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IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)

作者： Thanet Sriprom Jutturit Thongpron Uthen Kamnarn Anon Namin Noureddine Takorabet Nicu Bizon Serge Pierfederici Babak Nahid-Mobarakeh Pongsiri Mungpom Burin Yodwong Phatiphat Thounthong Department of Electrical Engineering Faculty of Rajamangala University of Technology Lanna (RMUTL) Chiang Mai Thailand Groupe de Recherche en Energie Electrique de Nancy (GREEN) Universite de Lorraine Nancy France The National University of Science and Technology POLITEHNICA Bucharest Pitesti University Centre Pitesti Romania Laboratoire d'Energetique et de Mecanique Theorique et Appliquee (LEMTA) University of Lorraine Vandceuvre-Les-Nancy France Electrical and Computer Engineering McMaster University Hamilton Canada Thai French Innovation Institute King Mongkut's University of Technology North Bangkok Bangkok Thailand Dep. of Teacher Training in EE Faculty of Technical Education KMUTNB Bangkok Thailand

ISBN: (数字)9798350352290

ISBN: (纸本)9798350352306

This study presents a Hamiltonian control law for constant current - constant voltage (CC-CV) inductive wireless charging. The novel control system design, simulation, and experimentation aimed to confirm the Hamiltonian controller is a superior choice. The wireless charging experiments tested the step-resistant battery simulator and the EV battery. Based on the findings, it is possible to run the Hamiltonian control law for continuous 10A and 82 V charging while maintaining optimal response, stability, and realization. The charging system's maximum efficiency and power were 76.5% and 782 W.

关键词： Wireless communication Lithium-ion batteries PI control Buck converters Inductive charging Asia Stability analysis Electric vehicle charging Voltage control

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Integrated task assignment and path planning for capacitated multi-agent pickup and delivery

arXiv

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arXiv 2021年

作者： Chen, Zhe Alonso-Mora, Javier Bai, Xiaoshan Harabor, Daniel D. Stuckey, Peter J. The Faculty of Information Technology Monash University Wellington Rd ClaytonVIC3800 Australia The Dep. of Cognitive Robotics Delft University of Technology Delft2628 CD Netherlands The College of Mechatronics and Control Engineering Shenzhen University Shenzhen518060 China

Multi-agent Pickup and Delivery (MAPD) is a challenging industrial problem where a team of robots is tasked with transporting a set of tasks, each from an initial location and each to a specified target location. Appearing in the context of automated warehouse logistics and automated mail sortation, MAPD requires first deciding which robot is assigned what task (i.e., Task Assignment or TA) followed by a subsequent coordination problem where each robot must be assigned collision-free paths so as to successfully complete its assignment (i.e., Multi-Agent Path Finding or MAPF). Leading methods in this area solve MAPD sequentially: first assigning tasks, then assigning paths. In this work we propose a new coupled method where task assignment choices are informed by actual delivery costs instead of by lower-bound estimates. The main ingredients of our approach are a marginal-cost assignment heuristic and a meta-heuristic improvement strategy based on Large Neighbourhood Search. As a further contribution, we also consider a variant of the MAPD problem where each robot can carry multiple tasks instead of just one. Numerical simulations show that our approach yields efficient and timely solutions and we report significant improvement compared with other recent methods from the literature. © 2021, CC BY-NC-ND.

关键词： Multi agent systems

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Investigation and classification of cyber-crimes through IDS and SVM algorithm 3

Investigation and classification of cyber-crimes through IDS...

