443 research outputs found

    Design Transactions

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    Design Transactions presents the outcome of new research to emerge from ‘Innochain’, a consortium of six leading European architectural and engineering-focused institutions and their industry partners. The book presents new advances in digital design tooling that challenge established building cultures and systems. It offers new sustainable and materially smart design solutions with a strong focus on changing the way the industry thinks, designs, and builds our physical environment. Divided into sections exploring communication, simulation and materialisation, Design Transactions explores digital and physical prototyping and testing that challenges the traditional linear construction methods of incremental refinement. This novel research investigates ‘the digital chain’ between phases as an opportunity for extended interdisciplinary design collaboration. The highly illustrated book features work from 15 early-stage researchers alongside chapters from world-leading industry collaborators and academics

    Design Transactions: Rethinking Information for a New Material Age

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    Design Transactions presents the outcome of new research to emerge from ‘Innochain’, a consortium of six leading European architectural and engineering-focused institutions and their industry partners. The book presents new advances in digital design tooling that challenge established building cultures and systems. It offers new sustainable and materially smart design solutions with a strong focus on changing the way the industry thinks, designs, and builds our physical environment. Divided into sections exploring communication, simulation and materialisation, Design Transactions explores digital and physical prototyping and testing that challenges the traditional linear construction methods of incremental refinement. This novel research investigates ‘the digital chain’ between phases as an opportunity for extended interdisciplinary design collaboration. The highly illustrated book features work from 15 early-stage researchers alongside chapters from world-leading industry collaborators and academics

    Design Transactions

    Get PDF
    Design Transactions presents the outcome of new research to emerge from ‘Innochain’, a consortium of six leading European architectural and engineering-focused institutions and their industry partners. The book presents new advances in digital design tooling that challenge established building cultures and systems. It offers new sustainable and materially smart design solutions with a strong focus on changing the way the industry thinks, designs, and builds our physical environment. Divided into sections exploring communication, simulation and materialisation, Design Transactions explores digital and physical prototyping and testing that challenges the traditional linear construction methods of incremental refinement. This novel research investigates ‘the digital chain’ between phases as an opportunity for extended interdisciplinary design collaboration. The highly illustrated book features work from 15 early-stage researchers alongside chapters from world-leading industry collaborators and academics

    Educating the effective digital forensics practitioner: academic, professional, graduate and student perspectives

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    Over the years, digital forensics has become an important and sought-after profession where the gateway of training and education has developed vastly over the past decade. Many UK higher education (HE) institutions now deliver courses that prepare students for careers in digital forensics and, in most recent advances, cyber security. Skills shortages and external influences attributed within the field of cyber security, and its relationship as a discipline with digital forensics, has shifted the dynamic of UK higher education provisions. The implications of this now sees the route to becoming a digital forensic practitioner, be it in law enforcement or business, transform from on-the-job training to university educated, trained analysts. This thesis examined courses within HE and discovered that the delivery of these courses often overlooked areas such as mobile forensics, live data forensics, Linux and Mac knowledge. This research also considered current standards available across HE to understand whether educational programmes are delivering what is documented as relevant curriculum. Cyber security was found to be the central focus of these standards within inclusion of digital forensics, adding further to the debate and lack of distinctive nature of digital forensics as its own discipline. Few standards demonstrated how the topics, knowledge, skills and competences drawn were identified as relevant and effective for producing digital forensic practitioners. Additionally, this thesis analyses and discusses results from 201 participants across five stakeholder groups: graduates, professionals, academics, students and the public. These areas were selected due to being underdeveloped in existing literature and the crucial role they play in the cycle of producing effective practitioners. Analysis on stakeholder views, experiences and thoughts surrounding education and training offer unique insight, theoretical underpinnings and original contributions not seen in existing literature. For example, challenges, costs and initial issues with introducing graduates to employment for the employers and/or supervising practitioners, the lack of awareness and contextualisation on behalf of students and graduates towards what knowledge and skills they have learned and acquired on a course and its practical application on-the-job which often lead to suggestions of a lack of fundamental knowledge and skills. This is evidenced throughout the thesis, but examples include graduates: for their reflections on education based on their new on-the-job experiences and practices; professionals: for their job experiences and requirements, academics: for their educational practices and challenges; students: their initial expectations and views; and, the public: for their general understanding. This research uniquely captures these perspectives, bolstering the development of digital forensics as an academic discipline, along with the importance these diverse views play in the overall approach to delivering skilled practitioners. While the main contribution to knowledge within this thesis is its narrative focusing on the education of effective digital forensic practitioners and its major stakeholders, this thesis also makes additional contributions both academically and professionally; including the discussion, analysis and reflection of: - improvements for education and digital forensics topics for research and curriculum development; - where course offerings can be improved for institutions offering digital forensic degree programmes; - the need for further collaboration between industry and academia to provide students and graduates with greater understanding of the real-life role of a digital forensic practitioner and the expectations in employment; - continuous and unique challenges within both academia and the industry which digital forensics possess and the need for improved facilities and tool development to curate and share problem and scenario-based learning studies

