Pub Date : 2014-04-21DOI: 10.1109/ISSNIP.2014.6827691
V. Ramachandran, Andrea Sanchez Ramirez, B. V. D. Zwaag, N. Meratnia, P. Havinga
In recent years, the use of wireless sensor networks for vibration monitoring is emphasized, because of its capability to continuously monitor at hard-to-reach locations of complex machines. Low power consumption is one of the main requirements for the sensor nodes in continuous and long-term vibration monitoring. However, the power consumption of state-of-the-art wireless sensor nodes is significantly increased by wireless radio in continuously transmitting the raw vibration data to the base station. One of the ways to reduce the power consumption is to reduce the duty-cycle of wireless transmission. Accurately processing the vibration data on the sensor node and transmitting only the critical information, such as natural frequency, defective frequency and amplitude of the vibration, will not only reduce the amount of data transmitted but also the duty cycle of the wireless communication. It eventually leads to reduction of total power consumed by the sensor nodes. In this paper the capability of a sensor node to accurately process the real-time vibration data is analyzed and the corresponding power consumption is measured. In particular, impact-based analysis of real-time vibration data is performed by breaking complex signal-processing tasks into manageable segments on the sensor nodes to minimize algorithmic complexity while still meeting real-time deadlines of the algorithm. As a result, it is found that the accuracy of the on-node signal processing is comparable with conventional off-node monitoring methods, whilst reducing total power consumption.
{"title":"Energy-efficient on-node signal processing for vibration monitoring","authors":"V. Ramachandran, Andrea Sanchez Ramirez, B. V. D. Zwaag, N. Meratnia, P. Havinga","doi":"10.1109/ISSNIP.2014.6827691","DOIUrl":"https://doi.org/10.1109/ISSNIP.2014.6827691","url":null,"abstract":"In recent years, the use of wireless sensor networks for vibration monitoring is emphasized, because of its capability to continuously monitor at hard-to-reach locations of complex machines. Low power consumption is one of the main requirements for the sensor nodes in continuous and long-term vibration monitoring. However, the power consumption of state-of-the-art wireless sensor nodes is significantly increased by wireless radio in continuously transmitting the raw vibration data to the base station. One of the ways to reduce the power consumption is to reduce the duty-cycle of wireless transmission. Accurately processing the vibration data on the sensor node and transmitting only the critical information, such as natural frequency, defective frequency and amplitude of the vibration, will not only reduce the amount of data transmitted but also the duty cycle of the wireless communication. It eventually leads to reduction of total power consumed by the sensor nodes. In this paper the capability of a sensor node to accurately process the real-time vibration data is analyzed and the corresponding power consumption is measured. In particular, impact-based analysis of real-time vibration data is performed by breaking complex signal-processing tasks into manageable segments on the sensor nodes to minimize algorithmic complexity while still meeting real-time deadlines of the algorithm. As a result, it is found that the accuracy of the on-node signal processing is comparable with conventional off-node monitoring methods, whilst reducing total power consumption.","PeriodicalId":269784,"journal":{"name":"2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126602936","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 : 2014-04-21DOI: 10.1109/ISSNIP.2014.6827627
S. K. Datta, C. Bonnet, N. Nikaein
This paper presents a novel application that allows mobile clients to interact with M2M devices and endpoints in real time. The application "Connect and Control Things" (CCT) is designed to discover things, receive data from the sensors, control the actuators and generate alarms in real time. The novel capabilities of CCT are: (i) dynamic discovery of device and endpoint, (ii) real time interaction with sensors and actuators associated to M2M devices, (iii) benefit from Sensor Markup Language (SenML) representation, (iv) supporting extension of SenML capabilities for actuators and (v) learning actuators' resources and control them. The architectural design, prototypes implementation, flow of network operations and a real-life test scenario are illustrated. The prototype Android application registers higher CPU usage and power consumption due to intense network operations and parsing sensor metadata repeatedly. We have proposed several optimization techniques to reduce the CPU load, network data usage and overall power consumption. Two use cases of the application have been discussed. Finally the paper summarizes the contributions and concludes with the future research directions.
