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检索条件"任意字段=Scientific Conference on Mechatronics Engineering and Computer Science"

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A Neural Interface System-on-Chip for Nerve Signal Recording and Analysis of Human Gesture 8

A Neural Interface System-on-Chip for Nerve Signal Recording...

引用

8th IEEE International conference on Advanced Robotics and mechatronics, ICARM 2023

作者： Liu, Junhuo Li, Zhijun Gu, Jason Feng, Ying Li, Guoxin College of Artificial Intelligence Anhui University Hefei230601 China Institute of Artificial Intelligence Hefei Comprehensive National Science Center Hefei230088 China University of Science and Technology of China Department of Automation Hefei230026 China Dalhousie University Department of Electrical and Computer Engineering HalifaxNSCanada Canada School of Automation Science and Engineering South China University of Technology Guangzhou510640 China

ISBN: (纸本)9798350300178

The intensity of surface electromyography (sEMG) reflects the state of muscle activity, and the monitoring of neural activity is accomplished by recording and analyzing sEMG, so as to help the elderly and patients with muscle injury live normally. However, the current products in the literature or on the market cannot support the integration of signal recording and decision making simultaneously. To solve this challenge, a novel neural interface system-on-chip (SoC) is developed, which includes a neural signal recorder, a hardware integrated classifier with signal screening capability and a series of communication interfaces for data transmission. In addition, function circuits consisting of the controller and the clock generator are designed to provide operation instructions and the necessary reference timing. The prototype of the system was developed by using Verilog on FPGA. In the experiments, five volunteer subjects with healthy upper limbs were invited to participate in the verification of model parameter training and real-time gesture recognition. The experimental results show that the average recognition accuracy reach to 98.14%. which is better than the existing model of the same classifier. © 2023 IEEE.

关键词： System-on-chip

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New Approach to Assessing Structural Complexity 7

New Approach to Assessing Structural Complexity

引用

7th International conference of Artificial Intelligence, Medical engineering, Education, AIMEE 2023

作者： Vozna, Nataliia Department of Specialized Computer Systems West Ukrainian National University Ternopil Ukraine The University College of Applied Science in Chelm Chelm Poland

ISBN: (纸本)9781643684901

The work is devoted to solving a scientific problem of the development of methodology for improvement of multifunctional computing devices structures, which are the components of complex computer systems. Multifunctional data that are generated, transformed, transmitted, stored, processed and used in modern distributed IoT systems is defined. The use of this data simplifies the operations to be performed. New theoretical and applied bases of evaluation and calculation criteria of structural complexity of the created and applied components of complex distributed computer and cyber physical systems are determined and the existing ones are developed that allowed improving system characteristics of computerized systems components and using them efficiently in cyber physical systems due to the reduction of structural, hardware and time complexity. © 2024 The Authors.

关键词： Cyber Physical System

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Malicious PE File Detection Using Machine Learning: An Analysis of Header Features

Malicious PE File Detection Using Machine Learning: An Analy...

引用

2024 IEEE International conference on Computing, Semiconductor, mechatronics, Intelligent Systems and Communications, COSMIC 2024

作者： Shyam Kumar, S. Shetty, Jyothi Department of Cyber Security Nitte574 110 India Department of Computer Science and Engineering Nitte574 110 India

ISBN: (纸本)9798331517892

Portable Executable (PE) files serve as the foundation of the Windows operating system, containing executable code, object code, and Dynamic Link Libraries (DLLs). Their importance lies in their capacity to execute tasks and run programs within the Windows environment, rendering them essential to software execution. Comprehension of PE files is crucial in cybersecurity due to their prevalence and potential for harboring malicious software. Analysis of PE files enables researchers and analysts to uncover insights into their structure, behavior, and dependencies, which is essential for detecting and categorizing potential threats. PE file analysis provides critical information about a program's characteristics, facilitating the identification of indicators of compromise and potential security risks. Through examination of PE headers, sections, and attributes, analysts can gain insights into the file's functionality, dependencies, and potential security vulnerabilities. This knowledge equips cybersecurity professionals to develop robust detection and mitigation strategies, safeguarding systems and networks against cyber threats. In this paper, we examine the intricate details of PE files, utilizing tools such as PE-bear, PEinfo, CFF Explorer, and PEStudio to conduct comprehensive analysis. Our study employs machine learning techniques, specifically the Random Forest algorithm, to enhance malware detection capabilities. By preprocessing and augmenting the dataset with new executable files, we aim to enhance the efficacy of our analysis and provide valuable insights for cybersecurity research and defense strategies. © 2024 IEEE.

关键词： Cybersecurity

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Solving false active power readings problem for air high voltage lines with MATLAB model simulations 12

Solving false active power readings problem for air high vol...

