• Journal of Oriental Neuropsychiatry
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• v.29 no.4
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• pp.267-280
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• 2018

Objectives: The objective of this study was to provide clinical evidence to support the use of a herbal medicine (Cheonwangbosim-Dan/Tianwangbuxin-Pellet (TWBXP)) for insomnia. Methods: Randomized controlled trials that verified effects of Herbal Medicine (Cheonwangbosim-Dan, Tianwangbuxin-Pellet) treating primary insomnia were carried out. A literature search of English, Chinese, Korean databases was also performed. The selected literature were assessed by Risk of Bias (RoB). Results: The total number of selected trials was 13 RCTs. Among the 13 RCTs, 10 were meta-analyzed. The Chinese Classification of Mental Disorders-3 (CCMD-3) was frequently used as the diagnostic criteria for interventions during the analysis of the use of herbal medicine (Cheonwangbosim-Dan/Tianwangbuxin-Pellet) for management of primary insomnia. As for outcome measurement, the effective rate was used. From the Meta-analysis of the studies, it was established that the insomnia cure effective rate in the TWBXP group was higher than that in the Western Medicine (WM) group (RR: 1.15, 95% CI: 1.07 to 1.24, p<0.0001, $I^2=33%$). Also, the effective rate in the TWBXP+ACU group was significantly different compared to the WM group (RR: 1.32, 95% CI: 1.13 to 1.54, p=0.0004, $I^2=0%$). The quality of the selected RCTs was low. Conclusions: Herbal medicine (Cheonwangbosim-Dan/Tianwangbuxin-Pellet) is effective for treating primary insomnia. It is worth noting that this studies were of relatively poor quality. The sample sizes were also small. Therefore, further investigations into the diagnosis and treatment of insomnia are warranted.

• Journal of The Korean Society of Agricultural Engineers
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• v.64 no.3
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• pp.9-24
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• 2022

Currently, a vast amount of hydrologic data is accumulated in real-time through automatic water level measuring instruments in agricultural reservoirs. At the same time, false and missing data points are also increasing. The applicability and reliability of quality control of hydrological data must be secured for efficient agricultural water management through calculation of water supply and disaster management. Considering the characteristics of irregularities in hydrological data caused by irrigation water usage and rainfall pattern, the Korea Rural Community Corporation is currently applying the Hampel filter as a water level data quality management method. This method uses window size as a key parameter, and if window size is large, distortion of data may occur and if window size is small, many outliers are not removed which reduces the reliability of the corrected data. Thus, selection of the optimal window size for individual reservoir is required. To ensure reliability, we compared and analyzed the RMSE (Root Mean Square Error) and NSE (Nash-Sutcliffe model efficiency coefficient) of the corrected data and the daily water level of the RIMS (Rural Infrastructure Management System) data, and the automatic outlier detection standards used by the Ministry of Environment. To select the optimal window size, we used the classification performance evaluation index of the error matrix and the rainfall data of the irrigation period, showing the optimal values at 3 h. The efficient reservoir automatic calibration technique can reduce manpower and time required for manual calibration, and is expected to improve the reliability of water level data and the value of water resources.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2006.11a
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• pp.597-601
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• 2006

There are considerable amount of man power and time spent for analysis and selection of various materials due to the inadequate application system and rapid searching process of material related information in each stage of building production process. Also, due to the insufficiency in recycling system of important information created for each process, they are hoarded at each task stage and project completion. As a result, because of the repetition of the similar/identical tasks on each process, it is the major reason for impeding the efficient employment of manpower of the company and decreasing competition of the company. Moreover, in selecting finish material in the project field, there are many difficulties due to the lack of technical information such as product characteristics and field applications. The construction quality also affects the profit and loss of the product which calls for a need to develop continued information management system that the finish material related examples could be shared in real time. The objective of this study is to propose a building finish material information which the real time research and application is possible to raise the productivity. TO do this, the current material information task status analysis and questionnaire research should be conducted to understand the demand of system development and reflect the result onto the system for easy access and application. Therefore, the building finish material information system for enhancement of productivity of construction task proposed in this study is expected to be utilized in enhancement of construction quality, maximization of company profit, and strengthening of company competition.

