• 한국의학물리학회지:의학물리
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• 제13권4호
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• pp.181-186
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• 2002

세기조절 방사선 치료는 각각의 치료계획 시스템의 도스 최적화 알고리즘과 선형 가속기의 조합에 따라 다양하게 최적의 성능을 발휘 할 수 있다. 연세 암센터는 효과적인 방사선치료를 위하여 2002년 2월에 세기조절 방사선 치료 시스템을 도입하여 운영 중에 있으며 도입된 시스템은 CORVUS (Nomos, 미국) 치료계획 시스템과 LANTIS, PRIMEVIEW, PRIMART (Siemens, 미국)의 선형가속기 시스템으로 구성되어 있다. 최적화된 치료를 위해서는 CORVUS 치료계획기와 PRIMART 선형가속기의 적절한 조합 조건을 찾아 적용하는 것이 중요한 일이다. 이 Step ＆ Shoot 방식의 세기조절 방사선 치료기는 Finite Size Pencil Beams (FSPB) 도스모델과 simulated annealing method의 도스 최적화 알고리즘 및 IMFAST의 segmentation 알고리즘을 사용하고 있다. 본 연구는 segmentation 알고리듬에 관한 것으로 두개의 기본 beamlet 크기(1.0$\times$1.0 $\textrm{cm}^2$ 와 0.5$\times$1.0$\textrm{cm}^2$)와 4가지의 빔 세기 단계(5%, 10%, 20%, 33%)의 option을 4명의 상이한 환자 case에 대하여 적용하고 비교해 보았다. 상대적으로 작은 target 부피를 갖는 경우 TPS상의 segmentation의 설정에 민감하게 target 도스분포가 변하였으며 작은 beamlet일수록 intensity step을 작게 할수록 최적의 도스분포를 보여주었다.

• 오토저널
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• 제15권1호
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• pp.81-88
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• 1993

A direct treatment of the min-max type objective function of the dynamic response optimization problem is proposed. Previously, the min-max type objective function was transformed to an artificial design variable and an additional point-wise state variable constraint function was imposed, which increased the complexity of the optimization problem. Especially, the design sensitivity analysis for the augmented Lagrangian functional with the suggested treatment is established by using the adjoint variable method and a computer program to implement the proposed algorithm is developed. The optimization result of the proposed treatment are obtained for three typical problems and compared with those of the previous treatment. It is concluded that the suggested treatment in much more efficient in the computational effort than the previous treatment with giving the similar optimal solutions.

• 한국의학물리학회지:의학물리
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• 제23권2호
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• pp.106-113
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• 2012

