2023 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC)最新文献

{"title":"Pose Capturing and Evaluation in a VR Environment","authors":"Karn Kiattikunrat, T. Leelasawassuk, S. Hasegawa, C. Mitsantisuk","doi":"10.1109/ITC-CSCC58803.2023.10212946","DOIUrl":"https://doi.org/10.1109/ITC-CSCC58803.2023.10212946","url":null,"abstract":"This proposed method contributes to the existing body of knowledge and lays a strong foundation for future advancements in the field of VR-based pose analysis and interaction. As the technology continues to evolve, it is expected that further improvements and innovations will emerge, further enhancing the capabilities and applications of pose capturing and evaluation in VR environments. In this study, we introduce an innovative method for evaluating and comparing human postures by harnessing the power of optical motion capture and virtual reality (VR) technologies. Our cutting-edge pose matching algorithm enables users to refine their performance by providing real-time feedback on their postural alignment with a template pose. Capitalizing on the high accuracy and low latency of optical motion capture systems, our approach records detailed posture information, including time stamps, frame indices, and the orientation and position of multiple body joints in Cartesian coordinates. The algorithm computes a similarity score between the user's pose and the template by calculating a normalized loss function based on their 3D posture data. We seamlessly integrate the evaluation model into a VR environment tailored for posture imitation exercises. The template pose is pre-recorded, and the user's pose is dynamically synchronized with the physical world, visualized as an interactive 3D humanoid model within the virtual space. As users mimic the displayed postures and movements, the system generates instantaneous feedback on the similarity score, empowering them to refine their technique and enhance their performance, all within a safe and immersive virtual setting. As a result, we have developed a versatile VR application that successfully compares the similarity of postures and provides users with valuable feedback to improve their skills. The application demonstrates the efficacy of our pose matching algorithm and serves as a foundation for further development and expansion into various domains, including sports training, rehabilitation, and performance arts.","PeriodicalId":220939,"journal":{"name":"2023 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122083954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Drone-Based Inspection of Broken and Defected Pipes on Metal Roofs","authors":"Abdullah Muhammad, Kiseong Lee, Chaejin Lim, Junhee Hyeon, Zafar Salman, Dongil Han","doi":"10.1109/ITC-CSCC58803.2023.10212664","DOIUrl":"https://doi.org/10.1109/ITC-CSCC58803.2023.10212664","url":null,"abstract":"The roofs of large industrial complexes are subject to various types of damage caused by weather, moisture, corrosion, and vibrations. The detection of such damage, particularly long and thin pipe structures, is challenging due to the high number of lines and edges present in the image. Traditional image processing methods and object detection models have limited success in identifying pipe defects due to weak appearance clues. Our approach addresses this issue by using Spatial CNN (SCNN) to capture the spatial relationships of pixels across the image, enabling the detection of long continuous shape structures. We applied our approach to a dataset of drone imagery of industrial roofs and achieved promising results in detecting pipe defects. Our methodology outperforms traditional image processing methods by a large margin. In conclusion, our approach provides a promising solution for automated pipe defect detection on industrial roofs, which can be extended to other similar scenarios.","PeriodicalId":220939,"journal":{"name":"2023 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115485504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Convolutional Transformer-Based Deblurring Model for X-Ray Images","authors":"Hyunyong Lee, Nac-Woo Kim, Jungi Lee, S. Ko","doi":"10.1109/ITC-CSCC58803.2023.10212709","DOIUrl":"https://doi.org/10.1109/ITC-CSCC58803.2023.10212709","url":null,"abstract":"Image deblurring is an important pre-processing for improving relevant computer vision tasks. In this paper, we are interested in conducting deblurring X-ray images. Using a convolutional transformer as the main building block, we build an AutoEncoder-style deblurring model for X-ray images. From the experiments using the public X-ray image dataset, we show that our model conducts the deblurring operation well. For example, in terms of structural similarity (SSIM) as a performance metric, our model improves SSIM by up to 27% compared to the blurry images.","PeriodicalId":220939,"journal":{"name":"2023 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124802535","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Meal Recommendation System for the Elderly (MRS)","authors":"Piyanuch Charernmool, Chonlasit Tawornying, Theerasak Prapakornwanichakun, Pavarit Vanijkachorn, P. Visutsak, Fuangfar