Pub Date : 2017-12-01DOI: 10.1109/ICSENST.2017.8304514
Marcelo Ribeiro
The investigation of new principles, technologies and applications in the context of magnetic sensors require a set of aiding tools in order be able to bring ideas out of paper, perform proofs of concept, generate data and cross check information from all steps. Each of these tools alone already show the importance of computability in modern research, but even more powerful is the ability of information exchange within such tools without too much effort. Therefore a set of equipment and software has been developed and integrated in a way that the inputs and outputs look similar enough that experiments can be equally reproduced numerically, through simulations or on experimental test benches. Its outputs are then fed to a common point where all data can be analyzed. This system intercommunicability is key for speeding up the achievement of results and shows the relevance of computational aid on the development of new technologies and applications.
{"title":"Tool intercommunicability on magnetic sensor research and development context","authors":"Marcelo Ribeiro","doi":"10.1109/ICSENST.2017.8304514","DOIUrl":"https://doi.org/10.1109/ICSENST.2017.8304514","url":null,"abstract":"The investigation of new principles, technologies and applications in the context of magnetic sensors require a set of aiding tools in order be able to bring ideas out of paper, perform proofs of concept, generate data and cross check information from all steps. Each of these tools alone already show the importance of computability in modern research, but even more powerful is the ability of information exchange within such tools without too much effort. Therefore a set of equipment and software has been developed and integrated in a way that the inputs and outputs look similar enough that experiments can be equally reproduced numerically, through simulations or on experimental test benches. Its outputs are then fed to a common point where all data can be analyzed. This system intercommunicability is key for speeding up the achievement of results and shows the relevance of computational aid on the development of new technologies and applications.","PeriodicalId":289209,"journal":{"name":"2017 Eleventh International Conference on Sensing Technology (ICST)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131905553","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 : 2017-12-01DOI: 10.1109/ICSENST.2017.8304500
S. Rahman, Hsing-Chung Chang
Fire severity is the direct result of the combustion process and is related to the rate at which fuel is being consumed. Many studies have already been conducted to map fire severity using different burn severity indices and some of the research studies were based on field-based validation. A few studies have used the coarse and medium resolution satellite-based time series data to assess the fire severity and to assess the impacts on vegetation recovery. Therefore, this study is a remote sensing approach to map fire severity and to assess the vegetation regrowth after a big fire event (Black Christmas Bushfires) at the selected national parks in the outskirts of Sydney, Australia, using Moderate-resolution Imaging Spectroradiometer (MODIS) Data [from the year 2000 to 2016]. Two established fire severity indices, Normalised Burn Ratio (NBR) and differenced Normalised Burn Ratio (dNBR) were used to detect fire severity. Time series analysis of MODIS-derived vegetation indices [LAI (Leaf Area Index) and NDVI (Normalised Difference Vegetation Index)] was applied to understand the change in the phenological cycle after the fire events. Time-series analysis showed that MODIS-NDVI provides robust seasonality assessment than MODIS-LAI profile. The woodland area (Eucalypt Medium Woodland Forest) showed delayed vegetation recovery after the Big Christmas Bushfires.
