Pub Date : 2018-12-01DOI: 10.1109/ICONIC.2018.8601086
G. Mosweunyane, N. Motlogelwa, G. Malema
Model curricula such as ACM/IEEE recommend that characteristics of students graduating in Computer Science should include project experience. In line with these recommendations, students in their fourth year of undergraduate study in the Computer Science department at the University of Botswana have to complete a major project as part of fulfilling the requirements for the award of a degree. The project gives students the opportunity to implement some of the theories and techniques learnt during the course of their programme of study. Students‘ choice of project topics therefore heavily depends on what the curriculum offers in terms of diversity of course content and techniques taught. This paper presents an analysis of 154 students’ projects in the Computer Science department at the University of Botswana for the period 2013–2016 with a particular focus on the topic trends and issues of diversity and relevance to both the local and international context. The topics’ list is categorized using the Agglomerative Hierarchical Clustering method. The analysis of titles and abstracts shows an inclination towards web-based systems and mobile applications that are relevant to the local context. Also, the titles and abstracts do not reveal core Computer Science areas such as algorithms, machine learning and security. Trending topics in Computing, which are also typically done as project topics, also seem not to feature. To reveal an effective categorization and assess comparability to international trends the rest of entire project document (body) needs to be analysed.
{"title":"A Survey of Undergraduate Project Topics in Computer Science at the University of Botswana","authors":"G. Mosweunyane, N. Motlogelwa, G. Malema","doi":"10.1109/ICONIC.2018.8601086","DOIUrl":"https://doi.org/10.1109/ICONIC.2018.8601086","url":null,"abstract":"Model curricula such as ACM/IEEE recommend that characteristics of students graduating in Computer Science should include project experience. In line with these recommendations, students in their fourth year of undergraduate study in the Computer Science department at the University of Botswana have to complete a major project as part of fulfilling the requirements for the award of a degree. The project gives students the opportunity to implement some of the theories and techniques learnt during the course of their programme of study. Students‘ choice of project topics therefore heavily depends on what the curriculum offers in terms of diversity of course content and techniques taught. This paper presents an analysis of 154 students’ projects in the Computer Science department at the University of Botswana for the period 2013–2016 with a particular focus on the topic trends and issues of diversity and relevance to both the local and international context. The topics’ list is categorized using the Agglomerative Hierarchical Clustering method. The analysis of titles and abstracts shows an inclination towards web-based systems and mobile applications that are relevant to the local context. Also, the titles and abstracts do not reveal core Computer Science areas such as algorithms, machine learning and security. Trending topics in Computing, which are also typically done as project topics, also seem not to feature. To reveal an effective categorization and assess comparability to international trends the rest of entire project document (body) needs to be analysed.","PeriodicalId":277315,"journal":{"name":"2018 International Conference on Intelligent and Innovative Computing Applications (ICONIC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125548302","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}
Pub Date : 2018-12-01DOI: 10.1109/ICONIC.2018.8601232
Bhekisisa Nyoni, M. Nleya, B. Mtunzi
This prototype system known as the Wearable Instantaneous Ball Speed Estimator (WIBASE) was designed to measure the bowling speed of a cricketer during training. When fast bowlers are training, coaches have to assess their ability to bowl consistently fast balls even when they are required to perform long bowling spells, hence the need for reliable, accessible and affordable equipment for measuring their bowling speed cannot be over emphasised. The WIBASE seeks to fill in this gap. It is made up of two hardware components; a computer and a wrist-worn electronic board that houses among other components, a 3-dimensional (3D) acceleration sensor. The system tracks the three-axis acceleration generated by the movement of the arm when delivering the ball and stores these values. The raw sensor data from three different sensors namely accelerometer, gyroscope and magnetometer is processed by a Digital Motion Processor (DMP) on the board in a process known as Sensor Fusion before it is sent via Bluetooth to the computer. The computer runs a Python script that receives the filtered acceleration which consists of both static acceleration and dynamic acceleration. The acceleration is numerically integrated over a minute period of time around the release point using the Trapezoidal method of integrating numerical data to derive the speed of the cricket bowler. The results obtained from the three sets of experiments that were conducted show that the WIBASE can track the 3D acceleration of the hand when bowling, derive the speed of the bowlers and display the speed on a computer while logging all the data into a file.
