Nalina Suresh - Academia.edu (original) (raw)

Books by Nalina Suresh

Research paper thumbnail of Unleashing the Convergence of Cloud Computing With Internet of Things: Drivers for Integration

IGI Global, 2021

The term "cloud of things" is currently in the forefront of computer research topics due to its v... more The term "cloud of things" is currently in the forefront of computer research topics due to its vital role towards the internet of things. To integrate cloud computing and internet of things into a single technology or worldview, this chapter discussed the evolution of internet of things and cloud computing and reviewed literature on cloud computing and internet of things and their possible integration. The chapter also discussed the importance of cloud internet of things, its architecture, and operation; the need to integrate internet of things and cloud computing; and challenges of cloud internet of things. The chapter then used the identified open issues and future direction to propose a generic cloud internet of things architecture and pilot simulated the results to verify the possibility and effectiveness of cloud computing and internet of things (CIoTs) integration. The researchers believe that the chapter will provide a better insight for anyone who wishes to carry out research in the field of cloud internet of things.

Conference Presentations by Nalina Suresh

Research paper thumbnail of Enhanced Corporate Network Management using Software Defined Network: The Case of Salt Essential, Namibia

IST AFRICA, 2021

Management of the traditional methods and techniques of the network seems to be ineffective. This... more Management of the traditional methods and techniques of the network seems to be ineffective. This is even more critical in data centres, where the network must always perform at its optimal level to ensure the availability of data and services to the clients. Configuration and maintenance of all kinds of networks, including data centres is tedious, especially when done manually and hence could possibly result in errors and vulnerabilities in the networks. In this research, a network simulation was applied to demonstrate how network management can be centrally administered using the Software Defined Network (SDN) as a way to overcome the said challenges. To actualize the simulation, the Mininet and OpenDayLight were used in the simulations and showed how SDN can be used for network management. The research demonstrated key insights into how networking can be centrally administered with SDN to overcome the challenges associated with traditional network administration.

Papers by Nalina Suresh

Research paper thumbnail of Valerianus Hashiyana, Nalina Suresh and Abel Natangwe Mwedihanga

Zenodo (CERN European Organization for Nuclear Research), May 24, 2023

Climate services involve the timely production, translation, and delivery of useful climate data,... more Climate services involve the timely production, translation, and delivery of useful climate data, information and knowledge for societal decision making. In order to create climate services for farmers that are truly integrated with user-centric design into the development process in an African context, the study has finished an important and crucial step by conducting a literature review and designing a prototype for the application. The goal of this study was to create climate services for farmers in an African context that are genuinely integrated with user-centric design. This led to the co-design and development and integration of a mobile application that provide climate and weather information as well as agricultural information for the main crops such millet, maize and sorghum. The research applied using qualitative research using interview with 3 farmers in the field using random sampling with the approach to inform the study. A survey has been administered to find out how people understand climate services, Agro meteorology and help enhance the mobile application's user experience. A Results shows that farmers are determined and ready to use and excited with the application. These innovations helped farmers to reduce the cost, increase crop capacity and profit. A hypothesis was set that there is a need for integrating AI into a farmer's application for making farming process more progressive and efficient farming and the integration of Market Place (MP) for farmer's application to market and sell their product the integration of notification system that allows farmers to receive real-time data and IOT for real-time data. The data collected and the survey results demonstrated that the research objectives were being met. The study aims to develop the application that would be scalable, durable and fault tolerant for farmers to use the application successfully.

Research paper thumbnail of The Development of Climate Agrometeorological Application for Farmers in Namibia

International Journal of Computer Science and Information Technology, Apr 29, 2023

Climate services involve the timely production, translation, and delivery of useful climate data,... more Climate services involve the timely production, translation, and delivery of useful climate data, information and knowledge for societal decision making. In order to create climate services for farmers that are truly integrated with user-centric design into the development process in an African context, the study has finished an important and crucial step by conducting a literature review and designing a prototype for the application. The goal of this study was to create climate services for farmers in an African context that are genuinely integrated with user-centric design. This led to the co-design and development and integration of a mobile application that provide climate and weather information as well as agricultural information for the main crops such millet, maize and sorghum. The research applied using qualitative research using interview with 3 farmers in the field using random sampling with the approach to inform the study. A survey has been administered to find out how people understand climate services, Agro meteorology and help enhance the mobile application's user experience. A Results shows that farmers are determined and ready to use and excited with the application. These innovations helped farmers to reduce the cost, increase crop capacity and profit. A hypothesis was set that there is a need for integrating AI into a farmer's application for making farming process more progressive and efficient farming and the integration of Market Place (MP) for farmer's application to market and sell their product the integration of notification system that allows farmers to receive real-time data and IOT for real-time data. The data collected and the survey results demonstrated that the research objectives were being met. The study aims to develop the application that would be scalable, durable and fault tolerant for farmers to use the application successfully.

