Forum Session at the First International Conference on Service Oriented Computing (ICSOC03)

The First International Conference on Service Oriented Computing (ICSOC) was held in Trento, December 15-18, 2003. The focus of the conference ---Service Oriented Computing (SOC)--- is the new emerging paradigm for distributed computing and e-business processing that has evolved from object-oriented and component computing to enable building agile networks of collaborating business applications distributed within and across organizational boundaries. Of the 181 papers submitted to the ICSOC conference, 10 were selected for the forum session which took place on December the 16th, 2003. The papers were chosen based on their technical quality, originality, relevance to SOC and for their nature of being best suited for a poster presentation or a demonstration. This technical report contains the 10 papers presented during the forum session at the ICSOC conference. In particular, the last two papers in the report ere submitted as industrial papers

SEIS: Insight's Seismic Experiment for Internal Structure of Mars.

By the end of 2018, 42 years after the landing of the two Viking seismometers on Mars, InSight will deploy onto Mars' surface the SEIS (Seismic Experiment for Internal Structure) instrument; a six-axes seismometer equipped with both a long-period three-axes Very Broad Band (VBB) instrument and a three-axes short-period (SP) instrument. These six sensors will cover a broad range of the seismic bandwidth, from 0.01 Hz to 50 Hz, with possible extension to longer periods. Data will be transmitted in the form of three continuous VBB components at 2 sample per second (sps), an estimation of the short period energy content from the SP at 1 sps and a continuous compound VBB/SP vertical axis at 10 sps. The continuous streams will be augmented by requested event data with sample rates from 20 to 100 sps. SEIS will improve upon the existing resolution of Viking's Mars seismic monitoring by a factor of ∼ 2500 at 1 Hz and ∼ 200 000 at 0.1 Hz. An additional major improvement is that, contrary to Viking, the seismometers will be deployed via a robotic arm directly onto Mars' surface and will be protected against temperature and wind by highly efficient thermal and wind shielding. Based on existing knowledge of Mars, it is reasonable to infer a moment magnitude detection threshold of M w ∼ 3 at 40 ∘ epicentral distance and a potential to detect several tens of quakes and about five impacts per year. In this paper, we first describe the science goals of the experiment and the rationale used to define its requirements. We then provide a detailed description of the hardware, from the sensors to the deployment system and associated performance, including transfer functions of the seismic sensors and temperature sensors. We conclude by describing the experiment ground segment, including data processing services, outreach and education networks and provide a description of the format to be used for future data distribution.Electronic supplementary materialThe online version of this article (10.1007/s11214-018-0574-6) contains supplementary material, which is available to authorized users

