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Articles 31 - 60 of 127
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A Radial Basis Function Neural Network Algorithm For The Simultaneous Retrieval Of Two Meteorological Parameters From Solar Radiation, Nicholas W. Nzala, Nicolausi Ssebiyonga, Dennis Muyimbwa, Taddeo Ssenyonga
A Radial Basis Function Neural Network Algorithm For The Simultaneous Retrieval Of Two Meteorological Parameters From Solar Radiation, Nicholas W. Nzala, Nicolausi Ssebiyonga, Dennis Muyimbwa, Taddeo Ssenyonga
Tanzania Journal of Science
Local meteorological parameters are key in understanding the frequency of occurrence of extreme weather conditions such as floods, and droughts, among others. In this study, we present a method for simultaneous retrieval of two weather parameters. The method is based on already measured monthly average values of weather parameters from 2011 to 2016, which were used to train a Feed-forward radial basis function neural network (RBFNN) to obtain a fast and accurate method to compute global solar radiation for specified weather parameters pair. In inverse modelling, a multidimensional unconstrained non-linear optimization was employed to retrieve the weather parameters pair. The …
Enhancing Service Restoration In Tanzanian Power Grid Using Internet Of Things Sensors And Renewable Energy Sources, Rukia J. Mwifunyi, Daudi C. Mnyanghwalo, Shamte J. Kawambwa
Enhancing Service Restoration In Tanzanian Power Grid Using Internet Of Things Sensors And Renewable Energy Sources, Rukia J. Mwifunyi, Daudi C. Mnyanghwalo, Shamte J. Kawambwa
Tanzania Journal of Science
The increased dependence on the electric power grid, coupled with the increasing number of new customers, motivates the need to improve the reliability and resilience of the electric distribution systems. Modern distribution systems are becoming more resilient against power outages due to the increasing integration of Distributed Energy Resources (DERs) and the availability of efficient mechanisms for load shedding. Several studies considered fault detection and Service Restoration (SR) as separate problems without considering the implementation feasibility of integrating both solutions. To ensure the resiliency in the power system, it is important to have proper mechanisms which integrate sensing, detection, and …
The Estimation Of Heavy Tails In Non-Linear Models, Josephine N. Onyeka-Ubaka, Olaide Abass
The Estimation Of Heavy Tails In Non-Linear Models, Josephine N. Onyeka-Ubaka, Olaide Abass
Tanzania Journal of Science
A generalized student t distribution technique based on estimation of bilinear generalized autoregressive conditional heteroskedasticity (BL-GARCH) model is introduced. The paper investigates from empirical perspective, aspects of the model related to the economic and financial risk management and its impacts on volatility forecasting. The purposive sampling technique was applied to select four banks for the study, namely First Bank of Nigeria (FBN), Guaranty Trust Bank (GTB), United Bank for Africa (UBA) and Zenith Bank (ZEB). The four banks are selected, because their daily stock prices are considered to be more susceptible to volatility than those of other banks within the …
Application Of Agile And Simulation Approaches For The Maximal Benefits Of Reduced Turnaround Time From The Point Of Care Testing, Yusta W. Simwita, Berit I. Helgheim
Application Of Agile And Simulation Approaches For The Maximal Benefits Of Reduced Turnaround Time From The Point Of Care Testing, Yusta W. Simwita, Berit I. Helgheim
Tanzania Journal of Science
This paper uses simulation to explore improvement opportunities in the orthopaedic care process. Secondly, this study used a combination of simulation and agile strategies to explore agile operational plans that can be adopted to maximize the benefits of reduced turnaround time. Data used for this study was collected by observing the entire orthopaedic care process. A total of 635 observations were obtained, with 179 out of these observations undergoing the whole care process. The actual collected patient data were compared with the simulation output to validate the developed simulation. Different scenarios were developed to test operational plans for the maximal …
Optimal Harvesting Of Wildebeest-Lion Interactions In Serengeti Ecosystem With Prey Refuge, Alfred Kisuda Hugo, Thadei Damas Sagamiko, Isambi Sailon Mbalawata
Optimal Harvesting Of Wildebeest-Lion Interactions In Serengeti Ecosystem With Prey Refuge, Alfred Kisuda Hugo, Thadei Damas Sagamiko, Isambi Sailon Mbalawata