Research paper thumbnail of Application of machine learning classification for structural brain MRI in mood disorders: Critical review from a clinical perspective

Progress in neuro-psychopharmacology & biological psychiatry, Jan 3, 2018

Mood disorders are a highly prevalent group of mental disorders causing substantial socioeconomic... more Mood disorders are a highly prevalent group of mental disorders causing substantial socioeconomic burden. There are various methodological approaches for identifying the underlying mechanisms of the etiology, symptomatology, and therapeutics of mood disorders; however, neuroimaging studies have provided the most direct evidence for mood disorder neural substrates by visualizing the brains of living individuals. The prefrontal cortex, hippocampus, amygdala, thalamus, ventral striatum, and corpus callosum are associated with depression and bipolar disorder. Identifying the distinct and common contributions of these anatomical regions to depression and bipolar disorder have broadened and deepened our understanding of mood disorders. However, the extent to which neuroimaging research findings contribute to clinical practice in the real-world setting is unclear. As traditional or non-machine learning MRI studies have analyzed group-level differences, it is not possible to directly transl...

Research paper thumbnail of Modelling and optimizing software quality

International Journal of Quality & Reliability Management, 1996

... Nalina Suresh, University of Wisconsin-Eau Claire, Eau Claire, Wisconsin, USA. Abstract. ...S... more ... Nalina Suresh, University of Wisconsin-Eau Claire, Eau Claire, Wisconsin, USA. Abstract. ...Suresh, N., Babu, AJG (1992), "Software quality optimization: a linear programming model", Association of Management Proceedings, Vol. 10 No.2, pp.168-74. ...

Research paper thumbnail of A software reliability growth model

International Journal of Quality & Reliability Management, 1996

Most of the existing software reliability models assume time between failures to follow an expone... more Most of the existing software reliability models assume time between failures to follow an exponential distribution. Develops a reliability growth model based on non‐homogeneous Poisson process with intensity function given by the power law, to predict the reliability of a software. Several authors have suggested the use of the non‐homogeneous Poisson process to assess the reliability growth of software and to predict their failure behaviour. Inference procedures considered by these authors have been Bayesian in nature. Uses an unbiased estimate of the failure rate for prediction. Compares the performance of this model with Bayes empirical‐Bayes models and a time series model. The model developed is realistic, easy to use, and gives a better prediction of reliability of a software.

Research paper thumbnail of Software reliability estimation and optimization

International Journal of Quality & Reliability Management, 1997

Considers an extension of the non‐homogeneous Poisson process to describe the software failure pr... more Considers an extension of the non‐homogeneous Poisson process to describe the software failure process more appropriately. This extension introduces a new structure for the intensity function of the non‐homogeneous Poisson process. Using this intensity function, develops a mathematical model to determine the optimal allocation of resources to be spent during the development to maximize the reliability within a budget.

Research paper thumbnail of Project management with time, cost, and quality considerations

European Journal of Operational Research, 1996

In the project management literature, quantitative models were developed for project crashing to ... more In the project management literature, quantitative models were developed for project crashing to determine the appropriate activities for crashing at minimal cost. In this paper, we suggest that the project quality may be affected by project crashing and develop linear ...

Research paper thumbnail of Assistive Technology for Children With Learning Disabilities as an Artificial Intelligence Application

Assistive Technologies for Differently Abled Students

The Assistive Technology for Children with Learning Disabilities (ATCLD) is a computer software p... more The Assistive Technology for Children with Learning Disabilities (ATCLD) is a computer software program developed for upper primary education learners of Eros Girls School (EGS) situated in Eros, Windhoek, Namibia. The notion of the development of ATCLD initiated from the idea of improving the occurrence of teaching and learning since the time the traditional methods applicable to mainstream classes were used at EGS. The ATCLD was implemented to improve academic performance of learners with dyslexia in EGS and will be implemented across various needy schools around Namibia. The specifications of this application follows from the fact that people with dyslexia have problems related to English language and mathematics (dyscalculia). ATCLD technologies improve dyslexia learners' capabilities through repetition to aid the learners developing specific skills. ATCLD can be generalised to accommodate other learning deficiencies such as language processing disorder and audio processing ...

Research paper thumbnail of System End-User Actions as a Threat to Information System Security

International Journal of Network Security & Its Applications, 2021

As universities migrate online due to the advent of Covid-19, there is a need for enhanced securi... more As universities migrate online due to the advent of Covid-19, there is a need for enhanced security in information systems in the institution of higher learning. Many opted to invest in technological approaches to mitigate cybersecurity threats; however, the most common types of cybersecurity breaches happen due to the human factor, well known as end-user error or actions. Thus, this study aimed to identify and explore possible end-user errors in academia and the resulting vulnerabilities and threats that could affect the integrity of the university's information system. The study further presented state-of-the-art humanoriented security threats countermeasures to compliment universities' cybersecurity plans. Countermeasures include well-tailored ICT policies, incident response procedures, and education to protect themselves from security events (disruption, distortion, and exploitation). Adopted is a mixedmethod research approach with a qualitative research design to guide ...

