• Title/Summary/Keyword: Look Development

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Design Development of Shirts in Outdoor-Wear for New Senior Women's Using 3D Simulation Software - CLO 3D - (뉴 시니어 여성을 위한 아웃도어 웨어 디자인 개발 - CLO 3D를 활용한 여름용 상의 디자인 -)

  • Ji, Kyoungha;Choi, Yoonmi
    • Journal of the Korean Society of Costume
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    • v.65 no.5
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    • pp.62-73
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    • 2015
  • The aim of this research is to propose the final shirt design modified for new senior women that fulfills their emotional and physical needs. The modifications were based on the results of in-depth interviews and literature search, and the study was conducted in order to understand the desires and preferences of senior women, as consumption of outdoor-wear by the group continues to increase. To develop the design of outdoor-wear that satisfies the physical and emotional qualities and preference of the new senior women, six different designs with lines, combined materials, as well as materials that were layered, pleated and draped were proposed using virtual-dressing simulation software. Then, the modified designs were derived from the six original designs by reflecting the opinions collected in the in-depth interviews with eleven women in their 50s. The responses in the interviewed showed a preference for lines, pleats and layers, as these features made the clothes look trendy, gave it a slender-look, and improved the body shape of the women. As the color is the critical factor for outdoor-wear, there was an overwhelming preference for primary colors by the women, which was in contrast to their color preference in general clothes. A sleeve design modification was proposed to convert the half-sleeves to 3/4-long sleeves in order to account for changes in body temperature at menopause, and to satisfy the aesthetic needs for covering wrinkles. Research of new senior outdoor-wear designs will help segment and differentiate strategies for the increasingly fierce competing outdoor market, as well as l provide directions in the design creation process using the simulation of 3D virtual model.

A Study on the Linkage and Convergence of Academic Information Services in Science and Technology (과학기술 학술정보서비스의 연계 및 융합에 관한 연구)

  • Kim, Dou-Gyun;Choi, Hee-Seok;Lee, Hyejin;Hwang, Yun-Young;Kwak, Seung-Jin
    • Journal of the Korean Society for Library and Information Science
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    • v.53 no.4
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    • pp.341-359
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    • 2019
  • To improve research productivity, it is important to acquire up-to-date information quickly. To this end, researchers seek information resources through various channels and methods and utilize them in their research and development processes. The Korea Institute of Science and Technology Information (KISTI) has developed a platform for integrated scientific and scientific information service called ScienceOn to provide specialized information, infrastructure resources, industry and technology analysis resources in one place to support the research and information ecosystem. Through this process, accessibility and usability are enhanced through the connection and convergence of various information and services. In this study, we look at recent R&D trends in scientific technology academic information integration services and recommended packaging services that can be utilized in batches according to the purpose of use. We look forward to improving national R&D productivity by strengthening the linkage and convergence of scientific and technological information.

A Study on the Potential of Utilizing Sensible Media for Dance in 5G Network

  • Chang, So-jung
    • International Journal of Advanced Culture Technology
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    • v.7 no.3
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    • pp.111-115
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    • 2019
  • A 5G is 20 times faster than 4G. It also has hyper-connectivity, low latency merit and boundless potentials for medical education, transportation, entertainment and so on. In accordance with this, it is time to quickly look over on the utilization plan for 5G and sensible media in dance field, deal with the issue and its utilization. First of all, this study will review potential of 5G and sensible media in dance and its development plan. It seems like dance is able to communicate in a three-dimensional way. Utilizing sensible media can contribute to inform people of dance, and increase fun and interest which will make three-dimensional mutual communication. Also, in 5G environment, one can select whatever one wants in his or her viewpoint when utilizing sensible media such as VR, AR, hologram and so on. Supposing in a case of dancers and judges, it is possible for them to hire their own style of dancers in their countries. So, both the dancer and the judges have the positive merits. Third, streaming is possible without any installation, buffering is reduced. At the same time high-definition of media is allowed. This allowed collaborated performance of celebrities in dance and it also increased concentration and engagement. Dance field should acknowledge 5G sensible media, look for systemic and detailed method and disseminate and spread professional training and performance. In dance, testing fast developing sensible media due to 5G network, produce systemic dance training environment with various try is required and an effort for the performance situations in which advanced 5G sensible media is used.

