Neema Mduma - Academia.edu (original) (raw)
Papers by Neema Mduma
Applied Artificial Intelligence
ArXiv, 2015
Based on the fact that management of nutrition information is still a problem in many developing ... more Based on the fact that management of nutrition information is still a problem in many developing countries including Tanzania and nutrition information is only verbally provided without emphasis, this study proposes mobile application for enhancing management of nutrition information. The paper discusses the implementation of an integrated mobile application for enhancing management of nutrition information based on literature review and interviews, which were conducted in Arusha region for the collection of key information and details required for designing the mobile application. In this application, PHP technique has been used to build the application logic and MySQL technology for developing the back-end database. Using XML and Java, we have built an application interface that provides easy interactive view.
Ugali is a thick porridge that is one of the popular staple foods in East Africa. Traditional met... more Ugali is a thick porridge that is one of the popular staple foods in East Africa. Traditional methods of ugali preparation, cooking, and consumption are described. Firewood has been used as the primary energy source followed by charcoal. In East Africa, electricity grids have expanded and reached a wider network, which has opened opportunities for electric cooking to domestic consumers, especially in urban that was previously dominated by charcoal, which is in scarce supply due to government regulations on environmental conservation. In this project, the smart ugali cooker was designed and developed to automate the process of cooking ugali in households which is faster, safer, and healthier. The smart Ugali cooker is an automated kitchen appliance designed to boil the mixture of water and maize flour into a dough mixture referred to as ugali. It consists of a driving motor, stirrer, flour dispenser, heat source, a cooking pan, a temperature sensor that measures the temperature of th...
1.Introduction Climate change is currently one of the most serious and extreme issues worldwide. ... more 1.Introduction Climate change is currently one of the most serious and extreme issues worldwide. Besides the contribution of human activities to climate change, the planet’s climate is changing now much more than ever [1]. Due to climate-related and geophysical disasters, a total of 1.3 million people have died between 1988 and 2017, and a further 4.4 billion injured, homeless, and displaced [2]. Although a greater number of these disasters were due to geophysical events like earthquakes and tsunamis, 91% of all documented disasters due to natural hazards resulted from floods, droughts, tropical cyclones, heat waves, and other excessive weather events [3]. The effects of climate change are anticipated to further increase due to the general change and variability of climate.
International Journal of Advances in Scientific Research and Engineering, 2021
The verdict has been established that Railway Level Crossings (RLCs) present a possible risk to r... more The verdict has been established that Railway Level Crossings (RLCs) present a possible risk to roads users. Because of the everincreasing number of vehicles on the road every day, it was determined that employing automation at level crossings can be beneficial to both road and railway users' safety. The aim is to develop an automated railway level crossing system that would reduce the likelihood of collisions between trains and road users at intersections. From the perspective of a railway level crossing, the conditions safeguards must meet is straightforward-Before a train passes, there must be a complete stop for all road users. Two RFID sensors and Ultrasonic sensors are used located at strike-in and strike-out points at the level crossing. Detection of automobiles stuck on the rail road once the train has activated the automation at the RLC is performed by the Ultrasonic sensor. Other warning measures in the system include an automated barrier, Light Emitting Diode flashing...
Malaria remains an important cause of death, especially in sub-Saharan Africa with about 228 mill... more Malaria remains an important cause of death, especially in sub-Saharan Africa with about 228 million malaria cases worldwide and an estimated 405,000 deaths in 2019. Currently, malaria is diagnosed in the health facility using a microscope (BS) or rapid malaria diagnostic test (MRDT) and with area where these tools are inadequate the presumptive treatment is performed. Apart from that self-diagnosis and treatment is also practiced in some of the households. With the high-rate self-medication on malaria drugs, this study aimed at computing the most significant features using feature selection methods for best prediction of malaria in Tanzania that can be used in developing a machine learning model for malaria diagnosis. A malaria symptoms and clinical diagnosis dataset were extracted from patients’ files from four (4) identified health facilities in the regions of Kilimanjaro and Morogoro. These regions were selected to represent the high endemic areas (Morogoro) and low endemic area...
