• Title/Summary/Keyword: Observation Features

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AUTOMATIC DETECTION Of NARROW OPEN WATER STREAMS IN AMAZON FORESTS FROM JERS-1 SAR IMAGERY

  • Amano, Takako-Sakurai;Iisaka, Joji;Kamiyama, Masataka;Takagi, Mikio
    • Proceedings of the KSRS Conference
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    • 1999.11a
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    • pp.310-315
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    • 1999
  • We extracted narrow open water streams from JERS-1 SAR images of the Amazon rain forest. The extracted range of these streams were almost comparable to a high level extraction of the same streams from near-IR images of JERS-1 VNIR data notwithstanding that these features in SAR images show the strong dependence of the observation angle. Large water bodies are relatively easy to extract from JERS-1 SAR images, as they tend to appear as very dark areas; but streams whose width is nearly equal to or less than the spatial resolution no longer appear as very dark features. By using strong scatterers distributed sparsely along the radar facing sides of the streams, we can successfully estimate approximate ranges of waterways and then extract relatively dark line-like features within these ranges.

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Tree aging observation of XLPE by image processing (화상처리에 의한 XLPE의 트리열화관측)

  • 임장섭;김태성;길촌승
    • Electrical & Electronic Materials
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    • v.8 no.5
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    • pp.551-557
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    • 1995
  • For the observation of treeing, a visual measurement with an optical microscope has been used to explain breakdown mechanism in high-voltage systems. The conventional directed visual method of tree aging observation is difficult to measure in short time processing, and it is impossible to analyze on tree degradation area, progressed direction, tree pattern, etc. By using an image processing technique, the tree features which appear immediately after the tree initiation as well as changes in the configuration of the tree can be easily measured and observed than using the conventional visual methods. In this paper, we have developed a tree observating system by using image processing for tree growth, degradation area and other treeing progress. As an experimental result, it can be concluded that the image processing method is a more effective alternative than directed visual observation method. As a matter of fact, it is possible to record the image of tree propagation immediately after its first appearance and explain the characteristics of tree growth froth the computer processing image.

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The Role of Classroom Observation Instruments in Supporting Mathematics Teachers' Instructional Change (수학 교사의 수업실천역량 향상을 위한 수업관찰도구의 역할)

  • Noh, Jihwa
    • East Asian mathematical journal
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    • v.39 no.2
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    • pp.183-198
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    • 2023
  • Classroom observation instruments are often used to evaluate teachers' instructional practices and provide feedback to inform interventions or research studies, or professional development efforts. While designed as research tools, many classroom observation instruments can provide important information to support teachers' learning and instructional change by providing a focus for formative assessment or self-evaluation of practice. In this paper, we review two classroom observation tools and the protocols for their use with an implementation example for one of the tools. These tools are more foreign to the field compared to others but have features that might serve as affordances in relation to the purposes of a specific investigation.

The Behavior Analysis of Exhibition Visitors using Data Mining Technique at the KIDS & EDU EXPO for Children (유아교육 박람회에서 데이터마이닝 기법을 이용한 전시 관람 행동 패턴 분석)

  • Jung, Min-Kyu;Kim, Hyea-Kyeong;Choi, Il-Young;Lee, Kyoung-Jun;Kim, Jae-Kyeong
    • Journal of Intelligence and Information Systems
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    • v.17 no.2
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    • pp.77-96
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    • 2011
  • An exhibition is defined as market events for specific duration to present exhibitors' main products to business or private visitors, and it plays a key role as effective marketing channels. As the importance of exhibition is getting more and more, domestic exhibition industry has achieved such a great quantitative growth. But, In contrast to the quantitative growth of domestic exhibition industry, the qualitative growth of Exhibition has not achieved competent growth. In order to improve the quality of exhibition, we need to understand the preference or behavior characteristics of visitors and to increase the level of visitors' attention and satisfaction through the understanding of visitors. So, in this paper, we used the observation survey method which is a kind of field research to understand visitors and collect the real data for the analysis of behavior pattern. And this research proposed the following methodology framework consisting of three steps. First step is to select a suitable exhibition to apply for our method. Second step is to implement the observation survey method. And we collect the real data for further analysis. In this paper, we conducted the observation survey method to obtain the real data of the KIDS & EDU EXPO for Children in SETEC. Our methodology was conducted on 160 visitors and 78 booths from November 4th to 6th in 2010. And, the last step is to analyze the record data through observation. In this step, we analyze the feature of exhibition using Demographic Characteristics collected by observation survey method at first. And then we analyze the individual booth features by the records of visited booth. Through the analysis of individual booth features, we can figure out what kind of events attract the attention of visitors and what kind of marketing activities affect the behavior pattern of visitors. But, since previous research considered only individual features influenced by exhibition, the research about the correlation among features is not performed much. So, in this research, additional analysis is carried out to supplement the existing research with data mining techniques. And we analyze the relation among booths using data mining techniques to know behavior patterns of visitors. Among data mining techniques, we make use of two data mining techniques, such as clustering analysis and ARM(Association Rule Mining) analysis. In clustering analysis, we use K-means algorithm to figure out the correlation among booths. Through data mining techniques, we figure out that there are two important features to affect visitors' behavior patterns in exhibition. One is the geographical features of booths. The other is the exhibit contents of booths. Those features are considered when the organizer of exhibition plans next exhibition. Therefore, the results of our analysis are expected to provide guideline to understanding visitors and some valuable insights for the exhibition from the earlier phases of exhibition planning. Also, this research would be a good way to increase the quality of visitor satisfaction. Visitors' movement paths, booth location, and distances between each booth are considered to plan next exhibition in advance. This research was conducted at the KIDS & EDU EXPO for Children in SETEC(Seoul Trade Exhibition & Convention), but it has some constraints to be applied directly to other exhibitions. Also, the results were derived from a limited number of data samples. In order to obtain more accurate and reliable results, it is necessary to conduct more experiments based on larger data samples and exhibitions on a variety of genres.

