• Title/Summary/Keyword: and object location

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Infrared Signature Analysis of a Ship for Different Atmosphere Temperature and Wind Velocity (대기온도 및 풍속 변화에 따른 함정의 적외선 신호 특성 분석)

  • Choi, Jun-Hyuk;Lee, Ji-Sun;Kim, Jung-Ho;Lee, Sung-Ho;Kim, Tae-Kuk
    • Journal of the Korea Institute of Military Science and Technology
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    • v.11 no.5
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    • pp.84-91
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    • 2008
  • The spectral radiance received by a remote sensor at a given temperature and wavelength region is consisted of the self-emitted component directly from the object surface, the reflected component of the solar irradiation at the object surface, and the scattered component by the atmosphere without ever reaching the object surface. The IR image of a ship is mainly affected by location, meteorological condition(atmosphere temperature, wind direction and velocity, humidity etc.), atmospheric transmittance, solar position and ship surface temperature etc. Computer simulations for prediction of the IR signatures of ships are very useful to examine the effects of various meteorological conditions. In this paper, we have acquired the IR signature for different meteorological conditions by using two different computer programs. The numerical results show that the IR image contrast as compared to the background sea considering the atmosphere temperature and wind velocity.

A Theoretical Reconsideration of Contemporary Fashion Criticism (현대패션비평에 관한 이론적 재고)

  • Choi, Kyung Hee
    • Fashion & Textile Research Journal
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    • v.16 no.1
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    • pp.66-78
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    • 2014
  • The purpose of this study is to illuminate the location of fashion in contemporary society and to suggest a direction for fashion criticism in aesthetic$\hat{u}$cultural perspective. For this, literature researches about some of art criticism and fashion criticism theories and cultural studies related to fashion are performed. In this study, fashion criticism is defined as a linguistic analysis and interpretation about a variety of discursive networks around fashion as well as an aesthetic analysis of it. Considering this definition, an analytical framework for the contemporary fashion criticism combines Feldman's and Carney's models with Crane & Bovone's and Entwistle's sociological studies for aesthetic and cultural perspectives. At first, its aesthetic perspective shows 'Description'-'Descriptive formative features', 'Analysis'-'Locate the style' and 'Aesthetic value', 'Interpretation'- 'Interpretation of the fashion object' and 'Socio-cultural interpretation', 'Judgment'-'Critical judgment'. Then, its cultural perspective especially emphasizes 'Socio-cultural interpretation' of the 6 steps above. Socio-cultural interpretation gets tangled with the network of various cultural agents within the fashion system, producers/designers, retailers/suppliers, media/editors, consumers/spectators, and so on. In the course of the fashion system 5 analytical methods about the fashion object can be suggested and they are as follows: Analyses of texts, discourses and symbols of a fashion object, Analyses of fashion systems which produces symbolic values, Analyses of the communication of symbolic values and the disseminating processes through the media, Analyses of the attribution of symbolic values to a fashion object by consumers, and Cross-national studies of symbolic values expressed in a fashion object.

Role-Based Access Control in Object-Oriented GIS (객체지향 지리정보시스템에서의 역할 기반 접근 제어)

  • Kim, Mi-Yeon;Lee, Cheol-Min;Lee, Dong-Hoon;Moon, Chang-Joo
    • Journal of Information Technology Applications and Management
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    • v.14 no.3
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    • pp.49-77
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    • 2007
  • Role-based access control (RBAC) models are recently receiving considerable attention as a generalized approach to access control. In line with the increase in applications that deal with spatial data. an advanced RBAC model whose entities and constraints depend on the characteristics of spatial data is required. Even if some approaches have been proposed for geographic information systems. most studies focus on the location of users instead of the characteristics of spatial data. In this paper. we extend the traditional RBAC model in order to deal with the characteristics of spatial data and propose new spatial constraints. We use the object-oriented modeling based on open GIS consortium geometric model to formalize spatial objects and spatial relations such as hierarchy relation and topology relation. As a result of the formalization for spatial relations. we present spatial constraints classified according to the characteristics of each relation. We demonstrate our extended-RBAC model called OOGIS-RBAC and spatial constraints through case studies. Finally. we compare our OOGIS-RBAC model and the DAC model in the management of access control to prove the efficiency of our model.

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Analysis between elemental image size and object locations in the pickup using periodically-distributed lenslets and enhancement of computational integral imaging (주기적으로 배치된 렌즈 배열 픽업에서의 요소 영상 크기와 3차원 물체 위치와의 해석과 컴퓨터 집적 영상 복원 화질 개선 방법)

  • Yoo, Hoon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.15 no.5
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    • pp.1171-1176
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    • 2011
  • This paper describes an analysis on the relationship between elemental image size and object locations in the computational integral imaging reconstruction and in the pickup using a periodically-distributed lenslet array. A sparse sampling effect arises from a periodically-distributed lenslet array in the pickup of 3D objects. The relationship between elemental image size and object location is also reported. Based on the analysis, a method to eliminate the sparse sampling is proposed. To show the effectiveness of the proposed method, experimental results are carried out. It turns out that the theory works.

