• Title/Summary/Keyword: Found object

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A Study on works converging Found objects: Focusing on how to mix the media (파운드 오브제(Found object)를 융복합한 작품연구: 매체의 활용방식을 중심으로)

  • Park, Kyungjoo
    • Journal of Digital Convergence
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    • v.19 no.4
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    • pp.227-233
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    • 2021
  • Ready-made products produced in the industrialized consumer society after the 20th century have been adopted by artists as a new material called "Found object," and are reinterpreted in a broad sense in their works. The method of giving new meaning using this creates a new paradigm that is expanded conceptually as well as expression style. After Pablo Picasso's in 1912, when the Found object was used for the first time in contemporary art, we examine the development of objects through Dadaism, Surrealism, and Pop Art, and the expression of Found objects in the late 20th century. In this study, the artists and their work are analyzed by dividing it into three types: 'Unprocessed objects', 'Transformed objects', and 'Tenant objects', depending on how the Found object is mixed in works. Through this study, I pay attention to the fact that a work incorporating a Found object not only develops the object materially, but also allows the practice of free concept art to escape from the traditional norms of art.

Effect of Object Manipulation Ability and Basic Movement Ability on Mathematical Ability of Young Children

  • Park, Ji-Hee
    • International Journal of Advanced Culture Technology
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    • v.10 no.1
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    • pp.265-273
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    • 2022
  • The aim of this study is to investigate the relationship between the object ability, basic movement ability, and mathematical ability of young children. Next, through this study, the influence of young children's object manipulation ability and basic movement ability on mathematical ability was investigated. The subjects of this study were 80 children aged 5 years old. As a research tool, the non-mobile movement and mobile movement, the basic movement development test scale, and the young children's picture-mathematical ability test scale were used. This survey was conducted from October 2018 to January 2019. For data analysis, correlation analysis and hierarchical multiple regression analysis were performed using the spss program. As a result of the study, it was found that there was a significant positive correlation between the non-mobile ability, movement ability, object manipulation ability and mathematical ability of young children. It was found that young children's ability to manipulate objects and non-movement abilities had positive effect on their mathematical abilities. The movement ability of young children had both negative and positive effects on mathematical ability, but it was not found to be statistically significant. This study is meaningful in that it investigated the effects of non-mobile movement, mobile movement ability, and object manipulation ability, which are sub-capabilities of basic movement ability, which had not been investigated so far, on the mathematical ability of young children.

ANALYSIS OF THE FLOOR PLAN DATASET WITH YOLO V5

  • MYUNGHYUN JUNG;MINJUNG GIM;SEUNGHWAN YANG
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • v.27 no.4
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    • pp.311-323
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    • 2023
  • This paper introduces the industrial problem, the solution, and the results of the research conducted with Define Inc. The client company wanted to improve the performance of an object detection model on the floor plan dataset. To solve the problem, we analyzed the operational principles, advantages, and disadvantages of the existing object detection model, identified the characteristics of the floor plan dataset, and proposed to use of YOLO v5 as an appropriate object detection model for training the dataset. We compared the performance of the existing model and the proposed model using mAP@60, and verified the object detection results with real test data, and found that the performance increase of mAP@60 was 0.08 higher with a 25% shorter inference time. We also found that the training time of the proposed YOLO v5 was 71% shorter than the existing model because it has a simpler structure. In this paper, we have shown that the object detection model for the floor plan dataset can achieve better performance while reducing the training time. We expect that it will be useful for solving other industrial problems related to object detection in the future. We also believe that this result can be extended to study object recognition in 3D floor plan dataset.

Physical Characteristics of Small Space Objects at High Orbits Based on Optical Methods

  • El-Hameed, Afaf M. Abd;Attia, Gamal F.;Abdel-Aziz, Yehia
    • Journal of Astronomy and Space Sciences
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    • v.34 no.1
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    • pp.31-35
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    • 2017
  • Optical observation is one of the most common techniques used for characterizing the physical properties of unknown objects and debris in space. This research presents measurements and properties of the new object 96019 from ground-based optical methods. Optical observations of this small object were performed using a charge-coupled device (CCD) camera and the Santel-500 telescope at the Zvenigorod Observatory. The orbital elements and physical properties of this object, such as area-to-mass ratio, have been determined. The results show that this small object has a low area-to-mass ratio, between 0.009 and $0.12m^2/kg$. The light curve of object 96019 is given: Over the time intervals, variations in brightness are analyzed and the maximum brightness was found to be 12.4 magnitudes. The observational results show that, this object brightens by about three magnitudes over a time span of three minutes. Based on these observations, the characteristics and physical properties of this object are discussed.

