• Current Applied Physics
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• 제18권11호
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• pp.1174-1181
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• 2018

In nanomagnetism, one of the crucial scientific questions is whether magnetic behaviors are deterministic or stochastic on a nanoscale. Apart from the exciting physical issue, this question is also of paramount highest relevance for using magnetic materials in a wealth of technological applications such as magnetic storage and sensor devices. In the past, the research on the stochasticity of a magnetic process has been mainly done by macroscopic measurements, which only offer ensemble-averaged information. To give more accurate answer for the question and to fully understand related underlying physics, the direct observation of statistical behaviors in magnetic structures and magnetic phenomena utilizing advanced characterization techniques is highly required. One of the ideal tools for such study is a full-field soft X-ray microscope since it enables imaging of magnetic structures on the large field of view within a few seconds. Here we review the stochastic behaviors of various magnetic processes including magnetization reversal process in thin films, magnetic domain wall motions in nanowires, and magnetic vortex formations in nanodisks studied by full-field soft X-ray microscopy. The origin triggering the stochastic nature witnessed in each magnetic process and the way to control the intrinsic nature are also discussed.

• 한국분무공학회지
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• 제25권4호
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• pp.188-195
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• 2020

To meet stringent emission regulations of automotive engines, fuel injection control techniques have advanced based on reliable and fast computing prediction models. This study aims to develop a reliable lightweight prediction model of fuel injection rates using a small number of input parameters and based on simple fluid dynamic theories. The prediction model uses the geometry of the injector nozzle, needle motion data, injection conditions and the fuel properties. A commercial diesel injector and US No. 2 diesel were used as the test injector and fuel, respectively. The needle motion data were measured using X-ray phase-contrast imaging technique under various fuel injection pressures and injection pulse durations. The actual injector rate profiles were measured using an injection rate meter for the validation of the model prediction results. In the case of long injection durations with the steady-state operation, the model prediction results showed over 99 % consistency with the measurement results. However, in the case of short injection cases with the transient operation, the prediction model overestimated the injection rate that needs to be further improved.

• Journal of Trauma and Injury
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• 제37권2호
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• pp.166-169
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• 2024

Stab wounds, particularly those affecting multiple body regions, present considerable challenges in trauma care. This report describes a case of sustained self-inflicted stab injuries to the abdomen and thighs of a 23-year-old male patient. Although the patient's vital signs were stable and bleeding was minimal from thigh wounds without overt signs of vascular injury, the patient experienced a sudden, profound hemorrhage from the right thigh, leading to cardiac arrest. Successful resuscitation was followed by surgical repair of a right superficial femoral arterial injury accompanying a resuscitative endovascular balloon of the aorta. Subsequent lower extremity computed tomography angiography revealed no additional vascular abnormalities. The patient was discharged in stable condition on the 12th postoperative day. This case underscores the unpredictability of stab wound trajectories and the potential for hidden vascular injuries, even in the absence of immediate life-threatening signs. It also emphasizes the critical role of advanced imaging modalities, such as computed tomography angiography, in identifying concealed injuries, and the importance of strategic intraoperative techniques, including resuscitative endovascular balloon occlusion of the aorta, in achieving favorable patient outcomes.

• Journal of Periodontal and Implant Science
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• 제48권4호
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• pp.202-212
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• 2018

Purpose: Bone-to-implant contact (BIC) is difficult to measure on micro-computed tomography (CT) because of artifacts that hinder accurate differentiation of the bone and implant. This study presents an advanced algorithm for measuring BIC in micro-CT acquisitions using a spiral scanning technique, with improved differentiation of bone and implant materials. Methods: Five sandblasted, large-grit, acid-etched implants were used. Three implants were subjected to surface analysis, and 2 were inserted into a New Zealand white rabbit, with each tibia receiving 1 implant. The rabbit was sacrificed after 28 days. The en bloc specimens were subjected to spiral (SkyScan 1275, Bruker) and round (SkyScan 1172, SkyScan 1275) micro-CT scanning to evaluate differences in the images resulting from the different scanning techniques. The partial volume effect (PVE) was optimized as much as possible. BIC was measured with both round and spiral scanning on the SkyScan 1275, and the results were compared. Results: Compared with the round micro-CT scanning, the spiral scanning showed much clearer images. In addition, the PVE was optimized, which allowed accurate BIC measurements to be made. Round scanning on the SkyScan 1275 resulted in higher BIC measurements than spiral scanning on the same machine; however, the higher measurements on round scanning were confirmed to be false, and were found to be the result of artifacts in the void, rather than bone. Conclusions: The results of this study indicate that spiral scanning can reduce metal artifacts, thereby allowing clear differentiation of bone and implant. Moreover, the PVE, which is a factor that inevitably hinders accurate BIC measurements, was optimized through an advanced algorithm.

