• Title/Summary/Keyword: weight of object

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Design and Structural Analysis of Long Pull Weight Machine (롱풀 웨이트 기구의 설계 및 구조해석)

  • 이종선;홍석주
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 2004.10a
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    • pp.73-77
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    • 2004
  • This study is object to design and structural analysis of Long Pull weight machine. Structural analysis of Long Pull weight machine using result from ANSYS code. This structural analysis results, many variables such as boundary condition, constraints and load condition were considered.

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Design and fabrication of robot′s finger 3-axis force sensor for grasping an unknown object (미지물체를 잡기 위한 로봇 손가락의 3축 힘감지센서 설계 및 제작)

  • 김갑순
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2002.05a
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    • pp.229-232
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    • 2002
  • This paper describes the development of robot's finger 3-axis force sensor that detects the Fx, Fy, and Fz simultaneously fur stably grasping an unknown object. In order to safely grasp an unknown object using the robot's fingers, they should detect the force of gripping direction and the force of gravity direction, and perform the force control using the detected farces. The 3-axis force sensor that detects the Fx, Fy, and Fz simultaneously should be used for accurately detecting the weight of an unknown object of gravity direction. Thus, in this paper, robot's finger for stably grasping an unknown object is developed. And, the 3-axis farce sensor that detects the Fx, Fy, and Fz simultaneously fur constructing a robot's finger is newly modeled using several parallel-plate beams, and is fabricated. Also, it is calibrated, and evaluated.

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Design of a Robot's Hand with Two 3-Axis Force Sensor for Grasping an Unknown Object

  • Kim, Gab-Soon
    • International Journal of Precision Engineering and Manufacturing
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    • v.4 no.3
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    • pp.12-19
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    • 2003
  • This paper describes the design of a robot's hand with two fingers for stably grasping an unknown object, and the development of a 3-axis force sensor for which is necessary to constructing the robot's fingers. In order to safely grasp an unknown object using the robot's fingers, they should measure the forces in the gripping and in the gravity directions, and control the measured forces. The 3-axis force sensor should be used for accurately measuring the weight of an unknown object in the gravity direction. Thus, in this paper, the robot's hand with two fingers for stably grasping an unknown object is designed, and the 3-axis force sensor is newly modeled and fabricated using several parallel-plate beams.

Generation Human -like Arm Motion to Catch a Moving Object

  • Kwon, Oh-Kyu;Park, Poo-Gyeon
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.161.5-161
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    • 2001
  • Robots are required to assist our activities in daily life. In this paper, we focus on arm movement to catch moving object as one of important tasks frequently performed by human. We propose an algorithm which enables a robot to perform human-like arm motion to catch a moving object. First we analyze human hand trajectories and velocity profiles to catch an object. From the experimental results, we extract some characteristics in the process of approaching and following a moving object and confirm that these are necessary to realize human-like motion. We then adopt an instantaneous optimal control method which evaluates the error and energy cost at each sampling step, and design two time-varying weight matrices to introduce human characteristic into robot motion. The matrix concerning the error is defined as a time-increasing ...

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Image segmentation algorithm based on weight information (가중치 정보를 이용한 영상 분할 알고리즘)

  • Kim, Sun-jib;Park, Byung-Joon
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.9 no.5
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    • pp.472-477
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    • 2016
  • The most important and critical to the performance of video surveillance systems is to be detected exactly how much. In order to accurately track the object must be able to accurately separate the background and object. However, the system itself rather than the human vision exactly distinguish the object and the background, to assess the situation, it is not easy. If we can accurately detect the background and the object, to be able to accurately track an object, it is possible to increase the reliability of the system, have a significant impact on the success of the entire production system. In this paper, we propose a way to distinguish more precisely the background and the object being to determine the background environment changes more accurately.

Texture Mapping using Multiperiodic Function on the Smooth Genus N Object (Multiperiodic 함수를 이용한 Smooth Genus N 객체의 텍스쳐매핑)

  • Hwa Jin Park
    • Journal of Korea Multimedia Society
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    • v.5 no.1
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    • pp.94-104
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    • 2002
  • This paper presents a new way of texture mapping on the Genus N object constructed over a single domain. The problem of 2D texture mapping is the discontinuity of texture domain at the virtual boundary on the object. Such phenomenon decreases smoothness of the object as well as looks unnatural. Especially it is necessary for the Genus N object of infinite coninuity to apply the seamless texture mapping. For seamless texture mapping, a multiperiodic function, which transforms a discontinuous function into a continuous function, is suggested. In some applications, however, the visual seams on the textured object provide more realistic appearance. Therefore, this research supports the interactive control from the discontinuity and the continuity across the boundary using the coefficient of the weight function.

