2019 2nd International Conference of the IEEE Nigeria Computer Chapter (NigeriaComputConf)最新文献_第5页

PMU Optimal Placement in Smart Grid using WLAV Power System Estimator 基于WLAV电力系统估计器的智能电网PMU优化配置

2019 2nd International Conference of the IEEE Nigeria Computer Chapter (NigeriaComputConf) Pub Date : 2019-10-01 DOI: 10.1109/NigeriaComputConf45974.2019.8949648

M. S. Shahriar, Yusuf Abubakar Sha’aban, I. Habiballah, Farhan Ahmad

{"title":"PMU Optimal Placement in Smart Grid using WLAV Power System Estimator","authors":"M. S. Shahriar, Yusuf Abubakar Sha’aban, I. Habiballah, Farhan Ahmad","doi":"10.1109/NigeriaComputConf45974.2019.8949648","DOIUrl":"https://doi.org/10.1109/NigeriaComputConf45974.2019.8949648","url":null,"abstract":"The monitoring, observation and security of a modern-day smart grid system is highly dependent on the accuracy of the selected state estimator. State estimation provides accurate states of a power system in a real-time frame. The conventional meters, which are mostly installed in current smart grid systems are prone to provide wrong measurements to the estimator, which reduces the efficiency of the state estimation results. Over the last two decades, new and reliable meters have been introduced to electric utilities. For example, phasor measurement units (PMU), which are devices that can provide voltage and current phasors with a very high accuracy are readily available. However, they are expensive and need to be optimally placed on the smart grids. This paper presents a technique for optimizing the placement of PMUs, with the objective of improving the estimation performance using Genetic Algorithm (GA). The weighted least absolute value (WLAV) estimator, which is one of the well-established robust estimators, is being selected for simulation. The IEEE-14 and 30-bus power systems are chosen to demonstrate the effectiveness of proposed optimal PMU placement.","PeriodicalId":228657,"journal":{"name":"2019 2nd International Conference of the IEEE Nigeria Computer Chapter (NigeriaComputConf)","volume":"42 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":"132603657","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

Temporal Variation of Duty Cycle in the GSM Bands GSM波段占空比的时间变化

2019 2nd International Conference of the IEEE Nigeria Computer Chapter (NigeriaComputConf) Pub Date : 2019-10-01 DOI: 10.1109/NigeriaComputConf45974.2019.8949634

G. A. Ishola, Balogun V. Segun, N. Faruk, K. Adewole, A. Oloyede, L. Olawoyin, R. Jimoh

{"title":"Temporal Variation of Duty Cycle in the GSM Bands","authors":"G. A. Ishola, Balogun V. Segun, N. Faruk, K. Adewole, A. Oloyede, L. Olawoyin, R. Jimoh","doi":"10.1109/NigeriaComputConf45974.2019.8949634","DOIUrl":"https://doi.org/10.1109/NigeriaComputConf45974.2019.8949634","url":null,"abstract":"In a quest to efficiently manage the scarce spectrum, researchers, governments and regulatory bodies have been conducting spectrum occupancy measurements in various countries across the world. This paper describes the results and analysis derived from a long-term spectrum occupancy measurement conducted in GSM bands at a fixed location in the Faculty of Communication and Information sciences, University of Ilorin, Nigeria. The measurements data were collected for 4 weeks continuously for a period of 24 hours. The data gathered were used to determine the temporal variation of duty cycle in all the bands. The GSM 900 and GSM 1800 have average spectrum occupancy of 10%, and 9% respectively. The results showed some form of temporal variation due to variable activity in days and nights, weekdays and weekends. This is an effort to develop spectrum usage repository for big data analytic studies. This would help researchers and policy makers to understand the activities going on in the spectrum bands so that they can device intelligent spectrum models for effective utilization.","PeriodicalId":228657,"journal":{"name":"2019 2nd International Conference of the IEEE Nigeria Computer Chapter (NigeriaComputConf)","volume":"5 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":"124208994","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

Neuro-fuzzy ensemble techniques for the prediction of turbidity in water treatment plant 水处理厂浊度预测的神经模糊集合技术

2019 2nd International Conference of the IEEE Nigeria Computer Chapter (NigeriaComputConf) Pub Date : 2019-10-01 DOI: 10.1109/NigeriaComputConf45974.2019.8949629

