• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.12
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• pp.372-379
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• 2019

The purpose of this study was to examine the service awareness perceived by 25 groups using animal-assisted intervention(AAI). Data collected were analyzed for variables on the effectiveness of AAI by using SPSS Win 25.0 statistical program. The study findings showed that AAI service is very effective for psychological meaning in both expecting purpose before and substantive effect after using AAI. They were satisfied with AAI generally, particularly in terms of participant engagement and differentiated services. Also, they perceived that the cost of AAI service is generally appropriate in consideration of activities with animals and satisfaction of participants but a bit expensive compared to other programs. Also, it was found that the value and the possibility of public expansion of AAI are very high and that the immersion and professionalism of the participants affect the effectiveness of AAI. The results of this study indicate that it is necessary to develop programs and verify effectiveness as a psychotherapy technique and are expected to be useful as basic data for establishing and developing a quality service of AAI.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.19 no.2
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• pp.151-161
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• 2007

Statistical characteristic analysis was carried out using the non-tidal components computed by the harmonic analysis of the tidal elevation data in East coast. The tide gauging stations included in this study are the Sokcho, Mukho, Hupo, Pohang, Ulsan and Ulreungdo stations. In this study, the variance and skewness coefficient (SC) information changes, i.e., the max. value, min. value, mean and standard deviation of the variance and SC, are compared and analysed in detail by the various analysis periods increased from one year to the maximum available period. Based on the result of the statistical information (SI) range analysis, the minimum analysis period required in order to satisfy the confidence interval of the ${\pm}5%$ range of the variance and the ${\pm}0.1$ range of the SC is suggested as the 12 years, except the Ulreungdo stations. The auto-correlation and spectral density change patterns show the very similar shapes in every stations even though the absolute values are a little bit different each other.

• Magazine of the Korean Society of Agricultural Engineers
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• v.22 no.3
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• pp.75-87
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• 1980

Most hydro]ogic phenomena are the complex and organic products of multiple causations like climatic and hydro-geological factors. A certain significant correlation on the run-off in river basin would be expected and foreseen in advance, and the effect of each these causual and associated factors (independant variables; present-month rainfall, previous-month run-off, evapotranspiration and relative humidity etc.) upon present-month run-off(dependent variable) may be determined by multiple regression analysis. Functions between independant and dependant variables should be treated repeatedly until satisfactory and optimal combination of independant variables can be obtained. Reliability of the estimated function should be tested according to the result of statistical criterion such as analysis of variance, coefficient of determination and significance-test of regression coefficients before first estimated multiple regression model in historical sequence is determined. But some error between observed and estimated run-off is still there. The error arises because the model used is an inadequate description of the system and because the data constituting the record represent only a sample from a population of monthly discharge observation, so that estimates of model parameter will be subject to sampling errors. Since this error which is a deviation from multiple regression plane cannot be explained by first estimated multiple regression equation, it can be considered as a random error governed by law of chance in nature. This unexplained variance by multiple regression equation can be solved by stochastic approach, that is, random error can be stochastically simulated by multiplying random normal variate to standard error of estimate. Finally hybrid model on estimation of monthly run-off in nonhistorical sequence can be determined by combining the determistic component of multiple regression equation and the stochastic component of random errors. Monthly run-off in Naju station in Yong-San river basin is estimated by multiple regression model and hybrid model. And some comparisons between observed and estimated run-off and between multiple regression model and already-existing estimation methods such as Gajiyama formula, tank model and Thomas-Fiering model are done. The results are as follows. (1) The optimal function to estimate monthly run-off in historical sequence is multiple linear regression equation in overall-month unit, that is; Qn=0.788Pn+0.130Qn-1-0.273En-0.1 About 85% of total variance of monthly runoff can be explained by multiple linear regression equation and its coefficient of determination (R2) is 0.843. This means we can estimate monthly runoff in historical sequence highly significantly with short data of observation by above mentioned equation. (2) The optimal function to estimate monthly runoff in nonhistorical sequence is hybrid model combined with multiple linear regression equation in overall-month unit and stochastic component, that is; Qn=0. 788Pn+0. l30Qn-1-0. 273En-0. 10+Sy.t The rest 15% of unexplained variance of monthly runoff can be explained by addition of stochastic process and a bit more reliable results of statistical characteristics of monthly runoff in non-historical sequence are derived. This estimated monthly runoff in non-historical sequence shows up the extraordinary value (maximum, minimum value) which is not appeared in the observed runoff as a random component. (3) "Frequency best fit coefficient" (R2f) of multiple linear regression equation is 0.847 which is the same value as Gaijyama's one. This implies that multiple linear regression equation and Gajiyama formula are theoretically rather reasonable functions.