{"title":"A Training Utility for Estimating the Bowling Speed of a Cricketer Using Accelerometer Data","authors":"Bhekisisa Nyoni, M. Nleya, B. Mtunzi","doi":"10.1109/ICONIC.2018.8601232","DOIUrl":"https://doi.org/10.1109/ICONIC.2018.8601232","url":null,"abstract":"This prototype system known as the Wearable Instantaneous Ball Speed Estimator (WIBASE) was designed to measure the bowling speed of a cricketer during training. When fast bowlers are training, coaches have to assess their ability to bowl consistently fast balls even when they are required to perform long bowling spells, hence the need for reliable, accessible and affordable equipment for measuring their bowling speed cannot be over emphasised. The WIBASE seeks to fill in this gap. It is made up of two hardware components; a computer and a wrist-worn electronic board that houses among other components, a 3-dimensional (3D) acceleration sensor. The system tracks the three-axis acceleration generated by the movement of the arm when delivering the ball and stores these values. The raw sensor data from three different sensors namely accelerometer, gyroscope and magnetometer is processed by a Digital Motion Processor (DMP) on the board in a process known as Sensor Fusion before it is sent via Bluetooth to the computer. The computer runs a Python script that receives the filtered acceleration which consists of both static acceleration and dynamic acceleration. The acceleration is numerically integrated over a minute period of time around the release point using the Trapezoidal method of integrating numerical data to derive the speed of the cricket bowler. The results obtained from the three sets of experiments that were conducted show that the WIBASE can track the 3D acceleration of the hand when bowling, derive the speed of the bowlers and display the speed on a computer while logging all the data into a file.","PeriodicalId":277315,"journal":{"name":"2018 International Conference on Intelligent and Innovative Computing Applications (ICONIC)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126377610","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}
Pub Date : 2018-12-01DOI: 10.1109/ICONIC.2018.8601255
Olawuyi O. Fatoki, S. Ojo, P. Owolawi, T. Mapayi
Glaucoma, one of the major causes of blindness, has been identified as a disease that causes the degeneration of the optic disc. An highly accurate automated detection of the optic disc (OD) has however been noted to be of great importance for the efficient diagnosis of the disease. This paper presents a study on an unsupervised approach usage of Haralick Correlation texture feature for the segmentation of optic disc in colored fundus retinal images. The grayscale and green channel of the colored fundus image are investigated. When compared with some methods in the literature, the experimental study of the proposed method achieved very high average accuracy rates of 98.59% and 98.36% using grayscale and green channel of the colored fundus image respectively on DRIVE database.
{"title":"Optic Disc Segmentation Based on Correlation Feature Information","authors":"Olawuyi O. Fatoki, S. Ojo, P. Owolawi, T. Mapayi","doi":"10.1109/ICONIC.2018.8601255","DOIUrl":"https://doi.org/10.1109/ICONIC.2018.8601255","url":null,"abstract":"Glaucoma, one of the major causes of blindness, has been identified as a disease that causes the degeneration of the optic disc. An highly accurate automated detection of the optic disc (OD) has however been noted to be of great importance for the efficient diagnosis of the disease. This paper presents a study on an unsupervised approach usage of Haralick Correlation texture feature for the segmentation of optic disc in colored fundus retinal images. The grayscale and green channel of the colored fundus image are investigated. When compared with some methods in the literature, the experimental study of the proposed method achieved very high average accuracy rates of 98.59% and 98.36% using grayscale and green channel of the colored fundus image respectively on DRIVE database.","PeriodicalId":277315,"journal":{"name":"2018 International Conference on Intelligent and Innovative Computing Applications (ICONIC)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126484298","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}
Pub Date : 2018-12-01DOI: 10.1109/ICONIC.2018.8601282
Chitra Nundlall, Gopal Sohun, S. Nagowah
Recommender systems are engines that recommend new items to users by analyzing their preferences. The web contains a large amount of information in the form of ratings, reviews, feedback on items and other unstructured data. These details are extracted to get meaningful information of users. Collaborative filtering and content-based filtering are two common approaches being used to make recommendations. The paper aims to introduce a hybrid recommendation technique for Big Data Systems. The approach combines collaborative and content-based filtering techniques to recommend items that a user would most likely prefer. It additionally uses items ranking and classification technique for recommending the items. Moreover, social media opinion mining is added as a top-up to derive user sentiments from user’s posts and become knowledgeable about users’ tastes hidden within social media. A prototype has been implemented and evaluated based on the recommendation techniques.
