• International Journal of Advanced Culture Technology
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• v.11 no.1
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• pp.171-180
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• 2023

This study is to develop a performance analysis model for SMEs.Based on similar performance indicators through previous studies, performance indicators for SMEs were rewritten.Through the Korean Journal Citation Index (KCI), 75 related data were classified and a comprehensive SME performance analysis model was developed.Performance analysis was divided into two axes and classified into tables.The horizontal axis is the spatial performance range, which is divided into three areas: performance management by department/function, integrated performance management for the entire organization, and governance performance management requiring policy feedback. The vertical axis is subdivided into short-term, mid-term, and long-term by time and growth stage, and is divided into three parts: technical performance according to technological input, economic performance as organizational performance, and social performance for policy utilization. Then, performance indicators were mapped to each column. As a result of the survey, 28% of technical performance was analyzed as a result of frequency analysis, and performance indicators were organized into five categories: IT, R&D, certification, patent, and innovation. Economic performance was divided into 29%, BSC, HRD, logistics, production quality management, financial support, asset management, etc. 6 categories, social performance 43%, ESG, marketing, export, policy support, consulting, cooperation, etc. 7 categories.Limitations of the study include the narrowness of the survey that derived only performance indicators despite being a meta-analysis, and the performance model was mapped and classified according to growth stage and support period.however Insufficiency of validity due to lack of evidence, performance indicators were developed, but there were limitations in utilization for practical use.

• Journal of Korean Medicine Rehabilitation
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• v.33 no.3
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• pp.79-96
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• 2023

Objectives This study was designed to review the effect of Jakyakkamchobuja-tang on rat model with rheumatoid arthritis. Methods We used seven databases (PubMed, EMBASE, Cochrane CENTRAL, China National Knowledge Infrastructure, Oriental Medicine Advanced Searching Integrated System, Korean studies Information Service System, National Digital Science Library) from their inception to May 2023 without language restrictions. Systematic Review Centre for Laboratory Animal Experimentation's tool was used to evaluate the risk of bias. RevMan software (V5.4) was used for the meta-analysis. Results Five studies were selected following our inclusion criteria. The arthritis index decreased significantly (standardized mean difference=-2.06; 95% confidence interval=-3.07 to -1.04; p<0.0001) in Jakyakkamchobuja-tang group. Also, serum cytokines in serum and paw swelling degree decreased in Jakyakkamchobuja-tang group. Conclusions Jakyakkamchobuja-tang may be effective in treating rheumatoid arthritis. Although there is a limitation that the design of drug dosage varies between papers, it can be expected to be applied as an alternative to Western medicine, and it is believed to contribute to the standardization of herbal treatment for rheumatoid arthritis.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.47-47
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• 2022

최근 물순환 관리를 위하여 물순환 선도도시, 물순환 기본계획 등 물순환 연구가 진행되어지고 있다. 물순환 연구는 수문학적 물순환 개념에서 수량, 수질, 수생태, 농업, 지하수, 불투수 면적 등 수환경의 전반적인 부분에 걸쳐 개념이 확장되어지고 있다. 국내외에서는 이와같은 연구가 진행되어지고 있으며 기후변화에 대응하여 홍수, 가뭄등을 고려한 연구도 진행되어 지고 있다. 물순환의 범위가 넓어짐에 따라 수질, 수량, 수생태 등 수환경을 종합적으로 연계하여 연구할 필요가있다. 따라서 다양한 관점에서의 연구가 필요한 분야이다. 물순환은 기존의 수량적인 부분과 함께 수질, 수생태등 많은 분야 및 방대한 양의 자료가 적용되어 진다. 이는 빅데이터의 적용이 필수적이라고 할 수 있으며 통합물관리를 위한 빅데이터의 구축이 필수적이라고 판단된다. 빅데이터의 구축을 통해서 현재 수환경에 활용되어 지고 있는 평가지표를 수집하고 활용성을 분석하고자 한다. 지표 및 산정자료의 수집을 통해 통합물관리 빅데이터를 구축하고 선정된 지표를 적용하여 각 유역의 특성을 파악하고 문제점을 도출할 수 있는 통합물관리 지표의 적용성을 판단하고자한다. 기존에 활용되는 지수들은 각각의 분야만 산정이 가능하며 이를 통합적으로 산정할 필요가 있다. 본 연구에서는 통합물관리에서의 빅데이터의 적용성을 판단하고 선정된 통합관리지표가 유역의 물관리 상태를 판단하고 분석이 가능한 물환경 평가지표를 도출하고자 한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.10
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• pp.2788-2808
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• 2023