Research paper thumbnail of Object Detection and Classification Using Machine Learning Techniques

Proceedings of the International Conference on Data Science, Machine Learning and Artificial Intelligence, 2021

Object recognition and object detection are sub fields of computer vision, the task of giving com... more Object recognition and object detection are sub fields of computer vision, the task of giving computers the ability to perceive and respond to the world around them. This is a very useful technology and has many different applications in many different disciplines. Examples of applications include but are not limited to: Use in security by using facial recognition; use in the medical field for classification of cancer types (malignant or benign) or detecting sickle cells in the blood; or it can be used as a research tool to automatically record data (e.g. count the number of trucks that use a particular highway); or used in agriculture or industrialization for quality control; or for entertainment purposes in games that can detect and track a users' movement to control a character in a game. And there are many more examples, in which it can be used. However, just as they are many applications, there are also many methods of implementing these systems, such as Convolutional neural networks, Haar cascades, Scale-Invariant Feature Transformations (SIFT), Histogram of Oriented Gradients (HOG) and several others including combinations of these. Each technique may have different setup procedures and different applications where one may work better than the other. This paper aims to measure and give a comparison of some of these techniques for object detection and tracking, by looking at their training and testing time as well as accuracy. The methods used in this paper was Haar Cascades and Neural Networks. The purpose of this paper is to learn more about these machine learning techniques by comparing the way they work and the way they were implemented, by doing so one can also understand contexts in which to use these systems. The artifacts used in this paper included a robot that can track an object and an application that could classify an image based on a set of objects it was trained on, that is the application can determine what the picture is of based on a set of images it was trained on.

Research paper thumbnail of Correlation of Sentiment Analysis between Tweets and Newspaper Headlines Using NLP

Proceedings of the International Conference on Data Science, Machine Learning and Artificial Intelligence, 2021

Twitter has grown in popularity during the past decades. It is now used by millions of users who ... more Twitter has grown in popularity during the past decades. It is now used by millions of users who share information about their daily life and their opinions on certain topics in the media. In order to automatically process and analyse this data, applications can rely on analysis methods such as sentiment analysis. This study aimed to find correlations between the sentiments of tweets and newspaper headlines in the Namibian context. It focused on using Twitter because of its limitation in the length of the text content posted on this platform. The study revealed the correlation between the sentiments of Tweets posted from Namibia and that of national headlines appearing in local newspapers. The study is carried out using Design and Creation Method as it involves capturing data from the Twitter social media platform using an application that has been developed to the needs of the study, headlines from Namibian newspapers namely The Namibian, New Era, Namibian SUN, Informante and Confidente have been captured manually. This application will also track the sentiment score of Namibian tweets in real time. Additionally, the study also made use of the Qualitative and Quantitative Research Methods to analysed and draw conclusions from the collected qualitative data. The study analysed the sentiment score of the tweets and the newspaper headlines collected, the sentiment scores were graphically plotted to find the sentiment correlation between tweets and newspaper headlines, as well as notable trends. Real-time sentiment analysis of tweets was also carried out to determine the sentiment score of Namibian tweets over a certain period particularly days and months. This study showed us that there is a direct sentiment correlation between tweets and news headlines, whenever the sentiment score of news headlines drops that of tweets drops as well, and this is more evident when looking at the monthly correlation graph in the results section. This implies that news headlines are one of the drivers of social media content in Namibia.

Research paper thumbnail of Graduates' Prediction System Using Artificial Intelligence

Proceedings of the International Conference on Data Science, Machine Learning and Artificial Intelligence, 2021

The web-based application consists of an interactive dashboard to allow the user to visualize the... more The web-based application consists of an interactive dashboard to allow the user to visualize the prediction results which can be view using different types of charts all to the user's convenience. This study managed to attain its main object of creating a student graduation prediction system for the school of computing and the sub-objective were also met. The predictions of this study were purely based on the students' academic results in the form of credit scores and other factors were not considered. This study recommends that further research should be done with actual student data from the university's student database records that stretches for over a longer period, say about 5 to 10 years.

Research paper thumbnail of Enhanced Corporate Network Management using Software Defined Network: The Case of Salt Essential, Namibia

2021 IST-Africa Conference (IST-Africa), 2021

Management of the traditional methods and techniques of the network seems to be ineffective. This... more Management of the traditional methods and techniques of the network seems to be ineffective. This is even more critical in data centres, where the network must always perform at its optimal level to ensure the availability of data and services to the clients. Configuration and maintenance of all kinds of networks, including data centres is tedious, especially when done manually and hence could possibly result in errors and vulnerabilities in the networks. In this research, a network simulation was applied to demonstrate how network management can be centrally administered using the Software Defined Network (SDN) as a way to overcome the said challenges. To actualize the simulation, the Mininet and OpenDayLight were used in the simulations and showed how SDN can be used for network management. The research demonstrated key insights into how networking can be centrally administered with SDN to overcome the challenges associated with traditional network administration.

