888 resultados para Building Life Cycle, Data Mining, Management
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Gli ultimi 10 anni hanno visto un crescente aumento delle richieste di fornitura di servizi legati alla manutenzione edilizia da parte della Grande Distribuzione Organizzata; la domanda è quella di servizi riconducibili al Facility Management, ovvero rapporti basati sul raggiungimento di standard qualitativi predefiniti in sede contrattuale e garanzia di intervento 24h/24. Nella prima parte del progetto di tesi viene inquadrata la disciplina del FM, le motivazioni, gli strumenti e gli attori coinvolti. Dopo un excursus normativo sulla manutenzione in Italia, una classificazione delle tipologie di intervento manutentivo e una valutazione sull’incidenza della manutenzione nel Life Cycle Cost, viene effettuata un’analisi delle modalità interoperative del FM applicato alla manutenzione edilizia nel caso della GDO. La tesi è stata svolta nell'ambito di un tirocinio in azienda, il che ha permesso alla laureanda di affrontare il caso di studio di un contratto di Global Service con un’importante catena di grande distribuzione, e di utilizzare un software gestionale (PlaNet) con il quale viene tenuta traccia, per ogni punto vendita, degli interventi manutentivi e della loro localizzazione nell’edificio. Questo permette di avere un quadro completo degli interventi, con modalità di attuazione già note, e garantisce una gestione più efficace delle chiamate, seguite tramite un modulo di Call Center integrato. La tesi esamina criticamente i principali documenti di riferimento per l’opera collegati alla manutenzione: il Piano di Manutenzione e il Fascicolo dell’Opera, evidenziando i limiti legati alla non completezza delle informazioni fornite. L’obbiettivo finale della tesi è quello di proporre un documento integrativo tra il Piano di Manutenzione e il Fascicolo, al fine di snellire il flusso informativo e creare un documento di riferimento completo ed esaustivo, che integra sia gli aspetti tecnici delle modalità manutentive, sia le prescrizioni sulla sicurezza.
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Thesis (Ph.D.)--University of Washington, 2016-08
Utredning av förfrågningsunderlag gällande byggandet av trästomme med fokus på offentlig upphandling
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In the mid 1990s a previous prohibitions against multi-story buildings higher than two floors with a wooden frame was changed. Today multi-storey buildings are being built in Skellefteå, Sundsvall, Växjö, and Stockholm with others. Despite this only one of five houses being built today has a wooden frame. Since the municipality is a key force to get projects with wooden frames, this papers purpose is to improve tender document for the opportunity to submit bids and building with wooden frames. To help us forward with our work three questions were formulated. 1) What is the basis from a wooden constructions company perspective, of which they determines if they can place a bid or not? 2) What is the difference between tender documents made by a municipality compared to a private buyer? 3) How can tender documents be improved to create an opportunity to place a bid containing an alternative frame system? To answer these questions a literature study was carried out. The literature study is the basis of this paper. To obtain empirical data a document analysis of tender documents was carried out. The result of the study shows that wood frames are hard to adapt to an already finished technical specification, or to a tender document containing an extensive technical specification. To obtain alternative solutions, the buyer should focus on object design, form and function, or a general technical specification. Instead the technical specifications should be drawn up by the supplier, or in collaboration with them. The tender evaluation should be made by the most economically advantageous rather then the lowest price. Then the buyer can evaluate the offers against each other, rather then choosing the lowest price. This also gives the possibility for suppliers to make a bid containing an alternative solution. As a continuation of this paper, we recommend a study on which impact a general technical specification has on the project final cost. Furthermore a study exploring which possibilities partner procurement can have alternative solutions in the Swedish procurement act. This report deal exclusively with how tender documents should be formulated. Life cycle analysis, carbon dioxide emissions and strength calculations will not be executed.
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Dans un contexte climatique rigoureux comme celui du Québec, l’interaction entre la charge et le climat a une grande influence sur la performance des structures de chaussées flexibles (Doré et Zubeck, 2009). Pendant le dégel printanier, avec la fonte de la glace, la chaussée s’affaiblit et cet affaiblissement la rend vulnérable à la sollicitation par le trafic lourd ce qui accélère divers phénomènes de dégradation, notamment l’endommagement par fatigue et l’orniérage structural (Farcette, 2010). Afin de minimiser les effets des charges lourdes sur une chaussée affaiblie lors du printemps, les administrations routières choisissent souvent de limiter les charges par essieu ou par véhicule lors du dégel. L’objectif de ce projet est de développer un outil d’aide pour la gestion des restrictions de charge en période de dégel en fonction des données recueillies par les stations de météo routière. Deux sections expérimentales composées des mêmes matériaux mais avec des épaisseurs d’enrobés bitumineux différentes situées au Site Expérimental Routier de l’Université Laval (SERUL) ont été utilisées pour ce projet. Pour bien interpréter le comportement des structures, des jauges de déformations verticales et horizontales, des jauges de contraintes, des jauges de teneur en eau et des thermistances ont été installées dans chaque couche. Pour solliciter mécaniquement la chaussée, un déflectomètre à masse tombante (FWD) a été utilisé. Les résultats obtenus ont permis de de bien comprendre les mécanismes d’affaiblissement de la chaussée durant la période de dégel. Ils ont aussi montré que l’application d’une période de restriction de charge pendant la période de dégel permettait d’avoir un gain sur la durée de vie de la chaussée, cette période de restriction est donc justifiée et efficace. Néanmoins, pour une meilleure gestion du réseau routier, de nouveaux critères pour mieux déterminer la période de restriction de charges sont proposés.
