The Experts below are selected from a list of 1583697 Experts worldwide ranked by ideXlab platform
Steven B Shooter - One of the best experts on this subject based on the ideXlab platform.
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product family Design knowledge representation aggregation reuse and analysis
Ai Edam Artificial Intelligence for Engineering Design Analysis and Manufacturing, 2007Co-Authors: Jyotirmaya Nanda, Matt R. Bohm, Robert Stone, Henri J Thevenot, Timothy W Simpson, Steven B ShooterAbstract:A flexible Information model for systematic development and deployment of product families during all phases of the product realization process is crucial for product-oriented organizations. In current practice, Information captured while Designing products in a family is often incomplete, unstructured, and is mostly proprietary in nature, making it difficult to index, search, refine, reuse, distribute, browse, aggregate, and analyze knowledge across heterogeneous organizational Information systems. To this end, we propose a flexible knowledge management framework to capture, reorganize, and convert both linguistic and parametric product family Design Information into a unified network, which is called a networked bill of material ~NBOM! using formal concept analysis ~FCA!; encode the NBOM as a cyclic, labeled graph using the Web Ontology Language ~OWL! that Designers can use to explore, search, and aggregate Design Information across different phases of product Design as well as across multiple products in a product family; and analyze the set of products in a product family based on both linguistic and parametric Information. As part of the knowledge management framework, a PostgreSQL database schema has been formulated to serve as a central Design repository of product Design knowledge, capable of housing the instances of the NBOM. Ontologies encoding the NBOM are utilized as a metalayer in the database schema to connect the Design artifacts as part of a graph structure. Representing product families by preconceived common ontologies shows promise in promoting component sharing, and assisting Designers search, explore, and analyze linguistic and parametric product family Design Information. An example involving a family of seven one-time-use cameras with different functions that satisfy a variety of customer needs is presented to demonstrate the implementation of the proposed framework.
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a model for the flow of Design Information in product development
Engineering With Computers, 2000Co-Authors: Steven B Shooter, Walid Keirouz, Simon Szykman, Steven J. FenvesAbstract:The complexity of modern products and Design tools has made the exchange of Design Information more complex. It is widely recognised that the seamless capture, storage, and retrieval of Design Information is one of the major challenges for the next generation of computer aided Design tools. This paper presents a model for the flow of Design Information that is sufficiently formal to eventually support a semantics-based approach for developing Information exchange standards. The model classifies Design Information into various types, organises these types into Information states and levels of abstraction, and identifies the various transformations that operate within and between the Information states. The model’s ability to support a variety of Design process models is illustrated by applying it to the Systems Integration of Manufacturing Applications (SIMA) Design process model, and the model is then applied to a Design example.
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a model for Information flow in Design
2000Co-Authors: Steven B Shooter, Walid Keirouz, Steven J. FenvesAbstract:ABSTRACT The complexity of modern products and Design tools hascomplicated the exchange of Design Information. It is widelyrecognized that the capture, storage, and retrieval of DesignInformation is one of the major challenges for the nextgeneration of computer aided Design tools. This paper presentsa model for the flow of Design Information that supports asemantics-based approach for developing Information exchangestandards. The model classifies Design Information into varioustypes, organizes these types into Information states and levels ofabstraction, and identifies the various transformations thatoperate between the Information states. The model is thenapplied to an example of a transmission for a cordless drill.1 INTRODUCTIONTraditionally, Design was undertaken by a small team ofDesigners operating out of a single location. The team capturedDesign Information as notes and sketches in logbooks and asDesign drawings. As a result, team members could easilyexchange the relevant Design Information.The exchange of Design Information is now much moredifficult given the complexity of modern products and Designprocesses. At present, product realization may be acollaborative effort among teams operating at differentgeographical locations. Design Information now comes inmany forms and is generated or transformed by a wide varietyof computer-based tools. However, these tools are typicallyused during the latter stages of Design and are mostly geometry-oriented. They store Information that is the outcome of Designactivities with little regard to capturing the Informationproduced during the development of the Design. Furthermore,these tools essentially limit exchange to geometry-relatedInformation. The shortcomings of these tools provide fertileground for misunderstandings between participants in a productrealization effort.The inadequacy of the current generation of computer-based Design tools is apparent in the popular drafting packages.These packages implicitly assume a bottom-up approach toDesign and require detailed geometric Information aboutcomponents before these components can be combined intocomplete systems. As a result, these tools provide little supportfor top-down concept ideation.It is anticipated that the next generation of Design tools willaddress these shortcomings and will operate throughout theentire Design life cycle of an artifact including its maintenance,upgrades, etc. The OpenADE project at the National Instituteof Standards and Technology (NIST) is addressing DesignInformation interchange and agent interoperability issues withinthe context of a “Collaborative Design Framework” (Lyons etal., 1999, Angster et. al, 1998). In such a framework, shown inFigure 1, distributed teams of Designers, production engineers,etc., develop products. These teams use heterogeneous
Courbon Franck - One of the best experts on this subject based on the ideXlab platform.
