• Title/Summary/Keyword: Object of interest

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Implementation of Target Object Tracking Method using Unity ML-Agent Toolkit (Unity ML-Agents Toolkit을 활용한 대상 객체 추적 머신러닝 구현)

  • Han, Seok Ho;Lee, Yong-Hwan
    • Journal of the Semiconductor & Display Technology
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    • v.21 no.3
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    • pp.110-113
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    • 2022
  • Non-playable game character plays an important role in improving the concentration of the game and the interest of the user, and recently implementation of NPC with reinforcement learning has been in the spotlight. In this paper, we estimate an AI target tracking method via reinforcement learning, and implement an AI-based tracking agency of specific target object with avoiding traps through Unity ML-Agents Toolkit. The implementation is built in Unity game engine, and simulations are conducted through a number of experiments. The experimental results show that outstanding performance of the tracking target with avoiding traps is shown with good enough results.

A Method to Detect Object of Interest from Satellite Imagery based on MSER(Maximally Stable Extremal Regions) (MSER(Maximally Stable Extremal Regions)기반 위성영상에서의 관심객체 검출기법)

  • Baek, Inhye
    • Journal of the Korea Institute of Military Science and Technology
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    • v.18 no.5
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    • pp.510-516
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    • 2015
  • This paper describes an approach to detect interesting objects using satellite images. This paper focuses on the interesting objects that have common special patterns but do not have identical shapes and sizes. The previous technologies are still insufficient for automatic finding of the interesting objects based on operation of special pattern analysis. In order to overcome the circumstances, this paper proposes a methodology to obtain the special patterns of interesting objects considering their common features and their related characteristics. This paper applies MSER(Maximally Stable Extremal Regions) for the region detection and corner detector in order to extract the features of the interesting object. This paper conducts a case study and obtains the experimental results of the case study, which is efficient in reducing processing time and efforts comparing to the previous manual searching.

Development of IoT System Based on Context Awareness to Assist the Visually Impaired

  • Song, Mi-Hwa
    • International Journal of Advanced Culture Technology
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    • v.9 no.4
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    • pp.320-328
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    • 2021
  • As the number of visually impaired people steadily increases, interest in independent walking is also increasing. However, there are various inconveniences in the independent walking of the visually impaired at present, reducing the quality of life of the visually impaired. The white cane, which is an existing walking aid for the visually impaired, has difficulty in recognizing upper obstacles and obstacles outside the effective distance. In addition, it is inconvenient to cross the street because the sound signal to help the visually impaired cross the crosswalk is lacking or damaged. These factors make it difficult for the visually impaired to walk independently. Therefore, we propose the design of an embedded system that provides traffic light recognition through object recognition technology, voice guidance using TTS, and upper obstacle recognition through ultrasonic sensors so that blind people can realize safe and high-quality independent walking.

Attention based Feature-Fusion Network for 3D Object Detection (3차원 객체 탐지를 위한 어텐션 기반 특징 융합 네트워크)

  • Sang-Hyun Ryoo;Dae-Yeol Kang;Seung-Jun Hwang;Sung-Jun Park;Joong-Hwan Baek
    • Journal of Advanced Navigation Technology
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    • v.27 no.2
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    • pp.190-196
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    • 2023
  • Recently, following the development of LIDAR technology which can detect distance from the object, the interest for LIDAR based 3D object detection network is getting higher. Previous networks generate inaccurate localization results due to spatial information loss during voxelization and downsampling. In this study, we propose an attention-based convergence method and a camera-LIDAR convergence system to acquire high-level features and high positional accuracy. First, by introducing the attention method into the Voxel-RCNN structure, which is a grid-based 3D object detection network, the multi-scale sparse 3D convolution feature is effectively fused to improve the performance of 3D object detection. Additionally, we propose the late-fusion mechanism for fusing outcomes in 3D object detection network and 2D object detection network to delete false positive. Comparative experiments with existing algorithms are performed using the KITTI data set, which is widely used in the field of autonomous driving. The proposed method showed performance improvement in both 2D object detection on BEV and 3D object detection. In particular, the precision was improved by about 0.54% for the car moderate class compared to Voxel-RCNN.

Appearance of Homo Economicus and Morals of Youth in Early Modern of Korea with reference to A Large River[Dae-Ha] (호모 이코노미쿠스의 출현과 주체적 각성의 사실성 - 김남천의 『대하(大河)』론)

  • Kim, Jongsoo
    • Cross-Cultural Studies
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    • v.35
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    • pp.79-95
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    • 2014
  • This article aims at rethinking on people of Modern styles in early modern period with reference to A Large River[Dae-Ha] written by Kim Nam-cheon at 1939. Park Sung-guoen could be called to Homo Economicus, first, have maximized of self-interest in rapid changes of Korea society with loan sharking, rising to upper class in new early modern era instead of traditional nobleman. Park Hyung-geol could be said romantic guy, second, have chased romatic love consist of three elements(love-sex-marriage). But he troubled his love affairs to his family members frustrated his will because of a bastard son. It is the model of situations, Kim Nan-cheon intended to describe, that Homo Economicus became an object of envy among people in early modern society as well as the choice has been hard in conflicting between family and lover, concretizing anachronism through history of family.

