Methodology for Designing Decision Support Systems for Visualising and Mitigating Supply Chain Cyber Risk from IoT Technologies

This paper proposes a methodology for designing decision support systems for visualising and mitigating the Internet of Things cyber risks. Digital technologies present new cyber risk in the supply chain which are often not visible to companies participating in the supply chains. This study investigates how the Internet of Things cyber risks can be visualised and mitigated in the process of designing business and supply chain strategies. The emerging DSS methodology present new findings on how digital technologies affect business and supply chain systems. Through epistemological analysis, the article derives with a decision support system for visualising supply chain cyber risk from Internet of Things digital technologies. Such methods do not exist at present and this represents the first attempt to devise a decision support system that would enable practitioners to develop a step by step process for visualising, assessing and mitigating the emerging cyber risk from IoT technologies on shared infrastructure in legacy supply chain systems

A Lisp environment for modelling distributed systems

QPL (Quasi Parallel Lisp) is a Lisp environment with extensions to support quasi-parallelism, designed for use in the modelling of distributed systems. It supports simulation and prototyping activities, as well as more general distributed working in Lisp. The environment integrates with other Lisp tools in a natural fashion to provide a rich environment for software architecture modelling. A base model for distributed systems is proposed, which provides explicit treatment of time and fairness issues. This model is appropriate for systems of logically distinct processes which communicate by message passing, and the nature of the computation at each process, based on a state transition model, is not tightly constrained. Systems that involve a variety of programming models and notations can therefore be constructed, and the use of declarative languages for network description is investigated. In this respect, QPL constitutes a case study in metalinguistic abstraction, and the techniques used to accomplish this in Lisp are identified. A fully operational implementation of QPL exists, and has been used to conduct a variety of modelling experiments. The QPL programming environment, itself a natural extension of the distributed model, provides effective support for problem solving activities. The kernel of a successor to QPL, which is implemented using on-the-fly conversion to continuation passing style, is also defined. This supports a relational style of network description, and has proven to be an excellent vehicle for exploring and teaching contemporary topics in programming languages. Both versions of QPL provide a rich source of ideas which will form the basis of future work.</p

L'énergie à découvert

L'énergie est devenue une question vitale pour les sociétés, le citoyen, l'humanité tout entière. Sujet scientifique, économique, politique et écologique majeur, elle suscite des débats, parfois violents, sur les choix à faire aujourd'hui et leurs conséquences pour l'avenir des hommes et de la planète. Mais, alors que se tient le grand débat national sur la transition énergétique, comment se forger une opinion objective sans connaître les données scientifiques les plus complètes sur les potentiels et les limites de chaque source d'énergie ? Ce livre les met enfin à la disposition du public. L'énergie, qu'est-ce que c'est ? Quelles sont les grandes lois physiques qui la gouvernent ? Comment la produire, la transporter, la stocker ? Le solaire, la biomasse, l'éolien, l'hydraulique sont-ils des solutions alternatives suffisantes ? Et quelle part leur réserver à l'avenir ? Les nombreux articles de ce livre (près de 130) proposent au citoyen des outils pour se faire une opinion face à ces questions. Physiciens, chimistes, biologistes, géophysiciens, environnementalistes, géographes, économistes, y précisent, chiffres et schémas à l'appui, la place respective des énergies fossiles, du nucléaire et des énergies renouvelables. Au-delà, ils expliquent quelles sont les perspectives offertes par la science sur le mix énergétique, le problème du stockage, l'amélioration de nos usages de l'énergie, ses impacts environnementaux et sanitaires

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