Abstract: Workflow technique has been successfully used in many enterprises, and workflow modeling is one of the most important links, a successful application of workflow model can lay a solid foundation for realizing automation and monitoring of enterprise’s business process. This paper firstly points out the necessity of rationality validation in workflow model, then analyzes all kinds of existing validation algorithm of workflow model rationality, and emphatically describes a validation algorithm based on Petri net. At last this algorithm is improved, and the correctness of the algorithm is verified by an instance.
Abstract: The paper aims to solve the problem of insufficient high risk data in risk assessment of R&D projects. A one-class classification method called support vector data description (SVDD) is studied, and an intelligent risk assessment model based on SVDD with fuzzy regression information is also proposed. The model comes into being a new approach. Applying this approach, firstly verify the conversional risk evaluation indexes by fuzzy regression technique to develop a sensitive index system. Secondly the study uses the historical risk data referring to these indexes to train the SVDD one-class classifier. Unlike previously proposed intelligent methods of risk assessment, with this model the risk level can be distinguished only by training of low risk data. The results of its application on an example show that the method is feasible for risk assessment with the fuzzy high risk data.
Abstract: High level architecture (HLA) establishes a common simulation technology framework, which supports the linkage between different simulation models, and represents the latest development direction of the distributed simulated. Considering the unity and telescopic expandability of the network linkage interface, the simulation linkage engine development tool was designed and realized. Firstly, the basic characteristic of simulation linkage platform were analyzed, and then the solution of simulation linkage engine was provided during the design and development, finally, the viewable and general development tool supporting the distributed simulation linkage was designed, which provided a high-effective, flexible and shortcut integration platform.
Abstract: HMI (Human-machine Interface) is the media of communication between human and the computer system; designers should not only consider the completeness of its functions in the design of software products, but also human factors. It is necessary for the software products to meet the functional requirements of users, besides; a friendly interface is also needed to improve customers’ satisfaction while improving users’ productivity. This paper discusses the principles and specific method of designing a user-centered human-machine interface and then applies the method in the design of the mounter’s interface so as to test the method put forward in the paper.
Abstract: A method to efficiently identify object from its background noise for a sonar picture using fuzzy artificial neural network is introduced. The sonar images are from a high precision array sonar imaging device. The ability to set focus to a certain range of interest will produce a well lamented grayscale picture around the focus distance. The intelligent window over the digital picture based on neural network feedback is used to partition the picture into different levels of grid and the grid data is treated as the input for the network. Multiple levels of gridding are applied corresponding to the layers of neural network. Samples are provided for training to get the focus related threshold values. The method is faster and can be used for the pre-identification of object from sonar image so additional processing can be called for shape recognition. Matlab programming is used for data processing.
Abstract: This paper put forward a mine location algorithm based on multiple linear regression, which using only simple RSSI value to get a higher location accuracy under long narrow and sensitive mine environment. General RSSI measurement method and its drawbacks are discussed in the paper. In order to acquire smaller location error, we filtered some abnormal RSSI data through Gaussian filter method. And we deduced regression equation according to multiple linear regression principle. Combined with training sample, we got their regression parameter. We did relevant location experiment again in the same environment---40m long and narrow bomb shelter which may imitate mine tunnel to a great extent, which shows that the total errors are limited in 3m and 75% errors are less than 2m. What’s more, it can be extended to infinite measuring range with the same set regression coefficient in similar environment.
Abstract: A technical plan for realizing user toolkit for innovation (UTI) is proposed to release the vast creative energy of users, and help to make users qualified for the subject of innovation work. The model discussed in this paper is mainly aiming at two key problems in user innovation: 1) the essentials and technical access for the innovaiton style in the non-professional background of the ordinary users; 2) mechanism for driving innovaiton and optimization through user’s evaluation message. Interactive genetic algorithms (IGA) is applied to plan the functions of UTI, and is improved in several aspects for the demands of user innovation: 1) designed a selection based interactive evaluation method; 2) introduced market data as a kind of evaluation information; 3)built an integral user innovation decision making system; 4) visualized the optimizaion process, which enriched user’s perceptive interaction with UTI during working. The model also made regulations to IGA’s inner process, which strengthened IGA’s analyzing and mining ability to user’s evaluation information through latent local optimal chart making, solution space down-sizing and continuity building for discrete space.
Abstract: Aiming at the low de-noising effect of texture detail in the image, a NSCT de-noising method based on image partition and noise variance estimation was proposed. Since NSCT has the features of translation invariance and multi-directional selectivity, and noise has different impacts on different textures of image, the image can be divided into several blocks with the same size, then the noise variance and threshold of each block will be calculated, furthermore, NSCT is used to denoise each block, and finally, the blocks are merged. The experiments proved that by comparison with traditional NSCT de-noising algorithm, the proposed algorithm effectively preserved the texture detail information of original image.
Abstract: In this paper, Gaussian Mixture model (GMM) as specific method is applied to noise classification. On this basis, a modified Gaussian Mixture Model with an embedded Auto-Associate Neural Network (AANN) is proposed. It integrates the merits of GMM and AANN. We train GMM and AANN as a whole and they are trained by means of Maximum Likelihood (ML). In the process of training, the parameter of GMM and AANN are updated alternately. AANN reshapes the distribution of the data and improves the similarity of the feature data in the same distribution type of noise. Experiments show that the GMM with embedded AANN improves accuracy rate of noise classification against baseline GMM.
Abstract: Based on munsell color HV/C value to test dynamic surface wetness of fabrics can be seen more intuitive to the dynamic permeability characteristics of fabrics. This paper selects 44 kinds of knitted fabrics to do the experiment with the of sweat simulation device, and get the complete label HV/C of Munsell color space of fabrics and moisture content of fabric from 0 to 30 minutes, and analyze their relational with the method of the grey relational analysis. The results show that in the 44 kinds of testing varieties, they are 20 kinds of samples having the maximum correlation coefficient between Munsell color index and moisture content ,and 21 kinds of samples having maximum correlation coefficient between Munsell color value and moisture content , we can see that their proportion is close , so by existing methods only using Munsell color index evaluating dynamic moisture transfer properties of fabrics had omitted the information of Munsell color value and Munsell color chroma, therefore it is necessary comprehensive considering the Munsell color HV/C value of the complete label information ,and establish a composite indicator of evaluation dynamic surface moisture transfer.