Pub Date : 2018-12-01DOI: 10.1109/ICSENST.2018.8603631
J. Rangel, A. Kroll
Spotting and localizing unwanted harmful gas releases is of great interest for the maintenance of facilities in the chemical, oil, gas and biogas industry due to their economic impact and negative effect on the environment. In this regard, stereo gas camera systems have been proposed in the literature for obtaining spatio-temporal information from gas releases. These permit gas localization and tracking. Nevertheless, these works rely on a photo-consistency assumption that holds for most textured opaque objects in the visual spectrum but not necessarily for semi-transparent continuous textures such as gases. In this work, first, a detailed measuring model for gaining gas structure’s spatial information with a stereo camera is proposed. A disparity calculation method and a quality measure is then implemented and tested for finding correspondences in stereo images of continuous textures. The proposed measuring model is tested and validated with the implemented disparity method and using synthetic and real stereo images sequences. The results indicate that the computed spatial information from gas structures approximates reliably the path-averaged and concentration-weighted gas position regarding the perspective of the stereo camera system.
{"title":"On Obtaining Reliable Spatial Information from Gas Structures with a Stereo Camera System","authors":"J. Rangel, A. Kroll","doi":"10.1109/ICSENST.2018.8603631","DOIUrl":"https://doi.org/10.1109/ICSENST.2018.8603631","url":null,"abstract":"Spotting and localizing unwanted harmful gas releases is of great interest for the maintenance of facilities in the chemical, oil, gas and biogas industry due to their economic impact and negative effect on the environment. In this regard, stereo gas camera systems have been proposed in the literature for obtaining spatio-temporal information from gas releases. These permit gas localization and tracking. Nevertheless, these works rely on a photo-consistency assumption that holds for most textured opaque objects in the visual spectrum but not necessarily for semi-transparent continuous textures such as gases. In this work, first, a detailed measuring model for gaining gas structure’s spatial information with a stereo camera is proposed. A disparity calculation method and a quality measure is then implemented and tested for finding correspondences in stereo images of continuous textures. The proposed measuring model is tested and validated with the implemented disparity method and using synthetic and real stereo images sequences. The results indicate that the computed spatial information from gas structures approximates reliably the path-averaged and concentration-weighted gas position regarding the perspective of the stereo camera system.","PeriodicalId":181015,"journal":{"name":"2018 12th International Conference on Sensing Technology (ICST)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124891748","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 : 2018-12-01DOI: 10.1109/ICSENST.2018.8603575
Nicolas Havard, S. McGrath, C. Flanagan, Ciaran MacNamee
Today, technologies allow people to access and monitor everything from everywhere. Thus interconnected things using networks like LoRaWAN, ZigBee and traditional Wi-Fi, are often described as the Internet of Things (IoT). This paper describes an Internet of Things sensors project. Combining sensors and actuators smart buildings, which can be offices or apartments, allow owners to save energy, increase security, give information to users on their environment and act directly on the building using the Internet. The paper presents the definition, development and outcomes of a project to use sensors in a typical apartment to monitor and conditions in the apartment using IoT technologies. The layout and placement of sensors is described, followed by a description of the sensors used, and of the wireless interfaces and cloud technologies used. The project outcomes, based on use of Bluemix with Node Red are presented.
