MapServer in GIS application

Geographical Information Systems (GIS) represent one of the fastest growing segments of the nowadays technology. The system was initially employed to help travelers in new place to find wayto go to another, to ease them in making decision in selecting location and to disseminate information regarding exact location selected. This project aims to generate an online map for Klang Valley area by using MapServer which canrepresent information from in that area. The development begins with investigation, then problem identifying, follow with the cycle of design, prototyping and implementation because of methodology practice in rapid application development. The proposed system captures the Klang Valley area, making it available for new comers to the city in getting information in Klang Valley. Furthermore, Klang Valley online map has been considered as the open source technology in GIS application by using MapServer. Experiments were conducted in ensuring the accessibility and capability of the application in responding query from user

Sharing and viewing segments of electronic patient records service (SVSEPRS) using multidimensional database model

This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.The concentration on healthcare information technology has never been determined than it is today. This awareness arises from the efforts to accomplish the extreme utilization of Electronic Health Record (EHR). Due to the greater mobility of the population, EHR will be constructed and continuously updated from the contribution of one or many EPRs that are created and stored at different healthcare locations such as acute Hospitals, community services, Mental Health and Social Services. The challenge is to provide healthcare professionals, remotely among heterogeneous interoperable systems, with a complete view of the selective relevant and vital EPRs fragments of each patient during their care. Obtaining extensive EPRs at the point of delivery, together with ability to search for and view vital, valuable, accurate and relevant EPRs fragments can be still challenging. It is needed to reduce redundancy, enhance the quality of medical decision making, decrease the time needed to navigate through very high number of EPRs, which consequently promote the workflow and ease the extra work needed by clinicians. These demands was evaluated through introducing a system model named SVSEPRS (Searching and Viewing Segments of Electronic Patient Records Service) to enable healthcare providers supply high quality and more efficient services, redundant clinical diagnostic tests. Also inappropriate medical decision making process should be avoided via allowing all patients‟ previous clinical tests and healthcare information to be shared between various healthcare organizations. Multidimensional data model, which lie at the core of On-Line Analytical Processing (OLAP) systems can handle the duplication of healthcare services. This is done by allowing quick search and access to vital and relevant fragments from scattered EPRs to view more comprehensive picture and promote advances in the diagnosis and treatment of illnesses. SVSEPRS is a web based system model that helps participant to search for and view virtual EPR segments, using an endowed and well structured Centralised Multidimensional Search Mapping (CMDSM). This defines different quantitative values (measures), and descriptive categories (dimensions) allows clinicians to slice and dice or drill down to more detailed levels or roll up to higher levels to meet clinicians required fragment

Business Intelligence: Evolution And Future Trends

Business Intelligence systems play a critical role in the business development process. They help make critical decisions based on meaningful information culled from a huge, complicated database system. Business intelligence also plays a key role in business growth and profitability by capturing real-time information and data pieces for market forecasting. As electronics media advance, companies are looking for the best data integration processes to integrate important information through electronic and computer devices to their business intelligence systems. The real challenge that organizations are facing is how to get real information in real time. In the past, organizations have adopted different solutions to integrate data into their business intelligence tools. Therefore, in terms of data and information integration, business intelligence has made significant improvements within the past three decades to meet ad hoc requirements of business intelligence users. Over the past two decades, there has been great progress in consuming and automating data in business intelligence, and there are trends and influences that are true inflection points in the industry. Periodically, trends in the industry have significantly changed important aspects of business intelligence applications: what they do, how they do it, or how they are used, either individually or collectively. This thesis discusses the evolution of business intelligence throughout different periods of time, and future trends in business intelligence

Limits or Integration? – Manufacturing Execution Systems and Operational Business Intelligence

Manufacturing Execution Systems (MES) and Operational Business Intelligence (OpBI) analyze and control operationalactivities in different organizational application fields. This raises the question how far these concepts are interrelated incontext of company-wide process coordination and analysis. The goal of this paper is the evaluation and conceptualclassification of MES and OpBI to base subsequent research actions. A literature review is conducted to recognize if arelationship of the concepts is taken into account in academics and to look for research gaps. Therefore, a representativenumber of articles have been extracted from selected scientific databases. The review results in four publications illuminatingonly single correlation aspects. This leads to the conclusion that further research in context of MES and OpBI is needed

WAQS : a web-based approximate query system

The Web is often viewed as a gigantic database holding vast stores of information and provides ubiquitous accessibility to end-users. Since its inception, the Internet has experienced explosive growth both in the number of users and the amount of content available on it. However, searching for information on the Web has become increasingly difficult. Although query languages have long been part of database management systems, the standard query language being the Structural Query Language is not suitable for the Web content retrieval. In this dissertation, a new technique for document retrieval on the Web is presented. This technique is designed to allow a detailed retrieval and hence reduce the amount of matches returned by typical search engines. The main objective of this technique is to allow the query to be based on not just keywords but also the location of the keywords within the logical structure of a document. In addition, the technique also provides approximate search capabilities based on the notion of Distance and Variable Length Don\u27t Cares. The proposed techniques have been implemented in a system, called Web-Based Approximate Query System, which contains an SQL-like query language called Web-Based Approximate Query Language. Web-Based Approximate Query Language has also been integrated with EnviroDaemon, an environmental domain specific search engine. It provides EnviroDaemon with more detailed searching capabilities than just keyword-based search. Implementation details, technical results and future work are presented in this dissertation

