Systems Neuroscience and Brain Research Center National Tsing Hua University Hsinchu Taiwan Institute of Physics Academia Sinica Taipei Taiwan Department of Physics National Dong Hwa University

Since 2020, synchrotron radiation facilities in several Asia-Pacific countries have been collaborating in a major project called “SYNAPSE” (Synchrotrons for Neuroscience: an Asia-Pacific Scientific Enterprise). They use x-ray imaging to attack in a coordinated fashion one of the major issues in modern science: the structure of animal and human brains, including neurons and connections. The objective is to develop Google-like maps also including detailed structural and functional information for selected regions of interest. The sheer mass of data needed for the objective poses huge problems for the acquisition, processing, storage and use of images. In order to complete the task within a reasonable time, the key element of the SYNAPSE strategy is the parallel and coordinated work of several facilities on the same specimens. This article reviews different aspects of the enterprise, including the foundations of synchrotron radiation, coherence and of its role in advanced imaging, electron accelerators, x-ray optics and detectors. This will provide the foundation for an extensive presentation of the different components of SYNAPSE, with an overview of results already obtained within the consortium. © 2022

关键词： Brain mapping Phase contrast Radiology Supercomputing Synchrotron X-rays

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Synthesis of MgAl2O4: Sm3+ Nanophosphor and Its Photoluminescence, Electrochemical Sensing, and Photocatalytic Studies

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Advances in Materials science and engineering 2023年第1期2023卷

作者： Manjula, S.N. Chandrasekhar, M. Anil Kumar, M.R. Waqas Alam, Mir Ravikumar, C.R. Murthy, H. C. Ananda Basavaraju, N. Nagabhushana, H. Department of Physics SJR College for Women Rajajinagar Bengaluru India Research Center Department of Science East West Institute of Technology VTU Bangalore560091 India Department of Chemical and Materials Engineering Gina Cody School of Engineering and Computer Science Concordia University MontrealH3G 2W1 Canada Department of Physics College of Science King Faisal University Al-Ahsa31982 Saudi Arabia Department of Applied Chemistry School of Applied Natural Science Adama Science and Technology University P. O. Box 1888 Adama Ethiopia Saveetha University Tamil Nadu Chennai600077 India C.N.R. Rao Center for Advanced Materials Tumkur University Tumkur India

A series of MgAl2O4: Sm3+ nanophosphors were synthesized using oxalyl dihydrazide (ODH) as fuel at low temperature. The X-ray diffraction studies revealed a crystallite size of 20 nm for the nanophosphors. The energy band gap values were found to be in the range from 4.86 to 5.42 eV. Because of distinct f-f transitions from 4F7/2 ← 6P3/2 of Sm3+ ions in the host stimulated at 406 nm, the PL characteristic emission peaks of Sm3+ ions were observed between 406 and 605 nm. The optimized MgAl2O4: Sm3+ phosphors exhibited 97% colour purity and lie in the orange red to yellow area of the CIE diagram. With MgAl2O4: Sm3+ nanophosphors, novel photocatalysts for the elimination of the dye Fast orange red (FOR) have been proved to function at an excited wavelength of 493 nm in UV light. The experiment showed 97.46% dye decolorization, respectively, after 120 min irradiation. Using the carbon paste electrode in the cyclic voltammetry (CV) technique, lead was detected in 0.1N HCl solution (MCPE). The MgAl2O4: Sm3+ nanophosphors are useful sensing material for an element like lead. Finally, we conclude that the synthesized MgAl2O4: Sm3+ nanophosphors are potential candidates for multifunctional applications. © 2023 S. N. Manjula et al.

关键词： Samarium compounds

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Tensor product-based model transformation approach to cart position modeling and control in pendulum-cart systems

Tensor product-based model transformation approach to cart p...

