A systematic strategy for harnessing financial information systems in fighting corruption electronically

Knowledge Management (KM) is one of the hottest topics in both of the industrialized world and information research world. In our daily life, we deal with the most related systems, which were Financial Information Systems (FIS).These systems have closely linked with all aspects of administrative organizations.As a result of this link, the KM has contributed in developing FIS as attempts to harness it as part of anti-corruption strategies.This research aims to propose a systematic strategy for harnessing FIS in fighting corruption electronically.This proposed strategy demonstrates a general perceptive during the designing and implementing phases.The research has employed a repetitive design methodology, which comprises an extensive literature review, content and website analysis.Initially, the approach explores the key concepts of FIS, corruption strategies, and the popular approaches employed to minimize corruption.Cumulatively the systematic strategy has been proposed for enabling the FIS to minimize corruption.This research suggests that the FIS should be employed heavily in the process of minimizing corruption

PICES Press, Vol. 11, No. 2, July 2003

Cover [pdf, 1.2 Mb] PICES Science Board and Governing Council hold their first joint meeting [pp. 1-3] [pdf, 0.2 Mb] 3rd International Zooplankton Production Symposium [pp. 4-7] [pdf, 0.6 Mb] The state of the eastern North Pacific entering spring 2003 [pp. 8-9] [pdf, 0.4 Mb] The state of the western North Pacific in 2002 [pp. 10-13] [pdf, 0.6 Mb] The Bering Sea: Current status and recent events [pp. 14-15] [pdf. 0.7 Mb] Patricia Livingston [pp. 16-19] [pdf. 0.5 Mb] Recent changes in the abundance of northern anchovy (Engraulis mordax) off the Pacific Northwest, tracking a regime shift? [pp. 20-21] [pdf. 0.6 Mb] Developing new scientific programs in PICES [pp. 22-26] [pdf. 0.2 Mb] Report of the Yokohama 2003 MODEL Task Team Workshop to develop a marine ecosystem model of the North Pacific Ocean including pelagic fishes [pp. 27-29] [pdf. 0.5 Mb] 3rd PICES Workshop on the Okhotsk Sea and adjacent Areas [pp.30-31] [pdf. 0.4 Mb] Recent oceanographic and marine environmental studies at FERHRI [pp.32-34] [pdf. 0.4 Mb] Symposium Announcement [p. 35] [pdf. 0.3 Mb] PICES announcements [p. 36] [pdf. 0.3 Mb

Federated Embedded Systems – a review of the literature in related fields

This report is concerned with the vision of smart interconnected objects, a vision that has attracted much attention lately. In this paper, embedded, interconnected, open, and heterogeneous control systems are in focus, formally referred to as Federated Embedded Systems. To place FES into a context, a review of some related research directions is presented. This review includes such concepts as systems of systems, cyber-physical systems, ubiquitous computing, internet of things, and multi-agent systems. Interestingly, the reviewed fields seem to overlap with each other in an increasing number of ways

A BIM-based Approach for Predictive Safety Planning in the Construction Industry

The number of safety incidents in the construction industry is higher than that in most of the other industries. These safety incidents can be attributed to a lack of information and training. The new line of thinking in management has been moving toward predictive decision-making methods with the aid of artificial intelligence (AI). In this regard, the construction industry has been lagging on embracing modern management concepts. Hence, it is vital to re-engineer construction management to be on par with industries such as manufacturing. Building Information Modelling (BIM) can be recognized as the most promising technology that is introduced to the construction sector in the recent past. The information contained in a BIM model can be manipulated to aid construction safety management. This research presents BIM-based methods for predictive safety planning in the construction industry. At first, a comprehensive review of construction management challenges was conducted. This review revealed that although there are some studies regarding BIM-based predictive decision-making, still some knowledge gaps can be mentioned in the safety management of construction workers and building residents. To address the mentioned challenges, at first, this study integrates BIM with fuzzy logic to improve predictive safety planning to reduce the safety incidents in the construction projects. A Fuzzy Inference System (FIS) was developed based on the causality of safety incidents. The FIS extracts construction project data from BIM models while automatically assessing the risk of each potential hazard and also the total risk of a project. The proposed method enables construction managers to prevent construction incidents and enhance the health and safety of construction workers. Furthermore, this study develops a methodological framework for rule checking and the safety-focused ruleset for BIM-enabled building construction projects in Ontario, Canada. Identified safety standards were defined in Solibri Model checker software as a ruleset. The outcomes of this section will ensure the occupant’s safety through a proper design. Moreover, the findings of this will support promoting BIM in the Canadian construction industry

