• Proceedings of the KIEE Conference
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• 1998.07g
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• pp.2249-2251
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• 1998

This paper presents a lip print recognition by the pattern kernels for a personal identification. A lip print recognition is developed less than the other physical attribute that is a fingerprint, a voice pattern, a retinal blood-vessel pattern, or a facial recognition. A new method by the pattern kernels is pro for a lip print recognition. The pattern kerne function consisted of some local lip print p masks. This function identifies the lip print known person or an unknown person. The results show that the proposed algorithm the pattern kernels can the efficiently realized.

• 제어로봇시스템학회:학술대회논문집
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• 1998.10a
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• pp.64-69
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• 1998

This paper presents a lip print recognition by the pattern kernels for a personal identification. A lip print recognition is developed less than the other physical attributes of a fingerprint, a voice pattern, a retinal blood/vessel pattern, or a facial recognition. A new method is proposed to recognize a lip print bi the pattern kernels. The pattern kernels are a function consisted of some local lip print pattern masks. This function converts the information on a lip print into the digital data. The recognition in the multi-resolution system is more reliable than recognition in the single-resolution system. The results show that the proposed algorithm by the multi-resolution architecture can be efficiently realized.

• Journal of Biosystems Engineering
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• v.22 no.3
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• pp.295-302
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• 1997

An ultimate purpose of this study was to develop an automatic system for brown rice quality inspection using image processing technique. In this study emphasis was put on developing an algorithm for discriminating the brown rice kernels depending on their external quality with a color image processing system equipped with an adaptor magnifying the input image and optical fiber for oblique lightening. Primarily, geometical and optical features of images were analyzed with paddy and the various brown rice kernel samples such as a sound, cracked, peen-transparent, green-opaque, colored, white-opaque and brokens. Secondary, geometrical and optical parameters significant for identifying each rice kernels were screened by a statistical analysis(STEPWISE and DISCRIM procedure, SAS wer. 6) and an algorithm fur on- line discrimination of the rice kernels in static state were developed, and finally its performance was evaluated. The results are summarized as follows. 1) It was ascertained that the cracked kernels can be detected when e incident angle of the oblique light is less than 2$0^{\circ}C$ but detectivity was significantly affected by the angle between the direction of the oblique light and the longitudinal axis of the rice kernel and also by the location of the embryo with respect to the oblique light. 2) The most significant Parameters which can discriminate brown rice kernels are area, length and R, B and r values among the several geometrical and optical parameters. 3) Discrimination accuracies of the algorithm were ranged from 90% to 96% for a sound, cracked, colored, broken and unhulled, about 81 % for green-transparent and white-opaque and 75 % for green-opaque, respectively.

• Journal of Food Hygiene and Safety
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• v.31 no.5
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• pp.335-341
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• 2016

This study was performed to provide basic data of Saekso 2 corn kernels. Proximate composition, free sugars, fatty acids and anthocyanin content of Saekso 2 corn kernels were analyzed. Proximate composition of dried Saekso 2 corn kernels were represented 8.84% moisture, 1.44% crude ash, 5.46% crude lipid, 10.31% crude protein. Free sugars composition by HPLC/ELSD showed that sucrose (1.00%), glucose (0.63%), maltose (0.52%), fructose (0.44%) were present. The composition of fatty acids in Saekso 2 corn kernels was analyzed by GC/FID. 11 species of fatty acids were analyzed in Saekso 2 corn kernels. The ratio of saturated fatty acids and unsaturated fatty acids 16.09 : 83.91. Content of linoleic acid was the highest in fatty acids. The total anthocyanin content in Saekso 2 corn kernels was 0.24% by UV/Vis. Anthocyanin components separated and quantified using HPLC/MS/MS. Cyanidin 3-O-glucoside chloride (C-3-G), pelargonidin 3-O-glucoside chloride (Pg-3-G) and peonidin 3-O-glucoside chloride (Pn-3-G) of anthocyanin were analyzed in Saekso 2 corn kernels.