• Journal of the Korean Home Economics Association
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• v.28 no.4
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• pp.177-189
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• 1990

The purpose of this study were to measure the body cathexis and the characteristics of middle-aged women groups segmented by their fashion orientation. Self-administered questionaire method was used. Seven demographic variables, 9 self-images, body cathexis were included as independent variables. Fashion orientation developed by Gutman and Mills was used. Data was collected from 369 Middle-aged women in Chonbuk Province. Frequencies, Percentages, means, standard deviation were caculated. ANOVA, cluster analysis, and discriminant analysis were used for data analysis. The results were as follows: 1. The body cathexis of the subjects were lower than capital city and increased according to age. 2. The self-image of the subjects were down-to-earth, modern, conventional, playing it safe, confident, stable, reserved and blending out into a crowd. The subjects with the self-image of being more sophisticated, confident, creative, stood out in a crowd, or complicated life style had higher body cathexis. 3. When the subjects were divided into segmentations according to their fashion orientation by cluster analysis, the best suitable number of groups was seven. The characteristics of seven groups were: *Fashion negatives showed low levels of fashion leadership and fashion interest, and medium level of importance of being well-dressed, and high level of antifashion attitudes. *Fashion neutrals showed medium levels of fashion leadership, fashion interest, and importnace of being-well dressed, and low level of antifashion attitudes. *Fashion uninvolveds showed low levels of fashion leadership, fashion interest, and antifashion attitudes. *Fashion followers showed high levels of fashion interest and importance of being well dressed, but low levels of fashion leadership and antifashion attitudes. *Fashion independents showed a littel bit high levels of fashion leadership, fashion interest, and importance fo being well-dressed, but low level of antifashion attitudes. *Fashion rejectors showed low levels of fashion leadership, fashion interest, and importance of being well-dressed, but high level of antifashion attitudes. 4. The seven groups segemented by their fashion orientation showed significant differences according to the educational levels, employment status, and total monthly income. Fashion leaders and fashion independents had higher educational level and monthly income, and involved more women with jobs. 5. Fashion leaders had self-image of being most sophisticated modern, diffenrent, creative, sociable, stood out in a crowd, and complicated life style. Fashion rejectors had self-image of being most down-to-earth, traditional, conventional, stable, reserved, blend into a crowd, and simplified life style. 6. The most effective variables among body cathexis, demographic variabls and self-images in discirminating fashion oreintation group differences were different-conventional, creativestable, and employment status. The discriminating power of above variables were high in very low in discriminating fashion negatives, fashion neutrals, and fashion independents, and the total discriminating power of these variables was 32.25%.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.28 no.11C
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• pp.1077-1087
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• 2003

In this paper, we proposed an architecture of a cryptosystem with various operating modes for the network security and implemented in hardware using the ASIC library. For configuring a cryptosystem, the standard block ciphers such as AES, SEED and 3DES were included. And the implemented cryptosystem can encrypt and decrypt the data in real time through the wired/wireless network with the minimum latency time (minimum 64 clocks, maximum 256 clocks). It can support CTR mode which is widely used recently as well as the conventional block cipher modes such as ECB, CBC and OFB, and operates in the multi-bit mode (64, 128, 192, and 256 bits). The implemented hardware has the expansion possibility for the other algorithms according to the network security protocol such as IPsec and the included ciphering blocks can be operated simultaneously. The self-ciphering mode and various ciphering mode can be supported by the hardware sharing and the programmable data-path. The global operation is programmed by the serial communication port and the operation is decided by the control signals decoded from the instruction by the host. The designed hardware using VHDL was synthesized with Hynix 0.25$\mu\textrm{m}$ CMOS technology and it used the about 100,000 gates. Also we could assure the stable operation in the timing simulation over 100㎒ using NC-verilog.

