• Title/Summary/Keyword: 협업방식

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Analysis of Z Generation's Collaborative Information Activities through Challenges: Focusing on Korean College Students (챌린지에 나타난 Z세대의 협업 정보 활동 - 국내 대학생을 중심으로 -)

  • Ji Hei Kang
    • Journal of Korean Library and Information Science Society
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    • v.55 no.1
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    • pp.173-192
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    • 2024
  • Through a survey of college students, this study explained the process and aspects of how Generation Z interacted with information while collaborating on a daily basis. Applying the Radical Change Theory, the study investigated the platforms through which university students engaged in challenges and their information behaviors. University students primarily participated in challenges using platforms such as Instagram and Naver Blog. In terms of changes in information seeking, which is the first type of information seeking in the theory, a wide and diverse range of information behaviors were observed, with the way of searching for information being quite different from when the digital age arrived 10 years ago. Information sources included not only digitalized ones but also traditional sources such as printed materials and personal contacts. The utilization of various media types was prominent, and collaborative efforts were voluntarily undertaken for challenges. In terms of changing perspectives, type 2 of information behavior, the main motivation for acquiring information and securing knowledge led to participation in the challenge. Participants exhibited a sense of community consciousness, including mutual influence awareness, social participation consciousness, and emotional connection.

A Study on the Needs Analysis of University-Regional Collaborative Startup Co-Space Composition (대학-지역 연계 협업적 창업공간(Co-Space) 구성 요구도 분석)

  • Kim, In-Sook;Yang, Ji-Hee;Lee, Sang-Seub
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.18 no.1
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    • pp.159-172
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    • 2023
  • The purpose of this study is to explore a collaborative start-up space(Co-Space) configuration plan in terms of university-regional linkage through demand analysis on the composition of university-regional linkage startup space. To this end, a survey was conducted for request analysis, and the collected data were analyzed through the t-test, The Lotus for Focus model. In addition, FGI was implemented for entrepreneurs, and the direction of the composition of the university-region Co-Space was derived from various aspects. The results of this study are as follows. First, as a result of the analysis of the necessity of university-community Co-Space, the necessity of opening up the start-up space recognized by local residents and the necessity of building the start-up space in the region were high. In addition, men recognized the need to build a space for start-ups in the community more highly than women did women. Second, as a result of analysis of demands for university-regional Co-Space, the difference between current importance and future necessity of university-regional Co-Space was statistically significant. Third, as a result of analysis on the composition of the startup space by cooperation between universities and regions, different demands were made for composition of the startup space considering openness and closeness, and for composition of the startup space size. The implications of the study are as follows. First, Co-Spaces need to be constructed in conjunction with universities in accordance with the demands of start-up companies in the region by stage of development. Second, it is necessary to organize a customized Co-Space that takes into account the size and operation of the start-up space. Third, it is necessary to establish an experience-based open space for local residents in the remaining space of the university. Fourth, it is necessary to establish a Co-Space that enables an organic network between local communities, start-up investment companies, start-up support institutions, and start-up companies. This study is significant in that it proposed the regional startup ecosystem and the cooperative start-up space structure for strengthening start-up sustainability through cooperation between universities and local communities. The results of this study are expected to be used as useful basic data for Co-Space construction to build a regional start-up ecosystem in a trend emphasizing the importance of start-up space, which is a major factor affecting start-up companies.

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Proposition of System Algorithm for Implement Machine Socialization Environment (Machine Socialization 환경 구현을 위한 시스템 알고리즘 제안)

  • Kim, Wung-Jun;Im, Hyeok;Hwang, Jong-Seon;Jeong, Ji-O;Jung, Hoe-Kyung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.05a
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    • pp.595-597
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    • 2015
  • In recent years, global Internet of Things is being fostered by strategic industry in major countries (IoT: Internet of Things) technology is the future Internet -based context-aware infrastructure capable of communication between objects and things. Existing technology was only a single device control via P2M (Puman to Machine) method and simple sensor data to someone directly control the devices down command. However, a kind of IoT Machine Socialization of devices, each device uses an internal feature information, and M2M (Machine to Machine) devices in ways that expand the overall scenario collaboration system through the Device Manager. In this paper, an algorithm of the whole system of the Machine Socialization for changing the system of the conventional system of P2M by M2M, and analysis.

