2020 10th International Conference on Advanced Computer Information Technologies (ACIT)最新文献_第6页

Method of Statistical Data Processing for Two-Stage Fatigue Tests 两阶段疲劳试验的统计数据处理方法

2020 10th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2020-09-01 DOI: 10.1109/ACIT49673.2020.9208864

O. Kozhokhina, S. Yutskevych, O. Radchenko, V. Gribov, O. Chuzha

引用次数: 1

Identification of Stakeholders Importance for the Company’s Social Responsibility using the Analytic Hierarchy Process 运用层次分析法确定利益相关者对公司社会责任的重要性

2020 10th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2020-09-01 DOI: 10.1109/ACIT49673.2020.9208897

I. Oleksiv, H. Lema, V. Kharchuk, T. Lisovych, O. Dluhopolskyi, T. Dluhopolska

{"title":"Identification of Stakeholders Importance for the Company’s Social Responsibility using the Analytic Hierarchy Process","authors":"I. Oleksiv, H. Lema, V. Kharchuk, T. Lisovych, O. Dluhopolskyi, T. Dluhopolska","doi":"10.1109/ACIT49673.2020.9208897","DOIUrl":"https://doi.org/10.1109/ACIT49673.2020.9208897","url":null,"abstract":"The idea of the current article is to identify the influence of stakeholders on corporate social responsibility (CSR) of the specific company. In general, by following CSR principles the company is trying to pursue two goals, which are the following: to be socially responsible and to create a good image in society to get higher profit. The important point is to decide which stakeholders have a strong influence on corporate social responsibility in order to develop strong relations with them and to build an effective CSR program. Thus, as the result of the application of the current method the company would be able to understand, with which stakeholders to develop its relations in order to improve its image in the external environment. The task of evaluating stakeholder influence on company SR quantitatively is quite complicated. Thus, a special method that combines expert judgments with quantitative evaluation needs to be applied. For this purpose, method based on Analytic Hierarchy Process is suggested to be used in the article. As a result of the method application, we receive the overall estimation of stakeholder influence on company SR. The latter permits us to decide with which stakeholders to work more actively. To conduct the calculations Expert Choice 11 computational toolkit was used.","PeriodicalId":372744,"journal":{"name":"2020 10th International Conference on Advanced Computer Information Technologies (ACIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114113078","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}

引用次数: 2

Fast Reconstruction Algorithm for Contactless Inductive Flow Tomography 非接触感应流层析成像的快速重建算法

2020 10th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2020-09-01 DOI: 10.1109/ACIT49673.2020.9208853

T. Wondrak, R. Jacobs, P. Faber

{"title":"Fast Reconstruction Algorithm for Contactless Inductive Flow Tomography","authors":"T. Wondrak, R. Jacobs, P. Faber","doi":"10.1109/ACIT49673.2020.9208853","DOIUrl":"https://doi.org/10.1109/ACIT49673.2020.9208853","url":null,"abstract":"The contactless inductive flow tomography is a measurement technique for the determination of the flow structure of an electrically conducting liquid. The procedure is based on the measurement of the magnetic field and can potentially be applied for visualisation and online-monitoring of industrial processes as, for example, continuous steel casting or the production of mono-crystalline silicon using the Czochralski crystal growth method. With the aid of the measured field values, the velocity field is reconstructed by solving a linear inverse problem that is described by a system of coupled integral equations. The frame rate of the field measurement is typically in the order of one frame per second, whereas the inversion of the integral equations usually takes about twenty times as long, since a regularisation parameter needs to be determined for each reconstruction. In order to reduce this discrepancy, a new algorithm is introduced in this article. The algorithm relies on the pre-computation of inverted matrices, so that the inversion can be determined solely by performing matrix-vector products. This technique reduces the time required for the inversion process at each reconstruction to same length of time a measurement cycle takes, i.e. about one second. The efficiency of the method will be demonstrated using a modified Rayleigh-Bénard experiment with liquid metal at room temperature.","PeriodicalId":372744,"journal":{"name":"2020 10th International Conference on Advanced Computer Information Technologies (ACIT)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116101412","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}

引用次数: 2

Analysis of the Development of Socio-Cultural Potential of Ukraine with the Application of the Apparatus of Fuzzy Logic 用模糊逻辑仪器分析乌克兰社会文化潜力的开发

2020 10th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2020-09-01 DOI: 10.1109/ACIT49673.2020.9208811

V. Pryimak, A. Hrytsaiko

引用次数: 0

SECTION 1: Mathematical Models of Objects and Processes 第1节:对象和过程的数学模型

2020 10th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2020-09-01 DOI: 10.1109/acit49673.2020.9208885