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Analysis of the Middle School Students' Conceptions about Buoyancy (중학생들의 부력에 대한 개념 분석)

  • Kim, Yi-Young;Kim, Jina
    • Journal of Science Education
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    • v.36 no.2
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    • pp.369-380
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    • 2012
  • The purpose of this study was to investigate middle students' conceptions of buoyancy. The questionnaires composed of 9 items which asked the reasons for situations with buoyancy; recognized of buoyancy, the facts affecting buoyancy(bottom of the Area of the object, the shape of the object, the depth of the object in the water, amount of water, the degree of the object submerged in the water, volume of the object, weigh of the object), the relationship between the amount of replaced fluid and buoyancy. The subjects were 140 students from the Busan Area who answered questionnaires composed of 9 items which asked the reasons for situations with buoyancy. Among the 140, 132 students were selected who answered all of question in the test. The students' answer types were follow: 1. Related to the shape of the submerged object, students answered that buoynacy depended on the bottom dimensions or the surface area of the object. 2. Students confused press, water press and buoyancy, who answered buoyancy was great when the water press was great. 3. Students answered that the weight and the size of the buoyancy of the object was same in the water. 4. Students answered, gravity was smaller in the water. Students recognized the existence of buoyancy but the reason of the answer depend on their experience. Also students answered using the words that water pressure, pressure, force instead of buoyancy. Students didn't understand the factors affecting the buoyancy. Many students responded that buoyancy was changed depend on weight of object, sinking depth, shape and others. It was considered that these responses didn't understand the cause of buoyancy.

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A Study on the Moving Object Tracking System Using Multi-feature Matching (다양한 특징 매칭을 이용한 움직이는 물체 추적 시스템에 관한 연구)

  • Piao, Zai-Jun;Kim, Sun-Woo;Choi, Yeon-Sung;Park, Chun-Bae;Ha, Tae-Ryeong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.11 no.4
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    • pp.786-792
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    • 2007
  • Moving object tracking is very important in video surveillance system. This paper presents a method for tracking moving objects in an outdoor environment. To moving object tracking, first, after extract object that move yielding weight subtraction image and then use close operator to reduce the noise. And we track a object that move detected by matching the extracted multi-feature information. The proposed tracking technique can track moving object by multi-feature matching method so that exactly tracking the objects which are suddenly move or stop. The proposed tracking technique can be efficiently tracking the moving objects, because of combined with spatial position, shape and intensity informations.

XDOM: The Extensible and Light-Weight XML Object Repository (XDOM: 확장성 기반의 경량 XML객체 정보 저장소)

  • 오동일;최일환;박상원;김형주
    • Journal of KIISE:Computing Practices and Letters
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    • v.9 no.3
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    • pp.332-340
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    • 2003
  • XML is an emerging internet standard for data representation and exchange on the web. Recently, many researches on storing XML documents are in progress. Since XML documents have an implicit semantic schema, it is difficult to store XML data into a DBMS or File System. This paper introduces XDOM, object repositories for the DOM object, which stores an object for persistency support. As XDOM does not require the burdensome design of a fixed schema unlike the legacy DBMS, can store schema-less XML documents. And it can help XML applications to access the DOM object transparently from the object repositories below memory. XDOM introduced in this paper is implemented in pure Java and evaluated using experiments.

Tracking moving objects using particle filter and edge observation model (에지 관측 모델과 파티클 필터를 이용한 이동 객체 추적)

  • Kim, Hyoyeon;Kim, Kisang;Choi, Hyung-Il
    • Journal of Internet Computing and Services
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    • v.17 no.3
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    • pp.25-32
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    • 2016
  • In this paper, we propose a method that is tracking an object in real time using particle filter and the observation model with edge. First of all, the proposed method defines the object to be tracked in the initial frame. Then, it generates the edge observation model for the object to be tracked and a set of particles. It calculates the weight by comparing the average of the middle distance in eight-way of particle filter edge model with that in edge observation model, and then updates the weight with the calculated value. After resampling particles using the updated weights, it estimates the current location of the tracked object. Finally, this paper demonstrates the performance of the stable tracking through comparison with the existing method by using a number of experimental data.