2019 15th International Conference on Electronics, Computer and Computation (ICECCO)最新文献_第7页

Distributed sentiment analysis of an agglutinative language via Spark by applying machine learning methods 应用机器学习方法，通过Spark对黏着语言进行分布式情感分析

2019 15th International Conference on Electronics, Computer and Computation (ICECCO) Pub Date : 2019-12-01 DOI: 10.1109/ICECCO48375.2019.9043264

Azamat Serek, A. Issabek, A. Bogdanchikov

引用次数: 3

Assessing Severity of Non-technical Losses in Power using Clustering Algorithms 利用聚类算法评估电力非技术损失的严重程度

2019 15th International Conference on Electronics, Computer and Computation (ICECCO) Pub Date : 2019-12-01 DOI: 10.1109/ICECCO48375.2019.9043277

H. Umar, R. Prasad, M. Fonkam

{"title":"Assessing Severity of Non-technical Losses in Power using Clustering Algorithms","authors":"H. Umar, R. Prasad, M. Fonkam","doi":"10.1109/ICECCO48375.2019.9043277","DOIUrl":"https://doi.org/10.1109/ICECCO48375.2019.9043277","url":null,"abstract":"Electricity or power has become an essential service which is instrumental to many social, economic and technological developments worldwide. However, power utilities competing in emerging markets are confronted with challenges of shortfall in revenue due to collection losses known as Non-Technical losses (NTLs). Assessing and plummeting NTL to increase revenue, and reliability of the distribution of power remains a top priority for the utilities and regulators. The amount of data generated by power utilities offers exceptional opportunities owing to Machine Learning (ML) techniques to better understand the payment and consumption patterns of consumers. Consumers on the same profile can be segmented into clusters of similar behaviour through Customer segmentation. This paper applies k-means and DBSCAN clustering algorithms to segment customers by a measure of their bill payments, consumption and tariff plans then grouped into clusters. The clusters encountered, shows different categories of consumers in relation to their obligation profiles and tariff plans. K-means gives a better visualization in terms of cluster assignment. Dense clusters and outliers were viewed in DBSCAN.","PeriodicalId":166322,"journal":{"name":"2019 15th International Conference on Electronics, Computer and Computation (ICECCO)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133880522","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

Minimizing Battery Consumption in Mobile Device To Device and Spectrum Sharing Network: An Approach 移动设备对设备和频谱共享网络中最小化电池消耗的方法

2019 15th International Conference on Electronics, Computer and Computation (ICECCO) Pub Date : 2019-12-01 DOI: 10.1109/ICECCO48375.2019.9043274

Vera Ilenikhena, J. Abolarinwa, M. David

引用次数: 0

Bioactive Compound and Rubisco Analyses of Leaf and Seed Extracts of Sesamum indicum 芝麻叶和种子提取物的生物活性化合物及Rubisco分析

2019 15th International Conference on Electronics, Computer and Computation (ICECCO) Pub Date : 2019-12-01 DOI: 10.1109/ICECCO48375.2019.9043249

Salma I. Babani, C. C. Ogbaga, D. Okolo, G. Mangse

{"title":"Bioactive Compound and Rubisco Analyses of Leaf and Seed Extracts of Sesamum indicum","authors":"Salma I. Babani, C. C. Ogbaga, D. Okolo, G. Mangse","doi":"10.1109/ICECCO48375.2019.9043249","DOIUrl":"https://doi.org/10.1109/ICECCO48375.2019.9043249","url":null,"abstract":"Sesamum indicum is an oil-rich plant that is moderately drought tolerant. The leaves and seeds are used for the preparation of local soups in Nigeria. There is a need to understand the traits possessed by this plant in order to improve its production in a developing country like Nigeria. In this study, the bioactive compounds and Rubisco content of the leaf and seed were investigated using standard techniques of aqueous, ethanol and DNA extractions. The leaf and seed differed in the bioactive compounds with saponins, glycosides, alkaloids, and tannins present in both samples. However, steroids and quinones were absent in both samples. The study also revealed a great variation in the Rubisco and DNA contents of the leaf and seed. Rubisco content was higher in the leaf relative to the seeds whilst DNA was lower in the leaf relative to the seeds. Overall, the study provided new insights into the bioactive compounds present in the leaf and seeds. It also showed that under normal growth conditions, there is a higher Rubisco gene in the leaf of this moderate drought tolerant plant relative to the seeds. The implications of these variations are discussed in relation to nutrition and carbon storage.","PeriodicalId":166322,"journal":{"name":"2019 15th International Conference on Electronics, Computer and Computation (ICECCO)","volume":"139 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127462626","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

