• Journal of KIISE
• /
• v.44 no.11
• /
• pp.1236-1243
• /
• 2017

In this paper, we propose a novel way of producing keyword networks, named LSI-based ClusterTextRank, which extracts significant key words from a set of clusters with a mutual information metric, and constructs an association network using latent semantic indexing (LSI). The proposed method reduces the dimension of documents through LSI, decomposes documents into multiple clusters through k-means clustering, and expresses the words within each cluster as a maximal spanning tree graph. The significant key words are identified by evaluating their mutual information within clusters. Then, the method calculates the similarities between the extracted key words using the term-concept matrix, and the results are represented as a keyword association network. To evaluate the performance of the proposed method, we used travel-related blog data and showed that the proposed method outperforms the existing TextRank algorithm by about 14% in terms of accuracy.

• Journal of KIISE:Computing Practices and Letters
• /
• v.15 no.4
• /
• pp.299-303
• /
• 2009

Patent information search is used for checking existence of earlier works. In patent information search, there are many reasons that fails to get appropriate information. This research proposes a method extracting alternative word candidates in order to minimize search failure due to keyword mismatch. Assuming that two words have similar meaning if they have similar co-occurrence words, the proposed method uses the concept of concentration, association word set, cosine similarity between association word sets and a ranking modification technique. Performance of the proposed method is evaluated using a manually extracted alternative word candidate list. Evaluation results show that the proposed method outperforms the document vector space model in recall.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.13 no.6
• /
• pp.1263-1268
• /
• 2018

In this paper, a video analysis is proposed to implement video surveillance system with deep learning object detection and probabilistic data association filter for tracking multiple objects, and suggests its implementation using GPU. The proposed video analysis technique involves object detection and object tracking sequentially. The deep learning network architecture uses ResNet for object detection and applies probabilistic data association filter for multiple objects tracking. The proposed video analysis technique can be used to detect intruders illegally trespassing any restricted area or to count the number of people entering a specified area. As a results of simulations and experiments, 48 channels of videos can be analyzed at a speed of about 27 fps and real-time video analysis is possible through RTSP protocol.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2023.05a
• /
• pp.429-429
• /
• 2023

우리나라의 물 관련 정책 방향이 환경 중심의 수자원 관리에서 친수공간 및 정보의 확보와 같은 안전한 물관리로 확대되면서 정책추진에 기초가 될 수 있는 신뢰도 높은 수문자료의 생산이 보다 중요시되고 있다. 국가 수문조사사업은 이러한 정책기조에 맞춰 제도적인 뒷받침과 함께 조사의 범위와 기술, 품질관리 등의 영역을 넓히며 그 기능을 활발히 하고 있으나, 물관리 정책의 경향에 따른 수문조사사업의 방향성과 특징을 구조적으로 살펴본 연구는 부족한 것으로 파악된다. 따라서 본 연구는 친수·친환경적 물관리가 강조된 시기('97~현재)를 중점으로 하여 물관리 정책과 관련 계획의 변화가 수문조사사업에 어떠한 영향을 주는지 고찰하였다. 이를 위해 물관리 여건의 변화에 따라 달라진 관련 정책별 주제어의 분포와 수문조사사업과 연관된 주요어의 출현빈도 및 경향을 살펴보고, 주요 연관어와 연계한 사업의 방향과 구조를 분석하였다. 분석자료로는 물관리 관련 법령 등의 제도와 언론기사자료, 정책별 추진방향을 활용하였다. 정책의 추진방향은 1) 수자원의 종합적 개발에서 친환경적 측면과 지속가능성이 강조된 수자원장기종합계획(3-1차~4-3차)과 2) 사람과 자연이 함께 고려된 맑고 안전한 물, 통합물관리 등의 전략이 수록된 국가물관리기본계획(1차), 3) 정책의 기조에 따라 수립 및 보완된 수문조사 기본계획(1~2차)을 바탕으로 하였다. R프로그램을 통한 텍스트 마이닝을 활용하여 각 자료에서의 주제어 분포와 출현빈도를 분석하고, 정책별 추진방향과 수문조사사업의 연계성을 나타내었다. 연구의 함의를 담은 결과로서 물관리 여건이 변화된 시점별 주요연관어를 중심으로 한 정책동향과 수문조사사업의 특징 및 방향을 요약·비교하여 제시하였으며, 이는 물관리 분야에서의 국정운영 목표와 연계하여 국가 수문조사사업의 사업성을 고찰하는 연구의 기반이 될 수 있으리라 생각된다.

• The Journal of Engineering Geology
• /
• v.12 no.1
• /
• pp.95-109
• /
• 2002

A significant question is what role does newly-formed expansive mineral growth play in the premature deterioration of concrete. These minerals formed in cement paste as a result of chemical reactions involving cement paste and coarse/fine aggregate. Petrographic observations and SEM/EDAX analysis were conducted in order to determine chemical and mineralogical changes in the aggregate and cement paste of samples taken from lowa concrete highways that showed premature deterioration. Formation and expansive mechanisms involved in deterioration were Investigated. Brucite, Mg(OH)$_2$, is potentially expansive mineral that farms in cement paste of concretes containing reactive dolomite aggregate as a result of partial dedolomitization of the aggregate. No cracking was observed to be spatially associated with brucite, but most brucite was microscopic in size and widely disseminated in the cement paste of less durable concretes. Expansion stresses associated with its growth at innumerable microlocations may be retrieved by cracking at weaker locations in the concrete. Ettringite, 3CaO.Al$_2$O$_3$.3CaSO$_4$.32$H_2O$, completely fills many small voids and occurs as rims lining the margin of larger voids. Microscopic ettringite is common disseminated throughout the paste in many samples. Severe cracking of cement paste causing premature deterioration is often closely associated with ettringite locations, and strongly suggests that ettringite contributed to deterioration. Pyrite, FeS2, is commonly present in coarse/fine aggregates, and its oxidation products is observed in many concrete samples. Pyrite oxidation provides sulfate ions for ettringite formation.

