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Biomedical engineering International Conference (BMEiCON)

作者： Santi Rattanavarin Thanapat Sangkharat Ekachai Juntasaro Witsaroot Sripumkhai Pattaraluck Pattamang Norabadee Ranron Numfon Khemthongcharoen Chompunoot Sinthupibulyakit Chamras Promptmas Chayapitcha Saesue Jiraskul Udarwudhipong Wutthinan Jeamsaksiri Department of Production and Robotics Engineering Faculty of Engineering King Mongkut’s University of Technology North Bangkok (KMUTNB) Bangkok Thailand Mechanical Engineering Simulation and Design Group (MESD) Sirindhorn International Thai-German Graduate School of Engineering (TGGS) King Mongkut’s University of Technology North Bangkok (KMUTNB) Bangkok Thailand Thai Microelectronics Center (TMEC) National Electronics and Computer Technology Center (NECTEC) National Science and Technology Development Agency (NSTDA) Chachoengsao Thailand Infrastructure Development Division (IDD) National Science and Technology Development Agency (NSTDA) Pathum Thani Thailand National Electronics and Computer Technology Center (NECTEC) National Science and Technology Development Agency (NSTDA) Pathum Thani Thailand Faculty of Medical Technology Huachiew Chalermprakiet University Samut Prakan Thailand Department of Biomedical Engineering Faculty of Engineering Mahidol University Nakhon Pathom Thailand

This work demonstrates a centrifugal microfluidic chip design for painless blood collection and hematocrit measurement. The fluid channel in the microfluidic chip was fabricated using a laser-cutting method. An optimal dimension of the negative pressure chamber was designed to control the maximum sample volume obtained for further hematocrit examination. The estimated blood sample of 20 µl could be obtained based on the negative pressure driven by finger press actuation on the negative pressure chamber of the microfluidic chip. The repeatability of blood volume collection evaluated by a laboratory technician was 21.126±0.001 µl with a coefficient of variation (CV) of 5.32%. The sample volume used in this centrifugal microfluidic chip was around three times lower than that used in the standard method. Pack red cell preparation for hematocrit examination in the microfluidic chip could be achieved using a centrifugation speed around 2.4 times lower than that used in the standard method. The hematocrit examination by our centrifugal microfluidic chip and the standard method was 41.75±0.77 (1.84 %CV), and 41.5±0.71 (1.7 %CV), respectively. The results showed that the hematocrit measurements in our centrifugal microfluidic chip were compatible with those measured by the standard method.

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Development of Outdoor Service Robots

Development of Outdoor Service Robots

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SICE Annual Conference

作者： Takeshi Nishida Yuji Takemura Yasuhiro Fuchikawa Shuichi Kurogi Shuji Ito Masayuki Obata Norio Hiratsuka Hidekazu Miyagawa Yasuhiro Watanabe Fumitaka Koga Toshinori Suehiro Yoshinori Kawamura Yoshimitsu Kihara Takashi Kondo Fujio Ohkawa Fuculty of Engineering Kyushu Institute of Technology Fukuoka Japan YASKAWA INFORMATION SYSTEMS Corporation Fukuoka Japan Mechanics & Electronics Research Institute Fukuoka Industrial Technology Center Fukuoka Japan Fukuoka Industry Science & Technology Foundation Fukuoka Japan FAIS Robotics Research Institute Fukuoka Japan Kihara Iron Works Fukuoka Japan Fuculty of Computer Science and Systems Engineering Kyushu Institute of Technology Fukuoka Japan

The outdoor service robots which we call OSR-01 and OSR-02 are presently under development intended for cleaning up urban areas by means of collecting discarded trash such as plastic bottles, cans, plastic bags and so on. In this paper, we mainly describe the architecture of OSR-02 which consists of hardware such as sensors, a manipulator, crawler structure, etc. for searching and picking up trash. After describing the systems, we show the result of open experiments in which OSR-02 collected plastic bottles in the special zone for robot research and development in Kitakyushu-city

关键词： Service robots Plastic products Cleaning Urban areas Hardware Sensor phenomena and characterization Manipulators Crawlers Robot sensing systems Research and development

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New High Boost DC-DC Converter for Renewable Energy Conversion

New High Boost DC-DC Converter for Renewable Energy Conversi...

