• Title/Summary/Keyword: Vision21 Model

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A Study on the establishment of IoT management process in terms of business according to Paradigm Shift (패러다임 전환에 의한 기업 측면의 IoT 경영 프로세스 구축방안 연구)

  • Jeong, Min-Eui;Yu, Song-Jin
    • Journal of Intelligence and Information Systems
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    • v.21 no.2
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    • pp.151-171
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    • 2015
  • This study examined the concepts of the Internet of Things(IoT), the major issue and IoT trend in the domestic and international market. also reviewed the advent of IoT era which caused a 'Paradigm Shift'. This study proposed a solution for the appropriate corresponding strategy in terms of Enterprise. Global competition began in the IoT market. So, Businesses to be competitive and responsive, the government's efforts, as well as the efforts of companies themselves is needed. In particular, in order to cope with the dynamic environment appropriately, faster and more efficient strategy is required. In other words, proposed a management strategy that can respond the IoT competitive era on tipping point through the vision of paradigm shift. We forecasted and proposed the emergence of paradigm shift through a comparative analysis of past management paradigm and IoT management paradigm as follow; I) Knowledge & learning oriented management, II) Technology & innovation oriented management, III) Demand driven management, IV) Global collaboration management. The Knowledge & learning oriented management paradigm is expected to be a new management paradigm due to the development of IT technology development and information processing technology. In addition to the rapid development such as IT infrastructure and processing of data, storage, knowledge sharing and learning has become more important. Currently Hardware-oriented management paradigm will be changed to the software-oriented paradigm. In particular, the software and platform market is a key component of the IoT ecosystem, has been estimated to be led by Technology & innovation oriented management. In 2011, Gartner announced the concept of "Demand-Driven Value Networks(DDVN)", DDVN emphasizes value of the whole of the network. Therefore, Demand driven management paradigm is creating demand for advanced process, not the process corresponding to the demand simply. Global collaboration management paradigm create the value creation through the fusion between technology, between countries, between industries. In particular, cooperation between enterprises that has financial resources and brand power and venture companies with creative ideas and technical will generate positive synergies. Through this, The large enterprises and small companies that can be win-win environment would be built. Cope with the a paradigm shift and to establish a management strategy of Enterprise process, this study utilized the 'RTE cyclone model' which proposed by Gartner. RTE concept consists of three stages, Lead, Operate, Manage. The Lead stage is utilizing capital to strengthen the business competitiveness. This stages has the goal of linking to external stimuli strategy development, also Execute the business strategy of the company for capital and investment activities and environmental changes. Manege stage is to respond appropriately to threats and internalize the goals of the enterprise. Operate stage proceeds to action for increasing the efficiency of the services across the enterprise, also achieve the integration and simplification of the process, with real-time data capture. RTE(Real Time Enterprise) concept has the value for practical use with the management strategy. Appropriately applied in this study, we propose a 'IoT-RTE Cyclone model' which emphasizes the agility of the enterprise. In addition, based on the real-time monitoring, analysis, act through IT and IoT technology. 'IoT-RTE Cyclone model' that could integrate the business processes of the enterprise each sector and support the overall service. therefore the model be used as an effective response strategy for Enterprise. In particular, IoT-RTE Cyclone Model is to respond to external events, waste elements are removed according to the process is repeated. Therefore, it is possible to model the operation of the process more efficient and agile. This IoT-RTE Cyclone Model can be used as an effective response strategy of the enterprise in terms of IoT era of rapidly changing because it supports the overall service of the enterprise. When this model leverages a collaborative system among enterprises it expects breakthrough cost savings through competitiveness, global lead time, minimizing duplication.

