45 research outputs found
์์ฑ ๋์คํฌ ๋ฐฐ์ด ๋ด ๊ฒฐํฉ๋ ์๊ธฐ ์์ฉ๋์ด์ ๋์ ๊ฑฐ๋ ์ฐ๊ตฌ
ํ์๋
ผ๋ฌธ(๋ฐ์ฌ)--์์ธ๋ํ๊ต ๋ํ์ :๊ณต๊ณผ๋ํ ์ฌ๋ฃ๊ณตํ๋ถ,2020. 2. ๊น์๊ตญ.์๊ธฐ ์์ฉ๋์ด๋ ์ ๋ง์ดํฌ๋ก๋ฏธํฐ ํฌ๊ธฐ ํน์ ๊ทธ ์ดํ์ ๊ฐ์์ฑ ๊ตฌ์กฐ์ฒด์์ ์์ ์ ์ผ๋ก ํ์ฑ๋๋ ํน์ดํ ๋ฐฐ์ด ๊ตฌ์กฐ๋ฅผ ๋งํ๋ค. ์๊ธฐ ์์ฉ๋์ด๋ ๋ฐ๋ง๋ฉด์ ์์งํ ์์ญ ๋๋
ธ๋ฏธํฐ ํฌ๊ธฐ์ ์๊ธฐ ์์ฉ๋์ด ํต๊ณผ, ๊ทธ ์ฃผ์์ ํ๋ฉด ๋ด ํ์ ํ๋ ๋ชจ์์ผ๋ก ๋ฐฐ์ด๋ ์คํ๋ค๋ก ๊ตฌ์ฑ๋๋ค. ์๊ธฐ ์์ฉ๋์ด์ ์ธ๋ถ ์๊ธฐ์ฅ ํน์ ์ ๋ฅ ๋ฑ์ ์ธ๊ฐํ๋ฉด ์๊ธฐ ์์ฉ๋์ด ํต์ด ํ์ ์ด๋์ ํ๋ ์ฑ์ง์ด ์๋ค. ์ด๋ฌํ ์๊ธฐ ์์ฉ๋์ด๋ ํต์ ๋ ๊ฐ์ง ์ํ๋ฐฉํฅ๊ณผ ์ฃผ๋ณ์ ๋ฐฐ์ด๋ ์คํ๋ค์ ๋ ๊ฐ์ง ํ์ ๋ฐฉํฅ์ ์กฐํฉ์ผ๋ก ๋ค ๊ฐ์ ๋์ผํ ๊ธฐ์ ์๋์ง ์ค์๋ฅผ ๊ฐ์ง ์ ์๊ณ , ์ด์ ์ผ๋ก ๋งค์ฐ ์์ ํ๊ธฐ ๋๋ฌธ์ ๋นํ๋ฐ์ฑ ์ ๋ณด์ ์ฅ ์์๋ก ์์ฉ ๊ฐ๋ฅํ๋ค. ๋ํ ์ฌ๋ฌ ๊ฐ์ ๊ฒฐํฉ๋ ์๊ธฐ ์์ฉ๋์ด ์ฌ์ด์์ ๋ํ๋๋ ์๊ธฐ ์์ฉ๋์ด ํต์ ์ง๋จ์ ํ์ ์ด๋์ ์๋ก์ด ์ ํธ์ ๋ฌ์ ๋งค๊ฐ์ฒด๋ก ์ด์ฉ๋ ์ ์์ด ์ ๋ณด์ฒ๋ฆฌ ์์๋ก์ ์์ฉ์ฑ์ ๋ํ ์ฐ๊ตฌ๊ฐ ์งํ๋์ด์๋ค.
