Pub Date : 2023-01-01DOI: 10.1541/ieejjia.22004247
Keita Shimamoto, T. Murakami
{"title":"Force Sensorless Hybrid Position/Force Control with Equivalent Mass Matrices Switching for Decoupled Rubbing Motion","authors":"Keita Shimamoto, T. Murakami","doi":"10.1541/ieejjia.22004247","DOIUrl":"https://doi.org/10.1541/ieejjia.22004247","url":null,"abstract":"","PeriodicalId":45552,"journal":{"name":"IEEJ Journal of Industry Applications","volume":"1 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67664949","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}
Pub Date : 2023-01-01DOI: 10.1541/ieejjia.22004598
Tomoaki Baba, T. Murakami, H. Krebs, T. Nozaki
{"title":"Development of Optical Distance, Normal Force, Shear Force Sensor","authors":"Tomoaki Baba, T. Murakami, H. Krebs, T. Nozaki","doi":"10.1541/ieejjia.22004598","DOIUrl":"https://doi.org/10.1541/ieejjia.22004598","url":null,"abstract":"","PeriodicalId":45552,"journal":{"name":"IEEJ Journal of Industry Applications","volume":"1 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67665706","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}
Pub Date : 2023-01-01DOI: 10.1541/ieejjia.22006910
Keisuke Sakai, W. Ohnishi, T. Koseki, Kazuhiro Tanaka, Shunji Morita, Katsutoshi Tokuhara, Koki Kasai
{"title":"Train trajectory generation method to mitigate delay propagation based on continuous train position acquisition","authors":"Keisuke Sakai, W. Ohnishi, T. Koseki, Kazuhiro Tanaka, Shunji Morita, Katsutoshi Tokuhara, Koki Kasai","doi":"10.1541/ieejjia.22006910","DOIUrl":"https://doi.org/10.1541/ieejjia.22006910","url":null,"abstract":"","PeriodicalId":45552,"journal":{"name":"IEEJ Journal of Industry Applications","volume":"1 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67666207","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}
Pub Date : 2023-01-01DOI: 10.1541/ieejjia.22007962
Hiroki Kimura, A. Okuyama
{"title":"Average Consensus Problem in Multi-Agent System in an Environment with Obstacles","authors":"Hiroki Kimura, A. Okuyama","doi":"10.1541/ieejjia.22007962","DOIUrl":"https://doi.org/10.1541/ieejjia.22007962","url":null,"abstract":"","PeriodicalId":45552,"journal":{"name":"IEEJ Journal of Industry Applications","volume":"1 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67667233","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}
Pub Date : 2023-01-01DOI: 10.1541/ieejjia.22008200
Kazuyuki Hidaka, K. Kondo, Shunya Sato
{"title":"Scheme for Improving the Spatial Resolution of Thermal Images for Objects with Different Emissivity","authors":"Kazuyuki Hidaka, K. Kondo, Shunya Sato","doi":"10.1541/ieejjia.22008200","DOIUrl":"https://doi.org/10.1541/ieejjia.22008200","url":null,"abstract":"","PeriodicalId":45552,"journal":{"name":"IEEJ Journal of Industry Applications","volume":"1 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67668036","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}
Pub Date : 2023-01-01DOI: 10.1541/ieejjia.22010390
Ryohei Kitayoshi, Yasufumi Yoshiura, Y. Kaku
{"title":"Σ-X series: AC Servo drive for achievement of digital solution","authors":"Ryohei Kitayoshi, Yasufumi Yoshiura, Y. Kaku","doi":"10.1541/ieejjia.22010390","DOIUrl":"https://doi.org/10.1541/ieejjia.22010390","url":null,"abstract":"","PeriodicalId":45552,"journal":{"name":"IEEJ Journal of Industry Applications","volume":"1 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67668441","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}
Pub Date : 2023-01-01DOI: 10.1541/ieejjia.l23000437
K. Kusaka, Kazuki Yamagata, Jin Katsuya, Tetsu Sato
{"title":"Reduction in Leakage Magnetic Flux of Wireless Power Transfer Systems with Halbach Coils","authors":"K. Kusaka, Kazuki Yamagata, Jin Katsuya, Tetsu Sato","doi":"10.1541/ieejjia.l23000437","DOIUrl":"https://doi.org/10.1541/ieejjia.l23000437","url":null,"abstract":"","PeriodicalId":45552,"journal":{"name":"IEEJ Journal of Industry Applications","volume":"91 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67683093","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}
Pub Date : 2023-01-01DOI: 10.1541/ieejjia.23002926
Ryosuke Sato, Yasutaka Fujimoto
Concern about rainfall increase due to climate change and other factors is growing, inexpensive and easy-to-use rainfall forecasting methods are required. Therefore, this study developed a rainfall forecasting model using a neural network that uses readily available weather information such as cloud images, precipitation, and humidity. The proposed model achieved 89% accuracy for 24-hour-ahead classification, exceeding the 85% accuracy of the Japan Meteorological Agency.(JMA) In addition, by focusing on the seasonality of weather and introducing time information into the forecast model, the stability of the forecast was improved. Finally, a rainfall forecast model was developed and simulated by applying AdaBelief to EfficientNetV2+Bi-LSTM. Consequently, the accuracy of both 2-hour and 24-hour-forecasts exceeded the forecast precision of the previous study and the JMA. In particular, the 24-hour-ahead rainfall forecast precision was improved by more than 10% compared to the previous research, indicating a significant improvement in precision.
