• Title/Summary/Keyword: 사진영상

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Developing Web Contents for Rock-forming Mineral Observation under Polarizing Microscope (편광현미경을 이용한 조암광물 관찰 웹 컨텐츠 개발)

  • Lee, Chang-Zin;Park, Cheol-Mo;Ryu, Chun-Ryol
    • Journal of the Korean earth science society
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    • v.30 no.2
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    • pp.176-184
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    • 2009
  • The purpose of this study is to develop and apply the web contents about the optical characteristics of rock forming minerals. The web contents developed in this study are fundamentally made up so as to show clearly the learning objective and the teaching and learning contents, and to review one content easily and search for another content freely. In addition to the web contents, the photos and moving images of the optical characteristics of rock forming minerals cited in the middle and high school textbooks are demonstrated for the students to recognize the mineral characteristics on the screen. The analysis on the quality level and teaming effect of teaching and teaming materials based on the investigation of the MALSAM after the application of the web contents to the class, showed that most students evaluated were effective for understanding the optical characteristics of the rock-forming minerals. About 62% of the students who used the web contents were able to identify the rock-forming minerals on the thin section under the polarizing microscope.

Analysis of the Spatiotemporal Change Patterns of Greenhouse Areas Using Aerial and Satellite Imagery - A Case of Sangnam-myeon and Samrangjin-eup at Miryang - (위성영상 및 항공사진을 활용한 시설재배면적의 시공간적 변화 유형 분석 - 밀양 상남면과 삼랑진읍을 중심으로 -)

  • Jang, Min-Won;Cho, Hyun Kyung;Kim, Soo-Jin;Baek, Mi Kyung
    • Journal of The Korean Society of Agricultural Engineers
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    • v.62 no.6
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    • pp.21-31
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    • 2020
  • This study analyzed the spatio-temporal change pattern of greenhouse areas for Sangnam-myeon and Samrangjin-eup of Miryang-si in Gyeongnam, which is one of major greenhouse area. First, in order to overcome the lack of statistical data of the distribution of greenhouses, aerial and satellite images were interpreted from 1987 to 2018, and the spatial distribution of the greenhouse parcels which has continuously increased was mapped based on the digital cadastral map. Next, through the emerging hot spot tool in ArcGIS Desktop, the spatio-temporal change in transition from open-field to greenhouse cultivation was classified into 9 clusters. About 67.7% of the target area was categorized as a hot spot, and the pattern of New hot spot, which were recently converted to greenhouse parcels, covered about 34.1%. While, about 11.3% of parcels were expected to keep the existing open-field cultivation practice for a while. Overall, the greenhouse parcels have been densely developed along a river and were lately expanding even to the far neighbor. It implied that, in the future, the competition of water intake among farms would be more serious and the environmental responsibility in consideration of water quality as well as quantity would be getting strengthened due to increasing pollution loads and river intake.

WhoAmI: Personal Information Sharing Application over WiFi and WiFi Direct (WhoAmI: 와이파이와 와이파이 다이렉트 환경에서의 개인정보 공유 어플리케이션)

  • Kwak, Jun-Seok;Park, Jongmoon;Lee, Myung-Joon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.18 no.2
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    • pp.371-378
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    • 2014
  • As people are taking part in more versatile social activities, it becomes more frequent and more important for people to share personal information each other in appropriate level. Unfortunately, although the rapid spread of smart devices and advance of network technologies have brought many applications for information sharing into our hands, they do not provide effective mechanism for sharing personal information on collocated people. In this paper, we introduce an android application named WhoAmI which provides the functionality of sharing personal information on nearby users over Wi-Fi Direct as well as Wi-Fi network environment. According to the predefined access level such as business, community or friend, WhoAmI naturally provides profile information to accessible users. In addition, the information such as music, photo, movie can be effectively shared through the application.

