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      • KCI등재

        단일 공정에 의한 고효율 단일모드 반도체 레이저 구조 제작을 위한 고밀도 양자 나노구조 형성

        손창식,백종협,김성일,박용주,김용태,최훈상,최인훈,Son, Chang-Sik,Baek, Jong-Hyeob,Kim, Seong-Il,Park, Young-Ju,Kim, Yong-Tae,Choi, Hoon-Sang,Choi, In-Hoon 한국재료학회 2003 한국재료학회지 Vol.13 No.8

        We have developed a new way of the constant growth technique to maintain a grating height of originally-etched V-groove of submicron gratings up to 1.5 $\mu\textrm{m}$ thickness by a low pressure metalorganic chemical vapor deposition. The constant growth technique is well performed on two kinds of submicron gratings that made by holography and electron (e)-beam lithography GaAs buffer layer grown on thermally deformed submicron gratings has an important role in recovering the deformed grating profile from sinusoidal to V-shaped by reducing mass transport effects. The thermal deformation effect on submicron gratings made by e-beam lithography is less than that on submicron gratings made by holography. The constant growth technique is an important step to realize complex optoelectronic devices such as one-step grown distributed feedback lasers and two-dimensional photonic crystals.

      • KCI등재

        V 홈 바닥에 형성된 일차원 InAs 양자점

        손창식,최인훈,박용주,Son, Chang-Sik,Choi, In-Hoon,Park, Young-Ju 한국재료학회 2003 한국재료학회지 Vol.13 No.11

        One-dimensional array of InAs quantum dots (QDs) have been grown on V-grooved GaAs substrates by low-pressure metalorganic chemical vapor deposition. Atomic force microscope images show that InAs QDs are aligned in one-dimensional rows along the [011]oriented bottom of V-grooves and no QDs are formed on the sidewalls and the surface of mesa top. Capability to grow one-dimensional InAs QDs array would feasible for the single electron tunneling devices and other novel quantum-confined devices.

      • KCI등재

        연관 분류 마이닝 기법을 활용한 지식기반 신체활동 평가 모델

        손창식,최락현,강원석,Son, Chang-Sik,Choi, Rock-Hyun,Kang, Won-Seok 대한임베디드공학회 2018 대한임베디드공학회논문지 Vol.13 No.4

        Recently, as interest of wearable devices has increased, commercially available smart wristbands and applications have been used as a tool for personal healthy management. However most previous studies have focused on evaluating the accuracy and reliability of the technical problems of wearable devices, especially step counts, walking distance, and energy consumption measured from the smart wristbands. In this study, we propose a physical activity evaluation model using classification rules, induced from the associative classification mining approach. These rules associated with five physical activities were generated by considering activities and walking times in target heart rate zones such as 'Out-of Zone', 'Fat Burn Zone', 'Cardio Zone', and 'Peak Zone'. In the experiment, we evaluated the prediction power of classification rules and verified its effectiveness by comparing classification accuracies between the proposed model and support vector machine.

      • KCI등재

        러프 하한 근사를 갖는 로컬 커버링 기반 규칙 획득 기법을 이용한 섬망 환자의 분류 방법

        손창식,강원석,이종하,문경자,Son, Chang Sik,Kang, Won Seok,Lee, Jong Ha,Moon, Kyoung Ja 한국정보처리학회 2020 정보처리학회논문지. 소프트웨어 및 데이터 공학 Vol.9 No.4

