• Journal of Environmental Science International
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• v.22 no.10
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• pp.1305-1316
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• 2013

A long-term wind resource map was made to provide the key design data for the 2.5 GW Korean West-South Offshore Wind Project, and its reliability was validated. A one-way dynamic downscaling of the MERRA reanalysis meteorological data of the Yeongwang-Gochang offshore was carried out using WindSim, a Computational Fluid Dynamics based wind resource mapping software, to establish a 33-year time series wind resource map of 100 m x 100 m spatial resolution and 1-hour interval temporal resolution from 1979 to 2012. The simulated wind resource map was validated by comparison with wind measurement data from the HeMOSU offshore meteorological tower, the Wangdeungdo Island meteorological tower, and the Gochang transmission tower on the nearby coastline, and the uncertainty due to long-term variability was analyzed. The long-term variability of the wind power was investigated in inter-annual, monthly, and daily units while the short-term variability was examined as the pattern of the coefficient of variation in hourly units. The results showed that the inter-annual variability had a maximum wind index variance of 22.3% while the short-term variability, i.e., the annual standard deviation of the hourly average wind power, was $0.041{\pm}0.001$, indicating steady variability.

• Proceedings of the KIEE Conference
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• 2002.11c
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• pp.159-162
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• 2002

This paper presents a modified localization scheme of a mobile robot. When it navigates, the position error of a robot is increased and doesn't go to a goal point where the robot intends to go at the beginning. The objective of localization is to estimate the position of a robot precisely. Many algorithms were developed and still are being researched for localization of a mobile robot at present. Among them, a localization algorithm named continuous localization proposed by Schultz has some merits on real-time navigation and is easy to be implemented compared to other localization schemes. Continuous Localization (CL) is based on map-matching algorithm with global and local maps using only ultrasonic sensors for making grid maps. However, CL has some problems in the process of searching the best-scored-map, when it is applied to a mobile robot. We here propose fast and powerful map-matching algorithm for localization of a mobile robot by experiments.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.5
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• pp.1881-1903
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• 2015

With the fast-developing of mobile terminals, positioning techniques based on fingerprinting method draws attention from many researchers even world famous companies. To conquer some shortcomings of the existing fingerprinting systems and further improve its performance, we propose a radio map building and updating technique, which is able to customize the spatial and temporal dependency of radio maps. The method includes indoor propagation and penetration modeling and the analysis of human traffic. Based on the combination of Ray-Tracing Algorithm, Finite-Different Time-Domain and Rough Set Theory, the approach of indoor propagation modeling accurately represents the spatial dependency of the radio map. In terms of temporal dependency, we specifically study the factor of moving people in the interest area. With measurement and statistics, the factor of human traffic is introduced as the temporal updating component. We improve our existing indoor positioning system with the proposed building and updating method, and compare the localization accuracy. The results show that the enhanced system can conquer the influence caused by moving people, and maintain the confidence probability stable during week, which enhance the actual availability and robustness of fingerprinting-based indoor positioning system.

• International conference on construction engineering and project management
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• 2024.07a
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• pp.209-215
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• 2024

Many developed countries, including Korea, are rapidly aged owing to years of use. Infrastructures such as roads, water, and sewage are Social Overhead Capital (SOC), which provide convenience to the nation and support national economic growth. Thus, continuous maintenance and investment are required because infrastructure deterioration is directly related to social effects, such as quality of life and safety. In addition, because infrastructure maintenance costs a lot of the budget, it is necessary to appropriate criteria for budget allocation, given assessing the condition of infrastructure. This study developed an Infrastructure Maintenance Map (IMM) based on a Geographic Information System (GIS) for infrastructure maintenance budgets and investment priorities. The IMM uses maintenance information for roads, bridges, water, and sewage, obtained from Bridge Management System (BMS), Pavement Management System (PMS) and facility data in South Korea. The IMM can calculate deterioration levels and maintenance costs of infrastructure repair methods. Maintenance priorities are also evaluated based on Multi-Attribute Utility Theory using the deterioration level, economic feasibility, and effect of facilities. This study contributes to easy decision-making regarding infrastructure investment priorities and maintenance budgeting to the status of facility on the 3D map by IMM.

• CONCEPT AND COMMUNICATION
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• no.24
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• pp.83-112
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• 2019

This study aims to examine the basic ideas, utility, background, and methodological development of the semantic map model, and to validate some theoretical issues. The semantic map is a useful tool for visually representing cross-linguistic regularity or universality in the semantic structure of linguistic forms (e.g., morpheme, word, construction, etc.). To compare and contrast the meanings of different linguistic forms employing a semantic map, an internal structure (conceptual map) of a conceptual space is first constructed to characterize the interrelationship among etic concepts, then a semantic range (semantic map) of linguistic forms can be built upon this conceptual map to show the results of emic categorization. This methodology seeks to render outcomes concisely, and there are often questions about the quantitative sufficiency or qualitative reliability of data, as well as about configurational methods and the universal relevance of conceptual maps. Nevertheless, it is hard to deny the power and utility of the semantic map model in contrastive linguistics or in typological studies, since it originates from a long tradition of research into meaning, and it has an intuitive visual clarity. This study also considers the future use of semantic map models and network visualizations which will be based on vast linguistic resources, anticipating how valuable such tools will be for conceptual history research which explores the complex dynamic relationship between language and reality.

