• 제목/요약/키워드: Image-development

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Status and development direction of Virtual Reality Video technology (가상현실 영상 기술의 현황과 발전방향 연구)

  • Liu, Miaoyihai;Chung, Jean-Hun
    • Journal of Digital Convergence
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    • v.19 no.12
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    • pp.405-411
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    • 2021
  • Virtual reality technology is a new practical technology developed in the 20th century. In recent years, the related industry is rapidly developing due to the continuous development and improvement of virtual reality (VR) technology, and various image contents that are realistic through the use of virtual reality technology provide users with a better visual experience. In addition, it has excellent characteristics in terms of interaction and imagination, so a bright prospect can be expected in the field of video content production. This paper introduced the types of display of VR video, technology, and how users view VR video at the current stage. In addition, the difference in resolution between the past VR equipment and the current equipment was compared and analyzed, and the reason why the resolution affects the VR image was explored. Among the future development of VR video, we will present some development directions and provide convenience to people.

MLCNN-COV: A multilabel convolutional neural network-based framework to identify negative COVID medicine responses from the chemical three-dimensional conformer

  • Pranab Das;Dilwar Hussain Mazumder
    • ETRI Journal
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    • v.46 no.2
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    • pp.290-306
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    • 2024
  • To treat the novel COronaVIrus Disease (COVID), comparatively fewer medicines have been approved. Due to the global pandemic status of COVID, several medicines are being developed to treat patients. The modern COVID medicines development process has various challenges, including predicting and detecting hazardous COVID medicine responses. Moreover, correctly predicting harmful COVID medicine reactions is essential for health safety. Significant developments in computational models in medicine development can make it possible to identify adverse COVID medicine reactions. Since the beginning of the COVID pandemic, there has been significant demand for developing COVID medicines. Therefore, this paper presents the transferlearning methodology and a multilabel convolutional neural network for COVID (MLCNN-COV) medicines development model to identify negative responses of COVID medicines. For analysis, a framework is proposed with five multilabel transfer-learning models, namely, MobileNetv2, ResNet50, VGG19, DenseNet201, and Inceptionv3, and an MLCNN-COV model is designed with an image augmentation (IA) technique and validated through experiments on the image of three-dimensional chemical conformer of 17 number of COVID medicines. The RGB color channel is utilized to represent the feature of the image, and image features are extracted by employing the Convolution2D and MaxPooling2D layer. The findings of the current MLCNN-COV are promising, and it can identify individual adverse reactions of medicines, with the accuracy ranging from 88.24% to 100%, which outperformed the transfer-learning model's performance. It shows that three-dimensional conformers adequately identify negative COVID medicine responses.

Multiple Target Tracking using Target Feature Information (표적의 형상정보를 활용한 다중표적 추적 기법)

  • Kim, Sujin;Jung, Young-Hun;Kang, Jaewung;Yoon, Joohong
    • Journal of Korea Multimedia Society
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    • v.19 no.5
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    • pp.890-900
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    • 2016
  • This paper presents a multiple target tracking system using target feature information. In the proposed system, the state of target is defined as its kinematic as well as feature : the kinematic includes a location and a velocity; the feature contains the image correlation between a prior target and a current measurement. The feature information is used for generating the validation matrix and association probability of joint probabilistic data association (JPDA) algorithm. Through the Kalman filter, the target kinematic is updated. Then the tracking information is cycled by the track management algorithm. The system has been evaluated using the images obtained from Electro-Optics/ InfraRed (EO/IR) sensor. It is verified that the proposed system can reduce the complexity burden of JPDA process and can enhance the track maintenance rate.

Improvement of ISAR Autofocusing Performance Based on PGA (PGA(Phase Gradient Autofocus)기반 ISAR영상 자동초점기법 성능개선)

  • Kim, Kwan Sung;Yang, Eun Jung;Kim, Chan Hong;Park, Sung Chul
    • Journal of the Korea Institute of Military Science and Technology
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    • v.17 no.5
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    • pp.680-687
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    • 2014
  • PGA(phase gradient autofocus) has been widely used to remove motion induced phase errors in the ISAR(inverse synthetic aperture radar) imaging. The critical process for the processing time and image quality is windowing stage in PGA. In this paper, the new method to determine window size based on polynomial least square approximation is proposed. Moreover, dominant range bins are selected for efficient phase error estimation, which improve image quality and speed up convergence. The simulation results show that the proposed algorithm provides high quality ISAR images while computational efficiency of inherent PGA is retained.

