• Proceedings of the Korean Information Science Society Conference
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• 2002.10e
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• pp.499-501
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• 2002

현대 산업이 무선인터넷 산업구조, 이동통신 서비스 사업자 중심의 무선인터넷 사업 패러다임으로 변화되어 소형 임베디드(Embedded) 장비를 이용하여 장소의 제약없이 다양한 응용프로그램의 사용과 인터넷의 접속이 가능하게 되었다. 이에 본 논문에서는 플랫폼에 독립적인 자바기술을 이용하여 임베디드장비를 이용하여 지하철 운행시간 검색이란 응용프로그램을 구현하였다.

• Journal of Communications and Networks
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• v.16 no.5
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• pp.568-577
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• 2014

We consider a mobile content delivery network (mCDN) in which special mobile devices designated as caching servers (caching-server device: CSD) can provide mobile stations with popular contents on demand via device-to-device (D2D) communication links. On the assumption that mobile CSD's are randomly distributed by a Poisson point process (PPP), an optimization problem is formulated to determine the probability of storing the individual content in each server in a manner that minimizes the average caching failure rate. Further, we present a low-complexity search algorithm, optimum dual-solution searching algorithm (ODSA), for solving this optimization problem. We demonstrate that the proposed ODSA takes fewer iterations, on the order of O(log N) searches, for caching N contents in the system to find the optimal solution, as compared to the number of iterations in the conventional subgradient method, with an acceptable accuracy in practice. Furthermore, we identify the important characteristics of the optimal caching policies in the mobile environment that would serve as a useful aid in designing the mCDN.

• The Journal of the Convergence on Culture Technology
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• v.2 no.3
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• pp.29-34
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• 2016

This study is about developing an app that offers tourist information and it was made to search festivals, camping, and glamping regions near the area. Also, by providing cooking recipe, it was made to provide convenience at the tour site. While searching recommended regions, it offers help in searching accommodations and checking in and checking out process. If the service is expanded nation-wide from the Gyeonggido area that this study was applied to, it will be more convenient for users and if the service is expanded and coupled with local coupons, quality services will be provided.

• Journal of Korea Multimedia Society
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• v.9 no.5
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• pp.585-594
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• 2006

Due to the size limit, the voice coil motor (VCM) is adopted in most of the mobile phone camera to control auto-focus instead of step motor. The optical system using the VCM has the property that the focus values are varying even though the same current is induced. It means that an error of the lens position was taken placed due to the characteristics of the VCM. In this paper, a algorithm was proposed to compensate the lens position error using the step size and the search count of each stage. In the proposed algorithm -7 step middle searching stage is inserted the conventional searching algorithm for the fast auto-focus searching and the final searing step size was set to +1 for the precise focus control, respectively. In the experimental results, the focus values was found more fast in the proposed algorithm than the conventional. And more the image quality by the proposed algorithm was superior to that of the conventional.

• Journal of Korean Library and Information Science Society
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• v.42 no.4
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• pp.263-280
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• 2011

This study aims to investigate current status of mobile search services of Korean search portals, and analyze mobile unified search contents of Naver and Google Korea. In particular, this study analyzed characteristics of mobile unified search such as number of retrieved documents, collection distribution, and yearly distribution. Also, documents were evaluated in terms of relevance, credibility, and currency. This study compared quality of Naver's unified Web best and unified Web, and Google's best Web documents and Web documents. The correlation between document's ranking and document's relevance was analyzed. The results of this study can be implemented to the portal's effective development of mobile search service.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.2
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• pp.232-236
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• 2010

Nowadays, mobile users have a huge amount of multimedia contents and can use these contents anytime, anywhere by advance in computer and network techniques. However, users spend too much time for searching and managing these contents in web and local file system. Expecially, small and uncomfortable user interfaces of mobile devices make it difficult to search and manage multimedia contents. Therefore, an intelligent multimedia contents management technique is needed to use these contents more efficiently. In this paper, we propose a Personalized Mobile Multimedia Contents Provider (PMMCP) System which provides personalized multimedia contents based on users' psychological patterns and situations.

• Journal of information and communication convergence engineering
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• v.7 no.2
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• pp.203-208
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• 2009

Recently, improved capabilities of the mobile device is represented in a demand for same level services with the desktop device services but the service that is developed for desktop device is not compatible with mobile devices. To fulfill these demands, it is needed to provide services with considering features of mobile devices. This means that CP(Contents Provider) must do contents transformation in order to make suitable contents on mobile device. For managing some information that is required to do contents transformation, we need the DDR(Device Description Repository) which can store and search a variety of device information to grasp the constraints on the mobile device as compared with desktop devices. Also, defining standard API is required to offer a service regardless of platforms. Hereupon W3C(World Wide Web Consortium) introduced DDR Simple API. However that specifies the limited functions of DDR, which is inevitable to be added for more precise search services. In this paper, we expanded DDR Simple API and implemented DDR that supports DDL(Device Description Language) conversion and storing and searching device information.

• Proceedings of the KIEE Conference
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• 2002.11c
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• pp.159-162
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• 2002

This paper presents a modified localization scheme of a mobile robot. When it navigates, the position error of a robot is increased and doesn't go to a goal point where the robot intends to go at the beginning. The objective of localization is to estimate the position of a robot precisely. Many algorithms were developed and still are being researched for localization of a mobile robot at present. Among them, a localization algorithm named continuous localization proposed by Schultz has some merits on real-time navigation and is easy to be implemented compared to other localization schemes. Continuous Localization (CL) is based on map-matching algorithm with global and local maps using only ultrasonic sensors for making grid maps. However, CL has some problems in the process of searching the best-scored-map, when it is applied to a mobile robot. We here propose fast and powerful map-matching algorithm for localization of a mobile robot by experiments.

• Convergence Security Journal
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• v.8 no.4
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• pp.167-179
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• 2008

As ubiquitous technology develops, there are many studies to provide various contents proper to users through a mobile device. However, there is a limit of information provision due to a small user interface of a mobile device. This study proposes a system that can solve a problem and provide an intelligent agent model appropriate to a mobile environment and job information positively that an individual user is interested. It is composed of a personalization engine to monitor users' behavior patterns and a learning algorithm to provide information to a mobile device. Analysis shows that preferred job items are different by sex, age and education, while a region affects job searching significantly.

• Women's Health Nursing
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• v.27 no.3
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• pp.243-255
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• 2021

Purpose: This study aimed to develop a lifestyle modification (LSM) mobile application based on the Android operating system for overweight and obese breast cancer survivors (BCS) in Korea and evaluate its usability. Methods: The content analysis, design, development, implementation, and evaluation of the LSM intervention mobile application for overweight and obese BCS was conducted by identifying survivors' needs, searching the literature, and reviewing existing mobile applications. The survey was conducted from June 1 to December 28, 2020 at Jeonju, Korea. Results: The mobile application for BCS included dietary and exercise information, weight logs, as well as distress and daily achievement check. It also included information and videos on the prevention of breast cancer recurrence and used a communication bulletin board. Expert and user usability evaluation of its content and functions confirmed that it was appropriate and satisfactory for overweight and obese BCS. Conclusion: This LSM mobile application developed for overweight and obese BCS was found to be appropriate for use. It can be applied for further study of effectiveness on improving their health and maintaining a healthy lifestyle, to ultimately improve quality of life.