{"title":"Assessment of fire severity and vegetation response using moderate-resolution imaging spectroradiometer: Moderate resolution (MODIS) satellite images to assess vegetation response after a big fire event at the selected national parks around Sydney, Australia","authors":"S. Rahman, Hsing-Chung Chang","doi":"10.1109/ICSENST.2017.8304500","DOIUrl":"https://doi.org/10.1109/ICSENST.2017.8304500","url":null,"abstract":"Fire severity is the direct result of the combustion process and is related to the rate at which fuel is being consumed. Many studies have already been conducted to map fire severity using different burn severity indices and some of the research studies were based on field-based validation. A few studies have used the coarse and medium resolution satellite-based time series data to assess the fire severity and to assess the impacts on vegetation recovery. Therefore, this study is a remote sensing approach to map fire severity and to assess the vegetation regrowth after a big fire event (Black Christmas Bushfires) at the selected national parks in the outskirts of Sydney, Australia, using Moderate-resolution Imaging Spectroradiometer (MODIS) Data [from the year 2000 to 2016]. Two established fire severity indices, Normalised Burn Ratio (NBR) and differenced Normalised Burn Ratio (dNBR) were used to detect fire severity. Time series analysis of MODIS-derived vegetation indices [LAI (Leaf Area Index) and NDVI (Normalised Difference Vegetation Index)] was applied to understand the change in the phenological cycle after the fire events. Time-series analysis showed that MODIS-NDVI provides robust seasonality assessment than MODIS-LAI profile. The woodland area (Eucalypt Medium Woodland Forest) showed delayed vegetation recovery after the Big Christmas Bushfires.","PeriodicalId":289209,"journal":{"name":"2017 Eleventh International Conference on Sensing Technology (ICST)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114538218","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 : 2017-12-01DOI: 10.1109/ICSENST.2017.8304426
L. L. Dhirani, T. Newe, E. Lewis, S. Nizamani
The Internet of Things (IoT) has presented many new dimensions to information technology and data communications and has helped to develop the concepts of Smart City, Smart Travel, Smart Surveillance, Smart Health, Smart Energy, Smart Agriculture, etc. IoT offers lots of opportunity to alter conventional monitoring methods through the use of Smart IT, but it has performance limitations in terms of computational resources, limited storage and processing big data. By merging IoT and cloud computing the industry can overcome the low processing power and storage limitations of IoT, since, cloud computing is ubiquitous, comprises high computational and storage capacity ability, has unlimited virtual resources available and is capable of processing big data. However, the cloud is not a free resource and its costs need to be managed. In this paper, we discuss various cost issues which need to be smartly managed for Industries adopting the Cloud with IoT.
{"title":"Cloud computing and Internet of Things fusion: Cost issues","authors":"L. L. Dhirani, T. Newe, E. Lewis, S. Nizamani","doi":"10.1109/ICSENST.2017.8304426","DOIUrl":"https://doi.org/10.1109/ICSENST.2017.8304426","url":null,"abstract":"The Internet of Things (IoT) has presented many new dimensions to information technology and data communications and has helped to develop the concepts of Smart City, Smart Travel, Smart Surveillance, Smart Health, Smart Energy, Smart Agriculture, etc. IoT offers lots of opportunity to alter conventional monitoring methods through the use of Smart IT, but it has performance limitations in terms of computational resources, limited storage and processing big data. By merging IoT and cloud computing the industry can overcome the low processing power and storage limitations of IoT, since, cloud computing is ubiquitous, comprises high computational and storage capacity ability, has unlimited virtual resources available and is capable of processing big data. However, the cloud is not a free resource and its costs need to be managed. In this paper, we discuss various cost issues which need to be smartly managed for Industries adopting the Cloud with IoT.","PeriodicalId":289209,"journal":{"name":"2017 Eleventh International Conference on Sensing Technology (ICST)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115277020","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 : 2017-12-01DOI: 10.1109/ICSENST.2017.8304466
H. Jull, R. Künnemeyer, P. Schaare
Precision agriculture requires accurate infield sensing technologies to give real-time information. Laser-induced breakdown spectroscopy (LIBS) has been used for the analysis of plant material in laboratories. Presented here is a study on using various chemometric methods to improve the accuracy of LIBS models for nutrient prediction in fresh pasture. Results show that the difference between methods is small, around 1 % difference between normalized root mean squared error in cross-validation.
{"title":"Considerations needed for sensing mineral nutrient levels in fresh pasture using LIBS","authors":"H. Jull, R. Künnemeyer, P. Schaare","doi":"10.1109/ICSENST.2017.8304466","DOIUrl":"https://doi.org/10.1109/ICSENST.2017.8304466","url":null,"abstract":"Precision agriculture requires accurate infield sensing technologies to give real-time information. Laser-induced breakdown spectroscopy (LIBS) has been used for the analysis of plant material in laboratories. Presented here is a study on using various chemometric methods to improve the accuracy of LIBS models for nutrient prediction in fresh pasture. Results show that the difference between methods is small, around 1 % difference between normalized root mean squared error in cross-validation.","PeriodicalId":289209,"journal":{"name":"2017 Eleventh International Conference on Sensing Technology (ICST)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124503948","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 : 2017-12-01DOI: 10.1109/ICSENST.2017.8304513
R. D. Souza, V. C. C. Roza, O. Postolache
This work presents the development of a multi-sensing interface called Palsy Thera Sense, to provide information data obtained during physical therapy of the children with cerebral palsy. It allows the monitoring the children's motor skills, and provide metrics that can be later used for proper and effective training. This interface is based on distributed force measurement system characterized by two different load cells. The signals from signals from the load cells distributed on the level of a force platform and at the level of child's body support ropes that are tied on the cerebral palsy spider cage are acquired and wireless transmitted to a client computation platform. Thus different tests can be carried out including, center of forces measurements and gait simulations. These tests can be study of children balance during different activities such as serious game playing for upper limb rehabilitation. The interface shown to be an important tool that provide support to cerebral palsy rehabilitation process, and for objective evaluation of the patients during the rehabilitation period. Several experimental results are included in the paper highlighting the capabilities of the designed and implemented multi-sensing system.
