• Journal of the Korean Society for Library and Information Science
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• v.51 no.2
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• pp.157-178
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• 2017

The objective of this study is to investigate college student search behavior in an academic library. The theory of planned behavior was applied for identifying relationship among variables on search behavior. Data were collected in an university. For data analysis, ANOVA, factor analysis, regression analysis, cluster analysis were used. The result shows: the theory of planned behavior can be used for finding search intention in an academic library. Student major and library use frequency are different statistically in attitudes, perceived behavioral control, behavioral intention. Student characteristics are divided into four types: conservative, independent, friendship, fashion. Friendship type of students influences search behavior. From cluster analysis, the cluster included friendship and independent types of students and students who have high frequency of library use has more active intention for search in academic library.

• Convergence Security Journal
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• v.21 no.4
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• pp.41-48
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• 2021

Recently, the aspect of war is evolving due to the 4th industrial revolution technology. Among them, AI technology is changing the way of war as it is applied to advanced weapon systems and decision-making systems. Mosaic Warfare, presented by the U.S. DARPA, is shifting military warfare from attrition-centric warfare to decision-centric warfare by combining Internet of Things, cloud computing, big data, mobile, and artificial intelligence technologies. In addition, it is a method to perform operations quickly so that the most offensive effect can be achieved by appropriately combining the distributed and deployed forces according to the battlefield context. In other words, military operations are not carried out through a uniform combat process, but various forces are operated through a distributed system depending on the battlefield context. In cyber warfare, as artificial intelligence is applied to cyber attack technology, there is a limit to responding with the same procedural response method as the existing cyber kill chain. Therefore, in this paper, the execution method of mosaic warfare is applied to perform context-resilient cyber operations that can operate a response system according to the attack and cyberspace context.

• Proceedings of the Korean Information Science Society Conference
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• 2008.06b
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• pp.388-393
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• 2008

유비쿼터스 지능 공간 환경에서 중요한 이슈는 사용자에게 현재 상황에 최적의 서비스를 제공하는 것이며, 이를 위해서 상황 인식(Context Aware) 기법에 대한 연구가 널리 진행되고 있다. 유비쿼터스 지능 공간은 분산 배치된 수많은 애플리케이션 및 장치와 같은 스마트 객체들이 존재하여 사용자에게 최적의 서비스를 제공하는 환경이다. 유비쿼터스 지능 공간에서는 각 스마트 객체가 수집하는 데이터는 무수히 많다. 사용자에게 최적의 서비스를 제공하기 위해선 데이터들을 빠르게 처리하여 서비스를 제공하여야 한다. 현재 연구된 스케줄링 방법은 데이터 처리에만 중점을 두었기 때문에 스스로 상황을 인지하여 예측하여야 하는 유비쿼터스 지능 공간을 위한 미들웨어에는 적합하지 않다. 본 논문은 수집한 데이터를 바탕으로 상황을 인식하고 태스크의 우선순위를 재조정하는 상황 인지형 실시간 스케줄링 기법을 제안한다. 제안하는 상황 인지형 실시간 스케줄링 기법인 U-RM, U-EDF와 기존의 RM, EDF 알고리즘을 비교하여 성능평가를 한 결과 U-RM은 기존의 RM보다 최대 20.7%의 성능 향상을 보였으며, U-EDF의 경우 기존의 EDF 보다 최대 26.8%의 성능 향상을 보였다.

• Annual Conference of KIPS
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• 2015.10a
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• pp.471-474
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• 2015