The effect of tool length on distance compression to the pointed object (도구의 길이가 가리키는 대상까지의 거리압축에 미치는 영향)

  • Hong, Seongkyun;Kim, ShinWoo;Li, Hyung-Chul O.
    • Korean Journal of Cognitive Science
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    • v.29 no.1
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    • pp.17-38
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    • 2018
  • The purpose of present study was to examine whether the perceived distance is compressed to different extent according to the length of the tool in the object that is not reachable even when using the tool, and whether the perceived distance is compressed according to the tool length only in the object being pointed. In Experiment 1, we found by measuring the egocentric distance that the length of the tool causes the distance to the target to be closer to that of the object placed at a far distance. In Experiment 2, we found by measuring the egocentric distance that when the operated object and the non-operated object coexisted in the visual field, the length of the tool does not affect the distance perception to the non-pointed object. In Experiment 3, we found that the tool length affects only the distance perception of the operated object by measuring the exocentric distance which is the distance between the operated object and the target in the same environment as Experiment 2. The results of present experiment suggest that the compression of the perceived distance occurs at a distance that can not be reached by using the tool, and that the compression of the perceived distance is limited to the pointed object.

Convergence Control of Moving Object using Opto-Digital Algorithm in the 3D Robot Vision System

  • Ko, Jung-Hwan;Kim, Eun-Soo
    • Journal of Information Display
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    • v.3 no.2
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    • pp.19-25
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    • 2002
  • In this paper, a new target extraction algorithm is proposed, in which the coordinates of target are obtained adaptively by using the difference image information and the optical BPEJTC(binary phase extraction joint transform correlator) with which the target object can be segmented from the input image and background noises are removed in the stereo vision system. First, the proposed algorithm extracts the target object by removing the background noises through the difference image information of the sequential left images and then controlls the pan/tilt and convergence angle of the stereo camera by using the coordinates of the target position obtained from the optical BPEJTC between the extracted target image and the input image. From some experimental results, it is found that the proposed algorithm can extract the target object from the input image with background noises and then, effectively track the target object in real time. Finally, a possibility of implementation of the adaptive stereo object tracking system by using the proposed algorithm is also suggested.

Object-Oriented Modeling Activity and Systems Development Success: Theory and Empirical Exploration (객체지향 시스템 모델링 활동과 시스템개발 성공: 이론과 실증적 탐색)

  • An, Joon-Mo
    • Asia pacific journal of information systems
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    • v.10 no.4
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    • pp.37-56
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    • 2000
  • This study proposes the concept and measurement of object-oriented systems modelling activity based on the previous research in the area of systems engineering, object-oriented modelling, and information systems. The modelling activity is related to information systems development success for exploring the correlation of each other. The object-oriented modeling activity is found to be related to user satisfaction with developed information systems, But the modeling activity does not have relation to the other successes, such as cost, development schedule, and maintenance. This study contributes to systems development modeling research, systems success, and object-oriented systems modelling research. Practically, the results support the usefulness of object-oriented modelling effort in the field in terms of user satisfaction.

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Integrated Object Representations in Visual Working Memory Examined by Change Detection and Recall Task Performance (변화탐지와 회상 과제에 기초한 시각작업기억의 통합적 객체 표상 검증)

  • Inae Lee;Joo-Seok Hyun
    • Korean Journal of Cognitive Science
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    • v.35 no.1
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    • pp.1-21
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    • 2024
  • This study investigates the characteristics of visual working memory (VWM) representations by examining two theoretical models: the integrated-object and the parallel-independent feature storage models. Experiment I involved a change detection task where participants memorized arrays of either orientation bars, colored squares, or both. In the one-feature condition, the memory array consisted of one feature (either orientations or colors), whereas the two-feature condition included both. We found no differences in change detection performance between the conditions, favoring the integrated object model over the parallel-independent feature storage model. Experiment II employed a recall task with memory arrays of isosceles triangles' orientations, colored squares, or both, and one-feature and two-feature conditions were compared for their recall performance. We found again no clear difference in recall accuracy between the conditions, but the results of analyses for memory precision and guessing responses indicated the weak object model over the strong object model. For ongoing debates surrounding VWM's representational characteristics, these findings highlight the dominance of the integrated object model over the parallel independent feature storage model.

A Study on Object-Oriented Software Design Methodology (객체지향 소프트웨어 설계법에 관한 연구)

  • Song, Young-Jae
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.27 no.8
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    • pp.1231-1238
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    • 1990
  • Though the studies on object-oriented software design which software component corresponds to phrases appearing in sentences of natural language have been going on, the design methodology has not been clearly set up yet. In this paper, the module structure of good quality was found not only by nouns that indicate class of object but also by subdividing sentences. I also suggested objected-oriented methodology observing the interdependency between objects and their relationships, and assessed the control problem of lift as an example.

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Evidence Retrieval System using Edge and Generalized Hough Transform (Edge와 GHT를 이용한 증거물 검색 시스템)

  • 황혜정;채옥삼
    • Proceedings of the IEEK Conference
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    • 2003.11a
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    • pp.233-236
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    • 2003
  • In this paper, we propose a method to search the evidence such as a knife found in the crime scene based on GHT from an image database Such objects like knives are simitar in shape. The proposed method utilizes the small shape differences among objects as much as possible to distinguish an object from similar shaped objects. It consists of the GHT based candidate generation and top-down candidate verification. For the fast generation of the candidate 1ist, the GHT operation is performed un the down sampled edge list. The test results show that it can retrieve the correct object even with a pan of object in reasonable time.

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