• KOREAN JOURNAL OF CROP SCIENCE
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• v.54 no.4
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• pp.357-365
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• 2009

On the purpose to improve the milling efficiency as well as head-rice percentage after milling, an experiment to improve the removal ability of immature kernels in the immature brown rice separator (IBRS) was performed focused on varietal characteristics. The removal ability of immature grains by the IBRS was absolutely depending on kernel thickness of brown rice. The kernel thickness of the tested rice varieties distributed from 1.79 mm in Nonganbyeo to 2.16 mm in Daeribbyeo 1. Although there were some variation among rice varieties, it was roughly suggested that the suitable sieve-slit widths for good separation of the immature kernels were 1.9 mm for the varieties thicker than 2.08 mm in thickness, 1.8 mm for the varieties with 2.00-2.08 mm thickness, 1.7 mm for the varieties with 1.90-2.00 mm thickness, and 1.60-1.65 mm for the varieties thinner than 1.7 mm. It was found out that the higher the proportions of immature kernels in brown rice, the more conspicuous the improvement of milling efficiency as well as head rice rates by their removals. With increasing the sieve slit-widths beyond an optimum range, the losses of mature grains increased sharply. For effective separation of immature kernels, it was suggested that the optimum sieve-slit width should be set up depending on both of the kernel thickness and the critical loss limit of mature kernel.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.12
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• pp.968-972
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• 2009

The multi-core processors are being widely exploited by many high-end systems. With significant advances in processor architecture, the network band-width required on the high-end systems is increasing drastically. It is therefore highly desirable to manage multiple cores efficiently to achieve high network band-width with minimum resource requirements. Modern operating systems, however, still have significant design and optimization space to leverage the network performance over multi-core systems. In this paper, we suggest a novel networking process scheduling scheme, which decides the best processor affinity of networking processes based on the processor cache layout, communication intensiveness, and processor loads. The experimental results show that the scheduling scheme implemented in the Linux kernel can improve the network bandwidth and the effectiveness of processor utilization by 20% and 59%, respectively.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.29 no.2
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• pp.109-113
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• 1984

This study was conducted to get basic information about yield capacity and major agronomic characteristics of rice varieties with large grain. The results obtained are as follows; Between grain weight and grain components such as length, width and thickness showed highly positive correlation. The relationship between grain length and grain shape (Length/Width) was clear (r=0.5707${\ast}\;{\ast}$). 1, 000 grain weight of 14 rice varieties with large grain was negatively correlated with number of spikelets per panicle, number of panicles per hill, ripening ratio, total dry matter, grain yield and harvest index, but less clear. The relationship between grain weight of 14 rice varieties with large grain and growth duration was less clear (r=0.440). 1, 000 grain weight of 20 rice varieties differing in grain size showed a highly positive correlation with chalkiness of rice kernel (r=0.8477${\ast}\;{\ast}$).

• KOREAN JOURNAL OF CROP SCIENCE
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• v.33 no.3
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• pp.281-286
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• 1988

These studies were conducted to find out the polishing methods that improve yield and quality of the polished barley. Four varieties of hulled barley, Dongbori 1. Bunong, Kangbori and Suwon 182 which were produced in Suwon, Korea in 1979, were subjected to this experiment. The polishing machine, manufactured by Satake Co, was used as test mill. Increasing the roller speed of polishing machine causes more polished barley in a unit period. The speed influenced more in length than thickness or width of grain. Therefore the shape of grain became bold type as the speed increased. The optimum roller speed was 1,300rpm in ideal shape of polished barley. The lowest hardness was observed in the husk layer and the hardness was found in the decreasing order of the aleurone, testa, peri carp and the endosperm layer. The thickness of bran layer, weight of 1,000 kernel and hardness of polished barley were greatly different according to barley varieties. Also the length, thickness, width and the ratio of length to width of barley grain were significantly different in barley varieties. The ratio of length to width of the polished barley was 1.59 in Suwon 182, 1.53 in Bunong, 1.51 in Kangbori and 1.26 in Dongbori 1.

• Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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• 2001.06a
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• pp.1531-1531
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• 2001

A novel technique has been developed to observe the three-dimensional (3-D) distribution of chemical components in biological materials using both automatic sectioning microtome and infrared microscope. The 3-D image was reconstructed based on the relationship between the content and the absorbancy of specified wavelength for chemical components. By using the automatic sectioning microtome, the kernel of rice sample fixed in paraffin was sequentially sliced with the thickness of $5\;\mutextrm{m}$ after pasting the sliced sectional specimens on an adhesive tape. The chemical components of the specimens, which are placed on the X-Y controlling stage with positioning accuracy of ${\pm}10\;\mutextrm{m}$, were analyzed by the infrared microscope. The 3-D images demonstrated that the zonal protein about $200\mutextrm{m}$ in width was observed mainly at the outer parts of a rice particle, and carbohydrates entirely. These images can be observed by choosing arbitrary observation angle. The result indicated that the developed technique could be applied 3-D information to investigate intrinsic chemical components but also residual pesticides as well as bacteria contamination for agricultural produce.

