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    Author: Yves Gendrault
    Slides: PDF
    Presentation: Video

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    Author: Pierre Parrend
    Presentation: Video
    Keywords: Complex Systems, Engineering, System Dynamics, Evolutionary Algorithms, bio-inspired computation

    Abstract:
    The third Workshop of the 4P-Factory e-laboratory of the Complex System-Digital Campus features both fundational contributions as well as well-tested engineering approaches which leverage the lattest advances of Complex System Science for understanding, coordinating and building emergent artificial systems. This talk provides a rapid introduction to Complex System Engineering and an overview of the numerous tools this emerging field provides to the community of engineers and scientists for creating disrupting products and services.

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    Author: René Doursat, Professor of Complex Systems & Co-Director, Informatics Research Centre, School of Computing, Mathematics and Digital Technology, Manchester Metropolitan University, Manchester, UK
    Web page: http://doursat.free.fr

    Abstract:
    How do cells assemble together so precisely to form a living organism? How do social insects build intricate nests on their own? These two major examples of architectures without an architect, or “morphogenetic self-organisation”, constitute a great source of inspiration toward innovative technologies based on collective intelligence. In this context, my research aims to establish two-way bridges between computer models of biology and biological models of computing. Potentially impacting many domains, it fosters the development of virtual evo-devo experiments, swarm robotics, synthetic biology, and socio-technical networks. All these complex systems demand a new type of engineering attitude, one that only facilitates the emergence and evolution of functional structures, not directly specifies them.

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    Autor: Marion Gstalter, PhD Student, Grégoire Chabrol, Senior Lecturer at ECAM Strasbourg-Europe
    Slides: PDF
    Presentation: Video
    Keywords: Femtosecond laser pulses, glass, micro-welding, process industrialization

    Abstract
    We report on glass plates welding using femtosecond laser pulses. We use an industrial laser station including an Yb-laser generating 300 fs duration pulses at 500 kHz repetition rate. Welding seams are inscribed on optically contacted borosilicate thin plates by raster scanning parallel lines at 50 mm/s speed with 3 μJ pulse energy. The welding seams are characterized using optical microscopy, photoelasticimetry and tensile test to obtain information about the morphology, residual stress and tensile resistance of the samples. Development towards industrialization are also investigated.

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    Author: Jean Vieille
    Slides: PDF
    Presentation: Video

    Abstract
    Intelligence is a loosely defined concept, intrinsically bounded by the intellect of the entity who thinks about it, hidden in the complexity of the organism being considered.
    Artificial intelligence is a recent science that attempts to mimic or surpass human’s in a search for algorithms that would make computers smarter.
    Intelligence is often quoted in the context of industrial systems to recognize big data collecting and crushing capabilities to optimize processes, improve decision making.
    In these cases, intelligence is studied in human and computer sciences to design efficient education patterns of computing algorithms.
    We suggest to focus the study of intelligence exhibited by socio-technical systems such as industrial enterprises et networks in order to figure out what intelligence means for them, how it can be leveraged and developed for the good of these systems and their social, economic and environmental supra-systems.
    The report is a work in progress gathering 15 years of observation and research, not exposing conclusive statements. It aims to raise the interest of researchers and industrialists in the real challenge of information technologies and sciences of organization beside new technology hypes and trendy organization strategies. It will summarize or open discussion on the following points:
    • Nature and continuum of information
    • Place of intelligence in the information continuum, definitions,
    • How intelligence is manifested in nature
    • What is an intelligent enterprise?
    • How to assess enterprise intelligence?
    • How to develop enterprise intelligence?
    • Relevant science domains
    • Practical use of this report

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    Author: Claudia Eckert, Prof of Engineering and Innovation, the Open University
    Presentation: PDF Slides

    Abstract:
    Engineering design combines existing and innovative or new elements. There is a huge variation in the decree of reuse of existing design solution in engineering design projects ranging from small tweaks to complete new developments which incorporate standard parts. Most complex products, such a cars or aircraft have a very high percentage of existing components or solution principles. This has a profound effect on the engineering design processes. Throughout the process engineering designers have to handle information at varying decree of uncertainty and detail. Throughout engineering design processes requirements can still change and changes can affect parts of the product that have already been assumed to be finished. This makes engineering design processes extremely fluid as decisions are made and unmade until the end of the process. While the engineering design processes have real and objective existence, they are also very difficult to capture and express, as individuals only sees elements of the processes and prioritise different elements. This makes design processes difficult to understand and improvement, yet effective design processes are vital for industry to succeed.