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International Conference on Communications and electronics, ICCE

作者： Dinh-Tuyen Nguyen Truong-Khang Duong Truong-Duy Duong Trong-Nha Quang Ton Duc Do Faculty of Electrical and Electronics Engineering Ho Chi Minh City University of TechnologyVNU-HCM Ho Chi Minh City Vietnam Dept. Electrical and Computer Engineering Wayne State University Detroit MI USA High Volume Power Design Advanced Energy Industries Inc Eden Prairie MN USA Dept. Robotics and Mechatronics School of Science and Technology Nazarbayev University Kazakhstan

ISBN: (数字)9798350379792

ISBN: (纸本)9798350379808

This paper proposes a high-boost power converter for renewable energy systems. The suggested converter exhibits a simplified structure by replacing a diode in the switched-inductor cell with an active power switch to reduce the total voltage stress on the semiconductor device, get cost reduction, and improve efficiency. Additionally, the common ground feature inherent in the introduced topology expands its potential for renewable energy applications. Finally, the simulation verifications are performed using PSIM software to confirm the effectiveness of the suggested approach, and a detailed comparison study between the basic switched-inductor converter and the suggested converter is also presented.

关键词： Renewable energy sources Costs Simulation Prototypes Voltage Switches Software

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Adaptive and Repetitive Controller for Robotic Manipulators with Slowly Updating Scheme Using B-Spline Shape Function

Adaptive and Repetitive Controller for Robotic Manipulators ...

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IEEE International Conference on robotics and Biomimetics

作者： Pannatee Rakprayoon Peerayot Sanposh Nattapon Chayopitak Intelligent Mechatronics Automation Robotics and Control Laboratory Department of Electrical Engineering Kasetsart University Industrial Control and Automation Laboratory National Electronics and Computer Technology Center

ISBN: (纸本)9781457721366

This paper studies the real-time adaptive and repetitive control problem using the Desired Compensation Learning Law (DCLL) that has the advantage of robustness under the presence of unknown parameters with low memory requirement. The control structure of DCLL consists of a feedforward compensator that is designed by a linear combination of shape functions that is adaptable to parameter variations;hence the selection of appropriate shape functions plays an important role in the adaptive ability and accuracy of DCLL. In this study, the B-spline shape function is proposed to be used under the slowly updating scheme and the obtained results show that the robustness and accuracy of the tracking can be greatly improved even under payload variation and torque limits.

关键词： shape functions Repetitive controllers Self tuning splines (mathematics) Scheme Robot Manipulator adaptive capacity memory requirements Control Architecture Manipulators Unknown parameter Linear Combination

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Selective DF Based Multiple Relayed Cooperative System with M-QAM Signalling

Selective DF Based Multiple Relayed Cooperative System with ...

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International Symposium on Personal, Indoor, and Mobile Radio Communications

作者： Sandhya Soni Divyang Rawal Nikhil Sharma Dushantha Nalin K. Jayakody Dept. of Electronics and Communication Engineering LNM Institute of Information Technology Jaipur INDIA School of Computer Science and Robotics National Research Tomsk Polytechnic University RUSSIA

ISBN: (纸本)9781538660102

In this paper, we analyze the error rate performance of selective decode-and-forward (DF) based multiple relayed cooperative system for M-QAM (Quadrature Amplitude Modulation) signalling. The analysis is performed for selective DF based cooperative relaying with single as well as multiple relayed system. In particular, an alternate representation of Q-function is used to derive the closed-form expression of asymptotic symbol error rate probability (ASEP) over Rayleigh faded channels with high SNR approximation. Further, the analytical results are corroborated by Monte Carlo simulations for M-QAM MRC cooperative system.

关键词： Decode and Forward M-QAM Multiple relays Cooperative System

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Design and Implementation of Neuro-Fuzzy Control Approach for Robot's Trajectory Tracking

Design and Implementation of Neuro-Fuzzy Control Approach fo...

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International conference of electronics, Communication and Aerospace Technology (ICECA)

作者： Kiruba Sandou D Sunad kumara A N Binod Kumar Choudhary Shashikala Gurpur Sarishma Natrayan L M. SivaramKumar Department of Robotics and Automation Manakula Vinayagar Institute of Technology Pondicherry India Department of Computer Science and Engineering BGS Institute of Technology Adichunchanagiri University Mandya Karnataka India Department of Electrical and Electronics Engineering ARKA Jain University Jamshedpur Jharkhand India Faculty of Law Symbiosis Law School (SLS) Symbiosis International (Deemed University) (SIU) Pune Maharashtra India Department of Management Studies Graphic Era Deemed to be University Dehradun Uttarakhand India Department of Mechanical Engineering Saveetha School of Engineering SIMATS Chennai Tamilnadu India Department of EEE Karpagam Academy of higher education Coimbatore Tamiinadu

Achieving precise trajectory tracking while minimizing errors, reducing settling time, and curbing overshoot presents a significant challenge in the domain of robot-manipulator control. In response, this paper proposes a novel controller design for robot manipulators, incorporating two distinct approaches: a conventional fuzzy controller and an advanced Neuro-Fuzzy controller. These controllers are tailored to elevate trajectory tracking performance by simultaneously optimizing time characteristics in robot manipulator responses. To assess their efficacy, a range of test scenarios is devised, encompassing different trajectory types, including linear and nonlinear paths. Upon comparative analysis, the results highlight an intriguing contrast: while the fuzzy controller exhibits higher maximum overshoot and longer settling times in the robot's response, the Neuro-Fuzzy controller consistently demonstrates superior performance. The comprehensive error analysis such as Integral Square Error (ISE) and Integral Absolute Error (IAE) further underscores the capability of the Neuro-Fuzzy-based robot manipulator in delivering trajectory tracking precision. This study contributes to the advancement of trajectory control techniques for robot manipulators, paving the way for enhanced automation and performance across various applications.