Brain tumors are one of the most threatening malignancies for humans. Misdiagnosis of brain tumors can result in false medical intervention, which ultimately reduces a patient's chance of survival. Manual identification and segmentation of brain tumors from Magnetic Resonance Imaging (MRI) scans can be difficult and error-prone because of the great range of tumor tissues that exist in various individuals and the similarity of normal tissues. To overcome this limitation, the Amended Convolutional Neural Network (ACNN) model has been introduced, a unique combination of three techniques that have not been previously explored for brain tumor detection. The three techniques integrated into the ACNN model are image tissue preprocessing using the Kalman Bucy Smoothing Filter to remove noisy pixels from the input, image tissue segmentation using the Isotonic Regressive Image Tissue Segmentation Process, and feature extraction using the Marr Wavelet Transformation. The extracted features are compared with the testing features using a sigmoid activation function in the output layer. The experimental findings show that the suggested model outperforms existing techniques concerning accuracy, precision, sensitivity, dice score, Jaccard index, specificity, Positive Predictive Value, Hausdorff distance, recall, and F1 score. The proposed ACNN model achieved a maximum accuracy of 98.8%, which is higher than other existing models, according to the experimental results.

• Tuberculosis and Respiratory Diseases
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• v.87 no.1
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• pp.91-99
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• 2024

Background: Tuberculous pleural effusion (TPE) and parapneumonic effusion (PPE) are often difficult to differentiate owing to the overlapping clinical features. Observational studies demonstrate that the ratio of lactate dehydrogenase to adenosine deaminase (LDH/ADA) is lower in TPE compared to PPE, but integrated analysis is warranted. Methods: We conducted a systematic review to evaluate the diagnostic accuracy of the LDH/ADA ratio in differentiating TPE and PPE. We explored the PubMed and Scopus databases for studies evaluating the LDH/ADA ratio in differentiating TPE and PPE. Results: From a yield of 110 studies, five were included for systematic review. The cutoff value for the LDH/ADA ratio in TPE ranged from <14.2 to <25. The studies demonstrated high heterogeneity, precluding meta-analysis. Quality Assessment of Diagnostic Accuracy Studies Tool 2 assessment revealed a high risk of bias in terms of patient selection and index test. Conclusion: LDH/ADA ratio is a potentially useful parameter to differentiate between TPE and PPE. Based on the limited data, we recommend an LDH/ADA ratio cutoff value of <15 in differentiating TPE and PPE. However, more rigorous studies are needed to further validate this recommendation.

• Fisheries and Aquatic Sciences
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• v.27 no.6
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• pp.337-345
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• 2024

This study looked at some biometric and reproductive aspects of the Common carp (Cyprinus carpio) - the overexploited fish species in the Geray Reservoir as a foundation to develop an efficient fisheries management strategy. 50 fish samples (20 to 44 cm and 130 to 2,400 g) were collected between October and May 2022 using a cast net with a mesh size of 6 cm. The ratio of male to female C. carpio (1:0.52) was deviating from the anticipated 1:1 ratio. The absolute fecundity of C. carpio was relatively low (12,375 to 31,392 eggs). Gonadosomatic index varied from 0.01 to 4.6 (male) to 0.24-12.75 (female), and the spawning period of C. carpio extended from December to January. The length-weight relationships for males (TW = 0.0009TL^3.87) and females (TW = 0.0007L^3.97) indicate that C. carpio had positive allometric growth; which may have been caused by unsuitable habitat conditions and overfishing. There is a need to develop fisheries management like implementing integrated conservation efforts and reducing wetland farming. For this, this information provides a baseline data.

• The Journal of the Korea Contents Association
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• v.20 no.6
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• pp.470-481
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• 2020

Cultural industry's role in national economic growth has increased gradually and drawn increasing attention due to the immense window effect on other industries. Especially, China has fully pushed forward with the development of cultural industry to sophisticate industrial structure since the 2000's. In Korea, the cultural industry has played the leading role in the national economic growth through intensive investment relatively early compared with China. Under the circumstance, this study compared the cultural industry efficiency between China and Korea to examine cultural industry's impact on economic growth and its potentials. The greatest difficulty in comparing the cultural industry efficiency between China and Korea is the development of comparable statistical data. This study chose the number of businesses and the number of employees as the input variables for efficiency analysis and the sales of cultural industry, the output variable. Also, the efficiency was comparatively analyzed through DEA-Malmquist index. Integrated DB about local governments and basic data from KOSIS were used for Korean data and the National Bureau of Statistics of China's data were used for Chinese data. The analysis period was set to 2013-2017. According to analysis, the Malmquist index for Korea was 1.048 and China, 1.041. In other words, Korea improved the efficiency by 4.8% during the analyzed period and China, 4.1%. This result can be attributed to the fact that the cultural industry in Korea was reaching maturity during this period while the cultural industry in China was entering the growth period.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.17 no.4
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• pp.57-67
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• 2014

