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9th International Conference on Big Data Analytics, ICBDA 2024

作者： Nishimura, Kazuki Ishida, Akio Murakami, Jun Yamamoto, Naoki National Institute of Technology Kumamoto College Advanced Course of Electronics and Information Systems Engineering Kumamoto Japan National Institute of Technology Kumamoto College Faculty of Liberal Arts Kumamoto Japan National Institute of Technology Kumamoto College Faculty of Electronics and Information Systems Engineering Kumamoto Japan

ISBN: (纸本)9798350352962

Gait analysis is used in a wide range of fields, including clinical applications such as diagnosis and rehabilitation, investigation of gender and racial differences, and personal identification, which is important in forensic investigations and security. In recent years, gait data can be obtained from force plates, 3D motion capture, RGB cameras, and so on. In this study, we applied principal component analysis (PCA) to gait data captured with an RGB camera and analyzed the main data characteristics. However, the data used here is joint information whose posture is estimated using neural networks (NN) from gait videos taken with the camera. Furthermore, we created a NN model for personal identification using data whose dimensionality was reduced using PCA and attempted the identification. © 2024 IEEE.

关键词： Phishing

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Robotic Arm for Selective Leaf Plucking For Medicinal Use 1

Robotic Arm for Selective Leaf Plucking For Medicinal Use

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1st International Conference on Cyber Physical systems, Power electronics and Electric Vehicles, ICPEEV 2023

作者： Khobragade, Lakhan Singh, Shashank Kumar Kapoor, Harbhan Kesari, Saurabh Venkatesh, Kumbar Pal, Prashant National Institute of Electronics and Information Technology Electronics System Engineering Gondia India Scientist 'b' National Institute of Electronics and Information Technology Aurangabad India National Institute of Electronics and Information Technology Electronics System Engineering Bhilai India Scientist 'c' National Institute of Electronics and Information Technology Aurangabad India National Institute of Electronics and Information Technology Electronics System Engineering Hyderabad India

ISBN: (纸本)9798350323566

Selective leaf plucking plays a vital role in the production of herbal medicines due to an escalating demand for natural medications. A manual process can be both time-intensive and laborious;hence it is essential to design an automated system that enables efficient selective leaf plucking. To address this need, we constructed a robotic arm equipped with a unique gripper that selectively picks only necessary leaves from medicinal plants. Having been tested on multiple medicinal plants, the system demonstrated a commendable degree of accuracy in selectively harvesting the necessary leaves. © 2023 IEEE.

关键词： Robot programming

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CareGenic: AI/ML Based Interactive Medicines Prescription system 3

CareGenic: AI/ML Based Interactive Medicines Prescription Sy...

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3rd Odisha International Conference on Electrical Power engineering, Communication and Computing technology, ODICON 2024

作者： Ahmed, Syed Ammar Umair, Shaikh Prasad, Ritesh Singh, Shashank Kumar Hati, Anirban J. Department of Electronic System Engineering National Institute of Electronics and Information Technology Aurangabad431001 India National Institute of Electronics and Information Technology Sr. Technical Assistant Department of Electronic System Engineering Aurangabad431001 India National Institute of Electronics and Information Technology Scientist B Department of Electronic System Engineering Aurangabad431001 India Scientist C Department of Electronic System Engineering National Institute of Electronics and Information Technology Aurangabad431001 India

ISBN: (纸本)9798350354379

CareGenic leverages Artificial Intelligence (AI) and Machine Learning (ML) to develop a robust system for predicting illnesses based on symptoms and recommending appropriate medications. This study addresses the growing need for intelligent healthcare solutions that can assist medical professionals and improving patient outcomes. The system utilizes a Random Forest algorithm trained on extensive healthcare datasets to predict illnesses accurately. Furthermore, it recommends medications based on the predicted illnesses, ensuring a holistic approach to patient care. Implemented on a Raspberry Pi 3 with an interactive LCD display interface, CareGenic provides an accessible and efficient tool for healthcare environments. The system's performance was evaluated using metrics such as accuracy, precision, and recall, achieving 95%, 93%, and 92%, respectively. These results demonstrate the efficacy of CareGenic in real-world scenarios. Compared to existing systems like IBM Watson Health and Google Health, CareGenic offers a more integrated approach by combining symptom-based predictions with medication recommendations. Future work will focus on enhancing the model's accuracy and expanding its capabilities to cover a broader range of illnesses and medications. This paper provides detailed insights into the system's architecture, methodology, implementation, and evaluation, highlighting the significant potential of AI and ML in revolutionizing healthcare. © 2024 IEEE.