• Journal of Korean Philosophical Society
• /
• v.117
• /
• pp.85-111
• /
• 2011

Topics with which chis paper deals are as following; (1)Zizek's interpretation of Rothko's painting, (2)Lacan's gaze and picture, (3)the real as object a, (4)primal jouissance and death-drive, (5)a new identity of man-emptiness in Zizek, (6) existential level and existential conflict, (7)a variety of meanings of emptiness, (8)transpecsonal drive and meditation, (9) the different Real-Emptiness, (10)Rochko's painting and transpersonal drive.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.19 no.1
• /
• pp.43-52
• /
• 2016

Land price contains the comprehensive characteristics of urban space, representing the social and economic features of the city. Accordingly, land price can be utilized as an indicator, which can identify the changes of spatial structure and socioeconomic variations caused by urban development. This study attempted to explore the change in land price by the road construction. Methodologically, it adopted Space Syntax, which can interpret urban spatial structure comprehensively, to identify the relationship between the forms of road networks and land price. The analytical results show that the correlation between 'integration index of Space Syntax' with 'officially assessed land price' was the highest, and as integration was higher, 'officially assessed land price' increased. Subsequently, using regression equation, it tried to predict the land price changes of surrounding areas, according to the new road construction in case area. As shown above, the research methods or study results have the advantage of predicting the changes in land price that can attract high concern of residents in an easy way. In addition, it will contribute to establishing relevant polices and smoothing business promotion through the enhancing residents' understanding by suggesting the change in land price in advance before the execution of urban regeneration and development projects.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.17 no.4
• /
• pp.124-137
• /
• 2018

The main purpose of this study is to find the hotspots of crimes that occur frequently in the space and to derive the appropriate CCTV installation location. One of the characteristics of crime is clustered around past occurrence area, and these crimes are strongly correlated. It is also possible to find the cause of the clusters and the variables that affect the crime through the history of the crime. In addition to the traditional OLS model, spatial differential model including spatial autocorrelation and spatial error model were used to select the variables influencing the five major crime rate, the theft rate and the foreign resident rate. The variables affecting the Five major crimes were positive (+) sign for the welfare and the rate of the bar cluster rate, and negative (-) for the street density. The CCTV area occupies 46% of the hotspots based on the overlapping of the areas where the elderly people are crowded, the bar cluster, many multicultural families, and the areas with low density of street lamps. It turned out. Taking into account the current CCTV operation, the total number of new cases to cover the risk point was 89.

• Journal of the Economic Geographical Society of Korea
• /
• v.9 no.3
• /
• pp.318-340
• /
• 2006

In the last decade, there has been a widespread interest in knowledge production activities as a new engine of endogeneous growth. In the knowledge-based economy, there has been a growing importance of the patent as the index of knowledge production. Much literature suggests that knowledge production activities tend to be spatially concentrated and formed the clusters in the advanced economies. The purpose of this paper is to analyze spatial-temporal patterns of knowledge production activities in Korea based on a data set of patents from 1981-2000. This paper uses spatial statistical methods and GIS to explore the spatial dimensions of knowledge production activities in Korea. Through this research, it was found that knowledge production activities were unevenly distributed. The knowledge production activity measured by patent counts is highly concentrated in a limited number of cities. The top 10 cities accounted for 68.5% of the total number of patents in the period of 1981-2000, suggesting the existence of a strong concentration of knowledge production activities in Korea. The locations of knowledge production activities by themselves represented a strong spatial autocorrelation. The concentration of knowledge production activities in Korea is spatially correlated to the concentration of adjacent neighboring cities. The location of knowledge production activities is not free from a spatial context and spillover of knowledge production activities are heavily bounded within geographic limits, forming a spatial cluster. There appear some quite a large spatial cluster around the seoul metropolitan area.

• Spatial Information Research
• /
• v.22 no.3
• /
• pp.89-99
• /
• 2014

The aim of this study is to represent the residential population distribution in Seoul, Korea more precisely through the dasymetric mapping method. Dasymetric mapping can be defined as a mapping method to calculate details from truncated spatial distribution of main statistical data by using ancillary data which is spatial data related to the main data. In this research, there are two types of data used for dasymetric mapping: the population data (2010) based on a output area survey in Seoul as the main data and the building footprint data including register information as ancillary spatial data. Using the binary method, it extracts residential buildings as actual areas where residents do live in. After that, the regression method is used for calculating the weights on population density by considering the building types and their gross floor areas. Finally, it can be reproduced three-dimensional density of residential population and drew a detailed dasymetric map. As a result, this allows to extract a more realistic calculating model of population distribution and draw a more accurate map of population distribution in Seoul. Therefore, this study has an important meaning as a source which can be applied in various researches concerning regional population in the future.