본 연구에서는 종양이 간원개에 위치한 환자들을 대상으로 Eclipse 치료계획시스템(treatment planning system V8.9 : TPS, Varian)에서 쓰이는 두 종류의 선량계산 알고리즘(pencil beam convolution : PBC, anisotropic Analytical algorithm : AAA)들을 적용하여 육안적종양체적(gross tumor volume : GTV), 내부표적체적(internal target volume : ITV), 계획용표적체적(planning target volume : PTV) 및 주요 관심장기에 전달되는 선량의 변화를 정량적으로 평가하고, 선량분포에 영향을 미칠 수 있는 인자들을 분석하고자 하였다. 본원에서 치료받은 간암환자 20명을 대상으로 하였고 그 중 10명의 환자들에 대해서는 정위적 방사선치료(stereotactic body radiation therapy : SBRT) 기술을 적용, 다른 10명의 환자들에 대해서는 3차원 입체조형 방사선치료(three-dimensional conformal radiation therapy : 3DCRT) 기술을 적용하여 치료하였다. 조사선량은 우선적으로 PBC 알고리즘을 적용하여 선량계산을 하였고 동일한 빔 정렬 및 콜리메이터(Collimator), Monitor Unit (MU) 그리고 Field 가중치를 적용시켜서 AAA 선량계산법으로 다시 계산 한 후, 두 알고리즘에 대한 처방선량 100%에 해당하는 체적(V100)의 lesion coverage factor (CVF) 들을 비교하였다. SBRT 기술을 이용한 환자들의 치료계획에서 전체 PTV에 대한 CVF의 경우, 두 선량계산 알고리즘사이 통계학적으로 유의한 상관관계(p=0.018)를 보였다. 또한, 3DCRT 기술을 이용한 환자들의 치료계획에서는 전체 PTV (p=0.006), 간원개에 위치한 PTV (p=0.013), 전체 ITV (p=0.024)에 대하여 각각 통계학적으로 유의한 상관관계를 보였다. 복부에 위치한 주요 관심장기에 대하여 SBRT 기술을 이용한 환자들의 치료계획에서 정상 간과 신장에 조사되는 최대선량에 대하여 통계학적으로 각각 유의한 상관관계(정상간: p=0.009, 신장: p=0.037)를 보였다. 본 연구에서 선택한 선량변화 예측인자들에 대하여 대응표본 T-검정(paired T-test)을 시행한 결과, 전체 PTV에 대한 간원개에만 위치하는 PTV의 비율($PTV_{dome}$/PTV)과 두 알고리즘에 의한 CVF 비율의 상관관계에 있어서 통계학적으로 유의미한 상관관계를 보였다(p<0.01). 또한, 종양의 크기에 대한 두 알고리즘의 CVF 비율에 있어서 통계학적으로 의미가 있는 상관관계를 보였다(SRS환자 p=0.017, 3DCRT환자 p=0.023). 본 연구에서는 15MV x-ray beam으로 선량을 계산할 때 PBC와 AAA간의 선량계산 차이를 분석하여 선택한 선량변화 예측인자 중 간원개에 위치한 종양의 크기와 계획용 표적체적에 대한 관계성을 알아내었다. 일반적으로 15MV x-ray beam에 의한 선량분포를 정확하게 알아내는 것은 AAA으로도 불충분하다는 것이 일반적인 사실로 받아들여지고 있어 이를 AAA와 PBC간의 차이로 그 정확성을 간접적으로 유추하여 실질적인 선량분포에 대한 치료계획단계에서의 선량분포의 차이의 경향성을 보고자 하였다.

• 대한기계학회논문집A
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• 제21권10호
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• pp.1561-1570
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• 1997

This study explores the treatment of the max-value cost function over a parameter interval in parametric optimization. To avoid the computational burden of the transformation treatment using an artificial variable, a direct treatment of the original max-value cost function is proposed. It is theoretically shown that the transformation treatment results in demanding an additional equality constraint of dual variables as a part of the Kuhn-Tucker necessary conditions. Also, it is demonstrated that the usability and feasibility conditions on the search direction of the transformation treatment retard convergence rate. To investigate numerical performances of both treatments, typical optimization algorithms in ADS are employed to solve a min-max steady-state response optimization. All the algorithm tested reveal that the suggested direct treatment is more efficient and stable than the transformation treatment. Also, the better performing of the direct treatment over the transformation treatment is clearly shown by constrasting the convergence paths in the design space of the sample problem. Six min-max transient response optimization problems are also solved by using both treatments, and the comparisons of the results confirm that the performances of the direct treatment is better than those of the tranformation treatment.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• 제22권1호
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• pp.25-37
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• 2011

Objectives：This study was conducted to develop a Korean algorithm of pharmacological and non-pharmacological treatment strategies in attention-deficit hyperactivity disorder (ADHD) and its specific comorbid disorders (e.g. tic disorder, depressive disorder, anxiety disorder, bipolar disorder, and oppositional defiant disorder/conduct disorder). Methods：Based on a literature review and expert consensus, both paper- and web-based survey tools were developed with respect to a comprehensive range of questions. Most options were scored using a 9-point scale for rating the appropriateness of medical decisions. For the other options, the surveyed experts were asked to provide answers (e.g., duration of treatment, aver-age dosage) or check boxes to indicate their preferred answers. The survey was performed on-line in a self-administered manner. Ultimately, 49 Korean child & adolescent psychiatrists, who had been considered experts in the treatment of ADHD, vol untarily completed the questionnaire. In analyzing the responses to items rated using the 9-point scale, consensus on each option was defined as a non-random distribution of scores as determined by a chi-square test. We assigned a categorical rank (first line/preferred choice, second line/alternate choice, third line/usually inappropriate) to each option based on the 95% confidence interval around the mean rating score. Results：Specific medication strategies for key clinical situations in ADHD and its comorbid disorders were indicated and described. We organized the suggested algorithms of ADHD treatment mainly on the basis of the opinions of the Korean experts. The suggested algorithm was constructed according to the templates of the Texas Child & Adolescent medication algorithm Project (CMAP). Conclusion：We have proposed a Korean treatment algorithm for ADHD, both with and without comorbid disorders through expert consensus and a broad literature review. As the tools available for ADHD treatment evolve, this algorithm could be reorganized and modified as required to suit updated scientific and clinical research findings.

