Design of access control system for telemedicine secure XML documents

Jo, Sun-Moon; Chung, Kyungyong

doi:10.1007/s11042-014-1938-x

Cited by 19 publications

(12 citation statements)

References 21 publications

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“…RSS-based meteorological data are forms of data established based on XML and JSON, the two switched data standards, and provide updated information every three hours using the interface standard REST(Get) method. To collect meteorological data, queries are used to save data in the form of an index and a display, and a Document Object Model (DOM) parser is used to extract, exchange, and process data into an XML format [14]. This method expresses contents and structures as objects and provides a standard interface that can be managed by the user.…”

Section: Mobile Healthcare Provided By Means Of Wearable Sensorsmentioning

confidence: 99%

Prediction Model of User Physical Activity using Data Characteristics-based Long Short-term Memory Recurrent Neural Networks

Kim¹,

Chung²

2019

KSII TIIS

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Recently, mobile healthcare services have attracted significant attention because of the emerging development and supply of diverse wearable devices. Smartwatches and health bands are the most common type of mobile-based wearable devices and their market size is increasing considerably. However, simple value comparisons based on accumulated data have revealed certain problems, such as the standardized nature of health management and the lack of personalized health management service models. The convergence of information technology (IT) and biotechnology (BT) has shifted the medical paradigm from continuous health management and disease prevention to the development of a system that can be used to provide ground-based medical services regardless of the user's location. Moreover, the IT-BT convergence has necessitated the development of lifestyle improvement models and services that utilize big data analysis and machine learning to provide mobile healthcare-based personal health management and disease prevention information. Users' health data, which are specific as they change over time, are collected by different means according to the users' lifestyle and surrounding circumstances. In this paper, we propose a prediction model of user physical activity that uses data characteristics-based long short-term memory (DC-LSTM) recurrent neural networks (RNNs). To provide personalized services, the characteristics and surrounding circumstances of data collectable from mobile host devices were considered in the selection of variables for the model. The data characteristics considered were ease of collection, which represents whether or not variables are collectable, and frequency of occurrence, which represents whether or not changes made to input values constitute

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Section: Mobile Healthcare Provided By Means Of Wearable Sensorsmentioning

confidence: 99%

Prediction Model of User Physical Activity using Data Characteristics-based Long Short-term Memory Recurrent Neural Networks

Kim¹,

Chung²

2019

KSII TIIS

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“…The context information could be expressed effectively based on flexibility of XML and it may enable smooth communication through exchange of information accordingly with the format. At the moment, the previous DOM parser method [40] which enables data access with composition as tree type is used. It is a structure which has root node and son node under the object and it enables smooth communication between entities by exchanging the information with all structure and data of XML within the tree.…”

Section: P2p Context Awareness Based Sensibility Design Recommendatiomentioning

confidence: 99%

P2P context awareness based sensibility design recommendation using color and bio-signal analysis

Jung

Chung

2015

Peer-to-Peer Netw. Appl.

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In regards to information technology of modern society, IT convergence technology is applied in various fields. Particularly, active studies are conducted for creative design products with the use of IT convergence technology in design industry which transforms sensibility of people into various expressions. People started to put high significance to design elements and sensibility accordingly with diverse and distinctive lifestyle and active studies are also conducted on sensibility engineering interaction method which connects sensibility of people with design to satisfy such demand. Also, since distributed processing became available, advancement from server centered information processing and network, such strength is applied to design industry as well. The purpose of this study lies in recommending and proposing P2P context awareness based sensibility design using color and bio-signal analysis. In order to express design that coincides with distinctive and differentiated sensibility of people, the proposed method analyzes relation between visual sensibility and color design with the use of statistic analysis tool R 3.1.0 and SPSS 21.0 and the clustering of users with similar sensibility is conducted with the use of P2P network based context awareness. It recommends color design that coincides with the sensibility of new user by using the P2P network based collaborative filtering and applying it to color design based on clustered users. Proposed method reduces the time and cost spent to estimate design that satisfies the sensibility and requirement of user and supports companies to have concrete and clarified grasp on ambiguous personal requirement of user.

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“…In particular, an increasing number of people are showing a keen interest in health and happiness, which is due to the emergence of new diseases and an increase in life expectancy caused by economic growth and technology development. The search for an efficient way to respond to this increasing interest in health and wellness puts ubiquitous health services in the spotlight [1][2][3][4]. The main goal is to be a timely vehicle for publishing selected research papers on this emerging topic from practitioners and academia in different industries.…”

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confidence: 99%

Towards Ubiquitous Health with Convergence

Chung

Han

2016

THC

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Welcome to this special section of Technology and Health Care. This contains a collection of the best papers from various authors submitted. Economic growth and policy changes have led to an increased interest in medical services, leisure activities, and culture. In particular, an increasing number of people are showing a keen interest in health and happiness, which is due to the emergence of new diseases and an increase in life expectancy caused by economic growth and technology development. The search for an efficient way to respond to this increasing interest in health and wellness puts ubiquitous health services in the spotlight [1][2][3][4]. The main goal is to be a timely vehicle for publishing selected research papers on this emerging topic from practitioners and academia in different industries. This covers some of the hottest topics in Technology and Health Care, including: health computing for convergence; bioelectronics, biomechanics, telemedicine; medical imaging, bio-imaging; surgical technology, medical physics; innovative applications for convergence healthcare; medical and hospital informatics; telemedicine, ehealth, and home care methods; public health services.The paper by Cho et al.[5] proposes a potential therapeutic mechanism for action of extremely lowfrequency high-voltage electric fields on a cell. They reviewed relevant papers from several aspects to determine the important factors to consider when preparing to experimentally verify whether an artificial system has a potential therapeutic effect and to determine its mechanism of action on a cell. This study was of extremely low-frequency (ELF) field-induced diverse alterations of membrane proteins, such as transporter and channel protein changes in ion influx or efflux, and alterations in ligand-receptor interaction. It contributes to developing a detailed understanding of a high-voltage electrotherapeutic apparatus for consumers and suppliers of such devices.

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Design of access control system for telemedicine secure XML documents

Cited by 19 publications

References 21 publications

Prediction Model of User Physical Activity using Data Characteristics-based Long Short-term Memory Recurrent Neural Networks

Prediction Model of User Physical Activity using Data Characteristics-based Long Short-term Memory Recurrent Neural Networks

P2P context awareness based sensibility design recommendation using color and bio-signal analysis

Towards Ubiquitous Health with Convergence

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