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3rd International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2019

作者： Zolfi, Hamid Ghorbani, Hamidreza Ahmadzadegan, M. Hossein Islamic Azad University of Tehran Electronic Branch Dep. of Electrical Engineering and Information Technology Tehran Iran South Tehran Branch Dep. of Electrical Engineering and Information Technology Tehran Iran Azad University of Tehran North Tehran Branch Tehran Iran

ISBN: (纸本)9781728143651

The evolution of information technology and the development of usage of the high speed internet has brought about changes in the human daily activities. And also access to a large amount of information available through Internet and network platform have led to an increase in the knowledge level of individuals. But along with these changes that have changed the quality of life, and despite all the features and capabilities of the Internet, the criminals have been able to enter the organizational computer systems, and a new type of crime known as computer crime has been emerged which has doubled the importance of tracking, detecting and dealing with these crimes. The spread of computer crime in different countries has led to the adoption of appropriate solutions through the development of relevant laws and raising public awareness and also detection and counteraction of computer crimes requires high level of knowledge, skills and technology. In this way, today intrusion detection and prevention systems along with firewalls are the main mechanisms for achieving the network security. purpose of this study is to identify meaningful patterns for categorizing computer attacks as a solution for Detecting as much as possible malicious attacks and anticipating future criminal activities by using the intrusion detection systems and focus on evidence gathering about suspicious activities and therefore increasing network security. For this purpose, the present study investigates computer crimes that occurred through the traffic network of a petrochemical subsidiary company in a given period of time through the attacks modeling using the SVM algorithm. © 2019 IEEE.

关键词： computer crime

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Design Monitoring Electrical Power Consumtion at computer Cluster

Design Monitoring Electrical Power Consumtion at Computer Cl...

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International Symposium on Nanoscience and Nanotechnology in Life Sciences 2017, ISNNLS 2017

作者： Alfianto, Enggar Agustini, Siti Muharom, Syahri Rusydi, Febdian Puspitasari, Ira Department of Computer System Institut Teknologi Adhi Tama Surabaya Jl. Arief Rachman Hakim No 100 Surabaya Indonesia Electrical Engineering Department Institut Teknologi Adhi Tama Surabaya Jl. Arief Rachman Hakim No 100 Surabaya Indonesia Theoretical Physics Research Group Dep. of Physics Fac. of Science and Technology Airlangga University Jl. Mulyorejo Surabaya60115 Indonesia Dep. of the Information System Fac. of Science and Technology Airlangga University Jl. Mulyorejo Surabaya60115 Indonesia

Electricity is one of the basic needs in the era of technological development, where all equipment must use electricity to operate such as computer, so that it requires a system that can monitor power consumption at computer cluster. To monitoring power consumption using WCS1800 to current sensor and microcontroller Atmega32 to data sensor process, and serial communication to send data to display at personal computer. From test system having two result, first is power consumption at computer cluster starting, where current value range is 0 to 38A with power consumption is 0 to 8360 watt. And second is power consumtion at computer cluster execution progran, current value is 27 to 40 A, with power consumption 5940 to 8800 watt. From this system has been design, the power consumption at computer cluster can be monitored and known value of energy consumption. © 2020 Published under licence by IOP Publishing Ltd.

关键词： Electric power utilization

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Robotic Autism Rehabilitation by Wearable Brain-computer Interface and Augmented Reality

Robotic Autism Rehabilitation by Wearable Brain-Computer Int...

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IEEE International Workshop on Medical Measurement and Applications (MEMEA)

作者： Pasquale Arpaia Carmela Bravaccio Giuseppina Corrado Luigi Duraccio Nicola Moccaldi Silvia Rossi Dep. of Electrical Engineering and Information Technology (DIETI) University of Naples Federico II Naples Italy Dep. of Translational Medical Sciences University of Naples Federico II Naples Italy

ISBN: (数字)9781728153865

ISBN: (纸本)9781728153872

An instrument based on the integration of Brain computer Interface (BCI) and Augmented Reality (AR) is proposed for robotic autism rehabilitation. Flickering stimuli at fixed frequencies appear on the display of Augmented Reality (AR) glasses. When the user focuses on one of the stimuli a Steady State Visual Evoked Potentials (SSVEP) occurs on his occipital region. A single-channel electroencephalographic Brain computer Interface detects the elicited SSVEP and sends the corresponding commands to a mobile robot. The device's high wearability (single channel and dry electrodes), and the trainingless usability are fundamental for the acceptance by Autism Spectrum Disorder (ASD) children. Effectively controlling the movements of a robot through a new channel enhances rehabilitation engagement and effectiveness. A case study at an accredited rehabilitation center on 10 healthy adult subjects highlighted an average accuracy higher than 83%. Preliminary further tests at the dep.rtment of Translational Medical Sciences of University of Naples Federico II on 3 ASD patients between 8 and 10 years old provided positive feedback on device acceptance and attentional performance.

