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Sequential Hypothesis Test with Online Usage-Constrained Sensor Selection [article]

Shang Li and Xiaoou Li and Xiaodong Wang and Jingchen Liu
2016 arXiv   pre-print
This work investigates the sequential hypothesis testing problem with online sensor selection and sensor usage constraints.  ...  To this end, we first recast the usage-constrained formulation into a Bayesian optimal stopping problem with different sampling costs for the usage-contrained sensors.  ...  CONCLUSIONS In this work, we have studied the sequential hypothesis testing with online sensor selection and sensor usage constraints.  ... 
arXiv:1601.06447v1 fatcat:rsez34qma5e6nfqhfaaygpnsbi

Structural Health Monitoring Using Modular Wireless Sensors

Neal A. Tanner, Jeannette R. Wait, Charles R. Farrar, Hoon Sohn
2003 Journal of Intelligent Materials Systems and Structures  
System integration of an online structural health monitoring module was accomplished by coupling commercially available microelectro-mechanical system sensors and a wireless telemetry unit with damage  ...  Second, a more sophisticated damage detection algorithm combining time series analysis and statistical hypothesis testing was employed using a conventional wired data acquisition system to classify a joint  ...  The main advantage of using the SPRT is that it continuously performs the hypothesis test Structural Health Monitoring point-by-point whereas a conventional hypothesis test conducts the hypothesis testing  ... 
doi:10.1177/1045389x03014001005 fatcat:mio75b7pcbdjvn2ikfskxc7wom

Distributed inference in wireless sensor networks

V. V. Veeravalli, P. K. Varshney
2011 Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences  
communication network connecting the sensors and the resource constraints at the sensors.  ...  In particular, results on distributed detection, parameter estimation and tracking in WSNs will be discussed, with a special emphasis on solutions to these inference problems that take into account the  ...  The authors would like to thank Dr Engin Masazade for his help with the preparation of this paper.  ... 
doi:10.1098/rsta.2011.0194 pmid:22124084 fatcat:jtwubvrlnnfgpkcu46jvqim3ra

Sequential (Quickest) Change Detection: Classical Results and New Directions [article]

Liyan Xie, Shaofeng Zou, Yao Xie, Venugopal V. Veeravalli
2021 arXiv   pre-print
We also discuss some new dimensions that emerge at the intersection of sequential change detection with other areas, along with a selection of modern applications and remarks on open questions.  ...  This survey starts with the basics of sequential change detection, and then moves on to generalizations and extensions of sequential change detection theory and methods.  ...  For the special case of binary hypothesis testing, we have two hypotheses, the null hypothesis and the alternative hypothesis.  ... 
arXiv:2104.04186v1 fatcat:ypxkrjyyf5dprpsc5b4kxxrnhm

An Online Framework for Learning Novel Concepts over Multiple Cues [chapter]

Luo Jie, Francesco Orabona, Barbara Caputo
2010 Lecture Notes in Computer Science  
On each round, a new hypothesis is estimated as a function of the previous one.  ...  We test our algorithm on two student-teacher experimental scenarios and in both cases results show that the algorithm learns the new concepts in real time and generalizes well.  ...  Acknowledgments We thank Andrzej Pronobis for sharing the laser sensor features. This work was sponsored by the EU project DIRAC IST-027787.  ... 
doi:10.1007/978-3-642-12307-8_25 fatcat:gnyhulhk5ndw3crjyiabht5ib4

Data Mining Techniques for Wireless Sensor Networks: A Survey

Azhar Mahmood, Ke Shi, Shaheen Khatoon, Mi Xiao
2013 International Journal of Distributed Sensor Networks  
The taxonomy together with the comparative tables can be used as a guideline to select a technique suitable for the application at hand.  ...  The main aim of deploying the WSNs-based applications is to make the real-time decision which has been proved to be very challenging due to the highly resource-constrained computing, communicating capacities  ...  [46] have proposed online one-pass algorithms for mining large sensor streams.  ... 
doi:10.1155/2013/406316 fatcat:wdrq5vffqbcylcdqvqinx4vjui

Statistical issues in ad hoc distributed simulations

Ya-Lin Huang, Richard Fujimoto, Wonho Suh, Michael Hunter, Christos Alexopoulos
2011 Proceedings of the 2011 Winter Simulation Conference (WSC)  
An ad hoc distributed simulation is a collection of online simulators embedded in a sensor network that communicate and synchronize among themselves.  ...  To illustrate one aspect of these methodologies, an example concerning rollback threshold parameter selection is presented in the context of managing surface transportation systems.  ...  With regard to sta-tistical hypothesis tests, increasing the tolerance can be done by choosing a lower significance level, that is, lowering the probability of rejecting the null hypothesis that two models  ... 
doi:10.1109/wsc.2011.6147790 dblp:conf/wsc/HuangFSHA11 fatcat:zmx6hz2stjaopbh34bjyk2wilu

Embodied Search Processes in Creative Problem Solving: How Do People Learn in Makerspaces?