๋ณธ ํ์ ๋
ผ๋ฌธ์์๋ ๋ฏธ์์๊ธฐ ์ ์ฐ๋ชจ์ฌ ๋ฐ ์คํ์ ์ด์ฉํ์ฌ ์๊ธฐ ์์ฉ๋์ด์ ๋์ ๊ฑฐ๋๊ณผ ์๊ธฐ ์์ฉ๋์ด ๊ฐ์ ๋์ ์ํธ์์ฉ ์ฐ๊ตฌ์ ์ด์ ์ ๋๊ณ ์๋ค. ์๊ธฐ ๋์คํฌ ๋ฐฐ์ด์์ ์๊ธฐ ์์ฉ๋์ด ๊ฒฐํฉ ๋ชจ๋, ์๊ธฐ ์์ฉ๋์ด ํต ๋ฐ์ ๋ฐฉ๋ฒ ๋ฐ ์๊ธฐ ์์ฉ๋์ด ํต์ ํ์ ์ด๋ ์ ํธ ์ ๋ฌ์ ์ ์ด์ ๊ดํ ์ฐ๊ตฌ๊ฐ ์ฃผ ๋ด์ฉ์ด๋ค. ์ด๋ฌํ ์๊ธฐ ์์ฉ๋์ด์ ๋์ ๊ฑฐ๋ ์ ์ด ๋ฐฉ๋ฒ์ ์ด์ฉํด ์๋ก์ด ๊ฐ๋
์ RS ๋์น ๋
ผ๋ฆฌ ์์, ์๋ถํ ๋ฐ ์ฃผํ์ ๋ถํ ๋๋ฉํฐํ๋ ์ ์์๋ฅผ ์ ์ํ๊ณ ๊ทธ ๋์ ํน์ฑ์ ์ฐ๊ตฌํ์๋ค. ์๊ธฐ ์์ฉ๋์ด๋ฅผ ์ด์ฉํ ์์๋ค์ ๋นํ๋ฐ์ฑ์ด๋ฉฐ, ๊ฑฐ์ ๋ฌด์ ํ์ ์๋ช
์ ๊ฐ์ง๊ณ , ์๋์ง๊ฐ ์ ๊ฒ ๋๋ ๋ฑ ๋ง์ ์ฅ์ ์ ๊ฐ์ง๊ณ ์๋ค. ๋ํ ์๊ธฐ ์์ฉ๋์ด๋ ๊ทธ ํน์ฑ์ ์ ์ด๊ฐ ๋งค์ฐ ์ฉ์ดํด์ ํฅํ ๊ฐ๋ฐ๋ ์คํํธ๋ก๋์ค ์์๋ก ์์ฉ๋ ์ ์๋ ๊ฐ๋ฅ์ฑ์ ๊ฐ์ง๊ณ ์๋ค. ๋ณธ ์ฐ๊ตฌ ๊ฒฐ๊ณผ๋ ์ฐจ์ธ๋ ์คํํธ๋ก๋์ค ๊ธฐ์ ๋ก์ ์๊ธฐ ์์ฉ๋์ด์ ๊ธฐ๋ฐํ ๋
ผ๋ฆฌ ์์ ๋ฐ ์ ๋ณด ์ฒ๋ฆฌ ์ฅ์น์ ๊ตฌํ ๊ฐ๋ฅ์ฑ์ ๋ณด์ฌ์ค๋ค.In the sub-micrometer-size ferromagnetic structure, the magnetic vortex is in a strongly stable ground state characterized by an in-plane curling magnetization around and an out-of-plane magnetization in the central region. The magnetic vortex is characterized by clockwise (CW) or counter-clockwise (CCW) curling in-plane magnetizations around a single vortex core in which region magnetizations are perpendicularly oriented either upward or downward. In isolated disks, applied external forces induce vortex excitations, among which a translational mode exists in which the vortex core gyrates around its equilibrium position at a characteristic eigenfrequency. Vortex-core switching can be accomplished with low power consumption when vortex gyrations are resonantly excited. Moreover, the gyration modes of individual vortex cores in a periodic array of patterned vortex-state disks are coupled with each other, thus yielding collectively coupled motions of the individual cores. On the basis of such novel dynamic characteristics, non-volatile memory and information processing devices using magnetic vortex have been proposed.
