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Vision based fire detection

Che-Bin Liu, N. Ahuja
2004 Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.  
Specifically, an autoregressive model of the Fourier coefficient series is used. Experiments with a large number of scenes show that our method is capable of detecting fire reliably.  ...  Vision based fire detection is potentially a useful technique.  ...  For detection purpose, we represent only the fire boundary as Fourier coefficients.  ... 
doi:10.1109/icpr.2004.1333722 dblp:conf/icpr/LiuA04 fatcat:hqddr3it3nd6hntwer5bewe35u

Tracking Area Boundary-aware Protocol for Pseudo Stochastic Mobility Prediction in LTE Networks

Vincent Omollo Nyangaresi, School of Information Sciences and Technology, Kisii University, 40200 - Kenya, Silvance O. Abeka, Anthony J. Rodrigues
2020 International Journal of Information Technology and Computer Science  
Moreover, the greatest challenge of the random direction model is the requirement that a border behavior model be specified for the reaction of mobile stations reaching the simulation area boundary.  ...  The conventional mobility prediction models operate on unrealistic assumptions that make them unsuitable for cellular network mobile station tracking.  ...  detection BEGIN: /* Pseudo-Stochastic Mobility Tracking Protocol */ 1.  ... 
doi:10.5815/ijitcs.2020.05.04 fatcat:mu7ec7g6rrcfdf6mzxmo6jrfoi

Simulation of stochastic hybrid systems with switching and reflecting boundaries

Derek Riley, Kasandra Riley
2008 2008 Winter Simulation Conference  
Stochastic hybrid systems are an ideal modeling paradigm for biochemical systems because they combine continuous and discrete dynamics in a stochastic framework.  ...  In this work we develop a method for stochastic hybrid system simulation that explicitly considers switching and reflective boundaries.  ...  Simulation of SHS is challenging because it must accurately combine numerical integration methods for Stochastic Differential Equations (SDEs) and detection/approximation of boundary crossings and reflections  ... 
doi:10.1109/wsc.2008.4736143 dblp:conf/wsc/RileyR08 fatcat:v7osioxdurbydncl6mbkpsayy4

Simulation of Stochastic Hybrid Systems using probabilistic boundary detection and adaptive time stepping

Derek D. Riley, Xenofon Koutsoukos, Kasandra Riley
2010 Simulation modelling practice and theory  
Stochastic Hybrid Systems (SHS) are an ideal modeling paradigm for biochemical systems because they combine continuous and discrete dynamics in a stochastic framework.  ...  In this work we develop an advanced simulation method for SHS that explicitly considers switching and reflective boundaries and uses probabilistic crossing detection methods to improve accuracy.  ...  An improved method for absorbing boundary crossing detection based on stochastic sampling was developed in [16] .  ... 
doi:10.1016/j.simpat.2010.05.021 fatcat:3ffmv2tlkvga5naorwdleza7hi

Detection of High Frequency Sources in Random/Uncertain Media

Leon H. Sibul
2004 AIP Conference Proceedings  
Using ray acoustic model, we derive expressions for loss of time coherency and its dual, spectral spreading that is caused motion through a medium with random boundary conditions and inhomogeneities.  ...  The results of this paper show how randomness and/or uncertainty of medium, boundary conditions, source characterization, and source and receiver motion affects the probability of detection of a narrow  ...  Spreading functions are more convenient for analysis of signal processing systems and for derivation of ROCs for both active and passive sonar in stochastic media.  ... 
doi:10.1063/1.1843018 fatcat:vu3x4nqgzzc5nn65gfmbqdzj7q

Content Based Video Retrieval Using SURF Descriptor

S. Asha, M. Sreeraj
2013 2013 Third International Conference on Advances in Computing and Communications  
To achieve a dimensionality reduction on the SURF feature descriptor, this system employs a stochastic dimensionality reduction method and thus provides a model data for the videos.  ...  On retrieval, the model data of the test clip is classified to its similar videos using a minimum distance classifier.  ...  Shot Boundary Detection Shot Boundary detection is the process of automatically detecting the boundaries between consecutive shots i.e. identifying where a new transition begins and where it ends.  ... 
doi:10.1109/icacc.2013.49 fatcat:zmmxjig25ne3nhrvc2gqxrca64

Improved Stochastic Random Walker Segmentation based on Gaussian Filtering

Yogendra KumarJain, Nitin Kumar Patel
2013 International Journal of Computer Applications  
For given seed regions, the probability are evaluated for a stochastic random walk on this graph starting at a pixel to end in one of the seed regions.  ...  To overcome these problems, the proposed "Improved stochastic random walker segmentation based on Gaussian filtering" for stochastic image segmentation.  ...  boundary through canny edge detection.  ... 
doi:10.5120/13987-1998 fatcat:gv2z2arw5rgpvijor7vd56xzse

Solution of Radiative Transfer Equation with a Continuous and Stochastic Varying Refractive Index by Legendre Transform Method

