Problems of Information Society最新文献_第4页

DEVELOPMENT OF A REAL-TIME SPEECH RECOGNITION SYSTEM FOR THE AZERBAIJANI LANGUAGE 开发阿塞拜疆语实时语音识别系统

Problems of Information Society Pub Date : 2023-07-05 DOI: 10.25045/jpis.v14.i2.07

Alakbar Valizada

{"title":"DEVELOPMENT OF A REAL-TIME SPEECH RECOGNITION SYSTEM FOR THE AZERBAIJANI LANGUAGE","authors":"Alakbar Valizada","doi":"10.25045/jpis.v14.i2.07","DOIUrl":"https://doi.org/10.25045/jpis.v14.i2.07","url":null,"abstract":"This paper investigates the development of a real-time automatic speech recognition system dedicated to the Azerbaijani language, focusing on addressing the prevalent gap in speech recognition system for underrepresented languages. Our research integrates a hybrid acoustic modeling approach that combines Hidden Markov Model and Deep Neural Network to interpret the complexities of Azerbaijani acoustic patterns effectively. Recognizing the agglutinative nature of Azerbaijani, the ASR system employs a syllable-based n-gram model for language modeling, ensuring the system accurately captures the syntax and semantics of Azerbaijani speech. To enable real-time capabilities, we incorporate WebSocket technology, which facilitates efficient bidirectional communication between the client and server, necessary for processing streaming speech data instantly. The Kaldi and SRILM toolkits are used for the training of acoustic and language models, respectively, contributing to the system's robust performance and adaptability. We have conducted comprehensive experiments to test the effectiveness of our system, the results of which strongly corroborate the utility of the syllable-based subword modeling approach for Azerbaijani language recognition. Our proposed ASR system shows superior performance in terms of recognition accuracy and rapid response times, outperforming other systems tested on the same language data. The system's success not only proves beneficial for Azerbaijani language recognition but also provides a valuable framework for potential future applications in other agglutinative languages, thereby contributing to the promotion of linguistic diversity in automatic speech recognition technology.","PeriodicalId":306024,"journal":{"name":"Problems of Information Society","volume":"256 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115868230","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

CUSTOMER BEHAVIOR ANALYSIS USING BIG DATA ANALYTICS AND MACHINE LEARNING 使用大数据分析和机器学习进行客户行为分析

Problems of Information Society Pub Date : 2023-07-05 DOI: 10.25045/jpis.v14.i2.08

L. Muradkhanli, Zaman Karimov

{"title":"CUSTOMER BEHAVIOR ANALYSIS USING BIG DATA ANALYTICS AND MACHINE LEARNING","authors":"L. Muradkhanli, Zaman Karimov","doi":"10.25045/jpis.v14.i2.08","DOIUrl":"https://doi.org/10.25045/jpis.v14.i2.08","url":null,"abstract":"This paper delves into the utilization of big data analytics and Machine Learning (ML) in the realm of customer behavior analysis for digital marketing. It explores the practical application of ML algorithms and the ML pipeline in the development of predictive models. The primary objectives revolve around forecasting customer churn, identifying prospects with a high propensity to convert, determining optimal communication channels, and leveraging sentiment analysis to enhance the overall customer experience. Concrete real-world examples and compelling case studies are employed to illustrate the efficacy of ML in analyzing customer behavior. Moreover, the paper acknowledges the existing limitations and challenges in this domain, while also outlining potential directions for future research. By offering a comprehensive guide, the aim is to empower businesses with the knowledge and tools needed to effectively leverage big data analytics and ML for customer behavior analysis in the digital marketing landscape. The paper concludes by addressing limitations, challenges, and future research directions in this field, aiming to provide a comprehensive guide to leveraging big data analytics and ML for customer behavior analysis.","PeriodicalId":306024,"journal":{"name":"Problems of Information Society","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126285894","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

INTEGRATED APPROACH TO THE DEVELOPMENT OF THE TRANSPORT SYSTEM IN THE URBAN AGGLOMERATION OF BAKU USING DIGITAL TECHNOLOGIES 利用数字技术发展巴库城市群交通系统的综合方法

Problems of Information Society Pub Date : 2023-07-05 DOI: 10.25045/jpis.v14.i2.04

Elchin Aliyev, I. Ahmadov, Asgar Almasov, Emil Ahmadov

引用次数: 0

COMPARISON OF SIGNAL RECOGNITION METHODS BY COMBINED USE OF APPROPRIATE EVALUATION CRITERIA WITHIN THE ADDITIVE CONVOLUTION 信号识别方法的比较，结合使用适当的评价标准内加性卷积

Problems of Information Society Pub Date : 2023-07-05 DOI: 10.25045/jpis.v14.i2.03