关键词：

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Security Issues and Threats Facing the Electronic Enterprise Leadership 2

Security Issues and Threats Facing the Electronic Enterprise...

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2nd International Conference on Informatics, Multimedia, Cyber, and information System, ICIMCIS 2020

作者： El-Ebiary, Yousef A. Baker Almandeel, Seita Ghanem, Waheed Ali H. M. Abu-Ulbeh, Waheeb Al-Dubai, Maged M. Mahyoub Bamansoor, Samer Faculty of Informatics and Computing UniSZA Terengganu Malaysia Faculty of Economics and Administration King Abdulaziz University Jeddah Saudi Arabia Faculty of Ocean Engineering Technology and Informatics Universiti Malaysia Terengganu Malaysia Amman Arab University Cyber Security Dep. Amman Jordan Management Development Institute of Singapore Tashkent Uzbekistan Faculty of Computer and Information Technology Mediu Kuala Lumpur Malaysia

ISBN: (纸本)9781728191676

the explosion if e.-commerce businesses have seen the growth if number if the online businesses worldwide. Consumers nowadays are opted with inline business commerce which is inconsiderably inconvenience compared to traditional transactions. Deniably, e.-commerce enterprises offer more benefits, comparing to 'bricks-Andmortal' traditional enterprises, but not to be missed the issues and challenges faced by the e-commerce enterprises. This study highlighted the issues and challenges of e-commerce and a set of proposed solutions to those issues and challenges. Among the issues are trust, readiness and security. For each of the issues and challenges, proposed solutions are presented. © 2020 IEEE.

关键词： Electronic commerce

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Optimizing the Power Output for a Capacitive Wireless Power Transfer System with N receivers

Optimizing the Power Output for a Capacitive Wireless Power ...

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2019 IEEE Wireless Power Transfer Conference, WPTC 2019

作者： Minnaert, Ben Mastri, Franco Costanzo, Alessandra Mongiardo, Mauro Stevens, Nobby Odisee University College of Applied Sciences Ghent Belgium Electronic and Information Engineering Guglielmo Marconi University of Bologna Dep. of Electrical Bologna Italy University of Perugia Dep. of Engineering Perugia Italy KU Leuven Technology Campus Ghent DRAMCO Dep. of Electrical Engineering Ghent Belgium

ISBN: (纸本)9781728107059

Capacitive wireless power transfer from one transmitter to multiple receivers is discussed and analytically solved for the realization of maximum power transfer to uncoupled receivers. Simple closed-form expressions for the optimal terminating loads and the corresponding power output and transducer gain are determined by applying the maximum power transfer theorem. The results are validated by circuital simulation. © 2019 IEEE.

关键词： Energy transfer

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A Free Placement Approach to Upper-Limb Tracking Using Inertial Sensors 13

A Free Placement Approach to Upper-Limb Tracking Using Inert...

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2020 IEEE Congress on Cybermatics: 13th IEEE International Conferences on Internet of Things, iThings 2020, 16th IEEE International Conference on Green Computing and Communications, GreenCom 2020, 13th IEEE International Conference on Cyber, Physical and Social Computing, CPSCom 2020 and 6th IEEE International Conference on Smart Data, SmartData 2020

作者： Wu, Xueyan Sun, Mingxu Mu, Haiping Liu, Qi Pei, Xuqun Ning, Bin Nanjing University of Information Science Technology Nanjing China School of Electrical Engineering University of Jinan Jinan China The People's Hospital of Huaiyin Jinan China Shandong Beiming Medical Technology Co. Ltd Jinan China Jinan Central Hospital Dep. Rehabilitation Jinan China

