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10th IEEE Jubilee International Conference on Computational Cybernetics and Cyber-Medical Systems, ICCC 2022

作者： Roshanzamir, Mohamad Darbandy, Mohammad Tayarani Roshanzamir, Mahdi Alizadehsani, Roohallah Shoeibi, Afshin Ahmadian, Davood Fasa University Faculty of Engineering Department of Computer Engineering Fasa74617-81189 Iran Islamic Azad University Taft School of Architecture Taft*** Iran University of Tabriz Department of Electrical and Computer Engineering Tabriz Iran VIC Australia K. N. Toosi University of Technology FPGA Laboratory Faculty of Electrical Engineering Tehran Iran University of Tabriz Faculty of Mathematics Statistics and Computer Sciences Tabriz Iran

ISBN: (数字)9781665481779

ISBN: (纸本)9781665481779

Advancement in information and communication technology leads to different communication channels. One of them is the Internet of Things (IoT) which plays an important role in the new world. The Internet of Medical Things (IoMT) is the sub-branch of IoT which focuses on the communication between medical devices to share their data and information. It helps the healthcare industry to present better services for physicians and patients. It improves the quality of life by increasing the quality and decreasing the time and cost of services. An important challenge in IoMT is optimization in its different sub-problems and Swarm Intelligence (SI) algorithms are the best solution for them. In this paper, we tried to investigate the status of using SI in IoMT. Its applications and their corresponding performance were analyzed and investigated. The reported results show that using SI can efficiently solve the optimization problems in IoMT. © 2022 IEEE.

关键词： Internet of things

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Health care data analysis and visualization using interactive data exploration for sportsperson

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Science China(Information Sciences) 2022年第6期65卷 85-97页

作者： Hao LIU Yang ZHANG Ke LIAN Yifei ZHANG Oscar Sanjuán MARTíNEZ Rubén González CRESPO Department of Sport and Exercise Sciences Kunsan National University Department of Naval Architecture and Ocean Engineering Ludong University Computer Science Department School of Engineering and Technology Universidad Internacional de La Rioja

Sports have scored significant attention among the public in this multifaceted world. Diverse training strategies are followed by many athletics and even flexible to adapt comfortable and optimal techniques. This fact has led physicians and educators to encourage remote health surveillance as one of the core strategies in athletic training. The need for innovative data exploration methodologies capable of facing Big Data's influence to make remote monitoring services viable has been raised by the growing ties of networks that deliver high quantities of real-time data. This paper presents an interactive healthcare data exploration and visualization(IHDEV) model to enhance multi-scaling data analysis and visualization in the athletic health vision platform. This paper aims to simplify optimization methods to measure sportsperson muscle tension. This model illustrates a three-layer architecture with a raw data acquisition layer, data analysis layer, and visualization layer. The first layer considers the acquisition of health-related data from the athletes for remote monitoring using IoT and stores it into the cloud. The data analysis layer adapts artificial intelligence(AI) in data mining. The final layer introduces an intelligent interactive data visualization model assisted by a reactive workflow mechanism, enabling analysis and visualization solutions to be composed in a personalized data flow appropriate to the athletic training. This experimental study extended with two healthcare datasets to show the feasibility of IHDEV in promoting healthcare based athletic monitoring and improves the accuracy ratio of 96.7%, prediction ratio of 96.2%, an efficiency ratio of 96.8%, Pearson correlation coefficient of 98.2%, and reduces the error rate of 18.7% compared to other conventional models.

关键词： artificial intelligence health monitoring data visualization data analysis athletics

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Investigating human-robot cooperation in a hospital environment: Scrutinising visions and actual realisation of mobile robots in service work 21

Investigating human-robot cooperation in a hospital environm...

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2021 ACM Designing Interactive Systems Conference: Nowhere and Everywhere, DIS 2021

作者： Tornbjerg, Kristina Kanstrup, Anne Marie Skov, Mikael B. Rehm, Matthias Department of Planning Aalborg University Denmark Department of Computer Science Aalborg University Denmark Department of Architecture Design and Media Technology Aalborg University Denmark

ISBN: (纸本)9781450384766

This study analysed work activity in a hospital basement where humans and robots interacted and cooperated on logistics tasks. The robots were deployed to automate parts of courier processes and improve the work environment for the hospital's kitchen staff. Human-robot cooperation was studied through ethnographic fieldwork relating to mobile service robots and hospital kitchen staff. The results highlighted problems arising through the assumption that the gplug and play' service robots could effectively automate work tasks. The analysis revealed the complexity of human-robot interaction in dynamic work settings such as hospitals and identified contradictions between the envisioning and realisation of robots at work, as well as the visible and invisible procedures underpinning human-robot cooperation. Consequently, we emphasise the importance of considering robots as agents of change and draw attention to the new work practices that arise when robots assume the roles of workers in dynamic work settings. © 2021 Owner/Author.

