Post-occupancy evaluations represent an important missed opportunity. While POEs are often used to inform design guides, and to support facility management, they are seldom used to support design decision-making. While there are several technical, methodological, and cultural impediments to the ongoing use of POE results in design, characteristics of POE data and data structure is an important, and often overlooked, impediment. Some evaluators have attempted to resolve this problem by involving actively as consultants in design teams or involving users, such as Placemaking or Process Architecture. Recent advances in conceptual data modeling provide another strategy to interface POE findings and design decision-making. This thesis uses EXPRESS modeling language to develop a conceptual data structure for POE data, and integrate POE data with as-built building descriptions. While this effort has the potential to develop an improved way to structure POE data and make it more useful, it is also an extension of ISO-STEP. This study develops a data structure based on post-occupancy evaluations of state and federal trial courtrooms conducted by the researcher. Thirty-one courtrooms were evaluated, resulting in usable data from 93 courtroom users in 26 courtrooms. An EXPRESS-G schema was developed and was translated into a relational database for holding data and running queries. The investigator illustrated a range of query-generated outcomes to support decision-making during design and design review. Such outcomes include exploring existing courtrooms, comprehending the types of design decisions implemented across federal and state courtrooms, identifying design decisions that have been rated favorably or otherwise by courtroom users, rating design decisions based on evaluation data from existing courtrooms, and predicting a designed environments supportiveness to task performance. Further, multivariate analysis of the POE data provides the first scientific investigation of courtrooms as work settings. Finally, eight key performance indicators of courtrooms were developed based on the POE data.

Microbial growth is a major cause of Indoor Air Quality (IAQ) problems. The implications of mold growth range from unacceptable musty smells and defacement of interior finishes, to structural damage and adverse health effects, not to mention lengthy litigation processes. Mold is likely to occur when a favorable combination of humidity, temperature, and substrate nutrient are maintained long enough. As many modern buildings use products that increase the likelihood of molds (e.g., paper and wood based products), reported cases have increased in recent years. Despite decades of intensive research efforts to prevent mold, modern buildings continue to suffer from mold infestation. The main reason is that current prescriptive regulations focus on the control of relative humidity only. However, recent research has shown that mold occurrences are influenced by a multitude of parameters with complex physical interactions. The set of relevant building parameters includes physical properties of building components, aspects of building usage, certain materials, occupant behavior, cleaning regime, HVAC system components and their operation, and other. Mold occurs mostly as the unexpected result of an unforeseen combination of the uncertain building parameters. Current deterministic mold assessment studies fail to give conclusive results. These simulations are based on idealizations of the building and its use, and therefore unable to capture the effect of the random, situational, and sometimes idiosyncratic nature of building use and operation. The presented research takes a radically different approach, based on the assessment of the uncertainties of all parameters and their propagation through a mixed set of simulations using a Monte Carlo technique. This approach generates a mold risk distribution that reveals the probability of mold occurrence in selected trouble spots in a building. The approach has been tested on three building cases located in Miami and Atlanta. In all cases the new approach was able to show the circumstances under which the mold risk could increase substantially, leading to a set of clear specifications for remediation and, in for new designs, to A/E procurement methods that will significantly reduce any mold risk.

