The aim of this master work is to create flexible information system, based on the up-to-date technologies and tailored to the users’ needs. The information system aims to facilitate work, presentation of the information and customers’ service. Joint-stock company “Švaros komanda“ offers waste disposal facilities for citizens and companies. The main goal of this project is to computerize workplace of manager. The data will be stored in the database, created by using Access 2002. The information system helps to solve these goals: • To make contracts with customers; • To create the timetables; • To fix services; • To collect the data from posts ant banks and to import into data base; • Accounts control. The usage of system will simplify system administrator functions and will reduce level of mistakes.

Pagrindinis šio darbo tikslas yra išstudijuoti procesus, procedūras, priemonės ir problemas susijusias su klinikinių duomenų rinkimu, kaupimu, panaudojimu, informacijos judėjimu Kauno medicinos universiteto klinikose bei pasiūlyti idėjas, kaip patobulinti jau veikiančius duomenų rinkimo bei kaupimo metodus, pagerinti sukauptų duomenų analizavimą, statistikos rinkimą, apžvelgti integravimosi su kitomis egzistuojančiomis informacinėmis sistemomis, ir apibendrinant – pagerinti bei pagreitinti informacijos judėjimą gydymo įstaigoje sukuriant naują unifikuotą KMUK klinikinių duomenų informacinę sistemą. Šis tyrimas yra sutelktas ties informacijos rinkimu, apdorojimu bei apsikeitimu ne tik vietiniu mastu, t.y. tarp atskirų klinikų, bet ir visos Lietuvos mastu, t.y. su kitomis Lietuvos gydymo įstaigomis, bei kuriamu nacionalinės e. sveikatos sistemos projektu. Tyrimas parodė, jog duomenų rinkimas yra pakankamai sudėtingas. Yra naudojamos skirtingos priemonės, tokios kaip: pacientų kortelės, registrai, įvairios formos. Visos šios skirtingos duomenų rinkimo bei kaupimo priemonės rodo, jog yra didelis poreikis vieningos sistemos, kuri apimtų visus klinikose vykstančius procesus, realizuotų skirtingų profilinių klinikų darbo savitumus. Viso tyrimo metu diskutuojant tiek su gydymo įstaigų darbuotojais, tiek nagrinėjant jau esamas sistemas aš supratau, jog yra nemažai problemų susijusių su informacijos valdymu bei apdorojimu. Vienos iš jų – nepakankamas suvokimas poreikio kaupti... [toliau žr. visą tekstą] / The main aims and objectives of this study are, to explore the procedures, tools and problems related to primary health care data collection, storage, use and information flows in Kaunas university of medicine and to offer ideas and suggestions on how to improve the systems of routine data collection, storage, analysis and use of information and more generally to improve the flows of information and also to explore challenges related to realizing the potential for cooperative, integrated information systems in healthcare and more generally – to improve the flows of information by creating a new unified information system of clinical data. This study is based on data collection, processing and exchanging not only in the area of Kaunas university of medicine, but also, with the other institutions of health care and the „NESS“ project which is now being developed. The study showed that the process of data collection is rather complex. A number of data collection tools are used: patient cards, registers, various forms. All of this shows that a unified information system of clinical data is needed. It will involve all the processes inside clinics, deal with the individuality of every single clinic. Through a cross – case analysis and discussions with people who work in health care I found that there are several problems related to the use and management of information like lack of clear understanding of the purpose of data collection, poor knowledge of working with computer... [to full text]

A single-phase, buck-boost based, dual-output AC-DC converter is studied in this thesis. The converter has two DC outputs with opposite polarities, which share the same ground with the input power line. The power stage performance, including the input filter, is studied and procedure to select power components is given. The circuit model is analyzed to develop appropriate control. Zerocrossing distortion of the source input current is addressed and a solution is proposed. Experimental results are satisfactory in that a high power factor line current results for steady-state operation.

This study examines the effect that divided or unified government, in the United States of America, has on the delegation of trade authority to the President. Using a qualitative analysis approach, I examine competing views and formulate an independent opinion based on the peoples’ preferences and evaluation of the principles of America’s Constitutionalism. I conclude that overemphasis on the impact of divided government is misleading because trade issues provide the primary mechanism which determines the implementation of America’s trade policies, and the principles of Constitutionalism are valuable guidelines. Blended with the discussion is the awareness of an American ethos which challenges formulation of trade agreements in an era of increased globalization.