R. Rzayev, A. Kerimov

引用次数: 0

FORMATION OF A DIGITAL CIRCULAR ECONOMY ON THE INDUSTRY 4.0 PLATFORM 形成工业4.0平台下的数字循环经济

Problems of Information Society Pub Date : 2023-07-05 DOI: 10.25045/jpis.v14.i2.01

A. Aliyev, R. Shahverdiyeva

{"title":"FORMATION OF A DIGITAL CIRCULAR ECONOMY ON THE INDUSTRY 4.0 PLATFORM","authors":"A. Aliyev, R. Shahverdiyeva","doi":"10.25045/jpis.v14.i2.01","DOIUrl":"https://doi.org/10.25045/jpis.v14.i2.01","url":null,"abstract":"This article analyzes a circular economy, its digitization features and development models. It interprets the digitalization of the circular economy in the context of green development concepts. The article shows the importance of increasing resource efficiency and stimulating the use of renewable resources in the transition process of enterprises to the green and circular economy. The importance of reducing waste generation through prevention, reduction, recycling and reuse, and production is emphasized. The international experience on the development of the digital circular economy, various scientific trends and relevant related studies are analyzed. The structure of the integration of digital technologies into the circular economy is built. The introduction of new ICT technologies into the development of circular economy, such as the Internet of Things, machine learning, deep analytics, 3D printing, blockchain, etc. are explored. The integration model of Industry 4.0 and digital circular economy is schematically developed. The main structural elements of the digital circular economy with circular Industry 4.0 are presented. The article also studies the structural elements of the circular economy, such a business models, digital transformation, lifecycle management, resource efficiency, smart services, supply chain management, etc. It explores the ways to increase the sustainability of the digital circular economy through digital transformation technologies. In this regard, relevant proposals and recommendations are made, taking into account the technological requirements and priorities for the further development of the Industry 4.0 platform elements.","PeriodicalId":306024,"journal":{"name":"Problems of Information Society","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122689251","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

FORMATION OF LINGUISTIC DEMOGRAPHY ON THE NATIONAL E-GOVERNMENT PLATFORM: PROBLEMS AND THEIR SOLUTIONS 国家电子政务平台上语言人口的形成:问题与对策

Problems of Information Society Pub Date : 2023-07-05 DOI: 10.25045/jpis.v14.i2.09

G. Nabibayova

{"title":"FORMATION OF LINGUISTIC DEMOGRAPHY ON THE NATIONAL E-GOVERNMENT PLATFORM: PROBLEMS AND THEIR SOLUTIONS","authors":"G. Nabibayova","doi":"10.25045/jpis.v14.i2.09","DOIUrl":"https://doi.org/10.25045/jpis.v14.i2.09","url":null,"abstract":"The advancing of information and communication technologies has contributed to their introduction into almost all areas of human activity, as well as the field of demography. The advent of such a field as electronic demography has become a precondition for the improvement of an electronic demographic system on the e-government platform. Demography is a multidisciplinary field of science, and along with other areas, it also includes linguistic demography. Therefore, in the electronic demographic system, along with other segments, there is a segment of linguistic demography. Each area in the data warehouse (DW) of the electronic demographic system has its own data mart (DM). This article highlights several complications in the formation of DM of linguistic demography. These complications are linked to the fact that linguists-researchers offer several approaches to the definitions of the notions of “language” and “dialect”. Moreover, when establishing a language indicator in a country, one of its three options can be approved - as a native language, as a language of everyday communication or as a language of use. In this regard, certain difficulties arise in the establishment of a segment of linguistic demography in the electronic demographic system. This article shows the complications of establishing linguistic demography and presents certain proposals for their solution.","PeriodicalId":306024,"journal":{"name":"Problems of Information Society","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123444563","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 A SYSTEM WITH SOLAR CONCENTRATORS AND THERMAL ENERGY STORAGE 模拟一个具有太阳能聚光器和热能储存的系统

Problems of Information Society Pub Date : 2023-07-05 DOI: 10.25045/jpis.v14.i2.02

