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IEEE/ASME (AIM) International Conference on Advanced Intelligent Mechatronics

作者： Kenichi Murakami Koki Ishimoto Taku Senoo Masatoshi Ishikawa Data Science Research Division Information Technology Center The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo Japan Department of Information Physics and Computing The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo Japan Electrical Systems and Control Engineering Program Graduate School of Advanced Science and Engineering Hiroshima University 1-4-1 Kagamiyama Higashi-Hiroshima City Hiroshima Japan

ISBN: (数字)9781728167947

ISBN: (纸本)9781728167954

In this study, the inner position loop addition for plastic deformation control of the error robustness of the model and actual parameters is proposed. The inner position loop is a type of position feedback control based on the estimation of model parameters and dynamics of robots. This position control system with proportional and derivative gains modifies the trajectory of the end effector close to the desired trajectory. The robustness of the proposed control scheme is evaluated by comparing it with plastic deformation control without an inner position loop in both simulation and actual environments. Finally, the stable reaction with the proposed control is demonstrated for the case where a human pushes the robot finger.

关键词： Strain Plastics Force Deformable models Robots Friction Trajectory

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A Comparative Analysis between Particle Swarm Optimization and Mathematical programming for Optimal Location of Maintenance Facilities

A Comparative Analysis between Particle Swarm Optimization a...

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2019 IEEE PES Conference on Innovative Smart Grid Technologies, ISGT Latin America 2019

作者： Filho, Paulo M. O. Borba, Bruno S. M. C. Ferreira, Vitor H. Tavares, Rafael V. Queiroga, Eduardo Silva, João Marcos P. Uchoa, Eduardo Bergiante, Níssia C. R. Salgado Moreira, Bernardo Coelho MacHado, Pedro Henrique Universidade Federal Fluminense Electrical Engineering Department Niterói Brazil Universidade Federal Fluminense Computing Institute Niterói RJ Brazil Univeridade Federal da Paraíba Industrial Engineering Graduate Program João Pessoa PB Brazil Universidade Federal Fluminense Industrial Engineering Department Niterói RJ Brazil Energisa Distribuição Cuiabá MT Brazil Energisa Tocantins Palmas TO Brazil

ISBN: (纸本)9781538695678

This paper addresses the problem of maintenance facilities (depot) location in electric power distribution systems with a focus on strategic planning. Power interruptions can be harmful for both society and distribution companies. Determining the optimal number and sites of depot location to handle power interruptions in the long term can improve the quality of service. Through a good depot location, the distance from depots to work orders (WO) is minimized, operational costs can be minimized and customer interruption duration is reduced, which is a good indicator of the reliability of the system. The problem was solved by a Particle Swarm Optimization (PSO) algorithm and a Mixed Integer Linear programming (MILP) model. In addition to the real instance, some synthetic ones were generated to compare both approaches in large-sized scenarios. The computational results show that the two approaches are complementary strategies, being presented the scenarios where each proposal could provide better results. © 2019 IEEE.

关键词： Electric power distribution

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Valley notch filter in a graphene strain superlattice: a Green’s function and machine learning approach

arXiv

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arXiv 2019年

作者： Torres, V. Silva, P. De, E.A.T. Souza Silva, L.A. Bahamon, D.A. Instituto de Física Universidade Federal Fluminense Niterói Av. Litorânea sn RJ24210-340 Brazil MackGraphe Mackenzie Presbyterian University Rua da Consolação 930 SP01302-907 Brazil School of Computing and Informatics Graduate Program in Electrical Engineering and Computing

The valley transport properties of a superlattice of out-of-plane Gaussians deformations are calculated using a Green’s function and a Machine Learning approach. Our results show that periodicity significantly improves the valley filter capabilities of a single Gaussian deformation, these manifest themselves in the conductance as a sequence by valley filter plateaus. We establish that the physical effect behind the observed valley notch filter is the coupling between counter-propagating transverse modes;the complex relationship between the design parameters of the superlattice and the valley filter effect make difficult to estimate in advance the valley filter potentialities of a given superlattice. With this in mind, we show that a Deep Neural Network can be trained to predict valley transmission with a precision similar to the Green’s function but with much less computational effort. Copyright © 2019, The Authors. All rights reserved.

