• Journal of environmental and Sanitary engineering
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• v.4 no.2 s.7
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• pp.47-59
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• 1989

In order to investigate the bacteriological contamination of water in Han river, the survey was carried out in eight reservoirs of Seoul water supply during the period from January to December in 1985. 1. The counts by means of total bacteria in eight reservoirs by standard plate count method were as follows: $7.7\times10^2$ per ml in Paldang reservior, $9.6\times10^3$ per ml in Gueiri, $8.4\times10^4$ per ml in Doogdo, $1.6\times10^6$ per ml in Bogwang, $2.5\times10^6$ per ml in Noryangjin, $2.2\times10^6$per ml in Seon yoo, $5.9\times10^6$ per ml in Yungdeungpo and $1.9\times10^7$per ml in Gayang. 2. The average counts of total coliform in eight reservoirs by MPN method were as follows : $2.4\times10$ per 100 ml in Paldang, $5.6\times10^2$ per 100 ml in Gueiri, $2.3\times10^3$ per 100 ml in Doogdo, $5.1\times10^4$ per 100 ml in Noryang-jin, $1.2\times10^5$ per 100 ml in Bogwang, $6.2\times10^4$ per 100 ml in Seonyoo, $1.1\times10^5$ per 100 ml in Yungdeungpo and $2.8\times10^5$ per 100 ml Gayang. 3. The counts by means of fecal coliform in eight reservoirs by MPN method were as follows : non detection per 100 ml in Paldang, 5.2 per 100 ml in Gueiri, $1.2\times10^2$ per 100 ml in Doogdo, $1.6\times10^3$ per 100ml in Bogwang, $2.0\times10^3$per 100ml in Noryangjin, $6.6\times10^2$ per 100ml in Seonyoo, $1.2\times10^3$ per 100 ml in Yungdeungpo and $2.5\times10^3$per 100 ml in Gayang. 4. The counts by means of fecal streptococci in eight reservoirs by MPN method were as follows: non detection per 100 ml in Paldang and Gueiri, $6.9\times10$ per 100 ml in Doogdo, $3.2\times10^2$ 102 per 100 ml in Bogwang, $2.9\times10^2$ per 100 ml in Noryangjin, $3.0\times10^2$ per 100 ml in Seonyoo, $4.0\times10^2$ per 100 ml in Yungdeungpo and $14\times10^3$ per 100 ml in Gayang. 5. The counts means of pseudomonas aeruginosa in eight reservoirs by MPN method were as follows; non detection per 100 ml in Paldang, 2.4 per 100 ml in Gueiri, $1.5\times10$ per 100 ml in Doogdo, $2.0\times10$ per 100ml in Bogwang,$6.2\times10$ per 100mI in Noryangjin, $2.1\times10$ per 100ml in Seonyoo, $6.4\times10$ per 100mI in Yungdeungpo and $7.1\times10$ per 100ml in Gaynag.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.05a
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• pp.112-115
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• 2009

Inter-Prediction is always the main bottleneck in H.264/AVC Baseline Profile. This paper describes an efficient Inter-Prediction hardware architecture design. H.264/AVC decoder supports various block types such as $16{\times}16$, $16{\times}8$, $8{\times}16$, $8{\times}8$, $8{\times}4$, $4{\times}8$, $4{\times}4$ block types. Reference Software(JM) only considers the $4{\times}4$ block type when the reference block is being fetched. This causes duplicated pixels which needs extra fetch cycles. In order to eliminate some of the duplicated pixels, the $8{\times}8$ and $4{\times}4$ block types were considered in the previous design. If the block size is larger than or equal to the $8{\times}8$ block type, it will be separated into several $8{\times}8$ block types and if the block size is smaller than the $8{\times}8$ block type it will be separated into several $4{\times}4$ blocks. For further reduction of the fetch cycles, the various block types are considered in this paper. As a result, the maximum cycle reduction percentage is 18.6% comparing with the previous design.

