Jiangsu Police Institute

Nanjing, China

Jiangsu Police Institute

Nanjing, China

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Zhang L.,Jiangsu Police Institute | Wu B.-Y.,Xiamen University
Environment, Energy and Sustainable Development - Proceedings of the 2013 International Conference on Frontier of Energy and Environment Engineering, ICFEEE 2013 | Year: 2014

As an emerging industry, tourism industry's development has formed a certain scale in China; the impact on China's economic growth has become increasingly stronger. In this paper, we use the macro-economic data from 1999 to 2008 to make an empirical test on the effect of tourism industry on economic growth in central China by Cobb-Douglas production function and panel data model. The basic conclusion is: from the analysis of fixed effects model, tourism industry drives economic growth not only through its own direct income effect, but more importantly, because of its association with the industry, it expands economic growth effects through the multiplier effect, and give a strong impetus to the six provinces in central China which have rich tourism resources. © 2014 Taylor & Francis Group, London.


Yang Y.,Hohai University | Yang L.,Zhejiang Institute of Hydrogeology and Engineering Geology | Cai D.,Jiangsu Police Institute
Proceedings - International Conference on Natural Computation | Year: 2016

The optimal design of groundwater remediation systems are often subject to uncertain hydrogeological parameters and multiple uncertain objectives, involving minimization of remediation cost, and minimization of contaminant mass remaining in the aquifer. To design a robust and reliable groundwater remediation system, the stochastic simulations (Monte Carlo simulation) with multiple realizations of uncertain parameters, which are generated by Sequential Gaussian Simulation (SGSIM), are applied to tackle the uncertainty analysis of an synthetic remediation site. In the present study, we propose a probabilistic multi-objective evolutionary algorithm, named probabilistic improved niched Pareto genetic algorithm (PINPGA). PINPGA was improved by using stochastic simulation for objection function evaluations and incorporating probabilistic Pareto ranking and niche technique into INPGA for multi-objective selection operator. The proposed algorithm is then applied to the synthetic groundwater remediation test case. The performances of the methodology generating the reliability of the Pareto-optimal solution are assessed and compared using Monte Carlo analysis. The optimization results indicate that using such an uncertainty-based multi-objective optimization scheme can give reliable solution to groundwater remediation design, giving decision makers a practical and robust optimization tool. © 2015 IEEE.


Dong X.,Hohai University | Dong X.,Jiangsu Police Institute
WIT Transactions on Information and Communication Technologies | Year: 2014

Low-carbon supplier selection and evaluation are a complex multiobjective decision making. As a number of indicators' value is fuzzy, uncertain, random even unknown, decision-makers are difficult to give accurate assessment of the information. The article constructs a model of low-carbon Supplier selection and evaluation through the evidential reasoning (ER).Then, the basic probability distribution function involving the index weights is deduced to integrate all the indicators together by ER algorithm, thus gives a comprehensive evaluation and the preferred ranking to the low-carbon supplier problem. Finally, an example is given to verify the effectiveness and practicality of the proposed method. © 2014 WIT Press.


Zhou G.,Jiangsu Police Institute | Chen L.,PLA Bengbu Automobile NCO Academy
Jiefangjun Ligong Daxue Xuebao/Journal of PLA University of Science and Technology (Natural Science Edition) | Year: 2016

To solve the problem of the maximum probability of path satisfying a certain time limit, an improved ant colony algorithm was proposed based on establishing the mathematical model of the problem. Firstly, on the basis of the definition of stochastic network, the model of the maximum probability path problem in the stochastic network was established. Then, according to the characteristics of the maximum probability path problem of stochastic networks, a new ant colony algorithm based on the new heuristic information and pheromone updating rule was designed. The improved ant colony algorithm and a hybrid genetic algorithm were compared on 4 sets of data, and then the corresponding global maximum probability path and a number of data to reflect the overall performance of the algorithm were obtained respectively. According to the experimental result, the convergence speed and the global performance of the improved ant colony algorithm are better than that of the hybrid genetic algorithm. It provides a feasible and fast method for solving the maximum probability path problem of stochastic networks. © 2016, Magazine Office of PLA University of Science and Technology. All right reserved.


