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Mathematical and Software Engineering

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In this paper, the prediction performance evaluation of Stanford University Interim (SUI) Model and the extended SUI model are presented. More importantly, the effectiveness of two model tuning approaches, namely, RMSE-based tuning and multi-parameter tuning are assessed based on empirical pathloss data obtained for a suburban area in Uyo, Akwa Ibom state. Although the RMSE tuning is quite simple, the results showed that in some cases it does not minimize the prediction error to an acceptable level (6dB to 7dB) for practical applications. However, in the two models, the multi-parameter tuning effectively minimized the prediction error to an acceptable level with mean prediction error of about 0.00001dB, RMSE that are less than 2.45 dB and prediction accuracies above 98.2%. On the other hand, the RMSE-tuned models have mean prediction error of above ± 1.5dB, RMSE that above 8.8dB and prediction accuracies less than 94.3%. In all, the SUI model performed better than the extended SUI.

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In this paper, development of Differential Fade Depth with Path Length Adjustment (DFD-PLA) algorithm for calculating the optimal path length for fixed point terrestrial line of sight microwave communication link is presented. The optimal path length for such link is defined as the path length at which the maximum fade depth is equal to the available fade margin the communication system can accommodate at the given set of link parameters. The DFD-PLA algorithm involved iterative adjustment of the path length based on the difference between the effective maximum fade depth and the available fade margin the system can accommodate. Sample 12GHz microwave link is analyzed and the results show that after 28 cycle the algorithm converged when path length, free space path loss and maximum fade depth in the link dropped from their initial to optimal values of 19.9903 km to 5.8726 Km, 140.40 dB to 129.40 dB and 104.04 dB to 30.56 dB respectively.

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In this paper, an automated platform for managing result of all categories of students in a seamless and interactive manner is presented. The system was developed using PHP, CSS, HTML, MYSQL and was hosted locally using Apache web server. The software development methodology adopted is a participatory incremental process model (PIP Model). The data used were obtained from the Department of Electrical/Electronic and Computer Engineering, University of Uyo. Functional decomposition of the system and its key modules are provided to explain the major functionalities proffered by the system. Also, use case diagram is presented to show the different categories of the system users and the various functionalities associated the different system user. Screen shots of various system functionalities are presented from the test run of the functional system.

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The tremendous popularity of wireless technologies during the last decade has created a considerable expansion of wireless networks both in size and use. These facts, together with a great variety of mobile devices and numerous different services that are becoming increasingly resource-demanding, have attracted the attention of many researchers into the area of radio resource planning and optimization. In wireless cellular networks, it is important to develop model or schemes to facilitate effective and efficient utilization of the limited radio resources. In this paper, flowchart for call management scheme through users mobility control is presented. The flowchart along with the analytical expressions pertaining to the scheme are presented and discussed. Particularly, the scheme improves channel allocation to handoff calls for mobile users by considering the direction of their movement. The direction of mobile users with respect to a base station is captured in terms of mobility factor. The mobility factor increases as the user moves closer to a base station. In this case, even if the signal strength of ongoing call of a mobile user is sufficient, it channel allocation can still be retained if its mobility factor is relatively high. In this case, the mobile user will be handed off to the base station it has higher mobility factor value.

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In the GSM system, several Base Transceiver Station (BTS) are controlled by a single Base Station Controller (BSC). In this paper, the BTSs in a given BSC is referred to as a cluster. In this paper, flowchart for clustered-based channel allocation management scheme is presented. The mechanism is meant to reduce call blocking/dropping to the barest minimum. Usually, traffic intensity value varies from one BTS to another, as it is directly proportional to the number of GSM users that make or receive calls within a particular period of time. In order to maintain a reliable GSM network that will provide minimum call blocking/dropping, the paper presents the flowchart for network resource management scheme that will adopt sharing of traffic loads among BTSs that belong to a particular network cluster. The scheme also considers the following; available channels, mobility factor, offered traffic, number of nearby BTSs, new call arrival rate, handoff call arrival rate and mean call duration. With limited available channels per BTS, instead of blocking a new call or dropping a handoff call whenever a particular BTS reaches its maximum allowable capacity, this newly proposed scheme however checks for a nearby BTS within that cluster that has free channels, and then performs a routine operation that will transfer some percentage of the traffic load to the free nearby BTS. This routine operation therefore allows the BTS to admit more calls.

