Study on Dynamic Information of Animal Genetic Resources in China

The dynamic information of 331 animal genetic resources in 17 important animal genetic resource provinces (regions) was analyzed. According to the population inbreeding coefficient, combining with the information of population dynamic change trend and cross degree, these genetic resources for threatened degrees were classified. The results indicated that the population size of 138 breeds had increased, 147 breeds had decreased, 3 breeds were constant, 7 breeds (or varieties) were extinct, 9 breeds (or varieties) were critically endangered and needed urgently conserve, 50 breeds (or varieties) were endangered and should be conserved. We put forward a conservation and utilization plan for animal genetic resources.

Cooperative maneuver decision making for multi-UAV air combat based on incomplete information dynamic game

Cooperative autonomous air combat of multiple unmanned aerial vehicles(UAVs)is one of the main combat modes in future air warfare,which becomes even more complicated with highly changeable situation and uncertain information of the opponents.As such,this paper presents a cooperative decision-making method based on incomplete information dynamic game to generate maneuver strategies for multiple UAVs in air combat.Firstly,a cooperative situation assessment model is presented to measure the overall combat situation.Secondly,an incomplete information dynamic game model is proposed to model the dynamic process of air combat,and a dynamic Bayesian network is designed to infer the tactical intention of the opponent.Then a reinforcement learning framework based on multiagent deep deterministic policy gradient is established to obtain the perfect Bayes-Nash equilibrium solution of the air combat game model.Finally,a series of simulations are conducted to verify the effectiveness of the proposed method,and the simulation results show effective synergies and cooperative tactics.

Foundations and Applications of Information Systems Dynamics

Although numerous advances have been made in information technology in the past decades,there is still a lack of progress in information systems dynamics(ISD),owing to the lack of a mathematical foundation needed to describe information and the lack of an analytical framework to evaluate information systems.The value of ISD lies in its ability to guide the design,development,application,and evaluation of largescale information system-of-systems(So Ss),just as mechanical dynamics theories guide mechanical systems engineering.This paper reports on a breakthrough in these fundamental challenges by proposing a framework for information space,improving a mathematical theory for information measurement,and proposing a dynamic configuration model for information systems.In this way,it establishes a basic theoretical framework for ISD.The proposed theoretical methodologies have been successfully applied and verified in the Smart Court So Ss Engineering Project of China and have achieved significant improvements in the quality and efficiency of Chinese court informatization.The proposed ISD provides an innovative paradigm for the analysis,design,development,and evaluation of large-scale complex information systems,such as electronic government and smart cities.

Grey Relation between Nonlinear Characteristic and Dynamic Uncertainty of Rolling Bearing Friction Torque

The rolling bearing friction torque which is characterized by its uncertainty and nonlinearity affects heavily the dynamic performance of a system such as missiles, spacecrafts and radars, etc. It is difficult to use the classical statistical theory to evaluate the dynamic evaluation of the rolling bearing friction torque for the lack of prior information about both probability distribution and trends. For this reason, based on the information poor system theory and combined with the correlation dimension in chaos theory, the concepts about the mean of the dynamic fluctuant range （MDFR） and the grey relation are proposed to resolve the problem about evaluating the nonlinear characteristic and the dynamic uncertainty of the rolling bearing friction torque. Friction torque experiments are done for three types of the rolling bearings marked with HKTA, HKTB and HKTC separately; meantime, the correlation dimension and MDFR are calculated to describe the nonlinear characteristic and the dynamic uncertainty of the friction torque, respectively. And the experiments reveal that there is a certain grey relation between the nonlinear characteristic and the dynamic uncertainty of the rolling bearing friction torque, viz. MDFR will become the nonlinear increasing trend with the correlation dimension increasing. Under the condition of fewer characteristic data and the lack of prior information about both probability distribution and trends, the unitive evaluation for the nonlinear characteristic and the dynamic uncertainty of the rolling bearing friction torque is realized with the grey confidence level of 87.7%-96.3%.