Micro and Desktop Factory Roadmap

Terms desktop and microfactory both refer to production equipment that is miniaturized down to the level where it can placed on desktop and manually moved without any lifting aids. In this context, micro does not necessarily refer to the size of parts produced or their features, or the actual size or resolution of the equipment. Instead, micro refers to a general objective of downscaling production equipment to the same scale with the products they are manufacturing. Academic research literature speculates with several advantages and benefits of using miniaturized production equipment. These range from reduced use of energy and other resources (such as raw material) to better operator ergonomics and from greater equipment flexibility and reconfigurability to ubiquitous manufacturing (manufacturing on-the-spot, i.e. manufacturing the end product where it is used). Academic research has also generated several pieces of equipment and application demonstrations, and many of those are described in this document. Despite of nearly two decades of academic research, wider industrial breakthrough has not yet taken place and, in fact, many of the speculated advantages have not been proven or are not (yet) practical. However, there are successful industrial examples including miniaturized machining units; robotic, assembly and process cells; as well as other pieces of desktop scale equipment. These are also presented in this document. Looking at and analysing the current state of micro and desktop production related academic and commercial research and development, there are notable gaps that should be addressed. Many of these are general to several fields, such as understanding the actual needs of industry, whereas some are specific to miniaturised production field. One such example is the size of the equipment: research equipment is often “too small” to be commercially viable alternative. However, it is important to seek the limits of miniaturisation and even though research results might not be directly adaptable to industrial use, companies get ideas and solution models from research. The field of desktop production is new and the future development directions are not clear. In general, there seems to be two main development directions for micro and desktop factory equipment: 1) Small size equipment assisting human operators at the corner of desk 2) Small size equipment forming fully automatic production lines (including line components, modules, and cells) These, and other aspects including visions of potential application areas and business models for system providers, are discussed in detail in this roadmap. To meet the visions presented, some actions are needed. Therefore, this document gives guidelines for various industrial user groups (end users of miniaturized production equipment, system providers/integrators and component providers) as well as academia for forming their strategies in order to exploit the benefits of miniaturized production. To summarise, the basic guidelines for different actors are: • Everyone: Push the desktop ideology and awareness of the technology and its possibilities. Market and be present at events where potential new fields get together. Tell what is available and what is needed. • Equipment end users: Specify and determine what is needed. Be brave to try out new ways of doing things. Think what is really needed – do not over specify. • System providers / integrators: Organize own operations and product portfolios so that supplying equipment fulfilling the end user specifications can be done profitably. • Component providers: Design and supply components which are cost-efficient and easy to integrate to and to take into use in desktop scale equipment. • Academia: Look further into future, support industrial sector in their shorter term development work and act as a facilitator for cooperation between different actors

