• Title/Summary/Keyword: Character Robot

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Emotional Engine Model based on Linear Dynamic Systems (선형 동적 시스템 기반의 감정 엔진 모델)

  • Ahn, Ho-Seok;Choi, Jin-Young
    • Proceedings of the KIEE Conference
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    • 2007.04a
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    • pp.213-215
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    • 2007
  • This paper introduces an emotional behavior decision model for intelligent service robots. An emotional model should make different behavior decisions according to the purpose of the robots. We propose an emotional behavior decision model which can change the character of emotional model and make different behavior decisions although the situation and environment remain the same. We defined each emotional element such as reactive dynamics, internal dynamics, emotional dynamics, and behavior dynamics by state dynamic equations. The proposed system model is a linear system. If you want to add one external stimulus or behavior, you need to add just one dimensional vector to the matrix of external stimulus or behavior dynamics. The case of removing is same. The change of reactive dynamics, internal dynamics, emotional dynamics, and behavior dynamics also follows the same procedure. We implemented the proposed emotional behavior decision model and verified its performance.

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Facial Expression Explorer for Realistic Character Animation

  • Ko, Hee-Dong;Park, Moon-Ho
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 1998.06b
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    • pp.16.1-164
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    • 1998
  • This paper describes Facial Expression Explorer to search for the components of a facial expression and to map the expression to other expressionless figures like a robot, frog, teapot, rabbit and others. In general, it is a time-consuming and laborious job to create a facial expression manually, especially when the facial expression must personify a well-known public figure or an actor. In order to extract a blending ratio from facial images automatically, the Facial Expression Explorer uses Networked Genetic Algorithm(NGA) which is a fast method for the convergence by GA. The blending ratio is often used to create facial expressions through shape blending methods by animators. With the Facial Expression Explorer a realistic facial expression can be modeled more efficiently.

Construct OCR on mobile mechanic system for android wireless dynamics and structure stabilization

  • Shih, Bih-Yaw;Chen, Chen-Yuan;Su, Wei-Lun
    • Structural Engineering and Mechanics
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    • v.42 no.5
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    • pp.747-760
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    • 2012
  • In today's online social structure, people with electronic devices or network have been closely related to whether any of the activities, work, school, etc., is related to electronic devices, intelligent robot, and network control. The best mobility and the first rich media of these products as smart phones, smart phones rise rapidly in recent years, high speed processing performance and high free way to install software, deeply loved by many business people. However, not only for smart phone business aspects of the use, but also can engage in education of the teachers or the students are learning a great help. This study construct OCR-assisted learning software written by the JAVA made, and the installation is provided by the Android mobile phone users.

The Study of Digitalization of Analog Gauge using Image Processing (이미지 처리를 이용한 아날로그 게이지 디지털화에 관한 연구)

  • Seon-Deok Kim;Cherl-O Bae;Kyung-Min Park;Jae-Hoon Jee
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.29 no.4
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    • pp.389-394
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    • 2023
  • In recent years, use of machine automation is rising in the industry. Ships also obtain machine condition information from sensor as digital information. However, on ships, crew members regularly surveil the engine room to check the condition of equipment and their information through analog gauges. This is a time-consuming and tedious process and poses safety risks to the crew while on surveillance. To address this, engine room surveillance using an autonomous mobile robot is being actively explored as a solution because it can reduce time, costs, and the safety risks for crew. Analog gauge reading using an autonomous mobile robot requires digitization for the robot to recognize the gauge value. In this study, image processing techniques were applied to achieve this. Analog gauge images were subjected to image preprocessing to remove noise and highlight their features. The center point, indicator point, minimum value and maximum value of the analog gauge were detected through image processing. Through the straight line connecting these points, the angle from the minimum value to the maximum value and the angle from the minimum value to indicator point were obtained. The obtained angle is digitized as the value currently indicated by the analog gauge through a formula. It was confirmed from the experiments that the digitization of the analog gauge using image processing was successful, indicating the equivalent current value shown by the gauge. When applied to surveillance robots, this algorithm can minimize safety risks and time and opportunity costs of crew members for engine room surveillance.

Real-time Graph Search for Space Exploration (공간 탐사를 위한 실시간 그래프 탐색)

  • Choi, Eun-Mi;Kim, In-Cheol
    • Journal of Intelligence and Information Systems
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    • v.11 no.1
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    • pp.153-167
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    • 2005
  • In this paper, we consider the problem of exploring unknown environments with a mobile robot or an autonomous character agent. Traditionally, research efforts to address the space exploration problem havefocused on the graph-based space representations and the graph search algorithms. Recently EXPLORE, one of the most efficient search algorithms, has been discovered. It traverses at most min$min(mn, d^2+m)$ edges where d is the deficiency of a edges and n is the number of edges and n is the number of vertices. In this paper, we propose DFS-RTA* and DFS-PHA*, two real-time graph search algorithms for directing an autonomous agent to explore in an unknown space. These algorithms are all built upon the simple depth-first search (DFS) like EXPLORE. However, they adopt different real-time shortest path-finding methods for fast backtracking to the latest node, RTA* and PHA*, respectively. Through some experiments using Unreal Tournament, a 3D online game environment, and KGBot, an intelligent character agent, we analyze completeness and efficiency of two algorithms.

