• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.10
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• pp.2217-2223
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• 2012

As smartphone users are over 20 million, companies, which offer cloud computing services, try to support various mobile devices. If so, users can use the same cloud computing service using mobile devices, as sharing document. When user share the work, there are problem in configuration management, data confidentiality and integrity. In this paper, we propose a method that cloud computing users share document efficiently, edit encrypted docuements, and manage configuration based on homomorphic encryption, which integrity is verifiable.

• The KIPS Transactions:PartA
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• v.19A no.1
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• pp.61-68
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• 2012

Since the increasing use of smart devices such as smartphone and tablet PC improves the quality of convergence of broadcasting and telecommunication, many new media have been created. This smart device can provide personal environments based on user's profile (age, gender, and job) and current location. In addition, it can be regarded as a media platform with two-way communication. This paper proposes personalized message syndication, called PMS, based on smart devices and then analyzes its business and technical issues. The PMS service as a smart media provides consumers customized information and can be used for producer's marketing tools which can lead consumers' heart and participation.

• Journal of Broadcast Engineering
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• v.24 no.6
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• pp.1064-1071
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• 2019

Multiview stereo matching algorithm is used to reconstruct 3D shape from a set of 2D images. Conventional multiview stereo algorithms have been implemented on high-performance hardware due to the heavy complexity that contains a large number of calculations in each step. However, as the performance of mobile graphics processors has recently increased rapidly, complex computer vision algorithms can now be implemented on mobile devices like a smartphone and an embedded board. In this paper we parallelize an multiview stereo algorithm using OpenCL on mobile GPU and provide various optimization techniques on the embedded hardware with limited resource.

• KIPS Transactions on Computer and Communication Systems
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• v.2 no.12
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• pp.525-532
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• 2013

Recently smartphones, tablet, etc. Various types of smart terminal is due to the increased security in mobile devices are becoming an issue. How to enter the password in this environment is a very important issue. Difficult to have a secure password input device on various types of mobile devices. In addition you enter on the touch screen the password of character, uncomfortable and it is vulnerable to SSA attack. Therefore, in this paper provide for defense the SSA(Shoulder Surfing Attacks) and useful password input mechanism is proposed with Smartphone GPS uses a value generated via a graphical password techniques.

• Journal of KIISE
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• v.44 no.3
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• pp.323-331
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• 2017

Due to the recent developments of various smart devices, U-healthcare services using these appliances has increased. However, the security of U-healthcare services is a very important issue since healthcare services contain highly sensitive and private personal health information. In order to handle the security issues, the functionality of encrypting medical information must be provided, and an encryption key exchange method is necessary. In this paper, we propose a key exchange protocol by utilizing smart devices for secure U-healthcare services. The proposed protocol has been designed based on the elliptic curve based public key cryptography, providing high level security for smart devices by using short keys. Moreover, in order to strengthen user authentication and security, a smart watch is used as a complementary device, whenever the key exchange protocol is performed.

• Journal of Digital Convergence
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• v.11 no.11
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• pp.795-801
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• 2013

As the life which existed only offline has changed into a life part of which is led online, it is an important problem to identify whether an online user is legitimate one or not. Biometric authentication technology was developed to identify the user more correctly either online or in offline daily life. Biometric authentication is a technology where a person is identified by his or her unique characteristics, and is highlighted as a next-generation authentication technology replacing password. There are various kinds of traits unique to each individual, and biometric authentication technologies drawing on such traits use various devices and algorithms. Firstly, this paper classified such various biometric authentication technologies, and analyzed the effects of them when they are applied on smartphone, smartwatch and M2M of the different devices platforms. Secondly, it suggested the effectiveness-based AIB(Authentication for Integrated Biometrics) authentication technique, a comprehensive authentication technique, which can be used in different devices platforms. We have successfully included the establishment scheme of the effectiveness authentication using biometrics.

• Journal of Digital Convergence
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• v.19 no.1
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• pp.11-22
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• 2021

The COVID-19 pandemic has led to distance learning in primary and secondary school. Little has been known whether home ICTs environment is appropriate for the distance learning. This paper aims to assess the current state of ICTs environment at home for the distance learning of children. Using 2012 and 2019 Korean Media Panel Survey, we investigated the number of smart devices owned by households and found differences in ownership by household characteristics. The results showed that the majority of household owned more than one smart devices per child. However, the difference in the proportion of households with less than one device per child varied depending on whether smartphone was included in smart devices. These results imply that public intervention is needed to prevent educational inequality caused by the home ICTs environment for the distance learning.

• Journal of the Korea Convergence Society
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• v.11 no.5
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• pp.9-17
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• 2020

Human activity recognition(HAR) using smartphones is a hot research topic in computational intelligence. Smartphones are equipped with a variety of sensors. Fusing the data of these sensors could enable applications to recognize a large number of activities. However, these devices have fewer resources because of the limited number of sensors available, and feature selection and classification methods are required to achieve optimal performance and efficient feature extraction. This paper proposes a smartphone-based HAR scheme according to these requirements. The proposed method in this paper extracts time-domain features from acceleration sensors, gyro sensors, and barometer sensors, and recognizes activities with high accuracy by applying KDA and SVM. This approach selects the most relevant feature of each sensor for each activity. Our comparison results shows that the proposed system outperforms previous smartphone-based HAR systems.

• ETRI Journal
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• v.35 no.6
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• pp.1094-1104
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• 2013

Home appliance manufacturers have recently been trying to provide smart products capable of various Internet services. For example, one health care manufacturer provides a Wi-Fi-capable scale. Once users register their information with the manufacturer's server, their weight and body fat records are automatically uploaded to the server whenever they measure their weight. The users can then watch and check their weight log easily using a smart device, such as a smartphone or tablet. One of the biggest problems, however, is that the initial configuration of the appliances and the user registration process may be quite complicated to typical users who are unfamiliar with such IT devices. This paper proposes an autoconfiguration system structure and protocol for Internet-capable home appliances, which supports the initial configuration and remote maintenance service of the device with only little user effort. Manufacturers can develop their own information appliances and provide differentiated services using the proposed system and protocol.

• International Journal of Advanced Culture Technology
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• v.5 no.2
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• pp.98-105
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• 2017

Smartphones are fast growing in the IT market and are the most influential devices in our daily life. Smartphones are being studied for their use in body sensor networks with excellent processing power and wireless communication technology. In this paper, we propose a coordinator design that provides data collection, classification, and display using based on Android-smartphone in multiple sensor nodes. The coordinator collects data of sensor nodes that measure biological patterns using wireless communication technologies such as Bluetooth and NFC. The coordinator constructs a network using a multiple-level scheduling algorithm for efficient data collection at multiple sensor nodes. Also, to support different protocols between heterogeneous sensors, a data sheet recording wireless communication protocol information is used. The designed coordinator used Arduino to test the performance of multiple sensor node environments.