• Korean Journal of Microbiology
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• v.30 no.2
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• pp.113-118
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• 1992

To elucidate a part of phosphorus cycle an'd the nutritional status of phosphorus. the degradation rates of organic phosphate by phosphatase activity (PA). were studied at the water column of Lake Soyang. from March 1900 to April 1991. Phosphatase activity showed the range of 1-2220 nMillhr. Its maximum value was recortled on August and minimum during October and November. The PA and chlorophyll u v~luess howed high correlation coefficent (0.69). and the values of specific astivity was highest during Winter, 45-12\ulcorner nMihripg chl. a, and lowest on October. 2 nMl hripg chl. 11. The values of PA and bioavailable dissolved inorganic phosphate (DIP) showed negative correlation in surface water. During destratification period (Oct. and Nov. 1990). the values of PA were about 11240 times lower than those during August albeit high concentration of chlorophyll a (1.7- 7.2 mglm'). Such results seem to be cause'd by DIP supply from the metalimnion. hypolimnion ant1 sediment. With these results. phosphate was sufficient to sustain the biomass in Autumn. and internal loading of phosphate shoultl accelerate the eutrophication in Lake Soyang.

• Journal of The Korean Association of Information Education
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• v.21 no.2
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• pp.171-181
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• 2017

Each City & Provincial office of education has provided educational informatization training, which invites its partner country's teachers as part of 'e-Learning Globalization Project.' The purposes of this training program are, a) improving nation brand power by maintaining e-learning national competitiveness and strengthening influence, b) solving digital divide by sharing Korean best practices, c) establishing partnership through exchanges and cooperation, d) capacity building which support partner country's leading teachers can play key roles to spread educational informatization in their own country. It is necessary to reflect outcomes of training program until now and to find sustainable development plan, at 10th anniversary of Education ICT training program now. In order to fulfil purposes, qualitative research was conducted to analyze current status based on context, input, process, and product phases, and to find sustainable development alternative. In-depth interview(IDI) was conducted among supervisor, officials, and teachers from partner countries. Also, the result of IDI was analyzed by themes.

• Journal of Korean Society of Environmental Engineers
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• v.35 no.4
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• pp.268-275
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• 2013

To evaluate the effects of submerged aerators installed at Chudong and Muneui areas in Daechung Reservoir on improvement of water quality and reduction of algal bloom, the water quality was monitored at the effected and control areas at the time of operation. The water temperature and concentrations of dissolved oxygen, total phosphorus, and total nitrogen in depth at the effected and control areas were not different each other, indicating the submerged aerators at these areas are not effective for circulation of water body and reduction of nutrients. In warmer season, the concentrations of total phosphorus in deep water, which was probably released from contaminated sediment or inflowed from watershed, was high. To decide the operation of aerators in this season, the concentration of total phosphorus in water should be considered because the dispersed phosphorus by operation of aerators can enhance the algal growth.

• Korean Journal of Construction Engineering and Management
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• v.7 no.5
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• pp.53-63
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• 2006

Since 2005, the government began to introduce and promote a new project delivery system, BTL(Build, Transfer, and Lease), in order to provide high level of public services for the upgraded quality of life and to boost the domestic and local construction economy. However, the lack of experiences in the new system by the constituents from diverse economic sectors brought a number of drawbacks from each constituent's perspective such as improperly low earning rate, excessive expenses for preparation of the project proposal, imbalanced regulations, heavy cost and procedures to establish SPC, the ineffective structure of the consortium, the short-term oriented evaluation criteria for the selection and so forth. These drawbacks turned out to be obstacles for the successful BTL projects. Hence, this paper analyzes the above issues and conducts the interviews with the professionals from the diverse sectors in order to propose the changes to resolve those for the improvement and finally to deliver the successful BTL projects for the diverse public owners.

• Smart Media Journal
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• v.11 no.3
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• pp.26-30
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• 2022

Spiking neural network is a neural network that applies the working principle of real brain neurons. Due to the biological mechanism of neurons, it consumes less power for training and reasoning than conventional neural networks. Recently, as deep learning models become huge and operating costs increase exponentially, the spiking neural network is attracting attention as a third-generation neural network that connects convolution neural networks and recurrent neural networks, and related research is being actively conducted. However, in order to apply the spiking neural network model to the industry, a lot of research still needs to be done, and the problem of model retraining to apply a new model must also be solved. In this paper, we propose a method to minimize the cost of model retraining by extracting the weights of the existing trained deep learning model and converting them into the weights of the spiking neural network model. In addition, it was found that weight conversion worked correctly by comparing the results of inference using the converted weights with the results of the existing model.