• Journal of Physiology & Pathology in Korean Medicine
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• v.29 no.6
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• pp.458-466
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• 2015

The purpose of this study was to review the research on treating depression in Traditional Chinese Medicine(TCM) over the last 5 years to set the foundation for further studies. We searched for and analyzed articles about depression in CNKI(China National Knowledge Infrastructure) from January 2010 to December 2014. The results were as follows : The most frequently used diagnostic criteria was CCMD-3(The Chinese Classification of Mental Disorders-3), and the most used evaluation criteria was HAMD(Hamilton Depression Rating Scale). Prescription of decoction of medical herbs was most frequently used as a therapeutic method. Acupuncture, traditional Chinese psychotherapy, and music therapy were also used for some studies. The most frequent TCM Syndrome Differentiation Type was stagnation of liver-QI. For decoction of Chinese herbs, Soyo-san(Xiaoyao-san) and Sihosogan-san(Chaihushugan-san) were most often prescribed, and Bupleuri Radix, Paeoniae Radix Alba, Curcumae Radix, Poria cocos wolf, Angelicae Gigantis Radix, Atractylodis Rhizoma Alba were mainly used for medical herbs. BaekHoi(GV20) and Yindang(Ex-HN3) were often used as acupuncture sites. Post-Stroke Depression was the most common case of intercurrent or secondary depression. According to the Jadad Quality Assessment Scale, the quality of the reports was not high as most of the reports had a score of 3 or below. Most systematic reviews on depression were conducted by Chinese researchers. The problem with Clinical research on depression, according to those reviews, was that there were no standardized criteria for the diagnosis and treatment and the trials were usually not randomized nor controlled. We found out there are various clinical methods for treating depression in TCM, and hope that this research could provide the preliminary data for designing and conducting clinical trials for depression.

• Journal of Korean Society of Environmental Engineers
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• v.34 no.9
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• pp.597-603
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• 2012

To investigate the effects of weir construction on sediment characteristics of river bed, we conducted sediments sampling on the 9 locations near the weir, Kangchun, Yuju and Ipo in Namhan-River. Physical and chemical characteristics of sediments were analyzed by measuring particle size distribution, water content, Ignition loss, COD (Chemical Oxyzen Demand), TOC (Total Organic Carbon), TP (Total Phosphorus), SRP (Soluble Reactive Phosphorus) and TN (Total Nitrogen). Particle classification of all three weir sediments showed sandy loam that was caused by the river bed dredging. Due to the presence of weir, Ignition loss, COD, TOC, TP, SRP and TN showed similar trend such as the concentrations of upward weir had higher than those of downward weir. For the case of SRP concentration and C/N ratio, however, there is not much difference in the sediment characteristics compared to the those of sediments before weir construction. Therefore, It can be predicted that there are little effects of weir construction on sediment characteristics. However, weir construction could influence water quality of the river by controlling the transport and the accumulation of suspended materials from rainfall. Therefore, more intensive monitoring is required to examine the magnitude and patterns of sediment accumulation which could influence overlying water quality.

• Atmosphere
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• v.24 no.3
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• pp.433-444
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• 2014

