Huang Y.,College of Public Administration |
Bor Y.J.,Chinese Culture University |
Peng C.-Y.,Taoyuan District Court
Energy Policy | Year: 2011
The long-term forecasting of energy supply and demand is an extremely important topic of fundamental research in Taiwan due to Taiwan's lack of natural resources, dependence on energy imports, and the nation's pursuit of sustainable development. In this article, we provide an overview of energy supply and demand in Taiwan, and a summary of the historical evolution and current status of its energy policies, as background to a description of the preparation and application of a Long-range Energy Alternatives Planning System (LEAP) model of Taiwan's energy sector. The Taiwan LEAP model is used to compare future energy demand and supply patterns, as well as greenhouse gas emissions, for several alternative scenarios of energy policy and energy sector evolution. Results of scenarios featuring "business-as-usual" policies, aggressive energy-efficiency improvement policies, and on-schedule retirement of Taiwan's three existing nuclear plants are provided and compared, along with sensitivity cases exploring the impacts of lower economic growth assumptions. A concluding section provides an interpretation of the implications of model results for future energy and climate policies in Taiwan. © 2010 Elsevier Ltd.
Agency: European Commission | Branch: H2020 | Program: IA | Phase: FCT-06-2015 | Award Amount: 5.62M | Year: 2016
Law Enforcement Agencies (LEAs) across Europe face today important challenges in how they identify, gather and interpret terrorist generated content online. The Dark Web presents additional challenges due to its inaccessibility and the fact that undetected material can contribute to the advancement of terrorist violence and radicalisation. LEAs also face the challenge of extracting and summarising meaningful and relevant content hidden in huge amounts of online data to inform their resource deployment and investigations. In this context, the main objective of the TENSOR project is to provide a powerful terrorism intelligence platform offering LEAs fast and reliable planning and prevention functionalities for the early detection of terrorist organised activities, radicalisation and recruitment. The platform integrates a set of automated and semi-automated tools for efficient and effective searching, crawling, monitoring and gathering online terrorist-generated content from the Surface and the Dark Web; Internet penetration through intelligent dialogue-empowered bots; Information extraction from multimedia (e.g., video, images, audio) and multilingual content; Content categorisation, filtering and analysis; Real-time relevant content summarisation and visualisation; Creation of automated audit trails; Privacy-by-design and data protection. The project brings together industry, LEAs, legal experts and research institutions. It is expected that this collaboration will have significant impact on 1) ensuring the final system meets end-user LEA requirements, 2) enabling LEAs to access and examine terrorist generated content online bringing significant advantages to their operational capability, and 3) promoting industrys enhanced understanding of operational LEA requirements and their market competitiveness in the field of online organised crime, terrorism and harmful-radicalisation.
Agency: European Commission | Branch: FP7 | Program: CP-FP | Phase: SEC-2012.6.3-1 | Award Amount: 5.30M | Year: 2013
Organized crime is becoming more diverse in its activities and methods including greater levels of collaboration between criminal groups, greater mobility in and around the EU, a diversification of illicit activity, and a growing dependence on a dynamic infrastructure, anchored in key locations and facilitated by widespread use of the Internet (the Director of Europol, in his foreword to the OCTA 2011 report). An important means for law enforcement in combatting such crime is strategic early warning which is heavily depending on an efficient and effective environmental scanning. Fro this, the e-POOLICE project willin close collaboration with law enforcement partners, as well as criminological and legal expertsdevelop a prototype of an environmental scanning system implementing solutions applying the most promising technological advances and breakthroughs as provided by the RTD partners. The solutions will be tested an evaluated through running realistic use case scenarios that are developed by our user partners. Central to the solution is development of an environmental knowledge repository of all relevant information and knowledge, including scanned information and derived, learned or hypothesized knowledge, as well as the metadata needed for credibility and confidence assessment, traceability, and privacy protection management. For effective and efficient utilization, as well as for interoperability, the repository will apply a standard representation form for all information and knowledge. For effective and efficient scanning of the raw information sources, the project will develop an intelligent environmental radar that will utilize the knowledge repository for focusing the scanning. A key part of this process is semantic filtering for identification of data items that constitutes weak signals of emerging organized crime threats, exploiting fully the concept of crime hubs, crime indicators, and facilitating factors, as understood by our user partners.
