• Journal of Korean Society of Transportation
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• v.32 no.5
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• pp.522-530
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• 2014

Spatio-temporal congestion evolution pattern can be reproduced using the VDS(Vehicle Detection System) historic speed dataset in the TMC(Traffic Management Center)s. Such dataset provides a pool of spatio-temporally experienced traffic conditions. Traffic flow pattern is known as spatio-temporally recurred, and even non-recurrent congestion caused by incidents has patterns according to the incident conditions. These imply that the information should be useful for traffic prediction and traffic management. Traffic flow predictions are generally performed using black-box approaches such as neural network, genetic algorithm, and etc. Black-box approaches are not designed to provide an explanation of their modeling and reasoning process and not to estimate the benefits and the risks of the implementation of such a solution. TMCs are reluctant to employ the black-box approaches even though there are numerous valuable articles. This research proposes a more readily understandable and intuitively appealing data-driven approach and developes an algorithm for identifying congestion patterns for recurrent and non-recurrent congestion management and information provision.

• Journal of the Korea Computer Graphics Society
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• v.26 no.2
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• pp.11-19
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• 2020

When a character's pose changes, its center of mass(COM) also changes. The change of COM has distinctive patterns corresponding to various motion types like walking, running or sitting. Thus the motion type can be predicted by using COM movement. We propose a motion generator that uses character's center of mass information. This generator can generate various motions without annotated action type labels. Thus dataset for training and running can be generated full-automatically. Our neural network model takes the motion history of the character and its center of mass information as inputs and generates a full-body pose for the current frame, and is trained using simple Convolutional Neural Network(CNN) that performs 1D convolution to deal with time-series motion data.

• Cross-Cultural Studies
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• v.41
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• pp.275-298
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• 2015

This paper is to examine in detail the relevant aspects of "Nature" and "Elegant Beauty" appearring in Cho, Chi-Hoon's poems and poetics. It uses the same context to explain the reasons and grounds for the inevitable, corresponding closely to his poetry and poetics. It is the core of Cho Chi-Hoon's poetry to determine "natural" new artistic views and his vision of ultra-modernism. This is consistent with the precise feature of "Elegant Beauty" in the midst of aesthetic categories profoundly discusseing his poetics. He regards a "lyric" as a vision of ultra-modernism, to overcome divisions and conflicts of values, "Truth Good Beauty", which was caused by modern science. Furthermore, it includes many social issues in accordance with the differentiation and specialization of each area. It is inferred to have been attempted to produce specifically was found to shape new images of "Nature" in the dimension of his poems, "Elegant Beauty" is overwhelmed with the aesthetic excellence of the other categories in the dimension of his poetics in this context.

• Journal of the Korea Institute of Building Construction
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• v.20 no.6
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• pp.537-543
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• 2020

The window cleaning works are manpower-dependent and are performed in an unstable posture at high altitude, so that there is a risk of falling. Therefore, there is an urgent need to improve the safety of workers. In this study, a conceptual design was proposed for the cleaning of exterior windows of a building, and the economic feasibility of the proposed conceptual model was analyzed. The proposed model is designed to avoid protrusions such as window frames, and to be able to respond even if the shapes of the upper and lower parts are different. As a result of analyzing the economic feasibility of the designed conceptual model, the benefit cost ratio was 4.48, which was significantly higher than 1. Therefore, the economic feasibility of the proposed window cleaning device is expected to be sufficient. The results analyzed in this paper will be used in the development and marketing of the window cleaning device.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.17 no.2
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• pp.93-102
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• 2007

A serious problem to fight DDoS attacks is that attackers use incorrect or spoofed IP addresses in the attack packets. Due to the stateless nature of the internet, it is a difficult problem to determine the source of these spoofed IP packets. The most of previous studies to prevent and correspond to DDoS attacks using the traceback mechanism have been accomplished in IPv4 environment. Even though a few studies in IPv6 environment were introduced, those have no detailed mechanism to cope with DDoS attacks. The mechanisms for tracing the origin of attacks in IPv6 networks have so many differences from those of IPv4 networks. In this paper we proposed a lightweight IP traceback mechanism in IPv6 network environment. When marking for traceback is needed, the router can generate Hop-by-Hop option and transmit the marked packet. We measured the performance of this mechanism and at the same time meeting the efficient marking for traceback.

