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With respects to the windup problem exist in control system with Integral Saturation, a kind of fuzzy logic-based compensation method is proposed. Simulation is done to the designed fuzzy compensator and conventional compensator based on back calculation respectively. Simulation results show that the proposed fuzzy method gives generally better tracking performances than the back-calculation. The...
In this paper, we study a traveling-salesman type competition in which several players travel around various objects distributed in a given area and compete with each other in collecting the objects. Similar competitions can be widely found in the real world such as in selling competition, in the competitive gathering of scraps, wastes, seafood or wild foods, etc. In this competition, players move...
Decision tree is an important method for both induction research and data mining, which is mainly used for model classification and prediction. ID3 algorithm is the most widely used algorithm in the decision tree so far. Through illustrating on the basic ideas of decision tree in data mining, in this paper, the shortcoming of ID3's inclining to choose attributes with many values is discussed, and...
Aim at the location problem of distribution center an improved particle swarm optimization algorithm (IPSO) is proposed in this paper. This IPSO is presented to improve the performance of standard PSO with appropriate inertia weight and acceleration constants, which can well prevent premature and it has fast convergence. The experimental results show that the proposed algorithm can well solve the...
The platform of intelligent test is one of the core content for modern distant education system. The reasonable evaluation of intelligence test is the key technology for the embodiment of excellence in intelligent test platform. In this paper, in order to more accurately analyze and evaluate the students' distance learning behavior, process and achievement, we design a remote intelligent test platform,...
In this paper, we consider a class of time-delay dynamical neural networks with nonlinear perturbation. The nonlinear perturbation functions are assumed bounded. we derive a robust stability criterion independent of delay. The sufficient criterion is given in terms of linear matrix inequality (LMI). The checking for robust stability of time-delay dynamical neural networks with nonlinear perturbation...
When generating test paper, traditional distant education online examination system either merely extracts the same test questions from item bank or extracts test questions at random, or select test questions according to some classifications of student. It can not individually varies and give custom made scheme according to student's learning situation. This paper improved the traditional genetic...
Since the CF model has been proposed, it has been successfully applied in some areas and there is one of the representative systems MYCIN. However, the traditional CF model also has a few problems, for example, the inconsistencies of the degree of belief in a hypothesis and conditional probability to some extent. Then this paper will proposed an improved method of the CF model which is the improved...
With the growing popularity of mobile computing and wireless communications, managing the continuously changing information of the moving objects is becoming feasible, especially in LBS application which is characterized by a large number of moving objects and a large number of continuous queries. In this paper, we focus on continuous k-nearest neighbor (CkNN for short) query and propose a query method...
This paper presents a method of modeling robot legs with linear inverted pendulum model based on zero-moment point (ZMP) theory. It quantitatively plans the foot's target pose matrix during the walking of a robot. Our method follows principles of inverse kinematics to get the anti-solution of joints based on Newton-Raphson algorithm and Jacobian matrix, therefore, it amends and optimizes the ZMP....
Clustering techniques in routing protocols can increase the scalability of wireless sensor networks and enable the efficient utilization of the limited energy resources. However, an unequal load on the cluster head nodes results in the problem of unbalanced energy consumption, which reduces network lifetime. We propose a nonuniform density (NUD) model for wireless sensor networks and study the optimal...
This paper proposes a new key management scheme for wireless sensor networks to reduce the memory and communication overhead, and improve the security capacity. Comparing with the typical key pre-distribution schemes, a new method of establishing keys is adopted, and is analyzed deeply in three important performance indexes. The theory of liner combination is applied to generate the keys using the...
With the rapid advances in grid technology, grid reliability becomes an issue of increasing practical concern and research attention. However, managing grid reliability is not easy due to the complicated, large-scale and dynamic natures. This paper studies the reliability problem of grid service imposed by software or hardware failures, and presents a new approach to analyze grid service reliability...
This paper proposes a novel distributed courseware lookup method in pervasive learning environments. This method is based on the concepts of social relationship overlay and pheromone-based ant-like query routing. It exploits an ant-like query routing mechanism, which views query messages as artificial ants, and utilizes pheromone as routing hints that direct query messages to nodes owning more courseware...
Deploying the sensor nodes at the best locations for random field reconstruction via sensor network is a fundamental task. We propose two criteria to evaluate the performance of random field reconstruction. The local optimal solutions for the random field reconstruction under both criteria are also proposed. We show that the local optimal sensor deployments under the proposed criteria are both uniformly...
In this paper, we develop the algorithm of He, Chen's structural decomposition for descriptor systems ([1], [2]). A new algorithm based on elementary operations is given to transform the fast subsystems so that we obtain the expected representation more easily. The result also simplifies the next step of the algorithm by our method.
This paper explores the use of the bus departure control agents to improve bus services, and illustrates the scheme for constructing the agent. The bus departure control agents are capable of better managing bus departure at the start stop. The agents have components belief warehouse, rule warehouse, environmental set, action set and so on. Agent selects actions to perform from action set according...
In this paper, we propose a new method for solving the shipborn weapon system optimal configuration (SWSOC) problem. This method mainly divides establishment of the outranking between schemes into two steps. Firstly, local preference indexes are calculated by comparing the sub-attributes of one scheme with another one, and then these index subsets are integrated into binary relation of two schemes...
The flourishing development of software constantly enlarges its effect on people's daily life. Since the programs designed under Windows OS are usually issued in a form of binary executable file and the source codes are unreachable, the method of disassembling is now used to do reverse engineering for research. This paper starts with Windows portable executable and analyse disassembling result by...
Dissimilarity measure plays a very important role in traditional data clustering. In this paper, we extend the dissimilarity measure as compatible measure and present a new algorithm (CNclustering) based on this measure. The algorithm is a rigorous partition method, it first gets some compatible clusters with a Compclustering method as the initial nucleoids, then absorbs other objects by the absorbing...
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