International Journal of Advances in Scientific Research and Engineering (ijasre), 2021
Radio Frequency Identification (RFID) Systems are becoming very useful in our daily life due to i... more Radio Frequency Identification (RFID) Systems are becoming very useful in our daily life due to its advantages such as reduction of human error, theft prevention, time consuming reduction, the auto identification of targeted objects, business processes automation etc. RFID systems has been applied in library to manage items and library operations. Different approaches have been adopted in library management system in the East African region unfortunately some challenges including theft, pages removal, non-customer satisfaction, high cost of used system etc. are still persisting. To address these challenges, an RFID based library management and anti-theft system has been developed to East African Community (EAC) library. It focused on the use of Ultra High Frequency (UHF) band which enable readers and tags to transmit and receive data at long range. The developed system facilitates users to borrow and return library items using RFID modules and enable librarians to monitor, record li...
Based on the fact that management of nutrition information is still a problem in many developing ... more Based on the fact that management of nutrition information is still a problem in many developing countries including Tanzania and nutrition information is only verbally provided without emphasis, this study proposes mobile application for enhancing management of nutrition information. The paper discusses the implementation of an integrated mobile application for enhancing management of nutrition information based on literature review and interviews, which were conducted in Arusha region for the collection of key information and details required for designing the mobile application. In this application, PHP technique has been used to build the application logic and MySQL technology for developing the back-end database. Using XML and Java, we have built an application interface that provides easy interactive view.
Lecture Notes in Networks and Systems
2017 IST-Africa Week Conference (IST-Africa)
Journal of Information Systems Engineering & Management
When a student is absent from school for a continuous number of days as defined by the relevant a... more When a student is absent from school for a continuous number of days as defined by the relevant authority, that student is considered to have dropped out of school. In Tanzania, for instance, drop-out is when a student is absent continuously for a period of 90 days. Despite the fact that several efforts have been made to improve the overall status of education at secondary level, the student drop-out problem still persists. Taking advantage of advancement in technology, several studies have used machine learning to address the student drop-out problem. However, most of the conducted studies have used datasets from developed countries, while developing countries are facing challenges on generating public datasets to be used to address this problem. Using a dataset from Tanzania which reflect a local scenario; this study presents an ensemble predictive model based prototype for student drop-out in secondary schools. The deployed model was developed by soft combining a tuned Logistic Regression and Multi-Layer Perceptron models. A feature engineering experiment was conducted to obtain the most important features for predicting student dropout. Furthermore, a visualization module was integrated to assist interpretation of the machine learning results and we used flask framework in the development of the prototype.
International Journal of Advanced Computer Research
Machine learning techniques have been applied in various platforms such as a massive open on-line... more Machine learning techniques have been applied in various platforms such as a massive open on-line course (MOOC). MOOC platforms such as Coursera and the edX is among popular used platforms for student dropout prediction [9] and other learning
Data Science Journal
School dropout is absenteeism from school for no good reason for a continuous number of days. Add... more School dropout is absenteeism from school for no good reason for a continuous number of days. Addressing this challenge requires a thorough understanding of the underlying issues and effective planning for interventions. Over the years machine learning has gained much attention on addressing the problem of students dropout. This is because machine learning techniques can effectively facilitate determination of at-risk students and timely planning for interventions. In order to collect, organize, and synthesize existing knowledge in the field of machine learning on addressing student dropout; literature in academic journals, books and case studies have been surveyed. The survey reveal that, several machine learning algorithms have been proposed in literature. However, most of those algorithms have been developed and tested in developed countries. Hence, developing countries are facing lack of research on the use of machine learning on addressing this problem. Furthermore, many studies focus on addressing student dropout using student level datasets. However, developing countries need to include school level datasets due to the issue of limited resources. Therefore, this paper presents an overview of machine learning in education with the focus on techniques for student dropout prediction. Furthermore, the paper highlights open challenges for future research directions.
