• Journal of Digital Convergence
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• v.19 no.11
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• pp.351-357
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• 2021

IoT devices, which are used in various ways in distributed environments, are becoming more important in data transmitted and received from IoT devices as fields of use such as medical, environment, transportation, bio, and public places are diversified. In this paper, as a method to ensure the reliability of IoT data, an autoencoder-based IoT-linked processing technique is proposed to classify and process numerous data by various important attributes. The proposed technique uses correlation indices for each IoT data so that IoT data is grouped and processed by blockchain by characteristics for IoT linkage processing based on autoencoder. The proposed technique expands and operates into a blockchain-based n-layer structure applied to the correlation index to ensure the reliability of IoT data. In addition, the proposed technique can not only select IoT data by applying weights to IoT collection data according to the correlation index of IoT data, but also reduce the cost of verifying the integrity of IoT data in real time. The proposed technique maintains the processing cost of IoT data so that IoT data can be expanded to an n-layer structure.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.8 no.2
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• pp.47-60
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• 1975

For the calculation of population parameter and estimation of recruitment of a fish population, an application of multiple regression method was used with some statistical inferences. Then, the differences between the calculated values and the true parameters were discussed. In addition, this method criticized by applying it to the statistical data of a population of bigeye tuna, Thunnus obesus of the Indian Ocean. The method was also applied to the available data of a population of Pacific saury, Cololabis saira, to estimate its recuitments. A stock at t year and t+1 year is, $N_{0,\;t+1}=N_{0,\;t}(1-m_t)-C_t+R_{t+1}$ where $N_0$ is the initial number of fish in a given year; C, number o: fish caught; R, number of recruitment; and M, rate of natural mortality. The foregoing equation is $$\phi_{t+1}=\frac{(1-\varrho^{-z}{t+1})Z_t}{(1-\varrho^{-z}t)Z_{t+1}}-\frac{1-\varrho^{-z}t+1}{Z_{t+1}}\phi_t-a'\frac{1-\varrho^{-z}t+1}{Z_{t+1}}C_t+a'\frac{1-\varrho^{-z}t+1}{Z_{t+1}}R_{t+1}......(1)$$ where $\phi$ is CPUE; a', CPUE $(\phi)$ to average stock $(\bar{N})$ in number; Z, total mortality coefficient; and M, natural mortality coefficient. In the equation (1) , the term $(1-\varrho^{-z}t+1)/Z_{t+1}$s almost constant to the variation of effort (X) there fore coefficients $\phi$ and $C_t$, can be calculated, when R is a constant, by applying the method of multiple regression, where $\phi_{t+1}$ is a dependent variable; $\phi_t$ and $C_t$ are independent variables. The values of Mand a' are calculated from the coefficients of $\phi_t$ and $C_t$; and total mortality coefficient (Z), where Z is a'X+M. By substituting M, a', $Z_t$, and $Z_{t+1}$ to the equation (1) recruitment $(R_{t+1})$ can be calculated. In this precess $\phi$ can be substituted by index of stock in number (N'). This operational procedures of the method of multiple regression can be applicable to the data which satisfy the above assumptions, even though the data were collected from any chosen year with similar recruitments, though it were not collected from the consecutive years. Under the condition of varying effort the data with such variation can be treated effectively by this method. The calculated values of M and a' include some deviation from the population parameters. Therefore, the estimated recruitment (R) is a relative value instead of all absolute one. This method of multiple regression is also applicable to the stock density and yield in weight instead of in number. For the data of the bigeye tuna of the Indian Ocean, the values of estimated recruitment (R) calculated from the parameter which is obtained by the present multiple regression method is proportional with an identical fluctuation pattern to the values of those derived from the parameters M and a', which were calculated by Suda (1970) for the same data. Estimated recruitments of Pacific saury of the eastern coast of Korea were calculated by the present multiple regression method. Not only spring recruitment $(1965\~1974)$ but also fall recruitment $(1964\~1973)$ was found to fluctuate in accordance with the fluctuations of stock densities (CPUE) of the same spring and fall, respectively.

• Journal of the Korean Mathematical Society
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• v.44 no.6
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• pp.1453-1467
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• 2007

By means of a Riccati transform some oscillation or nonoscillation criteria are established for nonlinear differential equations of second order $$(E_1)\;[p(t)|x#(t)|^{\alpha}sgn\;x#(t)]#+q(t)|x(\tau(t)|^{\alpha}sgn\;x(\tau(t))=0$$. $$(E_2),\;(E_3)\;and\;(E_4)\;where\;0<{\alpha}$$ and $${\tau}(t){\leq}t,\;{\tau}#(t)>0,\;{\tau}(t){\rightarrow}{\infty}\;as\;t{\rightarrow}{\infty}$$. In this paper we improve some previous results.

