• Proceedings of the Korea Information Processing Society Conference
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• 2009.04a
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• pp.562-565
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• 2009

웹 2.0시대의 대표적인 특징인 폭소노미(folksonomy)는 웹에 존재하는 리소스에 대해 구성원이 자유롭게 선택한 태그(tag)를 붙여서 정보를 체계화하는 새로운 분류 체계이다. 폭소노미를 기반으로하는 웹 애플리케이션 시스템에는 WWW를 이용하는 전 세계의 수많은 사용자들의 다양한 데이터가 축적되어 있으며, 이러한 웹 데이터는 계속적으로 증가 확장 변화하고 있다. 본 논문에서는, 방대한 양의 폭소노미 데이터로부터 유용한 정보를 추출하기 위해 형식개념분석기법을 기반으로, 사용자, 태그, 리소스들 사이의 3항관계를 고려한 폭소노미 데이터 마이닝 기법을 제안하고, 본 연구에서 제안한 기법을 BibSonomy의 데이터에 적용하여 분석한 실험 결과를 보고한다.

• Journal of Society of Preventive Korean Medicine
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• v.19 no.2
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• pp.103-112
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• 2015

Objective : To evaluate the status of mobile personal health records (mPHR) applications of Atopic Dermatitis, assessing general characteristics, information content, features of PHR content and functions. Method : Searches were conducted from Android's Google Play and iOS's App Store. Main criteria used to include mPHRs were: providing health information of PHR function of Atopic Dermatitis; operating in Korean or English; for human. Selected mPHRs were analyzed considering general characteristics, information contents, data elements, and application features. Results : 19 applications were included in this study. 15 were providing health information. Data elements of information included general information, symptom, diagnosis, treatment, prevention, management and FAQ. No single application contained all seven data elements. Only Eight applications had PHR function. In the features analysis, one PHR applications contained all eight PHR functional features; saving profile function, profiles supported, password, import data, export data, information provided, progress chart and push-up alarm. Conclusion : mPHR is an emerging health care technology. The majority of existing mPHR applications only provide one-way information. Application designed to help users and doctors to exchange mutual information was the only one. Also, there was no application that can record the Traditional Korean Medicinal treatment information. However, as the mobile market continues to expand it is likely that more comprehensive mPHRs will be developed in the near future. New advancements in mobile technology can be utilized to enhance Tranditional Korean Medical health care.

• Journal of Korea Multimedia Society
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• v.2 no.2
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• pp.217-229
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• 1999

Framework is the set of interrelated classes, constructing reusable design in specific domain or set of abstracted classes, and defines common architecture among applications included in domain. Developers can reuse not only class code but also wide range of knowledge on domain by reusing framework. In this papers, we present COM(Component-Oriented Methodology) for the reuse of framework, and develop construction environment for framework and domain development. That is, domain is analyzed by input of domain knowledge on real world to create software based on component, and hotspot is identified through analyzed information, and redesigned(refactoring) by putting additional information on users and developers. After that, I will create domain framework and application framework depending on domain. In this Component-oriented methodology, information is searched, understood and extracted or composite through component-pattern library storage internally. Then this information is classified into the information on component and pattern respectively, and used as additional information in redesigning. With this, developer can obtain reusability, easiness and portability by constructing infrastructure environment that allow to register, update and delete component through Component Pattern Management System(CPMS) under the development environment which can be easily applied to his own application using multimedia component, in this thesis, CORBA(Common Object Request Broker Architecture) environment.

• The Journal of the Convergence on Culture Technology
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• v.10 no.2
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• pp.505-510
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• 2024

Since rolling contact fatigue cracks can always occur on the rail surface, which is the contact surface between wheels and rails, railway rails require thorough inspection and diagnosis to thoroughly inspect the condition of the cracks and prevent breakage. Recent detailed guidelines on the performance evaluation of track facilities present the requirements for methods and procedures for track performance evaluation. However, diagnosing and grading rail surface damage mainly relies on external inspection (visual inspection), which inevitably relies on qualitative evaluation based on the subjective judgment of the inspector. Therefore, in this study, we conducted a deep learning model study for rail surface defect detection using Fast R-CNN. After building a dataset of rail surface defect images, the model was tested. The performance evaluation results of the deep learning model showed that mAP was 94.9%. Because Fast R-CNN has a high crack detection effect, it is believed that using this model can efficiently identify rail surface defects.

• Journal of the Institute of Electronics and Information Engineers
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• v.54 no.7
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• pp.93-102
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• 2017

Recently increasing usage of smartphones makes the Internet of Things (IoT) a leading technology that can collect and share data through sensor networks and wireless communication such as low-power Bluetooth (BLE). BLE-based application can provide operators more precise information on Automatic Door system by remotely diagnosing the system faults through wireless sensor networks and sensors around the Automatic Door. In this paper, a smart device with extended BLE module is implemented which can monitor and Control the system states and faults remotely without on-site diagnostic. while maintaining system integrity so that increase efficiency of time and costs for system management. We can use the results of this research as a basis in evaluating reliability of data between devices, extending communication module in Controller of obsolete Door systems, and establishing centralized monitoring systems in near future with multi-channel Door Controls.

