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Che L.,Northwestern Polytechnical University | Che L.,National Key Laboratory of Underwater Information Process and Control | Kang F.,Northwestern Polytechnical University | Kang F.,National Key Laboratory of Underwater Information Process and Control
ICIC Express Letters, Part B: Applications | Year: 2016

Aiming at the fundamental issue of optimal viewpoint selection for the 3D visualization, this paper presents an intelligent optimal viewpoint selection algorithm based on multi-attribute fusion. Through analyzing the influence of several digital image factors (luminance, chrominance, texture details and spatial location, etc.) on human visual characteristics, the mathematical models are established. Combined with intrinsic geometry information, a novel viewpoint quality metric in line with visual characteristic named Viewpoint Potency is built. Evolution algorithm is utilized to select the optimal viewpoint automatically and intelligently. Experimental results demonstrate that the optimal viewpoint selected by the proposed algorithm shares more in common with the sensory choice of human beings. In comparison with existing methods, the proposed method has high efficiency, and requires no user interaction and semantic computation. © 2016 ICIC International.


Liang H.,Northwestern Polytechnical University | Liang H.,National Key Laboratory of Underwater Information Process and Control | Kang F.,Northwestern Polytechnical University | Kang F.,National Key Laboratory of Underwater Information Process and Control
Optik | Year: 2016

In order to improve the collaborative capability and efficiency, based on Multi-agent system (MAS) and Contract Net Protocol (CNP), a novel task optimal allocation approach Improved Contract Net Protocol (ICNP) is creatively proposed, which mainly focuses on multi-stage reducing network communication to improve the efficiency of the system and the quality of the task completed. In Task Announcement stage, regional trust degree (RTD) is introduced to decrease the communication scope; and in Bidding stage, the abilities are mainly focus to improve learning ability of contractor agent; also in Awarding stage, a least square method combination of subjective and objective is designed to evaluate the biding, which consider the subjective weight and objective weight from the analytic hierarchy process and driving principle of difference respectively. Finally in Executing and Monitoring stage, adaptive adjustment mechanism is employed to change the RTD. During this multi-level process, the Agent-oriented UUV swarm system can make dynamic task allocation based on environment change. Simulation results show the proposed ICNP can realize task optimal allocation for Agent-oriented UUV swarm system modeling. © 2016 Elsevier GmbH.


Che L.,Northwestern Polytechnical University | Che L.,National Key Laboratory of Underwater Information Process and Control | Kang F.,Northwestern Polytechnical University | Kang F.,National Key Laboratory of Underwater Information Process and Control
Communications in Computer and Information Science | Year: 2016

In this paper, a novel viewpoint scoring method based on multiattribute fusion is proposed. The perceptual model of viewpoint preference is explored from geometry and visual perception aspects. Modified mesh saliency entropy is presented as the crucial intrinsic geometric attribute. Several digital image factors which have influence on human visual perception form the viewpoint perception attributes. Evolution algorithm is utilized to select the canonical viewpoint automatically and intelligently. Experimental results demonstrate that the canonical viewpoint obtained by the proposed method contains more visible salient features and better conforms to human visual perception characteristic. Moreover, the method has high efficiency and requires no user interaction. © Springer Science+Business Media Singapore 2016.


Zeng Y.,Northwestern Polytechnical University | Zeng Y.,National Key Laboratory of Underwater Information Process and Control | Kang F.,Northwestern Polytechnical University | Kang F.,National Key Laboratory of Underwater Information Process and Control | And 2 more authors.
Journal of Computational Information Systems | Year: 2013

Data structure of digital elevation model (DEM) is complex in realistic terrain visualization, and it's slow to simulate. In this paper, a visualization algorithm based on adaptive multi-features fusion is proposed. First, the entropy of terrain elevation is adopted. Feature extraction for Real elevation data can generate terrain overall framework. Next, in order to increase high frequency detail, we use the random midpoint displacement algorithm and optimize the fractal parameters. Third, we calculate distance threshold between the viewpoint and the terrain, which corresponds to the level of detail (LOD), so as to achieve the adaptive scheduling of terrain. Finally, we propose an uncertain multi-features fusion algorithm to update terrain characteristics according to uncertainty determinant factor (UDF). Simulation results show that the algorithm can effectively improve the fidelity of terrain and obtain a good rendering efficiency. © 2013 by Binary Information Press.


Hongtao L.,Northwestern Polytechnical University | Fengju K.,Northwestern Polytechnical University | Fengju K.,National Key Laboratory of Underwater Information Process and Control
Optik | Year: 2016

This paper presents a novel objective optimization approach based on clonal selection algorithm (CSA) to solve the problems of weapon-target assignment (WTA) in warship formation antiaircraft application. The proposed CSA, namely adaptive chaos parallel clonal selection algorithm (ACPCSA), combines the benefits of chaos theory and parallel population classification to realize the population initialization and population update. In this algorithm, Chaos regeneration and Chaos disturbance are creatively employed to design population initialization operator and hyper-mutation operator. And parallel population classification is adopted to design parallel mechanism for all sub-populations, which can keep the population diversity according to affinity. Besides, CSA is improved by adaptive clonal proliferation operator, antibody inhibition operator and antibody circulation supplement operator, where operators can improve global optimization ability and local searching ability. Finally, typical scenario is performed and compared by implementation of other algorithms. Simulation results show that the proposed ACPCSA has good optimization performance in terms of search accuracy and convergence flexibility, which can provide an effective way to solve WTA in warship formation antiaircraft application. © 2016 Elsevier GmbH. All rights reserved.