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作者： Hedrea, Elena-Lorena Precup, Radu-Emil Petriu, Emil M. Bojan-Dragos, Claudia-Adina Hedrea, Ciprian Department of Automation and Applied Informatics Politehnica University of Timisoara Timisoara Romania School of Engineering Edith Cowan University JoondalupWA Australia School of Electrical Engineering and Computer Science University of Ottawa OttawaON Canada Department of Mathematics Politehnica University of Timisoara Timisoara Romania

The paper presents the application of the tensor product (TP)-based model transformation technique to model and control the cart position of single-input multi-output pendulum-cart systems (PCSs). The modeling is first carried out. The derived TP model, the nonlinear model of PCS, and the laboratory equipment are tested in the same open-loop scenario, and their corresponding outputs are collected, measured, and compared. The parallel distributed compensation (PDC) technique is next applied to TP-based cart position controller design. A linear state feedback control design is also designed in order to conduct a comparative analysis. The two proposed control system structures are experimentally validated and tested in the same scenarios on the laboratory equipment, and their performance indices are analyzed and compared. © 2021 Chinese Automatic Control Society and John Wiley & Sons Australia, Ltd

关键词： Position control

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Active and STAR-RIS Assisted MIMO ISAC Systems with SWIPT

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IEEE Transactions on Cognitive Communications and Networking 2025年

作者： Yaswanth, Jetti Saikia, Prajwalita Singh, Keshav Kim, Yun Hee Duong, Trung Q. National Sun Yat-sen University Institute of Communications Engineering Kaohsiung Taiwan National Sun Yat-sen University Institute of Communications Engineering Kaohsiung80424 Taiwan Kyung Hee University Department of Electronic Engineering Gyeonggi-do Yongin-si17104 Korea Republic of Department of Electronic Engineering Yongin17104 Korea Republic of Kyung Hee University Department of Electronics and Information Convergence Engineering Yongin17104 Korea Republic of Memorial University Faculty of Engineering and Applied Science St. John'sNLA1C 5S7 Canada Queen's University Belfast School of Electronics Electrical Engineering and Computer Science BelfastBT7 1NN United Kingdom

As an innovative framework for sustainable communication within next-generation networks, reconfigurable intelligent surfaces (RISs) have developed potential transformation in improving simultaneous wireless information and power transfer (SWIPT). Alongside SWIPT, integrated sensing and communication (ISAC) has gained significant attention for its ability to combine communication and sensing functionalities within the same infrastructure, optimizing resource utilization and improving system performance. In this paper, we propose a framework that integrates an active (A-RIS) and simultaneous transmitting and reflecting RIS (STAR-RIS) assisted multiple-input multiple-output (MIMO) technology for SWIPT in an ISAC system. The system consists of an A-RIS, a STAR-RIS, a dual functional base station (DFBS), a group of reflection and transmission communication users (CUs) and reflection and transmission energy receiving devices (EDs), sensing targets simultaneously with the aid of RIS. We formulate an optimization problem to maximize the target rate while balancing the communication rate under energy harvesting (EH) constraints, and phase-shits constraints. It implies the trade-offs between target sensing accuracy and communication performance, demonstrating the potential of RIS to enhance system capabilities in diverse ISAC scenarios. The optimization problem and its constraints are inherently non-convex due to the high coupling between variables. Consequently, we employ the minimum mean square error method to address the non-convex nature of the problem. Thereby, it simplifies the problem by transforming it into a more manageable form and then applying an alternating optimization framework. This framework addresses the design of beamforming challenges at both the DFBS and the RIS (A-RIS/STAR-RIS) separately, by solving them iteratively using general approximation techniques. The analysis highlights the advantages of the proposed ARIS and STAR-RIS assisted SWIPT for ISAC f

关键词： Mean square error

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MULTI-STAGE EPISODIC CONTROL FOR STRATEGIC EXPLORATION IN TEXT GAMES

arXiv

引用

arXiv 2022年

作者： Tuyls, Jens Yao, Shunyu Kakade, Sham Narasimhan, Karthik Department of Computer Science Princeton University United States John A. Paulson School of Engineering and Applied Sciences Harvard University United States