{"title":"A Hybrid Recommendation Technique for Big Data Systems","authors":"Chitra Nundlall, Gopal Sohun, S. Nagowah","doi":"10.1109/ICONIC.2018.8601282","DOIUrl":"https://doi.org/10.1109/ICONIC.2018.8601282","url":null,"abstract":"Recommender systems are engines that recommend new items to users by analyzing their preferences. The web contains a large amount of information in the form of ratings, reviews, feedback on items and other unstructured data. These details are extracted to get meaningful information of users. Collaborative filtering and content-based filtering are two common approaches being used to make recommendations. The paper aims to introduce a hybrid recommendation technique for Big Data Systems. The approach combines collaborative and content-based filtering techniques to recommend items that a user would most likely prefer. It additionally uses items ranking and classification technique for recommending the items. Moreover, social media opinion mining is added as a top-up to derive user sentiments from user’s posts and become knowledgeable about users’ tastes hidden within social media. A prototype has been implemented and evaluated based on the recommendation techniques.","PeriodicalId":277315,"journal":{"name":"2018 International Conference on Intelligent and Innovative Computing Applications (ICONIC)","volume":"66 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120904651","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}
Pub Date : 2018-12-01DOI: 10.1109/ICONIC.2018.8601254
L. Zulu, K. Ogudo, P. Umenne
In this paper, a Software Defined Network was created in Mininet using python script. An external interface was added in the form of an OpenDaylight controller to enable communication with the network outside of Mininet. The OpenDaylight controller was hosted on the Amazon Web Services elastic computing node. This controller is used as a control plane device for the switch within Mininet. The OpenDaylight controller was able to create the flows to facilitate communication between the hosts in Mininet and the webserver in the real-life network. In order to test the network, a real life network in the form of a webserver hosted on the Emulated Virtual Environment – Next Generation (EVE-NG) software was connected to Mininet.
在本文中，使用python脚本在Mininet中创建了一个软件定义网络。以OpenDaylight控制器的形式添加了一个外部接口，以便与Mininet外部的网络进行通信。OpenDaylight控制器托管在Amazon Web Services弹性计算节点上。该控制器用作Mininet内部交换机的控制平面设备。OpenDaylight控制器能够创建流，以促进Mininet主机与现实网络中的web服务器之间的通信。为了测试网络，一个现实生活中的网络以托管在模拟虚拟环境-下一代(EVE-NG)软件上的web服务器的形式连接到Mininet。
{"title":"Emulating Software Defined Network Using Mininet and OpenDaylight Controller Hosted on Amazon Web Services Cloud Platform to Demonstrate a Realistic Programmable Network","authors":"L. Zulu, K. Ogudo, P. Umenne","doi":"10.1109/ICONIC.2018.8601254","DOIUrl":"https://doi.org/10.1109/ICONIC.2018.8601254","url":null,"abstract":"In this paper, a Software Defined Network was created in Mininet using python script. An external interface was added in the form of an OpenDaylight controller to enable communication with the network outside of Mininet. The OpenDaylight controller was hosted on the Amazon Web Services elastic computing node. This controller is used as a control plane device for the switch within Mininet. The OpenDaylight controller was able to create the flows to facilitate communication between the hosts in Mininet and the webserver in the real-life network. In order to test the network, a real life network in the form of a webserver hosted on the Emulated Virtual Environment – Next Generation (EVE-NG) software was connected to Mininet.","PeriodicalId":277315,"journal":{"name":"2018 International Conference on Intelligent and Innovative Computing Applications (ICONIC)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116597272","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}
Pub Date : 2018-12-01DOI: 10.1109/ICONIC.2018.8601295
H. Charlotte, Rondelli Solène, Ivan Coste-Manière, Farbos Laura, Malenge Emmanuelle
The purpose of this article is to analyze the power of WeChat and question ourselves on the hypothetical expansion. We discovered WeChat by living in China. For us, it is an application which gather everything. It is Instagram, Facebook, Twitter in just one app. But since we are living in a world with so many differences and different laws, we want to know if this app can really encounter the same success in different countries. WeChat has a big place in the life of Chinese people and this is something which is very interesting. Everything is around this app. The payment method, the social life and the way of interacting with people in general. We decided to split our study in three parts in order to answer the problematic.