Moving To The Cloud: Transitioning From Client-Server To Service Architecture

This paper makes the case that the traditional three-tier client-server architecture requires a major overhaul to address the changing and rapidly increasing information processing and services needs of consumers. Revisions to the conventional architecture model are suggested and two examples of information systems applications are discussed to illustrate how the new information service architecture fits into the realm of future systems development

Floodplain Management Desk Reference, May 2014

The responsibility for reducing flood losses is shared by all levels of government (local, State, and Federal) and the private sector. Successfully fulfilling this responsibility depends on having the knowledge and skills to plan and implement needed floodplain management measures. This Floodplain Management Desk Reference provides the information and lists of additional resources that can be used to effectively administer a local floodplain management program

Newly available technologies present expanding opportunities for scientific and technical information exchange

The potential for expanded communication among researchers, scholars, and students is supported by growth in the capabilities for electronic communication as well as expanding access to various forms of electronic interchange and computing capabilities. Research supported by the National Aeronautics and Space Administration points to a future where workstations with audio and video monitors and screen-sharing protocols are used to support collaborations with colleagues located throughout the world. Instruments and sensors all over the world will produce data streams that will be brought together and analyzed to produce new findings, which in turn can be distributed electronically. New forms of electronic journals will emerge and provide opportunities for researchers and scientists to electronically and interactively exchange information in a wide range of structures and formats. Ultimately, the wide-scale use of these technologies in the dissemination of research results and the stimulation of collegial dialogue will change the way we represent and express our knowledge of the world. A new paradigm will evolve-perhaps a truly worldwide 'invisible college'

The development of a fuzzy expert system to help top decision makers in political and investment domains

This thesis was submitted for the degree of Doctor of Philosophy and was awarded by Brunel UniversityThe world’s increasing interconnectedness and the recent increase in the number of notable regional and international events pose greater and greater challenges for political decision-making, especially the decision to strengthen bilateral economic relationships between friendly nations. Typically, such critical decisions are influenced by certain factors and variables that are based on heterogeneous and vague information that exists in different domains. A serious problem that the decision-maker faces is the difficulty in building efficient political decision support systems (DSS) with heterogeneous factors. One must take many factors into account, for example, language (natural or human language), the availability, or lack thereof, of precise data (vague information), and possible consequences (rule conclusions). The basic concept is a linguistic variable whose values are words rather than numbers and are therefore closer to human intuition. A common language is thus needed to describe such information which requires human knowledge for interpretation. To achieve robustness and efficiency of interpretation, we need to apply a method that can be used to generate high-level knowledge and information integration. Fuzzy logic is based on natural language and is tolerant of imprecise data. Fuzzy logic’s greatest strength lies in its ability to handle imprecise data, and it is perfectly suited for this situation. In this thesis, we propose to use ontology to integrate the scattered information resources from the political and investment domains. The process started with understanding each concept and extracting key ideas and relationships between sets of information by constructing object paradigm ontology. Re-engineering according to the object-paradigm (OP) provided quality for the developed ontology where conceptualization can provide more expressive, reusable object and temporal ontology. Then fuzzy logic has been integrated with ontology. And a fuzzy ontology membership value that reflects the strength of an inter-concept relationship to represent pairs of concepts across ontology has been consistently used. Each concept is assigned a fixed numerical value representing the concept consistency. Concept consistency is computed as a function of strength of all the relationships associated with the concept. Fuzzy expert systems enable one to weigh the consequences (rule conclusions) of certain choices based on vague information. Rule conclusions follow from rules composed of two parts, the if antecedent (input) and the then consequent (output). With fuzzy expert systems, one uses fuzzy logic toolbox graphical user interface (GUI) tools to build up a fuzzy inference system (FIS) to aid in decision-making. This research includes four main phases to develop a prototype architecture for an intelligent DSS that can help top political decision makers