• Journal of the Korean Institute of Intelligent Systems
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• v.26 no.6
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• pp.471-476
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• 2016

In this paper, recognition system for continuous human action is explained by using motion history image and histogram of oriented gradient with spotter model based on depth information, and the spotter model which performs action spotting is proposed to improve recognition performance in the recognition system. The steps of this system are composed of pre-processing, human action and spotter modeling and continuous human action recognition. In pre-processing process, Depth-MHI-HOG is used to extract space-time template-based features after image segmentation, and human action and spotter modeling generates sequence by using the extracted feature. Human action models which are appropriate for each of defined action and a proposed spotter model are created by using these generated sequences and the hidden markov model. Continuous human action recognition performs action spotting to segment meaningful action and meaningless action by the spotter model in continuous action sequence, and continuously recognizes human action comparing probability values of model for meaningful action sequence. Experimental results demonstrate that the proposed model efficiently improves recognition performance in continuous action recognition system.

• Journal of the Korea Convergence Society
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• v.10 no.5
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• pp.1-8
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• 2019

In this paper, we propose an improved facial skin color extraction method to solve the problem that facial surface is lost due to shadow or illumination in skin color extraction process and skin color extraction is not possible. In the conventional HSV method, when facial surface is brightly illuminated by light, the skin color component is lost in the skin color extraction process, so that a loss area appears on the face surface. In order to solve these problems, we extract the skin color, determine the elements in the H channel value range of the skin color in the HSV color space among the lost skin elements, and combine the coordinates of the lost part with the coordinates of the original image, To minimize the number of In the face detection process, the face was detected using the LBP Cascade Classifier, which represents texture feature information in the extracted skin color image. Experimental results show that the proposed method improves the detection rate and accuracy by 5.8% and 9.6%, respectively, compared with conventional RGB and HSV skin color extraction and face detection using the LBP cascade classifier method.

• Journal of Korea Water Resources Association
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• v.54 no.5
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• pp.289-299
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• 2021

This study analyzes bifurcation characteristics of the Seolmacheon experimental catchment by extracting the shape variation of channel network due to variable scale of source basin or threshold area. As the area of source basin decreases, a bifurcation process of channel network occurs within the basin of interest, resulting in the elongation of channel network (increase of total channel length) as well as the expansion of channel network (increase of the source number). In the former case, the elongation of channel reaches overwhelms the generation of sources, whereas, in the latter case, the drainage path network tends to fulfill the inner space of the basin of interest reflecting the opposite trend. Therefore, scale invariance of natural channel network could be expressed to be a balanced geomorphologic feature between the elongation of channel network and the expansion of channel network due to decrease of source basin scale. The bifurcation structure of the Seolmacheon experimental catchment can be characterized by the coexistence of the elongation and scale invariance of channel network, and thus a further study is required to find out which factor is more crucial to rainfall transformation into runoff.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.29 no.4
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• pp.59-69
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• 2011

In this study I examined the status of the borrowed scenery of Soshaewon and analyzed the structure of Byeolseo Gardenusing "Soshaewon Sisun(瀟灑園詩選)", which consists of a collection of poems written by people who visited Soshaewon during Joseon Dynasty with bibliographical explanations and "the Thirty Poems of Soshaewon", written by Yang, Gyeong Ji who was the fifth generation from Yang, San Bo. This study expanded the concept of borrowed scenery to include visual, synaesthetic, temporary and ideal features based on the theory of borrowed scenery in "Won Ya(園冶)", which emphasized the time feature and change, and explained that a landscape garden could be perfected by the presence of borrowed scenery beyond the previous borrowed landscape which was recognized through visual value. It would be correct to understand that the visitors to Soshaewon accomplished imaginary scenery(意境) through recreating Soshaewon into a space that stimulated poetic sentiment and aesthetic sensitivity by creating four types of borrowed scenery of a landscape garden composed of both real and fictitious scenery. At present the scope of Soshaewon tends to be limited to its inner garden covering the stream garden. However, in this study I took a new approach in defining the scope of Soshaewon, providing three types of Byeolseo Garden area ; more specifically, the expanded scope of Soshaewon covers the outer garden that secured the outlook of visual, temporary and synaesthetic objects for borrowed scenery and the right to use by purchasing more area by the descendants and the ideological garden that was composed of the ideal borrowed scenery created by the Confucian friends and colleagues who praised the Jeungamcheon Stream area and various famous mountains longing for the immortal world.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.5
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• pp.1666-1689
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• 2021

