• Communications for Statistical Applications and Methods
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• 제21권5호
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• pp.411-422
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• 2014

A classification ensemble method aggregates different classifiers obtained from training data to classify new data points. Voting algorithms are typical tools to summarize the outputs of each classifier in an ensemble. WAVE, proposed by Kim et al. (2011), is a new weight-adjusted voting algorithm for ensembles of classifiers with an optimal weight vector. In this study, when constructing an ensemble, we applied the WAVE algorithm on the double-bagging method (Hothorn and Lausen, 2003) to observe if any significant improvement can be achieved on performance. The results showed that double-bagging using WAVE algorithm performs better than other ensemble methods that employ plurality voting. In addition, double-bagging with WAVE algorithm is comparable with the random forest ensemble method when the ensemble size is large.

• Journal of the Korean Data and Information Science Society
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• 제27권1호
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• pp.255-264
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• 2016

Classification is a predictive modeling for a categorical target variable. Various classification ensemble methods, which predict with better accuracy by combining multiple classifiers, became a powerful machine learning and data mining paradigm. Well-known methodologies of classification ensemble are boosting, bagging and random forest. In this article, we assume that decision trees are used as classifiers in the ensemble. Further, we hypothesized that tree size affects classification accuracy. To study how the tree size in uences accuracy, we performed experiments using twenty-eight data sets. Then we compare the performances of ensemble algorithms; bagging, double-bagging, boosting and random forest, with different tree sizes in the experiment.

• 수산해양기술연구
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• 제32권1호
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• pp.33-41
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• 1996

In order to obtain the most favourable classification system for fishing gears, the problems in the existing systems were investigated and a new system in which the fishing method was adopted as the criterion of classification and the kinds of fishing gears were obtained by exchanging the word method into gear in the fishing methods classified newly for eliminating the problems was established. The new system to which the actual gears are arranged is as follows ; (1)Harvesting gear \circled1Plucking gears : Clamp, Tong, Wrench, etc. \circled2Sweeping gears : Push net, Coral sweep net, etc. \circled3Dredging gears : Hand dredge net, Boat dredge net, etc. (2)Sticking gears \circled1Shot sticking gears : Spear, Sharp plummet, Harpoon, etc. \circled2Pulled sticking gears : Gaff, Comb, Rake, Hook harrow, Jerking hook, etc. \circled3Left sticking gears : Rip - hook set line. (3)Angling gears \circled1Jerky angling gears (a)Single - jerky angling gears : Hand line, Pole line, etc. (b)Multiple - jerky angling gears : squid hook. \circled2Idly angling gears (a)Set angling gears : Set long line. (b)Drifted angling gears : Drift long line, Drift vertical line, etc. \circled3Dragged angling gears : Troll line. (4)Shelter gears : Eel tube, Webfoot - octopus pot, Octopus pot, etc. (5)Attracting gears : Fishing basket. (6)Cutoff gears : Wall, Screen net, Window net, etc. (7)Guiding gears \circled1Horizontally guiding gears : Triangular set net, Elliptic set net, Rectangular set net, Fish weir, etc. \circled2Vertically guiding gears : Pound net. \circled3Deeply guiding gears : Funnel net. (8)Receiving gears \circled1Jumping - fish receiving gears : Fish - receiving scoop net, Fish - receiving raft, etc. \circled2Drifting - fish receiving gears (a)Set drifting - fish receiving gears : Bamboo screen, Pillar stow net, Long stow net, etc. (b)Movable drifting - fish receiving gears : Stow net. (9)Bagging gears \circled1Drag - bagging gears (a)Bottom - drag bagging gears : Bottom otter trawl, Bottom beam trawl, Bottom pair trawl, etc. (b)Midwater - drag gagging gears : Midwater otter trawl, Midwater pair trawl, etc. (c)Surface - drag gagging gears : Anchovy drag net. \circled2Seine - bagging gears (a)Beach - seine bagging gears : Skimming scoop net, Beach seine, etc. (b)Boat - seine bagging gears : Boat seine, Danish seine, etc. \circled3Drive - bagging gears : Drive - in dustpan net, Inner drive - in net, etc. (10)Surrounding gears \circled1Incomplete surrounding gears : Lampara net, Ring net, etc. \circled2Complete surrounding gears : Purse seine, Round haul net, etc. (11)Covering gears \circled1Drop - type covering gears : Wooden cover, Lantern net, etc. \circled2Spread - type covering gears : Cast net. (12)Lifting gears \circled1Wait - lifting gears : Scoop net, Scrape net, etc. \circled2Gatherable lifting gears : Saury lift net, Anchovy lift net, etc. (13)Adherent gears \circled1Gilling gears (a)Set gilling gears : Bottom gill net, Floating gill net. (b)Drifted gilling gears : Drift gill net. (c)Encircled gilling gears : Encircled gill net. (d)Seine - gilling gears : Seining gill net. (e)Dragged gilling gears : Dragged gill net. \circled2Tangling gears (a)Set tangling gears : Double trammel net, Triple trammel net, etc. (b)Encircled tangling gears : Encircled tangle net. (c)Dragged tangling gears : Dragged tangle net. \circled3Restrainting gears (a)Drifted restrainting gears : Pocket net(Gen - type net). (b)Dragged restrainting gears : Dragged pocket net. (14)Sucking gears : Fish pumps.