引用

12th International scientific conference on computer science, COMSCI 2024

作者： Tsenov, Georgi Technical University of Sofia Faculty of Automation Department Fundamentals of Electrical Engineering Bulgaria

ISBN: (纸本)9798350392166

The Bulgarian electrical distribution company experienced abnormal electric power results, observed while the lines are idle sometimes in 110, 220, and 400 kV high voltage power lines ranging from 50 to 150 km when active power readings were taken. In these particular occurrences, the electricity distribution lines were with one side being voltage supplied, with the other side being open and with no consumer load present, yet the readings on the supplied side indicated that is entering active energy from the other side. This occurrence is impossible physically and necessitates an investigation to determine its cause. To address this a case study in MATLAB was conducted with application of nodal analysis method by modelling all relevant parameters and characteristics and their variations. The findings confirmed that such an abnormal instrument readings for the electricity power can indeed occur under certain conditions, which we validated through simulations on a hardware scale model. © 2024 IEEE.

关键词： Power distribution lines

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Obstacle Avoidance Flight Control Method of UAV Formation Based on Neural Network Adaptive PID

Obstacle Avoidance Flight Control Method of UAV Formation Ba...

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2022 International conference on Mathematics, Modeling, and computer science, MMCS 2022

作者： Yang, Yunhong Xiong, Xingzhong Sichuan University of Science & Engineering Sichuan China

ISBN: (纸本)9781510664593

According to the analysis of the research results of UAV formation must-rise path planning and intelligent control technology in recent years, scholars around the world began to use artificial intelligence technology theory for optimization and innovation, put forward a variety of scientific research and exploration topics, and achieved excellent research results. In this paper, based on the understanding of neural network adaptive PID and UAV cluster track planning, according to the accumulated experience of scientific research and technology achievements in recent years, in-depth discussion of the UAV formation obstacle avoidance flight control method based on neural network adaptive PID algorithm. The final experimental results show that the neural network adaptive PID algorithm can effectively control the UAV formation and truly realize the basic functions. © 2023 SPIE.

关键词： Unmanned aerial vehicles (UAV)

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Improving Medical Image Synthesis using Generative Adversarial Networks

Improving Medical Image Synthesis using Generative Adversari...

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2024 International conference on Optimization Computing and Wireless Communication, ICOCWC 2024

作者： Soumya, K. Jakhar, Sunil Kumar Yadav, Dinesh Kumar Department of Computer Science and Information Technology Bangalore India Mechanical Engineering Vivekananda Global University Jaipur India College of Engineering Teetthanker Mahaveer University Uttar Pradesh Moradabad India

ISBN: (纸本)9798350383348

scientific imaging is a crucial device for the analysis and remedy of illnesses. The records generated using medical imaging are expensive, and there's an ever-developing want to streamline the purchase and utilization of such information. Generative adversarial Networks (GANs) are, in particular properly-desirable for scientific imaging synthesis due to their potential to generate practical pictures from constrained statistics. In this work, we gift an approach that uses GANs to enhance the satisfaction of clinical photos. The proposed approach combines the generative electricity of GANs with area-specific know-how to synthesize clinical pictures with better accuracy and consistency. We gift effects on numerous datasets and exhibit the capability of this technique for stepped-forward clinical imaging synthesis.. © 2024 IEEE.

关键词： demonstrate knowledge particularly realistic streamline

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Development of a Current-Position Control Strategy for Motion Systems Utilizing Nonlinear Reluctance Actuators 63

Development of a Current-Position Control Strategy for Motio...

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63rd IEEE conference on Decision and Control, CDC 2024

作者： Al Saaideh, Mohammad Al-Rawashdeh, Yazan M. Alatawneh, Natheer Aljanaideh, Khaled Boker, Almuatazbellah Al Janaideh, Mohammad Memorial University St. John's Department of Electrical and Computer Engineering NLA1B 3X5 Canada University of Jordan Electrical Engineering Department at Al-Zaytoonah 130 Amman 11733 Jordan Memorial University St. John's Department of Mechanical and Mechatronics Engineering NLA1B 3X5 Canada Jordan University of Science and Technology Faculty of Engineering Department of Aeronautical Engineering Irbid22110 Jordan Virginia Tech Department of Electrical and Computer Engineering BlacksburgVA24060 United States University of Guelph School of Engineering GuelphON N1G 2W1 Canada

ISBN: (纸本)9798350316339

Reluctance actuators (RA) can replace the current Lorentz actuators in the next generation of positioning and scanning motion systems, such as the wafer stage in lithography machines. However, the nonlinear output force characteristic and the gap dependency of the RA are the main challenges in using the RA to drive motion systems. In this paper, we design a two-loop control approach for a reluctance actuator motion system (RAMS) to achieve tracking performance for a desired motion profile. First, the current control loop linearizes the RA under different conditions. Next, the position control loop is designed using a PID control based on an extended-high gain observer to achieve a desired motion profile considering unknown dynamics in the system. The simulation results show the efficiency of the proposed current control in linearizing the dynamic behavior under different desired forces and nominal air gaps and achieving a frequency response similar to the spring-mass-damper system. Moreover, the position control can achieve different long-stroke and short-stroke motion profiles with different amplitudes and ranges of motion. © 2024 IEEE.

