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2021 16th International Conference on Electronics Computer and Computation (ICECCO)最新文献

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Application of game design elements on higher education in Computer Science 游戏设计元素在计算机科学高等教育中的应用
2021 16th International Conference on Electronics Computer and Computation (ICECCO) Pub Date : 2021-11-25 DOI: 10.1109/icecco53203.2021.9663756
Marat Urmanov, Madina Alimanova, Shyngys Adilkhan
{"title":"Application of game design elements on higher education in Computer Science","authors":"Marat Urmanov, Madina Alimanova, Shyngys Adilkhan","doi":"10.1109/icecco53203.2021.9663756","DOIUrl":"https://doi.org/10.1109/icecco53203.2021.9663756","url":null,"abstract":"This paper includes a brief explanation of Game Design and its mechanics, Gamification, and how it has been studied and used in existing research works. Existing research works were analyzed and compared with this work. Later in this paper, the attempt to integrate such game mechanics as easter eggs hunting into online distance learning of Computer science courses in higher education was demonstrated. In the end, the results of the experiment are discussed in the conclusion section, and the future work of the continuation of applying non-obligatory gamified course content is explained.","PeriodicalId":331369,"journal":{"name":"2021 16th International Conference on Electronics Computer and Computation (ICECCO)","volume":"155 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123308928","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
Using CNN Models to Identify Suspicious and Criminal Behavior - A Survey of Current Research Trends 使用CNN模型识别可疑和犯罪行为-对当前研究趋势的调查
2021 16th International Conference on Electronics Computer and Computation (ICECCO) Pub Date : 2021-11-25 DOI: 10.1109/icecco53203.2021.9663850
Zhunis Karimov, Nauryzbay Sapargali, Nazerke Manteyeva, Mels Begenov, Birzhan Moldagaliyev
{"title":"Using CNN Models to Identify Suspicious and Criminal Behavior - A Survey of Current Research Trends","authors":"Zhunis Karimov, Nauryzbay Sapargali, Nazerke Manteyeva, Mels Begenov, Birzhan Moldagaliyev","doi":"10.1109/icecco53203.2021.9663850","DOIUrl":"https://doi.org/10.1109/icecco53203.2021.9663850","url":null,"abstract":"In recent years there was significant progress in analyzing video recordings to identify criminal and suspicious behavior. Major types of machine learning architectures used in these studies are 2D and 3D Convolutional Neural Network (CNN) architecture. This article aims to review a notion of general CNN’s as well as their various modifications used for crime detection from video footage. In addition to the introduction to architectural details, this paper is focused on studying and comparing methods used in various studies on detecting criminal behavior using CNN neural architecture. Finally, the paper presents possible directions for future research in the given domain.","PeriodicalId":331369,"journal":{"name":"2021 16th International Conference on Electronics Computer and Computation (ICECCO)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123686093","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
ICECCO 2021 Author Index ICECCO 2021作者索引
2021 16th International Conference on Electronics Computer and Computation (ICECCO) Pub Date : 2021-11-25 DOI: 10.1109/icecco53203.2021.9663792
{"title":"ICECCO 2021 Author Index","authors":"","doi":"10.1109/icecco53203.2021.9663792","DOIUrl":"https://doi.org/10.1109/icecco53203.2021.9663792","url":null,"abstract":"","PeriodicalId":331369,"journal":{"name":"2021 16th International Conference on Electronics Computer and Computation (ICECCO)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123821502","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
Spatial interpolation of humidity values in the fields of East Kazakhstan agricultural experimental station 东哈萨克斯坦农业试验站农田湿度值的空间插值
2021 16th International Conference on Electronics Computer and Computation (ICECCO) Pub Date : 2021-11-25 DOI: 10.1109/icecco53203.2021.9663790
A. Nugumanova, A. Bondarovich, A. Tlebaldinova, I. Shuller, Kamila Rakhymbek, A. Maulit
{"title":"Spatial interpolation of humidity values in the fields of East Kazakhstan agricultural experimental station","authors":"A. Nugumanova, A. Bondarovich, A. Tlebaldinova, I. Shuller, Kamila Rakhymbek, A. Maulit","doi":"10.1109/icecco53203.2021.9663790","DOIUrl":"https://doi.org/10.1109/icecco53203.2021.9663790","url":null,"abstract":"Soil moisture has a major impact on the growth and development of grain crops. With a change in moisture, most of the physical or chemical properties of the soil change, which determines the need for systematic control of soil moisture in the practice of agriculture. However, soil moisture is highly variable in space and time, which makes it difficult to measure it on a field-wide scale. Spatial moisture interpolation allows to solve this problem by continuously displaying moisture indicators throughout the landscape. In this paper, we compare two methods of interpolation Nearest neighbor interpolation and Inverse distance weighted for moisture indicators obtained at the soil surface and at a depth of 1 m. Both methods showed results easy to interpret, each at its own level of detailing.","PeriodicalId":331369,"journal":{"name":"2021 16th International Conference on Electronics Computer and Computation (ICECCO)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121077863","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