Camera Identification of DIBR-based Stereoscopic Image using Sensor Pattern Noise (센서패턴잡음을 이용한 DIBR 기반 입체영상의 카메라 판별)

  • Lee, Jun-Hee
    • Journal of the Korea Institute of Military Science and Technology
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    • v.19 no.1
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    • pp.66-75
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    • 2016
  • Stereoscopic image generated by depth image-based rendering(DIBR) for surveillance robot and camera is appropriate in a low bandwidth network. The image is very important data for the decision-making of a commander and thus its integrity has to be guaranteed. One of the methods used to detect manipulation is to check if the stereoscopic image is taken from the original camera. Sensor pattern noise(SPN) used widely for camera identification cannot be directly applied to a stereoscopic image due to the stereo warping in DIBR. To solve this problem, we find out a shifted object in the stereoscopic image and relocate the object to its orignal location in the center image. Then the similarity between SPNs extracted from the stereoscopic image and the original camera is measured only for the object area. Thus we can determine the source of the camera that was used.

Applying Transformation to the Absolutely Positioned Object in SVE (SVE에서 절대위치를 갖는 오브젝트에 변형의 적용)

  • 정동현;이창섭;송창근
    • Proceedings of the Korean Information Science Society Conference
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    • 2004.10b
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    • pp.616-618
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    • 2004
  • The Simple Virtual Environment (SVE) library is the application programming interface fur creating the virtual environment easily. Even though it has a lot of efficient features, applying transformation to absolutely positioned objects is difficult. In this paper, we designed a simple method with which it is possible to rotate the absolutely positioned object freely. To test the method, we designed a simple virtual environment. The environment is designed with people, street and building objects. To reduce time consumption of displaying high-detailed people models, we only used texture-based objects. The person objects are modeled as quadric-shape and textured with front-view images of people. To make more realistic environment, objects always change its orientation themselves following to the user location. The result and the testing environment will be demonstrated.

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Fluorescece Microscope using Total Internal Reflection for Measuring Biochip (내부 전반사 방식에 의한 바이오칩 측정 장비)

  • Bae, Soo-Jin;Kang, Uk
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.56 no.9
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    • pp.1694-1698
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    • 2007
  • This study suggests a new fluorescence microscope to observe micro-samples within fluorophore in a variety of biomedical fields including the fluorescence analysis of a biochip, such as a DNA micro-array. A fluorescence microscope is a device for irradiating light onto a micro-object, executing an excitation and fluorescence emission process. In this study, it adopts a total internal reflection fluorescence(TIRF) method to excite a whole micro-sample substrate different from an existing way which uses an evanescent wave resulting from a total internal reflection on the micro-sample surface. Suggested TIRF microscope can reduce optical noise and obtain images with higher sensitivity thus obtain precise information about the density, quantity, location, etc. of a flurophore, and can simultaneously process separate images even when plurality of fluorophores having different excitation and fluorescent wavelength ranges is distributed, thus easily obtain information about the fluorophores.

Feature extraction for part recognition system of FMC (FMC의 부품인식을 위한 형상 정보 추출에 관한 연구)

  • 김의석;정무영
    • 제어로봇시스템학회:학술대회논문집
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    • 1992.10a
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    • pp.892-895
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    • 1992
  • This paper presents a methodology for automatic feature extraction used in a vision system of FMC (flexible Manufacturing Cell). To implement a robot vision system, it is important to make a feature database for object recognition, location, and orientation. For industrial applications, it is necessary to extract feature information from CAD database since the detail information about an object is described in CAD data. Generally, CAD description is three dimensional information but single image data from camera is two dimensional information. Because of this dimensiional difference, many problems arise. Our primary concern in this study is to convert three dimensional data into two dimensional data and to extract some features from them and store them into the feature database. Secondary concern is to construct feature selecting system that can be used for part recognition in a given set of objects.

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PROFILE MANAGEMENT FOR MOVING OBJECTS

  • Kim, Jae-Chul;Lee, Seong-Ho;Park, Jong-Hyun
    • Proceedings of the KSRS Conference
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    • 2007.10a
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    • pp.81-84
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    • 2007
  • In this research, we will accomplish the investigation of the devices and data models which are used in the existing indoor and outdoor systems. Based on the investigation, we will seize the additional requirements for the integration of the legacy system and then we will propose the various methods which support the additional requirements. By applying the various methods in the heterogeneous environments, we will solve the legacy problems and propose the methods for the final goal that is to provide the seamless moving object tracking. The scope of this research is to propose the integration methods, developing the actual location tracking system model without modifying the legacy infrastructures.

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Deep-learning Sliding Window Based Object Detection and Tracking for Generating Trigger Signal of the LPR System (LPR 시스템 트리거 신호 생성을 위한 딥러닝 슬라이딩 윈도우 방식의 객체 탐지 및 추적)

  • Kim, Jinho
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.17 no.4
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    • pp.85-94
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    • 2021
  • The LPR system's trigger sensor makes problem occasionally due to the heave weight of vehicle or the obsolescence equipment. If we replace the hardware sensor to the deep-learning based software sensor in order to generate the trigger signal, LPR system maintenance would be a lot easier. In this paper we proposed the deep-learning sliding window based object detection and tracking algorithm for the LPR system's trigger signal generation. The gate passing vehicle's license plate recognition results are combined into the normal tracking algorithm to catch the position of the vehicle on the trigger line. The experimental results show that the deep learning sliding window based trigger signal generating performance was 100% for the gate passing vehicles including the 5.5% trigger signal position errors due to the minimum bounding box location errors in the vehicle detection process.