{"title":"A multi-sensing physical therapy assessment for children with cerebral palsy","authors":"R. D. Souza, V. C. C. Roza, O. Postolache","doi":"10.1109/ICSENST.2017.8304513","DOIUrl":"https://doi.org/10.1109/ICSENST.2017.8304513","url":null,"abstract":"This work presents the development of a multi-sensing interface called Palsy Thera Sense, to provide information data obtained during physical therapy of the children with cerebral palsy. It allows the monitoring the children's motor skills, and provide metrics that can be later used for proper and effective training. This interface is based on distributed force measurement system characterized by two different load cells. The signals from signals from the load cells distributed on the level of a force platform and at the level of child's body support ropes that are tied on the cerebral palsy spider cage are acquired and wireless transmitted to a client computation platform. Thus different tests can be carried out including, center of forces measurements and gait simulations. These tests can be study of children balance during different activities such as serious game playing for upper limb rehabilitation. The interface shown to be an important tool that provide support to cerebral palsy rehabilitation process, and for objective evaluation of the patients during the rehabilitation period. Several experimental results are included in the paper highlighting the capabilities of the designed and implemented multi-sensing system.","PeriodicalId":289209,"journal":{"name":"2017 Eleventh International Conference on Sensing Technology (ICST)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129335192","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 : 2017-12-01DOI: 10.1109/ICSENST.2017.8304447
Devvi Sarwinda, A. Bustamam, A. M. Arymurthy
This paper investigates texture feature capabilities from fundus images to differentiate between diabetic retinopathy (DR), age-related macular degeneration (AMD) screening and normal. Our proposed method using improvement of local binary pattern (LBP) with calculation of LBP original value and magnitude value of fundus images. This method is compared with Local Line Binary Pattern (LLBP). In this study, four experiments (DR-Normal, DR-AMD, AMD-Normal, Multiclass) were designed for two databases, DIARETDB0 database and STARE. Kernel PCA is choosed as feature selection method, and three classifiers are tested (Naive Bayes, SVM, and KNN). The experimental results show that our proposed method has higher accuracy than LLBP, with accuracy of binary classification 100% for DR-Normal and AMD-Normal. While, multiclass classification (DR-AMD-Normal) achieves an accuracy 80–84%. These results suggest that our proposed method in this paper can be useful in a diagnosis aid system for diabetic retinopathy.
{"title":"Fundus image texture features analysis in diabetic retinopathy diagnosis","authors":"Devvi Sarwinda, A. Bustamam, A. M. Arymurthy","doi":"10.1109/ICSENST.2017.8304447","DOIUrl":"https://doi.org/10.1109/ICSENST.2017.8304447","url":null,"abstract":"This paper investigates texture feature capabilities from fundus images to differentiate between diabetic retinopathy (DR), age-related macular degeneration (AMD) screening and normal. Our proposed method using improvement of local binary pattern (LBP) with calculation of LBP original value and magnitude value of fundus images. This method is compared with Local Line Binary Pattern (LLBP). In this study, four experiments (DR-Normal, DR-AMD, AMD-Normal, Multiclass) were designed for two databases, DIARETDB0 database and STARE. Kernel PCA is choosed as feature selection method, and three classifiers are tested (Naive Bayes, SVM, and KNN). The experimental results show that our proposed method has higher accuracy than LLBP, with accuracy of binary classification 100% for DR-Normal and AMD-Normal. While, multiclass classification (DR-AMD-Normal) achieves an accuracy 80–84%. These results suggest that our proposed method in this paper can be useful in a diagnosis aid system for diabetic retinopathy.","PeriodicalId":289209,"journal":{"name":"2017 Eleventh International Conference on Sensing Technology (ICST)","volume":"400 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130214416","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 : 2017-12-01DOI: 10.1109/ICSENST.2017.8304471
Qingquan Sun, Eli Gonzalez, Beverly Abadines
This paper presents a wearable hand movement rehabilitation system for stroke patients. The system is developed based on data glove and keyboard games. Rehabilitation practice is achieved via hand gesture recognition. In this work, the data glove with bending sensors is good for motion data collection during hand movement rehabilitation. The hand animation model, combined with keyboard games, enables the stroke patient under test to see its fingers movements and exercise process. In feedback stage, the rehabilitation evaluation and recommendation are provided based on the recognition of hand gestures. The experimental results have demonstrated a high accuracy on overt gesture recognition and a reasonable accuracy on complex key press gesture recognition.