• Journal of the Korea Society of Computer and Information
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• v.15 no.3
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• pp.65-72
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• 2010

We propose the asymmetric 2.5Gbps/622Mbps PON(Passive Optical Network) in order to reduce the bandwith of filter at receiver with inverse RZ(Return to Zero) code coded downstream and NRZ(Non Return to Zero) upstream re-modulation. I theoretically analyze BER(Bit Error Rate) performance and the power sensitivity with the optimal threshold level by performing simulation with MATLAB according to the types of downstream data. The results have shown that the optimal threshold level at the optical receiver could be saturated at 0.33 as the optical received power increase more than -26dBm to keep $10^{-12}$ of BER to a minimum. Also the power sensitivity is more improved by about 3dB by fixing the threshold level at 0.33 than the conventional receiver. The proposed system can be a useful technology for optical access networks with asymmetric upstream and downstream data rates because the optical receiver can be used without controlling threshold levels and that does not require a light source in optical network unit (ONU) and its control circuits in the optical line termination (OLT).

• The KIPS Transactions:PartD
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• v.10D no.6
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• pp.1059-1066
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• 2003

In this paper, the magnetic sensing system is designed and implemented for the safe security in internet commerce system. When the payment is required inthe internet commerce system, the magnetic sensing system will get the information from a credit card without keyboard input and then encrypt and transmit the information to server. The credit card sensing system, which is proposed in this paper, is safe from keyboard hacking because it encrypts card information immediately in its internal chip and sends the information to host system. For the protection of information, the magnetic sensing system is basically based on a synchronous stream cipher cryptosystem which is related to a group of matrices. The size of matrices and the bits of keys for the best performances are determined for various cases. It is shown that for credit card payments. matrices of size 2 have good performance even at most 128bits keys with the consideration of inverse matrices. For authentication of general-purpose data, the magnetic sensing system needs more than 1.5KB data and in this case, the optimum size of matrices is 2 or 3 at more 256bits keys with consideration of inverse matrices.

• Korean Journal of Plant Resources
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• v.33 no.6
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• pp.624-637
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• 2020

High-quality and high-phytonutrient watermelon fruits have strong market opportunities besides their health related benefits. Hence, investigating quality and nutritional related traits of watermelon genetic resources could provide important baseline data in breeding for increased lycopene content thereby increasing the marketability of watermelon. To this end, we have examined some fruit morphological traits and lycopene content of 105 genetic resources. Seeds, originally obtained from 22+ countries, were obtained from the National Agrobiodiversity Center, Jeonju, South Korea, grown in an experimental field and harvested at a fully mature stage. The size of pistil scar (SPS), the width of stripes (WS), weight of fruit (WF), length of fruit (LF), width of fruit (WIF), the thickness of pericarp (TP), soluble solids content (SSC), fruit shape in longitudinal section, ground color of skin, the intensity of the green color of skin, fruit shape at the apical part, grooving distribution, conspicuousness of stripes, and main color of the flesh were recorded on the field and inside laboratory and the lycopene was measured using spectrophotometric and HPLC methods. Watermelon fruits have shown a diverse morphological characters. Red and pink fleshed fruits dominated in the entire collections. Fruits with higher thickness of rind were found to exhibit less soluble solid content (SSC). Korean origin fruits were characterized by intermediate SSC while the United States of America (USA), Russia (RUS), Tajikistan (TJK), Turkmenistan (TKM), Taiwan (TWN), and Uruguay (URY) originated fruits had the highest SSC. The lycopene content varied between 41.37 and 182.82 ㎍/g, 2.81 and 163.72 ㎍/g, and 3.54 and 255.47 ㎍/g using HPLC, UV-Vis spectrophotometer, and microplate reader spectrophotometer, respectively. Red- and pink-fleshed fruits had the highest levels of lycopene content compared to the yellow- and orange-fleshed. Lycopene content had a significant positive correlation with SSC, however, no correlations were detected between lycopene and other quantitative fruit morphological characters. Our study demonstrated high diversity exists in fruit morphological traits and lycopene content of the germplasm collections which provide beneficial baseline data for a future breeding program and utilization of watermelon germplasm collections in gene banks for the maintenance and improvement of the current levels of production, marketability, and health-related benefit of watermelon fruits.