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UAV and Machine Learning Based Refinement of a Satellite-Driven Vegetation Index for Precision Agriculture †

arXiv

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arXiv 2020年

作者： Mazzia, Vittorio Comba, Lorenzo Khaliq, Aleem Chiaberge, Marcello Gay, Paolo Department of Electronics and Telecommunications Politecnico di Torino Corso Duca degli Abruzzi 24 Torino10129 Italy PIC4SeR Politecnico Interdepartmental Centre for Service Robotics Turin10129 Italy 10095 Italy Institute of Electronics Computer and Telecommunication Engineering National Research Council of Italy c/o Politecnico di Torino Corso Duca degli Abruzzi 24 Torino10129 Italy

Precision agriculture is considered to be a fundamental approach in pursuing a low-input, high-efficiency, and sustainable kind of agriculture when performing site-specific management practices. To achieve this objective, a reliable and updated description of the local status of crops is required. Remote sensing, and in particular satellite-based imagery, proved to be a valuable tool in crop mapping, monitoring, and diseases assessment. However, freely available satellite imagery with low or moderate resolutions showed some limits in specific agricultural applications, e.g., where crops are grown by rows. Indeed, in this framework, the satellite’s output could be biased by intra-row covering, giving inaccurate information about crop status. This paper presents a novel satellite imagery refinement framework, based on a deep learning technique which exploits information properly derived from high resolution images acquired by unmanned aerial vehicle (UAV) airborne multispectral sensors. To train the convolutional neural network, only a single UAV-driven dataset is required, making the proposed approach simple and cost-effective. A vineyard in Serralunga d’Alba (Northern Italy) was chosen as a case study for validation purposes. Refined satellite-driven normalized difference vegetation index (NDVI) maps, acquired in four different periods during the vine growing season, were shown to better describe crop status with respect to raw datasets by correlation analysis and ANOVA. In addition, using a K-means based classifier, 3-class vineyard vigor maps were profitably derived from the NDVI maps, which are a valuable tool for growers. Copyright © 2020, The Authors. All rights reserved.

关键词： Unmanned aerial vehicles (UAV)

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Design and Implementation of IoT Enabled Smart Assistive Systems for Healthcare Applications

Design and Implementation of IoT Enabled Smart Assistive Sys...

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Communications and Information Technologies (GCCIT), Global Conference on

作者： Dankan Gowda V Srinivas D Rachakonda Srinivas Balaji Shesharao Ingole Priya Dongare Jadhav KDV Prasad Department of Electronics and Communication Engineering BMS Institute of Technology and Management Bangalore Karnataka India School of Business SR University Warangal Telangana India Department of Computer Science & Engineering Aditya Institute of Technology and Management Srikakulam Andhra Pradesh India Department of Robotics and Automation Symbiosis Institute of Technology Symbiosis International (Deemed University) Pune Maharashtra India (Research) Symbiosis Institute of Business Management Hyderabad Symbiosis International (Deemed University) Pune India

ISBN: (数字)9798350388916

ISBN: (纸本)9798350388923

The use of IoT technology in healthcare systems has been adopted in patient monitoring because IoT technology has been adopted rapidly in the systems. This paper discusses on design and implementation of an IoT integrated smart assistive health care system to enhance the precision and speed of patient health assessment. In the proposed system, wearable sensors are used to capture respiratory rate, pulse rate, blood pressure, oxygen saturation, and body temperature with data to be sent to the cloud server as and when it is received. Some of the features are, however, small data transmission delays, high accuracy in the physiological signals and long durations of monitoring due to the low power consumption. The simulations showed that the response time falls below 500ms, and physicians retain up to a 2 % variance to clinical grade devices, which actualized robust and effective patient care. The incorporation of predicting capacities, thus providing ways of early identification of health complications, makes the system applicable in chronic disease treatments and telemedicine.

关键词： Temperature sensors Temperature measurement Patient monitoring Accuracy Power demand Medical services Blood pressure Time factors Biomedical monitoring Wearable sensors

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Implementing Genetic Algorithms for Optimization in Neuro-Cognitive Rehabilitation robotics

Implementing Genetic Algorithms for Optimization in Neuro-Co...