{"title":"WeChat®: The Present and the Future","authors":"H. Charlotte, Rondelli Solène, Ivan Coste-Manière, Farbos Laura, Malenge Emmanuelle","doi":"10.1109/ICONIC.2018.8601295","DOIUrl":"https://doi.org/10.1109/ICONIC.2018.8601295","url":null,"abstract":"The purpose of this article is to analyze the power of WeChat and question ourselves on the hypothetical expansion. We discovered WeChat by living in China. For us, it is an application which gather everything. It is Instagram, Facebook, Twitter in just one app. But since we are living in a world with so many differences and different laws, we want to know if this app can really encounter the same success in different countries. WeChat has a big place in the life of Chinese people and this is something which is very interesting. Everything is around this app. The payment method, the social life and the way of interacting with people in general. We decided to split our study in three parts in order to answer the problematic.","PeriodicalId":277315,"journal":{"name":"2018 International Conference on Intelligent and Innovative Computing Applications (ICONIC)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133534754","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}
Pub Date : 2018-12-01DOI: 10.1109/ICONIC.2018.8601290
Sepeke B. Kgope, K. Ogudo
The paper proposes a design and prototyping of an intelligent electronic control unit system intended for the implementation of smart home in urban and rural areas, with the intention to control and monitor energy usage by household electrical appliances. Measurement, verification of power usage, and automated efficient use of Solar power as substitute of primary power supply (Eskom power supply) in South Africa in order to reduce the high energy demand on the national grid and create low cost affordable energy to the consumers. The proposed wireless energy management system will incorporate and interface with the distribution Box (D-Box) with intelligent electronic and digital system unit with the purpose to detect presence or absence of primary power (Eskom) integrated together with solar power as alternative power supply to manage available power efficiently for free or at low cost.
{"title":"Development of a Wireless Intelligent Electronic Control System GSM/GPRS Unit Module Configuration for Smart Home Efficient Energy Management System","authors":"Sepeke B. Kgope, K. Ogudo","doi":"10.1109/ICONIC.2018.8601290","DOIUrl":"https://doi.org/10.1109/ICONIC.2018.8601290","url":null,"abstract":"The paper proposes a design and prototyping of an intelligent electronic control unit system intended for the implementation of smart home in urban and rural areas, with the intention to control and monitor energy usage by household electrical appliances. Measurement, verification of power usage, and automated efficient use of Solar power as substitute of primary power supply (Eskom power supply) in South Africa in order to reduce the high energy demand on the national grid and create low cost affordable energy to the consumers. The proposed wireless energy management system will incorporate and interface with the distribution Box (D-Box) with intelligent electronic and digital system unit with the purpose to detect presence or absence of primary power (Eskom) integrated together with solar power as alternative power supply to manage available power efficiently for free or at low cost.","PeriodicalId":277315,"journal":{"name":"2018 International Conference on Intelligent and Innovative Computing Applications (ICONIC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133562291","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}
Pub Date : 2018-12-01DOI: 10.1109/ICONIC.2018.8601244
S. Ntsaluba, E. Malatji
In residential buildings, various factors often have a significant impact on a building’s energy consumption. This paper aims to utilize various existing models to evaluate the sensitivity and influence of each of these factors on the building’s energy usage. The factors considered include: average temperature, heating degree days (HDD), cooling degree days (CDD), number of workdays, number of nonworkdays and building occupancy. The models considered were: linear two variable and multivariable regression, exponential regression and polynomial regression. The data used for the modeling was that of the energy usage of all the residences of a South African University, during the 2017 academic year. The results of this study revealed that the models developed using polynomial regression produced coefficient of determination (R2 ) values ranging from 0.7 to 0.89 in the case of temperature and occupancy, and 0.39-0.69 in the case of workdays and non-workdays, which were the highest model accuracies when compared to those of other models. Analysis of the results also revealed that certain factors such as building occupancy had a greater correlation to the building energy usage. The final model developed (A linear multivariable regression model) achieved an R2 value of 0.95 indicating the model’s high accuracy in predicting the dependent variable (energy consumption) using the factors indicated as independent variables to the model.
