• Journal of Cancer Prevention
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• v.23 no.4
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• pp.183-190
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• 2018

Background: As the number of big-cohort studies increases, validation becomes increasingly more important. We aimed to validate administrative database categorized as colorectal cancer (CRC) by the International Classification of Disease (ICD) 10th code. Methods: Big-cohort was collected from Clinical Data Warehouse using ICD 10th codes from May 1, 2003 to November 30, 2016 at Seoul National University Bundang Hospital. The patients in the study group had been diagnosed with cancer and were recorded in the ICD 10th code of CRC by the National Health Insurance Service. Subjects with codes of inflammatory bowel disease or tuberculosis colitis were selected for the control group. For the accuracy of registered CRC codes (C18-21), the chart, imaging results, and pathologic findings were examined by two reviewers. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) for CRC were calculated. Results: A total of 6,780 subjects with CRC and 1,899 control subjects were enrolled. Of these patients, 22 subjects did not have evidence of CRC by colonoscopy, computed tomography, magnetic resonance imaging, or positron emission tomography. The sensitivity and specificity of hospitalization data for identifying CRC were 100.00% and 98.86%, respectively. PPV and NPV were 99.68% and 100.00%, respectively. Conclusions: The big-cohort database using the ICD 10th code for CRC appears to be accurate.

• The Journal of Internal Korean Medicine
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• v.41 no.4
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• pp.612-623
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• 2020

Objectives: The aim of this research was to investigate and review the trends in recent clinical studies of multiple system atrophy (MSA) in China. Methods: We searched for clinical studies discussing Oriental medicine-based treatments for MSA in the China National Knowledge Infrastructure (CNKI) database. The search focused on the authors; publication year; type of study; method and duration of treatment; evaluation criteria; and results of the selected articles. Results: Among the articles retrieved from the database, eight case series, two randomized controlled trials (RCTs), and one non-randomized controlled trial (nRCT) were analyzed. Eight articles used acupuncture; ten used herbal medicine. The most frequently used acupoints were GV20, GV24, GB20, PC6, Hyeopcheok Acupoint, CV4, EX-HN3, and GV17. Jihwangeumja was the most commonly used herbal prescription. All 13 studies confirmed the efficacy of Oriental medicine treatments. Conclusions: More varied and scientifically designed clinical studies are required to develop treatments for MSA. The results of this study may provide guidance for further studies of MSA.

• The Journal of Internal Korean Medicine
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• v.43 no.4
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• pp.596-605
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• 2022

Objectives: This study investigated the latest clinical studies on Korean medicine treatment of idiopathic edema in the Chinese National Knowledge Infrastructure Database (CNKI). Methods: We searched the last 9 years of clinical studies discussing Oriental medicine-based treatments for idiopathic edema in the CNKI database. The search focused on the authors, publication year, type of study, purposes of study, method and duration of treatment, evaluation criteria, and results of the selected articles. Results: The search identified 7 randomized controlled trials (RCTs) and 9 others. All studies used oral herbal medicine for treatment. The most commonly used herbs were Poria Sclerotium (茯苓), Atractylodis Rhizoma Alba (白朮), and Alismatis Rhizoma (澤瀉), which are the constituent herbs of Oryeong-san (五苓散). All 16 studies confirmed the efficacy of Oriental medicine treatments. Conclusion: More varied and scientifically designed clinical studies are required to develop treatments for idiopathic edema. The results of this study could be used as basic data for further studies on idiopathic edema.

• The Journal of Internal Korean Medicine
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• v.42 no.3
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• pp.225-238
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• 2021

Objective: This research reviews and investigates the trends in recent clinical studies of polycystic kidney disease (PKD) in China. Method: We searched for clinical studies discussing Oriental medicine-based treatments for PKD in the China National Knowledge Infrastructure (CNKI) database. Thirteen clinical articles published from 2001 to 2019 were analyzed. The search focused on the authors, publication year, type of study, purposes of study, method and duration of treatment, evaluation criteria, and results of the selected articles. Results: Of the articles from the database, 9 case series and 4 randomized controlled trials (RCTs) were analyzed. Ten articles used herbal medicine; 4 used herbal medicine for external use. Gamigyejibokryeong-hwan was the most common herbal prescription. The most frequently used herb was Polia Sclerotium (茯苓), and Cnidii Rhizoma (川芎) was employed in all the external uses. All 13 studies confirmed the efficacy of Oriental medicine treatments. Conclusion: 1. Scientifically designed and more varied clinical studies are required to develop treatments for PKD. 2. The current study could be used as basic data in future clinical studies on treatment and further studies of PKD.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.20 no.4
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• pp.191-204
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• 2009

It is essential to estimate and evaluate for user satisfaction and quality management of database system, understanding of user needs and quality characteristics. Based on ISO 25000 series, it was suggested, the first research, that 5 main quality characteristics, 21 sub quality characteristics and 48 internal quality characteristics. There are comparative significance methods of main quality characteristics, sub quality characteristics and internal quality characteristics but it is not easy to use directly quality model in database system industry field. Also, Considering time and cost in quality evaluation, it is impossible to evaluate 48 internal quality characteristics and its level of quality evaluation is not equal in accordance with integrity level of database system. By using AHP, this study presents selection method of quality characteristics in weight and possibility of application quality model.