Tanzania Journal of Science
This paper describes an optimal harvesting policy for a wildebeest-lion prey-predator system in the Serengeti ecosystem with prey refuge. A Holling Type II prey-predator model with a nonlinear harvesting aspect was developed. Theoretical and numerical analyses were performed, and the dynamic behaviour of the system was found to be mathematically well-posed. Data on lion population density from the Serengeti ecosystem were used to fit the model using the maximum-likelihood method. The optimal harvesting policy was numerically determined using Pontryagin’s maximum principle. Furthermore, the impact of prey refuge on the predator population was numerically evaluated. The results of this study highlight …
Identifying Factors Contributing To Under-Five Mortality In Nigeria, Olateju Alao Bamigbala, Ayodeji Oluwatobi * Ojetunde
Identifying Factors Contributing To Under-Five Mortality In Nigeria, Olateju Alao Bamigbala, Ayodeji Oluwatobi * Ojetunde
Tanzania Journal of Science
The under-5 mortality rate (U5MR) is the probability that a child born in a specified year will die before turning 5 years of age. U5MR is still high in Nigeria. Therefore, this study aimed to identify factors contributing to under-5 mortality in Nigeria. The data used in this study were from the 2018 NDHS, encompassing 2013–2018. The methods of analysis used for this study were frequency, percentage, and Zero Inflated Negative Binomial (ZINB) regression. Data were analyzed using R programming v.4.1.2 and p < 0.05 was considered to be statistically significant. The result showed 35.4% under-5 mortality out of the 33,924 infant mortality sample data that were collected. The findings revealed maternal age, regions (North East and North West), maternal education (no education), wealth index (poorest households), and size of child at birth (very small birth size) as significant factors associated with under-5 mortality in Nigeria. The results also showed that the odds of under-5 mortality increase as the age of the mother increases. Therefore, the Nigerian government should understand that poverty is not just an economic problem but also a significant factor in health; as a result, the battle against poverty needs to receive the necessary attention. Keywords: Under-5 mortality; World Health Organization; Zero inflated distribution; Risk factors; Nigeria.
The Causal Links Between Urbanization, Energy Use And Carbon Emissions: A Case Of Sadc Region, Pendo T Kivyiro
The Causal Links Between Urbanization, Energy Use And Carbon Emissions: A Case Of Sadc Region, Pendo T Kivyiro
Tanzania Journal of Science
The study aimed at examining the causal links between urbanization, energy consumption and carbon emissions in the case of selected SADC countries. The study employed annual time series data spanning from 1988 to 2020 extracted from the World Bank Development indicator Databank. A Pedroni cointegration test was employed to test whether the variables of interest move together in the long run. Granger causality backed with Full Modified Ordinary Least Squares (FMOLS) was used to detect the direction and the nature of causality among the variables of interest. The results from Pedroni cointegration test revealed that the variables move together in …
A Cloud Based Model Symbiotic Organism Search Algorithm For Placement Of Distributed Energy Resources In The Electrical Secondary Distribution Networks, Shamte Kawambwa, Daudi Mnyanghwalo
A Cloud Based Model Symbiotic Organism Search Algorithm For Placement Of Distributed Energy Resources In The Electrical Secondary Distribution Networks, Shamte Kawambwa, Daudi Mnyanghwalo
Tanzania Journal of Science
Abstract The increased penetration of distributed energy resources (DERs) technologies to residential users has fostered the need for DERs integration and control methods in the secondary distribution networks (SDN). In order to reap the potential advantages of DERs and achieve their inclusion in the electrical power system while avoiding their negative impacts, the DERs should be optimally placed and sized. Considering the nature of electrical networks and DER operations, the DERs placement is a nondeterministic polynomial hard (NP-hard) optimization problem. Metaheuristic algorithms are efficient for solving DER placement problems. Metaheuristic algorithms for DER placement in SDN involve high computational effort, …
Predictors Of Attrition From Care And Treatment Centres Among Hiv-Positive Pregnant And Breastfeeding Adult Women In Dar Es Salaam, Tanzania, Felix Elias, Nyimvua Shaban, Edwin Rutalebwa