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Practical Partial Hardware Reverse Engineering Analysis
'Organisation for Economic Co-Operation and Development (OECD)', 2020Co-Authors: Courbon FranckAbstract:Reverse engineering typically requires expensive equipment, skilled technicians, time, a cross section of the component to be sliced out, and a dedicated reconstruction software. In this paper, we present a low-cost alternative, combining fast frontside sample preparation, electron microscopy imaging, error-free standard cell recognition, as well as within and between-die Standard Cell Statistical Analysis (SCSA). Step-by-step, we depict the process to access the transistor's drain/source area; to acquire the full area of a single chip layer; to adapt pattern recognition for standard cells and to analyze the standard cell width, local / global location and occurrences number. The inner workings of each step are accompagnied by results on 45-65nm FCBGA devices enabling to locate specific areas (e.g. registers, hardware accelerator). We particularly point out the importance of such Design Information extraction for local fault injection and hardware assurance. The primary goal is to analyse how much Design Information of a complex integrated circuit can be retrieved with minimal costs and without outsourcing
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Practical Partial Hardware Reverse Engineering Analysis
'Organisation for Economic Co-Operation and Development (OECD)', 2020Co-Authors: Courbon FranckAbstract:Funder: Isaac Newton Trust; doi: https://doi.org/10.13039/501100004815Abstract: Reverse engineering typically requires expensive equipment, skilled technicians, time, a cross section of the component to be sliced out and a dedicated reconstruction software. In this paper, we present a low-cost alternative, combining fast frontside sample preparation, electron microscopy imaging, error-free standard cell recognition and within and between-die standard cell statistical analysis (SCSA). Step-by-step, we depict the process to access the transistor’s drain/source area, to acquire the full area of a single chip layer, to adapt pattern recognition for standard cells and to analyze the standard cell width, local/global location and occurrences number. The inner workings of each step are accompanied by results on 45–65-nm FCBGA devices enabling to locate specific areas (e.g. registers, hardware accelerator). We particularly point out the importance of such Design Information extraction for local fault injection and hardware assurance. The primary goal is to analyze how much Design Information of a complex integrated circuit can be retrieved with minimal costs and without outsourcing
Timothy W Simpson - One of the best experts on this subject based on the ideXlab platform.
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product family Design knowledge representation aggregation reuse and analysis
Ai Edam Artificial Intelligence for Engineering Design Analysis and Manufacturing, 2007Co-Authors: Jyotirmaya Nanda, Matt R. Bohm, Robert Stone, Henri J Thevenot, Timothy W Simpson, Steven B ShooterAbstract:A flexible Information model for systematic development and deployment of product families during all phases of the product realization process is crucial for product-oriented organizations. In current practice, Information captured while Designing products in a family is often incomplete, unstructured, and is mostly proprietary in nature, making it difficult to index, search, refine, reuse, distribute, browse, aggregate, and analyze knowledge across heterogeneous organizational Information systems. To this end, we propose a flexible knowledge management framework to capture, reorganize, and convert both linguistic and parametric product family Design Information into a unified network, which is called a networked bill of material ~NBOM! using formal concept analysis ~FCA!; encode the NBOM as a cyclic, labeled graph using the Web Ontology Language ~OWL! that Designers can use to explore, search, and aggregate Design Information across different phases of product Design as well as across multiple products in a product family; and analyze the set of products in a product family based on both linguistic and parametric Information. As part of the knowledge management framework, a PostgreSQL database schema has been formulated to serve as a central Design repository of product Design knowledge, capable of housing the instances of the NBOM. Ontologies encoding the NBOM are utilized as a metalayer in the database schema to connect the Design artifacts as part of a graph structure. Representing product families by preconceived common ontologies shows promise in promoting component sharing, and assisting Designers search, explore, and analyze linguistic and parametric product family Design Information. An example involving a family of seven one-time-use cameras with different functions that satisfy a variety of customer needs is presented to demonstrate the implementation of the proposed framework.
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product family Design knowledge representation integration and reuse
Information Reuse and Integration, 2005Co-Authors: Jyotirmaya Nanda, Henri J Thevenot, Timothy W SimpsonAbstract:Product Design Information captured by current software systems in proprietary data structures makes it difficult to index, search, refine, reuse, distribute, browse, and aggregate Design Information across heterogeneous organizational Information systems. Towards this end, a flexible knowledge management system for systematic development, deployment and management of multiple product families is critical. In this paper we propose a methodology to (1) capture and reorganize component Design Information as a graph called network bill of material (NBOM) to facilitate Design Information management for a family of products and (2) represent and store Design Information using ontologies that promote sharing and reuse of components for platform-based product realization. In the proposed methodology, the components and products of the product family are represented as a complete lattice structure using formal concept analysis (FCA). The NBOM and component Designs are represented using Web ontology language (OWL). An example of one-time-use cameras is presented to demonstrate the proposed methodology.
