2019 International Conference on Advances in the Emerging Computing Technologies (AECT)最新文献

Linking the Present and Past in Virtual Worlds: A Case Study of Development and Navigation 连接虚拟世界中的现在和过去:开发和导航的案例研究

2019 International Conference on Advances in the Emerging Computing Technologies (AECT) Pub Date : 2020-02-01 DOI: 10.1109/AECT47998.2020.9194184

Sajida Akbar, U. Farooq, Ihsan Rabbi, K. Zia

{"title":"Linking the Present and Past in Virtual Worlds: A Case Study of Development and Navigation","authors":"Sajida Akbar, U. Farooq, Ihsan Rabbi, K. Zia","doi":"10.1109/AECT47998.2020.9194184","DOIUrl":"https://doi.org/10.1109/AECT47998.2020.9194184","url":null,"abstract":"Virtual worlds are unique 3D spaces, which are interactive, collaborative, coherent, persistent and social in nature. Users, an integral part of these environments are represented using digital characters, called avatars, and they are allowed to design and develop the content according to their own desires. This paper presents the virtual world presences, developed using OpenSimulator framework and blender, for the present and past of the University of Science and Technology Bannu - Pakistan. The developed spaces are explored through different navigation techniques and they are equipped with interactive maps and signboards for guidance and supporting advanced navigation technique called the teleporting. The developed environment not only imparts online education and helps youngsters to get acquainted with glorious past but also offers virtual tour of the campus to the prospective students of the University. The users were found more motivated when they explored the spaces using flying and teleporting - the navigation means not practical in the physical world. The virtual world presence, developed in this work, is compared with traditional techniques, currently in practice, for imparting education and preserving culture heritage, using a number of parameters.","PeriodicalId":331415,"journal":{"name":"2019 International Conference on Advances in the Emerging Computing Technologies (AECT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115696513","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

Iris segmentation techniques to recognize the behavior of a vigilant driver 虹膜分割技术，以识别一个警觉的司机的行为

2019 International Conference on Advances in the Emerging Computing Technologies (AECT) Pub Date : 2020-02-01 DOI: 10.1109/AECT47998.2020.9194159

Dr. Abdullatif Baba

引用次数: 0

Tree-Based Bagging and Boosting Algorithms for Proactive Invoice Management 基于树的装袋和促进算法的主动发票管理

2019 International Conference on Advances in the Emerging Computing Technologies (AECT) Pub Date : 2020-02-01 DOI: 10.1109/AECT47998.2020.9194200

Mohd. Atir, Mark Haydoutov

引用次数: 0

Dynamic Content and Failure Aware Task Offloading in Heterogeneous Mobile Cloud Networks 异构移动云网络中的动态内容和故障感知任务卸载

2019 International Conference on Advances in the Emerging Computing Technologies (AECT) Pub Date : 2020-02-01 DOI: 10.1109/AECT47998.2020.9194161

Qurat-ul-ain Mastoi, A. Lakhan, F. Khan, Q. Abbasi

引用次数: 9

Educational Business Intelligence Framework Visualizing Significant Features using Metaheuristic Algorithm and Feature Selection 基于元启发式算法和特征选择的教育商业智能框架重要特征可视化

2019 International Conference on Advances in the Emerging Computing Technologies (AECT) Pub Date : 2020-02-01 DOI: 10.1109/AECT47998.2020.9194221

Shamini Raja Kumaran, M. Othman, L. M. Yusuf, Arda Yunianta

{"title":"Educational Business Intelligence Framework Visualizing Significant Features using Metaheuristic Algorithm and Feature Selection","authors":"Shamini Raja Kumaran, M. Othman, L. M. Yusuf, Arda Yunianta","doi":"10.1109/AECT47998.2020.9194221","DOIUrl":"https://doi.org/10.1109/AECT47998.2020.9194221","url":null,"abstract":"Educational business intelligence concerns the decision-making in the education sector and this article intends to analyse the student’s attributes’ contribution toward graduating within the duration. In this research, the framework identifies the best set of attributes and evaluates the performance of the model with the help of 22 input features. This article discussed the development of the business intelligence (BI) framework for the higher education that is able to explore, analyse and visualize the relevant data into information. This is to assist the top management in improving the methodologies in teaching and learning. In this case study, the framework used metaheuristic algorithm, Ant Colony Optimization (ACO) technique mainly to identify the best set of attributes, and the performance was validated using Support Vector Machine (SVM). The framework consists of four layers which are data source, data integration, analytics, and access layers. In this study, 46,658 input data were processed for the identification of postgraduate students who completed their studies within a specified period. The performance evaluation of the data achieved accuracy, sensitivity and precision of 87.44% for PhD dataset and t-test has been conducted to prove that the selected features are significant. Based on the findings, the results from the proposed educational business intelligence framework produced BI dashboard as an output from the framework is capable to act as a decision-making tool for education management and educational technology system.","PeriodicalId":331415,"journal":{"name":"2019 International Conference on Advances in the Emerging Computing Technologies (AECT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114255383","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