Predictors Of Attrition From Care And Treatment Centres Among Hiv-Positive Pregnant And Breastfeeding Adult Women In Dar Es Salaam, Tanzania, Felix Elias, Nyimvua Shaban, Edwin Rutalebwa
Tanzania Journal of Science
In Tanzania, poor retention rates among pregnant and breastfeeding mothers continue to be a problem, contributing to a mother-to-child HIV transmission rate of 11% in 2019, compared to a global target of 5%. The goal of this study was to determine the influence of retention on clinical outcomes and identifying predictors of attrition among HIV-positive pregnant and breastfeeding women from follow-up care in Dar es Salaam. A retrospective cohort study included HIV-positive women who engaged in PMTCT services in public and private health facilities between January 2016 and December 2019. Secondary data were extracted from databases used for routine follow-up …
Dosimetric Comparison Between Two And Six Beams Conformal Radiotherapy Plans For Paediatric Wilm's Tumour Patients At Ocean Road Cancer Institute, Tanzania, Rashid M. Mruma, Nazima Dharsee, Christina V. Malichewe, Jumaa D. Kisukari, Geofrey F. Soko, Hemed S. Myanza, Furahini Yoram
Dosimetric Comparison Between Two And Six Beams Conformal Radiotherapy Plans For Paediatric Wilm's Tumour Patients At Ocean Road Cancer Institute, Tanzania, Rashid M. Mruma, Nazima Dharsee, Christina V. Malichewe, Jumaa D. Kisukari, Geofrey F. Soko, Hemed S. Myanza, Furahini Yoram
Tanzania Journal of Science
This study aimed to compare the dose distributions of three-dimensional conformal treatment planning using two and six radiation beams among paediatric patients receiving radiotherapy for Wilms tumour at Ocean Road Cancer Institute. CT scans of 53 patients were used to generate 106 treatment plans, 53 plans for two beams, and 53 plans for six beams. Planning target volumes and organs at risk parameters were compared between both plans using paired samples t-test. A p-value < 0.05 was considered statistically significant. The findings showed that the D95% and Dmean of the target are better with six beams than with the two-beam plans (p ˂ 0.001). The conformity index and monitor unit are significantly better with two-beam plans than with six-beam plans (p ˂ 0.001). No volume of the contralateral kidney received more than 12 Gy for both two and six plans. There were no differences in Dmax for the spinal cord (p = 0.208), while Dmean was observed to be lower in two compared to six beams (p ˂ 0.001) for the liver. Six beam plans have good target coverage, while two beam plans have good conformity index and monitor unit. The observed doses to the organs at risk in both plans were lower than their normal tolerance. Keywords: Wilm's tumour, Three-dimensional conformal radiotherapy, whole abdomen radiotherapy, paediatric radiotherapy, Dosimetry
Simulation Of Mathematical Model Of Network Interference On Global System For Mobile Communication, Yidiat O. Aderinto, Yusuf Musa
Simulation Of Mathematical Model Of Network Interference On Global System For Mobile Communication, Yidiat O. Aderinto, Yusuf Musa
Tanzania Journal of Science
Network interference is the incorporation of undesirable signals to desirable ones in an interconnected system. In this paper, the simulation of mathematical model of network interference with respect to global system of mobile communication is presented. The model was formulated and analyzed mathematically. Numerical simulation was carried out using real life data from Communication Towers Nigeria Limited, Northwest regional office Kaduna, Nigeria. The results obtained were very close to that of laboratory investigation. Keywords: Mathematical Model, Network, Interference, Congestion, Mobile communication, Stability
Short-Term Energy Load Forecasting Model With Sample Filtering, Ruthbetha Kateule, Lucas A. Sakala, Mahadia Tunga
Short-Term Energy Load Forecasting Model With Sample Filtering, Ruthbetha Kateule, Lucas A. Sakala, Mahadia Tunga
Tanzania Journal of Science
Short-term energy load forecasting is a crucial task in the power smart grid, which enables the power utilities to understand the future energy demands and plans to attain the demand and supply equilibrium, thereby optimizing power deployment and reducing power losses. Several techniques have been implemented to enhance energy load forecasting. However, the nonlinear nature of the data collected in the smart grid makes it difficult to attain 100% energy load forecasting accuracy. For instance, the Deep Feedforward Neural Networks model based on Input Attention Mechanism and Hidden Connection Mechanism has a mean absolute percentage error of 3.17%; model based …