Submitted by ALEXANDRE TELES DE CASTRO null (axandre1@hotmail.com) on 2016-05-12T03:47:57Z No. of bitstreams: 1 Dissertação Alexandre_27_04_2016_Versão FINAL.docx: 2706941 bytes, checksum: 571c1689b57b8c4f5187e8c13a74c86b (MD5) / Approved for entry into archive by Juliano Benedito Ferreira (julianoferreira@reitoria.unesp.br) on 2016-05-12T18:31:09Z (GMT) No. of bitstreams: 1 castro_at_me_guara.pdf: 2054530 bytes, checksum: 9738a869d771260980ea50f64ba32192 (MD5) / Made available in DSpace on 2016-05-12T18:31:09Z (GMT). No. of bitstreams: 1 castro_at_me_guara.pdf: 2054530 bytes, checksum: 9738a869d771260980ea50f64ba32192 (MD5) Previous issue date: 2016-03-04 / Este trabalho visa analisar a energia elétrica das instalações elétricas, os consumos de energia elétrica, ar comprimido e água gelada, criação de novos indicadores de desempenho energético e uso de ferramentas estatísticas em uma empresa montadora de veículos. Seu principal objetivo é obter novos indicadores de desempenho energético, redução do consumo de energia elétrica em uma pesquisa ação, com a necessidade de encontrar reduções de consumo de energia nas áreas das utilidades, água gelada, água quente, ar comprimido, energia elétrica nas áreas transversais. Dentre os insumos utilizados pelas indústrias, a energia elétrica insere-se como recurso essencial em quase todas as atividades de um sistema produtivo. Dessa forma, são evidenciados os consumos de maior relevância nas áreas de utilidades e nas áreas transversais. O investimento no uso eficiente de energia elétrica traz uma série de benefícios para a empresa, para o país e para seu cliente final. Dentre os aspectos econômicos envolvidos na atividade de racionalização do uso de energia, deve-se destacar a valorização da imagem e da visão estratégica da empresa. São evidenciados os novos indicadores de desempenho energético nos setores transversais e nas utilidades, mensais. Não houve correlação dos consumos de energia elétrica entre os prédios. As tendências de consumo de ar comprimido e água gelada mostraram uma incompatibilidade, observado nos gráficos de correlação. / This work aims to analyze the demand for electric energy, electric energy consumption, compressed air and chilled water, creating new indicators of energy performance and use of statistical tools in a vehicle assembly company. Its main objective is to obtain new indicators of energy performance, reduced power consumption in an action research, with the need for energy consumption reductions in the areas of utilities, cold water, hot water, compressed air, chilled water, energy electric in cross-cutting areas. Among the inputs used by industries, the electricity is part of an essential feature in almost all activities of a production system. Thus, it is highlighted the most relevant consumption in the areas of utilities and in cross-cutting areas. Investment in energy-efficient brings a number of benefits for the company, for the country and for your end customer. Among the economic aspects involved in rationalizing activity of energy use, it should be noted to enhance the image and the strategic vision of the company. It will be shown the new energy performance indicators in cross-cutting sectors and the utilities, monthly. There was no correlation of electric energy consumption between buildings. The compressed air consumption trends and chilled water showed a mismatch, seen in correlation graphs.

Made available in DSpace on 2009-11-18T18:56:18Z (GMT). No. of bitstreams: 1 monica.pdf: 644490 bytes, checksum: 7190ddeb13dd37664c7e79b9b1b32c9e (MD5) Previous issue date: 2009 / This document presents the research developed to define performance indicators for the Rio de Janeiro Botanical Garden. Comprehends a bibliographical survey on enterprises evaluation, with special emphasis on the public sector, the indexes used by similar institutions and a proposal of indicators that allow measuring the Botanic Garden performance. A list of ideal indicators had been produced, followed by an analysis of the ones that can already be adopted based on the data available. / Este documento apresenta a pesquisa executada para definição de indicadores de desempenho para o Jardim Botânico do Rio de Janeiro. Compreende um levantamento bibliográfico sobre avaliação de empresas, especialmente no setor público, os índices adotados por instituições afins e uma proposta de indicadores que possibilitem apurar a atuação do Jardim Botânico. Foi produzida uma relações de indicadores ideais e posteriormente feira uma avaliação dos que, dentre eles, já são passíveis de adoção com base nos dados disponíveis.

Cette thèse présente deux contributions. La première contribution consiste en l’étude des métriques de performance permettant de superviser l’activité des serveurs physiques et des machines virtuelles s’exécutant sur les hyperviseurs VMware et KVM. Cette étude met en avant les compteurs clés et propose des analyses avancées dans l’objectif de détecter ou prévenir d’anomalies liées aux quatreres sources principales d’un centre de données : le processeur, la mémoire, le disque et le réseau. La seconde contribution porte sur un outil pour la détection de machines virtuelles à comportements pré-déterminés et/ou atypiques. La détection de ces machines virtuelles à plusieurs objectifs. Le premier, permettre d’optimiser l’utilisation des ressources matérielles en libérant des ressources par la suppression de machines virtuelles inutiles ou en les redimensionnant. Le second, optimiser le fonctionnement de l’infrastructure en détectant les machines sous-dimensionnées, surchargées ou ayant une activité différente des autres machines virtuelles de l’infrastructure. / This thesis presents two contributions. The first contribution is the study of key performance indicators to monitor physical and virtual machines activity running on VMware and KVM hypervisors. This study highlights performance metrics and provides advanced analysis with the aim to prevent or detect abnormalities related to the four main resources of a datacenter: CPU, memory, disk and network. Thesecond contribution relates to a tool for virtual machines with pre-determined and / or atypical behaviors detection. The detection of these virtual machines has several objectives. First, optimize the use of hardware resources by freeing up resources by removing unnecessary virtual machines or by resizing those oversized. Second, optimize infrastructure performance by detecting undersized or overworked virtual machines and those having an atypical activity.