On the orchestration of operations in flexible manufacturing

Tese de doutoramento em Engenharia Mecânica (Controlo e Gestão) apresentada à Faculdade de Ciências e Tecnologia da Universidade de CoimbraDomínio A capacidade de produzir bem é a chave da riqueza. Uma boa produção concretiza-se pela transformação competitiva de matérias-primas em produtos de qualidade para o mercado global. Tal transformação inclui uma série de operações coordenadas de modo a obter a produtividade que permite o aumento da competitividade. Embora algumas operações possam requerer pessoal especializado, a tendência é para uma crescente automatização. A coordenação das operações automatizadas é também automatizada (através de uma variedade de transportadores, comunicação digital, etc.). Contudo, e embora a produção seja automatizada, a configuração do equipamento é feita manualmente. Situação A necessidade de automatização foi inicialmente sentida e aplicada na produção de longas séries, como no caso da indústria automóvel. Com a necessidade de redução de custos e aumento de flexibilidade, a inclusão de máquinas/equipamentos controlados por computador, assim como de interligações por computadores/redes tem sido extensiva. O aumento de software nestes sistemas, as restrições físicas e as (indesejáveis) interconecções lógicas conduzem a um aumento da complexidade, que em empresas de produção em grande escala é obviado por especialistas. O aumento na procura de produtos personalizados e a rapidez para a sua comercialização determinam a necessidade de uma produção flexível. Contudo, a referida indesejável complexidade constitui um grande obstáculo para o recurso a soluções (semi)-automatizadas, e postos de trabalho (de alta qualidade) são deslocados para países de mão-de-obra mais barata. O caso mais difícil prende-se com a utilização de robôs (que é o tipo de máquina mais flexível) nas empresas mais flexíveis, como sejam as Pequenas e Médias Empresas (PMEs). Deste modo, as condições para a utilização de robôs (juntamente com outro tipo de equipamento) em PMEs (incluindo operações manuais e configuração) representam o maior desafio, uma vez que os sistemas técnicos têm de ser estruturados de forma a suportarem a desejada flexibilidade. À semelhança da incapacidade de uma boa gestão em compensar a falta de competência em actividades como a do comércio ou da investigação cientifica, as etapas de produção têm de ser apropriadamente construídas e mantidas. Estas últimas representam aquilo em que o produtor se deve concentrar e especializar. Assim, sejam quais forem os avanços que facilitem a produção, as práticas de produção competitiva deverão ser mantidas. Especificamente, processos de trabalho com conhecimentos valiosos não devem ser prejudicados por detalhes técnicos irrelevantes. Novas tecnologias que possam aumentar a competitividade e/ou melhorar as condições de trabalho são obviamente desejáveis. Contudo, estas deverão ser combinadas com princípios de utilização simples para os quais os sistemas de produção são construídos. Tópico A complexidade surge tanto na operação como na coordenação, mas também na sua configuração manual. Esta é parcialmente compreensível e gerenciável, uma vez que uma determinada máquina ou processo de fabrico pode ser bastante avançado e complexo. Assim, a complexidade será local. Contudo, e em particular com software envolvido, dependências adhoc acidentais entre operações e coordenação tornam a situação actual mais difícil. Adicionalmente, a configuração de cada máquina e subsistema envolve uma variedade de interfaces de utilizador e ferramentas de configuração/programação. Uma vez mais, as grandes empresas podem contar com engenheiros altamente qualificados para lidar com estes problemas, enquanto que nas PMEs a situação fica facilmente ingovernável. Consideramos que podemos referir o problema como uma questão de orquestração. Orquestração é então definida como o arranjo, coordenação e gestão (semi-) automatizada de complexos sistemas de produção, incluindo as suas interacções em termos de comunicação e os seus serviços em termos de controlo por computador. O tópico pode então ser formulado como a procura de princípios óptimos, ou pelo menos exequíveis, para a orquestração de processos produtivos de pequena escala. Na realidade, existem aspectos fundamentais envolvidos que não representam apenas uma questão de engenharia a ser solucionada. Ao contrário, a situação requer uma abordagem científica com especial atenção para a recente tecnologia de suporte proveniente de outras áreas. Abordagem cientifica - A procura de princípios apropriados a PMEs para a orquestração de processos de produção não se presta a uma análise teórica, que por sua vez requer a utilização de modelos formais e derivação das soluções (sub-)óptimas e suas propriedades. Embora tivesse sido preferível obter provas formais de uma solução óptima, a complexidade do equipamento, o envolvimento de humanos, a considerável desorganização das PMEs, a