关键词： Landforms

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Interpretable Independent Recurrent Networks for Forecasting Stroke in Atrial Fibrillation

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JACC. Asia 2025年

作者： Jung-Chi Hsu Yi-Hsien Hsieh Yen-Yun Yang Shu-Lin Chuang Che Lin Lian-Yu Lin Department of Internal Medicine National Taiwan University Hospital Jinshan Branch New Taipei City Taiwan Division of Cardiology Department of Internal Medicine National Taiwan University Hospital and College of Medicine Taipei Taiwan. Graduate Institute of Communication Engineering National Taiwan University Taipei Taiwan. Department of Medical Research National Taiwan University Hospital Taipei Taiwan. Graduate Institute of Communication Engineering National Taiwan University Taipei Taiwan Department of Electrical Engineering National Taiwan University Taipei Taiwan Center for Advanced Computing and Imaging in Biomedicine National Taiwan University Taipei Taiwan Smart Medicine and Health Informatics Program National Taiwan University Taipei Taiwan. Electronic address: chelin@ntu.edu.tw. Division of Cardiology Department of Internal Medicine National Taiwan University Hospital and College of Medicine Taipei Taiwan Smart Medicine and Health Informatics Program National Taiwan University Taipei Taiwan Cardiovascular Center National Taiwan University Hospital Taipei Taiwan Department of Internal Medicine National Taiwan University Hospital Yunlin Branch Yunlin Taiwan. Electronic address: hspenos@***.

BACKGROUND:Atrial fibrillation (AF) is a major risk factor for transient ischemic attack (TIA)/ischemic stroke (IS). OBJECTIVES:Given the dynamic nature of IS risk, this study aimed to predict IS risk in AF patients using a high-dimensional time-series model. METHODS:We conducted a cohort study at the National Taiwan University Hospital from 2014 to 2019, including 7,710 AF patients, with external validation in 6,822 patients from the National Taiwan University Hospital Yunlin Branch. The Forecasting Strokes via Interpretable Independent Networks (ForeSIIN) model, based on gated recurrent units, was proposed. Kaplan-Meier analysis with log-rank test evaluated risk group differences. RESULTS:The annual TIA/IS incidence rate ranged from 181.96 (95% CI: 164.42-200.93) to 15.81 (95% CI: 12.38-20.18) per 1,000 person-years, with an overall incidence of 42.40 (95% CI: 39.60-45.39). The ForeSIIN model achieved the best prediction with an area under the receiver-operating characteristics curve of 0.764 (95% CI: 0.722-0.810), compared with the CHADS-VASc score (AUC: 0.650; 95% CI: 0.596-0.699) and other nonsequential models: extreme gradient boosting AUC: 0.722 (95% CI: 0.676-0.769), support vector machine AUC 0.691 (95% CI: 0.637-0.741), random forest AUC: 0.689 (95% CI: 0.637-0.742). External validation showed area under the receiver-operating characteristics curve of 0.646 (95% CI: 0.618-0.671) and area under the precision-recall curve of 0.222 (95% CI: 0.184-0.259). Feature impact analysis identified the top 5 factors: history of TIA/IS, estimated glomerular filtration rate, C-reactive protein, hematocrit, and plasma fasting glucose. Kaplan-Meier analysis showed significant risk differences between ForeSIIN groups (log-rank P < 0.001). CONCLUSIONS:The innovative ForeSIIN model demonstrated accurate stroke prediction in AF patients and enhanced the interpretation of dynamic risk factors over time.

关键词： atrial fibrillation explainable artificial intelligence gated recurrent unit recurrent neural network (RNN) stroke

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An Energy Efficient Mesh LNN Routing Protocol Based on Ant Colony optimization

An Energy Efficient Mesh LNN Routing Protocol Based on Ant C...

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IEEE International Conference on Industrial Informatics (INDIN)

作者： Vinícius de Figueiredo Marques Janine Kniess Rafael Stubs Parpinelli Graduate Program in Applied Computing Santa Catarina State University Joinville SC Brazil

Low-power and Lossy network (LNN) is commonly deployed in Internet of Things applications. It consists of a considerable amount of devices, also known as motes, with sensory capacity and wireless connectivity deployed in a wide geographical area. Such devices face limitations in terms of energy, memory and processing. A common topology in LNN is a mesh-like one. The communication between nodes often happens in a multi-hop fashion due to their limited transmission range. There is a need of efficient routing protocols, in terms of energy consumption. The present paper depicts a routing algorithm based on ant colony optimization. It also shows details about its implementation in the Contiki OS network system and analysis of its performance in comparison with the default Contiki's mesh routing protocol. Results shown that the proposed algorithm had a better performance in terms of packet delivery rate, duty cycling and energy consumption.

