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The shortcomings of traditional serial algorithm on the multi-objective optimization problems are well known for its long computation time and the slow convergence rate, especially when we have complicated computation and large amount of data. To conquer these shortcomings, we propose a parallel multi-objective particle swarm optimization algorithm. Through analyzing the mechanism of multi-objective...
This paper proposes a new intelligent reverse search car technology system suitable for large parking lots, using the latest research results which are NFC (Near Field Communication) technology and WIFI technology, combined with networking, Dijkstra improved algorithm, to achieve the precise positioning and fast reverse lookup the car. On the basis of reverse search technology, the software and hardware...
In radio frequency identification (RFID) systems, tag collision arbitration is a significant issue for fast tag identification. In this paper, the author proposed an improved anti-collision algorithm, namely Dynamic Disperse and Shrink algorithm, based on the analysis of binary tree anti-collision algorithm. In the algorithm, both 0-branch tags and 1-branch tags are hashed. Thus, when 0-branch tag...
Utilizing feature selection in intrusion detection can remove redundant features and improve the speed of the intrusion detection system efficiently on the basis of protecting the integrity of the original data. This paper proposes a new feature selection method that is based on KNN and Tabu search algorithm. The experiment result shows that this method can remove the redundant features, and reduce...
This paper presents a high performance parallel formulation for 1-D FFT based on transpose algorithm. The parallel scheme of FFT trades off some efficiency for a more consistent level of parallel performance. It involves matrix transposition, and a new in-place transposing algorithm is introduced into the parallel matrix transposition to improve the efficiency. Depending on the size of the input n,...
In order to resolve collaborative filtering recommendation system recommended decline in the quality for the sparse dataset, a dynamic Item-based weight collaborative recommendation algorithm is presented, which user's preference weight items vector set is constructed based on filtering user's evaluating data and the data rate measured and time-weighted are done, then the Item-based & weighted...
This paper presents a in-place cycle-reducing method for multidimensional arrays transposition in local memory to reduce the memory R/W operations. The resulting method can significantly reduce the number of subcycles (also called following-cycles) and that of memory operations for square arrays. Taking square array 256 by 256 for example, the number of subcycles used by current available best algorithm...
With the development of 3G network and internet technology, the rapid upgrading of internet users. It is a trend that IPv6 supersedes IPv4 and the optical network becomes more widely. Integrating a number of hotspot advanced technologies, the “wireless broadband application system for IPV6 optical network cloud computing” is a novel system with practical research importance. The cloud computing platform...
An intrusion detection method based on simulated annealing and fuzzy c-means clustering is proposed against the problems of sensitivity to initialization and local optimal solution caused by fuzzy c-means clustering algorithm. The ability of simulated annealing algorithm jumping out of the local optimal solution combined with fuzzy c-means clustering is firstly used in order to get global optimal...
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