La tesis propone un lenguaje específico de dominio (DSL) para modelar Sistemas Colaborativos (CSSL - Collaborative Software System Language). Este lenguaje fue diseñado como una extensión de UML usando el mecanismo de metamodelado y posee una sintaxis abstracta formalizada que permitirá entre otras cosas definir más de una sintaxis concreta a partir de ella, lo cual aumenta la legibilidad y flexibilidad del lenguaje. Finalmente se presenta una guía que facilita la construcción de Sistemas Colaborativos. Dentro del paradigma MDD (Model Driven Development) y utilizando el lenguaje CSSL se describe las etapas iniciales de un método para modelar los Sistemas Colaborativos.

In 2002 federal funds, known as the Primary Care Health Transition Fund (PCHTF) were transferred to the provinces to experiment with different models of health services delivery in primary care. The Northern Health Authority used the fund to implement a Chronic Disease Management Community Collaborative using the Institute for Healthcare Improvement Breakthrough Series and the British Columbia (B.C.) Expanded Chronic Care Model. Included in the Chronic Care Model is an information systems component that enables a population-based approach using guidelines and data to plan, organize, monitor and deliver care for patients with chronic illnesses. In British Columbia a secure web based system, known as the Chronic Disease Management (CDM) Toolkit was developed by the Ministry of Health and made accessible to all physicians in the province to facilitate CDM by collaboratives and individual general practitioners (GPs). Technology acceptance is a mature concept in the information systems literature, and models of technology acceptance are important in health care with the increasing deployment of information systems to support clinical and management work processes. Understanding what variables influence clinicians to use appropriate technology could promote the diffusion of technology in health care. The Unified Theory of Acceptance and Use of Technology (UTAUT) is a recent (2003) model that consolidates eight models of technology acceptance that are prominent in the information systems literature. The UTAUT analysis revealed that social influence, usefulness, and facilitating conditions are important variables for the acceptance of new technology. With some adaptations to fit the health care context, the UTAUT was found to be an effective tool to measure CDM Toolkit acceptance in the Northern Health Authority. The field observations highlighted salient issues not captured by the UTAUT, including security certificate implementation, access and confidentiality, physician participation, data entry, flow sheets, infrastructure and training.

This dissertation focuses on the mathematical design of a unified shape kernel for geometric computing, with possible applications to computer aided design (CAM) and manufacturing (CAM), solid geometric modelling, free-form modelling of curves and surfaces, feature-based modelling, finite element meshing, computer animation, etc. The generality of such a unified shape kernel grounds on a shape theory for objects in some Euclidean space. Shape does not mean herein only geometry as usual in geometric modelling, but has been extended to other contexts, e. g. topology, homotopy, convexity theory, etc. This shape theory has enabled to make a shape analysis of the current geometric kernels. Significant deficiencies have been then identified in how these geometric kernels represent shapes from different applications. This thesis concludes that it is possible to construct a general shape kernel capable of representing and manipulating general specifications of shape for objects even in higher-dimensional Euclidean spaces, regardless whether such objects are implicitly or parametrically defined, they have ‘incomplete boundaries’ or not, they are structured with more or less detail or subcomplexes, which design sequence has been followed in a modelling session, etc. For this end, the basic constituents of such a general geometric kernel, say a combinatorial data structure and respective Euler operators for n-dimensional regular stratified objects, have been introduced and discussed.

The production of three gauge bosons in high-energy collisions - in particular in view of a next-linear collider with center of mass energies in the TeV range - offers an unique opportunity to probe the Standard Model (SM) of today's particle physics. In this thesis we pay particular attention to the electroweak sector of the theory. We investigate the gauge structure {i. e. possible deviations from the SM predictions of gauge boson self-interactions manifest e. g. in anomalous quartic gauge boson couplings and Radiation zeros) as well as electroweak radiative corrections in order to improve theoretical predictions for SM processes. Quartic gauge boson couplings can be regarded as a direct window on the sector of electroweak symmetry breaking. We have studied the impact of three such anomalous couplings on the processes e+e(^-) → WWγ, ZZγ and Zγγ at LEP2 and a future linear collider. In certain high-energy scattering processes involving charged particles and the emission of one or more photons, the scattering amplitude vanishes for particular configurations of the final state particles. The fact that gauge symmetry is a vital ingredient for the cancellation to occur means that radiation zeros can be used to probe physics beyond the standard model. For example anomalous electroweak gauge boson couplings destroy the delicate cancellation necessary for the zero to occur. We have studied the process qq → WWγ. To match the expected experimental precision at future linear colliders, improved theoretical predictions beyond next-to-leading order are required. By choosing an appropriate gauge, we have developed a formalism to calculate such corrections for arbitrary electroweak processes. As an example we consider here the processes e(^+)e → f f and e(^+)e(^-) → W(^+)(_T)W(^-)(_T), W(^+)(_L)W(^-)(_L) and study the perturbative structure of the electroweak Sudakov logarithms by means of an explicit two-loop calculation. In this way we investigate how the Standard Model, with its mass gap between the photon and Z boson in the neutral sector, compares to unbroken theories like QED and QCD. We observe that the two-loop corrections are consistent with an exponentiation of the one-loop corrections. In this sense the Standard Model behaves like an unbroken theory at high energies.

