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Cognitive Computing and Complex Data (ICCD), International Conference on the

作者： Muxin Du Qingqing Wang Liucun Zhu Zhen Liu Lei Shi Yudong Fang Yinxi Gu School of Mechanical and Marine Engineering Beibu Gulf University Qinzhou China School of Electric and Information Engineering Beibu Gulf University Qinzhou China Sentinel Institute of Science and Technology Beibu Gulf University Qinzhou China School of Information Nagasaki Institute of Applied Science Nagasaki Japan Guangzhou Shiyuan Electronic Technology Company Limited Qinzhou China Faculty of Computer and Software Engineering Huaiyin Institute of Technology Huai'an China

ISBN: (数字)9798350352894

ISBN: (纸本)9798350352900

Lower-limb exoskeleton robots can medically assist stroke patients in standing and walking, but there is little research on lower-limb exoskeleton robots that assist in standing balance. In this paper, we design the system of a lower limb exoskeleton rehabilitation robot that can assist in standing balance. We performed kinematic modeling with OpenSim and forward dynamics simulation with SCONE. Having identified the muscle groups and joints that affect standing balance more significantly. This paper focuses on the effects of the hip and iliopsoas muscles on standing balance. We have developed a control system for a lower-limb exoskeleton rehabilitation robot that realizes: when inputting a hip joint change angle signal, an opposite moment and angle are output to control the lower limb exoskeleton rehabilitation robot to assist the patient to achieve standing balance. The robotic system was simulated and analyzed using Matlab and the results showed the effectiveness of the system to keep the patient in standing balance.

关键词： Legged locomotion Limbs Exoskeletons Stroke (medical condition) Muscles Assistive robots Control systems MATLAB Robots Hip

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Designing Optimal Parameters for Single-Axis Solar-Tracker through Analysis of Sun-Path and Tracking Vector Dynamics

Designing Optimal Parameters for Single-Axis Solar-Tracker t...

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International Conference on Electrical engineering and Information & Communication technology (ICEEICT)

作者： M. Akhtaruzzaman Md Shofiqul Islam Fahim Shahryer Muammer Din Arif Md. Sazib Mollik Muhammad Towfiqur Rahman Md. Mahbubur Rahman Mohammad Kamrul Hasan Shugata Ahmed Md. Ashrafuzzaman Department of Computer Science and Engineering Military Institute of Science and Technology (MIST) Dhaka Bangladesh Department of Mechanical Engineering Military Institute of Science and Technology (MIST) Dhaka Bangladesh Department of Electrical and Electronic Engineering Northern University Bangladesh (NUB) Dhaka Bangladesh Department of Computer Science and Engineering University of Asia Pacific (UAP) Dhaka Bangladesh Faculty of Information Science and Technology Universiti Kebangsaan Malaysia (UKM) Bangi Malaysia Department of Robotics and Mechatronics Engineering University of Dhaka (UoD) Bangladesh Global corporate & finance Experian (malaysia) Sdn. Bhd. Cyberjaya Malaysia

ISBN: (数字)9798350385779

ISBN: (纸本)9798350385786

The persistent challenges faced by sun-tracking systems include inefficient power production, wastage of energy, ineffective control, and high costs. Most of the existing systems are either static or dual-axis tracking which lead to inefficient output or increasing energy wastage and cost overheads. Though, single-axis tracking system has some benefits over the static or dual-axis tracking, most of the systems do not analyze the selection of optimal sun-path which again leads to inefficient and inadequate absorption of sunlight. Addressing the issues, this article presents a design of optimal parameters for single-axis solar-tracking by analyzing the sun-path and tracking vector dynamics. The study mainly focuses on analyzing solar-tracking dynamics, variations in sunray angles, Azimuth and Elevation dynamics throughout the day for the twelve months, Sun-vector calculation for local coordinates, joint rotational-axis, and joint motion control using a Proportional-Derivative controller. Additionally, the article outlines a conceptual architecture for automated control, monitoring, and power distribution for the potential development of a sustainable smart city. The proposed strategy addresses the issues of the optimal design of a single-axis solar-tracker, thus ensuring the reduction of cost overhead and energy wastage.

