95 research outputs found

    Inteligência Ambiente em serviços de saúde baseada em ontologias e na descoberta de conhecimento em bases de dados e/ou bases de conhecimento

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    Tese de doutoramento em Engenharia BiomédicaAvanços em novas Metodologias para a Resolução de Problemas e o uso de Tecnologias de Informação e Comunicação (TIC) possibilitam uma nova conceção dos processos ao nível dos Serviços de Saúde, baseados no uso e na integração de dados e conhecimentos a todos os níveis, num ambiente relacionado com Instituições de Saúde. De facto, as novas tecnologias de comunicação suportarão a transição de uma aproximação baseada na instituição, para uma abordagem baseada no utente, i.e., o Sistema de Saúde está confrontado com uma série de desafios, nomeadamente os relacionados com a qualidade da informação e o custo de tais processos. Por outro lado, o nível de saúde já atingido em Portugal não permite uma degradação do nível e qualidade de serviços já oferecidos aos cidadãos a quem constitucionalmente é garantido o direto à saúde. Importa encontrar formas de concertar a governação clínica (clinical governance) com a gestão económica dos serviços de saúde, muito particularmente para a desejada sustentabilidade do Serviço Nacional de Saúde. A prestação de cuidados de saúde a custos controlados, dotando o utente de capacidade para participar nesse processo, e a utilização e reutilização de informação, são aspetos importantes para a instituição prestadora de cuidados de saúde. O nosso principal intuito será o de encontrar formas e métodos de superação da atual dispersão de informação nos diversos serviços, departamentos e setores da saúde, muito coincidentes com a situação deficitária, por vezes desagregada, dissociada dos problemas, onde impera a desmotivação e se propiciam assimetrias nos cuidados de saúde sejam hospitalares, ou ao nível dos cuidados primários e outros. Importará garantir a acessibilidade aos cidadãos, particularmente aos doentes, disponibilizando cuidados de saúde oportunos, integradores, que respeitem as reais necessidades de saúde das pessoas e sejam administrados segundo as melhores práticas de gestão clínica e de administração. Para promover tal desiderato importa articular e integrar procedimentos, controlar metas e resultados. Importará maximizar a utilização das TIC’s, exigindo-se para tal soluções de integração e interoperabilidade de processos, criando verdadeiros sistemas de informação integrados, multidisciplinares, que considerem as necessidades e legítimos interesses dos stakeholders da saúde. As infraestruturas das TIC’s deverão, por conseguinte, refletir a visão do sistema de prestação de cuidados de saúde de forma não intrusiva, onde a informação possa fluir de forma transparente entre as instituições e os profissionais de saúde. Assim, o trabalho desenvolvido e apresentado nesta tese abordará aspetos chave que deverão estar relacionados com a utilização da tecnologia e dos sistemas de informação numa visão centrada no utente, na prestação de cuidados de saúde e na gestão e prevenção de doenças. Tratar-se-á de consolidar uma visão global da assistência hospitalar, articulada e integrada com outros setores e saberes, oferecendo aos cidadãos cuidados de saúde garantidamente adequados, sustentados em processos de integração da informação e de automação aceitáveis e oportunos, atendendo às ontologias médicas e melhores práticas profissionais, que transmitam maior proximidade aos utentes, permitindo, no limite, monitorizar e tratar os doentes no seu domicílio.Advances in new Methodologies for Problem Solving and Information Technology enable a fundamental redesign of health care processes based on the use and integration of data and/or knowledge at all levels, in a healthcare environment. Indeed, new communication technologies will support the transition from institution centric to patient-centric based applications, i.e., the health care system is faced with a series of challenges, namely those concerning quality-ofinformation and the cost-effectiveness of such processes. On the other hand, the health level achieved in Portugal does not allow anymore the degradation of the quality of services provided to citizens, to whom, constitutionally, is guaranteed the right to have health care treatments. It is important to gather clinical governance with the economic management of health care services, particularly to achieve the desired sustainability of the National Health Service (Serviço Nacional de Saúde). The distribution of cost-effective health care allowing the patient to take active part in the caring process, provision of evidence based care on all levels in the system and effective use and reuse of information are key issues for the health care organization. Our main aim will be the finding of ways and methods to overpass the actual scattering of information through the services, departments and health sectors, where personal motivation is difficult to attain, and the health care treatments are becoming disparate, at all levels. It should be guaranteed, to the citizens, mainly the sick or the needy, providing timely health care concerning the real needs of people through practices recognized as the best, from the clinical point of view. To promote such goal it is important to integrate procedures and to control results. The use of IT’s should be maximized through the application of interoperability procedures, creating truly integrated information services, considering the needs and interests of the health care stakeholders. The information and communication technology infrastructure should, therefore, reflect the view of the health care system as a seamless system where information can flow across organizational and professional borders. Thus, the work presented in this thesis, it will be address key principles that must be at the center of patient-centered use of technologies for the health care and disease management and prevention. A global vision of hospital assistance will be gathered, integrated with other sectors an know-how, providing citizens with adequate health care services, supported by information integration and automation procedures acceptable and secure, respecting clinical ontologies and the best medical practices, insuring the needed proximity to citizens, allowing, at the limit, to monitor ant to give care to patients at home