Pensiri","doi":"10.1109/ITC-CSCC58803.2023.10212928","DOIUrl":"https://doi.org/10.1109/ITC-CSCC58803.2023.10212928","url":null,"abstract":"In developing countries, the well-being of the elderly is not given enough attention, especially in terms of nutrition. This is a vital point since the meal which the elderly eat typically reflects their health. This paper aims to research and develop a web-based system with the capacity to design appropriate and healthy meal plans for the elderly by nutrition specialist's recommendation. Eating healthy meal plans for a person helps to have good health. It was found that the elderly with diabetic mellitus and kidney failure had the better health together with good mental health. Moreover, the system can accurately calculate the optimal number of calories which the elderly should have each day. A supporting website was developed using HTML and VB.net for expert evaluation","PeriodicalId":220939,"journal":{"name":"2023 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125368311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Simple Clustering Method for Binary Data based on a Binary Associative Memory","authors":"Kazuma Kiyohara, Toshimichi Saito","doi":"10.1109/ITC-CSCC58803.2023.10212661","DOIUrl":"https://doi.org/10.1109/ITC-CSCC58803.2023.10212661","url":null,"abstract":"This paper studies clustering methods for binary data based on nonlinear dynamics in a binary associative memory (BAM) characterized by ternary connection parameters and signum activation function. First, as a set of binary data is given, we select several the center candidates. Applying a simple learning rule to the candidates, we obtain a BAM having multiple fixed points. Second, each datum is applied as an initial point and basin of attraction to a fixed point gives a cluster of the datum. Third, the clustering is evaluated as compared with desired distribution on the clusters. Repeating these three steps, the algorithm explores better clusters. Applying the algorithm to typical examples, the algorithm efficiency is confirmed.","PeriodicalId":220939,"journal":{"name":"2023 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128545350","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Herbal Liqueur Effect Through Sublingual Vein Imaging Using Smartphone and Deep Learning","authors":"Maho Taniai, Kaito Okazaki, M. Hasegawa","doi":"10.1109/ITC-CSCC58803.2023.10212723","DOIUrl":"https://doi.org/10.1109/ITC-CSCC58803.2023.10212723","url":null,"abstract":"A method for visualizing the effects of consuming the herbal liqueur Yomeishu by acquiring images of sublingual veins using a smartphone camera with 50-megapixel resolution, the resolution of which has rapidly improved in recent years, is discussed. A simple configuration using a commercially available ring light and a polarizing film can be used to acquire clear images of sublingual veins. Using a ring light provides a stable light source, and by attaching a polarizing film orthogonally to the ring light and lens, it is possible to eliminates light reflection caused by saliva. We propose a method involves training a deep learning the sublingual veins before and after the experience of consuming Yomeishu. When a new image is inserted into the model, it generates an output value for the liquor effect. Analysis of the results obtained with the trained neural network reveals the sublingual position of the effect of taking Yomeishu.","PeriodicalId":220939,"journal":{"name":"2023 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127860692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"DeepTooth: Estimating Age and Gender with Panoramic Radiograph Image","authors":"Wanita Somdej, Athitiya Thamvongsa, Natthanich Hirunchavarod, Natnicha Sributsayakarn, S. Pornprasertsuk-Damrongsri, Varangkanar Jirarattanasopha, Thanapong Intharah","doi":"10.1109/ITC-CSCC58803.2023.10212499","DOIUrl":"https://doi.org/10.1109/ITC-CSCC58803.2023.10212499","url":null,"abstract":"Age estimation is one of forensic science's most important steps for personal identification. As a durable tissue, dental characteristics assessed from radiographs have been used to estimate the chronological age. However, current age estimation methods from dental radiographs are complicated, time-consuming, and highly dependent on manual estimation, which is prone to error. In this research, we developed models for estimating the age and gender of humans from radiographic images using the EfficientNet called DeepTooth model. This study proposes one classification model for gender classification, one regression model for age estimation, and three classification models for age estimation (one model trained from both genders and the other two trained from only males or females). For age estimation, the classification and regression models trained from both genders achieved RMSE values of 5.09 and 2.26, respectively, while the model trained from male or female achieved an average of 4.74. For gender classification, we used the same backbone and data-splitting strategy. The model accuracy was 70.32 percent.","PeriodicalId":220939,"journal":{"name":"2023 