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The hidden danger is the basic reason which let accidents occur. In coal mine's safety anticipating control management; it takes hidden danger information's recognition, transmission, analysis and control as its foundation. Taking the systems science as the basement and using chaos system principles to analyzing hidden danger information's control system, it establishes standardized anticipating control...
The Embarrassingly Parallel (EP) is one kernel benchmark of NAS Parallel Benchmarks (NPB). EP generates pairs of Gaussian Random Deviates (GRDs) of large random numbers which produced by Linear Congruential Generator (LCG). In this paper, the Hybrid EP is efficient implemented on CPU/GPU heterogeneous platform. Experimental results show that the Hybrid EP is 11.98 times faster than equivalent multicore...
This paper firstly examines the traditional vehicle styling evaluation methods and issues, and then presents a new approach which uses ANN (artificial neural network) to build an expert system for bus styling evaluation. It describes the key technical issues of quasi-three-dimensional bus styling evaluation expert system from data collection, graphical pre-processing, graphics feature extraction,...
Nowadays, many industries use the Computerized Numerical Control (CNC) for Printed Circuit Board (PCB) drilling machines in industrial operations. It takes a long time to find optimal tour for large number of nodes (up to thousands). To achieve more effective results, optimization systems approach is required to be equipped in drilling machine. Euclidean Traveling Salesman Problem (TSP) is one of...
Because of the complex influencing factors, it is very difficulty to resolve the problem of large scale pillar extraction and goaf disposal in underground mine. Fortunately, with the rapid development of computational mechanics, numerical methods and computer technology, the feasibility of numerical simulation has become an important feature of the current rock mass mechanics. Accordingly, using the...
Support vector machine has a wide range of applications in the communications signal modulation recognition, its parameters directly affect the recognition results, but lack of proper selection methods. In this paper, the simulated annealing algorithm has been utilized for optimization of the parameters C and g of support vector machine classifier. Compared with genetic algorithm, which is a traditional...
This paper proposes an approach to find solution to the Bounded Knapsack Problem (BKP). BKP is a generalization of 0/1 knapsack problem in which multiple instances of distinct items but a single knapsack is considered. This problem occurs in many ways in real-life, such as cryptography, finance, etc. A genetic algorithm using greedy approach is proposed to solve this problem. The experiments prove...
This paper investigates the maximal achievable multi-rate throughput problem of a multicast session at the presence of network coding. Deviating from previous works which focus on single-rate network coding, our work takes the heterogeneity of sinks into account and provides multiple data layers to address the problem. Firstly formulated is the maximal achievable throughput problem with the assumption...
The Tactical Internet (TI) is a new and highly maneuverable network, so traditional network management (NM) methods can't solve its NM well, new methods needs to be explored. In this paper, the modeling of TI NM was researched at first, the action model, function model and organizing model were established and they settled the framework of TI NM. Secondly, the frequency planning of TI NM was researched,...
Query optimization is an important part of database management system. In this paper, through the research on query optimization technology, based on a number of optimization algorithms commonly used in distributed query, a new algorithm is designed, and experiments show that this algorithm can significantly reduce the amount of intermediate result data, effectively reduce the network communication...
When a stream application that demands real-time processing over continuous data streams is running on a network-on-chip (NoC)-based multiprocessor system-on-chip (MPSoC), two types of deadlocks may occur: (i) the routing-dependent deadlocks, and (ii) the message-dependent deadlocks. In this paper, we focus on the request-request type message-dependent deadlocks, the most devastating deadlocks in...
A microstrip patch antenna is a low profile, small size antenna which can be easily fabricated. In order to achieve multibands, sierpinski carpet geometry is employed on microstrip patch antennas. A microstrip sierpinski carpet antenna can be used in WLAN, Bluetooth, CDMA and WiMAX. In this paper we will examine the effects of position of transmission line, and find an optimum feed point for a microstrip...
The improved Non-Dominated Sorting Genetic Algorithms (NSGA-II) based on the concept of Pareto optimization is applied in the orbital maneuver design of multi-objective optimization. Considering the situation that both the orbital transfer point of the chaser spacecraft and the intersection of the chaser spacecraft with the target spacecraft are undetermined, the problem of Lambert two-impulse orbital...
A new method integrating reduced model and mixed design variables is proposed and applied in the lightweight design of a bus skeleton for the purpose of mass reduction without loss in structural performance. A whole skeleton model and a reduced model are built. All parts except chassis and floor assembly are reduced out using static reduction method. Reduced model is verified with finite element analysis...
This paper introduces the evolvement rule of Cellular Automata (CA) into robot soccer competition and combines CA with Ant Colony Algorithm, then utilizes them to help soccer robot avoid obstacles. In order to avoid local convergence of the algorithm, we present a pheromone-diffusion mechanism and a target distance stimulating factor to increase the guidance quality of the ant colony in optimization,...
In order to obtain the optimal scheme of task allocation problem for multiple mobile robots. Considering task allocation problem is a multi-objective optimization problem in essence, a general multi-objective task allocation model is established. A new method named multi-objective optimization genetic algorithm based on decision preference information (DPIMOGA) is proposed to solve the optimal allocation...
With the increment of traffic flow, the delay of flights in the TMA area is increased. It is essential that the potential usage of TMA airspace should be excavated. In this paper, SIMMOD PLUS is used for the evaluation of airspace structure of Chongqing TMA, taking Chongqing airport influence and its flow control strategy into consideration. Furthermore, the bottleneck which limits the operation of...
The Genetic Algorithms (GA) is a kind of modern intellective global optimization algorithm, but there are many shortcomings in some idiographic questions, and its local searching ability is worse. In this paper, aiming at the wing-body joint location of quasi-waverider hypersonic vehicle, improving on the Simple Genetic Algorithms (SGA), inducting the Constrained Flexible Polyhedron Method (CFPM),...
The present paper deals with the problems of fuzzy controllers design. The controllers are components of control systems for various controlled objects. The analysis of design methods influencing efficiency of solving various compromise problems related to minimization of hardware complicity of fuzzy digital controllers and ensuring the desired quality coefficients of the control systems is given...
To overcome the inherent defects in wind-solar hybrid system: power generation and electricity load's imbalance because of uncertainty of resources. this article aiming at XJ Group's project design of wind-solar hybrid power supply system, by way of pumped-storage to replace the battery of wind-solar hybrid power supply system, this method can effectively overcome above problems. Wind-solar and pumped-storage...
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