Search scope:
排序： Display mode:
Lane changing assistance strategy based on an improved probabilistic model of dynamic occupancy grids Research Articles
Zhengcai Yang, Zhenhai Gao, Fei Gao, Xinyu Wu, Lei He,gaozh@jlu.edu.cn
Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 11, Pages 1492-1504 doi: 10.1631/FITEE.2000439
Keywords： 占用网格；概率模型；换道辅助
Machine learning based altitude-dependent empirical LoS probability model for air-to-ground communications Research Article
Minghui PANG, Qiuming ZHU, Zhipeng LIN, Fei BAI, Yue TIAN, Zhuo LI, Xiaomin CHEN
Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 9, Pages 1378-1389 doi: 10.1631/FITEE.2200041
Keywords： Line-of-sight probability model Air-to-ground channel Machine learning Ray tracing
A robust optimization model considering probability distribution
Ding Ran,Li Qiqiang,Zhang Yuanpeng
Strategic Study of CAE 2008, Volume 10, Issue 9, Pages 70-73
Robust optimization is a method to process optimization problem under uncertainty. The current robust optimization methods have some deficiencies in application conditions and probability utilization. Based on the chance constraints programming, two kinds of robust constraints according to two different kinds of probability distribution of the stochastic parameters are proposed, and a novel robust optimization model is proposed. The feasible solutions of this model can be controlled to satisfy the robust index. This model can be used in the situations that both sides of the constraints contain stochastic parameters, and can be easily extended to non-liner models. The simulation results illustrate the validity of the model.
Keywords： uncertainty robust optimization stochastic programming chance constraints
Fairness analysis of extra-gain guilty of a non-repudiation protocol Research Articles
Xu GUO
Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 6, Pages 893-908 doi: 10.1631/FITEE.2100413
Many traditional applications can be refined thanks to the development of blockchain technology. One of these services is , in which participants in a communication process cannot deny their involvement. Due to the vulnerabilities of the protocols, one of the parties involved in the communication can often avoid rules and obtain the expected information to the detriment of the interests of the other party, resulting in adverse effects. This paper studies the fairness guarantee quantitatively through . E-fairness is measured by modeling the protocol in probabilistic timed automata and verifying the appropriate property specified in the probabilistic computation tree logic. Furthermore, our analysis proposes insight for choosing suitable values for different parameters associated with the protocol so that a certain degree of fairness can be obtained. Therefore, the reverse question—for a certain degree of fairness ε, how can the protocol parameters be specified to ensure fairness—is answered.
Keywords： Non-repudiation Fairness analysis Probabilistic model checking PRISM
Collapse Probability of Building Caused by Fire
Sun Jinhua,Sun Zhanhui,Lu Shouxiang,Fan Weicheng
Strategic Study of CAE 2003, Volume 5, Issue 11, Pages 51-55
With the architectonic development, steel structure is used in more and more architectures. Because of the bad fire performance of steel structure, collapse may occur. In the American 911 accidents, the fire caused by airplane crash led to collapse of WTC, mass and personnel loss is huge. Therefore researches of building collapse caused by fire are very necessary. The absence of knowledge regarding fire dynamics linked to the fact that fire can be considered a random phenomenon has led to general use of prescriptive fire regulations all over the world. This paper mainly introduces the research on collapse probability of building.
According to statistical theory and characteristics of building fire, the probability distribution functions of fire load and the fire duration time of office buildings are presented. The influencing factors to the building collapse under the condition of fire are studied. Based on the fire statistic results, fire dynamical theory and characteristics of building fire, an evaluation method of the collapse probability of building caused by fire is developed in this paper.
Keywords： building fire fire load collapse probability
Secrecy outage performance for wireless-powered relaying systems with nonlinear energy harvesters Article
继亮 张,高峰 潘,宜原 解
Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 2, Pages 246-252 doi: 10.1631/FITEE.1601352
A novel algorithm to counter cross-eye jamming based on a multi-target model Research Articles
Zhi-yong SONG, Xing-lin SHEN, Qiang FU
Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 7, Pages 988-1001 doi: 10.1631/FITEE.1800394
Cross-eye jamming is an electronic attack technique that induces an angular error in the monopulse radar by artificially creating a false target and deceiving the radar into detecting and tracking it. Presently, there is no effective anti-jamming method to counteract cross-eye jamming. In our study, through detailed analysis of the jamming mechanism, a multi-target model for a cross-eye jamming scenario is established within a random finite set framework. A novel anti-jamming method based on multitarget tracking using probability hypothesis density filters is subsequently developed by combining the characteristic differences between target and jamming with the releasing process of jamming. The characteristic differences between target and jamming and the releasing process of jamming are used to optimize particle partitioning. Particle identity labels that represent the properties of target and jamming are introduced into the detection and tracking processes. The release of cross-eye jamming is detected by estimating the number of targets in the beam, and the distinction between true targets and false jamming is realized through correlation and transmission between labels and estimated states. Thus, accurate tracking of the true targets is achieved under severe jamming conditions. Simulation results showed that the proposed method achieves a minimum delay in detection of cross-eye jamming and an accurate estimation of the target state.