Peter Demian - One of the best experts on this subject based on the ideXlab platform.
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Building Information Management (BIM) and blockchain (BC) for sustainable building Design Information management framework
Electronics, 2019Co-Authors: Zhen Liu, Mohamed Osmani, Lijun Jiang, Peter DemianAbstract:At present, sustainable Design is experiencing energy consumption and cost-effectiveness challenges in the building industry. A recent body of literature argues that the development of emerging smart digital technologies, such as Building Information Management (BIM) and blockchain (BC), offer immediate benefits to the industry. However, the current application of BIM and BC in the sustainable Design and construction process focuses on smart energy and construction management, with little attention to addressing challenges for applying BIM to sustainable Design and proposing strategies in terms of the usability of these technologies in the management of building construction projects. Therefore, this paper sets out to explore the potential roles of an integrated BIM and BC approach for sustainable building Design Information management. The first attempt is presented to use BC aided BIM for sustainable building Design coordination and collaboration in multiple building stages. BC has the potential to address challenges that hinder the industry from using BIM for sustainable Design, which has been unearthed. An innovative BC enhanced transaction process in BIM is required for sustainable building development. Roles of a user level driven smart contract system of BC can be used to enhance BIM system in the sustainable buildings process. The role of BC is primarily at user level driven smart contracts and their record value exchange capabilities. A user level (BIM stakeholders) driven BC technology for transaction in BIM process flow is revealed, and the user level (sustainable building Design project stakeholders/BIM clients) driven and the smart contract enabled BIM+ BC architecture to address challenges of BIM for sustainable Design has been further circulated according to the literature. Subsequently, a conceptual architecture of BIM + BC for Sustainable Building Design Information Management Framework in building project management has been proposed, validated, and refined. The Framework has two level encompassing structures and flow. The high-level framework is focused on strategy, whilst the low-level framework demonstrates technical components in detail. This architecture supporting project stakeholders in managing Information, has the potential to achieve and ensure the realization of sustainable Design goals through the interactive realization of smart contracts integrated into the user level driven BIM + BC system and its recording value exchange function through three user-driven levels, namely user, system, and transaction.
Jyotirmaya Nanda - One of the best experts on this subject based on the ideXlab platform.
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product family Design knowledge representation aggregation reuse and analysis
Ai Edam Artificial Intelligence for Engineering Design Analysis and Manufacturing, 2007Co-Authors: Jyotirmaya Nanda, Matt R. Bohm, Robert Stone, Henri J Thevenot, Timothy W Simpson, Steven B ShooterAbstract:A flexible Information model for systematic development and deployment of product families during all phases of the product realization process is crucial for product-oriented organizations. In current practice, Information captured while Designing products in a family is often incomplete, unstructured, and is mostly proprietary in nature, making it difficult to index, search, refine, reuse, distribute, browse, aggregate, and analyze knowledge across heterogeneous organizational Information systems. To this end, we propose a flexible knowledge management framework to capture, reorganize, and convert both linguistic and parametric product family Design Information into a unified network, which is called a networked bill of material ~NBOM! using formal concept analysis ~FCA!; encode the NBOM as a cyclic, labeled graph using the Web Ontology Language ~OWL! that Designers can use to explore, search, and aggregate Design Information across different phases of product Design as well as across multiple products in a product family; and analyze the set of products in a product family based on both linguistic and parametric Information. As part of the knowledge management framework, a PostgreSQL database schema has been formulated to serve as a central Design repository of product Design knowledge, capable of housing the instances of the NBOM. Ontologies encoding the NBOM are utilized as a metalayer in the database schema to connect the Design artifacts as part of a graph structure. Representing product families by preconceived common ontologies shows promise in promoting component sharing, and assisting Designers search, explore, and analyze linguistic and parametric product family Design Information. An example involving a family of seven one-time-use cameras with different functions that satisfy a variety of customer needs is presented to demonstrate the implementation of the proposed framework.
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product family Design knowledge representation integration and reuse
Information Reuse and Integration, 2005Co-Authors: Jyotirmaya Nanda, Henri J Thevenot, Timothy W SimpsonAbstract:Product Design Information captured by current software systems in proprietary data structures makes it difficult to index, search, refine, reuse, distribute, browse, and aggregate Design Information across heterogeneous organizational Information systems. Towards this end, a flexible knowledge management system for systematic development, deployment and management of multiple product families is critical. In this paper we propose a methodology to (1) capture and reorganize component Design Information as a graph called network bill of material (NBOM) to facilitate Design Information management for a family of products and (2) represent and store Design Information using ontologies that promote sharing and reuse of components for platform-based product realization. In the proposed methodology, the components and products of the product family are represented as a complete lattice structure using formal concept analysis (FCA). The NBOM and component Designs are represented using Web ontology language (OWL). An example of one-time-use cameras is presented to demonstrate the proposed methodology.