引用次数: 0

Formal Outlines of Case-Based Modelling of Data and Knowledge Sources for Drilling Control 钻井控制中基于案例的数据和知识来源建模的正式大纲

2020 10th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2020-09-01 DOI: 10.1109/ACIT49673.2020.9208941

V. Sheketa, Iurii Shcherbiak, V. Pikh, Y. Romanyshyn, M. Chesanovskyy, Miroslav Kopnický

{"title":"Formal Outlines of Case-Based Modelling of Data and Knowledge Sources for Drilling Control","authors":"V. Sheketa, Iurii Shcherbiak, V. Pikh, Y. Romanyshyn, M. Chesanovskyy, Miroslav Kopnický","doi":"10.1109/ACIT49673.2020.9208941","DOIUrl":"https://doi.org/10.1109/ACIT49673.2020.9208941","url":null,"abstract":"The proposed interpretation for the case-based notion allows to concentrate the expert’s experience in the subject area of drilling of oil and gas wells that satisfies the criteria of the main data and knowledge sources which are strictly necessary for the functioning of the case-based reasoning in general and in particular. The developed formal outlines allow implementation of different knowledge schemas, such as those that are necessary for the case-based reasoning at the stage of feedback generation, or the knowledge actualization for the support of users, required during the reviewing and preservation stages. Accordingly, the basis of the upper level cases was described by a certain set of constraints in the form of relevant sets and systems that forms a predefined hierarchy of constraints. They are the most rigorous sketch for possible representation and formation of conglomerate of constraints as a consequence of the assumption for disproportionate constraints allocation on all levels. The essence of case-based decision support procedures is disclosed.","PeriodicalId":372744,"journal":{"name":"2020 10th International Conference on Advanced Computer Information Technologies (ACIT)","volume":"246 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124713429","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}

引用次数: 0

Cybercrime in Ukraine and the Cyber Security Game 乌克兰的网络犯罪和网络安全游戏

2020 10th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2020-09-01 DOI: 10.1109/ACIT49673.2020.9208942

Svitlana Mazepa, L. Dostálek, V. Křivan, S. Banakh

引用次数: 2

Forecasting of Wind Turbine Output Power Using Machine learning 利用机器学习预测风力发电机输出功率

2020 10th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2020-09-01 DOI: 10.1109/ACIT49673.2020.9208852

H. Rashid, Waqar Haider, C. Batunlu

{"title":"Forecasting of Wind Turbine Output Power Using Machine learning","authors":"H. Rashid, Waqar Haider, C. Batunlu","doi":"10.1109/ACIT49673.2020.9208852","DOIUrl":"https://doi.org/10.1109/ACIT49673.2020.9208852","url":null,"abstract":"Most of the countries around the world are facing huge environmental impact, and the most promising solution to mitigate these is the use of renewable energy, especially wind power. Though, the use of offshore wind energy is rapidly increasing to meet the elevating electricity demand. The researchers and policymakers have become aware of the importance of providing near accurate prediction of output power. Wind energy is tied to variabilities of weather patterns, especially wind speed, which are irregular in climates with erratic weather conditions. In this paper, we predicted the output power of the wind turbines using the random forest regressor algorithm. The SCADA data is collected for two years from a wind farm located in France. The model is trained using the data from 2017. The wind direction, wind speed and outdoor temperature are used as input parameters to predict output power. We test our model for two different capacity factors. The estimated mean absolute errors for the proposed model in this study were 3.6% and 7.3% for and 0.2 capacity factors, respectively. The proposed model in this study offers an efficient method to predict the output power of wind turbine with preferably low error.","PeriodicalId":372744,"journal":{"name":"2020 10th International Conference on Advanced Computer Information Technologies (ACIT)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121999531","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}

引用次数: 9

Analysis of Deterministic Components of Biperiodically Correlated Random Signals 双周期相关随机信号的确定性分量分析

2020 10th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2020-09-01 DOI: 10.1109/ACIT49673.2020.9208948

Ihor Javorskyj, R. Yuzefovych, O. Dzeryn, M. Varyvoda

引用次数: 0

Mathematical Model for Prediction the Dynamics of Organic Traffic at E-commerce Web-site in the Process of its Search Engine optimization 电子商务网站搜索引擎优化过程中自然流量动态预测的数学模型

2020 10th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2020-09-01 DOI: 10.1109/ACIT49673.2020.9208886

I. Madiudia, Natalia Porplytsya, Maryna Nagara

引用次数: 2