• Korean Journal of Agricultural Science
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• v.7 no.2
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• pp.103-108
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• 1980

In order to elucidate the source of bacterial contamination during processing U. H. T. milk and to ensure its hygienic control, bacterial numbers were determined each step of the processes on the milks, water, tanks and pipe lines, and environments. The results obtained were as follows. 1. The viable numbers of mesophilic bacteria were $1.2{\sim}1.9{\times}10^7/ml$ of milk in the storage tank and in pipe line connected to the preheater. These were decreased to $7.0{\times}10cells{\sim}3.4{\times}10^2cells/ml$ after preheating and homogenization, and to $1.0{\times}10cells/ml$ after sterilization, then increased up to $1.2{\times}10^2cells/ml$ after packing. 2. The numbers of thermophilic bacteria were $5.0{\times}10cells{\sim}1.0{\times}10^2cells/ml$ of milk before preheating ; $3.0{\sim}5.0{\times}10cells/ml$ after homogenization ; none in the sterilizer and surge tank ; and $1.0{\sim}8.0{\times}10cells/ml$ after packing. 3. The levels of psychrophilic bacteria were $1.0{\sim}3.7{\times}10^6cells/ml$ of milk before preheating ; $1.0{\sim}4.0{\times}10cells/ml$ after homogenization ; $1.0{\times}10cells/ml$ after sterilization ; and $2.0{\times}10cells{\sim}2.5{\times}10^2cells/ml$ after packing. 4. No coliform bacteria were detected after sterilization, while the level before preheating was $2.1{\times}10^4cells{\sim}6.5{\times}10^5cells/ml$ of milk. 5. The level of mesophiles was $3.0{\times}10cells{\sim}7.4{\times}10^2cells$ in the environmental air, water supply, and unfilled packs and bottles ; that of thermophiles $1.0{\sim}3.0{\times}10cells$ in the air and water ; that of psychrophiles $1.0{\times}10cells{\sim}1.0{\times}10^2cells$ in the air, water, packs and bottles ; however no coliform was detected.

• The Journal of the Korean life insurance medical association
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• v.4 no.1
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• pp.44-76
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• 1987

Present study was undertaken to establish the modified Broca's indices to estimate standard body weight by using a total of 5,496 insured persons who were medically examined at the Honam Medical Room of Dong Bang Life Insurance Company Ltd. from January, 1983 to January, 1986. The results were as follows: 1. The linear regression equations of body weight to $height^3$ to estimate standard body weight were as follows: In male, for $18{\sim}19$ age group $y=7.272{\times}10^{-6}{\times}x^3+23.560$ for $20{\sim}29$ age group $y=8.187{\times}10^{-6}{\times}x^3+22.031$ for $30{\sim}39$ age group $y=8.627{\times}10^{-6}{\times}x^3+23.169$ for $40{\sim}49$ age group $y=9.561{\times}10^{-6}{\times}x^3+20.994$ for $50{\sim}59$ age group $y=8.604{\times}10^{-6}{\times}x^3+23.081$ and for all ages group $y=7.778{\times}10^{-6}{\times}x^3+25.929$ In female, for $18{\sim}19$ age group $y=8.252{\times}10^{-6}{\times}x^3+18.920$ for $20{\sim}29$ age group $y=7.715{\times}10^{-6}{\times}x^3+22.409$ for $30{\sim}39$ age group $y=8.808{\times}10^{-6}{\times}x^3+21.440$ for $40{\sim}49$ age group $y=9.691{\times}10^{-6}{\times}x^3+21.940$ for $50{\sim}59$ age group $y=12.550{\times}10^{-6}{\times}x^3+11.031$ and for all ages group $y=7.300{\times}10^{-6}{\times}x^3+26.601$ In both sexes, for all ages group $y=8.342{\times}10^{-6}{\times}x^3+22.998$ 2. The modified Broca's index is expressed by formula $\{height(cm)-100\}{\times}K(kg)$. K is obtained from the following formula standard weight to average height estimated $\frac{by\;means\;of\;linear\;regression\;equation(kg)}{\{Average\;height(cm)-100\}{\times}K(kg)}$=1 Author's modified Broca's indices are as follows: In male, for $18{\sim}19$ age group $\{height(cm)-100\}{\times}0.85(kg)$ for $20{\sim}29$ age group $\{height(cm)-100\}{\times}0.90(kg)$ for $30{\sim}39$ age group $\{height(cm)-100\}{\times}0.95(kg)$ for $40{\sim}49$ age group $\{height(cm)-100\}{\times}1.00(kg)$ for $50{\sim}59$ age group $\{height(cm)-100\}{\times}0.95(kg)$ and for all ages group $\{height(cm)-100\}{\times}0.95(kg)$ In female, for $18{\sim}19$ age group $\{height(cm)-100\}{\times}0.90(kg)$ for $20{\sim}29$ age group $\{height(cm)-100\}{\times}0.90(kg)$ for $30{\sim}39$ age group $\{height(cm)-100\}{\times}1.00(kg)$ for $40{\sim}49$ age group $\{height(cm)-100\}{\times}1.05(kg)$ for $50{\sim}59$ age group $\{height(cm)-100\}{\times}1.05(kg)$ and for all ages group $\{height(cm)-100\}{\times}1.00(kg)$ In both sexes, for all age group $\{height(cm)-100\}{\times}0.95(kg)$ 3. Several types of modified Broca's index recommended by author are as follows: I. In male, for $18{\sim}29$ age group $\{height(cm)-100\}{\times}0.90(kg)$ and for $30{\sim}59$ age group $\{height(cm)-100\}{\times}0.95(kg)$ In female, for $18{\sim}29$ age group $\{height(cm)-100\}{\times}0.90(kg)$ and for $30{\sim}39$ age group $\{height(cm)-100\}{\times}1.00(kg)$ II. In male, for all ages group $\{height(cm)-100\}{\times}0.95(kg)$ In female, for all ages group $\{height(cm)-100\}{\times}1.00(kg)$ III. In both sexes, for all ages group $\{height(cm)-100\}{\times}0.95(kg)$ Note: The first type of modified Broca's index is the most precise one in estimating standard body weight among several types established by author. 4. Error of estimated standard body weight appearing by applying modified Broca's indices is generally greater in short build persons than in tall build persons and is more dominant especially in female group.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.7 no.3
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• pp.169-178
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• 1974