{"title":"Smart Building Based on Internet of Things Technology","authors":"Nicolas Havard, S. McGrath, C. Flanagan, Ciaran MacNamee","doi":"10.1109/ICSENST.2018.8603575","DOIUrl":"https://doi.org/10.1109/ICSENST.2018.8603575","url":null,"abstract":"Today, technologies allow people to access and monitor everything from everywhere. Thus interconnected things using networks like LoRaWAN, ZigBee and traditional Wi-Fi, are often described as the Internet of Things (IoT). This paper describes an Internet of Things sensors project. Combining sensors and actuators smart buildings, which can be offices or apartments, allow owners to save energy, increase security, give information to users on their environment and act directly on the building using the Internet. The paper presents the definition, development and outcomes of a project to use sensors in a typical apartment to monitor and conditions in the apartment using IoT technologies. The layout and placement of sensors is described, followed by a description of the sensors used, and of the wireless interfaces and cloud technologies used. The project outcomes, based on use of Bluemix with Node Red are presented.","PeriodicalId":181015,"journal":{"name":"2018 12th International Conference on Sensing Technology (ICST)","volume":"62 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123303268","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 : 2018-12-01DOI: 10.1109/ICSENST.2018.8603595
S. Pal, M. Hitchens, V. Varadharajan
With the rapid growth of the Internet of Things (IoT) and smart objects, security becomes an important factor when deploying an IoT system. Factors e.g. the scale of such systems, the diverse range of devices and communication mediums employed, the dynamic and temporary nature of interactions, and the dynamic characteristics of services and applications in the IoT, mean that it is difficult to ensure that only the authenticated and authorized entities can access the appropriate resources. It is difficult to predict, in advance, which entities will interact and require access to services and to precisely identify the exact services to which they will seek access. This raises important questions concerning the nature of identity and identity management for the IoT. There exist many approaches to digital identity and digital identity management, however examination of these questions in the context of the IoT is still in its infancy. Fundamentally, the formal model of IoT identity covering all its aspects is still lacking. In this paper, we provide a survey on identity for the IoT. We outline the foundations for building a formal model of IoT identity based on attributes. We also use the model to demonstrate its feasibility using different use-case scenarios. Our study shows that it is feasible to incorporate such an identity model to achieve both fine-grained and flexible system design in large-scale IoT systems.
{"title":"Modeling Identity for the Internet of Things: Survey, Classification and Trends","authors":"S. Pal, M. Hitchens, V. Varadharajan","doi":"10.1109/ICSENST.2018.8603595","DOIUrl":"https://doi.org/10.1109/ICSENST.2018.8603595","url":null,"abstract":"With the rapid growth of the Internet of Things (IoT) and smart objects, security becomes an important factor when deploying an IoT system. Factors e.g. the scale of such systems, the diverse range of devices and communication mediums employed, the dynamic and temporary nature of interactions, and the dynamic characteristics of services and applications in the IoT, mean that it is difficult to ensure that only the authenticated and authorized entities can access the appropriate resources. It is difficult to predict, in advance, which entities will interact and require access to services and to precisely identify the exact services to which they will seek access. This raises important questions concerning the nature of identity and identity management for the IoT. There exist many approaches to digital identity and digital identity management, however examination of these questions in the context of the IoT is still in its infancy. Fundamentally, the formal model of IoT identity covering all its aspects is still lacking. In this paper, we provide a survey on identity for the IoT. We outline the foundations for building a formal model of IoT identity based on attributes. We also use the model to demonstrate its feasibility using different use-case scenarios. Our study shows that it is feasible to incorporate such an identity model to achieve both fine-grained and flexible system design in large-scale IoT systems.","PeriodicalId":181015,"journal":{"name":"2018 12th International Conference on Sensing Technology (ICST)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116447704","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 : 2018-12-01DOI: 10.1109/ICSENST.2018.8603646
B. Chakraborty
Smartphones are recently becoming more and more sophisticated with numerous applications and a large number of people are becoming habituated with their use in everyday life. With the vast use of smartphones in various routine everyday transactions, the need of secured access control is increasing as people tend to store their personal and important information in the mobile devices. The existing popular methods of securing mobile devices, pincodes or patterns, can be vulnerable if gets lost or stolen. In this work, a novel framework for user authentication technique based on human gait related activities analyzed from smartphone sensors data has been studied. Being non-intrusive and continuously available, human gait behaviour analyzed from smartphone sensors data provides an opportunity of developing convenient and user friendly means of user authentication. Benchmark data sets from smartphone sensors are used for simulation experiments. It is found that activity dependent authentication method produces better accuracy than activity independent authentication. It is also found that convolutional neural networks based classification is promising compared to traditional machine learning classifiers.