{"title":"CCT: Connect and Control Things: A novel mobile application to manage M2M devices and endpoints","authors":"S. K. Datta, C. Bonnet, N. Nikaein","doi":"10.1109/ISSNIP.2014.6827627","DOIUrl":"https://doi.org/10.1109/ISSNIP.2014.6827627","url":null,"abstract":"This paper presents a novel application that allows mobile clients to interact with M2M devices and endpoints in real time. The application \"Connect and Control Things\" (CCT) is designed to discover things, receive data from the sensors, control the actuators and generate alarms in real time. The novel capabilities of CCT are: (i) dynamic discovery of device and endpoint, (ii) real time interaction with sensors and actuators associated to M2M devices, (iii) benefit from Sensor Markup Language (SenML) representation, (iv) supporting extension of SenML capabilities for actuators and (v) learning actuators' resources and control them. The architectural design, prototypes implementation, flow of network operations and a real-life test scenario are illustrated. The prototype Android application registers higher CPU usage and power consumption due to intense network operations and parsing sensor metadata repeatedly. We have proposed several optimization techniques to reduce the CPU load, network data usage and overall power consumption. Two use cases of the application have been discussed. Finally the paper summarizes the contributions and concludes with the future research directions.","PeriodicalId":269784,"journal":{"name":"2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121193606","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 : 2014-04-21DOI: 10.1109/ISSNIP.2014.6827611
S. Xie, K. Low, E. Gunawan
A wireless network control system (WNCS) is a control system whose network is closed over a wireless channel. The control performance can be degraded due to the imperfection of the wireless network. This paper studies the co-design of Media Access Control (MAC) layer parameters and sampling period of a model-based network control system (MB-NCS). In particular, a stability condition of MB-NCS in terms of packet loss, packet delay and sampling period is established. An adaptive tuning algorithm is proposed to find the optimum parameter set, which can guarantee the stability of control system and minimize the energy consumption. The results show that the co-design approach outperforms traditional network control system in terms of energy reduction and is robust against time-varying network traffic.
{"title":"An adaptive tuning algorithm for IEEE 802.15.4-based network control system","authors":"S. Xie, K. Low, E. Gunawan","doi":"10.1109/ISSNIP.2014.6827611","DOIUrl":"https://doi.org/10.1109/ISSNIP.2014.6827611","url":null,"abstract":"A wireless network control system (WNCS) is a control system whose network is closed over a wireless channel. The control performance can be degraded due to the imperfection of the wireless network. This paper studies the co-design of Media Access Control (MAC) layer parameters and sampling period of a model-based network control system (MB-NCS). In particular, a stability condition of MB-NCS in terms of packet loss, packet delay and sampling period is established. An adaptive tuning algorithm is proposed to find the optimum parameter set, which can guarantee the stability of control system and minimize the energy consumption. The results show that the co-design approach outperforms traditional network control system in terms of energy reduction and is robust against time-varying network traffic.","PeriodicalId":269784,"journal":{"name":"2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121653351","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 : 2014-04-21DOI: 10.1109/ISSNIP.2014.6827616
Z. Ahmed, G. Strouse
For the past century, industrial temperature measurements have relied on resistance measurement of a thin metal wire or filament whose resistance varies with temperature. Though resistance thermometers can routinely measure industrial temperatures with uncertainties of 10 mK, they are sensitive to mechanical shock which causes the sensor resistance to drift over time requiring frequent off-line, expensive, and time consuming calibrations. These fundamental limitations of resistance thermometry have produced considerable interest in developing photonic temperature sensors to leverage advances in frequency metrology and to achieve greater mechanical and environmental stability. We are developing a suite of photonic devices that leverage advances in microwave and C-band light sources to fabricate cost-effective photonic temperature sensors. Our preliminary results indicate that using photonic devices such as the ring resonator we can measure short term temperature fluctuations of 80 μK at room temperature. Photonic sensor technology provides a low cost, lightweight, portable and electromagnetic interference (EMI) resistant solution which can be deployed in a wide variety of settings ranging from controlled laboratory conditions, a noisy factory floor, advanced manufacturing, to the variable environment of a residential setting.
