• Title/Summary/Keyword: MAP changing

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Extraction of Street Tree Information Using Airborne LIDAR Data (항공라이다 자료를 이용한 가로수 정보의 추출)

  • Cho, Du Young;Kim, Eui Myoung
    • Spatial Information Research
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    • v.20 no.6
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    • pp.45-57
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    • 2012
  • The street trees in the urban areas provide an comfortable environment to the pedestrians and drivers and play important roles to absorb the carbons. Therefore, it is necessary to acquire and manage efficiently the location, height, and crown width of street trees. This study suggests a methodology to provide quantitative information of the street trees in urban areas including the quantity, location, height, and crown width of the trees. Therefore, it is more appropriate to add functionality of changing size of the crown width of the trees in the method. In addition, the positions of the street trees were selected using the fact that street trees are generally planted along the road in a straight line. An experiment on extracting street trees was conducted in parts of Osan-si, Gyeonggi-do and the suitability of the suggested methodology was evaluated by comparing the results to a 1/1,000 digital map. Through the experimental results, the minimum, maximum, and the root mean square errors of the position of street trees were 0.5m, 1.9m, and approximately ${\pm}0.4m$, respectively.

LOS Analysis Simulation considering Canopy Cover (수목차폐율을 고려한 가시선 분석 시뮬레이션)

  • Kong, Seong-Pil;Song, Hyun-Seung;Eo, Yang-Dam;Kim, Yong-Min;Kim, Chang-Jae
    • Journal of Korean Society for Geospatial Information Science
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    • v.20 no.2
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    • pp.55-61
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    • 2012
  • The primary factors of the LOS(Line-of-Sight) analysis process are terrain height, camera capacity, and canopy cover. The canopy cover rate differs depending on the changing season, and its value is influenced by the tree density, tree height, and etc. This study generated the canopy cover value based on relationship between NDVI(Normalized Difference Vegetation Index) and DMT(Density Measure % of Tree/Canopy Cover), which is a digital map attribute, and then performed the LOS analysis on six station of test sites. As results, It was found that NDVI and DMT are correlated with each other through the experiments. Based on this finding, new DMT map can be generated using NDVI. Also, There is a difference between the result of visibility analysis using the present DMT and one using a new DMT. Especially, the spatial distributions of the detected visible areas are significantly different between the two visibility analysis results.

Estimation of Regional Future Agricultural Water Demand in Jeju Island Considering Land Use Change (토지이용 변화를 고려한 제주도 권역별 미래 농업용수 수요량 추정)

  • Song, Sung-Ho;Myoung, Woo-Ho;An, Jung-Gi;Jang, Jung-Seok;Baek, Jin-Hee;Jung, Cha-Youn
    • Journal of Soil and Groundwater Environment
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    • v.23 no.1
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    • pp.92-105
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    • 2018
  • In this study, the projected land use area in 2030 for major crop production was estimated in Jeju Island using land cover map, and corresponding agricultural water demand for 40 sub-regions was quantitatively assessed using the future climate change scenario (RCP 4.5). Estimated basic unit of water demand in 2030 was the highest in the western region, and the lowest in the eastern region. Monthly maximum agricultural water demand analysis revealed that water demand in August of 2030 substantially increased, suggesting the climate of Jeju Island is changing to a subtropical climate in 2030. Agricultural water demand for sub-region in 2030 was calculated by multiplying the target area of the water supply excluding the area not in use in winter season by the basic unit of water demand, and the maximum and minimum values were estimated to be $306,626m^3/day$ at Seogwipo downtown region and $77,967m^3/day$ at Hallim region, respectively. Consequently, total agricultural water demand in Jeju Island in 2030 was estimated to be $1,848,010m^3/day$.

A study on Brand Image of Korea Women's Apparel Market with Multidimensional Scaling (다차원 척도기법을 이용한 여성 기성복의 상품 이미지에 관한 연구)

