• Korean Journal of Environment and Ecology
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• v.35 no.2
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• pp.204-219
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• 2021

This study was conducted to investigate and analyze the characteristics of the plant community structure of vegetation distributed on the western slope and ridge connecting Mt. Noja to Mt. Gara. This basic research was executed not only to restore and manage forest vegetation, but also to monitor the trend of change in the long term. As a result of classifying the communitise in 86 survey quadrats, the Pinus thunbergii-Platycarya strobilacea comm. and P. thunbergii-P. densiflora comm. were distributed around the lowlands. The Carpinus tschonoskii-Deciduous broad-leaved comm., Styrax japonicus-Deciduous broad-leaved comm., Acer pictum subsp. Mono-Deciduous broad-leaved comm., Deciduous broad-leaved comm., and Zelkova serrata comm. appeared in the valley and all stone areas. Quercus serrata comm., Q. serrata-S. japonicus comm., S. japonicus-Carpinus cordata comm., Euonymus oxyphyllus comm. were classified as being distributed on steep slopes with relatively high altitude. According to the succession trend of the forest, evergreen conifers will be transition to deciduous broad-leaved trees. However, deciduous broad-leaved arboreous forests, such as Carpinus tschonoskii, zelkova serrata, and Acer pictum subsp. Mono, were considered to maintain their current succession stage because not only the stratified structure was developed over about 50 years tree age, but also ecologically stabilized. As environmental factors, it was analyzed that altitude, pH, content of clay and silt, Mg⁺⁺, Ca⁺⁺, etc. directly or indirectly affect the distribution of plant communities.

• The Korean Journal of Archival Studies
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• no.38
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• pp.225-264
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• 2013

The Purpose of this study is to analyze an active discussion in North America about the issue of community archives governance which mainly focused on 'participatory archives' model and from it, draws implications for the present stage of domestic community archives development. Traditionally in the United States and Canada, local community archives have been built mostly by mainstream cultural institutions such as public archives, public libraries, museums, and historical societies as a part of comprehensive documentation of the society at large. At the same time, they have been processed and managed in accordance with the institution's collection development policy. As a result, most community archives in North America are characterized as top-down community archives model (in contrast with down-up model of 'independent' community archives as a part of grass roots movement in the UK). Recently, the community archives in North America with these characteristics try to overcome their limitations, which result in 'the others' of community archives, through governance, that is, community-institution partnership. Participatory archives model which assumes active community participation in all archives processes is being suggested by archival communities as the effective alternative of governance model of top-down community archives. This discussion of community archives governance suggests progressive direction for the present stage of domestic community archives, which has been built mostly by various mainstream cultural institutions and still has been stayed in 'about the community' stage. Particularly, community outreach strategies that participatory archives model concretely suggests are useful as a conceptual framework in building community archives based on community-institution partnership in reality.

• The Korean Journal of Archival Studies
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• no.46
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• pp.5-44
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• 2015

This article purposes to define archival justice and suggest democratic modeling of the archive on the Truth and Reconciliation Committee (TRC), which is focused on victims of state violence. These purposes come from critical mind that the absence of framework of the records management for collective memory would cause incorporation of TRC archives into mainstream archives systems in which voices of victims have been marginalized. This article intends to expand theoretical prospects of documentation of past affairs through applying humanistic and theoretical frameworks differently from institutional and policy approaches on restoration of collective memory. In order to do this, this article first considers archival justice as archives building in which state violence' victims are pivotal and then extracts theoretical frameworks for building the archives based on archival justice from recent discourses of post-colonial archives and community archives. As the next step, it criticizes current conditions of TRC archives in Korea on the basis of extracted theoretical frames and finally suggests realistic models in which each theoretical frame could be applied effectively into TRC archives that is focused on victims.