{"title":"Transitioning from resistance devices to photonic devices for temperature measurements","authors":"Z. Ahmed, G. Strouse","doi":"10.1109/ISSNIP.2014.6827616","DOIUrl":"https://doi.org/10.1109/ISSNIP.2014.6827616","url":null,"abstract":"For the past century, industrial temperature measurements have relied on resistance measurement of a thin metal wire or filament whose resistance varies with temperature. Though resistance thermometers can routinely measure industrial temperatures with uncertainties of 10 mK, they are sensitive to mechanical shock which causes the sensor resistance to drift over time requiring frequent off-line, expensive, and time consuming calibrations. These fundamental limitations of resistance thermometry have produced considerable interest in developing photonic temperature sensors to leverage advances in frequency metrology and to achieve greater mechanical and environmental stability. We are developing a suite of photonic devices that leverage advances in microwave and C-band light sources to fabricate cost-effective photonic temperature sensors. Our preliminary results indicate that using photonic devices such as the ring resonator we can measure short term temperature fluctuations of 80 μK at room temperature. Photonic sensor technology provides a low cost, lightweight, portable and electromagnetic interference (EMI) resistant solution which can be deployed in a wide variety of settings ranging from controlled laboratory conditions, a noisy factory floor, advanced manufacturing, to the variable environment of a residential setting.","PeriodicalId":269784,"journal":{"name":"2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124978800","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 : 2014-04-21DOI: 10.1109/ISSNIP.2014.6827639
A. Narayanan, Lihui Chen, C. K. Chan
Applications that run on mobile operating systems such as Android use in-app advertisement libraries for monetization. Recent research reveals that many ad libraries, including popular ones pose threats to user privacy. Some aggressive ad libraries involve in active privacy leaks with the intention of providing targeted ads. Few intrusive ad libraries are classified as adware by commercial mobile anti-virus apps. Despite such issues, semantic detection of ad libraries from Android apps remains an unsolved problem. To this end, we have proposed and developed the AdDetect framework to perform automatic semantic detection of in-app ad libraries using semantic analysis and machine learning. A module decoupling technique based on hierarchical clustering is used to identify and recover the primary and non-primary modules of apps. Each of these modules is then represented as vectors using semantic features. A SVM classifier trained with these feature vectors is used to detect ad libraries. We have conducted an experimental study on 300 apps spread across 15 categories obtained from the official market to verify the effectiveness of AdDetect. The simulation results are promising. AdDetect achieves 95.34% accurate detection of ad libraries with very less false positives. Further analysis reveals that the proposed detection mechanism is robust against common obfuscation techniques. Detailed analysis on the detection results and semantic characteristics of different families of ad libraries is also presented.
