• KSBB Journal
• /
• v.28 no.3
• /
• pp.185-190
• /
• 2013

For the selection of peptide specifically binding to $Pb^{2+}$, the biopanning with the commercially available Ph.D.-7 phage displayed heptapeptide library was carried out against $Pb^{2+}$ immobilized on a metal-chelating IDA (iminodiacetic acid) resin. After four rounds of screening against $Pb^{2+}$-IDA including negative selections against charged bead with metal ions other than $Pb^{2+}$ and uncharged bead, several candidate lead-binding phage peptides were initially determined based on the order of frequency from the screened phage clones. Of the selected phage peptide sequences, the peptide of the highest frequency, CysSerIleArgThrLeuHisGlnCys (CSIRTLHQC) also exhibited the strongest affinity for $Pb^{2+}$ in binding assays for individual phage clones. However, there was not a significant difference in $Pb^{2+}$ affinity between selected peptides when using synthetic heptapeptides corresponding to the displayed peptide sequences of phage clones.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.25 no.1B
• /
• pp.112-119
• /
• 2000

A two-color infrared (IR) seeker employs two detection-bands for efficient target tracking under countermeasures and background noises. This paper describes a study on the detection-band selections for the two-color seeker. To select the detection-bands, we analysis infrared radiation characteristics of a target, a flare, and background noises and then other characteristics closely related with the received power, such as the atmospheric transmission, acquisition range, background noise effect, and signal-to-noises. The analysis shows that the pertinent bands of two-color IR seeker are 3 um~5 um for target detection and 1.5 um~l.7 um for counter-countermeasures. The results of our study will play a significant role in the further study of two-color seekers.

• Journal of Information Processing Systems
• /
• v.12 no.3
• /
• pp.436-454
• /
• 2016

This research presents the battery discharge rate models for the energy consumption of mobile phone batteries based on machine learning by taking into account three usage patterns of the phone: the standby state, video playing, and web browsing. We present the experimental design methodology for collecting data, preprocessing, model construction, and parameter selections. The data is collected based on the HTC One X hardware platform. We considered various setting factors, such as Bluetooth, brightness, 3G, GPS, Wi-Fi, and Sync. The battery levels for each possible state vector were measured, and then we constructed the battery prediction model using different regression functions based on the collected data. The accuracy of the constructed models using the multi-layer perceptron (MLP) and the support vector machine (SVM) were compared using varying kernel functions. Various parameters for MLP and SVM were considered. The measurement of prediction efficiency was done by the mean absolute error (MAE) and the root mean squared error (RMSE). The experiments showed that the MLP with linear regression performs well overall, while the SVM with the polynomial kernel function based on the linear regression gives a low MAE and RMSE. As a result, we were able to demonstrate how to apply the derived model to predict the remaining battery charge.

• The Korean Journal of Community Living Science
• /
• v.20 no.3
• /
• pp.385-396
• /
• 2009

The purpose of this study was to analyze and categorize the factors of appearance management motivation of male and female college students in Busan. It also aimed to analyze the differences in their clothing behavior and make-up behavior. The data were analyzed by Factor analysis, Cluster analysis, one-way ANOVA, Duncan's multiple range test, and multi-response analysis. The results of this study are as follows: There were four factors including self -development, emphasis on the physical appearance, individuality-seeking, and sexual appealing. These subjects were categorized into three different types of groups: social-self-management type, passive appearance management type, and individuality-seeking type. In terms of the differences in the clothing purchase behavior of the physical appearance management motivation group, there were significant differences in the criteria of their selections for clothing. The most important factor was the design, followed by the price and the fabrics. The differences in cosmetics selection were investigated in order to analyze the differences in their make-up behavior of physical appearance management motivation group. The results showed that the quality, the price, and the manufacturing country were considered as the most important criteria for their selection of cosmetics.

• Korean Journal of Organic Agriculture
• /
• v.12 no.2
• /
• pp.135-151
• /
• 2004

U.S. organic farming has grown rapidly-20 percent or more annually-throughout the 1990s, which kept pace with consumer demand for organically produced food. Thus certified organic acreage is the total to 235 million acres in 48 state in 2001, and SO the U.S. ranked fourth in land area managed under organic farming systems. And according to several surveys, consumer's reasons for purchasing organic food are health and nutrition, taste and environmental concerns. California and North Dakota were the top two states in 2001 for certified organic cropland; the former with mostly fruits and vegetables, and the latter with wheat, soybeans, and other crops. And the top two states for certified organic pasture were Colorado and Texas. And then several states such as Iowa and Minnesota have begun subsidizing conversion to organic farming systems as a way to capture the environmental benefits of these systems. The price of organic produce fluctuates rather broadly because of being traded by market economy principle and of demand-supply disequilibrium. Nevertheless, average price premiums for organic produce are higher than the prices for the produce under conventional farming. Future prospects for U.S. organic farming are as follows; Demand for organically grown foods is expected to continue growing at a rapid pace, as more growers convert to organic production and more processors and distributors expand organic selections in their product lines. And new processed products and new types of healthy foods are likely to appear on the market, and some new organic products will be aimed at mainstream markets.

