• 제목/요약/키워드: Continuous Object

검색결과 400건 처리시간 0.028초

자동차용 스프링 성형용 CAM의 성형설계자동화 프로그램 개발 (A study on programming Development Forming Design Automated of CAM for Spring using Car)

  • 박철우;이주현;김영호
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2005년도 춘계학술대회 논문집
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    • pp.1353-1357
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    • 2005
  • A CAM program for forming design Automated of CAM for Spring using car was developed in this study. This program was written in AUTO-LISP on the AUTO-CAD system with a personal. An approach to the system is based on the kinemateic of the object function. We make a determination of an cam programming. A cam spline is continuous in displacement, velocity and acceleration. The best cam curve is obtained by changing the kinemateic of the object function. The result has improved all characteristics such as velocity, acceleration and displacement compared with that of the modified cycloid curve.

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분산 환경에서 CM 스트림 인터페이스를 지원하는 계산 객체의 설계 및 구현 방안 연구 (A Study on the Design an Implementation Method of Computational Object Supporting CM Stream Interface in the Distributed Environment)

  • 송병권;진명숙;김건웅
    • 한국정보처리학회논문지
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    • 제7권6호
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    • pp.1785-1794
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    • 2000
  • This paper presents a computational object model supporting CM(Continuous Media) stream interfaces including QoS(Quality of Service) required in the distributed application method for the proposed stream interface including QoS. A stream interface consists of a data channel and a control channel. In this paper, the CORBA supporting communication channel is used as the control channel and various transport protocols can be used as the dta channel of the stream interface. Also, specifications of the application QoS are included in stream interface specification. In implementation, FIFO queues and timers are used to support transmission rate, delay and jitter control mechanisms of he stream interface.

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쾌속조형 원리를 이용한 대형 모델의 제작 (Fabrication of a Large Object by Rapid Prototyping Technics)

  • 최홍석
    • 한국군사과학기술학회지
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    • 제10권3호
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    • pp.120-128
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    • 2007
  • In order to reduce the lead-time and cost, the technology of rapid prototyping(RP) has been widely used. This paper describes the methodology to fabricate a large object by using the principle of rapid prototyping. By laminating thick and sloping polystyrene foam plates, we can make the large model which has three dimensional, continuous surfaces faster and easier than conventional processes. Estimated error was much smaller than other RP products which have stepped effect. For accuracy improvement and post processing, machined metal plates are added between the thick plates. To keep the continuity of surface and strengthen the model, pilot holes and guide rods are applied. By the methodology described in this paper, a missile body with flush air intake was fabricated.

CW 레이저 스페클 사진법에 의한 스트레인 측정에 관한 연구 (A Study of Strain measurement by continuous wave Laser speckle photography)

  • 김경석;김충원;이승건
    • 한국정밀공학회지
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    • 제7권2호
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    • pp.65-73
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    • 1990
  • Speckle photography is a simple non-contacting method for analysing surface displacement. In its basic form, the object to be studied is illuminated with a beam of laser light from any convenient direction, and a double exposure photography of the surface recorded on the fine-grain film, the object is undergone the displacement to be measured between exposures. Like this, it allows the strain field to be evaluated in two dimensions. A direct experimental comparison of speckle photography with theoretical value on a notched tensile test specimen showed that serious errors could, however, occur due to local surface tilting and due to aberra- tions of the imaging lens. Methods of minimising these effects and those of the speckle de-correlation which occurs by the various conditions are discussed.

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Video Saliency Detection Using Bi-directional LSTM

  • Chi, Yang;Li, Jinjiang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제14권6호
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    • pp.2444-2463
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    • 2020
  • Significant detection of video can more rationally allocate computing resources and reduce the amount of computation to improve accuracy. Deep learning can extract the edge features of the image, providing technical support for video saliency. This paper proposes a new detection method. We combine the Convolutional Neural Network (CNN) and the Deep Bidirectional LSTM Network (DB-LSTM) to learn the spatio-temporal features by exploring the object motion information and object motion information to generate video. A continuous frame of significant images. We also analyzed the sample database and found that human attention and significant conversion are time-dependent, so we also considered the significance detection of video cross-frame. Finally, experiments show that our method is superior to other advanced methods.

UDF 기반 이동객체 질의 처리 설계 및 구현 (Design of Moving Object Query Processing Based on UDF)

  • 유기현;양평우;남광우
    • 정보처리학회논문지:소프트웨어 및 데이터공학
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    • 제6권2호
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    • pp.85-90
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    • 2017
  • 최근 모바일 컴퓨팅 환경의 발달로 다양한 모바일 장비들이 보급되고 있다. 특히 GPS가 탑재된 모바일 장비들의 보급이 활발해지면서 위치정보를 이용한 다양한 응용서비스들이 생겨나고 있다. 이 논문에서는 연속적인 시간에서 획득한 이동객체 위치 정보들의 집합, 즉 이동객체의 궤적을 저장, 관리하기 위한 시스템 모델 및 대용량 이동객체 데이터를 빠르게 질의할 수 있는 UDF (User-Defined Functions) 기반 궤적 인덱스 기법과 질의 선 실체화 테이블 기법을 제안하고 실험을 통해 각 기법들의 성능을 비교 평가한다. 실험에서 질의 선 실체화 테이블 기법이 UDF 기반 궤적 인덱스 기법보다 실행시간에서 약 1.2배 빠른 결과를 보였다.

