2021 IEEE International Conference on Smart Information Systems and Technologies (SIST)最新文献_第6页

Development of a Mockup of a Mobile Radio-Controlled Swimming Apparatus for Environmental Monitoring 一种用于环境监测的移动无线电控制游泳装置模型的研制

2021 IEEE International Conference on Smart Information Systems and Technologies (SIST) Pub Date : 2021-04-28 DOI: 10.1109/SIST50301.2021.9465894

M. Zhartybayeva, Adilkhan Ibragim, Z. Oralbekova, Nurzhan Muntayev

引用次数: 0

Transforming Conferences to an Online Format: Framework and Practices 将会议转变为在线形式:框架和实践

2021 IEEE International Conference on Smart Information Systems and Technologies (SIST) Pub Date : 2021-04-28 DOI: 10.1109/SIST50301.2021.9465947

Nargiza Mikhridinova, Anna Badasian, Areej Aldaghamin, Carsten Wolff

{"title":"Transforming Conferences to an Online Format: Framework and Practices","authors":"Nargiza Mikhridinova, Anna Badasian, Areej Aldaghamin, Carsten Wolff","doi":"10.1109/SIST50301.2021.9465947","DOIUrl":"https://doi.org/10.1109/SIST50301.2021.9465947","url":null,"abstract":"End of March 2020 Statista reported on the impact of COVID-19 pandemic on formats of conferences, where only 35% of selected conferences moved to an online format, whereas 32% were either cancelled or postponed [1]. As conferences of any type aim at networking and knowledge exchange, cancellation or postponement of such events harm a collaboration among possible conference participants. An online format of conferences is not a new sensation but due to COVID-19 pandemic restrictions this becomes an emerging trend and must-have element in academia. Thus, in this paper best practices and success factors on online conferences development will be considered, based on which an agile framework of conference transformation will be proposed. The framework was further tested on two conferences organized by a German Higher Education Institution and a Chapter of the IEEE Society, and validated through surveys. Currently this framework is continuously used by the authors. Based on a positive feedback from last conferences, the framework could be further adopted by conference organisers, who may lack experience and resources in online events organisation.","PeriodicalId":318915,"journal":{"name":"2021 IEEE International Conference on Smart Information Systems and Technologies (SIST)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130730087","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: 1

Modeling Leadership for developing information technologies based on Agile methodology 基于敏捷方法的信息技术开发领导力建模

2021 IEEE International Conference on Smart Information Systems and Technologies (SIST) Pub Date : 2021-04-28 DOI: 10.1109/SIST50301.2021.9465910

S. Bushuyev, N. Bushuyeva, D. Bushuiev, I. Babayev, J. Babayev

{"title":"Modeling Leadership for developing information technologies based on Agile methodology","authors":"S. Bushuyev, N. Bushuyeva, D. Bushuiev, I. Babayev, J. Babayev","doi":"10.1109/SIST50301.2021.9465910","DOIUrl":"https://doi.org/10.1109/SIST50301.2021.9465910","url":null,"abstract":"Global processes and their trends that occur in various fields of knowledge with a significant acceleration affect the development of information technology and project management competencies, programs, and project portfolios. Global trends shaping the environment of projects and programs are associated with global acceleration, digitalization, the development of blockchain, cloud and fog technologies, the active introduction of smart systems, the transition from \"rational economy\" to \"behavioral economy\". The convergence of these trends creates a new platform for the effective application of existing methodologies, knowledge systems, and competencies of project managers. The foundation of environmental change lies in changing paradigms to flexible models of Agile project life cycles, decision-making in conditions of uncertainty based on data mining from rational to irrational. The article investigates modern information models that change the systems of competencies of project managers, approximate models, and methods of decision making. The patterns of behavior of project managers in creating a project product and project management are studied. The patterns allowed the authors to identify bottlenecks in the application of Agile project management methodologies in the convergence of trend information models and technologies.","PeriodicalId":318915,"journal":{"name":"2021 IEEE International Conference on Smart Information Systems and Technologies (SIST)","volume":"46 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133890784","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: 4

Digital Education Ecosystem (DEE) for a Virtual Master School 虚拟硕士学校的数字教育生态系统(DEE

2021 IEEE International Conference on Smart Information Systems and Technologies (SIST) Pub Date : 2021-04-28 DOI: 10.1109/SIST50301.2021.9465914

Carsten Wolff, Christian Reimann, E. Mikhaylova, Areej Aldaghamin, Sascha Pampus, Ekaterina Hermann

