Advanced Materials Research Vols. 860-863

Abstract: A multi-objective optimization method for system reliability allocation was proposed. Firstly, a constrained multi-objective optimization model for system reliability allocation was established with the objective to maximize the system reliability, minimize the cost, volume and mass. Secondly, aiming at the characteristic of the model, a non dominated sorting genetic algorithm with elitist strategy (NSGA II) was presented and designed. In the algorithm, an object-oriented technique was introduced to map each individual to each corresponding object and a population to an array of objects, each individual was encoded by each corresponding vector made up of the selection indices of every function unit, the tournament selection strategy was used to implement the selection operation based on the ranks and congestion degrees of the individuals, a swap way of two-point gene segment was used to implement the crossover operation, a one point mutation way was used to implement the mutation operation and the Pareto operation was implemented based on the ranks and congestion degrees of the individuals. Finally, the effectiveness of the proposed research was validated by case study.

Abstract: Recent years, as computer science and the development of high-tech communications networks, distributed artificial intelligence field of artificial intelligence research as an important branch, more and more industry attention. One of the Agent and Multi-Agent technology research became a hot topic of distributed artificial intelligence research. Research on Multi-Agent technology is mainly a group of autonomous distributed open Agent in a dynamic environment, through interaction, cooperation, competition, negotiation and other acts perform complex control or task solving. Because of its better reflect human social intelligence, more suitable for an open, dynamic social environment, thus causing researchers in various fields of interest, and is widely used in scientific computing, computer network e-commerce, business management and traffic control, etc

Abstract: Edge detection and thresholding segmentation algorithms are presented and tested with variety of grayscale images in different fields. In order to analyze and evaluate the quality of image segmentation, Root Mean Square Error is used. The smaller error value is, the better image segmentation effect is. The experimental results show that a segmentation method is not suitable for all images segmentation.

Abstract: With the rapid increase of vehicles, the problem of parking has become very serious. So to guidance drivers to park is significant. A parking guidance system was proposed. Firstly, parking place is divided into different regions. Then the state of the parking space in a parking region is detected by ultrasound sensor, and the state of the parking region in a parking is detected by RFID reader. Through the internet of things, the state information is transmitted to the control center in real time that mainly is an industrial computer and is responsible for dealing with the state information and sending guidance commands to displaying signs, which are at crossroad and guidance passing cars. The experiment results show that the parking guidance system works well, and has the value of application and promotion to some extent.

Abstract: Aiming at the large calculation workload of adaptive algorithm in adaptive filter based on wavelet transform, affecting the filtering speed, a wavelet-based neural network adaptive filter is constructed in this paper. Since the neural network has the ability of distributed storage and fast self-evolution, use Hopfield neural network to implement adaptive filter LMS algorithm in this filter so as to improve the speed of operation. The simulation results prove that, the new filter can achieve rapid real-time denoising.

Abstract: In 2007 it started an important Project that made a chemistry company drastically review the way it used to measure results and to conduct its business units and processes. The project scope was to migrate not only the actual Business Intelligence architecture to a more efficient and effective Business Intelligence architecture but to also to review the way company was driving its figures. This article's objective is to demonstrate how one project that changed the Business Intelligence Architecture was important to make the chemistry company more efficient and the legacy of good practices that the project brought to the company, enabling it to gain on costs reduction and process standardization and establishing many competitive advantages.

Abstract: Using logical criterion based on the characteristics of binary image, the normalized cross-correlation algorithm is improved. First, the binary of gray image is carried out. The target and the background are made a distinction between 0 and 1. Second, through the logic correlation matching, two images of the same location value equal to 1, otherwise 0. Finally, the correlation coefficient is calculated. The experimental results show that the improved normalized cross-correlation algorithm can speed up the matching, without affecting the accuracy of the matching.

Abstract: Real time data acquisition system has been paid wild attention to due to exponentially expanding industrial control and measurement. Of many industrial bus, PCI (peripheral component interconnect) bus is a very useful communication protocol available for off-the-shelf PC and high speed acquisition. In the document, an implementation solution of data real-time acquisition based on PCI bus is described. The data acquisition system mainly consists of signal regulation circuit, AD conversion, LVDS transmission, PCI controller. XC3S700 of XILINX FPGA was used as the core chip to bridge and control all parts, which has rich internal resource. Driving program of PCI bus was designed by VC in industrial computer. Test results show that the system can collect multi-channel signal concurrently, steadily and in real time, and has some application value.

Abstract: Using finite difference inequalities, we study the boundedness of random solutions of the stochastic perturbation discrete system of the linear stochastic discrete system. The stochastic perturbation discrete system includes an operator. We obtain the conditions under which the random solutions of the stochastic perturbation discrete system are bounded.

Abstract: In order to maximize the total profit and improve the service level, based on the perspective of queuing theory, a new approach for dynamic joint decision on price and delivery date in Make-to-order (MTO) manufacturing firms using Q-learning algorithm was proposed. Compared with static price and delivery date policy, the simulation results show that the proposed algorithm performs better in total profit and service level. The total profit does not increase with the growing number of accepted orders and the number of accepted orders must match the production capacity.