This work focused on dynamic interaction between vortex-state ferromagnetic structures and its applications, utilizing micromagnetic simulations, analytical calculations, and experiments. The dynamic behaviors of vortex-gyration-coupled modes, vortex-core switching, and propagation of vortex-core gyration signal in magnetic-disk-network devices are investigated. Based on the combinations of the novel dynamic characteristics of vortices in dipolar-coupled disks, a new concept RS latch logic, time- and frequency-division demultiplexer device operations are explored. Magnetic vortex has many advantages such as non-volatility, almost unlimited endurance, and low power operation. Furthermore, a rich tunability of magnetic vortices makes them adoptable as future spintronics devices. This work can pave the way for possible implementation of logic gates and information processing devices based on coupled magnetic vortices.1. Introduction 1
2. Research Background 5
2.1. Magnetization dynamics and micromagnetics 5
2.1.1. Landau-Lifshitz-Gilbert equation 5
2.1.2. Effective fields in the LLG equation 8
2.2. Vortices in magnetic microstructures and their dynamics 10
2.2.1. Vortex core gyration 15
2.2.2. Vortex core switching 18
2.2.3. Interaction between magnetic vortices 18
2.3. Experimental methods 20
2.3.1. Photo lithography 20
2.3.2. Electron beam lithography 20
2.3.3. Anisotropic magneto resistance in vortex 21
3. Vortex Core Switching by Propagation of a Gyration-Coupled Mode 23
3.1. Micromagnetic simulation conditions 23
3.2. Coupled modes of gyration for the two types of vortex-state configurations 26
3.3. Concept design of reset-set latch device 32
3.4. Magnitude of oscillating magnetic field and radius of disks dependent switching behavior 36
3.5. Reset-set latch logic operation 39
4. Control of Gyration Signal Propagation in Coupled Magnetic Vortices 43
4.1. Dynamics of the single and coupled disk array 43
4.2. Control of gyration signal propagation by in-plane bias field 50
4.3. Control of gyration signal propagation by vortex core switching 53
4.4. Concept design of time-division demultiplexer device and its operation 60
4.5. Concept design of frequency-division demultiplexer device and its operation 65
5. Electrical Measurement of the Gyrotropic Resonance of a Magnetic Vortex in Circular and Chopped Disks. 68
5.1. Sample fabrication 68
5.2. DC AMR measurement 73
5.3. AC AMR measurement by rectification technique 78
6. Summary 88
Bibliography 90
Publication List 100
Patent List 102
Presentations in Conferences 103Docto
์กฐ์ ํ๊ธฐ ็ถฟ็ดฌๅป ๅคงๆฟ์ ้ฝ้ข๊ณผ ็ฆฎ้ข ์ด์: ่ญทๅชๆ ์๋ฃ์ ์ค์ฆ ๋ถ์
Taebang was at the center of the management of myoฬnjujoฬn. Taebang received money
from its members and paid money to them through hosangso, chobigye, paeksagye, and
sujuiso. The money was both chaetton and yejoฬn. In this study, in order to examine the
management of chaetton and yejoฬn, three types of account books written by Taebang in
relation to hosangso, such as hosangso sangyongchโaek, hosangso chโahachโaek, and
hosangso choฬnjangtuฬngnok, were empirically analyzed. The volume of chaetton and yejoฬn
and their long-term trend was identified from 1863 to 1900, when hosangso of myoฬnjujoฬn
was disappeared into history.
Hosangso sangyongchโaek was the account book of chaetton management and
hosangso chโahachโaek was the account book of yejoฬn management. Calculation in red
letters was made every six months, but in order to know the specific calculation process,
we must check hosangso choฬnjangtuฬngnok. The management of hosangso by myoฬnjujoฬn
can be commonly applied to chobigye, paeksagye, and sujuiso. The management of
chaetton and yejoฬn did not change significantly even after the amendment of regulations
in 1878 and the Kabo Reform in 1894.
