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As the demand for structure healthy monitoring of civil engineering continues to grow at an unprecedented pace, the need for real time remote data compression and transmission systems becomes more prominent. In this paper, aiming at the problem of massive data transmission in the safety monitoring systems of the civil engineering applications, the GPRS wireless transmission terminal is designed to...
Radio Frequency Identification (RFID) technology is a contactless automatic identification technology. With the wide application of this technology in many fields, anti-collision algorithm to solve the problem of multi-tag identification becomes more and more important. The current RFID anti-collision algorithm is mainly divided into two categories: ALOHA based algorithm and tree based algorithm....
A novel differential evolution algorithm is proposed for constrained optimization problems (COPs). The proposed algorithm combines the ideas between the self-adaptive differential evolution algorithm (JDE) and simple penalty function method (SPFM). Simulation results on the bump problem show that the solutions of the new algorithm is better than those of the algorithms in the almost exiting literature...
As more and more cloud services are provided on the web, composite services will increase exponentially. How to select the optimal services for a given composite service is a important problem and is NP-Hard. This paper proposes a multi-objective service selection algorithm based on MOACS(Multi-Objective Ant Colony System) optimization algorithm for this problem. In this problem, two objectives are...
Communities detection algorithm based on GA is attracting common interest. To solve the shortcomings of traditional single objective Genetic Algorithms based “modularity”, which tend to find a community of similar size, according the character of the problem, the corresponding optimization model is built and a multi-objective density driven genetic algorithm called MOHGA is present. So as to avoid...
Aiming at the problem of service performance modelling, this paper uses ANN to establish the mapping relationships between virtual machine resource status and cloud service performance, and proposes an I-ABC-ELM method to train ANN. For the stability problems of the ELM training, this paper proposes the use of I-ABC algorithm to optimize the input layer weight matrix and hidden layer bias in ELM....
Most of the current researches in virtual network embedding field often assume that the VN requests are static. However, in practical cases, virtual network requests on substrate resources change dynamically over time. To support such dynamical feature, we model the VNE problem as a mixed linear programming problem and use multiple queues to store different types of virtual network requests respectively...
Based on Artificial Immune System, a novel Immune System Multiobjective Optimization Algorithm (ISMOA) for Analysis of Communication Network Planning is proposed. The problem can be transformed into multiobjective 0/1 knapsack problem by modeling. By fixing the avidity properly, presenting vaccine operation and clonal selection operation, ISMOA guides the selection process towards the Pareto-optimal...
The probabilistic minimum spanning tree (PMST) problem is NP-complete and is hard to solve. However, it has important theoretical significance and wide application prospect. A parallel genetic algorithm based on coarse-grained model is proposed to solve PMST problem in this paper. Firstly, we discuss several problems of determinant factorization encoding, and develop repairing method for illegal individuals...
This paper presents a technique for adaptive ocean sampling using ocean sampling platforms equipped with multiple sensors. The virtual environment of 2D ocean sampling is established, so as to simulate the ocean sampling region by means of the sampling platforms. There are three important phases which can be written as collecting scientific data, drawing the sampling area, and utilizing the maximum...
Restart strategies are widely used in today's conflict-driven clause learning SAT solvers, such as fixed-interval policy, geometric policy, Luby's policy, nested restart scheme, adaptive restart strategy, counter implication restart and so on. It has been demonstrated that appropriate use of restarts can improve the speed of SAT solvers tremendously. Growing numbers of studies have been beginning...
The QoS based route optimization is a key issue of the wireless network, which is a NPC-hard multi-objective discrete optimization problem. In this paper, an efficient multi-objective artificial bee colony optimization algorithm based on Pareto dominance called MOABC is proposed to tackle this problem. The algorithm was evaluated on a set of different scale test problems and compared with GA based...
Multipath routing is an important and promising technique to increase the Internet's reliability and to give users greater control over the service they receive. Currently the interdomain routing protocol limits each router to using a single route for a destination network, which does not satisfy the diverse requirements of end users. In this paper, in order to support the effective and efficient...
Multi-path routing is a promising technique to increase the Internet's reliability and to give users greater control over the service they receive. Currently the interdomain routing protocol limits each router to using a single route for same destination, which may not satisfy the diverse requirements of end users. In this paper, in order to support the effective and efficient multi-path service(MPS),...
Web services run in a highly dynamic environment (the Internet) which makes the composite service will face multiple exceptions in its execution. Thus, it needs to take effective actions to deal with the errors causing the exceptions. Then, by such actions, composite service can adapt to the dynamics and complexity of its execution environment. Since accurately identifying the error source which causes...
The process of human's blink expressing deep information of mind has uncertainties of fuzziness and randomness. A cloud theory-based method is proposed to realize uncertainty control of virtual human's blink. Eyes' maximal open angle cloud and blink interval cloud are designed. A cloud-based blink control algorithm is proposed. Results of comparing it with certainty method show that the proposed algorithm...
Multi-tenant SaaS software as one of the application pattern in Cloud Computing delivers software thourgh Web to the users by rhe service manner. So, it can reduce the cost of users, and reduce the cost of the maintainess and management by providers. The first problem that must be considered is how to provide the most appropriate tenant to the user according to the business request from the user in...
The paper proposes a dancing robot based on the beat tracking method. The robot can carry out different actions when receiving different musical signal input. The dancing poses are vivid and lifesome, and development of the robot is helpful to enhance intelligence of the traditional creational robot, which exerts a striking influences on the conventional toy market. In the paper, the design of the...
In order to reduce the practical decision system including continuous attributes, a reduction algorithm based on neighborhood granulation is proposed. In this algorithm, a rough set model is used based on neighborhood equivalence, the indiscernibility relation is measured by neighborhood relation, and the universe spaces is approximated by neighborhood information granules. We construct a features...
Many association rule mining algorithms have been developed to extract interesting patterns from large databases. However, a large amount of knowledge explicitly represented in domain knowledge has not been used to reduce the number of association rules. A significant number of known associations are unnecessarily extracted by association rule mining algorithms. The result is the generation of hundreds...
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