• Journal of Ocean Engineering and Technology
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• v.33 no.3
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• pp.205-213
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• 2019

Recently, because of the global recession of the offshore plant industry and low-cost orders, there has been increasing interest in strengthening the competitiveness of domestic companies for the design and production technologies of offshore plants. However, in the offshore plant design field, the Plant Design Management System (PDMS), which is a 3D CAD program for plant layout developed by AVEVA Marine, is already commonly used as offshore plant design software and widely used in large domestic shipyards and cooperative design companies. Under this background, we have been thinking about ways to design better with the existing software. In this study, we developed a parametric design program to maximize the efficiency and reduce the working time for offshore plant electrical outfit production design based on the Programmable Macro Language (PML) of PDMS. We also examined its performance. By applying the developed program to the offshore plant module selected as an application example, it was confirmed that a 50% improvement in the work efficiency of cable tray design could be obtained compared with the existing method, with work efficiency improvements of 80% or more in other field design work.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2007.11a
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• pp.322-326
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• 2007

Recently, as construction projects are getting bigger and more complex, the number of participants has been tremendously increased. According to the current trend, the necessity of collaboration design management controlling communication and information exchange among many participants has came up. So this study considers the roles and tasks of each participant and informations that occur in each design stage, and looks into the present status of collaboration in design management of domestic design companies. Finally, the function of collaboration system is drove. It supports tasks of design participants, such as input design outcome, decision making among concerned people and solution of design change and interference.

• Journal of Digital Contents Society
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• v.1 no.1
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• pp.77-88
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• 2000

Leading educational paradigm based on Constructivism drives for many changes in the field of education. It causes the shift from instructor-based to learner-based learning, and cooperative teaming amongst the learners. Multi User Game (MUG) which is a network-based cooperative game is popular among many college students. MUG is known to provide positive and creative activities encouraging learners to participate, reform and produce new knowledge and skills. Thus, it has potential as an effective learning tool. In this study, however, we have designed a prototype of Cooperative MUG Game for elementary students to learn within networked environment to play while learning new knowledge and skills. The elementary students will interact with the other students through chatting while playing MUG.

• Child Health Nursing Research
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• v.23 no.1
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• pp.48-60
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• 2017

Purpose: This study was conducted to develop and test effects of a child health management program based on cooperative learning for mothers of preschool children. Methods: For this quasi-experimental study, a nonequivalent control group pretest-posttest design was used. Outcome measures were level of child health management self-efficacy, child health management practices, child's health behavior. Participants were 55 mothers (experimental group 28, control group 27). The program was composed of 6 categories of home health management for preschool children, and provided for three 120-minute sessions. Data were collected from September to October, 2015, at 3 times: baseline, 3 and 6 weeks after beginning the intervention. Data were analyzed using SPSS/WIN 21.0 program. Results: After 3 and 6 weeks, there were significant differences between the two groups in child health management self-efficacy (F=18.33, p<.001), child health management practices (F=8.91, p<.001), and child's health behavior (F=9.91, p<.001). Conclusion: Study findings indicate that this child health management program based on cooperative learning is effective and can be recommended as an intervention for mothers of preschool children. It will contribute to enhanced child health management self-efficacy and health management practices and improved child's health behavior.

• Journal of Digital Contents Society
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• v.19 no.5
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• pp.853-860
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• 2018

The purpose of this study is to analyze the effectiveness of cooperative thinking and communication ability through gamified VR contents. For the experiment, we designed the Forum VR content using gamification approach and validated its effectiveness with a survey tool. The experiment was answered after 63 elementary school students played the Forum VR content. According to the survey results, Forum VR content has positive effects on the development of collaborative spirit and communication skills of elementary school students. Based on the results of this study, it is necessary to study the systematic and technical measures to spread VR contents at educational sites, and to differentiate them according to the characteristics of the curriculum for connecting various educational topics and VR contents.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.10A
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• pp.752-759
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• 2009

Cooperative diversity is an effective technique to combat multi-path fading. When this technique is applied to energy-constrained wireless sensor networks, it is a key issue to design appropriate relay selection and power allocation strategies. In this paper, we proposed a new multi-relay selection and power allocation algorithm to maximize network lifetime. The algorithm are composed of two relay selection stages, where the channel condition and residual power of each node were considered in multi-relay selection and the power is fairly allocated proportional to the residual power, satisfies the required SNR at destination and minimizes the total transmit power. In this paper, proposed algorithm is based on AF (amplify and forward) model. We evaluated the proposed algorithm by using extensive simulation and simulation results show that proposed algorithm obtains much longer network lifetime than the conventional algorithm.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38B no.9
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• pp.765-774
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• 2013

