{"title":"Investigation of Antenna Topology Optimization Using Genetic Algorithms","authors":"Yen‐Sheng Chen","doi":"10.1109/ITC-CSCC58803.2023.10212719","DOIUrl":"https://doi.org/10.1109/ITC-CSCC58803.2023.10212719","url":null,"abstract":"This paper presents a new initialization method and optimum parameterization for genetic algorithms (GAs) in pixelated antenna design. The mathematical model of pixelated antenna design is first illustrated. In order to solve this mathematical model, GAs are widely used as the optimization algorithm. In general, GAs are initialized by a randomized population, which may lead to unbalanced exploration and slower convergence. To overcome such a limitation, this paper presents orthogonal arrays serving as the initialization mechanism to generate a fairly-distributed population; as a result, the efficiency is greatly enhanced. In addition, the optimal parameterization is clarified, and the associated convergence history exhibits robust performances as compared to conventional approaches. Hence, the design cycle of pixelated antennas is reduced significantly by the proposed technique.","PeriodicalId":220939,"journal":{"name":"2023 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC)","volume":"106 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":"123445933","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":"Development of an Automatic Detection System for Natural Disaster Occurrences with Spaceborne SAR Data","authors":"Ryuji Kojima, Yuma Kayano, Toshikazu Samura, Katsumi Tadamura","doi":"10.1109/ITC-CSCC58803.2023.10212508","DOIUrl":"https://doi.org/10.1109/ITC-CSCC58803.2023.10212508","url":null,"abstract":"The spaceborne synthetic aperture radar (SAR) is an active sensor that emits microwaves from its antenna and observes backscattered waves from the earth's surface, allowing for 24-h observations of the earth in all weather conditions. Using spaceborne SAR data, this characteristic is being used to detect natural disasters that cannot be observed by optical sensors, such as typhoons, heavy rains, and nighttime disasters. An automatic detection system for natural disaster occurrence using spaceborne SAR data is proposed in this paper, which automatically detects the occurrence of natural disasters based on emergency observation spaceborne SAR data and reports the possibility of natural disaster occurrence.","PeriodicalId":220939,"journal":{"name":"2023 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC)","volume":"26 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":"125070497","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":"Speech and Text-Based Motion Generation and Matching System","authors":"Jonghyun Shin, Jun-Young Park, S. Kang","doi":"10.1109/ITC-CSCC58803.2023.10212502","DOIUrl":"https://doi.org/10.1109/ITC-CSCC58803.2023.10212502","url":null,"abstract":"Speech and text-based motion generation is an emerging research area in both academia and industry. However, there is a problem that related studies have defined the generated motion structure differently so far. To solve this problem, we propose a novel system for matching the generated motion to SMPL-X. In this study we focused on using joint information from a pre-trained model and matched this model to another model which has different joint structure. Since this system runs on Unity, it can be applied to various industry fields. Detailed motion videos and codes are available in https://github.com/kinsingo/Speech-and-Text-based-Motion-Generation-and-Matching-System","PeriodicalId":220939,"journal":{"name":"2023 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC)","volume":"19 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":"114626649","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}
Hang Zhang, Takafumi Katayama, Tian Song, T. Shimamoto, Naotomo Ota
{"title":"A High Precision Counting Framework for Cerithidea moerchii towards Low Power Implementation","authors":"Hang Zhang, Takafumi Katayama, Tian Song, T. Shimamoto, Naotomo Ota","doi":"10.1109/ITC-CSCC58803.2023.10212819","DOIUrl":"https://doi.org/10.1109/ITC-CSCC58803.2023.10212819","url":null,"abstract":"In this work, an adaptive framework which combines traditional image processing approach and machine learning based object detection approach to achieve low power implementation for the counting of Cerithidea moerchii (C. Moerchii) is proposed. The proposed framework categorizes the observing conditions into four types according to different environments of C. moerchii and adaptively select the counting tools with optimized computation complexity and detection accuracy. This proposal is characterized by the ability to distinguish different environments, switch counting modes, and save computational complexity with acceptable accuracy. The simulation results show that totally over 80% counting accuracy can be achieved by the proposed framework.","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":"130677788","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":"Analysis of Time Sensitive Networking (TSN) based Control Traffic Merger Methods for Automotive Network","authors":"Y. Do, Jonghun Kim, S. Oh, Jaewook Jeon","doi":"10.1109/ITC-CSCC58803.2023.10212787","DOIUrl":"https://doi.org/10.1109/ITC-CSCC58803.2023.10212787","url":null,"abstract":"Current vehicles are changing, and control traffic and multimedia data are being used in a mixed method in a single network. In response to this, IEEE has announced a protocol called TSN, and there is active research underway to apply this standard to vehicles. However, previous studies have focused on the upper levels (between end systems (ES) and switches). To the best of our knowledge, there has been no research on scheduling methods between ES and the lower levels(Electronic Control Units (ECUs), actuators, and sensors). In this paper, the performance of the implemented ES on an embedded system and four methods for processing data received from lower layers were evaluated by analyzing the jitter of received frames.","PeriodicalId":220939,"journal":{"name":"2023 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC)","volume":"39 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":"134261423","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":"Implementation of a Fish Size Measurement System Using a Monocular Camera","authors":"Shogo