• International Commerce and Information Review
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• v.15 no.2
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• pp.109-128
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• 2013

With the growth of contents business, the expansion of domestic culture contents into global market became active. However, while some field such as game, music and movie have made fine results, education contents has failed to make significant success in global market. Therefore, this study intends to look into a case of Contents Management Institute(CMI), which spread G-Learning into La Ballona Elementary School located in LA. In this case, CMI successfully dealt with diverse difficulties to conduct a G-Learning class in the school and helped to increase students' achievement. Based on analyzing this case, this study suggests three reasons behind the success. First, by separating platform and learning contents in development process, CMI could save the cost in contents development and handle problems swiftly. Second, it could be possible to use human resources efficiently by constucting a support organization. Third, by sharing information and doing persuasion CMI could lead to chain persuasion process among local decision makers.

• The Journal of Pediatrics of Korean Medicine
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• v.15 no.1
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• pp.77-104
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• 2001

The effects of the oriental herbal medicine Saenghyetang(SHT, 生慧湯), which consists of Rehmanniae Radix (熟地黃 九蒸: was made by 9th steam) 40g, Corni Fructus(山茱黃) 16g, Polygalae Radix(遠志) 8g, Zizyphi Spinosae Semen(酸棗仁) 2g, Biotae Semen(柏子仁 去油: oil ingredient was removed) 20g, Poria Cocos(茯笭) 12g, Ginseng Radix(人蔘) 12g, Acori Graminei Rhizoma(石菖蒲) 2g, Sinapis Semen(白芥子) 8g, on learning ability and memory were investigated. Hot water extract(HWE) and ethanol extract(EE) from SHT were used for the studies. Learning ability and memory are related to modifications of synaptic strength among neurons that interactive. Enhanced synaptic coincidence detection leads to improved learning ability and memory. If the NMDA receptor, a synaptic coincidence detector, acts as a graded switch for memory formations, enhanced signal detection by NMDA receptors should enhance learning ability and memory. It was shown that NR2B was increased in the forebrains of oriental medicine-administrated mice, leading to enhanced activation of NMDA receptors and facilitating synaptic potentiation in response to stimulation at 10-100 Hz. These HWE-SHT treated mice exhibited that superior ability in learning and memory when performing various behavioral tasks, showing that NR2B is enhanced by HWE-SHT treatment and also is critical in gating the age-dependent threshold for plasticity and memory formation. NMDA receptor-dependent modifications, which were mediated in part by HWE administration, of synaptic efficacy, therefore, represent a mechanism for associative learning ability and memory. Results suggest that oriental medical enhancement of NR2B contributes to increase intelligence and memory in mammals On the other hand, to examine the effects of EE-SHT on the learning ability and memory in experimental mice, EE-SHT was tested on passive and active avoidance responses. The EE-SHT ameliorated the memory retrieval deficit induced by ethanol in mice, but not other memory impairments. EE-SHT(10, 20mg/100 g, p.o.) did not affect the passive avoidance responses of normal mice in the step through and step down tests, the conditioned and unconditioned avoidance responses of normal mice in the shuttle box, lever press performance tests and the ambulatory activity of normal mice in a normal condition. However, EE-SHT at 20 mg/kg significantly decrease the spontaneous motor activity during the shuttle box test, and also to extend the sleeping time induced by pentobarbital in mice. These results suggest that SHT has an ameliorating effect on memory retrieval impairments and a weak tranquilizing action.

• Journal of Korea Game Society
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• v.12 no.2
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• pp.43-51
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• 2012

The purpose of this study is to find out whether G-learning method can raise students' academic motivation of the mathematics in elementary school. The subjects were 687 students in the same school. They were divided into two groups, control group and experimental group. Written tests were taken before and after the semester to evaluate the students' motivation of the mathematics. According to the results, the participation in G-learning program improved their academic achievements of mathematics. Experimental group showed statistically significant improvement in intrinsic motivation. On the contrary, control group showed statistically significant improvement in extrinsic motivation. This means that G-learning method make students study mathematics on their own initiative.

• Electronics and Telecommunications Trends
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• v.35 no.5
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• pp.14-29
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• 2020

The 6G mobile communication system will become a backbone infrastructure around 2030 for the future digital world by providing distinctive services such as five-sense holograms, ultra-high reliability/low-latency, ultra-high-precision positioning, ultra-massive connectivity, and gigabit-per-second data rate for aerial and maritime terminals. The recent remarkable advances in machine learning (ML) technology have recognized its efficiency in wireless networking fields such as resource management and cell-configuration optimization. Further innovation in ML is expected to play an important role in solving new problems arising from 6G network management and service delivery. In contrast, an approach to apply ML to a physical-layer (PHY) target tackles the basic problems in radio links, such as overcoming signal distortion and interference. This paper reviews the methodologies of ML-based PHY, relevant industrial trends, and candiate technologies, including future research directions and standardization impacts.