关键词： Costs Tracking Heuristic algorithms Power system dynamics Dynamics Production Vectors

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A Novel Phase Shifter for 5G Base Station Antenna

A Novel Phase Shifter for 5G Base Station Antenna

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World Congress on Computing and Communication Technologies (WCCCT)

作者： Lin Du Botao Feng Xiao Ding Wenzhe Gu Sanshan Sun Li Deng College of Electronics and Information Engineering Shenzhen University Shenzhen China Faculty of Humanities and Arts Macau University of Science and Technology Macau China School of Computer Science and Engineering Huizhou University Huizhou China College of Physics and Electronic Engineering Sichuan Normal University Sichuan China College of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing China

ISBN: (数字)9798350372328

ISBN: (纸本)9798350372335

In this paper, a phase shifter for the base station antenna with low cost, ease of manufacturing and good performance on phase shift is presented. The phase shifter consists of a metal shell, a substrate, two dielectric plates, and two conductor lines. The phase shift is realized by moving the dielectric plates longitudinally, which cover the conductor lines. With the slots in dielectric materials, the slotted part of dielectric plates can function similarly to a quarter-wavelength impedance matching. Therefore, the function of this phase shifter is that the voltage standing wave ratio (VSWR) and power distribution ratio can be guaranteed when the dielectric plate is moved. The phase shifter exhibits a bandwidth of 1.7-2.1 GHz and the corresponding phase shift is 86.88° when the dielectric plate moves by 90 mm. Moreover, its good physical features including light weight, low cost, and easy fabrication make it well suitable for base station antenna applications.

关键词： Base stations Costs Phase shifters Power distribution Metals Voltage Conductors

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Intelligent IoT-Aided Early Sound Detection of Red Palm Weevils

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computers, Materials & Continua 2021年第12期69卷 4095-4111页

作者： Mohamed Esmail Karar Omar Reyad Abdel-Haleem Abdel-Aty Saud Owyed Mohd F.Hassan College of Computing and Information Technology Shaqra UniversityShaqra11961Saudi Arabia Department of Industrial Electronics and Control Engineering Faculty of Electronic EngineeringMenoufia UniversityEgypt Faculty of Science Sohag UniversitySohag82524Egypt Department of Physics College of SciencesUniversity of BishaBisha61922Saudi Arabia Department of Mathematics College of SciencesUniversity of BishaBisha61922Saudi Arabia Department of Computer and Information Science CeRDaSUniversiti Teknologi PetronasMalaysia

Smart precision agriculture utilizes modern information and wireless communication technologies to achieve challenging agricultural ***,Internet of Things(IoT)technology can be applied to monitor and detect harmful insect pests such as red palm weevils(RPWs)in the farms of date palm *** this paper,we propose a new IoT-based framework for early sound detection of RPWs using fine-tuned transfer learning classifier,namely *** sound sensors,namely TreeVibes devices are carefully mounted on each palm trunk to setup wireless sensor networks in the *** trees are labeled based on the sensor node number to identify the infested ***,the acquired audio signals are sent to a cloud server for further on-line analysis by our fine-tuned deep transfer learning model,i.e.,*** proposed infestation classifier has been successfully validated on the public TreeVibes *** includes total short recordings of 1754 samples,such that the clean and infested signals are 1754 and 731 samples,*** to other deep learning models in the literature,our proposed InceptionResNet-V2 classifier achieved the best performance on the public database of TreeVibes audio *** resulted classification accuracy score was 97.18%.Using 10-fold cross validation,the fine-tuned InceptionResNet-V2 achieved the best average accuracy score and standard deviation of 94.53%and±1.69,*** the proposed intelligent IoT-aided detection system of RPWs in date palm farms is the main prospect of this research work.

关键词： Red palm weevils smart precision agriculture internet of things artificial intelligence

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Context-Aware Collaborative Filtering Framework for Rating Prediction Based on Novel Similarity Estimation

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computers, Materials & Continua 2020年第5期63卷 1065-1078页

作者： Waqar Ali Salah Ud Din Abdullah Aman Khan Saifullah Tumrani Xiaochen Wang Jie Shao School of Computer Science and Engineering University of Electronic Science and Technology of ChinaChengdu611731China Faculty of Information Technology The University of LahoreLahore54000Pakistan Sichuan Artificial Intelligence Research Institute Yibin644000China

Recommender systems are rapidly transforming the digital world into intelligent information *** valuable context information associated with the users’prior transactions has played a vital role in determining the user preferences for items or rating *** has been a hot research topic in collaborative filtering-based recommender systems for the last two *** paper presents a novel Context Based Rating Prediction(CBRP)model with a unique similarity scoring estimation *** proposed algorithm computes a context score for each candidate user to construct a similarity pool for the given subject user-item pair and intuitively choose the highly influential users to forecast the item *** context scoring strategy has an inherent capability to incorporate multiple conditional factors to filter down the most relevant *** with traditional similarity estimation methods,CBRP makes it possible for the full use of neighboring collaborators’choice on various *** conduct experiments on three publicly available datasets to evaluate our proposed method with random user-item pairs and got considerable improvement in prediction accuracy over the standard evaluation ***,we evaluate prediction accuracy for every user-item pair in the system and the results show that our proposed framework has outperformed existing methods.