necessidade de aderir às práticas industriais, assim como a variedade de PMEs existentes, dificultam uma abordagem teórica. Deste modo, foi seguida uma abordagem empírica. A dificultar o teste e a avaliação de uma abordagem empírica estão as possíveis variações no software envolvido, juntamente com a constante mudança que ocorre na produção em sistemas de produção flexíveis. Adicionalmente, a experimentação não pode ser conduzida em ambientes industriais (onde esta iria perturbar a produção). Assim sendo, as experiências deverão ser cuidadosamente seleccionadas e conduzidas em laboratório com recurso a equipamento industrial. Ainda assim, dadas as condições e singularidade de algum equipamento, não é fácil reproduzir os resultados noutros locais, o que constitui um problema para a validação e aceitação dos mesmos. Contudo, caso a solução sugerida em termos de princípios técnicos possa ser encontrada ou confirmada por resultados publicados de investigação independente, ou se técnicas relacionadas derem origem a novos produtos, tal pode desejavelmente contribuir para a validação de resultados. Isto é, embora resultados semelhantes para outros laboratórios sejam válidos, as diferenças actuais vão revelar a existência de variações que merecem estudo detalhado. Abordagem técnica - Os sistemas de produção flexíveis consistem em equipamento distribuído do ponto de vista computacional. Tipicamente, os diferentes aparelhos não foram concebidos para operarem em conjunto, mas devem, no entanto, ser de fácil configuração no local de trabalho. Uma abordagem básica passaria pela utilização de plataformas de software que suportassem componentes distribuídos de uma forma flexível. Contudo, as plataformas computacionais existentes podem não satisfazer com eficiência a necessidade do equipamento integrado, podendo revelar falta de robustez, nomeadamente nas interconecções. Deste modo, é necessário combinar com algum cuidado a tecnologia existente e confrontar as soluções sugeridas com as necessidades actuais das empresas. A abordagem seguida encontra-se dividida em quatro partes: 1. Suportar o acoplamento fraco entre componentes de forma a obter simples composição quando o equipamento é instalado ou substituído. As interacções necessitam ser assíncronas e baseadas em eventos através de interfaces bem definidas e auto-explicativas, contendo serviços definidos em termos de operações de produção (e não em termos de software interno). 2. Produzir princípios unificados para interacção com utilizador e interfaces, permitindo que utilizadores não especializados possam (re)configurar e (re)programar o sistema de produção. Uma interacção com o utilizador que permita combinar operações básicas que resultem num novo serviço, o qual deverá idealmente estar facilmente acessível através de interfaces programadas e manuais. 3. As abordagens baseadas em modelos têm-se revelado eficazes para desempenho e reutilização. No entanto, os modelos consistem em elevado nível de conhecimento e são dispendiosos de obter no âmbito da flexibilidade e desorganização das PMEs. Uma melhor abordagem é permitir a visibilidade do conhecimento envolvido numa determinada etapa em termos do processo de produção, de modo a que o operador transmita inteligência através de uma interface simples. 4. O software é por defeito não descritivo, assim como a execução sequencial de código imperativo não se compõe. Conhecimento no metanível e descrições declarativas deverão ser utilizadas, se possível, sem comprometimento dos itens anteriores. O objectivo é gerar software ao nível de aplicação, partindo de descrições de alto nível. A avaliação experimental deverá verificar técnicas individuais como tal, e os resultados deverão ser comparados com investigação relacionada. A abordagem global consiste em combinar os resultados das diferentes partes em princípios aplicáveis a futuros processos de produção das PMEs. Resultados O uso de arquitecturas orientadas a serviços (SOA) nas redes empresariais resolveu as limitações das arquitecturas orientadas a componentes no que diz respeito ao acoplamento através da standarização das interfaces, protocolos de comunicação, gestão de transacções, e segurança, entre outros. SOA ao nível do dispositivo é o resultado da importação de princípios SOA para os sistemas embebidos com algumas importantes diferenças, nomeadamente: inclusão de padrões de mensagens publish/subscribe, descoberta e descrição directa entre dispositivos, e modelos descritivos genéricos. Numa primeira fase, este trabalho validou os inúmeros trabalhos realizados sobre a aplicação de SOA ao nível do dispositivo em ambiente industrial com o teste num protótipo de célula de trabalho. De seguida foi levado a cabo um trabalho de avaliação comparativa entre duas SOA ao nível do dispositivo com estilos de arquitectura diferentes, servindo como base aos restantes desenvolvimentos da tese. Ainda que os resultados desta avaliação tenham mostrado o grande avanço proporcionado pelo