• The Journal of Advanced Prosthodontics
• /
• 제13권1호
• /
• pp.12-23
• /
• 2021

Purpose. The aim of the study was to compare the lingualized implant placement creating a buccal cantilever with prosthetic-driven implant placement exhibiting excessive crown-to-implant ratio. Materials and Methods. Based on patient's CT scan data, two finite element models were created. Both models were composed of the severely resorbed posterior mandible with first premolar and second molar and missing second premolar and first molar, a two-unit prosthesis supported by two implants. The differences were in implants position and crown-to-implant ratio; lingualized implants creating lingually overcontoured prosthesis (Model CP2) and prosthetic-driven implants creating an excessive crown-to-implant ratio (Model PD2). A screw preload of 466.4 N and a buccal occlusal load of 262 N were applied. The contacts between the implant components were set to a frictional contact with a friction coefficient of 0.3. The maximum von Mises stress and strain and maximum equivalent plastic strain were analyzed and compared, as well as volumes of the materials under specified stress and strain ranges. Results. The results revealed that the highest maximum von Mises stress in each model was 1091 MPa for CP2 and 1085 MPa for PD2. In the cortical bone, CP2 showed a lower peak stress and a similar peak strain. Besides, volume calculation confirmed that CP2 presented lower volumes undergoing stress and strain. The stresses in implant components were slightly lower in value in PD2. However, CP2 exhibited a noticeably higher plastic strain. CONCLUSION. Prosthetic-driven implant placement might biomechanically be more advantageous than bone quantity-based implant placement that creates a buccal cantilever.

• 핵의학기술
• /
• 제20권1호
• /
• pp.52-58
• /
• 2016

최근 다양한 학회에서 PET 정보로부터 기인하는 SUVmax, MTV, TLG 등으로 환자의 생존율을 분석하는 후향적 연구가 활발히 진행 중이다. 그러나 종양의 체적을 정확하게 측정하기 어렵고 명확한 방법이 없으며 술자 간 차이가 발생 할 수 있다. 따라서 본 연구에서는 종양의 특성에 따른 체적 측정 방법을 비교 평가하였다. NEMA IEC Body Phantom에 18F-saline을 채우고 구형($0.5cm^3$ 에서 $26.5cm^3$)과 불균형($20cm^3$ 에서 $200cm^3$)의 체적을 phantom 안에 삽입하여 Biograph truepoint 40 (Siemens medical system, Germany)로 촬영하였다. 체적과 배후방사능과의 ratio를 3.0, 5.0, 8.0, 18, 40으로 나누어 촬영하였다. 임상환자는 소화기계 암의 병기 설정 환자로 2010년도부터 2014년도 까지 무작위로 120명을 선택하였고 측정방법은 40% threshold, 50% threshold 그리고 MIMsoftware의 gradient segmentation기법인 PET EDGE를 사용하였으며 5년 이상 2명의 방사선사와 1명의 전공의가 3번 반복 측정 하였다. 관찰자간일치도를 분석하였고 조영증강 CT 체적과 측정 체적과의 일치 상관관계 계수를 분석하였다. Phantom test의 결과는 40% threshold 방법이 가장 우수하였다(r = 0.992, 0.997). 임상 환자 결과에서는 관찰자간일치도는 PET EDGE가 0.999 (CI: 0.998-0.999)로 높았고 측정 방법간의 통계적인 유의한 차이는 보이지 않았다(P = 0.620). CT체적과 PET 체적 간의 상관관계에선 40% 방법이 가장 우수하였다(r = 0.953). 그리고 종양과 배후방사능의 비가 증가할수록 측정 방법 간의 영향이 감소하였다. 임상 환자에서의 종양의 체적 측정 방법은 50% threshold방법이 가장 유용하고 종양의 특성에 대한 영향이 가장 적었다. 종양과 배후방사능의 비가 높을수록 측정 방법 간의 영향이 감소하기 때문에 PET/CT 검사에서 환자의 배후방사능을 줄이는 연구와 노력이 필요하다고 생각된다.