Tag Recommendation Algorithms in Tagging System (태깅 시스템의 태그 추천 알고리즘)

  • Kim, Hyun-Woo;Lee, Kang-Pyo;Kim, Hyoung-Joo
    • Journal of KIISE:Computing Practices and Letters
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    • v.16 no.9
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    • pp.927-935
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    • 2010
  • In the era of Web 2.0, users create a number of their own Web contents. So, multimedia search becomes much more important than ever. A tag is a simple keyword which describes the Web contents including URL, pictures, and videos. Tags perform a role of descriptors of Web contents and Web metadata properly. If the number of tagged Web data increases, users are more likely to find the desired search result because the system includes the Web contents which have richer Web metadata. However, the number of users who use tags as Web metadata is relatively small. Because of the cumbersome process of adding tags, or users do not know what to add for the better accessibility from the public. Given situation, tag recommendation, which helps the process of adding tags, has been studied to solve these problems. When a user adds some Web contents, the tag recommendation system recommends relevant tags for the Web contents to the use, and the user selects recommended tags. We analyze and categorize various tag recommendation algorithms in tagging system.

Design of Face Recognition Algorithm based Optimized pRBFNNs Using Three-dimensional Scanner (최적 pRBFNNs 패턴분류기 기반 3차원 스캐너를 이용한 얼굴인식 알고리즘 설계)

  • Ma, Chang-Min;Yoo, Sung-Hoon;Oh, Sung-Kwun
    • Journal of the Korean Institute of Intelligent Systems
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    • v.22 no.6
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    • pp.748-753
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    • 2012
  • In this paper, Face recognition algorithm is designed based on optimized pRBFNNs pattern classifier using three-dimensional scanner. Generally two-dimensional image-based face recognition system enables us to extract the facial features using gray-level of images. The environmental variation parameters such as natural sunlight, artificial light and face pose lead to the deterioration of the performance of the system. In this paper, the proposed face recognition algorithm is designed by using three-dimensional scanner to overcome the drawback of two-dimensional face recognition system. First face shape is scanned using three-dimensional scanner and then the pose of scanned face is converted to front image through pose compensation process. Secondly, data with face depth is extracted using point signature method. Finally, the recognition performance is confirmed by using the optimized pRBFNNs for solving high-dimensional pattern recognition problems.

A Study on the Asphalt Road Boundary Extraction Using Shadow Effect Removal (그림자영향 소거를 통한 아스팔트 도로 경계추출에 관한 연구)

  • Yun Kong-Hyun
    • Korean Journal of Remote Sensing
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    • v.22 no.2
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    • pp.123-129
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    • 2006
  • High-resolution aerial color image offers great possibilities for geometric and semantic information for spatial data generation. However, shadow casts by buildings and trees in high-density urban areas obscure much of the information in the image giving rise to potentially inaccurate classification and inexact feature extraction. Though many researches have been implemented for solving shadow casts, few studies have been carried out about the extraction of features hindered by shadows from aerial color images in urban areas. This paper presents a asphalt road boundary extraction technique that combines information from aerial color image and LIDAR (LIght Detection And Ranging) data. The following steps have been performed to remove shadow effects and to extract road boundary from the image. First, the shadow regions of the aerial color image are precisely located using LEAR DSM (Digital Surface Model) and solar positions. Second, shadow regions assumed as road are corrected by shadow path reconstruction algorithms. After that, asphalt road boundary extraction is implemented by segmentation and edge detection. Finally, asphalt road boundary lines are extracted as vector data by vectorization technique. The experimental results showed that this approach was effective and great potential advantages.

