• Journal of the Korea Institute of Information and Communication Engineering
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• v.9 no.8
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• pp.1691-1695
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• 2005

Mobile P2P Service can compose free network from one client to another without central server function. Diversified Information & Data are able to be transmitted among peer to peer based upon extended mobile concept. In this paper Mobile P2P Service is applied to the program which gathering, sharing, analysis agricultural information and the natural disasters Information We desire to authenticate request about service to user who is administered between each user to limit connection. Wish to admit authentication mechanism to mechanism that can do information sharing suety in P2P environment to solve this in this treatise and design authentication mechanism.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.47 no.3
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• pp.212-219
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• 2019

As unmanned aerial vehicle (UAV) has been utilized for military operation, efficient ways for controlling UAV has been necessary. In particular, instead of conventional approach using console control, speech recognition based UAV control is essential for military environments in which rapid command operation is required. But research on this novel approach is not actively studied yet. In this study, we introduce efficient ways of speech recognition system operation for voice-driven UAV control, focusing on mission command control from manned aircraft rather than ground control center. We propose an efficient way of system operation for UAV control in cooperation of aircraft and UAV, and verify its efficiency via speech recognition experiment.

• Journal of KIISE:Computing Practices and Letters
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• v.12 no.6
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• pp.339-348
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• 2006

Recently, many researches on detecting and responding worms due to the fatal infrastructural damages explosively damaged by automated attack tools, particularly worms. Network service vulnerability exploiting worms have high propagation velocity, exhaust network bandwidth and even disrupt the Internet. Previous worm researches focused on signature-based approaches however these days, approaches based on behavioral features of worms are more highlighted because of their low false positive rate and the attainability of early detection. In this paper, we propose a Distributed Worm Detection Model based on packet marking. The proposed model detects Worm Cycle and Infection Chain among which the behavior features of worms. Moreover, it supports high scalability and feasibility because of its distributed reacting mechanism and low processing overhead. We virtually implement worm propagation environment and evaluate the effectiveness of detecting and responding worm propagation.

• Journal of Internet Computing and Services
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• v.7 no.6
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• pp.123-130
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• 2006

The transaction was happened within a single business entity or a single marketplace at the stage of e-business. It becomes to grow to complex form. Expecially, the need for business collaboration between business entities or marketplaces has being on the rise as the core topic. The format translation between documents is very important factor according to various the exchanged document formats. In this paper, we define ebXML as the basic format of exchanged document according to object-oriented business transaction. Also we design the multi-format translation system to support the translation of various document formats. The proposed system in this paper, is designed with model-driven method and it is possible to construct with various structure as for system environment. The proposed translation system is designed to use the proposed system as adding the corresponding parsing module even though any format of document. Also, we increase the reusability of data as using the common data set. In this paper, we prove the superiority of the proposed system to compare the performance with the legacy system for various format translation.

• Journal of Digital Contents Society
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• v.18 no.4
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• pp.707-712
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• 2017

As the amount of data increases exponentially, the recommender system is attracting interest in various industries such as movies, books, and music, and is being studied. The recommendation system aims to propose an appropriate item to the user based on the user's past preference and click stream. Typical examples include Netflix's movie recommendation system and Amazon's book recommendation system. Previous studies can be categorized into three types: collaborative filtering, content-based recommendation, and hybrid recommendation. However, existing recommendation systems have disadvantages such as sparsity, cold start, and scalability problems. To improve these shortcomings and to develop a more accurate recommendation system, we have designed a recommendation system as a factorization machine using actual online product purchase data.

• Journal of the Korea Society of Computer and Information
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• v.18 no.2
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• pp.107-116
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• 2013

In this paper, we propose a hybrid music recommendation system combining users' listening habits and tag information in a social music site. Most of commercial music recommendation systems recommend music items based on the number of plays and explicit ratings of a song. However, the approach has some difficulties in recommending new items with only a few ratings or recommending items to new users with little information. To resolve the problem, we use tag information which is generated by collaborative tagging. According to the meaning of tags, a weighted value is assigned as the score of a tag of an music item. By combining the score of tags and the number of plays, user profiles are created and collaborative filtering algorithm is executed. For performance evaluation, precision, recall, and F-measure are calculated using the listening habit-based recommendation, the tag score-based recommendation, and the hybrid recommendation, respectively. Our experiments show that the hybrid recommendation system outperforms the other two approaches.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.26-26
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• 2019