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Purpose – The purpose of this paper is to identify the key determinants of organisational silence from the perspective of non-standard workers (NSWs). The study focuses on three research themes: first, analysing the experiences motivating NSWs to remain silent; second, analysing the role of the NSW life cycle in the motivation to remain silent, the final theme is evaluation of the impact on organisational voice of an organisation employing a workforce in which NSWs and standard workers (SWs) are blended. Design/methodology/approach – The study utilises a phenomenological approach, as defined by Van Manen (2007), to collect and analyse the phenomenon of organisational silence from the perspective of NSWs. The NSWs are defined as individuals operating via Limited Liability UK registered companies created for the purpose of delivering services to organisations via a contract of services. This study employed a combination of phenomenology and hermeneutics to collect and analyse the data collected from the NSWs using semi-structured interviews (Lindseth and Norberg, 2004). Findings – The study concludes with three core findings. NSWs experience similar motivational factors to silence as experienced by standard workers (SWs). The key differential between a SW and a NSW is the role of defensive silence as a dominant motivator for a start-up NSW. The study identified that the reasons for this is that new NSWs are defensive to protect their reputation for any future contract opportunities. In addition, organisations are utilising the low confidence of new start up NSWs to suppress the ability of NSWs to voice. The research indicates how experienced NSWs use the marketing stage of their life cycle to establish voice mechanisms. The study identified that NSWs, fulfiling management and supervisory roles for organisations, are supporting/creating climates of silence through their transfer of experiences as SWs prior to becoming NSWs. Research limitations/implications – This study is a pilot study, and the findings from this study will be carried forward into a larger scale study through engagement with further participants across a diverse range of sectors. This study has identified that there is a need for further studies on organisational silence and NSWs to analyse more fully the impact of silence on the individuals and the organisation itself. A qualitative phenomenological hermeneutical study is not intended to be extrapolated to provide broad trends. The focus of the phenomenological hermeneutic research methodology is on describing and analysing the richness and depth of the NSW’s experiences of silence in organisational settings. Originality/value – This paper draws together the studies of worker classification, motivators for organisational silence, and the impact of blending SWs and NSWs in an organisational setting. The study demonstrates that academic research to date has focused predominantly on SWs to the exclusion of the 1.5 million, and growing, NSWs in the UK. This study examines these under-represented workers to analyse the participants’ experiences of organisational silence, and its consequences in organisational settings, demonstrating a need for further studies.
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Inadequate final disposal of municipal solid waste (MSW) is associated with significant greenhouse gas (GHG) emission, environmental, health and safety issues, space consumption, public health and developmental issues in general. The environmental impact of waste is mostly felt in developing countries, inadequate waste management and treatment solution, inadequate policies and outdated practices are some of the factors leading to the significantly high final disposal of waste in dumps in developing countries. Brazil and other developing countries are changing the status quo by adopting polices that will adequately address this problem of inadequate waste management and disposal. Life cycle analysis (LCA) identifies the potential environmental impact of a product though environmental impact assessment, International Organization for Standardization (ISO) created the ISO 14040 and ISO 14044 to serve as principle guidelines for conducting LCA. Various waste treatment solution was applied to identify the waste management solution with the least Global warming potential (GWP) for treating the MSW generated from the city of Rio de Janerio, while reducing significantly final waste disposed in landfill.
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Relatório de estágio para obtenção do grau de Mestre em Engenharia Civil na Área de Especialização de Edificações
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European sea bass, Dicentrarchus labrax, is a highly valuable species in Europe, both for aquaculture in the Mediterranean Sea and for commercial and recreational fisheries in the North East Atlantic Ocean. Subjected to increasing fishing pressure, the wild population has recently experienced significant recruitment fluctuation as well as a northward extension of its distribution area in the North Sea. While the nature of the ecological and/or physiological processes involved remains unresolved, ontogenetic habitat shifts and adult site fidelity could increase the species’ vulnerability to climate change and overfishing. As managers look for expert information to propose management scenarios leading to sustainable exploitation, exploratory modelling appears to be a cost-efficient approach to enhance the understanding of recruitment dynamics and the spatio-temporal scales over which fish populations function. A conceptual modelling framework and its specific data requirements are discussed to tackle some sound ecological questions regarding this species. We consequently provide an updated review of current knowledge on bass population structure, biology and ecology. This paper will hence be particularly valuable to develop spatially-explicit models of European sea bass dynamics under environmental and anthropogenic forcing. Knowledge gaps requiring further research efforts are also reported.