Real-time Pipeline Vandalism Detection Using Open-Circuit Technique 基于开路技术的管道破坏实时检测

2019 15th International Conference on Electronics, Computer and Computation (ICECCO) Pub Date : 2019-12-01 DOI: 10.1109/ICECCO48375.2019.9043222

Asim Balarabe Yazid, J. Chijioke, Moussa Boukar Mahamat, Hamisu Ismail Ahmad, V. Anye, M. Zakariya

{"title":"Real-time Pipeline Vandalism Detection Using Open-Circuit Technique","authors":"Asim Balarabe Yazid, J. Chijioke, Moussa Boukar Mahamat, Hamisu Ismail Ahmad, V. Anye, M. Zakariya","doi":"10.1109/ICECCO48375.2019.9043222","DOIUrl":"https://doi.org/10.1109/ICECCO48375.2019.9043222","url":null,"abstract":"Pipeline vandalism has been a problem to Nigeria for many decades, Nigeria suffered loss of oil revenue as a result of lingering menace of oil pipeline and oil theft. Aside the loss of money from oil theft and leak, cost of pipeline repairs and damage to the environment and ecosystem are other devastating negative consequences posed by pipeline breaks, whether naturally occurring or caused by man. Many of the techniques proposed by researchers are infeasible and very costly. In this research, we propose a moderately cheap, environmental-friendly, and simple method of monitoring pipeline. Pipelines are independently coated using socket switching and proximity sensors. Attempts to open the enclosure or break the pipeline will first trigger the proximity sensors, which in their normal state have a HIGH signal. By triggering the alarm when there is no obstruction detected, the proximity sensors used operate in reverse. Independently, if the pipeline breaks inside an open-circuit is created which triggers the annunciator. Through the proximity sensor, this technique will be able to detect an attack before occurrence based on the notion that to access the pipeline the protective layer must first be removed. Ultimately, the real-time location of ongoing vandalism will be tracked and transmitted. The system has shown promising result in attempt to combat pipeline vandalism and oil theft.","PeriodicalId":166322,"journal":{"name":"2019 15th International Conference on Electronics, Computer and Computation (ICECCO)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130294088","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

Greenhouse Monitoring and Control System with an Arduino System 基于Arduino系统的温室监控系统

2019 15th International Conference on Electronics, Computer and Computation (ICECCO) Pub Date : 2019-12-01 DOI: 10.1109/ICECCO48375.2019.9043188

Aisha Yahaya, Yusuf Aleshinloye Abass, Steve A. Adeshina

引用次数: 1

Transfer Learning Based Histopathologic Image Classification for Burns Recognition 基于迁移学习的组织病理图像分类在烧伤识别中的应用

2019 15th International Conference on Electronics, Computer and Computation (ICECCO) Pub Date : 2019-12-01 DOI: 10.1109/ICECCO48375.2019.9043205

Aliyu Abubakar, H. Ugail, A. M. Bukar, Ali Ahmad Aminu, Ahmad Musa

引用次数: 2

Design Of A Green Iot Based Water Monitoring System For Metropolitan City. 基于绿色物联网的大都市水监测系统设计。

2019 15th International Conference on Electronics, Computer and Computation (ICECCO) Pub Date : 2019-12-01 DOI: 10.1109/ICECCO48375.2019.9043294

