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RFID-Based Smart Secure E-Bike Parking Station

RFID-Based Smart Secure E-Bike Parking Station

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International Conference on electrical engineering, Computer Science and Informatics (EECSI)

作者： Tole Sutikno Tri Wahono Haris Imam Karim Fathurrahman Watra Arsadiando Hendril Satrian P Master Program of Electrical Engineering Universitas Ahmad Dahlan Yogyakarta Indonesia Undergraduate Program of Electrical Engineering Universitas Ahmad Dahlan Yogyakarta Indonesia Embedded System and Power Electronics Research Group (ESPERG) Yogyakarta Indonesia

ISBN: (数字)9798350355314

ISBN: (纸本)9798350355321

This research discusses the safety challenges faced by bicycle smart parking systems, which are often irregular and unsafe, especially in Indonesia. The purpose of this research is to develop an RFID-based smart parking system for electric bicycles that improves user safety and accessibility. The system is designed using components such as the NodeMCU 8266 microcontroller, RFID module, and solenoid lock, and is tested under real-world conditions. Using the $\mathrm{C}++$ programming language to be embedded in a microcontroller. Quantitative results show that the system achieved an 80% success rate in RFID detection on various materials with optimal performance through acrylic barriers. The system demonstrates better safety compared to traditional bicycle parking solutions, which contributes to increased public confidence in the safety of electric bicycles.

关键词： Microcontrollers Urban areas Metals Bicycles Materials reliability Automated parking Safety Solenoids Informatics Radiofrequency identification

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Internet of Things-Based Early Forest Fire Detection System with *** Platform

Internet of Things-Based Early Forest Fire Detection System ...

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International Conference on electrical engineering, Computer Science and Informatics (EECSI)

作者： Tole Sutikno Son Ali Akbar Tosan Aji Bayusuta Liya Yusrina Sabila P Hendril Satrian Master Program of Electrical Engineering Universitas Ahmad Dahlan Yogyakarta Indonesia Undergraduate Program of Electrical Engineering Universitas Ahmad Dahlan Yogyakarta Indonesia Embedded System and Power Electronics Research Group (ESPERG) Yogyakarta Indonesia

ISBN: (数字)9798350355314

ISBN: (纸本)9798350355321

Forest and land fires in Indonesia are a major concern for the government when entering the dry season. The researchers have widely developed early detection technology, including satellite and airborne-based technology, but it faces several limitations due to the influence of weather and other unavoidable factors. Furthermore, fire detection technology based on wireless sensor networks (WSNs) and the Internet of Things (loT) is one of the most effective solutions. This study developed a sensor node that includes an Arduino UNO, a smoke sensor, a fire sensor, and temperature and humidity sensors and code program using C++, to detect potential forest fires. We place these nodes at fire-prone points in the forest. Additionally, the gateway node receive data from the sensor node, process it using the NodeMCU ESP8266, and send it to the *** database for real-time report. The developed system's test results demonstrate that it can display and send data in real-time to the *** platform via an internet connection. Additionally, the base station's physical 12C 20x4 LCD screen displays the information. The forest fire early warning system functions well, and the test results show good detection and data transmission capabilities.

关键词： Temperature sensors Wireless communication Wireless sensor networks Temperature Transmitters Forestry Logic gates Real-time systems Data communication Internet of Things

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Tuberculosis Detection Based on Multiple Model Ensemble in Chest X-ray Image 10

Tuberculosis Detection Based on Multiple Model Ensemble in C...

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10th International Conference on Orange Technology, ICOT 2022

作者： Tsai, An-Chao Zhou, Zhe-Guang Ou, Yang-Yen Wang, I Jhing-Fa International Master Program of Information Technology and Application National Pingtung University Pingtung Taiwan National Cheng-Kung University Department of Electrical Engineering Tainan Taiwan

ISBN: (纸本)9781665454193

Tuberculosis is a legal infectious lung disease, a chronic infectious disease caused by tuberculosis. The diagnosis of the confirmed person is usually judged by chest X-ray images, and the sputum smear is used to detect the presence of tuberculosis in the sputum. Screening high-risk individuals can effectively prevent the spread of tuberculosis;however, chest X-ray image interpretation and sputum testing take a long time. When infectious tuberculosis patients are found, tuberculosis has already spread. We propose a tuberculosis diagnostic triage system and a tuberculosis detection system based on preprocessing of lung image segmentation. In the tuberculosis diagnosis and triage system, AI interpretation is performed immediately after the patient's chest X-ray is taken, and abnormal tuberculosis cases are immediately listed. Lung field cropping through U-Net for classification in the form of a multiple ensemble system, including the use of EfficientNet-BO, Densenet121, and Xception. After marking abnormal lung images, we use a tuberculosis detection system to find patients with tuberculosis and use GRAD-Cam to display the image areas that are of most interest to the model, similar to a heat map, allowing us to know the model Predicting focus areas for tuberculosis. We used specificity, sensitivity, accuracy, and area under the receiver operating characteristic curve (AUROC) to evaluate the classification model performance. © 2022 IEEE.

