• 제목/요약/키워드: different types of Image

검색결과 639건 처리시간 0.025초

과학개념 학습지속 효과의 유형과 그 특성 분석 (An Analysis of Patterns and Characteristics of Momentum Effect on Learning Science Concepts)

  • 권재술;김준태
    • 한국과학교육학회지
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    • 제12권1호
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    • pp.11-21
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    • 1992
  • This study tried to find out the effect to types of test items upon the momentum effect. The previous studies showed that the momentum effect is influenced by stduents' congnitive levels and the abstractness of test items. In this study focused on the types of test items The test items are divided into 4 different types of quantitative and qualitative, verbal and image. The result showed that qualitative items showed a longer momentum effect than quantitative ones. The image items and verbal items did not show significant difference in the duration of momentum effect. The interpretation of this would need a careful psychological analysis. Anyhow, this result reconfirmed the existence of the momentum effect and showed that the study on the momentum effect could be a Significant research paradigm.

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다단계 계층군집 영상분류법을 이용한 토지 피복 분석 (Analysis of Land-cover Types Using Multistage Hierarchical flustering Image Classification)

  • 이상훈
    • 대한원격탐사학회지
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    • 제19권2호
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    • pp.135-147
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    • 2003
  • 본 연구는 한반도 위성 영상자료에 다단계 계층군집 영상분류법을 적용하여 관측지역의 피복특성을 분석한다. 다단계 계층군집 영상분류는 크게 두 단계로 이루어진다. 첫 번째 단계는 계층군집에 의해 공간적으로 근접하고 있는 이웃집단간의 결합을 하는 공간확장 영상분할 단계이고 두번째 단계는 결합지역의 공간적 제약 없이 영상분할 단계에서 분할된 집단을 계층군집에 의해 적은 한정적인 수의 클래스로 분류하는 과정이다. 계층군집 영상분류는 수치영상의 계층구조에 근거하여 매 단계 두 개의 집단을 한 개의 집단으로 합병하므로 클래스 수에 따른 분류집단 간의 관계를 나타내는 계층나무를 구성할 수 있다. 실험결과는 계층군집 영상분류에 의해 구성된 계층나무는 토지사용간의 계층구조를 자세히 밝혀주고 토지 피복 특성의 정확한 분석에는 좀 더 자세한 분광정보가 필요함을 보여주고 있다.

WWW에서 칼라특징을 이용한 내용기반 화상검색 시스템의 설계 및 구현 (Design and Implementation of the Content-Based Image Retrieval System using Color Features on the World Wide Web)

  • 최현섭;최기호
    • 한국정보처리학회논문지
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    • 제4권9호
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    • pp.2315-2332
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    • 1997
  • In this paper, we implement a content based image retrieval system for image searching by visual features from the image databases on WWW (world wide web). The image retrieval system finds the images that contain the most similar color regions after the system automatically extracts color features from the input image. We can select one of two query methods which use a full image of $4{\times}4$ 16 sketched color region. The image similarity is calculated on the histogram intersection distance and the histogram Euclidean distance. As the experimental results show that the two different query types provide the precision/recall 0.84/0.92 and 0.85/0.93 respectively, this retrieval system has been able to obtain high performance and validity.

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이미지 평가를 위한 픽셀 변화량과 포화 인지의 구조적 유사도 기법 (Structural Similarity Index for Image Assessment Using Pixel Difference and Saturation Awareness)