The dynamics of the risk perception on a social network and its effect on disease dynamics

The perceived infection risk changes individual behaviors,which further affects the disease dynamics.This perception is influenced by social communication,including surveying their social network neighbors about the fraction of infected neighbors and averaging their neighbors’perception of the risk.We model the interaction of disease dynamics and risk perception on a two-layer random network that combines a social network layer with a contact network layer.We found that if information spreads much faster than disease,then all individuals converge on the true prevalence of the disease.On the other hand,if the two dynamics have comparable speeds,the risk perception still converges to a value uniformly on the network.However,the perception lags behind the true prevalence and has a lower peak value.We also study the behavior change caused by the perception of infection risk.This behavior change may affect the disease dynamics by reducing the transmission rate along the edges of the contact network or by breaking edges and isolating the infectious individuals.The effects on the basic reproduction number,the peak size,and the final size are studied.We found that these two effects give the same basic reproduction number.We find edge-breaking has a larger effect on reducing the final size,while reducing the transmission rate has a larger effect on reducing the peak size,which is true for both scale-free and Poisson networks.

A temporal-spatial background modeling of dynamic scenes

Moving object detection in dynamic scenes is a basic task in a surveillance system for sensor data collection. In this paper, we present a powerful back- ground subtraction algorithm called Gaussian-kernel density estimator （G-KDE） that improves the accuracy and reduces the computational load. The main innovation is that we divide the changes of background into continuous and stable changes to deal with dynamic scenes and moving objects that first merge into the background, and separately model background using both KDE model and Gaussian models. To get a temporal- spatial background model, the sample selection is based on the concept of region average at the update stage. In the detection stage, neighborhood information content （NIC） is implemented which suppresses the false detection due to small and un-modeled movements in the scene. The experimental results which are generated on three separate sequences indicate that this method is well suited for precise detection of moving objects in complex scenes and it can be efficiently used in various detection systems.

A Novel Risk Informatization Assessment System for In-Service Highway Slope Based on Network

Aiming at the information evaluation of traffic infrastructure in-service roadside slope risk assessment,the method of risk assessment for highway slope engineering is proposed by using the combination of quantitative and qualitative methods,and a new risk assessment method is proposed and improved.The system,in order to prevent the risks in slope engineering,serves the scientific decision-making of the maintenance,operation and management of the in-service road slopes.Based on the analysis of the special geological conditions,complex surrounding environment and construction schemes of existing highway slopes in China,this paper establishes an in-service slope evaluation model for in-service roads,and designs the scheme diagram of the in-service road slope evaluation system based on the networked Internet platform.Moreover,a set of in-service roadside slope risk assessment system software,the system component block diagram and the main design interface are given.This system can meet the needs of comprehensive evaluation of multi-factors in service road slopes.

A Knowledge Graph Based Approach to Social Science Surveys

Recent success of knowledge graphs has spurred interest in applying them in open science,such as on intelligent survey systems for scientists.However,efforts to understand the quality of candidate survey questions provided by these methods have been limited.Indeed,existing methods do not consider the type of on-the-fly content planning that is possible for face-to-face surveys and hence do not guarantee that selection of subsequent questions is based on response to previous questions in a survey.To address this limitation,we propose a dynamic and informative solution for an intelligent survey system that is based on knowledge graphs.To illustrate our proposal,we look into social science surveys,focusing on ordering the questions of a questionnaire component by their level of acceptance,along with conditional triggers that further customise participants’experience.Our main findings are:(i)evaluation of the proposed approach shows that the dynamic component can be beneficial in terms of lowering the number of questions asked per variable,thus allowing more informative data to be collected in a survey of equivalent length;and(ii)a primary advantage of the proposed approach is that it enables grouping of participants according to their responses,so that participants are not only served appropriate follow-up questions,but their responses to these questions may be analysed in the context of some initial categorisation.We believe that the proposed approach can easily be applied to other social science surveys based on grouping definitions in their contexts.The knowledge-graph-based intelligent survey approach proposed in our work allows online questionnaires to approach face-to-face interaction in their level of informativity and responsiveness,as well as duplicating certain advantages of interview-based data collection.