Most cited articles
1994, 16(3):1-11.
Abstract:
Multisensor information fusion (MIF) has received a widespread attention and has been applied to a lot of research fields in recent years. Its theory and methods have become an important research area of intelligent information processing. In this paper，the basic principles of MIF are discussed. The system structures of MIF are studied from the viewpoints of information manifestation levels and function differentiation respectively. Then the concrete methods adopted in MIF and their applications are introduced and analysed hierarchically. Finally the existing crucial problems are pointed out and the research trends are also emphasized.
Multisensor information fusion (MIF) has received a widespread attention and has been applied to a lot of research fields in recent years. Its theory and methods have become an important research area of intelligent information processing. In this paper，the basic principles of MIF are discussed. The system structures of MIF are studied from the viewpoints of information manifestation levels and function differentiation respectively. Then the concrete methods adopted in MIF and their applications are introduced and analysed hierarchically. Finally the existing crucial problems are pointed out and the research trends are also emphasized.
2 A New Method of Measure the Pitching and Yaw of the Axes Symmetry Object through the Optical Image
2000, 22(2):15-19.
Abstract:
A new method for measurement of the pitching angle and yaw angle of an axes-symmetric object through the optical images is presented, and the accuracy of the method is analyzed. This method is highly accurate because a large amount of information of the object image is used. The difficulty of object matching among several images is avoided since the object's axis is measured in an indirect way.
A new method for measurement of the pitching angle and yaw angle of an axes-symmetric object through the optical images is presented, and the accuracy of the method is analyzed. This method is highly accurate because a large amount of information of the object image is used. The difficulty of object matching among several images is avoided since the object's axis is measured in an indirect way.
2006, 28(6):76-80.
Abstract:
Auto-compensating the drift in optical gyros by IMU rotating mechanism is an important way to enhance the navigation precision. The theory of auto-compensating can be clarified in the navigation error propagating functions. Because the attributes of optical gyro determines that rotation of gyro will inevitably bring extra error, the rotaion of the whole IMU is the only mechanism, An eight-180-degree rotating mechanism of IMU was proposed and illustrated in detail. Analyses and simulation show that errors from long term drift can be highly restrained, thus navigation accuracy of both position and attitude can be greatly enhanced.
Auto-compensating the drift in optical gyros by IMU rotating mechanism is an important way to enhance the navigation precision. The theory of auto-compensating can be clarified in the navigation error propagating functions. Because the attributes of optical gyro determines that rotation of gyro will inevitably bring extra error, the rotaion of the whole IMU is the only mechanism, An eight-180-degree rotating mechanism of IMU was proposed and illustrated in detail. Analyses and simulation show that errors from long term drift can be highly restrained, thus navigation accuracy of both position and attitude can be greatly enhanced.
2011, 33(1):47-52.
Abstract:
Community structure is one of the common topological characteristics of complex networks. Community detection has become a fundamental problem in the research field of complex networks. The new progress of current algorithms for community detection was reviewed. The characteristics of these algorithms were discussesed. Finally, future direction of this active area was proposed.
Community structure is one of the common topological characteristics of complex networks. Community detection has become a fundamental problem in the research field of complex networks. The new progress of current algorithms for community detection was reviewed. The characteristics of these algorithms were discussesed. Finally, future direction of this active area was proposed.
2010, 32(3):115-120.
Abstract:
Unmanned aerial vehicle systems (UAVS) will be an important means of executing information counter, attaining information advantage, and carrying out precision strike in the future. Autonomy is the first technical feature of UAVS, which is different from manned aerial vehicles in nature. To realize autonomous control of UAVS and improve its intelligence degree is an important development trend of UAVS. Autonomous control of UAVS was reviewed in this paper. First development requirement for autonomous control of UAVS was analyzed, and the concept of autonomous control and the autonomy level was introduced. Then the researches in this field were investigated, and the relevant key techniques of autonomous control of UAVS, including the system structure, perception and cognition, planning and control, cooperation and interaction et al, were discussed respectively. Finally, the research areas were proposed to address the development directions.
Unmanned aerial vehicle systems (UAVS) will be an important means of executing information counter, attaining information advantage, and carrying out precision strike in the future. Autonomy is the first technical feature of UAVS, which is different from manned aerial vehicles in nature. To realize autonomous control of UAVS and improve its intelligence degree is an important development trend of UAVS. Autonomous control of UAVS was reviewed in this paper. First development requirement for autonomous control of UAVS was analyzed, and the concept of autonomous control and the autonomy level was introduced. Then the researches in this field were investigated, and the relevant key techniques of autonomous control of UAVS, including the system structure, perception and cognition, planning and control, cooperation and interaction et al, were discussed respectively. Finally, the research areas were proposed to address the development directions.
2002, 24(5):24-28.
