• Korean journal of aerospace and environmental medicine
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• v.30 no.3
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• pp.100-107
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• 2020

Internet of Things (IoT) is a technology that communicates data between devices, which are things, using an embedded sensor connected through network backbone such as the internet. Here, data communication technology, sensor technology, and actuator (interface) technology are fused into IoT and it turns devices into smart things. As a result, vast sized data are being generated and that data is being processed into useful actions that can control the things that are devices to make our lives much fruitful. Nowadays, the IoT, early defined as Machine-to-Machine (M2M) connection, becomes a key technology powered by growing innovation of wireless communication trends in the internet connectivity through mobile networking. This paper gives an overview of Internet of Things and brief information about major technologies and its applications in various fields focusing aviation.

• Journal of Korea Multimedia Society
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• v.17 no.8
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• pp.995-1011
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• 2014

In consideration of the rapid changes in the so-called information society of the $21^{st}$ century, about 80% of a total population in Korea has used the Internet. However, the social effect of the Internet and related devices has not been yet systematically studied in the literature. In healthcare as well, consumers' efficient use of the Internet for their positive health outcomes is becoming an issue. The purpose of this study was to analyze the medical subject headings keywords of the selected studies on consumers' use of Internet and mobile health information. For the analysis, social network analysis was used to provide basic information to present directions for future research on the field of interest.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.8
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• pp.3090-3102
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• 2015

The accuracy of an augmented reality (AR) application is highly dependent on the resolution of the object's image and the device's computational processing capability. Naturally, a mobile smart device equipped with a high-resolution camera becomes the best platform for portable AR services. AR applications require significant energy consumption and very fast response time, which are big burdens to the smart device. However, there are very few ways to overcome these burdens. Computation offloading via mobile cloud computing has the potential to provide energy savings and enhance the performance of applications executed on smart devices. Therefore, in this paper, adaptive mobile computation offloading of mobile AR applications is considered in order to determine optimal offloading points that satisfy the required quality of experience (QoE) while consuming minimum energy of the smart device. AR feature extraction based on SURF algorithm is partitioned into sub-stages in order to determine the optimal AR cloud computational offloading point based on conditions of the smart device, wireless and wired networks, and AR service cloud servers. Tradeoffs in energy savings and processing time are explored also taking network congestion and server load conditions into account.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.3
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• pp.952-973
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• 2021

In recent years, mobile devices have become an essential part of daily life. More and more applications are being supported by mobile devices thanks to edge computing, which represents an emergent architecture that provides computing, storage, and networking capabilities for mobile devices. In edge computing, heavy tasks are offloaded to edge nodes to alleviate the computations on the mobile side. However, offloading computational tasks may incur extra energy consumption and delays due to network congestion and server queues. Therefore, it is necessary to optimize offloading decisions to minimize time, energy, and payment costs. In this article, different offloading models are examined to identify the offloading parameters that need to be optimized. The paper investigates and compares several optimization techniques used to optimize offloading decisions, specifically Swarm Intelligence (SI) models, since they are best suited to the distributed aspect of edge computing. Furthermore, based on the literature review, this study concludes that a Cuckoo Search Algorithm (CSA) in an edge-based architecture is a good solution for balancing energy consumption, time, and cost.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.12
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• pp.6152-6168
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• 2017

Recently, the biometric-based authentication systems such as FIDO (Fast Identity Online) are increased in mobile computing environments. The biometric-based authentication systems are performed on the mobile devices with the battery, the improving energy efficiency is important issue. In the case, the size of images (i.e., face, fingerprint, iris, and etc.) affects both recognition accuracy and energy consumption, and hence the tradeoff analysis between the both recognition accuracy and energy consumption is necessary. In this paper, we propose an energy-efficient way to authenticate based on biometric information with tradeoff analysis between the both recognition accuracy and energy consumption in multimedia IoT (Internet of Things) transmission environments. We select the facial information among biometric information, and especially consider the multicore-based mobile devices. Based on our experimental results, we prove that the proposed approach can enhance the energy efficiency of GABOR+LBP+GRAY VALUE, GABOR+LBP, GABOR, and LBP by factors of 6.8, 3.6, 3.6, and 2.4 over the baseline, respectively, while satisfying user's face recognition accuracy.