• 한국정보과학회논문지:소프트웨어및응용
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• 제30권3_4호
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• pp.251-258
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• 2003

Support Vector Machine(SVM)은 이론상으로 좋은 일반화 성능을 보이지만, 실제적으로 구현된 SVM은 이론적인 성능에 미치지 못한다. 주 된 이유는 시간, 공간상의 높은 복잡도로 인해 근사화된 알고리듬으로 구현하기 때문이다. 본 논문은 SVM의 분류성능을 향상시키기 위해 Bagging(Bootstrap aggregating)과 Boosting을 이용한 SVM 앙상블 구조의 구성을 제안한다. SVM 앙상블의 학습에서 Bagging은 각각의 SVM의 학습데이타는 전체 데이타 집합에서 임의적으로 일부 추출되며, Boosting은 SVM 분류기의 에러와 연관된 확률분포에 따라 학습데이타를 추출한다. 학습단계를 마치면 다수결 (Majority voting), 최소자승추정법(LSE:Least Square estimation), 2단계 계층적 SVM등의 기법에 개개의 SVM들의 출력 값들이 통합되어진다. IRIS 분류, 필기체 숫자인식, 얼굴/비얼굴 분류와 같은 여러 실험들의 결과들은 제안된 SVM 앙상블의 분류성능이 단일 SVM보다 뛰어남을 보여준다.

• 농업과학연구
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• 제40권2호
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• pp.107-113
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• 2013

충남 천안지역에 재배되고 있는 국내신육성 조중생종 배 '원황' 및 '화산'을 공시하여 외지의 색깔을 달리한 3종의 이중봉지를 만개 후 35-65일까지 10일 간격으로 괘대한 후 수확기에 과실을 수확하여 색택 및 과실품질을 비교하였다. 봉지간 광차단율을 조사한 결과, 회색외지를 사용한 과실의 광차단율이 유의하게 높아 광투과율이 0.46%로 황색외지의 43.7% 및 신문지의 40.0%에 비해 높은 것으로 나타났다. 두 품종 모두 괘대시기가 늦을수록 적색도($a^*$)이 증가하는 경향을 보였으나 괘대 시기가 만개 후 65일로 늦은 경우에는 과피가 지나치게 붉은색으로 착색되거나 착색의 균일도가 떨어져 외관이 심하게 떨어졌다. 과실의 수확기 가용성고형물, 산함량 등 품질요인은 봉지종류 및 괘대시기에 따라 큰 차이를 보이지 않았으나 회색외지 처리과실의 수확기 경도편차가 가장 적게 조사되었다. 본 실험결과, 회색외지를 사용한 경우 과실품질요인의 저하 없이 '원황'과 '화산' 배 과실의 과피색 발현에 유리한 결과를 보였다.

• International Journal of Precision Engineering and Manufacturing
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• 제2권3호
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• pp.47-53
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• 2001

This paper investigates the characteristics of interlaminar fracture toughness of foam core sandwich structures under opening mode by using the double cantilever beam (DCB) specimens which are Carbon/Epoxy and foam core composites. Instead of using a DCB specimen of symmetric geometry, a non-symmetric DCB specimen was used to calculate the interlaminar fracture toughness. Three approaches for calculating the energy release rate(G$\sub$IC/) were used and fracture toughness of foam core sandwich structures made by autoclave, vacuum bagging and hotpress were compared. Experiment, analysis using nonlinear beam bending theory, and numerical work by FEM methods were performed. Bonding surface compensation and equivalent moment of inertia were used to calculate the energy release rate in nonlinear analytical work. Conclusions of experimental, nonlinear analytical and FEM methods were compared. It is, also, shown that the vacuum bagging forming can substitute the method of autoclave without serious loss of Mode I energy release rate(G$\sub$I/).

