• Maxillofacial Plastic and Reconstructive Surgery
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• v.18 no.4
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• pp.570-593
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• 1996

This study was intended to perform the influence of condyle positional change after surgical correction of skeletal Class III malocclusion after BSSRO in 20 patients(males 9, females 11) using computed tomogram that were taken in centric occlusion before, immediate, and long term after surgery and lateral cephalogram that were taken in centric occlusion before, 7 days within the period intermaxillary fixation, 24hour after removing intermaxillary fixation and long term after surgery. 1. Mean intercondylar distance was $84.45{\pm}4.01mm$ and horizontal long axis of condylar angle was $11.89{\pm}5.19^{\circ}$on right, $11.65{\pm}2.09^{\circ}$on left side and condylar lateral poles were located about 12mm and medial poles about 7mm from reference line(AA') on the axial tomograph. Mean intercondylar distance was $84.43{\pm}3.96mm$ and vertical axis angle of condylar angle was $78.72{\pm}3.43^{\circ}$on right, $78.09{\pm}6.12^{\circ}$on left. 2. No statistical significance was found on the condylar change(T2C-T1C) but it had definitive increasing tendency. There was significant decreasing of the distance between both condylar pole and the AA'(p<0.05) during the long term(TLC-T2C). 3. On the lateral cephalogram, no statistical significance was found between immediate after surgery and 24 hours after the removing of intermaxillary fixation but only the lower incisor tip moved forward about 0.33mm(p<0.05). Considering individual relapse rate, mean relapse rate was 1.2% on L1, 5.0% on B, 2.0% on Pog, 9.1% on Gn, 10.3% on Me(p<0.05). 4. There was statistical significance on the influence of the mandibular set-back to the total mandibular relapse(p<0.05). 5. There was no statistical significance on the influence of the mandibular set-back(T2-T1) to the condylar change(T2C-T1C), the condylar change(T2C-T1C, TLC-T2C) to the mandibular total relapse, the pre-operative condylar position to the condylar change(T2C-T1C, TLC-T2C), the pre-operative mandibular posture to the condylar change(T2C-T1C, TLC-T2C)(p>0.05). 6. The result of multiple regression analysis on the influence of the pre-operative condylar position to the total mandibular relapse revealed that the more increasing of intercondylar distance and condylar vertical axis angle and decreasing of condyalr head long axis angle, the more increasing of mandibular horizontal relapse(L1,B,Pog,Gn,Me) on the right side condyle. The same result was founded in the case of horizontal relapse(L1,Me) on the left side condyle.(p<0.05). 7. The result of multiple regression analysis on the influence of the pre-operative condylar position to the pre-operative mandibular posture revealed that the more increasing of intercondylar distance and condylar vertical axis angle and decreasing of condylar head long axis angle, the more increasing of mandibular vertical length on the right side condyle. and increasing of vertical lengh & prognathism on the left side condyle(p<0.05). 8. The result of simple regression analysis on the influence of the pre-operative mandibular posture to the mandibular total relapse revealed that the more increasing of prognathism, the more increasing of mandibular total relapse in B and the more increasing of over-jet the more increasing of mandibular total relapse(p<0.05). Consequently, surgical mandibular repositioning was not significantly influenced to the change of condylar position with condylar reposition method.

• Korean Journal of Crystallography
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• v.11 no.1
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• pp.46-51
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• 2000

The molecular structures of 2-SC₄H₃CH=NN(H)C/sub 6/H/sub 5/(C/sub 11/H/sub 10/N₂S) and (GaMe₂)₂(2-SC₄H₃CH=NNC/sub 6/H/sub 5/)₂(C/sub 26/H/sub 30/Ga₂N₄S₂) have been determined by X-ray diffraction. Crystallographic data for 2-SC₄H₃CH=NN(H)C/sub 6/H/sub 5/:orthorhombic space group P2₁2₁2₁, a=6.108(1)Å, b=7.593(1)Å, c=22.356(2)Å, V=1037.1(3)ų, Z=4, R=0.0613. Crystallographic data for (GaMe₂)₂(2-SC₄H₃CH=NNC/sub 6/H/sub 5/)₂:monoclinic space group P2₁/n, a=15.996(2) Å, c=9.879(3)Å, β=100.07.(2)°, V=2764.599)ų, Z=4, R=0.0503.