E. Michael, J. Agajo, O. Osanaiye, A. M. Oyinbo

引用次数: 0

Characterisation of Critical Infrastructure Organisation in Nigeria 尼日利亚关键基础设施组织的特征

2019 15th International Conference on Electronics, Computer and Computation (ICECCO) Pub Date : 2019-12-01 DOI: 10.1109/ICECCO48375.2019.9043210

U. Mbanaso, V. Kulugh, J. Makinde

{"title":"Characterisation of Critical Infrastructure Organisation in Nigeria","authors":"U. Mbanaso, V. Kulugh, J. Makinde","doi":"10.1109/ICECCO48375.2019.9043210","DOIUrl":"https://doi.org/10.1109/ICECCO48375.2019.9043210","url":null,"abstract":"This paper presents the characterisation of critical infrastructures in Nigeria as an initial step towards development of a framework for the uniform designation of an infrastructure as a Critical National Information Infrastructure (CNII) in Nigeria. Notably, there is no globally acceptable criteria for the designation of an infrastructure as Critical National Infrastructure (CNI) or CNII. However, there is a consensus that CNIs are vital for a modern society, and drives economic growths and national prosperity. Although there are similarities in such infrastructures worldwide, every nation determines the value to attach to each CNI depending on its developmental goal, priorities and the level of dependency on such infrastructure. In Nigeria, there is no publicly available information on the categorisation of infrastructures as CNI or CNII. The mythological approach adopted was document scan, analysis and synthesis of publicly available information on CNI and CNII of some selected countries, followed by a comparative analysis. Five countries were selected from each of the six continents based on population size and adoption of Information and Communications Technology (ICT). The findings revealed that about 90% of the countries studied categorised energy, transportation, water, communications and health as sectors of CNI. Conceptually, based on the outcome, CNIs in Nigeria were characterised into twelve critical sectors. This initial study forms the first step towards development of a framework for the correct designation of an infrastructure as a CNII in Nigeria as opposed to arbitrary designation.","PeriodicalId":166322,"journal":{"name":"2019 15th International Conference on Electronics, Computer and Computation (ICECCO)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115629109","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

Human Detection For Crowd Count Estimation Using CSI of WiFi Signals 基于WiFi信号CSI的人群计数估计的人类检测

2019 15th International Conference on Electronics, Computer and Computation (ICECCO) Pub Date : 2019-12-01 DOI: 10.1109/ICECCO48375.2019.9043195

Omotayo Oshiga, Hussein U. Suleiman, Sadiq Thomas, P. Nzerem, Labaran Farouk, Steve A. Adeshina

{"title":"Human Detection For Crowd Count Estimation Using CSI of WiFi Signals","authors":"Omotayo Oshiga, Hussein U. Suleiman, Sadiq Thomas, P. Nzerem, Labaran Farouk, Steve A. Adeshina","doi":"10.1109/ICECCO48375.2019.9043195","DOIUrl":"https://doi.org/10.1109/ICECCO48375.2019.9043195","url":null,"abstract":"We address the problem of crowd estimation in situations such as indoor events using anonymous and non-participatory CSI of WiFi Signals. Observing the great resemblance of Channel State Information (CSI, a finegrained information captured from the received Wi-Fi signal) to texture, we propose a brand-new framework based on statistical mechanics, and relying only on sets of machine learning techniques.In this paper, a framework for crowd count estimation is presented which utilizes Chebyshev filter and SVD to remove background noise in the CSI data, PCA to reduce the dimensionality of the CSI data and spectral descriptors for feature extraction. From the extracted feature, a set of classiffying algorithms are then utilised for training and testing the accuracy of our crowd estimation framework The aim of this framework to effectively and efficiently extract the channel information in WiFi signals across OFDM carriers reflected by the presence of human bodies. From the experiments conducted, we demonstrate the feasibility and efficacy of the proposed framework. Our result depict that our estimation becomes more–rather than less–accurate when the crowd count increases.","PeriodicalId":166322,"journal":{"name":"2019 15th International Conference on Electronics, Computer and Computation (ICECCO)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125422191","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: 9