Abstract:
The evaluation technology of the Attack Effect of computer networks is an important and challenging subject of security evaluation in information systems. Nowadays, corresponding theory is not mature and correlative research reports are few. In this paper several currently primary evaluation techniques of information security are concisely analyzed. Then three evaluation models, i.e., the evaluation technique based on network information entropy, the security evaluation framework based on analytical hierarchy and the synthetical evaluation technique based on analytical indexes, are presented in order to conveniently measure and estimate the attack effect. Finally, some problems which must be paid attention to in practice are pointed out.
The evaluation technology of the Attack Effect of computer networks is an important and challenging subject of security evaluation in information systems. Nowadays, corresponding theory is not mature and correlative research reports are few. In this paper several currently primary evaluation techniques of information security are concisely analyzed. Then three evaluation models, i.e., the evaluation technique based on network information entropy, the security evaluation framework based on analytical hierarchy and the synthetical evaluation technique based on analytical indexes, are presented in order to conveniently measure and estimate the attack effect. Finally, some problems which must be paid attention to in practice are pointed out.
2003, 25(5):36-39.
Abstract:
Canny algorithm is used in the segmentation of the cell image and it can obtain better effect of segmentation by setting the appropriate parameters.After the histogram of cell image is analyzed,the Ostu algorithm can implement the two threshold's adaptive setting in Canny algorithm. From the test's result, it can be seen that the Otsu algorithm can solve the threshold's setting in Canny algorithm and it can improve the the effect of cell image's segmentation and the adaptive ability of Canny algorithm.
Canny algorithm is used in the segmentation of the cell image and it can obtain better effect of segmentation by setting the appropriate parameters.After the histogram of cell image is analyzed,the Ostu algorithm can implement the two threshold's adaptive setting in Canny algorithm. From the test's result, it can be seen that the Otsu algorithm can solve the threshold's setting in Canny algorithm and it can improve the the effect of cell image's segmentation and the adaptive ability of Canny algorithm.
2011, 33(5):73-77.
Abstract:
Computer simulation is effective for the optimization of complex system. However, it is time-consuming. Therefore, the number of simulations must be strictly confined. To generate a good simulation plan, an optimized Latin hypercube sampling method is put forward. The method can not only reduce the number of simulations, but also ensure the generated plan of good orthogonality and proportional spacing. Cholesky decomposition was borrowed to generate initial solution, and simulated annealing algorithm was used to get optimized array. Also a dynamic weight parameter was defined to balance different optimization objectives. Finally, an example was constructed. The result shows that the optimized Latin hypercube sampling method can generate a sound simulation plan with less simulation.
Computer simulation is effective for the optimization of complex system. However, it is time-consuming. Therefore, the number of simulations must be strictly confined. To generate a good simulation plan, an optimized Latin hypercube sampling method is put forward. The method can not only reduce the number of simulations, but also ensure the generated plan of good orthogonality and proportional spacing. Cholesky decomposition was borrowed to generate initial solution, and simulated annealing algorithm was used to get optimized array. Also a dynamic weight parameter was defined to balance different optimization objectives. Finally, an example was constructed. The result shows that the optimized Latin hypercube sampling method can generate a sound simulation plan with less simulation.
2002, 24(4):29-32.
Abstract:
Reliability enhancement testing (RET) and accelerated life testing (ALT) are the focus of attention in reliability testing research at present. The basic concepts about RET and ALT are discussed at first. The state-of-the-art in the research concerned is then briefly reviewed. The possible directions for further research in RET and ALT are summarized in the end.
Reliability enhancement testing (RET) and accelerated life testing (ALT) are the focus of attention in reliability testing research at present. The basic concepts about RET and ALT are discussed at first. The state-of-the-art in the research concerned is then briefly reviewed. The possible directions for further research in RET and ALT are summarized in the end.
2008, 30(6):39-42,62.
Abstract:
The fluoropolymer-based reactive material is a kind of sub-stable energetic composites which contain metal powders, fluoropolymer and fillings. It is also a new kind of energetic material widely reported in recent years. In this paper, the PTFE/Al reactive material was prepared by using the cold press and hot sinter method. The physicochemical performance and mechanical property of PTFE/Al were studied, and the pressing and sintering technical parameters were optimized.
The fluoropolymer-based reactive material is a kind of sub-stable energetic composites which contain metal powders, fluoropolymer and fillings. It is also a new kind of energetic material widely reported in recent years. In this paper, the PTFE/Al reactive material was prepared by using the cold press and hot sinter method. The physicochemical performance and mechanical property of PTFE/Al were studied, and the pressing and sintering technical parameters were optimized.
11 Numerical Simulation of Coupled Aeroheating and Solid HeatPenetration for a Hypersonic Blunt Body
2003, 25(1):35-39.