Text adventure games present unique challenges to reinforcement learning methods due to their combinatorially large action spaces and sparse rewards. The interplay of these two factors is particularly demanding because large action spaces require extensive exploration, while sparse rewards provide limited feedback. This work proposes to tackle the explore-vs-exploit dilemma using a multi-stage approach that explicitly disentangles these two strategies within each episode. Our algorithm, called eXploit-Then-eXplore (XTX), begins each episode using an exploitation policy that imitates a set of promising trajectories from the past, and then switches over to an exploration policy aimed at discovering novel actions that lead to unseen state spaces. This policy decomposition allows us to combine global decisions about which parts of the game space to return to with curiosity-based local exploration in that space, motivated by how a human may approach these games. Our method significantly outperforms prior approaches by 27% and 11% average normalized score over 12 games from the Jericho benchmark (Hausknecht et al., 2020) in both deterministic and stochastic settings, respectively. On the game of Zork1, in particular, XTX obtains a score of 103, more than a 2x improvement over prior methods, and pushes past several known bottlenecks in the game that have plagued previous state-of-the-art methods.1 Copyright © 2022, The Authors. All rights reserved.

关键词： Stochastic systems

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Energetic and Smart Design of Battery Management Scheme to Improve the Lifetime of Electric Vehicles

Energetic and Smart Design of Battery Management Scheme to I...

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Sustainable Communication Networks and Application (ICSCNA), International Conference on

作者： V M. Varatharaju Chidambaranathan C M Mamidala Vijay Karthik G. Sathi V. Samuthira Pandi D. Shobana Electrical Section Engineering Department University of Technology and Applied Science Ibra Sultanate of oman Department of Computer Science and Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Tamil Nadu India Department of Electrical & Electronics Engineering CMR Engineering College Hyderabad Telangana India Department of Mechanical Engineering Prince Shri Venkateshwara Padmavathy Engineering College Chennai Tamil Nadu India Centre for Advanced Wireless Integrated Technology Chennai Institute of Technology Chennai Tamil Nadu India Department of Electrical and Electronics Engineering Rajalakshmi Engineering College Chennai Tamil Nadu India

In order to maximize efficiency, electric vehicles use Battery Management Systems (BMS) to manage their rechargeable batteries. The battery's safety and dependability are ensured by the battery management system, and the battery's age is extended without being damaged. Various monitoring methods are used to keep track of the battery pack's charging capacity, voltage-levels, current-ratings and ecological pressure ratio. A variety of analogue and digital sensors are employed with microcontrollers for this purpose. Several powerful batteries have been developed as a result of the tremendous advances in the field of batteries over the past ten years. High-power batteries with suitable battery management systems are essential for the safe and reliable operation of Electric Vehicles (EVs). This paper will address the power sources utilized by electric automobiles and the primary problems of battery control systems, as well as compare both the lithium ion battery as well as the metal based nickel-hydride batteries in regards to growing older along with the impact caused by climate through the use of the State-of-Charge (SOC) and closed device electricity. This study's goal is to compare and contrast different intelligence techniques along with the control methods used in electric vehicle battery management platforms. The study assesses the characteristics, structure, configuration, accuracy, benefits, and downsides of intelligent algorithms for estimating the condition of a battery. Focusing on parts, characteristics, aims, outcomes, advantages, and restrictions, this research analyses the various controllers used for warming, cooling, balancing, and protecting batteries.

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Optimal Reordering Trace Files for Improving Software Testing Suitcase

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computers, Materials & Continua 2021年第4期67卷 1225-1239页

作者： Yingfu Cai Sultan Noman Qasem Harish Garg Hamïd Parvïn Kim-Hung Pho Zulkefli Mansor School of Measurement and Communication Harbin University of Science&TechnologyHarbinChina Computer Science Department College of Computer and Information SciencesAl Imam Mohammad Ibn Saud Islamic University(IMSIU)RiyadhSaudi Arabia Department of Computer Science Faculty of Applied ScienceTaiz UniversityTaizYemen School of Mathematics Thapar Institute of Engineering and TechnologyDeemed UniversityPatiala147004India Institute of Research and Development Duy Tan UniversityDa Nang550000Vietnam Faculty of Information Technology Duy Tan UniversityDa Nang550000Vietnam Department of Computer Science Nourabad Mamasani BranchIslamic Azad UniversityMamasaniIran Fractional Calculus Optimization and Algebra Research GroupFaculty of Mathematics and StatisticsTon Duc Thang UniversityHo Chi Minh CityVietnam Fakulti Teknologi dan Sains Maklumat Universiti Kebangsan MalaysiaUKM BangiSelangor43600Malaysia

