• Title/Summary/Keyword: 개별맞춤

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A Study on ICT Security Change and CPS Security System in the 4th Industry Age (4차 산업 시대의 ICT 보안 변화와 CPS 보안 시스템에 관한 연구)

  • Joo, Heon-Sik
    • Journal of Digital Contents Society
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    • v.19 no.2
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    • pp.293-300
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    • 2018
  • This study explored the security of Industry 4.0 such as security trends and security threats in Industry 4.0, and security system in Industry 4.0. The threat elements in Industry 4.0 are changing from ICT to IoT and to CPS security, so security paradigm and security System should change accordingly. In particular, environmental and administrative security are more important to solve CPS security. The fourth industry-age security should change to customized security for individual systems, suggesting that the security technology that combines hardware and software in product production design should change from the beginning of development. The security system of the fourth industry proposes design and implementation as a CPS security system as a security system that can accommodate various devices and platforms from a security system in a single system such as a network to an individual system.

The Study on the Design and Development of Childre's free choice activities Monitoring System Based on Open Source Hardware (오픈소스 하드웨어를 이용한 유아의 자유선택활동 관찰시스템의 설계 및 개발 연구)

  • Kim, Kyung Min
    • Smart Media Journal
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    • v.7 no.2
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    • pp.47-53
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    • 2018
  • Along with the development of information and communication technology, smart education that can learn without restrictions of time, place and equipment is activated even in the field of education. Although smart education is provided with content-based training solutions, construction of a system that grasps individual characteristics of learners and provides personalized learning is relatively weak. The activity of free choice is an important play activity of early childhood education, but it is not implemented efficiently by relying on the clinical observation of the teacher. If the IoT(Internet of Things) technology based on Hyper-Connected is applied to free-choice activities, it is possible to provide the child's personalized activity type and play-form analysis based on objective and stylized data. In this paper, we design and implement a system to monitor the child's activity of free choice by building an IoT environment that is based on open source hardware. The proposed system provides children's activity information as objective data and will be used as teacher's work mitigation and custom training material for each child.

Design and Implementation of Free Choice Activity Management System based on Smart Education (스마트교육 기반 자유선택활동 운영시스템 설계 및 구현)

  • Kim, Kyung-Min;Park, Hyun-Sook
    • The Journal of Korean Association of Computer Education
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    • v.22 no.3
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    • pp.123-133
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    • 2019
  • The purpose of this study is to establish Smart Education Environment for children's personalized learning based on the data are accumulated by Smart Device which is one of element on Smart Education. In this study, we propose the operational improvement plan for the free choice activity in the 5-year-old kindergarten and also implement the Free Choice Activity(FCA) management system for children to select and to evaluate the play plans for themselves. Children participating in this study have fun the whole time for the process of self-planning, the playing activities and the self-assessment of playing. As a result, it is confirmed that children participate actively in decision-making of interesting areas through the smart device than the traditional education environment before. A single teacher using FCA management system with smart device in this study can get useful information without difficulty of individual child's interests, learning and the statistics of children in the classroom.

In the Digital Big Data Classroom Reality and Application of Smart Education : Learner-Centered Education using Edutech (디지털 빅데이터 교실에서 스마트교육의 실제와 활용 : 에듀테크를 활용한 학습자 중심 교육)

  • Kim, Seong-Hee
    • Journal of Korea Entertainment Industry Association
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    • v.15 no.4
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    • pp.279-286
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    • 2021
  • In this study, we looked at the appearance of Edutech, which is being put into the educational field after Corona 19, with the advent of the 4th industrial revolution. In the era of the 4th industrial revolution, the infrastructure, data, and service of Smart Stick that actively utilized ICT became the main pillars of smart education. In particular, smart education is being implemented through e-learning, smart learning, and edutech, and on this basis, it has become possible through the expansion and use of the Internet and computers, the dissemination of smart devices, and a software foundation using big data. Based on this, it was confirmed that Edutech is being implemented through the establishment of a quarantine safety net, a learning safety net, and a care safety net for individual learners and safe life based on artificial intelligence. Lastly, in order for edutech education using big data to become a discourse for everyone, it is necessary to consider artificial intelligence and ethics in the use and application of edutech.