• Journal of Wetlands Research
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• v.26 no.1
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• pp.114-125
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• 2024

Wetlands in the living area are important ecological resources that are the basis for the daily life or farming activities of local residents, and have high ecological value such as ecosystem services and green infrastructure. This study was carried out to develop a functional evaluation methodology optimized for small-scale wetlands(RAMS). Based on on-site evaluation by experts, surveys and in-depth interviews, four functional items, including biodiversity, health, hydrophilic culture and ecology, water circulation, and carbon absorption, and 15 detailed indicators, and the evaluation grade for each detailed indicator, were developed on a 5-point scale. The evaluation methodology optimized for small-scale living areas wetlands (RAMS) proposed as a result of this study can be used as basic data for conservation and restoration and management of small-scale living areas wetlands at home and abroad.

• Journal of the Korean Institute of Landscape Architecture
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• v.51 no.2
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• pp.94-102
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• 2023

The Florence Charter, established in 1981 by the ICOMOS-IFLA International Commission on Historic Gardens, considered the historic garden as a plant-dominated architectural composition, a perpetual balance between the artist and the artisan's desire to remain unaltered in perpetuity. Trees, the main component of the garden, require continuous management as they repeat their creation and calling according to the cycle of the seasons and accordingly, it is suggested that management to maintain the appearance of trees in Korean palaces was an indispensable element. Although it is an important matter to historically verify the tree management techniques of the palaces of the past, research has been difficult due to the absence of historical records and the disconnection of life due to the Japanese colonial period. In addition, according to the view that trees were not generally managed in the palace, research on palace tree management techniques has not been conducted so far. Therefore, this study aimed to examine whether or not the tree management of the palaces was performed in the past through expert interviews based on photographs taken in modern times. With the identification of tree species and pruning through in-depth interviews with experts using photographs taken in the modern period, the results are as follows. First, it was found that the shapes of trees and leaves could be identified through photographs and by observing the phenomena caused by planting and pruning, it was possible to estimate whether or not the tree management was implemented in the modern palace. Second, as a result of in-depth interviews with 8 experts in 4 fields, it was possible to determine the tree species and pruning status, purpose, and method. There was no significant difference in opinions between groups, and the evidence was clearly presented. Third, the type of management of trees in the palace was mainly found to be determination of the types of tree, removal of hazardous factors of trees, and management of lower vegetation and through the photographs of Jondeokjeong and Gwanwanjeong, it was confirmed that the trees were managed even before the Japanese colonial era, considering the time of filming. Based on the photographs taken, it was possible to estimate whether the trees were managed before the Japanese colonial period through expert interviews. However, it could not be clarified due to lack of historical materials as to whether it was carried out on its own according to the circumstances of the times or by the Japanese Empire. Still, in this study, evidence was obtained to refute the view that trees of the palace were not managed in the past through the collected data. Expert opinions supporting this view were collected to make the conclusion. In addition, based on the general theory of pruning, an empirical review of expert opinions was conducted to secure the reliability of the research results.

• Korean Journal of Ecology and Environment
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• v.51 no.2
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• pp.160-167
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• 2018

The role played by reservoirs in the biogeochemical cycles of elements is a subject of ongoing debate. Recent research has revealed that reservoirs emit significant levels of greenhouse gases. To assess the importance of reservoirs in monsoon climate areas as a source of methane gas into the atmosphere, we investigated variations in organic carbon (OC) input into the reservoir, oxic state changes, and finally the amount of methane emitted (focusing on the ebullition pathway) in Lake Soyang, which is the largest reservoir in South Korea. Total organic carbon (TOC) concentrations were higher during summer after two years of heavy rainfall. The sedimentation rates of particulate organic carbon (POC) and particulate organic nitrogen (PON) were higher in the epilimnion and hypolimnion than the metalimnioin, indicating that autochthonous and allochthonous carbon made separate contributions to the TOC. During stratification, oxygen depletion occurred in the hypolimnion due to the decomposition of organic matter. Under these conditions, $H_2S$ and $CH_4$ can be released from sediment. The methane emissions from the reservoir were much higher than from other natural lakes. However, the temporal and spatial variations of methane ebullition were huge, and were clearly dependent on many factors. Therefore, more research via a well-organized field campaign is needed to investigate methane emissions.

