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Page will reload when a filter is selected or excluded.- General 3 results 3
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- Cancer can affect any part of the body and occur in people of any age or sex. Cancerous growth can be contained if medical help is sought at the first sign of its symptom. This study examined the impact of cancer education intervention on knowledge, attitude and preventive behaviour of students in selected female secondary schools in Ibadan. The instruments used for the study were a self- developed cancer education package, a breast self-examination model and a cancer knowledge attitude and behaviour inventory (CKABI) which was tested with Crombach alpha and a reliability coefficient of r = 0.96 was obtained. Cancer education was found to significantly influence the experimental group's knowledge, attitude and cancer preventive behaviour. It was recommended that cancer education should be included in the health education curriculum of secondary schools, to equip students on how to adopt cancer preventive attitude and behaviour. 2 results 2
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- Permeability anisotropy 2 results 2
- Reliability indices are considered to be reasonable and logic ways to judge the performance of an electric power system. Reliability indices which are proposed by the IEEE are used to evaluate the performance of selected distribution systems on the national grid. Ten years of outage data (1998 - 2007) from seven selected distribution systems on the national grid were used as case studies in this research work. A generalized model is developed for a quantitative evaluation of relative indices of the national grid system. The development of the model stated with identification of the system reliability indices and estimating the contributions of system indices to the failure rate of the selected distribution system on the national grid. The computed system reliability indices are used as input parameters for the generalized model. Relative CAIDI index is computed by simulation using MATLAB 7.7 which automatically generates the graph of the relative CAIDl against names of feeders. The percentage average relative CAIDls for Ibadan, Port-Harcourt and Benin distribution systems are 71.86%, 52.79% and 75.79% respectively, thus, average reliability levels. Ilorin, Ikeja, Kaduna and Kano distribution systems have percentage average relative CAIDls of 11.95%, 39.76%, 40.17% and 41.08% respectively with poor reliability levels. With the aid of curve fitting (cf) tools, two distinct model equations were developed from which a generalized model is formulated for a quantitative evaluation of reliability indices of the national grid. The generalized model is a polynomial function whose order depends majorly on the level of industrialization of the distribution systems and the number of distribution feeders. 2 results 2
- Religious Organisation 2 results 2
- Reservoir performance 2 results 2
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- School facilities 2 results 2
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- Spatial Data 2 results 2
- Students' poor performance in science generally and Agricultural science in particular has been considered a serious problem in senior secondary school education by the major stakeholders in spite of various governmental efforts and instructional resources employed in the classroom to teach. The study carried out empirical investigation on school facilities, parental subject perception and teachers' professionalism as correlates of students' learning outcome in Agricultural Science. Four research questions that were raised and answered. This study adopted survey design of correlational type. Purposive sampling technique was used to sample 40 SS2 students per school and 400 parents of agricultural students as well as 20 teachers giving a total of 820 respondents. The three independent variables include school facility, parent subject perception and teachers’ professionalism while the dependent variable is student learning outcome in Agricultural Science. The four instruments for data collection are: School Facilities Inventory (SF!) (r=0.86), Teachers' Professionalism Questionnaire (TPQ), (r=0.71), Parental Subject Perception Questionnaire (PSQ) (r =0.76) and Agricultural Science Achievement Test (ASAT) with reliability coefficient of 0.83. Inferential statistics was used to analyse the data collected. Results revealed a positive and negative significant relationship among the predictors (School Facility (r = .0.248, p< 0.05), Parental Subject Perception (r a -.0.244, p< 0.05) and Teachers' Professionalism (r = .0.250, p<0.05). Moreover, there is a positive multiple correlation among the three predictors(R = 0.343). Also, the model was found to be statistically significant (F 0, 3%) = 17.651, p < 0.05). It is therefore recommended that teachers should ignite student interest and increase student motivation to learn by making connections between what the students are learning and what is going on in their own lives. 2 results 2
- Students’ learning outcome 2 results 2
- Teachers’ skills 2 results 2
- Temperature Dryness Vegetation Index 2 results 2
