• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• v.2
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• pp.203-208
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• 2006

The main research conducted previously on GPS ionosphere in China is first introduced. Besides, the current investigations include as follows: (1) GPS-based spatial environmental, especially the ionosphere, monitoring, modeling and analysis, including ground/space-based GPS ionosphere electron density (IED) through occultation/tomography technologies with GPS data from global/regional network, development of a GNSS-based platform for imaging ionosphere and atmosphere (GPFIIA), and preliminary test results through performing the first 3D imaging for the IED over China, (2) The atmospheric and ionospheric modeling for GPS-based surveying, navigation and orbit determination, involving high precisely ionospheric TEC modeling for phase-based long/median range network RTK system for achieving CM-level real time positioning, next generation GNSS broadcast ionospheric time-delay algorithm required for higher correction accuracy, and orbit determination for Low-Earth-orbiter satellites using single frequency GPS receivers, and (3) Research products in applications for national significant projects: GPS-based ionospheric effects modeling for precise positioning and orbit determination applied to China's manned space-engineering, including spatial robot navigation and control and international space station intersection and docking required for related national significant projects.

• Journal of Internet Computing and Services
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• v.14 no.1
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• pp.41-52
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• 2013

Social Network Service(SNS) have become very popular during the past few years. Also SNS, an current communication platform, greatly contributes to transmit the information rapidly and strengthen a sense of community and fellowship in military service. however it has vulnerable factors. For example, invasion of privacy, exposure of personal information and military data. In this particular case, it is a deathblow to the military service. Military Social Network Service require to protect the military security threats and disclosure of defense secrets. For such reasons we need the secure SNS that protects from any attacks or vulnerable factors. We present classification of functional type and analysis the SNS architecture. The goal of this work is propose military SNS security functional requirements for practical use safely.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.8
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• pp.2814-2832
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• 2014

As information society matures to an even higher level and as information technology becomes a necessity to our everyday lives, the needs to develop, support and satisfy personal and social needs without the limitation of time, space, and location have become a vital point to everyday lives. Smartphone users are increasing at a staggering rate but the research on mobile-Learning model and the implementation of m-Learning scenario are still behind the needs of the users. Therefore, this paper focuses on the design of 'repeatable and short-spanned m-Learning model' to meet the needs of the learners who are on the go and on the move with their smartphones. Smartphone users frequently reach out for their phones but compare to the frequencies, the actual span of time they spend per use are relatively and surprisingly short. One way to understand this phenomenon is that the users tend to immediately replace their smartphones with laptops or desktops whenever they are available. A leaning model was needed to reflect this short and frequent use, a use that is solely based on the smartphone environment. This proposed learning model first defines this particular setting and implements the model to real smartphone users over an 8 week period. To understand whether different learning backgrounds can influence this model, different schools with online and offline learning channels participated in the experiment. User survey was conducted after the experiment to get a better understanding of the smartphone users. Pretest and posttest were conducted before and after the experiment and the data were validated and analyzed using SPSS version 18.0 for PC. Preliminary descriptive statistics, multiple regression and cross validation was conducted for the analysis. The results showed that the proposed English Listening and Comprehension Mobile Digital Textbook (ELCMDT) had a positive effect on the learners in general and was more effective for learners who were already experienced with online learning.

• Journal of Aerospace System Engineering
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• v.14 no.5
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• pp.83-90
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• 2020

Disasters are causing significant damage to the lives and property of our society and are recognized as social problems that need to be solved nationally and globally. The 4th industrial revolution technologies affecting society as a whole such as the Internet of Things(IoT), Artificial Intelligence(AI), Drones(Unmanned Aerial Vehicles), and Big Data are continuously absorbed into the disaster and safety industries as scientific and technological tools for solving social problems. Very soon, twenty-nine domestic UAV-related organizations/companies will complete the construction of a multicopter type small UAV integrated system ('17~'20) that can be operated at disaster and security sites. The current work considers and proposes the mid-to-long term R&D direction of disaster UAV as a strategic asset of the national disaster response system. First, the trends of disaster and safety industry and policy are analyzed. Subsequently, the development status and future plans of small UAV, securing shortage technology, and strengthening competitiveness are analyzed. Finally, step-by-step R&D direction of disaster UAV in terms of development strategy, specialized mission, platform, communication, and control and operation is proposed.

• Journal of Digital Convergence
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• v.16 no.4
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• pp.39-47
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• 2018

This paper aim to propose and suggest for government to reinvent and re-steering the policy on the 4th industrial revolution in Korea. To do it, this paper annalize the advanced country's policies and hard-data sets from many international research institutes. So this paper emphasized the concept and frame of socio-technical system approach by Geels. According to this approach, this paper can get a conclusion that Korea government has to focus on the roles to solve the big social dilemma with high-tech tools from the 4th industrial revolution. And this paper point out the necessary of increasing the diversity and multidisciplinary in 4th industrial revolution policy of Korean government. These findings of this paper recommend for Korea to redesigns the governance mechanism and legislation platform and to design the future readiness.

