• The Bulletin of The Korean Astronomical Society
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• v.37 no.2
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• pp.195.1-195.1
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• 2012

Korea Aerospace Research Institute has developed an earth observation satellite whose primary mission objective is to provide high resolution electro optical earth images for Geographical Information Systems (GIS) establishment and the applications for environmental, agriculture and ocean monitoring. It was successfully launched into its mission orbit by using a commercial launch vehicle on 18th of May, 2012. This paper describes a series of launch activity at the launch site including its transportation to the launch site. Before conducting the launch site operation, satellite operation plane was prepared. Combining the satellite operation plan and launch vehicle activities, an integrated launch site operation plan and schedule have been drawn up. After arrival of the spacecraft at the launch site, post-ship check out has been conducted. And then it was fuel loaded and integrated with launch vehicle hardware. After completion of final electrical check out, count down procedure was executed. on 18th of May, it was launched into the space and was separated from the launch vehicle as planned. About 3 months of early operation and calibration/validation, now the satellite is conducting its normal mission.

• Magazine of korean Tunnelling and Underground Space Association
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• v.21 no.2
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• pp.117-129
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• 2019

Tunnelling in urban environments is very common nowadays as large cities are expanding and transportation demands require the use of the underground space for creating extra capacity. Inevitably, any such new construction may have significant effects on existing nearby infrastructure and therefore relevant assessment of structural integrity and soil-structure interaction is required. Foundation piles can be rather sensitive to nearby tunnel construction and therefore their response needs to be evaluated carefully. Although detailed three-dimensional continuum finite element analysis can provide a wealth of information about this behaviour of piles, such analyses are generally very computationally demanding and may require a number of material and other model parameters to be properly calibrated. Therefore, relevant simplified approaches are used to provide a practical way for such an assessment. This paper presents a simple method where the pile is modelled with beam finite elements, pile-soil interaction is modelled with soil springs and tunnelling-induced displacements are introduced as an input boundary condition at the end of the soil springs. The performance of this approach is assessed through some examples of applications.

• Electronics and Telecommunications Trends
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• v.38 no.5
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• pp.90-99
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• 2023

Recently, with the trend of information technology convergence and electrification, batteries are being widely used in fields such as industry, transportation, and specific applications. By 2030, the secondary battery market is expected to grow explosively by more than eight times compared with 2020 to $351.7 billion owing to the expanding adoption of electric vehicles. Depending on the electrochemical reactions in the electrode, a primary battery can only discharge through an irreversible reaction, while a secondary battery can be repeatedly charged and discharged using reversible reactions. According to the type of charge carrier ions, secondary batteries may be classified into those made of lithium, sodium, potassium, magnesium, and aluminum ions. We analyze the current status and technological issues of lithium-ion batteries, lithium-sulfur batteries, and solid-state batteries, which are representative examples of lithium secondary batteries. In addition, research trends in lithium secondary batteries are discussed.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.10
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• pp.1930-1936
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• 2007

Electronic Navigational Charts(ENCs) are official nautical charts which are equivalent to paper charts with supplementary information. Although their main purpose is to be used for the safe navigation of ships, they also contain much information on coasts and seas which may be interesting to ordinary people. However, there is no easy way to access them because of their specialized data format, access method and visualization. This paper proposes m implementation of SVG for the access and services of ENCs. SVG(Scalable Vector Graphic) makes it possible to make use of Vector graphics for map services in basic internet browsing environment. Implementation of SVG for ENC applications by this research is free of special server side GIS mapping system and client side extra technology. The Implementation of SVG for ENC Applications can be summarized as follows: Firstly, SVG provides spatial information to possess searching engine to embody SVG map. Secondly SVG can provide high-quality vector map graphics and interactive facility without special Internet GIS system. It makes it possible to use services with very low cost. Thirdly, SVG information service targeting on maritime transportation can be used as template, so it can be used dynamically any other purpose such as traffic management and vessel monitoring. Many good characteristics of SVG in mapping at computer screen and reusability of SVG document provide new era of visualization of marine geographic information.

• Journal of Convergence for Information Technology
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• v.8 no.1
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• pp.275-280
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• 2018

Companies are now rapidly entering the realm of the realtime economy named 'Now Economy'. 'Now Economy' features the measurement and assessment, accelerating speed of decision making about business. According to this, companies intend to change their disposition to be able to make quick and accurate decision by gathering informations rapidly and correctly, and then by processing that. Applications of ICT can be possible to change the new decision system of companies. In this thesis, the new decision system through amalgamations of BPMS, Mobile, Cloud Service, Hadoop, BI and AI is presented. It will be able to make decision quickly and accurately by collecting all information between the most efficiently managed process and formal and informal data inside company through this, and then by combining changes with situations outside company.

