2019 2nd International Conference of the IEEE Nigeria Computer Chapter (NigeriaComputConf)最新文献_第6页

Fraud Detection in Credit Card and Application of VAT Clustering Algorithm: A Review 信用卡欺诈检测及增值税聚类算法的应用综述

2019 2nd International Conference of the IEEE Nigeria Computer Chapter (NigeriaComputConf) Pub Date : 2019-10-01 DOI: 10.1109/NigeriaComputConf45974.2019.8949660

A. Abdulrazaq, Muhammad Bashir Abdulrazaq, I. J. Umoh, E. A. Adedokun

引用次数: 1

Energy Efficient Learning Automata Based QLRACH (EELA-RACH) Access Scheme for Cellular M2M Communications 基于节能学习自动机的qrach (EELA-RACH)蜂窝M2M通信接入方案

2019 2nd International Conference of the IEEE Nigeria Computer Chapter (NigeriaComputConf) Pub Date : 2019-10-01 DOI: 10.1109/NigeriaComputConf45974.2019.8949654

Nasir A. Shinkafi, L. M. Bello, D. S. Shu'aibu, I. Saidu

引用次数: 1

Machine Learning Classification Algorithms for Phishing Detection: A Comparative Appraisal and Analysis 网络钓鱼检测的机器学习分类算法:比较评价与分析

2019 2nd International Conference of the IEEE Nigeria Computer Chapter (NigeriaComputConf) Pub Date : 2019-10-01 DOI: 10.1109/NigeriaComputConf45974.2019.8949632

Noah Ndakotsu Gana, S. Abdulhamid

{"title":"Machine Learning Classification Algorithms for Phishing Detection: A Comparative Appraisal and Analysis","authors":"Noah Ndakotsu Gana, S. Abdulhamid","doi":"10.1109/NigeriaComputConf45974.2019.8949632","DOIUrl":"https://doi.org/10.1109/NigeriaComputConf45974.2019.8949632","url":null,"abstract":"Exponential growth experienced in Internet usage have pave way to exploit users of the Internet, phishing attack is one of the means that can be used to obtained victim confidential details unwittingly across the Internet. A high false positive rate and low accuracy has been a setback in phishing detection. In this research RandomForest, SysFor, SPAARC, RepTree, RandomTree, LMT, ForestPA, JRip, PART, NNge, OneR, AdaBoostM1, RotationForest, LogitBoost, RseslibKnn, LibSVM, and BayesNet were employed to achieve the comparative analysis of machine classifier. The performance of the classifier algorithms were rated using Accuracy, Precision, Recall, F-Measure, Root Mean Squared Error, Receiver Operation Characteristics Area, Root Relative Squared Error False Positive Rate and True Positive Rate using WEKA data mining tool. The research revealed that quit a number of classifiers also exist which if properly explored will yield more accurate results for phishing detection. RondomForest was found to be an excellent classifier that gives the best accuracy of 0.9838 and a false positive rate of 0.017. The comparative analysis result indicates the achievement of low false positive rate for phishing classification which suggest that anti-phishing application developer can implement the machine learning classification algorithm that was discovered to be the best in this study to enhance the feature of phishing attack detection and classification.","PeriodicalId":228657,"journal":{"name":"2019 2nd International Conference of the IEEE Nigeria Computer Chapter (NigeriaComputConf)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121525429","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

A Conceptual Framework for Detection of Learning Style from Facial Expressions using Convolutional Neural Network 基于卷积神经网络的面部表情学习风格检测的概念框架

2019 2nd International Conference of the IEEE Nigeria Computer Chapter (NigeriaComputConf) Pub Date : 2019-10-01 DOI: 10.1109/NigeriaComputConf45974.2019.8949656

F. L. Gambo, G. Wajiga, E. J. Garba

{"title":"A Conceptual Framework for Detection of Learning Style from Facial Expressions using Convolutional Neural Network","authors":"F. L. Gambo, G. Wajiga, E. J. Garba","doi":"10.1109/NigeriaComputConf45974.2019.8949656","DOIUrl":"https://doi.org/10.1109/NigeriaComputConf45974.2019.8949656","url":null,"abstract":"There are millions of learning materials over the internet that students can use to assimilate new information. But once their preferred learning style is known, they can be provided with a responsive recommendation so that can focus more on representations that will foster their understanding. Providing students with preferred learning object no doubt increase their motivation and hence their learning outcome. Identifying student’s learning styles allows them to learn better and faster through several means. Traditionally, a test (use of questionnaire) is usually conducted for automatic detection and prediction of student’s learning preferences particularly in e-learning. This approach though valid and reliable in detection of learning styles, but it is also associated with many challenges; learner self-report bias, individual earning styles may vary over time, Students not aware of the importance or the future uses of the questionnaire. To this end, this paper proposed a conceptual framework for detection of learning style from facial expression using Convolution neural network.","PeriodicalId":228657,"journal":{"name":"2019 2nd International Conference of the IEEE Nigeria Computer Chapter (NigeriaComputConf)","volume":"s3-19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130083828","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

Hospital Electronic Queuing Solution System 医院电子排队解决系统

2019 2nd International Conference of the IEEE Nigeria Computer Chapter (NigeriaComputConf) Pub Date : 2019-10-01 DOI: 10.1109/NigeriaComputConf45974.2019.8949662

