• Title/Summary/Keyword: smart campus

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Modeling of Context-aware Interaction in U-campus Environment

  • Choo, Moon-Won;Choi, Young-Mee;Chin, Seong-Ah
    • Journal of Korea Multimedia Society
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    • v.10 no.6
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    • pp.799-806
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    • 2007
  • The prototypical smart environment to support the context-aware interactions between user and ubiquitous campus environment based on multi-agent system paradigm is proposed in this paper. In this model, the dynamic Bayesian is investigated to solicit and organize agents to produce information and presentation assembly process in order to allocate the resources for an unseen task across multiple services in a dynamic environment. The user model is used to manage varying user constraints and user preferences to achieve system's goals.

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Optimal sensor placement techniques for system identification and health monitoring of civil structures

  • Rao, A. Rama Mohan;Anandakumar, Ganesh
    • Smart Structures and Systems
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    • v.4 no.4
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    • pp.465-492
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    • 2008
  • Proper pretest planning is a vital component of any successful vibration test on engineering structures. The most important issue in dynamic testing of many engineering structures is arriving at the number and optimal placement of sensors. The sensors must be placed on the structure in such a way that all the important dynamic behaviour of a structural system is captured during the course of the test with sufficient accuracy so that the information can be effectively utilised for structural parameter identification or health monitoring. Several optimal sensor placement (OSP) techniques are proposed in the literature and each of these methods have been evaluated with respect to a specific problem encountered in various engineering disciplines like aerospace, civil, mechanical engineering, etc. In the present work, we propose to perform a detailed characteristic evaluation of some selective popular OSP techniques with respect to their application to practical civil engineering problems. Numerical experiments carried out in the paper on various practical civil engineering structures indicate that effective independence (EFI) method is more consistent when compared to all other sensor placement techniques.

A Brief Overview of Wireless Power Transfer Techniques

  • Kshatri, Dinesh Baniya;Shrestha, Surendra;Shrestha, Bhanu
    • International journal of advanced smart convergence
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    • v.4 no.2
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    • pp.1-5
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    • 2015
  • The necessity to distribute energy wirelessly has been spurred by the tremendous growth in the use of portable devices. Mobile devices have become ubiquitous and the circuits within them have been optimized to consume extremely low amounts of power. Such portable electronic sets are in constant use and the frequent need to recharge them; using conventional wired mechanisms have hindered the mobility of users. Wireless transmission of energy to power-up devices has been proposed since the days of Tesla and since then many theories and methods have been invented. This paper discusses some of those techniques briefly.

Detection of nonlinear structural behavior using time-frequency and multivariate analysis

  • Prawin, J.;Rao, A. Rama Mohan
    • Smart Structures and Systems
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    • v.22 no.6
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    • pp.711-725
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    • 2018
  • Most of the practical engineering structures exhibit nonlinearity due to nonlinear dynamic characteristics of structural joints, nonlinear boundary conditions and nonlinear material properties. Hence, it is highly desirable to detect and characterize the nonlinearity present in the system in order to assess the true behaviour of the structural system. Further, these identified nonlinear features can be effectively used for damage diagnosis during structural health monitoring. In this paper, we focus on the detection of the nonlinearity present in the system by confining our discussion to only a few selective time-frequency analysis and multivariate analysis based techniques. Both damage induced nonlinearity and inherent structural nonlinearity in healthy systems are considered. The strengths and weakness of various techniques for nonlinear detection are investigated through numerically simulated two different classes of nonlinear problems. These numerical results are complemented with the experimental data to demonstrate its suitability to the practical problems.

Development of Embedded System Based Cortex-M for Smart Manufacturing (스마트 제조를 위한 Cortex-M 기반 임베디드 시스템 개발)

  • Cho, Choon-Nam
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.33 no.4
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    • pp.326-330
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    • 2020
  • Small-scale production control systems for smart manufacturing are becoming increasingly necessary as the manufacturing industry seeks to maximize manufacturing efficiency as the demand for customized product production increases. Correspondingly, the development of an embedded system to realize this capability is becoming important. In this study, we developed an embedded system based on an open source system that is cheaper than a widely applied programmable logic controller (PLC)-based production control system that is easier to install, configure, and process than a conventional relay control panel. This embedded system is system is based on a low-power, high-performance Cortex M4 processor and can be applied to smart manufacturing. It is designed to improve the development environment and compatibility of existing PLCs, control small-scale production systems, and enable data collection through heterogeneous communication. The real-time response characteristics were confirmed through an operation test for input/output control and data collection, and it was confirmed that they can be used in industrial sites.