关键词： Image segmentation

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A Friendly Interface Medical Service Robot with Fault-tolerant Voice Recognition and Mobile Phone Remote Control 10

A Friendly Interface Medical Service Robot with Fault-tolera...

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10th International Conference on Orange Technology, ICOT 2022

作者： Ou, Yang-Yen Tsai, An-Chao Hsu, Pin-Yang Chen, Che-Wen Wang, Jhing-Fa National Cheng-Kung University Department of Electrical Engineering Tainan Taiwan National Pingtung University International Master Program of Information Technology and Application Pingtung Taiwan

ISBN: (纸本)9781665454193

In recent years, due to the impact of COVID-19 around the world, there has been a serious shortage of medical resources. In order to supplement the manpower and fear that medical staff's contact with patients will cause a breach in the epidemic, reduce the workload of nurses, and help nurses perform repetitive tasks so that nurses can concentrate more on the patient's condition. Therefore, this paper proposes M-Robot, which is a friendly interface service robot based on the Android system and can be controlled by voice, touch, and remote control in the medical care field. The system is mainly divided into two parts. One is the web server. The web server is divided into two parts: front-end and back-end. The front-end is responsible for friendly user interface management, and the back-end is for accessing the SQLite database, as well as processing speech recognition and semantic understanding in voice services. In the other part, we use TEMI robot to develop and complete the desired service. Its service content includes environment introduction, delivery service, questionnaire survey, broadcast car, scheduling reminder, follow-up record, and patient instruction video. In the voice control mode, the user can say the wake-up word to the robot and say the required service content, and the robot will execute after receiving the message;in the remote control mode, we provide a friendly web interface for remote control. As well as the information needed to manage various services. © 2022 IEEE.

关键词： Remote control

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3D object detection combined with inverse kinematics to achieve robotic arm grasping 10

3D object detection combined with inverse kinematics to achi...

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10th International Conference on Orange Technology, ICOT 2022

作者： Chen, Che-Wen Tsai, An-Chao Zhang, Yu-Hong Wang, Jhing-Fa National Cheng-Kung University Department of Electrical Engineering Tainan Taiwan International Master Program of Information Technology and Application National Pingtung University Pingtung Taiwan

ISBN: (纸本)9781665454193

In recent years, the research of autonomous robotic arms has received high attention from academia and industry, so this thesis aims to develop a visual detection system for robotic arms to grasp and place objects. Object detection technology The purpose of which is to locate objects of interest (target) in a given image, providing object location bounding boxes and categories. ROS is a set of open-source software libraries designed to simplify the creation of complex and robust on various robotic platforms. the task of the robot behavior. The proposed scheme uses a camera with depth information and combines target localization and edge detection algorithms to accurately measure the relative distance between the object and the robot arm. The process includes deep neural network construction and use, robotic arm positioning, object bounding box position information, and robotic arm movement control. Considering the visual scale, the relative distance between the target and the robotic arm is calculated so that the robotic arm can grasp the target and place the object in a specific position. This paper introduces how to combine the deep learning object detection model and ROS moveit! to complete the object identification and grasp and place the robotic arm. © 2022 IEEE.

关键词： Object detection

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Application of Named Entity Recognition by Self-Attention BiLSTM-CRF to Chinese Prescription Document 10

Application of Named Entity Recognition by Self-Attention Bi...

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10th International Conference on Orange Technology, ICOT 2022

作者： Tsai, An-Chao Lee, Tsung-Yen Ou, Yang-Yen Wang, Jhing-Fa National Pingtung University International Master Program of Information Technology and Application Pingtung Taiwan National Cheng-Kung University Department of Electrical Engineering Tainan Taiwan

ISBN: (纸本)9781665454193

Reporting the contents of the prescription is a time-consuming and labor-intensive task for pharmacists, and it is easy to make mistakes in this kind of work that requires repeated confirmation under the time pressure of customers. Because medicines usually have an impact on the human body, if the wrong medicine is accidentally provided to the customer, it may even lead to death. Therefore, in our work, we train a bidirectional LSTM-CRF network combined with an attention mechanism to perform the NER task on prescription notes and extract key prescription declaration information. The semi-automatic labeling module was implemented using a rule-based approach, and a total of 636 different prescription notes were trained and tested, including hospitals, clinics, and medical centers. The identification accuracy rate is more than 90 % in each field of declaration information. Provides a UI interface for subsequent identification to facilitate pharmacists to modify the identification content and declare key information. © 2022 IEEE.

关键词： Hospitals

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Robot and Human Interaction using Natural Language Understanding in Indonesian based on Mental Image Based Understanding

Robot and Human Interaction using Natural Language Understan...

