• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.3
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• pp.931-942
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• 2010

A home network provides users with a variety of information services. The kind and quality of the services can be substantially enhanced by utilizing a variety of data from sensors. However, home networks currently limit their potential by focusing on providing multimedia services rather than services utilizing sensor data. Outdoor electronics are frequently made in a form that emphasizes only certain limited functions in contrast to home appliances. Thus, sensors with one or two functions rather than many can be used in outdoor systems and their use will be more economical than using sensor nodes indoors with more complex home appliances. In this study, we chose to work with motion sensors as they have many potential uses, and we selected a parking lot control system with to use the motion sensors. This parking lot control system was implemented and applied as part of a home network. For this purpose, we defined and implemented a protocol to manage the network in a ubiquitous sensor network environment for the wireless home network in this study. Although a network management system in a Ubiquitous Sensor Network (USN) related to this study is being advanced for other projects, the protocol interface and message system have not yet been clearly defined for use in a general purpose network or in an extension into heterogeneous kinds of networks, communication support, etc. Therefore, USN network management should be conducted for management of faults, composition, power, and applications. To verify the performance of the protocol interface designed in this study, we designed and implemented the necessary units (sensor nodes, sensor gateway, and server) for each network section and, with them, proved the validity of this study.

• Korean Journal of Construction Engineering and Management
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• v.21 no.5
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• pp.11-19
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• 2020

A daily progress monitoring and further schedule management of a construction project have a significant impact on the construction manager's decision making in schedule change and controlling field operation. However, a current site monitoring method highly relies on the manually recorded daily-log book by the person in charge of the work. For this reason, it is difficult to take a detached view and sometimes human error such as omission of contents may occur. In order to resolve these problems, previous researches have developed automated site monitoring method with the object recognition-based visualization or BIM data creation. Despite of the research results along with the related technology development, there are limitations in application targeting the practical construction projects due to the constraints in the experimental methods that assume the fixed equipment at a specific location. To overcome these limitations, some smart devices carried by the field workers can be employed as a medium for data creation. Specifically, the extracted information from the site picture by object recognition technology of CNN model, and positional information by GIPS are applied to update 4D BIM data. A standard CNN model is developed and BIM data modification experiments are conducted with the collected data to validate the research suggestion. Based on the experimental results, it is confirmed that the methods and performance are applicable to the construction site management and further it is expected to contribute speedy and precise data creation with the application of automated progress monitoring methods.

• 한국사회정책
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• v.25 no.1
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• pp.259-286
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• 2018

The purpose of this study is to examine which factors decide welfare exit in the hope building account program that targets low-income families. This study used the matched DB of hope ribbon program and hope building account program which is collected by central self-sufficiency foundation. As a result, the significant factors in welfare exit are main income, health(illness), licensed possession of status, education, marital status, employment and entrepreneurship, in-kind support, professional case management service, and social service. In particular, the participants who received proper social services and case management services in the program have more possibility of welfare exit than the participants who did not. It have implications in that the study found the success factors by connecting hope ribbon program and the hope building account program which has been introduced since 2010 and enlarge the scope of the performance analysis of the hope building account program. In addition, this study provides the suggestions to improve anty-poverty policy and system in the direction of providing work incentives and facilitating welfare exit and securing continuity of the hope building account program and the hope ribbon program. Specifically, this paper can be utilized as objective data in establishing a expansion of the hope building account program and suggesting the important issue for the case management in the filed.

• Journal of Convergence for Information Technology
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• v.9 no.2
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• pp.23-33
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• 2019

Research and development(R&D) activities consist of analytical survey and state-of-the-art report writing for technical information. As R & D activities become more concrete, it often happens that they refer to related technical documents that were created in previous steps or created in previous similar projects. This paper proposes a research-task based reuse recommendation framework(RTRF), which is a reuse recommendation system that enables researchers to efficiently reuse the existing artifacts. In addition to the existing keyword-based retrieval and reuse, the proposed framework also provides reusable information that researchers may need by recommending reusable artifacts based on task similarity; other developers who have a similar task to the researcher's work can recommend reusable documents. A case study was performed to show the researchers' efficiency in the process of writing the technology trend report by reusing existing documents. When reuse is performed using RTRF, it can be seen that documents of different stages or other research fields are reused more frequently than when RTRF is not used. The RTRF may contribute to the efficient reuse of the desired artifacts among huge amount of R&D documents stored in the repository.

• Membrane Journal
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• v.29 no.3
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• pp.173-182
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• 2019

Much research has been made for finding new and eco-friendly alternative sources of energy to solve the problems related with the pollution caused by emissions of greenhouse gases such as carbon dioxide as the use of fossil fuels increases worldwide. Among them, fuel cells draws particular interests as an eco-friendly energy generator because only water is obtained as a by-product. Anion exchange membrane-based alkaline fuel cell (AEMFC) that uses anion exchange membrane as an electrolyte is of increased interest recently because of its advantages in using low-cost metal catalyst unlike the PEMFC (potton exchange membrane fuel cell) due to the high-catalyst activity in alkaline conditions. The main properties required as an anion exchange membrane are high hydroxide conductivity and chemical stability at high pH. Recently we reported a chemically crosslinked poly(2-dimethyl-1,4-phenylene oxide) (PPO) by reacting PPO with N,N,N',N'-tetramethyl-1,6-hexanediamine as novel anion exchange membranes. In the current work, we further developed the same crosslinked polymer but having enhanced physicochemical properties, including higher conductivity, increased mechanical and dimensional stabilities by using the PPO with a higher molecular weight and also by increasing the crosslinking density. The obtained polymer membrane also showed a good cell performance.