• Journal of IKEEE
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• v.26 no.2
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• pp.249-256
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• 2022

The prosthetic leg is a device that performs walking instead of a amputated lower limb, and require a change in locomotion mode by providing the user's intention to respond to a discontinuous locomotion environment. Research has been conducted to detect the users' intentions through biomechanical features inside the socket that directly contacts the cut site in demand for natural locomotion mode changes without external control equipment. However, there is still a need for a sensor system that is suitable for the internal environment of the main body and socket of the cut site. Accordingly, this paper proposed a film-type sensor system that is suitable for the main body characteristics of the cut site, is not affected by the temperature and humidity conditions inside the socket, and is easy to manufacture in various sizes. The proposed sensor is manufactured base on Velostat film and takes into account the pressure measurement characteristics that vary with size. Through the experiment, the change in the internal pressure of the socket due to the intentional posture performance of the wearer was measured, and the possibility of detecting the intention to change the locomotion mode was confirmed.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.5
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• pp.187-194
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• 2021

A person's behavioral recognition is the recognition of what a person does according to joint movements. To this end, we utilize computer vision tasks that are utilized in image processing. Human behavior recognition is a safety accident response service that combines deep learning and CCTV, and can be applied within the safety management site. Existing studies are relatively lacking in behavioral recognition studies through human joint keypoint extraction by utilizing deep learning. There were also problems that were difficult to manage workers continuously and systematically at safety management sites. In this paper, to address these problems, we propose a method to recognize risk behavior using only joint keypoints and joint motion information. AlphaPose, one of the pose estimation methods, was used to extract joint keypoints in the body part. The extracted joint keypoints were sequentially entered into the Long Short-Term Memory (LSTM) model to be learned with continuous data. After checking the behavioral recognition accuracy, it was confirmed that the accuracy of the "Lying Down" behavioral recognition results was high.

• Journal of Korea Entertainment Industry Association
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• v.15 no.5
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• pp.69-83
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• 2021

To understand 'Moving up the charts' as a dynamic phenomenon in the K-pop entertainment industry, this study specifically analyzed the 'Moving up the charts' of 「Rollin'」 sung by 'Brave Girls'. First, the context and process related to 「Rollin'」 were described in detail, and the performance as a sound source and business were described. Subsequently, six factors were analyzed and presented as causes for 'Moving up the charts': 'Existence of specific possible triggers', 'Attractions of content itself', 'Inflow of new male fans', 'Turning weaknesses into strengths as idol', 'Psychological empathy with stories of real group' and 'Fast response and communication of agency'. Due to the influence of 'Moving up the charts', two changes were presented: 'Expansion of popularity and interest and expansion beyond songs' and 'Forming a consumer group with high purchasing power'. Through this, this study discussed the meaning, role, and possibility of 'Moving up the charts' in the K-pop entertainment industry. In the future, it will be necessary to recognize 'Moving up the charts' in the music market as a remarkable phenomenon, and to understand the importance of new idol consumer class as well as the use of related media such as YouTube.

• 지역과문화
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• v.8 no.1
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• pp.25-53
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• 2021

Based on the assumption that understandings and practices have been shifted in accordance with the historical context, this study aims to propose future policies to localize cultural diversity. First, in this study, it is necessary for the concept of cultural diversity, which came from political struggles, to understand and practice cultural diversity in the historical context by analyzing the multilayer aspects of policy practices. Second, through the case study of Jeonlabuk-do, by reviewing the discrimination experienced by social minorities and the perception of professionals related to culture policies in the region, this study represents to understand and practice of cultural diversity in the multi-layed way, even in the local. Lastly, it suggests some specific future policies to be considered when implicating the policies of culture diversity in respond to the limits of current government policies, including: decentralization of policies, enhancing local policies, transition from 'politics of distribution' to 'politics of recognition', an interculturalist approach that promotes contact rather than separation

• Journal of the Korea Computer Graphics Society
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• v.29 no.1
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• pp.13-22
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• 2023

In this paper, we present a method for estimating full 3D shapes from given 2D silhouette images of human bodies. Because the silhouette only consists of the partial information on the true shape, it is an ill-posed problem. To address the problem, we use the statistical human shape space obtained from the existing large 3D human shape database. The method consists of three steps. First, we extract the boundary pixels and their appropriate normal vectors from the input silhouette images. Then, we initialize the correspondences of each pixel to the vertex of the statistically-deformable 3D human model. Finally, we numerically optimize the parameters of the statistical model to fit best to the given silhouettes. The viability and the robustness of the method is demonstrated with various experiments.