Applied Mechanics and Materials Vols. 427-429

Abstract: Air conditioner unit which is a significant part of central air-conditioning is a multiinput-multioutput system.Because the input quantity of it is related with each other and influenced by multifarious interference, an ideal control effect is unavailable by general control method. It is also the main unit of energy consumption, so the refrigeration effect and the energy consumption of the central air-conditioning are determined by the control effect and efficiency of it. A neural network model is made according to the unit of air handing and controlled by the strategy of fuzzy-PID. It is proved by experiment that favorable control effect is available in case that the fuzzy-PID control strategy meets requirements when either there is interference or the target quantity changes.

Abstract: The inversion stability of geological data can be enhanced by increasing the number of observation data or improving the accuracy of it. For the purpose of increasing the input parameters, the joint inversion algorithm based on Marquette’s method is introduced to the helicopter-borne electromagnetic system. Since double parameters of both the horizontal coplanar and vertical coaxial coils were taken into account, the stability of the inversion process is greatly improved. In fact, the joint inversion algorithm not only enhances the inversion’s stability, but also overcomes the limitation of the inversion with each single device in order to make the result closer to the real resistivity characteristics

Abstract: In order to solve the problem whether the wireless sensor network (WSN) nodes are quickly and reasonably arranged in the corn field, this paper proposes the prediction of wireless signal path loss in the corn field on the basis of generalized regression neural network. In this test, this paper takes carrier frequency of 433 MHz and 2.4GHz. According to the features of radio transmission, the corn is divided into three different growth period to measure the path attenuation. Attenuation value is the output Expectation value. Six influenced factors, namely the growth period, the transmitter antenna height, receiver antenna height, antenna gain , the carrier frequency and communication distance, are the input vectors. According to this, the GRNN prediction model is established.

Abstract: The system uses ARM to control the running of stepper motors,so as to obtain generated output of its solar panel at varied angles of elevation and azimuth. It can obtain the solar irradiance data and monitor the temperature behind the solar panel and humidity of air at the same time by different sensors. At last, the real-time data will be transmitted to computers by the wireless communication module: CC2540, displayed by an upper-computer-monitor software called LabView. This system has been proved to be feasible in designing the scheme of Building Integrated Photovoltaic, after a long-term analysis for accumulated data.

Abstract: The paper introduces the concept of Smart Home, and makes a relatively comprehensive research on the network system of Smart Home based on the present market status and technical standards. Compared to the present products with simple functions and less interaction, we bring up and implement a new Smart Home scheme with more reliability, high ratio of capability to price and considerable convenience.

Abstract: For the research of a query algorithm which is suitable for large-scale wireless sensor network should consider the energy consumption of nodes and the storage consumption of nodes. Through the simulation experiment of this algorithm can make the user adjust the merger rate according to the specific situation of network and the query, so as to ensure that the multiple queries in the processing are not affected by the limited cyber source.

Abstract: In order to improve the precision in the detection of egg fresh degree, an improved BP neural network ensemble method was proposed herein, where the K-means clustering was applied to optimize better neural network individuals and Lagrange multiplier was used to not only compute the weight of neural network individuals, forecast egg fresh degree (Haff value). Based on the image of eggs acquired by the machine vision device, taking color characteristic parameter (H, S and I) of the central area of the egg as input and Haff value of the egg as output, a model was constructed. With experimental verification, it was calculated that the mean square error of Haff value was 1.3764 and the generalization ability of the network was high.

Abstract: In order to improve egg hatchability with non-destructive identification of fertilized eggs, a system that captures egg image online and extracts image feature parameters is designed. It takes an TMS320DM642 processing chip as the core and sets up a fuzzy neural network which is based on 5-D input and 1-D output to identify the egg fertilization. The test result indicated that this model has a high speed and accuracy, easy to realize with 97.22% accuracy as matching the requirement of actual test.

Abstract: Along with the automation development trend of the agriculture, effective method of temperature and humidity information monitoring system is more and more important. Large scale pattern is the obvious characteristic of modern agriculture. Traditional cable monitoring method is not enough in some points such as maintenance difficulties, complex wiring and power consumption high. Now more and more people resort to wireless methods, we designed a new monitoring system based on ZigBee with CC2530 as the core chip, which consists of three parts: upper computer and a coordinator node and three terminal sensor nodes. This paper described the design of hardware and software process in detail. The method in this paper has proved by the experiment, it has good expansibility, low power consumption and stable performance.

Abstract: This paper presents an efficient direction-of-arrival (DOA) Estimator for dealing with coherent signals. The empirical results show that significant performance degradation occurs when coherent signals coexist. Therefore, an utilizes the low sensitivity of Bartlett algorithm in estimation of DOAs for coherent signals to yield a low-resolution estimation of DOAs as initial search angle and uses fuzzy logic systems with incorporating expert knowledge to improve the resolution and performance of estimation of DOAs in coherent signals environment. Finally, numerical example was analyzed to illustrate high performance of the proposed method and to confirm the designed procedure.