9 research outputs found

    A Practical Review to Support the Implementation of Smart Solutions within Neighbourhood Building Stock

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    The construction industry has witnessed an increase in the use of digital tools and smart solutions, particularly in the realm of building energy automation. While realising the potential benefits of smart cities, a broader scope of smart initiatives is required to support the transition from smart buildings towards smart neighbourhoods, which are considered critical urban development units. To support the interplay of smart solutions between buildings and neighbourhoods, this study aimed to collect and review all the smart solutions presented in existing scientific articles, the technical literature, and realised European projects. These solutions were classified into two main sections, buildings and neighbourhoods, which were investigated through five domains: building-energy-related uses, renewable energy sources, water, waste, and open space management. The quantitative outcomes demonstrated the potential benefits of implementing smart solutions in areas ranging from buildings to neighbourhoods. Moreover, this research concluded that the true enhancement of energy conservation goes beyond the building’s energy components and can be genuinely achieved by integrating intelligent neighbourhood elements owing to their strong interdependencies. Future research should assess the effectiveness of these solutions in resource conservation

    AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives

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    In theory, building automation and management systems (BAMSs) can provide all the components and functionalities required for analyzing and operating buildings. However, in reality, these systems can only ensure the control of heating ventilation and air conditioning system systems. Therefore, many other tasks are left to the operator, e.g. evaluating buildings’ performance, detecting abnormal energy consumption, identifying the changes needed to improve efficiency, ensuring the security and privacy of end-users, etc. To that end, there has been a movement for developing artificial intelligence (AI) big data analytic tools as they offer various new and tailor-made solutions that are incredibly appropriate for practical buildings’ management. Typically, they can help the operator in (i) analyzing the tons of connected equipment data; and; (ii) making intelligent, efficient, and on-time decisions to improve the buildings’ performance. This paper presents a comprehensive systematic survey on using AI-big data analytics in BAMSs. It covers various AI-based tasks, e.g. load forecasting, water management, indoor environmental quality monitoring, occupancy detection, etc. The first part of this paper adopts a well-designed taxonomy to overview existing frameworks. A comprehensive review is conducted about different aspects, including the learning process, building environment, computing platforms, and application scenario. Moving on, a critical discussion is performed to identify current challenges. The second part aims at providing the reader with insights into the real-world application of AI-big data analytics. Thus, three case studies that demonstrate the use of AI-big data analytics in BAMSs are presented, focusing on energy anomaly detection in residential and office buildings and energy and performance optimization in sports facilities. Lastly, future directions and valuable recommendations are identified to improve the performance and reliability of BAMSs in intelligent buildings

    Fehlercharakterisierung zuverlässiger Schaltungen im Selbsttest

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    Hochintegrierte Schaltungen können immer kleiner, höher getaktet und energieeffizienter hergestellt werden, allerdings können bedingt durch diese technologischen Trends auch vermehrt Schwachstellen im System entstehen. Diese Schwachstellen führen oft während des Produktionstests nicht zu einem Fehlverhalten der Schaltung, während des Betriebs allerdings droht durch die steigende Anfälligkeit gegenüber intrinsischen und äußeren Störeinflüssen sowie Alterungseffekten ein vorzeitiger Ausfall der Schaltung. Solche Frühausfälle werden „Early-Life Fehler“ genannt und können mit einem Standard- Test ohne weitere Anpassungen nicht erkannt werden. Indikatoren für einen Frühausfall können intermittierende Fehler, aber auch kleine Verzögerungsfehler sein. In dieser Arbeit wird ein Selbsttest vorgestellt, der eine Fehlercharakterisierung zur Erkennung von Systemschwachstellen und Vermeidung von Frühausfällen, speziell solche, die sich als intermittierender Fehler oder kleiner Verzögerungsfehler auswirken, mit geringem Hardware- und Zeitaufwand mittels eines Standard-Tests ermöglicht. Hierzu wird im Selbsttest zunächst zwischen permanenten und nicht-permanenten Fehlern unterschieden und eine Klassifikation der nicht- permanenten Fehler mit Hilfe eines voran geschalteten Diagnoseverfahrens und Bayesschen Berechnungen durchgeführt. Hierdurch lässt sich die Produktqualität ohne zusätzliche Ausbeuteverluste erhöhen. Zusätzlich wird ein Test mit erhöhter Betriebsfrequenz vorgestellt, der im Selbsttest kleine Verzögerungsfehler erkennt.As a result of the fact, that todays integrated circuits have smaller features sizes, higher frequencies and are more energy efficient, weak spots can occur in the system. These weak spots can be undetected by the production test, but during system operation they can lead to hard failures, because of increasing susceptibility to intrinsic and external disturbances or aging effects. This early system breakdown is called „early-life failure“ and cannot be detected by a standard test without any adjustments. Indicators of early-life failures could be intermittent faults and also small delay defects. In this thesis a built-in self-test is presented, which characterizes faulty behavior to detect weak spots and avoid early-life failures, especially caused by intermittent faults or small delay defects, with low hardware and time overhead by using a standard test set. In a first step, the test procedure can distinguish between permanent and non-permanent faults. After that, a diagnosis process and Bayesian reasoning implement the classification of the non-permanent faults. With this procedure the product quality can be increased without additional yield loss. Furthermore a Faster-than-at-Speed-Test (FAST) will be introduced, which allows detecting SDDs in a built-in self-test environment without any changes in the ATPG flow.von Dipl.-Wirt.-Ing. Thomas Indlekofer ; Erster Gutachter: Prof. Dr. Sybille Hellebrand, Zweiter Gutachter: Prof. Dr. Ilia PolianTag der Verteidigung: 03.03.2016Fakultät für Elektrotechnik, Informatik und Mathematik der Universität Paderborn, Univ., Dissertation, 201

    Improvement of hardware reliability with aging monitors

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    NASA Tech Briefs Index, 1976

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    Abstracts of new technology derived from the research and development activities of the National Aeronautics and Space Administration are presented. Emphasis is placed on information considered likely to be transferrable across industrial, regional, or disciplinary lines. Subject matter covered includes: electronic components and circuits; electronic systems; physical sciences; materials; life sciences; mechanics; machinery; fabrication technology; and mathematics and information sciences

    PROCEEDINGS 5th PLATE Conference

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    The 5th international PLATE conference (Product Lifetimes and the Environment) addressed product lifetimes in the context of sustainability. The PLATE conference, which has been running since 2015, has successfully been able to establish a solid network of researchers around its core theme. The topic has come to the forefront of current (political, scientific & societal) debates due to its interconnectedness with a number of recent prominent movements, such as the circular economy, eco-design and collaborative consumption. For the 2023 edition of the conference, we encouraged researchers to propose how to extend, widen or critically re-construct thematic sessions for the PLATE conference, and the paper call was constructed based on these proposals. In this 5th PLATE conference, we had 171 paper presentations and 238 participants from 14 different countries. Beside of paper sessions we organized workshops and REPAIR exhibitions
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