Maintenance Scheduling Algorithm For Transformers In Tanzania Electrical Secondary Distribution Networks, Hadija Mbembati, Kwame Ibwe, Baraka Maiseli
Maintenance Scheduling Algorithm For Transformers In Tanzania Electrical Secondary Distribution Networks, Hadija Mbembati, Kwame Ibwe, Baraka Maiseli
Tanzania Journal of Science
The drive by the government of Tanzania to electrify every village has resulted into expansion of the electrical secondary distribution networks (ESDNs). Therefore, maintenance management is of the highest priority for the smooth operation of the ESDNs to reduce unscheduled downtime and unexpected mechanical failures. Studies show that condition-based predictive maintenance (CBPdM) method allows the utility company to monitor, analyze and process the information obtained from ESDNs transformers. Thus, this study adopts the CBPdM method to develop a maintenance scheduling algorithm that can predict the transformer state, forecast maintenance time based on transformer load profile and schedule its maintenance using …
Quantifying The Effects Of Guessing, Position Bias And Prior Knowledge In Multiple Choice Exams, Almasi S Maguya
Quantifying The Effects Of Guessing, Position Bias And Prior Knowledge In Multiple Choice Exams, Almasi S Maguya
Tanzania Journal of Science
“Can an examinee pass a multiple-choice (MC) exam by chance?” Many studies have tried to address this question. However, these studies ignore different types of position bias associated with picking an item from a list. Despite the presence of considerable evidence on the existence of position bias in guessing answers in MC exams, these studies assume an examinee chooses answers with equal probability. This paper seeks to fill this gap by quantifying the chance of success in MC exams due to guessing when different types of position bias and prior knowledge are taken into consideration. The paper proposes a probabilistic …
Explicit Solutions For Real-Time Reversible Inhibition Kinetics Using Lambert W Function: Towards Progress Curve Analysis, Geradius Deogratias, Makungu Madirisha, Fortunatus Jacob
Explicit Solutions For Real-Time Reversible Inhibition Kinetics Using Lambert W Function: Towards Progress Curve Analysis, Geradius Deogratias, Makungu Madirisha, Fortunatus Jacob
Tanzania Journal of Science
Accurate estimation of kinetic parameters is challenging due to the dynamics and mathematical nature of the chemical systems. This paper presents simple, yet efficient closed-form solutions for the enzymatic conversion of the substrate to the product in real-time derived using the Lambert W function. The real values of the Lambert W function were calculated from the Lambert package as implemented in MATLAB. The expressions exhibit remarkable robustness in estimating the parameters for randomized data at 1% to 4% variation in noise levels. Furthermore, unlike the initial rates method, the expressions estimate chemical kinetic parameters utilizing a full range of experimental …
Application Of Mobilenets Convolutional Neural Network Model In Detecting Tomato Late Blight Disease, Richard C Rajabu, Juma S Ally, Jamal F Banzi
Application Of Mobilenets Convolutional Neural Network Model In Detecting Tomato Late Blight Disease, Richard C Rajabu, Juma S Ally, Jamal F Banzi
Tanzania Journal of Science
Late blight (LB) disease causes significant annual losses in tomato production. Early identification of this disease is crucial in halting its severity. This study aimed to leverage the strength of Convolutional Neural Networks (CNNs) in automated prediction of tomato LB. Through transfer learning, the MobileNetV3 model was trained on high-quality, well-labeled images from Kaggle datasets. The trained model was tested on different images of healthy and infected leaves taken from different real-world locations in Mbeya, Arusha, and Morogoro. Test results demonstrated the model's success in identifying LB disease, with an accuracy of 81% and a precision of 76%. The trained …
Effects Of Long Acting Oxytetracycline On Contagious Bovine Pleuropneumonia Experimentally Infected Cattle, Beatrice Otina, Philip Kitala, Moses Olum, Alexander Kipronoh, Lizzie Chesang’, Kristin Stuke, Hezron Wesonga
Effects Of Long Acting Oxytetracycline On Contagious Bovine Pleuropneumonia Experimentally Infected Cattle, Beatrice Otina, Philip Kitala, Moses Olum, Alexander Kipronoh, Lizzie Chesang’, Kristin Stuke, Hezron Wesonga
Tanzania Journal of Science
