{"title":"Land Subsidence Monitoring and Analysis in Heifei Based on Sentinel-1A Data","authors":"Kai Xu, Siyuan Liu, Chengcheng Fan","doi":"10.18494/sam4546","DOIUrl":"https://doi.org/10.18494/sam4546","url":null,"abstract":"","PeriodicalId":22154,"journal":{"name":"Sensors and Materials","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139212459","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Muhammad Salah, Hiroto Higa, Joji Ishizaka, S. I. Salem
{"title":"1D Convolutional Neural Network-based Chlorophyll-a Retrieval Algorithm for Sentinel-2 MultiSpectral Instrument in Various Trophic States","authors":"Muhammad Salah, Hiroto Higa, Joji Ishizaka, S. I. Salem","doi":"10.18494/sam4331","DOIUrl":"https://doi.org/10.18494/sam4331","url":null,"abstract":"","PeriodicalId":22154,"journal":{"name":"Sensors and Materials","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139210034","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pratikto, Muhammad Arman, M. A. Falahuddin, Ryandi Ananda Pratama, Raydha Zul Fitriani, Yean-Der Kuan
{"title":"Temperature Data Acquisition System for Showcase Refrigerator Based on ESP32 and Online Remote Display","authors":"Pratikto, Muhammad Arman, M. A. Falahuddin, Ryandi Ananda Pratama, Raydha Zul Fitriani, Yean-Der Kuan","doi":"10.18494/sam4691","DOIUrl":"https://doi.org/10.18494/sam4691","url":null,"abstract":"","PeriodicalId":22154,"journal":{"name":"Sensors and Materials","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139265051","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Developing a Monitoring System for Wire Bonders Using Semiconductor Equipment and Materials International (SEMI) Equipment Communications Standard Sensors","authors":"Ying-Chieh Liu, Feng-Chia Li","doi":"10.18494/sam4643","DOIUrl":"https://doi.org/10.18494/sam4643","url":null,"abstract":"","PeriodicalId":22154,"journal":{"name":"Sensors and Materials","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139262691","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
With the advancement of automatic navigation, navigation control has become an indispensable core technology in the movement of unmanned vehicles. In particular, research on navigation control in outdoor wooded environments, which are more complex, less controlled, and more unpredictable than indoor environments, has received widespread attention. To realize the movement control and obstacle avoidance of unmanned vehicles in unknown environments, in this study, we use light detection and ranging (LiDAR) sensors to sense the surrounding environment. By plane meshing the point cloud reflected from LiDAR, we can instantly establish feasible regions. At the same time, using the artificial potential field algorithm, a stable obstacle avoidance and navigation path is planned for use in an unknown environment. In an actual woods navigation experiment to evaluate our proposed LiDAR detection method, we used an independently developed unmanned vehicle with Ackermann steering geometry. Experimental results indicate that the proposed method can effectively detect obstacles. The accuracy requirement is within 30 cm from the navigation target, and the experimental results show that the average navigation success rate of the proposed method is as high as 85%. The experimental results demonstrate that the system can stably and safely navigate in scenarios with different unknown environments.