{"title":"Gait Related Activity Based Person Authentication with Smartphone Sensors","authors":"B. Chakraborty","doi":"10.1109/ICSENST.2018.8603646","DOIUrl":"https://doi.org/10.1109/ICSENST.2018.8603646","url":null,"abstract":"Smartphones are recently becoming more and more sophisticated with numerous applications and a large number of people are becoming habituated with their use in everyday life. With the vast use of smartphones in various routine everyday transactions, the need of secured access control is increasing as people tend to store their personal and important information in the mobile devices. The existing popular methods of securing mobile devices, pincodes or patterns, can be vulnerable if gets lost or stolen. In this work, a novel framework for user authentication technique based on human gait related activities analyzed from smartphone sensors data has been studied. Being non-intrusive and continuously available, human gait behaviour analyzed from smartphone sensors data provides an opportunity of developing convenient and user friendly means of user authentication. Benchmark data sets from smartphone sensors are used for simulation experiments. It is found that activity dependent authentication method produces better accuracy than activity independent authentication. It is also found that convolutional neural networks based classification is promising compared to traditional machine learning classifiers.","PeriodicalId":181015,"journal":{"name":"2018 12th International Conference on Sensing Technology (ICST)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122533965","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 : 2018-12-01DOI: 10.1109/ICSENST.2018.8603625
Sukumar Katamreddy, P. Doody, J. Walsh, D. Riordan
This paper discusses the techniques used to aid the work in progress artificial calf weaning system. The aim is to artificially wean the calves by deterring them to suckle the milk during the weaning phase. The proposed collar mounted micro-pneumatic deterring system is the work in progress. To deter the calves there should be a mechanism to visually detect the udder accurately. One possible way to do this is by detecting the udder from a certain distance with a collar mounted camera system and predict the suckling event. A pre-trained deep neural network model embedded in a device with camera mounted to the collar will detect the udder and predicts the suckling event which enables the deterring system to actuate. This method of detecting udders has been chosen to overcome collar’s varying oscillatory movements caused by the calf in an attempt to suckle and it is independent on variable visible light conditions.
{"title":"Visual Udder Detection with Deep Neural Networks","authors":"Sukumar Katamreddy, P. Doody, J. Walsh, D. Riordan","doi":"10.1109/ICSENST.2018.8603625","DOIUrl":"https://doi.org/10.1109/ICSENST.2018.8603625","url":null,"abstract":"This paper discusses the techniques used to aid the work in progress artificial calf weaning system. The aim is to artificially wean the calves by deterring them to suckle the milk during the weaning phase. The proposed collar mounted micro-pneumatic deterring system is the work in progress. To deter the calves there should be a mechanism to visually detect the udder accurately. One possible way to do this is by detecting the udder from a certain distance with a collar mounted camera system and predict the suckling event. A pre-trained deep neural network model embedded in a device with camera mounted to the collar will detect the udder and predicts the suckling event which enables the deterring system to actuate. This method of detecting udders has been chosen to overcome collar’s varying oscillatory movements caused by the calf in an attempt to suckle and it is independent on variable visible light conditions.","PeriodicalId":181015,"journal":{"name":"2018 12th International Conference on Sensing Technology (ICST)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128431311","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}
This paper presents a novel obstacle detection algorithm in the indoor environment. The algorithm combines the YOLO object detection algorithm and the light field camera which is more simple than normal RGB-D sensor and acquires depth image and high-resolution images at the same in one exposure. The RGB Image rendered by the light filed camera is taken as an input of the YOLO model which was trained base on nearly 100 categories of common objects. According to the object information and the depth map, the obstacle was accurately calculated including its size and position. Experimental results demonstrate that the proposed method can provide higher detection accuracy under indoor environment.