Searching of Information on Reverse left/right Space in Sports-Shop and Features of Its Visual Appreciation - Through Comparison of Original and Reverse left/right Image Space - (스포츠 매장의 전회에 따른 정보 탐색과 시각적 이해 특성 - 원-공간과 전회-공간의 이미지 비교를 통해 -)

  • Kim, Jong-Ha
    • Korean Institute of Interior Design Journal
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    • v.25 no.5
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    • pp.71-81
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    • 2016
  • This research has been carried out with the objects of sporting goods shops to find out what structure of those shops raises more interest from customers. The tracking eyes on the objects which are the same but seen to have different structures has revealed the followings. Customers' visual appreciation of Reverse left/right Images (11.1) was found to be higher than that of Original Images (10.6). Furthermore, the reverse left/right image of the space also was found to attract more interest from customers, which led them to have longer observation. The below is about the interpretation of the spatial exploration by observation time and the appreciation of its visual content in line with the experiment objects of selling spaces. The longer the space was observed, (1)the higher the expansive searching of space was, (2)the more spots were observed as if they did not know what to see after they first observed at early hours, (3)later (in the time range of 64~73 seconds) they came to look at the spots in which they got interested, (4)and then again they suddenly got lost what to see. When the change of observation characteristics by time range is reviewed, it can be seen that the searching of original images is changed from Divergent Feature to Convergent Feature when the observation time increases from the early stage of observation to the later. On the contrary, the reverse left/right images were found to have the opposite searching features, that is, from convergent exploration to divergent exploration. These findings show that the reverse left/right images of the sporting goods shops, which were the experiment objects, have more factors attracting customers' attention and interest and that it is the very shop-structure which makes customers have better visual appreciation of those shops.

MERITS OF COMBINATION OF ACTIVE AND PASSIVE MICROWAVE SENSORS FOR DEVELOPING ALGORITHMS OF SST AND SURFACE WIND SPEED

  • Shibata, Akira;Murakami, Hiroshi
    • Proceedings of the KSRS Conference
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    • v.1
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    • pp.138-141
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    • 2006
  • In developing algorithms to retrieve the sea surface temperature (SST) and sea surface wind speed from the Advanced Microwave Scanning Radiometer (AMSR) aboard the AQUA and the Advanced Earth Observation Satellite-II (ADEOS-II), data from the SeaWinds aboard ADEOS-II were helpful. Since features of the ocean microwave emission (Tb) related with ocean wind are not well understood, in case of using only AMSR data, combination of AMSR and SeaWinds revealed pronounced features about the ocean Tb. Two results from combinations of the two sensors were shown in this paper. One result was obtained at wind speeds over about 6m/s, in which the ocean Tb varies with the air-sea temperature difference, even though the SeaWinds wind speed is fixed at the same values. The ocean Tb increases as the air-sea temperature difference becomes negative, i.e., the boundary condition becomes unstable. This result indicates that the air temperature should be included in AMSR SST algorithm. The second result was obtained from comparison of two wind speeds between AMSR and SeaWinds. There is a small difference of two wind speeds, which might be related with several mechanisms, such as evaporation and plankton.

