Proceedings of the 6th International Conference on Engineering & MIS 2020最新文献_第6页

Overview of the method for choosing the most suitable database system according to certain criteria 概述了根据一定的标准选择最合适的数据库系统的方法

Proceedings of the 6th International Conference on Engineering & MIS 2020 Pub Date : 2020-09-14 DOI: 10.1145/3410352.3410788

Dias Yertay

引用次数: 0

Development of an automated expert system for diagnosing diseases of internal organs 内部器官疾病自动诊断专家系统的开发

Proceedings of the 6th International Conference on Engineering & MIS 2020 Pub Date : 2020-09-14 DOI: 10.1145/3410352.3410759

A. Myrzakerimova, M. Nurmaganbetova

{"title":"Development of an automated expert system for diagnosing diseases of internal organs","authors":"A. Myrzakerimova, M. Nurmaganbetova","doi":"10.1145/3410352.3410759","DOIUrl":"https://doi.org/10.1145/3410352.3410759","url":null,"abstract":"This paper presents the research in automated expert systems for diagnosing diseases of internal organs. The paper begins with a review of current medical situation and systems regarding the software process. This is followed by cybernetic approach and the paradigms it uses. The proposed automated expert system is an information program that uses the expert knowledge of a doctor to effectively solve problems in diagnosing diseases. Basically, the system consists of a knowledge base about diseases of internal organs. Nowadays, the necessity of modern information systems has become tangible in every area. Especially in medicine doctors, whose key point of work is the diagnosing and making therapeutic decisions. The scientific and technological revolution and civilization have given rise to the information problem that human society has encountered. Information technology systems are designed to help diagnose and predict diseases. The aim of this work is the development automated expert system with using of technological methods for diagnosing and predicting diseases. Making diagnostic decisions is often difficult, especially for novice doctors and when the doctor has to make decisions in difficult situations. The paper concludes with some observations regarding when and how the concepts represented by proposed automated system will be available for application for diagnosing diseases of internal organs.","PeriodicalId":178037,"journal":{"name":"Proceedings of the 6th International Conference on Engineering & MIS 2020","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126948229","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

Methods for creating Intelligent transportation systems using dynamic microlevel model of the city based on a qualitative correspondence matrix 基于定性对应矩阵的城市动态微观模型构建智能交通系统的方法

Proceedings of the 6th International Conference on Engineering & MIS 2020 Pub Date : 2020-09-14 DOI: 10.1145/3410352.3410814

Kobdikova Shamsigul, Khalilev Rustam, Arimbekova Perizat

引用次数: 0

Designing business processes based on an integrated approach: process, model and architectural 基于集成方法设计业务流程:流程、模型和体系结构

Proceedings of the 6th International Conference on Engineering & MIS 2020 Pub Date : 2020-09-14 DOI: 10.1145/3410352.3410792

Kuandykov Abu, Uskenbayeva Raissa'

引用次数: 0

Lung Cancer Classification and Detection Using Convolutional Neural Networks 基于卷积神经网络的肺癌分类与检测

Proceedings of the 6th International Conference on Engineering & MIS 2020 Pub Date : 2020-09-14 DOI: 10.1145/3410352.3410822

Deniz Nisham Anwer, Serkan Ozbay

{"title":"Lung Cancer Classification and Detection Using Convolutional Neural Networks","authors":"Deniz Nisham Anwer, Serkan Ozbay","doi":"10.1145/3410352.3410822","DOIUrl":"https://doi.org/10.1145/3410352.3410822","url":null,"abstract":"The immense growth of technology has led to a booming development in the medical science research field. One of the major focuses of researchers is cancer detection in different organs like brain, breast, lung, etc. Lung cancer has a higher cause of death amongst the other cancer types all over the world. Undoubtedly, the most critical point in lung cancer is its early detection where it can lead many patients to survive against the illness. Therefore, one of the most important parts in fighting against lung cancer is detecting it in earlier stages and that's why many systems are being developed with the technology development for achieving this goal. In this work, a recognition system for identifying some lung cancer types including small cell lung cancer, adenocarcinoma, squamous cell cancer, large cell carcinoma, undifferentiated non-small cell lung cancer and also for identifying normal lung is proposed. The proposed algorithm is based on deep learning and convolutional neural network. The system is implemented by transfer learning of MATLAB GUI and it is trained and tested by the data which is collected in K1 hospital located in Kirkuk city, Iraq. The system's convolutional neural network architecture has been developed in deep learning network and it is designed with seven layers and trained in transfer learning with almost 100 samples for each lung cancer type and 50 samples for normal lung. It is found that the proposed system has been successfully worked for the defined purposes.","PeriodicalId":178037,"journal":{"name":"Proceedings of the 6th International Conference on Engineering & MIS 2020","volume":"137 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134237359","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: 5

