Exploitation of radio direction finder in the design of a UHF transmitter locator system

This paper outlines how the direction finder technology was exploited in the design of a device; capable of locating the where about of a UHF transmitter. The value of amplitude and frequency of the signal were employed in the determination of the signal source direction. The study emphasized on the utilization of low cost components. The assembled prototype offers 22.5° bearing coverage. The determination of the direction was achieved by differentiating the received frequency signal involving multiple antenna arrays. Direction of transmitter was determined by making the receiver antenna arrays emulating condition of motion with the use of antenna switcher. Received signals were converted into tones where larger signal amplitude translates to louder tone. Antenna arrays were arranged in specific manner where the tone volumes were compared and the direction within 360° position was determined. The result suggests that the system can provide the detection coverages up to 22.5 degree which is better than the existing solutions in terms of equipment selection, cost, and coverage

A test-bed evaluation of cognitive hybrid functionality for future hyper-dense networks

This paper proposes a cognitive hybrid function mechanism to intelligently select reliable network and efficiently adjust transmission power while maintaining good quality of service. This combination defines our proposed hybrid functionality. It can be applied to an access point that has multiple choices of network and transmission power modification. By employing such mechanism in closed-proximity network, we observe performances in terms of optimized speed and throughput of the user device. Results were obtained from several empirical laboratory studies by incorporating this mechanism into a hardware in contrast to many studies that just adhered to computer simulations. It was found that selecting reliable network had shown a better optimized speed performance up to 37% improvement as compared without such function. In terms of power adjustment, our evaluation of this mechanism can maintain the same level of throughput at reduced power of about 5 dB than the previous higher transmit power

Cognitive energy efficient for closed-proximity devices: an empirical study and standardization issues

We describe an empirical study findings on the impact of throughput performance when transmission power is adjusted among access points in closed-proximity network devices. The experiment was conducted in an office environment to emulate such wireless LAN network. We introduce a potential energy efficient mechanism based on cognitively learning one of the attributes which then triggers the power selection. We show that similar throughput performance at the client can be obtained at reduced transmission power thus prevent an access point from maximizing power unnecessarily. We have also evaluated the impact of increasing and reducing power to other neighbouring access points. It was found that the improvement of throughput is increased to 44% maximum. Throughput performance alert is introduced in the mechanism to be aware of sudden throughput changes in the system

Impact of outdated CQI report on adapted well-known packet scheduling algorithm when streaming video

Given that there are overgrowing demands for video streaming application in the downlink Long Term Evolution Advanced (LTE-A), effective scheduling of these delay-sensitive real-time packets are critical. However, there remains a challenge where (re)transmission of video packets in the downlink LTE-A may subject to numerous impairments including outdated Channel Quality Information (CQI) report. This paper studies the impact of outdated CQI on the adapted Maximum-Largest Weighted Delay First Performance (M-LWDF) namely Adapted M-LWDF1 (AM1) and Adapted M-LWDF2 (AM2) algorithms. Note that the AM1 algorithm chooses a user first then (re)transmit packets to the selected user on the best mobile cellular channels whereas scheduling decision in AM2 algorithm is made on per mobile cellular channel basis. Simulation results demonstrate the robustness of the AM2 algorithm in minimizing the detrimental effects due to outdated CQI report when streaming vide

Analyses of rainfall rate during Malaysian 2014 flood event

An analysis based on rainfall rate characteristics has been carried out to estimate flood occurance. In this paper, we analyzed the rain gauge data for 5 different rain gauge stations. 14 days acquired data covering events before, during and after the flood tragedy in Malaysia. The analysis of the rain gauge data was processed on precipitation phenomena observed in year 2014 in Kota Bharu, Kelantan (Malaysia) from 13 December until 26 December. The data was acquired from the Malaysian Drainage and Irrigation Department (DID). The objective of the research is to derive the tropical flood estimation model using rain gauge data in Malaysia. Among the preliminary result shows that the average rainfall rate at kota bharu is 204.5 mm/hr during the flood traged

Analyses of cloud characteristic during Malaysian 2014 flood event

Floods refers to the condition of great overflow of water over a dry land. In malaysia, monsoon flood which cause by the heavy rain in monsoon seasons regularly hits the country. A criteria of the cloud based on horizontal and vertical profile of radar reflectivity have been analyzed in this paper to estimate flood event. The values of the thickness and the size of the cloud are estimated from the analysis. In this paper, we analyze the river basin data and radar data in the duration of flooding time, T for the specific area covered by meteorological radar and rain gauge data. The procedure was applied to 14 days precipitation phenomenon observed in Kota Bharu, Kelantan (Malaysia) from 13 December 2014 until 26 December 2014. The objective of this paper is to analyse the distinctiveness of the cloud during flood events. The result shows that during the critical time of flood disaster, the cloud shows largest size of 13070.6 km2 and the thickness appeared to be the largest at almost 10.2 km during the beginning of the rain fall. The analysis helps us to understand the cloud characteristics hence in future flood estimation model can be constructed and modelled