• 한국세라믹학회지
• /
• 제42권1호
• /
• pp.37-42
• /
• 2005

유리연마슬러지와 graphite를 발포제로 사용하여 경량골재를 제조하였으며, 경량골재 내부기공과 물성과의 상관성을 도출하였다. 이때 graphite 함량을 각각 달리하여 성구를 제조하였으며, $700^{circ}C$ 및 $800^{circ}C$에서 20분 동안 소성하였다. 소성 전후 골제의 부피 변화를 검토한 결과, 발포제의 첨가량보다는 소성 온도가 즘 더 큰 영향을 미침을 확인하였다 기공의 크기 및 면적은 발포제 첨가량과 소성 온도 상승에 따라 증가하는 특징을 나타내었으나, 발포제 첨가량 $1\%$ 이상에서는 큰 폭의 증가를 동반하지 않았다. 흡수율/열전도율과 기공과의 상관성은 매우 높아, 각각의 상관관계계수는 $0.8\pm$ 이상을 나타내었다.

• 한국건설순환자원학회논문집
• /
• 제5권1호
• /
• pp.45-52
• /
• 2017

이 연구에서는 고로슬래그 다량 치환 콘크리트의 원전 콘크리트 적용을 위하여 기존 원전 콘크리트와의 내구성능 비교 및 분석을 수행하였다. 연구결과에 따르면 고로슬래그를 50% 치환한 콘크리트의 압축강도는 초기강도는 기존 원전 콘크리트보다 낮지만, 우수한 장기강도를 나타내었다. 반면, 기존 원전 콘크리트의 초기강도는 높았지만, 장기강도 발현율이 낮게 나타났다. 내구성능의 평가결과, 고로슬래그를 50% 치환한 콘크리트의 내구성능은 모든 평가항목에서 플라이애시 20% 치환 콘크리트와 비교하여 동등이상의 성능을 나타내었다. 특히. 저강도에서의 고로슬래그 50% 치환한 콘크리트는 염해 저항성과 탄산화 저항성, 동결융해 저항성의 향상효과가 뚜렷하게 나타났다. 반면, 감마선 조사에 따른 콘크리트 압축강도와 화학성분의 변화는 미미하게 나타났다.

• 한국방재학회 논문집
• /
• 제10권4호
• /
• pp.89-93
• /
• 2010

유역의 급격한 도시화는 지체시간, 첨두유량 및 총 유출량 등 홍수 유출특성 뿐만 아니라 개발행위에 따른 토사유출특성 변화를 초래하여 배수관로내의 토사퇴적을 유발하여 도시홍수 발생 가능성 등 다양한 문제를 유발하고 있다. 본 연구에서는 도시화가 진행 중인 시험유역을 선정하여 지난 3년 동안 토지이용분포의 변화양상은 물론 강우 및 수위 자동계측기를 이용하여 연속적으로 유출수문 특성을 계측하였으며 유량-유사량 관계곡선을 유도하였다. 실측결과로부터 호우사상별 토지이용분포 변화에 따른 유출률과 첨두유출량의 변화를 정량적으로 분석하였으며 유역개발 건설과정에 따른 토사유출량의 변화특성을 정성적으로 분석하였다. 도시화가 진행될수록 합리식의 유출계수는 증가하였다. 토사의 경우 공사기간 중 유출량의 변화가 심하다는 사실과 특히, 공사기간 중 1 cms 미만의 유출을 유발하는 소규모 강우에 의한 부유사 유출은 약 10배 이상 증가한다는 사실을 확인하였다. 그러나 소류사의 경우 강우의 크기에 민감하지 않음을 확인할 수 있었다.