{"title":"Energy Usage Modelling for Residences of a South African Academic Institution","authors":"S. Ntsaluba, E. Malatji","doi":"10.1109/ICONIC.2018.8601244","DOIUrl":"https://doi.org/10.1109/ICONIC.2018.8601244","url":null,"abstract":"In residential buildings, various factors often have a significant impact on a building’s energy consumption. This paper aims to utilize various existing models to evaluate the sensitivity and influence of each of these factors on the building’s energy usage. The factors considered include: average temperature, heating degree days (HDD), cooling degree days (CDD), number of workdays, number of nonworkdays and building occupancy. The models considered were: linear two variable and multivariable regression, exponential regression and polynomial regression. The data used for the modeling was that of the energy usage of all the residences of a South African University, during the 2017 academic year. The results of this study revealed that the models developed using polynomial regression produced coefficient of determination (R2 ) values ranging from 0.7 to 0.89 in the case of temperature and occupancy, and 0.39-0.69 in the case of workdays and non-workdays, which were the highest model accuracies when compared to those of other models. Analysis of the results also revealed that certain factors such as building occupancy had a greater correlation to the building energy usage. The final model developed (A linear multivariable regression model) achieved an R2 value of 0.95 indicating the model’s high accuracy in predicting the dependent variable (energy consumption) using the factors indicated as independent variables to the model.","PeriodicalId":277315,"journal":{"name":"2018 International Conference on Intelligent and Innovative Computing Applications (ICONIC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116322586","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}
Pub Date : 2018-12-01DOI: 10.1109/ICONIC.2018.8601224
Waseem Ahmad Nosimohomed
Traditionally, for a radial low-voltage (LV) distribution network serving residential loads, it was simpler for the electric utility to predict the demand and adjust the generation from power plants accordingly, thus offering a high reliability of supply. However, with the increasing penetration of photovoltaics (PV) on rooftops of residential houses, it has become difficult to ensure the same reliability without the performance of the distribution network being affected. At times of low loads in residential houses, PV systems will inject power upstream of the host LV network and affect the behavior of the distribution network. In this paper, an LV distribution feeder in Mauritius has been modelled on DigSILENT Power Factory software to simulate how the network performance is affected under high PV penetration. Novel indices were developed for analyzing grid behavior in terms of maximum voltage variation from nominal value, average feeder loading, feeder losses, and transformer reserve. These performance indices were evaluated against three different voltage control strategies of PV inverters in order to choose the best one which will optimize the performance of the network. Furthermore, variations in the loads and PV generation over a 24-hour period were also considered in the performance analysis of the grid.