    AN OBJECT-BASED MULTIMEDIA FORENSIC ANALYSIS TOOL

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    With the enormous increase in the use and volume of photographs and videos, multimedia-based digital evidence now plays an increasingly fundamental role in criminal investigations. However, with the increase, it is becoming time-consuming and costly for investigators to analyse content manually. Within the research community, focus on multimedia content has tended to be on highly specialised scenarios such as tattoo identification, number plate recognition, and child exploitation. An investigator’s ability to search multimedia data based on keywords (an approach that already exists within forensic tools for character-based evidence) could provide a simple and effective approach for identifying relevant imagery. This thesis proposes and demonstrates the value of using a multi-algorithmic approach via fusion to achieve the best image annotation performance. The results show that from existing systems, the highest average recall was achieved by Imagga with 53% while the proposed multi-algorithmic system achieved 77% across the select datasets. Subsequently, a novel Object-based Multimedia Forensic Analysis Tool (OM-FAT) architecture was proposed. The OM-FAT automates the identification and extraction of annotation-based evidence from multimedia content. Besides making multimedia data searchable, the OM-FAT system enables investigators to perform various forensic analyses (search using annotations, metadata, object matching, text similarity and geo-tracking) to help investigators understand the relationship between artefacts, thus reducing the time taken to perform an investigation and the investigator’s cognitive load. It will enable investigators to ask higher-level and more abstract questions of the data, then find answers to the essential questions in the investigation: what, who, why, how, when, and where. The research includes a detailed illustration of the architectural requirements, engines, and complete design of the system workflow, which represents a full case management system. To highlight the ease of use and demonstrate the system’s ability to correlate between multimedia, a prototype was developed. The prototype integrates the functionalities of the OM-FAT tool and demonstrates how the system would help digital investigators find pieces of evidence among a large number of images starting from the acquisition stage and ending in the reporting stage with less effort and in less time.The Higher Committee for Education Development in Iraq (HCED

    A Smart Products Lifecycle Management (sPLM) Framework - Modeling for Conceptualization, Interoperability, and Modularity

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    Autonomy and intelligence have been built into many of today’s mechatronic products, taking advantage of low-cost sensors and advanced data analytics technologies. Design of product intelligence (enabled by analytics capabilities) is no longer a trivial or additional option for the product development. The objective of this research is aimed at addressing the challenges raised by the new data-driven design paradigm for smart products development, in which the product itself and the smartness require to be carefully co-constructed. A smart product can be seen as specific compositions and configurations of its physical components to form the body, its analytics models to implement the intelligence, evolving along its lifecycle stages. Based on this view, the contribution of this research is to expand the “Product Lifecycle Management (PLM)” concept traditionally for physical products to data-based products. As a result, a Smart Products Lifecycle Management (sPLM) framework is conceptualized based on a high-dimensional Smart Product Hypercube (sPH) representation and decomposition. First, the sPLM addresses the interoperability issues by developing a Smart Component data model to uniformly represent and compose physical component models created by engineers and analytics models created by data scientists. Second, the sPLM implements an NPD3 process model that incorporates formal data analytics process into the new product development (NPD) process model, in order to support the transdisciplinary information flows and team interactions between engineers and data scientists. Third, the sPLM addresses the issues related to product definition, modular design, product configuration, and lifecycle management of analytics models, by adapting the theoretical frameworks and methods for traditional product design and development. An sPLM proof-of-concept platform had been implemented for validation of the concepts and methodologies developed throughout the research work. The sPLM platform provides a shared data repository to manage the product-, process-, and configuration-related knowledge for smart products development. It also provides a collaborative environment to facilitate transdisciplinary collaboration between product engineers and data scientists
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