Cai D.,Jiangsu Police Institute | Chen Y.M.,Nanjing University | Gao C.,Key Laboratory of Geographic Information Technology of Public Security Ministry
Communications in Computer and Information Science | Year: 2016

Geo-Informatic Tupu is a complex spatio-temporal analysis method. Its detailed, simple image analysis and expression ways can be better meet the crime spatio-temporal analysis needs. This paper summarizes the research background and current situation of crime spatio-temporal analysis, and discusses the significance and content of this research. And also this paper puts forward own ideas about research ways, which is in order to provide a new method for method references and decision supports in the crime spatio-temporal analysis practices. © Springer-Verlag Berlin Heidelberg 2016.


Zhang J.,Jiangsu Police Institute | Wang Y.,Nanjing University of Science and Technology
Nanjing Li Gong Daxue Xuebao/Journal of Nanjing University of Science and Technology | Year: 2014

To solve the problem that traditional database management technology can't manage uncertain data efficiently, a multidimensional array B-tree(MB-tree) is designed here. The MB-tree is a graph data structure based on Bayesian network. Bayesian network is used as a probabilistic graphical model to solve the storage and query problem of uncertain data. Mass multidimensional sensor data is modeled and responds to query. The predictability and relevance of multidimensional data structure are proved. The performance of the MB-tree is tested using real data sets and synthetic data sets. The coding accuracy of the MB-tree with potential co-distribution is verified. The query efficiency of the MB-tree is about 4 times as fast as those of alike graphical models. ©, 2014, Nanjing University of Science and Technology. All right reserved.


Cai D.,Jiangsu Police Institute | Chen Y.M.,Nanjing University
Applied Mechanics and Materials | Year: 2013

Research on rural-urban construction land expansion is on the macro perspective at home and abroad. However there is less research on detail characteristics and internal mutation of rural-urban construction land expansion, so that the accurate spatial distribution of rural-urban construction land may not be realized. In this paper, Tonglu County of Zhejiang Province is selected as study area. The spatial characteristic in micro level of rural-urban construction land is analyzed based on the spatial residual distribution of geographically weighted regression model. Residual of the model is used to describe the difference between actuality value and simulation value. Original residual of the model is standardized, which describes the hot spots and cold spots for development of rural-urban construction land. This research will support the micro decision-making of rural-urban construction land both in technology and decision, and guarantee the healthy development of rural-urban construction land with rational distribution. © (2013) Trans Tech Publications, Switzerland.


Cai D.,Jiangsu Police Institute | Gao C.,Key Laboratory of Geographic Information Technology of Public Security Ministry
Applied Mechanics and Materials | Year: 2014

The Urban Emergency System aims to integrate the emergency response departments, such as police security, fire control, first aid, and traffic police and so on, to conduct the disaster rescue jointly under the command of the municipality. This paper designs the business flow, database, and functional module of the Urban Emergency System Based on 3S spatial information technology. © (2014) Trans Tech Publications, Switzerland.


Zhang L.,Jiangsu Police Institute
Green Building, Materials and Civil Engineering - Proceedings of the 4th International Conference on GreenBuilding, Materials and Civil Engineering, GBMCE 2014 | Year: 2015

Based on the panel data from 2000 to 2011 of 41 developing countries, this paper discusses the influence factors of income payment in sub-project of current account perspective. It find that the per capita GDP, foreign direct investment, the profit from foreign direct investment, employee compensation and carbon emissions have significantly positive correlation to income payment, while the power consumption amount and population density on the significant negative correlation relationship. The paper also analyses the residual graph from cross section. © 2015 Taylor & Francis Group, London.


Gong P.F.,Jiangsu Police Institute
Material Science and Environmental Engineering - Proceedings of the 3rd annual 2015 International Conference on Material Science and Environmental Engineering, ICMSEE 2015 | Year: 2016

In order to overcome the negative effect on the urban road traffic system effectively, it is necessary to determine the urban road traffic early warning level and take some appropriate emergency management measures when adverse weather occurs in urban area. Based on the traffic impact analysis of urban road traffic system in adverse weather conditions, this paper presents a four-level urban road traffic early warning classification method in accordance with the early warning level of the adverse weather and its temporal-spatial distribution characteristics. The classification method refers to the risk matrix, which is a kind of popular evaluation method in the emergency management field because of its simplicity and adaptability. The present work may be very useful for decision-makers and practitioners trying to determine the urban road traffic early warning levels in adverse weather conditions. © 2016 Taylor and Francis Group, London.

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