Contagious bovine pleuropneumonia is an important disease of cattle. Many strategies employed for its eradication and control have had shortcomings. This study was conducted to determine the effects of long acting Oxytetracycline on its course. The study involved 30 indigenous zebu cattle sourced from an area free of the disease, infected by contact transmission and randomly allocated to Oxytetracycline or saline treatment groups. Clinical observations were recorded on the two groups concurrently. Cattle were tested for the disease using complement fixation test. The mean clinical scores of the groups for each observation was compared post treatment on GENSTAT using unpaired …
Modelling The Impacts Of Immigrants On Covid 19 Transmission Dynamics With Control Measures, Alfred K. Hugo, Goodluck M. Mlay, Moses B. Kabigi
Modelling The Impacts Of Immigrants On Covid 19 Transmission Dynamics With Control Measures, Alfred K. Hugo, Goodluck M. Mlay, Moses B. Kabigi
Tanzania Journal of Science
The COVID-19 pandemic began in Wuhan City in the Hubei province of China in December 2019. The disease spread quickly in many countries around the world due to mobility of people from one location to another. As a result, a COVID-19 mathematical model with the impacts on immigrants was proposed to study its transmission dynamics and possible control measures. The reproduction number was determined by using the next-generation technique and found to be 0.636, indicating that the transmission could be minimized in the community if all immigrants were effectively controlled. The Pontryagin's Maximum Principle was applied in analysing control strategies …
Dynamical Analysis And Control Strategies For Capturing The Spread Of Covid-19, Mutairu K. Kolawole, Kazeem A. Odeyemi, Adedapo I. Alaje, Asimuyu O. Oladapo, Kehinde A. Bashiru
Dynamical Analysis And Control Strategies For Capturing The Spread Of Covid-19, Mutairu K. Kolawole, Kazeem A. Odeyemi, Adedapo I. Alaje, Asimuyu O. Oladapo, Kehinde A. Bashiru
Tanzania Journal of Science
In this paper, a study of preventive measures capable of curbing the spread of COVID 19 pandemic to avoid its second wave was carried out. The existence and uniqueness of the proposed mathematical model is assured, the basic reproduction number is established, the local and global stability of the disease free equilibrium are well obtained and the variational iteration method is applied to solve the mathematical model. Numerical simulation of the included control parameters are carried out. The obtained results and outcomes are presented graphically. It was revealed that enlightenment to vaccination awareness should be encouraged as vaccination is a …
Evaluation Of Natural Radioactivity And Radiation Hazards Of Soils Around Petroleum Products Marketing Company Using Gamma Ray Spectrometry, Dayo A. Ayeni, Festus M. Adebiyi
Evaluation Of Natural Radioactivity And Radiation Hazards Of Soils Around Petroleum Products Marketing Company Using Gamma Ray Spectrometry, Dayo A. Ayeni, Festus M. Adebiyi
Tanzania Journal of Science
This study aimed at evaluating natural radioactivity and radiation hazards of soils around a petroleum product marketing company due to anthropogenic influences using gamma ray spectrometry. Top soils (5 cm deep) were collected from diverse locations inside the premises of the Company using standard analytical technique, while control samples were acquired at approximately 200 m from the study area. Mean activity concentrations of the radionuclides in the test soils were 89.36 Bq/kg for 40K, 92.1 Bq/kg for 238U and 10.95 Bq/kg for 232Th, which are more than that of control samples with statistically significant differences. Assessment of the radiological levels …
Factors Influencing The Choice Of Place Of Delivery Of A First Child Among Nigerian Women, Olakiitan I Adeniyi, Nathanael B Afolabi, Adesupo A Akinrefon, Ifeyinwa V Omekam, Ifeoluwa R Olonijolu
Factors Influencing The Choice Of Place Of Delivery Of A First Child Among Nigerian Women, Olakiitan I Adeniyi, Nathanael B Afolabi, Adesupo A Akinrefon, Ifeyinwa V Omekam, Ifeoluwa R Olonijolu
Tanzania Journal of Science
Among the factors responsible for maternal deaths in developing countries is complications during pregnancy and childbirth, and as such, the choice of place for delivery is vital as the quality of attention received can either aid or reduce the risks attached to child bearing. This study seeks to statistically model factors that determine the place of delivery in Nigeria among women of reproductive age taking into consideration possible nesting structure in the mode of data collection. A two-level hierarchical multilevel logistic model with the individual women as the lower level and the state of residence as the second level was …
