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The test system of stress wave signal about stealing oil was briefly introduced. And basic principle of lifting scheme was presented. According to test data, the characteristics of stealing oil were analyzed in time and frequency domains. Stealing oil signal usually contains high-frequency noise and low-frequency interference. According to the characteristics, the de-noising algorithm based on lifting...
Decision support system for risk assessment of water inrush in coalmine(WIDSS) is an emerging tool used to integrate the evaluation of highly complex aspects of water inrush problems in coalmine and Decision. A WIDSS approach is based on new approach. The latter uses Bayesian Network & GIS theory for modeling criteria, modeling recognition, modeling reasoning from water inrush occurrence and it...
In this paper, we apply data mining technology to Chinese stock market in order to research the trend of price, it aims to predict the future trend of the stock market and the fluctuation of price. This paper points out the shortage that exists in current traditional statistical analysis in the stock, then makes use of BP neural network algorithm to predict the stock market by establishing a three-tier...
This paper presents a method of designing a modified repetitive control system (MRCS) based on a two-dimensional (2D) continuous-discrete hybrid model. First, a 2D continuous-discrete hybrid model of MRCS is established. Next, the design of the feedback controller of the MRCS is converted to the stabilization problem of the 2D hybrid system with a static-state feedback. Then, by using a 2D Lyapunov...
In this paper, we apply data mining technology to Chinese stock market in order to research the trend of price, it aims to predict the future trend of the stock market and the fluctuation of price. This paper points out the shortage that exists in current traditional statistical analysis in the stock, then makes use of BP neural network algorithm to predict the stock market by establishing a three-tier...
In this paper we establish a general swarm model with time delays under disturbances for the quadratic attractant/repellant profiles. It is proved that the swarm members will converge and form a cohesive cluster around the center in a finite time under certain conditions in the presence of communication delays and disturbances. For quadratic attractant/repellant profiles, all the swarm members will...
The hierarchical routing and wavelength assignment problem in Automatic Switched Optical Network (ASON) is researched. Based on our analysis, three adaptive algorithms called MLLR (Multi-Layer Least Loaded Routing Algorithm), WMLCR (Wavelength-graph-based Multi-Layer Least Congestion Routing Algorithm) and BMR (Backtracking-based Multi-Layer Routing Algorithm) are proposed. A platform named AHORSP...
Ray-based methods such as ray tracing and ray launching have been increasingly used in radio wave propagation modelling. Ray tracing is used for point-to-point multipath prediction (for few receivers) while ray launching, being more adaptable, is more suitable for multi-point prediction. However, ray launching suffers from angular dispersion which causes rays to miss pixels when the distance from...
This paper considers the consensus of the leader-following systems with a discrete-time model. The velocity of the active leader is unknown in real time. This paper designs the control laws and observers based on the neighbors to solve the consensus problem. The Lyapunov approach has played an important role in the leader-following systems. It is shown that all agents asymptotically move with the...
The auto-compensation and harmonic shielding converter transformer, namely the new converter transformer, adopts the prolonged delta wiring in the secondary winding, and there is a tap between the common winding and the prolonged winding, which is connected with the inductive filters. Compared with the traditional converter transformer, the electrical connection in the new converter transformer is...
High pathogenic avian influenza remains rampant and the epidemic size has been growing in the world. The early warning system (EWS) for avian influenza becomes increasingly essential to militating against the risk of outbreak crisis. An EWS can generate timely early warnings to support decision makers in identifying underlying vulnerabilities and implementing relevant strategies. This paper addresses...
This study investigated how different dimensions of social capital influenced employee creativity and when the effects were stronger with a heterogeneous sample of teams in the PRC. Considering knowledge as the foundation of employee creativity, we integrated the mediating role of knowledge sharing and the moderating role of knowledge characteristics in the relationship between social capital and...
In order to retrieve the character images but avoid the OCR system which is limited in some application, a method for Chinese characters retrieval is presented in this paper. It firstly extracts the improved contour feature of Chinese character images, which is used to match roughly. Then, the candidate character images attained above are divided by the centroid of each one. For each part divided,...
On participatory Websites, users provide opinions about products, with both overall ratings and textual reviews. In this paper, we propose an approach to accurately estimate feature ratings of the products. This approach selects user reviews that extensively discuss specific features of the products (called specialized reviews), using information distance of reviews on the features. Experiments on...
Transport multiple protocol label switching (transport-MPLS, T-MPLS) is one of networking schemes for packet transport network (PTN). It specifies a connection-oriented, packet-switched architecture for carrier class Ethernet. In order to evaluate the performance of T-MPLS network, we have to apply this technology to the real network topology with Internet-bound traffic (e.g., VoIP, P2P, Http). In...
This paper considers an M-member "individual-based" continuous time swarm model with individuals moving with a nutrient profile (or an attractant/repellent) in an n- dimensional space. It is proved that the swarm members aggregate and eventually form a cohesive cluster of finite size for Gaussian Profiles. Moreover, all the swarm members will converge to more favorable areas of the Gaussian...
This paper investigates the collective behavior of a leader-follower system with communication time lags based on nearest neighbors information. The leaders proposed in the swarm can obtain the information from the environment, but the followers can not. Under the common assumptions, we prove that the individuals of the swarm with the local information will aggregate and form a cohesive cluster of...
Considering that travel routing costs change with time against the background of reverse logistics, this paper presents the time dependent vehicle routing problem of simultaneous delivery and pick-up (TD-VRPSDP), and establishes the mixed integer programming model of TD-VRPSDP. The pheromone updating strategy based on rank-based ant colony system and max-min ant system algorithm are used for solving...
To improve prediction accuracy of die yield, a novel fuzzy neural networks (FNN) based yield prediction approach is proposed. The yield prediction model is built, in which the impact factors of yield, including physical parameters, electrical test parameters and wafer defect parameters are considered simultaneously and are taken as independent variables. A back-propagation algorithm is used to train...
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