Ajekiigbe Enoch Seun, U. I. Bature, K. I. Jahun, A. Y. Nasir, A. M. Hassan, U. S. Toro

{"title":"Hospital Electronic Queuing Solution System","authors":"Ajekiigbe Enoch Seun, U. I. Bature, K. I. Jahun, A. Y. Nasir, A. M. Hassan, U. S. Toro","doi":"10.1109/NigeriaComputConf45974.2019.8949662","DOIUrl":"https://doi.org/10.1109/NigeriaComputConf45974.2019.8949662","url":null,"abstract":"Queuing is a major challenge for healthcare services all over the world, but particularly in developing countries. Application of queuing theory to enhance decision making to improve this problem is not commonly used by managers in developing countries in contrast to their counterparts in the developed world. In many hospitals, Patients wait for long time in the healthcare facility before they are attended to by the health personnel. This project presents the design and implementation of Automatic Hospital Queue Management System. The system operates on an input/output basis; centered on a programmed ATMEGA328p microcontroller. The system receives the input from the client on the device through the use of RFID card reader which reads the card of the patient and therefore a number will be assigned to the patient, whereby he or she will therefore proceed to the appropriate sit assigned. When a doctor is available a receptionist will therefore press the button of the next available doctor whereby this action then triggers a record of the next patient on the queue by calling it through a speaker and displaying it on the (LCD).","PeriodicalId":228657,"journal":{"name":"2019 2nd International Conference of the IEEE Nigeria Computer Chapter (NigeriaComputConf)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114530129","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

Multi-Tenancy Cloud-Enabled Small Cell Security 支持多租户云的小单元安全性

2019 2nd International Conference of the IEEE Nigeria Computer Chapter (NigeriaComputConf) Pub Date : 2019-10-01 DOI: 10.1109/NigeriaComputConf45974.2019.8949667

B. Abubakar, H. Mouratidis

引用次数: 0

A Novel Cultural Evolution-Based Nomadic Pastoralist Optimization Algorithm (NPOA): The Mathematical Models 基于文化进化的游牧牧民优化算法(NPOA):数学模型

2019 2nd International Conference of the IEEE Nigeria Computer Chapter (NigeriaComputConf) Pub Date : 2019-10-01 DOI: 10.1109/NigeriaComputConf45974.2019.8949635

Ibrahim M. Abdullahi, M. B. Mu'azu, O. Olaniyi, J. Agajo

引用次数: 1

Implementation of a Data Transmission System using Li-Fi Technology 基于Li-Fi技术的数据传输系统的实现

2019 2nd International Conference of the IEEE Nigeria Computer Chapter (NigeriaComputConf) Pub Date : 2019-10-01 DOI: 10.1109/NigeriaComputConf45974.2019.8949659

E. Ifada, N. Surajudeen-Bakinde, N. Faruk, A. Abubakar, O. O. Mohammed, A. O. Otuoze

{"title":"Implementation of a Data Transmission System using Li-Fi Technology","authors":"E. Ifada, N. Surajudeen-Bakinde, N. Faruk, A. Abubakar, O. O. Mohammed, A. O. Otuoze","doi":"10.1109/NigeriaComputConf45974.2019.8949659","DOIUrl":"https://doi.org/10.1109/NigeriaComputConf45974.2019.8949659","url":null,"abstract":"Over the years, the overdependence on Wireless Fidelity (Wi-Fi) for data transmission necessitated the need for an alternate and more reliable means of communication, hence, Light Fidelity (Li-Fi). It involves the use of Light Emitting Diode to transmit data by blinking (i.e. switching them On and Off) at a speed not noticeable to the eye. This paper proposed the development of the Li-Fi system using off the shelf electronic components. The proposed system utilizes an embedded system with dual-core Advanced Virtual RISC (AVR) microcontroller (ATmega16L) interfaced to input/output circuits comprising of the Light Emitting Diode (LED), LM358N Operational Amplifier and a photodiode. Also, by developing a user (Receiver PC) interface using JAVA programming, the sample data (text) transferred was monitored and the speed, efficiency, security and capacity of the system was examined and discovered to be top notch. This would make the system an indispensable means of communication in the nearest future. This data transmission system is different from those in existence because expensive components were not in the design, invariably reducing the overall cost of the implementation.","PeriodicalId":228657,"journal":{"name":"2019 2nd International Conference of the IEEE Nigeria Computer Chapter (NigeriaComputConf)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114069101","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

Intrusion Detection System Based on Support Vector Machine Optimised with Cat Swarm Optimization Algorithm 基于Cat群算法优化的支持向量机入侵检测系统

2019 2nd International Conference of the IEEE Nigeria Computer Chapter (NigeriaComputConf) Pub Date : 2019-10-01 DOI: 10.1109/NigeriaComputConf45974.2019.8949676

S. Idris, O. Oyefolahan Ishaq, N. Ndunagu Juliana

引用次数: 4

Speed Control of a Three Phase Induction Motor using a PI Controller 用PI控制器控制三相异步电动机的速度

2019 2nd International Conference of the IEEE Nigeria Computer Chapter (NigeriaComputConf) Pub Date : 2019-10-01 DOI: 10.1109/NigeriaComputConf45974.2019.8949624

G. Olarinoye, C. Akinropo, G. J. Atuman, Z. Abdullahi

引用次数: 3