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In order to reduce energy consumption of Wireless Sensor Network nodes, a novel compression algorithm based on the principle of Adaptive Huffman Code is proposed in the paper for the collected temperature data in real environment by the sensor nodes are continuous and slow changing. The algorithm is simple, easy to implement, and suitable for application in wireless sensor networks. To some extent,...
The weak bilevel programming problem is characterized by the decision-making process that the follower has nonunique solutions and reacts to the leader by providing the worst one. We are concerned with a class of weak nonlinear bilevel programming problems in which the follower is linear with respect to all follower's variables. At first, the original problem is transformed into a nonlinear program...
In this paper, we consider the the WSNs layering learning routing algorithm of random spread of the nodes. A node routing algorithm is given out by node hierarchical and learning method. When count path of routing by using this algorithm, only a little information between this point and its adjacent points is needed. By using depth-first search strategy and combining node route historical experience,...
In concern with the slow-convergence disadvantage of GA, PSO is combined with GA in this paper for a load distribution optimization among turbine-generators. By comparison with GA method, it is shown that PSO-GA is better than the GA method in the aspect of calculation speed, bearing excellent stability and fast convergence.
The hanger is a critical part of arch bridges which decides the security of the bridge. The tension of hanger is the major parameter to evaluate the structural behavior during the health monitoring. Besides, the damper which used for reducing the vibration significantly affects the tension of hanger. The flexural rigidity and damping stiffness should be considered in order to get accurate tension...
Approached a method to identify power quality disturbance (PQD) type based on support vector machine(SVM) and improved wavelet energy distribution. Firstly, using wavelet transform to analyze PQD signals, extracting disturbance lasting time and energy differences of each level between PQD signal and standard signal as feature vectors, forming the training samples and testing samples. Secondly, pre-process...
The multi-candidates electronic election is very useful in numerous practical situations. Most of the electronic election schemes discuss Boolean election in which voters can only cast "yes/no" vote. A new multi-candidates electronic election scheme is presented which is appropriate for "k-out-of-n" election. The scheme is characterized with perfect security, anonymity, fairness,...
SPam over Internet Telephony (SPIT) had been become a very serious issue in recent years. The threat is going to spin out from the well known email spam problem by bot nets being reprogrammed to initiate not just spam emails but also Voice over IP (VoIP) calls. Preventing SPIT is a new problem, because many well-established methods for blocking email spam cannot be applied. Though the need for SPIT...
In this paper, we propose a nonparametric grammar based framework for analyzing trajectories, aiming to discover the motion pattern of objects and assist human understanding. The framework works in three steps. 1) Raw trajectories are smoothed to eliminate noise, and then, points and segments are sampled as primitive units. 2) The primitive units are clustered based on DPM and HDP-HMM, in order to...
E-mail is a major revolution taking place over traditional communication systems due to its convenient, economical, fast, and easy to use nature. A major bottleneck in electronic communications is the enormous dissemination of unwanted, harmful emails known as spam emails. In this paper, a novel spam filtering framework (NSFF) is proposed, which is based on particle swarm optimization, fuzzy logic...
In this paper, a dual-resource constrained job shop scheduling problem was studied. According to the information processing mechanism of an immune system in biotic science, a new immune Genetic Algorithm for flexible job shop scheduling through combining immune algorithm with genetic algorithm was proposed. The algorithm can effectively avoid the premature convergence problem caused by the high selective...
Conventional genetic algorithm is prone to many problems, such as premature convergence, poor performance of partial search, inefficient in the final stage, difficulty in keeping balance between population diversity and selective pressure. In order to resolve these problems, the amount of information from parents was measured with correlation coefficient. Then an alternation strategy based on hereditary...
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