This thesis provides a `proof-of-concept' prototype and a design architecture for a Object Oriented (00) database towards the development of a Decision Support System (DSS) for the national freight transport planning problem. Both governments and industry require a Strategic Planning Extranet Decision Support System (SPEDSS) for their effective management of the national Freight Transport Networks (FTN). This thesis addresses the three key problems for the development of a SPEDSS to facilitate national strategic freight planning: 1) scope and scale of data available and required; 2) scope and scale of existing models; and 3) construction of the software. The research approach taken embodies systems thinking and includes the use of: Object Oriented Analysis and Design (OOA/D) for problem encapsulation and database design; artificial neural network (and proposed rule extraction) for knowledge acquisition of the United States FTN data set; and an iterative Object Oriented (00) software design for the development of a `proof-of-concept' prototype. The research findings demonstrate that an 00 approach along with the use of 00 methodologies and technologies coupled with artificial neural networks (ANNs) offers a robust and flexible methodology for the analysis of the FTN problem domain and the design architecture of an Extranet based SPEDSS. The objectives of this research were to: 1) identify and analyse current problems and proposed solutions facing industry and governments in strategic transportation planning; 2) determine the functional requirements of an FTN SPEDSS; 3) perform a feasibility analysis for building a FTN SPEDSS `proof-of-concept' prototype and (00) database design; 4) develop a methodology for a national `internet-enabled' SPEDSS model and database; 5) construct a `proof-of-concept' prototype for a SPEDSS encapsulating identified user requirements; 6) develop a methodology to resolve the issue of the scale of data and data knowledge acquisition which would act as the `intelligence' within a SPDSS; 7) implement the data methodology using Artificial Neural Networks (ANNs) towards the validation of it; and 8) make recommendations for national freight transportation strategic planning and further research required to fulfil the needs of governments and industry. This thesis includes: an 00 database design for encapsulation of the FTN; an `internet-enabled' Dynamic Modelling Methodology (DMM) for the virtual modelling of the FTNs; a Unified Modelling Language (UML) `proof-of-concept' prototype; and conclusions and recommendations for further collaborative research are identified.

Intrusion Detection systems are now an essential component in the overall network and data security arsenal. With the rapid advancement in the network technologies including higher bandwidths and ease of connectivity of wireless and mobile devices, the focus of intrusion detection has shifted from simple signature matching approaches to detecting attacks based on analyzing contextual information which may be specific to individual networks and applications. As a result, anomaly and hybrid intrusion detection approaches have gained significance. However, present anomaly and hybrid detection approaches suffer from three major setbacks; limited attack detection coverage, large number of false alarms and inefficiency in operation. / In this thesis, we address these three issues by introducing efficient intrusion detection frameworks and models which are effective in detecting a wide variety of attacks and which result in very few false alarms. Additionally, using our approach, attacks can not only be accurately detected but can also be identified which helps to initiate effective intrusion response mechanisms in real-time. Experimental results performed on the benchmark KDD 1999 data set and two additional data sets collected locally confirm that layered conditional random fields are particularly well suited to detect attacks at the network level and user session modeling using conditional random fields can effectively detect attacks at the application level. / We first introduce the layered framework with conditional random fields as the core intrusion detector. Layered conditional random field can be used to build scalable and efficient network intrusion detection systems which are highly accurate in attack detection. We show that our systems can operate either at the network level or at the application level and perform better than other well known approaches for intrusion detection. Experimental results further demonstrate that our system is robust to noise in training data and handles noise better than other systems such as the decision trees and the naive Bayes. We then introduce our unified logging framework for audit data collection and perform user session modeling using conditional random fields to build real-time application intrusion detection systems. We demonstrate that our system can effectively detect attacks even when they are disguised within normal events in a single user session. Using our user session modeling approach based on conditional random fields also results in early attack detection. This is desirable since intrusion response mechanisms can be initiated in real-time thereby minimizing the impact of an attack.