• 한국환경보건학회지
• /
• 제38권4호
• /
• pp.360-368
• /
• 2012

Objective: This study was carried out to use pine needles as a passive air sampler (PAS) of atmospheric Polychlorinated Biphenyls (PCBs). Methods: PCB concentrations in ambient air ($C_a$, ng/$m^3$) and deposited on pine needles ($C_p$, ng/g dry) were analyzed simultaneously from June 1 to December 31. Air samples were taken using a low volume PUF active air sampler and the overall average air volume was about 900-1,000 $m^3$. Pine needles were collected at the end of August and December near the air sampler. Results: $C_a$ were higher at higher air temperature and lower chlorinated PCB congeners, but $C_p$ showed irregular distribution. The average PCB sampling rates from air to pine needles were 0.116 (0.002-0.389) $m^3$/day - g dry. Conclusions: A poor correlation was shown between $C_a$ and $C_p$. However, a good correlation was shown between the logarithm of octanol-air partitioning coefficient ($logK_{oa}$) and log ($C_p/C_a$), and the interrelation was better with longer sampling time (June to December) than shorter sampling time (June to August). The average PCB sampling rates from air to pine needles were the lowest with respect to PUF disk, XAD-2 resin and semipermeable membrane devices (SPMDs) PAS. The average ratio ($C_{a-calc}/C_{a-meas}$) of calculated ($C_{a-calc}$) and measured ($C_{a-meas}$) PCB concentration was 0.69 with a shorter sampling time and 1.24 with a longer, so $C_{a-calc}$ was close to $C_{a-meas}$. It was found that pine needles can be used as PAS of atmospheric PCBs, and are especially suitable for long-time PAS.

• Advances in nano research
• /
• 제8권1호
• /
• pp.59-68
• /
• 2020

In the present study, buckling analysis of sandwich composite (carbon nanotube reinforced composite and fiber reinforced composite) Euler-Bernoulli beam in two configurations (core and layers material), three laminates (combination of different angles) and two models (relative thickness of core according to peripheral layers) using differential quadrature method (DQM) is studied. Also, the effects of porosity coefficient and different types of porosity distribution on critical buckling load are discussed. Using sandwich beam, it shows a considerable enhancement in the critical buckling load when compared to ordinary composite. Actually, resistance against buckling in sandwich beam is between two to four times more. It is also showed the critical buckling loads of laminate 1 and 3 are significantly larger than the results of laminate 2. When Configuration 2 is used, the critical buckling load rises about 3 percent in laminate 1 and 3 compared to the results of configuration 1. The amount of enhancement for laminate 3 is about 17 percent. It is also demonstrated that the influence of the core height (thickness) in the case of lower carbon volume fractions is ignorable. Even though, when volume fraction of fiber increases, differences grow smoothly. It should be noticed the amount of decline has inverse relationship with the beam aspect ratio. Among three porosity patterns investigated, beam with the distribution of porosity Type 2 (downward parabolic) has the maximum critical buckling load. At the end, the first three modes of buckling will be demonstrated to investigate the effect of spring constants.

• Korean Circulation Journal
• /
• 제54권1호
• /
• pp.30-39
• /
• 2024

Background and Objectives: Intravascular ultrasound (IVUS) evaluation of coronary artery morphology is based on the lumen and vessel segmentation. This study aimed to develop an automatic segmentation algorithm and validate the performances for measuring quantitative IVUS parameters. Methods: A total of 1,063 patients were randomly assigned, with a ratio of 4:1 to the training and test sets. The independent data set of 111 IVUS pullbacks was obtained to assess the vessel-level performance. The lumen and external elastic membrane (EEM) boundaries were labeled manually in every IVUS frame with a 0.2-mm interval. The Efficient-UNet was utilized for the automatic segmentation of IVUS images. Results: At the frame-level, Efficient-UNet showed a high dice similarity coefficient (DSC, 0.93±0.05) and Jaccard index (JI, 0.87±0.08) for lumen segmentation, and demonstrated a high DSC (0.97±0.03) and JI (0.94±0.04) for EEM segmentation. At the vessel-level, there were close correlations between model-derived vs. experts-measured IVUS parameters; minimal lumen image area (r=0.92), EEM area (r=0.88), lumen volume (r=0.99) and plaque volume (r=0.95). The agreement between model-derived vs. expert-measured minimal lumen area was similarly excellent compared to the experts' agreement. The model-based lumen and EEM segmentation for a 20-mm lesion segment required 13.2 seconds, whereas manual segmentation with a 0.2-mm interval by an expert took 187.5 minutes on average. Conclusions: The deep learning models can accurately and quickly delineate vascular geometry. The artificial intelligence-based methodology may support clinicians' decision-making by real-time application in the catheterization laboratory.