Research paper thumbnail of Unleashing the Convergence of Cloud Computing With Internet of Things

Transforming the Internet of Things for Next-Generation Smart Systems, 2021

The term “cloud of things” is currently in the forefront of computer research topics due to its v... more The term “cloud of things” is currently in the forefront of computer research topics due to its vital role towards the internet of things. To integrate cloud computing and internet of things into a single technology or worldview, this chapter discussed the evolution of internet of things and cloud computing and reviewed literature on cloud computing and internet of things and their possible integration. The chapter also discussed the importance of cloud internet of things, its architecture, and operation; the need to integrate internet of things and cloud computing; and challenges of cloud internet of things. The chapter then used the identified open issues and future direction to propose a generic cloud internet of things architecture and pilot simulated the results to verify the possibility and effectiveness of cloud computing and internet of things (CIoTs) integration. The researchers believe that the chapter will provide a better insight for anyone who wishes to carry out resear...

Research paper thumbnail of Modeling and analysis of software reliability

This dissertation investigates the modeling of software reliability an its application to softwar... more This dissertation investigates the modeling of software reliability an its application to software development process. First, an extension of a Bayes empirical-Bayes model for software reliability is considered by assuming time between failures to be Weibull random variables. Then a software reliability growth model based on a nonhomogeneous Poisson process with Weibull intensity function is introduced. An Unbiased estimate of failure rate is used for reliability prediction. This result is compared with predictions by model which fit into the general framework of Bayes Empirical-Bayes problem. The model which assumes that time between failures has an Exponential distribution and the model which assumes the process generating failures to be nonhomogeneous Poisson process with special type of intensity function have been used for comparison. An extension of Nonhomogeneous Poisson Process is derived. This extension considers the intensity function as a function of time, number of erro...

Research paper thumbnail of Maternity Management Information System for Katutura Hospital Maternity Department, Windhoek, Namibia

2022 IST-Africa Conference (IST-Africa)

Research paper thumbnail of Career Counseling Chatbot on Facebook Messenger using AI

Proceedings of the International Conference on Data Science, Machine Learning and Artificial Intelligence, 2021

This research adopted both Research methodology and Software Development methodology. Under Resea... more This research adopted both Research methodology and Software Development methodology. Under Research Methodology, a survey was conducted to gather information about individuals' opinions regarding their possible career choices, and what types of career advice they would like to receive from the system. In addition, the latest research on career guidance was considered in forming the basis of the questions asked. This information was used in chatbot system development on the Facebook Messenger platform, using tools such as the Facebook SDK, the Messenger Platform APIs, and JavaScript, and the Wit.ai API which enables the use of Natural Language Processing, which is a use case of AI techniques. The chatbot understands user input and give relevant and appropriate responses, reliably and in real-time. In conclusion, the results obtained are hoped to result in positive proclivity towards adopting the system, thus serving as a useful asset to any universities or institutions that might wish to utilize it.

Research paper thumbnail of A Prototype of an Android Application Controlled Lawnmower

2020 IST-Africa Conference (IST-Africa), 2020

Nowadays, many house owners grow lawns in their backyard and spend hours cutting these lawns. It ... more Nowadays, many house owners grow lawns in their backyard and spend hours cutting these lawns. It became evident that some people still use grass shears or manually controlled reel mowers to trim their yards. This is exhausting, expensive and subjected to health risks. However, modern technologies can provide solutions to these challenges using wearable technology such as smartphones. This paper focuses on the design and implementation of a low cost and user-friendly remotely controlled lawnmower via an Android mobile application using a smartphone. It further presents the findings of the prototype developed. The study adopted a qualitative research methodology and an agile method to develop a mobile application. Further, a Bluetooth module has been used to allow wireless communication between the application and Arduino Uno Board. Data collection methods consisted of group interviews. The findings indicated that the prototype proved fast, efficient, accurate, flexible, safe, cheaper...

Research paper thumbnail of Unleashing the Convergence of Cloud Computing With Internet of Things: Drivers for Integration

IGI Global, 2021

The term "cloud of things" is currently in the forefront of computer research topics due to its v... more The term "cloud of things" is currently in the forefront of computer research topics due to its vital role towards the internet of things. To integrate cloud computing and internet of things into a single technology or worldview, this chapter discussed the evolution of internet of things and cloud computing and reviewed literature on cloud computing and internet of things and their possible integration. The chapter also discussed the importance of cloud internet of things, its architecture, and operation; the need to integrate internet of things and cloud computing; and challenges of cloud internet of things. The chapter then used the identified open issues and future direction to propose a generic cloud internet of things architecture and pilot simulated the results to verify the possibility and effectiveness of cloud computing and internet of things (CIoTs) integration. The researchers believe that the chapter will provide a better insight for anyone who wishes to carry out research in the field of cloud internet of things.