关键词： Hospitals

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Multi-Target Classification Using Deep Learning Models for Automotive Applications

Multi-Target Classification Using Deep Learning Models for A...

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International Conference on Control, Mechatronics and Automation (ICCMA)

作者： Soumya. A Linga Reddy Cenkeramaddi Chalavadi Vishnu Yash Vinod Lanjewar Krishna Mohan C Department of Computer Science and Engineering Indian Institute of Technology Hyderabad India Department of Information and Communication Technology University of Agder Grimstad Norway Department of Architecture and Regional Planning Indian Institute of Technology Kharagpur India

This paper presents a multi-perspective convolutional neural network (CNN) that extracts the class of objects supporting intelligent transportation systems. The proposed model is the visual geometry group (VGG) backbone network with custom feature extraction blocks, that use multilayer prediction heads. The model addresses both multi-class and multi-object classification tasks utilizing the automotive object detection dataset. The model is designed with multiple prediction heads to classify different objects in an image and enable object count prediction. A publicly available automotive object detection dataset with 19800 images and labels has been utilized. The dataset consists of five primary types of objects: Persons, Trucks, Motorbikes, Cars, and Cyclists. On the dataset, pre-trained models such as VGG, Resenet, EfficientNet, and DenseNet were tested and their classification performance was evaluated. The experimental results illustrate the superiority of the proposed VGG backbone deep learning CNN model in comparison to other pre-trained models.

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Spline Global MPPT with PID Controller Based on Levy Invasive Weed Technique for Renewable Energy Resources of Smart Homes

Spline Global MPPT with PID Controller Based on Levy Invasiv...

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IEEE International Conference on Power and Power and Renewable Energy (ICPRE)

作者： Aziza I. Hussein Mady Mohammad Passent Elkafrawy Rabab Hamed M. Aly College of Engineering Energy and Technology Research Center Effat University Jeddah Saudi Arabia College of Architecture Effat University Jeddah Saudi Arabia The Higher Institute for Management and Information Technology Minya Egypt Computer Science Department Faculty of Computer Science Nahda University Beni Suef Egypt

ISBN: (数字)9798350377460

ISBN: (纸本)9798350377477

Renewable energy systems, particularly photovoltaic (PV) systems, have been played important role in the reducing carbon emissions. A primary concern in the field of photovoltaics (PV) based on the design of the maximum power point tracking (MPPT) is the capacity to accurately monitor power across many parameters in addition to ascertain the power production of solar cells or wind turbines and adjust the load to maximise power efficiency under varying weather conditions. On another hands, the hybrid smart system uses a wind catcher to reduce the amount of energy consumed by buildings from the grid, which is a historically significant architectural component for cross ventilation and passive cooling. This paper presents an updating of model that proposes improvements to the regulation of Spline MPPT with tuning PID controller by using Levy Invasive Weed optimization (LIWO)technique. A rapid, accurate, and straightforward approach for determining the (MPPT) of PV systems under consistent irradiation and partial shade, as well as wind turbines, is presented using the Spline- MPPT technique. The model of this paper employs LIWO in conjunction with a PID controller to improve the selection of PID gains. Moreover, is applied to generate the optimal values of duty cycle of the model. The comprehensive system design depicted has been simulated using MATLAB Simulink to verify the functionality of the system. The model has attained an accuracy of 93%. The outcomes of this model contribute greatly to our understanding of the suitability and efficacy of both AI and traditional MPPT controllers. This modeling will be beneficial to the renewable energy industry.

关键词： Maximum power point trackers Photovoltaic systems Renewable energy sources Accuracy Software packages Mathematical models Wind turbines Splines (mathematics) Optimization Tuning

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Problems Analysis and Countermeasure Suggestions for Project-Based Industry-University-Research Collaborative Innovation 2

Problems Analysis and Countermeasure Suggestions for Project...

