• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.6
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• pp.177-186
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• 2015

This study is related to determination of the intention to watch a movie, which is affected by various emotional, environmental, and behavioral factors. In case of personal factors, personal taste formed on the basis of previously experienced movie related information affects selection of movies, while environmental factors are affected mostly by residental community experience, cognitive attitude, subjective norms, as well as the view of values. In this study, the determinants on decision to watch movie have been analyzed applying the theory of planned behavior. Taking into consideration that the determination, based on either personal factors or environmental factors, of consuming movie products stars from reasonable information collecting and that movie poster has been the primary source of information on movie products since the inception of the movie industry, this study analyzed tastes of movie watchers and many variables of movie poster format on determination of intention to watch movie. The results from this empirical study indicate that movie poster is effective means of low cost marketing inducing movie watching in terms of consuming minimum time and space with high speed of delivery while satisfying primary interest on the movie product. It is suggested movie posters should be prepared to make appeal to each generation of target consumers and be put on the market as a product of artistic work.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.32 no.3
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• pp.191-200
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• 2014

This study aims to analyze the current status of government-designated cultural heritage that are protected as sacred natural sites, focused on natural monuments and scenic sites, and provide basic research for these cultural heritage to be included in the protected area category. First, among natural cultural heritage that are designated and protected by Cultural heritage Protection Law, there are 40 scenic sites and 126 natural monuments that have been selected as sacred nature sites. Second, the study showed that sacred nature sites are sacred places that have been long associated with happiness and misfortune of the villagers, including Dangsan Forest, Seunghwanglim(Forest), and, as physical environment and combination of cultural value, rules, and attitude and belief system toward the land that protect the people. The unique folk beliefs of the region provide strong protection of the place. Third, although the natural monuments of old and large trees are not included in the protected area as they are recognized sparsely, but can be designated as world protected area as protected areas are set around sacred nature sites. Fourth, in order to be included in IUCN category, sacred natural sites of scenic sites will need to be managed by specific categories of each area according to the interior status of the designated areas and maintain the sustainability of the natural heritage by protecting both physical and spiritual elements.

• Journal of Korean Philosophical Society
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• v.143
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• pp.215-244
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• 2017

It is said that we live in an age of technology. And indeed, science and technology do play key roles to our life of happiness, but they are equally central in all events that threaten it. Science and technology are the means we often turn to in seeking solutions to our problems, and in turn are often the apparent sources of new problems. Thus it is not surprising that they have two aspects at the same time. CCTV has been presented to us as a technical solution to security problems. With the help of CCTV, we can more effectively prevent, detect, and prosecute crimes. With the help of CCTV, both public and private spaces can be made more secure. But of course, CCTV also has a down side. The down side most prominently anticipated has been loss of privacy and proliferation of surveillance. It is largely this potential problem with CCTV that has been regulated against. It is said that one reason for imposing a limitation on individual privacy is the societal interest in the prevention of crime. Accordingly a balance between the need to prevent crime through the use of CCTV and the duty to respect the privacy interests of individual citizens is in need of redress. In other hand, two theories of socio-political philosophy may have provided useful ways of understanding the role of CCTV in contemporary society. Firstly, neo-Marxist frameworks, for instance, stress the use of CCTV to police existing unequal socioeconomic divisions within society and the dominance of particular forms of order based upon materialist agendas. Secondly, Foucauldian frameworks contend that Foucault's notion of panoptic surveillance underpinning (self) disciplinary society is an appropriate template for understanding CCTV in late-modern society. In order to find a new point of valance between security and privacy in the use of CCTV, the participation of each citizen in the discourse to make the new norm is necessary. And to prevent its political misuse, their surveillance, or check for the potential surveillance-power is required.

• Korean Journal of Social Welfare
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• v.69 no.4
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• pp.41-65
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• 2017

This study aimed to examine the social transition, which is often metaphorized as the Fourth Industrial Revolution, within the context of social work practice and to explore measures to improve social work practice in such transition. Four social welfare researchers held seven discussions to predict the social changes in the near future centered on the Fourth Industrial Revolution and find the corresponding development strategies in social work practice; collective autobiography method was used to analyze the discussion. The analysis ascertained hyper connectivity, the advent and expansion of new communities, diversification and individualization, and the emergence of new criteria for the assessment of one's quality of life as the distinctive qualities of the near future. It was analyzed that humans and organic materials will be interconnected through spatial and temporal transcendence and that humans liberated from labor will seek for diverse communities while the number of atomized individual will increase simultaneously. Furthermore, the rise of new order of life accompanied by both the expansion of diversification and individualization and the ecological worldview brought forth by post materialistic trend was predicted. Meanwhile, the disengagement from macroscopic context, a biased inclination towards technique orientated professionalism, and individualistic social work practices without integrity were identified as the limitations of the current social work practice. This study presented three goals for social work practice to help it overcome its current shortcomings and correspond to the social changes: first, the rearrangement of practice knowledge, technique, and value so that it is based on humans and society, which are the essence of social practice work; second, the practice, such as sharing economy, that expands the individuals' boundaries of life to the community; three, the restoration of the desirability of professional social works by examining its special nature.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.30-30
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• 2020