M. Gantri
2014 Computational and Mathematical Methods in Medicine  
Results show that models accounting for variation of refractive index can yield useful predictions about the target and the location of abnormal inclusions within the tissue.  ...  The model is used to study a possible detection of abnormalities in a general biological tissue. The effect of the embedded nonhomogeneous objects on the transmitted signal is studied.  ...  This finding gives rise to the use of Legendre transform as a manner for modeling these terms. Although this technique was used by Sghaier et al.  ... 
doi:10.1155/2014/814929 pmid:25013454 pmcid:PMC4070366 fatcat:zzgen2auqjettmyihvq2766fji

Biochemical transport modeling, estimation and detection in realistic environments

Mathias Ortner, Arye Nehorai
2008 Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing  
How- ever, the boundary conditions complicate the problem. In this framework, we use a reflected stochastic diffusion to model the Neumann boundary con- ditions.  ...  conditions The behavior of the stochastic process depends on the boundary conditions.  ... 
doi:10.1109/icassp.2008.4518823 dblp:conf/icassp/OrtnerN08 fatcat:stywhv3egvdjfd56zvufa7vv6q

The Impacts of Surface Microchannels on the Transport Properties of Porous Fibrous Media Using Stochastic Pore Network Modeling

Xiang Huang, Wei Zhou, Daxiang Deng, Bin Liu, Kaiyong Jiang
2021 Materials  
This work indicates that our modeling framework is a promising methodology for the design optimization of cross-scale porous structures.  ...  A stochastic pore network modeling method with tailored structures is proposed to investigate the impacts of surface microchannels on the transport properties of porous fibrous media.  ...  Stochastic pore network modeling of 80% porosity porous fibrous material with microchannels. Step 1: the initial 80% porosity stochastic network.  ... 
doi:10.3390/ma14247546 pmid:34947141 pmcid:PMC8705612 fatcat:fobiuuqbbzhn5fuhzkuci353dm

Stochastic-HMDs: Adversarial Resilient Hardware Malware Detectors through Voltage Over-scaling [article]

Md Shohidul Islam, Ihsen Alouani, Khaled N. Khasawneh
2021 arXiv   pre-print
Specifically, we propose to leverage voltage overscaling to induce stochastic computation in the HMDs model.  ...  nor to the HMDs' model, i.e., no retraining or fine tuning is needed.  ...  Basically, RHMDs is a randomizationbased defense that switches between multiple models, i.e., decision boundaries, at run-time to perform malware detection.  ... 
arXiv:2103.06936v1 fatcat:wq3rsnkkdvhpnkeqa6szp3v6aq

Information Processing in Neuron with Exponential Distributed Delay

Saket Kumar Choudhary, Sunil Kumar Bharti
2018 International Journal of Machine Learning and Networked Collaborative Engineering  
Spike rate for LIF model in EDD is similar to that of LIF model with stochastic input at small  and reduces in LIF model in EDD is slowly than LIF model with stochastic input for increment in  as shown  ...  When membrane potential reaches at threshold value, the probability of generation of spike is 1 for absorbing boundary condition, whereas, it is 0 for reflecting boundaries.  ... 
doi:10.30991/ijmlnce.2018v02i02.003 fatcat:wewzt7bsinf6hl76l5yafobw6u

Extending multinomial processing tree models to measure the relative speed of cognitive processes

Daniel W. Heck, Edgar Erdfelder
2016 Psychonomic Bulletin & Review  
Hence, all of the statistical results and software available for MPT models can easily be used to fit, test, and compare RT-extended MPT models.  ...  Multinomial processing tree (MPT) models account for observed categorical responses by assuming a finite number of underlying cognitive processes.  ...  Moreover, stochastic dominance is more pronounced for target detection and guessing old (first row) than for lure detection and guessing new (second row).  ... 
doi:10.3758/s13423-016-1025-6 pmid:27311696 fatcat:wlgdhiek6bduhax445hjvzdsba

A role of the boundary shear layer in modeling of large scale jets

Ł. Stawarz, M. Ostrowski
2003 New astronomy reviews (Print)  
We discuss a role of the boundary shear layer of large scale jets for their observed multiwavelength emission.  ...  We show, that under simple assumptions the boundary layer acceleration can provide very high energy electrons possibly generating the X-ray emission observed by Chandra from some large scale jets in powerful  ...  be responsible -at least for some sources -for the relatively strong X-ray emission detected by Chandra (Stawarz & Ostrowski, 2002a) .  ... 
doi:10.1016/s1387-6473(03)00085-x fatcat:msodwkipx5cmbgqosc4u7kkmr4

Hybrid Massive MIMO Channel Model Based on Edge Detection of Interacting Objects and Cluster Concept

2022 International Journal of Engineering  
This paper presents a novel channel model based on the edge detection of the interacting objects (IOs) for massive multiple-input and multiple-output (MIMO) systems considering different propagation phenomena  ...  This channel model also uses cluster concepts to model multipath components (MPCs). The time-variant condition of the channel as well as the Doppler effect is considered in this channel model.  ...  Accordingly, the boundaries and inner areas of the IOs are meshed separately for detecting boundaries and inner area of the IOs. The MPCs are attributed to the outer boundaries of the IOs.  ... 
doi:10.5829/ije.2022.35.02b.23 fatcat:ohnttncqzjd7xcicil5343uoha
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