Considering that both chaetton and yejoฬn were applied internally to the members of
myoฬnjujoฬn, it can be evaluated that myoฬnjujoฬn had been continued as a cooperative
association regardless of its procurement function or the aspect of a merchant
organization
Differential Biases and Variabilities of Deep Learning-Based Artificial Intelligence and Human Experts in Clinical Diagnosis: Retrospective Cohort and Survey Study
Background: Deep learning (DL)-based artificial intelligence may have different diagnostic characteristics than human experts in medical diagnosis. As a data-driven knowledge system, heterogeneous population incidence in the clinical world is considered to cause more bias to DL than clinicians. Conversely, by experiencing limited numbers of cases, human experts may exhibit large interindividual variability. Thus, understanding how the 2 groups classify given data differently is an essential step for the cooperative usage of DL in clinical application.
Objective: This study aimed to evaluate and compare the differential effects of clinical experience in otoendoscopic image diagnosis in both computers and physicians exemplified by the class imbalance problem and guide clinicians when utilizing decision support systems.
Methods: We used digital otoendoscopic images of patients who visited the outpatient clinic in the Department of Otorhinolaryngology at Severance Hospital, Seoul, South Korea, from January 2013 to June 2019, for a total of 22,707 otoendoscopic images. We excluded similar images, and 7500 otoendoscopic images were selected for labeling. We built a DL-based image classification model to classify the given image into 6 disease categories. Two test sets of 300 images were populated: balanced and imbalanced test sets. We included 14 clinicians (otolaryngologists and nonotolaryngology specialists including general practitioners) and 13 DL-based models. We used accuracy (overall and per-class) and kappa statistics to compare the results of individual physicians and the ML models.
Results: Our ML models had consistently high accuracies (balanced test set: mean 77.14%, SD 1.83%; imbalanced test set: mean 82.03%, SD 3.06%), equivalent to those of otolaryngologists (balanced: mean 71.17%, SD 3.37%; imbalanced: mean 72.84%, SD 6.41%) and far better than those of nonotolaryngologists (balanced: mean 45.63%, SD 7.89%; imbalanced: mean 44.08%, SD 15.83%). However, ML models suffered from class imbalance problems (balanced test set: mean 77.14%, SD 1.83%; imbalanced test set: mean 82.03%, SD 3.06%). This was mitigated by data augmentation, particularly for low incidence classes, but rare disease classes still had low per-class accuracies. Human physicians, despite being less affected by prevalence, showed high interphysician variability (ML models: kappa=0.83, SD 0.02; otolaryngologists: kappa=0.60, SD 0.07).
Conclusions: Even though ML models deliver excellent performance in classifying ear disease, physicians and ML models have their own strengths. ML models have consistent and high accuracy while considering only the given image and show bias toward prevalence, whereas human physicians have varying performance but do not show bias toward prevalence and may also consider extra information that is not images. To deliver the best patient care in the shortage of otolaryngologists, our ML model can serve a cooperative role for clinicians with diverse expertise, as long as it is kept in mind that models consider only images and could be biased toward prevalent diseases even after data augmentation.ope
Usefulness of serial measurement of the mean platelet volume to predict multiple organ dysfunction syndrome in patients with severe trauma
Objective: The early prediction of multiple organ dysfunction syndrome (MODS) in trauma patients and provision of prompt treatment may improve their outcomes. We investigated the efficacy of the mean platelet volume (MPV) for predicting MODS in cases of severe trauma.
Methods: This retrospective, observational cohort study was performed with patients prospectively integrated in a critical pathway of TRAUMA. We analyzed the severe trauma patients admitted to the emergency department (ED), based on the Advanced Trauma Life Support guideline, between January 1, 2011 and May 31, 2017. The outcomes were developed from MODS at least 48 hours after ED admission.
Results: A total of 348 patients were enrolled. An increase in the MPV at 12 hours (odds ratio [OR], 2.611; P8.6 fL (OR, 4.831; P<0.001). The area under the receiver operating characteristic curve (AUROC) value of the MPV at 12 hours (0.751; 95% confidence interval [CI], 0.687-0.818; P<0.01) was not inferior than that of Acute Physiology and Chronic Health Evaluation II score, injury severity score, lactate, and total CO2 for predicting MODS.