본 연구에서는 여름철에 농업용수(벼농사용)로서 집중적으로 지하수를 사용하는 지역에서 시기별 지하수 사용에 따른 지하수 수질변화를 평가하기 위해 수행되었다. 연구지역은 충남 홍성군 양곡리와 신곡리 일부를 포함하는 면적 2.83 ㎢(283.3 ha)에 해당하는 지역이다. 연구지역 지하수 수질의 공간적 분포 및 시간적 변화 특성 평가를 위하여 2019년 2회(7월, 10월)에 걸쳐 지하수 관정(21개소)에 대하여 조사 및 분석을 수행하였다. 지하수 샘플은 현장에서 온도(T), pH, 용존산소(DO) 및 전기전도도(EC), 산화환원전위(Eh) 등을 측정하였고, 실험실에서 주요 양이온 및 미량원소(Ca, Mg, Na, K, Si, Sr), 음이온(F, Cl, Br, NO₂, NO₃, PO₄, SO₄), 알칼리도, 용존 유기탄소(DOC)와 용존 유기물(DOM) 등을 분석하였다. 지하수 수질조사 결과, 전체의 14~15개소(67~71%)가 Ca-HCO₃ 유형으로 분류되었으며, 다음으로는 Ca-Cl 유형이 4~5개소(19~24%)가 관찰되었다. 얕은 심도의 관정에서 상대적으로 심도가 깊은 관정보다 대부분 성분(TDS, Ca, Mg, Na, K, Cl, SO₄, HCO₃, DOC)에서 높은 농도를 나타내었다. 지하수의 수질자료를 이용하여 다변량통계분석법인 주성분분석(PCA: Principal Components Analysis)과 계층적 군집분석(HCA: Hierachical Cluster Anlaysis)를 수행한 결과, 초기 3개 주요 고유성분(eigenvalue)는 PC1 54.0%, PC2 14.2%, PC3 12.3%로 전체 분산의 88.3%를 설명할 수 있었다. PC1은 Ca, Mg, Na, K, Cl, SO₄, DOC가 주요한 영향 인자였으며 PC2는 HCO₃, NO₃, DO에 영향 받음을 확인하였다. 계층적 군집분석 결과, 연구지역 지하수는 Na-Cl 유형의 C-3 관정을 제외하고는 크게 두 그룹으로 구분되어 졌다. 다변량통계분석의 결과에서도 수리지화학, 동위원소, 용존유기물 등의 특성에서 나타나는 것과 유사한 연구지역의 수질특성을 확인할 수 있었다. 연구지역은 차시기 동안 수질변화는 일부 관정을 제외하고는 유의할 만한 수준으로 관찰되지는 않았고, 지하수 사용에 따른 지하수위 회복도 빠르게 진행되고 있는 것으로 나타났다.

• 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.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.31 no.2
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• pp.70-81
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• 2013

In this study, the locational and constructional characteristics of Jukrimseowon, pavilion Imrijeong, and Palgwaejeong located in Nonsan, Ganggyung-eup were reviewed and the interrelation of these three places were studied through references including records of those days; Sagyeyonbo(沙溪年譜), Jukrimseowon dorok(竹林書院都錄), Imrijeonggi(臨履亭記), Jukrimseowon Myojeongbi(竹林書院廟庭碑), Namyurok(南遊錄). The result is as follows. Jukrimseowon enshrining Yukhyeon(六賢) is arranged as 'Hongsalmoon-Woisalmoon-Dongjae(憲章堂; Heonjangdang)' and 'LIbrary-Naesammoon(神門; shin moon)-Sau(竹林祠: Jukimsa)', excluding a lecture hall. In case of Sagye Jangsang Kim's Imrijeong(沙溪金長生) and Uam Shiyoel Song(尤庵宋時烈)'s Palgwaejeong respectively constructed 50 meters and 10 meters each away from Jurimseowon, detail designs such as scale, roofs, surface, windows, doors, and tablets as well as its prospect are nearly identified. Especially Taking Imrijeong and Palgwaejeong's locational conditions composed of rocks centered on Jukrimseowon, those are maintain the bilateral symmetry as much as possible and surround the shrine. It appeared that the Jukrimseowon's shrine enshrining Yulgok(栗谷) and Ugye(牛溪) was rebuilt during the reconstruction of auditoriums because of political conditions after the renovation of Kiing Injo and it was called as 'Hwangsanseowon(黃山書院)' with Imrijeong which was a lecture hall. It was an inevitable consequence to keep the bilateral symmetry which is a basic order of auditorium structure by maintaining and using Imrijeong and Palgwaejeong as a lecture hall of the auditorium after the reconstruction at least. Consequently, the desperate attempt to adjust the arrangement and visual imbalance of Imrijeong built with periodical differences and Hwangsanseowon resulted from the construction of shrine was Palgwaejeong built under Monggoibyuk of Hwansan Taken these circumstances together, Jukrimseowon is a 'shrine-centered auditorium' with characteristics of auditorium, constructed by integrating Imrijeong which was used as a lecture hall after the construction of shrine and Palgwaejeong repaired through the reconstruction. The construction of Palgwaejeong and the formative conformity with Imrijeong are assumed as an consequence intended for the compensation of Jukrimseowon's function and role as an auditorium. This study will provide an opportunity to focus on the auditorium and pavilion's complementary function as well as the Confucian and constructional functions by revealing the fact that pavilions were established as a complementary facility for the lecture hall of auditorium.