{"title":"AdDetect: Automated detection of Android ad libraries using semantic analysis","authors":"A. Narayanan, Lihui Chen, C. K. Chan","doi":"10.1109/ISSNIP.2014.6827639","DOIUrl":"https://doi.org/10.1109/ISSNIP.2014.6827639","url":null,"abstract":"Applications that run on mobile operating systems such as Android use in-app advertisement libraries for monetization. Recent research reveals that many ad libraries, including popular ones pose threats to user privacy. Some aggressive ad libraries involve in active privacy leaks with the intention of providing targeted ads. Few intrusive ad libraries are classified as adware by commercial mobile anti-virus apps. Despite such issues, semantic detection of ad libraries from Android apps remains an unsolved problem. To this end, we have proposed and developed the AdDetect framework to perform automatic semantic detection of in-app ad libraries using semantic analysis and machine learning. A module decoupling technique based on hierarchical clustering is used to identify and recover the primary and non-primary modules of apps. Each of these modules is then represented as vectors using semantic features. A SVM classifier trained with these feature vectors is used to detect ad libraries. We have conducted an experimental study on 300 apps spread across 15 categories obtained from the official market to verify the effectiveness of AdDetect. The simulation results are promising. AdDetect achieves 95.34% accurate detection of ad libraries with very less false positives. Further analysis reveals that the proposed detection mechanism is robust against common obfuscation techniques. Detailed analysis on the detection results and semantic characteristics of different families of ad libraries is also presented.","PeriodicalId":269784,"journal":{"name":"2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127825401","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 : 2014-04-21DOI: 10.1109/ISSNIP.2014.6827684
B. Groh, Samuel J. Reinfelder, Markus N. Streicher, Adib Taraben, B. Eskofier
In professional rowing competitions, sensor data is transmitted from an on-board sensor unit on the boat to an external computer system. This system calculates the current position of each boat in real-time. However, incomplete localizations occur as a result of radio transmission outages. This paper introduces an algorithm to overcome transmission outages by predicting the rowing movement. The prediction algorithm is based on accelerometer and GPS data that is provided by the on-board unit before an outage occurs. It uses Subsequence Dynamic Time Warping (subDTW) to detect the rowing strokes in the acceleration signal. Knowing the previous strokes, the system predicts the upcoming strokes, as the rowing motion follows a periodic pattern. Thereby, the GPS measured velocity can be extrapolated and the position is predicted. A further outcome of the subDTW stroke detection is an accurate determination of the rowing stroke rate. In our experiment, we evaluate the rowing stroke detection and stroke rate determination based on subDTW as well as the prediction algorithm for simulated outages of professional race data. It shows a subDTW stroke signal detection of 100% after the start phase of the race. The prediction in case of a sensor outage of 5 seconds leads to a correlation between the predicted velocity and the actual velocity of 0.96 and a resulting position error (RMSE) of 0.3 m.
{"title":"Movement prediction in rowing using a Dynamic Time Warping based stroke detection","authors":"B. Groh, Samuel J. Reinfelder, Markus N. Streicher, Adib Taraben, B. Eskofier","doi":"10.1109/ISSNIP.2014.6827684","DOIUrl":"https://doi.org/10.1109/ISSNIP.2014.6827684","url":null,"abstract":"In professional rowing competitions, sensor data is transmitted from an on-board sensor unit on the boat to an external computer system. This system calculates the current position of each boat in real-time. However, incomplete localizations occur as a result of radio transmission outages. This paper introduces an algorithm to overcome transmission outages by predicting the rowing movement. The prediction algorithm is based on accelerometer and GPS data that is provided by the on-board unit before an outage occurs. It uses Subsequence Dynamic Time Warping (subDTW) to detect the rowing strokes in the acceleration signal. Knowing the previous strokes, the system predicts the upcoming strokes, as the rowing motion follows a periodic pattern. Thereby, the GPS measured velocity can be extrapolated and the position is predicted. A further outcome of the subDTW stroke detection is an accurate determination of the rowing stroke rate. In our experiment, we evaluate the rowing stroke detection and stroke rate determination based on subDTW as well as the prediction algorithm for simulated outages of professional race data. It shows a subDTW stroke signal detection of 100% after the start phase of the race. The prediction in case of a sensor outage of 5 seconds leads to a correlation between the predicted velocity and the actual velocity of 0.96 and a resulting position error (RMSE) of 0.3 m.","PeriodicalId":269784,"journal":{"name":"2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115926670","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 : 2014-04-21DOI: 10.1109/ISSNIP.2014.6827600
Hua Lan, A. Bishop, Q. Pan
In this paper we consider the problem of distributed, joint, state estimation and identification for a class of stochastic systems with unknown inputs (UI). A distributed Expectation-Maximization (EM) algorithm is presented to estimate the local state at each sensor node by using the local observations in the E-step, and three different consensus schemes are proposed to diffuse the local state estimate to each sensor's neighbours and to derive the global state estimate at each node. In the M-step, each sensor identifies the local unknown inputs by using the global state estimate. A numerical example of target tracking in distributed sensor network is given to verify the three different distributed EM algorithms compared with the centralized EM based measurement-level and track-level fusion.
