• 제목/요약/키워드: two factor learning curve

검색결과 4건 처리시간 0.017초

2요인 학습곡선 모형을 이용한 한국의 태양광 발전 그리드패리티 예측 (Forecasting the Grid Parity of Solar Photovoltaic Energy Using Two Factor Learning Curve Model)

  • 박성준;이덕주;김경택
    • 산업공학
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    • 제25권4호
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    • pp.441-449
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    • 2012
  • Solar PV(photovoltaic) is paid great attention to as a possible renewable energy source to overcome recent global energy crisis. However to be a viable alternative energy source compared with fossil fuel, its market competitiveness should be attained. Grid parity is one of effective measure of market competitiveness of renewable energy. In this paper, we forecast the grid parity timing of solar PV energy in Korea using two factor learning curve model. Two factors considered in the present model are production capacity and technological improvement. As a result, it is forecasted that the grid parity will be achieved in 2019 in Korea.

Comparison of machine learning algorithms for regression and classification of ultimate load-carrying capacity of steel frames

  • Kim, Seung-Eock;Vu, Quang-Viet;Papazafeiropoulos, George;Kong, Zhengyi;Truong, Viet-Hung
    • Steel and Composite Structures
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    • 제37권2호
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    • pp.193-209
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    • 2020
  • In this paper, the efficiency of five Machine Learning (ML) methods consisting of Deep Learning (DL), Support Vector Machine (SVM), Random Forest (RF), Decision Tree (DT), and Gradient Tree Booting (GTB) for regression and classification of the Ultimate Load Factor (ULF) of nonlinear inelastic steel frames is compared. For this purpose, a two-story, a six-story, and a twenty-story space frame are considered. An advanced nonlinear inelastic analysis is carried out for the steel frames to generate datasets for the training of the considered ML methods. In each dataset, the input variables are the geometric features of W-sections and the output variable is the ULF of the frame. The comparison between the five ML methods is made in terms of the mean-squared-error (MSE) for the regression models and the accuracy for the classification models, respectively. Moreover, the ULF distribution curve is calculated for each frame and the strength failure probability is estimated. It is found that the GTB method has the best efficiency in both regression and classification of ULF regardless of the number of training samples and the space frames considered.

Feasibility of Linear-Shaped Gastroduodenostomy during the Performance of Totally Robotic Distal Gastrectomy

  • Wang, Bo;Son, Sang-Yong;Shin, Hojung;Roh, Chul Kyu;Hur, Hoon;Han, Sang-Uk
    • Journal of Gastric Cancer
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    • 제19권4호
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    • pp.438-450
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    • 2019
  • Purpose: Although linear-shaped gastroduodenostomy (LSGD) was reported to be a feasible and reliable method of Billroth I anastomosis in patients undergoing totally laparoscopic distal gastrectomy (TLDG), the feasibility of LSGD for patients undergoing totally robotic distal gastrectomy (TRDG) has not been determined. This study compared the feasibility of LSGD in patients undergoing TRDG and TLDG. Materials and Methods: All c: onsecutive patients who underwent LSGD after distal gastrectomy for gastric cancer between January 2009 and December 2017 were analyzed retrospectively. Propensity score matching (PSM) analysis was performed to reduce the selection bias between TRDG and TLDG. Short-term outcomes, functional outcomes, learning curve, and risk factors for postoperative complications were analyzed. Results: This analysis included 414 patients, of whom 275 underwent laparoscopy and 139 underwent robotic surgery. PSM analysis showed that operation time was significantly longer (163.5 vs. 132.1 minutes, P<0.001) and postoperative hospital stay significantly shorter (6.2 vs. 7.5 days, P<0.003) in patients who underwent TRDG than in patients who underwent TLDG. Operation time was the independent risk factor for LSGD after intracorporeal gastroduodenostomy. Cumulative sum analysis showed no definitive turning point in the TRDG learning curve. Long-term endoscopic findings revealed similar results in the two groups, but bile reflux at 5 years showed significantly better improvement in the TLDG group than in the TRDG group (P=0.016). Conclusions: LSGD is feasible in TRDG, with short-term and long-term outcomes comparable to that in TLDG. LSGD may be a good option for intracorporeal Billroth I anastomosis in patients undergoing TRDG.

원형 자동문합기를 이용한 체외문합을 시행한 복강경 보조 위전절제술: 한 술자에 의한 연속적인 48명 환자의 수술성적분석 (Laparoscopic Assisted Total Gastrectomy (LATG) with Extracorporeal Anastomosis and using Circular Stapler for Middle or Upper Early Gastric Carcinoma: Reviews of Single Surgeon's Experience of 48 Consecutive Patients)

  • 정오;김병식;육정환;오성태;임정택;김갑중;최지은;박건춘
    • Journal of Gastric Cancer
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    • 제8권1호
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    • pp.27-34
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    • 2008
  • 목적: 복강경 보조 위전절제술은 기술적 어려움과 환자수가 많지 않음으로 인하여 복강경 보조 위원위부 절제술에 비하여 연구가 많지 않은 상황이다. 따라서 저자들은 본원에서 시행한 복강경 보조 위전절제술의 수술성적과 수술후 경과 및 합병증 발생 예측인자와 복강경 보조 위전절제술의 학습곡선에 관하여 분석하였다. 대상 및 방법: 2005년 1월부터 2007년 9월까지 술 전 검사상 위의 중 상부에 위치한 조기위암(cT1N0)을 진단받고 한 술자에 의해 복강경 보조 위전절제술을 시행 받은 연속적인 48명의 환자를 대상으로 의무기록을 바탕을 후향적으로 분석하였다. 결과: 수술 중 합병증이나 개복수술로의 전환은 없었고 평균 수술시간은 $212{\pm}67$분이었다. 평균 적출 림프절 개수는 $29{\pm}10$개였고 모든 환자에서 안전한 종양 경계 면이 확보되었다. 수술 후 가스배출, 식이시작, 퇴원시기는 각각 평균 2.98일, 3.67일, 7.08일이었다. 외과적 합병증은 5명(10.4%)에서 발생하였고 모두 보전적 치료로 호전되었다. 단변량 및 다변량 분석에서 합병증 발생에 영향을 주는 유일한 인자는 체질량지순(P=0.035, HR=2.462)였으며 수술 시간을 기준으로 한 학습곡선 분석에서 20예가 학습곡선인 것으로 나타났다. 결론: 복강경 보조 위전절제술은 위의 중 상부에 위치한 조기위암에 대한 적절한 술식이며 수술성적과 수술 후 경과가 양호하다. 그러나 학습곡선을 단축하기 위해서는 복강경 보조 위원위부절제술의 충분한 경험이 필요하며, 특히 초기경험에서는 수술 후 합병증을 줄이기 위하여 환자 선택에 있어서 체질량지수를 고려하는 게 도움이 될 것으로 생각된다.

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