• Journal of the Korea Convergence Society
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• v.11 no.12
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• pp.39-47
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• 2020

In this paper, we proposed a deep learning-based detection method using Saliency Attention to detect salient objects in images. The salient object detection separates the object where the human eye is focused from the background, and determines the highly relevant part of the image. It is usefully used in various fields such as object tracking, detection, and recognition. Existing deep learning-based methods are mostly Autoencoder structures, and many feature losses occur in encoders that compress and extract features and decoders that decompress and extend the extracted features. These losses cause the salient object area to be lost or detect the background as an object. In the proposed method, Saliency Attention is proposed to reduce the feature loss and suppress the background region in the Autoencoder structure. The influence of the feature values was determined using the ELU activation function, and Attention was performed on the feature values in the normalized negative and positive regions, respectively. Through this Attention method, the background area was suppressed and the projected object area was emphasized. Experimental results showed improved detection results compared to existing deep learning methods.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.39 no.3
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• pp.141-148
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• 2021

This paper presents a method to detect zebra-crossing using deep learning which combines SegNet and ResNet. For the blind, a safe crossing system is important to know exactly where the zebra-crossings are. Zebra-crossing detection by deep learning can be a good solution to this problem and robotic vision-based assistive technologies sprung up over the past few years, which focused on specific scene objects using monocular detectors. These traditional methods have achieved significant results with relatively long processing times, and enhanced the zebra-crossing perception to a large extent. However, running all detectors jointly incurs a long latency and becomes computationally prohibitive on wearable embedded systems. In this paper, we propose a model for fast and stable segmentation of zebra-crossing from captured images. The model is improved based on a combination of SegNet and ResNet and consists of three steps. First, the input image is subsampled to extract image features and the convolutional neural network of ResNet is modified to make it the new encoder. Second, through the SegNet original up-sampling network, the abstract features are restored to the original image size. Finally, the method classifies all pixels and calculates the accuracy of each pixel. The experimental results prove the efficiency of the modified semantic segmentation algorithm with a relatively high computing speed.

• Land and Housing Review
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• v.13 no.1
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• pp.67-84
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• 2022

This study aims to investigate the value of greenbelts exploring how they can be linked with green infrastructure networks. This research interprets the results of geographical information system (GIS) analysis differently from a conventional approach. The findings of the research are four-fold based on the analysis of the Daejeon Metropolitan Area. First, the most controversial greenbelts are laid on Yuseong-gu because the relaxation of the greenbelts for new housing development has caused outstanding issues since the early 2000s. Decisions on further relaxation or restoration of the greenbelts, which will provide a new direction for the establishment of green infrastructure networks, should be made through accurate environmental assessments. Second, the connected north-south corridors of large cities will affect the greenbelts not only in Daejeon, but also in the entire Chungcheong Provinces, and surrounding local municipalities, which should be considered for the revision of the greenbelt policy. Third, it is expected to experience growing development pressures towards neighboring municipalities due to the ongoing strict greenbelt policy. Among them, the most likely areas are Sejong City to the north and Nonsan to the south, requiring policy measures. Fourth, the value of green infrastructure should be added to current evaluation criteria rather than a binary approach - relaxing or preserving the greenbelts - to be holistically integrated with a metropolitan plan.

• Journal of Broadcast Engineering
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• v.26 no.4
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• pp.429-440
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• 2021

With the recent development of deep convolutional neural network learning, deep learning techniques applied to single image super-resolution are showing good results. One of the existing deep learning-based super-resolution techniques is RDN(Residual Dense Network), in which the initial feature information is transmitted to the last layer using residual dense blocks, and subsequent layers are restored using input information of previous layers. However, if all hierarchical features are connected and learned and a large number of residual dense blocks are stacked, despite good performance, a large number of parameters and huge computational load are needed, so it takes a lot of time to learn a network and a slow processing speed, and it is not applicable to a mobile system. In this paper, we use the residual dense structure, which is a continuous memory structure that reuses previous information, and the residual dense channel attention block using the channel attention method that determines the importance according to the feature map of the image. We propose a method that can increase the depth to obtain a large receptive field and maintain a concise model at the same time. As a result of the experiment, the proposed network obtained PSNR as low as 0.205dB on average at 4× magnification compared to RDN, but about 1.8 times faster processing speed, about 10 times less number of parameters and about 1.74 times less computation.

