• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.4
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• pp.358-365
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• 2017

In this paper, we propose an object recognition method using image information to improve the efficiency of visual servoingfor industrial manipulators in industry. This is an image-processing method for real-time responses to an abnormal situation or to external environment change in a work object by utilizing camera-image information of an industrial manipulator. The object recognition method proposed in this paper uses the Otsu method, a thresholding technique based on separation of the V channel containing color information and the S channel, in which it is easy to separate the background from the HSV channel in order to improve the recognition rate of the existing Harris Corner algorithm. Through this study, when the work object is not placed in the correct position due to external factors or from being twisted,the position is calculated and provided to the industrial manipulator.

• 한국사회정책
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• v.23 no.2
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• pp.83-112
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• 2016

Increase of immigrants in Korean society means that ethnic and cultural diversity witnessed in Western immigration countries is also appearing in overall Korean society. The purpose of this study is to suggest policy directions which fit multicultural society in the future by comparing and analyzing the difference in the recognition of multiculturalism between Koreans and immigrants. As the result of empirical analysis, it turned out that there is difference in recognition between Koreans and immigrants, for which different policy directions are required. First, it was contact experience that decided Koreans' multicultural attitudes. High level of influence of contact experience means that although Koreans take multicultural society as granted, they actually have low level of contact experience with immigrants, which requires policy tools to convert actual strengthened contact experience into positive directions. Second, in the case of immigrants, the less they recognize discrimination and the more bias is fortified, the more they accept multiculturalism as a threat. This exhibits their dual sense of identity in which they recognize themselves as foreigners toward Koreans but they distinguish themselves from other foreigners. Thus, assimilation to Korean society is not deemed to be the only alternative and Korean society needs to practice genuine multiculturalism to strengthen immigrants' ethnic identity. Study also conducted in-depth discussions on the implications of above results.

• Journal of the Korean earth science society
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• v.34 no.3
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• pp.274-285
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• 2013

The purpose of this study was to develop geological field study sites for learning topography and geology of the area with igneous rocks, specifically in Duibaejae volcanic edifice and Seonang-bawi that were distributed in Goseong-gun, Gangwon-do area. As a follow up, we conducted a study to examine the effect of the study sites when applied to high school freshmen Earth science course. The study proceeded based on the Orion's model in the order of preparatory unit, field trip, and summary unit. The geological field study sites were developed based on the geological study elements presented in the Korean Earth science curriculum. Before the field trip, students simply memorized factual knowledge on minerals, rocks and etc., and showed very low level of understanding on the formation process of the region that was distributed with granite and basalt. Especially, their understanding showed that granite and basalt were formed from the same magma at the same time. After the field trip, they increased in-depth level of understanding about minerals, rocks, and geological structures, but were not able to explain the topographical characteristics of the two rocks because they did not recognize the times of the creation of granite and basalt. The reason is that they have learned the simple concept of the process of forming granite and basalt in their middle school, but that they have not learned the meaning of the difference between two the geological eras when each of the two rocks, granite and basalt, were formed.

• Journal of Korean Society for Geospatial Information Science
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• v.15 no.2 s.40
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• pp.59-66
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• 2007

The digital working environment and its related technology have been rapidly expanding. In the surveying field, we have changed from using optical film cameras and plotters to digital cameras, multi sensors like GPS/INS etc,. The old analog work flow is replaced by a new digital work flow. Accurate data of the land is used in various fields, efficient utilization and management of land, urban planning, disaster and environment management. It is important because it is an essential infrastructure. For this study, LiDAR surveying was used to get points clouds in the study area. It has a high vegetation penetrating advantage and we used a digital process from planning to the final products. Contour lines were made from LiDAR data and compared with national digital base maps (scale 1/1,000 and 1/5,000). As a result, the accuracy and the economical efficiency were evaluated. The accuracy of LiDAR contour data was average $0.089m{\pm}0.062\;m$ and showed high ground detail in complex areas. Compared with 1/1,000 scale contour line production when surveying an area over $100\;km^2$, approximately 48% of the cost was reduced. Therefore we prepose LiDAR surveying as an alternative to modify and update national base maps.