{"title":"Digital Education Ecosystem (DEE) for a Virtual Master School","authors":"Carsten Wolff, Christian Reimann, E. Mikhaylova, Areej Aldaghamin, Sascha Pampus, Ekaterina Hermann","doi":"10.1109/SIST50301.2021.9465914","DOIUrl":"https://doi.org/10.1109/SIST50301.2021.9465914","url":null,"abstract":"Master Schools are an organizational pattern for systems of interlinked Master’s programmes which can be run by different higher education institution (HEI), even in different countries. Such Master Schools focus on a specific topic which couldn’t be addressed sufficiently by one Master’s programme or one HEI – both in terms of capacity and in terms of competence. Joining forces in a Master School gives the HEIs the chance to build an attractive educational portfolio which comes along with a special learning experience – interdisciplinary, intercultural and international. This paper is based on the case study of a cross-border Master School which is experiencing the digital transformation. Digital tools and methods provide the chance to integrate the Master School even deeper and to open up the learning and teaching experience to more people. One – already ongoing - aspect is the digital transformation, support and augmentation of the existing international exchange concept. Nevertheless, a comprehensive digital transformation of the content, delivery and community has to go goes beyond this. It transforms the way competences are delivered and received. To support this, the Master School is put on the new base of a fully digital ecosystem – this contribution calls it a Digital Education Ecosystem (DEE). This includes a cross-border IT infrastructure, but also new didactic formats, new ways of content and knowledge production, and finally new virtual student journeys and new, individualized processes of competence development. The paper aims at developing the structure, taxonomy and nomenclature of the DEE by describing the concepts implemented in the case study.","PeriodicalId":318915,"journal":{"name":"2021 IEEE International Conference on Smart Information Systems and Technologies (SIST)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132767694","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

News Popularity Prediction Using Topic Modelling 基于主题建模的新闻流行度预测

2021 IEEE International Conference on Smart Information Systems and Technologies (SIST) Pub Date : 2021-04-28 DOI: 10.1109/SIST50301.2021.9465884

K. Yakunin, S. Murzakhmetov, R. Musabayev, R. Mukhamediyev

引用次数: 2

Launching the Digital Learning Portal for Primary School Teacher Training 启动小学教师培训数字化学习门户

2021 IEEE International Conference on Smart Information Systems and Technologies (SIST) Pub Date : 2021-04-28 DOI: 10.1109/SIST50301.2021.9465882

L. Havrilova, O. Beskorsa, O. Ishutina

引用次数: 1

Application of GMTSAR and ESA SNAP Software to Determine Earthquake Epicenter Coordinate Using Sentinel-1A/B Radar Remote Sensing Data GMTSAR和ESA SNAP软件在Sentinel-1A/B雷达遥感数据确定震中坐标中的应用

2021 IEEE International Conference on Smart Information Systems and Technologies (SIST) Pub Date : 2021-04-28 DOI: 10.1109/SIST50301.2021.9465906

Akhmadiya Asset, Moldamurat Khuralay, Nabiyev Nabi, Kismanova Aigerim

{"title":"Application of GMTSAR and ESA SNAP Software to Determine Earthquake Epicenter Coordinate Using Sentinel-1A/B Radar Remote Sensing Data","authors":"Akhmadiya Asset, Moldamurat Khuralay, Nabiyev Nabi, Kismanova Aigerim","doi":"10.1109/SIST50301.2021.9465906","DOIUrl":"https://doi.org/10.1109/SIST50301.2021.9465906","url":null,"abstract":"This article has described the technology of determining earthquake epicenter with radar remote sensing on the example of Sentinel-1A/B using free available GMTSAR package and ESA SNAP software, unlike other commercial software. The combined use of the ESA SNAP and GMTSAR programs makes it possible to process data faster with minimal cost for geophysicists to determine earthquake epicenter coordinates and zones. Coordinates of Earthquake epicenters were found according to displacement via its maximum value. Displacement of the Earth's crust was obtained by processing in the GMTSAR package. ESA SNAP software was exploited for visualization and determination of exact coordinates. Two earthquakes that occurred in 2020 were studied first time to determine the accuracy of finding epicenter coordinates with ascending and descending orbits. These earthquakes occurred in Western Xizang, China, and Doganyol, Turkey. The maximum deviation from the officially registered epicenter coordinates was 16.3 km for Doganyol and 3.2 km for the Western Xizang earthquake. The negative displacement was 90 mm for Doganyol and 50 mm for Western Xizang, which is proportional magnitude M6.7 and M6.3.","PeriodicalId":318915,"journal":{"name":"2021 IEEE International Conference on Smart Information Systems and Technologies (SIST)","volume":"47 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134260776","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: 1