The vigor condition of trees is an important indicator for the management of urban forested area. But difficulties in how to assess the tree vigor condition still remain. Previous efforts were limited in the 1) measurement of single indicator rather than using multiple indices, 2) purpose-oriented measurement such as for air-pollution effect or specific pathological symptom, and 3) ordinal-scale evaluations by field crews 4) despite human errors based on his/her experiences or prior knowledge. Therefore, this study attempted to develop a quantitative and objective methodology for assessing tree vigor condition, by measuring multiple modules and building the profile inventory. Furthermore, the possibility and limitations were discussed in terms of schematic frames describing tree vigor condition. The vigor condition of 56 flowering cherry plants in urban park were assessed by in-situ measurements of following eight items; growth of crown(Gc), growth of shoots, individual tree volume(Vol), plant area index, woody area index, leaf area index, leaf chlorophyll content(Lc) and leaf water content(Lw). For validation, these measurements were compared with the ranks of holistic tree vigor condition, which were visually assessed using a 4-point grading scale based on the expert's knowledge. As a result, the measures of each evaluation item successfully highlighted a variety of aspects in tree vigor condition, including the states of both photosynthetic and non-photosynthetic parts. The variation in the results depending on evaluated parts was shown within an individual tree, even though the broad agreement among the results was found. The result of correlation analysis between the tested measurements and 4-point visual assessment, demonstrated that the state of water-stressed foliage of the season (Lw) or the development of plant materials since sapling phase (Vol) could be better viewed from the outer appearance of trees than other symptoms. But only based on the visual assessment, it may be difficult to detect the quality of photosynthesis (Lc) or the recent trend in growth of trees (Gc). To make this methodology simplified for the broad-scale application, the tested eight measurements could be integrated into two components by principal component analysis, which was labelled with 'the amount of plant materials' and 'vigor trend', respectively. In addition, the use of these quantitative and multi-scale indicators underlies the importance of assessing various aspects of tree vigor condition, taking into account the response(s) on different time and spatial scale of pressure(s) shown in each evaluated module. Future study should be advanced for various species at diverse developing stages and environment, and the application to wide areas at a periodic manner.

• Journal of Environmental Policy
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• v.5 no.4
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• pp.51-84
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• 2006

The current study suggested plans to maintain excellent natural environment of national parks by prohibiting excessive use and introduced the concept of environment capacity using GIS. This paper is that researches on National Parks in the past studied were mostly on the natural resources, human resources, facilities and visitors as well as standard for management of these issues from individual perspective, this study defined concept of integrated (principle of overlay) carrying capacity. It also estimated environmental ecological conservation value considering ecological conservation and environment-ecological index and estimated visit attraction index based on attraction value of nature and facilities in the parks. And it suggested management index as a management plan for effective analysis and management of carrying capacity. As a result, in case of Mt. Jiri National Park, Grade 5 area requiring inducement occupied 71% while Grade 1 area requiring dispersion occupied 0.1%, which means the necessity of appropriate dispersion in the site. Moreover, this research aims to find a monitoring method, utilizing the concept of ubiquitous, for the continuous systematic monitoring on immense natural resources, facilities, and visitors. The continuable national park management plan was proposed by establishing quantitative, and qualitative objective of the environment capacity from the decision based on GIS public opinions from the gathered information. Through the GIS public opinion system and ubiquitous based technology, I propose the effective management technology method for national park.

• Korean Journal of Agricultural and Forest Meteorology
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• v.21 no.4
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• pp.261-268
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• 2019

Climate change and drought stress are having profound impacts on crop growth and development by altering crop physiological processes including photosynthetic activity. But finding a rapid, efficient, and non-destructive method for estimating environmental stress responses in the leaf and canopy is still a difficult issue for remote sensing research. We compared the relationships between photochemical reflectance index(PRI) and various optical and experimental indices on soybean drought stress under climate change conditions. Canopy photosynthesis trait, biomass change, chlorophyll fluorescence(Fv/Fm), stomatal conductance showed significant correlations with midday PRI value across the drought stress period under various climate conditions. In high temperature treatment, PRI were more sensitive to enhanced drought stress, demonstrating the negative effect of the high temperature on the drought stress. But high CO₂ concentration alleviated the midday depression of both photosynthesis and PRI. Although air temperature and CO₂ concentration could affect PRI interpretation and assessment of canopy radiation use efficiency(RUE), PRI was significantly correlated with canopy RUE both under climate change and drought stress conditions, indicating the applicability of PRI for tracking the drought stress responses in soybean. However, it is necessary to develop an integrated model for stress diagnosis using PRI at canopy level by minimizing the influence of physical and physiological factors on PRI and incorporating the effects of other vegetation indices.