63 research outputs found
μ΄μ€μλμ§ μ μ°νλ¨μΈ΅μ΄¬μμ μ μ΄μ©ν μμ€λ μ λν: μΈ‘μ λ³μ΄μ κ΄ν μΈμ νμ, μΈ‘μ λ³μ΄μ λ²μ κ³μ° λ° μμμ κ²μ¦
νμλ
Όλ¬Έ (λ°μ¬)-- μμΈλνκ΅ λνμ : μκ³Όλν μνκ³Ό, 2019. 2. ꡬμ§λͺ¨.μλ‘ : μ΄ μ°κ΅¬λ μ΄μ€μλμ§ μ μ°νλ¨μΈ΅μ΄¬μμ μ(CT) ν΅ν μμ€λ μ λνμ μ΄μ€μλμ§ CT μ€μΊλ, μμ νλ νλΌλ―Έν°, κ·Έλ¦¬κ³ μ‘체 μ±μμ΄ λ―ΈμΉλ μν₯μ λΆμνκ³ , μΈ‘μ λ³μ΄μ λ²μ(measurement variability)λ₯Ό κ³μ° λ° μμμ μΌλ‘ κ²μ¦νκ³ μ νμλ€.
λ°©λ²: Part Iκ³Ό IIμμλ μ’
격λ ν¬ν
μ μ€μΊνκ³ , μμ€λ λ°λλ₯Ό(iodine density) μΈ‘μ νμ¬, μ΄μ€μλμ§ CT μ€μΊλμ μμ νλ νλΌλ―Έν°, μ‘체 μ±μμ μν₯μ linear-mixed effect modelλ‘ λΆμνμλ€. μμ€λ λ°λμ μΈ‘μ λ³μ΄ λ²μ λν κ³μ°νμλ€. Part IIIμμλ μμ€λ μ λνμ λ³μ΄ λ²μλ₯Ό ν΅ν΄ μ»μ μ°Έμ‘°μμ¦κ° κΈ°μ€κ°μ(cutoff) μμμ μ μ©μ±μ κ°μ΄μμ’
κ³Ό κ°μ΄μ λμ’
μΌλ‘ μμ μ μΉλ£λ₯Ό λ°μ νμ-λμ‘°κ΅° μ°κ΅¬λ₯Ό ν΅ν΄ νν₯μ μΌλ‘ κ²μ¦νμλ€.
κ²°κ³Ό: Part Iμμ μμ€λ λ°λμ μ λμ€μ°¨λ μ΄μ€μλμ§ CT μ€μΊλ λλ μ‘체 μ±μμ μν₯μ λ°μ§ μμλ€(P>0.05). μμ€λ μ°Έκ°μ΄ 0 mg/mlμΈ κ²½μ°, λ³μ΄ λ²μλ -0.6 mg/mlμμ 0.4 mg/mlμμΌλ©°, λ°λΌμ μ°Έμ‘°μμ¦κ°μ κΈ°μ€κ°μ 0.4 mg/mlλ‘ μ μνμλ€. Part IIμμ κ΄μ μκ³Ό(P<0.001) κ΄μ λ₯(P<0.05κ΅νΈμμ© λ³μμ λ°λΌ P κ°μ μ°¨μ΄κ° μμ)λ μμ€λ μ λκ°μ μ μν μν₯μ΄ μμμΌλ, κ·Έ μν₯μ ν¬κΈ°, μ¦, νκ·κ³μμ μ λκ°μ λ§€μ° μμλ€. μμ€λλ₯Ό ν¬μν μ©λ§€μ μ±μ μμ μ μν μν₯μ΄ μμμΌλ©°(P=0.007), λ¬Όκ³Ό μλ―Έλ
Έμ° μ©μ‘ κ°μ μ΅μμ κ³±νκ· μ μ°¨λ β₯5 mg/mlμ λλλ₯Ό κ°λ νλΈμ λν΄μλ 0.1μμ 0.3 mg/mlμμΌλ©°, β€1 mg/mlμ λλλ₯Ό κ°λ νλΈμμλ -0.4μμ -0.1 mg/mlμλ€. λ³μ μ€ μ€ννΈλ΄ λ 벨μ μΈ‘μ μ μν₯μ λ―ΈμΉμ§ μμλ€ (P=0.647). Part IIIμμ μ°Έμ‘°μμ¦κ° κΈ°μ€κ°μ(0.4 mg/ml) νμ-λμ‘°κ΅° μ°κ΅¬μμ κ°μ΄μμ’
κ³Ό κ°μ΄μ λμ’
μ ꡬλΆνλλ° μμ΄ λ―Όκ°λ 100%, νΉμ΄λ 85.7%, μ νλ 90.9%, μμ± μμΈ‘λ₯ 80.0%, μμ± μμΈ‘λ₯ 100%λ₯Ό 보μλ€.