최근 사물인터넷이 빠른 속도로 발전할 것으로 예측됨에 따라서, 서비스들은 사용자들에게 제공되기 위해서 작은 디바이스부터 거대한 디바이스들간의 임베디드 디바이스의 발전과 센서 허브와 같은 보조 프로세서의 발전을 통해, 서로 연결되고 있으며, 사용자들을 위해 지금보다 더 정확하고 신뢰할 수 있는 맞춤형 사물인터넷 서비스를 제공하기 위한 개발의 필요성이 대두되고 있다. 효과적인 서비스 구축을 위한 기법들로 하위 디바이스 계층의 수준과 상위 어플리케이션 계층의 수준을 서로 구분 지을 수 있도록 서비스 지향형 컴퓨팅 방식을 사용하는 여러 계층 구성의 계층적 추상화 접근 방법이 소개되고 있지만, 사용자들에게 더 정확하고 신뢰할 수 있는 서비스를 구축하는 것은 여전히 다양한 이슈가 존재한다. 본 논문에서는 서비스 객체의 단방향 그래프 구성 기법을 적용하여, 효과적이고 신뢰할 수 있는 사물인터넷 서비스 구성을 위하여 서비스 오브젝트를 단방향 그래프 자료구조로 구성한 새로운 형태의 IoT 미들웨어 구조를 제안한다. 또한, 새로 제안된 미들웨어 구조상에서의 사용자의 사용 시나리오 및 시스템 성능상의 이점을 분산 시뮬레이션을 통하여 증명한다.

• Journal of Korean Society of Forest Science
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• v.79 no.3
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• pp.269-277
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• 1990

In planning the disaster prevention by the erosion control facilities, it is essential to focus on the microtopography of the channel bed and the chronological process of sedimental movement in the torrential streams. For this purpose, the microtopographical change of the channel bed and the effects of the erosion control facilities in the mountain torrents were analyzed by the experimental channel and the field survey of the torrents where low-dam series had been constructed in the channel. The results of this experiment showed that the effects of construction of the low-dam series on the channel bed fixiation were the prevention of the local scouring in the experimental channel and the expansion of flow channel width and deposit space. The results are summarized as follows : 1. When the low-dam series were constructed over the whole channel bed (L'/L=1), the conning water and the sediment were seperated, simultaneously resulting in deposition of sediment and reduction of the tractive force for the running water. Therefore, the F.A. (Fluctuation area in cross-section: value was decreased to about 65% compared with that of non-work (L'/L=0). 2. The efficiencies of the low-dam series on the channel width were increased with an increment in length of working space. After the construction of low-dam series on the whole channel bed (L'/L=1), flow channel width was increased to about 1.53 times compared with that of non-work (L'/L=0). 3. It needs a deposition area to store the sediment with decrease in tractive force. The low-dam series in the experimental channel widened the deposition area about 2.10 times compared with that of non-work.

• Journal of the Economic Geographical Society of Korea
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• v.20 no.4
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• pp.522-535
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• 2017

It is necessary to develop a new location model to support the application of smart technology and confluence in the 4th industrial revolution era. In this study, we propose 'network-type industrial complex' as a method to link several industrial integrated spaces which are dispersed in an area. As a result of conducting a survey of companies in order to develop a new location model, about 89% of companies recognized the necessity of network-type industrial complex. As a condition for activation of the industrial complex, 'complementary function formation', and 'convenience of nodular transportation' were selected. It is expected that it will be possible to supply low-cost, high-efficiency industrial complexes through opening and linking with urban space and infrastructure sharing.

• Journal of KIISE:Software and Applications
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• v.34 no.8
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• pp.731-742
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• 2007

Self-growing software is a software system that has the capability of evolving its functionalities and configurations by itself based on dynamically monitored situations. Self-growing software is especially necessary for intelligent service robots, which must have the capability to monitor their surrounding environments and provide appropriate behaviors for human users. However, it is hard to anticipate all situations that robots face with, and it is hard to make robots have all functionalities for various environments. In addition, robots have limited internal capacity. To support self-growing software for intelligent service robots, we are developing a cell-based distributed repository system that allows robots and developers transparently to share robot functionalities. To accomplish the creation of evolutionary repositories, we invented the concept of a cell, which is a logical group of distributed repositories based upon the functionalities of components. In addition, a cell can be used as a unit for the evolutionary growth of the components within the repositories. In this paper, we describe the requirements and architecture of the cell-based repository system for self-growing software. We also present a prototype implementation and experiment of the repository system. Through the cell-based repositories, we achieve improved performance of self-growing actions for robots and efficient sharing of components among robots and developers.