Lecture Notes in Networks and Systems
Applied Artificial Intelligence
ArXiv, 2015
Based on the fact that management of nutrition information is still a problem in many developing ... more Based on the fact that management of nutrition information is still a problem in many developing countries including Tanzania and nutrition information is only verbally provided without emphasis, this study proposes mobile application for enhancing management of nutrition information. The paper discusses the implementation of an integrated mobile application for enhancing management of nutrition information based on literature review and interviews, which were conducted in Arusha region for the collection of key information and details required for designing the mobile application. In this application, PHP technique has been used to build the application logic and MySQL technology for developing the back-end database. Using XML and Java, we have built an application interface that provides easy interactive view.
Ugali is a thick porridge that is one of the popular staple foods in East Africa. Traditional met... more Ugali is a thick porridge that is one of the popular staple foods in East Africa. Traditional methods of ugali preparation, cooking, and consumption are described. Firewood has been used as the primary energy source followed by charcoal. In East Africa, electricity grids have expanded and reached a wider network, which has opened opportunities for electric cooking to domestic consumers, especially in urban that was previously dominated by charcoal, which is in scarce supply due to government regulations on environmental conservation. In this project, the smart ugali cooker was designed and developed to automate the process of cooking ugali in households which is faster, safer, and healthier. The smart Ugali cooker is an automated kitchen appliance designed to boil the mixture of water and maize flour into a dough mixture referred to as ugali. It consists of a driving motor, stirrer, flour dispenser, heat source, a cooking pan, a temperature sensor that measures the temperature of th...
1.Introduction Climate change is currently one of the most serious and extreme issues worldwide. ... more 1.Introduction Climate change is currently one of the most serious and extreme issues worldwide. Besides the contribution of human activities to climate change, the planet’s climate is changing now much more than ever [1]. Due to climate-related and geophysical disasters, a total of 1.3 million people have died between 1988 and 2017, and a further 4.4 billion injured, homeless, and displaced [2]. Although a greater number of these disasters were due to geophysical events like earthquakes and tsunamis, 91% of all documented disasters due to natural hazards resulted from floods, droughts, tropical cyclones, heat waves, and other excessive weather events [3]. The effects of climate change are anticipated to further increase due to the general change and variability of climate.
International Journal of Advances in Scientific Research and Engineering, 2021
The verdict has been established that Railway Level Crossings (RLCs) present a possible risk to r... more The verdict has been established that Railway Level Crossings (RLCs) present a possible risk to roads users. Because of the everincreasing number of vehicles on the road every day, it was determined that employing automation at level crossings can be beneficial to both road and railway users' safety. The aim is to develop an automated railway level crossing system that would reduce the likelihood of collisions between trains and road users at intersections. From the perspective of a railway level crossing, the conditions safeguards must meet is straightforward-Before a train passes, there must be a complete stop for all road users. Two RFID sensors and Ultrasonic sensors are used located at strike-in and strike-out points at the level crossing. Detection of automobiles stuck on the rail road once the train has activated the automation at the RLC is performed by the Ultrasonic sensor. Other warning measures in the system include an automated barrier, Light Emitting Diode flashing...
Malaria remains an important cause of death, especially in sub-Saharan Africa with about 228 mill... more Malaria remains an important cause of death, especially in sub-Saharan Africa with about 228 million malaria cases worldwide and an estimated 405,000 deaths in 2019. Currently, malaria is diagnosed in the health facility using a microscope (BS) or rapid malaria diagnostic test (MRDT) and with area where these tools are inadequate the presumptive treatment is performed. Apart from that self-diagnosis and treatment is also practiced in some of the households. With the high-rate self-medication on malaria drugs, this study aimed at computing the most significant features using feature selection methods for best prediction of malaria in Tanzania that can be used in developing a machine learning model for malaria diagnosis. A malaria symptoms and clinical diagnosis dataset were extracted from patients’ files from four (4) identified health facilities in the regions of Kilimanjaro and Morogoro. These regions were selected to represent the high endemic areas (Morogoro) and low endemic area...
