• 제목/요약/키워드: smart problem

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유아의 스마트 기기 최초 이용시기 및 이용시간이 외현화 문제행동에 미치는 영향과 어머니 개입행동의 조절효과 (Effects of the Age at First Use of Smart Devices and the Amount of Time to Use Smart Devices on the Externalizing Problem Behavior of Infants and the Moderating Roles of Maternal Managing Behavior)

  • 김윤경;김호정;윤미경;박주희
    • Human Ecology Research
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    • 제56권6호
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    • pp.541-553
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    • 2018
  • This study examined the influences of infants' age for the first use of smart devices and the amount of time to use them on the externalizing problem behavior as well as investigated whether maternal managing behavior (setting rules on accessing smart devices and monitoring their child's use of smart devices) had moderating effects. The study participants consisted of 521 three to six year old infants (235 boys and 286 girls). The data were analyzed by means of descriptive statistics and a hierarchical regression. The results of this study indicated that the age at first use of smart devices and maternal managing behavior had significant effects on the externalizing problem behavior of infants. The earlier the infants first used smart devices, the higher the level of externalizing problem behavior. Externalizing problem behavior was also found to be higher when the mothers showed no managing behavior. Second, maternal managing behavior moderated the relation between the age at first use of smart devices and the externalizing problem behavior of infants. The effects of the age at first use of smart devices on the externalizing problem behavior of infants were greater when the mothers did not set rules regarding the use of smart devices and did not supervise children when using smart devices.

문제해결학습의 효과성 증대를 위한 스마트기기의 교육적 활용에 관한 연구 (A Study on Educational Application of Smart Devices for Enhancing the Effectiveness of Problem Solving Learning)

  • 김미용
    • 인터넷정보학회논문지
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    • 제15권1호
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    • pp.143-156
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    • 2014
  • 스마트교육은 21세기 학습자 역량 신장을 목표로 삼고 있으며, 그중에서 특히 문제해결력 향상을 강조하고 있다. 이러한 스마트교육은 스마트기기의 발전과 폭발적인 보급의 영향이 그 기저를 차지하고 있으며, 시대의 변화에 따라 스마트 테크놀로지를 활용한 문제해결력이 요구된다. 문제해결학습은 학생들의 문제해결력 향상에 초점을 맞추어 사용된 모형으로 본 연구에서는 문제해결력 향상을 극대화하기 위해 스마트기기를 활용한 교수 학습 활동 중심의 문제해결학습 모형을 구안하고 이를 학교 현장에 적용하였다. 그 결과 스마트기기의 활용이 문제해결에 많은 도움이 되었다는 긍정적인 반응을 얻을 수 있다. 본 연구를 통해 스마트교육이 추구 하고자 하는 목표를 달성하는데 기여하고, 향후 학교 현장에서 성공적인 스마트교육이 되기 위한 기초 연구가 되기를 기대한다.

Smart Sensor Management System Supporting Service Plug-In in MQTT-Based IIoT Applications

  • Lee, Young-Ran;Kim, Sung-Ki
    • Journal of Multimedia Information System
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    • 제9권3호
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    • pp.209-218
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    • 2022
  • Industrial IoT applications, including smart factories, require two problem-solving to build data monitoring systems required by services from distributed IoT sensors (smart sensors). One is to overcome proprietary protocols, data formats, and hardware differences and to uniquely identify and connect IoT sensors, and the other is to overcome the problem of changing the server-side data storage structure and sensor data transmission format according to the addition or change of service or IoT sensors. The IEEE 1451.4 standard-based or IPMI specification-based smart sensor technology supports the development of plug-and-play sensors that solve the first problem. However, there is a lack of research that requires a second problem-solving, which requires support for the plug-in of IoT sensors into remote services. To propose a solution for the integration of these two problem-solving, we present a IoT sensor platform, a service system architecture, and a service plugin protocol for the MQTT-based IIoT application environment.