• Journal of the Korean Society of Food Science and Nutrition
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• v.28 no.6
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• pp.1304-1309
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• 1999

The respiratory characteristics and quality attributes of mature green mume fruits as influenced by modified atmosphere packaging(MAP) conditions during storage at 25oC for 8 days were investigated. The quality attributes of mume fruits were evaluated in terms of fresh weight loss, physiological injury and yellowing. The packaging materials used for MAP were low density polyethylene(LDPE) films with various different thicknesses. Yellowing and fresh weight loss of mume fruits were noticeably reduced by the packaging treatments with LDPE A and B. The physiological injury of the fruits during storage was found to be more severe in LDPE C than others. For LDPE A and B, the oxygen and carbon dioxide contents within the packages of Mume fruits maintained at the levels of 2~3% and 7~8%, respectively. With respect to visual quality, MAP prolonged the shelf life of the fruits much longer compared with the unsealed control. From the experimental results, it is suggested that the LDPE films with the gas trans mission rates of about 2,100 O2 ml/m2.day.atm and 6,700 CO2 ml/m2.day.atm would be proper for MAP of mature green mume fruits during storage at ambient temperature.

• Spatial Information Research
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• v.19 no.3
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• pp.73-81
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• 2011

A study about UFID for the management and administration of digital map has achieved much progress through the Korea National Geographic Information Institute. But it is ture that the content and process is too complicated to be applied. For overcoming this and to make harmonious management of the object based seamless digital map, we need to develop the method which has the unique feature identifier on the digital map for management and administration. So, we introduce OSID(Object-based Seamless digital map IDentifier) on the object based seamless digital map and apply OSID in the system to manage the digital map. This study is based on the OSID basic structure which is applied in object based seamless digital map and design the structure of OSID system to maintain and manage each feature of the object based seamless digital map.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.10 no.5
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• pp.20-30
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• 2007

Environmental Conservation Value Assessment Map (ECVAM) is the class map to divide the national land into conservation areas and development areas based on legal and ecological assessment criteria. It contributes to enhancements of the efficiency and the scientificity when framing a policy in various fields including the environment. However, it is impossible to understand the multiphase vegetation structure as data on judging the national forest class in ECVAM are restricted to areal information of Ecological Nature Status, Degree of Green Naturality and Forest Map. This point drops the reliability of ECVAM. Therefore we constructed vegetation information using LiDAR (Light Detection And Raging) technology. We generated Biomass Class Maps as final results of this study, to introduce the new forest assessment criterion in ECVAM that alternates or makes up for existing forest assessment criteria. And then, we compared these with Forest Map and Landsat TM NDVI image. As a result, biomass classes are generally higher than stand age classes and DBH classes of Vegetation Map, and lower than NDVI of Landsat TM image because of the difference of time on data construction. However distributions between these classes are mostly similar. Therefore we estimates that it is possible to apply the biomass item to the new forest assessment criterion of ECVAM. The introduction of the biomass in ECVAM makes it useful to detect the vegetation succession, to adjust the class of the changed zone since the production of Vegetation Map and to rectify the class error of Vegetation Map because variations on tree heights, forest area, gaps between trees, vegetation vitality and so on are acquired as interim findings in process of computing biomass.

• Proceedings of the IEEK Conference
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• 2005.11a
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• pp.549-552
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• 2005

This paper presents a 3D video content generation technique and system that uses the multi-view images and the depth map. The proposed uses 3-view video and depth inputs from the 3-view video camera and depth camera for the 3D video content production. Each camera is calibrated using Tsai's calibration method, and its parameters are used to rectify multi-view images for the multi-view stereo matching. The depth and disparity maps for the center-view are obtained from both the depth camera and the multi-view stereo matching technique. These two maps are fused to obtain more reliable depth map. Obtained depth map is not only used to insert a virtual object to the scene based on the depth key, but is also used to synthesize virtual viewpoint images. Some preliminary test results are given to show the functionality of the proposed technique.

• Annual Conference of KIPS
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• 2006.05a
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• pp.925-928
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• 2006

본 논문에서는 영상에 워터마크를 삽입하고 추출하는 동시에 원영상을 복원하는 리버서블 워터마킹 알고리즘을 제안한다. 제안한 알고리즘의 핵심은 워터마크가 삽입된 영상에 변하지 않는 위치정보를 전달하는 것이다. 본 논문에서는 우선 원영상을 odd image와 even image로 분리한 다음odd image에 interpolation 기법을 이용하여 resizing시키고 resizing 된 영상(odd_resize_image)에서 기수항은 그대로 두고 우수항은 기수항과 우수항의 차이값으로 채우는 방법으로 location map을 얻는다. 이 location map 에 의해 워터마크를 삽입위치를 선택하면 추출과정에서도 같은 location map을 이용할 수 있기에 워터마크 삽입위치를 정확하게 판단하여 추출할 수 있고 동시에 원본 영상을 복원할 수 있다. 본 알고리즘은 영상에 변화를 적게 주었기 때문에 높은 비가시성을 보인다. 실험 결과 $256{\times}256$ 영상에서 PSNR이 평균 53.07dB의 우수한 비가시성을 보였다.