ISBN: (纸本)9781728176475

Currently, functional electrical stimulation is used as the most widely used rehabilitation therapy in intelligent medical treatment of stroke patients' limb rehabilitation. There are three methods for tracking optimization of FES rehabilitation therapy using MEMS inertial measurement units: based on Kalman filter algorithm, using quaternion fusion algorithm and establishing sensor information fusion algorithm, but there are existing, calibration needs to be performed in the early stage, inertial measurement unit Must be placed parallel to the arm, noise is prone to data drift and other issues. To solve the problem of the previous calibration of the sensor and the need to place the sensor according to the reference, and to improve the accuracy of the data, we propose a motion tracking model based on free placement to track the upper limb movement trajectory. The input data of the model is the sensor's triaxial acceleration data. The output data is angle change data, which avoids the process of pre-calibration and improves the accuracy of the data through the angle segmentation model. Four sets of comparative experiments show that this method effectively reduces the influence of the sensor position on the data, improves the data accuracy, and has higher accuracy and use value. © 2020 IEEE.

关键词： Functional electric stimulation

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Learning Based Model Predictive Control for Quadcopters with Dual Gaussian Process

arXiv

引用

arXiv 2021年

作者： Liu, Yuhan Tóth, Roland The Harbin Institute of Technology Department of Control Science and Engineering Harbin China The Eindhoven University of Tech. Dep. of Electrical Eng. Control Systems Group Eindhoven Netherlands The Institute for Computer Science and Control Budapest Hungary

An important issue in quadcopter control is that an accurate dynamic model of the system is nonlinear, complex, and costly to obtain. This limits achievable control performance in practice. Gaussian process (GP) based estimation is an effective tool to learn unknown dynamics from input/output data. However, conventional GP-based control methods often ignore the computational cost associated with accumulating data during the operation of the system and how to handle forgetting in continuous adaption. In this paper, we present a novel Dual Gaussian Process (DGP) based model predictive control strategy that improves the performance of a quadcopter during trajectory tracking. The bio-inspired DGP structure is a combination of a long-term GP and a short-term GP, where the long-term GP is used to keep the learned knowledge in memory and the short-term GP is employed to rapidly compensate unknown dynamics during online operation. Furthermore, a novel recursive online update strategy for the short-term GP is proposed to successively improve the learnt model during online operation in an efficient way. Numerical simulations are used to demonstrate the effectiveness of the proposed strategy. © 2021, CC BY-NC-SA.

关键词： Model predictive control

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A Non-invasive Wearable Bioimpedance System to Wirelessly Monitor Bladder Filling

A Non-invasive Wearable Bioimpedance System to Wirelessly Mo...

引用

Design, Automation and Test in Europe Conference and Exhibition

作者： Markus Reichmuth Simone Schürle Michele Magno Department of Information Technology and Electrical Engineering ETH Zurich Zurich Switzerland Dep. of Health Sciences and Technology ETH Zurich Zurich Switzerland

ISBN: (数字)9783981926347

ISBN: (纸本)9781728144689

Monitoring of renal function can be crucial for patients in acute care settings. Commonly during postsurgical surveillance, urinary catheters are employed to assess the urine output accurately. However, as with any external device inserted into the body, the use of these catheters carries a significant risk of infection. In this paper, we present a non-invasive method to measure the fill rate of the bladder, and thus rate of renal clearance, via an external bioimpedance sensor system to avoid the use of urinary catheters, thereby eliminating the risk of infections and improving patient comfort. We design and propose a 4-electrode front-end and the whole wearable and wireless system with low power and accuracy in mind. The results demonstrate the accuracy of the sensors and low power consumption of only 80μW with a duty cycling of 1 acquisition every 5 minutes, which makes this battery-operated wearable device a long-term monitor system.

关键词： Automation Europe Bioimpedance Wearable computers Biosensors 5G mobile communication Microcontrollers

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