• The Korea Journal of Herbology
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• v.24 no.3
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• pp.69-77
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• 2009

Objectives : This study was designed to investigate the effects of horse bone powder extract on the growth of longitudinal bone in adolescent male rats. Methods： Longitudinal bone growth was measured by fluorescent microscopy. To examine the effects on the growth plate metabolism, the total height of growth plate, the induction of local insulin-like growth factor-1 (IGF-1), and bone morphogenetic protein-2 (BMP-2) were measured. Results： Horse bone powder extract enhanced longitudinal bone growth and total height of the growth plate. Also, it promoted the induction of local IGF-1 and BMP-2 of the growth plate. Conclusions： This study shows that the horse bone powder extract effects longitudinal bone growth in adolescent rats and might be used for both stunted adolescents and inherent growth failure patients.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.20
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• pp.100-106
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• 1975

Germinating ability of green seed in maturing period was investigated to develop the technics on generation shortening. Rapeseed did not germinate until 40 days after flowering (=DAF) in green seed and 50 DAF in dried seed. Effective germination to be utilized for generation shortening came on 55 DAF for dried seed by heating and on 75 DAF for green seed. The periodic time of seed dormancy in maturing period had two cycles and rest period was considered that it was different according to the ecological types of early, middle and late maturity.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.5D
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• pp.747-754
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• 2006

Real-time traffic information disseminated through VMS is known to have effects not only on driver to plan a route choice, detour the congestion, and cope with incident, but also on VMS operator to manage the traffic volume indirectly. But, the dissemination of traffic information is operated in the side of provider, not of user. Importance-Performance analysis (IPA) offers a simple, useful method for simultaneously considering both the importance and performance dimensions when evaluating or improving strategy. This technique has been successfully used in a variety of settings to define priorities and guide resource optimization decisions. This study uses IPA to evaluate traffic information strategies through VMS to make resource improvement recommendations. It gained 760 samples by field surveys, which are conducted in Korean Thanksgiving Day, weekday and weekend at the service areas of expressways. The results indicate that the motivations in quadrant I (concentrate here) are dissemination of exactly information and quick transmission, while distance of VMS, most drivers are not satisfied with that is located in quadrant III (low priority).

• Journal of The Geomorphological Association of Korea
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• v.18 no.3
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• pp.121-129
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• 2011

This work is to elucidate in typological aspect main geomorphological processes in the morphogenetic system of Mongolian steppe zone. Its morphogenesis manifest interaction of intense gelifraction and active erosion either by slope run-off or by wind. Intense gelifraction owes both to cold temperature regime with great amplitude, and to moisture associated with snow fall. Erosion of material produced by gelifraction is assured by surface run-off of summer rainfall and spring eolian activities. The geomorphological landscape sculptured by such morphogenetic processes manifest low-relief smooth slopes. This feature reveals that intense gelifraction keeps abreast with removal of weathering product by surface run-off and wind.

• Korean Journal of Remote Sensing
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• v.39 no.5_1
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• pp.507-519
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• 2023

Multi-temporal optical images have been utilized for time-series monitoring of croplands. However, the presence of clouds imposes limitations on image availability, often requiring a cloud removal procedure. This study assesses the applicability of various machine learning algorithms for effective cloud removal in optical imagery. We conducted comparative experiments by focusing on two key variables that significantly influence the predictive performance of machine learning algorithms: (1) land-cover types of training data and (2) temporal variability of land-cover types. Three machine learning algorithms, including Gaussian process regression (GPR), support vector machine (SVM), and random forest (RF), were employed for the experiments using simulated cloudy images in paddy fields of Gunsan. GPR and SVM exhibited superior prediction accuracy when the training data had the same land-cover types as the cloud region, and GPR showed the best stability with respect to sampling fluctuations. In addition, RF was the least affected by the land-cover types and temporal variations of training data. These results indicate that GPR is recommended when the land-cover type and spectral characteristics of the training data are the same as those of the cloud region. On the other hand, RF should be applied when it is difficult to obtain training data with the same land-cover types as the cloud region. Therefore, the land-cover types in cloud areas should be taken into account for extracting informative training data along with selecting the optimal machine learning algorithm.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.883-888
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• 2023

Since data centers are places that provide IT services 24 hours a day, 365 days a year, data center power consumption is expected to increase to approximately 10% by 2030, and the introduction of high-density IT equipment will gradually increase. In order to ensure the stable operation of IT equipment, various types of research are required to conserve energy in cooling and improve energy management. This study proposes the following process for energy saving in data centers. We conducted CFD modeling of the data center, proposed an artificial intelligence-based thermal environment prediction model, compared actual measured data, the predicted model, and the CFD results, and finally evaluated the data center's thermal management performance. It can be seen that the predicted values of RCI, RTI, and PUE are also similar according to the normalization used in the normalization method. Therefore, it is judged that the algorithm proposed in this study can be applied and provided as a thermal environment prediction model applied to data centers.