uso de SOA, nomeadamente no que diz respeito ao desacoplamento entre componentes atingido, alguns aspectos críticos para o seu uso efectivo ainda estavam por resolver, designadamente: 1. A geração e a especificação dos serviços ao nível da tarefa 2 A definição de uma linguagem de orquestração adequada às SOA ao nível do dispositivo. Uma abordagem baseada em tarefas, quando relacionadas com processos de manufactura, consubstancia-se na capacidade de disponibilizar um mecanismo flexível (e amigável para o utilizador de uma PME) para a especificação das interfaces de rede. Os programas de robô são um elemento chave na flexibilidade do robô e este trabalho mostrou que o seu uso para a definição de interfaces vai elevar a fasquia da flexibilidade para o nível das interligações. A natureza procedimental de muitas linguagens de robô encaixa-se perfeitamente com o padrão de mensagens definido nas plataformas SOA, com uma mistura de variáveis de estado definidas a partir de variáveis do robô, e com acções definidas a partir de métodos da linguagem robô. A definição de uma linguagem de orquestração preencheu uma lacuna nos padrões de orquestração: sistemas conduzidos a eventos. Estes sistemas definem estados e transições de uma forma clara, potenciando a capacidade do utilizador de acompanhar o estado do sistema. Statecharts constituem um par adequado para a arquitectura SOA, uma vez que as transições de estado são baseadas em eventos, que no nosso caso são eventos na rede, mas os estados (e também as transições) incluem igualmente acções, que podem ser mapeadas para operações. A avaliação empírica efectuada mostrou uma previsível boa curva de aprendizagem para estes sistemas, em parte devido às vantagens associadas à sua semelhança a técnicas de automação tradicionais, como os Sequential Function Charts. Os resultados desta avaliação são positivos e justificam esforços suplementares para efectuar testes em aplicações reais, o que neste caso implica utilizadores de PME reais. Conclusões Três conclusões devem ser retiradas desta tese: A estratégia proposta para a especificação de serviços é um elemento chave no futuro do uso de SOA ao nível dos dispositivos, devido à importância da definição das interfaces no sucesso destas arquitecturas. A programação ao nível da tarefa é desta forma transferida da programação dos robôs para o nível da rede. Uma linguagem conduzida a eventos foi definida para a orquestração. Testes revelaram o seu uso e compatibilidade com as necessidades das células de fabrico das pequenas e médias empresas, nomeadamente estados explícitos e transições baseadas em eventos. Esta abordagem preenche uma lacuna nos padrões de orquestração existentes na indústria e constitui uma excelente base de trabalho para o futuro. Finalmente, foram abordadas técnicas baseadas em conhecimento, e avaliada a sua integração com a arquitectura definida anteriormente. Estes estudos mostraram a importância das estratégias descritivas e as inúmeras possibilidades abertas quando a semântica é adicionada aos sistemas industriais baseados em software, especialmente quando suportados em bem estabelecidas tecnologias de rede, como as descritas anteriormente.Our ability to manufacture well is the key to our wealth. Obtaining a wider range of different (and better) products in a sustainable way in terms of labour and environment is the big challenge faced by modern manufacturing. In the last few decades, automation has played a key role in the enhanced productivity of mass-production industries, but there has been a paradigm shift: global consumers ask for customization, leading manufacturers to target mass customization and consequently requiring new levels of flexibility for automation. An industrial robot is usually considered to be a flexible machine, which is only true within the large plant scenario. Small enterprises, which are by nature the most flexible ones, do not make use of robot systems as they could, because robot flexibility, which relies on reprogramming and reconfiguring, cannot be taken on by the SME (Small Medium Enterprises) worker at the workshop, and hiring specialists is unacceptable in terms of costs. The easy reconfiguration of a robotic work-cell, which is a distributed environment with computation in different platforms that are coordinated by software, is hindered greatly by the dependencies between cell components. This thesis addresses the problem of dependencies by proposing principles and mechanisms for the orchestration of complex manufacturing systems, i.e., the (semi-) automated coordination of their interactions in terms of communications and computer control. The industrial environment, especially regarding robotics, does not lend itself to theoretical analysis due to the amount of work needed to reach formal models. This is exacerbated in the unstructured SME environment and when working with user-in-the-loop systems. Therefore, the approach used in this thesis was mainly empirical, with validation