Modelling Internet Traffic Streams With Ga/M/1/K Queuing Systems Under Self-Similarity, Jumoke Popoola, Olusogo J Popoola, Oyebayo R Olaniran
Modelling Internet Traffic Streams With Ga/M/1/K Queuing Systems Under Self-Similarity, Jumoke Popoola, Olusogo J Popoola, Oyebayo R Olaniran
Tanzania Journal of Science
High-intensity concurrent arrivals of request packets in Internet traffic can cause dependence of event-to-event-times of the requests being served, which causes non-memoryless, modelled with heavy-tail distributions unlike common known traffics. The performance of Internet traffic can be examined using analytical models for the purpose of optimizing the system to reduce its operating costs. Therefore, our study examined a Ga/M/1/K Internet queue class (Gamma arrival processes, Ga; with memoryless-Poisson service process, M; a single server, 1, and K waiting room) and proposed specific derivations of its performance indicators. Real-life data of a corporate organisation Internet server was monitored at both peak …
A Mathematical Model And Sensitivity Analysis Of Lassa Fever With Relapse And Reinfection Rate, Latifat M Erinle-Ibrahim, Olukayode Adebimpe, Waheed O Lawal, Joshua O Agbomola
A Mathematical Model And Sensitivity Analysis Of Lassa Fever With Relapse And Reinfection Rate, Latifat M Erinle-Ibrahim, Olukayode Adebimpe, Waheed O Lawal, Joshua O Agbomola
Tanzania Journal of Science
In this research paper, we depict an unprecedented four-dimensional ordinary differential equation modeling the dynamic transmission of the Lassa fever virus incorporating relapse and reinfection rate. Recent studies showed that the recovered individuals from Lassa fever can again be susceptible; which contradicted the common assumptions made by different researchers on modeling of Lassa fever. So, this article corrects and states the implications of the assumptions on the population density. The numerical simulations unveil the effect of relapse, reinfection, and treatment rate in the affected population. Performing sensitivity analysis suggests all new incorporated parameters can impact the infection dynamics substantially. The …
Mathematical Model Of Covid-19 Transmission Dynamics With Double Dose Vaccination, Tawakalt A Ayoola, Mutairu K Kolawole, Amos O Popoola
Mathematical Model Of Covid-19 Transmission Dynamics With Double Dose Vaccination, Tawakalt A Ayoola, Mutairu K Kolawole, Amos O Popoola
Tanzania Journal of Science
This research attempted to investigate the effects of double dose vaccination in a non-linear mathematical model of Covid-19 infections with special compartments class termed first and second dose vaccination. The basic reproduction number was obtained, the stability of the model was analyzed, and the sensitivity analysis was also carried out. Of interest is the numerical simulation of the model where the impacts of contact rate, first and second dose vaccination were studied. The obtained results recommended how to control the corona virus keeping in mind the contact rate and vaccination. Keywords: Covid-19, Double dose Vaccination, Basic Reproduction Number, Global Stability
Modelling And Performance Analysis Of Hydrocyclones: The Case Of Buzwagi Gold Mine, Alphonce Wikedzi, Thomas Mütze
Modelling And Performance Analysis Of Hydrocyclones: The Case Of Buzwagi Gold Mine, Alphonce Wikedzi, Thomas Mütze
Tanzania Journal of Science
The performance of hydrocyclones at Buzwagi Gold Mine (BGM) was investigated in three full scale survey campaigns. Thereafter, several empirical and theoretical hydrocyclone models were used for prediction of hydrocyclone performance. The survey data revealed poor performance of the grinding circuit caused by a circulating load higher than the design. Further, the poor performance of the grinding circuit had consequences on hydrocyclones overflow particle size (i.e. a much coarser product, xP,80 > 200 µm) than target (125 µm). In addition, the operation indicates overloading of the hydrocyclones due to feed rates being 10–18% above the design capacity. Apart from their deficiencies, …
Distribution And Pattern Of An Insurance Health Claim System: A Time Series Approach, Maxwell Mashasha, Praise Mutize, Felix Mazunga
Distribution And Pattern Of An Insurance Health Claim System: A Time Series Approach, Maxwell Mashasha, Praise Mutize, Felix Mazunga
Tanzania Journal of Science
