• 한국초전도학회:학술대회논문집
• /
• 한국초전도학회 2000년도 High Temperature Superconductivity Vol.X
• /
• pp.1-1
• /
• 2000

The infinite layer compound $ACuO_2$, (A-Alkaline earth) consists of infinite stacking of $CuO_2$ planes separated only by alkaline earth ions. This compound attracted much attention because it contains only key ingredient of all cuprate high temperature superconductor; $CuO_2$ plane with controllable carrier concentration without charge reservoir block. High pressure synthesis method has been found to be preferable for this system due to its ability of doping various lanthanide ion into A site with larger superconducting volume fraction. But rigorous study on this rudimentary compound has been hindered by insufficient quality of sample. Especially superconductlng volume fraction was often too small to identify its origin. In this presentation, we report high pressure synthesis of $Sr_{0.9}Ln_{0.1}CuO_2$ (Ln=La, Sm). By controlling the heating temperature precisely during high pressure synthesis we could have superconductors with quite high superconducting volume fraction for this compound. The magnetic properties of the graln aligned samples show very different behavior compared to the cuprate high temperature superconductors. Details will be discussed.

• 한국정보처리학회논문지
• /
• 제3권6호
• /
• pp.1386-1396
• /
• 1996

분산 멀티미디어 응용은 다양한 전송 품질을 요구하지만, 가장 중요한 특성은 높 은 성능과 적은 전송 지연이다. 고속 통신망의 전송 능력은 Gbps 수준을 제공하고 있 지만 통신 구조상의 허리 부분 병목 현상 때문에 멀티미디어 응용까지 효율적으로 제 공되지 못하고 있다. 이러한 문제점을 해결하기 위하여 통신 구조상 허리 부분을 수 평 구조화, 병렬화 함으로써 고속화 하였다. 불행하게도 OSI 프로토콜 스택은 계층 단위의 병렬화를 가로 막는 순서상 제약 조건을 갖고 있다. 우리 모델은 고정 패킷을 사용함으로써 망 계층에서 부터 표현 계층까지 동시에 수행시킬 수 있었다. 프로토타 입 구현에 의하면, 우리 모델은 기존의 OSI 계층 구조 모델에 비해 약 61%의 성능 향 샹을 보여 주었다.

• 한국컴퓨터정보학회논문지
• /
• 제26권10호
• /
• pp.185-198
• /
• 2021

인터넷 기술의 발달로 기존의 추천 알고리즘은 사용자나 항목의 심층적인 특성을 학습할 수 없기 때문에 본 논문은 이 문제를 해결하기 위해 AMITI(주의 메커니즘 및 개선된 TF-IDF)에 기반한 추천 알고리즘을 제안했다. CNN(Convolutional Neural Network)에 2중 주의 메커니즘을 도입함으로써 CNN의 특징 추출 능력이 향상되고, 항목 특징에 다른 선호도 가중치가 할당되며, 사용자 선호도와 더 일치하는 권고사항이 달성되었다. 대상 사용자에게 항목을 추천할 때 점수 데이터와 항목 유형 데이터를 TF-IDF와 결합하여 권장 결과의 그룹화를 완료하였다. 본 논문에서 진행한 MovieLens-1M 데이터 세트에 대한 실험 결과는, AMITI 알고리즘이 권장 사항의 정확도를 향상시키고 프레젠테이션 방법의 순서와 선택성을 향상시킨다는 것을 보여준다.

• 대한약침학회지
• /
• 제23권4호
• /
• pp.187-193
• /
• 2020

Objectives: It was aimed to investigate the basic action mechanism of the autoimmune diseases and common features of all diseases. Autoimmune disease are classified organ specific and systemic. Methods: These diseases are seen systemic and disease start locations, origins seem differently. This makes learning and understanding difficult. Autoimmune diseases investigated for easier understanding. It was noticed that, autoimmune diseases' starting places are specific and same all of them. This remarkable point is very important for acupuncture also. So; whole literatüre was researched and important point was found. Results: Whole autoimmune diseases are attack to mesodermal layers and mesodermal origin organs of the body's. The common property of all these disease are same; Diseases start from the mesoderm and mesodermal layer even though their organ origins' belongs to different germ layer. From this point of view, we were able to classify autoimmune diseases simply and it was planned how can we effect body in this context with acupuncture. Conclusion: And, when immunity comes into question, induction of adaptive immunity is depend on antigen presentation to T cells and this situation take place in the lymph node (LN) and also in the skin.When we sank the acupuncture needle into skin, signals create and start mesodermal contacts, during this time mesenchymal origin' autoimmune cells are regulated with this signals.

• Journal of applied mathematics & informatics
• /
• 제40권5_6호
• /
• pp.1151-1165
• /
• 2022

Key drive of information quarrying is to digest liked information starting possible information. With the colossal amount of realities kept in documents, information bases, and stores, in the medical care area, it's inexorably significant, assuming excessive, arising compelling resources aimed at examination besides comprehension like information on behalf of the withdrawal of gen that might assistance in independent direction. Classification is method in information mining; it's characterized as per private, passing on item toward a specific course established happening it is likeness toward past instances of different substances trendy the data collection. In pre-owned recycled four Classification algorithm that incorporate Multi-Layer perception, KSTAR, Bayesian Network and PART to fabricate the grouping replicas arranged the malaria data collection and analyze the replicas, degree their exhibition through Waikato Environment for Knowledge Analysis introduced to Java Development Kit 8, then utilizations outfit's technique trendy promoting presentation of the arrangement methodology. The outcome perceived that Bayesian Network return most elevated exactness of 50.05% when working on followed by Multi-Layer perception, with 49.9% when helping is half, then, at that point, Kstar with precision of 49.44%, 49.5% when supporting individually and PART have lesser precision of 48.1% when helping, The exploration recommended that Bayesian Network is awesome toward remain utilized on Malaria data collection in our sanatoriums.