Resolution Conversion of SAR Target Images Using Conditional GAN (Conditional GAN을 이용한 SAR 표적영상의 해상도 변환)

  • Park, Ji-Hoon;Seo, Seung-Mo;Choi, Yeo-Reum;Yoo, Ji Hee
    • Journal of the Korea Institute of Military Science and Technology
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    • v.24 no.1
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    • pp.12-21
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    • 2021
  • For successful automatic target recognition(ATR) with synthetic aperture radar(SAR) imagery, SAR target images of the database should have the identical or highly similar resolution with those collected from SAR sensors. However, it is time-consuming or infeasible to construct the multiple databases with different resolutions depending on the operating SAR system. In this paper, an approach for resolution conversion of SAR target images is proposed based on conditional generative adversarial network(cGAN). First, a number of pairs consisting of SAR target images with two different resolutions are obtained via SAR simulation and then used to train the cGAN model. Finally, the model generates the SAR target image whose resolution is converted from the original one. The similarity analysis is performed to validate reliability of the generated images. The cGAN model is further applied to measured MSTAR SAR target images in order to estimate its potential for real application.

The Status of the Korean Image Consulting Industry, and Related Education Programs (국내의 이미지 컨설팅 산업과 교육 현황)

  • Chung, Su-In;Shin, Sae-Young;Kim, Yoo-Jung;Kim, Young-In
    • Journal of the Korean Society of Costume
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    • v.61 no.2
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    • pp.47-59
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    • 2011
  • This study provides a systematic investigation about objective personal image consulting, tool development and image-making research by analyzing the status of the Korean image-consulting industry and education. For the research, we carried out literature surveys of books on image consulting and previous research reports. In particular, we surveyed image consulting businesses that have internet web sites, and educational institutes. The results of the survey are as follows: First, domestic image consulting businesses in Korea are investigated about 93 private companies and 4 associations. They do the image making, color consulting, and education for individuals and business. Second, professional image consulting education is carried out not only in the 93 private companies, but also in the continuing and professional studies for adults of 10 universities. Furthermore, more then 90 universities have specific academic programs related to the image consulting such as facial management, beauty coordination, cosmetology, stylists, fashion events, broadcasting stylists, and so on. Third, a typical image consulting job is the personal shoppers who assists VIP customers in department stores. Professionals and politicians have personal fashion stylists for their image making. Today, the job has expanded to public fashion therapist. Fourth, the contents of an image consulting education have appeared in similar industries and educations. These contents include fashion styles, personal color analysis, make-up, facial expressions, gestures, perfumes, accessories, etc. This study is based on research on the current Korean image-consulting industry, and will enable follow-up details to be implemented. using the basis of this study for a strategic self-image formation system.

A Study On Development of Fast Image Detector System (고속 영상 검지기 시스템 개발에 관한 연구)

  • Kim Byung Chul;Ha Dong Mun;Kim Yong Deak
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.41 no.1
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    • pp.25-32
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    • 2004
  • Nowadays image processing is very useful for some field of traffic applications. The one reason is we can construct the system in a low price, the other is the improvement of hardware processing power, it can be more fast to processing the data. In traffic field, the development of image using system is interesting issue. Because it has the advantage of price of installation and it does not obstruct traffic during the installation. In this study, 1 propose the traffic monitoring system that implement on the embedded system environment. The whole system consists of two main part, one is host controller board, the other is image processing board. The part of host controller board take charge of control the total system interface of external environment, and OSD(On screen display). The part of image processing board takes charge of image input and output using video encoder and decoder, Image classification and memory control of using FPGA, control of mouse signal. And finally, for stable operation of host controller board, uC/OS-II operating system is ported on the board.