The red line of Permanent Basic Farmland is the most important part in the "three-line" demarcation of China's national territorial development plan. The scientific and reasonable delineation of the red line is a major strategic measure being taken by China to improve its ability to safeguard the practical interests of farmers and guarantee national food security. The delineation of Permanent Basic Farmland zoning (DPBFZ) is essentially a multi-objective optimization problem. However, the traditional method of demarcation does not take into account the synergistic development goals of conservation of cultivated land utilization, ecological conservation, or urban expansion. Therefore, this research introduces the idea of artificial immune optimization and proposes a multi-objective model of DPBFZ red line delineation based on a clone selection algorithm. This research proposes an objective functional system consisting of these three sub-objectives: optimal quality of cropland, spatially concentrated distribution, and stability of cropland. It also takes into consideration constraints such as the red line of ecological protection, topography, and space for major development projects. The mathematical formal expressions for the objectives and constraints are given in the paper, and a multi-objective optimal decision model with multiple constraints for the DPBFZ problem is constructed based on the clone selection algorithm. An antibody coding scheme was designed according to the spatial pattern of DPBFZ zoning. In addition, the antibody-antigen affinity function, the clone mechanism, and mutation strategy were constructed and improved to solve the DPBFZ problem with a spatial optimization feature. Finally, Tongxu County in Henan province was selected as the study area, and a controlled experiment was set up according to different target preferences. The results show that the model proposed in this paper is operational in the work of delineating DPBFZ. It not only avoids the adverse effects of subjective factors in the delineation process but also provides multiple scenarios DPBFZ layouts for decision makers by adjusting the weighting of the objective function.

• Journal of the Korea Society of Computer and Information
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• v.27 no.10
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• pp.11-17
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• 2022

In this paper, a model that can increase the efficiency of work in arranging interior furniture by applying augmented reality technology was studied. In the existing system to which augmented reality is currently applied, there is a problem in that information is limitedly provided depending on the size and nature of the company's product when outputting the image of furniture. To solve this problem, this paper presents an AR labeling algorithm. The AR labeling algorithm extracts feature points from the captured images and builds a database including indoor location information. A method of detecting and learning the location data of furniture in an indoor space was adopted using the CNN technique. Through the learned result, it is confirmed that the error between the indoor location and the location shown by learning can be significantly reduced. In addition, a study was conducted to allow users to easily place desired furniture through augmented reality by receiving detailed information about furniture along with accurate image extraction of furniture. As a result of the study, the accuracy and loss rate of the model were found to be 99% and 0.026, indicating the significance of this study by securing reliability. The results of this study are expected to satisfy consumers' satisfaction and purchase desires by accurately arranging desired furniture indoors through the design and implementation of AR labels.

• (The) Research of the performance art and culture
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• no.23
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• pp.159-183
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• 2011

Pansori has both the features of drama and music. In 19th century, prime time of pansori, it had balance of the features between drama and music. But after the late 19th century, pansori has lost the features of drama, and it has been changed into a music centered art performance. This is the phenomenon came from that the upper class accepted and dominated the pansori which had been a performance art of the lower class. The Korean upper class people tend to disdain drama, but to revere music. Nerremsae is dramatic action and ballim is musical gesture in pansori. In 19th century, pansori had plenty of nerremsae, which provided a elaborative symbolic system after the conventional rule of drama. However current pansori actors use only ballim except nerreumsae. Chuimsae like 'ulssigu' is the way to participate in pansori by audience. The actor provides the space for the audience to fill it after inducement by drummer. Through the chuimsae, actor, drummer, and audience share the sympathetic emotional experiences. However the audience in these days do not do chuimsae, but do applause like in western dramas. In western dramas, distinction between tragedy and comedy is relatively clear. The tragedy is constantly tragedy, and the comedy is also constantly comedy. However joy and sorrow are coexisted in Korean pansori. These two contradictory emotions are collided and produce a new strong emotion in a pansori. This is one of very important feature of pansori. Even though each of tragedy and comedy reveals the only one side of life, pansori comprehensively reveals a total human life. However these strong emotions have been much weakened nowadays. Currently pansori has been much declined. For restoration of pansori, it is necessary to revive the drama side in pansori performances.