Research paper thumbnail of Enhanced Corporate Network Management using Software Defined Network: The Case of Salt Essential, Namibia

IST AFRICA, 2021

Management of the traditional methods and techniques of the network seems to be ineffective. This... more Management of the traditional methods and techniques of the network seems to be ineffective. This is even more critical in data centres, where the network must always perform at its optimal level to ensure the availability of data and services to the clients. Configuration and maintenance of all kinds of networks, including data centres is tedious, especially when done manually and hence could possibly result in errors and vulnerabilities in the networks. In this research, a network simulation was applied to demonstrate how network management can be centrally administered using the Software Defined Network (SDN) as a way to overcome the said challenges. To actualize the simulation, the Mininet and OpenDayLight were used in the simulations and showed how SDN can be used for network management. The research demonstrated key insights into how networking can be centrally administered with SDN to overcome the challenges associated with traditional network administration.

Research paper thumbnail of Valerianus Hashiyana, Nalina Suresh and Abel Natangwe Mwedihanga

Zenodo (CERN European Organization for Nuclear Research), May 24, 2023

Climate services involve the timely production, translation, and delivery of useful climate data,... more Climate services involve the timely production, translation, and delivery of useful climate data, information and knowledge for societal decision making. In order to create climate services for farmers that are truly integrated with user-centric design into the development process in an African context, the study has finished an important and crucial step by conducting a literature review and designing a prototype for the application. The goal of this study was to create climate services for farmers in an African context that are genuinely integrated with user-centric design. This led to the co-design and development and integration of a mobile application that provide climate and weather information as well as agricultural information for the main crops such millet, maize and sorghum. The research applied using qualitative research using interview with 3 farmers in the field using random sampling with the approach to inform the study. A survey has been administered to find out how people understand climate services, Agro meteorology and help enhance the mobile application's user experience. A Results shows that farmers are determined and ready to use and excited with the application. These innovations helped farmers to reduce the cost, increase crop capacity and profit. A hypothesis was set that there is a need for integrating AI into a farmer's application for making farming process more progressive and efficient farming and the integration of Market Place (MP) for farmer's application to market and sell their product the integration of notification system that allows farmers to receive real-time data and IOT for real-time data. The data collected and the survey results demonstrated that the research objectives were being met. The study aims to develop the application that would be scalable, durable and fault tolerant for farmers to use the application successfully.

Research paper thumbnail of The Development of Climate Agrometeorological Application for Farmers in Namibia

International Journal of Computer Science and Information Technology, Apr 29, 2023

Climate services involve the timely production, translation, and delivery of useful climate data,... more Climate services involve the timely production, translation, and delivery of useful climate data, information and knowledge for societal decision making. In order to create climate services for farmers that are truly integrated with user-centric design into the development process in an African context, the study has finished an important and crucial step by conducting a literature review and designing a prototype for the application. The goal of this study was to create climate services for farmers in an African context that are genuinely integrated with user-centric design. This led to the co-design and development and integration of a mobile application that provide climate and weather information as well as agricultural information for the main crops such millet, maize and sorghum. The research applied using qualitative research using interview with 3 farmers in the field using random sampling with the approach to inform the study. A survey has been administered to find out how people understand climate services, Agro meteorology and help enhance the mobile application's user experience. A Results shows that farmers are determined and ready to use and excited with the application. These innovations helped farmers to reduce the cost, increase crop capacity and profit. A hypothesis was set that there is a need for integrating AI into a farmer's application for making farming process more progressive and efficient farming and the integration of Market Place (MP) for farmer's application to market and sell their product the integration of notification system that allows farmers to receive real-time data and IOT for real-time data. The data collected and the survey results demonstrated that the research objectives were being met. The study aims to develop the application that would be scalable, durable and fault tolerant for farmers to use the application successfully.

Research paper thumbnail of Application of machine learning classification for structural brain MRI in mood disorders: Critical review from a clinical perspective

Progress in neuro-psychopharmacology & biological psychiatry, Jan 3, 2018

Mood disorders are a highly prevalent group of mental disorders causing substantial socioeconomic... more Mood disorders are a highly prevalent group of mental disorders causing substantial socioeconomic burden. There are various methodological approaches for identifying the underlying mechanisms of the etiology, symptomatology, and therapeutics of mood disorders; however, neuroimaging studies have provided the most direct evidence for mood disorder neural substrates by visualizing the brains of living individuals. The prefrontal cortex, hippocampus, amygdala, thalamus, ventral striatum, and corpus callosum are associated with depression and bipolar disorder. Identifying the distinct and common contributions of these anatomical regions to depression and bipolar disorder have broadened and deepened our understanding of mood disorders. However, the extent to which neuroimaging research findings contribute to clinical practice in the real-world setting is unclear. As traditional or non-machine learning MRI studies have analyzed group-level differences, it is not possible to directly transl...