A Study on the Business Process Reengineering and Effect in Information Environment: The Case of First Banks (정보환경에서의 업무프로세스 재설계 및 효과에 관한 연구 -국내 금융업을 중심으로-)

  • Park, No-Hyun;Jung, Jung-Hwan
    • The Journal of Information Technology
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    • v.5 no.3
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    • pp.81-96
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    • 2002
  • Recently business reengineering is the most attractive management reforming skill. Many of the Korean firms are paying attention to business reengineering and many of them have initiated it. The major purposes of this study are; (1) to investigate the relationship between each variable and success or failure of business reengineering, and (2) to examine interaction effects of measurement and performation variables. Two hundred eighteen questionaires were used for analysis. In order to throughout studies that I executed earlier. To look for dependence of critical success factors on analysis was performed to examine patterns between measurement and performance variables. In conclusion, the hypothesized relationships in the research model are supported by the empirical findings of this study. Additionally it is possible to establish theoretical reference system on the basis of critical success factors.

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Three Dimensional Volume Reconstruction of an Object from X-ray Iamges using Uniform and Simultaneous ART (USART 방법에 의한 X선 영상으로부터의 삼차원 물체의 형상 복원)

  • Roh, Young-Jun;Cho, Hyung-Suck;Kim, Hyeong-Cheol;Kim, Jong-Hyung
    • Journal of Institute of Control, Robotics and Systems
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    • v.8 no.1
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    • pp.21-27
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    • 2002
  • Inspection and shape measurement of three-dimensional objects are widely needed in industries for quality monitoring and control. A number of visual or optical technologies have been successfully applied to measure three-dimensional surfaces. However, those conventional visual or optical methods have inherent shortcomings such as occlusion and variant surface reflection. X-ray vision system can be a good solution to these conventional problems, since we can extract the volume information including both the surface geometry and the inner structure of any objects. In the x-ray system, the surface condition of an object, whether it is lambertian or specular, does not affect the inherent characteristics of its x-ray images. In this paper, we propose a three-dimensional x-ray imaging method to reconstruct a three dimensional structure of an object out of two dimensional x-ray image sets. To achieve this by the proposed method, two or more x-ray images projected from different views are needed. Once these images are acquired, the simultaneous algebraic reconstruction technique(SART) is usually utilized. Since the existing SART algorithms have several shortcomings such as low performance in convergence and different convergence within the reconstruction volume of interest, an advanced SART algorithm named as USART(uniform SART) is proposed to avoid such shortcomings and improve the reconstruction performance. Because, each voxel within the volume is equally weighted to update instantaneous value of its internal density, it can achieve uniform convergence property of the reconstructed volume. The algorithm is simulated on various shapes of objects such as a pyramid, a hemisphere and a BGA model. Based on simulation results the performance of the proposed method is compared with that of the conventional SART method.

A Cultural Approach to the Digital transition (지상파 TV의 디지털 전환에 대한 문화적 인식과 접근)

  • Kim, Pyung-Ho
    • Korean journal of communication and information
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    • v.21
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    • pp.63-86
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    • 2003
  • Digital TV is expected to usher in a new era of TV. Thanks to digital and network technologies, TV will no more be a dumb terminal as it is today. It will incorprate the computer and thus become an intelligent device which serves not only high quality broadcast programming, but a variety of information services much like the current networked-computer. However, the real world picture of digital TV is clearly different from such a rosy vision. Albeit too early to tell, the cases in Europe and the US attest that the digital transition suffers a setback in terms of technology, policy, business, marketing, and the users. As such, the digital transition is generally problematized in terms of policy, business model, marketing strategy, and so on. Comparatively speaking, the issues of technology, policy, business and marketing are not so complicated than that of digital TV users because of the cultural issues involved in the adoption of digital TV. In other words, the technological transition to digital TV is far easier than its cultural transition. The cultural transition demands policy makers and industries of different approaches to successfully facilitating the digital transition.

