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Noises are inevitable when mining software archives for software fault prediction. Although some researchers have investigated the noise tolerance of existing feature selection methods, few studies focus on proposing new feature selection methods with a certain noise tolerance. To solve this issue, we propose a novel method FECS (FEature Clustering with Selection strategies). This method includes...
As the association rules mining algorithm, Apriori algorithm is gotten a lot of application used for its easy use. However, it often encountered some problem as low mining efficiency, too many invalid rules acquired and the rules of pattern mining disorder. In this paper, an algorithm called R_Apriori which improved from Apriori algorithm is designed for above problems. It is necessary to build syndrome...
Since automated fault localization can improve the efficiency of both the testing and debugging process, it is an important technique for the development of reliable software. This paper proposes a novel fault localization approach based on multi-level similarity of execution traces, which is suitable for object-oriented software. It selects useful test cases at class level and computes code suspiciousness...
Traditional interaction testing aims to build test suites that cover all t-way interactions of inputs. But in many test scenarios, the entire test suites cannot be fully run due to the limited budget. Therefore it is necessary to take the importance of interactions into account and prioritize these tests of the test suite. In the paper, we use the hybrid approach to build prioritized pairwise interaction...
Mine work face gas emission is the important basis for mine design, and has important practical significance for ventilation and safety production. Between mine gas emission and work face there are complex nonlinear relationships. The paper constructed a work face gas emission prediction model based on wavelet neural network. It based on statistics of a mine work face gas emission data, applied the...
In this paper, we propose a parallel interleaver design for interleave-division multiple-access (IDMA) systems. The advantages of our approach are the low complexity induced from an algebraic solution and the parallel processing with negligible performance degradations against random interleavers. It is specially suitable for parallel implementation of multiple user detections and decoding of IDMA...
Under present merger and reorganization great environment, the merger and acquisition (M&A) results of many China coal enterprises are ineffective. The predictions of coal enterprises M&A efficiency lack related theories support. The paper constructed a coal enterprises M&A efficiency assessment system, built a M&A efficiency prediction model based on wavelet neural network. It investigated...
The amount of information that can be gleamed from portable medical measuring apparatus is tremendous. Many portable medical apparatus manufacturers in the world are performing their own research and development to extract information. However, the data structure and protocol for the conveyance of the extracted information is left to the discretion of the manufacturers. This is because there is a...
The gating and riser design plays an important role in the quality and cost of a metal casting. Due to the lack of existing theoretical procedures to follow, the design process is normally carried out on a trial-and-error basis. In this paper, the casting design is first formulated as a multi-objective optimization problem with conflicting objectives and a complex search space. An optimization method...
Semantic Web query languages are designed to carry out the machine understandability of the semantic Web. However, most popular semantic Web query languages are separately designed for two incompatible semantic Web frameworks, the resource description framework (RDF) and topic maps (TM). Due to the absence of cross-framework query support, the interoperations between RDF and TM resources cannot be...
In this paper, an agent-based power management for fuel cell hybrid vehicles is introduced. The focus is to improve the fuel economy of the vehicle by appropriate power assignment to the power source and braking energy recycle. The agents play a supervisor role of each plant and optimize power output of the plant by corresponding control strategy. Multi-agents work together in a cooperation way to...
Nylon membranes are first hydrolyed with dilute HCl and then treated with chitosan before being used as the affinity carrier. Papain as a ligand has been immobilized on the activated membranes with glutaraldehyde as a crosslinking agent. The factors involving with the activity of immobilized papain, such as concentration of glutaraldehyde, pH, temperature, reaction time, and the amount of added papain...
A new approach for the design of dichromatic white light-Emitting Diodes (LEDs) has been proposed by employing InAlGaN irregular multiple Quantum Well (IMQW) structures. The electronic and optical properties of the designed InAlGaN IMQWs have been analyzed in details using a theoretical model deduced from the k·p theory.
Local L2 gain method has been pursued to analyze the robustness of a family of stabilizing controllers near the rotating stall point in axial flow compressors. An matrix inequality is involved in computation of L2 gain which is usually very difficult to solve without resorting to numerical method. In order to reduce the computational cost, an algorithm is proposed in this paper to greatly simplify...
Internet auction not only is an integral part of Electronic Commerce but also becoming a promising field for applying autonomous agents and multi-agent system technologies. Auction, as an efficient resource allocation method, has been paid more and more attention among scholars. This paper gives a protocol (VAMA) and strategy for multi-attribute auction. Some useful properties like strategy-proof...
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