• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.11
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• pp.33-43
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• 2019

Considerable efforts have been made to reduce greenhouse gas emission around the world to cope with climate change. The government is implementing G-SEED certification to promote energy efficient building design. This study aims to verify the effectiveness of the G-SEED certification system by analyzing the actual energy use of certified and non-certified office buildings. For this purpose, the energy consumption of 135 certified and 142 non-certified office buildings was analyzed according to the seasonal characteristics, building size and number of floors, approval year, and certification grade. The energy saving effects of certified buildings was about 50% higher than that of non-certified buildings. The seasonal energy consumption of buildings is closely related to the heating degree-days. The energy consumption of certified and non-certified buildings decreases with increasing approval year. On the other hand, the energy consumption according to building size and certification grade is not related. This study provides meaningful basic data of G-SEED certification system for future improvement. As the building energy performance standards are strengthened over the years, it is necessary to make the individual score of G-SEED certified projects open to the public to configure the factors of energy efficiency.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.11
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• pp.44-55
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• 2019

This study was undertaken to examine changes in the performance of nurses before and after initial cardiac arrest, and compare the performance, confidence, and satisfaction between two groups: group 1, Rapid Cycle Deliberate Practice simulation method; group 2, traditional simulation method. The participants were 122 nurses (group 1: 62, group 2: 60). Data were collected from March 18 to 29, 2019 and analyzed using the SPSS Version 23.0 program, by applying descriptive statistics, Fisher's exact test, t-test, Wilcoxon sign rank test, and Mann-Whitney U-test. Comparing the educational effects of the traditional simulation training vs. RCDP simulation training, some items of performance were significantly different (z=-2.02, p=0.044 / z=-2.42, p=0.015 / z=-3.03, p=0.002), but no difference was observed in the levels of confidence (z=0.388, p=0.699) and satisfaction (t=0.72, p=0.476) between the two groups. This study confirms that both training methods are effective teaching modules for enhancing the nurse's ability to perform resuscitation with confidence. Hence, we suggest applying the appropriate simulation method, according to the subjects included during education, and contents in the training of Advanced Life Support for nurses. Effectiveness of the modules can be ascertained by applying the RCDP simulation training method in various fields.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.254-263
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• 2020

This study developed indexes of farmers' acceptance factors for new farming technologies and evaluated the importance of the developed. For this study, farming technologies were classified according to the criteria established by the Rural Development Administration, and the Delphi technique was applied to evaluate the importance of the indexes. The indexes were composed of two tiers and evaluated by the analytic hierarchy process (AHP). Results showed that the importance of the first tier was finance and profitability with 43.9%, technology affairs 23.6%, labor environments 22.4%, and related industries and service system 10.1%. The importance of the second tier was the ease of technology acceptance 64.9% and technology completion 35.1% for technology affairs in the first tier, labor intensity 53.7%, work hazard 26.7%, working hours 19.6% for labor environment, farm income increment 69.9% and new fund required 30.1% for finance and profitability, and training and service system 66.7% and activation of related industries 33.7% for related industry and service system. This study may contribute to farmers' acceptance of new farming technologies and increase the efficiency and effectiveness of agricultural research and extension activities by the Rural Development Administration.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.86-93
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• 2020

The demand for maintenance in Korea infrastructure facilities constructed since the 1970s has increased significantly compared to the demand for new construction. Moreover, after the Gyeongju and Pohang earthquakes, seismic performance evaluation, repair, and retrofitting projects have been carried out. Therefore, in this study, a specimen was designed following the L-type GFRP Plate Externally Bonded Retrofit method, one among other retrofit methods. The L-type GFRP Plate was bonded to the specimen by epoxy and a washered steel nail. A four-point bending test was performed to confirm the strengthening effect of the Externally Bonded Retrofit method using an L-type GFRP Plate. The strengthening effect of the L-type GFRP plate was proven experimentally, and the behavior of the beam designed following the L-type GFRP Plate Externally Bonded Retrofit method was evaluated according to Korea's "Design Manual & Specification for Strengthening of RC Structures by Advanced Composites System". Furthermore, the effectiveness of the bonding method, a combination of epoxy and washered steel nail, was also checked. The results showed that the design, according to the guidelines mentioned above, predicted the strength of the member well, but the failure mode did not satisfy the design assumption because of unexpected damage to the GFRP plate due to the fixing method, washered steel nail.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.53-60
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• 2020

The bogies of railway vehicles are one of the most critical components for service. Fatigue defects in the bogie can be initiated for various reasons, such as material imperfection, welding defects, and unpredictable and excessive overloads during operation. To prevent the derailment of a railway vehicle, it is necessary to evaluate and detect the defect of a connection weldment between the car body and bogie accurately. The safety of the bogie weldment was checked using an ultrasonic test, and it is necessary to determine the occurrence of defects using a learning method. Recently, studies on deep learning have been performed to identify defects with a high recognition rate with respect to a fine and similar defect. In this paper, the databases of weldment specimens with artificial defects were constructed to detect the defect of a bogie weldment. The ultrasonic inspection using the wedge angle was performed to understand the detection ability of fatigue cracks. In addition, the convolutional neural network was applied to minimize human error during the inspection. The results showed that the defects of connection weldment between the car body and bogie could be classified with more than 99.98% accuracy using CNN, and the effectiveness can be verified in the case of an inspection.