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2nd International Conference on Engineering Education and Information technology, EEIT 2022

作者： Bao, Wei Li, Zhihao Li, Ruiyan Jilin University of Architecture and Technology College of Computer Science and Engineering Changchun China Wayou Jilin Education Technology Co. Ltd. Industrial Research Department Changchun China Jilin Jiaheng Geological Environment Surveying and Mapping Co. Ltd. Technology Department Changchun China

ISBN: (数字)9781665488426

ISBN: (纸本)9781665488426

With the development of industry-university-research collaborative innovation, the depth and breadth of collaborative cooperation have been continuously improved. Based on the analysis and research of the existing literatures and theories of industry-university-research collaborative innovation, this paper investigates the examples of cooperation in industry-university-research, takes the 'Research and product development of key technologies for in situ monitoring of surface water quality in Jilin province' project cooperated by a university and Jilin Jiaheng Geological Environment Surveying and Mapping Co., Ltd. as an example, combines the existing theories and research conclusions. From the four directions of object selection, technology transfer, knowledge transfer and benefit distribution, this paper analyzes the problems encountered in the practice of project-based collaborative innovation model in industry-university-research, fills the theoretical blanks of collaborative innovation in industry-university-research, puts forward solutions based on the platform, personnel, system, benefits and other aspects, improves the development of collaborative innovation in industry-university-research, and looks forward to industry-university-research collaborative innovation. © 2022 IEEE.

关键词： Surface waters

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The evolution of inharmonicity and noisiness in contemporary popular music

arXiv

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arXiv 2024年

作者： Deruty, Emmanuel Meredith, David Lattner, Stefan Sony Computer Science Laboratories 6 rue Amyot Paris75005 France Department of Architecture Design and Media Technology Aalborg University Rendsburggade 14 Aalborg9000 Denmark

Much of Western classical music relies on instruments based on acoustic resonance, which produce harmonic or quasi-harmonic sounds. In contrast, since the mid-twentieth century, popular music has increasingly been produced in recording studios, where it is not bound by the constraints of harmonic sounds. In this study, we use modified MPEG-7 features to explore and characterise the evolution of noise and inharmonicity in popular music since 1961. We place this evolution in the context of other broad categories of music, including Western classical piano music, orchestral music, and musique concrète. We introduce new features that distinguish between inharmonicity caused by noise and that resulting from interactions between discrete partials. Our analysis reveals that the history of popular music since 1961 can be divided into three phases. From 1961 to 1972, inharmonicity in popular music, initially only slightly higher than in orchestral music, increased significantly. Between 1972 and 1986, this rise in inharmonicity was accompanied by an increase in noise, but since 1986, both inharmonicity and noise have moderately decreased. In recent years (up to 2020), popular music has remained much more inharmonic than popular music from the 1960s or orchestral music involving acoustic resonance instruments. However, it has become less noisy, with noise levels comparable to those of orchestral music. We relate these trends to the evolution of music production techniques. In particular, the use of multi-tracking may explain the higher inharmonicity in popular music compared to orchestral music. We illustrate these trends with analyses of key artists and *** Codes 68T05, 42C40 © 2024, CC BY.

关键词： Background noise

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Inspiring Creativity: A Comparative Study of Hands-On Artifact Interaction and 3D Art Viewing

Inspiring Creativity: A Comparative Study of Hands-On Artifa...

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

作者： Jirawat Sookkaew Pipatpong Saephoo Pheeraphon Changjaikla Department of Computer Graphic and Multimedia School of Information and Communication Technology University of Phayao Thailand Department of Digital Business School of Information and Communication Technology University of Phayao Thailand Department of Visual Communication Design School of of Architecture Kasem Bundit University Bangkok Thailand

ISBN: (数字)9798331543273

ISBN: (纸本)9798331543280

The use of 3D technology in creative processes not only facilitates the creation of complex and intricate works but also provides opportunities for creators to experiment and develop unique and engaging concepts. Additionally, multimedia and 3D technology enhance the diversity and interest of the audience's experience. This study focuses on comparing the impact of using 3D models versus viewing ancient artifacts in traditional formats on enhancing creativity among students in different groups. Descriptive data analysis revealed that both groups had equal mean outputs (7.14 pieces per person), but the group using 3D models (Group 2) showed greater consistency in their work, with lower variance (5.14) and standard deviation (2.27) compared to the group using traditional visuals (Group 1), which had higher variance (27.24) and standard deviation (5.22).The findings suggest that implementing 3D technology in education goes beyond preserving historical information - it serves as a crucial tool for stimulating creativity and fostering innovation. This technology enables the development of immersive learning environments that can adapt to individual learning styles while promoting collaborative and cross-disciplinary approaches to education.

