• Journal of the Korean Crystal Growth and Crystal Technology
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• v.34 no.2
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• pp.61-65
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• 2024

HVPE (Hydride vapor phase epitaxy) is a method of manufacturing thin films or single crystals using gaseous raw materials. This is a method that applies the principles of chemical vapor deposition to grow a single crystal of a material with low meltability or high melting point, and is one of the methods that can obtain a gallium nitride (GaN) single crystal. Recently, much research has been conducted to grow aluminum nitride (AlN) single crystals using this method, but good results have not yet been obtained. In this study, we attempted to grow AlN single crystals using the HVPE method. Nitrogen was used as a carrier gas in the growth process, and the growth results according to changes in the amount of nitrogen (N₂) were examined. Changes in growth crystals as the amount of nitrogen increased were confirmed. The shape of the grown AlN single crystal was observed using an optical microscope, and the rocking curve was measured using double crystal X-ray diffractometry (DCXRD) to confirm the creation of the AlN crystal. The crystallinity of single crystals was also investigated.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.13 no.7
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• pp.667-678
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• 2002

In this paper, a new radiating structure with a multi-layered two-dimensional metallic disk array was proposed for shaping the flat-topped element pattern. It is an infinite periodic planar array structure with metallic disks finitely stacked above the radiating circular waveguide apertures. The theoretical analysis was in detail performed using rigid full-wave analysis, and was based on modal representations for the fields in the partial regions of the array structure and for the currents on the metallic disks. The final system of linear algebraic equations was derived using the orthogonal property of vector wave functions, mode-matching method, boundary conditions and Galerkin's method, and also their unknown modal coefficients needed for calculation of the array characteristics were determined by Gauss elimination method. The application of the algorithm was demonstrated in an array design for shaping the flat-topped element patterns of $\pm$20$^{\circ}$ beam width in Ka-band. The optimal design parameters normalized by a wavelength for general applications are presented, which are obtained through optimization process on the basis of simulation and design experience. A Ka-band experimental breadboard with symmetric nineteen elements was fabricated to compare simulation results with experimental results. The metallic disks array structure stacked above the radiating circular waveguide apertures was realized using ion-beam deposition method on thin polymer films. It was shown that the calculated and measured element patterns of the breadboard were in very close agreement within the beam scanning range. The result analysis for side lobe and grating lobe was done, and also a blindness phenomenon was discussed, which may cause by multi-layered metallic disk structure at the broadside. Input VSWR of the breadboard was less than 1.14, and its gains measured at 29.0 GHz. 29.5 GHz and 30 GHz were 10.2 dB, 10.0 dB and 10.7 dB, respectively. The experimental and simulation results showed that the proposed multi-layered metallic disk array structure could shape the efficient flat-topped element pattern.

• Journal of Dairy Science and Biotechnology
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• v.31 no.1
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• pp.9-20
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• 2013

The study was conducted to evaluate the feasibility of Mozzarella cheese analogue generation by using a mixture of soy milk and raw milk and to compare the quality of the resultant cheese with that of Mozzarella cheese manufactured using the traditional method. The mixtures showed increase in protein and decrease in lactose and SNF in a dose-dependent manner with the addition of soy milk. The Mozzarella cheese analogue had lower total solids content than the control cheese product, while the fat content was similar between both. The analogue cheese had lower ash content than the traditionally prepared cheese; the content was proportional to the amount of soy milk in the mixture. Higher soy milk quantities within mixtures also resulted in proportionally higher levels of fat content within analogue cheese. Water-soluble nitrogen content was lower in the analogue cheese than in the control cheese. While the WSN level increased in the control cheese, it was almost constant in the analogue cheese. The control cheese had much higher actual and predicted yield than the analogue cheese, while the analogue cheese had a higher stability level. The control cheese had a higher transfer rate than the analogue cheese, with the exception of lactose. Electrophoresis analysis showed bands for Mozzarella cheese analogues that were present in addition to the normal ${\alpha}$-casein and ${\beta}$-casein bands. Physical characteristic analysis showed that hardness was affected by the addition of soy milk to cheese, while cohesiveness and brittleness were affected by the addition of raw milk, and elasticity was barely affected by milk composition. The meltability of the control cheese was higher than that of the analogue cheese and increased during 30 days of storage at $4^{\circ}C$. Browning, oiling-off, and stretching characteristics were almost identical between the 2 types of cheeses. Sensory evaluation findings showed that the control cheese had much better body texture, appearance, and flavor than the analogue cheese.

• Journal of Dairy Science and Biotechnology
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• v.31 no.1
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• pp.35-49
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• 2013

The purpose of this study was to develop Mozzarella cheese analogues by using dairy products in the form of WPC 34, WPC 80, whey protein, demineralized whey powder, and lactose powder along with soy milk. Soy milk was separately blended with 5% WPC 34 (A), WPC 80 (B), DWP (C), WP (D), and LP (E) and also with 10% WPC 34 (F), WPC 80 (G), DWP (H), WP (I), and LP (J). Blending of soy milk and whey products showed that increase in the proportions of whey products (WPC 34, WPC 80, DWP, WP, and LP) led to increase in the protein, lactose, and SNF levels of the admixture. A decrease in fat content was observed for all cheeses prepared from mixtures, relative to those for the control cheese. The nitrogen content within analogue samples was higher than that in the control cheese and increased with increase in the proportions of whey products within soy milk. Higher water soluble nitrogen levels were observed in cheese prepared from whey-product-blended soy milk than in the control cheese. The non-protein nitrogen level within the control Mozzarella cheese was significantly lower than that in the Mozzarella analogues, and, in the case of cheese analogues, it increased with increase in the proportion of whey products in soy milk. With regard to the physicochemical and sensory qualities of the Mozzarella cheese analogues and control cheese, the pH of all analogue samples, with the exception of the cheese prepared from group G, was lower than that of the control Mozzarella cheese. Rheological studies showed that the hardness of Mozzarella cheese analogues was lower than that of the control Mozzarella, while the elasticity, cohesiveness, and brittleness of the analogues was higher. The control sample had a higher meltability level than any of the Mozzarella analogues. Mozzarella cheese prepared with the traditional method had higher browning and stretching levels than all the cheese analogues, but a lower oiling-off level.