Academic - Industry Partnership: Development IT Sector in Kazakhstan 学术与产业合作:发展哈萨克斯坦的资讯科技业

2021 IEEE International Conference on Smart Information Systems and Technologies (SIST) Pub Date : 2021-04-28 DOI: 10.1109/SIST50301.2021.9465937

Kamshat Asmaganbetova, Nazgul Yeleussizova, Alan Swindell CEng MIChemE, Aidiye Aidarbekov, Abzal E. Kyzyrkanov, Diana Burissova

{"title":"Academic - Industry Partnership: Development IT Sector in Kazakhstan","authors":"Kamshat Asmaganbetova, Nazgul Yeleussizova, Alan Swindell CEng MIChemE, Aidiye Aidarbekov, Abzal E. Kyzyrkanov, Diana Burissova","doi":"10.1109/SIST50301.2021.9465937","DOIUrl":"https://doi.org/10.1109/SIST50301.2021.9465937","url":null,"abstract":"This paper provides grounds for serious concern with regard to the need for a new interaction model between academic and industry based on statistical data. Collecting analytical data on the current situation in research and academic potential enabled the formation of our view as to the need for changing the model of interaction between Kazakhstani universities and industry. This work reveals weak points and allows for focusing attention on developing communication between key actors, suggesting a new model, which would meet modern requirements. The goal of this article can be attained by a comprehensive analysis of existing data, synthesis of adequate knowledge on research interaction between universities and industrial sector; analysis of the need for collaboration, key barriers and interaction frameworks with the aim to provide suggestions which would facilitate cooperation and identify the most effective patterns of partnership. Further, the study also seeks to become aware of reasons so one can make certain sustainable collaborations between both aspects. Implications of the findings will be used to purpose at facilitating more university and industry partnerships in the future. Overall, this paper identifies a new model of an Academic-Industry interaction aimed at fostering industrial science and technology in the sphere of Kazakhstani IT sector.","PeriodicalId":318915,"journal":{"name":"2021 IEEE International Conference on Smart Information Systems and Technologies (SIST)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123475189","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

Predictive Model for the Impact of Online Exams on the Final Semester Grade 网络考试对期末成绩影响的预测模型

2021 IEEE International Conference on Smart Information Systems and Technologies (SIST) Pub Date : 2021-04-28 DOI: 10.1109/SIST50301.2021.9465913

Mohamed Mutasim Elkir Alsadig

引用次数: 0

Qualitative Evaluation of Face Embeddings Extracted From well-known Face Recognition Models 从知名人脸识别模型中提取的人脸嵌入的定性评价

2021 IEEE International Conference on Smart Information Systems and Technologies (SIST) Pub Date : 2021-04-28 DOI: 10.1109/SIST50301.2021.9465952

Rassul Tolegenov, K. Bostanbekov, D. Nurseitov, Kuanysh Slyamkhan

{"title":"Qualitative Evaluation of Face Embeddings Extracted From well-known Face Recognition Models","authors":"Rassul Tolegenov, K. Bostanbekov, D. Nurseitov, Kuanysh Slyamkhan","doi":"10.1109/SIST50301.2021.9465952","DOIUrl":"https://doi.org/10.1109/SIST50301.2021.9465952","url":null,"abstract":"This paper demonstrates a qualitative evaluation/comparison of face embeddings extracted from deep learning models, such as VGG-Face, Dlib, and OpenFace, on a face discrimination task. While conducting experiments, each of linear SVM (support vector machine) classifier, Euclidean distance, and Cosine distance algorithms was utilized to compare/analyze face vectors (embeddings) extracted from those 3 deep learning models. This resulted in 9 overall combinations of face recognition techniques to be compared. To implement a fair comparison of these 9 combinations, first, training and test datasets were gathered; these datasets were made up of complete frontal and well-cropped (NxN sized) face images of 33 persons (mostly Asian), with at least 10 different face images for each person. Then, face images in the training dataset were introduced into deep learning models to extract face vectors from them. Next, these face vectors were stored in a local directory as a reference database (to be used with Euclidean and Cosine distance methods) and were used to train SVM classifier. Subsequently, these face vectors were utilized to classify (recognize) face images (vectors) from the test dataset. As experiments proved, the best face recognition technique amongst 9 combinations was Dlib based face recognition model (with SVM classifier combined) as it showed the highest rate to distinguish people from each other.Although, this research work does not bring novelty to the domain, it took an effort to evaluate/compare well-known deep face models performances on Asian faces (mostly) and choose the best one to utilize as a basis for door access control application.","PeriodicalId":318915,"journal":{"name":"2021 IEEE International Conference on Smart Information Systems and Technologies (SIST)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130377046","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: 1