Abstract:
The coupling problems of aeroheating and solid heat penetration are very important to aerospace and engineering applications. The loosely-coupled and the fully-coupled methodology are both applied to simulate a two-dimensional hypersonic fluid-solid thermally coupled flow around a cylinder. The unsteady Navier-Stokes equations and the 2D unsteady heat-conduction equation are derived, solved by the finite volume and the Galerkin finite element methods respectively. The coupling is processed by the boundary conditions of heat flux and temperature at the fluid/solid interface. The flow part is solved by AUSM+ and explicit multi-step Runge-Kutta method. The results are compared with the experimental data and computational results from the reference. The method is shown to give good predictions of the temperature variation and heat flux distribution, and the loosely-coupled method is shown to be more efficient and similar accurate if the characteristic time for fluid is far less than the time for solid.
The coupling problems of aeroheating and solid heat penetration are very important to aerospace and engineering applications. The loosely-coupled and the fully-coupled methodology are both applied to simulate a two-dimensional hypersonic fluid-solid thermally coupled flow around a cylinder. The unsteady Navier-Stokes equations and the 2D unsteady heat-conduction equation are derived, solved by the finite volume and the Galerkin finite element methods respectively. The coupling is processed by the boundary conditions of heat flux and temperature at the fluid/solid interface. The flow part is solved by AUSM+ and explicit multi-step Runge-Kutta method. The results are compared with the experimental data and computational results from the reference. The method is shown to give good predictions of the temperature variation and heat flux distribution, and the loosely-coupled method is shown to be more efficient and similar accurate if the characteristic time for fluid is far less than the time for solid.
2003, 25(1):21-25.
Abstract:
It is very important to study Large Scale Networks Intrusion Detection and Warning System(LSNIDWS), which can increase the network systems reaction ability to catastrophe, slow down the harm of the network attack, enhance system counterattack ability.The summarization of studying situation in the world is first presented. Then, the structure and its component of LSNIDWS are presented.Finally, the key technology and difficulties related to building LSNIDWS prototype are discussed.
It is very important to study Large Scale Networks Intrusion Detection and Warning System(LSNIDWS), which can increase the network systems reaction ability to catastrophe, slow down the harm of the network attack, enhance system counterattack ability.The summarization of studying situation in the world is first presented. Then, the structure and its component of LSNIDWS are presented.Finally, the key technology and difficulties related to building LSNIDWS prototype are discussed.
2006, 28(3):83-88.
Abstract:
Task allocation is one of the core steps to effectively exploit the capabilities of cooperative control of multi-UCAV. Factors that effect the three key tactical objects, target value damage, UCAV attritions and task expending time are analyzed. By integrating the two typical instances in combat, that is multi-UCAV attacking the same target simultaneously and using soft kill weapon systems, a multi-UCAV cooperation task allocation model for attacking task is formulated. A new algorithm based on the principles of particle swarm optimization is proposed. Simulation results indicate that the task allocation model formulated in this paper is rational and the PSO based algorithm is effective.
Task allocation is one of the core steps to effectively exploit the capabilities of cooperative control of multi-UCAV. Factors that effect the three key tactical objects, target value damage, UCAV attritions and task expending time are analyzed. By integrating the two typical instances in combat, that is multi-UCAV attacking the same target simultaneously and using soft kill weapon systems, a multi-UCAV cooperation task allocation model for attacking task is formulated. A new algorithm based on the principles of particle swarm optimization is proposed. Simulation results indicate that the task allocation model formulated in this paper is rational and the PSO based algorithm is effective.
1998, 20(2):49-53.
Abstract:
A new exact, explicit, uniterative, and computationally effcient solution of nonlinear equation set for estimation of emitter position based on the time differences of arrival (TDOA) measured by multi-stations is proposed in this paper. The accuracy analysis of the location method is also presented. Finally performance evaluation results of emitter location by using TDOA information are illustrated by some graphs of Geometrical Dilution of Precision (GDOP) under various conditions in the specific surveillance region.
A new exact, explicit, uniterative, and computationally effcient solution of nonlinear equation set for estimation of emitter position based on the time differences of arrival (TDOA) measured by multi-stations is proposed in this paper. The accuracy analysis of the location method is also presented. Finally performance evaluation results of emitter location by using TDOA information are illustrated by some graphs of Geometrical Dilution of Precision (GDOP) under various conditions in the specific surveillance region.
2007, 29(2):101-107.
Abstract:
Some typical methods for human reliability analysis are surveyed. Firstly, the definition of human reliability is discussed. Secondly, several typical methods are chosen from the first generation methods for comparison and review. Their basic characters and limitations are discussed. Thirdly, two typical methods of the second generation are analyzed in detail. The comparison between the above and the preceding methods is carried out while their advantages and drawbacks are presented. Finally, further research suggestion is proposed.