• Journal of Korean Library and Information Science Society
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• v.49 no.3
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• pp.55-75
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• 2018

The purpose of this study is to identify characteristics of secondary school teachers' perceptions and experiences of school libraries and to suggest strategies for its' activation. In order to achieve this aim, the questionnaire survey was conducted for 229 secondary school teachers who participated in K university qualification training in 2017. As a result, they recognize that school libraries are an essential facility and that continuous support and investment are needed. They think that the effectiveness of the school library is very helpful for creating a leisure and cultural life and for stimulating reading atmosphere and education, and this perception is stronger at lower ages. The number of school library use of them is as low as once a month, and the purpose of use is mainly for cultivation and leisure. The discomfort of the school library is mostly due to lack of materials and space for them. In particular, they have a lack of knowledge and necessity about the method of library-based instruction and insufficient preparation time and poor materials. Teachers are highly aware of the need and utility of training, and prefer training with peers. Therefore, it is necessary to develop strategies such as remodeling space and increasing collections for their study and instruction, and foster peer supervision so that they can actively utilize school library in subjects management.

• Journal of Intelligence and Information Systems
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• v.15 no.1
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• pp.123-140
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• 2009

Collaborative filtering recommends products using customers' preferences, so it cannot recommend products to the new customer who has no preference information. This paper proposes a novel approach to new customer recommendations using the social network analysis which is used to search relationships among social entities such as genetics network, traffic network, organization network, etc. The proposed recommendation method identifies customers most likely to be neighbors to the new customer using the centrality theory in social network analysis and recommends products those customers have liked in the past. The procedure of our method is divided into four phases : purchase similarity analysis, social network construction, centrality-based neighborhood formation, and recommendation generation. To evaluate the effectiveness of our approach, we have conducted several experiments using a data set from a department store in Korea. Our method was compared with the best-seller-based method that uses the best-seller list to generate recommendations for the new customer. The experimental results show that our approach significantly outperforms the best-seller-based method as measured by F1-measure.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.1
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• pp.133-146
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• 2015

Ever sophisticated e-finance fraud techniques have led to an increasing number of reported phishing incidents. Financial authorities, in response, have recommended that we enhance existing Fraud Detection Systems (FDS) of banks and other financial institutions. FDSs are systems designed to prevent e-finance accidents through real-time access and validity checks on client transactions. The effectiveness of an FDS depends largely on how fast it can analyze and detect abnormalities in large amounts of customer transaction data. In this study we detect fraudulent transaction patterns and establish detection rules through e-finance accident data analyses. Abnormalities are flagged by comparing individual client transaction patterns with client profiles, using the ruleset. We propose an effective flagging method that uses decision trees to normalize detection rules. In demonstration, we extracted customer usage patterns, customer profile informations and detection rules from the e-finance accident data of an actual domestic(Korean) bank. We then compared the results of our decision tree-normalized detection rules with the results of a sequential detection and confirmed the efficiency of our methods.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.4
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• pp.933-940
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• 2015

IT environments such as IoT, SNS, BigData, Cloud computing are changing rapidly. These technologies add new technologies to some of existing technologies and increase the complexity of Information System. Accordingly, they require enhancing the security function for new IT services. Information Security Pre-inspection aims to assure stability and reliability for user and supplier of new IT services by proposing development stage which considers security from design phase. Existing 'Information Security Pre-inspection' (22 domains, 74 control items, 129 detail items) consist of 6 stage (Requirements Definition, Design, Training, Implementation, Test, Sustain). Pilot tests were executed for one of IT development companies to verify its effectiveness. Consequently, for some inspection items, some improvement requirements and reconstitution needs appeared. This paper conducts a study on activation of 'Information Security Pre-inspection' which aims to construct prevention system for new information system. As a result, an improved 'Information Security Pre-inspection' is suggested. This has 16 domains, 54 inspection items, 76 detail items which include some improvement requirements and reconstitution needs.

• Journal of Navigation and Port Research
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• v.39 no.3
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• pp.199-207
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• 2015

In ports of Korea, the marine traffic flow is congested due to a large number of vessels coming in and going out. In order to improve the safety and efficiency of these vessels, South Korea is operating with a Vessel Traffic Service System, which is monitoring its waters for 24 hours. However despite these efforts of the VTS (Vessel Traffic Service) officers, collisions are occurring continuously, the risk situation is analyzed that occurs once in about 20 minutes, the risk may be greater. It investigated to reduce these accidents by providing a safety standard for collision danger in a timely manner. Thus, this study has developed a risk prediction module to predict risk in advance. This module can avoid collision risk to adjust the speed and course of ship using a risk evaluation model based on ship operator's risk perspective. Using this module, the ship operators and VTS officers can easily be identified risks in complex traffic situations, so they can take an appropriate action against danger in near future including course and speed change. To verify the effectiveness of this module, this paper predicted the risk of each encounter situation and confirmed to be capable of identifying a risk changes in specific course and speed changes at Busan coastal water.