• Journal of Korea Water Resources Association
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• v.53 no.10
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• pp.903-915
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• 2020

Long-term high-resolution hydro-meteorological data has been recognized as an essential element in establishing the water resources plan. The increasing demand for spatial precipitation in various areas such as climate, hydrology, geography, ecology, and environment is apparent. However, potential limitations of the existing area-weighted and numerical interpolation methods for interpolating precipitation in high altitude areas remains less explored. The proposed PRISM (Precipitation-Elevation Regressions on Independent Slopes Model) model can produce gridded precipitation that can adequately consider topographic characteristics (e.g., slope and altitude), which are not substantially included in the existing interpolation techniques. In this study, the PRISM model was optimized with SCEM-UA (Shuffled Complex Evolution Metropolis-University of Arizona) to produce daily gridded precipitation. As a result, the minimum impact radius was calculated 9.10 km and the maximum 34.99 km. The altitude of coastal weighted was 681.03 m, the minimum and maximum distances from coastal were 9.85 km and 38.05 km. The distance weighting factor was calculated to be about 0.87, confirming that the PRISM result was very sensitive to distance. The results showed that the proposed PRISM model could reproduce the observed statistical properties reasonably well.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.40 no.2
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• pp.91-108
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• 2022

In most cases, optical images have been used as training data of DL (Deep Learning) models for object detection, recognition, identification, classification, semantic segmentation, and instance segmentation. However, properties of 3D objects in the real-world could not be fully explored with 2D images. One of the major sources of the 3D geospatial information is DSM (Digital Surface Model). In this matter, characteristic information derived from DSM would be effective to analyze 3D terrain features. Especially, man-made objects such as buildings having geometrically unique shape could be described by geometric elements that are obtained from 3D geospatial data. The background and motivation of this paper were drawn from concept of the intrinsic image that is involved in high-level visual information processing. This paper aims to extract buildings after classifying terrain features by training DL model with DSM-derived information including slope, aspect, and SRI (Shaded Relief Image). The experiments were carried out using DSM and label dataset provided by ISPRS (International Society for Photogrammetry and Remote Sensing) for CNN-based SegNet model. In particular, experiments focus on combining multi-source information to improve training performance and synergistic effect of the DL model. The results demonstrate that buildings were effectively classified and extracted by the proposed approach.

• Journal of Digital Contents Society
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• v.11 no.3
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• pp.375-383
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• 2010

In developing question-answering (QA) systems, it is hard to analyze natural language questions syntactically and semantically and to find exact answers to given query questions. In order to avoid these difficulties, we propose a new style of question-answering system that automatically generate natural language queries and can allow to search queries fit for given keywords. The key idea behind generating natural queries is that after significant sentences within text documents are applied to the named entity recognition technique, we can generate a natural query (interrogative sentence) for each named entity (such as person, location, and time). The natural query is divided into two types: simple type and sentence structure type. With the large database of question-answer pairs, the system can easily obtain natural queries and their corresponding answers for given keywords. The most important issue is how to generate meaningful queries which can present unambiguous answers. To this end, we propose two principles to decide which declarative sentences can be the sources of natural queries and a pattern-based method for generating meaningful queries from the selected sentences.