Concentrations of mercury, cadmium, lead and copper are determined in the surrounding seawater and in seaweeds, Undarta pinnatifida and Sargassun fulvellum, from Suyeong Bay in Busan in the spring tide and neap tide from January to April 1974. The range and mean of the heavy metal concentrations in the surrounding seawater are as follows : mercury 0.00-0.39 ppb, 0. 16ppb; cadmium 0.00-0.46 ppb, 0.18 ppb, lead 0.00-0.94 ppb, 0.26 ppb : copper 0.00-0.86 ppb, 0.25 ppb respectively, and the concentrations varied slightly according to the tide. The mean values of concentration rate of Hg, Cd, Pb and Cu in air dry base were $0.42\times10^3(0.13\times10^3\~1.0\times10^3)$, $2.1\times10^3(0.8\times10^3\~4.9\times10^3)$, $8.9\times10^3(3.1\times10^3\~19\times10^3)$ and $15\times10^3(6.0\times10^3\~28\times10^3)$ in the Undaria pinnatifida, and $0.25\times10^3($0.06\times10^3\~0.56\times10^3)$, $1.0\times10^3(0.61\times10^3\~1.7\times10^3)$, $5.4\times10^3(3.1\times10^3\~8.5\times10^3)$ and $22.8\times10^3(14.4\times10^3\~52.4\times10^3)$ in the Sargassun fulvellum. The concentration rate of Hg, Cd and Pb of the Undaria pinnatifida was almost twice as much as that of the Sargassun fulvellum but the concentration rate of copper of the former was slightly smaller than of the latter.

• Journal of IKEEE
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• v.19 no.3
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• pp.378-384
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• 2015

In conventional HEVC inverse core transform architectures, extra $n{\times}n$ inverse transform block is added to $2n{\times}2n$ inverse transform block, and it operates as one $2n{\times}2n$ inverse transform block or two $n{\times}n$ inverse transform blocks. Thus, same number of pixels are processed in the same time, but it suffers from increased hardware size due to extra $n{\times}n$ inverse transform block. To avoid this problem, a novel $8{\times}8$ HEVC inverse core transform architecture was proposed to eliminate extra $4{\times}4$ inverse transform block based on multiplier reuse. This paper extends this approach and proposes a novel HEVC $16{\times}16$ inverse core transform architecture. Its frame processing time is same in $4{\times}4$, $8{\times}8$, and $16{\times}16$ inverse core transforms, and reduces gate counts by 13%.

