Energy Saving of Air Condition using Fuzzy Control System over Zigbee Temperature Sensor

[[abstract]]In the use of air conditioning system, way to reach a more comfortable and energy-saving effect is the goal pursued constantly by people in the 21th century. In this paper, we will build an experimental environment, and stored the temperature and humidity coefficient, which are measured through each sensor in the surrounding environment, in the database. Apart from traditional single-point temperature sensitivity, we build multi-point of Zigbee sensing to measure the data of temperature and humidity in the surrounding environment, and to increase comfort and to decrease unnecessary energy waste. In recent years, fuzzy theory has been widely used in auto control, image recognition, decision making analysis, timing sequence signal processing; especially in controller design, fuzzy theory gradually become the best way to design the controller. Thus, use fuzzy theory to control air conditioning system is helpful for achieving more comfortable environment. Using fuzzy rule to calculate the membership grade, and control air conditioning system according to the most suitable operation speed of the environment. Thus, in this research, using multi-point sensing network and fuzzy theory and to control air conditioning system effectively achieve a more comfort environment and a energy-saving effect.[[conferencetype]]國際[[conferencedate]]20100420~20100423[[iscallforpapers]]Y[[conferencelocation]]Perth, Australi

Fuzzy logic control for camera tracking system

A concept utilizing fuzzy theory has been developed for a camera tracking system to provide support for proximity operations and traffic management around the Space Station Freedom. Fuzzy sets and fuzzy logic based reasoning are used in a control system which utilizes images from a camera and generates required pan and tilt commands to track and maintain a moving target in the camera's field of view. This control system can be implemented on a fuzzy chip to provide an intelligent sensor for autonomous operations. Capabilities of the control system can be expanded to include approach, handover to other sensors, caution and warning messages

Application of Discrete Sets in the Risk Theory

The paper presents an application of the fuzzy sets theory and of the subtle sets in order to evaluate the bankruptcy risk of an organization. The main influence factors of the two antithetical concepts: the gain and the risk of an organization are set. Then, the membership degree of firm activity to gain, respectively to risk is evaluated and the comparison is made. Thus, it results either a favorable condition or a risk of bankruptcy. A numerical application is presented, with a view to understand the described method.systematic risk; fuzzy theory; dynamic index; average index; discrete sets theory