S. Balagan, E. Chusovitin, D. Goroshko, O. Goroshko
{"title":"Universal algorithm for scanning probe microscopy images grain analysis of objects on the surface","authors":"S. Balagan, E. Chusovitin, D. Goroshko, O. Goroshko","doi":"10.1109/RPC.2017.8168059","DOIUrl":"https://doi.org/10.1109/RPC.2017.8168059","url":null,"abstract":"Currently, scanning probe microscopy (SPM) is actively used to obtain surface data. A large number of images require a fast and high-accuracy calculation of the topographic parameters of particles on the surface. The original grain analysis algorithm based on finding a local maximum is realized by sorting an array of points forming the topography of the SPM image surface. It provides to determine various topographic characteristics of objects located on a surface (height, lateral dimensions, area, volume, etc.)","PeriodicalId":144625,"journal":{"name":"2017 Second Russia and Pacific Conference on Computer Technology and Applications (RPC)","volume":"145 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133486883","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":"Principles of organizing the semantic ontology of programming","authors":"V. N. Kuchuganov, D. R. Kasimov, M. Kuchuganov","doi":"10.1109/RPC.2017.8168082","DOIUrl":"https://doi.org/10.1109/RPC.2017.8168082","url":null,"abstract":"A promising way to improve the programming process is increasing the declarativeness of programming, approximation to natural language on the base of accumulating and actively using knowledge. The essence of the proposed approach is representing the semantics of a program in the form of a set of concepts about actions, participants, resources and relations between them, accumulation and classification of machine-readable knowledge of computer programs in order to increase the degree of automation of programming. The novelty of the presented work is retrieving relevant precedents by the given description of resources and actions under them. The paper describes the ontological model of a program, considers the technology of programming using ontologies, gives an example of definition of the semantics of a problem, and discusses the positive aspects of the proposed approach.","PeriodicalId":144625,"journal":{"name":"2017 Second Russia and Pacific Conference on Computer Technology and Applications (RPC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121195453","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}
D. V. Gmar, K.I. Dyuldina, S. Snopko, K. Shakhgeldyan, V. V. Kryukov
{"title":"Indoor navigation service based on Wi-Fi positioning","authors":"D. V. Gmar, K.I. Dyuldina, S. Snopko, K. Shakhgeldyan, V. V. Kryukov","doi":"10.1109/RPC.2017.8168070","DOIUrl":"https://doi.org/10.1109/RPC.2017.8168070","url":null,"abstract":"The paper provides a review of the in-building positioning algorithm based on the wireless access point signal and the elaboration of the mobile application providing indoor navigation. The research highlights the positioning algorithm through matching mobile devices data to the reference image signal. With the algorithm in use, the Location Based Service (LBS) provides in real time operation tracing of a mobile user with a location-aware application.","PeriodicalId":144625,"journal":{"name":"2017 Second Russia and Pacific Conference on Computer Technology and Applications (RPC)","volume":"371 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122920800","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":"The use of big data for extraction and processing of statistical data of the private healthcare sector","authors":"K. Shakhgeldyan, N. Stepanov, B. Geltser","doi":"10.1109/RPC.2017.8168090","DOIUrl":"https://doi.org/10.1109/RPC.2017.8168090","url":null,"abstract":"The article deals with the development of technology for extraction and processing of statistical information of private sector of regional healthcare. The concept of data mining from various sources in the Internet, methods of extraction and integration of information about medical organizations of private sector of regional healthcare are presented.","PeriodicalId":144625,"journal":{"name":"2017 Second Russia and Pacific Conference on Computer Technology and Applications (RPC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121917240","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}