  • 정지수;김영진
    • 정보과학회 논문지
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    • 제41권10호
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    • pp.847-858
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    • 2014
  • 지금까지 최적의 인간 시각 만족을 위한 이미지 평가 기법 또는 도구 연구가 많이 이루어져 오고 있는데 SSIM(Structural SIMilarity) 및 이의 개선 기법들이 그 대표적인 예이다. 하지만 이들 기법은 여전히 다양한 이미지 종류 및 이미지 왜곡 종류에 대해 견실하게 대응하지 못하는 한계를 보이며 인간 시각 만족과의 괴리가 크게 존재하고 있다. 이 논문에서는 SSIM 및 개선된 SSIM 기법을 대상으로 집중적인 이미지 평가를 수행하였으며 각각의 함수에서의 관측된 이상 동작 내용에 대해서 원인을 분석하고 이를 보완 및 개선하는 새로운 이미지 평가 기법을 제시한다. 또, 기법에 대한 다양한 이미지 평가 실험을 통해서 제안 기법이 SSIM과 이의 기존 개선 기법보다 여러 이미지 종류와 왜곡 종류에 대해서 인간 시각 만족을 견실하고 일관성 있게 효과적으로 표현하고 있음을 보인다.

대학생의 감성과 선호하는 주거 실내공간이미지 특성에 관한 연구 (A Study on the Characteristics of Preferred Housing Interior Image and Sensibility of University Students)

  • 박지민;윤정숙;박은선
    • 한국주거학회논문집
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    • 제22권6호
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    • pp.97-106
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    • 2011
  • Due to the belief that housing for university students is uniform materialistic and non-human, a variety of needs and preferences of the residents is becoming more important. In order to more positively identify the user's emotional needs, a design that meets the needs of the resident's living space is absolutely necessary. The purpose of this study is to group the sensibility types of university students, to analyze the preferred interior image and interior design elements, and then to understand the preferred characteristics according to sensibility type. To collect the data, a survey method was used for 224 university students in Seoul and the metropolitan area. The data analysis used SPSS PC 14.0 to find the frequency, t-test, chi-square, factor analysis, and cluster analysis. The results of the analysis are as follows: First, sensibility types were segmented into four groups including 'Unique & Elegant', 'Static & Tidy', 'Warm & Comfortable', and 'Characteristic & Free'. Second, the preferred interior image was the Minimal-Dandy-Natural Image, the preferred floor_material was wood, and the preferred wall_material was marble. Third, there were different interior preferences according to each type of gender & sensibility.

오피스 실내 색채계획을 위한 이미지별 예측모델 작성 (Developing the Prediction Model for Color Design by the Image Types in the Office Interior)

  • 진은미;이진숙
    • 한국실내디자인학회논문집
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    • 제32호
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    • pp.97-104
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    • 2002
  • The purpose of this study is to suggest the prediction model for the color design by the image types in the office interior. This prediction model of the color design is for the more comfortable environment by using suitable, various colors fitted with business functions. In this research, we carried out the evaluation experiment with the variables such as the color on ceiling, wall, floor and the harmonies of color schemes. We set the prediction index through the multi-regression analysis. And the prediction model was made by these results. The design methods by the prediction model are as follows. 1) The $\ulcorner$variable$\lrcorner$ image was deeply influenced by the value and chroma and it was marked high in low value and high chroma and the harmonies of contrast and different color. 2) The $\ulcorner$comfortable$\lrcorner$ image was related to the value and chroma and it was marked high in high value and low chroma and harmonies of homogeneity and similar. 3) The $\ulcorner$warm$\lrcorner$ image was greatly influenced by the hue and the harmony of color schemes, and it was marked high in the warm colors and harmonies of homogeneity.

Simple Application Cases of Morphing Method using Geo-spatial Data

  • Lee, Ki-Won;Park, Yong-Jae
    • 대한원격탐사학회지
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    • 제24권3호
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    • pp.251-256
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    • 2008
  • Morphing method, one of classic image processing algorithms, has been used in various application fields. The motivation of this work is to investigate its applicability in consideration to geo-spatial data including airborne or space-borne images. For this purpose, the Beier and Neely morphing algorithm is tentatively implemented in the form of a prototype with user interface. As the results, this feature-based morphing with paired image sets can be used for general users: image simulation using two or more images and construction of color-blending image between source image and destination image in different types. Some simple application cases were demonstrated. This scheme is the simple and useful approach for those who want to utilize both geo-spatial data sets and airborne/space-borne image sets.