关键词： Liquid crystal displays

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Plant Health Prediction Using RGB-D Method and VGG16 Model 4

Plant Health Prediction Using RGB-D Method and VGG16 Model

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4th IEEE International Conference on Data engineering and Communication systems, ICDECS 2024

作者： Tiwari, Shivansh Chaudhary, Shyant Raj Pal, Prashant Singh, Shashank Kumar Bansod, Saurabh National Institute of Electronics and Information Technology Aurangabad Electronic System Engineering India National Institute of Electronics and Information Technology Aurangabad Scientist'B' India National Institute of Electronics and Information Technology Aurangabad Scientist'C' India

ISBN: (纸本)9798350393354

Traditional plant disease detection methods rely on human expert visual inspection, which can be time-consuming and subjective. As a result, automated and objective methods for detecting plant health and disease are required. In this study, we offer a unique method for detecting plant health utilising RGB-D pictures and the VGG16 architecture. Plant health detection is a critical component of precision agriculture, which seeks to monitor and manage plants in an efficient and sustainable manner. In terms of precision and efficiency, our method exceeds previous solutions. On the validation set, our model achieves an accuracy of 98.9%, which is much greater than the accuracy of previous approaches. Moreover, in contrast to current approaches, our technique necessitates reduced computational resources and training/prediction time. Finally, utilising RGBD pictures and deep learning algorithms, we suggest a viable solution to the difficulty of plant health identification. Our method can give precise and timely information regarding plant health status, which can help to improve agricultural efficiency and sustainability. © 2024 IEEE.

关键词： Precision agriculture

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Research on Metamaterial technology for Microwave Wireless Power Transfer

Research on Metamaterial Technology for Microwave Wireless P...

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2024 International Symposium on Antennas and Propagation, ISAP 2024

作者： Yamamoto, Tsunayuki Kobashi, Takeo Maruyama, Tamami Department of Integrated Science and Technology National Institute of Technology Tsuyama College Tsuyama-shi Japan Advanced Electronics and Information System Engineering Course National Institute of Technology Tsuyama College Tsuyama-shi Japan Department of Production Systems Engineering Institute of Technology Hakodate College Hakodate-shi Japan

ISBN: (纸本)9798350364774

In this paper, two technologies of metamaterial for microwave wireless power transfer are shown. One is a zeroth-order resonance for a microwave snow melting system, and another one is a focusing reflector for realizing of a highly efficient wireless power transfer space. A zeroth-order resonance leads a uniformed microwave heating and a flexibility of feeding in a snow melting system. Focusing reflector can make some electromagnetic hot and null points in a space. These are expected to be required technologies for highly efficient wireless power transfer. © 2024 IEEE.

关键词： Reflection

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Mobile Generalized Category Discovery for Road Damage Detection

Mobile Generalized Category Discovery for Road Damage Detect...

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2024 International Symposium on Intelligent Signal Processing and Communication systems, ISPACS 2024

作者： Rintaro, Akashi Matsushima, Kousuke Advanced Engineering Course National Institute of Technology Kurume College Kurume Japan Department of Control and Information Systems Engineering National Institute of Technology Kurume College Kurume Japan

ISBN: (纸本)9798350389210

In recent years, there has been a considerable amount of research conducted on the topic of road damage detection using deep learning techniques, with the aim of supporting the safe driving of mobility vehicles. To date, convolutional neural networks and supervised learning with large datasets have been employed for road damage detection, demonstrating high classification accuracy. However, all images in the dataset must be manually labeled. Moreover, images cannot be classified into classes that are not included in the training dataset. The real world presents a vast array of damage types, and the unlabeled input images encompass both known and unknown classes. This renders the system unsuitable for use in providing safe driving support for mobility. Considering this background, Generalized Category Discovery (GCD) has been put forth as a potential solution, aiming to achieve accurate classification in a comprehensive setting where both known and unknown classes are present in unlabeled data. The purpose of this study is to propose a novel model for GCD with the aim of providing safe driving assistance for mobility. The model is based on the pre-trained MobileViT. To validate its performance, this paper examines its performance on the general CIFAR-10 and CIFAR-100 datasets and on a road damage-specific dataset, and discusses the challenges encountered. © 2024 IEEE.

关键词： Convolutional neural networks

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Multi-Lens Visual SLAM with Integrated Moving Object Removal using Unsupervised Models 1

Multi-Lens Visual SLAM with Integrated Moving Object Removal...

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1st International Conference on Robotics, engineering, Science, and technology, RESTCON 2024

作者： Hara, Ryoichirou Matsushima, Kousuke Kurume College Advanced Engineering Course National Institute of Technology Fukuoka Japan Kurume College National Institute of Technology Department of Control and Information Systems Engineering Fukuoka Japan

ISBN: (纸本)9798350348842

In advanced Driver-Assistance systems (ADAS), SLAM (Simultaneous Localization and Mapping) technology is required to accurately estimate the position and orientation of onboard cameras. Compared to LiDAR SLAM, Visual SLAM has the advantage of collecting rich environmental information at a lower cost. However, the accuracy of the estimated pose and map construction is greatly reduced by moving objects in the camera scene. To solve this problem, a multi-camera SLAM has been proposed, which works robustly in dynamic environments by using multiple cameras to acquire more feature points from omnidirectional environmental information. In this paper, we propose a robust SLAM system based on a multi-camera SLAM system combined with object detection and semantic segmentation networks. We then evaluate the robustness of the proposed method by comparing it to SLAM systems that do not remove moving objects. Experimental results showed that the Absolute Trajectory Error and the Relative Position Error performed better than conventional SLAM by masking moving objects. It also showed that more static objects were detected and constructed in the map. © 2024 IEEE.