{"title":"An Algorithm for Obstacle Detection based on YOLO and Light Filed Camera","authors":"Rumin Zhang, Yifeng Yang, Wenyi Wang, Liaoyuan Zeng, Jianwen Chen, S. McGrath","doi":"10.1109/ICSENST.2018.8603600","DOIUrl":"https://doi.org/10.1109/ICSENST.2018.8603600","url":null,"abstract":"This paper presents a novel obstacle detection algorithm in the indoor environment. The algorithm combines the YOLO object detection algorithm and the light field camera which is more simple than normal RGB-D sensor and acquires depth image and high-resolution images at the same in one exposure. The RGB Image rendered by the light filed camera is taken as an input of the YOLO model which was trained base on nearly 100 categories of common objects. According to the object information and the depth map, the obstacle was accurately calculated including its size and position. Experimental results demonstrate that the proposed method can provide higher detection accuracy under indoor environment.","PeriodicalId":181015,"journal":{"name":"2018 12th International Conference on Sensing Technology (ICST)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124341791","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 : 2018-12-01DOI: 10.1109/ICSENST.2018.8603605
Andrew O'Riordan, T. Newe, G. Dooly, D. Toal
Walking through any trade show or expo of 2018 it becomes obvious that 3D scanners have become the latest available in an arsenal of new technology being offered at an industrial level. Multiple technologies are implemented to achieve the task of 3D imaging from the real world. This paper focuses specifically on stereo vision sensing. A review of existing stereo vision systems is provided, their challenges and proposed solutions are outlined.
{"title":"Stereo Vision Sensing: Review of existing systems","authors":"Andrew O'Riordan, T. Newe, G. Dooly, D. Toal","doi":"10.1109/ICSENST.2018.8603605","DOIUrl":"https://doi.org/10.1109/ICSENST.2018.8603605","url":null,"abstract":"Walking through any trade show or expo of 2018 it becomes obvious that 3D scanners have become the latest available in an arsenal of new technology being offered at an industrial level. Multiple technologies are implemented to achieve the task of 3D imaging from the real world. This paper focuses specifically on stereo vision sensing. A review of existing stereo vision systems is provided, their challenges and proposed solutions are outlined.","PeriodicalId":181015,"journal":{"name":"2018 12th International Conference on Sensing Technology (ICST)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126280885","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 : 2018-12-01DOI: 10.1109/ICSENST.2018.8603579
D. Zaitsev, E. Egorov, A. Shabalina
A device has been developed for determining the motion parameters of the human body and lower limbs intended for use in orthopedic healthcare facilities, treatment and prevention of musculoskeletal system disorders, sports medicine. The layout of a miniature detector of movement parameters, consisting of six miniatures high precision molecular-electronic technology (MET) sensors (three linear motion sensors and three angular motion sensors) designed to be fixed on human lower limbs and body, was developed and constructed. Data processing algorithms have been developed to define, in addition to the provided instrumentally accurate data on linear and angular motion parameters at sensor fixation points, the major phases of motion corresponding to the periods of rest, start and end of the motion, as well as the actual movements of human limbs and body.
{"title":"High resolution miniature MET sensors for healthcare and sport applications","authors":"D. Zaitsev, E. Egorov, A. Shabalina","doi":"10.1109/ICSENST.2018.8603579","DOIUrl":"https://doi.org/10.1109/ICSENST.2018.8603579","url":null,"abstract":"A device has been developed for determining the motion parameters of the human body and lower limbs intended for use in orthopedic healthcare facilities, treatment and prevention of musculoskeletal system disorders, sports medicine. The layout of a miniature detector of movement parameters, consisting of six miniatures high precision molecular-electronic technology (MET) sensors (three linear motion sensors and three angular motion sensors) designed to be fixed on human lower limbs and body, was developed and constructed. Data processing algorithms have been developed to define, in addition to the provided instrumentally accurate data on linear and angular motion parameters at sensor fixation points, the major phases of motion corresponding to the periods of rest, start and end of the motion, as well as the actual movements of human limbs and body.","PeriodicalId":181015,"journal":{"name":"2018 12th International Conference on Sensing Technology (ICST)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132162668","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 : 2018-12-01DOI: 10.1109/ICSENST.2018.8603580
T. Fedtschenko, A. Utz, Alexander Stanitzki, A. Hennig, André Lüdecke, Norbert Haas, R. Kokozinski
This article presents a new configurable wireless sensor system that can be used for biochemical and biomedical measurements, e.g. for monitoring the glucose level in blood. The sensor systems consists of an integrated nano-potentiostat which performs the actual measurements and an ISO 18000-3 compliant transponder module which allows wireless telemetric data transmission and also powers the whole sensor system. The two-chip sensor system was implemented in a 0.35 μm CMOS technology. The architecture and implementation details of both ASICs are presented in this article. A demonstrator system has been manufactured in combination with a chronoamperometric glucose sensor which allows the measurement of the glucose level in tear fluid. For a range of sensor currents from 0.1 μA to 10 μA the potentiostat achieved an accuracy of more than 5 % at a total power dissipation of less than 600 μW. With the realized antenna geometry a wireless communication distance of more than 7 cm has been achieved.
