A. Bogdanov, Irina Ulitina, T. Lwin, N. Shchegoleva
{"title":"The Impact of Big Data on the Choice of Storage","authors":"A. Bogdanov, Irina Ulitina, T. Lwin, N. Shchegoleva","doi":"10.1109/CSITechnol.2019.8895173","DOIUrl":"https://doi.org/10.1109/CSITechnol.2019.8895173","url":null,"abstract":"Data Lake is a technology that became very popular because Big Data is a part of modern reality. However, modern databases often do not fit the data that organizations want to store because of various reasons. When should people think about using Data Lakes? In what cases can Data Lakes be used, and when will their use bring some benefits to companies? We introduce the Data Lake view to Big Data processing. We present a new approach to distributed Database System and we propose to use some effective Data tools for databases management. In this article, we analyze how to use this technology, discuss the prospects and possible problems in the implementation of Data Lakes in practice.","PeriodicalId":414834,"journal":{"name":"2019 Computer Science and Information Technologies (CSIT)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128898570","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":"Information Systems in Corporate Personnel Training","authors":"E. Mitrofanova, A. Mitrofanova, R. Ashurbekov","doi":"10.1109/CSITechnol.2019.8895114","DOIUrl":"https://doi.org/10.1109/CSITechnol.2019.8895114","url":null,"abstract":"The use of information technologies in personnel management is an important part of modern labour relations in any organization. The purpose of the article is to present the algorithm, which makes it possible to develop and implement corporate information systems of personnel training. The article views modern tendencies of formation of personnel training information systems; the specifics of information systems of training, presented in the market, is shown; the factors increasing and decreasing the efficiency of their use as well as the risks of information training systems implementation, are described; the efficiency of corporate information systems of personnel training is justified.","PeriodicalId":414834,"journal":{"name":"2019 Computer Science and Information Technologies (CSIT)","volume":"196 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123960310","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":"Solving Scheduling Problems with Randomized and Parallelized Brute-Force Approach","authors":"R. Davidrajuh, Chunming Rong","doi":"10.1109/CSITechnol.2019.8895104","DOIUrl":"https://doi.org/10.1109/CSITechnol.2019.8895104","url":null,"abstract":"Most of the scheduling problems are NP-hard problems. Thus, they do not have polynomial-time solutions. The literature review provides hundreds of methods and approaches to find polynomial-time near-optimal solutions. Most of these approaches are based on genetic algorithms. Genetic algorithms have the power of scanning most of the solution space, and they are not vulnerable to hill-climbing phenomena. However, as this paper shows, genetic algorithms cannot be used if the rate of production of healthy offspring is very low. Hence, this paper proposes a novel approach that is based on randomized brute-force and inspired by genetic algorithms. Also, the proposed approach uses parallel processing.","PeriodicalId":414834,"journal":{"name":"2019 Computer Science and Information Technologies (CSIT)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114726654","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":"Accurate Pressure Calculation Method for CMP Modeling Using Fourier Analysis","authors":"R. Ghulghazaryan, Suren Alaverdyan, D. Piliposyan","doi":"10.1109/CSITechnol.2019.8895113","DOIUrl":"https://doi.org/10.1109/CSITechnol.2019.8895113","url":null,"abstract":"Chemical-mechanical polishing/planarization (CMP) is one of the key processes used in electronic chip manufacturing. In CMP, a rotating wafer is pressed facedown onto a rotating polishing pad. A chemical “slurry” containing abrasive particles and chemical reagents is deposited on the pad during polishing, and flows between the wafer and the pad. The combined action of the polishing pad, abrasive particles, and chemical reagents results in material removal and planarization of the wafer surface.In recent years, modeling of the CMP process has become critical for detection of planarity defects in chips before manufacturing. One of the key parameters affecting the surface planarization is the pressure, with which the wafer is pressed against the pad. Calculation of the pressure distribution across the wafer surface is crucial for modeling the CMP process. This pressure calculation typically uses contact mechanics methods that include solving an integral equation using fast Fourier (FFT) and inverse fast Fourier (IFFT) transforms. However, the kernel of the integral equation has singularities that lead to numerical instability.In this paper, we propose a method to avoid numerical instabilities in pressure calculation by using an analytical expression for the Fourier transform of the kernel function.","PeriodicalId":414834,"journal":{"name":"2019 Computer Science and Information Technologies (CSIT)","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116494607","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":"Unified Software Platform for Discrete Tomography Reconstruction Algorithms","authors":"A. Margaryan","doi":"10.1109/CSITechnol.2019.8895175","DOIUrl":"https://doi.org/10.1109/CSITechnol.2019.8895175","url":null,"abstract":"In this paper a unified software platform DTR (Discrete Tomography Reconstruction) is introduced created for discrete tomography reconstruction algorithms.","PeriodicalId":414834,"journal":{"name":"2019 Computer Science and Information Technologies (CSIT)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116999158","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":"Hyper: Distributed Cloud Processing for Large-Scale Deep Learning Tasks","authors":"Davit Buniatyan","doi":"10.1109/CSITechnol.2019.8895139","DOIUrl":"https://doi.org/10.1109/CSITechnol.2019.8895139","url":null,"abstract":"Training and deploying deep learning models in real-world applications require processing large amounts of data. This is a challenging task when the amount of data grows to a hundred terabytes, or even, petabyte-scale. We introduce a hybrid distributed cloud framework with a unified view to multiple clouds and an on-premise infrastructure for processing tasks using both CPU and GPU compute instances at scale. The system implements a distributed file system and failure-tolerant task processing scheduler, independent of the language and Deep Learning framework used. It allows to utilize unstable cheap resources on the cloud to significantly reduce costs. We demonstrate the scalability of the framework on running pre-processing, distributed training, hyperparameter search and large-scale inference tasks utilizing 10,000 CPU cores and 300 GPU instances with overall processing power of 30 petaflops.12","PeriodicalId":414834,"journal":{"name":"2019 Computer Science and Information Technologies (CSIT)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127883423","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":"L1 Adaptive Control of Quadcopters","authors":"O. Gasparyan, Haykanush G. Darbinyan","doi":"10.1109/CSITechnol.2019.8895217","DOIUrl":"https://doi.org/10.1109/CSITechnol.2019.8895217","url":null,"abstract":"The issue of developing a control system for compensating external disturbances acting on the quadcopter is considered. The proposed design procedure consists in introducing a decoupling compensator into the system and subsequent synthesis of an adaptive regulator that provides compensation of external disturbances. It is shown that by virtue of choosing the value of the adaptation gain one can reduce the control system error to any arbitrary small value. The proposed control architecture can be used for developing fault-tolerant control systems of multirotor copters.","PeriodicalId":414834,"journal":{"name":"2019 Computer Science and Information Technologies (CSIT)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121642967","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}