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Ling Shi - One of the best experts on this subject based on the ideXlab platform.
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Deterministic Sensor Selection for Centralized State Estimation Under Limited Communication Resource
IEEE Transactions on Signal Processing, 2015Co-Authors: Chao Yang, Xiaoqiang Ren, Wen Yang, Hongbo Shi, Ling ShiAbstract:This paper studies a sensor selection problem. A group of sensors measure the state of a process and send their measurements to a remote estimator. Due to Communication constraints, only limited sensors are allowed to communicate with the estimator. The paper intends to answer which sensors should be chosen such that the estimation performance of the estimator is optimized. Both reliable and packet-dropping channels are considered. It is required to minimize the steady-state estimation error covariance for reliable channels and to minimize the upper bound of the expected estimation error covariance for packet-dropping channels. For both scenarios, the original optimization problems are transformed to problems which can be solved by convex optimization techniques.
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ICIA - Sensor scheduling for Communication Resource minimization in in centralized state estimation
2014 IEEE International Conference on Information and Automation (ICIA), 2014Co-Authors: Chao Yang, Xiaoqiang Ren, Jianying Zheng, Ling ShiAbstract:We study centralized state estimation in this paper. A group of sensors measure the state of a process and transmit the measurements to a remote estimator. We consider sensor Communication scheduling to minimize the Communication Resources and at the same time guarantee a desired level of remote estimation quality. We consider both deterministic and stochastic scheduling and provide numerical algorithms to give suboptimal solutions.
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Deterministic Sensor Data Scheduling Under Limited Communication Resource
IEEE Transactions on Signal Processing, 2011Co-Authors: Chao Yang, Ling ShiAbstract:We consider finite time-horizon sensor data scheduling under limited Communication Resource. A sensor can only send d of its measurement data to a remote estimator within a time-horizon T >;>; d. When use the terminal estimation error covariance of the estimator as a performance metric, we provide an explicit form of the optimal data schedule; when use the average estimation error covariance as a performance metric, we provide a necessary condition for a schedule to be optimal for a general T . When T has a special form, the necessary condition allows us to construct an explicit optimal data schedule.
Chao Yang - One of the best experts on this subject based on the ideXlab platform.
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Deterministic Sensor Selection for Centralized State Estimation Under Limited Communication Resource
IEEE Transactions on Signal Processing, 2015Co-Authors: Chao Yang, Xiaoqiang Ren, Wen Yang, Hongbo Shi, Ling ShiAbstract:This paper studies a sensor selection problem. A group of sensors measure the state of a process and send their measurements to a remote estimator. Due to Communication constraints, only limited sensors are allowed to communicate with the estimator. The paper intends to answer which sensors should be chosen such that the estimation performance of the estimator is optimized. Both reliable and packet-dropping channels are considered. It is required to minimize the steady-state estimation error covariance for reliable channels and to minimize the upper bound of the expected estimation error covariance for packet-dropping channels. For both scenarios, the original optimization problems are transformed to problems which can be solved by convex optimization techniques.
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ICIA - Sensor scheduling for Communication Resource minimization in in centralized state estimation
2014 IEEE International Conference on Information and Automation (ICIA), 2014Co-Authors: Chao Yang, Xiaoqiang Ren, Jianying Zheng, Ling ShiAbstract:We study centralized state estimation in this paper. A group of sensors measure the state of a process and transmit the measurements to a remote estimator. We consider sensor Communication scheduling to minimize the Communication Resources and at the same time guarantee a desired level of remote estimation quality. We consider both deterministic and stochastic scheduling and provide numerical algorithms to give suboptimal solutions.
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Deterministic Sensor Data Scheduling Under Limited Communication Resource
IEEE Transactions on Signal Processing, 2011Co-Authors: Chao Yang, Ling ShiAbstract:We consider finite time-horizon sensor data scheduling under limited Communication Resource. A sensor can only send d of its measurement data to a remote estimator within a time-horizon T >;>; d. When use the terminal estimation error covariance of the estimator as a performance metric, we provide an explicit form of the optimal data schedule; when use the average estimation error covariance as a performance metric, we provide a necessary condition for a schedule to be optimal for a general T . When T has a special form, the necessary condition allows us to construct an explicit optimal data schedule.
Mershen Pillay - One of the best experts on this subject based on the ideXlab platform.
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A cluster randomised trial of a classroom Communication Resource program to change peer attitudes towards children who stutter among grade 7 students.