Orientador: José Antonio Perrella Balestieri / Resumo: Este trabalho visa analisar a energia elétrica das instalações elétricas, os consumos de energia elétrica, ar comprimido e água gelada, criação de novos indicadores de desempenho energético e uso de ferramentas estatísticas em uma empresa montadora de veículos. Seu principal objetivo é obter novos indicadores de desempenho energético, redução do consumo de energia elétrica em uma pesquisa ação, com a necessidade de encontrar reduções de consumo de energia nas áreas das utilidades, água gelada, água quente, ar comprimido, energia elétrica nas áreas transversais. Dentre os insumos utilizados pelas indústrias, a energia elétrica insere-se como recurso essencial em quase todas as atividades de um sistema produtivo. Dessa forma, são evidenciados os consumos de maior relevância nas áreas de utilidades e nas áreas transversais. O investimento no uso eficiente de energia elétrica traz uma série de benefícios para a empresa, para o país e para seu cliente final. Dentre os aspectos econômicos envolvidos na atividade de racionalização do uso de energia, deve-se destacar a valorização da imagem e da visão estratégica da empresa. São evidenciados os novos indicadores de desempenho energético nos setores transversais e nas utilidades, mensais. Não houve correlação dos consumos de energia elétrica entre os prédios. As tendências de consumo de ar comprimido e água gelada mostraram uma incompatibilidade, observado nos gráficos de correlação. / Abstract: This work aims to analyze the demand for electric energy, electric energy consumption, compressed air and chilled water, creating new indicators of energy performance and use of statistical tools in a vehicle assembly company. Its main objective is to obtain new indicators of energy performance, reduced power consumption in an action research, with the need for energy consumption reductions in the areas of utilities, cold water, hot water, compressed air, chilled water, energy electric in cross-cutting areas. Among the inputs used by industries, the electricity is part of an essential feature in almost all activities of a production system. Thus, it is highlighted the most relevant consumption in the areas of utilities and in cross-cutting areas. Investment in energy-efficient brings a number of benefits for the company, for the country and for your end customer. Among the economic aspects involved in rationalizing activity of energy use, it should be noted to enhance the image and the strategic vision of the company. It will be shown the new energy performance indicators in cross-cutting sectors and the utilities, monthly. There was no correlation of electric energy consumption between buildings. The compressed air consumption trends and chilled water showed a mismatch, seen in correlation graphs. / Mestre

This thesis addresses issues of measuring and managing the performance of commercial bank institutions by means of a system called Corporate Performance Management (CPM). The theoretical part of this work is devoted to introduction of banking industry and methods of performance measurement in commercial banks. It introduces a general concept and key components of CPM supported by Business Intelligence technology. In the practical part of this work there is introduced the design of two concrete CPM solutions which are being currently built in banks -- KPI processing and interest margin calculation. The main thesis contribution to the existing literature is a creation of complex material about relevant aspects of implementation CPM solutions in data warehouses of commercial banks and creation the conceptual design of a concrete solution.