    Integrated Circuits and Systems for Smart Sensory Applications

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    Connected intelligent sensing reshapes our society by empowering people with increasing new ways of mutual interactions. As integration technologies keep their scaling roadmap, the horizon of sensory applications is rapidly widening, thanks to myriad light-weight low-power or, in same cases even self-powered, smart devices with high-connectivity capabilities. CMOS integrated circuits technology is the best candidate to supply the required smartness and to pioneer these emerging sensory systems. As a result, new challenges are arising around the design of these integrated circuits and systems for sensory applications in terms of low-power edge computing, power management strategies, low-range wireless communications, integration with sensing devices. In this Special Issue recent advances in application-specific integrated circuits (ASIC) and systems for smart sensory applications in the following five emerging topics: (I) dedicated short-range communications transceivers; (II) digital smart sensors, (III) implantable neural interfaces, (IV) Power Management Strategies in wireless sensor nodes and (V) neuromorphic hardware

    IoT and Industry 4.0 technologies in Digital Manufacturing Transformation

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    The evolution of internet of things, cyber physical system, digital twin and artificial intelligence is stimulating the transformation of the product-centric processes toward smart control digital service-oriented ones. With the implementation of artificial intelligence and machine learning algorithms, IoT has accelerated the movement from connecting devices to the Internet to collecting and analyzing data by using sensors to extract data throughout the lifecycle of the product, in order to create value and knowledge from the huge amount of the collected data, such as the knowledge of the product performance and conditions. The importance of internet of things technology in manufacturing comes from its ability to collect real time data and extract valuable knowledge from these huge amount of data which can be supported through the implementation of smart IoT-based servitization framework which was presented in this research together with a 10-steps approach diagram. Moreover, literature review has been carried out to develop the research and deepen the knowledge in the field of IoT, CPS, DT and Artificial Intelligence, and then interviews with experts have been conducted to validate the contents, since DT is a quite new technology, so there are different points of view about certain concepts of this technology. The main scope and objective of this research is to allow organizational processes and companies to benefit form the value added information that can be achieved through the right implementation of advanced technologies such as IoT, DT, CPS, and artificial intelligence which can provide financial benefits to the manufacturing companies and competitive advantages to make them stand among the other competitors in the market. The effectiveness of such technologies can not only improve the financial benefits of the companies, but the workers\u2019 safety and health through the real time monitoring of the work environment. Here in this research the main aim is to present the right frameworks that can be used in the literature through companies and researchers to allow them to implement these technologies correctly in the boundaries of their businesses. In addition to that, the Smart factory concept, as introduced in the context of Industry 4.0, promotes the development of a new interconnected manufacturing environment where human operators cooperate with machines. While the role of the operator in the smart factory is substantially being rediscussed, the industrial approach towards safety and ergonomics still appears frequently outdated and inadequate. This research approaches such topic referring to the vibration risk, a well-known cause of work-related pathologies, and proposes an original methodology for mapping the risk exposure related to the performed activities. A miniaturized wearable device is employed to collect vibration data, and the obtained signals are segmented and processed in order to extract the significant features. An original machine learning classifier is then employed to recognize the worker\u2019s activity and evaluate the related exposure to vibration risks. Finally, the results obtained from the experimental analysis demonstrate feasibility and the effectiveness of the proposed methodology

    A Survey on Industrial Control System Testbeds and Datasets for Security Research

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    The increasing digitization and interconnection of legacy Industrial Control Systems (ICSs) open new vulnerability surfaces, exposing such systems to malicious attackers. Furthermore, since ICSs are often employed in critical infrastructures (e.g., nuclear plants) and manufacturing companies (e.g., chemical industries), attacks can lead to devastating physical damages. In dealing with this security requirement, the research community focuses on developing new security mechanisms such as Intrusion Detection Systems (IDSs), facilitated by leveraging modern machine learning techniques. However, these algorithms require a testing platform and a considerable amount of data to be trained and tested accurately. To satisfy this prerequisite, Academia, Industry, and Government are increasingly proposing testbed (i.e., scaled-down versions of ICSs or simulations) to test the performances of the IDSs. Furthermore, to enable researchers to cross-validate security systems (e.g., security-by-design concepts or anomaly detectors), several datasets have been collected from testbeds and shared with the community. In this paper, we provide a deep and comprehensive overview of ICSs, presenting the architecture design, the employed devices, and the security protocols implemented. We then collect, compare, and describe testbeds and datasets in the literature, highlighting key challenges and design guidelines to keep in mind in the design phases. Furthermore, we enrich our work by reporting the best performing IDS algorithms tested on every dataset to create a baseline in state of the art for this field. Finally, driven by knowledge accumulated during this survey's development, we report advice and good practices on the development, the choice, and the utilization of testbeds, datasets, and IDSs

    Towards Secure Fog Computing: A Survey on Trust Management, Privacy, Authentication, Threats and Access Control

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    Fog computing is an emerging computing paradigm that has come into consideration for the deployment of Internet of Things (IoT) applications amongst researchers and technology industries over the last few years. Fog is highly distributed and consists of a wide number of autonomous end devices, which contribute to the processing. However, the variety of devices offered across different users are not audited. Hence, the security of Fog devices is a major concern that should come into consideration. Therefore, to provide the necessary security for Fog devices, there is a need to understand what the security concerns are with regards to Fog. All aspects of Fog security, which have not been covered by other literature works, need to be identified and aggregated. On the other hand, privacy preservation for user’s data in Fog devices and application data processed in Fog devices is another concern. To provide the appropriate level of trust and privacy, there is a need to focus on authentication, threats and access control mechanisms as well as privacy protection techniques in Fog computing. In this paper, a survey along with a taxonomy is proposed, which presents an overview of existing security concerns in the context of the Fog computing paradigm. Moreover, the Blockchain-based solutions towards a secure Fog computing environment is presented and various research challenges and directions for future research are discussed
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