• Title/Summary/Keyword: frequent convergence

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A Building Method of Designing National Cyber Security Governance Model Through Diagnosis of Operational Experience (정보보안체계 운영경험 진단을 통한 국가 사이버보안 거버넌스 모델 연구 방법)

  • Bang, Kee-Chun
    • Journal of Digital Convergence
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    • v.16 no.6
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    • pp.205-212
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    • 2018
  • This Study aims to propose a new information security governance model design method for streamlining security governance at national strategic level. The research method of this study is to diagnose our operational experience and to derive a new model design method. In the meantime, national information security activities were perceived to be focused on knowledge transfer, and motivation of activities and securing of executive power were weak. As a result, security blind spots and frequent occurrence of large security incidents have become unresolved challenges. National cyber security governance should be grouped together as a whole systematically from the upper policy to the lower level of performance under the responsibility of the national leader. Based on this approach, this study presented the comprehensive framework of Korean security governance model and embodied it into four architectural designs such as vision, goal, process, and performance, thus deriving the foundation for future national governance model design. Further research is needed to diagnose problems in life cycle flow, security policies based on environmental changes, and new frameworks in which all subjects participate.

Performance Enhancement Architecture including Location Information Secrecy for HLR System (위치 정보의 보안성이 고려된 가입자 위치등록기 시스템의 새로운 구조)

  • 김자환
    • Proceedings of the Korea Information Assurance Society Conference
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    • 2004.05a
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    • pp.103-108
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    • 2004
  • A Home Location Register(HLR) database system manages each subscriber's location information, which continuously changes in a cellular network. For this purpose, the HLR database system provides table management, index management, and backup management facilities. In this thesis, I propose using a two-level index method for the mobile directory number(MDN) as a suitable method and a chained bucket hashing method for the electronic serial number(ESN). Both the MDN and the ESN are used as keys in the HLR database system. I also propose an efficient backup method that takes into account the characteristics of HLR database transactions. The retrieval speed and the memory usage of the two-level index method are better than those of the T-tree index method. The insertion and deletion overhead of the chained bucket hashing method is less than that of the modified linear hashing method. In the proposed backup method, I use two kinds of dirty flags in order to solvethe performance degradation problem caused by frequent registration-location operations. I also propose using additional attributes in the HLR database scheme for location information secrecy as a suitable security method.

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Design and Implementation of OPC UA-based Collaborative Robot Guard System Using Sensor and Camera Vision (센서 및 카메라 비전을 활용한 OPC UA 기반 협동로봇 가드 시스템의 설계 및 구현)

  • Kim, Jeehyeong;Jeong, Jongpil
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.19 no.6
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    • pp.47-55
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    • 2019
  • The robot is the creation of new markets and various cooperation according to the manufacturing paradigm shift. Cooperative management easy for existing industrial robots, robots work on productivity, manpower to replace the robot in every industry cooperation for the purpose of and demand increases.to exist But the industrial robot at the scene of the cooperation working due to accidents are frequent, threatening the safety of the operator. Of industrial site is configured with a robot in an environment ensuring the safety of the operator to and confidence to communicate that can do the possibility of action.Robot guard system of the need for development cooperation. The robot's cooperation through the sensors and computer vision task within a radius of the double to prevent accidents and accidents should reduce the risk. International protocol for a variety of industrial production equipment and communications opc ua system based on ultrasonic sensors and cnn to (Convolution Neural Network) for video analytics. We suggest the cooperation with the robot guard system. Robots in a proposed system is unsafe situation of workers evaluating the possibility of control.

A Subjectivity Study on Nonverbal Communication Cues in Facebook (온라인에서의 비언어적 요소에 대한 주관성 연구: 페이스북을 중심으로)

  • Kim, Suhyeong;Lee, Jungwoo
    • Journal of Digital Convergence
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    • v.18 no.2
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    • pp.183-195
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    • 2020
  • Non-verbal communication cues seem to be increasingly used in social media, such as emoticon, like, follow, etc. A Q methodology study is conducted to explore this phenomenon. Via a series of focus group activities with Facebook heavy users, 34 Q statements concerning online non-verbal communication cues are derived. Different Facebook users conduct Q sorts of these statements based on frequent use basis. Analysis of Q sort result reveals three distinctive usage patterns of non-verbal communication cues in Facebook: 'safe distance keeping' type, 'observing hermit' type and 'fully dedicated aficionado' type. Discussions are made concerning different components of non-verbal communication cues utilized in these groups, respectively, which can provide a theoretical basis for social media design.

A Case Study on Machine Learning Applications and Performance Improvement in Learning Algorithm (기계학습 응용 및 학습 알고리즘 성능 개선방안 사례연구)

  • Lee, Hohyun;Chung, Seung-Hyun;Choi, Eun-Jung
    • Journal of Digital Convergence
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    • v.14 no.2
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    • pp.245-258
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    • 2016
  • This paper aims to present the way to bring about significant results through performance improvement of learning algorithm in the research applying to machine learning. Research papers showing the results from machine learning methods were collected as data for this case study. In addition, suitable machine learning methods for each field were selected and suggested in this paper. As a result, SVM for engineering, decision-making tree algorithm for medical science, and SVM for other fields showed their efficiency in terms of their frequent use cases and classification/prediction. By analyzing cases of machine learning application, general characterization of application plans is drawn. Machine learning application has three steps: (1) data collection; (2) data learning through algorithm; and (3) significance test on algorithm. Performance is improved in each step by combining algorithm. Ways of performance improvement are classified as multiple machine learning structure modeling, $+{\alpha}$ machine learning structure modeling, and so forth.

