• Proceedings of the Korean Vacuum Society Conference
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• 2012.02a
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• pp.234-234
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• 2012

Saddle field ion source는 구조가 간단하고 영구자석을 사용하지 않아 소형화에 유리하고 구조가 간단한 DC 파워서플라이를 이용하기 때문에 장치 가격이 저렴하여 다양한 분야에서 응용되고 있으며 특히 이온빔 밀링 분야에 많이 사용된다. 초기 saddle field ion source 는 대칭형의 구형이었으나 지속적인 연구 개발로 와이어형, 원판형, 원통형 등 다양한 형태의 saddle field ion source가 개발되었다. 본 연구에서는 비교적 제작이 용이하고, 구조적으로 외부간섭에 대하여 덜 민감한 원통형 saddle field ion source를 제작하였다. 초기 saddle field ion source는 이온원 내부에 saddle field를 형성하기 위하여 대칭 구조를 가지 형태로 제작되었으나, 비대칭 구조에서도 saddle field가 형성될 수 있고 비대칭 구조를 채택할 경우 한쪽으로 더 많은 이온빔을 인출할 수 있기 때문에 실제 응용면에서는 비대칭 구조가 더 유리하다. 따라서 본 연구에서는 원통형 비대칭 saddle field ion source를 제작하였으며, 제작된 이온소스는 높이가 62 mm 지름이 55 mm의 소형 이온소스였다. 제작된 원통형 saddle field ion source는 진공도와 가속전압에 따라 방전 모드 변화하였다. Saddle field ion source는 전극과 extractor의 구조에 따라 조금씩 다르지만 대체로 5x10-5 Torr ~ 5x10-4 Torr 영역에서 안정적으로 작동하였다. 이온소스 내부의 압력이 높을 경우 수십 mA 의 방전 전류가 흐르는 고전류 방전 모드로 작동하였으며 압력이 낮을 경우에는 동일한 전압에서 수 mA 의 방전 전류만 흐르는 저전류 방전 모드로 작동하였다. 압력이 더 높아질 경우 아크 방전이 발생하여 이온소스의 작동이 불안정하여 연속적인 작동이 어려웠다. 고전류 방전 모드에서는 이온빔 전류가 Child-Langmuir 방정식에 따라 Vi3/2에 비례하여 증가하는 경향을 보여주었으며 저전류 방전 모드에서는 Vi에 선형적으로 증가하였다. 가속 전압이 동일한 경우 고전류 방전 모드가 저전류 방전 모드에 비하여 더 많은 이온빔 인출이 가능하지만, 고전류 방전 모드의 경우 이온의 방출 각도가 매우 넓은 반면 저전류 방전 모드에서는 이온빔의 퍼짐이 현저히 줄어듦을 관찰할 수 있었다. 원통형 saddle field ion source는 내부 구조가 간단하기 때문에 내부 전극의 구조 변화에 따라 방전 특성 및 이온빔 인출 특성이 심하게 변동하였다. Saddle field ion source에서는 Anode에 인가되는 방전 전압이 가속 전압과 같은 역할을 하는데 가속 전압은 2~10 kV 사이에서 인가가 가능하였다. 일반적으로 동일한 방전 모드에서 진공도가 높아질수록 방전 전류의 양과 인출되는 이온의 양이 증가하는 것이 관찰되었다. 제작된 이온소스는 최적 조건에서 5 mm 인출구를 통하여 0.7 mA의 이온빔 인출이 가능하였으며, 9 mm 인출구를 사용한 경우 1 mA까지 이온빔 인출이 가능하였다.

• Analytical Science and Technology
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• v.31 no.1
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• pp.23-30
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• 2018

Twenty-two allergy-induced aromatics in children were analyzed using a gas chromatography flame ionization detector (GC-FID) and gas chromatography mass spectrometer (GC-MSD). Analytes were extracted using an automatic Soxhlet extractor and centrifuged for 10 min in a fast freezing centrifuge, and the supernatant was transferred into a 2 mL vial and injected in split mode. Under the established conditions, the calibration curve showed linearity with a correlation coefficient of 0.996 or more. A wide range of sensitivity of 6.7 to 1,859,839 depending on the device characteristics and detector used was shown. The detection limit of the device was 0.0032 to $0.0335{\mu}g/mL$, and the maximum detection limit was less than $0.1{\mu}g/mL$. The detection limit of the method ranged from 0.0033 to $0.1161{\mu}g/mL$. In addition, the limit of quantification ranged from 0.0100 to $0.5422{\mu}g/mL$, with a level of precision ranging from 0.21 % to 4.89 % and a degree of accuracy ranging from 89 % to 111 %. The analytical method developed in this study was applied to commercial products.

