• Title/Summary/Keyword: Expected Image

Search Result 1,660, Processing Time 0.029 seconds

The Effects of Social Norms and Perceived Benefits on Purchase Intention for the Fashion Products of Social Enterprises (사회적 규범과 지각된 혜택이 사회적 기업 패션제품 구매의도에 미치는 영향)

  • Seo, Min Jeong
    • Journal of the Korean Society of Clothing and Textiles
    • /
    • v.43 no.5
    • /
    • pp.699-710
    • /
    • 2019
  • This study focuses on social norms and perceived benefits that are expected to lead to purchase fashion goods selling by social enterprises that can help guide the establishment of effective sales strategies for social enterprises. The relationships among two social norms (injunctive norms and descriptive norms), three perceived benefits (cause benefits, psychological benefits, and social image benefits), and purchase intention were investigated respectively. Data were collected via an online web survey and 11 hypotheses were statistically tested by using PLS-SEM analysis. Purchase intention toward the fashion products of social enterprises was influenced by four antecedent variables (injunctive and descriptive norms, cause and psychological benefits) excluding only social image benefits. However, descriptive norms only affected psychological benefits while injunctive norms only affected social image benefits. The findings suggest that the owners or marketers of social enterprises need to create a social atmosphere in which more consumers buy the fashion goods for social enterprises and emphasize consumers' psychological benefits that they feel mentally more comfortable by purchasing the fashion goods of social enterprises.

An image analysis system Design using Arduino sensor and feature point extraction algorithm to prevent intrusion

  • LIM, Myung-Jae;JUNG, Dong-Kun;KWON, Young-Man
    • Korean Journal of Artificial Intelligence
    • /
    • v.9 no.2
    • /
    • pp.23-28
    • /
    • 2021
  • In this paper, we studied a system that can efficiently build security management for single-person households using Arduino, ESP32-CAM and PIR sensors, and proposed an Android app with an internet connection. The ESP32-CAM is an Arduino compatible board that supports both Wi-Fi, Bluetooth, and cameras using an ESP32-based processor. The PCB on-board antenna may be used independently, and the sensitivity may be expanded by separately connecting the external antenna. This system has implemented an Arduino-based Unauthorized intrusion system that can significantly help prevent crimes in single-person households using the combination of PIR sensors, Arduino devices, and smartphones. unauthorized intrusion system, showing the connection between Arduino Uno and ESP32-CAM and with smartphone applications. Recently, if daily quarantine is underway around us and it is necessary to verify the identity of visitors, it is expected that it will help maintain a safety net if this system is applied for the purpose of facial recognition and restricting some access. This technology is widely used to verify that the characters in the two images entered into the system are the same or to determine who the characters in the images are most similar to among those previously stored in the internal database. There is an advantage that it may be implemented in a low-power, low-cost environment through image recognition, comparison, feature point extraction, and comparison.

A Study on Fashion Design Cognition Using Eye Tracking (시선 추적을 활용한 패션 디자인 인지에 관한 연구)

  • Lee, Shin-Young
    • Fashion & Textile Research Journal
    • /
    • v.23 no.3
    • /
    • pp.323-336
    • /
    • 2021
  • This study investigated the cognitive process of fashion design images through eye activity tracking. Differences in the cognitive process and gaze activity according to image elements were confirmed. The results of the study are as follows. First, a difference was found between groups in the gaze time for each section according to the model and design. Although model diversity is an important factor leading the interest of observers, the simplicity of the model was deemed more effective for observing the design. Second, the examination of the differences by segments regarding the gaze weight of the image area showed differences for each group. When a similar type of model is repeated, the proportion of face recognition decreases, and the proportion of design recognition time increases. Conversely, when the model diversity is high, the same amount of time is devoted to recognizing the model's face in all the processes. Additionally, there was a difference in the gaze activity in recognizing the same design according to the type of model. These results enabled the confirmation of the importance of the model as an image recognition factor in fashion design. In the fashion industry, it is important to find a cognitive factor that attracts and retains consumers' attention. If the design recognition effect is further maximized by finding service points to be utilized, the brand's sustainability is expected to be enhanced even in the rapidly changing fashion industry.