In this paper, we present a cooperative compressed spectrum sensing scheme for correlated signals in decentralized wideband cognitive radio networks. Compressed sensing is a signal processing technique that can recover signals which are sampled below the Nyquist rate with high probability, and can solve the necessity of high-speed analog-to-digital converter problem for wideband spectrum sensing. In compressed sensing, one of the main issues is to design recovery algorithms which accurately recover original signals from compressed signals. In this paper, in order to achieve high recovery performance, we consider the multiple measurement vector model which has a sequence of compressed signals, and propose a cooperative sparse Bayesian recovery algorithm which models the temporal correlation of the input signals.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.12
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• pp.1500-1505
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• 2019

Currently, as part of the ICT Smart City, the company is building C-ITS(Cooperative-Intelligent Transport Systems) for solving urban traffic problems. In order to realize autonomous driving service with C-ITS, the role of advanced road infrastructure is important. In addition to the study of mid- to long-term C-ITS and autonomous driving services, it is necessary to present more realistic solutions for road traffic safety in the short term. Therefore, in this paper, we propose a highway accident detection alarm system that can detect and analyze traffic flow and risk information, which are essential information of C-ITS, based on IoT guard rail and provide immediate alarm and remote control. Intelligent IoT guard rail is expected to be used as an intelligent advanced road infrastructure that provides data at actual road sites that are required by C-ITS and self-driving services in the long term.

• Journal of Korea Trade
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• v.24 no.1
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• pp.146-170
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• 2020

Purpose - This paper addresses the concepts of FDI-Trade-Growth nexus in Myanmar's economy and empirically investigates the interrelationships of trade, investment and economic growth to reveal the growth model of Myanmar's economy. Additionally, this paper also addresses the cooperative strategies between Myanmar and South Korea through a case study related to South Korea's economic growth. Design/methodology - Our empirical model considers the interrelationship among FDI, trade, growth, labor force and inflation in Myanmar. This study employs ARDL (Autoregressive Distributed Lag) to conduct an analysis of the FDI-Trade-Growth relationships using the time series data from 1970 to 2016 and a conducted case study of South Korea provided for practical implication on cooperative strategies between Myanmar and Korea. Findings - Export equation was chosen through the diagnostic tests. Our main findings can be summarized as follows: Export in Myanmar is positively influenced by labor force, FDI, capital formation and negatively impacted by import and instable inflation rate in the long run. In the short run, GDP and import positively influence export. The Granger causality test proves that Myanmar is an FDI/labor force-led Growth economy, where FDI and labor force are main drivers of export followed by GDP in Myanmar. The case study of South Korea provided that Korea's tax and credit system for promoting export-led FDI industries and cooperative units for joint ventures between Korea and Myanmar in export-led FDI industries are recommended. Originality/value - No study has yet to be conducted on the interrelationships of macroeconomic factors from the perspectives of FDI-Trade-Growth Nexus in Myanmar under the assumption of labor force and inflation rate as fundamental conditions. The current study also covered a relatively longer period of time series data from 1970 to 2016. This paper also conducts a case study of South Korea's experience in order to evaluate the findings and provide better policy implications.

• Journal of the Korea Society of Computer and Information
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• v.29 no.1
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• pp.11-19
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• 2024

Multi-agent systems can be utilized in various real-world cooperative environments such as battlefield engagements and unmanned transport vehicles. In the context of battlefield engagements, where dense reward design faces challenges due to limited domain knowledge, it is crucial to consider situations that are learned through explicit sparse rewards. This paper explores the collaborative potential among allied agents in a battlefield scenario. Utilizing the Multi-Robot Warehouse Environment(RWARE) as a sparse reward environment, we define analogous problems and establish evaluation criteria. Constructing a learning environment with the QMIX algorithm from the reinforcement learning library Ray RLlib, we enhance the Agent Network of QMIX and integrate Random Network Distillation(RND). This enables the extraction of patterns and temporal features from partial observations of agents, confirming the potential for improving the acquisition of sparse reward experiences through intrinsic rewards.