传统上，对于服务于居民负荷的径向低压配电网，电力公司更容易预测需求并相应地调整发电厂的发电量，从而提供高可靠性的供电。然而，随着光伏在住宅屋顶上的普及，在不影响配电网性能的情况下保证相同的可靠性变得越来越困难。在住宅低负荷时，光伏系统将向主机低压电网上游注入电力，影响配电网的行为。本文采用DigSILENT Power Factory软件对毛里求斯的低压配电馈线进行建模，以模拟高光伏渗透率下网络性能的影响。开发了新的指标来分析电网行为的最大电压变化从标称值，平均馈线负荷，馈线损耗和变压器储备。针对三种不同的电压控制策略对这些性能指标进行了评估，以选择最优的电压控制策略来优化电网的性能。此外，在电网性能分析中也考虑了24小时内负荷和光伏发电的变化。
{"title":"Performance Analysis of Distribution Networks under high Penetration of Photovoltaics in Mauritius","authors":"Waseem Ahmad Nosimohomed","doi":"10.1109/ICONIC.2018.8601224","DOIUrl":"https://doi.org/10.1109/ICONIC.2018.8601224","url":null,"abstract":"Traditionally, for a radial low-voltage (LV) distribution network serving residential loads, it was simpler for the electric utility to predict the demand and adjust the generation from power plants accordingly, thus offering a high reliability of supply. However, with the increasing penetration of photovoltaics (PV) on rooftops of residential houses, it has become difficult to ensure the same reliability without the performance of the distribution network being affected. At times of low loads in residential houses, PV systems will inject power upstream of the host LV network and affect the behavior of the distribution network. In this paper, an LV distribution feeder in Mauritius has been modelled on DigSILENT Power Factory software to simulate how the network performance is affected under high PV penetration. Novel indices were developed for analyzing grid behavior in terms of maximum voltage variation from nominal value, average feeder loading, feeder losses, and transformer reserve. These performance indices were evaluated against three different voltage control strategies of PV inverters in order to choose the best one which will optimize the performance of the network. Furthermore, variations in the loads and PV generation over a 24-hour period were also considered in the performance analysis of the grid.","PeriodicalId":277315,"journal":{"name":"2018 International Conference on Intelligent and Innovative Computing Applications (ICONIC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121350211","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}
Pub Date : 2018-12-01DOI: 10.1109/ICONIC.2018.8601248
K. Gopal, C. P. Khedun, Anoop Sohun
Mauritius suffers from chronic water shortages that can severely impact its economy and the well-being of its population. Both surface and groundwater availability are determined by rainfall, which is in turn influenced by large-scale circulation patterns such as the El Niño Southern Oscillation (ENSO) and the Indian Ocean Dipole (IOD). Here we report on the influence of these two teleconnection patterns and present the result of a simple neural network for precipitation forecasting, based on the state of ENSO and IOD. Data from the Vacaos station, for the period 1961 to 2012 is used. We found statistically significant correlation between average winter rainfall and ENSO and IOD indices. The correlation for summer was negligible. The prediction of summer precipitation was less accurate than that of winter precipitation. The findings from this study can help in more efficient planning and management of water resources on the island.
{"title":"Modeling the Influence of Large-Scale Circulation Patterns on Precipitation in Mauritius","authors":"K. Gopal, C. P. Khedun, Anoop Sohun","doi":"10.1109/ICONIC.2018.8601248","DOIUrl":"https://doi.org/10.1109/ICONIC.2018.8601248","url":null,"abstract":"Mauritius suffers from chronic water shortages that can severely impact its economy and the well-being of its population. Both surface and groundwater availability are determined by rainfall, which is in turn influenced by large-scale circulation patterns such as the El Niño Southern Oscillation (ENSO) and the Indian Ocean Dipole (IOD). Here we report on the influence of these two teleconnection patterns and present the result of a simple neural network for precipitation forecasting, based on the state of ENSO and IOD. Data from the Vacaos station, for the period 1961 to 2012 is used. We found statistically significant correlation between average winter rainfall and ENSO and IOD indices. The correlation for summer was negligible. The prediction of summer precipitation was less accurate than that of winter precipitation. The findings from this study can help in more efficient planning and management of water resources on the island.","PeriodicalId":277315,"journal":{"name":"2018 International Conference on Intelligent and Innovative Computing Applications (ICONIC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125075828","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}
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