29,484 research outputs found
A high level e-maintenance architecture to support on-site teams
Emergent architectures and paradigms targeting reconfigurable manufacturing systems increasingly rely on intelligent modules to maximize the robustness and responsiveness of modern installations. Although intelligent behaviour significantly minimizes the occurrence of faults and breakdowns it does not exclude them nor can prevent equipment’s normal wear. Adequate maintenance is fundamental to extend equipments’ life cycle. It is of major importance the ability of each intelligent device to take an active role in maintenance support. Further this paradigm shift towards “embedded intelligence”, supported by cross platform technologies, induces relevant organizational and functional changes on local maintenance teams. On the one hand, the possibility of outsourcing maintenance activities, with the warranty of a timely response, through the use of pervasive networking technologies and, on the other hand, the optimization of local maintenance staff are some examples of how IT is changing the scenario in maintenance. The concept of e-maintenance is, in this context, emerging as a new discipline with defined socio-economic challenges. This paper proposes a high level maintenance architecture supporting maintenance teams’ management and offering contextualized operational support. All the functionalities hosted by the architecture are offered to the remaining system as network services. Any intelligent module, implementing the services’ interface, can report diagnostic, prognostic and maintenance recommendations that enable the core of the platform to decide on the best course of action.manufacturing systems, platform technologies, maintenance
Visions and Challenges in Managing and Preserving Data to Measure Quality of Life
Health-related data analysis plays an important role in self-knowledge,
disease prevention, diagnosis, and quality of life assessment. With the advent
of data-driven solutions, a myriad of apps and Internet of Things (IoT) devices
(wearables, home-medical sensors, etc) facilitates data collection and provide
cloud storage with a central administration. More recently, blockchain and
other distributed ledgers became available as alternative storage options based
on decentralised organisation systems. We bring attention to the human data
bleeding problem and argue that neither centralised nor decentralised system
organisations are a magic bullet for data-driven innovation if individual,
community and societal values are ignored. The motivation for this position
paper is to elaborate on strategies to protect privacy as well as to encourage
data sharing and support open data without requiring a complex access protocol
for researchers. Our main contribution is to outline the design of a
self-regulated Open Health Archive (OHA) system with focus on quality of life
(QoL) data.Comment: DSS 2018: Data-Driven Self-Regulating System
Is Ambient Intelligence a truly Human-Centric Paradigm in Industry? Current Research and Application Scenario
The use of pervasive networked devices is nowadays a reality in the service sector. It impacts almost all aspects of our daily lives, although most times we are not aware of its influence. This is a fundamental characteristic of the concept of Ambient Intelligence (AmI). Ambient Intelligence aims to change the form of human-computer interaction, focusing on the user needs so they can interact in a more seamless way, with emphasis on greater user-friendliness. The idea of recognizing people and their context situation is not new and has been successfully applied with limitations, for instance, in the health and military sectors. However its appearance in the manufacturing industry has been elusive. Could the concept of AmI turn the current shop floor into a truly human centric environment enabling comprehensive reaction to human presence and action? In this article an AmI scenario is presented and detailed with applications in human’s integrity and safety.Ambient Intelligence, networks, human-computer interaction
Starfish: Policy Driven Self-management in Wireless Sensor Networks
Wireless sensor networks are a key aspect of many pervasive systems designed to aid people in their normal activities and adapt to their current context. However, these systems also need to be self-managing in discovering and configuring devices for services, detecting and responding to attacks, determining errors and faults and reconfiguring the system to mitigate these. In this paper we describe the Starfish framework for specifying and dynamically managing policies in sensor nodes. We discuss the components in the framework which include the Finger2 policy system for specifying dynamic adaptivity, a module library to simplify the programming the basic funtionality of nodes and a client side editor for managing policies. We describe policies for an adaptive healthcare body network then focus on policies for self-healing aspects of sensor networks and give examples of policy-based reconfigurations to deal with faults. © 2010 ACM
The Relationship Between Community Violence and Trauma: How Violence Affects Learning, Health, and Behavior
Research on trauma is frequently featured in mainstream news outlets, pointing to its connection to a range of behavioral and health outcomes. While trauma can have multiple interpretations, for the purposes of this report, it is the result of experiencing or witnessing chronic and sustained violence, or specific events that can have lasting effects on individuals. Researchers have identified 13 distinct types of trauma, including community violence. Community violence is an umbrella term that encompasses experiencing or witnessing firearms violence as well as exposure to drug markets. In addition to the commonly understood, more immediate impacts of gun violence on the victims and their friends and family, this report will provide an overview of the consequences of community violence on health and well-being, specifically illuminating the impact of trauma caused by the longer-term, frequently cumulative effects of living with the fear of violence. This report is intended for members of the gun violence prevention community and policymakers and is designed to provide a foundation of key concepts and research on trauma in the context of gun violence in an easily accessible format
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