Mahutga M.C.,University of California at Riverside |
Ma X.,Chinese Academy of Governance |
Smith D.A.,University of Utah |
Timberlake M.,University of California at Irvine
Urban Studies | Year: 2010
This paper reports results from an analysis of the relationship between the structure of the city-to-city network of global airline passenger flows and the interstate world system. While many scholars suggest that the broader parameters of the world system structure the urban hierarchy embedded within or articulated to it, others argue that the urban hierarchy is decoupling from the world system. The analyses show that there has been some modest convergence in the distribution of power in the world city system. Moreover, they suggest that the mechanism for this convergence is the upward mobility of cities located in the semi-periphery and the east Asian region. The paper closes by considering the implication of these findings for a larger understanding of the relationship between globalisation, the structure of the world city system and its articulation with the world system. © 2010 Urban Studies Journal Limited.
Ma N.,Beijing Union University |
Fujita H.,Iwate Prefectural University |
Zhai Y.,Chinese Academy of Governance |
Wang S.,China Academy of science
Acta Polytechnica Hungarica | Year: 2015
Fuzzy cognitive maps (FCMs) have been widely employed in the dynamic simulation and analysis in the complex systems. While a novel classifier model based on FCMs (FCMCM) was proposed in our former work, the obvious bottleneck of the genetic leaning algorithm used in FCMCM is its irksome efficiency, in particular, low speed in cross over and mutation delay in global convergence. Moreover the lack of the necessary robustness of a single FCMCM limits its generalization. To this end, a quantum computation based ensemble method FCMCM_QC is proposed to address the scalability problem, which employs a novel evolutionary algorithm inspired by quantum computation. The FCMCM_QC effectively uses the concept and principle of quantum computation to facilitate the computational complexity of genetic optimization for the FCMCM and reasonably selects classifiers with better performance for efficient ensembles. The experimental studies demonstrate the quality of the proposed FCMCM_QC in generally used UCI datasets, and the simulation results prove that the FCMCM_QC does enhance the speed of the convergence with high efficiency and good quality. © 2015, Budapest Tech Polytechnical Institution. All rights reserved.
Liu M.,Chinese Academy of Governance |
Feng T.,Lanzhou University of Technology |
Smith P.,AIT Austrian Institute of Technology |
Hutchison D.,Lancaster University
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2013
Computer networks, widely used by enterprises and individuals nowadays, are still vulnerable when facing traffic injection, human mistakes, malicious attacks and other failures though we spend much more time and cost on security, dependability, performability, survivability, and risk assessment to make the network provide resilient services. This is because these measures are commonly viewed as closely related but a practical means of linking them is often not achieved. Network resilience research brings together all the planning that the network can be managed at a holistic view of resilience management. This paper focuses on network resilience management from "reactive" paradigm to a "proactive" one through Situational Awareness (SA) of internal factors of network and external ones of complex, dynamic and heterogeneous network environment. After surveying the research of network resilience and resilience assessment in the network, we give a model to discuss how to construct awareness of resilience issues which includes four stages. The first step is to get the situational elements about what we are interested in. Second, to understand what happened and what is going on in the networks, pattern learning and pattern matching are exploited to identify challenge. Then, to make proactive resilience management, we need to predict challenges and look for potential ones at this stage. At the fourth stage, resilience management can help take actions of remediation and recovery according to the policy of defender and attacker. After that, the two players' behaviors of defender and attacker are modeled in the same model by using Extended Generalized Stochastic Game Nets (EGSGN) which combines Game theory into Stochastic Petri Nets. Finally, we give a case study to show how to use EGSGN to depict the network resilience situation in the same model. © 2013 Springer-Verlag.
Wang Z.,Beijing Academy of Social science |
Xu Z.,Chinese Academy of Governance
International Journal of Information and Decision Sciences | Year: 2015
Based on the path dependence theory and path creation theory, the transformation path and mechanism from old urban industrial areas to smart city was studied by conducting a case study on Shijingshan District of Beijing. It is also hoped to contribute some useful experience for other old industrial areas' transformation endeavour. Copyright © 2015 Inderscience Enterprises Ltd.
Shao K.,University of Science and Technology Beijing |
Zhai Y.,Chinese Academy of Governance |
Sui H.,University of Science and Technology Beijing |
Zhang C.,Wenzhou University
ICIC Express Letters | Year: 2014
Class imbalance is a very common occurrence in data mining and knowledge discovery fields where the classes in a dataset are not equally represented. Learning models based on these datasets are often unpractical just as most machine learning algorithms tend to predict the samples in the minority classes as the majority one. To better address and solve this problem, we proposed quantum-inspired evolutionary algorithm for classification in imbalanced dataset (QEA-LFID). The QEA-LFID approach employs the quantum-inspired evolutionary mechanism for selecting samples from the majority classes to alleviate the imbalance problem. Furthermore, we proposed the sample quantum gene and a fitness function built on the prediction precision of the minority and majority classes as well as the classifiers. An extensive empirical investigation involving multiple real-world datasets is performed, and comparative results show that QEA-LFID has the faster convergence rate, the stronger global optimization ability and the shorter computing time as well as the perfect performance. © 2014 ISSN 1881-803X.