• Journal of Electrochemical Science and Technology
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• 제14권2호
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• pp.174-183
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• 2023

The dye wastewater discharge from the textile industries mainly affects the aquatic environment. Hence, the treatment of this wastewater is essential for a pollutant-free environment. The purpose of this research is to optimize the dye removal efficiency for process influencing independent variables such as pH, electrolysis time (ET), and current density (CD) by using Box-Behnken design (BBD) optimization and Genetic Algorithm (GA) modelling. The electrocoagulation treatment technique was used to treat the synthetically prepared Reactive Black dye solution under batch mode potentiometric operations. The percentage of error for the BBD optimization was significantly greater than for the GA modelling results. The optimum factors determined by GA modelling were CD-59.11 mA/cm², ET-24.17 minutes, and pH-8.4. At this moment, the experimental and predicted dye removal efficiencies were found to be 96.25% and 98.26%, respectively. The most and least predominant factors found by the beta coefficient were ET and pH respectively. The outcome of this research shows GA modeling is a better tool for predicting dye removal efficiencies as well as process influencing factors.

• 대한간호학회지
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• 제41권6호
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• pp.768-779
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• 2011

Purpose: This study was designed to adapt a surgical wound care algorithm that is used to provide evidence-based surgical wound care in a critical care unit. Methods: This study used, the 'ADAPTE process', an international clinical practice guideline development method. The -'Bonnie Sue wound care algorithm' - was used as a draft for the new algorithm. A content validity index (CVI) targeting 135 critical care nurses was conducted. A 5-point Likert scale was applied to the CVI test using a statistical criterion of .75. Results: A surgical wound care algorithm comprised 9 components: wound assessment, infection control, necrotic tissue management, wound classification by exudates and depths, dressing selection, consideration of systemic factors, wound expected outcome, reevaluate non-healing wounds, and special treatment for non-healing wounds. All of the CVI tests were ${\leq}$.75. Compared to existing wound care guidelines, the new wound care algorithm provides precise wound assessment, reliabilities of wound care, expands applicability of wound care to critically ill patients, and provides evidence and strength of recommendations. Conclusion: The new surgical wound care algorithm will contribute to the advancement of evidence-based nursing care, and its use is expected as a nursing intervention in critical care.

• 한국의학물리학회:학술대회논문집
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• 한국의학물리학회 2006년도 제33회 추계학술대회 발표논문집
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• pp.99-99
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• 2006

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1995년도 추계학술대회 학술발표 논문집
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• pp.153-158
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• 1995

In this paper, A new design method of fuzzy modeling is presented for the model identification of nonlinear complex systems. The proposed fuzzy GMDH modeling implements system structure and parameter identification using GMDH(Group Method of Data Handling) algorithm and linguistic fuzzy implication rules from input and output data of processes. In order to identify premise structure and parameter of fuzzy implication rules, GMDH algorithm and fuzzy reasoning method are used and the least square method is utilized for the identification of optimum consequence parameters. Time series data for gas furnaceare those for sewage treatment process are used for the purpose of evaluating the performance of the proposed fuzzy GMDH modeling. The results show that the proposed method can produce the fuzzy model with higher accuracy than other works achieved previously.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2019년도 춘계학술대회
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• pp.367-371
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• 2019

한의학의 '과학화'는 세계 속의 K-MEDI를 위해 선행되야 할 과제로 한약의 효능을 과학적으로 입증하는 작업을 통해 유효성 및 안전성이 확보하고자 노력하고 있다. 본 논문은 한의학적 유전병변 판독을 위한 바이오마커 추출 알고리즘을 제안함으로 한의학적 관점에서 응용되있는 다양한 한의학적 치료법의 진단 및 치료 효과의 객관화에 근거를 제시하였다.