Michael Tan
2016 International Conference of the Learning Sciences  
The satisfaction with the online course was measured with a single item ("I liked the online course"), and the final grade of the online course was assessed.  ...  ., "I don't like working with other students"; Cronbach's α = .72), using a six-point Likert scale (ranging from 1 = strongly disagree to 6 = strongly agree).  ...  To test whether the satisfaction with collaborative tasks is related to the general satisfaction with the online course, we conducted a linear regression using the two factors liking group work and exhaustion  ... 
dblp:conf/icls/Tan16 fatcat:4sioktlfnjblnbvfje3dkytr6u

Exploring Artificial Neural Networks Efficiency in Tiny Wearable Devices for Human Activity Recognition

Emanuele Lattanzi, Matteo Donati, Valerio Freschi
2022 Sensors  
and a 36× reduction in energy consumption, at fixed accuracy levels, for a multilayer Perceptron network with respect to more sophisticated convolution network models.  ...  The main purpose of this study is to empirically explore this trade-off through the characterization of memory usage, energy consumption, and execution time needed by different types of neural networks  ...  In particular, a McNemar test with the confidence level of 95% has been performed for each couple of MLP and CNN_2.2 models to test the null hypothesis that the two classifiers have equal accuracy for  ... 
doi:10.3390/s22072637 pmid:35408250 pmcid:PMC9003270 fatcat:jmdmksstivahpeszhwdrycgo34

A Survey of Localization in Wireless Sensor Network

Long Cheng, Chengdong Wu, Yunzhou Zhang, Hao Wu, Mengxin Li, Carsten Maple
2012 International Journal of Distributed Sensor Networks  
In this paper, we present a comprehensive survey of these challenges: localization in non-line-of-sight, node selection criteria for localization in energy-constrained network, scheduling the sensor node  ...  Finally, we introduce the evaluation criteria for localization in wireless sensor network.  ...  Node Selection Criteria for Localization in Energy- Constrained Network.  ... 
doi:10.1155/2012/962523 fatcat:yiyxju6wpbeptkwexlcyck4fbu

Replication Attack Mitigations for Static And Mobile WSN

V Manjula, C Chellappan
2011 International journal of network security and its applications  
Security is important for many sensor network applications.  ...  The replication attack can be exceedingly injurious to many important functions of the sensor network such as routing, resource allocation, misbehavior detection, etc.  ...  with Sequential probability ratio test (SPRT) have been analysed.  ... 
doi:10.5121/ijnsa.2011.3210 fatcat:4jqhj3am5ffbhen5szqkg6y6pe

Robotics and science literacy: Thinking skills, science process skills and systems understanding

Florence R. Sullivan
2008 Journal of Research in Science Teaching  
In addition, a pre/post test revealed that course participants increased their systems understanding, t (21) ¼ 22.47, p < .05.  ...  It is argued that the affordances of the robotics environment coupled with a pedagogical approach emphasizing open-ended, extended inquiry prompts the utilization of science literacy-based thinking and  ...  Adrian repositioned the sensor on the robot and tested his hypothesis. This time his hypothesis was correct.  ... 
doi:10.1002/tea.20238 fatcat:nhxjenccdzcf5lrbdssn3l2rly

Tiered architecture for on-line detection, isolation and repair of faults in wireless sensor networks

Sadaf Zahedi, Marcin Szczodrak, Ping Ji, Dinkar Mylaraswamy, Mani Srivastava, Robert Young
2008 MILCOM 2008 - 2008 IEEE Military Communications Conference  
A local tier running at resource-constrained nodes uses an embedded model of the physical world together with a hypothesis-testing detector to identify potential faults in sensor measurements and notifies  ...  We describe a two-tiered system for on-line detection of sensor faults.  ...  To summarize, we have formulated the local sensor fault characterization as (1) an estimation step, (2) hypothesis testing step and (3) a decision making step wherein we select the most appropriate  ... 
doi:10.1109/milcom.2008.4753634 fatcat:l7de7e6icvc5jcqqriqhb3dlxq

Smartphone-based outlier detection: a complex event processing approach for driving behavior detection

Igor Vasconcelos, Rafael Oliveira Vasconcelos, Bruno Olivieri, Marcos Roriz, Markus Endler, Methanias Colaço Junior
2017 Journal of Internet Services and Applications  
Our results indicate that the algorithm performs quickly and accurately; the algorithm classifies driver behavior with 95.45% accuracy.  ...  Such analysis usually requires very specific in-vehicle hardware and infrastructure sensors (e.g. loop detectors and radars), which can be costly.  ...  Regarding route selection, several potential test locations were evaluated.  ... 
doi:10.1186/s13174-017-0065-0 fatcat:onojp3c4hrh5nbdd2i3lyrwnla

Beyond discrete modeling: A continuous and efficient model for IoT

Assaad Moawad, Thomas Hartmann, Francois Fouquet, Gregory Nain, Jacques Klein, Yves Le Traon
2015 2015 ACM/IEEE 18th International Conference on Model Driven Engineering Languages and Systems (MODELS)  
Internet of Things applications analyze our past habits through sensor measures to anticipate future trends.  ...  To yield accurate predictions, intelligent systems not only rely on single numerical values, but also on structured models aggregated from different sensors.  ...  However, such a requirement is usually incompatible with IoT and models@run.time usage.  ... 
doi:10.1109/models.2015.7338239 dblp:conf/models/Moawad0FNKT15 fatcat:a44rrbzlkzdidatphi2pcizwwy
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