Standardization to ensure Interoperability and Reliability of Campus Microgrid (캠퍼스 마이크로그리드의 상호운용성 및 신뢰성 확보를 위한 표준화)

  • Yoon, Yongho
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.20 no.2
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    • pp.277-282
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    • 2020
  • The construction of medium-and large-sized microgrid systems by unit area, which is being promoted worldwide, is being developed and expanded in the form of efficient operation of electric grids and independent operation in preparation for power emergencies. Therefore, for the development of the domestic electricity industry, it is urgent to analyze the current status and technology of relevant international standardization, and to make international standardization of domestic standard (draft) on the matters that need to be enacted and newly established. Campus microgrid implements smart grid element technologies such as Integrated Energy Management System(EMS), Distributed Power(DG), Energy Storage System(ESS), Demand Response(DR), and Electric Vehicle(EV) in a university campus. As a system that reduces energy use and improves energy use efficiency and energy independence, standardization is established to secure interoperability and reliability of such systems.

Methodology Design of Information Strategy Planning for Smart Campus (스마트 캠퍼스 구축을 위한 ISP 수행 방법론 설계)

  • Song, Ji-hee
    • Proceedings of the Korea Contents Association Conference
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    • 2012.05a
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    • pp.275-276
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    • 2012
  • 스마트 시대의 대학 정보화 일환으로 스마트 캠퍼스 구축이 추진되고 있다. 구축을 보다 계획적이고 체계적으로 수행하기 위해서는 정보 전략 기획(ISP)을 필요로 한다. 이에 본 연구에서는 스마트 캠퍼스 구축을 위한 정보 전략 기획을 수행하기 위한 방법론을 환경 변화 분석, 현황 분석, To-Be 설계, 이행 계획 수립 등의 Flow 모형에 기반을 두고 설계하고자 한다.

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A study on a model of intercultural learning contents and methods

  • Jong Youl Hong
    • Smart Media Journal
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    • v.13 no.4
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    • pp.104-113
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    • 2024
  • This study is a model study on the contents and methods of intercultural learning. Starting with a discussion of the intercultural learning model construct, it presents key contents important for intercultural learning and learning methods that can increase the effectiveness of intercultural learning. Also, we actually conducted the above learning program at the learning site and discussed the observations and results. It was a case study that allowed us to test the effectiveness of cultural intelligence theory, the latest theory that can improve intercultural competency. In addition, in order for the cultural intelligence theory to be effective in the learning process, it was found that the PBL method, which allows learners to solve problems on their own, rather than cramming education, is useful. Additionally, it was found that the ARCS model was also very effective in motivating and maintaining learners' continuous motivation. At this time, the instructor was also able to see that the effect increases when the role of catalyst becomes the main one.

A Study on the Factors Affecting Smart Learning -Focusing on the Moderating Effect of Learning Time- (스마트러닝의 영향요인에 관한 연구 - 학습시점의 조절효과를 중심으로 -)

  • Shin, Ho-Kyun;Kim, Young-Ae
    • Journal of Korea Society of Industrial Information Systems
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    • v.16 no.5
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    • pp.93-105
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    • 2011
  • This study was performed to figure out the effects of perceived usefulness and ease of use in Technology Acceptance Model(TAM) affecting acceptance attitude and intention to use in smart learning. In addition, the study recognized the need for differentiation of learning time by analyzing the difference of effects influencing acceptance attitude of perceived usefulness and ease of use during learning time, which is at the beginning, midterm, and at the end of the term. As the results of the study, it showed that there were differences between the factors, the learning time of which was considered, affecting acceptance attitude and intention to use. Furthermore, in order to improve the effectiveness of building a smart campus, which is currently under the construction, the study argued that universities need to consider the learning relevance and subjective norm as important factors in perceived usefulness of smart learning. Finally, the need for the design of various smart learning types became accepted considering learning time.

Design of GlusterFS Based Big Data Distributed Processing System in Smart Factory (스마트 팩토리 환경에서의 GlusterFS 기반 빅데이터 분산 처리 시스템 설계)

  • Lee, Hyeop-Geon;Kim, Young-Woon;Kim, Ki-Young;Choi, Jong-Seok
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.11 no.1
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    • pp.70-75
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    • 2018
  • Smart Factory is an intelligent factory that can enhance productivity, quality, customer satisfaction, etc. by applying information and communications technology to the entire production process including design & development, manufacture, and distribution & logistics. The precise amount of data generated in a smart factory varies depending on the factory's size and state of facilities. Regardless, it would be difficult to apply traditional production management systems to a smart factory environment, as it generates vast amounts of data. For this reason, the need for a distributed big-data processing system has risen, which can process a large amount of data. Therefore, this article has designed a Gluster File System (GlusterFS)-based distributed big-data processing system that can be used in a smart factory environment. Compared to existing distributed processing systems, the proposed distributed big-data processing system reduces the system load and the risk of data loss through the distribution and management of network traffic.