{"title":"Rainfall Forecasting with LSTM by Combining Cloud Image Feature Extraction with CNN and Weather Information","authors":"Ryosuke Sato, Yasutaka Fujimoto","doi":"10.1541/ieejjia.23002926","DOIUrl":"https://doi.org/10.1541/ieejjia.23002926","url":null,"abstract":"Concern about rainfall increase due to climate change and other factors is growing, inexpensive and easy-to-use rainfall forecasting methods are required. Therefore, this study developed a rainfall forecasting model using a neural network that uses readily available weather information such as cloud images, precipitation, and humidity. The proposed model achieved 89% accuracy for 24-hour-ahead classification, exceeding the 85% accuracy of the Japan Meteorological Agency.(JMA) In addition, by focusing on the seasonality of weather and introducing time information into the forecast model, the stability of the forecast was improved. Finally, a rainfall forecast model was developed and simulated by applying AdaBelief to EfficientNetV2+Bi-LSTM. Consequently, the accuracy of both 2-hour and 24-hour-forecasts exceeded the forecast precision of the previous study and the JMA. In particular, the 24-hour-ahead rainfall forecast precision was improved by more than 10% compared to the previous research, indicating a significant improvement in precision.","PeriodicalId":45552,"journal":{"name":"IEEJ Journal of Industry Applications","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135561382","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}
Pub Date : 2023-01-01DOI: 10.1541/ieejjia.22009573
T. Sekiguchi, K. Wada
{"title":"Active Power Decoupling Control for Single-phase Power Conditioning Systems Focusing on Harmonic Voltage","authors":"T. Sekiguchi, K. Wada","doi":"10.1541/ieejjia.22009573","DOIUrl":"https://doi.org/10.1541/ieejjia.22009573","url":null,"abstract":"","PeriodicalId":45552,"journal":{"name":"IEEJ Journal of Industry Applications","volume":"1 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67668450","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}
Pub Date : 2023-01-01DOI: 10.1541/ieejjia.23005913
Takahiro Koga, Takashi Abe, Yoshitsugu Otomo, Masaki Yamamoto, Marius Rosu
This paper presents a surrogate modeling technology and the application using the response surface methodology (RSM) for a half-wave rectified brushless synchronous motor (HRSM) for model-based design. HRSM adopts a field winding that is single-phase short-circuited through a diode, instead of a brush at the rotor. This brushless excitation facilitates the maintenance of the motor and variable field flux operation. However, creating a high accuracy motor model for model-based design using HRSM considering field current characteristics with the effects of the diode is difficult, and the problem of an unrealistic complex calculation for applications such as drive cycle simulations exists. To overcome these challenges, we propose a surrogate modeling technique for HRSM using RSM and finite element analysis. The objective of this study is achieve the fast and accurate simulation to predict the wide range and long-time driving conditions of HRSM, which is difficult to validate experimentally.
{"title":"Surrogate Modeling and Application of Half-Wave Rectified Brushless Synchronous Motor for Model-Based Design","authors":"Takahiro Koga, Takashi Abe, Yoshitsugu Otomo, Masaki Yamamoto, Marius Rosu","doi":"10.1541/ieejjia.23005913","DOIUrl":"https://doi.org/10.1541/ieejjia.23005913","url":null,"abstract":"This paper presents a surrogate modeling technology and the application using the response surface methodology (RSM) for a half-wave rectified brushless synchronous motor (HRSM) for model-based design. HRSM adopts a field winding that is single-phase short-circuited through a diode, instead of a brush at the rotor. This brushless excitation facilitates the maintenance of the motor and variable field flux operation. However, creating a high accuracy motor model for model-based design using HRSM considering field current characteristics with the effects of the diode is difficult, and the problem of an unrealistic complex calculation for applications such as drive cycle simulations exists. To overcome these challenges, we propose a surrogate modeling technique for HRSM using RSM and finite element analysis. The objective of this study is achieve the fast and accurate simulation to predict the wide range and long-time driving conditions of HRSM, which is difficult to validate experimentally.","PeriodicalId":45552,"journal":{"name":"IEEJ Journal of Industry Applications","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135056679","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}
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