Trials, 2018Co-Authors: Rizwana Mallick, Harsha Kathard, Mershen Pillay, A. S. M. Borhan, Lehana ThabaneAbstract:Classroom-based stuttering intervention addressing negative peer attitudes, perceptions, teasing and bullying of children who stutter (CWS) is required as part of holistic stuttering management because of its occurrence in primary school. This study was conducted in 2017, in 10 primary schools in the Western Cape, South Africa within lower (second and third) and higher (fourth and fifth) quintiles. The primary objective of this study was to determine treatment effect at six months after intervention of grade 7 participants (Classroom Communication Resource [CCR] intervention versus no CCR) using global Stuttering Resource Outcomes Measure (SROM) scores in school clusters. The secondary objective was to determine grade 7 participant treatment effect on the SROM subscales including Positive Social Distance (PSD), Social Pressure (SP) and Verbal Interaction (VI). The subgroup objective was to determine any difference in the primary outcome between schools between and across quintile clusters (lower and higher). Once schools were stratified into lower and higher quintile (which are defined according to geographical location, fee per school and Resources) subgroup clusters, schools were assigned randomly to control and intervention groups consisting of grade 7 participants who were typically aged ≥ 11 years. Teachers received 1 h of training before administering the single-dose CCR intervention over a 60–90-min session. The CCR intervention included a social story, role-play and discussion. All participants viewed a video of a CWS and stuttering was defined at baseline. The SROM measured peer attitudes at six months after intervention. Randomisation was stratified by quintile group using a 1:1 allocation ratio. Full blinding was not possible; however, the outcome assessor was partially blinded and the analyst was also blinded. Generalised estimating equations (GEE) was used assuming an exchangeable correlation structure to analyse the data adopting an intention-to-treat principle. Multiple imputation was used to handle missing data. Criterion for statistical significance was set at alpha = 0.05. Ten schools were randomly allocated to control (k = 5) and intervention groups (k = 5), with n = 223 participants allocated to intervention and n = 231 to control groups. A total of 454 participants completed the SROMs in control (n = 231) and intervention (n = 223) groups and were analysed at baseline and six months after intervention. There was no statistically significant difference on the global SROM score (mean difference − 0.11; 95% confidence interval [CI] − 1.56–1.34; p = 0.88). There were also no significant differences on SROM subscales: PSD (mean difference 1.04; 95% CI − 1.02–311; p = 0.32), SP (mean difference − 0.45; 95% CI − 1.22–0.26; p = 0.21) and VI (mean difference 0.05; 95% CI − 1.01–1.11; p = 0.93). Additionally, there was no significant subgroup effect on the global SROM score (lower versus higher quintile subgroups) (interaction p value = 0.52). No harms were noted or reported. No statistically significant differences were noted. It is possible that the time frame was too short to note changes in peer attitudes and that further study is required to confirm the findings of this study. Clinicaltrials.gov, NCT03111524 . Registered on 9 March 2017.
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The Classroom Communication Resource (CCR) intervention to change peer’s attitudes towards children who stutter (CWS): study protocol for a randomised controlled trial
Trials, 2018Co-Authors: Rizwana Mallick, Harsha Kathard, Lehana Thabane, Mershen PillayAbstract:Children who stutter (CWS) are at a high-risk of being teased and bullied in primary school because of negative peer attitudes and perceptions towards stuttering. There is little evidence to determine if classroom-based interventions are effective in changing peer attitudes towards stuttering. The primary objective is to determine the effect of the Classroom Communication Resource (CCR) intervention versus usual practice, measured using the Stuttering Resource Outcomes Measure (SROM) 6-months post-intervention among grade 7 students. The secondary objective is to investigate attitude changes towards stuttering among grade participants on the SROM subscales. A cluster randomised controlled trial (RCT) will be conducted with schools as the unit of randomization. Schools will be stratified into quintile groups, and then randomized to receive the CCR intervention or usual practice. Quintile stratification will be conducted in accordance to the Western Cape Department of Education classification of schools according to geographical location, fee per school and allocation of Resources and funding. Participants will include primary schools in the lower (second and third) and higher (fourth and fifth) quintiles and children aged 11 years or older in grade 7 will be included. The study will consist of the CCR intervention program or usual practice as a no-CCR control. The CCR is a classroom-based, teacher led intervention tool including a story, role-play and discussion. The grade 7 teachers allocated to the CCR intervention, will be trained and will administer the intervention. The analysis will follow intention-to-treat (ITT) principle and generalized estimating equations (GEE) to compare groups on the global SROM and its subscales to account for possible clustering within schools. The subgroup hypothesis will be tested by adding an interaction term of quintile group x intervention. This study is designed to assess whether the CCR intervention versus usual practice in schools will lead to positive shift in attitudes about stuttering at 6-months post-intervention among grade 7 participants. The trial number is NCT03111524 . It was registered with clinical trials.gov Protocol registration and results system (PRS) retrospectively on 9 March 2017.