• Journal of Information Management
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• v.40 no.4
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• pp.1-22
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• 2009

Large-scaled information extraction plays an important role in advanced information retrieval as well as question answering and summarization. Information extraction can be defined as a process of converting unstructured documents into formalized, tabular information, which consists of named-entity recognition, terminology extraction, coreference resolution and relation extraction. Since all the elementary technologies have been studied independently so far, it is not trivial to integrate all the necessary processes of information extraction due to the diversity of their input/output formation approaches and operating environments. As a result, it is difficult to handle scientific documents to extract both named-entities and technical terms at once. In this study, we define scientific as a set of 10 types of named entities and technical terminologies in a biomedical domain. in order to automatically extract these entities from scientific documents at once, we develop a framework for scientific core entity extraction which embraces all the pivotal language processors, named-entity recognizer, co-reference resolver and terminology extractor. Each module of the integrated system has been evaluated with various corpus as well as KEEC 2009. The system will be utilized for various information service areas such as information retrieval, question-answering(Q&A), document indexing, dictionary construction, and so on.

• Applied Chemistry for Engineering
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• v.7 no.4
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• pp.743-749
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• 1996

A new static contractor using capillary phenomena induced by a highly packed fiber bundle was developed for the solvent extraction. When two immiscible phases being cocurrently and forcedly fed into the packed fiber bundle, the contactor brings about a very large liquid-liquid contact area for mass transfer within a small definite space without any turbulence and drop phenomena. In order to test the characteristics and stability of the static contractor system, continuous extraction experiments of TBP-uranyl ion-nitric acid system were done and compared with the batch extraction experiment of the same chemical system. The performance of the static contractor were the same as that of the ideal batch extractor with the same extraction condition. For the increase of the extraction yield by the contactor, the increase of organic flow rate was required at a fixed aqueous flow rate, and a certain residence time of the aqueous phase flow within the contactor system had to be maintained to meet the performance of the batch system of the same phase ratio. The residence time in the case of TBP-uranyl ion-nitric acid system was about 1.9 minutes. This system was confirmed to be effective and stable enough for purposes of the kinetic study of solvent extraction as well as the mutual separation and purification of ordinary materials because of good reproducibility and the stable and large static liquid-liquid contact area.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.39 no.4
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• pp.337-346
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• 2003

This paper describes on the system and method for automatically tracking and real-time monitoring the position of target ships relative to the own ship using a PC based radar system that displays radar images and electronic charts together on a single PC screen. This system includes a simulator for generating the GGA and VTG information of target ships and a simulator for generating the TTM and OSD outputs from a ARPA radar and then host computer accepts NMEA0183 sentences on the maneuvering information of target ships from these simulators. The results obtained are summarized as follows；1. The system developed this study can be used as a range finder for measuring the distance between two ships and as a device for providing the maneuvering information such as distance and bearing to target ships from own ship on ECS screen. 2. From the result of position tracking for a selected target ship tracked with an update rate of 5 seconds using the $\alpha$-$\beta$ tracker, we concluded that the smoothing effect by the $\alpha$-$\beta$tracker was very effective and stable except in the time interval until about one minute after the target is detected. 3. From the fact that the real-time maneuvering information of tracked ship targets via a local area network (LAN) from a host computer installed a radar target extractor was successfully transferred to various monitoring computers of ship, we concluded that this system can be used as a sub-monitoring system of ARPA radar.

• Journal of Biomedical Engineering Research
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• v.34 no.1
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• pp.8-13
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• 2013

Persons with sensorineural hearing impairment have troubles in hearing at noisy environments because of their deteriorated hearing levels and low-spectral resolution of the auditory system and therefore, they use hearing aids to compensate weakened hearing abilities. Various algorithms for hearing loss compensation and environmental noise reduction have been implemented in the hearing aid; however, the performance of these algorithms vary in accordance with external sound situations and therefore, it is important to tune the operation of the hearing aid appropriately in accordance with a wide variety of sound situations. In this study, a sound classification algorithm that can be applied to the hearing aid was suggested. The proposed algorithm can classify the different types of speech situations into four categories: 1) speech-only, 2) noise-only, 3) speech-in-noise, and 4) music-only. The proposed classification algorithm consists of two sub-parts: a feature extractor and a speech situation classifier. The former extracts seven characteristic features - short time energy and zero crossing rate in the time domain; spectral centroid, spectral flux and spectral roll-off in the frequency domain; mel frequency cepstral coefficients and power values of mel bands - from the recent input signals of two microphones, and the latter classifies the current speech situation. The experimental results showed that the proposed algorithm could classify the kinds of speech situations with an accuracy of over 94.4%. Based on these results, we believe that the proposed algorithm can be applied to the hearing aid to improve speech intelligibility in noisy environments.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.2
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• pp.15-23
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• 2017