关键词： Object detection

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IoT Based Smart Irrigation system for Crops and Water Leakage Detection Using Image Processing

IoT Based Smart Irrigation System for Crops and Water Leakag...

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2023 IEEE Global Conference on information Technologies and Communications, GCITC 2023

作者： Ranpise, Shubham. H. Mandve, Hritik Charan, Surya Pal, Prashant Singh, Shashank Kumar Bansod, Saurabh Kumar, Yogesh National Institute of Electronics and Information Technology Aurangabad India National Institute of Electronics and Information Technology Electronic System Engineering Aurangabad India

ISBN: (纸本)9798350308167

This paper will provide an image-processing technique for locating a water leak in subterranean pipes. When intelligent cities started to appear, several countries began to address this problem by utilizing technologies like intelligent water networks. However, this idea seeks to contribute to the context of smart cities using less complex and non-destructive technology. This study also makes a case for replacing the pretreatment stage of image processing with deep learning or machine learning techniques. It will be shown that this feature helps emphasize interesting spots and boost contrast. Thermal images of the soil's surface collected with an underground water leak were used to test the hypothesis. These conditions were presented in a lab using a flawless sandy soil model. Three sensors - ultrasonic sensors, soil moisture sensors, and temperature sensors - that are connected to a Raspberry Pi are used in this project. The system will use the idea of image processing to collect data from the plants. Before the fertilizer provision procedure is continued, this data will be compared to the Leaf Color Chart (LCC) chart. The project aims to create an effective irrigation system based on IoT. Utilizing sensors and image processing to improve irrigation effectiveness and monitor the soil's humidity, moisture, and temperature levels year-round. © 2023 IEEE.

关键词： ANN GBT IoT MEL SSL

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Frequency reconfigurable antenna actuated by inflated triangular structure:Design and analysis

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Chinese Journal of Aeronautics 2023年第5期36卷 280-285页

作者： Jiaming GUO Xinghan QIU Jiawei ZHANG Lamei ZHANG Changguo WANG School of Astronautics Harbin Institute of TechnologyHarbin 150001China National Key Laboratory of Science and Technology on Advanced Composites in Special Environments Harbin 150001China School of Electronics and Information Engineering Harbin Institute of TechnologyHarbin 150001China

This paper proposes a frequency reconfigurable triangular antenna actuated by an inflated triangular *** open path antenna is transformed from an open type to a closed structure by *** structures are easy to manufacture by fusing 2 inextensible membranes together along a defined pattern of ***,the prediction of their deployed shape remains a *** solve the pattern changed problem,guided by geometric analyses and local buckle characteristics,the inflated triangular structure has been designed and verified by experiment and *** the process of transformation of the antenna,the resonant frequency of the antenna is changed because this frequency is determined by the conformational *** resonant frequency changes from GHz to kHz when the design of initial structure sizes is from millimeter to *** measured peak gains,the frequency,and the radiation direction are also reconfigurable by the initial ***,the reconfigurable resonator array is presented,which is coupled to electric fields to absorb all incident *** this work,the changed pattern design by inflating is applied to the antenna design,and its frequency reconfigurability is *** the electricity performance analysis of the reconfigurable antenna,precise manufacturing will be possible and provide guidance for manufacturing frequency reconfigurable antennas.

关键词： Free kink design Frequency Reconfigurable Antenna(FRA) Inflated Return losses Thin film

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Human Assistive Rehabilitation system for Lower-limb using Exoskeleton

Human Assistive Rehabilitation System for Lower-limb using E...

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2023 International Conference on Consumer electronics - Taiwan, ICCE-Taiwan 2023

作者： Kawai, Yasunori Miyazaki, Takato Miyoshi, Takanori National Institute of Technology Ishikawa College Department of Electrical Engineering Ishikawa Japan National Institute of Technology Ishikawa College Advanced Engineering Course Electronic and Mechanical Engineering Course Ishikawa Japan Nagaoka University of Technology Department of System Safety Niigata Japan

ISBN: (纸本)9798350324174

This paper considers a human assistive system of the rehabilitation for lower-limb using the exoskeleton. When the patient feels the fatigue in the rehabilitation, the power assist is needed to continue and to stop safety. First, the proposed power assist equipment using exoskeleton is indicated. The DC motor, the torsion spring, worm wheel, worm gear are used. Next, the control system using PI controller is proposed. The encoder attached to the knee joint is used as the reference value and the encoder attached to the motor is controlled by the motor. Finally, an experiment of repeated flexion and extension of the knee joint is conducted. It is verified that the motor can be controlled to be same angle of the knee angle. Therefore, the power assist by the exoskeleton is useful for the rehabilitation. © 2023 IEEE.

关键词： DC motors

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