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The Development on Core Competency Model of Scientist and Its Verification for Competency-Based Science Gifted Education (역량 중심의 과학 영재 교육을 위한 과학자의 핵심 역량 모델 개발 및 타당화)

  • Park, Jae-Jin;Yoon, Jihyun;Kang, Seong-Joo
    • Journal of Gifted/Talented Education
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    • v.24 no.4
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    • pp.509-541
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    • 2014
  • There was a great need to consider a core competency-based approach as a new direction of the science education for gifted students according to the value and vision of the 21st century knowledge-based societies. Therefore we developed a core competency model of scientist and examined its validity as a prerequisite for a core competency-based education of science gifted students. In order to this, the survey was conducted after developing questionnaire through the theoretical review of the various resources such as paper, book, and newspaper articles and the qualitative analysis of the behavioral event interview, and then an exploratory factor analysis was performed to validate the factor structure based on the results of the survey. The results revealed that the core competency model with the 5 cluster units of competency and the 15 core competencies was potentially constituted. And the reliability, convergent validity, and discriminant validity of the core competency model were verified through the confirmatory factor analysis. The cognitive cluster consisted of 5 competencies and they were as follows: creative, comprehensive, exploratory, analytical, and conceptual thinking competency. The achievement-orientation cluster consisted of 3 competencies and they were as follows: initiative, preparation & problem solving, and strategic influence competency. The scientific attitude cluster consisted of 3 competencies and they were as follows: flexible thinking & attitude, passion for research, and views about science competency. The personal effectiveness cluster consisted of 2 competencies and they were as follows: diverse experiences and global attitude competency. Finally, the networking cluster consisted of 2 competencies and they were as follows: personal understanding and communication competency. Findings were expected to provide the basic data for developing programs and establishing strategies based on the core competency as well as introducing the core competency model of scientist to science education for gifted students effectively.

Automatic Classification Algorithm for Raw Materials using Mean Shift Clustering and Stepwise Region Merging in Color (컬러 영상에서 평균 이동 클러스터링과 단계별 영역 병합을 이용한 자동 원료 분류 알고리즘)

  • Kim, SangJun;Kwak, JoonYoung;Ko, ByoungChul
    • Journal of Broadcast Engineering
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    • v.21 no.3
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    • pp.425-435
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    • 2016
  • In this paper, we propose a classification model by analyzing raw material images recorded using a color CCD camera to automatically classify good and defective agricultural products such as rice, coffee, and green tea, and raw materials. The current classifying agricultural products mainly depends on visual selection by skilled laborers. However, classification ability may drop owing to repeated labor for a long period of time. To resolve the problems of existing human dependant commercial products, we propose a vision based automatic raw material classification combining mean shift clustering and stepwise region merging algorithm. In this paper, the image is divided into N cluster regions by applying the mean-shift clustering algorithm to the foreground map image. Second, the representative regions among the N cluster regions are selected and stepwise region-merging method is applied to integrate similar cluster regions by comparing both color and positional proximity to neighboring regions. The merged raw material objects thereby are expressed in a 2D color distribution of RG, GB, and BR. Third, a threshold is used to detect good and defective products based on color distribution ellipse for merged material objects. From the results of carrying out an experiment with diverse raw material images using the proposed method, less artificial manipulation by the user is required compared to existing clustering and commercial methods, and classification accuracy on raw materials is improved.

The effect of clinical dental hygienist psychological well-being on emotional intelligence in an area (임상치과위생사의 심리적 안녕감이 감성지능에 미치는 영향)

  • Kim, Young-im
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.7
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    • pp.504-509
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    • 2020
  • This study analyzed the factors that affect the emotional intelligence of clinical dental hygienists' psychological well-being. The study was conducted from September 1, 2019 to November 30, 2019 with 180 dental hygienists living in Jeollabuk-do province. The data was analyzed by independent t-tests, one-way ANOVA, Scheffé test, Pearson's correlation coefficient, and stepwise multiple regression using SPSS 18.0. Psychological well-being has a significant correlation with emotional intelligence (r=.596, p<.001). Emotional intelligence of clinical dental hygienists was found to be significant in a suitable regression model (F=116.575, p<.05), and the explanatory power was 53.6%. The higher the psychological well-being was, the higher the emotional intelligence was. The factors related to emotional intelligence of clinical dental hygienists were psychological well-being, self-acceptance, positive relations to others, personal growth, environmental mastery and clinical experience. The results of this study show that psychological well-being is related to emotional intelligence. It is necessary to establish an effective strategy to enhance the psychological well-being of clinical dental hygienists and strengthen their emotional intelligence.

