The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Under the cloud manufacturing environment, with the increasing number of manufacturing cloud services, one of the issues needs to be resolved is to find a manufacturing cloud service that meets users' demand. However, until now, there is not an outstanding manufacturing cloud discovery mechanism to help users to find the appropriate solution among numerous existing manufacturing cloud services. In...
The value of boiler drum level is usually obtained by operator visual reading to bicolor water level gauge, but it brings the problems such as inefficiency and bigger subjective error. In order to get value corresponding to the meter in the image, the processing algorithms based on Chow-Kaneko threshold processing and ISEF (Infinite Symmetric Exponential Filter) for image of the gauge are studied,...
In this paper, a method for calibrating and compensating the errors of magnetometer is proposed, in which the error sources consist of constant bias, scale factors, nonorthogonality, hard iron effects and soft iron effects. Related estimation algorithms were proposed, calibration procedure was presented. Two dimensional and three dimensional cases are considered, the efficiency of the proposed algorithms...
Along with the rapid development of the Internet, especially the advent of cloud computing era, instance-intensive workflow applications will play an increasingly important role in people's daily life. Most of the existing scheduling algorithms are designed just for a single complex workflow instance. This paper takes cloud workflow as a research background, completely generalizes and describes the...
Outlier detection is an important procedure in industrial dataset preprocess to guarantee the industrial process operating normally. This paper proposed a new local density definition in the basis of the minimum hyper sphere for outlier mining algorithm. First, the novel local k-density definition of an object is proposed by using the minimum enclosing hyper sphere algorithm. After this, the new k-density...
In this paper, a High Precise Optimization Algorithm for manipulating multi-layered feed-forward neural network is studied. Its basic principle is: defining neural network average error as objective function, weights and thresholds as design variables, through design variables rationally sorted, objective function is dynamically formed. Compared the new method with BP, the optimum step-length can...
In this paper we study the auction games for the allocation of divisible resources under the progressive second price mechanism under which the incentive compatibility holds, i.e., the truth-telling bid strategy is the best response of individual players under this mechanism. We design a novel dynamic process for the underlying PSP auction games following which the system will converge to the Nash...
A transform domain algorithm using channel selecting is proposed for visual saliency in this paper. This algorithm is able to improve the accuracy of the traditional transform domain saliency detection while preserving their advantage of fast processing speed. Based on the image signature algorithm, we select the channels by calculating the correlation values between each channel. Then, the selected...
In this paper, a novel improved multiobjective particle swarm optimization (IMOPSO) is proposed for solving the optimal reactive power dispatch (ORPD) problem with multiple and competing objectives. In order to improve the global search capability and the nondominated solutions diversity, time variant parameters, mutation operator, and dynamic crowding distance are incorporated into the MOPSO algorithm...
As one of the typical examples of Swarm Intelligence Algorithm, POS has been applied successfully in many fields. But it cannot guarantee a globally optimal solution. To improve that, researchers use related theories in quantum mechanics combined with the basic convergence of particle swarm and put forward a new model of PSO as Quantum-behaved PSO. The new algorithm is convenient for appliance and...
When solving complex function optimization problem, Differential evolution(DE) algorithms may suffer from low convergence rate. In this paper, we propose an improved differential evolution algorithm named n-IDE. Our algorithm uses Gaussian sequence to dynamically generate zoom factors and applies an improved hybrid mutation strategy to individuals in order to improve the overall performance. We compare...
Clustering is such an algorithm which merges the most similar pair of samples into the same classification at every iteration. The traditional similarity evaluation function is manually designed, but the recent interest focuses on supervised or semi-supervised learning where the ground-truth clustered data can be available for training. This paper will first describes how to train a similarity function...
Island operation of a fraction of power distribution network with distributed generators (DGs) is considered an efficient operational paradigm to enhance the security of power supply. This paper attempts to address the issue of island partitioning in distribution network with the penetration of small-scale DGs and present a two-stage algorithmic solution. In the suggested solution, the CSP-based method...
This paper introduces the development process of face recognition and analyses representative algorithms for each period. Considering different races and numbers of samples in database, and a wide variety of pose, shelter, illumination, and expressions, different algorithms are tested based on the application requirement. It adopts CAS-PEAL-R1 face database, composed entirely by Asian faces, while...
The purpose of this paper is to analyze team members' complex scientific research relationships and shape the team's internal complex scientific research networks. The social network analysis method and fuzzy method are used to analyze team members' scientific research relationships on the basis of their cross-citations, collaborations, co-words, bibliographic coupling and co-citations. The team members'...
Detection of polymorphic malware variants plays an important role to improve information system security. Traditional static/dynamic analysis technologies have shown to be an effective characteristic that represents polymorphic malware instances. While these approaches demonstrate promise, they are themselves subject to a growing array of countermeasures that increase the cost of capturing these malware...
With the rapid development of Wireless Sensor Networks (WSNs), besides the energy efficient, Quality of Service (QoS) supported and the validity of packet transmission should be considered under some circumstances. In this paper, according to summing up LEACH protocol's advantages and defects, combining with trust evaluation mechanism, energy and QoS control, a trust-based QoS routing algorithm is...
UV/vis spectrometric quantification is widely applied in water quality monitoring systems. The UV/vis spectrum contains a huge amount of information about the water composition so that it can be used to measure the density of substances. However, the traditional methods to estimate densities using spectrum based on Lambert-Beer's law become invalid in UV/vis spectrum because of the strong correlation...
In this paper, a coordinated tracking control problem is studied for coupled nonholonomic mobile robots with limited information of a reference trajectory. A distributed control law with adaptive time-varying gains is proposed to guarantee that the robots can form a prespecified geometric pattern while the centroid of the geometric pattern can track the reference signal. By designing the adaptive...
This paper mainly describes the omnidirectional walking motion design of humanoid robot soccer team called Apollo3D. In this paper, we employed a model which is based on double linear inverted pendulum with a predictive control to generate a motion trajectory of the robot's trunk in the premise of keeping dynamic balance of robots. Parameters for walk are optimized for maximum speed through an approach...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.