{"title":"A low-power wireless nano-potentiostat for biomedical applications with ISO 18000-3 interface in 0.35 μm CMOS","authors":"T. Fedtschenko, A. Utz, Alexander Stanitzki, A. Hennig, André Lüdecke, Norbert Haas, R. Kokozinski","doi":"10.1109/ICSENST.2018.8603580","DOIUrl":"https://doi.org/10.1109/ICSENST.2018.8603580","url":null,"abstract":"This article presents a new configurable wireless sensor system that can be used for biochemical and biomedical measurements, e.g. for monitoring the glucose level in blood. The sensor systems consists of an integrated nano-potentiostat which performs the actual measurements and an ISO 18000-3 compliant transponder module which allows wireless telemetric data transmission and also powers the whole sensor system. The two-chip sensor system was implemented in a 0.35 μm CMOS technology. The architecture and implementation details of both ASICs are presented in this article. A demonstrator system has been manufactured in combination with a chronoamperometric glucose sensor which allows the measurement of the glucose level in tear fluid. For a range of sensor currents from 0.1 μA to 10 μA the potentiostat achieved an accuracy of more than 5 % at a total power dissipation of less than 600 μW. With the realized antenna geometry a wireless communication distance of more than 7 cm has been achieved.","PeriodicalId":181015,"journal":{"name":"2018 12th International Conference on Sensing Technology (ICST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131329968","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 : 2018-12-01DOI: 10.1109/ICSENST.2018.8603571
Tomoya Naoe, Masahiro Yada, M. Shinagawa, Yoshinori Matsumoto, Jun Katsuyama, Hiroaki Tanaka, Yoshiaki Tanaka
This paper describes a low invasiveness electro-optic (EO) probe in an electric field from a device under test in comparison with an electrical probe by an experiment and an electromagnetic field simulation. We proposed a new method of an invasiveness estimation based on the difference between the results with and without a probe. The characteristics of the difference in the experimental results agreed with those of the simulation results. The invasiveness of the EO probe was smaller than that of the electrical probe using the proposed method. The invasiveness of the simulation results was underestimated in comparison with that of the experimental results. It is necessary to model the peripheral subjects for accurate invasiveness estimation in the electromagnetic field simulation.
{"title":"Invasiveness Estimation of Electro-Optic Probe in Electric Field","authors":"Tomoya Naoe, Masahiro Yada, M. Shinagawa, Yoshinori Matsumoto, Jun Katsuyama, Hiroaki Tanaka, Yoshiaki Tanaka","doi":"10.1109/ICSENST.2018.8603571","DOIUrl":"https://doi.org/10.1109/ICSENST.2018.8603571","url":null,"abstract":"This paper describes a low invasiveness electro-optic (EO) probe in an electric field from a device under test in comparison with an electrical probe by an experiment and an electromagnetic field simulation. We proposed a new method of an invasiveness estimation based on the difference between the results with and without a probe. The characteristics of the difference in the experimental results agreed with those of the simulation results. The invasiveness of the EO probe was smaller than that of the electrical probe using the proposed method. The invasiveness of the simulation results was underestimated in comparison with that of the experimental results. It is necessary to model the peripheral subjects for accurate invasiveness estimation in the electromagnetic field simulation.","PeriodicalId":181015,"journal":{"name":"2018 12th International Conference on Sensing Technology (ICST)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124415947","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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