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Part 11: Reference and Conceptual Models
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Tese (doutorado)—Universidade de Brasília, Instituto de Ciências Biológicas, Departamento de Botânica, Programa de Pós-Graduação em Botânica, 2016.
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Tese de Doutoramento, Ciências do Mar, da Terra e do Ambiente, Faculdade de Ciências e Tecnologia, Universidade do Algarve, 2015
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Dissertação (mestrado)—Universidade de Brasília, Faculdade de Arquitetura e Urbanismo, Programa de Pós-Graduação em Arquitetura e Urbanismo, 2016.
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The attention on green building is driven by the desire to reduce a building’s running cost over its entire life cycle. However, with the use of sustainable technologies and more environmentally friendly products in the building sector, the construction industry contributes significantly to sustainable actions of our society. Different certification systems have entered the market with the aim to measure a building’s sustainability. However, each system uses its own set of criteria for the purpose of rating. The primary goal of this study is to identify a comprehensive set of criteria for the measurement of building sustainability, and therefore to facilitate the comparison of existing rating methods. The collection and analysis of the criteria, identified through a comprehensive literature review, has led to the establishment of two additional categories besides the 3 pillars of sustainability. The comparative analyses presented in this thesis reveal strengths and weaknesses of the chosen green building certification systems - LEED, BREEAM, and DGNB.
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The rapid growth of virtualized data centers and cloud hosting services is making the management of physical resources such as CPU, memory, and I/O bandwidth in data center servers increasingly important. Server management now involves dealing with multiple dissimilar applications with varying Service-Level-Agreements (SLAs) and multiple resource dimensions. The multiplicity and diversity of resources and applications are rendering administrative tasks more complex and challenging. This thesis aimed to develop a framework and techniques that would help substantially reduce data center management complexity. We specifically addressed two crucial data center operations. First, we precisely estimated capacity requirements of client virtual machines (VMs) while renting server space in cloud environment. Second, we proposed a systematic process to efficiently allocate physical resources to hosted VMs in a data center. To realize these dual objectives, accurately capturing the effects of resource allocations on application performance is vital. The benefits of accurate application performance modeling are multifold. Cloud users can size their VMs appropriately and pay only for the resources that they need; service providers can also offer a new charging model based on the VMs performance instead of their configured sizes. As a result, clients will pay exactly for the performance they are actually experiencing; on the other hand, administrators will be able to maximize their total revenue by utilizing application performance models and SLAs. This thesis made the following contributions. First, we identified resource control parameters crucial for distributing physical resources and characterizing contention for virtualized applications in a shared hosting environment. Second, we explored several modeling techniques and confirmed the suitability of two machine learning tools, Artificial Neural Network and Support Vector Machine, to accurately model the performance of virtualized applications. Moreover, we suggested and evaluated modeling optimizations necessary to improve prediction accuracy when using these modeling tools. Third, we presented an approach to optimal VM sizing by employing the performance models we created. Finally, we proposed a revenue-driven resource allocation algorithm which maximizes the SLA-generated revenue for a data center.
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Thanks to the advanced technologies and social networks that allow the data to be widely shared among the Internet, there is an explosion of pervasive multimedia data, generating high demands of multimedia services and applications in various areas for people to easily access and manage multimedia data. Towards such demands, multimedia big data analysis has become an emerging hot topic in both industry and academia, which ranges from basic infrastructure, management, search, and mining to security, privacy, and applications. Within the scope of this dissertation, a multimedia big data analysis framework is proposed for semantic information management and retrieval with a focus on rare event detection in videos. The proposed framework is able to explore hidden semantic feature groups in multimedia data and incorporate temporal semantics, especially for video event detection. First, a hierarchical semantic data representation is presented to alleviate the semantic gap issue, and the Hidden Coherent Feature Group (HCFG) analysis method is proposed to capture the correlation between features and separate the original feature set into semantic groups, seamlessly integrating multimedia data in multiple modalities. Next, an Importance Factor based Temporal Multiple Correspondence Analysis (i.e., IF-TMCA) approach is presented for effective event detection. Specifically, the HCFG algorithm is integrated with the Hierarchical Information Gain Analysis (HIGA) method to generate the Importance Factor (IF) for producing the initial detection results. Then, the TMCA algorithm is proposed to efficiently incorporate temporal semantics for re-ranking and improving the final performance. At last, a sampling-based ensemble learning mechanism is applied to further accommodate the imbalanced datasets. In addition to the multimedia semantic representation and class imbalance problems, lack of organization is another critical issue for multimedia big data analysis. In this framework, an affinity propagation-based summarization method is also proposed to transform the unorganized data into a better structure with clean and well-organized information. The whole framework has been thoroughly evaluated across multiple domains, such as soccer goal event detection and disaster information management.