Unit commitment(UC),as a typical optimization problem in electric power system,faces new challenges as energy saving and emission reduction getting more and more vital in the way to a more environmentally friendly ***...
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Unit commitment(UC),as a typical optimization problem in electric power system,faces new challenges as energy saving and emission reduction getting more and more vital in the way to a more environmentally friendly *** meet these challenges,the UC model considering energy saving and emission reduction is proposed in this *** using real-number coding method,swap-window and hill-climbing operators,an improved real-coded genetic algorithm(IRGA)solution for UC is presented,which shows an improvement in effectiveness and computational time compared with other algorithms approach to the proposed UC problem.
This paper introduces a design of stepper motor driver with FPGA chip XC3S250 E as systemcontrol core,which uses A3972 stepper motor driver chip and communicates with computer by USB *** paper analyses the design of ...
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This paper introduces a design of stepper motor driver with FPGA chip XC3S250 E as systemcontrol core,which uses A3972 stepper motor driver chip and communicates with computer by USB *** paper analyses the design of hardware circuit and programming and simulation for A3972 module and the UART module with Verilog *** stepper motor driver has characteristics of high integration and flexible communications with computer.
The field effect transistor is widely used due to its many advantages,but its working performance is directly affected by its drive *** paper gives a detailed description of the design requirements for the drive circu...
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The field effect transistor is widely used due to its many advantages,but its working performance is directly affected by its drive *** paper gives a detailed description of the design requirements for the drive circuit of the MOSFET transistor,and explains the working principle of three different MOSFET drive circuits,and also studies and compares the working characteristic of drive *** puts forward the advantages and disadvantages of various drive circuits and usage occasions which provides the basis guidance for the design of the drive circuit of the MOS transistor.
Point matching is an important component of image registration. Recent years, Coherent Point Drift (CPD) method becomes a very popular point matching approach. CPD treats point matching as a probability estimation pro...
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Point matching is an important component of image registration. Recent years, Coherent Point Drift (CPD) method becomes a very popular point matching approach. CPD treats point matching as a probability estimation problem and speeds up the process of matching a lot. In this method, one set of points are thought to be sampled from a Gaussian Mixture Model (GMM), which is centered by the other set of points. However, CPD is sensitive to outliers and noises, especially when the noise ratio increased or the number of outliers gets much high. To deal with this problem, we introduce shape context into the step of searching for matching points and then improve the form of prior probabilities of GMM in this paper. The main idea of our method is that if the most points in a data set are likely to be matched to a particular centroid, this Gaussian component should be have a more influence to GMM. Therefore, we set prior probability of GMM with the similarity between GMM components and the data set. And the computation of similarity is based on shape context. The experiments on 2D and 3D images show that when noise ratio is low, our method performs as well as CPD does, but as the ratio increased, our method is more robust and satisfactory than CPD.
Precise identification of parameters governing quantum processes is a critical task for quantum information and communication technologies. In this Letter, we consider a setting where system evolution is determined by...
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Precise identification of parameters governing quantum processes is a critical task for quantum information and communication technologies. In this Letter, we consider a setting where system evolution is determined by a parametrized Hamiltonian, and the task is to estimate these parameters from temporal records of a restricted set of system observables (time traces). Based on the notion of system realization from linear systems theory, we develop a constructive algorithm that provides estimates of the unknown parameters directly from these time traces. We illustrate the algorithm and its robustness to measurement noise by applying it to a one-dimensional spin chain model with variable couplings.
The dramatic growth of massive semantic data has brought about great challenges to the distributed storage for large data. The core technology of distributed storage is graph partitioning. This paper discussed the par...
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The dramatic growth of massive semantic data has brought about great challenges to the distributed storage for large data. The core technology of distributed storage is graph partitioning. This paper discussed the partition mechanism for graph data flow and the strategy of partitioning heuristic function, and the partitioning algorithm and implementation process of graph data flow for the RDF file. The experiment verified the validity of the partitioning algorithm for graph data flow by comparing with METIS (a multi-level graph partitioning algorithm) and hash partitioning methods, using several true RDF datasets.
How to make dynamic recommendations under volatile user interest drifts has been a problem of great interest in modern recommender systems, where challenges lie in accurate and efficient measurement, modeling, and pre...
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ISBN:
(纸本)9781479973408
How to make dynamic recommendations under volatile user interest drifts has been a problem of great interest in modern recommender systems, where challenges lie in accurate and efficient measurement, modeling, and prediction of the user interest drifts. This paper studies a category-based approach to the problem with the key idea that items are aggregated into categories and recommendations are made on each category. In our approach, we use the category-wise rating matrix to measure the changing preferences of users; we design a dynamic adaptive model (DAM) to describe the patterns of interest drifts; and we utilize linear regression to predict the future interests of users in a category-based manner. We have built a category-based dynamic recommender system and tested it with two well-known datasets. Experimental results show that our proposed approach achieves superior performance on category-based rating prediction compared with state-of-the-art dynamic recommendation algorithms.
Online music services have been popular for end users to obtain music, where user interests, as reflected by their downloading records, are crucial for service providers to understand users and thus to provide persona...
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ISBN:
(纸本)9781479947164
Online music services have been popular for end users to obtain music, where user interests, as reflected by their downloading records, are crucial for service providers to understand users and thus to provide personalization. However, the raw downloading records are of huge volume and difficult to analyze intuitively. We study a visualization approach to analyzing downloading records so as to present user interests. To reveal the underlying relevance between music tracks, we utilized not only the metadata of music (especially genres), but also collaborative relevance that is voted by users. To present time varying user interests, we designed several new figures, namely Bean plot, Instrument plot, and Transitional Pie plot, that are capable in displaying different aspects of user interests variation. We have performed experiments with a real-world data set, and the results show the effectiveness of our proposed visualization method. Our work is also inspiring for visualization of time varying data in other applications.
This paper studies the semi-global leader-following consensus problem for a group of linear systems in the presence of both actuator position and rate saturation. Each follower agent in the group is described by a gen...
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This paper studies the semi-global leader-following consensus problem for a group of linear systems in the presence of both actuator position and rate saturation. Each follower agent in the group is described by a general linear system subject to simultaneous actuator position and rate saturation. We construct a low gain based linear state feedback control law for each follower agent and show that semi-global leader-following consensus can be achieved by using these control laws when the communication topology among follower agents is a connected undirected graph and the leader is a neighbor of at least one follower. Simulation results illustrate the theoretical results.
E-healthcare systems of Wireless Body Area Network(WBAN) promise enormous change in future healthcare industry. The system generally consists of multiple sensor nodes that monitor various medical signals and deliver d...
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E-healthcare systems of Wireless Body Area Network(WBAN) promise enormous change in future healthcare industry. The system generally consists of multiple sensor nodes that monitor various medical signals and deliver data to a network coordinator for further processing. One of the major issues of such systems is energy efficiency, owing to the limited power supply and difficult replacement of batteries in some implanted sensors. Hence, developing an energy-efficient scheduling policy to prolong sensors' lifetime brings great significance to a WBAN. In this paper, we investigate the problem with Lyapunov optimization technique and propose a dynamic scheduling policy including sleep scheduling and opportunistic transmission, which takes into account time-varying channel condition. We demonstrate that our policy can push the energy consumption arbitrarily close to the global minimum solution while sustaining the network stability.
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