This thesis is focused on Master Data Management (MDM), Customer Data Integration (CDI) area and its main domains. It is also a reference to a various theoretical directions that can be found in this area of expertise. It summarizes main aspects, domains and presents different perspectives to referenced principles. It is an exhaustive background research in area of Master Data Management with emphasis on practical use with references on authors experience and opinions. Secondary focus is directed to the field of business value of Master Data Management initiatives. Thesis presents a thought concept for initiations of MDM project. The reason for such a concept is based on current trend, where companies are struggling to determine actual benefits of MDM initiatives. There is overall accord on the subject of necessity of such initiatives, but the struggle is in area of determining actual measureable impact on company's revenue or profit. Since the MDM initiative is more of an enabling function, rather than direct revenue function, the benefit is less straight forward and therefore harder to determine. This work describes different layers and mapping of business requirements through layers for transparent linkage between enabling functions to revenue generating ones. The emphasis is given to financial benefit calculation, measurability and responsibility of business and IT departments. To underline certain conclusions thesis also presents real world interviews with possible stakeholders of MDM initiative within the company. These representatives were selected as key drivers for such an initiative. Interviews map their recognition of MDM and related terms. It also focus on their reasons and expectations from MDM. The representatives were also selected to equally represent business and IT departments, which presents interesting clash of views and expectations.

The web and mobile web traffic is growing rapidly due to service accessibility in densely populated areas and massive usage of smart hand held devices (smartphones, pads and Internet dongles). This is a challenge for mobile operators and service providers, because it forces systematically increasing network throughput capacity and in parallel to keep this investment on profitable basis. On the other side, the user satisfaction with mobile broadband service should be considered as well, in order to balance the user expectations and mobile operator investments. Our work provides extensive QoE study for different conditions in sense of mobile web service, web content, network conditions and end user device. Finally, the obtained results create basis for more dimensional overview of mobile web QoE and allow to recognize quality and saturation thresholds based on network parameters. Further, obtained data provide base for design three prediction models for prediction of MOS (one for notebook, one for mobile device) and acceptability.

En la actualidad el mercado global de e-learning ha tenido un crecimiento exponencial, esto ha sido impulsado por la coyuntura actual que atraviesa el mundo debido a la aparición del COVID-19, las medidas de confinamiento a nivel mundial han propiciado un escenario favorable para el desarrollo de productos y servicios tecnológicos y el sector académico no es ajeno a ello. El presente trabajo de investigación, desarrolla un ejercicio teórico de aplicación de las técnicas y herramientas de la Dirección de Proyectos, basado en la Guía del PMBOK ® 6ta edición, en un proyecto educativo. El proyecto de inversión tendrá un presupuesto de S/ 453,637.83 y una duración de 18 meses. Los principales entregables del proyecto son 12 cursos, un manual de uso de la plataforma (para el docente y alumno), material para publicidad (folleto, 4 piezas gráficas y 1 video promocional), un curso virtual de capacitación en ventas y la realización de 2 talleres de capacitación. Se desarrolla un Caso de Negocio que muestra como principales indicadores financieros un valor actual neto (VAN) de S/ 271,566.01, una TIR de 48%, mayor a la rentabilidad del accionista 16.47%, logrando la rentabilidad y viabilidad del proyecto. Además, se presenta la curva J para gestionar periódicamente en el tiempo, el Valor generado por este proyecto. Para asegurarse de obtener Valor, es importante monitorear los Beneficios, es por ello que se desarrolla un modelo de Gestión de Beneficios y se introduce dos nuevas herramientas denominadas Indicador de Desempeño de la Realización (RPI) y el Indicador de Entrega del Proyecto (DPI), por sus siglas en inglés. / At present, the global e-learning market has grown exponentially, this has been driven by the current situation in the world due to the appearance of COVID-19, the confinement measures worldwide have created a favorable scenario for the development of technological products and services in the academic sector. This research work develops a theoretical exercise of application of the techniques and tools of Project Management, based on the PMBOK ® 6th Edition Guide, in an educational project. The project will have a budget of S / 453,637.83 and a duration of 18 months. The main deliverables of the project are 12 courses, a platform use manual (for the teacher and student), advertising material (brochure, 4 graphic pieces and 1 promotional video), a virtual sales training course and the realization of 2 training workshops. A business case is developed that shows as main financial indicators a net present value (NPV) of S / 271,566.01, an IRR of 48%, higher than the shareholder's profitability of 16.47%, which demonstrate the profitability and viability of the project. In addition, the J curve is presented to periodically manage the Value generated by this project over time. To ensure that Value is obtained, it is important to monitor Benefits, which is why a Benefits Management model is developed and two new tools are introduced called the Realization Performance Indicator (RPI) and the Project Delivery Indicator (DPI). / Trabajo de investigación