본 연구는 2016년부터 2017년까지 한국 정부가 선정한 다수의 도시재생사업 중 수변공간 관련 사업을 선별하여 세부내용을 살펴보고 수변공간 도시재생사업의 거버넌스 특성을 분석한다. 도시재생사업에서 거버넌스는 사업의 성패를 가르는 핵심 요소로 대두되고 있다. 특히, 협업을 통한 민간 커뮤니티의 역할과 주민참여는 더욱 중요한 비중을 갖게 되었다. 본 연구는 Tallon(2013)의 도시재생 거버넌스 네 가지 형태-관주도(top-down), 주민주도(bottom-up), 시장주도(market-led), 지주주도(property-led) 재생을 기준으로 도시재생사업 활성화계획의 세부내용을 분석한다. 향후 도시재생사업의 추진 및 시행단계에서 거버넌스의 역할이 제대로 작동할 수 있도록 시사점을 제공하고자 한다. 연구의 공간적 범위를 수변공간을 한정하여 분석한 결과 총 20개의 도시재생사업이 도심 내 하천변과 해안가를 활용하여 추진되고 있었다. 구체적인 사업의 형태로는 (1) 생태하천복원, (2) 역사문화자원을 연계한 수변관광지 개발, (3) 수변네트워크 녹지 산책로 조성 (4) 항구 기반 수변도시개발 및 도심재생, (5) 섬의 이점을 활용한 수변경관사업, (6) 조선업 침체지역재생 등이 있었다. 한국의 수변공간 도시재생사업은 가장 일반적인 도시재생방식인 '관주도'로 진행되고 있었다. 그러나 지역의 권한과 역할을 강화하고자 하는 노력은 우선시되고 있었다. 또한, 관계부처 및 공공기관과의 파트너십 구축을 통한 도시재생사업의 효과성 향상을 도모하고 있었다. 특히, 부산시 영도구와 경상남도 통영시의 도시재생사업에서 협업의 노력이 두드러지게 나타났다. '마을만들기'와 같은 주민주도의 도시재생방식은 '주민참여협의체'를 통하여 일부 반영되고 있었다. 예를 들어, 서울시 도봉 노원구, 인천시 부평구, 경상남도 김해시, 부산시 영도구 등이 해당한다. 그러나 구체적인 실천 방안을 통한 주민주도 도시재생 거버넌스를 구축하는데는 부족함을 보였다. 더불어 민간투자를 유치하는 시장주도의 도시재생 접근은 찾아볼 수 없었다. 도시재생사업의 장기적이고 통합적인 특성을 고려했을 때, 안정적인 도시재생사업 추진을 위한 재원 마련에 대한 지속적인 노력이 요구된다.

• The Korean Journal of Archival Studies
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• no.75
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• pp.135-176
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• 2023

The business management system is a standardized system commonly used by government agencies and is a major tool that remains in the work process and decision-making of government agencies. Production of document-type records is mainly focused on approval documents, so it does not cover various types of records. In a changing environment such as the production of new digital types of records, the emergence of various collaboration software and work systems, and remote work, it is necessary to think about the direction the government work management system will go. This study investigates business systems and utilization methods of competitive companies, analyzes the usage status of On-Nara 2.0, a government business management system, and conducts interviews with business managers. And the purpose is to analyze what kind of difference there is. In addition, we would like to suggest improvement functions and policy directions to respond to digital innovation and improve job accountability and efficiency.

• Journal of Internet of Things and Convergence
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• v.9 no.6
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• pp.37-44
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• 2023

As a primary technology of Industry 4.0, human-robot collaboration (HRC) requires additional measures to ensure worker safety. Previous studies on avoiding collisions between collaborative robots and workers mainly detect collisions based on sensors and cameras attached to the robot. This method requires complex algorithms to continuously track robots, people, and objects and has the disadvantage of not being able to respond quickly to changes in the work environment. The present study was conducted to implement a web-based platform that manages collaborative robots by recognizing the emotions of workers - specifically their perception of danger - in the collaborative process. To this end, we developed a web-based application that collects and stores emotion-related brain waves via a wearable device; a deep-learning model that extracts and classifies the characteristics of neutral, positive, and negative emotions; and an Internet-of-things (IoT) interface program that controls motor operation according to classified emotions. We conducted a comparative analysis of our system's performance using a public open dataset and a dataset collected through actual measurement, achieving validation accuracies of 96.8% and 70.7%, respectively.

• Proceedings of the Korean Information Science Society Conference
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• 2005.11a
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• pp.586-588
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• 2005

WebDAV는 HTTP/1.1을 확장한 윕통신 프로토콜로서 인터넷을 통하여 다양한 콘텐츠의 비동기적인 협업 제작을 지원하기 위한 표준 하부구조를 제공한다. WebDAV명세를 지원하는 다양한 종류의 서버들은 사용자 상호간의 협업작업이 가능하게 해준다. 그리고 WebDAV 클라이언트는 서버와 HTTP 요청/응답 과정을 통하여 WebDAV 기능을 수행한다. 하지만 클라이언트 자체적으로 요청/응답 과정을 처리하는 것은 매우 복잡할 뿐만 아니라 비효율적이다. 따라서 WebDAV 기능을 잘 처리할 수 있는 클라리언트 라이브러리를 사용하는 것이 바람직하다. 본 논문에서는 WebDAV 클라이언트의 HTTP 요청/응답 처리를 위한 DAVon 클라이언트 라이브러리를 개발하였다. DAVon은 객체지향 기법으로 설계되어 C 라이브러리보다 편리한 API를 제공하고 리눅스 QT 라이브러리를 기반으로 구현되었다. 그리고 QT의 시그널/슬록 방식을 사용하여 HTTP 요청을 비동기적으로 처리함으로써 클라이언트의 병행성을 효율적으로 지원한다.