• The Journal of the Convergence on Culture Technology
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• v.9 no.2
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• pp.429-436
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• 2023

Traditional Chinese music has a deep indigenous color and has its own unique way of thinking and characteristics. A consensus has already been formed that linear thinking is a major feature of traditional Chinese music, and it has been implemented in both traditional multi-tone and single-tone music. It is mainly expressed in the form of single-tone music or single-tone music. This linear thought of traditional Chinese music is formed by influencing factors in various fields. For example, it is related to national culture, geographical and natural environment, religious and philosophical background, traditional Chinese notation, individual characteristics of traditional musical instruments, Yulje, composition, and transmission methods. This thinking is different from Western classical music that pursues three-dimensional thinking, and Western music emphasizes the harmony of harmony, harmony of tone and texture, logic and identity of structure, and emphasizes the aspect of space. However, traditional Chinese music emphasizes the horizontal development of melody, the fluency of ancestors, and the continuity of structure. We aims to analyze the causes of linear thinking of traditional Chinese music so that it can be more useful in educational aspects and promote the succession and development of traditional music by transferring knowledge of ethnic music.

• Journal of Korea Entertainment Industry Association
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• v.13 no.8
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• pp.303-311
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• 2019

is a film festival in conjunction with that shows about 50 works from 25 countries. It has become the only martial arts action film festival going on in Korea, with 32 feature films and 24 short films for a total of six days during the event from August 30 to September 6. has the slogan 'Muye, change the history of movies!' Through the movie, it sheds light on the value of life pursued by the martial arts spirit around Samjae, the core value of martial arts, and explores the aesthetic value of the most beautiful gesture that humans can make through the movement of martial arts centered on the space of dots, good and cotton. And through this film festival, I saw the potential to grow into a festival with the world. With this film festival, the identity of is established as a sustainable film festival, not as a single film festival, and image of martial arts action movies, which are part of genre movies, through the certainty of this image, differentiates itself from domestic and international film festivals, and does not stay in Northeast Asia or in Southeast Asia. Then, let's study the value of the future through the results of this film festival. In addition, we will study ways to increase the probability of growth as the best cultural and arts festival held along with the world's only international martial arts competition.

• Journal of Korean Tunnelling and Underground Space Association
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• v.19 no.1
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• pp.95-107
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• 2017

In this study, a preliminary study was undertaken for development of a tunnel incident automatic detection system based on a machine learning algorithm which is to detect a number of incidents taking place in tunnel in real time and also to be able to identify the type of incident. Two road sites where CCTVs are operating have been selected and a part of CCTV images are treated to produce sets of training data. The data sets are composed of position and time information of moving objects on CCTV screen which are extracted by initially detecting and tracking of incoming objects into CCTV screen by using a conventional image processing technique available in this study. And the data sets are matched with 6 categories of events such as lane change, stoping, etc which are also involved in the training data sets. The training data are learnt by a resilience neural network where two hidden layers are applied and 9 architectural models are set up for parametric studies, from which the architectural model, 300(first hidden layer)-150(second hidden layer) is found to be optimum in highest accuracy with respect to training data as well as testing data not used for training. From this study, it was shown that the highly variable and complex traffic and incident features could be well identified without any definition of feature regulation by using a concept of machine learning. In addition, detection capability and accuracy of the machine learning based system will be automatically enhanced as much as big data of CCTV images in tunnel becomes rich.