• International Journal of Costume and Fashion
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• v.14 no.1
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• pp.29-45
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• 2014

In the contemporary world, fashionable bodies are socially constructed in light of current idealized images. Media portrayal of such images can have negative health implications. This issue has long been problematic for women. Nowadays, men are subject to more scrutiny regarding their bodies, although male body image has been studied far less than female body image. In this position paper based on a review of the major studies that have been conducted on men and body image, we summarize the findings from these state-of-the-art studies that have been recently published in academic journals. Three themes related to male body image were extracted: socio-cultural ideals, masculinity, and minority men. This study adds to the literature I that it demonstrates that men experience and view their bodies differently from women, though some behaviors, such as disordered eating, are similar. Other behaviors, such as the drive for muscularity, are couched in the context of the social construction of gender and power. Most of the studies were done on white, heterosexual populations of young men, and nearly all used quantitative research methods. Little research has been conducted on ethnic and sexual minorities. We conclude with a discussion of what we need to know, and to that end, we suggest future avenues of research.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.6B
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• pp.663-673
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• 2011

Applications of two dimensional image codes like QR and color code on mobile phone are spreading widely and in lieu of that, better decoding technology and platform designs are required. Futhermore "Bokode" technology which recognizes the defocus-blur image information from imperceptible visual tiny code on ordinary digital camera has been announced newly. There is an urgent need for competitive strategies to activate 2D image code industry and R&D under smart environment. This paper focused on suggesting valuable idea and practical task through investigation and analysis required for supporting of thus strategy construction. Description consist of introduction, technological tendency for R&D, patent and market, implementation task, conclusion and suggestion.

• Asia pacific journal of information systems
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• v.25 no.1
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• pp.163-178
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• 2015

This paper specifically delineated the methodological application of constructivism in smart tourism studies. It explained what constructivism is and how this methodology could be applied in the study of smart tourism. In this study, residents of Seoul participated in constructivist research using the Q method to identify their subjectivities toward Seoul based on photographs most commonly found in tourism promotional material. Residents are concerned with good governance and cultural integrity, and they are aware of their role as stakeholders in tourism in their communities. However their potential contribution to destination image formation has been usually overlooked by researchers and marketers. Three clusters of subjectivities were revealed after 42 photographs of Seoul were sorted by 37 respondents. The results show how respondents perceived Seoul's destination image. The three clusters agreed that symbolic monuments were the key representations of Seoul. The paper recommends that tourism marketers and policy makers should focus on understanding and coordinating with residents' perceived image of Seoul as a destination when planning and decision making, especially in promoting Seoul as a destination market. This study, in conjunction with other constructivist research offers insight into how destination image is, especially with the rise of smart tourism, a complex social construction.

• Journal of the Architectural Institute of Korea Structure & Construction
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• v.35 no.11
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• pp.163-170
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• 2019

Most of the current crack investigation work consists of visual inspection using simple measuring equipment such as crack scale. These methods involve the subjection of the inspector, which may lead to differences in the inspection results prepared by the inspector, and may lead to a large number of measurement errors. So, this study proposes an image-based crack detection method to enhance objectivity and efficiency of concrete crack investigation. In this study, YOLOv2 was used to determine the presence of cracks in the image information to ensure the speed and accuracy of detection for real-time analysis. In addition, we extracted shapes of cracks and calculated quantitatively, such as width and length using various image processing techniques. The results of this study will be used as a basis for the development of image-based facility defect diagnosis automation system.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.75-77
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• 2021

In order to find objects in an image through deep learning technology, an image dataset for learning is required. In order to increase the recognition rate of objects, a large amount of image learning data is required. It is difficult for individuals to build large amounts of datasets because it is expensive. This paper introduces a method for more easily constructing an image dataset including several sides of an object by photographing a rotating image. A method of constructing a dataset by placing an object on a rotating plate, photographing it, and dividing and synthesizing the captured images according to the needs is proposed.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.353-360
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• 2022

Due to the dense and complicated working environment, the construction industry is susceptible to many accidents. Worker's fall is a severe problem at the construction site, including falling into holes or openings because of the inadequate coverings as per the safety rules. During the construction or demolition of a building, openings and holes are formed in the floors and roofs. Many workers neglect to cover openings for ease of work while being aware of the risks of holes, openings, and gaps at heights. However, there are safety rules for worker safety; the holes and openings must be covered to prevent falls. The safety inspector typically examines it by visiting the construction site, which is time-consuming and requires safety manager efforts. Therefore, this study presented a worker-driven approach (the worker is involved in the reporting process) to facilitate safety managers by developing integrated computer vision and inertia sensors-based mobile applications to identify openings. The TensorFlow framework is used to design Convolutional Neural Network (CNN); the designed CNN is trained on a custom dataset for binary class openings and covered and deployed on an android smartphone. When an application captures an image, the device also extracts the accelerometer values to determine the inclination in parallel with the classification task of the device to predict the final output as floor (openings/ covered), wall (openings/covered), and roof (openings / covered). The proposed worker-driven approach will be extended with other case scenarios at the construction site.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.11
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• pp.568-573
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• 2018