S. Abba, R. A. Abdulkadir, M. S. Gaya, M. A. Saleh, Parveneh Esmaili, M. B. Jibril

{"title":"Neuro-fuzzy ensemble techniques for the prediction of turbidity in water treatment plant","authors":"S. Abba, R. A. Abdulkadir, M. S. Gaya, M. A. Saleh, Parveneh Esmaili, M. B. Jibril","doi":"10.1109/NigeriaComputConf45974.2019.8949629","DOIUrl":"https://doi.org/10.1109/NigeriaComputConf45974.2019.8949629","url":null,"abstract":"Providing a satisfactory and reliable prediction tool for Turbidity in water treatment plant is quite an essential task for various environmental and public health perspective. In this paper, a neuro-fuzzy approach is developed using two different optimizations of fuzzy inference system (FIS) (i.e. hybrid and backpropagation) to predict the treated Turbidity at Tamburawa water treatment plant (TWTP). Subsequently, a neuro-fuzzy ensemble technique was applied to improve the performance of the two optimizations. For this purpose, the daily recorded data of turbidity (TurbR) (μs/cm), conductivity (CondT) (mS/cm), total dissolve solid (TDSR) (mg/L), chloride (mg/L) and suspended solid (SSR) (mg/L) and Hardness (HardnessT) (mg/L) from TWTP were obtained. The predictive models were evaluated based on two numerical indicators (determination coefficient and root mean square error). The obtained results indicated that neuro-fuzzy hybrid increased the performance accuracy of neuro-fuzzy backpropagation optimization up 16% and 15% in both the training and testing phase respectively. For neuro-fuzzy ensemble results, the performance proved that hybrid ensemble increased the prediction efficiency of backpropagation ensemble up to 18% in the testing phase. Hence, for the prediction of Turbidity in TWTP both the hybrid FIS optimization and ensemble hybrid FIS optimization showed excellent accuracy while for its recommended to employed ensemble techniques in case of backpropagation FIS optimization. The ensemble methodology proved to be implemented as a real-time prediction model that can provide a brilliant approach for environmental sustainability.","PeriodicalId":228657,"journal":{"name":"2019 2nd International Conference of the IEEE Nigeria Computer Chapter (NigeriaComputConf)","volume":"31 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":"114234863","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

Web-Based Cataract Detection System Using Deep Convolutional Neural Network 基于web的深度卷积神经网络白内障检测系统

2019 2nd International Conference of the IEEE Nigeria Computer Chapter (NigeriaComputConf) Pub Date : 2019-10-01 DOI: 10.1109/NigeriaComputConf45974.2019.8949636

Musa Yusuf, Samuel Theophilous, Jadesola Adejoke, A. B. Hassan

{"title":"Web-Based Cataract Detection System Using Deep Convolutional Neural Network","authors":"Musa Yusuf, Samuel Theophilous, Jadesola Adejoke, A. B. Hassan","doi":"10.1109/NigeriaComputConf45974.2019.8949636","DOIUrl":"https://doi.org/10.1109/NigeriaComputConf45974.2019.8949636","url":null,"abstract":"The alarming cases of cataract within the last decade and the projection of cataract cases within the next few decades call for urgent intervention by early diagnosis. Formal ways of detecting cataract such as physical examination, tests and diagnosis are clinic and professional bound. Hence the need for automation process. Some works have been done on Computer Aided Diagnosis (CAD) of cataract with tools such as Expert systems, which are limited to their knowledgebase thus inaccurate. Early diagnosis of cataract enables quick intervention and treatment. This paper presents a web-based Computer Aided Diagnostic for cataract detection system using Convolutional Neural Network that can be used by any nonprofessional outside the clinic environment. The systems model trained on a data set of 100 eye images using transfer learning which were retrieved from google image search results of “normal human eyes” and “human eye cataract”. It utilized ImageNet model developed in ILSVRC2012 using the Convolutional Neural Network classifier and transferred its knowledge using Transfer learning to train a new model. The new model gained the ability to classify eye images into “Normal” and “Cataractious”. The system was designed to take images as inputs and achieved a Sensitivity of 69%, a Specificity of 86%, Precision of 86%, F-Score of 56% and AUC of 84.56%. Its accuracy score was 78% which was influenced using the model trained during the ImageNet image classification using deep convolutional neural network","PeriodicalId":228657,"journal":{"name":"2019 2nd International Conference of the IEEE Nigeria Computer Chapter (NigeriaComputConf)","volume":"3 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":"134599076","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: 8

Validation of Aerodynamic Coefficients for Flight Control System of A Medium Altitude Long Endurance Unmanned Aerial vehicle 某中高空长航时无人机飞控系统气动系数验证

2019 2nd International Conference of the IEEE Nigeria Computer Chapter (NigeriaComputConf) Pub Date : 2019-10-01 DOI: 10.1109/NigeriaComputConf45974.2019.8949628