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124483952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Model for Prediction of Energy Consumption in Residential Buildings Based on Transfer Learning","authors":"S. Ryu, Yunjae Kim, Jiwon Kim, Jihye Shin, Junseok Lee, Hyeonjoon Moon","doi":"10.1109/ITC-CSCC58803.2023.10212830","DOIUrl":"https://doi.org/10.1109/ITC-CSCC58803.2023.10212830","url":null,"abstract":"As Climate change has become a major issue worldwide, the importance of building energy management systems (BEMS) is increasing. Because of obligation of public institutions to introduce BEMS and increase in BEMS installation due to the increase in smart buildings, It has become essential to understand and analyze about energy consumption to predict it in order to reduce carbon emissions and strengthen energy-saving policies. Through many previous studies, several analysis models have been proposed that can accurately predict energy consumption, and these models have shown excellent performance in each study. However, to obtain interesting results, a sufficient amount of training data is required. Obtaining a satisfactory amount of data sets generally requires a lot of time and effort, and sometimes it is impossible. This is an obstacle to applying deep learning models to many tasks. In this study, we propose a method for supplementing insufficient performance by transferring knowledge from similar types of data so that deep learning models can perform well even with sparse data sets.","PeriodicalId":220939,"journal":{"name":"2023 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116349316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Tai Chi Exercise Posture Detection and Assessment for the Elderly Using BPNN and 2 Kinect Cameras","authors":"Sarawin Kanchanapaetnukul, Rungarun Aunkaew, Piyanuch Charernmool, M. Daoudi, K. Saraubon, P. Visutsak","doi":"10.1109/ITC-CSCC58803.2023.10212570","DOIUrl":"https://doi.org/10.1109/ITC-CSCC58803.2023.10212570","url":null,"abstract":"Exercise and recreation are beneficial to all genders and ages, exercise reduces stress and makes people healthy. Physical limitation among the elderly is the major concern and needed to be taking care for the elderly exercise. Low-impact exercises such as walking, slow jogging in the park, and Tai Chi are recommended for the elderly. Tai Chi is a slow and gentle exercise, which can help the circulatory system and dementia in the elderly; it also helps the elderly to get socialized and make new friends. Unfortunately, in the COVID-19 pandemic, people must stay in the house and avoid social activities including outdoor exercises and recreation. This paper aims to develop Tai Chi exercise posture detection and assessment system for helping the elderly to practice Tai Chi at home by themselves. The system provides Tai Chi video clips for demonstration and the graphics user interface (GUI) for capturing the movement of the elderly while they are exercising Tai Chi. The system will detect and assess the elderly's movement whether it is correct or not by using 2 Kinect cameras. The Kinect is used for joints detection and the series of joints movement will be used to compare with the correct Tai Chi postures stored in the system. The questionnaire, which was developed based on the usability criteria defined by the ISO 9241–11 and the users' experience, was used to evaluate the system. The precision, recall, F1-score, and accuracy of our system are 0.94, 0.98, 0.96, and 0.93 respectively.","PeriodicalId":220939,"journal":{"name":"2023 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126619938","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Deep Neural Network Dataset Collection for Optimal Positioning of a Capacitive Compensated Schiffman Phase Shifter","authors":"Raymond Gyaang, Ahmed I. Abdul-Rahman, D. A. N. Gookyi, Sung-Joon Jang, Sang-Seol Lee","doi":"10.1109/ITC-CSCC58803.2023.10212927","DOIUrl":"https://doi.org/10.1109/ITC-CSCC58803.2023.10212927","url":null,"abstract":"This paper presents an accurate analysis and design of a Schiffman phase shifter with optimally positioned compensation capacitances for improved performances. The approach synthesized the microstrip coupler's even and odd mode characteristic impedance and its coupling effect to enhance the phase shift with minimal phase deviation. This was achieved by positioning artificial capacitances along the microstrip directional coupler. The new design method is valid for all substrate thicknesses and permittivity thereby overcoming the bandwidth limitation presented by the minimum spacing between the coupled lines in a conventional microstrip directional coupler. The simulation result demonstrated a maximum phase deviation of ± 3° and a maximum return loss of -0.613 dB. The source and load reflections were well below - 10 dB. The obtained dataset is highly accurate and can be used to train a deep neural network for improved phase error and return loss of a Schiffman phase shifter.","PeriodicalId":220939,"journal":{"name":"2023 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC)","volume":"22 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125843227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}