{"title":"A wearable sensor based hand movement rehabilitation and evaluation system","authors":"Qingquan Sun, Eli Gonzalez, Beverly Abadines","doi":"10.1109/ICSENST.2017.8304471","DOIUrl":"https://doi.org/10.1109/ICSENST.2017.8304471","url":null,"abstract":"This paper presents a wearable hand movement rehabilitation system for stroke patients. The system is developed based on data glove and keyboard games. Rehabilitation practice is achieved via hand gesture recognition. In this work, the data glove with bending sensors is good for motion data collection during hand movement rehabilitation. The hand animation model, combined with keyboard games, enables the stroke patient under test to see its fingers movements and exercise process. In feedback stage, the rehabilitation evaluation and recommendation are provided based on the recognition of hand gestures. The experimental results have demonstrated a high accuracy on overt gesture recognition and a reasonable accuracy on complex key press gesture recognition.","PeriodicalId":289209,"journal":{"name":"2017 Eleventh International Conference on Sensing Technology (ICST)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126361696","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 : 2017-12-01DOI: 10.1109/ICSENST.2017.8304499
A. Subhani, W. Mumtaz, Nidal Kamil, N. Saad, N. Nandagopal, A. Malik
Mental stress is a social concern causing functional disability during work routines. The evaluation of stress using electroencephalogram signals is a topic of contemporary research. EEG provides several different features and the selection of appropriate features becomes a question. This study presents the utilization of feature selection using maximum relevance and minimum redundancy (MRMR) based on mutual information (MI) on the obtained features from electroencephalogram (EEG) signals during stress and control tasks. We moved forward in recording EEG during stress which was induced by taking up an eminent experimental model based on the Montreal Imaging Stress Task (MIST). The induced stress was endorsed by the performance during the task and the response of the subjects. The methodology consist of EEG feature extraction such as the absolute power and relative power, feature selection (MI) and classification using the support vector machine. The results of the proposed methodology showed a maximum accuracy of 93.75% and above 85% accuracy throughout the experiment. The performance is better than the existing studies in the literature. In conclusion, the MRMR criterion of feature selection using MI gives reliable and consistent results for the classification of stress.
