Proceedings of the 6th International Conference on Engineering & MIS 2020最新文献_第5页

Next Generation Home Automation System Based on Voice Recognition 基于语音识别的下一代家庭自动化系统

Proceedings of the 6th International Conference on Engineering & MIS 2020 Pub Date : 2020-09-14 DOI: 10.1145/3410352.3410808

Moeid M. Elsokah, Hana H. Saleh, Amer R. Ze

{"title":"Next Generation Home Automation System Based on Voice Recognition","authors":"Moeid M. Elsokah, Hana H. Saleh, Amer R. Ze","doi":"10.1145/3410352.3410808","DOIUrl":"https://doi.org/10.1145/3410352.3410808","url":null,"abstract":"In the past years, doctors have been aware of the need for self-reliance and self-help. The Internet of Things is the result of an evolution in technology that helps improve everyone's lifestyle if used carefully and efficiently. Recently homed automation systems use technology to facilitate the lives of people who use them, and are especially useful for helping the blind, the elderly and the disabled. Health care for the Internet of Things can enhance patient participation and satisfaction by allowing patients to feel independent and able to live in their homes without the help of others. This paper focuses in particular on the design of the home automation system controlled by sound, which makes the operation of electrical appliances in the house is easy, fun, and through voice commands control lighting, television, radio, music player and air conditioning The possibility of disconnecting the main electricity in case of emergency. This system is designed to suit the elderly and disabled, but can also be in any home and used by anyone. It provides health care, security, entertainment, and complete control. The motivation of the system is to promote self-reliance making the person satisfied by improving his ability to do things. It can be the biggest help for physically disabled people.","PeriodicalId":178037,"journal":{"name":"Proceedings of the 6th International Conference on Engineering & MIS 2020","volume":"3 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":"128397367","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: 7

Examining students views on the implementation of the two-way immersion program in the educational process of Kazakhstan 考察学生对哈萨克斯坦教育过程中实施双向浸入式课程的看法

Proceedings of the 6th International Conference on Engineering & MIS 2020 Pub Date : 2020-09-14 DOI: 10.1145/3410352.3410757

A. Ospanova, T. Shelestova

引用次数: 0

Artificial intelligence and its impact on the prediction of economic indicators 人工智能及其对经济指标预测的影响

Proceedings of the 6th International Conference on Engineering & MIS 2020 Pub Date : 2020-09-14 DOI: 10.1145/3410352.3410827

K. M. Ramírez, J. M. Hormaza, S. Soto

{"title":"Artificial intelligence and its impact on the prediction of economic indicators","authors":"K. M. Ramírez, J. M. Hormaza, S. Soto","doi":"10.1145/3410352.3410827","DOIUrl":"https://doi.org/10.1145/3410352.3410827","url":null,"abstract":"Economic indicators are key statistics based on economy, some examples of economic indicators are inflation rate, gross domestic product (GDP), unemployment rate, consumer price indices (CPI), interest rate, exports, consumption of energy, among others. Most of the published studies are focused on contextualizing and predict a particular economic indicator without considering the current general situation on how non-linear models have been used in predicting some of the economic indicators. This article, has analyzed in the scientific production the artificial intelligence methods mostly used in the development of prediction models of economic indicators. The study was carried out by means of a systematic literature review (SLR) using the Web of Science (WOS), Scopus and Google Scholar bibliographic databases (BD) as resources. The documents and general information analyzed qualitatively are filtered between the range of years 2015 to 2019 to which an adequate set of quality and selection criteria were applied. The approach of the research questions allowed to describe the outcomes in categories where the studies by predicted economic indicator and applied artificial intelligence method have been successfully included. The outcomes that have been obtained in this article represent a starting point for researchers, academics and professionals who wish to carry out studies related to the prediction of economic indicators using some artificial intelligence (AI) methods. In conclusion, some of the artificial intelligence methods used to predict economic indicators are artificial neural networks (ANN), adaptive systems of diffuse neuro inference (ANFIS), genetic programming (GP), support vector regression (SVR), machines extreme learning and other machine learning (ML) techniques.","PeriodicalId":178037,"journal":{"name":"Proceedings of the 6th International Conference on Engineering & MIS 2020","volume":"38 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":"133859225","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: 2