Agency: European Commission | Branch: H2020 | Program: IA | Phase: FCT-04-2015 | Award Amount: 3.80M | Year: 2016
The Internet has become a key piece of any business activity. Criminal activity is not an exception. Some crimes previous to the Internet, such as thefts and scams, have found in the Internet the perfect tool for developing their activities. The Internet allows criminals hiding their real identity and the possibility to purchase specific tools for stealing sensitive data with a very low investment. The overall objective of RAMSES is to design and develop a holistic, intelligent, scalable and modular platform for Law Enforcement Agencies (LEAs) to facilitate digital Forensic Investigations. The system will extract, analyse, link and interpret information extracted from Internet related with financially-motivated malware. Customers, developers and malware victims will be included in order to obtain a better understanding of how and where malware is spread and to get to the source of the threat. To achieve these ambitious objectives, this project will rely on disruptive Big Data technologies to firstly extract and storage, and secondly look for patterns of fraudulent behaviour in enormous amounts of unstructured and structured data. We will focus on 2 case studies: ransomware and banking Trojans. In order to this, RAMSES brings together the latest technologies to develop an intelligent software platform, combining scraping of public and deep web, detecting manipulation and steganalysis for images and videos, tracking malware payments, extraction and analysis of malware samples and Big Data analysis and visualizations tools. Validation pilots will take place in three different EU countries (Portugal, Belgium and Spain) being the first a mono-LEA pilot in each site and the second a collaborative investigation pilot between several LEAs. Commercial potential will be validated during the project supported by a feasibility study to assess determinants for the adoption of the platform and appropriate business models.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: FCT-14-2014 | Award Amount: 4.54M | Year: 2015
The Unity vision is to strengthen the connection between the police and the diverse communities they serve to maximise the safety and security of all citizens. The end-user focus of Unity shall identify best practices in Community Policing (CP) through primary and secondary research to enhance cooperation between Law Enforcement Agencies (LEAs) and citizens through the development and live pilot demonstrations of technological tools in six EU member states that facilitate, strengthen and accelerate community and LEAs communications. These tools shall be amplified and supported by the design and delivery of CP training and awareness raising activities to LEAs, citizens and community partners, including online virtual communities. Unity will provide LEAs with a new CP model and shared framework of governance and enabling tools and technology to support closer cooperation for greater, more effective and efficient and more inclusive CP. The citizen-centred approach of Unity support the combined protection, safety, security and well-being of communities, but it will also support a more collective, shared ownership of large scale, collective risk. Coordinated by pioneers and practitioners in CP, Unity seeks new ways of working in which the police will serve as a catalyst for change within communities, helping the latter to become an integral part of the solution, and thereby sharing the ownership and delivery of a sustainable CP model which simultaneously embraces the benefits of technology while meeting diverse community needs. This new and sustainable citizen-centred CP model will have community trust and confidence at its heart, with the ability for two-way flows of information and communication to allow for greater understanding of the problems and issues faced by communities. By working with citizens and community stakeholders to arrive at a full understanding of their concerns, targeted interventions and solutions can be agreed to keep local communities safe
Gou Q.W.,College of Public Administration
Advanced Materials Research | Year: 2013
Starting with the illogical reality that with the improvement of corporate environmental management, the nature environment is getting worse, we empirically studied the relationship between environmental management and corporate financial performance. We choose the listed companies that published social, environmental or sustainable reports during 2010 and 2011 as a study sample. The Spearman correlation was used in SPSS 20. Through content analysis, we found that symbolic approach will benefit the CFP, while substantive approach did not show significant effect. © (2013) Trans Tech Publications, Switzerland.
Bor Y.J.,Chinese Culture University |
Huang Y.,College of Public Administration
Energy Policy | Year: 2010
Faced with pressure from greenhouse gas reductions and energy price hikes, the Taiwan government is in the process of developing an energy tax regime to reflect environmental external costs and effectively curb energy consumption, as well as mitigate CO2 emissions through an adequate pricing system. This study utilizes a CGE model to simulate and analyze the economic impacts of the draft Energy Tax Bill and its complementary fiscal measures. Under the assumption of tax revenue neutrality, the use of energy tax revenue generated for the purpose of reducing income tax is the best choice with double dividend effects since it will effectively stimulate domestic consumption and investment, and, consequently, mitigate the negative impacts of the distortionary tax regime. The double dividend effect is less significant, however, when the supplementary measures being used are for government expenditure. Nevertheless, all supplementary measures have effectively reduced energy consumption, which means they have delivered at least the first dividend-in the sense of CO2 emissions control. It has been verified in this study that having adequate public-finance policy measures is the key to realizing the double dividend effect. © 2009 Elsevier Ltd. All rights reserved.
Tan R.,College of Public Administration |
Zhou T.,College of Public Administration
Land Use Policy | Year: 2015
The present paper describes a project-based governance approach for public goods provision in the domain of land administration, which is a new decentralized structure within the traditional centralized system in China. Project-based governance represents a new relationship between the central and local governments that aims to cooperatively provide land-related services for public interest projects. The top-down project allocation from the central government and the bottom-up project packaging by local governments together successfully improve the incentives of the local governments and, therefore, achieve the central government's aim of providing public goods and fostering economic development. We use Fujian Province of China as an example to show the operational process of the project-based governance approach, and we discuss in detail the features and potential effects of the new governance system. The paper may provide new evidence for governance innovation regarding decentralization in a traditionally centralized system. © 2015 Elsevier Ltd.
Qiu K.,College of Public Administration
Energy Procedia | Year: 2011
Low-carbon economy is an economic development model based on low energy consumption and low pollution and low emission, the development of low-carbon economy has caused extensive concern of the international community. Higher school undertakes the talent training, technology innovation and social service function of importance. Facing the requirement of the low carbon economic development, universities must strengthen technical innovation system and improve levels of innovation and service ability. This article put forward some suggestions on the better effect of university of science and technology innovation system. © 2011 Published by Elsevier Ltd.
Li T.,College of Public Administration |
Lin G.,College of Public Administration
Health and Place | Year: 2014
This study examined the association between ozone and fine particulate (PM2.5) exposure and asthma risk by place of residence. We linked 412,832 adult respondents from the 2009 U.S. Behavioral Risk Factor Surveillance System to their residence counties. Observed and interpolated ozone and PM2.5 concentration data from 2006 to 2009 were used as exposures. We linked self-reported current asthma status and other individual risk factors to county-level risk factors in multilevel logistic regressions. Results indicated spatially varied asthma risks and spatially varied associations between ambient air pollution and asthma risk. Residents in counties not located within a metropolitan statistical area (MSA) and in inner ring suburbs had a relatively higher asthma risk. Positive ozone-asthma associations were detected across all spatial settings, while positive PM2.5-asthma associations were detected only in central cities of an MSA and in outer ring suburbs, indicating that residence location modified the relationship between ambient air pollution and asthma risk. © 2013 Elsevier Ltd.