There is a continuous increase in health costs, thereby increasing pressure on individuals and consequently making the amounts claimed by the insured to be on the increase. In this study, data was collected from a large local insurance company in Zimbabwe for the period from January 2012 to December 2016. The aim of this study was to analyse the distribution and future pattern of insurance health claim system using time series approach. Akaike information criterion and Schwarz Bayesian criterion were used to select the adequate model through maximum likelihood estimation methods. ARIMA (0, 0, 0) (1, 0, 1) [12] is …
The Role Of Agricultural Social Enterprise To Smallholder Farmers’ Adaptive Capacity To Climatic Stresses In Tanzania, Stanley G Kulanga, Noah M Pauline
The Role Of Agricultural Social Enterprise To Smallholder Farmers’ Adaptive Capacity To Climatic Stresses In Tanzania, Stanley G Kulanga, Noah M Pauline
Tanzania Journal of Science
This paper intended to ascertain the implications of agricultural social enterprise on the adaptive capacity of smallholder farmers to climatic stresses in the Kilolo District, Tanzania. The study used a sample of 90 households. Household questionnaires, focus group discussions (FGD), and key informant interviews were used to collect primary data for this study. Secondary data were collected through a review of literature relevant to this study. The content analysis was used to analyse qualitative data, whereas quantitative data were subjected to Statistical Product and Service Solution (SPSS) version 20 for analysis. Microsoft Excel 2007 was used to analyse rainfall and …
Mathematical Modelling Of Syphilis Transmission Dynamics: Impacts Of Mass Media Report, Risky Sexual Behavior And Treatment, Gasper G. Mwanga
Mathematical Modelling Of Syphilis Transmission Dynamics: Impacts Of Mass Media Report, Risky Sexual Behavior And Treatment, Gasper G. Mwanga
Tanzania Journal of Science
Syphilis is one of the deadly sexually-transmitted diseases. This paper studied the impacts of sexual behavior, mass media report and treatment of infected individuals on the dynamics of syphilis transmission. The analytical and numerical analyses of the model are presented. The disease free equilibrium of the model is both locally and globally asymptotic stable when the associated reproduction number is less than unity. Analysis of the Reproduction number shows that it is not possible to control syphilis disease transmission if the rate of individuals practicing risky sexual behavior is high. Furthermore, the treatment of late (latent and tertiary) syphilis infection …
Investigation Of The Effects Of Some Statistical Data Components On The Selection Of Optimum Smoothing Constant, Musibaudeen O. Idris, Busayo S. Adeboye, Buliaminu Kareem, Godwin C. Enwerem, Selimot A. Adekanye
Investigation Of The Effects Of Some Statistical Data Components On The Selection Of Optimum Smoothing Constant, Musibaudeen O. Idris, Busayo S. Adeboye, Buliaminu Kareem, Godwin C. Enwerem, Selimot A. Adekanye
Tanzania Journal of Science
Simple exponential smoothing is one of the best forecast methods, especially for time series data. Its efficacy depends on a parameter called smoothing constant (α) which, if optimally determined, minimises the mean square error (MSE), the mean absolute error (MAE) and the mean absolute percentage error (MAPE). The widely used method for selecting the optimum smoothing constant is to conduct a grid search within a wide range of possible values of α using the trial-and-error method. Not only that this method involves the knowledge of advanced statistical processes, but it is also time-consuming, and its results are limited to the …
Resource Efficient Advanced Metering Infrastructure Model, Josephina Kimambo, Kwame S Ibwe, Ellen Kalinga, Abdi T. Abdalla
Resource Efficient Advanced Metering Infrastructure Model, Josephina Kimambo, Kwame S Ibwe, Ellen Kalinga, Abdi T. Abdalla
Tanzania Journal of Science
Advanced Metering Infrastructure (AMI) enables two-way communication between smart devices and utility control centers. This involves remote monitoring and control of energy consumption as well as other parameters in the electrical power network in real time. However, increasing technologies in AMI due to huge deployment of smart meters, integration of devices and application of sensors, demand a strong architectural model with the best network topology to guarantee efficient usage of network resources with minimal latency. In this work, a resource efficient multi-hop network architecture is proposed using hybrid media access protocols. The architecture combines queuing and random-access protocol to achieve …