Kumatoriya, T. Kumaki","doi":"10.1109/ITC-CSCC58803.2023.10212514","DOIUrl":"https://doi.org/10.1109/ITC-CSCC58803.2023.10212514","url":null,"abstract":"Recently, fish farming's have been increasing to keep food production. Fish body size is one of the most important factors to determine an appropriate feeding rate. Thus, this data is often measured manually by directly catching fish with a net. However, this measurement method needs time-consuming, and hard work and leads damage and stress to fish. For overcoming this problem, an automatic measurement method with machine learning by using monocular camera is proposed in this paper. In general, conventional measurement methods are based on a stereo camera, which needs often large hardware amount and expensive. On the other hand, the proposed method is based on a monocular camera, which is small hardware amount and less expensive, this system can get depth data by utilizing machine learning algorithm and to automatically detect fish in images which are captured by a monocular camera. From experimental results on actual aquarium with dorado fish. The average relative error of the measurements is about 12.4%, which is a relatively small error to obtain the fish size.","PeriodicalId":220939,"journal":{"name":"2023 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC)","volume":"90 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":"132770063","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}
Kitbodin To.sriwong, Sukritta Paripurana, P. Vanichchanunt
{"title":"Study of Particle Swarm Optimization Parameter Tuning for Camera Calibration","authors":"Kitbodin To.sriwong, Sukritta Paripurana, P. Vanichchanunt","doi":"10.1109/ITC-CSCC58803.2023.10212796","DOIUrl":"https://doi.org/10.1109/ITC-CSCC58803.2023.10212796","url":null,"abstract":"This paper aims to study Particle Swarm Optimization (PSO) parameter tuning for estimating intrinsic camera parameters. The parameters of typical PSO, on which tuning is mainly focused, include inertia weight and acceleration coefficients. These parameters need to be addressed to how they highly affect the estimation error of PSO by extensively exploring them. The results of this study illustrate their effects so that the proper selection of these parameters can be performed to obtain the achievable best solution.","PeriodicalId":220939,"journal":{"name":"2023 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC)","volume":"30 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":"132890017","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}
Tanutsorn Wongphatcharatham, W. Phakphisut, N. Puttarak
{"title":"Multi-Agent Deep Q-Learning for Antenna Tilt Optimization in Wireless Networks","authors":"Tanutsorn Wongphatcharatham, W. Phakphisut, N. Puttarak","doi":"10.1109/ITC-CSCC58803.2023.10212518","DOIUrl":"https://doi.org/10.1109/ITC-CSCC58803.2023.10212518","url":null,"abstract":"The configuration of an antenna installed at a base station involves the quality of communication in wireless networks. For example, at each transmitter, the antenna tilt must be optimized such that the desired and undesired receivers obtain the highest and lowest signal strength, respectively. In this work, we propose to use multi-agent deep Q-learning to optimize the antenna tilt. Our channel model includes the three-dimensional antenna gain, the Ericsson path loss model, and the digital elevation model (DEM). Our simulation indicates that multiagant deep Q-learning provides good signal quality.","PeriodicalId":220939,"journal":{"name":"2023 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC)","volume":"107 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":"134600361","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":"Implement the Fuzzy Controller by Imitating the Tuned PID Controller Using Reinforcement Learning","authors":"S. Tiacharoen","doi":"10.1109/ITC-CSCC58803.2023.10212683","DOIUrl":"https://doi.org/10.1109/ITC-CSCC58803.2023.10212683","url":null,"abstract":"This article presents how to design a fuzzy controller for controlling engine speed. The fuzzy controller is designed to mimic the effect of the PID controller, where the PID controller is adjusted using reinforcement learning. Controller performance is compared between a controller tuned with control system tuning and one tuned using reinforcement learning. While PID tuning with the control system is fast and effective for model-based systems, reinforcement learning tuning is suitable for highly nonlinear systems. The result of the experiment is to use the reinforcement learning agent to calculate the gain of PID, after which the fuzzy logic learned in tuned PID is generated. Fuzzy logic control is easy to adjust for nonlinear systems control. Fuzzy inference system tuning both using ANFIS and pattern search are compared.","PeriodicalId":220939,"journal":{"name":"2023 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC)","volume":"55 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":"114677711","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 Study on the Treatment of Children's Body Awareness","authors":"Sinae Ahn","doi":"10.1109/ITC-CSCC58803.2023.10212771","DOIUrl":"https://doi.org/10.1109/ITC-CSCC58803.2023.10212771","url":null,"abstract":"This review is assessment tools and interventions related to body awareness in children. Studies focusing on assessments and interventions related to treatment of body awareness from 2010 to 2021 were analyzed. The selecting articles were extracted from four major scientific databases, and the two articles that met this study's eligibility criterion were analyzed. One studies involved randomized controlled trials, and other study involved a case reports design. According to ICD-11 disease classification criteria, two study targeted a mental, behavioral, and neurodevelopmental disorder subgroup. This study indicates that assessment tools and interventions related to body awareness are necessary for children because body awareness is a potentially influencing factor in development. Further research is needed to conclude the effectiveness of treatments of body awareness assessment and interventions to promote children's development.","PeriodicalId":220939,"journal":{"name":"2023 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC)","volume":"21 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":"132178779","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}