• Journal of the Korean Society of Costume
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• v.25
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• pp.105-118
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• 1995

Chinese shroud through literature are as follows. 1. Taetae, SimeI, P'oo, Hansam, Ko, Mal, Nukpaek , Kwatu, Ch'ungi, Pokkn, Myokmok, Ri, Aksu, Mo and m were used the most in China. 2. The cloths of Chinese shroud were p'o, Paek , Kyon and Kum. The colors of the Chinese shroud were Hyon, Hun and white. 3. The size of the Chinese shroud is as follows . The size of the Ch'ungi was similar to the size of jujube kernel, the length of Myokmok was one Chk two Chn or one Chk two Chn or one Chk five Chn, the length of Aksu was one Chjk two Chn and it's width was five Chn. The chil of Mo reached the hands and the length of Swae was three Chk and the length of m was five Chn. 4. In Chinese shroud, , cotton was put in P'oo. Aksu was tide by the strings at two corners. Myokmok was tied by the strings of four corners. The tip of the m was divided and Mo warpped the whole body. 5. The clothes of Soryom was nineteen Ch'ing. The clothes of Taeryom in Kum were one hundred Ch'ing in the Chinese. The impliment of Soryon were Kum, kyo, SangeI, SaneI, Ch'im , Yok and Kyon in the Chinese shroud. In the case of the implement of TAeryom, the chinese shroud had Kum , Kyo, SangeI, Sane, Ch'im and Yok.

• Journal of the Korean Society of Costume
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• v.25
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• pp.117-118
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• 1995

Chinese shroud through literatures are as follows. 1. Taetae, Sime i, P'oo, Hansam, Ko, Mal, Nukpaek, Kwatu, Cu'ungi, Pokk n, Myokmok, Ri, Aksu, Mo and m were used the most in China. 2. The cloths of Chinese shroud were p'o, Paek, Kyon and Kum. The colors of the Chinese shroud were Hyon, Hun and white. 3. The size of the Chinese shroud is as follows. The size of the Ch'ungi was similar to the size of jujube kernel, the length of Myokmok was one Ch' k two Ch'on or one Ch' k five Ch'on, the length of Aksu was one Ch' k two Ch'on and it's width was five Ch'on. The chil of Mo reached the hands and the length of Swae was three Ch' k and the length of m was five Ch'on. 4. In Chinese shroud, cotton was put in P'oo, Aksu was tide by the strings at two corners. Myokmok was tied by the strings of four corners. The tip of the m was divided and Mo wrapped the whole body. 5. The clothes of Soryom was nineteen Ch'ing. The clothes of Taeryom in Kun were one hundred Ch'ing in the Chinese. The impliment of Soryom were Kum, Kyo, Sange i, Sane i, Ch'im, Yok and Kyon in the Chinese shroud. In the case of the implement of Taeryom, the chinese shroud had Kum, Kyo, Sange i, Sane i, Ch'im and Yok.

• The Bulletin of The Korean Astronomical Society
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• v.38 no.1
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• pp.61.1-61.1
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• 2013

In this study we apply Support Vector Machine (SVM) to the prediction of geo-effective halo coronal mass ejections (CMEs). The SVM, which is one of machine learning algorithms, is used for the purpose of classification and regression analysis. We use halo and partial halo CMEs from January 1996 to April 2010 in the SOHO/LASCO CME Catalog for training and prediction. And we also use their associated X-ray flare classes to identify front-side halo CMEs (stronger than B1 class), and the Dst index to determine geo-effective halo CMEs (stronger than -50 nT). The combinations of the speed and the angular width of CMEs, and their associated X-ray classes are used for input features of the SVM. We make an attempt to find the best model by using cross-validation which is processed by changing kernel functions of the SVM and their parameters. As a result we obtain statistical parameters for the best model by using the speed of CME and its associated X-ray flare class as input features of the SVM: Accuracy=0.66, PODy=0.76, PODn=0.49, FAR=0.72, Bias=1.06, CSI=0.59, TSS=0.25. The performance of the statistical parameters by applying the SVM is much better than those from the simple classifications based on constant classifiers.

• International Journal of Computer Science & Network Security
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• v.22 no.7
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• pp.220-228
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• 2022

Image always carry useful information, detecting a text from scene images is imperative. The proposed work's purpose is to recognize scene text image, example boarding image kept on highways. Scene text detection on highways boarding's plays a vital role in road safety measures. At initial stage applying preprocessing techniques to the image is to sharpen and improve the features exist in the image. Likely, morphological operator were applied on images to remove the close gaps exists between objects. Here we proposed a two phase algorithm for extracting and recognizing text from scene images. In phase I text from scenery image is extracted by applying various image preprocessing techniques like blurring, erosion, tophat followed by applying thresholding, morphological gradient and by fixing kernel sizes, then canny edge detector is applied to detect the text contained in the scene images. In phase II text from scenery image recognized using MSER (Maximally Stable Extremal Region) and OCR; Proposed work aimed to detect the text contained in the scenery images from popular dataset repositories SVT, ICDAR 2003, MSRA-TD 500; these images were captured at various illumination and angles. Proposed algorithm produces higher accuracy in minimal execution time compared with state-of-the-art methodologies.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.46 no.3
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• pp.96-104
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• 2009

In this paper, we propose a no-reference objective Quality assessment metrics of image. The blockiness and blurring of edge areas which are sensitive to the human visual system are modeled as step functions. Blocking and blur metrics are obtained by estimating local visibility of blockiness and edge width, For the blocking metric, horizontal and vertical blocking lines are first determined by accumulating weighted differences of adjacent pixels and then the local visibility of blockiness at the intersection of blocking lines is obtained from the total difference of amplitudes of the 2-D step function which is modelled as a blocking region. The blurred input image is first re-blurred by a Gaussian blur kernel and an edge mask image is generated. In edge blocks, the local edge width is calculated from four directional projections (horizontal, vertical and two diagonal directions) using local extrema positions. In addition, the kurtosis and SSIM are used to compute the blur metric. The final no-reference objective metric is computed after those values are combined using an appropriate function. Experimental results show that the proposed objective metrics are highly correlated to the subjective data.