A Study on Hair and Make-up Design -Focus on the Hair and Make-up Trend Since the 2003s- (헤어·메이크업 디자인 연구 -2003년 이후에 나타난 헤어·메이크업 경향을 중심으로-)

  • Shon, Young-Mi;Lee, Hae-Jung
    • Fashion & Textile Research Journal
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    • v.7 no.6
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    • pp.657-664
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    • 2005
  • Man's search for beauty has been going on from prehistoric time until today, and the pursuit of beauty has been progressing, regardless of the times, as a human psychological desire. In the search for beauty, hair and make-up have been subjects of interest for a long time, but the development of designs for these two aspects are still behind compared to other areas. Therefore, this study aims to propose various new and creative hair and make-up designs and to suggest their possible development. Using existing literature, this paper studied the skin color and hair color of Koreans that had been studied in earlier papers. It also aimed to understand the hair color and hair color images that are suitable for each skin color, classify the modern hair and make-up trends into different images - natural, surrealistic, minimalist, and cyber look, and also analyze them. Actual hair and make-up were also designed based on these images. To depict the natural image, the make-up was made intentionally dark as the skin color; natural materials were used for hair decoration; brown and yellow were used for the eye shadow to express the natural and romantic image of autumn, in general. Second, in the work expressing the surrealistic image, the hair was creatively decorated with a collage of various objects; yellow, green, and red eye shadows and lip expression were used to visually achieve the surrealistic fantasy look. Thirdly, in the work expressing the minimalist image, hair style with bangs without any hair decoration was used; make-up colors were minimized as well, creating a generally simple image. Finally, for the work expressing the cyber image, metallic material decoration was used on a puff-up hair style; the cyber image was emphasized through the use of graphical elements in the make-up.

Development of the Design of Korean Policewomen's Uniforms (한국(韓國) 여성(女性) 경찰복(警察服) 디자인 개발(開發))

  • Park, Jin-Young;Yang, Sook-Hi
    • Journal of Fashion Business
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    • v.5 no.1
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    • pp.117-130
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    • 2001
  • The purpose of this research focuses mainly on the establishment of: the image of the police that can be adopted to meet the demands of reality through the development of the design of policewomen's uniform in the times that require reestablishment of the image of the police; the image of the police that is appropriate for the organic structure of the society; and the image of the police that cooperate with the citizens. For background research I have considered the police and their uniforms from a theoretical point of view and have examined the process by which Korean policewomen's uniforms have changed. Actual research was carried out policewomen of Seoul Regional Police Station, was conducted and the results were utilized to figure out what the problem was. This research suggests an improvement measure by making four suits of summer and spring-and-autumn work-uniforms, and six suits of spring-andautumn and winter full-dress uniform. First the colors of work-uniforms and full-dress uniforms are not blue, which incites a feeling of coldness and stiffness, but are colors that are feminine and emit warmth---red, ivory, khaki, black, and beige. second pure, natural fiber is difficult to wash and is not an appropriate material for policewomen's uniforms when considering its cost and etc., fabrics that are a mix of synthetic fiber and natural fiber were chosen. Because mixed fabrics are cheaper and their ability to maintain shape is superior to that of natural fiber, mixed fabric is an appropriate material for policewomen's uniforms. third the feminine image of policewomen was considered; therefore, masculine image, which is rigid and strong, was avoided and the image was expressed in a serene and beautiful way. Also slim line was added to the current uniforms to emphasize feminine beauty. The conclusion of this study is that police officers in the 21st century want to be seen as the citizens cane and benevolent volunteers that live together with the citizens, not as suppressive and powerful people.

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Depth Scaling Method of DirectX-based Stereoscopic Game Image (DirectX 기반 입체 게임 영상의 깊이감 조절 기법)

  • Kim, Jin-Mo;Cho, Hyung-Je
    • Journal of Korea Game Society
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    • v.10 no.1
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    • pp.135-146
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    • 2010
  • The development of image technologies in such area as broadcasting and movies has recently increased our attention to 3D stereoscopic images. In addition, the development of stereoscopic image representation technologies in 3D contents becomes more active over time due to the representational limitations of 2D images. Without limitation to the above-mentioned area, stereoscopic image technologies have been developed and studied so that they can be widely accessed in diverse areas including medical services and education. Due to the refined production, however, required to represent a three dimensional effects and the fatigue caused by the perception of a three dimensional effects, the stereoscopic image technologies are not combined into real time systems such as games where environments change unforeseeably. In this study we design a technique to adjust the depth scaling that will enable efficient management of a three dimensional effects and to relieve fatigue through automatic view point interval adjustment in accordance with situations based on the geometrical structure of the DirectX SDK graphic pipeline. Through this, we would like to suggest a new alternative idea to activate the production of games combined with stereoscopic image technologies.