UAV(Unmanned Aerial Vehicle) is widely used in space information construction, agriculture, fisheries, weather observation, communication, and entertainment fields because they are cheaper and easier to operate than manned aircraft. In particular, UAV have attracted much attention due to the speed and cost of data acquisition in the field of spatial information construction. However, ortho image images produced using UAVs are distorted in buildings and forests. It is necessary to solve these problems in order to utilize the geospatial information field. In this study, fixed wing, rotary wing, vertical take off and landing type UAV were used to detect distortions of ortho image of UAV under various conditions, and various object areas such as construction site, urban area, and forest area were captured and analysed. Through the research, it was found that the redundancy of the unmanned aerial vehicle image is the biggest factor of the distortion phenomenon, and the higher the flight altitude, the less the distortion phenomenon. We also proposed a method to reduce distortion of orthoimage by lowering the resolution of original image using DTM (Digital Terrain Model) to improve distortion. Future high-quality unmanned aerial vehicles without distortions will contribute greatly to the application of UAV in the field of precision surveying.

• Journal of Digital Contents Society
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• v.9 no.2
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• pp.341-348
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• 2008

As a high-speed growth of internet infrastructure and a fast supply of digital imaging devices, a digital image contents industrialization is growing fast. Digital image contents are represented as digitalized images for recognition by the computer. This paper proposes the customized stock image contents management system for digital image contents developers and UCC contents producers. For automatic batch management of image contents, we design the system using the techniques of stock image meta-data conversion to want, image contents format conversion to want and selective image contents uploading to want. Furthermore, constructed system can be embedded to a system easy and fast. It provides efficient work environment as appling conventional systems and contributes for user-friendly interface construction.

• Journal of Korean Academy of Nursing Administration
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• v.2 no.2
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• pp.17-42
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• 1996

Most human behaviors are based on self-perceptual image. Subjectivity in professional nursing image is shown in their opinions, beliefs, values, and attitudes of professional nursing and it helps to understand individual's behavior. This study was initiated to find the characteristics and patterns in subjectivity of hospital nurses' professional nursing image. The Data were collected from Apr. 20 to Aug. 22, 1996. The research method employed Q-methodology which is based on self-psychology and abductive logics. Analysis of Q-type obtained by QUANL pc program. The characteristics of professional nursing image was analyzed based on the typal array, extreme comments, and the subject's demographic information. The results revealed that there are three different types on the professional nursing image. The three types were named as follows : The first type, the Improvable, consisting of 6 subjects, preferentially perceived nursing is human behavior as life process, coordinating with other health personnel for the patients as nurses' important role. On the other hand, they are taking a little dissatisfied view of professional nursing image, which can be estimated to advance for the construction of the professional nursing image. The second type, the Self-conflicted, consisting of 13 subjects, who have the subjectivity of the image by focusing on external and environmental factors rather than developing positive individual nurses' image for their profession. They have very conflic-ting and self-degrading traits. The third type, the Affirmative, consisting of 10 subjects, who appreciate the essence of nursing, and that they highly perceived nurse' positive attitude, devotion, mature interrelationship and self-developing efforts etc. In conclusion, this study discovers three types on the professional nursing image and their relationship. By identifying the nature of three types, this study suggests that the results should be useful reinforcement tool in educating nursing students as well as in continuing education for hospital nurses.

• The Journal of Korean Academic Society of Nursing Education
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• v.21 no.1
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• pp.5-15
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• 2015

Purpose: This study, on the basis of a structural model that includes nurse image, image determinants, and self-esteem of Cambodian nursing students influenced by the Korean nursing education system, demonstrates distinctions between senior and junior according to experience in clinical practice. Methods: Data were collected via a questionnaire from 194 nursing students in Cambodia and subsequently analyzed using the STATA IC 12 program. Results: First, image determinants and their sub-factors-subjective, institutional, and media-effect both the nurse image and self-esteem of nursing students. Second, the study confirms that nurse image has no significant effect on self-esteem. Also, the individual factor, a sub-factor of nurse image, possesses a weak relationship with nurse image. Third, the structural model mediating between senior and junior reveals differences resulting from experiences derived from clinical practice. Conclusion: The study has significance in that Cambodian nursing students, who are rarely studied in terms of nurse image, have been systemically analyzed via a structural model incorporating image determinants and self-esteem.