A survey of simulation techniques in commerce and defence

Despite the developments in Modelling and Simulation (M&S) tools and techniques over the past years, there has been a gap in the M&S research and practice in healthcare on developing a toolkit to assist the modellers and simulation practitioners with selecting an appropriate set of techniques. This study is a preliminary step towards this goal. This paper presents some results from a systematic literature survey on applications of M&S in the commerce and defence domains that could inspire some improvements in the healthcare. Interim results show that in the commercial sector Discrete-Event Simulation (DES) has been the most widely used technique with System Dynamics (SD) in second place. However in the defence sector, SD has gained relatively more attention. SD has been found quite useful for qualitative and soft factors analysis. From both the surveys it becomes clear that there is a growing trend towards using hybrid M&S approaches

Intelligent Decision Support Capabilities for a Law Enforcement GIS

Most GIS systems process huge amounts of data but lack the capability to produce useful knowledge and actionable information. Unless GIS information generates a Bayesian update (a surprise or information that decision makers cannot anticipate), this GIS remains weak and a simple storage of dead data. Furthermore, even if this GIS stores valuable data, it still remains weak if it lacks the ability to generate the decision support that users need. This work in progress aims at adding decision support capabilities to a standard law enforcement GIS in terms of two main features: 1) visual decision support at the functional management and control levels in remote locations of police stations protecting their urban zones, and 2) evidence-based decision support at the strategic management level in the police department protecting the conurbation constituting the urban zones under its jurisdiction. The visual decision aids employ dynamic choropleth maps that are revised on a monthly basis. The evidence-based decision process is provided using Dempster and Shafer theory. While some of the tools are primarily used by police departments to devise effective policing strategies, police chiefs supervising the police stations can also locally benefit from adopting them. This study provides a numerical example to demonstrate the working of the proposed decision aids

Law and Finance

This paper examines legal rules covering protection of corporate shareholders and creditors, the origin of these rules, and the quality of their enforcement in 49 countries. The results show that common law countries generally have the best, and French civil law countries the worst, legal protections of investors, with German and Scandinavian civil law countries located in the middle. We also find that concentration of ownership of shares in the largest public companies is negatively related to investor protections, consistent with the hypothesis that small, diversified shareholders are unlikely to be important in countries that fail to protect their rights.

Big data analytics:Computational intelligence techniques and application areas

Big Data has significant impact in developing functional smart cities and supporting modern societies. In this paper, we investigate the importance of Big Data in modern life and economy, and discuss challenges arising from Big Data utilization. Different computational intelligence techniques have been considered as tools for Big Data analytics. We also explore the powerful combination of Big Data and Computational Intelligence (CI) and identify a number of areas, where novel applications in real world smart city problems can be developed by utilizing these powerful tools and techniques. We present a case study for intelligent transportation in the context of a smart city, and a novel data modelling methodology based on a biologically inspired universal generative modelling approach called Hierarchical Spatial-Temporal State Machine (HSTSM). We further discuss various implications of policy, protection, valuation and commercialization related to Big Data, its applications and deployment

Border Security: Understanding Threats at U.S. Borders

[Excerpt] The United States confronts a wide array of threats at U.S. borders, ranging from terrorists who may have weapons of mass destruction, to transnational criminals smuggling drugs or counterfeit goods, to unauthorized migrants intending to live and work in the United States. Given this diversity of threats, how may Congress and the Department of Homeland Security (DHS) set border security priorities and allocate scarce enforcement resources? In general, DHS’s answer to this question is organized around risk management, a process that involves risk assessment and the allocation of resources based on a cost-benefit analysis. This report focuses on the first part of this process by identifying border threats and describing a framework for understanding risks at U.S. borders. DHS employs models to classify threats as relatively high- or low-risk for certain planning and budgeting exercises and to implement certain border security programs. Members of Congress may wish to use similar models to evaluate the costs and benefits of potential border security policies and to allocate border enforcement resources. This report discusses some of the issues involved in modeling border-related threats

Trafficking in Persons: U.S. Policy and Issues for Congress

[Excerpt] This report focuses on international and domestic human trafficking and U.S. policy responses, with particular emphasis on the TVPA and its subsequent reauthorizations. The report begins with a description of key TIP-related definitions and an overview of the human trafficking problem. It follows with an overview of major foreign policy responses to international human trafficking. The report then focuses on responses to trafficking into and within the United States, examining relief for trafficking victims in the United States and discussing U.S. law enforcement efforts to combat domestic trafficking. The report concludes with an overview of current anti-trafficking legislation and an analysis of policy issues