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소프트웨어 공학 : 클래스 특성 기계학습에 기반한 클래스 이름의 접미사 검증 기법
이홍석 ( Hongseok Lee ),이준하 ( Junha Lee ),이일로 ( Illo Lee ),박수진 ( Soojin Park ),박수용 ( Sooyong Park ) 한국정보처리학회 2015 정보처리학회논문지. 소프트웨어 및 데이터 공학 Vol.4 No.6
As software has gotten bigger in magnitude and the complexity of software has been increased, the maintenance has gained in-creasing attention for its significant impact on the cost. Identifiers have an impact on more than 90 percent of the readability which accounts for a majority portion of the maintenance activities. For this reason, the existing works focus on domain-specific features based on identifiers. However, their approaches have a limitation when either a class name does not reflect the intention of its context or a class naming is incorrect. Therefore, this paper suggests a series of class name validation process by extracting properties of classes, building learning model by applying a decision tree technique of machine learning, and generating a validation report containing the list of recommendable postfixes of classes to be validated. To evaluate this, four open source projects are selected and indicators such as precision, recall, and ROC curve present the value of this work when it comes to five specific postfixes including functional information on class names.
JungSun Lee,JunSoo Kwon,Daeho Kim,SungWan Kim,JaeJin Kim,JongHoon Kim,HeeJung Nam,Seunghyong Ryu,IlHo Park,SukKyoon An,HongSeok Oh,Seunghee Won,Kanguk Lee,KyuYoung Lee,SeungHwan Lee,YuSang Lee,JungSeo 대한신경정신의학회 2017 PSYCHIATRY INVESTIGATION Vol.14 No.1
Objective-We designed a nationwide study with limited exclusion criteria to investigate the prevalence of metabolic syndrome (MetS) in Korea and its relationship with antipsychotic medications. Methods-This multicenter, cross-sectional, and observational study included patients diagnosed with schizophrenia or schizoaffective disorder. Sixteen hospitals enrolled 845 patients aged 18 to 65 years prescribed any antipsychotic medication between August 2011 and August 2013. MetS was diagnosed using the criteria of the modified Adult Treatment Panel III of the National Cholesterol Education Program with the Korean abdominal obesity definition (waist circumference ≥85 cm in women, ≥90 cm in men). Results-The prevalence of MetS in all patients was 36.5% and was significantly higher in men than women (men, 40.8%; women, 32.2%) and was significantly correlated with age [odds ratio (OR) 1.02] and duration of illness (OR 1.03). The prevalence of MetS across antipsychotic drugs in the major monotherapy group was as follows: 18.8% for quetiapine, 22.0% for aripiprazole, 33.3% for both amisulpride and paliperidone, 34.0% for olanzapine, 35% for risperidone, 39.4% for haloperidol, and 44.7% for clozapine. Conclusion-The prevalence of MetS is very high in patients with schizophrenia or schizoaffective disorder. Screening and monitoring of MetS is also strongly recommended.
Early stature prediction method using stature growth parameters
Lee, Shin-Jae,An, Hongseok,Ahn, Sug-Joon,Kim, Young Ho,Pak, Sunyoung,Lee, Jae Won Informa UK Ltd 2008 Annals of human biology Vol.35 No.5
<P><I>Background</I>: The creation of an accurate growth prediction method for human stature at a stage of growth has been an interesting challenge in medical science and human biology.</P><P><I>Aim</I>: The aim of this study was to develop a non-radiographic final stature prediction method that is applicable in the early pubertal growth period.</P><P><I>Subjects and methods</I>: Randomly selected 12-year serial stature growth data for 400 Koreans were fitted with two nonlinear growth curves: Preece and Baines model 1 (PB1) and Jolicoeur-Pontier-Pernin-Sempe (JPPS) functions. Five biological parameters, including take-off (TO) related parameters, were derived by differentiation of the two curves, respectively. Those five variables were composed into a multiple linear regression equation for final stature prediction. In the cross-validation subjects, TO-related variables were estimated by linear interpolation from the partial growth data prior to estimation age, then incorporated into the prediction equation.</P><P><I>Results</I>: The final stature prediction model had excellent validity and accuracy when applied to the cross-validation samples. Prediction accuracy increased according to increasing years after take-off.</P><P><I>Conclusions</I>: This study suggests that a final stature prediction method using multiple regression analysis that includes biological parameters can predict stature growth with sufficient validity and accuracy. Incorporation of TO-related parameters allowed us to develop earlier growth evaluation and prediction methods compared with other previous methods.</P>