The Role of Business Intelligence and Analytics in Higher Education Quality: A Proposed Architecture 商业智能和分析在高等教育质量中的作用:一个建议的体系结构

2019 International Conference on Advances in the Emerging Computing Technologies (AECT) Pub Date : 2020-02-01 DOI: 10.1109/AECT47998.2020.9194157

Ali S. Sorour, A. Atkins, C. Stanier, Fawaz D. Alharbi

引用次数: 5

An Improved RE Framewrok for IoT-Oriented Smart Applications Using Inetgrated Approach 基于集成方法的面向物联网智能应用改进的可重构框架

2019 International Conference on Advances in the Emerging Computing Technologies (AECT) Pub Date : 2020-02-01 DOI: 10.1109/AECT47998.2020.9194173

Sarah Kaleem, Sheeraz Ahmed, Fasee Ullah, M. Babar, Najia Sheeraz, F. Hadi

{"title":"An Improved RE Framewrok for IoT-Oriented Smart Applications Using Inetgrated Approach","authors":"Sarah Kaleem, Sheeraz Ahmed, Fasee Ullah, M. Babar, Najia Sheeraz, F. Hadi","doi":"10.1109/AECT47998.2020.9194173","DOIUrl":"https://doi.org/10.1109/AECT47998.2020.9194173","url":null,"abstract":"Requirement engineering (RE) plays a vital part for developing proficient systems and a major cause of system failure is due to the flaws in the RE. Understanding requirements for developing a system is an essential task and requires domain expertise. Internet of things (IoT) is the emerging field consists of smart devices and sensors connected to the Internet where they communicate with each other in order to exchange data and information. RE community gives very less attention towards IoT domain. This research proposes an improved RE framework for IoT-based smart applications using integrated approach. The proposed framework addresses the challenges faced in the requirement development of smart applications using existing RE methodologies. The proposed framework is an integrated approach which is equipped with the emerging RE techniques in the context of IoT-based smart applications. The proposed framework is comprised of five different steps of RE which are embedded with set of verified RE techniques for efficient requirement management. The proposed framework is validated with a real-time healthcare IoT-based case study to verify and realize the applicability of proposed framework. It is revealed that the projected framework provides precious impending into the requirement management of IoT based smart applications.","PeriodicalId":331415,"journal":{"name":"2019 International Conference on Advances in the Emerging Computing Technologies (AECT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124677907","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

Identifying Elevated and Shallow Respiratory Rate using mmWave Radar leveraging Machine Learning Algorithms 利用机器学习算法利用毫米波雷达识别呼吸频率升高和浅呼吸频率

2019 International Conference on Advances in the Emerging Computing Technologies (AECT) Pub Date : 2020-02-01 DOI: 10.1109/AECT47998.2020.9194198

Syed Aziz Shah, Syed Yaseen Shah, Syed Shah, Daniyal Haider, Ahsen Tahir, Jawad Ahmad

引用次数: 5

An Optimized Linear-Kernel Support Vector Machine for Electricity Load and Price Forecasting in Smart Grids 基于优化线性核支持向量机的智能电网负荷与电价预测

2019 International Conference on Advances in the Emerging Computing Technologies (AECT) Pub Date : 2020-02-01 DOI: 10.1109/AECT47998.2020.9194152

Junaid Masood, Sakeena Javaid, Sheeraz Ahmed, Sameeh Ullah, N. Javaid

引用次数: 1

Utilizing Graph Database for Inferring Domain-Disease Associations 利用图数据库推断领域-疾病关联

2019 International Conference on Advances in the Emerging Computing Technologies (AECT) Pub Date : 2020-02-01 DOI: 10.1109/AECT47998.2020.9194219

A. Elmoselhy, E. Ramadan

引用次数: 0