• KOREAN JOURNAL OF CROP SCIENCE
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• v.42 no.6
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• pp.783-789
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• 1997

This study was conducted to identify leakage of fluorescent substances out of 56 crops and to develop sorting methods of nonviable seeds of Chinese cabbage. Fluorescent substances were detected from 36 species, Chinese cabbage, radish, broccoli, cauliflower, egg plant and rape seed etc. In Chinese cabbage, the germination rate of non-sorted seeds decreased rapidly with ageing of seeds at 45$^{\circ}C$ and 100％. After Chinese cabbage seeds soaked for 4hrs and coated with cellulose, the sorting ratio of non fluorescent seeds were decreased 91.3％ to 1.7％ by increasing ageing periods from control to 8 days, while fluorescent seeds were increased drastically from 8.7％ to 98.3％. Also, incubation of water soaked dead seeds of Chinese cabbage treated with 0.5-1.0％ ninhydrin and 0.01N sodium thiosulfate for 30~60 minutes at 35$^{\circ}C$ developed purple color.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.334-334
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• 2017

Representative particle sizes(RPS) are commonly used for particle size distribution of heterogeneous sediment such as bed material. RPS can provide not only information of mean characteristics of sediment, but also other properties like sorting, skewness, kurtosis. For sediment including sand and clay material, RPS is estimated through two steps. The first is experimental step for calculating weight of each size class, the next is interpolation step to get RPS by using the graph plot. At the second step, graph method known as direct reading of value along the interpolation line in the graph plot is commonly used. This method is often time-consuming job. In this study we developed a new program to get RPS by using MS Excel. Simple linear and semi-log interpolation are used. When compared with conventional graph method(direct reading), simple linear shows 5.31%, while semi-log 1.29% of relative difference. We developed MS Excel program for estimation of RPS automatically.

• International Journal of Computer Science & Network Security
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• v.21 no.12
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• pp.248-256
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• 2021

Now that we're in the big data era, data has taken on a new significance as the storage capacity has exploded from trillion bytes to petabytes at breakneck pace. As the use of cloud computing expands and becomes more commonly accepted, several businesses and institutions are opting to store their requests and data there. Cloud storage's concept of a nearly infinite storage resource pool makes data storage and access scalable and readily available. The majority of them, on the other hand, favour a single cloud because of the simplicity and inexpensive storage costs it offers in the near run. Cloud-based data storage, on the other hand, has concerns such as vendor lock-in, privacy leakage and unavailability. With geographically dispersed cloud storage providers, multicloud storage can alleviate these dangers. One of the key challenges in this storage system is to arrange user data in a cost-effective and high-availability manner. A multicloud storage architecture is given in this study. Next, a multi-objective optimization problem is defined to minimise total costs and maximise data availability at the same time, which can be solved using a technique based on the non-dominated sorting genetic algorithm II (NSGA-II) and obtain a set of non-dominated solutions known as the Pareto-optimal set.. When consumers can't pick from the Pareto-optimal set directly, a method based on Principal Component Analysis (PCA) is presented to find the best answer. To sum it all up, thorough tests based on a variety of real-world cloud storage scenarios have proven that the proposed method performs as expected.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2005.09a
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• pp.256-259
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• 2005

Among non-synonymous SNPs that cause amino acid change in the protein product, the selection of disease-causing SNPs has been of great interest. We present the comparison between the evolutionary (SIFT score) and structural information (binding pocket) to show that the incorporation between them provides an advantage of sorting disease-causing SNPs from normal SNPs. To set up the procedure, we apply the machine learning method to the test data set from the laboratory experiments.

• 한국정보통신설비학회:학술대회논문집
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• 2009.08a
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• pp.253-257
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• 2009

정보가 가역적으로 숨기어 졌다는 말은, 숨기고자 하는 정보가 삽입된 컨텐츠에서 비밀 정보를 찾아내고 또한 원본 컨텐츠를 완벽하게 복구할 수 있다는 말이다. 여러 가지 컨텐츠에 정보를 숨길 수 있으나 그 중에서 특히 이미지에 정보를 숨기고자 할 때는 두 가지 목표가 있다. 첫째는, 숨기고자 하는 데이터의 용량을 극대화 시키는 것이고 둘째는, 정보를 숨긴 다음에 생긴 이미지와 원본 이미지와의 차이를 줄이는 것이다. 본 논문은 데이터를 삽입시키는 차분값으로서 예측 오류 값을 이용하여 정보를 숨기는 개선된 방법을 제안하려고 한다.