Research paper thumbnail of Modelling and optimizing software quality

International Journal of Quality & Reliability Management, 1996

... Nalina Suresh, University of Wisconsin-Eau Claire, Eau Claire, Wisconsin, USA. Abstract. ...S... more ... Nalina Suresh, University of Wisconsin-Eau Claire, Eau Claire, Wisconsin, USA. Abstract. ...Suresh, N., Babu, AJG (1992), "Software quality optimization: a linear programming model", Association of Management Proceedings, Vol. 10 No.2, pp.168-74. ...

Research paper thumbnail of A software reliability growth model

International Journal of Quality & Reliability Management, 1996

Most of the existing software reliability models assume time between failures to follow an expone... more Most of the existing software reliability models assume time between failures to follow an exponential distribution. Develops a reliability growth model based on non‐homogeneous Poisson process with intensity function given by the power law, to predict the reliability of a software. Several authors have suggested the use of the non‐homogeneous Poisson process to assess the reliability growth of software and to predict their failure behaviour. Inference procedures considered by these authors have been Bayesian in nature. Uses an unbiased estimate of the failure rate for prediction. Compares the performance of this model with Bayes empirical‐Bayes models and a time series model. The model developed is realistic, easy to use, and gives a better prediction of reliability of a software.

Research paper thumbnail of Software reliability estimation and optimization

International Journal of Quality & Reliability Management, 1997

Considers an extension of the non‐homogeneous Poisson process to describe the software failure pr... more Considers an extension of the non‐homogeneous Poisson process to describe the software failure process more appropriately. This extension introduces a new structure for the intensity function of the non‐homogeneous Poisson process. Using this intensity function, develops a mathematical model to determine the optimal allocation of resources to be spent during the development to maximize the reliability within a budget.

Research paper thumbnail of Project management with time, cost, and quality considerations

European Journal of Operational Research, 1996

In the project management literature, quantitative models were developed for project crashing to ... more In the project management literature, quantitative models were developed for project crashing to determine the appropriate activities for crashing at minimal cost. In this paper, we suggest that the project quality may be affected by project crashing and develop linear ...

Research paper thumbnail of Assistive Technology for Children With Learning Disabilities as an Artificial Intelligence Application

Assistive Technologies for Differently Abled Students

The Assistive Technology for Children with Learning Disabilities (ATCLD) is a computer software p... more The Assistive Technology for Children with Learning Disabilities (ATCLD) is a computer software program developed for upper primary education learners of Eros Girls School (EGS) situated in Eros, Windhoek, Namibia. The notion of the development of ATCLD initiated from the idea of improving the occurrence of teaching and learning since the time the traditional methods applicable to mainstream classes were used at EGS. The ATCLD was implemented to improve academic performance of learners with dyslexia in EGS and will be implemented across various needy schools around Namibia. The specifications of this application follows from the fact that people with dyslexia have problems related to English language and mathematics (dyscalculia). ATCLD technologies improve dyslexia learners' capabilities through repetition to aid the learners developing specific skills. ATCLD can be generalised to accommodate other learning deficiencies such as language processing disorder and audio processing ...

Research paper thumbnail of System End-User Actions as a Threat to Information System Security

International Journal of Network Security & Its Applications, 2021

As universities migrate online due to the advent of Covid-19, there is a need for enhanced securi... more As universities migrate online due to the advent of Covid-19, there is a need for enhanced security in information systems in the institution of higher learning. Many opted to invest in technological approaches to mitigate cybersecurity threats; however, the most common types of cybersecurity breaches happen due to the human factor, well known as end-user error or actions. Thus, this study aimed to identify and explore possible end-user errors in academia and the resulting vulnerabilities and threats that could affect the integrity of the university's information system. The study further presented state-of-the-art humanoriented security threats countermeasures to compliment universities' cybersecurity plans. Countermeasures include well-tailored ICT policies, incident response procedures, and education to protect themselves from security events (disruption, distortion, and exploitation). Adopted is a mixedmethod research approach with a qualitative research design to guide ...

Research paper thumbnail of Object Detection and Classification Using Machine Learning Techniques

Proceedings of the International Conference on Data Science, Machine Learning and Artificial Intelligence, 2021

