Picocell based telemedicine health service for human UX/UI

Park, Roy C.; Jung, Hoill; Chung, Kyungyong; Yoon, Kun‐Ho

doi:10.1007/s11042-014-1964-8

Cited by 21 publications

(4 citation statements)

References 25 publications

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“…The challenges and issues related to UX/UI intelligent applications have been addressed by several authors [57][58][59]. The findings of these and other authors are consistent with our results.…”

Section: Discussionsupporting

confidence: 92%

The Concept of a Smart City Communication in the Form of an Urban Mobile Application

et al. 2021

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The current state of technological progress offers extensive opportunities for the development of urban infrastructure and the construction of Smart Cities, but the city will only become intelligent if it raises the living standards of all citizens in it. The Smart City uses information and communication technologies to improve its functionality and long-term sustainability and to increase the living standards of its citizens. In this context, it is necessary to address the issue of mutual communication between the city and the citizen and its implementation. The aim of the paper is to design a suitable smart solution that would streamline two-way communication between the city and its citizens. This solution is an urban mobile application, which is also a simple and yet sufficiently effective solution for the transformation of cities into Smart Cities. The main benefit is the implementation of research assessing the requirements of the citizens of a particular city for the services and functions that the application should offer. After analysing the results, a specific urban application design was processed using User Interface and User Interface design. The proposal consists of seven consecutive phases. All phases were completed in solving the design and the result can be seen in the resulting interactive prototype, which was finally tested by authors and random users representing all age categories. The results of the prototype usability tests enabled a gradual improvement of the solution, which culminated in the confirmation of its effectiveness.

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Section: Discussionsupporting

confidence: 92%

The Concept of a Smart City Communication in the Form of an Urban Mobile Application

et al. 2021

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“…Accordingly, it is possible to apply such medical big data-based AI in the medical industry to create new values, such as customized medical services and disease-prevention initiatives, thereby changing the smart-health paradigm. The information extraction of such a new paradigm makes it possible to provide more accurate and proper information than that provided by classical statistics-based research [5,6]. This will be helpful by saving medical costs, increasing the quality of medical services, and improving national health.…”

Section: Introductionmentioning

confidence: 99%

Deep Learning-based Evolutionary Recommendation Model for Heterogeneous Big Data Integration

2020

KSII TIIS

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This study proposes a deep learning-based evolutionary recommendation model for heterogeneous big data integration, for which collaborative filtering and a neural-network algorithm are employed. The proposed model is used to apply an individual's importance or sensory level to formulate a recommendation using the decision-making feedback. The evolutionary recommendation model is based on the Deep Neural Network (DNN), which is useful for analyzing and evaluating the feedback data among various neural-network algorithms, and the DNN is combined with collaborative filtering. The designed model is used to extract health information from data collected by the Korea National Health and Nutrition Examination Survey, and the collaborative filtering-based recommendation model was compared with the deep learning-based evolutionary recommendation model to evaluate its performance. The RMSE is used to evaluate the performance of the proposed model. According to the comparative analysis, the accuracy of the deep learning-based evolutionary recommendation model is superior to that of the collaborative filtering-based recommendation model.

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“…Many services providing a variety of contents such as Social Network Service (SNS), Video On Demand (VOD) using these wireless network is increasing [1][2][3]. This causes the contents server and data traffic of network is increasing rapidly and a variety of problems such as QoS degradation come up by an overload of communication equipment that mobile operators provide [4,5].…”

Section: Introductionmentioning

confidence: 99%

A Study on Stable Data Transmission Using Hierarchical Share Group in Mobile Ad Hoc Network

Yang

Sun

2015

Wireless Pers Commun

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Recently, various services providing various contents using them have emerged while mobile devices such as smartphone has spread widely. As a result, network traffics are increasing rapidly and various problems such as QoS degradation have occurred. P2P is the technique that can reduce network bandwidth and computing resources. P2P technique in a wireless network environment gained a lot of popularity and MANET-based P2P technique among them has been studied actively. However, MANET has many problems by a stable connectivity between nodes and low bandwidth because it is consisted of only mobile nodes. In this paper, we proposed a hierarchical sharing group configuration techniques in order to provide a stable connection between the mobile nodes and reduce the load of network traffic and overhead of sharing group reconfiguration. Sharing Group Member Node was applied sub-sharing group generation techniques with neighboring nodes of 1-hop distance to reduce traffic for file sharing. We did comparative experiment with PDSR technique to evaluate the performance of proposed technique and confirmed the excellent performance by experiments.

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Picocell based telemedicine health service for human UX/UI

Cited by 21 publications

References 25 publications

The Concept of a Smart City Communication in the Form of an Urban Mobile Application

The Concept of a Smart City Communication in the Form of an Urban Mobile Application

Deep Learning-based Evolutionary Recommendation Model for Heterogeneous Big Data Integration

A Study on Stable Data Transmission Using Hierarchical Share Group in Mobile Ad Hoc Network

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