• Journal of the Korean Institute of Telematics and Electronics
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• v.20 no.1
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• pp.22-26
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• 1983

P+N and P+NN+ solar cells with the area of 3.36 $\textrm{cm}^2$ were fabricated by thermal diffusion. Under the light intensity of 100 mW/$\textrm{cm}^2$, total area(active area) conversion efficiency was 13.4%(14.7%) for P+N cell fabricated by 15 min boron predeposition at 94$0^{\circ}C$ and 20 min annealing at 80$0^{\circ}C$, and 14.3%(15.6%) for P+NN+ cell processed by 15 min boron predeposition at 94$0^{\circ}C$ and 50 min annealing at 80$0^{\circ}C$ after 20 min back phosphorus diffusion at 1,05$0^{\circ}C$. The minority carrier lifetime in bulk of P+NN+ cells was increased about 2~3 times comparing with P+N cells because of guttering and BSF effect due to back phosphorus doping. The methods used for efficiency improvement were AR coating, Ag electroplating, back doping and fine grid pattern as well as the control of front doping profile.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.469-470
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• 2015

우리는 그룹핑 k-최근접 (Grouping k Nearest Neighbor; GkNN)질의를 지원하기 위하여 유연한 최근접객체(Flexible Nearest Neighbor; FNN)검색 방법을 제안한다. GkNN이란 기존에 제안된 kNN과 다르게 질의자가 요청한 k개의 객체를 모두 확인한 후에 이동 경로의 총합이 가장 작은 k개의 객체를 검색하는 방법이다. 기존 연구에서 제안된 최근접 객체들 (Nearest Neighborhood; NNH) 또한 이 문제를 해결하기 위하여 제안되었다. 그러나 NNH의 문제점은 객체 k와 p가 고정되어 있기 때문에 이동 환경에서 q에서 C까지의 거리가 증가하는 것이다. FNN의 환경은 NNH의 환경과 유사하다. 우리는 NNH의 q에서 집합 C 중 거리 중 가장 짧은 $c_i$ 선택한 후 q에서 $c_i$에 포함된 객체들 모두 검색하는 이동 경로의 총합과 FNN의 이동경로의 총 합을 비교하여 NNH의 문제점을 해결하였다.

• Proceedings of the Korean Information Science Society Conference
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• 2005.11b
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• pp.70-72
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• 2005

데이터베이스 관리자는 효과적인 데이터베이스 관리를 위해 워크로드 특성을 잘 알아야 한다. 워크로드 특성은 데이터베이스 응용분야에 따라 다르며, 데이터베이스 환경에서 하나 이상의 응용 분야가 수행될 수 있다. 복합적인 데이터베이스 응용 분야 때문에, 관리자가 데이터베이스 시스템에서 발생하는 워크로드를 식별하기가 더욱 어려워졌다. 복합적인 데이터베이스 응용 분야의 효과적인 데이터베이스 관리를 수행하기 위해 워크로드를 식별할 수 있는 방법이 요구된다. 이를 위해, 본 연구는 TPC-C와 TPC-W 성능평가의 워크로드와 두 성능평가의 혼합된 워크로드들을 생성하여 워크로드 식별을 수행하였다. 워크로드 식별은 퍼지 k-NN 알고리즘을 수정하여 진행하였다. 수정된 k-NN 알고리즘은 혼합 비율에 따라 시험 워크로드 데이터와 훈련 워크로드 데이터간의 워크로드 식별 실험에 사용되었고, 분류를 위한 k-NN, 퍼지 k-NN, 분산 가중치 퍼지 k-NN 알고리즘의 결과와 비교되었다. 수정된 k-NN 알고리즘은 다른 알고리즘보다 k 인자에 따른 변동과 오차율이 감소하여 워크로드 식별에 더 적합함을 보였다. 본 논문의 결과는 복합된 데이터베이스 응용 분야의 특성을 보이는 데이터베이스 환경에서 워크로드 식별 정보를 창조하여 융통성 있는 튜닝 기법을 고려하는데 기여한다.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 1996.11a
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• pp.361-364
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• 1996

Aging diagnosis system using partial discharge(PD) is being highlighted as a research area. But the application of PD requires complicated analysis method because the PD has complex progressing forms. In this paper, It has been developed to the PD diagnosis system using neural network(NN). As a result after NN learning, the recognized rate was represented about 85%. The safety area is possible to express the second output of NN in this experiments.