• International Journal of Computer Science & Network Security
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• v.23 no.10
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• pp.164-168
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• 2023

There are many possible ways to configure database management systems (DBMSs) have challenging to manage and set.The problem increased in large-scale deployments with thousands or millions of individual DBMS that each have their setting requirements. Recent research has explored using machine learning-based (ML) agents to overcome this problem's automated tuning of DBMSs. These agents extract performance metrics and behavioral information from the DBMS and then train models with this data to select tuning actions that they predict will have the most benefit. This paper discusses two engineering approaches for integrating ML agents in a DBMS. The first is to build an external tuning controller that treats the DBMS as a black box. The second is to incorporate the ML agents natively in the DBMS's architecture.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.25 no.2
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• pp.116-123
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• 2015

This paper proposed a new formula for predicting acoustic power transmission loss of simple expansion chamber with two internal partitions. Seventeen cases of computational results were performed and the database was constructed for the TL according to the various positions of internal partitions. Using this database, firstly, the formula for the peak values of TL at certain frequencies was developed using the least square estimation. Secondly, the formula for the TL curve could be obtained automatically with the input data of the positions of two internal partitions. The formula of TL developed in this paper showed good agreement with computational results. This formula will be helpful for the positioning of internal partitions to improve TL at target frequencies.

• The Journal of Internal Korean Medicine
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• v.42 no.6
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• pp.1184-1198
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• 2021

Objectives: The aim of this study was to investigate the latest clinical studies on Korean medicine treatment of post-concussion syndrome (PCS) in the Chinese National Knowledge Infrastructure Database (CNKI). Methods: We searched the last 10 years of clinical studies discussing Oriental medicine-based treatments for PCS in the CNKI database. The search focused on the authors, publication year, type of study, purpose of the study, method and duration of treatment, evaluation criteria, and results of each article. Results: Of the 22 selected studies, 1 was a non-randomized controlled trial (nRCT), 2 were case series, and 19 were randomized controlled trials (RCTs). Treatments included oral herbal medicine in 16 studies, oriental medicine through external use in 2 studies, acupuncture in 3 studies, and traditional Chinese medicine injection in 2 studies. The most frequently used herb was Cnidii Rhizoma (川芎). All 22 studies confirmed the efficacy of Oriental medicine treatments. Conclusion: More varied and scientifically designed clinical studies are required to develop treatments for PCS. The results of this study could be used as basic data for further PCS studies.

• Journal of the Korea Society of Computer and Information
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• v.25 no.9
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• pp.1-9
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• 2020

In this paper, we propose a method of in-depth analysis of internal operation process by recording library calls and related information that occur in the operation process of NoSQL database. It observes and records the specified library calls, compares the internal behavior differences between the NoSQL databases through recorded library call information, and evaluates the characteristics and scalability of each database by observing changes in the number of input data. The development of computing performance and the activation of big data have led to the emergence of different types of NoSQL databases for recording and analyzing various and large amounts of data, and it is necessary to evaluate the scalability of each database in order to select a database suitable for each environment. However, it is difficult to analyze or predict how a database operates in traditional ways, such as benchmarking, observing external behavior through performance models, or analyzing structural features based on design. Therefore, it is necessary to utilize the techniques proposed in this paper to understand the scalability of NoSQL databases with high accuracy.

• Wind and Structures
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• v.32 no.5
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• pp.439-452
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• 2021

The concept of Performance objective assessment is extended to wind engineering. This approach applies using the Database-Assisted Design technique, relying on the aerodynamic database provided by the National Institute of Standards and Technology (NIST). A structural model of a low-rise building is analyzed to obtain influence coefficients for internal forces and displacements. Combining these coefficients with time histories of pressure coefficients on the envelope produces time histories of load effects on the structure, for example knee and ridge bending moments, and eave lateral drift. The peak values of such effects are represented by an extreme-value Type I Distribution, which allows the estimation of the gust wind speed leading to the mean hourly extreme loading that cause specific performance objective compromises. Firstly a fully correlated wind field over large tributary areas is assumed and then relaxed to utilize the denser pressure tap data available but with considerably more computational effort. The performance objectives are determined in accordance with the limit state load combinations given in the ASCE 7-16 provisions, particularly the Load and Resistance Factor Design (LRFD) method. The procedure is then repeated for several wind directions and different dominant opening scenarios to determine the cases that produce performance objective criteria. Comparisons with two approaches in ASCE 7 are made.