• Journal of the Korean Institute of Landscape Architecture
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• v.44 no.3
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• pp.65-78
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• 2016

LID(Low-Impact Development) has received a great deal of attention in the field of urban water management. The spread of LID technologies as a natural drainage system has led to a rise in consideration of the applicability of policy in Korea. In this respect, the purpose of this study is to analyze experts' perception about utilization, applicability of policy, and improvements of LID by using Q-methodology. The sample included 31 experts who were government employees, landscape architects, researchers, and professors related to LID. All participants completed a 28-statement Q-sort task. Data was analyzed by using QUANL computer software. As a result of this study, four distinct experts' perceptions about LID are identified: Policy Enforcement Oriented Type, Expert Understanding Oriented Type, Manual Oriented Type, and Effectiveness Oriented Type. This study suggested appropriate directions related to LID technologies, and it is helpful to apply the domestic type's LID and increase the efficiency of LID in Korea. However, this study has a limit in which the viewpoint of the researcher intervenes: a complementary searcher is needed to verify the validity by type in policy decision-making.

• Journal of Intelligence and Information Systems
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• v.26 no.2
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• pp.1-25
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• 2020

In this paper, we suggest an application system architecture which provides accurate, fast and efficient automatic gasometer reading function. The system captures gasometer image using mobile device camera, transmits the image to a cloud server on top of private LTE network, and analyzes the image to extract character information of device ID and gas usage amount by selective optical character recognition based on deep learning technology. In general, there are many types of character in an image and optical character recognition technology extracts all character information in an image. But some applications need to ignore non-of-interest types of character and only have to focus on some specific types of characters. For an example of the application, automatic gasometer reading system only need to extract device ID and gas usage amount character information from gasometer images to send bill to users. Non-of-interest character strings, such as device type, manufacturer, manufacturing date, specification and etc., are not valuable information to the application. Thus, the application have to analyze point of interest region and specific types of characters to extract valuable information only. We adopted CNN (Convolutional Neural Network) based object detection and CRNN (Convolutional Recurrent Neural Network) technology for selective optical character recognition which only analyze point of interest region for selective character information extraction. We build up 3 neural networks for the application system. The first is a convolutional neural network which detects point of interest region of gas usage amount and device ID information character strings, the second is another convolutional neural network which transforms spatial information of point of interest region to spatial sequential feature vectors, and the third is bi-directional long short term memory network which converts spatial sequential information to character strings using time-series analysis mapping from feature vectors to character strings. In this research, point of interest character strings are device ID and gas usage amount. Device ID consists of 12 arabic character strings and gas usage amount consists of 4 ~ 5 arabic character strings. All system components are implemented in Amazon Web Service Cloud with Intel Zeon E5-2686 v4 CPU and NVidia TESLA V100 GPU. The system architecture adopts master-lave processing structure for efficient and fast parallel processing coping with about 700,000 requests per day. Mobile device captures gasometer image and transmits to master process in AWS cloud. Master process runs on Intel Zeon CPU and pushes reading request from mobile device to an input queue with FIFO (First In First Out) structure. Slave process consists of 3 types of deep neural networks which conduct character recognition process and runs on NVidia GPU module. Slave process is always polling the input queue to get recognition request. If there are some requests from master process in the input queue, slave process converts the image in the input queue to device ID character string, gas usage amount character string and position information of the strings, returns the information to output queue, and switch to idle mode to poll the input queue. Master process gets final information form the output queue and delivers the information to the mobile device. We used total 27,120 gasometer images for training, validation and testing of 3 types of deep neural network. 22,985 images were used for training and validation, 4,135 images were used for testing. We randomly splitted 22,985 images with 8:2 ratio for training and validation respectively for each training epoch. 4,135 test image were categorized into 5 types (Normal, noise, reflex, scale and slant). Normal data is clean image data, noise means image with noise signal, relfex means image with light reflection in gasometer region, scale means images with small object size due to long-distance capturing and slant means images which is not horizontally flat. Final character string recognition accuracies for device ID and gas usage amount of normal data are 0.960 and 0.864 respectively.