Cloud-based Artificial Intelligence Fulfillment Service Platform in the Urban Manufacturing Cluster in Seoul (서울시 도심제조업 집적지에서의 Cloud 기반 인공지능 Fulfillment 서비스 Platform 연구)

  • Kim, Hyo-Young;Park, Dea-Woo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.10
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    • pp.1447-1452
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    • 2022
  • Seoul Special City, one of the world's top 10 cities and Metro City, has traditional urban manufacturing industries such as printing, sewing, and mechanical metals. Small business owners in these manufacturing clusters have developed in the form of mutual assistance. Due to the nature of the agglomeration site, each process is handled by an individual company. It is difficult for relatively small business owners to prepare order processing services that provide real-time logistics movement information between processes. This paper collects and analyzes existing logistics data for smooth order and delivery of small business owners in package manufacturing and special printing fields We design an artificial intelligence Fulfillment Service Platform system with CRNN, k-NN, and ID3 Decision Tree Algorithm. Through this study, it is expected that it will greatly contribute to increasing sales and improving capabilities by allowing small business owners in integrated areas to use individual orders and delivery customized services through the Cloud network.

User's Satisfaction Analysis on the User-Oriented Public Transit Service in Busan (이용자 맞춤형 대중교통서비스의 이용자 만족도 분석 : 부산시 사례를 중심으로)

  • Park, Han-Young;Kim, Gyeong-Seok
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.11 no.1
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    • pp.28-41
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    • 2012
  • The User-Oriented Public Transit Service provide public transit service through media devices, such as mobile, BIT and In-vehicle display devices, which considered user's individual characteristics and specific preference anytime and anywhere. The objective of this study is to develop and improve the services in the three media devices. This study applied user-satisfaction analysis in evaluating the service in Busan, analyze factor affecting the level of service user's satisfaction, and draw remedies based on the analysis results. The user's satisfaction average values in each media are 3.29 mobile, 3.62 BIT, and 4.05 In-vehicle display devices. Overall satisfaction average value 3.54 on the service showed a positive reaction from the survey participants. The important factor affected on general satisfaction of the User-Oriented Public Transit Service is "In-vehicle display devices" scored .632 (standardized coefficient) by categorical regression analysis. But users prefer to further improve the service environment rather than to add service information because they are already contented with the information they are getting. Furthermore, this study suggested ways of improving the User-Oriented Public Transit Service based on the satisfaction analysis results from the user's perspective.

Analysis of School Space for Students' Customized Classes: Focused on Vittra Telefonplan School in Sweden (학생 맞춤형 수업을 위한 학교 공간 분석: 스웨덴 비트라 텔레폰플랜(Vittra Telefonplan) 학교를 중심으로)

  • Shin, Jin-Su;Jo, Hyang-Mi
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.10
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    • pp.433-445
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    • 2019
  • This study was designed to create an innovative Korean school space plan. This was done by performing an analysis of cases of student-tailored class operations and the composition of school space in Sweden's Vittra Telefonplan School. To this end, the research team analyzed prior studies, the Vittra school space and the student-tailored classes through an analysis of the literature, documents and video images. First, the OpenSpace was operating classes tailored to each student's academic growth and needs. Second, the open-space school space played a role as the space for student life. Third, the teacher played a role as an active guide and facilitator of students. Forth, the students' individual learning management team actively conducted coding classes by utilizing IT-based learning platforms. The implications of the Vittra School are as follows. When designing a new school, it is recommended to design a small school as small as possible, organize an open space according to the grade and not by the class, and operate the curriculum around the students' grade. When reorganizing existing schools, it is proposed that standardized classrooms be modified for schools with spare classrooms to create learning spaces that can vary for large to small and to practice project-oriented classes at the grade level.