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In this paper, the development of Sales and Inventory Workflow Management Information System (SIWfMS) web portal for Petrospan Integrated Services, Eket, Akwa Ibom state, Nigeria was presented. Rapid Application Development (RAP) methodology is used in the web application development. Three-tier architecture based on WAMP server configuration was adopted. The WAMP server was made up of Windows Operating system; Apache web server, MySQL database system and PHP server-side scripting langue. The SIWfMS web application developed had five modules, namely, the Administrator Module, the Inventory Module, the Sales Officer Module, the Customer Module and the About Us. The system included activity or transaction log that enabled the implementation of audit trail mechanism. The SIWfMS web application was hosted locally and tested with some sample users and user-generated contents.

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In this paper, a polynomial model is developed for determining the winter season optimal tilt angle for fixed-tilt PV installations in Uyo metropolis, Akwa state of Nigeria. Satellite-derived NASA SSE solar radiation data was used in the study and the simulation was done using PVSyst software. The polynomial model is given as WTF(β)= -0.00013(β^2) + 0.00643(β) + 0.99991; where WTF(β) is the winter average transposition factor and β is the tilt angle in degrees. The model has prediction accuracy of 99.92% with root mean square error of 0.001267 and optimal winter season tilt angle of 24.73°. Furthermore, the study also did the comparison of the effect of using seasonal or yearly fixed tilt and seasonally adjusted tilt angle for the PV panel. The results show that the greatest yearly average transposition factor is obtained when the tilt angle is optimally adjusted to suit the Winter months during the Winter and to suit the Summer months during the Summer seasons.

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This paper presents a comparative analysis of two mechanisms for an automated categorization and moderation of User Generated Text Contents (UGTCs) on a social e-governance forum. Posts on the forum are categorized into "relevant", "irrelevant but interesting" and "must be removed". Relevant posts are those posts that are capable of supporting government decisions; irrelevant but interesting category consists of posts that are not relevant but can entertain or enlighten other users; must be removed posts consists of abusive or obscene posts. Two classifiers, Support Vector Machine (SVM) with One-Vs-The-Rest technique and Multinomial Naive Bayes were trained, evaluated and compared using Scikit-learn. The results show that SVM with an accuracy score of 96% on test set performs better than Naive Bayes with 88.6% accuracy score on the same test set.

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In this paper a rural electrification peak load demand forecast model was developed based on the readily available United Nation and World Bank data on the electric power consumption in KWh per capita, along with the population and land mass data of the rural community. Furthermore, in the situation where there is no available data on the land mass area, a web map applications can be used for computing the land mass area in Km^2 for the project coverage area. In this paper, the rural community used as the case study was Orji town in Owerri North local government area in Imo state, Nigeria. The forecast results showed that the part of Orji community that was considered in the study had landmass area of 2.4760387Km^2; a population of 2898 in 2015 and peak load demand of 81.14 KVA in the same year with 45% population having access to electricity. However, in 2025, the same part of Orji town will have a population of 3971.791 and peak load demand of 261.79 KVA with 75% population having access to electricity.

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In this paper, context model and preliminary context analysis are presented for a niche Social Network Web Application (SNWA) for combating HIV/AIDS related stigmatization. The contexts model show the stakeholders and how online social network aptly fits into an information system tool for combating HIV/AIDS related stigmatization were presented. The preliminary context analysis was conducted to understand the situated context of use for the SNWA that will be used to address the challenges of HIV/AIDS related stigmatization. Survey research method was used in the context analysis to provide the needed answers to the important questions about the situated context of use of the niche SNWA for combating HIV/AIDS related stigmatization. Some barriers to the development and adoption of the social network were identified. The context analysis results showed that, within the study area, people who live in both urban and rural settlements are willing to adopt a web-based solution to further enhance the fight against HIV/AIDS related stigmatization.