• The Journal of the Korea Contents Association
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• v.9 no.12
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• pp.86-93
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• 2009

In this paper, we propose a method that generates a sketch likely to be drawn by a human from a real image(a computer generated image or a photo image). The method can create human friendly images with pen strokes by using image processing techniques such as spatial filters. In order to create the human friendly image, first, we made the tiny unnecessary contours. Second, we made the second image by inverting the first image and performed a processing similar to the first processing. Last, we subtracted the second image from the first image and added a hatch to it. The sequence of processing enables us to generate a human friendly image with line shading, likely to be sketched by water pen compared to the past method(pencil hatching and sketch effects). Also the proposed method can represent the sketch effects more effectively with applying different hatch to the shading area of a input image.

• Korean Journal of Human Ecology
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• v.17 no.3
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• pp.501-509
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• 2008

This research intends to help local small fashion industry to outgrow its limitation, preserving and developing environment-friendly dyeing tradition in Jeju renowned for persimmon juice dyeing. The study, then, aims to develop eco-friendly golf-wear designs, with maximizing advantages of natural dyeing (with persimmon juice, indigo plant, gallnut, cochineal, turmeric, and loess) such as rot-proofness, bacteria-proofness, stench-proofness and block of ultraviolet rays. The results are as follows: first, natural fabrics such as muslin(cotton 100%), linen(linen 100%) and spandex(mixed cotton 98%, polyurethane 2%) were developed into eco-friendly ones colored with various natural dye sources. Second, four kinds of golf-wear design were developed to stand out golf wear's natural image, focused on classic, neo-minimal style. The characteristic details and design elements of sportswear were added to basic golf wear design. Therefore, it is hopeful that those designs of naturally dyed golf wear for women could be utilized for other various purposes in the future.

• Journal of the Korean Society of Clothing and Textiles
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• v.23 no.2
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• pp.296-306
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• 1999

This study reflects the aim of analyzing the fashion design connection with ecology. Ecology has been linked to human life through its changing relations with environment. In order to recover eco-system ecology-nature oriented methodology and technology oriented approach will suffice. On the modern design field Green design Recycling and Green marketing resulted in increasing rates of environment-friendly production and an effort to deliver environment-friendly corporate image. Based on above research ecological image on fashion design during the year 1990 to 1995 represents the following conclusion. In the fashion design field natural image primitive image nature -harmonious image material-recyling image culture-recycling image are proposed. In the technology field clean image and high-tech image are proposed. In the marketing field happy image harmonious image serious image and realistic image are proposed.

• Journal of Fashion Business
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• v.17 no.4
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• pp.75-89
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• 2013

In 2000s, the interest of ROHAS has been increased and the environmental problem has begun to be discussed as the environmental and global value, not the individual perspective. And the standard of value for eco-friendly awareness has been expanded to the economic category. The trend of eco-friendly fabric can be divided into 3 periods depending on the property. The period for natural fabric with visual effects(2002~2004) can be summarized as the creation of natural shape using the natural image, the interaction of cotton and the technology from the visual perspective. In the period of functional conjunction with eco-friendliness and technology(2005~2008), the eco-friendly awareness through the conjunction of technology and nature and the re-cycling, and the responsibility to the environment had been increased. In the period of sustainable development for nature and environment(2009~2011), it showed the conjunction with nature and the integration with technology and eco-friendly issues. Therefore, the characteristic of eco-friendly trend in fabric since 2000 can be said; firstly, the high-quality fabric has been developed with technological development for the functional progress. Secondly, the ethical creativity has been displayed with the development and utilization of eco-friendly recycling materials. Thirdly, the materials reflected with eco-friendly issues have emerged.

• Proceedings of the IEEK Conference
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• 2002.07b
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• pp.1161-1164
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• 2002

We propose a simple method that can recognize human emotion from monocular dance image sequences. The method only exploits the information within image sequences and does not require cumbersome attachments like sensors. This makes the method a simple, human-friendly one. Moreover, the method is more robust and efficient by taking into account the statistical property of image sequences based on PCA (Principal Component Analysis). The correct recognition rate in real-time is about 75% in a variety of experiments.

