2019 Conference on Information Communications Technology and Society (ICTAS)最新文献_第4页

Skin Cancer Detection from Macroscopic Images 从宏观图像检测皮肤癌

2019 Conference on Information Communications Technology and Society (ICTAS) Pub Date : 2019-03-01 DOI: 10.1109/ICTAS.2019.8703611

Verosha Pillay, Serestina Viriri

引用次数: 10

Agile UX: Integrating good UX development practices in Agile 敏捷用户体验:在敏捷中集成好的用户体验开发实践

2019 Conference on Information Communications Technology and Society (ICTAS) Pub Date : 2019-03-01 DOI: 10.1109/ICTAS.2019.8703607

Narendren Pillay, J. Wing

引用次数: 4

Local Descriptors Parameter characterization with Fisher vectors for remote sensing images 局部描述子基于Fisher向量的遥感图像参数表征

2019 Conference on Information Communications Technology and Society (ICTAS) Pub Date : 2019-03-01 DOI: 10.1109/ICTAS.2019.8703623

Ronald Tombe, Serestina Viriri

引用次数: 3

Guidelines for Secure Cloud-Based Personal Health Records 基于云的安全个人健康记录指南

2019 Conference on Information Communications Technology and Society (ICTAS) Pub Date : 2019-03-01 DOI: 10.1109/ICTAS.2019.8703524

Avuya Mxoli, N. Mostert, M. Gerber

引用次数: 1

Reducing Zapping Delay in Internet Protocol Television Using a Hybrid Modular Method 利用混合模块方法降低网络协议电视的冲击延迟

2019 Conference on Information Communications Technology and Society (ICTAS) Pub Date : 2019-03-01 DOI: 10.1109/ICTAS.2019.8703627

Timothy T. Adeliyi, O. Olugbara

引用次数: 6

Reliable Internet of Things Network Architecture Based on High Altitude Platforms 基于高空平台的可靠物联网网络架构

2019 Conference on Information Communications Technology and Society (ICTAS) Pub Date : 2019-03-01 DOI: 10.1109/ICTAS.2019.8703519

S. Sibiya, O. Olugbara

引用次数: 8

Implementation of Current Capacitance Resonant Circuit to Monitor Telecommunication and Utility Cable Tampering 电流电容谐振电路监控电信和公用事业电缆篡改的实现

2019 Conference on Information Communications Technology and Society (ICTAS) Pub Date : 2019-03-01 DOI: 10.1109/ICTAS.2019.8703615

Patrick Mabadie, M. Odhiambo

{"title":"Implementation of Current Capacitance Resonant Circuit to Monitor Telecommunication and Utility Cable Tampering","authors":"Patrick Mabadie, M. Odhiambo","doi":"10.1109/ICTAS.2019.8703615","DOIUrl":"https://doi.org/10.1109/ICTAS.2019.8703615","url":null,"abstract":"The telecommunication and utility cable tamper monitoring system was implemented to detect cable tampering. Cable tampering occurs although methods have been developed, to solve, mitigate and decrease cable tampering cases such as cable tampering prevention campaigns at the national and international levels. The objective of the research was to design and implement a cable monitoring system that would detect an anomaly, such as cable theft and report Global Positioning System (GPS) coordinates at which cable tampering took place. The system is an improvement on the traditional cable anti-theft monitoring system, based on tracking resonance signal frequency. The system incorporates a sensing circuit which detects a change in the capacitance value of the cable and converts it into an equivalent frequency value, Field-programable Gate Array (FPGA) board is utilized to convert the frequency into the distance from sensor of cable at which tampering took place. After detecting an anomaly on the cable, the system gives an output divided into two parts which are the display mode and the messaging mode. For display mode, the system uses a Crystal Display (LCD) to display the GPS coordinates of the location where the cable tampering took place and the distance from sensor of the cable where tampering took place. In the messaging mode, the FPGA activates the Global System for Mobile Communication (GSM) module and the module sends alert message to the user when the cable is tampered with.","PeriodicalId":386209,"journal":{"name":"2019 Conference on Information Communications Technology and Society (ICTAS)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126287616","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

The Four I-s of E-skills e技能的四个I-s

2019 Conference on Information Communications Technology and Society (ICTAS) Pub Date : 2019-03-01 DOI: 10.1109/ICTAS.2019.8703618

S. Soobramoney, D. Heukelman

{"title":"The Four I-s of E-skills","authors":"S. Soobramoney, D. Heukelman","doi":"10.1109/ICTAS.2019.8703618","DOIUrl":"https://doi.org/10.1109/ICTAS.2019.8703618","url":null,"abstract":"Nationwide E-inclusion is yet to be realised in many countries, which could explain the E-skills diversities that exist in the workplace and amongst university students. Literature confirms the existence of E-skills diversity however fails to provide a comprehensive solution. Rapid E-learning adoption in South African universities make additional demands on first year students to use technology for learning, hence clear direction on how to address E-skill diversity is critical for university students' success. A longitudinal case study of sixteen undergraduate first year students with diverse E-skill levels was conducted to gather qualitative data needed to understand how using E-learning could contribute towards improving students' E-skills capabilities. Focus group interviews and course assessments were used to gather data from participants and Straussian-grounded-theory methods were employed to ensure rigorous, structured analysis of student experiences with technology and related E-skill development. Emerging categories show that diversity may be addressed by introducing carefully designed incrementally complex E-learning tasks, complemented by instructor interventions, beginning with instruction, then involvement, thereafter facilitating interaction and finally encouraging independence to stimulate E-skill development from fundamental to strategic levels.","PeriodicalId":386209,"journal":{"name":"2019 Conference on Information Communications Technology and Society (ICTAS)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123537285","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

Identifying Students At-Risk with an Ensemble of Machine Learning Algorithms 用机器学习算法集合识别有风险的学生

2019 Conference on Information Communications Technology and Society (ICTAS) Pub Date : 2019-03-01 DOI: 10.1109/ICTAS.2019.8703616

Ranjin Soobramoney, Alveen Singh

{"title":"Identifying Students At-Risk with an Ensemble of Machine Learning Algorithms","authors":"Ranjin Soobramoney, Alveen Singh","doi":"10.1109/ICTAS.2019.8703616","DOIUrl":"https://doi.org/10.1109/ICTAS.2019.8703616","url":null,"abstract":"Accurately predicting the academic performance of students is an important process for the long term sustainability of higher education institutions (HEIs). A reliable and timely identification of students at-risk will enable HEIs to take proactive measures to assist these students. Owing to large student numbers with varying backgrounds, identifying students at-risk is often primarily a manual process involving an analysis of students' prior academic results and little else. While prior academic results do play an important role in indentifying students at-risk, there could be several other factors that may be overlooked. The demographic and financial circumstances of the student for instance could play a key role in more accurately identifying students at-risk. It may be impractical to consider all of these factors when manually trying to identify students at-risk. We propose that classification models using an ensemble of machine learning algorithms (MLAs) have promising prospects to more effectively predict students at-risk by including several factors that may often not even be practical with manual methods.","PeriodicalId":386209,"journal":{"name":"2019 Conference on Information Communications Technology and Society (ICTAS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123745594","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