κ²°λ‘ : μμ€λ λ°λλ μ΄μ’
μλμ§ CT 촬μκΈ°κ³μ μν₯μ λ°μ§ μλ μΈ‘μ κ°μ΄λ€. μμ€λ λ°λλ CT νλ λ³μμ μ μν μν₯μ λ°μΌλ, μ§λ¨μ CTμ λ²μ λ΄μμ κ·Έ μν₯μ μ λλ λ―Έλ―Ένλ€. μ°Έμ‘°μμ¦κ° μμ€λ λ°λ κΈ°μ€κ°μ(0.4 mg/ml) κ°μ΄μμ’
κ³Ό κ°μ΄μ λμ’
μ μ ννκ² κ΅¬λΆν μ μλ μ μ©ν νλΌλ―Έν°μ΄λ€.Purpose: To analyze the effect of dual-energy computed tomography (DECT) scanners, acquisition parameters, and fluid characteristics on iodine quantification and to calculate and validate the measurement variability range induced by those variables.
Methods: In Part I and II, experimental studies were performed using four mediastinal iodine phantoms. Phantoms were scanned with three different DECT scanners from major vendors using various acquisition parameters and their effects on the measurement of iodine density (IoD) were investigated using linear mixed-effect models. Measurement variability range of IoD was also calculated. In Part III, diagnostic usefulness of the true enhancement cutoff was retrospectively validated in patients who underwent surgical resections for thymic cysts and thymic epithelial tumors.
Results: In Part I, absolute error of IoD was not significantly affected by the DECT systems and kind of solvents (P>0.05). Measurement variability range was from -0.6 to 0.4 mg/ml for the true iodine concentration 0 mg/ml. In Part II, tube voltage (P<0.001) and tube current-time product (P<0.05, depending on the interaction terms) had statistically significant effects on IoD. However, the magnitude of their effects was minimal in the range of diagnostic CT scans. Solvents also had significant effects on IoD (P=0.007). Specifically, the difference of least squares means between water and amino acid solution ranged from 0.1 to 0.3 for tubes with iodine concentrations β₯5 mg/ml and from -0.4 to -0.1 mg/ml for tubes with iodine concentrations β€1 mg/ml. Spectral level was not an affecting factor (P=0.647). In Part III, the true enhancement cutoff for IoD, which was 0.4 mg/ml, exhibited diagnostic sensitivity, specificity, accuracy, positive predictive value, and negative predictive value of 100%, 85.7%, 90.9%, 80.0%, and 100%, respectively, for the differentiation of thymic epithelial tumors from thymic cysts.