• Bulletin of the Korean Mathematical Society
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• v.35 no.4
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• pp.701-707
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• 1998

An operator $T{\in} {{\mathcal L}(H)}$ is generalized k-quasihyponormal if there exist a constant M>0 such that $T^{\ast k}[M^2(T-z)^{\ast}(T-z)-(T-z)(T-z)^{\ast}]T^k{\geq}0$ for some integer $k{\geq}0$ and all $Z{\in} {\mathbf C}$. In this paper, we show that it T is a generalized k-quasihyponormal operator with the property $0{\not\in}{\sigma}(T)$, then T is subscalar of order 2. As a corollary, we get that such a T has a nontrivial invariant subspace if its spectrum has interior in C.

• Bulletin of the Korean Mathematical Society
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• v.33 no.4
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• pp.631-638
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• 1996

The parabolic free boundary problem with Puschino dynamics is given by (see in [3]) $$ (1) { \upsilon_t = D\upsilon_{xx} - (c_1 + b)\upsilon + c_1 H(x - s(t)) for (x,t) \in \Omega^- \cup \Omega^+, { \upsilon_x(0,t) = 0 = \upsilon_x(1,t) for t > 0, { \upsilon(x,0) = \upsilon_0(x) for 0 \leq x \leq 1, { \tau\frac{dt}{ds} = C)\upsilon(s(t),t)) for t > 0, { s(0) = s_0, 0 < s_0 < 1, $$ where $\upsilon(x,t)$ and $\upsilon_x(x,t)$ are assumed continuous in $\Omega = (0,1) \times (0, \infty)$.

• Journal of Animal Science and Technology
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• v.47 no.6
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• pp.1041-1050
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• 2005

This study was conducted to investigate the quality characteristics of seasoned pork prepared by Korean traditional 4 types seasoning such as soy sauce (T1); Kimchi sauce (T2); pickled shrimps sauce (T3) and onion sauce (T4). The samples were seasoned by the proportion of meat to seasonings (1:1). The seasoned samples were aged at $1{\pm}1^{\circ}C$ for 30 days. The results obtained were as follows; pH of T3 was higher (p<0.05) than other treatments during aging periods. Saccharinity and salinity were higher in T1. Except T3, water holding capacity (WHC) have no significantly (p>0.05) different during the aging. Shear force and Volatile basic nitrogen (VBN) were increased in T1 and T4 with aging periods. TBARS have no significantly (p>0.05) different in all treatments at the 1 day of aging, however T1 was significantly higher (p<0.05) compared with other treatments after 10 days of aging. In surface meat color, a* and b* were higher in T2 and lower in T4 with aging periods. In inner meat color, L* was decreased in all treatments with aging periods, however T4 was no significantly (p>0.05) different during aging periods. a* and b* were increased with aging periods in all treatments. Total plate counts was increased at the 10 days of aging and decreased at the end of aging. Escherichia coli of T1, T2 and T3 were decreased with aging periods, however T4 was significantly (p<0.05) increased with aging periods. Lactobacilli spp. of T2 and T3 were higher than other treatments at the beginning of aging. In sensory evaluation, T4 was higher at the beginning of aging, however T1 and T3 were increased sensory evaluation value with aging periods.

• Journal of The Korean Society of Grassland and Forage Science
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• v.13 no.4
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• pp.286-293
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• 1993

This study was carried out to determine the effects of the fertilization levels and oversowing treatment on liveweight gain of glazing cattle, changs of botanical composition, and dry matter(DM) yield in tall fescue dominant mixed pasture during the grazing period. The treatments were T$_1$(low fertilizing; 120-100-100 kg/ha), T$_2$(medium fertilizing; 280-200-200 kg/ha) and T$_3$(medium fertilizing+oversowing). The botanical composition of tail festuce was increased in T$_1$ and that of tall fescue, orchardgrass and pernnial ryegrass in T$_3$ was 30.5%, 23.8% and 24.1%, respectively. The total forage DM yield was the highest in T$_3$, and the average stocking rate (animal unit; AU) per day during the grazing period in T$_1$, T$_2$ and T$_3$ was 2.4 AU. 3.0 Au and 3.3 AU, respectively. The total grazing days (animal unit day; AUD) in T$_3$(664 AUD) was higher than that of T$_1$, and T$_2$. There is no significant difference in average daily liveweight gain per head among the treatments but daily liveweight gain per ha in T$_3$ was higher than that of T$_1$, and T$_2$. The total liveweight gain per ha during the grazing period in T$_1$, T$_2$ and T$_3$ was 601kg. 762kg and 877kg, respectively. The herbage consumption per day per 100kg LW was similer among the treatments but crude protein, P, K and Ca contents in herbage were increased with medium fertilization levels(T$_2$) and with oversowing(T$_3$).