- The role of soil moisture in the survival and growth of trees cannot be overemphasized and it contributes to the net productivity of the forest. However, information on the spatial distribution of the soil moisture content regarding the tree volume in forest ecosystems especially in Nigeria is limited. Therefore, this study combined spatial and ground data to determine soil moisture distribution and tree volume in the International Institute of Tropical Agriculture (IITA) forest, Ibadan. Satellite images of 1989, 1999, 2009 and 2019 were obtained and processed using topographic and vegetation-based models to examine the soil moisture status of the forest. Satellite-based soil moisture obtained was validated with ground soil moisture data collected in 2019. Tree growth variables were obtained for tree volume computation using Newton’s formular. Forest soil moisture models employed in this study include Topographic Wetness Index (TWI), Temperature Dryness Vegetation Index (TDVI) and Modified Normalized Difference Wetness Index (MNDWI). Relationships between index-based and ground base Soil Moisture Content (SMC), as well as the correlation between soil moisture and tree volume, were examined. The study revealed strong relationships between tree volume and TDVI, SMC, TWI with R2 values of 0.91, 0.85, and 0.75, respectively. The regression values of 0.89 between in-situ soil data and TWI and 0.83 with TDVI ascertain the reliability of satellite data in soil moisture mapping. The decision of which index to apply between TWI and TDVI, therefore, depends on available data since both proved to be reliable. The TWI surface is considered to be a more suitable soil moisture prediction index, while MNDWI exhibited a weak relationship (R2 = 0.03) with ground data. The strong relationships between soil moisture and tree volume suggest tree volume can be predicted based on available soil moisture content. Any slight undesirable change in soil moisture could lead to severe forest conditions. 2 results 2
- The study investigated how some teacher variables such as qualification, teaching experience in integrated science, area of specialization, gender teacher's knowlegde of the objectives of integrated science, teaching strategies employed and their assessment practices determine or predict achievement in integrated science. To do this, an eight variable model was constructed and tested in order to provide casual explanations of achievement in integrated science. Forty teachers and five hundred students randomly selected from twenty schools in Oyo state were involved in the study. Data collection was carried out using three instruments with reliability coefficient ranging from 0.72-0.08. Data analysis was carried out through the multiple regression analysis procedure and path analysis techniques. The results indicates that the seven predictor variables accounted for 17. 6% of the variation in the criterion variable. Out of this, having the knowledge of the objectives of the programme contributed most followed by the qualification of the teacher. The implications of all these for professional development is also discussed. 2 results 2
- This paper presents the application of Artificial Neural Network (ANN) in modeling the heat transfer coefficient of a staggered multi-row, multi-column, cross-flow, tube-type heat exchanger. Heat transfer data were obtained experimentally for air flowing over a bank of copper tubes arranged in staggered configuration with 5 rows and 4 columns at different air flow rates with throttle valve openings at 10 - 100%. The Reynolds number and the row number were used as input parameters, while the Nusselt number was used as output parameter in training and testing of the multi-layered, feed-forward, back-propagation neural networks. The network used in this study was designed using the MATLAB® Neural Network Toolbox. The results show that the accuracy between the neural networks predictions and experimental values was achieved with Mean Absolute Relative Error (MRE) less than 1 and 4% for the training and testing data sets respectively, suggesting the reliability of the networks as a modeling tool for engineers in preliminary design of heat exchangers. 2 results 2
- Understanding the basic mechanisms that govern flow of hydrocarbon in any given reservoir situation is necessary in developing reliable methods of predicting behaviour in that reservoir. Most reservoirs in Agbada Formation of the Niger Delta Basin are anisotropic and therefore heterogeneous, which is a vital parameter in the efficient production of hydrocarbons. This work looked at the effect of permeability anisotropy (Kv/Kh) or heterogeneous distribution and its effects on reservoir performance using windows based IPM-MBAL petroleum engineering software. Results analysis revealed that anisotropy makes reservoir production modelling more realistic than the isotropic scenarios, and degree of heterogeneity improves oil recovery from the reservoir (Kv/Kh = 1, R.F = 49.31%; Kv/Kh = 0.1, R.F = 49.95%; Kv/Kh = 0.001, R.F = 50.60%; Kv/Kh = 0.0001, R.F = 51.24%). Reservoir heterogeneity should be included in reservoir modelling practices because it has a significant effect on hydrocarbon production. 2 results 2
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