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International Conference of Information and Communication Technology (ICoICT)

作者： Muhammad Giriarda Abrari Hilwadi Hindersah Pranoto Hidaya Rusmin Master Program in Electrical Engineering Bandung Institute of Technology Bandung Indonesia School of Electrical Engineering and Informatics Bandung Institute of Technology Bandung Indonesia

Robots, in order to understand human commands, could be possible if there is an interaction between them. Possible interaction including the Natural Language, that humans have used to communicate with each other. The method used in this research for robots to understand Natural Language is Mental Image Directed Semantic Theory (MIDST) which uses unique Lmd formula as a basis for computing the Natural Language Understanding (NLU) processes. Equipped with support modules such as Speech to Text, Text to Speech, and Synonym Search Algorithm the robot successfully to receive, understand, and issue responses according to the Natural Language expressions given in Indonesian Language. The movement of the robot is also simulated in a two-dimensional plane to demonstrate its ability to serve humans.

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An Efficient Reconfigurable Parameterized Convolutional Neural Network Accelerator on FPGA Platform

An Efficient Reconfigurable Parameterized Convolutional Neur...

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IEEE International Conference on Consumer Electronics (ICCE)

作者： Yeong-Kang Lai Chien-Hung Lin Department of the Electrical Engineering Master Program in Semiconductor and Green Technology National Chung Hsing University Taichung Taiwan R.O.C

ISBN: (数字)9798331521165

ISBN: (纸本)9798331521172

This paper presents an efficient reconfigurable parameterized convolutional neural network (CNN) accelerator designed for FPGA platforms. The core of the accelerator allows flexible adjustments of input channel parallelism (Pc) and convolution filter parallelism (Pn) to meet the needs of various CNN models, optimizing both resource utilization and computational efficiency. The architecture is applied specifically to infrared (IR) and visible light (VI) image fusion, enabling real-time processing on an FPGA with significantly reduced latency. Experimental results demonstrate that the accelerator reduces latency to 192 ms while maintaining high image quality, achieving efficient image fusion on the FPGA platform.

关键词： Image quality Convolution Computer architecture Parallel processing Real-time systems Convolutional neural networks Resource management Image fusion Field programmable gate arrays Hardware acceleration

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Stability Analysis of Speed Control Systems for Variable Speed Wind Power Generation Systems Using SRG and Capacitor-Less AC-AC Converters

Stability Analysis of Speed Control Systems for Variable Spe...

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International Conference on Renewable Energy Research and Applications (ICRERA)

作者： Haozheng Jia Kazuhiro Ohyama Engineering Master's Program of Electrical Engineering Graduate School Fukuoka Institute of Technology Higashi-ku Fukuoka Japan Department of Electrical Engineering Faculty of Engineering Fukuoka Institute of Technology Higashi-ku Fukuoka Japan

ISBN: (数字)9798350375589

ISBN: (纸本)9798350375596

This paper extends previous work on simulation models of switched reluctance generators (SRG) by demonstrating that selecting appropriate proportional-integral (PI) gain settings enables rapid adaptation to wind speed variations, thereby ensuring system stability. The study shows that employing continuously varying gains provides a detailed understanding of the system's dynamic performance, offering insights into the effects of different gain profiles on stability. The transient responses induced by changes in PI gain are effectively mitigated through the introduction of a compensatory signal derived from the system's maximum transient response. Alternatively, it has been demonstrated that a gain with a smooth transition profile, such as one based on a Bessel curve, achieves a comparable stabilizing effect by eliminating transient phenomena and improving response smoothness. These measures collectively enhance the system's stability and robustness, making the control framework more adaptable to dynamic conditions and offering practical insights for the design of wind power generation systems. The findings highlight the potential of these methods to optimize energy conversion and improve the operational reliability of SRG-based systems under varying wind speeds.

关键词： Transient response Renewable energy sources System dynamics Wind speed Velocity control Switches Wind power generation Stability analysis Robustness Transient analysis

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An Environmentally Friendly Fishing Android-Based Mobile Device App for Penghu Islands (Pescadores), Taiwan

An Environmentally Friendly Fishing Android-Based Mobile Dev...

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Consumer Technology (ICCT-Pacific), International Conference on

作者： Hung-Tu Lin Ke-Qing Yan Ying-Zun Fang Xiang-Rui Huang Liang-Bi Chen Department of Computer Science and Information Engineering National Penghu University of Science and Technology Penghu Taiwan Department of Electrical Engineering Master Program in Electrical Engineering and Computer Science National Penghu University of Science and Technology Penghu Taiwan

ISBN: (数字)9798331504120

ISBN: (纸本)9798331504137

Penghu Islands (Pescadores), Taiwan's outlying islands surrounded by the sea, boast rich fishing resources that attract many anglers. However, successful fishing requires more than just gear: it involves understanding the varying fish species available in different locations, times, and climates, as well as adhering to relevant laws and regulations. To address these needs, this paper proposes an environmentally friendly fishing Android-based mobile device App specifically for the Penghu Islands. The proposed Android-based mobile device App aims to gather essential information, including local fishing regulations, aquatic safety tips, and important precautions. Its goal is to equip fishermen with the resources necessary to fish successfully and with peace of mind.

关键词： Sea measurements Length measurement Fish Regulation Mobile applications Tides Protection Smart phones Meteorology Lenses

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