Feedback seeding scheme for wide frequency band with low seeding power 宽频带低播种功率反馈播种方案

Proceedings of the 6th International Conference on Engineering & MIS 2020 Pub Date : 2020-09-14 DOI: 10.1145/3410352.3410755

Farhat M. Shaltami, Khalid Ateea Alfaitori, Asma Alfergani, M. S. Ab-Rahman

引用次数: 0

An Evaluation of the Attitudes of Healthcare Nurses Towards New Technologies 护理人员对新技术态度的评价

Proceedings of the 6th International Conference on Engineering & MIS 2020 Pub Date : 2020-09-14 DOI: 10.1145/3410352.3410731

M. A. Fadel, Ehab A. Elfallah, Abdelbaset M. Elghriani

引用次数: 6

Application of Big Data in Logistics 大数据在物流中的应用

Proceedings of the 6th International Conference on Engineering & MIS 2020 Pub Date : 2020-09-14 DOI: 10.1145/3410352.3410785

A. Moldagulova, R. Satybaldiyeva, A. Kuandykov

引用次数: 1

Trends the use of Artificial Intelligence techniques for peer assessment 人工智能技术在同行评估中的应用趋势

Proceedings of the 6th International Conference on Engineering & MIS 2020 Pub Date : 2020-09-14 DOI: 10.1145/3410352.3410837

Lorena Bowen Mendoza, Maricela Pinargote Ortega, J. M. Hormaza, S. Soto

{"title":"Trends the use of Artificial Intelligence techniques for peer assessment","authors":"Lorena Bowen Mendoza, Maricela Pinargote Ortega, J. M. Hormaza, S. Soto","doi":"10.1145/3410352.3410837","DOIUrl":"https://doi.org/10.1145/3410352.3410837","url":null,"abstract":"A learning strategy that involves students in the construction of knowledge is the peer assessment, which allows the development of abilities in the base of the rubrics. This research developed a literature review of using artificial intelligence - AI techniques in the processes of selection and design of rubrics in the context of learning evaluation. The classification of information has considered the electronic databases, using the Zott's focus as the research methodology. The preliminary results prove that there are different manners of rubrics designs. These results reveal that the use of rubrics in the peer assessment processes is strongly related to technology involved within AI for support in a better way the teaching-learning processes. The outcomes presented in this paper could become a reference framework for scholars in order to support their rubrics design with AI techniques. Academics should explore the educational potential of the new education based on the diffuse parity methodology, which provides an assessment related to the contribution of students in terms of recommendations in words.","PeriodicalId":178037,"journal":{"name":"Proceedings of the 6th International Conference on Engineering & MIS 2020","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126044830","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: 3

Digitization of Intangible Cultural Heritage as a method to save and actualize it on the example of Kazakh folk dance 以哈萨克民族舞蹈为例，将非物质文化遗产数字化作为其保存与实现的途径

Proceedings of the 6th International Conference on Engineering & MIS 2020 Pub Date : 2020-09-14 DOI: 10.1145/3410352.3410748

Ramadanova Zhanna

{"title":"Digitization of Intangible Cultural Heritage as a method to save and actualize it on the example of Kazakh folk dance","authors":"Ramadanova Zhanna","doi":"10.1145/3410352.3410748","DOIUrl":"https://doi.org/10.1145/3410352.3410748","url":null,"abstract":"The author draws attention to the importance of the role of digitization in the process of preserving the intangible cultural heritage of the people of the world using the example of visualization of Kazakh folk dance samples. Currently, a lot of work is being done in the world to preserve the intangible cultural heritage (ICH) at the initiative of the UN in accordance with the Convention on the Preservation of the Intangible Cultural Heritage of UNESCO, adopted on October 17, 2003. The author considers the visual reconstruction, that is, the digitization of patterns of folk dance movements according to the choreographic texts of famous folk choreographers, including Kazakh folk dances from the books of famous Kazakhstan collectors of dance folklore and choreographers like Shara Zhienkulova, Dauren Abirov, Aubakir Ismailov, topical. According to the author, visual recovery in a more accessible video format of the best examples of folk dance movements described in the choreographic texts of books by masters of folk and folk stage dances, and providing access to them via the Internet, will help to preserve them for future generations and actualization in modern choreography.","PeriodicalId":178037,"journal":{"name":"Proceedings of the 6th International Conference on Engineering & MIS 2020","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126117302","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