Previous studies have revealed that historical sites have impact on property value. However, none of the previous studies have forecasted the impact of historical site on residential property value using a classification model. Data for the study were gathered from the record of recent letting in the study area. For the purpose of precision, this study adopted artificial neural network, logistic regression and support vector machine as model of classifying the rental value of residential property in Osogbo, Nigeria. The study considered relevant variables which include distance to cultural site, age of building, state of exterior and state of interior as input variables. Findings from the study revealed that the three adopted forecasting models have over 80% percent of the forecasted properties correctly classified which make the property forecasting reliable.
With high speed access network technology like WIMAX, there is the need for efficient management of radio resources where the throughput and Qos requirements for Multicasting Broadcasting Services (MBS) for example TV are to be met. An enhanced feedback-base downlink Packet scheduling algorithm that can be used in IEEE 802.16d/e networks for mobile TV "one way traffic"(MBS) is needed to support many users utilizing multiuser diversity of the broadband of WIMAX systems where a group of users(good/worst channels) share allocated resources (bandwidth). This paper presents such enhanced downlink packet scheduler for mobile TV traffics in IEEE 806.16, whereby network Physical Timing Slots (PSs) resource blocks are allocated in a dynamic way to mobile TV subscribers considering the Channel State information CSI (CQI) feedback. It also considers users with worst/weak channels with the aim of improving system throughput while system coverage is being guaranteed. Change in the PSs bandwidth allocation to users and different number of users per cell sector are use to check the algorithm. Simulation results show our proposed algorithm performed better than other algorithms (blind algorithms) in terms of improvement in system throughput performance. Further work like above can be done for another traffic e.g. gaming traffics utilizing broadband technology of WIMAX.
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