关键词： Routing protocols Energy consumption Routing Measurement Mathematical model Ant colony optimization Wireless sensor networks

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High-Performance Metal-Ferroeletric-Semiconductor Nanosheet Line Tunneling Field Effect Transistors with Strained SiGe

High-Performance Metal-Ferroeletric-Semiconductor Nanosheet ...

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International Conference on Simulation of Semiconductor Processes and Devices (SISPAD)

作者： Narasimhulu Thoti Yiming Li Sekhar Reddy Kola Seiji Samukawa Parallel and Scientific Computing Laboratory 1001 Ta-Hsueh Rd. Hsinchu Taiwan EECS International Graduate Program 1001 Ta-Hsueh Rd. Hsinchu Taiwan Institute of Communications Engineering 1001 Ta-Hsueh Rd. Hsinchu Taiwan National Chiao Tung University 1001 Ta-Hsueh Rd. Hsinchu Taiwan Institute of Fluid Science Tohoku University 1001 Ta-Hsueh Rd. Sendai Japan

ISBN: (数字)9784863487635

ISBN: (纸本)9781728173542

Nanosheet line tunnel-field effect transistors (NLTFETs) are for the first time proposed by utilizing the advantages of ferroelectricity through HZO materials. Three ferroelectric line TFETs have been proposed and investigated. Among these, the metal-ferroelectric-semiconductor (MFS) structure has shown superior performance than the other two variants. The factors of electric field and electron barrier tunneling have been addressed to govern the performance of these structures. In addition, the effects of the ferroelectric (Hf 0.5 Zr 0.5 O 2 ) thickness (t FE ) and the dielectric constant have been discussed. The MFS NLTFETs can effectively utilize the advantages of ferroelectric than the other variants. High on-current of 175.6 μA/μm and low off-current of 38.4 aA/μm are achieved at t FE of 4 nm through proper utilization of gate-overlap on to the drain side. Furthermore, the proposed MFS structure successfully delivers low average and minimum subthreshold swings even at very thin t FE .

关键词： Performance evaluation TFETs Tunneling Nanoscale devices Semiconductor process modeling Electric fields Silicon germanium

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Analysis of positional and geometric accuracy of objects in survey with unmanned aerial vehicle (UAV) 38

Analysis of positional and geometric accuracy of objects in ...

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38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018

作者： Soares, Gabriel Inocencio, Leonardo Campos Veronez, Maurício Roberto Da Silveira, Luiz Gonzaga Bordin, Fabiane Marson, Fernando Pinho Advanced Visualization and Geoinformatics Laboratory UNISINOS São Leopoldo RS Brazil Graduate Program on Applied Computing UNISINOS Av. UNISINOS 950 São Leopoldo RS93022-000 Brazil

ISBN: (纸本)9781538671504

This study aimed the analysis of the positional and geometric accuracy of objects in orthomosaics obtained through different unmanned aerial vehicle (UAV) data processing software covering an area located within Universidade do Vale do Rio dos Sinos - UNISINOS in São Leopoldo, RS. A total of nine ground control points (GCP) and twenty checkpoints were surveyed in order register and classify the processed orthomosaics according to the cartographic accuracy standard - Padrão de Exatidão Cartográfica (PEC). Four software was employed to process the UAV data: Pix4D mapper, Agisoft PhotoScan, Menci APS and Bentley Context Capture. The results obtained from each software were compared and identified the smallest distortions when processing with and without ground control points. The flight was executed at a height of 90m with 60% sidelap and 80% overlap using an ST800 UAV equipped with a Sony NEX-7 small format non-metric camera with 24 megapixels resolution. The software GeoPEC was used to classify the orthomosaics according to PEC. For data processed with ground control points all orthomosaics were classified “Class A” in 1/500 scale, however, only Menci APS did not present a trend line via t-student test. On the other hand, Menci APS presented the worst results without the ground control points. In processing with GCP, all orthomosaics obtained optimum results with an approximated error of 2,5 m2 about 0,03% of the area. © 2018 IEEE

关键词： Cartographic Accuracy Standard Ground Control Points Orthomosaic Unmanned Aerial Vehicle

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Comparative Study of Masking and Mapping Based on Hierarchical Extreme Learning Machine for Speech Enhancement

Comparative Study of Masking and Mapping Based on Hierarchic...