• Journal of Yeungnam Medical Science
• /
• 제37권4호
• /
• pp.341-344
• /
• 2020

Hereditary neuropathy with liability to pressure palsy (HNPP) is a rare neurological genetic disease caused by deletion of the peripheral myelin protein 22 gene and presents in childhood or young adulthood. We report four cases of HNPP with typical and rare presentations, reflecting the broad clinical spectrum of this disease. Two patients presented with mononeuropathies that are frequently observed in HNPP; the remaining two presented with bilateral neuropathy or mononeuropathy anatomically present in the deep layer. This reflects the broad clinical presentation of HNPP, and clinicians should differentiate these conditions in young patients with monoparesis or bilateral paresis. Although HNPP is currently untreatable, early diagnosis in the emergency department can lead to early detection, eventually resulting in less provocation and recurrence which may cause early motor nerve degeneration.

• 한국소음진동공학회:학술대회논문집
• /
• 한국소음진동공학회 2005년도 춘계학술대회논문집
• /
• pp.911-916
• /
• 2005

Noise map is a presentation of existing data or predicted noise situation in terms of noise indicator. However, it has shortcoming for assessing the number of people exposed, or the number of dwellings affected to any relevant limit values of noise level in certain areas. In this study, so called over-ride value noise mapping is proposed to make up for the shortcoming by using over-ride function of object-oriented programming and it is to show the guard of the area where it is satisfied the standard of option, or it is not satisfactory. Over-ride value noisemap data is combined with topography layer, population and house statistics, and GIS space statistical analysis. The over-ride value noise mapping can also he applied to make the road traffic noisemap, the railroad noisemap, the aircraft noisemap, and the industrial site noisemap This can express noise damage information more exactly.

• International Journal of Korean Welding Society
• /
• 제3권1호
• /
• pp.2-7
• /
• 2003

Laser welding application for car body manufacturing has many advantages in the stiffness and the lightness of vehicle, the productivity of assembly line, and the degree of freedom in design. This presentation will express the innovation of car body manufacturing including parameter optimization, process modeling, and system integration. In this application the investment for systems was cut down dramatically by real time switching over the laser path between two welding stations. Points of technical discussion are as follows; optimization of parameters such as laser power, robot speed and trajectory, compact and useful design of jig & fixture to assure welding quality for 3 sheet-layer zinc-coated steel, system integration between 4㎾ Nd:YAG laser device and the other systems, on-line real time welding quality monitoring system, perfect safety standards for high power laser, minimization of consumption costs such as arc lamp, protective glass for optic, etc. This application was successfully launched mass production line in 2001. The laser-welded line of side panel consists of 122 stitches totally. And the length is about 2.4m.

• 한국재료학회:학술대회논문집
• /
• 한국재료학회 2011년도 추계학술발표대회
• /
• pp.13.1-13.1
• /
• 2011

Photoelectrochemical solar cells such as dye-sensitized cells (DSSCs), which exhibit high performance and are cost-effective, provide an alternative to conventional p-n junction photovoltaic devices. However, the efficiency of such cells plateaus at 11~12%, in contrast to their theoretical value of 33%. The majority of research has focused on improving energy conversion efficiency of DSSC by controlling nanostructure and exploiting new materials in photoelectrode consisting of semiconducting oxide nanoparticles and a transparent conducting oxide electrode (TCO) [1-5]. In this presentation, we introduce inverse opal-based scattering layers containing highly crystalline anatase nanoparticles and their feasibility for use as bi-functional light scattering layer is discussed in terms of optical reflectance and charge generation properties as a function of optical wavelength. A new ITO nanowire-based photoelecrode is also introduced and its unique charge collection property is presented, demonstrating potential use for highly efficient charge collection in DSSC.

• 한국재료학회:학술대회논문집
• /
• 한국재료학회 2011년도 춘계학술발표대회
• /
• pp.7.2-7.2
• /
• 2011

Photoelectrochemical solar cells such as dye-sensitized cells (DSSCs), which exhibit high performance and are cost-effective, provide an alternative to conventional p-n junction photovoltaic devices. However, the efficiency of such cells plateaus at 11~12%, in contrast to their theoretical value of 33%. The majority of research has focused on improving energy conversion efficiency of DSSC by controlling nanostructure and exploiting new materials in photoelectrode consisting of semiconducting oxide nanoparticles and a transparent conducting oxide electrode (TCO). In this presentation, we introduce monodisperesed TiO2 nanoparticles prepared by forced hydrolysis method and their superiority as photoelectrode materials was characterized with aids of optical and electrochemical analysis. Inverse opal-based scattering layers containing highly crystalline anatase nanoparticles are also introduced and their feasibility for use as bi-functional light scattering layer is discussed in terms of optical reflectance and charge generation properties as a function of optical wavelength.