Bae, HeeSun;Shin, Seungjae;Moon, Il-Chul;Bae, Jang Won
Journal of the Korea Society for Simulation
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v.30
no.1
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pp.113-126
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2021
The future energy consumption pattern will show a very different pattern from the present due to the increase of distributed power sources such as renewable energy and the birth of the concept of prosumers, etc. Accordingly, it can be predicted that the direction of establishment of an appropriate production and supply plan considering the stability and consumption efficiency of the entire power grid will also be different from now. This paper proposes a simulation model that can test a new operational strategy when faced with a number of possible future environments. Through the proposed model, it is possible to simulate and analyze power consumed and supplied in a future Smart Grid environment, in which a large amount of new concepts including energy storage service (ESS) and distributed energy resources (DER) will be added. In particular, it is possible to model complex systems structurally by using DEVS formalism among the ABM (Agent-Based Model) methodologies that can model decision-making for each agent existing in the grid, and several factors can be easily added to the grid. The simulation model was verified using given dataset in the current situation, and scenario analysis was performed by simply adding an ESS, one of the main elements of the smart grid, to the model.
The Journal of Korea Institute of Information, Electronics, and Communication Technology
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v.15
no.2
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pp.95-102
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2022
It is a study for the evaluation of the stability of the distribution automation system for the expansion of renewable energy. Through the Renewable Energy 3020 Implementation Plan, the government plans to expand new renewable energy and convert it to participatory energy that improves the quality of life of the people by 2030. The government has set a target of 20% of domestic supply energy for renewable energy generation by 2030. It is planning to establish more than 95 percent of its new facilities with clean energy such as solar power and wind power. By expanding the supply of renewable energy, new energy businesses and distributed power industry were fostered, and short-distance, low-voltage, and small-scale power generation were rapidly expanded rather than large-scale power development in the past. Due to this demand, the importance of power distribution facility operation has emerged and the need for distribution automation system is increasing. This paper discusses the development of a power distribution simulator for the performance and function evaluation of power distribution automation systems and presents the results of an interlocking test with the power distribution automation system. In order to introduce an advanced system into the power distribution system, it is necessary to take advantage of the transmission and distribution system. The DNP3.0 protocol is used in the distribution system and the IEC61850 protocol is used in the transmission and distribution system. It was concluded that the functions and performance of operations were satisfied when these two protocols are mixed and used in the distribution automation system.
The Journal of Korean Academy of Sensory Integration
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v.20
no.2
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pp.36-45
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2022
Objective : The objective of this study was to determine a discriminat validity of the Sensory Processing Scale-Children (SPS-C) for children with and without Sensory Processing Disorder (SPD). Method : The SPS-C was completed by parents of 151 Korean children including 68 typically developing children (control group), 83 children with SPD (known group) in the age range 3-5 years, in South Korea. ANCOVA with sex as covariable was used to identified the difference between the children with typically development and SPD. Results : Sensory processing differences in sensory domains and sensory factors were detected and the gender differences were not effective between typically developing children and children with SPD. Significant differences were found in all sensory domain score and total score except proprioceptive processing in sensory domain. In sensory factors, significant differences were found in overrsensitivity, underresponsivity, and discrimination, but sensory seeking was not significant. SPS-C was a valid assessment tool to identify or screen of SPD in Korea. Conclusion : The psychometric characteristics for the standardization study of SPS-C were presented, and the discriminant validity to screen the children with sensory processing problems was presented as a verified evaluation tool. SPS-C will be helpful in screening, analyzing and interpreting characteristics of sensory processing, and establishing an intervention plan.