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    Author: Pierre Parrend, Timothé Mazzucotelli, Florent Colin
    RESEARCH REPORT n°1, ARK:69427/03
    Saturday, 20th May, 2017
    4P-Factory E-Laboratory: the factory of the future

    Keywords:
    Design Structure Matrices; Security Information Systems Architecture; Software Security; Secure Software Development Methodologies; Security and privacy in Complex Systems; Security Metrics and Measurement

    Abstract:
    Building secure software is often seen as a task mainly focused on development and penetration testing. However, it requires ensuring that the system embeds robust architecture principles, on which security features and proper code can rely. Few solutions for creating and monitoring such architectures exist, and those existing are dedicated to mission- and life-critical systems. Mainstream technologies, such as web platforms, host ever increasing critical application and data, and need suitable tools for enforcing relevant architecture-level monitoring. We propose to apply the Design Structure Matrix (DSM) model to represent and analyze the structure of complex applications. DSM is both an efficient analysis tool and a convenient tool for visualising complex systems. It supports the translation of software architectures into graphs, which prove to be efficient tools for structural analysis. Guidelines for secure architectures are expressed, first qualitatively, then in a quantitative manner, as constraints on these graphs. The Archan tool for supporting DSM-based architecture monitoring is presented. Our approach is illustrated for pedagogical stakes using two toy examples, and validated on a middle-scale project for managing sensitive medical data. Archan thus enforces sound architectural principles, which are a pre-requisite for building secure systems.

    posted in CS-DC Research Reports read more
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    Author: Fabio Guigou, Pierre Collet, Pierre Parrend
    TECHNICAL REPORT n°69427/02
    Thursday 13th April, 2017
    4P-Factory E-Laboratory: the factory of the future

    Keywords:
    Time series, Symbolic representation, Anomaly detection, Pattern mining

    Abstract:
    The advent of the Big Data hype and the consistent recollection of event logs and real-time data from sensors, monitoring software and machine configuration has generated a huge amount of time-varying data in about every sector of the industry. Rule-based processing of such data has ceased to be relevant in many scenarios where anomaly detection and pattern mining have to be entirely accomplished by the machine. Since the early 2000s, the de-facto standard for representing time series has been the Symbolic Aggregate approXimation (SAX).

    In this document, we present a few algorithms using this representation for anomaly detection and motif discovery, also known as pattern mining, in such data. We propose a benchmark of anomaly detection algorithms using data from Cloud monitoring software.

    posted in CS-DC Technical Reports read more
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    Step 1: create your report using the CSDC latex template

    Step 2: send your report to Pierre Parrend parrend@unistra.fr, together with :

    Step 3: the reviews are performed as open peer-review exchange between the reviewers and the author(s) using a shared copy of the reference template for report review.
    Reviewers provide accept, major rework, minor rework or reject recommandations. Reviewers also confirm the status of research or technical reports.
    In case of major or minor rework, the improvements are made by the authors according to the requirements.

    Step 4: acceptation is performed at the unanimity of the reviewers. The report is then affected a unique ARK number and published on the CS-DC Forum.

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    Author: Jean Vieille
    TECHNICAL REPORT n°69427/01 - PDF File
    Tuesday 20th December, 2016
    4P-Factory E-Laboratory: the factory of the future

    Keywords:
    IT Transformation, Performance, Management, Investment, Entropy, Complexity, Viable System Model, Fractal Enterprise, Behaviour control, Conflict resolution

    Abstract:
    Increasing dynamics of industrial production (supply chain volatility, new products, re-engineering of facilities and organization) is both caused and addressed by information technologies. The IT world keeps inventing new technologies; analysts publish alarming maturity benchmarks; obsolescence is exacerbated by security concern, spare parts and skills shortage. Industrial IT needs to follow this ongoing transformation of enterprises and to take advantage of new IT technologies.
    Digital transformation has become a well-established motto that is often presented as a comprehensive IT re-engineering project. In reality, CEOs and CIOs are less enthusiastic considering the risks, cost and feasibility of such a big-bang approach. They perceive myths and hypes behind so-called new technologies, but wish to leverage real opportunities to provide the best informational support to operations and development of their enterprise given their available means.
    Shifting back the digital transformation project paradigm to an ongoing IT development process will make room for guiding efforts to support enterprise success and implement new technologies pragmatically and efficiently. In our thesis, performance management can help rationalizing this process if it links digital transformation process metrics to global enterprise achievement. Properly managed digital transformation performance shall help to prioritize requirements, set appropriate budgets based on acceptable latency of IT requirement fulfilment - digital/enterprise transformation ratio.
    This article describes a method for realizing this linkage by leveraging relevant systems, information and management theories: Control Chain Management Reference Model, Viable System Model, Performance cybernetics, Overall Interactional Effectiveness encompassing 6 Sigma, Lean management and Theory of Constraints.
    This article features a partial use case while this work is supported by limited implementations. It needs more experiments and developments to become a fully actionable.

    posted in CS-DC Technical Reports read more

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