• Proceedings of the KIEE Conference
• /
• 1995.07b
• /
• pp.941-943
• /
• 1995

The convergence of adaptive algorithm depends mainly on the proper choice of the design factor called the covergence factor. In the paper, an optimal convergence factor involved in TRLMS algorithm, which is used to predict the coefficients of the ARMA predictor in ADPCM is presented. It is shown that such an optimal value can be generated by system signals such that the adaptive filter becomes self optimizing in terms of the convergence factor. This algorithm is applied to real image.

• The Research Journal of the Costume Culture
• /
• v.22 no.5
• /
• pp.760-775
• /
• 2014

In the era of 2.0 web, blog has become the media that men can express themselves with fashion more actively and independently, as paying much attention to their personal appearance and cultivating an upscale lifestyle. They often create their fashion images in the virtual space where enables a free and creative operations of self-expression. The study aims to identify the types of men's ego-images represented on the personal fashion blogs based on the framework of analysis from the previous research (Suh, 2014), to build the base data for analyzing men's fashion style in $21^{st}$21st century that reflects changes in men's sexual images, and to verify the framework as comparing with the previous case study about the women blogs (Suh, 2014). The case studies conducted 5 men's personal blogs such as bryanboy, iamgala, little fashionisto, katelovesme, and stylentonic. The study results almost same types of women's ego-images as following. The imaginary ego-image is classified as narcissism, regression, identification, and virtuality, the social ego-image as symbolism of roles and others'desire, the real ego as primary instinct, practical reality, object a, jouissance and sexual perversion. The personal style of men shown on the fashion blogs appears as a significant factor to analyze male customers in the growing men's beauty and fashion market.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.31 no.1 s.160
• /
• pp.33-43
• /
• 2007

Middle age is the time of the most important meaning in life and also the time of physical and mental change, which offers new social activities for self-development. Middle-aged women form the major consumer class in current clothing industry, but few have been performed on this so far. The researcher studied in many aspect on the clothes which middle-aged women need to wear during this period of change. Thus this study is executed to examine what benefits middle-aged women pursue in clothing attitudes and the relationship among clothing pursuit benefit and their somatotype compensation and image orientation. The research performed the theoretical study and practical study simultaneously. The subjects are 238 middle-aged women between 35 and 49 years old in September, 2004. The results of this study are as follows: 1. The attitude of women's clothing patterns in relation with image consist of two factor structures. One is the body image and the other is the appearance image. 2. As a result of researching the attitude for choosing clothes of each body group by Rohrer index, the women with gross body group take a top priority for the lower-body compensation, while the women with slim body group take a top priority for volume compensation. 3. As a result of researching the cognitive somatotype group's attitude for choosing clothes, gross body group takes a top priority for lower-body compensation and upper-body compensation. 4. As a result of researching the relationship between real somatotype and cognitive somatotype by Rohrer index, middle-aged women think of themselves as being fatter than present state. And choosing the clothes, the body misunderstanding group of women usually show that they consider more compensation than the normally body understanding group. 5. The evaluation on real somatotype, cognitive somatotype, ideal somatotype influences on the body cathexis.

• English & American cultural studies
• /
• v.13 no.1
• /
• pp.83-103
• /
• 2013

This paper focuses on the function of suicidal images in the history of art including literature. Death has been romanticized or repoliticized into an existential act of defiance and rebellion in literary works, so questions remain about the correlation between literary suicide and the essence of suicide. Although Jacques Ranciere insists that the order of art contrasts with the order of common people whose acts and gestures can express either their specific purposes nor the rationalities of their frustration, literary suicide reflects the outside life of readers. In fact, images of suicide produces the order of things about the real world. William Shakespeare's Hamlet handled two oppositional self-murder significantly. As Ron M. Brown pointed out, Hamlet, by choosing confrontation, seeks out an end which is voluntary, thus he avoids self-destruction and feels triumph of heroic fashion. Ophelia's self-chosen death stems from loss, frailty and the disintegration of reason, which demeans the act and diminishes her from the tragic to the pathetic(16). In the $19^{th}$ century, the resurrection of Ophelia acted as the context for later periods where life itself is fictionalized from the differing periods of network of signifier and texts. Finally, in Ophelia's case, fiction became life(Brown 285). Her suicidal image was fixed in the Victorian Culture whose visual discourse was strikingly similar to that of the men. Likewise, the ambiguities of the suicide became intertwined with the social, cultural issues of a certain period, and the paradigm of suicide was conformed to the changing needs of successive generations. However, if literary art understands that a European culture grappled with the almost impossible task and coming to terms with this strangest and most persistent of phenomena, it will be able to focus on of the multi-layered suicide by recognizing the inherent instability of the verbal sign which cannot reveal the design and grammar of truth.