• Journal of Wind Energy
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• v.15 no.1
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• pp.91-102
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• 2024

Rapid progress is being made in foundational technology research and engineering for the construction of floating offshore wind farms. There is active development of technology for detachable mooring systems, which have strengths in addressing maintenance issues that arise in floating offshore wind farms and enhance their economic viability. Conventional detachable mooring systems use Kenter links inserted into the middle of mooring chains, which require excessive time for retrieval by Anchor Handling Tug Supply (AHTS) vessels during detachment operations. Moreover, these operations pose risks of link damage and accidents. Therefore, there is a demand for the development of a new concept of detachable mooring systems. The proposed detachable mooring system in this study simultaneously integrates a fairlead chain stoppers (FCS) and submersible mooring pulleys (SMP), which enables all operations to be conducted on the AHTS vessel without underwater tasks. This study detailed the design and safety evaluation of the SMP, a core component of the detachable mooring system, based on the minimum breaking load (MBL) of selected mooring lines according to the capacity of the floating platform. It referenced international codes (AISC Specification for Structural Steel Buildings D5, Pin-Connected Members) for design verification and performed finite element analysis to evaluate the strength of major components in installation and operation scenarios. Additionally, procedures and techniques for evaluating the structural strength of components under uncertain boundary conditions were proposed.

• Journal of the Korean Society of Radiology
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• v.84 no.1
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• pp.127-149
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• 2023

It is important to distinguish uterine lesions from other lesions occurring in the pelvic cavity for the proper management. The primary radiological evaluation of uterine lesions is performed using transvaginal ultrasonography, and if the lesion is too large or shows atypical benign imaging findings, magnetic resonance imaging should be performed. Analyzing radiological findings of uterine lesions through a pattern recognition approach can help establish the accurate diagnosis and treatment plan. In this pictorial assay, we describe imaging characteristics of various lesions arising from the uterus and evaluate them based on the pattern recognition approach.

• Journal of Space Technology and Applications
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• v.4 no.2
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• pp.169-183
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• 2024

Korea Astronomy and Space Science Institute (KASI) developed the Geochang satellite laser ranging (SLR) system for the scientific research on the space geodesy as well as for the national space missions including precise orbit determination and space surveillance. The operation system was developed based on the server-client communication structure, which controls the SLR subsystems, provides manual and automatic observation modes based on the observation algorithm, generates the range data between satellites and SLR stations, and carry out the post-processing to remove noises. In this study, we analyzed the requirements of operation system, and presented the development environments, the software structure and the observation algorithm, for the server-client communications. We also obtained laser ranging data for the ground target and the space geodetic satellite, and then analyzed the ranging precision between the Geochang SLR station and the International Laser Ranging Service (ILRS) network stations, in order to verify the operation system.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.4
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• pp.21-28
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• 2024

Nowadays, based on the 4th Industrial Revolution, by using the CHATGPT function and 3D virtual reality technology, anyone can easily open a virtual environment WEB-based, smart tourism OPEN source and travel destination without having to directly visit the travel location in the real world. Using the API function, it provides the convenience of virtual tourism. However, this function does not work if the travel transportation system is suddenly changed due to sudden bad weather, travel operation information cannot be checked in real time, and due to a lack of flight cancellation information and passenger ship operation information, it cannot be used until the plane or ferry departs normally. A very inconvenient problem arises where you have to wait a long time in the waiting room. Therefore, in this paper, in order to solve this problem, automatic duty-free product information and automatic product payment functions were added even when passenger ship cancellations and operation information suddenly occur due to bad weather and multiple products are purchased during the trip. In addition, the computer simulation experiment was conducted on a WEB basis so that anyone can conveniently travel smartly.