This project will present the design, construction, development, control and evaluation of an automatic function of electric fan. Fan is the important thing for circulation of air. The development of Automatic Mini Fan with Human Detector System by Using PIR Sensor presented in this project is required to fulfill the requirement of technologies today and it had been fabricate with new design. The automatic mini fan with two types of power supply which is Alternating Current (AC) and Direct Current (DC) can continuously function if one of the power supplies cannot be used. The human detection systems by using PIR sensor are implemented in this project and the detection range is up to 13 feet. The temperature sensors which maximum 70°C that are used in this project can automatically control the speed of fan up to 225 rpm. This automatic mini fan with human detection system contains combination of sensor, controller, motor and two types of power supply that controlled by Arduino UNO as the main controller. This project also presents the expected performance of the automatic mini fan with human detector system which the fan can rotate 0° to 180° and the construction of hardware and software development to gather the performance data. Finally, this project can give many benefits to people because it is portable and can save electricity. The result of this project becomes useful in the future.
This paper presents a novel study of evaluating non-ionizing effect of 2.45 GHz Wireless Body Area Networks (WBAN) radiofrequency (RF) electromagnetic fields (EMF) exposure on human physiological parameters and cognitive performance. The study aims to test the hypothesis whether exposure of 2.45 GHz WBAN radio electromagnetic fields may affect physiological parameters and cognitive performance of human. Twenty healthy volunteers are involved in the test and exposed to 2.45 GHz WBAN RF radiation, emitted by a planar textile monopole antenna. Physiological measures of body temperature, systolic blood pressure, diastolic blood pressure and heart rate are obtained, along with cognitive performance outcomes. Results indicated that no significant difference is observed in any of the three sessions (pre, exposure and post) for all physiological parameters, p > 0.05. Insufficient evident is found to indicate a difference in mean of all cognitive tests between WBAN RF and Sham exposure sessions, p's > 0.05.
Drying clothes on a clothesline is a method that is commonly used by most of the housewives. This is because this method is very efficient with low cost needed.Nevertheless, when there is a sudden rain, the effort of clothes drying will be in vain if the housewives are not aware of it. Hence, the development of an intelligent clothesline system that would be functioning according to the weather is needed to solve this issue. In this study, light dependent resistor (LDR) and rain sensor were installed to detect the change of the environmental condition and send the input signals to the Arduino microcontroller. The characteristics of the sensors would be studied to obtain the threshold values by measuring the voltages across both sensors in different conditions. The threshold values obtained were set in the program to allow the system to determine the brightness and availability of raindrops in the surrounding. The portable prototype was designed to have a large basearea for high stability. It was also allowed to be assembled and disassembled for storagepurpose with a few simple steps needed. The completed prototype was tested outdoor ondifferent environmental conditions. The DC motor would be activated and expose theclothes when the condition was bright and not raining. Else, the clothes would be coveredunder the roof designed. The results recorded from the prototype test showed that theintelligent clothesline system developed in this project was successful as it was able todetermine the suitable condition to dry clothes.
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