• Journal of Korean Tunnelling and Underground Space Association
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• v.19 no.6
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• pp.915-936
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• 2017

In this study, current status of Korean hazard mitigation guideline for tunnel operation is summarized. It shows that requirement for CCTV installation has been gradually stricted and needs for tunnel incident detection system in conjunction with the CCTV in tunnels have been highly increased. Despite of this, it is noticed that mathematical algorithm based incident detection system, which are commonly applied in current tunnel operation, show very low detectable rates by less than 50%. The putative major reasons seem to be (1) very weak intensity of illumination (2) dust in tunnel (3) low installation height of CCTV to about 3.5 m, etc. Therefore, an attempt in this study is made to develop an deep-learning based tunnel incident detection system, which is relatively insensitive to very poor visibility conditions. Its theoretical background is given and validating investigation are undertaken focused on the moving vehicles and person out of vehicle in tunnel, which are the official major objects to be detected. Two scenarios are set up: (1) training and prediction in the same tunnel (2) training in a tunnel and prediction in the other tunnel. From the both cases, targeted object detection in prediction mode are achieved to detectable rate to higher than 80% in case of similar time period between training and prediction but it shows a bit low detectable rate to 40% when the prediction times are far from the training time without further training taking place. However, it is believed that the AI based system would be enhanced in its predictability automatically as further training are followed with accumulated CCTV BigData without any revision or calibration of the incident detection system.

• Journal of Korean Tunnelling and Underground Space Association
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• v.24 no.3
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• pp.247-262
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• 2022

In domestic tunnels, it is mandatory to install CCTVs in tunnels longer than 200 m which are also recommended by installation of a CCTV-based automatic accident detection system. In general, the CCTVs in the tunnel are installed at a low height as well as near by the moving vehicles due to the spatial limitation of tunnel structure, so a severe perspective effect takes place in the distance of installed CCTV and moving vehicles. Because of this effect, conventional CCTV-based accident detection systems in tunnel are known in general to be very hard to achieve the performance in detection of unexpected accidents such as stop or reversely moving vehicles, person on the road and fires, especially far from 100 m. Therefore, in this study, the region of interest is set up and a new concept of inverse perspective transformation technique is introduced. Since moving vehicles in the transformed image is enlarged proportionally to the distance from CCTV, it is possible to achieve consistency in object detection and identification of actual speed of moving vehicles in distance. To show this aspect, two datasets in the same conditions are composed with the original and the transformed images of CCTV in tunnel, respectively. A comparison of variation of appearance speed and size of moving vehicles in distance are made. Then, the performances of the object detection in distance are compared with respect to the both trained deep-learning models. As a result, the model case with the transformed images are able to achieve consistent performance in object and accident detections in distance even by 200 m.

• Journal of Korean Tunnelling and Underground Space Association
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• v.26 no.2
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• pp.129-152
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• 2024

In the application of deep learning object detection via CCTV in tunnels, a large number of false positive detections occur due to the poor environmental conditions of tunnels, such as low illumination and severe perspective effect. This problem directly impacts the reliability of the tunnel CCTV-based accident detection system reliant on object detection performance. Hence, it is necessary to reduce the number of false positive detections while also enhancing the number of true positive detections. Based on a deep learning object detection model, this paper proposes a false positive data training method that not only reduces false positives but also improves true positive detection performance through retraining of false positive data. This paper's false positive data training method is based on the following steps: initial training of a training dataset - inference of a validation dataset - correction of false positive data and dataset composition - addition to the training dataset and retraining. In this paper, experiments were conducted to verify the performance of this method. First, the optimal hyperparameters of the deep learning object detection model to be applied in this experiment were determined through previous experiments. Then, in this experiment, training image format was determined, and experiments were conducted sequentially to check the long-term performance improvement through retraining of repeated false detection datasets. As a result, in the first experiment, it was found that the inclusion of the background in the inferred image was more advantageous for object detection performance than the removal of the background excluding the object. In the second experiment, it was found that retraining by accumulating false positives from each level of retraining was more advantageous than retraining independently for each level of retraining in terms of continuous improvement of object detection performance. After retraining the false positive data with the method determined in the two experiments, the car object class showed excellent inference performance with an AP value of 0.95 or higher after the first retraining, and by the fifth retraining, the inference performance was improved by about 1.06 times compared to the initial inference. And the person object class continued to improve its inference performance as retraining progressed, and by the 18th retraining, it showed that it could self-improve its inference performance by more than 2.3 times compared to the initial inference.