Advanced Materials Research Vols. 926-930

Abstract: Because the basic evolutionary algorithm convergence speed is slow, prone to stagnation, the algorithm running time is too long, so according to chaos theory about the relationship between evolution and chaos, this paper design an improved evolutionary algorithm with chaotic mutation operator, the optimization of the contraction policy can improve the global search ability of effective, significantly improved the performance of the proposed algorithm.

Abstract: In this paper, we propose a method to extract seal imprints from bank document images based on color information. Firstly we use K-means clustering algorithm and local thresholding techniques to distinguish seal imprints from background areas. Secondly we wipe off printed characters and other noise upon the nearest neighbor classifier. Finally through a series of post-processing steps some missing pixels are added to the seal imprints. The result of our experiments proves that this method is capable of extracting Chinese seal imprints in most cases.

Abstract: In this paper, we propose a novel two-step seam-searching method based on Dijkstra algorithm in order to improve the seam-searching performance of image mosaic. Parameters of this algorithm are analyzed to improve the overall performance. Experiments show that the proposed method can obtain better seam-searching result than the algorithm based on greedy method and can reduce the computational burden.

Abstract: In this paper a two-agent flow shop scheduling problem is studied and a simple parallel iterated local search algorithm is proposed to minimize the makespan of jobs from the first agent and the total tardiness of jobs from the second agent simultaneously. Parallelization is implemented by applying multiple independent searches, each of which uses three neighborhood structures with dynamical transition mechanism. The current solution of each independent search is replaced with a solution, which is randomly chosen from the non-dominated set and perturbed. The computational experiments show the promising advantage of the proposed method when compared to other algorithms of the problem.

Abstract: Barrier coverage of heterogeneous sensors with randomly deployed is a critical issue in military and homeland security applications. In this paper we study how to exploit sensor mobility to improve barrier coverage. We presented an efficient algorithm to relocate mobile sensors accord to line so as to improve barrier coverage. The algorithm firstly scans whole barrier and finds out barrier gaps. Then it relocates mobile sensor nodes to fill the gaps with energy consumption limited. Simulation results show that the algorithms can effectively improve the barrier coverage.

Abstract: Method of undetermined coefficients as a method of solving mathematical problems in Higher Mathematics a wide range of applications, this method of undetermined coefficients in Mathematical Analysis, Numerical Methods, differential equations, some applications of the analytic geometry of four courses made a brief, and gives examples.

Abstract: Transthoracic impedance (TTI) has been demonstrated to be a potential indicator to monitor the quality of chest compressions (CCs) during cardiopulmonary resuscitation (CPR). However, TTI signals are challenged by noise artifact from multiple sources, such as ventilations and baseline drift. Practically, it is very essential to accurately detect the peak-to-trough of the complicated TTI signals. However, nowadays, there is no method to solve the problem. In this paper, Extrima search with niche technology was used to search the peak-to-trough of TTI signal. We select 2 features to judge the potential peaks and troughs in order to remove the false ones. Besides, we designed a LDA classifier for recognizing the compression and ventilation waves. The experimental results show that this method in this paper can precisely recognize the real peaks and troughs of TTI signals which include some false ones.

Abstract: With the development of infrared missile guidance system fleetly, the simulation plays more and more important role in the integrated testing of infrared missile guidance system, because it is a key technology to shorten manufacture period and to advance efficiency-cost ratio. This paper designs hardware-in-the-loop simulation platform of infrared guidance system, including: the simulation modeling of kinematics equation of characteristics, the generation technology of target background and antagonistic, the key technology design of hardware and software are researched thoroughly about signal resting, their constructions are discussed in detail.

Abstract: With the development of embedded technology and the Internet, the embedded Web server, GoAhead is embedded in the monitored Wells hardware equipment to realize automatic control functions, namely far away from the well control center can remotely access GoAhead just with the standard browser, you can see the well gets information, control instrument and parameters of the well. The system is beneficial to reservoir management department timely diagnose pathological production conditions, to analysis the reservoir changes and plan scientifically the oil field development strategy.

Abstract: Grey system theory has obvious advantage on handling “poor information and small sample data” problems. Some TV seeker’s faults performance of such characteristics that the date is less and not integrity, and failure phenomenon is not explicit. So it comes to be difficult to diagnose the faults at the Basic level by a quick way. This paper means to build a model using the general gray relational analysis in order to establish contact between the fault parameter names and failure phenomenon. Then by using gray relational analysis on the fault records in the database and checking the model with another data. Calculation result shows that the method can judge fault position simply and quickly. The paper provides a kind of relatively reliable quantitative analysis basis for the fault diagnosis and locating faults.