The impact of the privatization of a state-owned telecommunications carrier on universal service in Korea (한국통신 민영화가 보편적 서비스제도에 미친 영향)

  • Kim, Sung-Wook
    • Journal of Digital Convergence
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    • v.9 no.6
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    • pp.39-55
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    • 2011
  • Since telecommunications reforms began around world in the 1980s, many scholars have attempted to uncover its effects on the telecommunications sector. Nevertheless, research focusing largely on the impact of privatization on universal service has been relatively less frequent than other research on telecommunications reform such as the effect of competition on efficiency, investment, and universal service, and the impact of privatization on efficiency. From this perspective, this study attempted to explain the impact of the privatization of a state-owned telecommunications enterprise on universal service in Korea. This work may contribute to providing policy-makers and scholars in telecommunications with some useful policy suggestions by concretely illustrating how the privatization of Korea Telecom has influenced universal service policy formulation and the universal service system in Korea.

Perception and Attitude of Pre-Service Early Childhood Education Teacher about The Introduction and Utilization of Smart Education (스마트 교육 도입 및 활용에 대한 예비 유아교사의 인식과 태도)

  • Lee, Young-Joo;Gil, Hyo-Jung
    • Journal of Digital Convergence
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    • v.14 no.1
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    • pp.13-23
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    • 2016
  • The purpose of this study is to examine the perceptions and attitudes of pre-service early childhood education teachers about the introduction and utilization of smart education. We selected 262 pre-service early childhood education teachers. The Focus Group Interview and questionnaire were used to measure the perceptions and attitudes about the introduction and utilization of smart education. As a result, most of pre-service early childhood education teachers use smart phones and they use extra two more hours except phone calls. The most frequent usage is text. It is affected to device utilization experience in class, impact on childhood development. FGI results of pre-service early childhood education teachers for the introduction and utilization of smart education were analyzed by 2 subjects, 4 categories, 18 items.

Effects of the Orthographic Representation on Speech Sound Segmentation in Children Aged 5-6 Years (5~6세 아동의 철자표상이 말소리분절 과제 수행에 미치는 영향)

  • Maeng, Hyeon-Su;Ha, Ji-Wan
    • Journal of Digital Convergence
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    • v.14 no.6
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    • pp.499-511
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    • 2016
  • The aim of this study was to find out effect of the orthographic representation on speech sound segmentation performance. Children's performances of the orthographic representation task and the speech sound segmentation task had positive correlation in words of phoneme-grapheme correspondence and negative correlation in words of phoneme-grapheme non-correspondence. In the case of words of phoneme-grapheme correspondence, there was no difference in performance ability between orthographic representation high level group and low level group, while in the case of words of phoneme-grapheme non-correspondence, the low level group's performance was significantly better than the high level group's. The most frequent errors of both groups were orthographic conversion errors and such errors were significantly more noticeable in the high level group. This study suggests that from the time of learning orthographic knowledge, children utilize orthographic knowledge for the performance of phonological awareness tasks.

Analyzing Architectural History Terminologies by Text Mining and Association Analysis (텍스트 마이닝과 연관 관계 분석을 이용한 건축역사 용어 분석)

  • Kim, Min-Jeong;Kim, Chul-Joo
    • Journal of Digital Convergence
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    • v.15 no.1
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    • pp.443-452
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    • 2017
  • Architectural history traces the changes in architecture through various traditions, regions, overarching stylistic trends, and dates. This study identified terminologies related to the proximity and frequency in the architectural history areas by text mining and association analysis. This study explored terminologies by investigating articles published in the "Journal of Architectural History", a sole journal for the architectural history studies. First, key terminologies that appeared frequently were extracted from paper that had titles, keywords, and abstracts. Then, we analyzed some typical and specific key terminologies that appear frequently and partially depending on the research areas. Finally, association analysis was used to find the frequent patterns in the key terminologies. This research can be used as fundamental data for understanding issues and trends in areas on the architectural history.

A Study on Applying Feature-Oriented Analysis Model to Video-On Demand (VOD) Service Development (주문형 비디오 서비스 개발의 피처지향 분석모델 적용 연구)

  • KO, Kwangil
    • Journal of Digital Contents Society
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    • v.18 no.3
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    • pp.457-463
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    • 2017
  • VOD service provides an additional revenue model for digital broadcasting companies in addition to the existing subscription fees and advertisement-based revenue models. Therefore, each digital broadcasting company develops its own VOD service and performs frequent improvement work. In this circumstance, the developer is seeking to improve the efficiency of the VOD service development. To address the needs of such developers, this study conducted a basic study to apply the feature-oriented analysis model to the development of VOD services. The feature-oriented analysis model is recognized (through a number of case studies) as an effective tool for analyzing the requirements of softwares with the functions that are interconnected organically. In this paper, we developed a feature model of VOD service and designed the primary functions of each feature and the test-cases that can test the these functions, laying the foundation for developing VOD services based on feature-oriented analysis model.