• Journal of Institute of Control, Robotics and Systems
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• v.11 no.5
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• pp.398-405
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• 2005

The intelligent robots that will be needed in the near future are human-friendly robots that are able to coexist with humans and support humans effectively. To realize this, robots need to recognize their position and posture in known environment as well as unknown environment. Moreover, it is necessary for their localization to occur naturally. It is desirable for a robot to estimate of his position by solving uncertainty for mobile robot navigation, as one of the best important problems. In this paper, we describe a method for the localization of a mobile robot using image information of a moving object. This method combines the observed position from dead-reckoning sensors and the estimated position from the images captured by a fixed camera to localize a mobile robot. Using a priori known path of a moving object in the world coordinates and a perspective camera model, we derive the geometric constraint equations which represent the relation between image frame coordinates for a moving object and the estimated robot's position. Also, the control method is proposed to estimate position and direction between the walking human and the mobile robot, and the Kalman filter scheme is used for the estimation of the mobile robot localization. And its performance is verified by the computer simulation and the experiment.

• Journal of The Korean Association of Information Education
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• v.21 no.5
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• pp.527-535
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• 2017

In this study, we analyzed the image of artificial intelligence recognized by elementary students using semantic differential scale. First, we extracted 23 pairs of image adjectives related to perception of artificial intelligence. Adjectives were classified into three types related to recognition, emotion and ability and 827 elementary students were examined. Image factors were classified into four factors: convenience, technological progress, human-friendliness, and concern. As a result, they showed a clear image that artificial intelligence is clever, new, and complex but exciting. In comparison with variables, female students, coding experience and older students thought that artificial intelligence was more human-friendly and technological progressive.

• Archives of design research
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• v.17 no.4
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• pp.233-240
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• 2004

Living in the modern age with well-developed scientific technologies, all of us are enjoying convenient lives because of 'energy'. Korea, poor in resources, is importing a large portion of its energy sources from abroad but energy consumption shows an upward tendency due to the continuing economic growth and the improvement of living conditions. The atomic energy is considered a self-reliant, alternative energy source like our country. However, it is necessary to educate the people on and publicize atomic power generation in the face of the widespread negative recognition that the atomic power plant is a hazardous facility. The study approaches to these matters with a human-friendly and environment-friendly coloring plan in the perspective of environment coloring plan. The study aims to minimize negative images of the atomic power, while highlighting its friendly and positive images so as to enhance the confidence of the people on the atomic power and to create a clean image for the atomic power. For this goal, the study examined and analyzed cases of Japanese nuclear power plants and domestic nuclear power plants, and also carried out an on-site survey in the sites in which nuclear power plants would be constructed to extract concrete colors through the analyses of their natural environment and actual conditions. The study also carried out a survey of residents in the regions to induce their participation, and reflected the survey results to the coloring plan. The study is expected to create a stable and friendly image of the nuclear power plant through materializing its environment-friendly image and remove negative recognition that the people have on the nuclear power plant. It also attempted an external environment-coloring plan a s a strategic means for positive publicity and through this, is expected to ultimately contribute to the creation of the new images of nuclear ower plants.

• Proceedings of the KIEE Conference
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• 2006.10b
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• pp.175-180
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• 2006

In this paper, we develope a type of humanoid robot which can express its emotion against human actions. To interact with human, the developed robot has several abilities to express its emotion, which are verbal communication with human through voice/image recognition, motion tracking, and facial expression using fourteen Servo Motors. The proposed humanoid robot system consists of a control board designed with AVR90S8535 to control servor motors, a framework equipped with fourteen server motors and two CCD cameras, a personal computer to monitor its operations. The results of this research illustrate that our intelligent emotional humanoid robot is very intuitive and friendly so human can interact with the robot very easily.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.835-838
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• 2003

Computer vision and natural-language dialogue play an important role in friendly human-machine interfaces for service robots. In this paper we describe an integrated face detection and face recognition system for a welfare robot, which has also been combined with the robot's speech interface. Our approach to face detection is to combine neural network (NN) and genetic algorithm (GA): ANN serves as a face filter while GA is used to search the image efficiently. When the face is detected, embedded Hidden Markov Model (EMM) is used to determine its identity. A real-time system has been created by combining the face detection and recognition techniques. When motivated by the speaker's voice commands, it takes an image from the camera, finds the face inside the image and recognizes it. Experiments on an indoor environment with complex backgrounds showed that a recognition rate of more than 88% can be achieved.