• Research in Plant Disease
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• v.23 no.3
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• pp.278-282
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• 2017

Maize is one of the most cultivated cereals as a staple food in the world. The harvested maize is mainly stored after drying, but its quality and nutrition could be debased by fungal spoilage and mycotoxin contamination. In this study, we surveyed mycotoxin contamination fungal infection of maize kernels that were stored for almost one year after harvest in 2015. The amount of deoxynivalenol and zearalenone detected were higher than the other mycotoxin, such as aflatoxin, ochratoxin, fumonisin and T-2 toxin. In particular, level of deoxynivalenol was detected as $1200{\pm}610{\mu}g/kg$ in small size kernels, which was four to six times higher than the large and the medium size kernels. Moreover, the amount of deoxynivalenol, zearalenone, and fumonisin were increased with discolored kernels. 10 species including Fusarium spp., Aspergillus spp. and Penicillium spp. were isolated from the maize kernels. F. graminearum was predominant in the discolored kernels with detection rates of 60% (red) and 40% (brown). Our study shows that the mycotoxin contents of stored maize can be increased by discolored maize kernels mixed. Therefore elimination of the contaminated maize kernels will help prevent fungal infection and mycotoxin contamination in stored maize.

• Applied Biological Chemistry
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• v.36 no.6
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• pp.449-455
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• 1993

Some chemical properties were investigated for barley kernels at different growth stages. Crude fat, crude protein, starch, alcohol-insoluble solids(AIS), and ${\beta}-glucan$ increased until $31{\sim}36\;days$ from ear emergence and thereafter remained relatively constant, whereas ash and crude fiber contents were gradually decreased through the whole period of maturation. As barley kernels became mature, their water contents kept decreasing, and the content of milky stage barley kernel at $31{\sim}36th\;days$ from ear emergence ranged from $40{\sim}50%$. Free sugars including glucose, fructose, sucrose, raffinose, maltose, and kestose were identified in the growing kernels. Glucose, sucrose and kestose decreased with maturation while raffinose slightly increased. Barley kernels on the 43rd day from ear emergence contained 0.62% sucrose, 0.46% raffinose, 0.33% kestose, 0.19% glucose, 0.17% fructose, 0.04% maltose. Analysis of minerals for barley kernels at different growth stages showed that the growing kernels contained K, P, Mg, Ca, Na, Fe, Zn, Mn, Cu in decreasing order. Vitamin $B_1$ content tended to increase with kernel growth, showing maximum value of $350\;{\mu}g\;per\;100\;g$ dry weight on 36th day from ear emergence.

• Progress in Medical Physics
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• v.18 no.2
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• pp.55-64
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• 2007

Our objective was to evaluate the clinical feasibility of spatial domain filtering as an alternative to additional image reconstruction using different kernels in CT. Kernels were grouped as H30 (head medium smooth), B30 (body medium smooth), S80 (special) and U95 (ultra sharp). Derived from thin coilimated source images, four sets of images were generated using phantom kernels. MTF (50%, 10%, 2%) measured with H30 (3.25, 5.68, 7.45 Ip/cm) B30 (3.84, 6.25, 7.72 Ip/cm), S80 (4.69, 9.49, 12.34 Ip/cm), and U95 (14.19, 20.31, 24.67 Ip/cm). Spatial resolution for the U95 kernel (0.6 mm) was 33.3% greater than that of the H30 and B30 (0.8 mm) kernels. Initially scanned kernels images were rated for subjective image qualify, using a five-point scale. Image scanned with a convolution kernel led to an increase in noise (U95), whereas the results for CT attenuation coefficient were comparable. CT images increase the diagnostic accuracy in head (H30), abdomen (B30), temporal bone and lung (U95) kernels may be controlled by adjusting CT various algorithms, which should be adjusted to take into account the kernels of the CT undergoing the examination.

• Journal of the Korean Mathematical Society
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• v.48 no.4
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• pp.703-725
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• 2011

In this paper, we establish the vector-valued inequalities for the commutators of singular integrals with rough kernels. In particular, our results can essentially improve some well-known results.

• 제어로봇시스템학회:학술대회논문집
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• 1994.10a
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• pp.527-530
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• 1994

A method for obtaining Volterra kernels of a nonlinear system by use of pseudorandom M-sequences and correlation technique, proposed by the authors in 1993, is further analysed and some applications for identifying nonlinear system having feedback loop are shown.

• 제어로봇시스템학회:학술대회논문집
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• 1987.10b
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• pp.145-149
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• 1987

The input-output relation for nonlinear systems can be explicitly represented by the Voltera functional series and it is characterized by the Volterra Kernels. A block diagram reduction method is introduced to determine the Volterra Kernels for the nonlinear systems represented by nonlinear differential equations. Degree of nonlinearity is defined and analyzed for the analysis of nonlinear systems.