关键词： Recommender system context-based similarity estimation rating prediction collaborative filtering

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Hybrid polynomial-based trajectory planning for lower limb exoskeleton robots

Hybrid polynomial-based trajectory planning for lower limb e...

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IEEE Conference on Industrial electronics and Applications (ICIEA)

作者： Shupei Li Chi Zhang Feng Yi Pingping Lv Ting Yuan Meitong Zhang Ningbo Institute of Materials Technology and Engineering Chinese Academy of Sciences College of Materials Science and Opto-Electronic Technology University of Chinese Academy of Sciences Ningbo China Zhejiang Key Laboratory of Robotics and Intelligent Manufacturing Equipment Technology Ningbo Institute of Materials Technology and Engineering Ningbo China Faculty of Electrical Engineering and Computer Science Ningbo University Ningbo China School of Electrical Engineering Hebei University of Science & Technology Ningbo China

To ensure smooth, continuous, and precise motion of lower limb exoskeleton robots, this paper proposes a 6-5-6 polynomial trajectory planning method (6-5-6 PTPM) that combines 5 th and 6 th polynomials. By imposing corresponding kinematic constraints, this method achieves the trajectory plan of seven sub-phases of the gait cycle on the kinematic model of the lower limb exoskeleton robot. The simulation is conducted and compared to the 4-3-4 polynomial trajectory planning method (4-3-4 PTPM). The comparison results indicate that the 6-5-6 PTPM is shown to have a lower error between the planned trajectory and the actual trajectory. Additionally, it avoids spikes of the acceleration curve that existed in the 4-3-4 polynomial method. The proposed method enables the acceleration curve smoother and mechanical impact lessened, which demonstrates the feasibility and stability of the proposed method.

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A kind of epistasis-tunable test functions for genetic algorithms

A kind of epistasis-tunable test functions for genetic algor...

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作者： Mo, Hongqiang Li, Zhong Zhu, Chunmei School of Automation Science and Engineering South China University of Technology Guangzhou510641 China Faculty of Mathematics and Computer Science FernUniversitaet in Hagen Hagen58084 Germany College of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Zhongshan Institute Zhongshan528400 China

Genetic algorithm (GA) is one of the most popular algorithms of evolutionary computation. To evaluate the performance of GAs, test functions with different levels of epistasis have been included in most of the commonly used benchmark platforms. Such test functions have been produced in general by assuming an underlying linear model for the fitness of a string, in which variable interaction should be known beforehand. This paper proposes to compose epistasis-tunable test functions via linear combinations of simple basis functions so as to avoid explicit dependence on the knowledge of variable interaction. It is remarked that, for a GA with a binary encoding, a linearly separable fitness function, ie, a zero-epistasis fitness function, can be decomposed into a superposition of periodical basis functions whose frequencies are exponential to 2. A kind of epistasis-tunable test functions is accordingly produced by summing up sinusoidal basis functions with such frequencies and proper phases. The merits of thus constructed test functions are: Both the locations and values of the global maxima are trivially known;their degrees of epistasis are smoothly tunable simply by changing the locations of the global maxima. Finally, illustration examples are studied, and the results confirm the claims about the merits. © 2018 John Wiley & Sons, Ltd.

关键词： Genetic algorithms

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Designing a Data Warehouse Framework for Business Intelligence

Designing a Data Warehouse Framework for Business Intelligen...

