Volume XI Issue IV

The study used a hedonic pricing model to examine the effect of location and neighborhood characteristics on residential rental income in Ilorin metropolis, to develop a model that analyzes the impact of location and neighbourhood on housing rental income in Ilorin metropolis. It collected field data using a standardized closed-ended questionnaire that was distributed across the Ilorin metropolis using stratified simple random. The data were examined using a descriptive statistics table and simple random sampling utilizing a statistical tool for sciences (SPSS 22). A total of 200 surveys were distributed, with 126 valid questionnaires used for the study. According to the study results, the neighbourhood features (market, educational facilities, access road, and communication facilities) are in good shape. The results also suggest that residential rental properties are positioned quite close to places of worship, markets, transit facilities, access roads, and workplaces in terms of locational qualities. According to the data, most of the physical features of residential rental properties (floor, room size, ceiling, roofing, ventilation, doors, walls, toilet facilities, electric appliances, finishing, and kitchen) are in excellent condition. According to the findings, the Taiwo neighbourhood commands the highest rent, followed by Muritata, Unity Road, and G R A. The research region's rental value variance was influenced by neighbourhood amenity and proximity to the economic area, and physical features (internal). According to the findings, neighbourhood facilities should be supplied, and existing ones should be upgraded. Investors should concentrate their efforts in areas near economic hubs. Finally, property investors should consider physical attributes critical when investing.

Forest cover change can be occurred both by combining with natural influence and also anthropogenic activities. National parks can be identified as unique and the protected area for the fauna and flora species. Both natural and anthropogenic factors may have negative impact on floral and faunal populations in the national parks of Sri Lanka. Therefore, identification of the changes and conservation of biodiversity of national parks is timely valuable. GIS is a more effective tool for identifying the change detection of forest cover. The aim of this study was to explore the spatial and temporal changes of forest cover in Minneriya National Park between 2000-2014. This research is mainly based on secondary data of land use maps especially the maps available for 2000 & 2014. The maps can be created by adopting classification and digitization. By overlaying these two maps it could be identified the changes of forest cover within the fourteen-year period from 2000 to 2014. It was possible from this exercise to observe the spatial and temporal changes of the forest area in the park. In the year 2000 forest cover was 42.67 km2 and it was 36.65 km2 in 2014 showing a reduction of 14%. The Scrub area has increased. In 2000 it was 21.2 km2 and in 2014 it came up to 27.83km2 showing an increase of 31%. In the year 2000 tank area was 22.89 km2, which was reduced down to 22.37 km2 by 2014. The real reasons for these changes need to be examined using field studies and impact on terrestrial and aquatic biodiversity should be considered carefully as the land area is devoted to a National Park of Sri Lanka.

Heart abnormality refers to the irregular electrical activity of the heart. Heart abnormality sometimes does not show any symptom and it is not sensible, and this may cause the heart to cease and stop functioning and thereby lead to sudden death. This paper attempts to develop a program that capable to detect the heart abnormality activity through the implementation of spectral analysis using SPSS. A dataset of heartbeat signals from electrocardiogram (ECG) from Heart-Statlog.arff will be used to test the network performance.

This study focuses on the validation of load profile and energy usage of Itie-Ikpe, a rural community located in the southern part of Nigeria, for the purpose of designing sustainable optimal hybrid renewable energy systems. A two-year monthly estimated load profile data was obtained from an energy distribution company, monthly averages and overall annual daily load demand of 557.59 kWh/d were determined using mathematical method while a field survey was conducted to obtain the actual load demand figure 562.25 kWh/d for the study community with a difference of 4.66 kWh/d. The two independent results were comparatively analyzed with the field survey result higher than the estimated value obtained from the energy distribution company by 0.84%. Findings also showed that the error margin or difference was relatively negligible with little or no significant effect on the design of the optimal hybrid renewable energy system. Therefore, the daily load demand figure from the field survey result validated the average daily load demand value determined from the obtained estimates. This validation is a crucial step in designing an optimal hybrid renewable energy system for energy sustainability of the study community, as the modeling and selection of systems components of the hybrid renewable energy system depends on the knowledge of accurate average daily load demand in order to avoid design of ineffective energy systems whose performances might not be optimal.

A material description of oil palm empty fruit bunch fibre and high density polyethylene (OPEFB-HDPE) composites for microwave shielding applications was established by determining it reflection (S11) and transmission (S21) coefficient with respect to percentage and frequency. The proposed OPEFB-HDPE composites was studied at frequency from 8-12 GHz. The study was conducted using Waveguide Agilent N5230A PNA and Comsol software technique. The effect of different percentages (10%OPEFB-90%HDPE, 20%OPEFB-80%HDPE, 30%OPEFB-70%HDPE, 40% OPEFB-60%HDPE, 50%OPEFB -50%HDPE) and frequency (8-12 GHz) on S11 and S21 of OPEFB-HDPE composites were investigated. Results showed that the percentage of OPEFB significantly influenced the reflection S11 and transmission S21 coefficient of OPEFB-HDPE composites. Furthermore, the reflection S11 coefficient increased in magnitude with increased in OPEFB percentage and decreased with increased in frequency while the transmission S21 coefficient decreased in magnitude with increased in OPEFB percentage and increased with increased in frequency. The S11 and S21 of the smallest and largest percentage (10 and 50%) of OPEFB for RWG at smaller and bigger frequencies (8 and 12 GHz) were (0.6298 and 0.7912) and (0.7157 and 0.5699), the S11 of the smallest and largest percentage (10 and 50%) of OPEFB for FEM at smaller and bigger frequencies (8 and 12 GHz) were (0.6128 and 0.8217) and (0.8217 and 0.5673) respectively. The higher percentage of OPEFB filler the higher the reflection S11 coefficient, and the lower the transmission S21 coefficient. Also the higher percentage of HDPE host matrix the higher the transmission S21 coefficient and the lower the reflection S11 coefficient.

This paper proposes an ALOHA based Dynamic Framed Slotted ALOHA algorithms using analytical procedure to estimate the number of tags within the radio range of the reader, and Time Division Multiple access (TDFSA) to dynamically allocate number of slots per frame through which the tags send their response to the reader. The common algorithms used for anti-collision algorithm in RFID system is the Framed slotted aloha, however most of the previous algorithm suffer from optimum object identification especially when the number of tags progressively increase. It is therefore the aim of this paper to propose an algorithm that can adaptively estimate the communication channel size with variation in the number of tags. The performance of the proposed TDFSA (Time Division Framed Slotted ALOHA) is compared to DFSA (Dynamic Framed Slotted ALOHA) using simulation. Simulation results show that the proposed algorithm though increases latency compared to DFSA by 3% outperforms the DFSA in throughput by 29% especially n scenario where many tags are involved.