• Journal of Dairy Science and Biotechnology
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• v.31 no.1
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• pp.21-33
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• 2013

The purpose of this study was to improve the production of Mozzarella cheese analogues manufactured using mixtures of soy milk and concentrated raw milk by performing ultrafiltration (UF) and to assess the quality of these cheeses during a 30-day storage period at $4^{\circ}C$, relative to that of Mozzarella cheese manufactured with the traditional method. The solid consistency of Mozzarella cheese analogue prepared from milk mixtures was lower than that of cheese manufactured from raw milk or soy milk and increased during storage, which is considered to be the result of decreasing water levels, as well as with increasing soy milk concentrations. In the Mozzarella cheese analogue generated using the milk mixtures, the fat content decreased with increase in the soy milk concentration, while it decreased during the storage period. Lactose levels were lowest in cheese composed of soy milk or raw milk and processed by UF, and decreased during storage in cheese produced using milk mixtures. In milk mixtures containing soy milk, the protein concentration increased with increasing amounts of raw milk and did not change during the storage period. The water-soluble nitrogen compound level was similar between cheeses and increased only slightly during storage. The amount of non-protein nitrogen compounds was higher in the cheese analogue than in the control cheese and tended to increase during storage. Analysis of the physicochemical traits of the Mozzarella cheese analogue yielded the following results: During storage, titratable acidity levels increased while pH tended to decrease. After analysis using electropherograms, it was classified as ${\alpha}$-, ${\beta}$-, or ${\kappa}$-casein. The results of rheometry tests showed that in the Mozzarella cheese analogue prepared from milk mixtures, with raw milk concentrated by UF, increases in concentration rate lead to lowered hardness, elasticity, cohesiveness, and brittleness. When cheese was produced from milk mixtures and concentrated by UF, meltability increased as the concentration rate increased, although to an extent that was less than that observed for the control cheese, and tended to increase during storage. Sensory evaluation showed that the analogue cheese was much better than the control cheese in terms of formation, appearance, and flavor.

• Journal of KIISE:Databases
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• v.31 no.5
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• pp.468-478
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• 2004

It is essential in various application areas of data mining and bioinformatics to effectively retrieve the occurrences of interesting patterns from sequence databases. For example, let's consider a network event management system that records the types and timestamp values of events occurred in a specific network component(ex. router). The typical query to find out the temporal casual relationships among the network events is as fellows: 'Find all occurrences of CiscoDCDLinkUp that are fellowed by MLMStatusUP that are subsequently followed by TCPConnectionClose, under the constraint that the interval between the first two events is not larger than 20 seconds, and the interval between the first and third events is not larger than 40 secondsTCPConnectionClose. This paper proposes an indexing method that enables to efficiently answer such a query. Unlike the previous methods that rely on inefficient sequential scan methods or data structures not easily supported by DBMSs, the proposed method uses a multi-dimensional spatial index, which is proven to be efficient both in storage and search, to find the answers quickly without false dismissals. Given a sliding window W, the input to a multi-dimensional spatial index is a n-dimensional vector whose i-th element is the interval between the first event of W and the first occurrence of the event type Ei in W. Here, n is the number of event types that can be occurred in the system of interest. The problem of‘dimensionality curse’may happen when n is large. Therefore, we use the dimension selection or event type grouping to avoid this problem. The experimental results reveal that our proposed technique can be a few orders of magnitude faster than the sequential scan and ISO-Depth index methods.hods.

• Journal of KIISE:Software and Applications
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• v.31 no.10
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• pp.1332-1344
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• 2004

Upon development of information super-highway and multimedia-related technoiogies in recent years, more efficient technologies to transmit, store and retrieve the multimedia data are required. Among such technologies, firstly, it is common that the semantic-based image retrieval is annotated separately in order to give certain meanings to the image data and the low-level property information that include information about color, texture, and shape Despite the fact that the semantic-based information retrieval has been made by utilizing such vocabulary dictionary as the key words that given, however it brings about a problem that has not yet freed from the limit of the existing keyword-based text information retrieval. The second problem is that it reveals a decreased retrieval performance in the content-based image retrieval system, and is difficult to separate the object from the image that has complex background, and also is difficult to extract an area due to excessive division of those regions. Further, it is difficult to separate the objects from the image that possesses multiple objects in complex scene. To solve the problems, in this paper, I established a content-based retrieval system that can be processed in 5 different steps. The most critical process of those 5 steps is that among RGB images, the one that has the largest and the smallest background are to be extracted. Particularly. I propose the method that extracts the subject as well as the background by using an Image, which has the largest background. Also, to solve the second problem, I propose the method in which multiple objects are separated using RGB channel selection techniques having optimized the excessive division of area by utilizing Watermerge's threshold value with the object separation using the method of RGB channels separation. The tests proved that the methods proposed by me were superior to the existing methods in terms of retrieval performances insomuch as to replace those methods that developed for the purpose of retrieving those complex objects that used to be difficult to retrieve up until now.