E. Kussul, Tetyana Baydyk, Airam Curtidor, G. Herrera

{"title":"MODELING A SYSTEM WITH SOLAR CONCENTRATORS AND THERMAL ENERGY STORAGE","authors":"E. Kussul, Tetyana Baydyk, Airam Curtidor, G. Herrera","doi":"10.25045/jpis.v14.i2.02","DOIUrl":"https://doi.org/10.25045/jpis.v14.i2.02","url":null,"abstract":"Global climate change, which has upset the ecological balance, and the rate of population growth, causing an increase in the demand for electricity in the world, are accelerating the gradual transition of states to green energy. Energy generation and energy storage are two important elements in green energy systems. We select parabolic solar concentrators as instrument for energy generation and develop flat facet solar concentrators that approximate a parabolic shape surface. Not only the structure of solar concentrators is proposed, but also the structure of thermal energy storage is described and presented. Using our solar concentrators, small-scale thermal energy storage (TES), it is possible to make power plants for green buildings. Small solar power plants and the air dehumidification system based on solar concentrators have great practical potential, can provide all the energy needs of smart residential buildings in countries with a hot climate, regulate air humidity, improve agricultural productivity in mountainous areas, etc. We describe a small-scale TES and the heater based on a solar concentrator. Water can be used to transfer heat energy. Another variant of TES is based on grave. We describe not only the structure of the system with parabolic solar concentrator and TES but calculate their parameters.","PeriodicalId":306024,"journal":{"name":"Problems of Information Society","volume":"116 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120921903","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

CYBERSECURITY ANALYSIS OF INDUSTRIAL CONTROL SYSTEMS 工业控制系统网络安全分析

Problems of Information Society Pub Date : 2023-07-05 DOI: 10.25045/jpis.v14.i2.06

R. Shikhaliyev

引用次数: 0

FACE SPOOF DETECTION USING CONVOLUTIONAL NEURAL NETWORK 基于卷积神经网络的人脸欺骗检测

Problems of Information Society Pub Date : 2023-07-05 DOI: 10.25045/jpis.v14.i2.05

L. Muradkhanli, Parviz Namazli

{"title":"FACE SPOOF DETECTION USING CONVOLUTIONAL NEURAL NETWORK","authors":"L. Muradkhanli, Parviz Namazli","doi":"10.25045/jpis.v14.i2.05","DOIUrl":"https://doi.org/10.25045/jpis.v14.i2.05","url":null,"abstract":"The paper suggests a technique that uses convolutional neural network (CNN) to identify fraudulent facial manipulation. The proposed method comprises teaching an intricate neural network using a comprehensive compilation of genuine and fake facial images. The structure of CNN includes several layers of convolution and pooling, which enable it to identify distinguishing features in the input images. Following its training, the model is employed to differentiate a presented facial image into either authentic or fraudulent. To determine the efficacy of the proposed technique, a standardized data set for identifying counterfeit or altered facial attributes was used. The suggested method presents various benefits compared to current techniques for detecting face spoofing. To start with, utilizing a deep CNN empowers the model to acquire complex and discerning characteristics from the input images, thus augmenting the precision of the categorization mission. Additionally, the suggested method is effective in terms of computational requirements, enabling its utilization in real-time scenarios. The proposed methodology is able to withstand a range of fraudulent tactics used on facial recognition systems, such as print and replay attacks. The findings from this study aid in the progression of face recognition technology by enhancing the accuracy and dependability of fraud detection systems. These improved systems have practical applications in security measures, biometric identification, and digital criminal investigations. The suggested method could substantially enhance the dependability and safety of facial recognition systems, consequently boosting their functional value and credibility.","PeriodicalId":306024,"journal":{"name":"Problems of Information Society","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130876427","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

ELECTRONIC EDUCATIONAL CONTENT FORMATION WITH THE APPLICATION OF CLOUD TECHNOLOGIES 应用云技术形成电子教育内容

Problems of Information Society Pub Date : 2023-07-05 DOI: 10.25045/jpis.v14.i2.10

F. Aghayev, G. Mammadova, Esmira Alasgarova

{"title":"ELECTRONIC EDUCATIONAL CONTENT FORMATION WITH THE APPLICATION OF CLOUD TECHNOLOGIES","authors":"F. Aghayev, G. Mammadova, Esmira Alasgarova","doi":"10.25045/jpis.v14.i2.10","DOIUrl":"https://doi.org/10.25045/jpis.v14.i2.10","url":null,"abstract":"Many experts and scientists focus on cloud computing, mobile Internet technologies, and the rapid development of the Internet of Things in the field of e-learning which caused innovation and revolution. The development of the capabilities of cloud technologies has been applied to solve problems in various fields of human activity, including the educational process. Cloud technologies enable students to actively participate in the preparation of educational content, modify learning methods, increase access to information resources (external memory, applications, educational materials, etc.). Clouds unify physical or virtualized resources in data centers and require less software and hardware. The goal of this research is to expand and use the possibilities of applying cloud technologies in the teaching process in higher education institutions. As a result of the conducted research, we determine didactic and information opportunities by using cloud services in the educational process. This article reviews scientific research conducted in the field of data mining and cloud technologies in the formation of educational content during the last decade. Moreover, the methods of solving educational content management problems are proposed using data mining methods.","PeriodicalId":306024,"journal":{"name":"Problems of Information Society","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133351079","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