Antecedents of Users' Intentions to Give Personal Identification Information and Privacy-Related Information in Social Media (소셜 미디어에서 개인 식별 정보와 사생활 정보 공유 의지에 영향을 미치는 요인)

  • Kim, Byoungsoo;Kim, Daekil
    • Journal of Digital Convergence
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    • v.17 no.11
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    • pp.127-136
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    • 2019
  • In the social media, information that users share with service providers can be divided into personal identification information such as gender and age and privacy-related information such as photos and comments. However, previous works on IS and service management have shed relatively little light on the difference of information-sharing decisions depending on the type of information. This study examines information-sharing decisions by separating the two types of information. A structural equation modeling method is used to test the research model based on a sample of 350 Facebook in South Korea. Analysis results show that self-expression, trust, and perceived security had a significant positive effect on both user's intentions to give personal identification information and their intentions to give privacy-related information. However, privacy concerns negatively affected their intentions to give personal identification and intention to give privacy-related information. The analysis results confirm that there was no difference between decision-making processes about sharing personal identification information and ones about sharing privacy-related information.

Technological trend of VR/AR maintenance training and API Implementation Example based on Unity Engine (VR/AR 정비교육의 기술동향과 유니티 엔진기반의 API 구현사례)

  • Lee, Jee Sung;Kim, Byung Min;Choi, Kyu Hwa;Nam, Tae Hyun;Lim, Chang Joo
    • Journal of the Korean Society for Computer Game
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    • v.31 no.4
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    • pp.111-119
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    • 2018
  • National agencies and corporations are making a lot of efforts to educate mechanics from high school to university and enterprise training center to train as skilled mechanic. but the theoretical training using textbooks and the training using equipment not used in the field did not provide proper maintenance training. And education using special equipment or assuming dangerous situation was very dangerous, so we were carrying out education with video or photo. In recent, there have been a number of cases in which effective training simulations have been researched and developed in order to experience situations and solve problems safely through simulation from simple maintenance to special maintenance by combining VR and AR. This paper describes the comparative study of the existing APIs such as Danuri VR, DisTi Engine and Remote AR for general purpose AR/VR contents. We also proposed a AR/VR API based on Unity 3D Engine for AR/VR maintenance contents. The API can be used for maintenance contents developers efficiently.

Application of object detection algorithm for psychological analysis of children's drawing (아동 그림 심리분석을 위한 인공지능 기반 객체 탐지 알고리즘 응용)

  • Yim, Jiyeon;Lee, Seong-Oak;Kim, Kyoung-Pyo;Yu, Yonggyun
    • Journal of Korea Society of Industrial Information Systems
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    • v.26 no.5
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    • pp.1-9
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    • 2021
  • Children's drawings are widely used in the diagnosis of children's psychology as a means of expressing inner feelings. This paper proposes a children's drawings-based object detection algorithm applicable to children's psychology analysis. First, the sketch area from the picture was extracted and the data labeling process was also performed. Then, we trained and evaluated a Faster R-CNN based object detection model using the labeled datasets. Based on the detection results, information about the drawing's area, position, or color histogram is calculated to analyze primitive information about the drawings quickly and easily. The results of this paper show that Artificial Intelligence-based object detection algorithms were helpful in terms of psychological analysis using children's drawings.

Convergence Study on the Three-dimensional Educational Model of the Functional Anatomy of Facial Muscles Based on Cadaveric Data (카데바 자료를 이용한 얼굴근육의 해부학적 기능 학습을 위한 삼차원 교육 콘텐츠 제작과 관련된 융합 연구)

  • Lee, Jae-Gi
    • Journal of the Korea Convergence Society
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    • v.12 no.9
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    • pp.57-63
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    • 2021
  • This study dissected and three-dimensionally (3D) scanned the facial muscles of Korean adult cadavers, created a three-dimensional model with realistic facial muscle shapes, and reproduced facial expressions to provide educational materials to allow the 3D observation of the complex movements of cadaver facial muscles. Using the cadavers' anatomical photo data, 3D modeling of facial muscles was performed. We produced models describing four different expressions, namely sad, happy, surprised, and angry. We confirmed the complex action of the 3D cadaver facial muscles when making various facial expressions. Although the results of this study cannot confirm the individual functions of facial muscles quantitatively, we were able to observe the realistic shape of the cadavers' facial muscles, and produce models that would show different expressions depending on the actions performed. The data from this study may be used as educational materials when studying the anatomy of facial muscles.