International Journal of Advances in Scientific Research and Engineering (ijasre), 2021
Radio Frequency Identification (RFID) Systems are becoming very useful in our daily life due to i... more Radio Frequency Identification (RFID) Systems are becoming very useful in our daily life due to its advantages such as reduction of human error, theft prevention, time consuming reduction, the auto identification of targeted objects, business processes automation etc. RFID systems has been applied in library to manage items and library operations. Different approaches have been adopted in library management system in the East African region unfortunately some challenges including theft, pages removal, non-customer satisfaction, high cost of used system etc. are still persisting. To address these challenges, an RFID based library management and anti-theft system has been developed to East African Community (EAC) library. It focused on the use of Ultra High Frequency (UHF) band which enable readers and tags to transmit and receive data at long range. The developed system facilitates users to borrow and return library items using RFID modules and enable librarians to monitor, record li...
Based on the fact that management of nutrition information is still a problem in many developing ... more Based on the fact that management of nutrition information is still a problem in many developing countries including Tanzania and nutrition information is only verbally provided without emphasis, this study proposes mobile application for enhancing management of nutrition information. The paper discusses the implementation of an integrated mobile application for enhancing management of nutrition information based on literature review and interviews, which were conducted in Arusha region for the collection of key information and details required for designing the mobile application. In this application, PHP technique has been used to build the application logic and MySQL technology for developing the back-end database. Using XML and Java, we have built an application interface that provides easy interactive view.
Lecture Notes in Networks and Systems
2017 IST-Africa Week Conference (IST-Africa)
Journal of Information Systems Engineering & Management
When a student is absent from school for a continuous number of days as defined by the relevant a... more When a student is absent from school for a continuous number of days as defined by the relevant authority, that student is considered to have dropped out of school. In Tanzania, for instance, drop-out is when a student is absent continuously for a period of 90 days. Despite the fact that several efforts have been made to improve the overall status of education at secondary level, the student drop-out problem still persists. Taking advantage of advancement in technology, several studies have used machine learning to address the student drop-out problem. However, most of the conducted studies have used datasets from developed countries, while developing countries are facing challenges on generating public datasets to be used to address this problem. Using a dataset from Tanzania which reflect a local scenario; this study presents an ensemble predictive model based prototype for student drop-out in secondary schools. The deployed model was developed by soft combining a tuned Logistic Regression and Multi-Layer Perceptron models. A feature engineering experiment was conducted to obtain the most important features for predicting student dropout. Furthermore, a visualization module was integrated to assist interpretation of the machine learning results and we used flask framework in the development of the prototype.
International Journal of Advanced Computer Research
Machine learning techniques have been applied in various platforms such as a massive open on-line... more Machine learning techniques have been applied in various platforms such as a massive open on-line course (MOOC). MOOC platforms such as Coursera and the edX is among popular used platforms for student dropout prediction [9] and other learning
Data Science Journal
School dropout is absenteeism from school for no good reason for a continuous number of days. Add... more School dropout is absenteeism from school for no good reason for a continuous number of days. Addressing this challenge requires a thorough understanding of the underlying issues and effective planning for interventions. Over the years machine learning has gained much attention on addressing the problem of students dropout. This is because machine learning techniques can effectively facilitate determination of at-risk students and timely planning for interventions. In order to collect, organize, and synthesize existing knowledge in the field of machine learning on addressing student dropout; literature in academic journals, books and case studies have been surveyed. The survey reveal that, several machine learning algorithms have been proposed in literature. However, most of those algorithms have been developed and tested in developed countries. Hence, developing countries are facing lack of research on the use of machine learning on addressing this problem. Furthermore, many studies focus on addressing student dropout using student level datasets. However, developing countries need to include school level datasets due to the issue of limited resources. Therefore, this paper presents an overview of machine learning in education with the focus on techniques for student dropout prediction. Furthermore, the paper highlights open challenges for future research directions.
Lecture Notes in Networks and Systems