• Journal of the Korea Society of Computer and Information
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• v.27 no.12
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• pp.9-16
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• 2022

In this paper, we propose a plan to design and utilize the RDBS(Record Block Data file management System) so that data can be recovered when data files in the Combat Management System are mismatched. The CMS(Combat Management System) manages the same files in multiple IPN(Infomation Processing Node) repositories to support multiplexing. However, mismatches in data files can occur due to equipment maintenance or user immaturity. The existing CMS does not manage the history of changes in data files, and when a mismatch occurs, data file were synchronized based on the latest date. But, It is difficult to say that files with the latest date have the highest reliability, and once the file synchronization has progressed, it cannot be recovered with pre-synchronization data. To solve this problem, data was stored and synchronized in units of record blocks using RDBS proposed in this paper, and the Rsync algorithm was used to reduce the overhead of file synchronization due to units of record blocks. SW applied with RDBS was tested for performance in a simulated environment, and it was confirmed that it could be applied to CMS through normal operation confirmation.

• Journal of International Area Studies (JIAS)
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• v.12 no.4
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• pp.67-88
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• 2009

In April, 1995, ANC government was established in South Africa. The Black government set up Truth and Reconciliation Committee in November, 1995. The Committee investigated approximately 50,000 cases for 3years. Through this process, Black and White in SA could be united into one. Finally, the system of racial discrimination, lasting for about 300 years, was abolished. The Committee played a role as a social infra-structure, which was to perform and solidify democracy in SA. Reconciliation, agreement, Participation, equality, Communication, and Reformation of law system were practically implemented by the Committee. Many people evaluate TRC's activity, which had the reformative and democratic character of the object of investigation, investigative criterion, investigative process, and the approval of investigative result. But De Klerk evaluates that TRC retaliated the White with legal. J. Cronin evaluates that TRC transiently change democracy of the South Africa, and many other social movement groups had a negative view about TRC. But the Black and White in South Africa transformed 'discriminated society' into 'united one'. The Committee took the initiative in such a change. The Committee was not an organization needed for the policy, but the committee was the policy itself to change the former society to the new one. Now The ANC government was forwarding TRC's roles and functions to the truth and reconciliation bureau of the Justice Department for further action. The ANC government has to execute some policy for social reconciliation. Firstly, the government needs to build construction social and national system for making close investigation into the White's historical guilt. Secondly, it must be executed to TRC's recommendation pursuit social reform of social infra-structure in the South Africa. Thirdly, The government should execute policy for the Black's right as labors and social member. Lastly, the government must investigate still-remaining historic state violence and infringement of human right for social reconciliation.

• Journal of the Daesoon Academy of Sciences
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• v.28
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• pp.73-102
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• 2017

This paper is an attempt to find commonality and complementarity between psychanalysis and Daesoon thought, while understanding the practical meaning of the Haewon-Sangsaeng, which is one of the religious doctrines of Daesoon Jinrihoe, in terms of the theory of desire posited by psychoanalysis. There is a common point between Daesoon thought and psychoanalytic theory since both ideas give importance to desire. The Haewon idea is similar to that of psychoanalytic theory, which emphasizes restoring desire through mourning and realizing it within a structure of inter-subjectivity. Of course, the meaning of desire in Daesoon thought, given its status as a religious doctrine, is polysemous, and the orientation of this type of desire is also different from that of psychoanalysis given psychoanalysis's role as a therapeutic discourse. However, Daesoon thought explains that the pain and unhappiness suffered by human beings occurs because of mutual overcoming which is a relational style wherein desire can not be solved properly for either party involved in an interaction. Mutual overcoming is a state of mutual beneficience beyond the previous state of mutual overcoming. Likewise, psychoanalysis seems to accept the loss of the object through mourning, and in this way, desire is reactivated. Daesoon thought emphasizes the importance of social and cosmic systems like mutual beneficience and the reordering of the Universe and these systems have a commonality with psychoanalysis as psychoanalysis sees desire positively within the structure of inter-subjectivity. The direction of social practice in Daesoon thought and psychoanalysis both aim at the realization of a new universality. The inter-subjectivity structure suggests desire of recognition and recognition of desire as a way of practice because desire is not personal but rather social. In conclusion, we should not stop at resolving our own individual desires, but should instead go forward in solidarity toward the achieving the common good.