• Journal of the Korean Society of Costume
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• v.51 no.1
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• pp.163-174
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• 2001

The purpose of this study is to review the features of eroticism expressed in men's fashion, to explain psychological and social contexts which engender eroticism and to analyze in what way eroticism is portrayed in men s fashion in this context. Eroticism as the metonymy of forbidden sexual desire, has been embodied mostly in visual forms such as picture and photo. From a psychoanalytic view, the context in which eroticism is formed can be explained by primary narcissism and fetishism. Primary narcissism is the feeling of satisfaction with the self in which the subject who is admiring and the object of admiration are one and the same. Accordingly, in order to give rise to eroticism, both subject and object have to exist. Fetishism, the metonymy of castrated penis, is also one of the factors to produce eroticism. Metaphorically seen as a woman who has a penis, a man who dresses in the same manner as a woman dresses can be a source of eroticism to gays. From a sociological view, the context in which eroticism is fostered depends on the dynamic relations among social powers. In these relations, who is a subject or who is an object has been continuously changing. In the Post-modern culture appearing in the late 20th century, power begins to take various forms, and gays and women who had never been subjects begin to make man an object of eroticism. The other point is that social morality, ignoring desire itself, objectifies sexual desire and seeks to remove It by exchanging it for objectified symbols. The design elements provoking eroticism in men s fashion are exposure and decoration. In particular, models in exposure and decorative fashion have been objectified through the methods of fragmentation rather than showing the whole figure or removing a person s individuality or will,.

• The Journal of the Acoustical Society of Korea
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• v.37 no.2
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• pp.118-128
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• 2018

In this paper, we have studied how to search an underwater object by learning the image generated by the side scan sonar in the convolution neural network. In the method of human side analysis of the side scan image or the image, the convolution neural network algorithm can enhance the efficiency of the analysis. The image data of the side scan sonar used in the experiment is the public data of NSWC (Naval Surface Warfare Center) and consists of four kinds of synthetic underwater objects. The convolutional neural network algorithm is based on Faster R-CNN (Region based Convolutional Neural Networks) learning based on region of interest and the details of the neural network are self-organized to fit the data we have. The results of the study were compared with a precision-recall curve, and we investigated the applicability of underwater object detection in convolution neural networks by examining the effect of change of region of interest assigned to sonar image data on detection performance.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.3
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• pp.389-395
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• 2022

Because of improvement of deep learning techniques, deep learning using computer vision such as classification, detection and segmentation has also been used widely at many fields. Expecially, automatic driving is one of the major fields that applies computer vision systems. Also there are a lot of works and researches to combine multiple tasks in a single network. In this study, we propose the network that predicts the individual depth of pedestrians and vehicles. Proposed model is constructed based on YOLOv3 for object detection and Monodepth for depth estimation, and it process object detection and depth estimation consequently using encoder and decoder based on hard parameter sharing. We also used attention module to improve the accuracy of both object detection and depth estimation. Depth is predicted with monocular image, and is trained using self-supervised training method.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.12
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• pp.561-568
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• 2021

In recent years, autonomous driving technologies have become a high-value-added technology that attracts attention in the fields of science and industry. For smooth Self-driving, it is necessary to accurately detect an object and estimate its movement speed in real time. CNN-based deep learning algorithms and conventional dense optical flows have a large consumption time, making it difficult to detect objects and estimate its movement speed in real time. In this paper, using a single camera image, fast object detection was performed using the YOLOv5 algorithm, a deep learning algorithm, and fast estimation of the speed of the object was performed by using a local dense optical flow modified from the existing dense optical flow based on the detected object. Based on this algorithm, we present a system that can predict the collision time and probability, and through this system, we intend to contribute to prevent tram accidents.

• Journal of the Korea Convergence Society
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• v.11 no.2
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• pp.241-252
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• 2020

The purpose of this research is to study the effect of soldiers' self-development during military service on returning university students' self-directed learning and job preparation Behavior. The object of this study are 323 students among second, third and fourth graders of about 15 universities' nationalwide by online stratified clusterrandom sampling. SPSS 25.0 program was used for data analysis and factor analysis, frequency analysis, independent t-test, one way ANOVA, multiple regression analysis were done. The rusult are as follows :First, self-directed learning and job preparation behavior according to personal characters have meaningful differences in university location, grade, degree of self-development during military service, degree of self-development during military service, self-development during military service, e-learning study during military service, gaining credits during military service, gaining national licence during military service and receiving money for self-development during military service. Second, The experience of self-development during military service has meanigful difference in returnig university students' self-directed learning and job preparation behavior.

