2017 XX IEEE International Conference on Soft Computing and Measurements (SCM)最新文献_第8页

Structurization of intellectual capital risks in the conditions of labor market integration and globalization 劳动力市场一体化和全球化条件下智力资本风险的结构化

2017 XX IEEE International Conference on Soft Computing and Measurements (SCM) Pub Date : 2017-05-01 DOI: 10.1109/SCM.2017.7970729

E. Vetrova, G. R. Khakimova, N. Tihomirov, M. Diasamidze

{"title":"Structurization of intellectual capital risks in the conditions of labor market integration and globalization","authors":"E. Vetrova, G. R. Khakimova, N. Tihomirov, M. Diasamidze","doi":"10.1109/SCM.2017.7970729","DOIUrl":"https://doi.org/10.1109/SCM.2017.7970729","url":null,"abstract":"Object: A study of methodological approaches to risk management of intellectual capital under the in-fluence of contemporary processes of globalization and integration in the labor markets, and intellectual capital. Methods: The paper analyzes the influence of the intensified regionalization processes on the labor market of individual states on the company's intellectual capital. The authors concluded that the process of structuring risks of intellectual capital allows us to identify risks that lead to critical damage, which, in the current globalization, integration and partial regionalization processes, is relevant for all enterprises. Findings: The paper proposes a multi-level procedure for structuring risks of intellectual capital based on analysis of the external and internal environment, chosen strategies and strategic orientations of the company. Conclusions: Having developed the procedure for managing intellectual capital in general and the impact on its risks, in particular, the company can control the level of production and service intellectualization.","PeriodicalId":315574,"journal":{"name":"2017 XX IEEE International Conference on Soft Computing and Measurements (SCM)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115805104","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

Modeling of measuring systems based on programmable debugging circuits Arduino 基于Arduino可编程调试电路的测量系统建模

2017 XX IEEE International Conference on Soft Computing and Measurements (SCM) Pub Date : 2017-05-01 DOI: 10.1109/SCM.2017.7970636

A. S. Tikhonenkov, A. Peresypkin, A. S. Toporskaya, E. S. Suloeva

引用次数: 1

On certain trends of world economy's development 论世界经济发展的若干趋势

2017 XX IEEE International Conference on Soft Computing and Measurements (SCM) Pub Date : 2017-05-01 DOI: 10.1109/SCM.2017.7970734

Y. Ichkitidze

引用次数: 1

Power supply for electronic gadjets based on thermoelectric effect 基于热电效应的电子喷嘴电源

2017 XX IEEE International Conference on Soft Computing and Measurements (SCM) Pub Date : 2017-05-01 DOI: 10.1109/SCM.2017.7970569

V. Konovalova, R. M. Shamsutdinov

引用次数: 0

Speech/pause detection algorithm based on the adaptive method of complementary decomposition and energy assessment of intrinsic mode functions 基于互补分解自适应方法和内禀模态函数能量评估的语音/暂停检测算法

2017 XX IEEE International Conference on Soft Computing and Measurements (SCM) Pub Date : 2017-05-01 DOI: 10.1109/SCM.2017.7970665

A. Alimuradov, A. Tychkov, A. Ageykin, P. Churakov, Yury S. Kvitka, A. Zaretskiy

{"title":"Speech/pause detection algorithm based on the adaptive method of complementary decomposition and energy assessment of intrinsic mode functions","authors":"A. Alimuradov, A. Tychkov, A. Ageykin, P. Churakov, Yury S. Kvitka, A. Zaretskiy","doi":"10.1109/SCM.2017.7970665","DOIUrl":"https://doi.org/10.1109/SCM.2017.7970665","url":null,"abstract":"Speech/pause detection is one of the important tasks in processing. Its effectiveness depends on the accuracy of measuring amplitude, time, frequency and energy characteristics of speech signals. The main reason for large errors in measurements is due to the use of non-adaptive processing methods. The goal is to develop an algorithm for effective speech/pause detection on the basis of the adaptive method of complementary ensemble empirical mode decomposition (CEEMD). The algorithm is implemented using the adaptive processing method of CEEMD. The adaptability of methods lies in the fact that the basic functions used in the decomposition are extracted from the original speech signal, and allow us to take into account only its inherent features (hidden modulation, energy concentration regions, etc.). To carry out the research of the developed algorithm, a software package for mathematical modeling MATLAB was used. A speech/pause detection algorithm is developed on the basis of the adaptive method of complementary decomposition and energy estimation of empirical modes. A block diagram for the algorithm with a detailed mathematical description is presented. The advantages of the developed algorithm over the known analogs that have gained a wide practical popularity are indicated (STE + ZCR, IE and MFCC). The developed algorithm provides an increase in the correct detection rate of speech/pause by an average of 6%. Comparison of research results with analogs suggests that the developed algorithm is recommended for practical use in voice control systems (VCS).","PeriodicalId":315574,"journal":{"name":"2017 XX IEEE International Conference on Soft Computing and Measurements (SCM)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115488033","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: 6

Soft estimates of the ability level of a testee 对被测试者能力水平的软估计

2017 XX IEEE International Conference on Soft Computing and Measurements (SCM) Pub Date : 2017-05-01 DOI: 10.1109/SCM.2017.7970664

M. Lutsenko

引用次数: 1

Mathematical models and the effectiveness of functioning of scalable distributed computer systems with group and full restorations 具有组恢复和完全恢复的可扩展分布式计算机系统的数学模型和功能有效性

2017 XX IEEE International Conference on Soft Computing and Measurements (SCM) Pub Date : 2017-05-01 DOI: 10.1109/SCM.2017.7970628

V. Pavsky, K. Pavsky, A. Paznikov, M. Kupriyanov

引用次数: 1

Application of the matrix aggregate calculator (MAC) for forecasting disease recommendations 矩阵聚合计算器(MAC)在疾病推荐预测中的应用

2017 XX IEEE International Conference on Soft Computing and Measurements (SCM) Pub Date : 2017-05-01 DOI: 10.1109/SCM.2017.7970689

Z. Abdoulaeva, D. F. Kurbanbaeva, M. Topuzov

引用次数: 5

Analysis of computer security incidents using fuzzy logic 用模糊逻辑分析计算机安全事件

2017 XX IEEE International Conference on Soft Computing and Measurements (SCM) Pub Date : 2017-05-01 DOI: 10.1109/SCM.2017.7970587

E. Vorobiev, S. Petrenko, I. Kovaleva, I. K. Abrosimov

引用次数: 11

Architecture of a network-centric vital space aromosecurity monitoring system 以网络为中心的重要空间芳香安全监控系统架构

2017 XX IEEE International Conference on Soft Computing and Measurements (SCM) Pub Date : 2017-05-01 DOI: 10.1109/SCM.2017.7970677

D. S. Bystryakov, M. Kolbanev, V. Tsehanovsky

引用次数: 0