• The Journal of the Korea institute of electronic communication sciences
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• v.13 no.5
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• pp.1101-1108
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• 2018

This study is a study of the school zone safety system of the platform part in which processing between device and the application, gateway function processing, and application and service function are cooperatively processed. The device part is the beacons that are supported when the student moves in the school zone. And the section of application is a service announcement that applies to smartphones. Finally, the children's protection area sign shows the number of students registered at the gateway. Gateways operate in two types. The first type is a gateway installed to identify the movement of elementary school students. The second type is a gateway to identify students who have passed through the front door of the school. The IoT platform handles various service functions, child protection area panel support and student counter processing functions.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.29 no.2B
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• pp.279-288
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• 2004

Rapidly emerging P2P(Peer to Peer) applications generate very bursty traffic, which gives a lot of burden to network, and the amount of such traffic is increasing rapidly. Thus it is becoming more important to understand the characteristics of such traffic and reflect it when we design and analyze the network. To do that we measured the traffic in a campus network and present flow statistics and traffic models of the measured traffic, and compare them with those of the web traffic. The results indicate that P2P traffic is much burstier than web traffic and as a result it negatively affects network performance. We modeled P2P traffic using self-similar traffic model to predict packet delay and loss occurred in network which are very important to evaluate network performance. We also predict queue length distribution and loss probability in SSQ(Single Sewer Queue). To assess accuracy of traffic model, we compare the SSQ statistics of traffic models with that of the traffic trace. The results show that self-similar traffic models we use can predict P2P traffic behavior in network precisely. It is expected that the traffic models we derived can be used when we design network capacity and predict network performance and QoS of the P2P applications.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.11a
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• pp.663-664
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• 2009

OWASP에서 발표한 2007년 웹 애플리케이션 취약점 중 하나인 XSS 공격이 사용자 브라우저에서 스크립트를 실행하게 함으로써 사용자의 세션을 가로채거나 웜을 업로드하여 악성코드를 삽입하는 공격이다[2]. 하지만 많은 XSS 방어 기법에서는 단순 스크립트 우회기법과 강제적인 스크립트 차단 방법을 채택하고 있다. 또한 강제적인 XSS 필터 적용으로 과탐지로 인한 정상적인 웹 페이지가 출력 되지 않는 사례가 나타나고 있다. 따라서 본 연구는 효율적인 정규식을 이용하여 XSS 공격 특징을 분석하여 특징점들을 추출하고 이 특징점들을 기반으로 특정한 규칙을 가진 문자열들을 모든 문자가 유효한지 확인할 수 있는 정규식 표현 방법을 이용하여 다양한 응용프로그램에 적용할 수 있는 기술을 연구하고자 한다. 또한 이를 기반으로 포털 사이트와 브라우저에서 제공하는 XSS 필터들과 비교하여 과탐지율 및 오탐지율 서로 비교하여 본 연구가 효율성 면에서 효과가 있는지 우위를 둘 것이며, 브라우저 벤더, 포털 사이트, 개인 PC 등 충분한 시험 평가와 수정을 통해서 응용할 수 있는 계기를 마련할 것이다

• Journal of Broadcast Engineering
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• v.10 no.3
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• pp.413-421
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• 2005

As the population of HDTV is growing, among many useful features of modern set top boxes (STBs) or digital video recorders (DVRs), video browsing, visual bookmark, and picture-in-picture capabilities are very frequently required. These features typically employ reduced-size versions of video frames, or thumbnail images. Most thumbnail generation approaches generate DC images directly from a compressed video stream. A discrete cosine transform (DCT) coefficient for which the frequency is zero in both dimensions in a compressed block is called a DC coefficient and is simply used to construct a DC image. If a block has been encoded with field DCT, a few AC coefficients are needed to generate the DC image in addition to a DC coefficient. However, the bit length of a codeword coded with variable length coding (VLC) cannot be determined until the previous VLC codeword has been decoded, thus it is required that all codewords should be fully decoded regardless of their necessary for DC image generation. In this paper, we propose a method especially for fast DC image generation from an I-frame using multiple-symbol lookup table (mLUT). The experimental results show that the method using the mLUT improves the performance greatly by reducing LUT count by 50$\%$.

• Journal of Korean Academy of Nursing
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• v.46 no.3
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• pp.390-399
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• 2016

Purpose: The purpose of this study was to determine the effects of smartphone apps applying BodyThink program on BMI, percentage of body fat, skeletal muscle rate, body image, and self-esteem of adolescent girls. Methods: Sixty-eight high school girls with a BMI of over $25kg/m^2$ were recruited to participate in this study. Girls from four schools were divided into two groups: the experimental group, which used the smartphone apps applying BodyThink program, and the control group, which used smartphone apps and small group counseling. The experimental group received the BodyThink program 6 times, scheduled once a week, with each session lasting 40~50 minutes. Test measures were completed before and after the 6 week intervention period for all participants. Collected data was analyzed using Shapiro-Wilk test, descriptive statistics, ${\chi}^2$ test, independent t-test, Mann-Whitney U test with the SPSS/WIN 18.0 program. Results: The girls in the experimental group significantly improved their results in BMI(Z=-1.67, p=.042), percentage of body fat (Z=-3.01, p=.001), skeletal muscle rate (t=-3.50, p<.001), and self-esteem (t=2.66, p=.005) after the program, compared to the girls in the control group. Conclusion: Mobile applications applying psychological and emotional intervention programs have the potential to be effective alternative methods to improve the body composition and self-esteem of obese adolescent girls.