• Journal of Korean Public Health Nursing
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• v.18 no.1
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• pp.61-73
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• 2004

This study is intended to suggest fundamental data necessary for developing MBTI program that can help improve interpersonal relation skills of nursing science major students and their cohesion. This study is pre-experimental research by one group pretest-post test design to examine the effect of MBTI(Myers and Briggs Type Indicator) basic program on the interpersonal relationship between nursing science major students and their group cohesion and the relationship between interpersonal relationship and their group cohesion. I selected 39 of sophomore students in the department nursing science of K university in I metropolitan city as test group. 35 of them joined post-test. Pretest and MBTI basic program were done before conducting MBTI program. Collected data were analyzed by SPSS window 7.5. The difference in test group before and after conducting program was examined by paired t-test. The correlation between interpersonal relationship and group cohesion was measured by using Pearson Correlation Coefficient. The findings are as follows. $\cdot$ The difference before and after conducting MBTI program by sub-factors of interpersonal relation: There was no significant difference, as the average figure of interpersonal relation in test group was 87.22 before conducting MBTI and 85.08 after conducting MBTI respectively. The average figure of sensitivity among the sub-factors of interpersonal relation was 7.71 before conducting MBTI and reduced to 7.08 after conducting MBTI and there was significant difference between before and after conducting MBTI(t=-2.484, p=.018) $\cdot$ The difference in group cohesion before and after conducting MBTI program: The average figure of group cohesion in test group was 56.68 before conducting MBTI and increased a bit to 56.80 after conducting MBTI\, but there was no significant difference between them. $\cdot$ The relationship between interpersonal relationship and group cohesion before and after conducting MBTI: As the relationship between interpersonal relationship and group cohesion before and after conducting MBTI is examined, there was positive correlation of the significance level. p<.05 before conducting MBTI(r=.320, p=.047), and of the significance level, p<.01 after conducting MBTI(r=.780, p=.000). The investigation on the relation between sub-factors of group cohesion and of interpersonal relation before conducting MBTI basic program revealed that there was positive correlation between openness, reliability, friendliness and satisfaction, and group intervention, between receptivity among group members and reliability, and between group atmosphere and satisfaction. The investigation on the relation between sub-factors of group cohesion and of interpersonal relation after conducting MBTI basic program revealed that there was positive correlation between openness, communication, understanding, friendliness and satisfaction. and group intervention. There was positive correlation between receptivity among group members and openness, communication, understanding, friendliness and satisfaction. There was positive correlation between openness, communication, friendliness and satisfaction, and group atmosphere. Based on the above findings, I realize that MBTI basic program is essential to the improvement of group cohesion. In addition, it is shown that the sub-factors of interpersonal relation such as openness, communication, friendliness, satisfaction, and understanding, and the sub-factors such as group intervention and receptivity among group members are major factors to improve interpersonal relationship and group cohesion. So, the future MBTI program should include sub-programs that deal with the above factors to improve interpersonal relationship and group cohesion.

• CRM연구
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• v.4 no.2
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• pp.19-29
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• 2011

There is a large difference between purchasing patterns in an online shopping mall and in an offline market. This difference may be caused mainly by the difference in accessibility of online and offline markets. It means that an interval between the initial purchasing decision and its realization appears to be relatively short in an online shopping mall, because a customer can make an order immediately. Because of the short interval between a purchasing decision and its realization, an online shopping mall transaction usually contains fewer items than that of an offline market. In an offline market, customers usually keep some items in mind and buy them all at once a few days after deciding to buy them, instead of buying each item individually and immediately. On the contrary, more than 70% of online shopping mall transactions contain only one item. This statistic implies that traditional data mining techniques cannot be directly applied to online market analysis, because hardly any association rules can survive with an acceptable level of Support because of too many Null Transactions. Most market basket analyses on online shopping mall transactions, therefore, have been performed by expanding the co-occurrence criteria of traditional association rule mining. While the traditional co-occurrence criteria defines items purchased in one transaction as concurrently purchased items, the expanded co-occurrence criteria regards items purchased by a customer during some predefined period (e.g., a day) as concurrently purchased items. In studies using expanded co-occurrence criteria, however, the criteria has been defined arbitrarily by researchers without any theoretical grounds or agreement. The lack of clear grounds of adopting a certain co-occurrence criteria degrades the reliability of the analytical results. Moreover, it is hard to derive new meaningful findings by combining the outcomes of previous individual studies. In this paper, we attempt to compare expanded co-occurrence criteria and propose a guideline for selecting an appropriate one. First of all, we compare the accuracy of association rules discovered according to various co-occurrence criteria. By doing this experiment we expect that we can provide a guideline for selecting appropriate co-occurrence criteria that corresponds to the purpose of the analysis. Additionally, we will perform similar experiments with several groups of customers that are segmented by each customer's average duration between orders. By this experiment, we attempt to discover the relationship between the optimal co-occurrence criteria and the customer's average duration between orders. Finally, by a series of experiments, we expect that we can provide basic guidelines for developing customized recommendation systems.