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Collaborative Filtered Enhanced Recommendation System Using BERT (BERT를 이용한 협업 필터링 강화 추천 시스템)

  • Jin-Bae Kim;Young-Gon Kim;Jung-Min Park
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.24 no.5
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    • pp.61-67
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    • 2024
  • In recent years, artificial intelligence and deep learning technologies have made significant advances, and the BERT model has been recognized for its excellent contextual understanding in natural language processing based on the transformer architecture. This performance has the potential to take traditional recommendation systems to the next level. In this study, we adopt an approach that combines a collaborative filtering approach with a deep learning model to improve the performance of recommendation systems. Specifically, we implemented a system that uses BERT to analyze the sentiment of user reviews and embed users based on these review sentiments to find and recommend users with similar tastes. In the process, we also utilized Elasticsearch, an open-source search engine, for quick search and retrieval of recommended results. The approach of analyzing users' textual data to increase the accuracy and personalization of recommendations will play an important role in improving the user experience on various online services in the future.

A Study of Mobile Collaboration Environment based on Distributed Object Group Framework and Its application (분산객체그룹프레임워크 기반 모바일 협업 환경 및 적용에 관한 연구)

  • Kim, Dong-Seok;Jeong, Chang-Won;Joo, Su-Chong
    • The KIPS Transactions:PartD
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    • v.13D no.6 s.109
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    • pp.847-856
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    • 2006
  • In this paper, we suggested a mobile collaboration framework for supporting mobile services among mobile devices, and designed and implemented on this environment. The suggested framework has three elements; groups of sensors and mobile devices(Fixed and Moving-typed PDAs) and a home server. We designed interfaces for interactions with each other in collaboration environment with three elements described above. The information collected by sensors can be share and exchanged by mobile devices or a home server in accordance with Push and Pull methods. This framework is based on the distributed object group framework(DOGF) we implemented before. Therefore the DOGF provides functions of object group management, storing information and security services to our mobile collaboration framework via application interfaces defined. The information collected by sensors is arranged according to user's security 'demands. And user profile information is used for checking authority of each service object. Each component for executing functions of mobile devices and a home server is implemented by TMO scheme. And we used the TMOSM for interactions between distributed components. Finally, we showed via GUI the executablity of a given healthcare application scenario on our mobile collaboration framework.

The Framework of the Transition of UX Design Workshops into the non-Face-to-Face (UX 디자인 워크숍 비대면 전환 프레임워크 연구)

  • Seong, Dain;Ha, Kwang-Soo
    • The Journal of the Korea Contents Association
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    • v.22 no.3
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    • pp.309-321
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    • 2022
  • As the spread of COVID19 has compelled activities in various fields to transform to adapt to the non-face-to-face environment, various activities have either already been transitioned into non-face-to-face methods or been searching for alternative methods to carry out activities in a non-face-to-face manner. However, there are apparent limits in handling this transition with the pre-existing digital technology. Ironically, said limitations are more apparent in the UX design field that has thus far emphasized resolutions based on digital technology. The reason for this stems from the nature of UX design which strongly emphasizes the importance of collaboration. Especially, in the field of UX design, problems are expected to surface under areas of communication and collaboration in workshops, which are productive means of collecting the ideas of interested parties and coming up with other new ideas. Based on the aforementioned rise of necessity, this study aims to assess the characteristics of workshops in the field of UX design and suggest an effective method of transitioning UX workshops into a non-face-to-face environment. Along the line of this process, this study has created a standard process in regards to design workshops with active creation, suggestion, and acceptance of ideas, among the various types of workshops defined by the Nielsen Norman Group. This study also developed a framework consisting of non-face-to-face workshops by combining with the standard process the methodologies of workshop activation and non-face-to-face services meant for communication and designing activities, and confirmed the adaptability and the effectiveness of said transition against various types of workshops. Application of the results of this study is expected to effectively lead the transition into the non-face-to-face environment and improve the collaborative efforts of the interested parties via workshops.