• The Korean Journal of Applied Statistics
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• v.26 no.4
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• pp.675-686
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• 2013

The Korea Food and Drug Administration(KFDA) recommends the use of a $2{\times}2$ crossover design to assess the bioequivalence of generic drugs. However, a standard $2{\times}2$ crossover design for bioequivalence trials is often considered problematic due to ethical and economic issues as highly variable drugs are usually required by large numbers of subjects when designing the trial. To overcome this problem a $2{\times}4$ crossover design has been a recommended option as per US regulations; in addition, a $2{\times}3$ crossover design has also recently drawn special attention as an efficient alternative. The current KFDA regulation requires an ANOVA table for every bioequivalence study; however, ANOVA tables of $2{\times}4$ and $2{\times}3$ crossover designs have never been published in the literature. This study shows the derivation of tables of analysis of variance for a $2{\times}4$ cross-over design and a $2{\times}3$ cross-over design. We also suggest a sample size formulas for $2{\times}2$, $2{\times}4$ and $2{\times}3$ crossover designs to provide information on the selection of efficient designs for highly variable drugs.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2018.11a
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• pp.15-17
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• 2018

VVC(Versatile Video Coding)는 입력된 영상을 CTU(Coding Tree Unit) 단위로 분할하여 코딩하며, 이를 다시 QTBTT(Quadtree plus binary tree and triple tree)로 분할하고, TU(Transform Unit)도 이와 같은 단위로 분할된다. 따라서 TU의 크기는 $4{\times}4$, $4{\times}8$, $4{\times}16$, $4{\times}32$, $8{\times}4$, $16{\times}4$, $32{\times}4$, $8{\times}8$, $8{\times}16$, $8{\times}32$, $16{\times}8$, $32{\times}8$, $16{\times}16$, $16{\times}32$, $32{\times}16$, $32{\times}32$, $64{\times}64$의 17가지 종류가 있다. 기존의 VVC 참조 Software인 VTM에서는 디블록킹필터와 SAO(Sample Adaptive Offset)로 이루어진 인루프필터를 이용하여 에러를 복원하는데, 본 논문은 TU 크기에 따라서 원본블록과 복원블록의 차이(에러)가 통계적으로 다름을 이용하여 서로 다른 CNN(Convolution Neural Network)을 구축하고 에러를 복원하는 방법으로 VTM의 인루프 필터를 대체한다. 복원영상의 에러를 감소시키기 위하여 TU 블록크기에 따라 DenseNet의 Dense Block기반 CNN을 구성하고, Hyper Parameter와 복잡도의 감소를 위해 네트워크 간에 일부 가중치를 공유하는 모양의 Network를 구성하였다.

• Journal of the Chungcheong Mathematical Society
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• v.24 no.3
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• pp.609-616
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• 2011

Observing that $vX{\times}vY$ is a Wallman realcompactification of $X{\times}Y$ if $v(X{\times}vY)=vX{\times}vY$, we show that $v(X{\times}Y)=vX{\times}vY$ if and only if $X{\times}Y$ is z-embedded in $vX{\times}vY$ and $vX{\times}vY$ is a Wallman compactification of $X{\times}Y$.

• Journal of Korean Institute of Industrial Engineers
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• v.38 no.2
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• pp.80-88
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• 2012

This paper focuses on small touch key size and spacing that affect the usability of the smart phones. The experiments examined thirty-six different touch key designs, combinations of four touch key sizes (width (mm) ${\times}$height (mm); $4{\times}4$, $4{\times}7$, $7{\times}4$, and $7{\times}7$), and nine spacings (horizontal (mm)${\times}$vertical (mm); $0{\times}0$, $0{\times}1$, $0{\times}3$, $1{\times}0$, $1{\times}1$, $1{\times}3$, $3{\times}0$, $3{\times}1$, and $3{\times}3$). Forty participants volunteered in the experiment. The completion time, error rate, identification discomfort, and control discomfort were measured. The results revealed that the touch key sizes of $7{\times}7$ and $7{\times}4$ provide the best performance in terms of the error rate measure, while the touch key size of $7{\times}7$ provides the best results for other measures. In addition, touch key spacings of $1{\times}1$, $1{\times}3$ and $3{\times}1$ are regarded as the best for all the measures. The results of this study suggest a practical approach for the small touch key design for the smart phones.