through laboratory prototypes used by some representative users. The approach consisted of the following parts: 1. supporting loose coupling between components to promote simple composition of services to enable an easier reconfiguration; 2. defining unifying principles in terms of user interaction, by taking into account current robot technologies and improvements from other scientific areas, namely enterprise level networking; 3. enabling a task-based view of knowledge in terms of the manufacturing processes to promote the reconfiguration of the system by process rather than robotics specialists; 4. proposing declarative techniques that support easy configuration of the work-cell in terms understandable by the SME user. The use of service-oriented architectures (SOAs) in the business world has tackled the limitations of component-oriented architectures in terms of coupling through the standardization of interfaces, communication protocols, transaction management, and security, among others. Device-level SOA are the result of the porting of SOA principles to the embedded level with the addition of several important features, namely: publish/subscribe messaging patterns, peer-to-peer discovery description and generic templates. At an initial stage, this work has validated the current trend of using device-level SOA in industrial environments by testing their use against a prototype work-cell. Following this, a comparison was made between device-level SOA platforms that embodied two different architectural styles. This served as a basis for the rest of the thesis. Although the results from this evaluation have shown the great advances brought about by the use of device-level SOA, for instance in terms of decoupling, some critical issues for their effective use remained unchallenged, namely: 1. The generation and the specification of task-level services (contracts), with transparent and easy-to-use techniques for the SME user. 2. The definition of orchestration techniques adapted to the device-level SOA, with adequate expressiveness and simplicity for the SME user. A task-based view of knowledge in terms of manufacturing processes relies on the ability to provide a flexible (SME user-friendly) mechanism for the specification of network interfaces. Robot programs are the key element for robot flexibility. This work has shown that their use in interface definition will feature flexibility also at the interconnection level. The procedural nature of many robot programming languages copes perfectly with the device-level SOA messaging style, with a mixture of evented state variables defined by robot variables, and with actions defined by robot methods. The definition of an orchestration language has addressed a missing pattern in service orchestration: event-driven systems. These systems define states and transitions in a clear way, thus enhancing the user’s ability to predict the state of the system. Statecharts provide a perfect match for the device-level SOA since the state-transitions are event-based, but the states (and the transitions) embody actions, which can be mapped to operations. The empiric evaluation made with several types of users has shown the predictable steep learning curve of these systems, partly due to their resemblance to traditional automation techniques like SFCs. The results are therefore positive and justify the effort of testing the system against real applications, which in this case means with real SME users. Descriptive techniques for software are one of the keys to establish the bridge between humans and computer programs. Despite recent evolutions, these techniques are not yet ready for use, and supportive technologies and methodologies need to be tested. In this work, a cell specification language has been defined and software developed that configures a programming-by-demonstration robotic work-cell. In conclusion, there are three main outcomes from this thesis. The proposed strategy for the specification of services is a key enabler in the future use of device-level SOA in industrial robotics, due to the importance of interface definition in the success of these architectures. Task-level programming is in this way extended from the robot programming level to networked devices. An event-driven language has been defined for the orchestration. Tests revealed its ease of use and compatibility with the orchestration needs of SME work-cells, namely: explicit states and event-based transitions. This approach fulfils a missing orchestration pattern in the industry, and provides an excellent basis for future work. A descriptive robotic cell specification has been introduced that supports the automatic workcell (re)configuration. This work has shown the importance of descriptive knowledge in automation, especially when supported by the networking integration techniques described previously.Project SMERobot, Integrated project funded under the European Union’s Sixth Framework Programme (FP6