Analysis of Cafe Interior Design factors using Human Sensibility Ergonomics for Different Sex (성별에 따른 카페 인테리어 디자인 요소에 대한 감성공학적 분석)

  • Seo Hyung-Soo
    • Korean Institute of Interior Design Journal
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    • v.15 no.1 s.54
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    • pp.175-182
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    • 2006
  • The difference of sex has been an object of interest and argument in medical, psychological, social, and cognitive science fields. This study started from the question of to what extent does the difference of sex have effect on successful interior design. In strive of resolving this, an experimentation of preference in terms of cafe interior design was performed with methods of human sensibility ergonomics. As the result, the difference of sex in preference regarding calf interior design could be observed. Males have main interest in the intensity of luminance, i.e. the brightness, whereas females attach importance to both qualify of light and color. In addition, there is a tendency for males to see cafe as a public place while females recognize cafe as a place for entertainment. Taking the result of this study into consideration can lead to successful gender specific cafe interior design.

Analyzer to Identify Phrases and the Functional Roles in Sentences: Its Architectural Aspects

  • Alam, Yukiko Sasaki
    • Proceedings of the Korean Society for Language and Information Conference
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    • 2007.11a
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    • pp.67-75
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    • 2007
  • This paper presents the architectural aspects of the phrase analyzer that attempts to recognize phrases and identify the functional roles in the sentences in formal Japanese documents. Since the object of interest is a phrase, the current system, designed in an object-oriented architecture, contains the Phrase class, and makes use of the linguistic generalization about languages with Case markers that a phrase, whether a noun phrase, a verb phrase, a postposition (or preposition) phrase or a clause phrase, can be separated into the content and the function components. Without a dictionary, and drawing on the orthographic information on the words to parse, it also contains a class that identifies the types of characters, a class representing grammar, and a class playing the role of a controller. The system has a simple and intuitive structure, externally and internally, and therefore is easy to modify and extend.

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Enhancement Algorithm of Panoramic Thermal Imaging Warning System for Small Target Detection (소형 표적 탐지를 위한 파노라믹 적외선 영상 개선 알고리즘)

  • Kim, Gi-Hong;Jeon, Byeong-Gyun;Kim, Ju-Yeong;Kim, Deok-Gyu
    • Proceedings of the KIEE Conference
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    • 2003.11c
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    • pp.400-403
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    • 2003
  • This paper presents the signal processing of the panoramic thermal warning system that detects the small target such as aircraft and helicopter from afar. We develope the all round looking thermal imaging system which can scan all the way. This system acquires the panoramic images to reconstruct the IR images by revolving head of sensor typed line sensor at high speed. For detection, where the object of interest may be small, it is sometimes difficult to specify from object and background by conventional contrast enhancement methods. Therefore we use the adaptive plateau equalization algorithm each region to improve the contrast and make the hardware system which consists of the signal processing board for real-time display. We can verify the proposed method by the computer simulation and the hardware implementation.

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Development of Storytelling Program for Science Learning Utilizing Local Myths as Contents

  • Kang, Kyunghee
    • International Journal of Contents
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    • v.10 no.3
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    • pp.55-63
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    • 2014
  • Existing science education that excludes narrative thinking impedes the understanding of the context of workbook content. The object of this research is to develop a storytelling-learning program based on narrative thinking to elevate learners' interest in science and expand their inventive problem-solving abilities. Following an analysis of the current Korean curriculum, eight types of storytelling materials that utilize local content were developed for grades 7-9. The learning program used quest storytelling and was designed such that learning activities such as investigation, discussion, and experimentation were included in the process of solving each quest. Learners experienced an interest in storytelling learning resulting from participation in this storytelling-learning program. Moreover, learners demonstrated inventive problem-solving abilities in the process of completing the stories. During the process of assembling the storytelling materials, the students interacted with enthusiasm and generated ideas. The teachers indicated a positive feedback to the storytelling program as a new attempt to stimulate learners' interests. In the future, with continuous development and application, storytelling-science-learning programs that base science learning on narrative thinking are expected to be successful.

Properties of Water-Based Paint According to the Mixing Ratio of Powdered Activated Carbon (분말활성탄 혼입률에 따른 수성도료의 특성)

  • Choi, Byung-Cheol;Kyoung, In-Soo;Lee, Sang-Soo
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2020.11a
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    • pp.48-49
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    • 2020
  • Recently, as people's interest in environmental pollution increases, interest in indoor air pollution as well as outdoors is increasing. Accordingly, this study prepares functional paints by mixing powder activated carbon, which is a porous material, into aqueous paints, and examines the adsorption performance of volatile organic compounds (VOCs) and formaldehyde (HCHO). As a result of the experiment, the concentration of volatile organic compounds (VOCs) and formaldehyde (HCHO) tended to decrease as powder activated carbon was incorporated. It is believed that physical adsorption was achieved by the micropores of powdered activated carbon. However, in the adsorption test method, it is judged that the concentration was affected by the inflow of outside air as the chamber cover was opened to put the test object in the empty chamber where a certain concentration was maintained.

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