  • Hwang, Seon-Jin
    • Journal of the Korean Society of Costume
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    • v.15
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    • pp.253-265
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    • 1990
  • This article was written with two purposes in mind. The first purpose was to introduce clothing and textile community who may not be familiar with Multidimensional Scaling(MDS) with usefulness of the new technique in the area of fashion merchandising. The second purpose was to present the results of an empirical study on brand image utilizing MDS and its related technique as the main analysis tools. The main objective of the empirical study was to gain a better understanding of consumer's brand image by relating differences in perception and attributes of clothing in women's ready-to wear market. For this empirical study, the ten brands and the fifteen attributes of clothing were chosen. The questionnaire consisting of questions asking about the similarity and attributes of clothing between selected brands was administrated to 185 career women during summer in 1989. Data were analyzed cluster analysis, and KYST and PROFIT in MDS program. The results were as follows: 1. The similarities data for the ten selected brand by using KYST program of MDS drawed the perceptual map. The results of this perceptual map showed that the selected brand were grouped into three clusters. 2. In order to get a somewhat objective view of which attributes consumers are attributing to each brand, PROFIT program was used. As a result, it was revealed that assortment depth / width, price, youth-oriented style, possibility of various social activity were significant attributes in consumer's brand choice rather than physical attributes of clothing such as quality or durability. This may imply that consumer orientation in rapidly changing environments of women's apparel market was its basic idea, and the focus of all fashion merchandising activities was put on need's and the response of consumer group who are the object of the target. Implicating for future research as well as for strategy of brand positioning were also suggested.

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A Calculus of Real-Time Distribution, Mobility and Interaction for Tracing Mobile Agents with Transporting Objects (객체전송 이동체의 추적을 위한 실시간 분산, 이동, 상호작용)

  • Choi, Jung-Rhan;Lee, Moon-Kun
    • Journal of Internet Computing and Services
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    • v.8 no.2
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    • pp.1-13
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    • 2007
  • GPS/GIS and RFID technologies have been changing the paradigm af our society toward ubiquitous era. Especially, geographically distributed mobile agents with transporting objects need to be automatically recognizable and traceable under certain conditions. To do this, fundamental theories and technologies are required to specify and verify spatial and temporal behaviors of agents on geographical space. This paper presents a new formal method, called Calculus of Real-Time Distribution, Mobility, and Interaction (CaRDMI), for this purpose. For specification, CaRDMI defines a map, mobile agents with transporting objects. The movement of on agent is represented by a path on the map, consisting of a list of nodes and a list of edges with spatial and temporal constraints. Interactive constraints among agents are represented by synchronization modes on objects at nodes. These constraints are distinguishable features of CaRDMI from other methods. Especially, many-to-many timed synchronization constraints are noticeable. For verification, CaRDMI presents the spatial, temporal and interactive deduction rules and the spatial and temporal equivalence relations.

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A Study on Lane Detection Based on Split-Attention Backbone Network (Split-Attention 백본 네트워크를 활용한 차선 인식에 관한 연구)

  • Song, In seo;Lee, Seon woo;Kwon, Jang woo;Won, Jong hoon
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.19 no.5
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    • pp.178-188
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    • 2020
  • This paper proposes a lane recognition CNN network using split-attention network as a backbone to extract feature. Split-attention is a method of assigning weight to each channel of a feature map in the CNN feature extraction process; it can reliably extract the features of an image during the rapidly changing driving environment of a vehicle. The proposed deep neural networks in this paper were trained and evaluated using the Tusimple data set. The change in performance according to the number of layers of the backbone network was compared and analyzed. A result comparable to the latest research was obtained with an accuracy of up to 96.26, and FN showed the best result. Therefore, even in the driving environment of an actual vehicle, stable lane recognition is possible without misrecognition using the model proposed in this study.

Improving Lecture Quality using SOFM neural network and C4.5 (SOFM신경망과 C4.5를 활용한 강의품질 개선)

  • Lee, Jang-hee
    • Journal of Practical Engineering Education
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    • v.6 no.2
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    • pp.71-76
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    • 2014
  • Improving lecture quality is very necessary for the service quality of education in universities, enterprises and education institutes. The student lecture evaluation survey data is a good tool for measuring lecture quality and have been often analyzed by simple statistical methods. This study presents an intelligent lecture quality improvement method that can improve student's overall satisfaction and performance by analyzing student lecture evaluation survey data. The method uses SOFM (Self-Organizing Feature Map) neural network and C4.5 to find the patterns in student's satisfaction and performance more correctly and then decide what to change in the lecture for the improvement of student's satisfaction and performance. We apply the proposed method to an enterprise lecture in Korea. We can find that it can improve the quality of an enterprise lecture by changing total lecture time, lecture material and organization of lecture schedule to be necessary improvements.