M. Kadiri, Ameer Mohammed, Sunday Sanusi

{"title":"Validation of Aerodynamic Coefficients for Flight Control System of A Medium Altitude Long Endurance Unmanned Aerial vehicle","authors":"M. Kadiri, Ameer Mohammed, Sunday Sanusi","doi":"10.1109/NigeriaComputConf45974.2019.8949628","DOIUrl":"https://doi.org/10.1109/NigeriaComputConf45974.2019.8949628","url":null,"abstract":"Stability and manoeuvrability have been the major trade-off in the design of aircraft both for civil or military usage. Hence, the need to design a suitable system for the control of the flight control surfaces (Elevator, Rudder and Aileron) on the aircraft. The flight control system (FCS) design helps resolve both the flying and handling qualities of the Unmanned Aerial Vehicles (UAV); it makes use of Stability Augmentation System (SAS) as a feedback mechanism tool for the FCS. Therefore, this paper discusses the validation of FCS for a Medium Altitude Long Endurance (MALE) UAV, whose service ceiling is 15,000 ft., having an endurance of up to 20 hours. A six degrees of freedom (DOF) aircraft model was used to test both the longitudinal and lateral/directional stabilities of the aircraft. Conceptual design parameters were used to generate both the dimensionless and derivatives of the MALE UAV using the AVL software. The results generated from AVL were validated using the digital DATCOM applications and both applications gave satisfactory results though with slight variations in the values of the coefficients obtained from both applications.","PeriodicalId":228657,"journal":{"name":"2019 2nd International Conference of the IEEE Nigeria Computer Chapter (NigeriaComputConf)","volume":"47 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":"114657488","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

A High Gain Patch Antenna Array for 5G Communication 用于5G通信的高增益贴片天线阵列

2019 2nd International Conference of the IEEE Nigeria Computer Chapter (NigeriaComputConf) Pub Date : 2019-10-01 DOI: 10.1109/NigeriaComputConf45974.2019.8949652

S. Zakariyya, B. O. Sadiq, Muzzammil. A. Adebayo, A. Salami, A. M. Usman, M. A. Afolayan

引用次数: 0

Sinkhole Attack Detection in A Wireless Sensor Networks using Enhanced Ant Colony Optimization to Improve Detection Rate 基于增强蚁群优化的无线传感器网络天坑攻击检测

2019 2nd International Conference of the IEEE Nigeria Computer Chapter (NigeriaComputConf) Pub Date : 2019-10-01 DOI: 10.1109/NigeriaComputConf45974.2019.8949642

Kenneth E. Nwankwo, S. Abdulhamid

引用次数: 1

A PC-Based Multifunctional Virtual Oscilloscope 基于pc的多功能虚拟示波器

2019 2nd International Conference of the IEEE Nigeria Computer Chapter (NigeriaComputConf) Pub Date : 2019-10-01 DOI: 10.1109/NigeriaComputConf45974.2019.8949640

A. U. Jibia, Ndubuisi D. Robinson

引用次数: 2

Modified Handover Decision Algorithm in Long Term Evolution Advanced Network 改进的长进化高级网络切换决策算法

2019 2nd International Conference of the IEEE Nigeria Computer Chapter (NigeriaComputConf) Pub Date : 2019-10-01 DOI: 10.1109/NigeriaComputConf45974.2019.8949630

A. S. Sada, Z. M. Abdullahi, A. D. Usman, A. Tekanyi, A. U. Mubarak, Y. A. Maiwada

引用次数: 1

IOT Controlled Home Automation Technologies 物联网控制的家庭自动化技术

2019 2nd International Conference of the IEEE Nigeria Computer Chapter (NigeriaComputConf) Pub Date : 2019-10-01 DOI: 10.1109/NigeriaComputConf45974.2019.8949655

Shadrach A Adamu, U. I. Bature, A. Y. Nasir, A. M. Hassan, K. I. Jahun, U. S. Toro

{"title":"IOT Controlled Home Automation Technologies","authors":"Shadrach A Adamu, U. I. Bature, A. Y. Nasir, A. M. Hassan, K. I. Jahun, U. S. Toro","doi":"10.1109/NigeriaComputConf45974.2019.8949655","DOIUrl":"https://doi.org/10.1109/NigeriaComputConf45974.2019.8949655","url":null,"abstract":"IoT controlled Home Automation allows objects to be sensed and/or controlled remotely across existing network infrastructure, creating opportunities for more direct integration of the physical world into computer-based systems. Energy consumption can be measured through its environmental impact and usage; the measure of the amount of power consumed by the load side of an electrical circuit is termed energy consumption. Energy consumption is a major issue in the modern world. Inefficient power monitoring and controlling techniques in the households, businesses, and institutions are the main cause of power consumption. This system is intended to assist and provide support to the needy ones like the elderly, disabled etc. Also, the IoT controlled home concept will greatly help in reducing the power consumption and the risk of fire incidences.This study is to showcase the design and implementation of an IOT Controlled Home Automation Technologies. This unit was developed using low-cost components such as the universal Arduino microcontroller and esp8266 Wi-Fi module. One of the features of the developed unit is the ability to monitor and control electrical and electronics appliance from internet through a website. This feature ensures home security and ease of control. It results improved efficiency, accuracy and economic benefit in addition to reduced human intervention.","PeriodicalId":228657,"journal":{"name":"2019 2nd International Conference of the IEEE Nigeria Computer Chapter (NigeriaComputConf)","volume":"28 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":"134407792","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