• KIPS Transactions on Computer and Communication Systems
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• v.9 no.12
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• pp.291-306
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• 2020

Nowadays, Data-Network-AI (DNA)-based intelligent services and applications have become a reality to provide a new dimension of services that improve the quality of life and productivity of businesses. Artificial intelligence (AI) can enhance the value of IoT data (data collected by IoT devices). The internet of things (IoT) promotes the learning and intelligence capability of AI. To extract insights from massive volume IoT data in real-time using deep learning, processing capability needs to happen in the IoT end devices where data is generated. However, deep learning requires a significant number of computational resources that may not be available at the IoT end devices. Such problems have been addressed by transporting bulks of data from the IoT end devices to the cloud datacenters for processing. But transferring IoT big data to the cloud incurs prohibitively high transmission delay and privacy issues which are a major concern. Edge computing, where distributed computing nodes are placed close to the IoT end devices, is a viable solution to meet the high computation and low-latency requirements and to preserve the privacy of users. This paper provides a comprehensive review of the current state of leveraging deep learning within edge computing to unleash the potential of IoT big data generated from IoT end devices. We believe that the revision will have a contribution to the development of DNA-based intelligent services and applications. It describes the different distributed training and inference architectures of deep learning models across multiple nodes of the edge computing platform. It also provides the different privacy-preserving approaches of deep learning on the edge computing environment and the various application domains where deep learning on the network edge can be useful. Finally, it discusses open issues and challenges leveraging deep learning within edge computing.

• Journal of the Korea institute for structural maintenance and inspection
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• v.23 no.5
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• pp.1-12
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• 2019

The purpose of this study is to enhance the seismic performance of exposed column-base plate weak-axis connections for small-sized steel buildings. According to the site inspection for the small-sized building construction, the arbitrary connection details in steel buildings have been applied at the job site, which is considered to be insufficient to guarantee structural safety and stability considering the increased seismic risk in Korea. Therefore, a series of test programs had been done to develop enhanced connection details in order to ensue the adequate seismic stability and safety of small-sized steel buildings. From the test results, It was found that the exposed column-base plate weak-axis connections commonly used in Korea shows very poor seismic behavior due to the "Rocking" phenomena caused by the residual plastic deformation of anchor bolts between anchor plate and concrete. A series of hysteretic tests for finding that solution were conducted to reduce the "Rocking" phenomena of the column-base plate connections, and local buckling of webs in H-column. Finally the enhanced stable seismic behavior was obtained by reinforcing at least 8 anchor bolts with good bonding strength and stiffeners to the webs in H-column.

• The Journal of Sustainable Design and Educational Environment Research
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• v.21 no.3
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• pp.1-13
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• 2022

This study is a case study to identify the spatial composition and structural problems of existing schools for spatial innovation as a future school that can operate a credit system for old high schools and establish a mid-to-long-term arrangement plan as a credit system operating school capable of various teaching and learning in the future. The study results are as follows: First, most of the problems of the old high schools entailed that there was very poor connectivity between buildings as most of them were arranged in a single, standard design-type unit building and distributed in multiple buildings. In addition, the floor plan of each building is suggested to be a structure in which student exchange and rest functions cannot be achieved during the break period due to the spatial composition of the classroom and hallway concepts. Second, in the direction of the high school space configuration for future school space innovation, the arrangement plan should be established by reflecting the collective arrangement in consideration of the shortening of the movement route and the expansion of subject areas due to the movement of students on the premise of the subject classroom system. Moreover, it is desirable to provide a square-type space for rest and exchange in the central area where communication and exchange are possible according to the moving class. Third, as the evaluation criteria for relocating old high schools, a space program is prepared based on the number of classes in the future, and legal analysis of school land use and land use efficiency analysis considering regional characteristics are conducted. Based on such analysis data, mid-to-long-term land use plans and space arrangement plans for the entire school space such as the school facility complex are established.