• Journal of Ginseng Research
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• v.31 no.1
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• pp.44-50
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• 2007

Ginseng powerfully tonifies the original Qi. Ginseng used for insomnia, palpitations with anxiety, restlessness from deficient Qi and blood and mental disorientation. In order to investigate whether Ginseng cerebral ischemia-induced neuronal and cognitive impairments, we examined the effect of Ginseng on ischemia-induced cell death in the hippocampus, and on the impaired learning and memory in the Morris water maze and passive avoidance in rats. Ginseng when administered to rat at a dose of 200 mg/kg i.p. water extracts to 0 minutes and 90 minutes after 4-VO, significantly neuroprotective effects by 86.4% in the hippocampus of treated rats. For behavior test, rats were administered Ginseng (200mg/kg p.o.) daily for two weeks, followed by their training to the tasks. Treatment with Ginseng produced a marked improvement in escape latency to find the platform in the Morris water maze. Ginseng reduced the ischemia-induced learning disability in the passive avoidance. Consistent with behavioral data, treatments with Ginseng reduced jschemia-induced cell death in the hippocampal CA1 area. Oxidative stress is a causal factor in the neuropathogenesis of ischemic-reperfusion injury. Oxidative stress was examined in a rat model of global brain ischemia. The effects of Ginseng on lipid peroxidation (inhibition of the production of malondialdehyde, MDA) in different regions of the rat brain were studied. Ferrous sulfate and ascorbic acid (FeAs) were used to induce lipid peroxidation. The antiperoxidative effect showed 48-72% protection from tissue damage as compared with untreated animals. These results showed that Ginseng have a protective effect against ischemia-induced neuronal loss and learning and memory damage.

• Journal of the Society of Disaster Information
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• v.17 no.4
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• pp.778-785
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• 2021

Purpose: The study is to analyze the current status of international clinical trial information services related to COVID-19 and to find out the impact of disclosing activities of clinical trial registration on the medical and pharmaceutical industry. Method: To achieve the purpose of the study, this study analyzed the current status of 780 registered clinical trials for COVID-19 during March of 2020 by using regression analysis. Result: The analysis of clinical trial research registration information showed and proved its usefulness for the development of related new drugs, treatments, vaccines, predictive and prognostic diagnostic kits and treatments related to the COVID-19 (Corona 19) in the world. Conclusion: The study concludes and urges all medical and pharmaceutical companies to register their trials on CRIS and recommends utilizing this registered data to develop advanced drug to benefits all patients related to COVID-19.

• Journal of The Korean Association of Information Education
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• v.26 no.1
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• pp.65-73
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• 2022

In this study, by using Entry text model learning, educational contents for artificial intelligence education of elementary school students are developed and applied to actual classes. Based on the elementary and secondary artificial intelligence content table, the achievement standards of practical software education and artificial intelligence education will be reconstructed.. Among text, images, and sounds capable of machine learning, "production of emotion recognition programs using text model learning" will be selected as the educational content, which can be easily understood while reducing data preparation time for elementary school students. Entry artificial intelligence is selected as an education platform to develop artificial intelligence education contents that create emotion recognition programs using text model learning and apply them to actual elementary school classes. Based on the contents of this study, As a result of class application, students showed positive responses and interest in the entry AI class. it is suggested that quantitative research on the effectiveness of classes for elementary school students is necessary as a follow-up study.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.6 no.2
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• pp.81-88
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• 2016

Machine-to-Machine (M2M) communication provides each component (machine) with access to Internet, evolving into the IoT technology. IoT is a trend where numbers of devices provide the communication service, using the Internet protocol. As spreading the concept of IoT(Internet of Things), various objects become home information sources. According to the wide spread of various devices, it is difficult to access data on the devices with unified manners. Under this environment, security is a critical element to create various types of application and service. In this paper propose the inter-device authentication and Centralized Remote Security Provisioning framework in Open M2M environment. The results of previous studies in this task is carried out by protecting it with the latest information on M2M / IoT and designed to provide the ultimate goal of future M2M / IoT optimized platform that can be integrated M2M / IoT service security and security model presents the information.

• Journal of Service Research and Studies
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• v.13 no.4
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• pp.191-205
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• 2023

Artificial Intelligence (AI), especially in the domain of text-generative services, has witnessed a significant surge, with forecasts indicating the AI-as-a-Service (AIaaS) market reaching a valuation of $55.0 Billion by 2028. This research set out to explore the quality dimensions characterizing synthetic text media software, with a focus on four key players in the industry: ChatGPT, Writesonic, Jasper, and Anyword. Drawing from a comprehensive dataset of over 4,000 reviews sourced from a software evaluation platform, the study employed the Latent Dirichlet Allocation (LDA) topic modeling technique using the Gensim library. This process resulted the data into 11 distinct topics. Subsequent analysis involved comparing these topics against established AI service quality dimensions, specifically AICSQ and AISAQUAL. Notably, the reviews predominantly emphasized dimensions like availability and efficiency, while others, such as anthropomorphism, which have been underscored in prior literature, were absent. This observation is attributed to the inherent nature of the reviews of AI services examined, which lean more towards semantic understanding rather than direct user interaction. The study acknowledges inherent limitations, mainly potential biases stemming from the singular review source and the specific nature of the reviewer demographic. Possible future research includes gauging the real-world implications of these quality dimensions on user satisfaction and to discuss deeper into how individual dimensions might impact overall ratings.