Pulmonary cancer is one of the most commonly diagnosed and fatal cancers and is often diagnosed by incidental findings on computed tomography. Automated pulmonary nodule detection is an essential part of computer-aide...
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Home caring usually refers to taking care of the elder, the young kids and the patients at home, and this depends on both caregivers and caring systems. The system which can provide sufficient and accurate information...
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ISBN:
(数字)9781728158716
ISBN:
(纸本)9781728158723
Home caring usually refers to taking care of the elder, the young kids and the patients at home, and this depends on both caregivers and caring systems. The system which can provide sufficient and accurate information to doctors or caregivers without a delay will bring benefits for all the persons who need to be cared and allow doctor or care givers to take right action based on the information immediately. Available corresponding products in the market mainly are some smart home devices or some medical facilities based on electroencephalo-graph (EEG), electrocardiograph (ECG) or blood pressure check, however, these parameters cannot give doctors, caregivers or family members a direct feedback. To address the problem, this paper introduces a deep learning based design - a visual recognition system developed for clinical monitoring which can supervise both the emotions and gestures of patients at the same time and give responsible persons instant and direct feedback so that the right treatment will be taken by them. This product uses a Raspberry Pi computer with its camera as hardware and implementing several deep learning models to fulfill three main functions which are: Facial Recognition, Emotion Detection and Pose Estimation onto a portable device, which enhances the utilization of the application and this brings more possibilities. Compared to theavailable products, this application emphasizes monitoring per-sons via visual analysis and gives more direct feedback all thetime instead of traditional ways which are not always timely or practical.
It is generally recognised that telecommunications and the internet in particular are changing the way healthcare is delivered in cardiology. Current. implementations of telecardiology are often characterised by a cen...
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It is generally recognised that telecommunications and the internet in particular are changing the way healthcare is delivered in cardiology. Current. implementations of telecardiology are often characterised by a centralised approach. Within this set-up a central system is connected to various remote sites. The central system has to keep track of the activities and of the state of these sites through constant communication with them. This scheme requires large volumes of data, particularly in the case of electrocardiograms (ECGs), to be generated in the remote sites and then to be transmitted to a central control system. This often leads to bottlenecks in communication that may adversely affect the quality of care. In this paper we propose a decentralised approach based on a combination of mobile agents (MA) and an Object Request Broker (ORB) mechanism. Its main aim is to support interoperability and to optimise the monitoring processes by reducing unnecessary communication. MAs possess a degree of autonomy that enables them to filter data on the remote site, and thus ease the load on the central monitoring system. they have the added advantage that they can be customised to meet individual needs. The ORB mechanism is incorporated in order to increase the reliability of MAs and to facilitate the integration of various ECG analysis software systems available on the market. It is expected that the proposed system will provide a framework for improved monitoring of patients and will lead therefore to better healthcare in cardiology.
Existing approaches for selecting the most appropriate reasoner for different semantic applications mainly relies on discussions between application developers and reasoner experts. However this approach will become i...
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Existing approaches for selecting the most appropriate reasoner for different semantic applications mainly relies on discussions between application developers and reasoner experts. However this approach will become inadequate with the increasing adoption of Semantic Web technologies in applications from different domains and the rapid development of OWL reasoning technologies. This work proposes RESP, a computer aided reasoner selection process designed to perform reasoner selection for different applications and so reduce the effort and communication overhead required to select the most appropriate reasoner. Preliminary evaluation results show that RESP successfully helps application developers to select the most appropriate reasoner, or at least narrow down the number of candidate reasoners to consider. Contributions of this work are two folds: (1) the design of a (relatively simple but useful) computer aided OWL reasoner selection process, and (2) the identification and discussion of a set of example application characteristics that can affect the OWL reasoner selection.
Web-based engineering design activities require fault tolerance and concurrent access to shared resources such as databases and Web servers. Such activities are generally dynamic, cooperative, long-lived, interactive,...
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Web-based engineering design activities require fault tolerance and concurrent access to shared resources such as databases and Web servers. Such activities are generally dynamic, cooperative, long-lived, interactive, and non-prescriptive. We propose a new multi-agent transaction model, which is based on extended transactions and multi-agent technologies. The novelty of this model is that it automatically customises transactions to the requirements of the design activities. In addition, this model is believed to improve concurrency and fault tolerance, facilitate interaction and co-operation of participating systems involved in design activities.
Brain-computer interface (BCI) has gained great attention from the public due to its ability and portability for external devices control or neuron rehabilitation using EEG from scalps. virtual reality (VR) provides u...
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ISBN:
(数字)9781728158716
ISBN:
(纸本)9781728158723
Brain-computer interface (BCI) has gained great attention from the public due to its ability and portability for external devices control or neuron rehabilitation using EEG from scalps. virtual reality (VR) provides users an immersive interaction environment via human-machine interfaces (HMI).This paper proposes an motor imagery based real-time control system for rehabilitation by using low-cost BCI to control a robotic arm in VR.
Modern smart buildings utilize sensor networks for facilities management applications such as energy monitoring. However as buildings become progressively more embedded with sensor networks, the challenge of managing ...
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Modern smart buildings utilize sensor networks for facilities management applications such as energy monitoring. However as buildings become progressively more embedded with sensor networks, the challenge of managing and maintaining the sensor networks themselves becomes ever more significant. As a cost-sensitive activity, facilities management deployments are less likely to deploy node redundancy and specialized technical staff to maintain these networks. Hence there are strong requirements for the network to efficiently self-diagnose, self-heal and integrate with standard buildings management systems. This paper introduces a solution for WSN management in smart buildings that addresses these issues. It is based on the deployment of the open framework middleware for sensor networks coupled with a structured knowledge and rule-based fault analysis engine to perform network event correlation and root cause analysis. The system also explicitly interfaces with a building management system (BMS) or the scheduling of network maintenance activities such as sensor battery replacement.
Sometimes it is not possible for a user to state a retrieval goal explicitly a priori. One common way to support such exploratory retrieval scenarios is to give an overview using a neighborhood-preserving projection o...
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Sometimes it is not possible for a user to state a retrieval goal explicitly a priori. One common way to support such exploratory retrieval scenarios is to give an overview using a neighborhood-preserving projection of the collection onto two dimensions. However, neighborhood cannot always be preserved in the projection because of the dimensionality reduction. Further, there is usually more than one way to look at a collection of images - and diversity grows with the number of features that can be extracted. We describe an adaptive zoomable interface for exploration that addresses both problems: It makes use of a complex non-linear multi-focal zoom lens that exploits the distorted neighborhood relations introduced by the projection. We further introduce the concept of facet distances representing different aspects of image similarity. Given user-specific weightings of these aspects, the system can adapt to the user's way of exploring the collection by manipulation of the neighborhoods as well as the projection.
Blogs, Wikis, and Social Bookmark Tools have rapidly emerged on the Web. The reasons for their immediate success are that people are happy to share information, and that these tools provide an infrastructure for doing...
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