• Journal of Korean Society of Transportation
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• v.25 no.3
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• pp.29-43
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• 2007

An automobile black box can provide sufficient and accurate information for investigating the causes of vehicle accidents as well as preventing them in the future. The database of accident information from stored data in the black box can provide a variety of services to the general public when it is accessed in a reasonable manner. minimizing intrusion into drivers' privacy. Therefore, the black box could become the main intelligent automobile Part, with extensive benefits for all associated industries as well as government agencies and insurance companies. While the introduction and spread of the black box are imminent in Korea, this paper reviews technology and product trends of the black box. In particular, this paper presents findings on the investigation of black box-related patent applications and an in-depth study of core patents from several leading counties, including the United States. In addition, this paper describes trends of standardization and legislation in leading countries and presents methods of standardization with suggestions for some development topics related to black box technology.

• Journal of Korean Society of Transportation
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• v.29 no.2
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• pp.123-131
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• 2011

This study proposes a model for road surface temperature prediction on basis of the heat-energy balance equation between atmosphere and road surface. The overall model is consisted of two types of modules: 1) Canopy 1 is used to describe heat transfer between soil surface and atmosphere; and 2) Canopy 2 can reflect the characteristics of pavement type. Input data used in the model run is obtained from the Korea Meteorological For model validation, the observed and predicted surface temperature data are compared using data collected on MoonEui Bridge along CheongWon-Sangju Expressway, and the comparison is made on winter and other seasons separately. Analysis results show that average difference between two temperatures lies within ${\pm}2^{\circ}C$ which is considered as appropriate from a micrometeorology point of view. The model proposed in this paper can be adopted as a useful tool in practical applications for winter maintenance. This study being a fundamental research is anticipated to be a starting point for further development of robust surface road temperature prediction algorithms.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.10
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• pp.2321-2330
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• 2015

A variety of studies for indoor positioning are now being in progress due to the limit of GPS that becomes obsolete in the room. However, most of them are based on private wireless networks and the situation is difficult to commercialize them since they are expensive in terms of installation and maintenance costs, non-real-time, and not accurate. This paper applies the mark recognition algorithm used in existing augmented reality applications to the indoor vehicle positioning application. It installs floor marks on the ground, performs the perspective transformation on it and decodes the internal data of the mark and, as a result, it obtains an absolute coordinate. Through the geometric analysis, it obtains current position (relative coordinates) of a vehicle away from the mark and the heading direction of the vehicle. The experiment results show that when installing the marks every 5 meter, an error under about 30 cm occurred. In addition, it is also shown that the mark recognition rate is 43.2% of 20 frames per second at the vehicle speed of 20km/h. Thus, it is thought that this idea is commercially valuable.

• Journal of Information Technology Applications and Management
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• v.26 no.2
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• pp.41-60
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• 2019

O2O(Online-to-Offline) commerce, a kind of multi-channel, is used in various industries such as accommodation, food and beverage, transportation, and real estate. The O2O commerce, a channel of integrating online and offline, overcomes the limitations of traditional online commerce, where a customer made a purchase decision without direct experience. Despite this advantage of O2O, if the online-offline channel is not effectively linked, customer's complaints would occur due to service failure. This study, with regard to O2O service failure circumstances, intends to investigate the effect of customer's perceived justice on their emotional response, recovery satisfaction, followed by intention to repurchase. Perceived justice in this study is composed of distributive justice, interactional justice, and procedural justice. Furthermore, this study explores the moderation effect of O2O industry types in the relationship between perceived justice and emotion. An O2O industry type is classified into accommodation, food and beverage, and transportation. A hypothesized research model was empirically tested using a structural equation model. The current study collected 433 questionnaires and the target respondents are customers who have experienced service failure in O2O commerce. The empirical results showed that O2O commerce more effectively conducts service recovery strategy and causes positive customer response by integrating online and offline channel. One of the ultimate purposes of O2O service providers is to reduce the likelihood of service failures and to recover more quickly and efficiently by linking two channels rather than using a single channel. This study suggested that the O2O channel is effective in influencing customer satisfaction and loyalty by inducing customer's positive emotions in recovering service failure.

• Journal of the Korea Society of Computer and Information
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• v.28 no.10
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• pp.55-65
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• 2023

In this paper, we apply KeyBERT(Keyword extraction with Bidirectional Encoder Representations of Transformers) algorithm-driven topic extraction and topic frequency analysis to deep learning and reinforcement learning research to discover the rapidly changing trends in them. First, we crawled abstracts of research papers on deep learning and reinforcement learning, and temporally divided them into two groups. After pre-processing the crawled data, we extracted topics using KeyBERT algorithm, and then analyzed the extracted topics in terms of topic occurrence frequency. This analysis reveals that there are distinct trends in research work of all analyzed algorithms and applications, and we can clearly tell which topics are gaining more interest. The analysis also proves the effectiveness of the utilized topic extraction and topic frequency analysis in research trend analysis, and this trend analysis scheme is expected to be used for research trend analysis in other research fields. In addition, the analysis can provide insight into how deep learning will evolve in the near future, and provide guidance for select research topics and methodologies by informing researchers of research topics and methodologies which are recently attracting attention.