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One of the key research topics of the world's mining industry is how to ensure safe and reliable work of the powered supporot with large mining height more than 6m. During the process of design and development, the advanced CAD/CAE technique can be used to identify potential problems and increase the reliability of the powered support. In this paper, the whole 3D model of powered support with large...
Basing on the characteristics of Skill operation paper, a constraint model of generating a paper around skill points is proposed, and the strategy of combining distribution-satisfying skill points is applied to automatically generate a skill operation paper. Besides, a matrix constraint model for skill points-based paper generation is designed and the three key points needed in the strategy are mainly...
A mean-CVaR optimization model about invest portfolio which is adopt to Chinese stock market is established based on the method of CVaR within the frame work of risk measurement theory. We receive the effective border of the mean-CVaR model by computing the ratio of the minimum risk CVaR. According to the fixed rate of return under given confidence level on the basis of recent data in actual stock...
Modular multiplication of long integers is an important building block for cryptographic algorithms. Although several FPGA accelerators have been proposed for large modular multiplication, previous systems have been based on O(N2) algorithms. In this paper, we present a Montgomery multiplier that incorporates the more efficient Karatsuba algorithm which is O(N(log 3/log 2)). This system is parameterizable...
FPGA-optimised Random Number Generators (RNGs) are more resource efficient than software-optimised RNGs, as they can take advantage of bit-wise operations and FPGA-specific features. However, it is difficult to concisely describe FPGA-optimised RNGs, so they are not commonly used in real-world designs. This paper describes a new type of FPGA RNG called a LUT-SR RNG, which takes advantage of bit-wise...
The paper presents new results in the hardware implementation and optimization of recursive sequential and parallel algorithms using the known and a new model of a hierarchical finite state machine. Applicability and advantages of the proposed methods are confirmed through numerous examples of the designed hardware circuits that have been analyzed and compared. The results of experiments and FPGA-based...
An important challenge within hyper-heuristic research is to design search methodologies that work well, not only across different instances of the same problem, but also across different problem domains. This article conducts an empirical study involving three different domains in combinatorial optimisation: bin packing, permutation flow shop and personnel scheduling. Using a common software interface...
State-of-the art constrained multiobjective optimisation methods are often explored and demonstrated with the help of function optimisation problems from these accounts. It is sometimes hard for practitioners to extract good approaches for practical problems. In this paper we apply an evolutionary algorithm to a factual problem with realistic constraints and compare the effects of different operators...
In this paper we propose three techniques to improve the performance of one of the major algorithms for large scale continuous global function optimization. Multilevel Cooperative Co-evolution (MLCC) is based on a Cooperative Co-evolutionary framework and employs a technique called random grouping in order to group interacting variables in one subcomponent. It also uses another technique called adaptive...
A case study describing the influence of TFT LCD graphics on automotive radiated emissions testing and its impact to the FM band receiver. The underlying root-cause of the EMI issue is determined using a novel technique that decodes the display's graphics into the transmitted RGB data and predicts the data's impact to radiated emissions. The countermeasure implemented to resolve the issue is equally...
In peer-to-peer (P2P) grids, peers act both as providers and consumers of the services offered in the system. In these systems, fair and efficient match of service request and service provision can be attained by using simple reciprocation-based mechanisms. Under contention, a peer p gives priority to serve the requests of the peers that have the largest difference between the amount of service provided...
Cloud/Grid environments are characterized by a diverse set of technologies used for communication, execution and management. Service Providers, in this context, need to be equipped with an automated process in order to optimize service provisioning through advanced performance prediction methods. Furthermore, existing software solutions such as GNU Octave offer a wide range of possibilities for implementing...
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...
Article will introduce the sensitivity into frame optimization analysis of the heavy-duty truck. Established the frame finite element model in a certain type of heavy truck, determined the boundary conditions and loads, and verified the electrical test. Select the frame rails and the beams as a sensitivity analysis of the object. According to the results of the analysis to select the design variables,...
In order to optimize the stiffness of car body, Latin design of experiment method is taken to design sample for 300 times. Fitting approximate models of response surfaces with moving least squares methodology are inducted in torsion stiffness optimization, in which the disadvantage of lower precision with least squares methodology is avoided and the relative error percentage is less than 3%. Adaptive...
This paper describes a spatial optimization and fuzzy evaluation system embedded in a geographic information system (GIS) environment for obtaining an optimal land consolidation project site. The system was done by integrating the cellular automata model (CA), simulated annealing model (SA), and the fuzzy model into ArcGIS 9.2 as a toolbar (DLL) using ArcObjects in ArcGIS and Visual Basic. In this...
SOA (Service-Oriented Architecture) is an architecture of software design suitable for changing environment, in which the difficulty in the sharing of data and operations. In this paper a SOA-based decision support system (DSS) was built for assessing the short-term risk of storm disaster at coastal area of Shanghai. This was done by integrating a hydrodynamic model and a disaster assessment model...
In order to use the dynamic reconfiguration possibility on FPGAs efficiently, one needs a support in the form of an operating system to manage both software and reconfigurable hardware. For this support, a suitable reconfigurable hardware model and optimization methods are required. This paper considers the problem of executing a dynamically changing set of tasks on a reconfigurable system, made upon...
This paper proposes a reliability management method for new electronics development under fast time-to-market requirements. We approach the reliability growth across the product life cycle from design, manufacturing, assembly, and field operation in the context of distributed manufacturing paradigm. The management method consists of three modules including corrective actions, reliability prediction,...
A Bayesian decision-theoretic decision-making framework for integrated vehicle safety systems is introduced. The framework tries to address the increasing need for introduction of optimal decision-making to integrated vehicle safety. The framework tries to capture all the interdependencies between systems in one optimisation problem by designing appropriate risk functions. This is achieved by incorporating...
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