Conclusion: MPV was an independent predictor of MODS development in severe trauma patients. Emergency physicians can use the MPV as an ancillary biomarker for predicting MODS.ope
The usefulness of lactate as an early predictor of the severity of emergency department patients with postpartum hemorrhage
Objective: Only a few studies have examined the role of lactate reflecting on tissue hypoperfusion determining the severity of postpartum hemorrhage (PPH) patients in the emergency department (ED). This study evaluated the utility of the arterial lactate level as a prognostic marker of severity in PPH patients admitted to an ED.
Method: This retrospective, observational cohort study was conducted on patients integrated prospectively in a critical pathway of SPEED (Severance Protocol to save postpartum bleeding through Expeditious care Delivery). Adult primary PPH patients admitted to the ED between July 1, 2010 and March 31, 2017 were analyzed. The outcomes were the development of severe PPH including death, hysterectomy, surgical treatment, and massive transfusion.
Results: A total of 112 patients were enrolled in this study. An increase in the arterial lactate value was a strong independent predictor of severe PPH. The increasing predictability of severe PPH was closely associated with an arterial lactate โฅ3.15 mL/L at admission (odds ratio, 13.870; P<0.001).
Conclusion: Lactate is an independent predictor of severe PPH and is suitable for a rapid and simple estimation of the severity of PPH. Emergency physicians can use lactate to determine the initial treatment strategies more precisely.ope
่พฒๆๅธๅ ด์์์ ๅไบบๅ้ซ์ ๊ดํ ็ก็ฉถ : ๅฟ ๅ ๆดชๅ ไธๅธถ์ ่ค่ฒ ๅๅ์ ไธญๅฟ์ผ๋ก
ํ์๋
ผ๋ฌธ(์์ฌ)--์์ธ๋ํ๊ต ๋ํ์ :๊ฒฝ์ ํ๋ถ ๊ฒฝ์ ํ์ ๊ณต,2004.Maste
Coastal Trade Brokers and their Rights in Traditional Korea Revisited Using a Document Database from the Kyujanggak Collection