Object recognition and object detection are sub fields of computer vision, the task of giving com... more Object recognition and object detection are sub fields of computer vision, the task of giving computers the ability to perceive and respond to the world around them. This is a very useful technology and has many different applications in many different disciplines. Examples of applications include but are not limited to: Use in security by using facial recognition; use in the medical field for classification of cancer types (malignant or benign) or detecting sickle cells in the blood; or it can be used as a research tool to automatically record data (e.g. count the number of trucks that use a particular highway); or used in agriculture or industrialization for quality control; or for entertainment purposes in games that can detect and track a users' movement to control a character in a game. And there are many more examples, in which it can be used. However, just as they are many applications, there are also many methods of implementing these systems, such as Convolutional neural networks, Haar cascades, Scale-Invariant Feature Transformations (SIFT), Histogram of Oriented Gradients (HOG) and several others including combinations of these. Each technique may have different setup procedures and different applications where one may work better than the other. This paper aims to measure and give a comparison of some of these techniques for object detection and tracking, by looking at their training and testing time as well as accuracy. The methods used in this paper was Haar Cascades and Neural Networks. The purpose of this paper is to learn more about these machine learning techniques by comparing the way they work and the way they were implemented, by doing so one can also understand contexts in which to use these systems. The artifacts used in this paper included a robot that can track an object and an application that could classify an image based on a set of objects it was trained on, that is the application can determine what the picture is of based on a set of images it was trained on.

Research paper thumbnail of Correlation of Sentiment Analysis between Tweets and Newspaper Headlines Using NLP

Proceedings of the International Conference on Data Science, Machine Learning and Artificial Intelligence, 2021

Twitter has grown in popularity during the past decades. It is now used by millions of users who ... more Twitter has grown in popularity during the past decades. It is now used by millions of users who share information about their daily life and their opinions on certain topics in the media. In order to automatically process and analyse this data, applications can rely on analysis methods such as sentiment analysis. This study aimed to find correlations between the sentiments of tweets and newspaper headlines in the Namibian context. It focused on using Twitter because of its limitation in the length of the text content posted on this platform. The study revealed the correlation between the sentiments of Tweets posted from Namibia and that of national headlines appearing in local newspapers. The study is carried out using Design and Creation Method as it involves capturing data from the Twitter social media platform using an application that has been developed to the needs of the study, headlines from Namibian newspapers namely The Namibian, New Era, Namibian SUN, Informante and Confidente have been captured manually. This application will also track the sentiment score of Namibian tweets in real time. Additionally, the study also made use of the Qualitative and Quantitative Research Methods to analysed and draw conclusions from the collected qualitative data. The study analysed the sentiment score of the tweets and the newspaper headlines collected, the sentiment scores were graphically plotted to find the sentiment correlation between tweets and newspaper headlines, as well as notable trends. Real-time sentiment analysis of tweets was also carried out to determine the sentiment score of Namibian tweets over a certain period particularly days and months. This study showed us that there is a direct sentiment correlation between tweets and news headlines, whenever the sentiment score of news headlines drops that of tweets drops as well, and this is more evident when looking at the monthly correlation graph in the results section. This implies that news headlines are one of the drivers of social media content in Namibia.

Research paper thumbnail of Graduates' Prediction System Using Artificial Intelligence

Proceedings of the International Conference on Data Science, Machine Learning and Artificial Intelligence, 2021

The web-based application consists of an interactive dashboard to allow the user to visualize the... more The web-based application consists of an interactive dashboard to allow the user to visualize the prediction results which can be view using different types of charts all to the user's convenience. This study managed to attain its main object of creating a student graduation prediction system for the school of computing and the sub-objective were also met. The predictions of this study were purely based on the students' academic results in the form of credit scores and other factors were not considered. This study recommends that further research should be done with actual student data from the university's student database records that stretches for over a longer period, say about 5 to 10 years.

Research paper thumbnail of Enhanced Corporate Network Management using Software Defined Network: The Case of Salt Essential, Namibia

2021 IST-Africa Conference (IST-Africa), 2021

Management of the traditional methods and techniques of the network seems to be ineffective. This... more Management of the traditional methods and techniques of the network seems to be ineffective. This is even more critical in data centres, where the network must always perform at its optimal level to ensure the availability of data and services to the clients. Configuration and maintenance of all kinds of networks, including data centres is tedious, especially when done manually and hence could possibly result in errors and vulnerabilities in the networks. In this research, a network simulation was applied to demonstrate how network management can be centrally administered using the Software Defined Network (SDN) as a way to overcome the said challenges. To actualize the simulation, the Mininet and OpenDayLight were used in the simulations and showed how SDN can be used for network management. The research demonstrated key insights into how networking can be centrally administered with SDN to overcome the challenges associated with traditional network administration.

Research paper thumbnail of Unleashing the Convergence of Cloud Computing With Internet of Things

Transforming the Internet of Things for Next-Generation Smart Systems, 2021

The term “cloud of things” is currently in the forefront of computer research topics due to its v... more The term “cloud of things” is currently in the forefront of computer research topics due to its vital role towards the internet of things. To integrate cloud computing and internet of things into a single technology or worldview, this chapter discussed the evolution of internet of things and cloud computing and reviewed literature on cloud computing and internet of things and their possible integration. The chapter also discussed the importance of cloud internet of things, its architecture, and operation; the need to integrate internet of things and cloud computing; and challenges of cloud internet of things. The chapter then used the identified open issues and future direction to propose a generic cloud internet of things architecture and pilot simulated the results to verify the possibility and effectiveness of cloud computing and internet of things (CIoTs) integration. The researchers believe that the chapter will provide a better insight for anyone who wishes to carry out resear...