• Journal of KIISE
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• v.42 no.2
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• pp.242-254
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• 2015

In this paper, we address the problem of improving the performance of multi-step k-NN search using multi-dimensional indexes. Due to information loss by lower-dimensional transformations, existing multi-step k-NN search solutions produce a large tolerance (i.e., a large search range), and thus, incur a large number of candidates, which are retrieved by a range query. Those many candidates lead to overwhelming I/O and CPU overheads in the postprocessing step. To overcome this problem, we propose two efficient solutions that improve the search performance by reducing the tolerance of a range query, and accordingly, reducing the number of candidates. First, we propose a tolerance reduction-based (approximate) solution that forcibly decreases the tolerance, which is determined by a k-NN query on the index, by the average ratio of high- and low-dimensional distances. Second, we propose a coefficient control-based (exact) solution that uses c k instead of k in a k-NN query to obtain a tigher tolerance and performs a range query using this tigher tolerance. Experimental results show that the proposed solutions significantly reduce the number of candidates, and accordingly, improve the search performance in comparison with the existing multi-step k-NN solution.

• Wind and Structures
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• v.9 no.1
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• pp.37-58
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• 2006

The paper describes a study about effects of upstream hills on design wind loads using two mathematical approaches: Computational Fluid Dynamics (CFD) and Artificial Neural Network (NN for short). For this purpose CFD and NN tools have been developed using an object-oriented approach and C++ programming language. The CFD tool consists of solving the Reynolds time-averaged Navier-Stokes equations and $k-{\varepsilon}$ turbulence model using body-fitted nearly-orthogonal coordinate system. Subsequently, design wind load parameters such as speed-up ratio values have been generated for a wide spectrum of two-dimensional hill geometries that includes isolated and multiple steep and shallow hills. Ground roughness effect has also been considered. Such CFD solutions, however, normally require among other things ample computational time, background knowledge and high-capacity hardware. To assist the enduser, an easier, faster and more inexpensive NN model trained with the CFD-generated data is proposed in this paper. Prior to using the CFD data for training purposes, extensive validation work has been carried out by comparing with boundary layer wind tunnel (BLWT) data. The CFD trained NN (CFD-NN) has produced speed-up ratio values for cases such as multiple hills that are not covered by wind design standards such as the Commentaries of the National Building Code of Canada (1995). The CFD-NN results compare well with BLWT data available in literature and the proposed approach requires fewer resources compared to running BLWT experiments.

• Asian-Australasian Journal of Animal Sciences
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• v.5 no.1
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• pp.25-27
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• 1992

160 day-old chicks of Rhode Island Red, White Leghorn and their crossbred with Naked neck chicken were reared upto 23 weeks of age at Bangladesh Agricultural University Poultry Farm in order to study the economic traits of birds. RIR had highest body weight gain (1494.39 g), followed by White Leghorn (1392.57 g), $RIR{\times}NN$ (1268.9 g) and White Leghorn ${\times}$ NN (1266.73 g). RIR showed significant difference (p < 0.05) to other groups of birds in body weight gain but difference were insignificant in between other birds. RIR showed better feed conversion ratio (4.72:1) but difference were insignificant (p > 0.05), however, $RIR{\times}NN$ exceled White Leghorn ${\times}$ NN in feed efficiency. $RIR{\times}NN$ had highest livability (90%) while White Leghorn had lowest (85%). Earlier sexual maturity was observed in White Leghorn (163 days) than RIR (168 days) but cross breds were similar in age at sexual maturity RIR were heaviest (1538.89 g) at age at sexual maturity, on the other hand $RIR{\times}NN$ were heavier (1315.39 g) than $WL{\times}NN$ (1306.77 g) at sexual maturity.

• Korean Journal of Plant Resources
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• v.35 no.4
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• pp.445-454
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• 2022

The aim of this study was to provide basic data for breeding new varieties of Angelica gigas Nakai by identifying the growth characteristics and useful components of its below- and above-ground parts. The basic varieties expressing dark purple (N79-A), light blue-pink (62-C), and white (NN115-C) flowers were identified and collected in the cultivation area, and their seeds were cultured for use as experimental materials. Qualitative growth characteristics of the above-ground parts were then examined. Purple coloration was evident throughout the entire plant body in the N79-A group, whereas the 62-C and NN115-C groups displayed yellow-green coloration. In terms of quantitative growth characteristics, the 62-C group displayed significantly lower above- and below-ground growth than the other two groups. Levels of nodakenin and decursinol-angelate were high in the NN115-C group (0.88 ± 0.13%) and N79-A group (2.56 ± 0.12%). However, the overall results were not statistically significant. The results could provide a foundation for breeding new varieties of Angelica gigas Nakai, which are used predominantly for medicinal purposes and have low bolting and high yield potential.