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IEEE International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)

作者： Ryandhimas E. Zezario Join W. C. Sigalingging Tassadaq Hussain Jia-Ching Wang Yu Tsao Research Center for Information Technology Innovation Academia Sinica Taipei Taiwan National Central University Taoyuan Taiwan Taiwan International Graduate Program in Social Network and Human-Centered Computing Institute of Information Science Academia Sinica Taipei Taiwan

In this study, we compare the speech enhancement performance based on hierarchical extreme learning machine (HELM) with two distinct strategies: masking and mapping. Experimental results of the perceptual evaluation of speech quality (PESQ) show that for both of limited and sufficient amounts of training data, mapping-based HELM tends to be more effective to improve the performance of speech enhancement.

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Mobile application to track people in covid19 monitoring and patients under covid19 supervision

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IOP Conference Series: Earth and Environmental Science 2021年第1期729卷

作者： A Chrysler H L H S Warnars W H Utomo Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department BINUS Graduate Program – Doctor of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Department of Magister Science of Information Technology Faculty of Computing President University Bekasi Indonesia 17550

It is crucial for the community including the government and health workers to collaborate to halt the spread of Covid-19. The idea of developing the mobile application surfaced from the previous findings. Previous researches have implemented and developed different features to better the application. The development of a mobile application to provide a platform that will assist people with information regarding patients that are around the perimeter of users to help notify them. With the help of the notification, users will be able to avoid the chances of them being in contact with the people (ODP), patients that are under surveillance (PDP) confirmed patients. All patients including ODP and PDP are required to have the application therefore, the Minister of Health will be able to track the geolocation of patients. Moreover, people will be able to be aware of patients that are around their perimeter. Therefore, with the help of the application, it will be able to help assist the community for them to be aware of and to be able to avoid being in contact with the infected patients.

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Automating Care by Self-maintainability for Full Laboratory Automation

arXiv

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arXiv 2025年

作者： Ochiai, Koji Tahara-Arai, Yuya Kato, Akari Kaizu, Kazunari Kariyazaki, Hirokazu Umeno, Makoto Takahashi, Koichi Kanda, Genki N. Ozaki, Haruka Laboratory for Biologically Inspired Computing RIKEN Center for Biosystems Dynamics Research 6-7-1 Minatojima Minamimachi Chuo-ku Hyogo Kobe650-0047 Japan Bioinformatics Laboratory Institute of Medicine University of Tsukuba 1-1-1 Tennodai Ibaraki Tsukuba305-8577 Japan Ph.D. Program in Humanics School of Integrative and Global Majors University of Tsukuba 1-1-1 Tennodai Ibaraki Tsukuba305-8577 Japan Laboratory Automation Suppliers’ Association 2-1-8 Minatojima Minamimachi Chuo-ku Hyogo Kobe650-0047 Japan Cell Modeling and Simulation Group Exploratory Research Center on Life and Living Systems National Institutes of Natural Sciences 5-1 Higashiyama Myodaiji Aichi Okazaki444-8787 Japan Robotics Division YASKAWA Electric Corporation 2-1 Kurosaki Shiroishi Yahatanishi-ku Kitakyushu Fukuoka806-0004 Japan BAIKEIDO LLC 3-8-1 Asano Kokurakita-ku Kitakyushu Fukuoka802-0001 Japan Graduate School of Media and Governance Keio University 5322 Endo Fujisawa-shi Kanagawa252-0882 Japan Medical Research Laboratory Institute of Integrated Research Institute of Science Tokyo 1-5-45 Yushima Bunkyo-ku Tokyo113-8519 Japan Center for Artificial Intelligence Research University of Tsukuba 1-1-1 Tennodai Ibaraki Tsukuba305-8577 Japan

The automation of experiments in life sciences and chemistry has significantly advanced with the development of various instruments and AI technologies. However, achieving full laboratory automation, where experiments conceived by scientists are seamlessly executed in automated laboratories, remains a challenge. We identify the lack of automation in planning and operational tasks—critical human-managed processes collectively termed "care"—as a major barrier. Automating care is the key enabler for full laboratory automation. To address this, we propose the concept of self-maintainability (SeM): the ability of a laboratory system to autonomously adapt to internal and external disturbances, maintaining operational readiness akin to living cells. A SeM-enabled laboratory features autonomous recognition of its state, dynamic resource and information management, and adaptive responses to unexpected conditions. This shifts the planning and execution of experimental workflows, including scheduling and reagent allocation, from humans to the system. We present a conceptual framework for implementing SeM-enabled laboratories, comprising three modules—Requirement manager, Labware manager, and Device manager—and a Central manager. SeM not only enables scientists to execute envisioned experiments seamlessly but also provides developers with a design concept that drives the technological innovations needed for full automation. Copyright © 2025, The Authors. All rights reserved.

关键词： Information management

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