Conclusions: IoD measurement is robust to the DECT scanners from different vendors. IoD is significantly affected by the acquisition parameters, but the magnitude of effects are minimal in the range of diagnostic CT scans. The true enhancement cutoff of 0.4 mg/ml is an accurate parameter for the differentiation of thymic epithelial tumors from thymic cysts.Abstract i
Contents iv
List of tables and figures v
List of Abbreviations vi
Introduction 1
Part I. Materials and Methods 4
Part I. Results 14
Part II. Materials and Methods 30
Part II. Results 36
Part III. Materials and Methods 45
Part III. Results 51
Discussion 54
References 65
Abstract in Korean 74Docto
μ§λ°©λλμ λμ¬μ κΈ°λ₯νμ±νμ μΎμ μ±μ κ³ λ°©μ(A study on the revitalization of activities and the amenities in urban center)
λ
ΈνΈ : μ΄ μ°κ΅¬λ³΄κ³ μμ λ΄μ©μ κ΅ν μ°κ΅¬μμ μ체 μ°κ΅¬λ¬Όλ‘μ μ λΆμ μ μ±
μ΄λ 견ν΄μλ μκ΄μμ΅λλ€
κ³΅κ³΅κΈ°κ΄ μ§λ°©μ΄μ μμ± μ μΆμ§κ³Όμ μ°κ΅¬(A study on the regional relocation policy of public agency in capital region)
λ
ΈνΈ : μ΄ μ°κ΅¬λ³΄κ³ μμ λ΄μ©μ κ΅ν μ°κ΅¬μμ μ체 μ°κ΅¬λ¬Όλ‘μ μ λΆμ μ μ±
μ΄λ 견ν΄μλ μκ΄μμ΅λλ€
μ§λ°©μ€μλμ νμ±ν λ°©μ μ°κ΅¬(A study on the revitalization strategy of local small-medium-sized cities)
λ
ΈνΈ : μ΄ μ°κ΅¬λ³΄κ³ μμ λ΄μ©μ κ΅ν μ°κ΅¬μμ μ체 μ°κ΅¬λ¬Όλ‘μ μ λΆμ μ μ±
μ΄λ 견ν΄μλ μκ΄μμ΅λλ€
μ λ μ μ΄λ₯Ό μν λλ ΈμΈμ»¨λ νμ€ DBD νλΌμ¦λ§ μ‘μΈμμ΄ν° λͺ¨λΈλ§
νμλ
Όλ¬Έ (μμ¬)-- μμΈλνκ΅ λνμ : κΈ°κ³ν곡곡νλΆ, 2016. 2. κΉκ·ν.In the present study, a model of dielectric barrier discharge (DBD) driven by nanosecond pulse was developed for flow control analysis. In general, computational analysis of DBD requires to solve Gausss law for electric field, chemical species continuity equation for plasma including electron, positive ions, negative ions, neutral particles and Navier-Stokes equation for fluid. Considering all these governing equations makes computational cost enormously expensive due to their time scale difference. By using quasi-1-dimensional self-similar equation of DBD plasma, the time cost for plasma analysis was reduced dramatically and plasma parameters such as plasma propagation distance, electric field, electron density and joule heating energy can be calculated. The obtained joule heating energy is then utilized to construct a model of dissipating unsteady energy source into fluid by plasma. The model reflected the increase/decrease of the joule heating energy arise from the physical phenomena of electrical current variations during a pulse period. The obtained unsteady energy source term was coupled with Navier-Stokes equation to analyze the flow disturbances made by DBD actuator which produces propagating micro compression wave. The time-varying position of compression wave generated by DBD plasma actuator predicted by developed model was in agreement with previously reported data from experimental and computational analysis. Also, the developed model was able to predict compression wave propagation due to DBD plasma more accurately compared to a model which used steady energy source term.Chapter 1. Introduction 1
1.1 Motivation 1
1.2 Dielectric Barrier Discharge (DBD) Plasma Actuator 3
Chapter 2. DBD Plasma Actuator Model 7
2.1 Plasma Governing Equation 7
2.2 Quasi 1 Dimensional Self Similar Equation 11
2.3 Unsteady Joule Heating Energy Modeling 13
Chapter 3. Numerical Method 17
3.1 Fluid Governing Equation 17
3.2 Spatial Discretization 19
3.3 Time Integration 22
Chapter 4. Numerical Analysis 27
4.1 Geometry and Grid System 27
4.2 Boundary and Initial Conditions 29
4.3 Results 32
Chapter 5. Conclusions 44
Chapter 6. References 45
κ΅λ¬Έ μ΄λ‘ 48Maste
μ£Όκ±°μ§μ κ°λ°λ°λ μ€μ λ°©μμ κ΄ν μ°κ΅¬(Planning guidance on residential density criteria)
λ
ΈνΈ : μ΄ μ°κ΅¬λ³΄κ³ μμ λ΄μ©μ κ΅ν μ°κ΅¬μμ μ체 μ°κ΅¬λ¬Όλ‘μ μ λΆμ μ μ±
μ΄λ 견ν΄μλ μκ΄μμ΅λλ€
μ€ν κ±°λ μΉ΄μ΄λ΄ 건λ€μ μ΄λ‘ μ μ΄μ©ν NLOμμμ νμ΄μ¨ μ§λ κ³μ°
In part I, we calculate the masses of taste non-Goldstone pions and kaons in staggered chiral perturbation theory through next-to-leading order in the standard power counting. The results can be used to quantitatively understand taste violations in existing lattice data generated with staggered fermions and to extract the u, d, and s quark masses and Gasser-Leutwyler parameters from the experimentally observed spectrum. The expressions for the non-Goldstone masses contain low-energy couplings unique to the non-Goldstone sector. With two exceptions these enter as coefficients of analytic terms; all the new couplings can be fixed by performing spectrum calculations. We report one-loop results for the quenched case and the fully dynamical and partially quenched 1+1+1 and 2+1 flavor cases in the chiral SU(3) and SU(2) theories.
