Applied Mechanics and Materials Vols. 198-199

Abstract: Because highway transportation is a main form of logistics, the vehicle Optimization scheduling is the core content of highway transportation decision, and important to improve the logistic delivery ability. Based on highway transportation task in logistics industry, this paper uses the theory about operational research to establish the mathematical model, and analyses combining with the genetic algorithm.

Abstract: The nonlinear Boolean function (NBF) is an indispensable tool in design and analysis of cryptosystem. Algorithm of the same judgment on two NBF logical expressions has wide needs in Boolean function application. However, the algorithm is more complicated. In this article, an algorithm of the same judgment on two NBF logical expressions based on ROBDD is put forward. Combined with advantages of the array and hash table, ROBDD expression node data structure Unique Table of NBF is designed. Its time complexity of same judgment is O(6(max(id)-2)).

Abstract: As an optimization which is of very strong robustness and independent of the concrete areas of the problems, the genetic algorithm are discussed and applied in analyzing the signals of the overlapped peaks more and more. However, whether the Gauss-type or the Lorentz-type spectrum lines, the functions of which are usually very complicated. Thus, it is very difficult to obtain a favorable solution using the genetic algorithm, and there are too many generations of calculation. Therefore, in this letter, the steepest descent algorithm is added to the genetic algorithm. And the fast converged favorable solutions are obtained through simulating the analyzing the Gauss-type overlapped peaks.

Abstract: A novel Global Positioning Algorithm for Workers in Underground Coal Mine Based on RSSI (Received Signal Strength Indication) is proposed and implemented. The innovation of the algorithm is the RSSI optimization and GIS auxiliary positioning. The RSSI optimization can reduces the error caused when the blind code is too closed to the reference node, and GIS auxiliary positioning is to solve the problem that the number of the reference codes in the communication radius of blind code is less than three. Experimental Results Indicate that Global positioning algorithm has the average vertical positioning error less than 4m, the horizontal error less than 1/2 roadway width, and the positioning cycle less than 1s, with better positioning and tracking performance, and expands the coverage of the network of underground positioning.

Abstract: As an important pre-coding method in MIMO- OFDMA system, zero-forcing beamforming (ZFBF) can eliminate co-channel interference (CCI) between users, and generate a series of parallel spatial subchannel without interference. In this paper, we propose a novel ZFBF-based user scheduling algorithm for multi-user downlink MIMO-OFDMA systems. The algorithm can satisfy the rate requirement of each user, choose the right user set in each subcarrier and minimize the total transmit power. Simulation results show that the proposed algorithm does outperform the non-adaptive algorithm and SUS-algorithm.

Abstract: In this paper, we lay primary emphasis on the scheduling problem of airport ground service in airline industry, aiming at searching for scientific scheduling method of airport resources and providing a basic operational design scheme to optimize and solve the schedule problem of airport ground service operation intelligently. According to ECS rules, operation structure is optimized and the defect of ECS rules was remedied in this paper.

Abstract: Prediction of drug sales trend is very important for the drug production planning and inventory. The paper studies the BP neural network and presents a kind of method based on reformative neural network to solve the issue of prediction of drug sales. Compare with traditional BP algorithm, the result reveals that this algorithm has structure rationalization and rapid constringency velocity. The experimental results demonstrate that the prediction model based on Levenberg_Marquardt algorithm is good at predicting drug sales.

Abstract: the SQL injection is one of the common security vulnerabilities of the Web application. This paper studies how to find out the possible SQL injection vulnerabilities. The scheme this paper put forward is the technology of black-box test. The main steps are that firstly construct specific user input in the test period of the Web application system, and inject it into the application system, then get the vulnerability detection report according to the analysis of the test logs.

Abstract: In this paper, under the conditions of low SNR speech endpoint detection, a feature based on the maximum value of Toeplitz Noise endpoint detection methods. Terms of the method of spectrum from the corresponding sequences with a symmetric Toeplitz matrix constructed using the maximum eigenvalue of the matrix information on the voice signal for dual endpoint detection threshold. New algorithm has been tested to effectively distinguish between speech and noise, low-noise in different environmental conditions has good robustness. With the recent recursive signal analysis methods, the accuracy is higher. The algorithm to calculate the cost of a small, real good, simple and easy to implement.

Abstract: PageRank algorithm is a vital method to determine the importance of pages. Useful as it is, the algorithm has many disadvantages. Therefore, we arrive at the conclusion that it’s not rational to calculate the importance degree of pages simply by links between them. Considering the timeliness problem of PageRank algorithm, we provide the time penalty factor W(n) to weigh the effects of update time on page ranking. After adding the time penalty factor to the original PageRank algorithm, we come up with the refined PageRank algorithm. Our algorithm is superior compared with the original one and many other existing methods that weigh the effects of update time. We judge update time by the times a page is crawled by Web crawlers. Consequently, drawbacks of the methods that use the real time to measure update time can be overcome and the order of pages can meet users’ need better.