• Journal of the Korean Institute of Gas
• /
• v.15 no.2
• /
• pp.27-32
• /
• 2011

In this paper a new defect length estimation algorithm using SQI(self quotient image) is presented for the MFL(magnetic flux leakage) inspection of underground gas pipelines. Gas pipelines are magnetized by the permanent magnets of the MFL PIG(pipeline inspection gauge) when the PIG runs through pipelines. If defects or corrosions exist in the pipeline, magnetic leakage flux is increased. The MFL signals measured by hall sensors are analyzed to estimate defect length using SQI. For 74 real defects carved in KOGAS pipeline simulation facility(KPSF) the accuracy of defect length estimation of the proposed algorithm was compared with that of conventional methods.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2022.10a
• /
• pp.19-21
• /
• 2022

Anomaly detection using self-supervised learning typically generates synthetic data to learn to classify normal and abnormal, and uses real abnormal data as test data to measure anomaly detection performance. In a study using this method to generate synthetic data similar to normal data, anomaly detection was carried out by generating synthetic data by cutting and pasting a specific patch from the original image. In this way, the degree of similarity to normal data depends on the number and size of patches, which affects anomaly detection performance. In this paper, synthetic data were generated by varying patch sizes and numbers, and then similarity and analysis with normal data were conducted using a pre-trained model, and anomaly detection performance was measured by learning the model.

• Journal of information and communication convergence engineering
• /
• v.7 no.2
• /
• pp.119-124
• /
• 2009

In this paper, we propose a novel approach to estimating the real-time moving trajectory of an object is proposed in this paper. The object's position is obtained from the image data of a CCD camera, while a state estimator predicts the linear and angular velocities of the moving object. To overcome the uncertainties and noises residing in the input data, a Extended Kalman Filter(EKF) and neural networks are utilized cooperatively. Since the EKF needs to approximate a nonlinear system into a linear model in order to estimate the states, there still exist errors as well as uncertainties. To resolve this problem, in this approach the Kohonen networks, which have a high adaptability to the memory of the input-output relationship, are utilized for the nonlinear region. In addition to this, the Kohonen network, as a sort of neural network, can effectively adapt to the dynamic variations and become robust against noises. This approach is derived from the observation that the Kohonen network is a type of self-organized map and is spatially oriented, which makes it suitable for determining the trajectories of moving objects. The superiority of the proposed algorithm compared with the EKF is demonstrated through real experiments.

• Journal of Broadcast Engineering
• /
• v.26 no.4
• /
• pp.419-428
• /
• 2021

Shadow removal plays a key role for the pre-processing of image processing techniques such as object tracking and detection. With the advances of image recognition based on deep convolution neural networks, researches for shadow removal have been actively conducted. In this paper, we propose a novel method for shadow removal, which utilizes self attention distillation to extract semantic features. The proposed method gradually refines results of shadow detection, which are extracted from each layer of the proposed network, via top-down distillation. Specifically, the training procedure can be efficiently performed by learning the contextual information for shadow removal without shadow masks. Experimental results on various datasets show the effectiveness of the proposed method for shadow removal under real world environments.

• Journal of KIISE:Software and Applications
• /
• v.30 no.7_8
• /
• pp.713-718
• /
• 2003

The CONDENSATION (Conditional Density Propagation) algorithm has a robust tracking performance and suitability for real-time implementation. However, the CONDENSATION tracker has some difficulties with real-time implementation for multiple people tracking since it requires very complicated shape modeling and a large number of samples for precise tracking performance. Further, it shows a poor tracking performance in the case of close or partially occluded people. To overcome these difficulties, we present three improvements: First, we construct effective templates of people´s shapes using the SOM (Self-Organizing Map). Second, we take the discrete HMM (Hidden Markov Modeling) for an accurate dynamical model of the people´s shape transition. Third, we use the competition rule to separate close or partially occluded people effectively. Simulation results shows that the proposed CONDENSATION algorithm can achieve robust and real-time tracking in the image sequences of a crowd of people.

• ETRI Journal
• /
• v.45 no.6
• /
• pp.1046-1055
• /
• 2023

We introduce a display for virtual-reality (VR) fire training. Firefighters prefer to wear and operate a real breathing apparatus while experiencing full visual immersion in a VR fire space. Thus, we used a thin head-mounted display (HMD) with a light field and folded optical system, aiming to both minimize the volume for integration in front of the face into a breathing apparatus and maintain adequate visibility, including a wide viewing angle and resolution similar to that of commercial displays. We developed the optical system testing modules and prototypes of the integrated breathing apparatus. Through iterative testing, the thickness of the output optical module in front of the eyes was reduced from 50 mm to 60 mm to less than 20 mm while maintaining a viewing angle of 103°. In addition, the resolution and image quality degradation of the light field in the display was mitigated. Hence, we obtained a display with a structure consistent with the needs of firefighters in the field. In future work, we will conduct user evaluation regarding fire scene reproducibility by combining immersive VR fire training and real firefighting equipment.