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2022 International Conference on Data Analytics for Business and Industry, ICDABI 2022

作者： Minh, Quang Tran Thai, Do Thanh Duc, Bui Tien Phat, Nguyen Huu Faculty of Computer Science and Engineering Department of Information Systems 268 Ly Thuong Kiet District 10 Ho Chi Minh City Viet Nam Linh Trung Ward Thu Duc District Ho Chi Minh City Viet Nam Faculty of Information Technology Department of Information Systems 300A Nguyen Tat Thanh Street Ward 13 District 4 HCMC Viet Nam Hanoi University of Science and Technology School of Electrical and Electronic Engineering Hanoi Viet Nam

ISBN: (纸本)9781665490580

Data warehouse (DW) and Business Intelligence (BI) provide mechanisms for companies to exploit their data reaching the goal of making better, more efficient decisions. However, from the perspective of business users, they may have difficulties and confusions in the first approach to the analytic technology. This paper presents the design and implementation of a platform for constructing Data Warehouse frameworks including Business Intelligence tools for data analytics, and designing an ETL process for populating the DW from data sources. The Fact models provided in the proposed framework include Sales, Procurement, Product Inventory, and Customer Relationship Management processes. By applying Dimensional modeling approach, the goal is to provide a platform for new business users to get use of data exploitation by helping them building fast and customizable DW. In addition, we evaluate that using a cloud-based solution would bring back more values rather than investing initial infrastructures. © 2022 IEEE.

关键词： Data warehouses

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Broadband angular momentum cascade via a multifocal graphene vortex generator

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Chinese Optics Letters 2022年第10期20卷 91-95页

作者： Zhongwei Jin Guiyuan Cao Hongtao Wang Han Lin Baohua Jia Cheng-Wei Qiu College of Optical and Electronic Technology China Jiliang UniversityHangzhou 310018China Department of Electrical and Computer Engineering National University of SingaporeSingapore 117583Singapore Centre of Translational Atomaterials(CTAM) Faculty of ScienceEngineering and TechnologySwinburne University of TechnologyHawthornVIC 3122Australia School of Science RMIT UniversityMelbourneVIC 3000Australia The Australian Research Council(ARC)Industrial Transformation Training Centre in Surface Engineering for Advanced Materials(SEAM) Swinburne University of TechnologyHawthornVIC 3122Australia

Light beams carrying orbital angular momentum(OAM)have inspired various advanced applications,and such abundant practical applications in turn demand complex generation and manipulation of optical ***,we propose a multifocal graphene vortex generator,which can produce broadband angular momentum cascade containing continuous integer non-diffracting vortex *** device naturally embodies a continuous spiral slit vortex generator and a zone plate,which enables the generation of high-quality continuous vortex modes with deep depths of ***,the generated vortex modes can be simultaneously tuned through incident wavelength and position of the focal *** elegant structure of the device largely improves the design efficiency and can be fabricated by laser nanofabrication in a single ***,the outstanding property of graphene may enable new possibilities in enormous practical applications,even in some harsh environments,such as aerospace.

关键词： optical vortex multifocus broadband wavelength tunability graphene

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Enhanced Non-Contact Vital Sign Monitoring via Depth Camera-assisted Millimeter-Wave Radar

Enhanced Non-Contact Vital Sign Monitoring via Depth Camera-...

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Artificial Intelligence of Things and Systems (AIoTSys), International Conference on

作者： Hanwen Zhang Chenglong Dou Yucheng Liu Yuan Wu Liping Qian Zhiguo Shi Rongxing Lu State Key Laboratory of Internet of Things for Smart City University of Macau Macau China Zhuhai UM Science & Technology Research Institute Zhuhai China College of Information Engineering Zhejiang University of Technology Hangzhou China College of Information Science and Electronic Engineering Zhejiang University Hangzhou China Faculty of Computer Science University of New Brunswick Fredericton NB Canada

ISBN: (数字)9798331507886

ISBN: (纸本)9798331507893

Non-contact vital sign monitoring with mmWave radar has been regarded as an effective method for identifying lung and heart diseases due to its strong penetration and non-invasive capabilities. Nevertheless, relying solely on millimeter-wave radar for vital sign monitoring is susceptible to interference from multipath reflections, which degrades the measurement accuracy. To address this issue and enhance measurement accuracy, we propose a system design that leverages the depth camera for precise target location and subsequently employs dynamic beamforming techniques to effectively monitor the specified region. The experimental results demonstrate that our proposed system achieves an average error of 2.44 beats per minute (BPM) for heart rate monitoring and 0.22 breaths per minute (BPM) for respiratory rate monitoring. Compared to systems without beamforming, our system reduces the mean error for heart rate monitoring by 4.21 BPM and for respiratory rate monitoring by 0.51 BPM.

关键词： Heart rate Accuracy Array signal processing Millimeter wave measurements Millimeter wave radar Reflection Sensors Millimeter wave communication Monitoring System analysis and design

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