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Extraction of Common GCPs from JERS-1 SAR Imagery

  • Sakurai Amamo, Takako;Mitsui, Hiroe;Takagi, Mikio;Kobayashi, Shigeki;Fujii, Naoyuki;Okubo, Shuhei
    • Proceedings of the KSRS Conference
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    • 1998.09a
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    • pp.186-191
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    • 1998
  • The first step in change detection in any SAR monitoring, including SAR interferometry, is the co-registration of the images. CCPs (Ground Control Points) for co-registration are usually detected manually, but for qualitative analyses of enormous volumes of data, some automation of the process will become necessary. An automated determination of common CCPs for the same path/row data is especially desirable. We selected the intersections of linear features as the candidates of common GCPs Very bright point targets, which are commonly used as GCPs, have the drawback of appearing and disappearing depending on the conditions of the observation. But in the case of linear features, some detailed elements may appear differently in some case, but the overall line-likeness will remain. In this study, we selected 18 common GCPs for a single-look JERS-1 SAR image of Omaezaki area in central Japan. Although the GCPs in the first image had to be selected either interactively or semi-automatically, the same GCPs in all other images were successively detected automatically using a tiny sub-image around each GCP and a dilated mask of each linear feature in the first image as the reference data.

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Results of KVN and ALMA observations toward WX Psc

  • Yun, Youngjoo;Cho, Se-Hyung;Yoon, Dong-Hwan;Yang, Haneul
    • The Bulletin of The Korean Astronomical Society
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    • v.44 no.1
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    • pp.67.2-67.2
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    • 2019
  • We present the results of KVN and ALMA observations toward WX Psc (IRC+10011) which is a long-period variable OH/IR star. The SiO masers of v=1 and v=2, J=5-4, and the SiO thermal emission of v=0, J=5-4 were observed together with H2O v2=1 (232.6 GHz) and continuum emission at ALMA Band 6 in October 2017 (Cycle 5). This observation aims to investigate the physical association between the inner and outer parts of the circumstellar envelope (CSE) swept by the stellar winds, which is very crucial to understand the asymmetric outward motions developed during the evolutionary phases from the asymptotic giant branch (AGB) stars to the planetary nebulae (PNe). The strong SiO maser features and thermal emissions are detected together with the continuum emission in ALMA observation, which imply the elongated morphology of the CSE of WX Psc. While the spatial resolution of about 20 mas in ALMA observation cannot clearly resolve the detailed characteristics of the inner part of the CSE, the Korean VLBI Network (KVN) observations show the spatial distributions of the v=1 J=1-0, J=2-1, J=3-2 SiO masers emitted from the inner regions of CSE, which are the complementary to the ALMA results. Therefore, we expect these results reveal how the bipolar features of the 22 GHz H2O maser are connected to the innermost region of CSE through the dust condensation region, which is closely related to the enormous mass ejection of the evolved stars.

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Research on Gender Specification and Their Visual Preferences at Department Store Display Space - Target Department Store Space - (백화점 매장공간의 성별 탐색 특성과 주시경향에 관한 연구 - 백화점 매장 공간을 대상으로 -)

  • Choi, Gae-Young
    • Korean Institute of Interior Design Journal
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    • v.25 no.6
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    • pp.52-60
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    • 2016
  • Observation about space is looked steady in an instant, but in continuous movement, one's observation unconsciously stays at different points. In department store, customer actually observes around the store for buying, not focusing on certain point. By studying customer's movement and observation feature, buying desire and interest can be found. For analysis of the different searching-features according to the continuous-observation depending on sex, the study is set up to record movements of customers at women in Department store. The following are the findings. First, Men observed 0.2-0.4 units more in I-II section which are assumed as predominant. The result shows that men can focus on more section (around +0.4%) and longer (around +5.7%) than women do. Second, the same feature of observation depending on sex is that both men and women observe left and right section while keep focusing on middle section. Third, according to the fact that right-focused observation magnificently occurred in the image curved to right, the Space-composition has influenced on the observation of both men and women on the space. Forth, excessive number of display can cause avoidance of observation. Moreover, observation does not stay on the coverage due to wall or post, but is attracted to the brand name. As brand name causes right-focused observation in the image [(8)], brand name can be one of the reasons to attract observation in women apparel store. To sum up, this study is noticeable as it researches about continuous-observation. Furthermore, verifying the result that the composition of space and the placement of products can cause big differences in the observation feature is meaningful outcome.

Development of Fast Imaging Solar Spectrograph and Observation of the Solar Chromosphere

  • Park, Hyung-Min
    • The Bulletin of The Korean Astronomical Society
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    • v.36 no.2
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    • pp.80.1-80.1
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    • 2011
  • It is well known that chromospheric features are fine structured, short lived, and dynamic. Spectrograph-based observation have obvious advantage of getting physical properties of solar chromosphere than filter-based one. We developed and installed Fast Imaging Solar Spectrograph (FISS) attached on New Solar Telescope in Big Bear Solar Observatory. FISS have capabilities to take data with high time, spatial and spectral resolution at two wavelengths(Ha $6563{\AA}$ and CaII $8542{\AA}$) simultaneously. After FISS installation, we observed various chromospheric features : active regions, quiet regions, filaments/prominences and so on. As one of chromospheric studies, we analyzed solar prominences and got physical parameters by using simple radiative transfer modeling. The ranges of temperature and non-thermal velocities are found to be 7500-13000K and 5-11km/s, respectively.

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