Attention Based Collaborative Source-Side DDoS Attack Detection (어텐션 기반 협업형 소스측 분산 서비스 거부 공격 탐지)

  • Hwisoo Kim;Songheon Jeong;Kyungbaek Kim
    • The Transactions of the Korea Information Processing Society
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    • v.13 no.4
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    • pp.157-165
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    • 2024
  • The evolution of the Distributed Denial of Service Attack(DDoS Attack) method has increased the difficulty in the detection process. One of the solutions to overcome the problems caused by the limitations of the existing victim-side detection method was the source-side detection technique. However, there was a problem of performance degradation due to network traffic irregularities. In order to solve this problem, research has been conducted to detect attacks using a collaborative network between several nodes based on artificial intelligence. Existing methods have shown limitations, especially in nonlinear traffic environments with high Burstness and jitter. To overcome this problem, this paper presents a collaborative source-side DDoS attack detection technique introduced with an attention mechanism. The proposed method aggregates detection results from multiple sources and assigns weights to each region, and through this, it is possible to effectively detect overall attacks and attacks in specific few areas. In particular, it shows a high detection rate with a low false positive of about 6% and a high detection rate of up to 4.3% in a nonlinear traffic dataset, and it can also confirm improvement in attack detection problems in a small number of regions compared to methods that showed limitations in the existing nonlinear traffic environment.

Time Sounded Context Detection using Context Fusion in Wireless Sensor Networks (컨텍스트 퓨전을 통한 센서 네트워크에서의 시간 제약 컨텍스트 탐지 기법)

  • Ahn, Sung-Jin;Kim, Dae-Young
    • Proceedings of the Korean Information Science Society Conference
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    • 2005.11a
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    • pp.184-186
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    • 2005
  • 본 논문은 시간 제약 조건을 갖는 컨텍스트(상황)에 대한 분산적 탐지 기법(PROCON)을 제안한다. 수집한 데이터를 베이스 스테이션으로 모아 컨텍스트의 발생 여부를 결정하는 기존의 중앙집중 기법과 달리 PROCON은 네트워크 내에서 능동적, 분산적 방식으로 센서 노드 간의 협업을 통하여 컨텍스트를 결정한다. 따라서, 컨텍스트의 발생여부 탐지와 이에 대한 대응(Actuation)이 베이스 스테이션에 독립적으로 네트워크 내에서 모두 이루어진다. 본 논문은 다양한 상황구성에 대한 시뮬레이션을 통해 PROCON의 분산 상황방식이 기존의 중앙집중 방식에 비해 상당한 에너지 절약과 서비스 신뢰성(reliability) 향상을 가져온다는 것을 보인다.

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Mobile DB Service of P2P Environment (P2P 환경에서 모바일 데이터베이스 서비스)

  • Kim, Dong Hyun
    • The Journal of the Korea institute of electronic communication sciences
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    • v.1 no.1
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    • pp.36-41
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    • 2006
  • P2P file sharing environment of the wireless environment of the client and server without using expensive, unlike the way from client to server, personla, you can minimize the waste of material resources. Operations also increase the number of users, such as increased collaboration and provide benefits.

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Implementation of Traceability in Production Process Using RFID (RFID를 활용한 생산공정 Traceability 구축 사례연구)

  • Ryou, Ok-Hyun;Lee, Jae-Kwang;Noh, Seong-Ho
    • 한국IT서비스학회:학술대회논문집
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    • 2006.11a
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    • pp.517-522
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    • 2006
  • 본 논문은 RFID를 활용하여 자동차 제조 분야의 Traceability 구축 사례를 연구한 것이다. 전통적인 자동차 제조 환경 분석을 통하여 자동차 제조 분야의 Traceability 구축의 필요성과 RFID 기술의 적용 가능성을 분석하였다. RFID 기술을 활용한 통한 Traceability 구축을 위한 제조 및 공급망 관련 프로세스의 변경 내용 및 효과에 대하여 분석하였다. 실제 사례 기업은 Traceability 구축을 통하여 기존의 일 단위 결산 재고방식에서 실시간 재고방식으로 전환할 수 있게 되었으며, 상주원의 재고량 판단으로 부품 공급 시기와 양을 결정했던 방식에서 실시간 정보전달로 입고와 불출량 결정할 수 있게 되어 사내부품고의 최소 최적화가 가능하게 되었으며, 납입지시 신뢰도 향상 및 정보이용범위 확대(트래킹, 품질정보 등)를 통한 오보충 및 재고 진부화 방지 효과를 얻고 있다. 본 논문은 사례 기업의 Traceability 구축 과정에서 프로세스 변경, 관리 내용의 변경, RFID 기술의 적용 부분, 협력사와의 협업 등에 관련된 주요 이슈에 대하여 분석하여 향후 관련 분야의 Traceability 구축시 고려 요소 및 시사점을 제시하였다.

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