{"title":"Distributed joint estimation and identification for sensor networks with unknown inputs","authors":"Hua Lan, A. Bishop, Q. Pan","doi":"10.1109/ISSNIP.2014.6827600","DOIUrl":"https://doi.org/10.1109/ISSNIP.2014.6827600","url":null,"abstract":"In this paper we consider the problem of distributed, joint, state estimation and identification for a class of stochastic systems with unknown inputs (UI). A distributed Expectation-Maximization (EM) algorithm is presented to estimate the local state at each sensor node by using the local observations in the E-step, and three different consensus schemes are proposed to diffuse the local state estimate to each sensor's neighbours and to derive the global state estimate at each node. In the M-step, each sensor identifies the local unknown inputs by using the global state estimate. A numerical example of target tracking in distributed sensor network is given to verify the three different distributed EM algorithms compared with the centralized EM based measurement-level and track-level fusion.","PeriodicalId":269784,"journal":{"name":"2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115205181","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 : 2014-04-21DOI: 10.1109/ISSNIP.2014.6827687
Luis A. Andia Montes, M. Raja, F. Wong, M. Je
A novel circuit technique that does not compromise the efficiency, while varying the output power of power amplifiers, suitable for wireless sensor networks is reported in this paper. For robustness sake, the technique allows to distribute the voltage swing among three cascoded transistors. While PA voltage supply is swept for power level control, one of its common gate transistors conduction angle is varied through a mirrored current source to guarantee high efficiency at all power levels. To validate the concept, a self-biased triple cascode class E power amplifier for Bluetooth Class 1 has been designed using a 0.13μm CMOS process. Measurements show that the power added efficiency (PAE) decreases only by 17.2% from the maximum value of 59.2% over an 18dB power control range with +20dBm maximum output power. Compared to other state of the work, proposed technique demonstrates a PAE improvement of 15.6% at the highest power, 35% when operated at the lowest power.
{"title":"An efficient power control scheme for a 2.4GHz class-E PA in 0.13-μm CMOS","authors":"Luis A. Andia Montes, M. Raja, F. Wong, M. Je","doi":"10.1109/ISSNIP.2014.6827687","DOIUrl":"https://doi.org/10.1109/ISSNIP.2014.6827687","url":null,"abstract":"A novel circuit technique that does not compromise the efficiency, while varying the output power of power amplifiers, suitable for wireless sensor networks is reported in this paper. For robustness sake, the technique allows to distribute the voltage swing among three cascoded transistors. While PA voltage supply is swept for power level control, one of its common gate transistors conduction angle is varied through a mirrored current source to guarantee high efficiency at all power levels. To validate the concept, a self-biased triple cascode class E power amplifier for Bluetooth Class 1 has been designed using a 0.13μm CMOS process. Measurements show that the power added efficiency (PAE) decreases only by 17.2% from the maximum value of 59.2% over an 18dB power control range with +20dBm maximum output power. Compared to other state of the work, proposed technique demonstrates a PAE improvement of 15.6% at the highest power, 35% when operated at the lowest power.","PeriodicalId":269784,"journal":{"name":"2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114164722","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 : 2014-04-21DOI: 10.1109/ISSNIP.2014.6827698
T. Takeshita, Takuma Iwasaki, Kota Harisaki, R. Sawada, H. Ando, Y. Arinaga, E. Higurashi
We propose a promising biaxial shearing force measurement device with an integrated micro displacement sensor (chip size of 3 mm by 3 mm and 0.7 mm in thickness) housed in an external trapezoidal metallic frame. The displacement sensor is used to measure the tilt angles of a mirror on the ceiling of the frame caused by the shearing force applied to the upper surface of the frame. A linear signal response to applied biaxial shearing force was obtained. The range and sensitivity of the sensor depend on the material and shape of the frame and thereby allow the sensor great versatility with numerous possible applications.