Some typical methods for human reliability analysis are surveyed. Firstly, the definition of human reliability is discussed. Secondly, several typical methods are chosen from the first generation methods for comparison and review. Their basic characters and limitations are discussed. Thirdly, two typical methods of the second generation are analyzed in detail. The comparison between the above and the preceding methods is carried out while their advantages and drawbacks are presented. Finally, further research suggestion is proposed.
2006, 28(4):105-109.
Abstract:
Track association has been recognized as one of the major problems in distributed multiple-radar multiple-target tracking systems. Tracks formed on the same targets by multiple radars may differ due to misalignment or bias error. So the traditional features, such as target position and speed, cannot be reliably used for track-to-track association. The information of relative positions among targets, however, is found to contain special characters and can be extracted as target topology vector of reference dynamically. Applying fuzzy pattern recognition to analyze the similarity of vectors or patterns can set up the criterion of association and provide prior information for alignment. Simulation results show that the proposed algorithm is effective to solve the association problem under the condition of inter-radar bias and robust to the random errors.
Track association has been recognized as one of the major problems in distributed multiple-radar multiple-target tracking systems. Tracks formed on the same targets by multiple radars may differ due to misalignment or bias error. So the traditional features, such as target position and speed, cannot be reliably used for track-to-track association. The information of relative positions among targets, however, is found to contain special characters and can be extracted as target topology vector of reference dynamically. Applying fuzzy pattern recognition to analyze the similarity of vectors or patterns can set up the criterion of association and provide prior information for alignment. Simulation results show that the proposed algorithm is effective to solve the association problem under the condition of inter-radar bias and robust to the random errors.
2007, 29(3):118-122.
Abstract:
A new active heave compensation system (AHCS) was proposed, based on a differential planet transmission mechanism. The velocity adjusting feature of differential gear train was analyzed and the working and compensation principles of the AHCS were presented. Furthermore, in terms of the two main purposes of heave compensation and in accordance with the whole process of hoisting from despot ship to aim ship, a mathematical model was established for the computer control of the system.
A new active heave compensation system (AHCS) was proposed, based on a differential planet transmission mechanism. The velocity adjusting feature of differential gear train was analyzed and the working and compensation principles of the AHCS were presented. Furthermore, in terms of the two main purposes of heave compensation and in accordance with the whole process of hoisting from despot ship to aim ship, a mathematical model was established for the computer control of the system.
1999, 21(1):58-61 ，57.
Abstract:
Virtual prototyping is a new kind of technology in products design, development, and assessment, which is based on lntegrated Products and Process Development. In this paper, the concept of virtual prototyping in weapon system is introduced, and the relationship between virtual prototyping and weapon equipment evaluation. Emphases are put on the main research contents and several critical techniques used in virtual prototyping environment. Finally, the perspective of virtual prototyping is given.
Virtual prototyping is a new kind of technology in products design, development, and assessment, which is based on lntegrated Products and Process Development. In this paper, the concept of virtual prototyping in weapon system is introduced, and the relationship between virtual prototyping and weapon equipment evaluation. Emphases are put on the main research contents and several critical techniques used in virtual prototyping environment. Finally, the perspective of virtual prototyping is given.
2001, 23(6):83-89.
Abstract:
Smart antennas receive much attention recently in the communication field. The basic principle of smart antennas is first expounded. Then the uplink narrowband adaptive beamforming algorithms are introduced. The adaptive beamforming algorithms are classified, and the characteristic of each algorithm is discussed in detail. The study status and applications of smart antennas are described in the end.
Smart antennas receive much attention recently in the communication field. The basic principle of smart antennas is first expounded. Then the uplink narrowband adaptive beamforming algorithms are introduced. The adaptive beamforming algorithms are classified, and the characteristic of each algorithm is discussed in detail. The study status and applications of smart antennas are described in the end.
2007, 29(5):95-99.
Abstract:
A novel alignment method for swaying base, such as a sailing ship, is presented with the aid of a cascade of FIR filters and a transitional inertial frame. For the method, an investigation was made about the error characteristics, which shows that the alignment accuracy mainly depends upon the equivalent biases of gyroscopes in east direction and performance of FIR filter group, the aligning time rests with the orders of the FIR filter group, and the problem of large initial misalignment is resolved in theory. Results of experiments show that the proposed method converges much faster than the traditional methods at no cost of precision and also works well under any large initial misalignment.
A novel alignment method for swaying base, such as a sailing ship, is presented with the aid of a cascade of FIR filters and a transitional inertial frame. For the method, an investigation was made about the error characteristics, which shows that the alignment accuracy mainly depends upon the equivalent biases of gyroscopes in east direction and performance of FIR filter group, the aligning time rests with the orders of the FIR filter group, and the problem of large initial misalignment is resolved in theory. Results of experiments show that the proposed method converges much faster than the traditional methods at no cost of precision and also works well under any large initial misalignment.