• Nuclear Engineering and Technology
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• 제52권3호
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• pp.633-646
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• 2020

Imaging and scattering techniques using thermal neutrons allow to analyze complex specimens in scientific and industrial researches. Owing to this advantage, there have been a considerable demand for neutron facilities in the industrial sector. Among neutron sources, an accelerator driven compact neutron source is the only one that can satisfy the various requirements-construction budget, facility size, and required neutron flux-of industrial applications. In this paper, a target, moderator, and reflector (TMR) system for low-energy proton-accelerator driven compact thermal neutron source was designed via Monte Carlo simulations. For 10-30 MeV proton beams, the optimal conditions of the beryllium target were determined by considering the neutron yield and the blistering of the target. For a non-borated polyethylene moderator, the neutronic properties were verified based on its thickness. For a reflector, three candidates-light water, beryllium, and graphite-were considered as reflector materials, and the optimal conditions were identified. The results verified that the neutronic intensity varied in the order beryllium > light water > graphite, the compacter size in the order light water < beryllium < graphite and the shorter emission time in the order graphite < light water < beryllium. The performance of the designed TMR system was compared with that of existing facilities and were laid between performance of existing facilities.

• 대한의용생체공학회:의공학회지
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• 제23권4호
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• pp.269-279
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• 2002

인체에 전류주입하면, 내부에는 전압 및 전류밀도의 분포가 형성된다 이때, 인체내부의 전류밀도와 전류를 주입하는 도선에 흐르는 전류는 자장을 형성하게 된다. 인체내부에 유기된 자속밀도는 자기공명영상의 위상을 변화시키므로. 위상영상으로부터 자속밀도를 측정할 수 있다. 자속밀도의 curl을 취하여 전류밀도를 구하면, 주입전류에 의한 내부의 전류밀도 분포를 영상화하는 것이 가능하다. 이러한 자기공명 전류밀도 영상법을 자기공명 임피던스 단층촬영에 응용하여 고해상도의 저항률 영상을 복원하는 연구가 진행되고 있다. 본 논문에서는 인체와 간은 전도성 물체에 전류를 주입할 때. 내부에 형성되는 전압, 전류밀도 및 자속밀도의 3차원적인 분포를 수치적으로 계산하는 방법을 기술한다. 이러한 수치적인 해석기술은 자기공명 전류밀도 영상법의 실험방법 설계와 자기공명 임피던스 단층촬영의 영상복원 알고리즘 개발에 필수적인 부분이다. 본 논문에서는 유한요소법과 Biot-Savart 법칙에 기반하여, 여러가지 모델에서 계산한 결과를 기술하고, 그 해석을 통하여 수치적인 해의 정확도와 유의성을 검증하였다.

• 한국광학회지
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• 제16권3호
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• pp.209-216
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• 2005

전차 조준경으로 사용될 수 있는 2세대 열상장비를 개발하였다. 설계된 장비는 프랑스 Sofradir사의 $480\times6$ 배열 원적외선$(7.7{\mu}m-10.3{\mu}m)$ MCT(HgCdTe) 검출기를 이용하였고, $2.67^{\circ}\times2^{\circ}$의 고배율 협시계와 $10^{\circ}\times7.5^{\circ}$의 저배율 광시계의 이중배율을 가지고 있다. 또한 넓은 운용 온도 범위에서도 시스템의 성능이 저하되지 않도록 비열화 기술을 적용하였다. 설계된 장비는 고효율의 주사장치로 47만 화소의 실시간 영상 재현이 가능하며, 이는 1세대 열상장비에 비하여 화소수가 대폭 증가한 것이다. 적외선 검출소자들의 불균일 보정을 위해서 열전 냉각 소자를 이용한 두 점 보상 기법을 제시하여 실시간 보정이 이루어지게 하였고, 열영상 분포 히스토그램 가변 방식의 처리 기법을 제안하여 적용함으로써 대조비가 매우 낮은 표적의 식별도 용이하게 하였다. 설계 및 제작된 2세대 열상장비의 고배율에서 최소분해가능온도차를 측정한 결과, 2cycles/mrad의 공간주파수에서 0.05K 이하의 우수한 결과를 보였다.