Keywords： Particle identity labels Probability hypothesis density Cross-eye jamming Anti-jamming Random finite set Monopulse radar
Hybrid-driven Gaussian process online learning for highly maneuvering multi-target tracking Research Article
Qiang GUO, Long TENG, Tianxiang YIN, Yunfei GUO, Xinliang WU, Wenming SONG
Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 11, Pages 1647-1656 doi: 10.1631/FITEE.2300348
Keywords： Target tracking Gaussian process Data-driven Online learning Model-driven Probabilistic data association
Building Fire Direct Loss Evaluation Based on Fire Dynamics and Probability Statistics Theory
Chu Guanquan,Sun Jinhua
Strategic Study of CAE 2004, Volume 6, Issue 8, Pages 64-68
Based on fire growth probability and burned area, the method for evaluating burned area in building fire is presented in this paper. According to fire dynamics and different characteristics in fire growth process, the process is divided into four phases. By means of probability theory and event tree analysis, fire growth probability and critical time of every phase are calculated. Average burned area of building can be evaluated.
Keywords： building fire fire risk evaluation event tree probability burned area
Shu-you ZHANG, Ye GU, Xiao-jian LIU, Jian-rong TAN
Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 2, Pages 235-245 doi: 10.1631/FITEE.1700763
Keywords： Product design Knowledge push Applicable probability matching Multidimensional context Personalization
Toward the Next Generation of Retinal Neuroprosthesis: Visual Computation with Spikes Review
Zhaofei Yu, Jian K. Liu, Shanshan Jia, Yichen Zhang, Yajing Zheng, Yonghong Tian, Tiejun Huang
Engineering 2020, Volume 6, Issue 4, Pages 449-461 doi: 10.1016/j.eng.2020.02.004
A neuroprosthesis is a type of precision medical device that is intended to manipulate the neuronal signals of the brain in a closed-loop fashion, while simultaneously receiving stimuli from the environment and controlling some part of a human brain or body. Incoming visual information can be processed by the brain in millisecond intervals. The retina computes visual scenes and sends its output to the cortex in the form of neuronal spikes for further computation. Thus, the neuronal signal of interest for a retinal neuroprosthesis is the neuronal spike. Closed-loop computation in a neuroprosthesis includes two stages: encoding a stimulus as a neuronal signal, and decoding it back into a stimulus. In this paper, we review some of the recent progress that has been achieved in visual computation models that use spikes to analyze natural scenes that include static images and dynamic videos. We hypothesize that in order to obtain a better understanding of the computational principles in the retina, a hypercircuit view of the retina is necessary, in which the different functional network motifs that have been revealed in the cortex neuronal network are taken into consideration when interacting with the retina. The different building blocks of the retina, which include a diversity of cell types and synaptic connections—both chemical synapses and electrical synapses (gap junctions)—make the retina an ideal neuronal network for adapting the computational techniques that have been developed in artificial intelligence to model the encoding and decoding of visual scenes. An overall systems approach to visual computation with neuronal spikes is necessary in order to advance the next generation of retinal neuroprosthesis as an artificial visual system.
Keywords： Visual coding Retina Neuroprosthesis Brain–machine interface Artificial intelligence Deep learning Spiking neural network Probabilistic graphical model
Hu Ronglin,Li Xingguo
Strategic Study of CAE 2007, Volume 9, Issue 10, Pages 65-70
The basic principle of millimeter wave remote controlling munitions (MMW-RCTCM) is demonstrated in the introduction. Then the concept of correctable intercepting flow is proposed. And the anti-air shooting model of millimeter wave remote controlling munitions (MMW-RCTCM) intercepting mobile anti-ship missile (MACM) is established in section 2 and 3. Subsequently, the hitting probability of single MMW-RCTCM vs. single MACM as well as MMW-RCTCM flow vs. single MACM and MMW-RCTCM flow vs. MACM flow are analyzedin detail. The probabilities of the above are simulated based on the parameters of the two sides of attacking and intercepting in the 5th section. It is illustrated that comparing with the non-controlling munitions, the efficiency of MMW-RCTCM is increased remarkably. At the last, it is concluded that the MMW-RCTCM can resist the attacking of saturate flow; ultra-sonic MACM.