        Delirium is among the most common mental disorders encountered in patients with a temporary cognitive impairment such as consciousness disorder, attention disorder, and poor speech, particularly among those who are older. Delirium is distressing for patients and families, can interfere with the management of symptoms such as pain, and is associated with increased elderly mortality. The purpose of this paper is to generate useful clinical knowledge that can be used to distinguish the outcomes of patients with delirium in long-term care facilities. For this purpose, we extracted the clinical classification knowledge associated with delirium using a local covering rule acquisition approach with the rough lower approximation region. The clinical applicability of the proposed method was verified using data collected from a prospective cohort study. From the results of this study, we found six useful clinical pieces of evidence that the duration of delirium could more than 12 days. Also, we confirmed eight factors such as BMI, Charlson Comorbidity Index, hospitalization path, nutrition deficiency, infection, sleep disturbance, bed scores, and diaper use are important in distinguishing the outcomes of delirium patients. The classification performance of the proposed method was verified by comparison with three benchmarking models, ANN, SVM with RBF kernel, and Random Forest, using a statistical five-fold cross-validation method. The proposed method showed an improved average performance of 0.6% and 2.7% in both accuracy and AUC criteria when compared with the SVM model with the highest classification performance of the three models respectively. 섬망은 의식 장애, 주의력 장애 및 언어력 장애와 같은 일시적인 인지 장애가 있는 환자, 특히 노인에서 나타나는 가장 흔한 정신 장애 중 하나이다. 섬망은 환자와 가족에게 고통을 주고, 통증과 같은 증상의 관리를 방해할 수 있으며 노인 사망률 증가와 관련이 있다. 본 논문의 목적은 장기 요양 시설에서 섬망 환자를 구별하는데 사용될 수 있는 유용한 임상적 지식을 생성하는데 있다. 이러한 목적을 위해, 러프 하한 근사 영역을 갖는 로컬 커버링 규칙 기법을 활용하여 섬망과 관련된 임상적 분류 지식을 추출하였다. 제안된 방법의 임상적 적용 가능성은 전향적 코호트 연구로부터 수집된 데이터를 활용하여 확인하였다. 연구 결과, 섬망 기간이 12일 이상 지속될 수 있는 6가지 유용한 임상적 증거를 발견하였고, 체질량 지수, 동반질환 지수, 입원경로, 영양결핍, 감염, 수면박탈, 욕창, 기저귀 사용과 같은 8가지 인자들이 섬망 결과를 구별하는 데 중요한 요인이라는 것을 확인하였다. 제안된 방법의 분류 성능은 통계적 5-겹 교차검정 방법을 사용하여 3가지 벤치마킹 모델, 즉 ANN, RBF 커널 함수를 활용한 SVM, 랜덤 포레스트와 비교하여 검증하였다. 제안된 방법은 3가지 모델 중 가장 높은 성능을 제공한 SVM 모델과 비교했을 때 정확도와 AUC 기준에서 평균 0.6%와 2.7% 개선된 성능을 보였다.

      • KCI등재

        호흡곤란환자의 입-퇴원 분석을 위한 규칙가중치 기반 퍼지 분류모델

        손창식,신아미,이영동,박형섭,박희준,김윤년,Son, Chang-Sik,Shin, A-Mi,Lee, Young-Dong,Park, Hyoung-Seob,Park, Hee-Joon,Kim, Yoon-Nyun 대한의용생체공학회 2010 의공학회지 Vol.31 No.1

        A rule weight -based fuzzy classification model is proposed to analyze the patterns of admission-discharge of patients as a previous research for differential diagnosis of dyspnea. The proposed model is automatically generated from a labeled data set, supervised learning strategy, using three procedure methodology: i) select fuzzy partition regions from spatial distribution of data; ii) generate fuzzy membership functions from the selected partition regions; and iii) extract a set of candidate rules and resolve a conflict problem among the candidate rules. The effectiveness of the proposed fuzzy classification model was demonstrated by comparing the experimental results for the dyspnea patients' data set with 11 features selected from 55 features by clinicians with those obtained using the conventional classification methods, such as standard fuzzy classifier without rule weights, C4.5, QDA, kNN, and SVMs.

      • KCI등재

        고농도로 탄소 도핑된 높은 밀러 지수 GaAs

        손창식,Son, Chang-Sik 한국재료학회 2003 한국재료학회지 Vol.13 No.11

        Heavily $p^{ +}$-typed ($10^{20}$ $cm^{-3}$ ) GaAs epilayers have been grown on high-index GaAs substrates with various crystallographic orientations from (100) to (111)A by a low-pressure metalorganic chemical vapor deposition. Carbon (C) tetrabromide (CBr$_4$) was used as a C source. At moderate growth temperatures and high V/III ratios, the hole concentration of C-doped GaAs epilayers shows the crystallographic orientation dependence. The bonding strength of As sites on a growing surface plays an important role in the C incorporation into the high-index GaAs substrates.