• The Plant Pathology Journal
• /
• v.30 no.3
• /
• pp.279-287
• /
• 2014

KYC 3262 was selected as a biocontrol agent against anthracnose on hot pepper from 813 extracts of myxobacterial isolates. Dual culture with Colletotrichum acutatum and 813 myxobacterial extracts was conducted, and 19 extracts were selected that inhibited germination and mycelial growth of C. acutatum. All selections were Sorangium cellulosum, which are cellulolytic myxobacteria from soil. With the infection bioassay on detached fruits in airtight containers, KYC 3262, KYC 3512, KYC 3279, and KYC 3584 were selected. The listed four myxobacteria were cultured in CSG/1 liquid media, and harvested filtrates were sprayed on the infected fruits. KYC 3262 was selected from the studies of attached fruit in a greenhouse study. KYC 3262 filtrate was applied for 3 years (from 2011 to 2013) in a field study in Asan, Republic of Korea. Control values of the KYC 3262 in the field were 31%, 89%, and 82% in 2011, 2012, and 2013, whereas values of the fungicide spray treatment were 19%, 97%, and 91%, respectively. Yields (kg/20 plants) of the KYC 3262 were 2.66 kg and 18.6 kg in 2011 and 2013, respectively, and those of the fungicide treatment were 2.0 kg and 20.2 kg, in 2011 and 2013, respectively.

• The Korean Journal of Applied Statistics
• /
• v.29 no.1
• /
• pp.27-39
• /
• 2016

This paper considers variable selection in the sparse vector autoregressive (sVAR) model where sparsity comes from setting small coefficients to exact zeros. In the estimation perspective, Davis et al. (2015) showed that the lasso type of regularization method is successful because it provides a simultaneous variable selection and parameter estimation even for time series data. However, their simulations study reports that the regular lasso overestimates the number of non-zero coefficients, hence its finite sample performance needs improvements. In this article, we show that the adaptive lasso significantly improves the performance where the adaptive lasso finds the sparsity patterns superior to the regular lasso. Some tuning parameter selections in the adaptive lasso are also discussed from the simulations study.

• Korean Journal of Geomatics
• /
• v.1 no.1
• /
• pp.95-101
• /
• 2001

In a route plan, the route selection is a complicated problem to consider the spatial distribution and influence through overall related data and objective analysis on the social, economic and technical condition. The developed system in this study was compared and estimated by deciding a practical section for its validity and efficiency. Using Geographic Information System (GIS), the various information required for route selections in database was constructed, the characteristics of subject area by executing three-dimensional terrain analysis was grasped effectively, and the control point through buffering, overlay and location operation was extracted. An optimum route was selected by calculating the sum of alternatives to the sub-criteria weight, and from this result, there is a difference between real route and proposed route according to the prioritization of decision criteria based on the importance. This research could be constructed and applied geospatial information to the reasonable route plan and an optimum route selection efficiently using GIS. Therefore, the applications are presented by applying Analytic Hierarchy Process (AHP) to the decision-making of information needed in route selection.

• Journal of the Korean Society for Geothermal and Hydrothermal Energy
• /
• v.13 no.1
• /
• pp.7-13
• /
• 2017

In order to use and manage the building energy efficiently, it is necessary to minimize building energy consumptions, and establish operation plans of various equipment. The maximum heating and cooling load calculation is an essential way in various equipment selections, and the annual building load calculation is used in forecasting & evaluating the LCC required for operation plan. In this study, noting that the annual building load changes depending on outside temperature around year, we propose a predicting method of annual building load. By using the $4^{th}$ polynomial function that have two double radix and a feature the $f(x)=a^4$ in x = 0 condition, we can calculate annual building load very easily only with the two result (maximum heating and cooling load) and a minimum parameters.

• Journal of The Korean Association For Science Education
• /
• v.11 no.1
• /
• pp.83-96
• /
• 1991

The purpose of this study is to construct the evaluative objectives of science inquiry skills specificationaly. Specification of evaluative objectives will be able to serve as evaluative criterion for development of a test of the integrated science process skills. The results in this study are as follows ; (l) The selections of science inquiry skills from the previous developed taxonomies are observation, measurement, formulating hypothesis, designing an experiment and controlling variables, inference, predicting(including intrapolation and extrapolation), organizing data and interpreting, defining operationally, formulating a generalization or model, drawing a conclusion. (2) The definitions of the selected science inquiry skills are made operationally. (3) Evaluative objectives relating to the selected science inquiry skills are specified with the previous developed items. Based on the above results, total 9 science inquiry skills are selected and 72 evaluative objectives are specified.