关键词： Proportional control systems

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Career Craft AI: A Personalized Resume Analysis and Job Recommendations System 1

Career Craft AI: A Personalized Resume Analysis and Job Reco...

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1st International conference on Innovative Sustainable Technologies for Energy, mechatronics and Smart Systems, ISTEMS 2024

作者： Rajput, Akshay Dubey, Akanksha Thakur, Rishabh Singh, Deepak Singh, Upendra Pratap Graphic Era Deeemed to Be University Dept. of Computer Science and Engineering Dehradun India

ISBN: (纸本)9798350384246

In the today's era of endless career options, the challenge to get that one ideal job that aligns best with individual's skills and interests is absent due to lack of personalized recommendations and lack of guidance about resume making it becomes challenging to find best jobs and get shortlisted for the hiring process of a company. This paper introduces a novel approach to address these challenges by the development of a Career Crafter AI - A Resume analysis and Job Recommendation System. Knowing the limitations of existing recommendations systems that primarily rely on individuals provided interests, our system, implemented on the e-learning platform for skill building, Level Up, goes beyond the traditional approach of recommendation system. Using Vector Machine algorithm and the cosine similarity our system classifies the users based on their skills and profile mentioned on the platform and Natural Language Processing enables to provide the tips and recommendation to improve our resume and get the insights about the user for better recommendation. The recommendation engine utilizes these insights to provide accurate and best fit jobs to the users and as well as provide potential candidate for job roles to the recruiters This research paper aims to provide a one stop destination for learners to improve their resume for getting an edge during shortlisting and interviews and to transform and optimize the job recommendation systems by offering a more personalized and effective approach, empowering individuals to navigate their career paths with confidence and precision. © 2024 IEEE.

关键词： Support vector machines

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A P300 Based Brain-computer Interface LabVIEW Instrument for Controlling an Experimental Prototype of Juices Vending Machine Using the Unicorn EEG Headset 17th

A P300 Based Brain-Computer Interface LabVIEW Instrument for...

引用

17th International conference on Interdisciplinarity in engineering, INTER-ENG 2023

作者： Rușanu, Oana Andreea Product Design Mechatronics and Environment Department Transilvania University of Brașov Brașov Romania

ISBN: (纸本)9783031546730

The brain-computer interface (BCI) research field provides advanced biomedical technology based unique assistive or rehabilitative solutions aimed at helping people with neuromotor disabilities. The purpose of this paper is to develop a new brain-computer interface for controlling both a virtual simulation and a real experimental system of a vending machine or an automated machine for delivering various juices by transmitting commands based on detecting the P300 evoked biopotentials detected from the GTEC Unicorn headset embedding 8 EEG sensors. Therefore, after using the GTEC Unicorn Recorder official software to check the quality of the acquired raw EEG signals, the BCI commands are generated by triggering the P300 evoked biopotentials in the GTEC Unicorn Speller official board. The resulted EEG based P300 packets are sent in the LabVIEW instrument by the UDP communication protocol. The original LabVIEW application comprises two State-Machine programming sequences both for pictures-based simulation of delivering juices and the real experimentation of a physical Vending Machine controlled by the Arduino Mega 2560 development board. Also, the proposed LabVIEW instrument includes a programming code sequence facilitating the Bluetooth communication between the computer and the Arduino to enable the transmission of commands for controlling the DC pump air motors. The presented experimental prototype should be employed as a training or educational tool both for people with neuromotor disabilities and novice researchers into the brain-computer interface scientific field. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Brain computer interface

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A Historical Perspective of the Biofeedback Art: Pioneering Artists and Contributions 12th

A Historical Perspective of the Biofeedback Art: Pioneering ...

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12th European-Alliance-for-Innovation (EAI) International conference on Arts and Technologies, Interactivity, and Game Creation (ArtsIT)

作者： Oliveira, Hosana Celeste Fed Univ Para BR-66075 Belem PA Brazil

ISBN: (纸本)9783031553110;9783031553127

The biofeedback interfaces were initially developed for medical reasons and revolutionized the way we represent the body and its functions due to the possibilities they brought to expand, conceptualize, investigate, and present body information through sounds and images. Biofeedback interfaces outside the medical context demand new interaction paradigms that radicalize the relationship between the body and the machine. The appropriation of the biofeedback technology by artists resulted in an artistic-scientific research program named biofeedback art or biosignal art, which involves, above all, transdisciplinary practices. Such a transdisciplinary aspect is explained: biofeedback art is inspired by applied techno-science research while contributing to and informing part of them since it deals with interoception, perception, and cognitive processes in general. Biofeedback art should not be seen only as a specialized technical operation field but also as an area of inventiveness and cultural criticism. The paper presents an overview of biofeedback art, focusing on its emergence in the 1960s and 1970s, and its transdisciplinary contributions. The historical research methodology and a narrative and systematic literature review guide the study.

关键词： Biofeedback Art Art and science Art and Neuroscience

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