Research paper thumbnail of Modeling and analysis of software reliability

This dissertation investigates the modeling of software reliability an its application to softwar... more This dissertation investigates the modeling of software reliability an its application to software development process. First, an extension of a Bayes empirical-Bayes model for software reliability is considered by assuming time between failures to be Weibull random variables. Then a software reliability growth model based on a nonhomogeneous Poisson process with Weibull intensity function is introduced. An Unbiased estimate of failure rate is used for reliability prediction. This result is compared with predictions by model which fit into the general framework of Bayes Empirical-Bayes problem. The model which assumes that time between failures has an Exponential distribution and the model which assumes the process generating failures to be nonhomogeneous Poisson process with special type of intensity function have been used for comparison. An extension of Nonhomogeneous Poisson Process is derived. This extension considers the intensity function as a function of time, number of erro...

Research paper thumbnail of Maternity Management Information System for Katutura Hospital Maternity Department, Windhoek, Namibia

2022 IST-Africa Conference (IST-Africa)

Research paper thumbnail of Career Counseling Chatbot on Facebook Messenger using AI

Proceedings of the International Conference on Data Science, Machine Learning and Artificial Intelligence, 2021

This research adopted both Research methodology and Software Development methodology. Under Resea... more This research adopted both Research methodology and Software Development methodology. Under Research Methodology, a survey was conducted to gather information about individuals' opinions regarding their possible career choices, and what types of career advice they would like to receive from the system. In addition, the latest research on career guidance was considered in forming the basis of the questions asked. This information was used in chatbot system development on the Facebook Messenger platform, using tools such as the Facebook SDK, the Messenger Platform APIs, and JavaScript, and the Wit.ai API which enables the use of Natural Language Processing, which is a use case of AI techniques. The chatbot understands user input and give relevant and appropriate responses, reliably and in real-time. In conclusion, the results obtained are hoped to result in positive proclivity towards adopting the system, thus serving as a useful asset to any universities or institutions that might wish to utilize it.

Research paper thumbnail of A Prototype of an Android Application Controlled Lawnmower

2020 IST-Africa Conference (IST-Africa), 2020

Nowadays, many house owners grow lawns in their backyard and spend hours cutting these lawns. It ... more Nowadays, many house owners grow lawns in their backyard and spend hours cutting these lawns. It became evident that some people still use grass shears or manually controlled reel mowers to trim their yards. This is exhausting, expensive and subjected to health risks. However, modern technologies can provide solutions to these challenges using wearable technology such as smartphones. This paper focuses on the design and implementation of a low cost and user-friendly remotely controlled lawnmower via an Android mobile application using a smartphone. It further presents the findings of the prototype developed. The study adopted a qualitative research methodology and an agile method to develop a mobile application. Further, a Bluetooth module has been used to allow wireless communication between the application and Arduino Uno Board. Data collection methods consisted of group interviews. The findings indicated that the prototype proved fast, efficient, accurate, flexible, safe, cheaper...

Research paper thumbnail of Co-design of an Agricultural Management Application for Small-Scale Farmers

2020 IST-Africa Conference (IST-Africa), 2020

Most African farm homesteads are seeing a steady sub-division of their land that sheds light on s... more Most African farm homesteads are seeing a steady sub-division of their land that sheds light on small-scale farming. Small-scale farmers are poised to be significant economic drivers in developing countries in Africa. Hence, indicative of the potential in smart farming applications. This research aimed at providing appropriate farming practices information through co-designing an Agricultural Management Application that would maximize small-scale farmer’s crop production. Reviewing relevant literature and applying an experimental design approach, the Agricultural Management Application was developed in this research. The results of the study were satisfactory as the application developed was deemed useful and informative by local farmers. Since only a few crops were listed on the application currently in use, it is further recommended that more crops be added to this mobile application. This will allow farmers to expand their scope of participation and the use of the application.

Research paper thumbnail of Open Innovation in Government Services: An Empirical View of Citizens’ Participation

2020 IST-Africa Conference (IST-Africa), 2020

The purpose of this paper was to investigate the perception of citizens on their participation in... more The purpose of this paper was to investigate the perception of citizens on their participation in open innovation in government services. This is a quantitative study that applied descriptive statistics in analysing the findings. Participants were selected from the general public and several governmental organisations. The findings suggest that the participants believed that citizens’ participation in open innovation could lead to innovative solutions, simple access to government information, effective service delivery, speedy and responsive public service delivery. Participants also believed that involving citizens in governance could reduce the potential failure of government policies. However, the majority of the participants did not believe that citizens’ participation in open innovation would lower costs in terms of service delivery. It was recommended that further studies should be conducted to create awareness of the benefits of citizens’ participation in open innovation in g...