Development of an Improved Geometric Path Tracking Algorithm with Real Time Image Processing Methods (실시간 이미지 처리 방법을 이용한 개선된 차선 인식 경로 추종 알고리즘 개발)

  • Seo, Eunbin;Lee, Seunggi;Yeo, Hoyeong;Shin, Gwanjun;Choi, Gyeungho;Lim, Yongseob
    • Journal of Auto-vehicle Safety Association
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    • v.13 no.2
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    • pp.35-41
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    • 2021
  • In this study, improved path tracking control algorithm based on pure pursuit algorithm is newly proposed by using improved lane detection algorithm through real time post-processing with interpolation methodology. Since the original pure pursuit works well only at speeds below 20 km/h, the look-ahead distance is implemented as a sigmoid function to work well at an average speed of 45 km/h to improve tracking performance. In addition, a smoothing filter was added to reduce the steering angle vibration of the original algorithm, and the stability of the steering angle was improved. The post-processing algorithm presented has implemented more robust lane recognition system using real-time pre/post processing method with deep learning and estimated interpolation. Real time processing is more cost-effective than the method using lots of computing resources and building abundant datasets for improving the performance of deep learning networks. Therefore, this paper also presents improved lane detection performance by using the final results with naive computer vision codes and pre/post processing. Firstly, the pre-processing was newly designed for real-time processing and robust recognition performance of augmentation. Secondly, the post-processing was designed to detect lanes by receiving the segmentation results based on the estimated interpolation in consideration of the properties of the continuous lanes. Consequently, experimental results by utilizing driving guidance line information from processing parts show that the improved lane detection algorithm is effective to minimize the lateral offset error in the diverse maneuvering roads.

Suggetion of Conceptual Model for Self-Expression Design Formative Creation Process for Leading Design (디자인 트렌드 선도를 위한 자기표현적 디자인 조형창작 프로세스 개념모델 제안)

  • Bae, Eun-Joon
    • The Journal of the Korea Contents Association
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    • v.22 no.1
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    • pp.148-161
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    • 2022
  • Korea's design developed closely related to economic growth and plays a key role in material growth, wealth growth, and consumption promotion today. Of course, it is true that Korea's design level has grown significantly, but it has not reached a trend-leading level. Behind this, it is thought that one of the reasons behind this is that most design companies are biased towards trend research and benchmarking from a supplier perspective, resulting in the creation of design sculptures. If you look at the examples that lead the world's design trends, you can see that their subjective thinking from the author's point of view accounts for a significant portion of design sculpture creation. Through an in-depth interview with designers and artists at both extremes of the spectrum of thought, I want to look at examples of self-expression design development and get implications for suggesting conceptual models of self-expression design sculpture. Through this, a conceptual model was proposed, which is organized into a five-step design creation process in which balanced thinking is achieved by combining the thinking system and process according to the writer's point of view with the majority of design creation dominated by supplier perspective.

Exploring the Formal Language of Contemporary Meticulous Figure Painting

  • Wan Guo Long
    • International Journal of Advanced Culture Technology
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    • v.11 no.1
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    • pp.212-220
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    • 2023
  • The meticulous figure painting is one of the wonders of traditional Chinese painting and has blossomed in art history with its unique and interesting style. The period from the Warring States period to the Song and Yuan dynasties was a glorious period in its history, after which it tended to decline due to changes in painting materials and many socio-historical reasons. The extensive cultural exchanges in the world today, the penetration of Western values and the expansion of information technology have brought a huge impact on Chinese meticulous figure painting, which has developed an active way of thinking and expression after absorbing certain elements of Western culture and thought on the basis of inherited tradition. Contemporary Realistic Figure painters continue to explore new developments in meticulous figure painting in the contemporary context, and give contemporary meticulous figure painting a new cultural and ideological connotation, forming a new look that meets the requirements of the times, with richer and more lively content, subject matter and formal language. Traditional meticulous figure painting is characterised by a highly refined use of line and coloring composition. Contemporary meticulous figure painting focuses on the use of purely formal language and the expression of the personality of the creative subject, with a new outlook on the world of painting. In the contemporary multicultural context, new formal language and methods of expression are constantly being explored to create a new look. In the process of development, contemporary meticulous figure painting has merged the best qualities of traditional and contemporary culture, making it an art with a subtle language, rich in meaning and with the charm of the times and oriental characteristics. The author in the form of contemporary fine brushwork figure painting language as the research object, explore new form of fine brushwork figure painting, and in the contemporary society and multicultural context factors. Innovation, enrich and develop new forms of art language of contemporary social form and aesthetic temperament and interest.