• Journal of Korea Entertainment Industry Association
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• v.15 no.8
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• pp.45-62
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• 2021

This article examines celeactor as cultural contents focused on the multi-persona in a South Korean reality show program . The celeactor is a form of celebrity and part of a celetoid. Celebrity can be categorized by three forms: ascribed form, achieved form and attributed form. In attributed form, the celetoid suddenly becomes popular through the media. The celeactor is a subcategory of the celetoid. The celeactor is defined by a virtual character that exist in temporary or institutionalized traits of popular culture. The Korean celebrity culture presents Korean intellectual factors, spiritual aspects, tastes, moral virtue, power relationships and traditional hierarchy. In order to examine the features of the Korean celeactor in cultural contents, this article focuses on the multi-persona of celebrity in South Korean popular culture through fantasy, challenge and nostalgia. This article examines the multi-persona of celebrity represented in South Korean popular culture as a negotiated response to cultural identity deconstructed and reconstructed in performance. The research methodology is to analyze a South Korean television reality show program on MBC Hangout with Yoo that represents various sub-characters performed by Jae-suk Yoo, a South Korean comedian and host. As for theoretical underpinning, this exploration joins work on Erving Goffman's (1959) notion of self-presentation and Chris Rojek's (2001) celebrity studies.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.34 no.1
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• pp.167-188
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• 2023

This study reviewed the current status of low-experienced teacher librarians with less than 5 years and attempted to identify their educational needs through IPA analysis, Borich Priority Formula, and The Locus for Focus Model. A survey was conducted on low-experienced teacher librarians with less than 5 years of experience to analyze their process in the pre-service teacher training and experiences before an appointment and to identify teacher librarians instructional expertise. The results of the analysis of the study are as follows. First, there was a statistically significant difference between the importance and performance in all areas of instructional expertise of low-experienced teacher librarians. Second, 'reading education-practice progress' was recognized as a 'Keep up good work' with high importance and satisfaction, and 'library-based instruction planning, progress evaluation', 'information literacy-curriculum design', and 'digital and media literacy education-progress and evaluation' were recognized as areas of 'Concentrate here' through IPA analysis. Third, In the Borich Priority Formula, 'teaching-learning evaluation', 'teaching-learning progress', and 'teaching-learning plan' in the Library based instruction area showed the highest educational needs. Fourth, the library-based instruction was shown to the high discrepancy/high importancy area as same as the Borich Proity Formula. The results of this study can provide implications for improving the instructional expertise of teacher librarians.

• Korean Journal of Culture and Social Issue
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• v.23 no.4
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• pp.527-556
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• 2017

The purpose of this study was to examine the effect of group success on organizational commitment in organizational situations. It also aimed to investigate the dynamics in the relevance of motivational attitudes to the individual and group level variables(collective efficacy, group cohesiveness). This study used a multi-level model and tested a series of hypotheses through meso-mediation procedure. The results from 613 naval officials in 36 groups provided evidence that; (1) collective efficacy mediated the relationship between group success and group cohesiveness, (2) the cross-level main effects of group success and collective efficacy were shown on vocationa[l self-efficacy, (3) group cohesiveness exerted positive influence on organizational commitment and (4) the meso-mediation effects among the variables at the multi-level were revealed. It was found that the degree of work motivation and motivational attitudes depended on the group's contextual factors, and that each group's shared perceptions on group performance outcomes could be an important motivational source and cornerstone leading to group cohesiveness. The implications and limitations of these study as well as the direction for future study were discussed.

• Journal of Service Research and Studies
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• v.12 no.3
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• pp.26-44
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• 2022

Job stress experienced during work has a positive effect on the organization, such as performance improvement, but if not properly managed, it can cause physical diseases such as digestive diseases and mental diseases such as depression and neurological diseases. If job stress persists for a long time, it causes emotional exhaustion and depression, which has a significant adverse effect on individuals and organizations, so proper management is essential. Therefore, in this study, a descriptive survey study was conducted using a self-report questionnaire method to find out the relationship between job stress, emotional exhaustion and depression of medical institution workers. As a result of the analysis, it was found that job stress of medical institution workers had a significant (+) effect on emotional exhaustion and depression, and emotional exhaustion of medical institution workers had a significant (+) effect on depression. Through this study, it was found that there was a significant relationship between job stress, emotional exhaustion, and depression of hospital employees, and that emotional exhaustion acts as a parameter in the relationship between job stress and depression. Considering that job stress of hospital employees causes adverse organizational effects, such as threatening workers' mental and physical health and causing deterioration in the quality of medical services, organizational efforts will be needed to relieve and properly manage job stress of hospital employees.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.3
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• pp.199-206
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• 2023

This study utilizes deep learning algorithms to automatically classify construction waste into three categories: wood waste, plastic waste, and concrete waste. Two models, VGG-16 and ViT (Vision Transformer), which are convolutional neural network image classification algorithms and NLP-based models that sequence images, respectively, were compared for their performance in classifying construction waste. Image data for construction waste was collected by crawling images from search engines worldwide, and 3,000 images, with 1,000 images for each category, were obtained by excluding images that were difficult to distinguish with the naked eye or that were duplicated and would interfere with the experiment. In addition, to improve the accuracy of the models, data augmentation was performed during training with a total of 30,000 images. Despite the unstructured nature of the collected image data, the experimental results showed that VGG-16 achieved an accuracy of 91.5%, and ViT achieved an accuracy of 92.7%. This seems to suggest the possibility of practical application in actual construction waste data management work. If object detection techniques or semantic segmentation techniques are utilized based on this study, more precise classification will be possible even within a single image, resulting in more accurate waste classification