• 한국정밀공학회지
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• 제17권9호
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• pp.81-86
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• 2000

This paper was carried out to investigate the characteristics of interlaminar fracture toughness of foam core sandwich structures under opening loading mode by using the double cantilever beam (DCB) specimens in Carbon/Epoxy and foam core composites. instead of using symmetric geometry of DCB specimen non-symmetric DCB specimen was used to calculate the interlaminar fracture toughness. Three approaches for calculating the energy release rate({{{{ {G }_{IC } }}}}) were compared. Fracture toughness of foam core sandwich structures by autoclave vacuum bagging and hotpress were compared and analyzed. Experiment nonlinear beam bending FEM method were performed. Suggested bonding surface compensation and equivalent area inertia moment was used to calculate the energy release rate in nonlinear analytical results. The conclusions among experimental nonlinear analytical and FEM results was observed. The vacuum bagging method was shown to be able to substitute method in stead of autoclave without serious loss of Mode I energy release rate({{{{ {G }_{IC }}}}}) to be able to substitute method in stead of autoclave without serious loss of Mode I energy release rate({{{{ {G }_{IC }}}}}).

• Structural Engineering and Mechanics
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• 제72권3호
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• pp.305-312
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• 2019

This paper investigates the effect of utilizing vacuum bagging process to enhance the bond behavior between fiber reinforced polymer (FRP) composites and concrete substrate. Sixty specimens were prepared and tested using double-shear bond test. The effect of various parameters such as vacuum, fiber type, and FRP sheet length and width on the bond strength were investigated. The experimental results revealed that utilizing vacuum leads to improve the bond behavior between FRP composites and concrete. Both the ultimate bond forces and the maximum displacements were enhanced when applying the vacuum which leads to reduction in the amount of FRP materials needed to achieve the required bond strength compared with the un-vacuumed specimens. The efficiency of the enhancement in bond behavior due to vacuum highly depends on the fiber type; using carbon fiber showed higher enhancement in the bond strength compared to the glass fiber when vacuum was applied. On the contrary, specimens with glass fiber showed higher enhancement in the maximum slippage compared to specimens with carbon fibers. Utilizing vacuum does not affect the debonding failure modes but lead to increase in the amount of attached concrete on the surface of the debonded FRP sheet.

• Advances in pediatric surgery
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• 제14권1호
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• pp.88-93
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• 2008

Esophageal atresia with double tracheoesophageal fistula is a very rare anomaly and is difficulty to diagnose preoperatively. We treated a full term baby with esophageal atresia with double tracheoesophageal fistula. At the first operation, only the distal tracheoesophageal fistula was identified and ligated. When the upper esophageal pouch was opened, intermittent air leakages in sequence with positive bagging were noticed. However, intraoperative bronchoscopy did not identify a fistula in the proximal pouch, and the operation was completed with end to end anastomosis of the esophagus. On the $7^{th}$ postoperative day, esophagography showed another tracheoesophageal fistula proximal to the esophageal anastomosis. A wire was placed in the fistula preoperatively under bronchoscopy. At the 2nd operation through the same thoracotomy incision the proximal fistula was identified and ligated. On the $12^{th}$ postoperative day, esophagography showed neither stricture nor leakage.

• Composites Research
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• 제31권6호
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• pp.304-310
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• 2018

오토클레이브 (Autoclave) 성형 공정은 항공산업분야의 복합재 부품 제작에 있어서 매우 안정적이고 중요한 제조방법으로서 자리매김 해왔었지만 오토클레이브가 가진 많은 장점과 함께 단점 또는 제약 사항들을 보여주고 있다. 최근에는 이러한 한계를 극복하기 위하여 다양한 탈 오토클레이브 (OoA, Out-of-Autoclave) 공정들이 연구 개발되고 있는데, 본 연구에서는 탈 오토클레이브 공정 중 하나로서 많은 관심을 받고 있는 액상성형공정 (Liquid Composite Molding)을 사용하여 시편들을 제작하고 이를 오토클레이브 공정으로 제작된 시편과 실험적으로 비교평가하였다. 액상성형공정 중 DB (Double Bagging), CAPRI (Controlled Atmospheric Pressure Resin Infusion) 및 VAP (Vacuum Assisted Process) 공정을 사용하여 시편 제작을 수행하고 내부 기공 함유량, 두께, 유리전이온도, 층간전단강도 및 굽힘강도 시험 평가를 통하여 각 제작 공정에 따른 차이를 확인할 수 있었다. 전체적으로 오토클레이브 성형 시편이 우수한 두께 균일도, 낮은 기공 함유량 및 양호한 기계적 강도 특성을 보였으며, 액상성형공정 중에서는 CAPRI 성형 시편이 DB 및 VAP 성형 시편에 비하여 상대적으로 우수한 특성을 가짐을 확인하였다.