• International Journal of Computer Science & Network Security
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• v.24 no.1
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• pp.226-234
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• 2024

The frequent handover problem and playing ping-pong effects in 5G (5th Generation) ultra-dense networking cannot be effectively resolved by the conventional handover decision methods, which rely on the handover thresholds and measurement reports. For instance, millimetre-wave LANs, broadband remote association techniques, and 5G/6G organizations are instances of group of people yet to come frameworks that request greater security, lower idleness, and dependable principles and correspondence limit. One of the critical parts of 5G and 6G innovation is believed to be successful blockage the board. With further developed help quality, it empowers administrator to run many systems administration recreations on a solitary association. To guarantee load adjusting, forestall network cut disappointment, and give substitute cuts in case of blockage or cut frustration, a modern pursuing choices framework to deal with showing up network information is require. Our goal is to balance the strain on BSs while optimizing the value of the information that is transferred from satellites to BSs. Nevertheless, due to their irregular flight characteristic, some satellites frequently cannot establish a connection with Base Stations (BSs), which further complicates the joint satellite-BS connection and channel allocation. SF redistribution techniques based on Deep Reinforcement Learning (DRL) have been devised, taking into account the randomness of the data received by the terminal. In order to predict the best capacity improvements in the wireless instruments of 5G and 6G IoT networks, a hybrid algorithm for deep learning is being used in this study. To control the level of congestion within a 5G/6G network, the suggested approach is put into effect to a training set. With 0.933 accuracy and 0.067 miss rate, the suggested method produced encouraging results.

• The Korean Journal of Emergency Medical Services
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• v.17 no.2
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• pp.77-87
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• 2013

Purpose : The purpose of this study was to develop a scenario and to evaluate the students by simulation-based learning of acute abdominal pain case in an emergency unit. The expert group of simulation developed the scenario based on actual abdominal pain by medical treatment records. Methods : Scenario was developed to evaluate the simMan3G simulation-based learning. The scenario was used in 2013 with ten groups of fourth grade 50 nursing students who voluntarily participated in the simulation class. Results : The nursing students were able to express nursing knowledge, learning attitude and self-efficacy. The simulation-based scenario proved to be very effective to students' skill training. The performance of nursing practice through simulation class made the nursing students more confident with patient care. Conclusion : Simulation-based learning was found to be the most effective curriculum to the nursing students and made the students satisfied and confident. So the simulation-based learning would be helpful to other students including paramedic students and medical school students.

• Journal of the Korea Convergence Society
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• v.10 no.7
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• pp.39-45
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• 2019

The aim of this research is to find out how convergent operation of the learning coaching and compensation system affects the academic self-efficiency and learning performance of university students. In the second semester, a compensation system was prepared based on learning coaching and learning outcomes, made a notice in advance, and conducted a survey before and after operation to measure the academic self-efficacy. In addition, the MLST-II Learning Strategy Diagnosis Examination was conducted on G university students to diagnose the learning tendency. As a result, although G University students felt a reluctance by coaching the learning community and expected negative results during the course of participation in the learning community due to low motivation and low expectation of results, they showed a significant improvement in academic self-efficiency and learning outcomes. Therefore, even students with negative learning tendency will need to consider how to operate these programs in the educational field, as the expert's learning coaching and compensation systems produce positive results for students' academic self-efficiency and learning outcomes rather than leaving them to autonomy.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.05a
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• pp.621-625
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• 2010

Currently most of the educational content to learners to provide more learning opportunities despite the inevitable in terms of its content and format have not only due to the limitations and problems, this alternative to the creation of a new generation of educational content, research is required urgently. In this paper, G-learning content, online games and through the analysis of the type and characteristics is to overcome this problem.

• Electronics and Telecommunications Trends
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• v.37 no.4
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• pp.60-69
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• 2022

So far, artificial intelligence (AI)/machine learning (ML) has produced impressive results in speech recognition, computer vision, and natural language processing. AI/ML has recently begun to show promise as a viable means for improving the performance of 5G mobile telecommunication systems. This paper investigates standardization activities in 3GPP and O-RAN Alliance regarding AI/ML applications on mobile telecommunication system. Future trends in AI/ML technologies are also summarized. As an overarching technology in 6G, there appears to be no doubt that AI/ML could contribute to every part of mobile systems, including core, RAN, and air-interface, in terms of performance enhancement, automation, cost reduction, and energy consumption reduction.

• Journal of the Korean Society for Library and Information Science
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• v.50 no.1
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• pp.261-284
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• 2016

Presidential archives have higher historical value than other public documentaries. It is a reliable documentary reflecting aspects of contemporary life and has high value and availability in the education field. This study suggests how to intensify the role as an intelligence service of presidential archives and how to develop the utilized-Presidential Archives mobile education contents in G-learning environments to lead the positive awareness on Presidential archives. After suggesting the 7 levels methods about the development of mobile education contents using presidential archives in G-learning environments, This study shows the case of the applied educational contents on the subject of $5^{th}$ grade at the elementary school. 7 levels methods include pre-planning, pre-design, selecting presidential records, presidential records story-telling, making the storyboard, implementing a game, sharing and assess.