{"title":"Detection and Navigation of Unmanned Vehicles in Wooded Environments Using Light Detection and Ranging Sensors","authors":"Zhiwei Zhang, Jyun-Yu Jhang, Cheng-Jian Lin","doi":"10.18494/sam4688","DOIUrl":"https://doi.org/10.18494/sam4688","url":null,"abstract":"With the advancement of automatic navigation, navigation control has become an indispensable core technology in the movement of unmanned vehicles. In particular, research on navigation control in outdoor wooded environments, which are more complex, less controlled, and more unpredictable than indoor environments, has received widespread attention. To realize the movement control and obstacle avoidance of unmanned vehicles in unknown environments, in this study, we use light detection and ranging (LiDAR) sensors to sense the surrounding environment. By plane meshing the point cloud reflected from LiDAR, we can instantly establish feasible regions. At the same time, using the artificial potential field algorithm, a stable obstacle avoidance and navigation path is planned for use in an unknown environment. In an actual woods navigation experiment to evaluate our proposed LiDAR detection method, we used an independently developed unmanned vehicle with Ackermann steering geometry. Experimental results indicate that the proposed method can effectively detect obstacles. The accuracy requirement is within 30 cm from the navigation target, and the experimental results show that the average navigation success rate of the proposed method is as high as 85%. The experimental results demonstrate that the system can stably and safely navigate in scenarios with different unknown environments.","PeriodicalId":22154,"journal":{"name":"Sensors and Materials","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139264721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The environmental impact stemming from scrapped tires has indirectly affected ecological sustainability. One effective approach to mitigate the impact of tires on the environment is to enhance the wear resistance of tires. However, balancing wear resistance and meeting performance control requirements can be challenging. Therefore, improving drivers’ driving habits can be regarded as another way of prolonging tire usage. In this study, we aim to develop a suitable sensor for tires that can detect tire overcontrol to reduce the possibility of excessive wear. However, commercially available sensors are designed for use within the interior of tires and are commonly used rigid parts and components to detect microstrains. Hence, the primary objective of this study is to develop and design a special strain gauge for tires while discussing and recording the tire strain characteristics during tire operation and after the sensor is embedded into the tire. This approach helps in finding the critical value of tire overcontrol. The findings of this study can be integrated into in-car systems to remind drivers, prompting them to reduce their control to extend the service life of tires, ultimately reducing the environmental impact associated with excessive tire replacements.
{"title":"Design and Fabrication of a Built-in Tire Sensor for Green Energy Saving","authors":"M. Sung, Shih-Hsien Hou, Y. Kuan","doi":"10.18494/sam4690","DOIUrl":"https://doi.org/10.18494/sam4690","url":null,"abstract":"The environmental impact stemming from scrapped tires has indirectly affected ecological sustainability. One effective approach to mitigate the impact of tires on the environment is to enhance the wear resistance of tires. However, balancing wear resistance and meeting performance control requirements can be challenging. Therefore, improving drivers’ driving habits can be regarded as another way of prolonging tire usage. In this study, we aim to develop a suitable sensor for tires that can detect tire overcontrol to reduce the possibility of excessive wear. However, commercially available sensors are designed for use within the interior of tires and are commonly used rigid parts and components to detect microstrains. Hence, the primary objective of this study is to develop and design a special strain gauge for tires while discussing and recording the tire strain characteristics during tire operation and after the sensor is embedded into the tire. This approach helps in finding the critical value of tire overcontrol. The findings of this study can be integrated into in-car systems to remind drivers, prompting them to reduce their control to extend the service life of tires, ultimately reducing the environmental impact associated with excessive tire replacements.","PeriodicalId":22154,"journal":{"name":"Sensors and Materials","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139263408","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kuo-Jui Hu, Meng-Yi Chen, Yuh-Shihng Chang, Sheng-Long Kao
good
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{"title":"Enhanced Color Sensing and Recognition of Underwater Color Using Robust Adaptive Tone Mapping","authors":"Kuo-Jui Hu, Meng-Yi Chen, Yuh-Shihng Chang, Sheng-Long Kao","doi":"10.18494/sam4642","DOIUrl":"https://doi.org/10.18494/sam4642","url":null,"abstract":"good","PeriodicalId":22154,"journal":{"name":"Sensors and Materials","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139264230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Surface Quality Control of p-type Silicon Chip during Edge Insulation with Wire Electric Dischaarge Machining","authors":"Hsin-Min Lee, Ta-Jen Peng, Tzung-Ming Chen, Kang-Feng Peng","doi":"10.18494/sam4692","DOIUrl":"https://doi.org/10.18494/sam4692","url":null,"abstract":",","PeriodicalId":22154,"journal":{"name":"Sensors and Materials","volume":null,"pages":null},"PeriodicalIF":1.2,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139265718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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