Autofocus Tracking System Based on Digital Holographic Microscopy and Electrically Tunable Lens

  • Kim, Ju Wan;Lee, Byeong Ha
    • Current Optics and Photonics
    • /
    • v.3 no.1
    • /
    • pp.27-32
    • /
    • 2019
  • We present an autofocus tracking system implemented by the digital refocusing of digital holographic microscopy (DHM) and the tunability of an electrically tunable lens (ETL). Once the defocusing distance of an image is calculated with the DHM, then the focal plane of the imaging system is optically tuned so that it always gives a well-focused image regardless of the object location. The accuracy of the focus is evaluated by calculating the contrast of refocused images. The DHM is performed in an off-axis holographic configuration, and the ETL performs the focal plane tuning. With this proposed system, we can easily track down the object drifting along the depth direction without using any physical scanning. In addition, the proposed system can simultaneously obtain the digital hologram and the optical image by using the RGB channels of a color camera. In our experiment, the digital hologram is obtained by using the red channel and the optical image is obtained by the blue channel of the same camera at the same time. This technique is expected to find a good application in the long-term imaging of various floating cells.

A study on the development of fashion culture products using Mugunghwa (무궁화를 활용한 패션문화상품 개발 연구)

  • Ra, Sun-Jung
    • Journal of the Korea Fashion and Costume Design Association
    • /
    • v.23 no.1
    • /
    • pp.61-70
    • /
    • 2021
  • This paper is intended to apply Mugunghwa, which is the official flower that symbolizes the country, to fashion cultural products to promote the identity and enhance the cultural value of South Korea. The purpose of this study is to increase the understanding and use of tradition. As for study methods, first, the range of uses for Mugunghwa were examined from diverse angles, second, images associated with modern senses that reflect trends were developed to create more value. Third, the role of a cultural ambassador was proposed by adding the image of Mugunghwa to fashion accessories and miscellaneous goods applicable to real life. This was carried out through theoretical and empirical studies, such as literature reviews and case study analysis, and as a result, 13 textile designs and 26 fashion cultural products were developed. It is hoped that the foregoing will enable the pursuit of new values of the image symbolizing the country and the forming a bond, and it is expected that the foregoing can provide opportunities to develop diverse national symbols, thereby enhancing the national image.

Organizational Change Readiness, Service Innovation, and Corporate Image in Improving Competitiveness: A Case Study in Indonesia

  • HUTAPEA, John Gunung;NIMRAN, Umar;IQBAL, Mohammad;HIDAYAT, Kadarisman
    • The Journal of Asian Finance, Economics and Business
    • /
    • v.8 no.3
    • /
    • pp.683-693
    • /
    • 2021
  • Shipping has become an important sector in supporting social, economic, government, defense, security, cultural and other sectors to unite separate islands and broad seas. Thus, ports automatically become an important facility in Indonesia. The purpose of this research is to test and explain the effect of Organizational readiness for change, Service Innovation, and Corporate Image on Perceived opportunity and challenge. The research model with inferential analysis uses Structural Equation Modeling (SEM) analysis with the WarpPLS approach, expected to answer the statements of problem and be able to test the desired hypothesis. The model development in this research was based on the background, statements of problem, conceptual framework and research hypotheses. The model referred to is "Complete and Comprehensive Port." Its development was carried out through studying and synthesizing various sources. The most important source is the results of literature review in the form of theoretical developments and research results, then continued with compilation. The use of Organizational Change Readiness, Service Innovation, and Corporate Image in improving Port Competitiveness is seen as one of the novelties of this research, specifically the use of the Organizational Change Readiness variable which is often used in high-flexibility companies but now used in port companies as well.