Industry 4.0 in the Theme Park Sector: Design of a RealTime Monitoring System for Queue Management

The theme park industry is a consolidated sector where different industrial technologies and management procedures are present. However, the Industry 4.0 paradigm aims at disrupting how industrial processes are conceived. In this thesis, we perform a thorough investigation of key relevant features of theme parks and how industry 4.0 could be applied within the theme park sector. Our methodology is as follows. First, we analyse the technology used in the most innovative attractions. Afterwards, we focus on the most recurrent problem within the sector: queue management at attractions. As part of the solution, a system is designed to allow real-time monitoring of waiting times through an IoT infrastructure. Radio Fre- quency Identification and Bluetooth Low Energy are the chosen technologies for people counting. They allow users to be located in the park in addition to counting. This system gives precise waiting times estimates, and park managers can obtain precious data about user behaviour and preferences. Finally, we develop a proof of concept to test the designed solution and detail the benefits of applying industry 4.0 to the theme park sector.Máster en Industria Conectada 4.

Cognitive Hyperconnected Digital Transformation

Cognitive Hyperconnected Digital Transformation provides an overview of the current Internet of Things (IoT) landscape, ranging from research, innovation and development priorities to enabling technologies in a global context. It is intended as a standalone book in a series that covers the Internet of Things activities of the IERC-Internet of Things European Research Cluster, including both research and technological innovation, validation and deployment. The book builds on the ideas put forward by the European Research Cluster, the IoT European Platform Initiative (IoT-EPI) and the IoT European Large-Scale Pilots Programme, presenting global views and state-of-the-art results regarding the challenges facing IoT research, innovation, development and deployment in the next years. Hyperconnected environments integrating industrial/business/consumer IoT technologies and applications require new IoT open systems architectures integrated with network architecture (a knowledge-centric network for IoT), IoT system design and open, horizontal and interoperable platforms managing things that are digital, automated and connected and that function in real-time with remote access and control based on Internet-enabled tools. The IoT is bridging the physical world with the virtual world by combining augmented reality (AR), virtual reality (VR), machine learning and artificial intelligence (AI) to support the physical-digital integrations in the Internet of mobile things based on sensors/actuators, communication, analytics technologies, cyber-physical systems, software, cognitive systems and IoT platforms with multiple functionalities. These IoT systems have the potential to understand, learn, predict, adapt and operate autonomously. They can change future behaviour, while the combination of extensive parallel processing power, advanced algorithms and data sets feed the cognitive algorithms that allow the IoT systems to develop new services and propose new solutions. IoT technologies are moving into the industrial space and enhancing traditional industrial platforms with solutions that break free of device-, operating system- and protocol-dependency. Secure edge computing solutions replace local networks, web services replace software, and devices with networked programmable logic controllers (NPLCs) based on Internet protocols replace devices that use proprietary protocols. Information captured by edge devices on the factory floor is secure and accessible from any location in real time, opening the communication gateway both vertically (connecting machines across the factory and enabling the instant availability of data to stakeholders within operational silos) and horizontally (with one framework for the entire supply chain, across departments, business units, global factory locations and other markets). End-to-end security and privacy solutions in IoT space require agile, context-aware and scalable components with mechanisms that are both fluid and adaptive. The convergence of IT (information technology) and OT (operational technology) makes security and privacy by default a new important element where security is addressed at the architecture level, across applications and domains, using multi-layered distributed security measures. Blockchain is transforming industry operating models by adding trust to untrusted environments, providing distributed security mechanisms and transparent access to the information in the chain. Digital technology platforms are evolving, with IoT platforms integrating complex information systems, customer experience, analytics and intelligence to enable new capabilities and business models for digital business

Information Technologies for the Healthcare Delivery System

That modern healthcare requires information technology to be efficient and fully effective is evident if one spends any time observing the delivery of institutional health care. Consider the observation of a practitioner of the discipline, David M. Eddy, MD, PhD, voiced in Clinical Decision Making, JAMA 263:1265-75, 1990, . . .All confirm what would be expected from common sense: The complexity of modern medicine exceeds the inherent limitations of the unaided human mind. The goal of this thesis is to identify the technological factors that are required to enable a fully sufficient application of information technology (IT) to the modern institutional practice of medicine. Perhaps the epitome of healthcare IT is the fully integrated, fully electronic patient medical record. Although, in 1991 the Institute of Medicine called for such a record to be standard technology by 2001, it has still not materialized. The author will argue that some of the technology and standards that are pre-requisite for this achievement have now arrived, while others are still evolving to fully sufficient levels. The paper will concentrate primarily on the health care system in the United States, although much of what is contained is applicable to a large degree, around the world. The paper will illustrate certain of these pre-requisite IT factors by discussing the actual installation of a major health care computer system at the University of Rochester Medical Center (URMC) in Rochester, New York. This system is a Picture Archiving and Communications System (PACS). As the name implies, PACS is a system of capturing health care images in digital format, storing them and communicating them to users throughout the enterprise

