Boris I Godoy, Ye Lin, Juan C Agüero, Sean B Andersson
{"title":"A 2-step algorithm for the estimation of time-varying single particle tracking models using Maximum Likelihood.","authors":"Boris I Godoy, Ye Lin, Juan C Agüero, Sean B Andersson","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Single particle tracking (SPT) is a powerful class of methods for studying the dynamics of biomolecules inside living cells. The techniques reveal both trajectories of individual particles, with a resolution well below the diffraction limit of light, and the parameters defining the motion model, such as diffusion coefficients and confinement lengths. Existing algorithms assume these parameters are constant throughout an experiment. However, it has been demonstrated that they often vary with time as the tracked particles move through different regions in the cell or as conditions inside the cell change in response to stimuli. In this work we apply the method of local Maximum Likelihood (ML) estimation to the SPT application combined with change detection. Local ML uses a sliding window over the data, estimating the model parameters in each window. Once we have found the values for the parameters before and after the change, we apply offline change detection to know the exact time of the change. Then, we reestimate these parameters and show that there is an improvement in the estimation of key parameters found in SPT. Preliminary results using simulated data with a basic diffusion model with additive Gaussian noise show that our proposed algorithm is able to track abrupt changes in the parameters as they evolve during a trajectory.</p>","PeriodicalId":93267,"journal":{"name":"Asian Control Conference. Asian Control Conference","volume":"2019 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8277157/pdf/nihms-1611718.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39185079","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Y. Shimada, H. Ohtsuka, Tadashi Matsumoto, M. Harada
{"title":"Cooperative capture by multi-agent using reinforcement learning application for security patrol systems","authors":"Y. Shimada, H. Ohtsuka, Tadashi Matsumoto, M. Harada","doi":"10.1109/ASCC.2015.7244682","DOIUrl":"https://doi.org/10.1109/ASCC.2015.7244682","url":null,"abstract":"","PeriodicalId":93267,"journal":{"name":"Asian Control Conference. Asian Control Conference","volume":"31 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2015-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81938197","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}
Meiling Wang, Yong Yu, Qizhen Wang, Yi Yang, Tong Liu
{"title":"The construction method of GIS for autonomous vehicles","authors":"Meiling Wang, Yong Yu, Qizhen Wang, Yi Yang, Tong Liu","doi":"10.1109/ASCC.2013.6606147","DOIUrl":"https://doi.org/10.1109/ASCC.2013.6606147","url":null,"abstract":"In order to achieve the dynamic construction of GIS which shows the environment information around the driving autonomous vehicle, this paper introduces a method, including the data fusion of laser radar, GPS and IMU, the registration of point cloud data, the rasterisation and the extraction of isosurface. The geographic objects which influence the driving characteristics of the autonomous vehicle can be extracted from the processed isosurface according to the analysis of the feature of the autonomous vehicle. This construction method improves some limited ability of GIS, which can provide the navigation information for the autonomous vehicle.","PeriodicalId":93267,"journal":{"name":"Asian Control Conference. Asian Control Conference","volume":"88 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2013-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76172479","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}
{"title":"Marketing capabilities of IT listed company in China: A empirical study based on stochastic frontier method","authors":"Ge-Hua Chen, Hongsheng Xia","doi":"10.1109/ASCC.2013.6606380","DOIUrl":"https://doi.org/10.1109/ASCC.2013.6606380","url":null,"abstract":"","PeriodicalId":93267,"journal":{"name":"Asian Control Conference. Asian Control Conference","volume":"62 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2013-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74069001","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}