An Adaptive Customization Service using Emotional Indices of Bio-rhythm based on Web (웹기반의 바이오리듬의 감성지수를 이용한 적응적 고객화 서비스)

  • Na, Yun-Ji;Ko, Il-Seok
    • The KIPS Transactions:PartD
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    • v.12D no.6 s.102
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    • pp.899-904
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    • 2005
  • Necessity of the service-on-demand that reflect a personal characteristic of a customer was increased by an aggravation of web service competition. So a study on a customization is being performed actively. The common customization system supporting of the personalization is performed through the computational data like individual characteristic or preference. Various studies on the service that used emotional information were performed. But we can't use this emotional information in the web system because of characteristics of emotional information system In this study, we design the adaptive customization system that used emotional information of the customer and analyse the system by experiments.

Product Life Cycle Based Service Demand Forecasting Using Self-Organizing Map (SOM을 이용한 제품수명주기 기반 서비스 수요예측)

  • Chang, Nam-Sik
    • Journal of Intelligence and Information Systems
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    • v.15 no.4
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    • pp.37-51
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    • 2009
  • One of the critical issues in the management of manufacturing companies is the efficient process of planning and operating service resources such as human, parts, and facilities, and it begins with the accurate service demand forecasting. In this research, service and sales data from the LCD monitor manufacturer is considered for an empirical study on Product Life Cycle (PLC) based service demand forecasting. The proposed PLC forecasting approach consists of four steps : understanding the basic statistics of data, clustering models using a self-organizing map, developing respective forecasting models for each segment, comparing the accuracy performance. Empirical experiments show that the PLC approach outperformed the traditional approaches in terms of root mean square error and mean absolute percentage error.

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Efficient Mining for Personalized Medical treatment Diagnosis Service (개인 맞춤형 의료진단 서비스 제공을 위한 효율적인 데이터마이닝 기법)

  • Kaun, Eun-Hee;Lee, Seung-Cheol;Lee, Joo-Chang;Kim, Ung-Mo
    • Proceedings of the Korean Information Science Society Conference
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    • 2007.10c
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    • pp.200-204
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    • 2007
  • 최근 유비쿼터스 환경의 발달로 인해 사용자 중심의 유비쿼터스 기술이 활발히 연구되고 있다. 이에 따른 각종 응용 분야가 활발히 연구 중이며, 그 중에서 특히 U-Health 기술이 주목받고 있다. U-Health 기술은 질병의 치료라는 전통적인 관점의 의료 서비스에서 벗어나 건강한 상태의 지속적인 관리와 질병의 예방이라는 적극적이고 확장된 개념으로 발전해가고 있다. 건강상태를 관리하고 진단하기 위해서는 기존의 진단데이터를 효율적으로 관리하고, 그것을 토대로 하여 유용한 정보를 얻어 낼 수 있는 방법이 필요하다. 지금까지는 데이터를 처리하기 위하여 통계적인 수치나 전문가에 의한 전문지식을 토대로 하는 방법을 사용하고 있다. 그러나, 건강상태를 관리하고 진단을 목적으로 하는 시스템에서는 높은 정확성이 보장되어야 한다. 또한 유비쿼터스 환경의 특성상 적은 메모리의 사용과 빠른 마이닝 속도가 수반되어야 한다. 본 논문에서는 튜플기반의 진단데이터들을 마이닝하여 진단패턴을 뽑아내는 의료 진단 마이닝 알고리즘을 제안한다. 본 알고리즘은 진단패턴정보의 정확성을 높일 수 있는 장점을 가지며, 튜플기반의 데이터들을 트리 구조로 구성함으로써 마이닝 속도를 향상시킨다. 더 나아가 트리 구조의 컴팩트한 데이터 구조로 메모리 적재가 용이하다. 이는 센서가 부착된 개별 사용자로부터 실시간으로 들어오는 건강상태와 진단패턴과의 비교, 분석을 가능하게 함으로써 보다 정확하고 빠른 진단결과를 내려줄 수 있는 의사결정시스템의 사용에 적합하다.

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