Cognitive Hyperconnected Digital Transformation

Cognitive Hyperconnected Digital Transformation provides an overview of the current Internet of Things (IoT) landscape, ranging from research, innovation and development priorities to enabling technologies in a global context. It is intended as a standalone book in a series that covers the Internet of Things activities of the IERC-Internet of Things European Research Cluster, including both research and technological innovation, validation and deployment. The book builds on the ideas put forward by the European Research Cluster, the IoT European Platform Initiative (IoT-EPI) and the IoT European Large-Scale Pilots Programme, presenting global views and state-of-the-art results regarding the challenges facing IoT research, innovation, development and deployment in the next years. Hyperconnected environments integrating industrial/business/consumer IoT technologies and applications require new IoT open systems architectures integrated with network architecture (a knowledge-centric network for IoT), IoT system design and open, horizontal and interoperable platforms managing things that are digital, automated and connected and that function in real-time with remote access and control based on Internet-enabled tools. The IoT is bridging the physical world with the virtual world by combining augmented reality (AR), virtual reality (VR), machine learning and artificial intelligence (AI) to support the physical-digital integrations in the Internet of mobile things based on sensors/actuators, communication, analytics technologies, cyber-physical systems, software, cognitive systems and IoT platforms with multiple functionalities. These IoT systems have the potential to understand, learn, predict, adapt and operate autonomously. They can change future behaviour, while the combination of extensive parallel processing power, advanced algorithms and data sets feed the cognitive algorithms that allow the IoT systems to develop new services and propose new solutions. IoT technologies are moving into the industrial space and enhancing traditional industrial platforms with solutions that break free of device-, operating system- and protocol-dependency. Secure edge computing solutions replace local networks, web services replace software, and devices with networked programmable logic controllers (NPLCs) based on Internet protocols replace devices that use proprietary protocols. Information captured by edge devices on the factory floor is secure and accessible from any location in real time, opening the communication gateway both vertically (connecting machines across the factory and enabling the instant availability of data to stakeholders within operational silos) and horizontally (with one framework for the entire supply chain, across departments, business units, global factory locations and other markets). End-to-end security and privacy solutions in IoT space require agile, context-aware and scalable components with mechanisms that are both fluid and adaptive. The convergence of IT (information technology) and OT (operational technology) makes security and privacy by default a new important element where security is addressed at the architecture level, across applications and domains, using multi-layered distributed security measures. Blockchain is transforming industry operating models by adding trust to untrusted environments, providing distributed security mechanisms and transparent access to the information in the chain. Digital technology platforms are evolving, with IoT platforms integrating complex information systems, customer experience, analytics and intelligence to enable new capabilities and business models for digital business

Next Generation Supply Chains

This open access book explores supply chains strategies to help companies face challenges such as societal emergency, digitalization, climate changes and scarcity of resources. The book identifies industrial scenarios for the next decade based on the analysis of trends at social, economic, environmental technological and political level, and examines how they may impact on supply chain processes and how to design next generation supply chains to answer these challenges. By mapping enabling technologies for supply chain innovation, the book proposes a roadmap for the full implementation of the supply chain strategies based on the integration of production and logistics processes. Case studies from process industry, discrete manufacturing, distribution and logistics, as well as ICT providers are provided, and policy recommendations are put forward to support companies in this transformative process

31th International Conference on Information Modelling and Knowledge Bases

Information modelling is becoming more and more important topic for researchers, designers, and users of information systems.The amount and complexity of information itself, the number of abstractionlevels of information, and the size of databases and knowledge bases arecontinuously growing. Conceptual modelling is one of the sub-areas ofinformation modelling. The aim of this conference is to bring together experts from different areas of computer science and other disciplines, who have a common interest in understanding and solving problems on information modelling and knowledge bases, as well as applying the results of research to practice. We also aim to recognize and study new areas on modelling and knowledge bases to which more attention should be paid. Therefore philosophy and logic, cognitive science, knowledge management, linguistics and management science are relevant areas, too. In the conference, there will be three categories of presentations, i.e. full papers, short papers and position papers