Monitoring of promising frequency ranges for 5G network development in Almaty city 监测阿拉木图市5G网络发展的有前途的频率范围

Proceedings of the 6th International Conference on Engineering & MIS 2020 Pub Date : 2020-09-14 DOI: 10.1145/3410352.3410812

A. Kulakayeva, V. Tikhvinskiy, A. Aitmagambetov, A. Zhaksylyk, B. Kozhakhmetova

引用次数: 1

A Framework to Protect Against Phishing Attacks 防止网络钓鱼攻击的框架

Proceedings of the 6th International Conference on Engineering & MIS 2020 Pub Date : 2020-09-14 DOI: 10.1145/3410352.3410825

Y. A. Younis, Mohamed S. Musbah

{"title":"A Framework to Protect Against Phishing Attacks","authors":"Y. A. Younis, Mohamed S. Musbah","doi":"10.1145/3410352.3410825","DOIUrl":"https://doi.org/10.1145/3410352.3410825","url":null,"abstract":"Phishing is a social engineering attack which aims to manipulate people and encourage them to expose their confidential information. The most common methods and techniques used for phishing are emails, chats or websites. Furthermore, there are various types of phishing attacks, for instance, spear-phishing and smishing. Many solutions have been proposed to prevent and detect phishing attacks such as users' awareness methods and detection tools. However, phishing still on the top of attacks with a high number of victims. One of the main reasons is the lack of users' knowledge. This could have more severe effects on Arabic users as most of the proposed mitigation solutions have not considered Arabic users. Furthermore, there is an enormous lack of knowledge in computing and security. It is highly likely that they can be victimized using social engineering attacks. This paper presents a framework to protect against phishing attacks by enhancing the users' awareness to detect phishing attacks. The proposed framework has two major components, which are animation videos for training awareness and gamification part to assess the delivered knowledge.","PeriodicalId":178037,"journal":{"name":"Proceedings of the 6th International Conference on Engineering & MIS 2020","volume":"38 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":"127674952","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

Prediction of USM Process Parameters, Material Remove Rate and Surface Roughness of Zirconia BioCeramics Using RSM and Fuzzy-Logic 基于RSM和模糊逻辑的氧化锆生物陶瓷USM工艺参数、材料去除率和表面粗糙度预测

Proceedings of the 6th International Conference on Engineering & MIS 2020 Pub Date : 2020-09-14 DOI: 10.1145/3410352.3410745

Bushra Elkadiki, O. Elmabrouk

引用次数: 0

Accuracy' Measures of Sentiment Analysis Algorithms for Spanish Corpus generated in Peer Assessment 在同行评估中生成的西班牙语语料库的情感分析算法的准确性度量

Proceedings of the 6th International Conference on Engineering & MIS 2020 Pub Date : 2020-09-14 DOI: 10.1145/3410352.3410838

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

引用次数: 3

Delay-Dependent Stability Analysis of Inverted Pendulum Controlled Over Communication Network 通信网络控制倒立摆的时滞稳定性分析

Proceedings of the 6th International Conference on Engineering & MIS 2020 Pub Date : 2020-09-14 DOI: 10.1145/3410352.3410775

Asma Alfergani, A. Khalil, Farhat M. Shaltami

引用次数: 0

Performance Comparison of MPC and PID in CSTR Process Control MPC与PID在CSTR过程控制中的性能比较

Proceedings of the 6th International Conference on Engineering & MIS 2020 Pub Date : 2020-09-14 DOI: 10.1145/3410352.3410764

Mawia Elgazzar, A. Shamekh

引用次数: 3

Developing a Framework for Measuring and Evaluating the Quality of Libyan Locally Developed Software Products 开发衡量和评估利比亚本地开发软件产品质量的框架

Proceedings of the 6th International Conference on Engineering & MIS 2020 Pub Date : 2020-09-14 DOI: 10.1145/3410352.3410780

Ayoup Elorfi, Bilal Aljabour, M. A. Younis, Reyad Ihwas

引用次数: 0