Distortion Measurement based Dynamic Packet Scheduling of Video Stream over IEEE 802.11e WLANs

  • Wu, Minghu;Chen, Rui;Zhou, Shangli;Zhu, Xiuchang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제7권11호
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    • pp.2793-2803
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    • 2013
  • In H.264, three different data partition types are used, which have unequal importance to the reconstructed video quality. To improve the performance of H.264 video streaming transmission over IEEE 802.11e Wireless Local Area Networks, a prioritization mechanism that categorizes different partition types to different priority classes according to the calculated distortion within one Group of Pictures. In the proposed scheme, video streams have been encoded based on the H.264 codec with its data partition enabled. The dynamic scheduling scheme based on Enhanced Distributed Channel Access has been configured to differentiate the data partitions according to their distortion impact and the queue utilization ratio. Simulation results show that the proposed scheme improves the received video quality by 1dB in PSNR compared with the existing Enhanced Distributed Channel Access static mapping scheme.

Character Recognition Algorithm using Accumulation Mask

  • Yoo, Suk Won
    • International Journal of Advanced Culture Technology
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    • 제6권2호
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    • pp.123-128
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    • 2018
  • Learning data is composed of 100 characters with 10 different fonts, and test data is composed of 10 characters with a new font that is not used for the learning data. In order to consider the variety of learning data with several different fonts, 10 learning masks are constructed by accumulating pixel values of same characters with 10 different fonts. This process eliminates minute difference of characters with different fonts. After finding maximum values of learning masks, test data is expanded by multiplying these maximum values to the test data. The algorithm calculates sum of differences of two corresponding pixel values of the expanded test data and the learning masks. The learning mask with the smallest value among these 10 calculated sums is selected as the result of the recognition process for the test data. The proposed algorithm can recognize various types of fonts, and the learning data can be modified easily by adding a new font. Also, the recognition process is easy to understand, and the algorithm makes satisfactory results for character recognition.

요통환자의 신체상과 생활적응에 관한 연구 (A Study on Adjustment of Daily Living and Body Image of Patients with Low Back Pain)

  • 구희서
    • 보건교육건강증진학회지
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    • 제6권1호
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    • pp.91-105
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    • 1989
  • The purpose of this study is to identify the body images of patints with low back pain and their status on adjustment of daily living. The data were collected from 11 general hospitals during Feburary 2, 1987 through May 30,1987. One hundred and ninety five subjects having physical therapy treatment because of low back pain were analyzed. For measurement of body image, 11 pairs of adjectives were used on semantic differential scale, and for measurement of adjustment of daily living, 10 items were used on a likert type scale. Results of the study are summerised as follows. 1. The average patient age were 34yeats and 62% of the patients were men. High school grade completed were 43.1% and Cause of Low Back Pain were respctively;Unknown etiology 31.8%, lifting heavy objects 27.7%, Traffic accident and injury 17.9%. Types of treatment were;medication plus physical therapy 54.9%, physical therapy only 22.6%. Average treatment duration were 24.5 months. 2. There were significant difference in the body image between before low back pain and after low back pain. The body image before low back pain were 59.89(Mean) but after low back pain were 37,24(Mean) and two groups were statistically significant (t=21.3, p<0.00l). 3. there were no significant difference in the body image between the male and female.(t=1.49, p>0.05) 4. The correlation between body image and adjustment of daily living. in both sexes showed positive correlation coefficient; male(r=0.4648, p<0.00l) female(r=0.4516, p<0.00l) respectively. It means that patients with positive body image can adjust well in daily living. 5. The relation between the body image and general variables revealed sigificant difference with occupation and age.(F=2.12 p<0.05, F=3.48 p<0.05). That is different occupation and different age groups can show different body image. In conculsion with the above results, It is my strong belief that multidisciplinary approach including the concept of body image and patient education about postural care, activities of daily living, lifting mechanics should be applied in treating and dealing with those patients.

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