关键词： Training Solid modeling Technological innovation Visualization Three-dimensional displays Art Education Problem-solving Creativity Standards

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A Minimized Thickness of MIMO Antenna Based on Thin Film Substrates for UWB application

A Minimized Thickness of MIMO Antenna Based on Thin Film Sub...

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2023 International Electrical Engineering Congress, iEECON 2023

作者： Aroonmitr, Pongsathorn Rakluea, Chawalit Loedhammacakra, Wisit Rakluea, Paitoon Tangjitjetsada, Maleeya Mahatthanajatuphat, Chatree Akkaraekthalin, Prayoot Thianthong, Tawan Rajamangala University of Technology Thanyaburi Faculty of Engineering Department of Electronics and Telecommunication Engineering Pathum Thani12110 Thailand Rajamangala University of Technology Suvarnabhumi Faculty of Engineering and Architecture Department of Electronics and Telecommunication Engineering Nonthaburi11000 Thailand King Mongkut's University of Technology North Bangkok Faculty of Engineering Department of Electrical and Computer Engineering Bangkok10800 Thailand Siam Airport Ground Services Co. Ltd. Bangkok10210 Thailand

ISBN: (纸本)9798350332360

This paper presents a compact MIMO antenna for ultra-wideband (UWB) applications. It is created based on a thin film for an antenna substrate to minimize the antenna thickness, resulting in the antenna being utilized well on a curved surface. The film thickness is about 0.056 mm was used to design and cooperate with the rectangular slot antenna and rectangular stub. In addition, the antenna cover frequency range from 3.1 GHz to 10.6 GHz with the S11 and S21 below-10 dB and-15 dB, respectively. The antenna will be fed by 50 Ω coplanar waveguide for a transmission line. Moreover, an Envelope Correlation Coefficient (ECC) isn't more than 0.05 throughout the frequency range. The antenna radiation pattern is bidirectional all bands and the maximum gain is 4.6 dBi. The proposed antenna can be applied to the WBAN WPAN and WLAN, UWB communication systems as well. © 2023 IEEE.

关键词： Thin films

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A Quasi FSS Reflector with Dualband Cross Dipole for 5G Base Station Antenna Application

A Quasi FSS Reflector with Dualband Cross Dipole for 5G Base...

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2023 International Electrical Engineering Congress, iEECON 2023

作者： Loedhammacakra, Wisit Tangjitjetsada, Maleeya Rakluea, Chawalit Wongsin, Norakamon Jangjing, Thinnawat Chudpooti, Nonchanutt Mahatthanajatuphat, Chatree Thianthong, Tawan Rajamangala University of Technology Thanyaburi Faculty of Engineering Department of Electronics and Telecommunication Engineering Pathum Thani12110 Thailand Rajamangala University of Technology Suvarnabhumi Faculty of Engineering and Architecture Department of Electronics and Telecommunication Engineering Nonthaburi11000 Thailand King Mongkut's University of Technology North Bangkok Faculty of Engineering Department of Electrical and Computer Engineering Bangkok10800 Thailand Siam Airport Ground Services Co. Ltd. Bangkok10210 Thailand

ISBN: (纸本)9798350332360

This article describes the application of a quasi-frequency selective surface (FSS) reflector to a cross-dipole antenna for a 5G base station communication system. The quasi-FSS is composed of a square patch resonator with a resonance frequency of 1800 MHz and a perfect electric conductor (PEC) that reflects electromagnetic waves of all frequencies. Moreover, it can support and reflect two linear polarizations (±45°) of a dual-band cross-dipole antenna with dual operating frequencies of 700 MHz and 1800 MHz. At 700 MHz and 1800 MHz, the impedance characteristic of the antenna with reflector is approximately 26.83% and 34.86 % for Sll and S22 ≤-10 dB (±45°). The measured peak gain of the antenna is around 5.74 dBi at 775MHz and 11.88 dBi at 1850MHz. With a quasi-FSS reflector, the proposed antenna can also create a directional radiation pattern and facilitate the utilization of a 5G mobile communication base station. © 2023 IEEE.

关键词： Frequency selective surfaces

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