• Journal of Astronomy and Space Sciences
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• v.18 no.1
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• pp.1-6
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• 2001

In this paper we investigate the properties of advection-dominated accretion flows (ADAFs) in case that outflows carry away infalling matter with its angular momentum and energy. Positive Bernoulli number in ADAFs allow a fraction of the gas to be expelled in a form of outflows. The ADAFs are also unstable to convection. We present self-similar solutions for advection-dominated accretion flows in the presence of outflows from the accretion flows(ADIOS). The axisymmetric flow is treated in variables integrated over polar sections and the effects of outflows on the accretion flow are parameterized for possible configurations compatible with the one dimensional self-similar ADAF solution. We explicitly derive self-similar solutions of ADAFs in the presence of outflows and show that the strong outflows in the accretion flows result in a flatter density profile, which is similar to that of the convection-dominated accretion flows(CDAFs) in which convection transports the angular momentum inward and the energy outward. There two different versions of the ADAF model should show similar behaviors in X-ray spectrum to some extent. Even though the two models may show similar behaviors, they should be distinguishable due to different physical properties. We suggest that for a central object of which mass is known these two different accretion flow should have different X-ray flux value due to deficient matter in the wind model.

• The Journal of the Korea Contents Association
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• v.12 no.8
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• pp.96-104
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• 2012

The reusability problems in the existing object-oriented development method and component development method is the problem that should be also resolved in the mobile development. Changing the function in mobile applications need to upgrade the entire mobile application, which can cause problems in mobile application in conjunction with other applications within the device. Thus, the changable functions in mobile application should be developed by considering their reusability. In this paper, we propose the customization technique that can be improved reusability for a variety of requirements of mobile application. We propose the self-adaptable customization technique that can change dynamically for the function to require changes by applying the data variability among variabilities.

• 한국사회복지학회:학술대회논문집
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• 2004.04a
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• pp.535-559
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• 2004

While the endeavor to introduce the service activity in the college education is enlarged, the object of this study is to introduce the concept of service learning in social work education. The 'content centered service-learning' is focusing on the practical education, the liaison and participation in community and the promotion of civil awareness which are very important in social work education that focuses on the interest and participation in the human and social problem as practical study. This study contemplates the educational effect of the course of social work combined with service learning. This study verifies the self-efficacy, the altruism, the change of social responsibility of students and the effect by carrying out the course of social welfare and service activities side by side. To evaluate the effect of service learning, pre and post test and qualitative analysis in journal of service activity, the discussion during the class and the mid and final term evaluation were done. Through the service learning, students showed the promotion in self-esteem, the altruism, the social responsibility, the self insights as a social worker and were able to have the chance to consider their future job. From the view point of local centers, it was evaluated that the service activity of students was helpful to the institutions and the clients, and that the liaison between the community agency and the college and the experience of integration of service learning and the course of social welfare was helpful too. Based on the above mentioned results, this study provide some recommendations in implementation of service-learning as the teaching methodology of social work.

• Proceedings of the Korean Vacuum Society Conference
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• 2012.02a
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• pp.182-182
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• 2012

Plasma etching is used in various semiconductor processing steps. In plasma etcher, optical- emission spectroscopy (OES) is widely used for in-situ endpoint detection. However, the sensitivity of OES is decreased if polymer is deposited on viewport or the proportion of exposed area on the wafer is too small. Because of these problems, the object is to investigate the suitability of using plasma impedance monitoring (PIM) and self plasma optical emission spectrocopy (SPOES) with statistical approach for in-situ endpoint detection. The endpoint was determined by impedance signal variation from I-V monitor (VI probe) and optical emission signal from SPOES. However, the signal variation at the endpoint is too weak to determine endpoint when $SiO_2$ and SiNx layers are etched by fluorocarbon on inductive coupled plasma (ICP) etcher, if the proportion of $SiO_2$ and SiNx area on Si wafer are small. Therefore, modified principal component analysis (mPCA) is applied to them for increasing sensitivity. For verifying this method, detected endpoint from impedance monitoring is compared with optical emission spectroscopy.

• Journal of information and communication convergence engineering
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• v.2 no.2
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• pp.80-83
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• 2004

The core purpose of the system proposed in this paper is to help learners pursue proactive and self-oriented education by allowing learners to proactively configure their own content, that is, learners no longer have to be restricted by prescribed sequence of lectures. Although a variety of standardization and Learning Management System (LMS) were produced to develop and effectively manage web contents in response to active diffusion of internet application, practical changes to assist online learners are not yet to be found. In this paper, I would like to introduce a LMS that can support self-leading education by providing various types of learners at Virtual University with delicately organized educational contents for maximum efficiency. The system allows a learner to select a lecture or a chapter which has been presorted to meet his educational needs and intellectual ability. In general, most LMSs cannot meet every individual's educational needs because they structure their programs by letting learners simply choose from a list of available lectures at prescribed level or difficulty. However the Self-Leading LMS eliminates such boundaries by allowing learners to choose contents and difficulty within the limit set by their own educational competence.