In part II, We show the know-how of GPU based supercomputer from the beginning. and also illustrate our GPU version of conjugate gradient solver. To chieve the maximum performance in the program, we implement many different optimization method. The overall performance of our CUDA code for CG is 145 giga flops per GPU (GTX480), which does not include the infiniband network communication. If we include the infiniband communication, the overall performance is 36 giga flops per GPU (GTX480).첫λ²μ§Έ λ¨μμμλ λΉ-골λμ€ν€ νμ΄μ¨κ³Ό μΌμ΄μ¨μ μ§λμ μ€ν
κ±°λ μΉ΄μ΄λ 건λ€μ μ΄λ‘ μΌλ‘ NLOκΉμ§ κ³μ°μ μννμλ€. μ΄ κ²°κ³Όλ μ€ν
κ±°λ νλ₯΄λ―Έμ¨μ μ΄μ©ν 격μ κ²μ΄μ§ μ΄λ‘ μ°κ΅¬μμ λ°μνλ ν
μ΄μ€νΈ λμΉμ±μ μλ° μ λλ₯Ό μ΄ν΄νλλ° μ€μν μλ£λ‘μ μ¬μ©λλ€. λν μ
, λ€μ΄, μ€νΈλ μΈμ§ μΏΌν¬μ μ§λμ κ³μ°μ΄λ Gasser-Leutwyler κ³μλ₯Ό κ²°μ νλλ°μλ μ¬μ©λμ΄ μ§ μ μλ€. νλ μ΄λ² SU(3) μ SU(2) λμΉμ± νμμ μΈκ°μ§(quenched, fully dynamical, partially quenched)μ λ€λ₯Έ κ²½μ°μ λν μΌμ°¨ μμ κ³ λ¦¬ κ°μ κ³μ°νμ¬ λνλ΄μλ€.
λλ²μ§Έ λ¨μμμλ, GPU κΈ°λ°μ μνΌμ»΄ν¨ν° μ μκ³Όμ μ μκ°νμκ³ , μ΄ μμμ μλνκ²λ CG νλ‘κ·Έλ¨μ μ μ κ³Όμ μ λν΄ μκ°νμλ€. μ΅λνμ μ»΄ν¨ν° μ±λ₯μ μ»κΈ° μν΄ μ¬λ¬κ°μ§ λ€λ₯Έ μ΅μ ν λ°©λ²λ€μ΄ μ¬μ©λμμΌλ©° μ€λλμλ€. μ΄λ κ² μ μλ νλ‘κ·Έλ¨μ ꡬμΆλ GPU μνΌ μ»΄ν¨ν° μμμ μλνλ©°, λ€νΈμν¬ λ³λͺ©μ μ μΈν μμ κ³μ° μ±λ₯μ 145 GFLOPSλ₯Ό 보μΈλ€. λͺ¨λ λ€νΈμν¬ μ
μΆλ ₯μ ν¬ν¨ν κ²°κ³ΌμΉλ νλμ GTX 480 κ·Έλν½ μΉ΄λμμ 36FLOPSμ μ±λ₯μ 보μλ€.Docto
μ μ μμ‘΄μ± ν¬νμ μ±λ 4.1κ³Ό μ¬λ μμ μΈν¬μ μ¦μ
Thesis(masters) --μμΈλνκ΅ λνμ :μμνκ³Ό(μμλ³λ¦¬νμ 곡),2010.2.Maste
- β¦