Study on the E-t Characteristics of GFRP for a High-Voltage Superconducting Apparatus
Hongseok Lee,Onyou Lee,Junil Kim,Hyoungku Kang Institute of Electrical and Electronics Engineers 2017 IEEE transactions on applied superconductivity Vol.27 No.4
<P>Power consumption has been increasing in industrial society [1]. The application of a superconducting apparatus is considered one of the most promising countermeasures against the increased power consumption. Additionally, the rated voltage of the superconducting apparatus has been being uprated to minimize the power loss. In order to ensure the electrical safety of a high-voltage superconducting apparatus, the dielectric design of solid insulation materials used in the high-voltage superconducting apparatus should be performed considering the aging characteristics. In this study, we examine the E-t characteristics of glass fiber reinforced plastic (GFRP), known to be one of the best solid insulation materials for cryogenic conditions [2]. Specifically, the E-t characteristics of GFRP according to its electric field uniformity are tested and analyzed to ensure the reliability of long-term operation. All the experiments are conducted in liquid nitrogen (LN2) to suppress the occurrence of creepage discharge and to promote the occurrence of electrical breakdown [3]. The experiments on the E-t characteristics of GFRP are performed with four kinds of sphere-plane electrode systems manufactured using stainless steel. The electric field uniformity and its relationship with electrical breakdown are analyzed using a finite element method, and the experimental results are analyzed using the Weibull distribution.</P>
Shape and Color Switchable Block Copolymer Particles by Temperature and pH Dual Responses
Lee, Junhyuk,Ku, Kang Hee,Park, Chan Ho,Lee, Young Jun,Yun, Hongseok,Kim, Bumjoon J. American Chemical Society 2019 ACS NANO Vol.13 No.4
<P>Herein, we report a simple and robust strategy for preparing dual-responsive shape-switchable block copolymer (BCP) particles, which respond to subtle temperature and pH changes near physiological conditions (i.e., human body temperature and neutral pH). The shape transition of polystyrene-<I>b</I>-poly(4-vinylpyridine) BCP particles between lens and football shapes occurs in very narrow temperature and pH ranges: no temperature-based transition for pH 6.0, 40-50 °C transition for pH 6.5, and 25-35 °C for pH 7.0. To achieve these shape transitions, temperature/pH-responsive polymer surfactants of poly(<I>N</I>-(2-(diethylamino)ethyl)acrylamide-<I>r</I>-<I>N</I>-isopropylacrylamide) are designed to induce dramatic changes in relative solubility and their location in response to temperature and pH changes near physiological conditions. In addition, the BCP particles exhibit reversible shape-transforming behavior according to orthogonal temperature and pH changes. Colorimetric measurements of temperature and pH changes are enabled by shape-transforming properties combined with selective positioning of dyes, suggesting promising potential for these particles in clinical and biomedical applications.</P> [FIG OMISSION]</BR>
Lee, Seongsoo,Park, Junyong,Cho, Kyungjun,Lee, Hyunsuk,Seo, Chulhun,Ahn, Seungyoung,Kim, Joungho,Kim, Dong-Hyun,Cho, Yeonje,Kim, Hongseok,Song, Chiuk,Jeong, Seungtaek,Song, Jinwook,Park, Gyeyoung,Hong Institute of Electrical and Electronics Engineers 2019 IEEE transactions on industrial electronics Vol.66 No.6
<P>In this paper, we first proposed a novel hybrid loop array (HLA) for low leakage electromagnetic field (EMF) level and high efficiency in a wireless high power transfer system. The proposed HLA effectively enhances the system efficiency and shields leakage EMF in a wireless power transfer (WPT) system using kHz range resonant frequency. The key originality of the proposed HLA is the combination of two types of loop coil; shielding loop coil (SLC) and amplifying loop coil (ALC). SLCs reduce leakage EMF, and ALCs significantly enhance the magnetic field from a Tx coil. The simulation and experiment results show that the proposed solution successfully overcomes the limitations of the existing solutions. Analytical modeling and design procedure are introduced and discussed. In addition, the experimental verification of the simulation result is included. We first designed and modeled an HLA considering the coupling effect of neighboring loop coils to evaluate its efficiency and leakage EMF. With the proposed HLA, we demonstrated a 9.36% improvement in the efficiency and 3 dBm reduction in the leakage EMF near the WPT system.</P>