Development of Application to Deal with Large Data Using Hadoop for 3D Printer (하둡을 이용한 3D 프린터용 대용량 데이터 처리 응용 개발)

  • Lee, Kang Eun;Kim, Sungsuk
    • KIPS Transactions on Software and Data Engineering
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    • v.9 no.1
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    • pp.11-16
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    • 2020
  • 3D printing is one of the emerging technologies and getting a lot of attention. To do 3D printing, 3D model is first generated, and then converted to G-code which is 3D printer's operations. Facet, which is a small triangle, represents a small surface of 3D model. Depending on the height or precision of the 3D model, the number of facets becomes very large and so the conversion time from 3D model to G-code takes longer. Apach Hadoop is a software framework to support distributed processing for large data set and its application range gets widening. In this paper, Hadoop is used to do the conversion works time-efficient way. 2-phase distributed algorithm is developed first. In the algorithm, all facets are sorted according to its lowest Z-value, divided into N parts, and converted on several nodes independently. The algorithm is implemented in four steps; preprocessing - Map - Shuffling - Reduce of Hadoop. Finally, to show the performance evaluation, Hadoop systems are set up and converts testing 3D model while changing the height or precision.

A scientometric, bibliometric, and thematic map analysis of hydraulic calcium silicate root canal sealers

  • Anastasios Katakidis;Konstantinos Kodonas;Anastasia Fardi;Christos Gogos
    • Restorative Dentistry and Endodontics
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    • v.48 no.4
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    • pp.41.1-41.17
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    • 2023
  • Objectives: This scientometric and bibliometric analysis explored scientific publications related to hydraulic calcium silicate-based (HCSB) sealers used in endodontology, aiming to describe basic bibliometric indicators and analyze current research trends. Materials and Methods: A comprehensive search was conducted in Web of Science and Scopus using specific HCSB sealer and general endodontic-related terms. Basic research parameters were collected, including publication year, authorship, countries, institutions, journals, level of evidence, study design and topic of interest, title terms, author keywords, citation counts, and density. Results: In total, 498 articles published in 136 journals were retrieved for the period 2008-2023. Brazil was the leading country, and the universities of Bologna in Italy and Sao Paolo in Brazil were represented equally as leading institutions. The most frequently occurring keywords were "calcium silicate," "root canal sealer MTA-Fillapex," and "biocompatibility," while title terms such as "calcium," "sealers," "root," "canal," "silicate based," and "endodontic" occurred most often. According to the thematic map analysis, "solubility" appeared as a basic theme of concentrated research interest, and "single-cone technique" was identified as an emerging, inadequately developed theme. The co-occurrence analysis revealed 4 major clusters centered on sealers' biological and physicochemical properties, obturation techniques, retreatability, and adhesion. Conclusions: This analysis presents bibliographic features and outlines changing trends in HCSB sealer research. The research output is dominated by basic science articles scrutinizing the biological and specific physicochemical properties of commonly used HCSB sealers. Future research needs to be guided by studies with a high level of evidence that utilize innovative, sophisticated technologies.

Impact of the Perceived Fit of a Fashion Company's CSR Activities on the Recommendation and Purchasing Intention of Consumers (패션 기업의 CSR 활동에 대한 인지적 적합성이 소비자 추천 및 구매의도에 미치는 영향)

  • Lee, Jung-Im;Shin, Su-Yun
    • Journal of the Korean Society of Clothing and Textiles
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    • v.35 no.7
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    • pp.816-827
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    • 2011
  • There is an increasingly fierce competition in the current fashion industry due to equalized technology, a shortened fashion cycle and changing lifestyle; however, it is not easy to map out successful marketing strategies that influence the outcome of business administration. This study discussed the importance of changing environments for the fashion industry and of CSR activities. The findings of the study were as follows. First, consumers who found the fashion company to perform more appropriate CSR activities rated its CSR activities more favorably. Second, consumers who considered the company's CSR activities more suitable for themselves viewed the CSR activities more favorably. Third, consumers who rated a fashion company's CSR activities more favorably showed a more favorable attitude to the company. Fourth, consumers who viewed a fashion company's CSR activities more favorably had a greater intention to recommend the company. Fifth, consumers who viewed a fashion company's CSR activities more favorably had a more buying intention for the company. Sixth, the consumers who took a more favorable attitude to a fashion company had a stronger recommendation intention for that fashion company. Seventh, the consumers who showed a more favorable attitude to a fashion company had a bigger buying intention. Eighth, the consumers who had a greater recommendation intention for a fashion company had an increased buying intention as well.