Journal of Korean Home Economics Education Association
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v.34
no.3
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pp.25-47
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2022
The purpose of this study is to develop a teaching and learning plan for parental understanding classes for middle school students and to investigate the effect of the classes on the parent-child relationship by implementing the class. The classes were conducted from July 5 to July 15, 2021, for the second graders of S middle school in Gwangju Metropolitan City, in a total of 6 sessions, i.e., 3 sessions per week for 2 weeks. The influence of classes on parent-child relationship was measured in terms of the understanding of the middle age, degrees of interaction, affection, and bond with parents. In order to analyze the impact of classes, pre- and post-class online surveys were conducted on 184 students who agreed to participate. For the collected quantitative data, descriptive statistics, reliability analysis, and pairwise t-tests were performed using the SPSS Ver 22.0 statistical program. According to the results, students' understanding of the developmental characteristics of middle age increased and the interaction between the students and their parents increased after the class. And the overall affection with the mother increased significantly. Also, students' bonds with both mother and father were significantly improved. Based on these results, the necessity and direction of home economics class were discussed to form a positive relationship between adolescent children and their parents.
This study aimed to examine relationships between founders' entrepreneurial leadership, team learning behavior, team boundary spanning, and perceived performance in early-stage startups. The following results were recorded: (i) the indirect effects of entrepreneurial leadership on perceived performance via team learning behavior were statistically significant (β=.309, p<.05). (ii) relationships between team learning behavior and perceived performance were strengthened by team boundary spanning behavior (β=.259, p<.05). In this study, three practical implications are provided as follows: (i) startups need to seek team learning readiness and external learning stimulus to facilitate generative and transformative team learning; (ii) accelerators need to develop an entrepreneurial leadership program for founders; and (iii) startups need to explore external information by interacting with investors, R&D institutions, and other startups to strengthen the impact of team learning behavior on performance. Furthermore, two directions for future research are suggested as follows: (i) future researchers need to test causal relationships between entrepreneurial leadership and team learning behavior based on a newly designed time-series measurement plan; (ii) the actual effects of entrepreneurial leadership, team learning behavior and team boundary spanning on financial performance need to be tested two or three years later when the financial performance of early-stage startups usually becomes evident.
Journal of Korea Entertainment Industry Association
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v.14
no.2
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pp.109-118
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2020
This study examines the relative usefulness of the TPB and Extended TPB with the addition of the "Battery" variable to participants in marine sports experiences. The characteristics of behavioral theories (attitude, subjective norms, perceived behavioral control, and revisit intention) were compared. A total of 420 questionnaires were distributed and surveyed using the convenience sampling method to the general public who participated in the marine sports experience in S city in 2019. Finally, 385 copies of valid samples were extracted, except for the questionnaire. The following analyzes were performed using SPSS 21.0 and AMOS 21.0. Frequency analysis, confirmatory factor analysis, concept reliability, AVE value, Cronbach's α correlation analysis, hierarchical regression analysis, and independent sample t-test were performed. First, in the TPB, three predictors were found to have a positive effect on revisit intention. Attitudes, subjective norms, and prior knowledge, except for behavioral control, were found to have a positive effect. Second, the explanatory power to explain the return intention was 51.8% (3.3% more than plan behavior theory, p = .000). It can be seen that when prior knowledge is added as a new variable, it is an important factor in explaining intention to return. Third, prior knowledge variables were classified into high and low groups to compare the characteristics of the extended planning behavior theory. The results of the analysis showed that the group with higher prior knowledge had a higher mean value for the constituent variables of the extended planning behavior theory.
The demand for information related to 3D spatial objects model in metaverse, smart cities, digital twins, autonomous vehicles, urban air mobility will be increased. 3D model construction for spatial objects is possible with various equipments such as satellite-, aerial-, ground platforms and technologies such as modeling, artificial intelligence, image matching. However, it is not easy to quickly detect and convert spatial objects that need updating. In this study, based on spatial information (features) and attributes, using matching elements such as address code, number of floors, building name, and area, the converged building DB and the detected building DB are constructed. Both to support above and to verify the suitability of object selection that needs to be updated, one system prototype was developed. When constructing the converged building DB, the convergence of spatial information and attributes was impossible or failed in some buildings, and the matching rate was low at about 80%. It is believed that this is due to omitting of attributes about many building objects, especially in the pilot test area. This system prototype will support the establishment of an efficient drone shooting plan for the rapid update of 3D spatial objects, thereby preventing duplication and unnecessary construction of spatial objects, thereby greatly contributing to object improvement and cost reduction.