Development of Link Budget Model and Simulator for Telemetry System of Small Launch Vehicle (소형 발사체 원격측정시스템을 위한 링크 버짓 모델 및 시뮬레이터 개발)

  • TaeckKeun Oh;You-Sang Lee;Dae-Hyun Lee;Onsoo Lee
    • Journal of Advanced Navigation Technology
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    • v.28 no.3
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    • pp.278-287
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    • 2024
  • In this paper, telemetry link budget model for small launch vehicle is proposed, and telemetry link budget simulator is implemented. The proposed link budget model consist of geometry model and propagation loss model. The geometry model is calculation of look angle between ground station and small launch vehicle. The propagation loss model consist of free space loss, polarization loss, and de-pointing loss which are appropriate to the small launch vehicle flight environment. The proposed propagation loss model can be calculate propagation loss without complex calculation of propagation environments. The link budget simulator is implemented in MATLAB. The simulator calculate look angle, free space loss, polarization loss parameter, de-pointing loss and received signal level in ground station by using position of ground station, routing of small launch vehicle, 3-D radiation patterns of antennas.

Development of YOLO-based apple quality sorter

  • Donggun Lee;Jooseon Oh;Youngtae Choi;Donggeon Lee;Hongjeong Lee;Sung-Bo Shim;Yushin Ha
    • Korean Journal of Agricultural Science
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    • v.50 no.3
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    • pp.415-424
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    • 2023
  • The task of sorting and excluding blemished apples and others that lack commercial appeal is currently performed manually by human eye sorting, which not only causes musculoskeletal disorders in workers but also requires a significant amount of time and labor. In this study, an automated apple-sorting machine was developed to prevent musculoskeletal disorders in apple production workers and to streamline the process of sorting blemished and non-marketable apples from the better quality fruit. The apple-sorting machine is composed of an arm-rest, a main body, and a height-adjustable part, and uses object detection through a machine learning technology called 'You Only Look Once (YOLO)' to sort the apples. The machine was initially trained using apple image data, RoboFlow, and Google Colab, and the resulting images were analyzed using Jetson Nano. An algorithm was developed to link the Jetson Nano outputs and the conveyor belt to classify the analyzed apple images. This apple-sorting machine can immediately sort and exclude apples with surface defects, thereby reducing the time needed to sort the fruit and, accordingly, achieving cuts in labor costs. Furthermore, the apple-sorting machine can produce uniform quality sorting with a high level of accuracy compared with the subjective judgment of manual sorting by eye. This is expected to improve the productivity of apple growing operations and increase profitability.

Approximate Dynamic Programming Based Interceptor Fire Control and Effectiveness Analysis for M-To-M Engagement (근사적 동적계획을 활용한 요격통제 및 동시교전 효과분석)

  • Lee, Changseok;Kim, Ju-Hyun;Choi, Bong Wan;Kim, Kyeongtaek
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.50 no.4
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    • pp.287-295
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    • 2022
  • As low altitude long-range artillery threat has been strengthened, the development of anti-artillery interception system to protect assets against its attacks will be kicked off. We view the defense of long-range artillery attacks as a typical dynamic weapon target assignment (DWTA) problem. DWTA is a sequential decision process in which decision making under future uncertain attacks affects the subsequent decision processes and its results. These are typical characteristics of Markov decision process (MDP) model. We formulate the problem as a MDP model to examine the assignment policy for the defender. The proximity of the capital of South Korea to North Korea border limits the computation time for its solution to a few second. Within the allowed time interval, it is impossible to compute the exact optimal solution. We apply approximate dynamic programming (ADP) approach to check if ADP approach solve the MDP model within processing time limit. We employ Shoot-Shoot-Look policy as a baseline strategy and compare it with ADP approach for three scenarios. Simulation results show that ADP approach provide better solution than the baseline strategy.

Analysis of performance changes based on the characteristics of input image data in the deep learning-based algal detection model (딥러닝 기반 조류 탐지 모형의 입력 이미지 자료 특성에 따른 성능 변화 분석)

  • Juneoh Kim;Jiwon Baek;Jongrack Kim;Jungsu Park
    • Journal of Wetlands Research
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    • v.25 no.4
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    • pp.267-273
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    • 2023
  • Algae are an important component of the ecosystem. However, the excessive growth of cyanobacteria has various harmful effects on river environments, and diatoms affect the management of water supply processes. Algal monitoring is essential for sustainable and efficient algae management. In this study, an object detection model was developed that detects and classifies images of four types of harmful cyanobacteria used for the criteria of the algae alert system, and one diatom, Synedra sp.. You Only Look Once(YOLO) v8, the latest version of the YOLO model, was used for the development of the model. The mean average precision (mAP) of the base model was analyzed as 64.4. Five models were created to increase the diversity of the input images used for model training by performing rotation, magnification, and reduction of original images. Changes in model performance were compared according to the composition of the input images. As a result of the analysis, the model that applied rotation, magnification, and reduction showed the best performance with mAP 86.5. The mAP of the model that only used image rotation, combined rotation and magnification, and combined image rotation and reduction were analyzed as 85.3, 82.3, and 83.8, respectively.