Business Intelligence And Geographic Information System Lifecycle Architecture Using Cloud Computing For Smart Community

Business Intelligence (BI) is a technique and IT tool that supports business decision making. BI is considered a unique source of competitive advantage in the market place and it can combine data, multimedia, and transactions all in one application to address people\u27s needs. Using BI applications can increase both operational efficiency and customer satisfaction. In addition, BI improves planning that provides the foundation for top successful performances in the future. Geographic Information Systems (GIS) deliver productivity tools that are highly beneficial for businesses. These benefits include: visualization, business capacity, analysis, and interpreting data to understand relationships, patterns, and trends. Another benefit is a new feature can report drivers who speed, accelerate hard, and make sudden stops. Nowadays, GIS is responsible for developing standard, strategy, and policy that emphasize coordination and cooperation among organizations and businesses in order to maximize cost effectiveness. Smart card technology is the name that describes plastic cards with an embedded computer chip. Basically, smart cards are usually the most cost-effective solution because it increases the level of processing power, memory, and flexibility. Therefore, implementing a smart card in a driver\u27s license can help to build control in a community. However, the general objective of the study is to investigate the feasibility of integrating Cloud Computing, BI, and GIS to build smart community. The research focuses on enhancing GIS tools and build control in community. The proposed system is a new approach in Information Technology that can lower business cost and build policy in organization. The research is nonexperimental study used qualitative method to answer certain research questions posed for the study. The result obtained from analysis exists GIS showed that enhance GIS can build control in the community. Furthermore, there is a feasibility integrating BI, Cloud and GIS to build smart community. On the bases of these finding, IT synergy will influence the business workflow process and performance of organization. Organizations can achieve many benefits from the integrating Cloud Computing approach, BI and GIS in decision making

Feasibility analysis of using microcircuit technology in logistics applications/radio frequency (MITLA/RF) to support equipment maintenance management

This thesis presents the background, criteria, and baseline recommendations for a Microcircuit Technology in Logistics Application/Radio Frequency (MITLA/RF) proposal to support developing maintenance management doctrine. Its main thrust is a preliminary feasibility analysis of MITLA/RF to identify key issues with regard to maintenance operations within emerging Operational Maneuver From The Sea (OMFTS) concepts. This thesis surveys current requirements, information systems initiatives, test/evaluation results, implementation issues, and technology tradeoffs. It offers alternatives to reliance on manual record keeping and frameworks for enhancing horizontal/ vertical information flows, explores several near real-time interactive decision making tools, and suggests doctrinal improvements through a fusion of procedural and high-tech approaches. This study is an outline for melding policy change with the state-of-the-art technology required to successfully support emerging Combat Service Support (CSS) operations.http://archive.org/details/feasibilitynalys1094539655Major, United States Marine CorpsCaptain, United States Marine Corps.Approved for public release; distribution is unlimited

A new MDA-SOA based framework for intercloud interoperability

Cloud computing has been one of the most important topics in Information Technology which aims to assure scalable and reliable on-demand services over the Internet. The expansion of the application scope of cloud services would require cooperation between clouds from different providers that have heterogeneous functionalities. This collaboration between different cloud vendors can provide better Quality of Services (QoS) at the lower price. However, current cloud systems have been developed without concerns of seamless cloud interconnection, and actually they do not support intercloud interoperability to enable collaboration between cloud service providers. Hence, the PhD work is motivated to address interoperability issue between cloud providers as a challenging research objective. This thesis proposes a new framework which supports inter-cloud interoperability in a heterogeneous computing resource cloud environment with the goal of dispatching the workload to the most effective clouds available at runtime. Analysing different methodologies that have been applied to resolve various problem scenarios related to interoperability lead us to exploit Model Driven Architecture (MDA) and Service Oriented Architecture (SOA) methods as appropriate approaches for our inter-cloud framework. Moreover, since distributing the operations in a cloud-based environment is a nondeterministic polynomial time (NP-complete) problem, a Genetic Algorithm (GA) based job scheduler proposed as a part of interoperability framework, offering workload migration with the best performance at the least cost. A new Agent Based Simulation (ABS) approach is proposed to model the inter-cloud environment with three types of agents: Cloud Subscriber agent, Cloud Provider agent, and Job agent. The ABS model is proposed to evaluate the proposed framework.Fundação para a Ciência e a Tecnologia (FCT) - (Referencia da bolsa: SFRH SFRH / BD / 33965 / 2009) and EC 7th Framework Programme under grant agreement n° FITMAN 604674 (http://www.fitman-fi.eu