• 제어로봇시스템학회:학술대회논문집
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• 1988.10a
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• pp.360-363
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• 1988

This paper presents a development of flexible bowl feeder without mechanical tooling for each specific part to be fed. This flexible bowl feeder is capable of recognising different orientations of components using optical fiber sensors and can be adjusted to feed different components by way of a simple programming method. The system would be suitable for feeding and sorting small components prior to auto,ated small batch assembly.

• Proceedings of the IEEK Conference
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• 2000.11c
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• pp.47-50
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• 2000

Recently many efforts on the development of automatic processing system for delivery sequence sorting have been performed in ETRI , which requires the use of postal 4-state bar code system to encode delivery points. The 4-state bar code called postal 4-state bar code for high speed processing that has been specifically designed for information processing of logistics and automatic processing of the mail items. This paper describes a method of Reed-Solomon encoding for creating error correction codeword of 4-state bar code.

• Journal of the Korea Society for Simulation
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• v.12 no.3
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• pp.13-20
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• 2003

Semiconductor Manufacturing has emerged as one of the most important world industries. Even with the highly automated and precisely monitored facilities used to process the complex manufacturing steps in a near particle free environment, processing variations in wafer fabrication still exist. The causes of these variations may arise from equipment malfunctions, delicate and difficult processing steps, or human mistakes. In this paper, we could specify the cause stage and the cause equipment and take countermeasures at a speed by the conventional method, without depending on the experience and skills of the engineer

• Journal of the Korean Society for Precision Engineering
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• v.25 no.3
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• pp.147-156
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• 2008

A new approach based on cone prism intersection method combined with sorting algorithm is proposed for the fast and robust signed distance field computation. In the method, the space bounding the geometric model composed of triangular net is divided into multiple smaller cells. For the efficient calculation of distance fields, valid points among the triangular net which will generate minimum distances with current cell are selected by checking the intersection between current cell and cone prism generated at each point. The method is simple to implement and able to achieve an order of magnitude improvement in the computation time as compared to earlier approaches. Further the method is robust in handling the traditional sign problems. The validity of the suggested method was demonstrated by providing numerous examples including Boolean operation, shape deformation and morphing of complex geometric models.

• Asian-Australasian Journal of Animal Sciences
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• v.22 no.8
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• pp.1107-1112
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• 2009

The separation of X and Y chromosome-bearing sperm is of use in many aspects of livestock maintenance. In this study, we sought to determine the difference in DNA content between X- and Y-bearing sperm, separate sperm into X- and Y-enriched pools, and assess the efficacy of sorting. Sperm collected from Duroc and miniature pigs were stained with 20.8 $\mu{M}$ Hoechst 33342 and analyzed using a high-speed cell sorter. Measurement of the fluorescence intensity of stained sperm nuclei revealed that the X-bearing sperm of Duroc and miniature pigs respectively contain 2.75% and 2.88% more DNA than Y-bearing sperm. In total, 50.18% of the sperm were assigned to the X-sorted sample and 49.82% was assigned to the Y-sorted sample for Duroc pigs. For miniature pigs, the Xsorted sample represented 50.19% of the population and the Y-sorted represented 49.81% of the population. Duplex PCR was used to evaluate accuracy of sorting. A fast and reliable method for porcine sexing was developed through amplification of the sex-determining region of the Y chromosome gene (SRY). Oligonucleotide primers were designed to amplify the conserved porcine SRY high motility group (HMG) box sequence motif. We found that the primer pair designed in this study was 1.46 times more specific than previously reported primers. Thus, this study shows that the present method can be applied in porcine breeding programs to facilitate manipulation of the sex ratio of offspring and to achieve precise sexing of porcine offspring by amplification of the HMG box of the SRY gene.