      • KCI등재

        데이터 이산화와 러프 근사화 기술에 기반한 중요 임상검사항목의 추출방법: 담낭 및 담석증 질환의 감별진단에의 응용

        손창식,김민수,서석태,조윤경,김윤년,Son, Chang-Sik,Kim, Min-Soo,Seo, Suk-Tae,Cho, Yun-Kyeong,Kim, Yoon-Nyun 대한의용생체공학회 2011 의공학회지 Vol.32 No.2

        The selection of meaningful clinical tests and its reference values from a high-dimensional clinical data with imbalanced class distribution, one class is represented by a large number of examples while the other is represented by only a few, is an important issue for differential diagnosis between similar diseases, but difficult. For this purpose, this study introduces methods based on the concepts of both discernibility matrix and function in rough set theory (RST) with two discretization approaches, equal width and frequency discretization. Here these discretization approaches are used to define the reference values for clinical tests, and the discernibility matrix and function are used to extract a subset of significant clinical tests from the translated nominal attribute values. To show its applicability in the differential diagnosis problem, we have applied it to extract the significant clinical tests and its reference values between normal (N = 351) and abnormal group (N = 101) with either cholecystitis or cholelithiasis disease. In addition, we investigated not only the selected significant clinical tests and the variations of its reference values, but also the average predictive accuracies on four evaluation criteria, i.e., accuracy, sensitivity, specificity, and geometric mean, during l0-fold cross validation. From the experimental results, we confirmed that two discretization approaches based rough set approximation methods with relative frequency give better results than those with absolute frequency, in the evaluation criteria (i.e., average geometric mean). Thus it shows that the prediction model using relative frequency can be used effectively in classification and prediction problems of the clinical data with imbalanced class distribution.

      • KCI등재

        박막 태양전지용 투명 전극을 위한 Ga 도핑된 ZnO의 증착 온도에 따른 구조 및 전기 특성 변화

        손창식,Son, Chang-Sik 한국재료학회 2011 한국재료학회지 Vol.21 No.3

        We have investigated the structural and optical properties of Ga-doped ZnO (GZO) thin films deposited by RF magnetron sputtering at various deposition temperatures from 100 to $500^{\circ}C$. All the GZO thin films are grown as a hexagonal wurtzite phase with highly c-axis preferred parameter. The structural and electrical properties are strongly related to deposition temperature. The grain size increases with the increasing deposition temperature up to $400^{\circ}C$ and then decreases at $500^{\circ}C$. The dependence of grain size on the deposition temperature results from the variation of thermal activation energy. The resistivity of GZO thin film decreases with the increasing deposition temperature up to $300^{\circ}C$ and then decreases up to $500^{\circ}C$. GZO thin film shows the lowest resistivity of $4.3{\times}10^{-4}\;{\Omega}cm$ and highest electron concentration of $1.0{\times}10^{21}\;cm^{-3}$ at $300^{\circ}C$. The mobility of GZO thin films increases with the increasing deposition temperature up to $400^{\circ}C$ and then decreases at $500^{\circ}C$. GZO thin film shows the highest resistivity of 14.1 $cm^2/Vs$. The transmittance of GZO thin films in the visible range is above 87% at all the deposition temperatures. GZO is a feasible transparent electrode for the application to the transparent electrode of thin film solar cells.

      • KCI등재

        Er 이온 주입된 GaN의 광학적 특성

        손창식,Son, Chang-Sik 한국전기전자재료학회 2005 전기전자재료학회논문지 Vol.18 No.12

        We have investigated the optical properties of Erbium (Er)-implanted GaN by photoluminescence (PL). Various doses of Er ion were implanted on GaN epilayers by ion implantation. Visible green emission lines due to inner 4f shell transitions for $Er^{3+}$ were observed from the PL spectrum of Er-implanted GaN. The emission spectrum consists of two narrow green lines at 537 and 558 nm. The green emission lines are identified as $Er^{3+}$ transitions from the $^{5}H_{11/2}$ and $^{4}S_{3/2}$ levels to the $^{4}I_{15/2}$ ground state. The stronger peaks in the case with the dose of $5{\times}10^{14}cm^{-2}$, together with the relatively higher intensity of the $Er^{3+}$ luminescence in the lower doped sample. It implies that some damage remains in the case with the dose of $1{\times}10^{16}cm^{-2}$. The peak positions of emission lines due to inner 4f shell transitions for $Er^{3+}$ do not change with increasing temperature. It indicates that $Er^{3+}$ related emission depends very little on the ambient temperature.

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