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Cognitive robotics and Intelligent Systems (ICC - ROBINS), International Conference on

作者： L. B. Abhang Ravindra Changala Anudeb Ghosh Prabhakar S Manage Vuda Sreenivasa Rao B Kiran Bala Automation and Robotics Dept Pravara Rural Engineering College Loni Under. SPPU University Pune Department of Information Technology Guru Nanak Institutions Technical Campus Hyderabad India Department of Environmental Studies Siksha - Bhavana Visva-Bharati Santiniketan Department of Electronics and Communication KLE Technological University's MSSCET Belagavi Campus Belagavi Karnataka Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Vaddeswaram A.P the Department Department of Artificial Intelligence and Data Science K.Ramakrishnan College of Engineering Trichy

ISBN: (数字)9798350372748

ISBN: (纸本)9798350372755

The study explores the intersection of robotics and neuro-cognitive rehabilitation to offer personalized assistance for individuals with neurological disorders, emphasizing autism spectrum disorder (ASD). The proposed methodology integrates Genetic Algorithms (GAs) to optimize the performance of robotic interventions. The data collection phase involves compiling a comprehensive image dataset capturing facial expressions, gestures, and relevant visual cues associated with ASD. Leveraging robotic platforms designed for therapeutic interventions, feature extraction techniques identify intricate patterns within the data. Advanced algorithms, including GAs, classify the dataset into positive (ASD) and negative (non-ASD) categories. The framework introduces a Diagnosis Matrix for enhanced diagnostic precision, correlating observed robotic interactions with clinical assessments. An Ontology Knowledge base adapts responses based on evolving patient needs. The proposed method surpasses all others, achieving an accuracy of 95.08% and demonstrating superior precision, recall, and F1-score metrics. This indicates the efficacy of the proposed approach in achieving a well-balanced performance with high accuracy and robustness in correctly identifying positive instances. The results underscore the potential of the proposed method for classification tasks, showcasing its superiority in comparison to traditional SVM, CNN, and even a well-established deep learning architecture like VGG-16. The Receiver Operating Characteristic curve validates the model's discriminatory power.

关键词： Support vector machines Neurological diseases Visualization Knowledge based systems Receivers Ontologies Robustness

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Development of an Efficient Charging Control System for Pico-Hydro Power Generation Utilizing Multiple Impact Water Wheel (MIWW) with MPPT Control

Development of an Efficient Charging Control System for Pico...

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International Conference on Renewable Energy Research and Applications (ICRERA)

作者： Yusuke Asami Hiroshi Takami Fuminori Ishibashi Shota Kawate Hidemi Kurita Masaki Shimizu Graduate School of Electrical Eng. and Computer Science Shibaura Institute of Technology Tokyo Japan Dept. of Electrical Eng. and Robotics Course College of Engineering Shibaura Institute of Technology Tokyo Japan Dept. of Electrical Eng. Faculty of Engineering Shibaura Institute of Technology Tokyo Japan Koa Electronics Co. Ltd. Nagano Japan Harmony with Nature Technology Laboratory Nagano Japan Souken Group Nagano Japan

ISBN: (数字)9798350375589

ISBN: (纸本)9798350375596

This paper introduces an advanced charging control system for a Multiple Impact Water Wheel (MIWW) used in pico-hydropower generation. The control system maximizes energy conversion efficiency by employing a Maximum Power Point Tracking (MPPT) algorithm, which dynamically adjusts the system's operation based on real-time voltage and current measurements. Unlike traditional methods that rely on monitoring rotational speed, this approach simplifies the system by eliminating the need for speed sensors, thereby reducing costs and enhancing reliability. The control system is structured into four main operational phases: the water turbine acceleration phase, optimal control (MPPT) phase, drooping characteristic suppression phase, and overvoltage protection phase. Each phase is designed to optimize distinct aspects of system performance, ensuring stable and efficient power generation under varying water flow conditions. Experimental validation was conducted by subjecting the system to three different water pressure levels (0.036 MPa, 0.048 MPa, and 0.042 MPa). The results demonstrate that the system successfully maintained stable voltage and current, even during rapid fluctuations in water pressure, confirming the effectiveness of the proposed MPPT algorithm. By addressing the challenges of droop characteristics and overvoltage conditions, the control system ensures the reliability and efficiency of pico-hydropower systems. This research contributes to the development of cost-effective, efficient, and sustainable energy solutions, especially in regions lacking conventional power infrastructure.

关键词： Maximum power point trackers Water Fluctuations Heuristic algorithms Velocity control Wheels Sensor systems Voltage control Power generation Turbines

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