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Development of Program Model for Enhancing Creativity through SRD Program (SRD Program을 통한 창의성 신장 프로그램 모형 개발)

  • Shin, Seung-Ki;Park, Phan-Woo;Bae, Young-Kwon
    • The Journal of the Korea Contents Association
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    • v.12 no.9
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    • pp.522-533
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    • 2012
  • In these days, most countries effort is to raise competitive people for increasing creativity. Korea also decided human character "Global Creative Person" and prepare for the future. Therefore many universities and laboratories suggest various educational model for increasing creativity. One of the educational model for increasing creativity is Computer Education. That is good at increasing creativity, especially programming education because it is a more effective education. Thus, this research suggests that program for increasing creativity through developing "SRD Program". SRD Program is for increasing creativity and it applies to Scratch Programming, Robot Programming, and Digital Kit. Furthermore, SRD Program is developed and is based on Bruner's Spiral curriculum. Therefore, this research suggests increasing diverse programs for enhancing creativity and there are expectation for raising "Global Creative Person" through SRD Program.

A Study on Chatbot Profile Images Depending on the Purpose of Use (사용 목적에 따른 챗봇의 프로필 이미지 연구)

  • Kang, Minjeong
    • The Journal of the Korea Contents Association
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    • v.18 no.12
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    • pp.118-129
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    • 2018
  • In AI chatbot service via a messenger, a profile image of the chatbot is the first thing that users see to communicate with the chatbot. This profile image not only manages an impression about the profile owner in SNS on followers, but also makes an important impression about chatbot services on users. Thus motivated, this study investigates proper profile images tailored for the types of chatbot services and users. Specifically, I reviewed the preferred images and expressions of chatbots for each purpose of chatbot service. Then, in a case study, I collected and analyzed the representative chatbot profile images for the purpose of fun and counseling. The profile images are categorized as robot, human, animal, and abstract images. Based on these categories, I surveyed the preferred profile image of the chatbot service in either the text type or image type alternatives. For the purpose of fun, in the text version, I found that both men and women preferred a human image to others. However, in the image version, men preferred woman and robot images while women preferred cute animation character and robot images. For counseling services, both men and women preferred woman and animal images most, which is similar to the results of the text version of questionnaires as well. While both genders consistently preferred real photo images, women tend to like abstract images more than men do. I expect that the results of this study would be useful to develop the proper profile images of AI chatbot for each service purpose.

A Study of Make-up Artists and Character's Special Make-up Effects in the Twentieth Century's Films (20세기 영화 특수 분장사와 캐릭터 특수 분장 연구)

  • Chang Mee-Sook;Yang Sook-Hi
    • Journal of the Korean Society of Costume
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    • v.55 no.6 s.96
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    • pp.141-158
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    • 2005
  • This study was motivated not only by the important role of the special make-up effects in films, but also by the prominent contributions created by make-up artists. The first objective was to study of Jack Pierce, Dick Smith, Tom Savini, Rick flake., and Stan Winston's impact in the most challenging and creative field of all make-up artistry. The second objective was to examine both affinities and differences in artistic styles as well as in make-up techniques through a comparative study of special make-up effects of horror and sci-fi movies in the 20th century films produced by Hollywood studios. The sci-fi films were designed to thrill the audience through the potential of futuristic ideas by fantastic special effects of futuristic creatures such as an extra-terrestrial, a mutant, a robot and a cyborg. In contrast, the horror films were designed to frighten the audience with more reliance on horrifying special effects including a vampire, a werewolf, a zombie and a psycho killer. Their features were shown in a common thread (masquerade, otherness and surrealism) as well as a number of different themes between horror and sci-fi films (transformation vs. extension, satanism vs. monstrosity, and primitivism vs. futurism).

Target Detection Based on Moment Invariants

  • Wang, Jiwu;Sugisaka, Masanori
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.677-680
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    • 2003
  • Perceptual landmarks are an effective solution for a mobile robot realizing steady and reliable long distance navigation. But the prerequisite is those landmarks must be detected and recognized robustly at a higher speed under various lighting conditions. This made image processing more complicated so that its speed and reliability can not be both satisfied at the same time. Color based target detection technique can separate target color regions from non-target color regions in an image with a faster speed, and better results were obtained only under good lighting conditions. Moreover, in the case that there are other things with a target color, we have to consider other target features to tell apart the target from them. Such thing always happens when we detect a target with its single character. On the other hand, we can generally search for only one target for each time so that we can not make use of landmarks efficiently, especially when we want to make more landmarks work together. In this paper, by making use of the moment invariants of each landmark, we can not only search specified target from separated color region but also find multi-target at the same time if necessary. This made the finite landmarks carry on more functions. Because moment invariants were easily used with some low level image processing techniques, such as color based target detection and gradient runs based target detection etc, and moment invariants are more reliable features of each target, the ratio of target detection were improved. Some necessary experiments were carried on to verify its robustness and efficiency of this method.

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A Study on Automatic Inspection Technology of Machinery Parts Based on Pattern Recognition (패턴인식에 의한 기계부품 자동검사기술에 관한 연구)

  • Cha, Bo-Nam;Roh, Chun-Su;Kang, Sung-Ki;Kim, Won-il
    • Journal of the Korean Society of Industry Convergence
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    • v.17 no.2
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    • pp.77-83
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    • 2014
  • This paper describes a new technology to develop the character recognition technology based on pattern recognition for non-contacting inspection optical lens slant or precision parts, and including external form state of lens or electronic parts for the performance verification, this development can achieve badness finding. And, establish to existing reflex data because inputting surface badness degree of scratch's standard specification condition directly, and error designed to distinguish from product more than schedule error to badness product by normalcy product within schedule extent after calculate the error comparing actuality measurement reflex data and standard reflex data mutually. Developed system to smallest 1 pixel unit though measuring is possible 1 pixel as $37{\mu}m{\times}37{\mu}m$ ($0.1369{\times}10-4mm^2$) the accuracy to $1.5{\times}10-4mm$ minutely measuring is possible performance verification and trust ability through an experiment prove.