스마트 TV와 스마트 폰 연동 게임을 위한 프레임워크 (Game Framework for Linking Smart TV and Smart Phones)

  • 정규만
    • 한국융합학회논문지
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    • 제10권7호
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    • pp.33-37
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    • 2019
  • 스마트 폰을 비롯한 스마트 TV 등 여러가지 스마트 기기의 보급으로 인해 스마트 기기 간의 연동에 대한 필요성이 증대되고 있다. 본 논문에서는 스마트 TV와 스마트 폰을 연동하기 위한 게임 프레임워크를 제시하고, 시범 콘텐츠를 통해 제시된 프레임워크의 효용성을 증명하였다. 스마트 기기 사이의 연결 문제는 기본적으로 이기종 간의 연결 문제로 볼 수 있다. 이러한 문제는 이기종 기기 사이의 데이터 송수신과 보안까지 고려해야 하기 때문에, 핵심적인 데이터는 클라우드 컴퓨팅 개념을 도입하여 서버에 저장하고 스마트TV에서는 이 데이터를 이용해 게임을 수행하는 형태로 작동한다. 제시된 프레임워크는 게임을 비롯한 여러 가지 관련 분야에 적용될 것으로 예상된다.

A Distributed Coexistence Mitigation Scheme for IoT-Based Smart Medical Systems

  • Kim, BeomSeok
    • Journal of Information Processing Systems
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    • 제13권6호
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    • pp.1602-1612
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    • 2017
  • Since rapidly disseminating of Internet of Things (IoT) as the new communication paradigm, a number of studies for various applications is being carried out. Especially, interest in the smart medical system is rising. In the smart medical system, a number of medical devices are distributed in popular area such as station and medical center, and this high density of medical device distribution can cause serious performance degradation of communication, referred to as the coexistence problem. When coexistence problem occurs in smart medical system, reliable transmitting of patient's biological information may not be guaranteed and patient's life can be jeopardized. Therefore, coexistence problem in smart medical system should be resolved. In this paper, we propose a distributed coexistence mitigation scheme for IoT-based smart medical system which can dynamically avoid interference in coexistence situation and can guarantee reliable communication. To evaluate the performance of the proposed scheme, we perform extensive simulations by comparing with IEEE 802.15.4 MAC protocol which is a traditional low-power communication technology.

스마트 교육을 활용한 팀 기반 문제 중심 학습의 효과: 고위험 신생아 간호를 중심으로 (Effects of Team-based Problem-based Learning Combined with Smart Education: A Focus on High-risk Newborn Care)

  • 양선이
    • Child Health Nursing Research
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    • 제25권4호
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    • pp.507-517
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    • 2019
  • Purpose: This study was conducted to examine the effects of team-based problem-based learning combined with smart education among nursing students. Methods: A quasi-experimental non-equivalent control group, pre-posttest design was used. The experimental group (n=36) received problem-based learning combined with smart education and lectures 7 times over the course of 7 weeks (100 minutes weekly). Control group (n=34) only received instructor-centered lectures 7 times over the course of 7 weeks (100 minutes weekly). Data were analyzed using the $x^2$ test, the Fisher exact test, and the independent t-test with SPSS for Windows version 21.0. Results: After the intervention, the experimental group reported increased learning motivation (t=2.70, p=.009), problem-solving ability (t=2.25, p=.028), academic self-efficacy (t=4.76, p<.001), self-learning ability (t=2.78, p<.001), and leadership (t=2.78, p=.007) relative to the control group. Conclusion: Team-based problem-based learning combined with smart education and lectures was found to be an effective approach for increasing the learning motivation, problem-solving ability, academic self-efficacy, self-learning ability, and leadership of nursing students.