Keywords： MMW remote controlling trajectory correction munitions correctable intercepting flow anti-ship missile hitting probability
Chen Mao,Lu Shi
Strategic Study of CAE 2013, Volume 15, Issue 4, Pages 57-61
This paper introduces the development of performance-based method (PBM) for seismic design and evaluation of nuclear safety related structure in nuclear power station in U. S., and systematically explains and discusses the PBM. Based on the updated research and available standards and codes, the main content of PBM includes following 5 aspects: Category of systems structures and components(SSC) according to different performance goal, Determination of performance goal of SSC, determination of seismic input based on PSHA, Fragility Analysis of SSC, and ensure sufficient conservatism of fragility safety to reasonably achieve target performance goal. This paper also gives some recommendations on the research and development of PBM in the future.
Keywords： nuclear power plant nuclear safety system structure and component performance-based seismic safety fragility
An Estimate Method of Parametric in Reliability Engineering
Han Ming
Strategic Study of CAE 2003, Volume 5, Issue 3, Pages 51-56
In this paper, the Bayesian method, an estimate method for parameter in reliability engineering is put forward. The author gives definition of the new Bayesian estimate for failure probability and failure rate, and shows the estimate of the failure probability and the failure rate by new Bayesian method. Finally, calculations are performed regarding to practical problems, which show that the new Bayesian method is feasible, easy to operate, and convenient to use for engineers and technicians in fieldwork.
Keywords： reliability engineering parameter estimate new Bayesian estimate failure probability
Higher Moment Method in Reliability Analysis of Engineering Structure
Gong Fengqiang,Li Xibing,Deng Jian
Strategic Study of CAE 2006, Volume 8, Issue 5, Pages 69-73
A higher moment method with the basis of Chebyshev polynomial { Tk(x)} is presented, which is used in the reliability analysis of engineering structures. The equations of optimal probability density function of stochastic variable or limit state function are derived by use of the higher moments of the function. Subsequently, a reliability index or failure probability of the engineering structures can be calculated. From the comparison of the classical distribution function and the failure probability for the components, this method is proved to be valuable and practicable in engineering application.
Keywords： structure reliability higher moment Chebyshev polynomial failure probability
Title Author Date Type Operation
Lane changing assistance strategy based on an improved probabilistic model of dynamic occupancy grids
Zhengcai Yang, Zhenhai Gao, Fei Gao, Xinyu Wu, Lei He,gaozh@jlu.edu.cn
Journal Article
Machine learning based altitude-dependent empirical LoS probability model for air-to-ground communications
Minghui PANG, Qiuming ZHU, Zhipeng LIN, Fei BAI, Yue TIAN, Zhuo LI, Xiaomin CHEN
Journal Article
A robust optimization model considering probability distribution
Ding Ran,Li Qiqiang,Zhang Yuanpeng
Journal Article
Collapse Probability of Building Caused by Fire
Sun Jinhua,Sun Zhanhui,Lu Shouxiang,Fan Weicheng
Journal Article
Secrecy outage performance for wireless-powered relaying systems with nonlinear energy harvesters
继亮 张,高峰 潘,宜原 解
Journal Article
A novel algorithm to counter cross-eye jamming based on a multi-target model
Zhi-yong SONG, Xing-lin SHEN, Qiang FU
Journal Article
Hybrid-driven Gaussian process online learning for highly maneuvering multi-target tracking
Qiang GUO, Long TENG, Tianxiang YIN, Yunfei GUO, Xinliang WU, Wenming SONG
Journal Article
Building Fire Direct Loss Evaluation Based on Fire Dynamics and Probability Statistics Theory
Chu Guanquan,Sun Jinhua
Journal Article
A knowledge push technology based on applicable probability matching and multidimensional context driving
Shu-you ZHANG, Ye GU, Xiao-jian LIU, Jian-rong TAN
Journal Article
Toward the Next Generation of Retinal Neuroprosthesis: Visual Computation with Spikes
Zhaofei Yu, Jian K. Liu, Shanshan Jia, Yichen Zhang, Yajing Zheng, Yonghong Tian, Tiejun Huang
Journal Article
Simulation on Hitting Probability of MMW Remote ControllingTrajectory Correction Munition Intercepting Mobile Anti-ship Missile
Hu Ronglin,Li Xingguo
Journal Article
Preliminary application study of performance-based method for seismic design and evaluation of nuclear safety related structure in nuclear power station
Chen Mao,Lu Shi
Journal Article
京公网安备 11010502051620号