Similarity Analysis Between SAR Target Images Based on Siamese Network (Siamese 네트워크 기반 SAR 표적영상 간 유사도 분석)

  • Park, Ji-Hoon
    • Journal of the Korea Institute of Military Science and Technology
    • /
    • v.25 no.5
    • /
    • pp.462-475
    • /
    • 2022
  • Different from the field of electro-optical(EO) image analysis, there has been less interest in similarity metrics between synthetic aperture radar(SAR) target images. A reliable and objective similarity analysis for SAR target images is expected to enable the verification of the SAR measurement process or provide the guidelines of target CAD modeling that can be used for simulating realistic SAR target images. For this purpose, this paper presents a similarity analysis method based on the siamese network that quantifies the subjective assessment through the distance learning of similar and dissimilar SAR target image pairs. The proposed method is applied to MSTAR SAR target images of slightly different depression angles and the resultant metrics are compared and analyzed with qualitative evaluation. Since the image similarity is somewhat related to recognition performance, the capacity of the proposed method for target recognition is further checked experimentally with the confusion matrix.

Tongue Indices with Upper Respiratory Tract Infection for Application in Diagnostic Systems Without Face-to-face Visits

  • Woosu Choi;Jihye Kim;Keun Ho Kim
    • Journal of Biomedical Engineering Research
    • /
    • v.44 no.4
    • /
    • pp.242-254
    • /
    • 2023
  • Although upper respiratory tract infections (URTIs) are common diseases, there have been no studies of their relationship with the indices obtained from tongue image analyses. The purpose of this study was to identify a tongue index through an analysis of tongue images (TIs) showing significant changes before and after treatment in patients with URTIs. A computerized tongue image acquisition system was developed to acquire TIs from subjects in the same environment. An image was taken from each of 39 URTI patients and 39 healthy controls. For the patients, images were acquired before and after treatment to identify changes. The tongue area was classified into a tongue body and a tongue coating, and the coating ratio between the two areas, the average value of the colour of each area, and teeth marks were calculated. No significant difference was observed in age or sex between the URTI patients and control participants. Heart rates were slightly different. The analysis of TIs showed that the luminance of the tongue coating and the coating area ratio were decreased, while the reddish value of the tongue body at the centre area increased as the treatment progressed. Tongue coating and body in URTIs had different colour and shape from those in the normal. It is expected that this result will contribute not only to the objectification of traditional Chinese medicine but also to diagnostic methods that do not involve face-to-face physician visit during the pandemic.

A Cycle GAN-based Wallpaper Image Transformation Method for Interior Simulation (Cycle GAN 기반 벽지 인테리어 이미지 변환 기법)

  • Seong-Hoon Kim;Yo-Han Kim;Sun-Yong Kim
    • The Journal of the Korea institute of electronic communication sciences
    • /
    • v.18 no.2
    • /
    • pp.349-354
    • /
    • 2023
  • As the population interested in interior design has been increasing, the global interior market has grown significantly. Global interior companies are developing and providing simulation services for various interior elements. Although wallpaper design is the most important interior element, existing wallpaper design simulation services are difficult to use due to drawbacks such as differences between expected and actual results, long simulation time, and the need for professional skills. We proposed a wallpaper image transformation method for interior design using cycle generative adversarial networks (GAN). The proposed method demonstrates that users can simulate wallpaper design within a short period of time based on interior image data using various types of wallpaper.

A Systematic Review of Trends for Image Quality Improvement in Light Microscopy (광학 현미경 영상 화질개선의 추세에 관한 체계적 고찰)

  • Kyuseok Kim;Youngjin Lee
    • Journal of radiological science and technology
    • /
    • v.46 no.3
    • /
    • pp.207-217
    • /
    • 2023
  • Image noise reduction algorithm performs important functions in light microscopy. This study aims to systematically review the research trend of types and performance evaluation methods of noise reduction algorithm in light microscopic images. A systematic literature search of three databases of publications from January 1985 to May 2020 was conducted; of the 139 publications reviewed, 16 were included in this study. For each research result, the subjects were categorized into four major frameworks-1. noise reduction method, 2. imaging technique, 3. imaging type, and 4. evaluation method-and analyzed. Since 2003, related studies have been conducted and published, and the number of papers has increased over the years and begun to decrease since 2016. The most commonly used method of noise reduction algorithm for light microscopy images was wavelet-transform-based technology, which was mostly applied in basic systems. In addition, research on the real experimental image was performed more actively than on the simulation condition, with the main case being to use the comparison parameter as an evaluation method. This systematic review is expected to be extremely useful in the future method of numerically analyzing the noise reduction efficiency of light microscopy images.