In the 1980s, a series of lists and research of Changt"o Munjลk, a unique collection of royal properties at Kyujanggak Institute, were published. Despite the rapid improvement in the understanding of Yลgaek Chuin, or coastal trade brokers in traditional Korea, no additional progress has been made since the 1990s. This paper attempts to conduct a critical review of existing research and present a novel method of analysis for Korean economic history research through the introduction of a database of Changt"o Munjลk related to Yลgaek Chuin in the provincial areas of Kyลnggi and Ch"ungch"ลng. Three hypotheses are developed in this study. First, the coastal trade brokers did not become major merchants or accumulate huge commercial capital. Second, the rights of coastal trade brokers were converged, standardized, and even concentrated into the royal force in the nineteenth century, while such rights were disputed in the eighteenth century. Lastly, the purchasing price, which is a key indicator of the secondary market of those rights, did not seem to rise sharply, unlike that depicted in existing research.ๆ้ฎฎ์ ๋ํ์ ์์
๊ธฐ๊ด์ค ๅฎข็๋ ๅฎขๅ์ ไธปไบบ์ด๊ณ ๏ผๆ
้ฃ์ ๆ
ๅ์ ๅฎฟๅฑ์ด๋ผ๋ ์ค๋ช
์ด 20์ธ๊ธฐ ์ด์ ์ ์๋ ๋ฐ ์๋ค. ์ด์ ๊ฐ์ด ๊ฐ์ฃผ์ ์ฌ๊ฐ์์ธ์์ ์ผ๋ก ๊ตฌ๋ถํ ๊ฒ์ ๊ฐ์ฃผ๊ฐ ์ํํ๋ ์ฌ๋ฌ ์
๋ฌด๊ฐ ์กฐ์ ํ๊ธฐ ็ไบบๆฌ์์ ํ์๋์ด ๋ค์
ํ๊ฒ ๋ถํ๏ผ๋ฐ์ ๋ ์ฌ์ ์ ์ดํดํ์ง ๋ชปํ ๊ฒฐ๊ณผ ๋ฐ์ํ ์ค๋ฅ์์์ด 21์ธ๊ธฐ ์ด์ ๋ค์ด ์ง์ ๋์๋ค. ์ฝ 100๋
์ด ๊ฒฝ๊ณผํ ์์ ์์๋๋ง ์ด์ ๊ฐ์ ์ธ์์ด ๊ฐ๋ฅํ๊ฒ ๋ ๊ฒ์ 1980๋
๋์ ์ง์ค์ ์ผ๋ก ์ํ๋์๋ ์ผ๋ จ์ ๆ
ๅฎขไธปไบบ ์ฐ๊ตฌ์ ํ์
์ ๋ฐ ํฌ๋ค. ์ฌ๊ฐ์ฃผ์ธ์ ๋ด๋ฅ์ ๋์๋ ์์
์ค์ฌ์ง๋ค์์ ํ๋ํ๋ ์์
์๋ณธ์ผ๋ก๏ผ์ ์์ฃผ์ธ์ ๊ฐ๊ฐ๋ ๋ฐ๋ค๊ฐ์ ํฌ๊ตฌ๋ค์ ํ์ฑ๋ ๋์๋ ์์
์ค์ฌ์ง๋ค์์ ํ๋ํ๋ ์์
์๋ณธ์ผ๋ก ๊ตฌ๋ถํ๋ ๊ฒฌํด๋ ์์ผ๋๏ผ์ด๋ ์ด๋๊น์ง๋ ๊ฐ์ข
ๅนดไปฃ่จ์ ๋ํ๋๋ ๋ถ์คํ๊ณ ๋ ๋จํธ์ ์ธ ๊ธฐ์ฌ์ ์์กดํ ๊ฒ์ด๋ค. ์ฌ๊ฐ์ฃผ์ธ์ ๊ดํ ์ ๋ฉด์ ์ฐ๊ตฌ๊ฐ ๊ฐ์๋๊ณ ๋ ํ์๋ ์ฌ๊ฐ์ฃผ์ธ์ ๋ฒ์ฃผ๋ฅผ ๆตฆๅฃๅๆฅญ๊ณผ ๊ด๊ณ๋ ๊ฒ์ผ๋ก ํ์ ํ์ฌ ์ดํดํ๋ ๊ฒ์ด ์ผ๋ฐ์ ์ด๋ฉฐ๏ผ์ด๋ ๊ฐ์ข
ๅคๆๆธ์ ๊ธฐ์ฌ๋ ํํ์ ๊ทผ๊ฑฐํ๋ค.์ด ๋
ผ๋ฌธ์ 2008๋
๋ ์ ๋ถ(๊ต์ก๊ณผํ๊ธฐ์ ๋ถ)์ ์ฌ์์ผ๋ก ํ๊ตญ์ฐ๊ตฌ์ฌ๋จ์ ์ง์์ ๋ฐ์ ์ฐ๊ตฌ๋์์(NRF-2008-361-A00007)
์ฒดํ์ ๊ด์ ์์ ๋ณธ J.W. von Goethe์ ๊ต์์์คใWilhelm Meisters Lehrjahreใ์ฐ๊ตฌ
ํ์๋
ผ๋ฌธ(์์ฌ)--์์ธ๋ํ๊ต ๋ํ์ :๋
์ด๋
๋ฌธํ๊ณผ,1995.Maste
ํ๋ฅ ๋ถํฌ๋ฅผ ์ด์ฉํ ๋ณตํฉ์ฌ๋ฃ์ ๊ฐ๋์์ธก
ํ์๋
ผ๋ฌธ(์์ฌ)--์์ธ๋ํ๊ต ๋ํ์ :์ฌ์ ๊ณ ๋ถ์๊ณตํ๊ณผ,1999.Maste