{"title":"MRMR based feature selection for the classification of stress using EEG","authors":"A. Subhani, W. Mumtaz, Nidal Kamil, N. Saad, N. Nandagopal, A. Malik","doi":"10.1109/ICSENST.2017.8304499","DOIUrl":"https://doi.org/10.1109/ICSENST.2017.8304499","url":null,"abstract":"Mental stress is a social concern causing functional disability during work routines. The evaluation of stress using electroencephalogram signals is a topic of contemporary research. EEG provides several different features and the selection of appropriate features becomes a question. This study presents the utilization of feature selection using maximum relevance and minimum redundancy (MRMR) based on mutual information (MI) on the obtained features from electroencephalogram (EEG) signals during stress and control tasks. We moved forward in recording EEG during stress which was induced by taking up an eminent experimental model based on the Montreal Imaging Stress Task (MIST). The induced stress was endorsed by the performance during the task and the response of the subjects. The methodology consist of EEG feature extraction such as the absolute power and relative power, feature selection (MI) and classification using the support vector machine. The results of the proposed methodology showed a maximum accuracy of 93.75% and above 85% accuracy throughout the experiment. The performance is better than the existing studies in the literature. In conclusion, the MRMR criterion of feature selection using MI gives reliable and consistent results for the classification of stress.","PeriodicalId":289209,"journal":{"name":"2017 Eleventh International Conference on Sensing Technology (ICST)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132675801","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}
Newly developed techniques for intelligent sensor systems make it possible to register the mechanical wear-out of parts, such as band saws, ball screws and gearbox reducers, by collecting working signals from them, such as vibrations and preload pressure and temperature changes. To build an accurate wear model, we need to log as many real signals as possible from numerous parts in machine tools. This raises a substantial problem: How can we collect a large number of real signals from the parts installed in many machine tools — which could be located anywhere in the world — and aggregate data to use in constructing a wearing model, as well as enabling remote systems analysis and send warnings if the parts are worn? In this study, based on our previous work, we design a special embedded system to realize a cloud-based service that logs mechanical wear-out of parts. Both short and long range wireless communications are tested to evaluate its performance. The proposed system can be used to collect operating signals regarding mechanical wear-out of parts and can allow manufacturers to track state of wear and send warnings to tool owners before wear-out.
{"title":"Design and evaluation of a wireless sensor system for remote mechanical parts monitoring","authors":"Huang-Chen Lee, Cheng-Hsuan Tsai, Chi-Wei Liao, Kun-Chieh Lin, Chi-Feng Li, Yung-Lin Wu, Cheng-Yu Shi, Yen-Shuo Huang","doi":"10.1109/ICSENST.2017.8304424","DOIUrl":"https://doi.org/10.1109/ICSENST.2017.8304424","url":null,"abstract":"Newly developed techniques for intelligent sensor systems make it possible to register the mechanical wear-out of parts, such as band saws, ball screws and gearbox reducers, by collecting working signals from them, such as vibrations and preload pressure and temperature changes. To build an accurate wear model, we need to log as many real signals as possible from numerous parts in machine tools. This raises a substantial problem: How can we collect a large number of real signals from the parts installed in many machine tools — which could be located anywhere in the world — and aggregate data to use in constructing a wearing model, as well as enabling remote systems analysis and send warnings if the parts are worn? In this study, based on our previous work, we design a special embedded system to realize a cloud-based service that logs mechanical wear-out of parts. Both short and long range wireless communications are tested to evaluate its performance. The proposed system can be used to collect operating signals regarding mechanical wear-out of parts and can allow manufacturers to track state of wear and send warnings to tool owners before wear-out.","PeriodicalId":289209,"journal":{"name":"2017 Eleventh International Conference on Sensing Technology (ICST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116908088","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 : 2017-12-01DOI: 10.1109/ICSENST.2017.8304430
A. Mohan, S. Mohanasankar, V. Kumar
A successive approximation type direct displacement to digital converter suitable for a floating-wiper inductive displacement sensor is proposed here. The topology of a successive approximation type digital converter (SADC) is suitably altered so that a floating-wiper inductive displacement sensor becomes an integral part of the SADC. The successive approximation logic results in the final digital output directly proportional to the displacement of the floating wiper. The hardware and logic are so designed that the final digital output is independent of the interfering inputs. The results obtained from simulation studies establish the efficacy of the proposed technique.
{"title":"Successive approximation type digital converter for floating-wiper inductive displacement sensor","authors":"A. Mohan, S. Mohanasankar, V. Kumar","doi":"10.1109/ICSENST.2017.8304430","DOIUrl":"https://doi.org/10.1109/ICSENST.2017.8304430","url":null,"abstract":"A successive approximation type direct displacement to digital converter suitable for a floating-wiper inductive displacement sensor is proposed here. The topology of a successive approximation type digital converter (SADC) is suitably altered so that a floating-wiper inductive displacement sensor becomes an integral part of the SADC. The successive approximation logic results in the final digital output directly proportional to the displacement of the floating wiper. The hardware and logic are so designed that the final digital output is independent of the interfering inputs. The results obtained from simulation studies establish the efficacy of the proposed technique.","PeriodicalId":289209,"journal":{"name":"2017 Eleventh International Conference on Sensing Technology (ICST)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128579801","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：