• Proceedings of the KSRS Conference
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• v.1
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• pp.155-155
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• 2006

• Review of Korea Contents Association
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• v.12 no.4
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• pp.39-46
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• 2014

• Proceedings of the Korea Society of Environmental Toocicology Conference
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• 2004.11a
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• pp.98-98
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• 2004

• Korean Journal of Fisheries and Aquatic Sciences
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• v.32 no.6
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• pp.803-808
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• 1999

Trend of sea level change has been analysed by using the tidal data gathered at the 12 tide stations along the coast of Korean peninsula. Analysis and prediction of the sea level change were performed by Principal Component Analysis (PCA). For the period of 20 years from 1976 to 1995, the trend generally shows a rising pattern such as 0.22 cm/yr, 0.29 cm/yr, and 0.59 cm/yr along the eastern, southern, and western coast of Korea, respectively. On the average the sea level around the Korean peninsula seems to be rising at a rate of 0.37 cm/yr. Adopting the average rate to the sea level prediction model proposed by EPA (Titus and Narrayanan, 1995), the sea level may be approximately 50$\~$60 cm higher than the present sea level by the end of the next century.

• Journal of Positioning, Navigation, and Timing
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• v.12 no.3
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• pp.281-288
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• 2023

The International Maritime Organization (IMO) states that the recommended horizontal accuracy for coastal and offshore areas is 10 m, the Alert Limit (AL) is 25 m, the time to alert is 10 seconds, and the integrity risk (IR) is 10^-5 per three hours. For operations requiring high accuracy, such as tugs and pushers, icebreakers, and automated docking, the IMO dictates that a high level of positioning accuracy of less than one meter and a protection level of 0.25 meters (for automated docking) to 2.5 meters should be achieved. In this paper, we analyze a method of calculating the user-side protection level of the centimeter-level precision Global Navigation Satellite System (GNSS) that is being studied to provide augmentation information for the precision Positioning, Navigation and Timing (PNT) service. In addition, we analyze standardized integrity forms based on RTCM SC-134 to propose an integrity information form and generate a centimeter-level precise PNT service plan.

• Journal of Environmental Impact Assessment
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• v.23 no.2
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• pp.119-136
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• 2014

This work aims to select the potentially vulnerable plant species against climate change at alpine and subalpine belts of Mts. Sorak, Jiri, and Halla, from central, southern, southern insular high mountains of the Korean Peninsula, respectively. The selection of global warming related vulnerable plants were performed by adapting various criteria, such as flora, endemicity, rarity, floristically specific and valuable species, species composition at mountain summits, horizontal and vertical ranges of individual species, and their distributional pattern in the Korean Peninsula. Line and quadrat field surveys along the major trails from all directions at height above 1,500 meters above sea level of Mts, Sorak, Jiri and Halla were conducted each year during spring, summer, and autumn from 2010 to 2011. Based upon above mentioned eight criteria, high level of climate change related potentially vulnerable arboral plants, such as Rhododendron aureum, Taxus caespitosa, Pinus pumila, Oplopanax elatus, Vaccinium uliginosum, and Thuja koraiensis are noticed from at subalpine belt of Mt. Sorak. Species of Abies koreana, Rhododendron tschonoskii, Oplopanax elatus, Taxus cuspidata, Picea jezoensis, and Juniperus chinensis var. sargentii belong to climate change concerned vulnerable species at subalpine belt of Mt. Jiri. High level of climate change related species vulnerability is found at alpine and subalpine belts of Mt. Halla from Diapensia lapponica var. obovata, Salix blinii, Empetrum nigrum var. japonicum, Vaccinium uliginosum, Juniperus chinensis var. sargentii, Taxus cuspidata, Rhamnus taquetii, Abies koreana, Hugeria japonica, Prunus buergeriana, and Berberis amurensis var. quelpartensis. Countermeasures to save the global warming vulnerable plants in situ are required.

• 한국태양에너지학회:학술대회논문집
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• 2011.11a
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• pp.376-382
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• 2011

Since the Industrial Revolution has caused global change by using of a fossil fuel, a reckless and growth-oriented development. A global mean temperature since 19th century has climbed up 0.4~$0.8^{\circ}C$. Our country, afterwards, global warming has increased the temperature every season. After The Kyoto Protocol regarding a greenhouse gas reduction goal took effect, be situations that decrease of greenhouse gas was acutely required. Therefore, interest of utilization of the new & renewable energy is increasing everyday. In advanced research, we shows that at first divided a country to nine range by natural geography, and second executed Meteorological data analysis of recent 30 years considering level of significance by nine range. The results of advanced research are that the similarities are low because there are the regions that temperature deviation of the similar climate regions is large in winter season, and there are not characteristics of clear discrimination of temperature. This study shows that at first divided a country to six range by temperature range, and second executed Meteorological data analysis of recent 30 years considering level of significance by six range. The results of this study are that in heating load calculation of building, periodic temperature data management is required because facility capacity and cost are affected greatly by outdoor temperature, and temperature by climate range needs consideration of pertinent area. Ground temperature was assumed of the weather in region, the ground and soil. Lastly, we were able to know that establishment of climate region by temperature range can be useful policy making and plans of design of the horticultural facilities and architectures.

• Journal of the Korea Convergence Society
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• v.9 no.11
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• pp.23-28
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• 2018

Recent approaches to Relation Extraction methods mostly tend to be limited to mention level relation extractions. These types of methods, while featuring high performances, can only extract relations limited to a single sentence or so. The inability to extract these kinds of data is a terrible amount of information loss. To tackle this problem this paper presents an Augmented External Memory Neural Network model to enable Global Relation Extraction. the proposed model's Global relation extraction is done by first gathering and analyzing the mention level relation extraction by the Augmented External Memory. Additionally the proposed model shows high level of performances in korean due to the fact it can take the often omitted subjects and objectives into consideration.

• Korea Trade Review
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• v.41 no.4
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• pp.245-267
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• 2016

The purpose of this study is to investigate the current situation of foreign direct investment of Korea based on GVC (Global Value Chain) perspective and to presentthe policy direction. From GVC perspective which comprehensively describes the world's increasing FDI and imports/exports phenomenon since the 2000s, the level of internationalization of Korea is excessively concentrated in trade. Therefore, the expansion of foreign investment (OFDI, IFDI) is urgently needed. The results of regression analysis using data from 50 countries and the international comparison of major countries including Germany, Switzerland, Singapore, etc, showed that the level of foreign direct investment of Korea is 20 to 30 years behind compared to those major countries. Therefore, exploiting the benefits of trade and foreign direct investment at the same time is needed to increase the level of GDP per capita.