An invariant can be described as an essential relationship between program *** invariants are very useful in software checking and *** tools that are used to detect invariants are invariant *** are two types of invariant detectors:dynamic invariant detectors and static invariant *** software is an available computer program that implements a special case of a dynamic invariant detection *** proposes a dynamic invariant detection algorithm based on several runs of the tested program;then,it gathers the values of its variables,and finally,it detects relationships between the variables based on a simple statistical *** method has some *** of its biggest drawbacks is its overwhelming time *** is observed that the runtime for the Daikon invariant detection tool is dependent on the ordering of traces in the trace file.A mechanism is proposed in order to reduce differences in adjacent trace *** is done by applying some special techniques of mutation/crossover in genetic algorithm(GA).An experiment is run to assess the benefits of this *** findings reveal that the runtime of the proposed dynamic invariant detection algorithm is superior to the main approach with respect to these improvements.

关键词： Dynamic invariant detection software testing genetic algorithm

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Improving Inertial Sensor-based Human Activity Recognition using Ensemble Deep Learning

Improving Inertial Sensor-based Human Activity Recognition u...

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International ECTI Northern Section Conference on Electrical, Electronics, computer and Telecommunications engineering (ECTI-NCON)

作者： Pornthep Rojanavasu Ponnipa Jantawong Anuchit Jitpattanakul Sakorn Mekruksavanich Department of Computer Engineering School of Information and Communication Technology University of Phayao Phayao Thailand Department of Mathematics Faculty of Applied Science King Mongkut's Intelligent and Nonlinear Dynamic Innovations Research Center University of Technology North Bangkok Bangkok Thailand

Sensor-based human activity recognition (S-HAR) is a famous study focusing on detecting human physiological actions by interpreting various sensors, especially one-dimensional time series information. Typically, S-HAR machine learning methods were developed using handcrafted characteristics. Unfortunately, this is a complicated process that involves feature engineering and a high level of domain knowledge. Due to the development of deep neural networks, classification techniques could efficiently handle relevant characteristics from raw sensor data, resulting in enhanced classification outcomes. In this study, we describe a unique method for S-HAR based on ensemble deep learning with sensor nodes connected to the waist, chest, leg, and arm. Implementing and training three deep learning networks is performed using a publically available dataset, including wearable sensors from eight human actions. The findings demonstrate that the proposed Ens-ResNeXt model provides the maximum accuracy and F1-score, which is superior to existing techniques.

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Ferroelectric AlBN Films by Molecular Beam Epitaxy

arXiv

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arXiv 2024年

作者： Savant, Chandrashekhar Gund, Ved Nomoto, Kazuki Maeda, Takuya Jadhav, Shubham Lee, Joongwon Ramesh, Madhav Kim, Eungkyun Nguyen, Thai-Son Chen, Yu-Hsin Casamento, Joseph Rana, Farhan Lal, Amit Xing, Huili Grace Jena, Debdeep Department of Materials Science and Engineering Cornell University IthacaNY14853 United States School of Electrical and Computer Engineering Cornell University IthacaNY14853 United States Kavli Institute Cornell for Nanoscale Science Cornell University IthacaNY14853 United States School of Applied and Engineering Physics Cornell University IthacaNY14853 United States

We report the properties of molecular beam epitaxy deposited AlBN thin films on a recently developed epitaxial nitride metal electrode Nb2N. While a control AlN thin film exhibits standard capacitive behavior, distinct ferroelectric switching is observed in the AlBN films with increasing Boron mole fraction. The measured remnant polarization Pr ∼ 15 µC/cm2 and coercive field Ec ∼ 1.45 MV/cm in these films are smaller than those recently reported on films deposited by sputtering, due to incomplete wake-up, limited by current leakage. Because AlBN preserves the ultrawide energy bandgap of AlN compared to other nitride hi-K dielectrics and ferroelectrics, and it can be epitaxially integrated with GaN and AlN semiconductors, its development will enable several opportunities for unique electronic, photonic, and memory devices. © 2024, CC BY-NC-ND.

关键词： III-V semiconductors

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