{"title":"Two axial shearing force measurement device with a built-in integrated micro displacement sensor","authors":"T. Takeshita, Takuma Iwasaki, Kota Harisaki, R. Sawada, H. Ando, Y. Arinaga, E. Higurashi","doi":"10.1109/ISSNIP.2014.6827698","DOIUrl":"https://doi.org/10.1109/ISSNIP.2014.6827698","url":null,"abstract":"We propose a promising biaxial shearing force measurement device with an integrated micro displacement sensor (chip size of 3 mm by 3 mm and 0.7 mm in thickness) housed in an external trapezoidal metallic frame. The displacement sensor is used to measure the tilt angles of a mirror on the ceiling of the frame caused by the shearing force applied to the upper surface of the frame. A linear signal response to applied biaxial shearing force was obtained. The range and sensitivity of the sensor depend on the material and shape of the frame and thereby allow the sensor great versatility with numerous possible applications.","PeriodicalId":269784,"journal":{"name":"2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116671727","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 : 2014-04-21DOI: 10.1109/ISSNIP.2014.6827614
D. Reinhardt, Daniel Rodriguez Pons-Sorolla, M. Hollick, S. Kanhere
In typical participatory sensing applications, mobile devices record a variety of sensor readings (e.g., sound samples and accelerometer data), which are tagged with spatiotemporal information and uploaded to an application server. The collection of detailed location data reveal insights about the users' whereabouts and daily routines, therefore seriously compromising their privacy. Users can mutually preserve their privacy by opportunistically exchanging sensor readings during physical meetings, thus breaking the link between the collected data and their permanent identities. The success of this procedure depends on the collaboration of all participating users. Our paper proposes a scheme called TrustMeter to assess the individual user contribution to this privacy protection mechanism. Based on peer-based ratings, our system attributes trust levels to each user allowing to readily identify and quarantine malicious users. We investigate the TrustMeters performance under different attacks by means of extensive simulations, and show that it succeeds in quarantining malicious users in most analyzed scenarios.
{"title":"TrustMeter: A trust assessment scheme for collaborative privacy mechanisms in participatory sensing applications","authors":"D. Reinhardt, Daniel Rodriguez Pons-Sorolla, M. Hollick, S. Kanhere","doi":"10.1109/ISSNIP.2014.6827614","DOIUrl":"https://doi.org/10.1109/ISSNIP.2014.6827614","url":null,"abstract":"In typical participatory sensing applications, mobile devices record a variety of sensor readings (e.g., sound samples and accelerometer data), which are tagged with spatiotemporal information and uploaded to an application server. The collection of detailed location data reveal insights about the users' whereabouts and daily routines, therefore seriously compromising their privacy. Users can mutually preserve their privacy by opportunistically exchanging sensor readings during physical meetings, thus breaking the link between the collected data and their permanent identities. The success of this procedure depends on the collaboration of all participating users. Our paper proposes a scheme called TrustMeter to assess the individual user contribution to this privacy protection mechanism. Based on peer-based ratings, our system attributes trust levels to each user allowing to readily identify and quarantine malicious users. We investigate the TrustMeters performance under different attacks by means of extensive simulations, and show that it succeeds in quarantining malicious users in most analyzed scenarios.","PeriodicalId":269784,"journal":{"name":"2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115248609","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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