Hong-Tao L.,Northwestern Polytechnical University | Hong-Tao L.,National Key Laboratory of Underwater Information Process and Control | Feng-Ju K.,Northwestern Polytechnical University | Feng-Ju K.,National Key Laboratory of Underwater Information Process and Control
Optik | Year: 2015

For complexity and variability of obtaining UUV (Unmanned underwater vehicle) underwater movement information by acoustic sensors in underwater environment, a novel Least Square Interacting Multiple Model Unscented Particle Filter (LSIMMUPF) algorithms based Multi-sensor information fusion is proposed to solve the problem of tracking UUV. In order to realize the information fusion of Pitching Angle and Azimuth Angle from sensors, Least Square (LS) is used to pretreat the angles measurement; Moreover, the Interacting Multiple Model Unscented Particle Filter was combined the advantages of automatically adjusting filter bandwidth of Interacting Multiple Model and processing nonlinear non-Gaussian of Particle Filter to process the information pretreated, and the UKF was adopted to generate the important density function and the residual resampling was used to alleviate particle degradation phenomenon. Finally, to verify the performance of the proposed algorithm, a typical simulation is performed. Simulation results show that the proposed algorithm has good accuracy performance, which can satisfy the requirements for UUV. © 2015 Elsevier GmbH. All rights reserved.


Che L.,Northwestern Polytechnical University | Che L.,National Key Laboratory of Underwater Information Process and Control | Kang F.,Northwestern Polytechnical University | Kang F.,National Key Laboratory of Underwater Information Process and Control
Xitong Fangzhen Xuebao / Journal of System Simulation | Year: 2015

With respect to the problem that single-index evaluation of visual quality in the process of intelligent combination of discrete Level-of-Detail (LoD) model for three-dimensional (3D) visualization can easily result in low reliability. Human visual perception and information entropy based multi-index fusion intelligent combination of discrete LoD model algorithm was proposed. Through analyzing the visual perception based image quality evaluation index, multi-index fusion evaluation intelligent combination of discrete LoD model framework was built. Comparative experiment with single index model combination bases on PSO method was designed. Model combination optimizing process utilized modified Particle Swarm Optimization (PSO) method which was strengthened by Genetic Algorithm (GA) to avoid falling into local optimum. Experimental results demonstrate that the proposed method can design high reliability 3D visualization effect which is adapted to human visual perception characteristics, and outperforms other matching methods in designing efficiency and requires no user interaction. ©, 2015, Chinese Association for System Simulation. All right reserved.


Liang H.,Northwestern Polytechnical University | Liang H.,National Key Laboratory of Underwater Information Process and Control | Kang F.,Northwestern Polytechnical University | Kang F.,National Key Laboratory of Underwater Information Process and Control
Xitong Fangzhen Xuebao / Journal of System Simulation | Year: 2015

Task allocation modeling plays an important role in UUV collaborative system. In order to solve task allocation problem for the collaborative capability and efficiency, the Extended Contract Net Protocol (ECNP) task allocation approach was creatively proposed, which mainly focused on narrow the scope of communication and improving the negotiation efficiency. In this approach, Regional Trust Degree was introduced to narrow the scope in Announcement stage; and the capacity constraints (Energy-state, Health-State, and Detecting-window) were employed to decide whether to participate in bidding stage; also mixed-weighting evaluation strategy based on Game theory was proposed to evaluate the biding in Awarding stage. The typical experiment was designed to verify the proposed approach. Simulation results show the proposed model has good performance for Agent-oriented UUV collaborative system. ©, 2015, Chinese Association for System Simulation. All right reserved.


Hong-Tao L.,Northwestern Polytechnical University | Hong-Tao L.,National Key Laboratory of Underwater Information Process and Control | Kang F.-J.,Northwestern Polytechnical University | Kang F.-J.,National Key Laboratory of Underwater Information Process and Control
Optik | Year: 2016

Task allocation plays an important role in collaborative system. This paper focuses on interaction topology and protocol of Multi-agent system (MAS) for task allocation, particularly for UUV collaborative system. The corresponding relationship between UUV formation system and MAS was systematically analyzed and developed from the viewpoint of structural similarity, in which UUV is regarded as the agent member of MAS network to realize the control for task allocation, and then Extended Contract Net Protocol is present based on peer-to-peer topology to complete interactive communication, which mainly focuses on network communication to improve efficiency and quality of task completed. The experiment results demonstrate the proposed distributed task allocation model has better performance on the performance indicators, which can be a good tool to solve the task allocation in the UUV formation system. © 2016 Elsevier GmbH. All rights reserved.


Zeng Y.-Y.,Northwestern Polytechnical University | Zeng Y.-Y.,National Key Laboratory of Underwater Information Process and Control | Kang F.-J.,Northwestern Polytechnical University | Kang F.-J.,National Key Laboratory of Underwater Information Process and Control | And 2 more authors.
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | Year: 2013

According to the problems of random error's rationality in the modeling and the real-time visualization of a complex environment, a novel approach based on high level architecture (HLA) and the military simulation platform "Flames" is presented for underwater counterwork visual systems, which is customizable and reusable. The random error of feature constraint is introduced to build a simulation model based on fractional Brownian motion (fBm). Besides, the ocean surface and underwater space are developed based on the engine of the open scene graph (OSG), which makes full use of the graphic processing unit (GPU) for achieving texture mapping and rendering rapidly of ocean surface, seabed terrain and so on. The system meets the demands of various underwater confrontations (e.g. submarine vs. naval ship, the helicopter vs. submarine, etc). The practical application results show that the system has good real-time properties and visual effects.

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