ICECCO 2021 Program Committees ICECCO 2021项目委员会
2021 16th International Conference on Electronics Computer and Computation (ICECCO) Pub Date : 2021-11-25 DOI: 10.1109/icecco53203.2021.9663834
{"title":"ICECCO 2021 Program Committees","authors":"","doi":"10.1109/icecco53203.2021.9663834","DOIUrl":"https://doi.org/10.1109/icecco53203.2021.9663834","url":null,"abstract":"","PeriodicalId":331369,"journal":{"name":"2021 16th International Conference on Electronics Computer and Computation (ICECCO)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121103277","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
Machine learning techniques versus classical statistics in strength predictions of eco-friendly masonry units 机器学习技术与经典统计在环保砌体单元强度预测中的对比
2021 16th International Conference on Electronics Computer and Computation (ICECCO) Pub Date : 2021-11-25 DOI: 10.1109/icecco53203.2021.9663760
A. A. Mahamat, Moussa Mahamat Boukar
{"title":"Machine learning techniques versus classical statistics in strength predictions of eco-friendly masonry units","authors":"A. A. Mahamat, Moussa Mahamat Boukar","doi":"10.1109/icecco53203.2021.9663760","DOIUrl":"https://doi.org/10.1109/icecco53203.2021.9663760","url":null,"abstract":"Earth-based materials demonstrated promising characteristics in the development of eco-friendly, low cost and sustainable construction materials. However, their unconventional utilization in construction makes the assessment of their properties very difficult and inaccurate because they are assessed based on conventional materials procedures. Hence, the properties of earth-based materials are not well understood. The assessment of earth-based materials properties for sustainable construction is time-consuming, expensive, and inaccurate. To obtain more accurate properties, an artificial neural network and statistical linear regression analysis were used to predict the compressive strength of alkali-activated soil. Statistical linear regression analysis was carried out to compare the efficiency of the machine learning technique with the classical statistics model. Parameters such as Si/Al, activator level, curing temperature, water absorption, and weight were used as input parameters to predict the target variable. The coefficient of determination was used to examine the performance of the models. The results depict that artificial neural network outperformed statistical linear regression analysis with R2 =0.74, RMSE=0.119 and R2 =0.48, RMSE=0.466 respectively. This indicates that statistical linear regression analysis is inefficient for prediction of the strength in alkali activated soils.","PeriodicalId":331369,"journal":{"name":"2021 16th International Conference on Electronics Computer and Computation (ICECCO)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125551244","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
MBTI personality classification using Apache Spark MBTI人格分类使用Apache Spark
2021 16th International Conference on Electronics Computer and Computation (ICECCO) Pub Date : 2021-11-25 DOI: 10.1109/icecco53203.2021.9663858
K. Orynbekova, A. Talasbek, Abylay Omar, A. Bogdanchikov, S. Kadyrov
{"title":"MBTI personality classification using Apache Spark","authors":"K. Orynbekova, A. Talasbek, Abylay Omar, A. Bogdanchikov, S. Kadyrov","doi":"10.1109/icecco53203.2021.9663858","DOIUrl":"https://doi.org/10.1109/icecco53203.2021.9663858","url":null,"abstract":"Personality determines how person make decisions, speak or react on different situations. In this paper explained shortly the specifics of Myers-Briggs Type Indicator personality classification, then details of preparation of the experiment to run on Apache Spark platform. In experiment three different classification algorithms (Logistic Regression, Naive Bayes, Support Vector Machine) are used to train and predict MBTI personality pairs on a Kaggle dataset consisting of 8675 users tweets. In the end explained the data preprocessing and algorithm training, testing, validation details and results. The models with different vector combinations have been compared, and results have been described.","PeriodicalId":331369,"journal":{"name":"2021 16th International Conference on Electronics Computer and Computation (ICECCO)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114469631","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
Design of a hand rehabilitation gaming platform using IoT technologies 基于物联网技术的手部康复游戏平台设计