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The Classroom Communication Resource (CCR) intervention to change peer’s attitudes towards children who stutter (CWS): study protocol for a randomised controlled trial
Trials, 2018Co-Authors: Rizwana Mallick, Harsha Kathard, Lehana Thabane, Mershen PillayAbstract:Background Children who stutter (CWS) are at a high-risk of being teased and bullied in primary school because of negative peer attitudes and perceptions towards stuttering. There is little evidence to determine if classroom-based interventions are effective in changing peer attitudes towards stuttering. The primary objective is to determine the effect of the Classroom Communication Resource (CCR) intervention versus usual practice, measured using the Stuttering Resource Outcomes Measure (SROM) 6-months post-intervention among grade 7 students. The secondary objective is to investigate attitude changes towards stuttering among grade participants on the SROM subscales. Methods A cluster randomised controlled trial (RCT) will be conducted with schools as the unit of randomization. Schools will be stratified into quintile groups, and then randomized to receive the CCR intervention or usual practice. Quintile stratification will be conducted in accordance to the Western Cape Department of Education classification of schools according to geographical location, fee per school and allocation of Resources and funding. Participants will include primary schools in the lower (second and third) and higher (fourth and fifth) quintiles and children aged 11 years or older in grade 7 will be included. The study will consist of the CCR intervention program or usual practice as a no-CCR control. The CCR is a classroom-based, teacher led intervention tool including a story, role-play and discussion. The grade 7 teachers allocated to the CCR intervention, will be trained and will administer the intervention. The analysis will follow intention-to-treat (ITT) principle and generalized estimating equations (GEE) to compare groups on the global SROM and its subscales to account for possible clustering within schools. The subgroup hypothesis will be tested by adding an interaction term of quintile group x intervention. Discussion This study is designed to assess whether the CCR intervention versus usual practice in schools will lead to positive shift in attitudes about stuttering at 6-months post-intervention among grade 7 participants. Trial registration The trial number is NCT03111524 . It was registered with clinical trials.gov Protocol registration and results system (PRS) retrospectively on 9 March 2017.
S Vernalde - One of the best experts on this subject based on the ideXlab platform.
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operating system controlled network on chip
Design Automation Conference, 2004Co-Authors: V Nollet, T Marescaux, D Verkest, Jeanyves Mignolet, S VernaldeAbstract:Managing a Network-on-Chip (NoC) in an efficient way is a challenging task. To succeed, the operating system (OS) needs to be tuned to the capabilities and the needs of the NoC. Only by creating a tight interaction can we combine the necessary flexibility with the required efficiency. This paper illustrates such an interaction by detailing the management of Communication Resources in a system containing a packet-switched NoC and a closely integrated OS. Our NoC system is emulated by linking an FPGA to a PDA. We show that, with the right NoC support, the OS is able to optimize Communication Resource usage. Additionally, the OS is able to diminish or remove the interference between independent applications sharing a common NoC Communication Resource.
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DAC - Operating-system controlled network on chip
Proceedings of the 41st annual conference on Design automation - DAC '04, 2004Co-Authors: V Nollet, T Marescaux, D Verkest, Jeanyves Mignolet, S VernaldeAbstract:Managing a Network-on-Chip (NoC) in an efficient way is a challenging task. To succeed, the operating system (OS) needs to be tuned to the capabilities and the needs of the NoC. Only by creating a tight interaction can we combine the necessary flexibility with the required efficiency. This paper illustrates such an interaction by detailing the management of Communication Resources in a system containing a packet-switched NoC and a closely integrated OS. Our NoC system is emulated by linking an FPGA to a PDA. We show that, with the right NoC support, the OS is able to optimize Communication Resource usage. Additionally, the OS is able to diminish or remove the interference between independent applications sharing a common NoC Communication Resource.
Xiaoqiang Ren - One of the best experts on this subject based on the ideXlab platform.
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Deterministic Sensor Selection for Centralized State Estimation Under Limited Communication Resource
IEEE Transactions on Signal Processing, 2015Co-Authors: Chao Yang, Xiaoqiang Ren, Wen Yang, Hongbo Shi, Ling ShiAbstract:This paper studies a sensor selection problem. A group of sensors measure the state of a process and send their measurements to a remote estimator. Due to Communication constraints, only limited sensors are allowed to communicate with the estimator. The paper intends to answer which sensors should be chosen such that the estimation performance of the estimator is optimized. Both reliable and packet-dropping channels are considered. It is required to minimize the steady-state estimation error covariance for reliable channels and to minimize the upper bound of the expected estimation error covariance for packet-dropping channels. For both scenarios, the original optimization problems are transformed to problems which can be solved by convex optimization techniques.
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ICIA - Sensor scheduling for Communication Resource minimization in in centralized state estimation
2014 IEEE International Conference on Information and Automation (ICIA), 2014Co-Authors: Chao Yang, Xiaoqiang Ren, Jianying Zheng, Ling ShiAbstract:We study centralized state estimation in this paper. A group of sensors measure the state of a process and transmit the measurements to a remote estimator. We consider sensor Communication scheduling to minimize the Communication Resources and at the same time guarantee a desired level of remote estimation quality. We consider both deterministic and stochastic scheduling and provide numerical algorithms to give suboptimal solutions.