• Archives of Plastic Surgery
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• 제32권2호
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• pp.175-182
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• 2005

Skull base tumors have been determined inoperable because it is difficult to accurately diagnose the extent of the involvement and to approach and excise the tumor safely. However, recently, the advent of sophisticated diagnostic tools such as computed tomography and magnetic resonance imaging as well as the craniofacial and neurosurgical advanced techniques enabled an accurate determination of operative plans and safe approach for tumor excision. Resection of these tumors may sometimes result in massive and complex extirpation defects that are not amenable to local tissue closure. The purpose of this study is to analyze experiences of skull base reconstruction and to evaluate long term survival rate and complications. All cranial base reconstructions performed from July 1993 to September 2000 at Department of Plastic and Reconstructive Surgery of the Seoul National University Hospital were observed. The medical records were reviewed and analysed to assess the location of defects, reconstruction method, existence of the dural repair, history of preoperative radiotherapy and chemotherapy, complications and causes of death of the expired patients. There were 12 cases in region II, 8 cases in region I and 1 case in region III according to the Irish classification of skull base. Cranioplasty was performed in 4 patients with a bone graft and microvascular free tissue transfer was selected in 17 patients to reconstruct the cranial base and/or mid-facial defects. Among them, 11 cases were reconstructed with a rectus abdominis musculocutaneous free flap, 2 with a latissimus dorsi muscluocutaneous free flap, 1 with a fibular osteocutaneous free flap, 2 with a scapular osteocutaneous free flap, and 1 with a forearm fasciocutaneous free flap, respectively. During over 3 years follow-up, 5 patients were expired and 8 lesions were relapsed. Infection(3 cases) and partial flap loss(2 cases) were the main complications and multiorgan failure(3 cases) by cancer metastasis and sepsis(2 cases) were causes of death. Statistically 4-years survival rate was 68%. A large complex defects were successfully reconstructed by one-stage operation and, the functional results were also satisfactory with acceptable survival rates.

• Journal of Korean Neurosurgical Society
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• 제42권3호
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• pp.159-167
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• 2007

Vestibular schwannoma (VS) is a benign tumor typically originated in the schwann cell of vestibular nerve and usually accompany hearing symptom. Microsurgical removal and radiosurgery have a great role for the treatment of VS. Recently radiosurgery has been considered as an alternative or primary treatment for VS with the tremendous increase of patients who were treated with gamma knife radiosurgery (GKS) though microsurgery still takes the premier. By many published results, it is proved that GKS is a effective and noninvasive technique for VS, especially small sized tumors with satisfactory tumor control rate. The authors assumed that GKS can be expected to achieve satisfactory tumor control rate for small VS under 5cc in volume. A major interest regarding radiosurgery nowadays is to determine the optimal radiation dose for hearing preservation to improve the quality of life of patients. The more high radiation dose are used for effective tumor growth control, the more radiation-related complications like as hearing deficit, the impairment of other cranial nerve function are increased. Since 1990's the mean radiation dose for tumor margin was more than 18 Gy, but there were high complication rate in spite of good tumor growth control. After the year of 2000, under the influence of advanced neuro-imaging techniques and radiosurgical planning system which enable clinicians to do more precise planning, marginal dose for VS has been decreased to 12-13 Gy and the radiation-related complications has been reduced. But because there may be a unexpected radiation induced complications as time goes by after the latency period, optimal radiation dose for VS should be established on the basis of more long term follow-up observation.

• International Journal of Computer Science & Network Security
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• 제22권4호
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• pp.420-426
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• 2022

Breast cancer is among the cancers that may be healed as the disease diagnosed at early times before it is distributed through all the areas of the body. The Automatic Analysis of Diagnostic Tests (AAT) is an automated assistance for physicians that can deliver reliable findings to analyze the critically endangered diseases. Deep learning, a family of machine learning methods, has grown at an astonishing pace in recent years. It is used to search and render diagnoses in fields from banking to medicine to machine learning. We attempt to create a deep learning algorithm that can reliably diagnose the breast cancer in the mammogram. We want the algorithm to identify it as cancer, or this image is not cancer, allowing use of a full testing dataset of either strong clinical annotations in training data or the cancer status only, in which a few images of either cancers or noncancer were annotated. Even with this technique, the photographs would be annotated with the condition; an optional portion of the annotated image will then act as the mark. The final stage of the suggested system doesn't need any based labels to be accessible during model training. Furthermore, the results of the review process suggest that deep learning approaches have surpassed the extent of the level of state-of-of-the-the-the-art in tumor identification, feature extraction, and classification. in these three ways, the paper explains why learning algorithms were applied: train the network from scratch, transplanting certain deep learning concepts and constraints into a network, and (another way) reducing the amount of parameters in the trained nets, are two functions that help expand the scope of the networks. Researchers in economically developing countries have applied deep learning imaging devices to cancer detection; on the other hand, cancer chances have gone through the roof in Africa. Convolutional Neural Network (CNN) is a sort of deep learning that can aid you with a variety of other activities, such as speech recognition, image recognition, and classification. To accomplish this goal in this article, we will use CNN to categorize and identify breast cancer photographs from the available databases from the US Centers for Disease Control and Prevention.