A Study on the Sustainability of Social Enterprises Focusing on Companies in the Field of Culture and Arts (문화예술분야 사회적기업의 지속가능성에 대한 탐색적 연구)

  • Lee, Jeong-Yeon
    • The Journal of the Korea Contents Association
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    • v.21 no.5
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    • pp.668-680
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    • 2021
  • Recently, measures for successful settlement and sustainability of social enterprises have become an important topic. Accordingly, researches related to social enterprises are increasing, but studies measuring sustainability are still insufficient. In this study, in order to seek the sustainability and development of social enterprises in the field of literature and arts, a theoretical model for the sustainability of social enterprises in the field of culture and arts was presented. To this end, interviews were conducted with social enterprises in the field of culture and arts, and the results were analyzed to derive the concept and categorization of sustainability of social enterprises in the field of culture and arts. In addition, the integration between the derived categories is illustrated. For a social enterprise in the field of culture and arts to be sustainable, differentiated culture and arts services are important, and each company must constantly strive for its mission and vision, and a differentiated branding strategy unique to companies is required. This research is expected to lay the foundation for empirical research on social enterprises in the culture and arts sector as data for entrepreneurs and prospective entrepreneurs who run social enterprises in the field of culture and arts.

CycleGAN Based Translation Method between Asphalt and Concrete Crack Images for Data Augmentation (데이터 증강을 위한 순환 생성적 적대 신경망 기반의 아스팔트와 콘크리트 균열 영상 간의 변환 기법)

  • Shim, Seungbo
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.21 no.5
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    • pp.171-182
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    • 2022
  • The safe use of a structure requires it to be maintained in an undamaged state. Thus, a typical factor that determines the safety of a structure is a crack in it. In addition, cracks are caused by various reasons, damage the structure in various ways, and exist in different shapes. Making matters worse, if these cracks are unattended, the risk of structural failure increases and proceeds to a catastrophe. Hence, recently, methods of checking structural damage using deep learning and computer vision technology have been introduced. These methods usually have the premise that there should be a large amount of training image data. However, the amount of training image data is always insufficient. Particularly, this insufficiency negatively affects the performance of deep learning crack detection algorithms. Hence, in this study, a method of augmenting crack image data based on the image translation technique was developed. In particular, this method obtained the crack image data for training a deep learning neural network model by transforming a specific case of a asphalt crack image into a concrete crack image or vice versa . Eventually, this method expected that a robust crack detection algorithm could be developed by increasing the diversity of its training data.

Behavior of Lateral Resistance according to Embed Depth of Pile for the Wind Power Foundation Reinforced with Piles in the Rocky Layer (암반지반에서 말뚝으로 보강된 풍력발전 기초의 말뚝 근입깊이에 따른 수평저항력 거동)

  • Kang, Gichun;Kim, Dongju;Park, Jinuk;Euo, Hyunjun;Park, Hyejeong;Kim, Jiseong
    • Journal of the Korean Geosynthetics Society
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    • v.21 no.2
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    • pp.49-56
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    • 2022
  • This study conducted to obtain the lateral resistance of a wind power foundation reinforced with piles through an model experiment. In particular, the lateral resistance of the foundation was compared with the existing gravity-type wind power foundation by integrating the pile, the wind power generator foundation, and the rocky ground. In addition, changes in the lateral resistance and bending moment of the pile were analyzed by embeded depths of the pile. As a result, it was found that the lateral resistance increased with the depth of embedment of the piles. In particular, the pile's resistance increase ratio was 2.11 times greater in the case where the pile embedded up to the rock layer than the case where the pile was embedded into the riprap. It was found that the location of the maximum bending moment occurred at the interface between the wind turbine foundation and the riprap layer when the pile embeded to the rock layer. Through this, as the lateral resistance of the wind power foundation reinforced with piles is greater than that of the existing gravity-type wind power foundation, it is understood that it can be a more advantageous construction method in terms of safety.