• Wind and Structures
• /
• 제26권5호
• /
• pp.331-341
• /
• 2018

A numerical study on the flow over a square cylinder in the vicinity of a wall is conducted for different Couette-Poiseuille-based non-uniform flow with the non-dimensional pressure gradient P varying from 0 to 5. The non-dimensional gap ratio L (=$H^{\ast}/a^{\ast}$) is changed from 0.1 to 2, where $H^{\ast}$ is gap height between the cylinder and wall, and $a^{\ast}$ is the cylinder width. The governing equations are solved numerically through finite volume method based on SIMPLE algorithm on a staggered grid system. Both P and L have a substantial influence on the flow structure, time-mean drag coefficient ${\bar{C}}_D$, fluctuating (rms) lift coefficient ($C_L{^{\prime}}$), and Strouhal number St. The changes in P and L leads to four distinct flow regimes (I, II, III and IV). Following the flow structure change, the ${\bar{C}}_D$, $C_L{^{\prime}}$, and St all vary greatly with the change in L and/or P. The ${\bar{C}}_D$ and $C_L{^{\prime}}$ both grow with increasing P and/or L. The St increases with P for a given L, being less sensitive to L for a smaller P (< 2) and more sensitive to L for a larger P (> 2). A strong relationship is observed between the flow regimes and the values of ${\bar{C}}_D$, $C_L{^{\prime}}$ and St. An increase in P affects the pressure distribution more on the top surface than on bottom surface while an increase in L does the opposite.

• 한국농공학회지
• /
• 제28권3호
• /
• pp.89-98
• /
• 1986

This study was carried out for the settlement and camber of earth dam by the changes of the density. The testing material was taken five kinds of Soil used as banking material and it was compacted by 100, 95, 90, 85 and 80% compaction degree. The results of the settlement of earth dam whose height ranges from 10m to 50m are as follows. 1.The more the fine particle (n) increases, the higher the liquid limit (WL) and the lower the dry density (rd) becomes as follows; rd=2. 22-0. 0052n (gr/cm$_3$) rd=2. 394-0. 0164WL rd=2. 185-(5. 8n-2. 5WL)X10-$_3$ 2. The higher the optimum moisture content (Wo) becomes, the lower the density becomes as follows; rt,=2. 68-0. 028Wo rd=2. 578-0. 04Wo 3. 3.Most of the consolidation occurs immediately by loading and the more the fine particle increases, the lower the coefficient of consolidation becomes. 4.The more the fine particle increases and lower the compaction degree (D) becomes,the lower the pre-consolidation load (Pc) becomes but on the contrary the compression index (Cc) becomes higher. Those equation is as follows. Pc=3. 32-(4. 3n-3. 0D) X10-2 (kg/cm$^2$) Cc=0. 41+(1. 33n-4. 44D) X10-$^3$ 5.The more the consolidation load (P) increases, the lower the coefficient of volume change (mv) becomes with mv=ap-b, the higher the consolidation ratio (u) becomes with U= (0. 6~1. 35)PO.4 6.The more the fine particle (n) increases, the more the settlement of dam occurs with U=anb and 60-80% of the settlement occurs under construction. 7.The camber of dam has higher value in condition that has more fine particle, poorer compaction and higher height of dam. In the dam construction about twice value of table 7 is required for dam safety.