Search results for "Soft"
showing 10 items of 9809 documents
Peer-to-Peer-Technologien — Einflüsse digitaler dezentraler Ressourcennutzung auf elektronische Märkte
2003
Peer-to-Peer-Systeme sind in jungerer Zeit hauptsachlich durch die verbreiteten und oft kritisierten Musiktauschborsen wie Napster1 oder Gnutella2 bekannt geworden. Oftmals wird „Peer-to-Peer“sogar mit dem Austausch von Musik- und Videodateien gleichgesetzt. Diese Reduzierung des Begriffs auf das blose Austauschen von Dateien (Filesharing) wird jedoch nicht dem Peer-to-Peer-Begriff und erst recht nicht dem Potenzial des Peer-to-Peer Computing gerecht. Filesharing darf insofern nur als eine spezielle Applikation gesehen werden, die sich mit Hilfe von Peer-to-Peer-Technologien bewaltigen lasst.
Language complexity in on-line health information retrieval
2020
The number of people searching for on-line health information has been steadily growing over the years so it is crucial to understand their specific requirements in order to help them finding easily and quickly the specific in-formation they are looking for. Although generic search engines are typically used by health information seekers as the starting point for searching information, they have been shown to be limited and unsatisfactory because they make generic searches, often overloading the user with the provided amount of results. Moreover, they are not able to provide specific information to different types of users. At the same time, specific search engines mostly work on medical li…
ULearn: Personalized Medical Learning on the Web for Patient Empowerment
2019
Abstract. Health literacy constitutes an important step towards patient empowerment and the Web is presently the biggest repository of medical information and, thus, the biggest medical resource to be used in the learning process. However, at present web medical information is mainly accessed through generic search engines that do not take into account the user specific needs and starting knowledge and so are not able to support learning activities tailored to the specific user requirements. This work presents “ULearn” a meta engine that supports access, understanding and learning on the Web in the medical domain based on specific user requirements and knowledge levels towards what we call …
A Distributed Multi-Authority Attribute Based Encryption Scheme for Secure Sharing of Personal Health Records
2017
Personal health records (PHR) are an emerging health information exchange model, which facilitates PHR owners to efficiently manage their health data. Typically, PHRs are outsourced and stored in third-party cloud platforms. Although, outsourcing private health data to third-party platforms is an appealing solution for PHR owners, it may lead to significant privacy concerns, because there is a higher risk of leaking private data to unauthorized parties. As a way of ensuring PHR owners' control of their outsourced PHR data, attribute based encryption (ABE) mechanisms have been considered due to the fact that such schemes facilitate a mechanism of sharing encrypted data among a set of intende…
Cost-Effective eHealth System Based on a Multi-Sensor System-on-Chip Platform and Data Fusion in Cloud for Sport Activity Monitoring
2018
eHealth systems provide medical support to users and contribute to the development of mobile and quality health care. They also provide results on the prevention and follow-up of diseases by monitoring health-status indicators and methodical data gathering in patients. Telematic management of health services by means of the Internet of Things provides immediate support and it is cheaper than conventional physical presence methods. Currently, wireless communications and sensor networks allow a person or group to be monitored remotely. The aim of this paper is to develop and assess a system for monitoring physiological parameters to be applied in different scenarios, such as health or sports.…
Smart Urban Energy Districts and Energy Policies
2018
The deployment of smart cities appears a strategic factor for reducing environmental impact and increasing competitivity of economic systems across the world. Although terminology is similar worldwide, the different political assets and social enviroments largely affect the development models. Drivers indeed are quite different, such as the speed at which transformations take place. As a result, implementation of measures is carried out differently and realizations of smart city projects can be strongly different. Europe, China and U.S.A. approaches are compared in this paper to provide the reader with a broader view about different smart city implementations, with a focus on the electricit…
Soft Innovation Resources: Enabler for reversal in GDP Growth in the Digital Economy
2018
While Finland and Singapore have been maintaining world digital leaders position, they demonstrate interlaced contrast: high welfare with low GDP growth in Finland and higher GDP growth with lower welfare in Singapore. This provokes an uncaptured GDP postulate that Finnish wellbeing has developed more than one might conclude by GDP. However, a recent reversal in the GDP growth trend suggests the possibility that uncaptured GDP contributes to remove structural impediments in GDP growth.This paper demonstrates this hypothesis. An empirical analysis elucidating the inside the national accountings and institutional systems revealed that soft innovation resources have substituted for service cap…
Towards a simulation-based tuning of motion cueing algorithms
2016
Abstract This paper deals with the problem of finding the best values for the parameters of Motion Cueing Algorithms (MCA). MCA are responsible for controlling the movements of robotic motion platforms used to generate the gravito-inertial cues of vehicle simulators. The values of their multiple parameters, or coefficients, are hard to establish and they dramatically change the behaviour of MCA. The problem has been traditionally addressed in a subjective, partially non-systematic, iterative, time-consuming way, by seeking pilot/driver feedback on the generated motion cues. The aim of this paper is to introduce a different approach to solve the problem of MCA tuning, by making use of a simu…
MM-DSL, support for implementing modelling tools for manufacturing processes
2019
Today’s competitive conditions call for detailed comparative analyzes of manufacturing processes in order to get competitive products. This analysis involves the development of faithful and robust models for the supervision and management of all organizational and operational activities of companies. Efficient modelling involves the selection and use of appropriate tools for modelling, simulation and analysis of manufacturing processes. The diversity of manufacturing processes often makes it necessary to implement specific modelling tools. MM-DSL is a platform independent language for specifying and implementing specific modelling tools. The core objective of the MM-DSL language is the impl…
Robust Network Agreement on Logical Information
2011
Abstract Logical consensus is an approach to distributed decision making which is based on the availability of a network of agents with incomplete system knowledge. The method requires the construction of a Boolean map which defines a dynamic system allowing the entire network to consent on a unique, global decision. Previous work by the authors proved the method to be viable for applications such as intrusion detection within a structured environment, when the agent's communication topology is known in advance. The current work aims at providing a fully distributed protocol, requiring no a priori knowledge of each agent's communication neighbors. The protocol allows the construction of a r…