Although the Radar-AWS Rainrate (RAR) calculation system operated by Korea Meteorological Administration estimated precipitation using 2-dimensional composite components of single polarization radars, this system has several limitations in estimating the precipitation accurately. To to overcome limitations of the RAR system, the Korea Meteorological Administration developed and operated the RMQ (Radar-based Multi-sensor Quantitative Precipitation Estimation) system, the improved version of NMQ (National Mosaic and Multi-sensor Quantitative Precipitation Estimation) system of NSSL (National Severe Storms Laboratory) for the Korean Peninsula. This study introduced the RMQ system domestically for the first time and verified the precipitation estimation performance of the RMQ system. The RMQ system consists of 4 main parts as the process of handling the single radar data, merging 3D reflectivity, QPE, and displaying result images. The first process (handling of the single radar data) has the pre-process of a radar data (transformation of data format and quality control), the production of a vertical profile of reflectivity and the correction of bright-band, and the conduction of hydrid scan reflectivity. The next process (merger of 3D reflectivity) produces the 3D composite reflectivity field after correcting the quality controlled single radar reflectivity. The QPE process classifies the precipitation types using multi-sensor information and estimates quantitative precipitation using several Z-R relationships which are proper for precipitation types. This process also corrects the precipitation using the AWS position with local gauge correction technique. The last process displays the final results transformed into images in the web-site. This study also estimated the accuracy of the RMQ system with five events in 2012 summer season and compared the results of the RAR (Radar-AWS Rainrate) and RMQ systems. The RMQ system ($2.36mm\;hr^{-1}$ in RMSE on average) is superior to the RAR system ($8.33mm\;hr^{-1}$ in RMSE) and improved by 73.25% in RMSE and 25.56% in correlation coefficient on average. The precipitation composite field images produced by the RMQ system are almost identical to the AWS (Automatic Weather Statioin) images. Therefore, the RMQ system has contributed to improve the accuracy of precipitation estimation using weather radars and operation of the RMQ system in the work field in future enables to cope with the extreme weather conditions actively.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.26 no.3
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• pp.248-262
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• 2021

Marine planktonic ciliates include two major groups, loricated tintinnids and naked oligotrichs. The study of marine ciliate plankton in Korea began with taxonomic efforts on tintinnids based on the morphology of lorica, a vase-shaped shell. Despite polymorphism in the lorica, it is utilized as a key characteristic in identification of tintinnid species. However, oligotrichs have been studied only recently in Korea due to challenges associated with the observation of ciliary arrangements and the technical development for cell staining. Species diversity and phylogenetic classification of the ciliates have been informed by recent advances in morphological and molecular analyses. Illustrations of the planktonic ciliate in Korea have been published on the basis of taxonomic data of tintinnids and oligotrichs. Planktonic ciliates acting as the major consumers of pico- and nanoplankton as well as the prey of mesozooplankton, has been monitored by spatial and temporal investigations in Korean coastal waters. A practical approach addressing the limitations and potential of marine ciliate studies in Korea is proposed here to improve the data quality of planktonic ciliates, providing an enhanced basis for quality control of ciliate monitoring.

• Journal of Broadcast Engineering
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• v.21 no.4
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• pp.525-537
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• 2016

In this paper, we develop an online video mash-up system which use automatic scene elements composition scheme using a storyboard. There are two conventional online video production schemes. Video collage method is simple and easy, but it was difficult to reflect narrative or story. Another way is a template based method which usually select a template and it replaces resources such as photos or videos in the template. However, if the related templates do not exist, there are limitations that cannot create the desired output. In addition, the quality and atmosphere of the output is too dependent on the template. To solve these problems, we propose a video mash-up scheme using storyboard and we also implement a classification and recommendation scheme based on topic modeling.

• The KIPS Transactions:PartB
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• v.13B no.6 s.109
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• pp.585-590
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• 2006

Although motion estimation Plays an important role in digital video compression, complex search procedure is required to find an optimal motion vector. To reduce the search time, the search start point should be set up properly md efficient search pattern is needed. If the overall motion of the torrent block can be predicted, motion estimation can be performed efficiently. In this paper. block types are classified using candidate vectors and the motion activity of the block is predicted which leads to the search start point close to the optimal motion vector. The proposed method proves to be about 1.5$\sim$7 times faster than existing methods with about 0.02$\sim$0.2(dB) improvement of picture quality in images with large movements.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.6
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• pp.435-439
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• 2009

Software used in safety-critical system must have high dependability. Software testing and V&V (Verification and Validation) activities are very important for assuring high software quality. If we can predict the risky modules of safety-critical software, we can focus testing activities and regulation activities more efficiently such as resource distribution. In this paper, we classified the estimated risk class which can be used for deep testing and V&V. We predicted the risk class for each module using support vector machines. We can consider that the modules classified to risk class 5 and 4 are more risky than others relatively. For all classification error rates, we expect that the results can be useful and practical for software testing, V&V, and activities for regulatory reviews.