The Literature Museum Network aims to realize the legislative purpose of the Literature Promotion Act and achieve balanced development of local literature centers across the country. In the Literature Museum Network, the literature museum network support center will be established by region to take charge of cooperation projects between local literature centers, which will be the culmination of the National Literature Museum of Korea. It is intended to test-run various projects planned by the Munhakwan Network Support Center to create derivative contents, or to establish a regional hub literature center in charge of education and other affairs of the literature museum's workforce. If the existing metropolitan administrative districts are used to form zones, the entire country can be organized into four zones. They include the Seoul-Gyeonggi Literature Museum Network (23 local literature centers), the Gangwon Chungcheong Literature Museum Network (32 local literature centers), the Yeongnam Literature Museum Network (30 local literature centers), and the Honam Jeju Literature Museum Network (22 local literature centers). One literature museum network support center will be established for each region and one local literature center will be selected as the hub literature center. The Literature Hall Network Support Center is in charge of collecting and managing literary materials, developing contents and programs, promoting and foreign cooperation, etc. The hub literature museum will be in charge of pilot operation of content and programs, training and education of experts in the literature museum, and running joint storage facilities. This structural system and efficient operation of the literature museum network will ultimately provide an opportunity for the formation of cultural governance in which the power and public nature of the establishment of literary promotion infrastructure are secured.
Journal of the Korea Society of Computer and Information
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v.27
no.12
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pp.59-68
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2022
This paper presents a method for 1:1 verification by comparing the similarity between the given real product image and the drawing image. The proposed method combines two existing CNN-based deep learning models to construct a Siamese Network. After extracting the feature vector of the image through the FC (Fully Connected) Layer of each network and comparing the similarity, if the real product image and the drawing image (front view, left and right side view, top view, etc) are the same product, the similarity is set to 1 for learning and, if it is a different product, the similarity is set to 0. The test (inference) model is a deep learning model that queries the real product image and the drawing image in pairs to determine whether the pair is the same product or not. In the proposed model, through a comparison of the similarity between the real product image and the drawing image, if the similarity is greater than or equal to a threshold value (Threshold: 0.5), it is determined that the product is the same, and if it is less than or equal to, it is determined that the product is a different product. The proposed model showed an accuracy of about 71.8% for a query to a product (positive: positive) with the same drawing as the real product, and an accuracy of about 83.1% for a query to a different product (positive: negative). In the future, we plan to conduct a study to improve the matching accuracy between the real product image and the drawing image by combining the parameter optimization study with the proposed model and adding processes such as data purification.
Journal of the Korean Society of Marine Environment & Safety
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v.27
no.7
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pp.1038-1043
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2021
Guaranteed seafarer wage payment is essential to ensure a stable supply of seafarers. However, disputes over non-payment of wages to seafarers often occur. In this study, an automatic wage payment system was designed using a blockchain-based smart contract to resolve the problem of seafarers' wage arrears. The designed system consists of an information register, a matching processing unit, a review rating management unit, and wage remittance before deploying smart contracts. The matching process was designed to send an automatic notification to seafarers and shipowners if the sum of the weight of the four variables, namely wages, ship type/fishery, position, and license, exceeded a pre-defined threshold. In addition, a review rating management system, based on a combination of mean and median, was presented to serve as a medium to mutually fulfill the normal working conditions. The smart contract automatically fulfills the labor contract between the parties without an intermediary. This system will naturally resolve problems such as fraudulent advance payment to seafarers, embezzlement by unregistered employment agencies, overdue wages, and forgery of seafarers' books. If this system design is commercialized and institutionally activated, it is expected that stable wages will be guaranteed to seafarers, and in turn, the difficulties in human resources supply will be solved. We plan to test it in a local environment for further developing this system.
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