• International journal of advanced smart convergence
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• v.7 no.2
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• pp.47-54
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• 2018

This paper is a study on implementation of the golf play advice system which provides advice to golfers through mobile devices. The system consists of a mobile unit consisting of a GPS receiver, a data transmitter and receiver, and a display unit, and a server unit composed of a database and advice generator. The advice generator that provides advices to the users, generates advices with IF-THEN rule-based reasoning method. The reasoning module utilizes golfer's personal records and various information in the database of the server unit. This system provides the advice to the users who play on the golf course through mobile devices, so that it is possible to provide various information similar to the screen golf using the computer simulating technology in the outdoor golf course.

• Journal of the Korea Convergence Society
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• v.6 no.2
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• pp.43-48
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• 2015

Web 2.0/3.0 in accordance with the evolution of information technology environment to meet the expansion needs to order, a wide range of mobile internet devices spread in mobile app, mobile web, mobile webapp and hybrid app environment that is based on all the information technology industry in the mobile painter been progressing rapidly. However, the need to gradually ensure compatibility of mobile services in the life cycle of the appearance and reality of these devices is becoming increasingly diverse mobile devices has emerged shortened. Therefore, in this study to suggest the best infographics design the structure and framework of the future mobile environment through a study of the use of the N-Screen convergence in mobile wepapp environment.

• Knowledge Management Research
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• v.18 no.4
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• pp.237-260
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• 2017

Recently, with the proliferation of smart phones and mobile devices and the increase in the speed of mobile Internet, IT services are increasingly used in smart phones and mobile devices in a different way from the past. That is, a cloud service that downloads and uses data stored in the server in real time is expanding, and as a result, the security due to the continuous Internet connection of the user becomes a problem. In this study, we analyzed the relationship between factors affecting the continuous use of personal cloud service by using technology acceptance model. In addition to the technology acceptance model, confidentiality, privacy, accessibility, innovation, and self-efficacy were extracted from the existing research with emphasis on the characteristics of the cloud service and security factors. Moreover, the difference of intention to use among genders was verified through structural equation modeling with survey data from 262 personal cloud service users.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.12
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• pp.5174-5190
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• 2016

Recent years have witnessed an explosive growth of mobile devices, mobile cloud computing services offered by these devices and the remote clouds behind them. In this paper, we noticed ultra-low latency service, as a type of mobile cloud computing service, requires extremely short delay constraints. Hence, such delay-sensitive applications should be satisfied with strong QoS guarantee. Existing solutions regarding this problem have poor performance in terms of throughput. In this paper, we propose an end-to-end bandwidth resource reservation via software defined scheduling inspired by the famous SDN framework. The main contribution of this paper is the end-to-end resource reservation and flow scheduling algorithm, which always gives priority to delay sensitive flows. Simulation results confirm the advantage of the proposed solution, which improves the average throughput of ultra-low latency flows.

• Journal of Digital Convergence
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• v.9 no.4
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• pp.1-8
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• 2011

A mobile device is a handheld device, typically having a display screen with touch input and/or a miniature keyboard and accessible to the Internet. Because mobile devices are innovative and rapidly changing products, consumers are confronted with a decision-making problem to select the best device. This paper proposes an Analytic Hierarchy Process method to assess mobile devices and shows a method to select best mobile devices when purchasing. For this paper, the mobile devices considered as in the AHP model included net-book, tablet PC, smart phone, and camera phone. We derived 6 main criteria and 15 sub-criteria to synthesize the overall priority of criteria and mobile devices. The criterion of convenience in carrying showed the highest rank in the criteria. Although smart phones had the highest priority, the four mobile devices did not show significant differences in consumer preference.