2021 16th International Conference on Electronics Computer and Computation (ICECCO) Pub Date : 2021-11-25 DOI: 10.1109/icecco53203.2021.9663754
Madina Alimanova, D. Kozhamzharova, Shyngys Adilkhan, Marat Urmanov, Nurlan Karimzhan
{"title":"Design of a hand rehabilitation gaming platform using IoT technologies","authors":"Madina Alimanova, D. Kozhamzharova, Shyngys Adilkhan, Marat Urmanov, Nurlan Karimzhan","doi":"10.1109/icecco53203.2021.9663754","DOIUrl":"https://doi.org/10.1109/icecco53203.2021.9663754","url":null,"abstract":"Nowadays, elements of the game can be met more often in regular processes. Education, business, marketing and many other spheres are being included with gaming elements, since games, according to conducted studies, positively affect people and make them happier. Also, games reduce stress and help to be focused on specific tasks. Today’s technologies such as virtual reality tools provide huge opportunities for developers to create projects that can be used as a key element that improves the efficiency and results of certain processes.This article presents a gaming platform for hand rehabilitation, which includes the use of a Leap Motion controller in conjunction with an Arduino-based robotic arm. The main idea of gamification of hand rehabilitation is to help improve the accuracy of gestures, coordination, and also restore the functionality of the hands using the capabilities of Leap Motion and Arduino.","PeriodicalId":331369,"journal":{"name":"2021 16th International Conference on Electronics Computer and Computation (ICECCO)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133641651","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
What Factors at School Influence Student Academic Performance at University 学校的哪些因素影响学生在大学的学习成绩
2021 16th International Conference on Electronics Computer and Computation (ICECCO) Pub Date : 2021-11-25 DOI: 10.1109/icecco53203.2021.9663856
N. Ibragimov, Asmina Barkhandinova, Nurzat Shayakhmetov, Aruzhan Akkoziyeva, Sultanmakhmud Bazarbayev, Zhandos Tangatar
{"title":"What Factors at School Influence Student Academic Performance at University","authors":"N. Ibragimov, Asmina Barkhandinova, Nurzat Shayakhmetov, Aruzhan Akkoziyeva, Sultanmakhmud Bazarbayev, Zhandos Tangatar","doi":"10.1109/icecco53203.2021.9663856","DOIUrl":"https://doi.org/10.1109/icecco53203.2021.9663856","url":null,"abstract":"This research demonstrates the use of some statistical tests popular in Data Science applied in Social Sciences. The usage is shown on the case of investigation of what factors might affect students’ performance. Most recent studies focus mostly on short-term results such as performance in high school. This paper examines these factors in the long-term run, taking the factors in schools that might affect a person in the future university. Analytical approach is used to derive most significant factors. The results approve and disapprove some stereotypes that were present before the research. The derived factors give motivation for further investigation of educational success.","PeriodicalId":331369,"journal":{"name":"2021 16th International Conference on Electronics Computer and Computation (ICECCO)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126409092","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
MAS agents development for mining industry MAS代理矿业开发
2021 16th International Conference on Electronics Computer and Computation (ICECCO) Pub Date : 2021-11-25 DOI: 10.1109/icecco53203.2021.9663861
A. Kuandykov, D. Kozhamzharova, Nurlan Karimzhan, M. Aitimov
{"title":"MAS agents development for mining industry","authors":"A. Kuandykov, D. Kozhamzharova, Nurlan Karimzhan, M. Aitimov","doi":"10.1109/icecco53203.2021.9663861","DOIUrl":"https://doi.org/10.1109/icecco53203.2021.9663861","url":null,"abstract":"The essence of multi-agent technology is a fundamentally new method of solving problems. In contrast to the classical method, when a search is carried out a well-defined (deterministic) algorithm, which allows find the best solution to the problem in multi-technology solution is obtained automatically as a result of the interaction of many self-parking enforcement targeted software modules - the so-called software agents ants. Often classical methods for solving problems are not applicable in real life. There are various fields where MAS could be implemented, for the research of this paper the mining industry where taken.This paper explains MAS, its classification, shows the possibility of use of agent modeling in real industry. The article describes the steps of the development of agents, and the testing of them on a build-up layout of quarry and on working prototypes of the dumper and excavator robots.","PeriodicalId":331369,"journal":{"name":"2021 16th International Conference on Electronics Computer and Computation (ICECCO)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123571175","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
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