Many researchers believe that the Internet is “ossified”, that is, its design is preventing the network to evolve in aspects such as security, mobility, and content distribution. However, it is difficult to test new ideas in a production environment like the Internet due to its stability requirements. As an alternative, part of the network research community is focused on building large-scale infrastructures called testbeds, where they can build their “own” network and test their ideas in a more realistic environment, similar to the Internet itself. This work discusses the challenges of a key function in a testbed: monitoring. To do this, we reviewed the state-of-the-art in monitoring systems for testbeds and then identified, described, and implemented a set of monitoring use cases in the FIBRE testbed. By implementing these use cases, we validate our proposals and lay a framework reusable in other similar environments. / Submitted by Luiz Felipe Barbosa (luiz.fbabreu2@ufpe.br) on 2015-03-10T17:26:38Z No. of bitstreams: 2 DISSERTAÇÃO Raphael Augusto de Sousa Dourado.pdf: 6341527 bytes, checksum: c6ee052e4d2ce1085459d2bca175af0e (MD5) license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) / Made available in DSpace on 2015-03-11T17:36:24Z (GMT). No. of bitstreams: 2 DISSERTAÇÃO Raphael Augusto de Sousa Dourado.pdf: 6341527 bytes, checksum: c6ee052e4d2ce1085459d2bca175af0e (MD5) license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) Previous issue date: 2014-07-24 / Muitos pesquisadores acreditam que a Internet está “ossificada”, ou seja, sua própria estrutura a impede de evoluir em aspectos como segurança, mobilidade e distribuição de conteúdo. No entanto, há uma dificuldade em testar novas ideias em ambiente de produção como a Internet devido aos requisitos de estabilidade dos mesmos. Este impasse levou parte da comunidade de pesquisa em Redes de Computadores a construir infraestruturas em larga escala chamadas testbeds, onde pesquisadores podem montar sua “própria” rede privada e então testar suas ideias em um ambiente similar à Internet. Este trabalho discute os desafios de uma das principais tarefas de um testbed: monitoração. Para tal, foi realizado um levantamento do estado da arte em sistemas de monitoração para testbeds e, a partir deste estudo, foi identificado, descrito e implementado um conjunto de casos de uso de monitoração no contexto do testbed FIBRE. A implementação destes casos de uso validou as propostas deste trabalho, as quais podem também ser aplicadas a outros ambientes similares.

Kyoto University (京都大学) / 0048 / 新制・課程博士 / 博士(工学) / 甲第16815号 / 工博第3536号 / 新制||工||1535(附属図書館) / 29490 / 京都大学大学院工学研究科社会基盤工学専攻 / (主査)教授 松岡 俊文, 教授 小池 克明, 教授 田村 正行 / 学位規則第4条第1項該当

M.Sc. / The main objective of this study was to perform active biomonitoring in the Rietlvlei Wetland System. Active biomonitoring, which can be defined as “the translocation of organisms from one place to another and quantifying their biochemical, physiological and/or organismal responses for the purpose of water quality monitoring” (De Kock and Kramer, 1994), has several advantages over the chemical monitoring system. Effluents often are complex and poorly characterized mixtures of a large number of chemicals. A combination of many chemicals being present in very small amounts (even below detection limits) can have a substantial impact on organisms, and a chemical-based approach may not identify the source of pollution nor will effect of synergism or antagonism be taken into account (Smolders et al., 2003). A suite of biomarkers of oxidative stress and histopathology were investigated in the fish Oreochromis mossambicus and the mollusk Melanoides tuberculata. The organisms were bred under laboratory conditions. They were deployed during the high-flow and low-flow periods, in cages at three sites down the flow gradient of the Rietvlei wetland system, to determine spatial and temporal variations in biomarker responses and general water chemistry in the system. The oxidative stress biomarkers analyzed were catalase (CAT), superoxide dismutase (SOD), peroxidase (GPx), as well as levels of reduced glutathione (GSH) and lipid peroxidation as malondialdehyde (MDA). There was evidence of presence of chemicals inducing oxidative stress in the organisms as indicated by the high levels of MDA, GSH and GPx. Induction of CAT and SOD was not substantial due to possible inhibitory factors. This study established that organism transplantation is a feasible strategy for biomonitoring. Overall, no distinct variations were observed in the spatial and temporal comparisons in all the biomarker responses. The findings of this investigation also provide a basis for further investigation into the application of these biomarkers in ecological risk assessment. / Dr. V. Wepener

Clinical performance monitoring applications enable performance management of care processes in clinical settings. Although information technology has been advocated as a solution to support the provision of better care, the development of clinical performance monitoring applications is often a non-trivial task. A high rate of failure in IT healthcare project implementations has been reported in the literature due to the disconnect between clinicians and the development team. Furthermore, challenges inherent to the configuration of the healthcare system add to the complexity of developments. Often data sources are not adequately structured or cannot be accessed in a timely fashion; processes are uncoordinated or ill-defined; a plethora of information technologies across different healthcare organizations make interoperability problematic; and there are concerns related to privacy and security. Getting the right information to measure the achievement of the right goals at the right time for the right people is the main task to address when developing clinical performance monitoring applications. In this thesis we propose a development methodology that combines technical and managerial aspects of application development following a user-centered approach. It involves the engagement of stakeholders and users throughout in a three phase iterative process of modeling, implementation and evaluation to ensure user acceptance and adoption of applications when deployed. In particular, our focus is on the development of mobile clinical performance monitoring applications, where raw data about clinical problems are logged by healthcare providers and then transformed into meaningful reports that will support decision-making. The development methodology is evaluated using a case study of a Resident Practice Profile (RPP) application that was developed by a team lead by Dr. Gary Viner from the University of Ottawa medical school.