• 한국방재학회:학술대회논문집
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• 2011.02a
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• pp.191-191
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• 2011

최근 빗물이 우리가 앞으로 이용할 수 있는 수자원이라는 사회적인 인식의 변화와 함께 빗물이용이 더욱 요구되어졌다. 특히 빗물의 이용 저류 침투를 목적으로 하는 우수 관리에 대한 관심이 증가하면서 빗물이용시설의 설치, 운용의 필요성이 대두되고 있다. 이에 반해 화재발생은 해마다 증가하고 있으며, 화재 증가는 소방력 활동의 증가로 귀결되는데 현장활동 인력과 장비 그리고 화재를 진압하는데 사용되는 소방용수 증가를 의미한다. 따라서 본 연구는 빗물을 소방용수로 즉, 화재진압시 활용 가능성과 수자원 절약, 화재 사각지역 해소 측면을 살펴보기 위해서 통계분석, 현장조사, 기존 빗물이용시설 및 향후 완공 예정인 우수유출저감시설 활용과 소방용수 미설치 지역과 소방관서 옥상에 빗물이용시설 설치 방안을 제시하였으며, 그에 따른 공공서비스 확대와 경제성 분석을 통하여 다음과 같은 연구결과를 도출하였다. 첫째, 기존 빗물이용시설을 소방용수로 적극적으로 활용해야 한다. 빗물이용시설의 주 용도로 조경용수, 청소용수, 소방용수로 나눌 수 있는데 이수 측면에서 화재가 발생하지 않으면 소방용수로서 이용이 거의 없는 실정이다. 이는 해당 건물관계자나 소방대원들이 빗물이용시설을 인식을 못하고, 사용과 접근성 불편으로 상수도와 연결된 소화전에 의존하는 경우가 많다고 본다. 둘째, 상수도시설이 없는 지역은 빗물이용으로 소방용수를 확보해야 한다. 섬, 산간, 고지대, 농촌지역 등 상수도 서비스를 공급받지 못하는 지역은 화재발생시 수원확보곤란으로 인명과 재산피해의 증가요인으로 작용할 수 있다. 공공서비스 확대차원에서 화재 사각지역을 해소하기 위해 지붕면을 이용한 각 가정마다 또는 공동 빗물저장소와 지형의 비탈면을 이용한 빗물이용시설 설치로 소방용수 확보의 필요성을 확인했다. 셋째, 소방관서 신설시 빗물이용시설을 도입하여 설치한다. 화재통계와 현장조사를 통하여 소방차 출동대기부터 화재진압까지 많은 양의 물이 사용되는 것으로 파악되었다. 대부분 먹는 물 즉, 상수도를 이용한다는 점에서 수자원 절약과 화재진압에 사용된 물은 재생 불가능이라는 환경보전 측면에서 빗물이용으로 해답을 찾아본다. 따라서 빗물을 많이 저장할 수 있도록 옥상, 부지 등 집수면적을 확대하고 이에 적합한 저류시설을 갖춘 빗물이용시설을 설치한다. 끝으로 신속하고 효율적인 화재진압이 중요한 만큼 빗물을 소방용수로 활용하고자 할 때는 언제 어디에서나 현장 접근성, 사용 편리성, 충분한 수량을 고려해야한다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.8
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• pp.2942-2950
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• 2010

Car black box helps to investigate the cause of accident by recording time, position and videos as well as shock information. In addition, the car black box need a function to support safe driving for preventing accident. The representative driving support function is a lane departure warning. In order to implement the function, it is necessary to carry out the image processing to detect the lane first. The image processing algorithm requires computational burden to handle so much data and complicated structure of algorithm. This paper describes the efficient image processing algorithm with relatively low amount of computation for car black box embedded platform to detect lanes from the real-time lane image.

• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.5
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• pp.587-592
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• 2004

Context-aware computing systems require real-time context reasoning process for context awareness. Context reasoning can be done by comparing input information from sensors with knowledge-base within system. This method is identical with it of rule-based systems. In this paper, we propose hardware rule-based system architecture which can process context reasoning in real-time. Compared to previous architecture, hardware rule-based system architecture can reduce the number of constraints on rule representations and combinations of condition terms in rules. The modified content addressable memory, crossbar switch network and pre-processing module are used for reducing constraints. Using SystemC for description can provide easy modification of system configuration later.