열화상 이미지를 이용한 배전 설비 검출 및 진단 (Detection and Diagnosis of Power Distribution Supply Facilities Using Thermal Images)

  • 김주식;최규남;이형근;강성우
    • 대한안전경영과학회지
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    • 제22권1호
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    • pp.1-8
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    • 2020
  • Maintenance of power distribution facilities is a significant subject in the power supplies. Fault caused by deterioration in power distribution facilities may damage the entire power distribution system. However, current methods of diagnosing power distribution facilities have been manually diagnosed by the human inspector, resulting in continuous pole accidents. In order to improve the existing diagnostic methods, a thermal image analysis model is proposed in this work. Using a thermal image technique in diagnosis field is emerging in the various engineering field due to its non-contact, safe, and highly reliable energy detection technology. Deep learning object detection algorithms are trained with thermal images of a power distribution facility in order to automatically analyze its irregular energy status, hereby efficiently preventing fault of the system. The detected object is diagnosed through a thermal intensity area analysis. The proposed model in this work resulted 82% of accuracy of detecting an actual distribution system by analyzing more than 16,000 images of its thermal images.

투시적 깊이를 활용한 중첩된 객체의 관계추적 (Relation Tracking of Occluded objects using a Perspective Depth)

  • 박화진
    • 디지털콘텐츠학회 논문지
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    • 제16권6호
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    • pp.901-908
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    • 2015
  • 스토킹과 같은 장시간 동안의 이상행위를 추적하기 위해선 네트워크로 연결된 다중 CCTV환경하에서 객체간의 관계를 지속적으로 추적하는 시스템이 매우 필요하다. 그러나 추적과정에서 자주 발생하는 객체의 겹침문제가 해결되지 않는다면 객체 추적이 중단되거나 다른 객체로 대체되는 등의 치명적인 오류가 발생할 가능성이 농후하다. 본 연구는 기 설치된 CCTV를 최대한 활용하기 위해 투시적 투영깊이 및 객체특성을 활용하여 겹침문제를 해결함으로써 중첩된 객체 관계를 지속적으로 추적가능하게 한다. 객체간 겹침문제 뿐만 아니라 배경에 포함된 객체 즉 벽이나 기둥 등의 객체와의 겹침문제도 함께 다룬다.

객체지향 프로그램 슬라이싱에 관한 연구 (A Study on the Object-Orient Program Slicing)

  • 방극인;박영옥;이준
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2002년도 춘계종합학술대회
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    • pp.461-465
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    • 2002
  • 일반적인 소프트웨어 시스템은 새로운 요구와 오류의 발견으로 인해 계속적인 개발과 확장 수정이 요구되며, 어떤 프로그램에 특정 명령문의 변수에 대한 관련 명령문을 찾고 싶을 때 프로그래머는 입력자료의 값에 대해 프로그램의 실행 궤도 추적을 통해 프로그램을 분석한다. 그러므로 본 논문은 기존의 프로그램 슬라이싱 방법에 객체지향 프로그램 슬라이싱을 적용하여 프로그램의 실행 궤도를 통하여 객체지향 그래프와 슬라이싱의 알고리즘을 보인다. 객체지향 프로그램 종속성 그래프는 클래스 종속성 그래프와 클래스 계층구조 그래프로 구성된다. 여기에 제안된 알고리즘은 쉽게 확장이 가능하며 프로그램이 점진적으로 개발되는 경우에 유리하게 사용될 수 있다.

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Radar-based Security System: Implementation for Cluttered Environment

  • Lee, Tae-Yun;Skvortsov, Vladimir;Ka, Min-Ho
    • 전기전자학회논문지
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    • 제19권2호
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    • pp.160-167
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    • 2015
  • We present an experimental implementation of the inexpensive microwave security sensor that can detect both static and slowly moving objects in cluttered environment. The prototype consists of a frequency-modulated continuous wave radar sensor, control board or computer and software. The prototype was tested in a cluttered indoor environment. In case of intrusion or change of environment the sensor will give an alarm, determine the location of new object, change in its location and can detect a slowly moving target. To make a low-cost unit we use commercially available automotive radar and own signal processing techniques for object detection and tracking. The intruder detection is based on a comparison between current 'image' in memory and 'no-intrusion' reference image. The main challenge is to develop a reliable technique for detection of a relatively low-magnitude object signals hidden in multipath clutter echo signals. Various experimental measurements and computations have shown the feasibility and performance of the system.