Main goal of this work is to analyze the cycletourism from many points of view. The thesis has topics such as -cycleroutes -imports, exports and production of bicycles -financing of cycletourism -cycling in city -cyclist and his evaluation of services for cycletourism -greenways

The thesis is focused on design of semi-automatic creation of incidents in the operational monitoring of Czech insurance company, based on the interconnection of two independently functioning applications currently used in the DoC (monitoring center). The purpose of the introduction of the new solution is saving time required for establishing an incident in SD (Service Desk) and its handover to a particular solver, which has a positive impact on the overall time dealing with the incident. Concept of semi-automatic creation of incidents in this thesis is prepared in relation to the analysis of the current state of the escalation of incidents, which included the measurement of the duration of the creation of incidents for a specific period. Final concept was tested in a non-productive environment and had the time of incident establishing measured. Based on the results obtained by empirical measurement method, tested solution was recommended for deployment in the production environment in terms of concrete benefits for operational monitoring ČPOJ.

Effective blood glucose (BG) control is essential for patients with diabetes. This calls for an immediate need to closely keep track of patients' BG level all the time. However, sometimes individual patients may not be able to monitor their BG level regularly due to all kinds of real-life interference. To address this issue, in this paper we propose machine-learning based prediction models that can automatically predict patients BG level based on their historical data and known current status. We take two approaches, one for predicting BG level only using individual's data and second is to use a population data. Our experimental results illustrate the effectiveness of the proposed model.

Background: Adherence to antiretroviral therapy (ART) is critical: only 70% achieve viral suppression at a year. Current adherence methodologies, with slow reaction to missed dosing, inadequately predict virological outcomes. Ideal adherence methods would be cheap, easy to use, and allow rapid response to missed doses to improve outcomes. We explored ideal adherence monitoring methodology for a large public sector ART clinic in Cape Town. Methods: We designed a randomised controlled study for ART-naïve individuals to determine whether text messaging after a missed dose would improve adherence recorded by an electronic adherence monitoring device (EAMD), reduce treatment interruptions or impact on virological outcome (using regression modelling). Five other measures of adherence were captured prospectively during the study: selfrecall (SR), clinic-based pill count (CPC), pharmacy refill data (PR-average or PR-gaps) and efavirenz concentration. The predictive value of each adherence methodology on virological and HIV-1 resistance outcomes was compared by calculating the area under the receiver operating characteristic curve, from logistic regression models. The impact of efavirenz concentration and CYP2B6 metaboliser genotype data on failure was examined using Cox proportion hazard modelling; and the most predictive lower limit for EFV concentration was determined. Antiretroviral cohort and pharmacy refill data were compared, using simple statistics, to determine which provided the best method of determining those retained in care.

In Analogie zu den Systemen für die KKW Saporoshje und Rovno wurden für die drei Blöcke des KKW Südukraine und für den ersten Block des KKW Chmelnitzky technische Systeme zur verbesserten betrieblichen Überwachung eingerichtet. Dazu werden der Aufsichtsbehörde vor Ort und im Krisenzentrum in Kiew einmal pro Minute für jeden Block bis zu 51 sicherheitsrelevante technologische und 16 radiologische Parameter zur Bewertung mittels moderner technischer Ausrüstungen online zur Verfügung gestellt. Die entwickelte Auswertesoftware gestattet die Darstellung der Bewertungsergebnisse in Form von Tabellen, Grafiken und Schemata. Außerdem ermöglicht ein Archivmodus Trendanalysen. Mit der Integration der für die geschützte Warte gelieferten Ausrüstungen in das am Standort des KKW Saporoshje betriebene Fernüberwachungssystem ist es nunmehr möglich, die wesentlichen sicherheitsrelevanten Parameter des gesamten Standortes auch bei außergewöhnlichen Ereignissen mit Hilfe moderner Technik zu erfassen und zu bewerten.

The aim of this thesis is to find method for flood monitoring from radar images. The thesis deals with flood in general and with organization of flood protection. There are described principles of radar sensors. There is also summary of satellites with their parameters. Next part of the thesis describes interaction between radar beam and different types of surface. Theoretical part is closed by overview of the existing methods for flood monitoring. In the practical part there is method for flood monitoring applied to areas affected by flood. The process is based on the classification of the radar image. Using classification and digital elevation model is drawn boundary of flooded area. The result boundaries are compared with the existing maximal flooded areas.