The person Re-identification is the most challenging part of computer vision due to the significant changes in human pose and background clutter with occlusions. The picture from non-overlapping cameras enhance the difficulty to distinguish some person from the other. To reach a better performance match, most methods use feature selection and distance metrics separately to get discriminative representations and proper distance to describe the similarity between person and kind of ignoring some significant features. This situation has encouraged us to consider a novel method to deal with this problem. In this paper, we proposed an enhanced recurrent neural network with three-tier hierarchical network for person re-identification. Specifically, the proposed recurrent neural network (RNN) model contain an iterative expectation maximum (EM) algorithm and three-tier Hierarchical network to jointly learn both the discriminative features and metrics distance. The iterative EM algorithm can fully use of the feature extraction ability of convolutional neural network (CNN) which is in series before the RNN. By unsupervised learning, the EM framework can change the labels of the patches and train larger datasets. Through the three-tier hierarchical network, the convolutional neural network, recurrent network and pooling layer can jointly be a feature extractor to better train the network. The experimental result shows that comparing with other researchers' approaches in this field, this method also can get a competitive accuracy. The influence of different component of this method will be analyzed and evaluated in the future research.

• Journal of the Korean GEO-environmental Society
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• v.11 no.5
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• pp.53-60
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• 2010

The comprehensive tests on unsaturated weathered granite soils are carried out to obtain the soil-water characteristic curve that is the one of the essential requisites to study the unsaturated soil. The weathered granite soils were obtained at Palgong mountain in Daegu. The existing test results have been carried out without overburden pressures and volume changes. In this study, the volumetric pressure plate extractor is improved to consider two factors such as overburden pressure and volume change. The applied overburden pressures were 0, 25, 50, 75, 100kPa and volume changes were measured at each phase. he results of this study are summarized as follows: As the overburden pressure increases, the volumetric water content decreases at the same matric suction and the air entry value increases and gradient of curve at the transition zone and the size of the hysteresis loops decreases. As the overburden pressure increases, the degree of saturation increases at the same matric suction and degree of saturation of the wetting curve is higher than that of dry curve. The SWCC with volume changes are slightly larger than those without volume changes. The general equation proposed by Fredlund & Xing(1994) to fit the experimental result of the SWCC indicates good agreement. The empirical parameters a, n, m as overburden pressure show similar inclination as the existing results.

• Journal of Life Science
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• v.16 no.4
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• pp.640-646
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• 2006

The present investigation was carried out particularly to optimize the extraction process of Poncirus trifoliata and Prunus mume to develop a functional foodstuff having antibacterial activity against Vibrio parahaemolyticus. The extracts were prepared from the fruits under various conditions, and then optimum extraction conditions were decided in case maximal antibacterial activity was obtained. In extraction process by using hot water, the best antibacterial activity of Poncirus trifoliata was achieved at $80{\sim}100^{\circ}C$ for 30 min, while that of Prunus mume was achieved at $100^{\circ}C$ for 30 min, as showing 14.8 and 16.6 mm of inhibition diameter, respectively. The extraction process with addition of NaOH increased the activity of Prunus mume, but addition of $K_2CO_3$ and $NaHCO_3$ drastically decreased the activity. In the processes at high temperature up to $120^{\circ}C$ by using pressure extractor and with various concentrations of NaOH, the maximum activity was observed in the extract of Prunus mume at $120^{\circ}C$ for 30 min with 0.05 N NaOH. The fermented ethanol extract of the fruits showed less activity than those of the extracts with water and NaOH solution.

• KSBB Journal
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• v.20 no.1 s.90
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• pp.12-17
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• 2005

Despite a wide range of fatty acids in fish oil, its the usage are very limited owing to off-flavors and volatile compounds in the oil. A way to extract and remove volatile compounds was performed at a semi-flow extractor by using supercritical carbon dioxide $(SC-CO_2)$. Samples of the oil were treated at the conditions which ranged from $30\;to\;80^{\circ}C$ and from 80 to 200 bar with 10 mL/min flow rate of carbon dioxide. In the oil the volatile compounds were analyzed by gas chromatography. Before extraction with $SC-CO_2$ the oil sample was detected over 129 peaks but 99 compounds were identified. The results demonstrated that at $40^{\circ}C$ and 200 bar extraction condition the volatile compounds in the tuna fish oil were removed, except for 14 compounds identified after extraction and other $SC-CO_2$ extraction conditions reached to high reduction of the volatile compounds.