• Pediatric Infection and Vaccine
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• v.12 no.1
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• pp.52-60
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• 2005

Purpose : The aim of this study is to know seasonal distribution of group A streptococci obtained from one center using emm genotyping and T serotyping in Masan from 2003 through 2004. Methods : Among children who visited the Changwon Fatima Hospital at Masan, Korea from June 2003 through February 2004, 100 patients who had clinical findings of acute pharyngitis, scarlet fever, and cellulitis were confirmed as GAS by culture, and were enrolled in our study. All obtained GAS were sent to the WHO Collaborative Center for Reference and Research on Streptococci, University of Minnesota, Minneapolis for T serotyping and emm genotyping. We classified these results again according to seasonal and disease's entities. Results : 19 different T serotypes was typed. T4(27.5%), T1(17.6%), T6(13.7%), and T12(13.7%) serotypes were relatively common in summer, while T4(28.3%), T12(15.2%), and T12/B3264(8.7%) were common in winter. T4 and T12 were persistent all year around. Distribution of T serotypes in 89 patients with pharyngotonsillitis were T4(26.7%), T12(14.0%), T1(12.8%), and T6(11.6%) in order of frequency. 15 different emm genotypes was typed. The number of emm 1, emm 6, emm 9, and emm 44 genotypes decreased or disappeared in winter, and the number of emm 3, emm 12, and emm 89 genotypes increased or reappeared in winter. Conclusion : Because T serotyping and emm genotyping are useful tools for evaluating epidemiology and pathogenesis of group A streptococci, we should monitor these strains every year, and should serotype and genotype GAS obtained from the invasive streptococcal infections.

• Journal of Animal Environmental Science
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• v.16 no.2
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• pp.135-142
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• 2010

The composting of layer manure is economical and efficiently process. In this study, the variation of composting characteristics in layer manure was investigated according to air supply capacity. The fermented compost was added in layer manure and mixed with sawdust inside composting reactors. The level of air supply capacity was varied in the range of $50{\sim}200\;{\ell}/m^3/min$. During composting the temperature variations of composting piles was different the temperatures of composting piles for T-1 ($50\;{\ell}/m^3/min$) and T-2 ($100\;{\ell}/m^3/min$) were reached at $40^{\circ}C$ and $50^{\circ}C$ within 2 days, respectively. For T-3 ($150\;{\ell}/m^3/min$) and T-4 ($200\;{\ell}/m^3/min$), their temperatures was $60^{\circ}C$ within same days and maintained during 8 days. Water contents decreased according to the air supply capacity; 8.9%, 15.4%, 18.0% and 18.6% for T-1, T-2, T-3 and T-4. The weight ratios of T-1, T-2, T-3 and T-4 were reduced to 12.8%, 15.6%, 18.1% and 17.9%, respectively. The decreasing volumetric ratios of T-1, T-2, T-3 and T-4 were 18.0%, 21.0%, 22.3% and 22.0%. The oxygen discharge concentrations during composting were 12 ppm for T-1, T-2 and 9 ppm for T-3 and T-4. After composting, fertilizer components such as total nitrogen (TN) and phosphorous pentoxide ($P_2O_5$) were examined at each air supply capacity. Nitrogen contents of the T-1, T-2, T-3 and T-4 were 0.75%, 0.74%, 0.72% and 0.64%. Also, The contents of $P_2O_5$ were 0.35%, 0.40%, 0.38% and 0.42% for T-1, T-2, T-3 and T-4.

• Journal of the East Asian Society of Dietary Life
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• v.19 no.4
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• pp.579-584
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• 2009

In this experiment, three different diets were produced to investigate the effects of Jeju native chicken eggs fed with citrus peel on the profiles of rats. The first diet did not contain any eggs (TS), the second diet contained 10% eggs and no citrus peels (T0), and the third diet contained 10% chicken egg with citrus peels (T1). These diets were provided to 11-week-old male rats for four weeks. The weight gain, feed intake and feed efficiency were not significantly different between the three treatment groups, TS, T0, and T1. The weight of the liver was significantly higher in T0 and T1 than TS (p<0.05), but the weights of the kidney and epididymal fat pad were not significantly different between the TS, T0, and T1 groups. The total lipid, phospholipid, triglycerides, total cholesterol and LDL cholesterol did not significantly difference among the TS, T0, and T1 groups. The HDL cholesterol and HDL cholesterol/ total cholesterol of T1 were the highest among the groups, and the atherogenic index of T1 was the lowest among the groups (p<0.05). The total protein of TS was significantly lower in T0 and T1, and the albumin of T1 was the highest among the groups (p<0.05). The albumin/globulin ratio of TS was significantly higher in T0 and T1, but the creatinine of T0 was significantly higher in T0 and T1 (p<0.05). The blood sugar and blood pigment were not significantly different between the TS, T0, and T1 groups. The $\gamma$-GTP of T1 was the lowest among the groups (p<0.05), but the ALT, AST and ALP did not show significant difference among the TS, T0, and T1 groups.