스마트 네트워크 환경에서의 자원 및 경로 최적화 연구 (Resource and Network Routing Optimization in Smart Nodes Environment)

  • 서동원;윤승현;장병윤
    • 한국시뮬레이션학회논문지
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    • 제22권4호
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    • pp.149-156
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    • 2013
  • 본 연구에서는 네트워크 총 비용 최소화의 관점에서 스마트 노드 자원사용과 네트워크 트래픽 경로를 함께 결정하는 최적화 문제를 고려하였다. 이를 위해, 스마트 노드의 기술 추세와 자원 최적화에 대한 분석방법, 스마트 네트워크의 경제적 효과와 CDN에 대해 살펴보았다. CDN에 대한 분석을 기반으로 혼합정수계획법 모형을 제안하였으며, 이는 기존에 알려진 복제위치선정과 고객요청 분배문제 (RPRDP)와 경로 결정문제가 결합된 형태로 볼 수 있다. 제안된 혼합정수계획법 모형을 구현하고 그 결과를 소개함으로써 제안된 모형의 유효성을 밝혔다.

Using artificial intelligence to solve a smart structure problem

  • Kaiwen, Liu;Jun, Gao;Ruizhe, Qiu
    • Structural Engineering and Mechanics
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    • 제85권3호
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    • pp.393-406
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    • 2023
  • Smart structures are those structure that could adopt some behavior to prevent instability in their responses. The recognition of stability deterioration has been performed through rigid mathematical formulations in control theory and unpredicted results could not be addressed in control systems since they are able to only work under their predefined condition. On the other hand, incorporating all affecting parameters could result in high computational cost and delay time in the response of the systems. Artificial intelligence (AI) method has shown to be a promising methodology not only in the computer science by at everyday life and in engineering problems. In the present study, we exploit the capabilities of artificial intelligence method to obtain frequency response of a smart structure. In this regard, a comprehensive development of equations is presented using Hamilton' principle and first order shear deformation theory. The equations were solved by numerical methods and the results are used to train an artificial neural network (ANN). It is demonstrated that ANN modeling could provide accurate results in comparison to the numerical solutions and it take less time than numerical solution.

스마트 배움터 시스템 설계에 관한 연구 (Eliciting and Analyzing Requirements for Smart Environment for Future-Oriented Learning and Coaching)

  • 이정우;이혜정;김민선
    • 지식경영연구
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    • 제14권1호
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    • pp.121-132
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    • 2013
  • In education, innovative ways of teaching and learning are always under development and keep being proposed with advanced concepts since the ancient times. Student-centered learning, problem-based learning and cooperative learning have been three major trends under development in secondary education research and practice more than a decade or so. Combined with advanced information and communication technologies, these trends will greatly transform the way we teach and learn in classroom environment and may change the classroom environment itself, into a more interactive and self-centered coaching type environment. In this study, a smart environment that utilizes advanced information technology devices and network is conceptualized, accommodating requirements contained and proposed in the recent trendy pedagogies. Pedagogical cases discussed in these trends are analyzed in detail, producing requirements for such a learning and coaching environment. These requirements are modeled using unified modeling language, leading to a proposal of a basic architecture for an information system supporting this environment.

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스마트 스페이스를 위한 난방, 환기 및 공기조화 시스템의 지능형 디지털 제어 (Intelligent Digital Control of Heating, Ventilating, and Air Conditioning System for Smart Space)

  • 김도완;박진배;주영훈
    • 제어로봇시스템학회논문지
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    • 제13권4호
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    • pp.365-370
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    • 2007
  • This paper studies an automation problem of a heating, a ventilating, and an air conditioning (HVAC) for the development of smart space. The HVAC system is described by the fuzzy system for the stability analysis and the controller design. The linear matrix inequalities (LMIs) conditions are derived for the stabilization problem of the closed-loop system under the analog control. Also, it is required to digitally redesign the pre-designed the analog HVAC control system in order to accomplish the remote control via web. It is shown the this digital redesign problem can be converted to the convex optimization problem with the LMI constraints. An example is provided to show the effectiveness of the proposed method.