Ma X.,Chinese Academy of Governance |
Timberlake M.,University of Utah
Urban Studies | Year: 2013
The research constitutes the first effort to test the claim found in the world city theoretical literature that, as world cities strengthen ties with each other, their linkages with their countries' hinterlands and national urban systems will weaken. This research offers a more nuanced exploration of this hypothesis by taking into account variation in the nature of the state across countries in which world cities are located as well as the source of global capital in the world cities. Specifically, the research reported here suggests that three types of world cities-market-centred bourgeois world cities (MWC), state-centred political bureaucratic world cities (SWC) and dual-role world cities (DWC)-entail different deterritorialisation outcomes. Three countries that have prototypical global cities-Japan (SWC), China (DWC) and the US (MWC) are compared, applying longitudinal network modelling to relational data on national city networks. From 1993 to 2007, more globally connected MWCs weakened their national ties. In contrast, higher global status has no significant effect on the integration of SWCs or DWCs with their national urban systems. This indicates that the type of state, but not the source of capital, conditions whether the world city will deterritorialise vis-à-vis its national city system. © 2012 Urban Studies Journal Limited.
Shang H.,Lanzhou University |
Yin Y.,Chinese Academy of Governance
Lecture Notes in Electrical Engineering | Year: 2013
We first reviewed all Chinese local government performance evaluation forms to find that there came across a deadlock in the practice of evaluation. We discovered because the present performance evaluation cannot deal with the quality and quantity, certainty and uncertainty well, they have caused some deadlocks. In order to get out of the deadlocks, we use data mining as a tool to establish the government performance evaluation datahouses based on indicator data market, capacity data market, local resource data market, etc. Eventually, we solve the problems by mining the evaluation data and mining the related data on the basis of the datahouses. © 2013 Springer Science+Business Media.
Wang J.,University of Science and Technology Beijing |
Deng Y.,Chinese Academy of Governance |
Gao Y.,University of Science and Technology Beijing
Proceedings - 2013 4th International Conference on Digital Manufacturing and Automation, ICDMA 2013 | Year: 2013
Emergency evacuation is an important means to reduce casualties in coping with emergencies. Before issuing evacuation orders, forecasting the population size is the basis of all the evacuation plans. In previous studies, researchers usually use resident population or a fixed value instead of the population size of evacuation, without considering the diversity of the number of evacuees at different times. Based on a statistical analysis of the number of people going in and out at school accommodation area, according to the changing rule of the number of evacuees at different times, this paper presents a method using conversion factors to calculate the number of evacuees in a specific area, and verifies differences in gender and education also can cause the fluctuations of the number, which provides methodological guidance for forecasting the population size in emergency evacuation. © 2013 IEEE.
Du H.,University of Science and Technology of China |
Du H.,Chinese Academy of Governance |
Li J.,University of Science and Technology of China |
Lei L.,University of Science and Technology of China
RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao | Year: 2016
Data mining technology is the use of a variety of analysis methods, dig out the inherent knowledge from the massive database. Combining normative analysis and empirical analysis, the paper selects 359 Chinese manufacturing listed companies as the research object. Firstly, through a lot of literature reading and sorting, there are 27 major influence factors of internal control quality and 30 major influence factors of investment efficiency, including company characteristics, corporate governance, agency cost, the quality of the accounting information and financing constraints sides. Secondly, it selects key influencing factors with SPSS17.0 multivariate regression method. Thirdly, the key influencing factors are used as observation index by AMOS17.0 to establish a structure model of them and get the results that internal control quality not only has a direct but also has an indirect by financing constraints on investment efficiency. In the end, it puts forward suggestions for the improvement of investment efficiency according to the results.
Gai W.-M.,University of Science and Technology Beijing |
Gai W.-M.,Chinese Academy of Governance |
Deng Y.-F.,Chinese Academy of Governance |
Du Y.,University of Science and Technology Beijing
Industrial and Engineering Chemistry Research | Year: 2016
In coal mine safety, providing and maintaining a safe closed environment and reducing the casualties of coal mine disasters are a long-term challenges. A novel and modified soda lime with higher adsorption rate and capacity was developed through analyzing the reaction mechanism and adsorption factors. The best combinations of soda lime with different mass fraction is additives 6%, H2O 12%, and NAOH 6%, while the best working modes is 25 W fan power, 8 cm thickness, and S-5 soda lime according to the multi-index orthogonal experiment. The order of influence for CO2 adsorption rate of different compositions (mass fraction) is NaOH > H2O > Al2O3, and the order of influence in different working modes is fan power > thickness > the type of soda lime. Through the optimization design, the novel soda lime is easy to form without binding together in the process of adsorption for CO2 and the dust outflow reduced by about 50%. The adsorption rate still remain at a high level in a high temperature and high humidity environment (humidity 70% and temperature 30 °C). It was demonstrated that the adsorption capacity increased by 28%, the adsorption rate increased by 32.2%, and the power consumption reduced by 33.3%. © 2016 American Chemical Society.