• The Journal of Korean Institute of Communications and Information Sciences
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• v.42 no.4
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• pp.739-746
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• 2017

Orthogonal frequency division multiplexing(OFDM) systems have many advantages. However, OFDM systems are much affected by a nonlinear distortion because those systems have a high peak to average power ratio(PAPR) value. A selected mapping technology was suggested to reduce a PAPR value. The technology does not have data loss but receivers need side information to know modified phase sequence. Therefore, side information causes decreased a transmission efficiency. In this paper, we suggest a blind SLM receiver using a cross correlation technology. This receiver does not require side information. The proposed blind SLM receiver calculates sums of cross-correlation between transmitted pilot signals multiplied by each phase sequence and received pilot signals. So, this receiver detects side information which has a maximum sum cross-correlation value. We compared our proposed SLM receiver to a conventional blind SLM receiver through bit error rate(BER) and side information error rate(SIER) performances. Simulation results show that the proposed SLM receiver has improved BER and SIER performances than the conventional SLM receiver.

• Clinical and Experimental Reproductive Medicine
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• v.15 no.2
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• pp.119-128
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• 1988

It has been suggested that the presence of periovarian adhesions might impair the ovarian response to gonadotropins. Total 136 patients who underwent IVF-ET from February to June 1988(88-1 and 88-2 series) at SNUH were classified into three groups according to total ovarian access score, sum of each ovarian availability, estimated by diagnostic laparoscopy : group I(N=43,0%-50%), group II(N=49, 50%-150%) and group III(N=44, 150%-200%). To evaluate the effects of periovarian adhesions on follicular development in controlled ovarian yperstimulation for IVF-ET, serum E2 levels on the day of hCG dministration (Day 0) and the day after hCG administration (Day+1), the number of ovarian follicles with mean diameter${\geqq}$12mm on Day 0, and the number of oocytes retrieved by transvaginal aspiration were measured and compared among groups. There were no significant differences in age of patients, cancellation rate due to inadequate ovarian response, serum E2 levels, the number of ovarian follicles, the number of oocytes retrieved, and oocytes retrieval rate per follicle. In the same patients(N=31) in group II in whom the difference in ovarian availability between two ovaries is more than 50%, there was also no significant difference in the number of ovarian follicles between them. These data suggest that pelvic adhesions including periovarian adhesions have no adverse effects on the ovarian response to gonadotropins stimulation and the outcome of IVF-ET.

• Journal of Korea Port Economic Association
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• v.32 no.3
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• pp.67-81
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• 2016

This paper examines the influence of Brexit on container volume of Korea, especially of macroeconomic variables such as exchange rate and industrial production of EU and United Kingdom. To do this, we use monthly time series data during 2000-2016, and introduce the analysis method of cointegration test and VECM, and analyze the influence of industrial production and exchange rate of EU and U.K. on container volume of Korea. The results are as follows. First, the container volume of Korea is influenced by the exchange rate and industrial production of EU in the long run. But the exchange and industrial production of U.K. influenced on only export container volume of Korea, and the influence of U.K. macroeconomic variables on container volume of Korea was not large in the long lun. Second, In the shot run, the influence of exchange rate on container volume of Korea, especially on export container volume was significant in EU and U.K. To sum up, the influence of EU macroeconomic variables on container volume of Korea is larger than that of U.K., and the influence of exchange rate variable is more significant than that of industrial production variable.

• Clean Technology
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• v.26 no.1
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• pp.39-54
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• 2020

This study analyzed the groundwater quality according to the depth and geological features in Gyeongsangnam-do area using groundwater quality monitoring network data to grasp the groundwater quality characteristics and to provide basic data for policy making on efficient groundwater management. Five hundred and three data sets were acquired from background water quality exclusive monitoring network in soil groundwater information system for five years (2013 ~ 2017). Except for the total coliforms and tracer items such as mercury, phenol, and others, the parameters of water quality were significant or very significant, depending on depth and geological features. As the depth got deeper, the average value of pH and electrical conductivity increased; water temperature, dissolved oxygen, oxide reduction potential, arsenic, total coliforms, and turbidity decreased; and total unfit rate for drinking water standards was lower. It was found that the sum of the positive and negative ions was the highest in the clastic sedimentary rock and the lowest in metamorphic rock. The total unfit rate for drinking water standards was the highest for metamorphic rocks, followed by clastic sedimentary rock and unconsolidated sediments and, finally, intrusive igneous rock with the lowest penetration. The Na-Cl water type, which indicated the possibility of contamination by external pollutants, appeared only at some points in shallow depths and in clastic sedimentary rocks.

• Journal of Korean Academy of Nursing
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• v.30 no.5
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• pp.1243-1253
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• 2000

The purpose of this study was to verify the validity of the Patient Severity Classification Tool by examining the correlations between the APACHE Ⅲ and the Patient Severity Classification Tool and to propose admission criteria to the ICU. The instruments used for this study were the APACHE Ⅲ developed by Knaus and the Patient Severity Classification Tool developed by Korean Clinical Nurses Association. Data was collected from the 156 Medical ICU patients during their first 24 hours of admission at the Seoul National University Hospital by three trained Medical ICU nurses from April 20 to August 31 1999. Data were analyzed using the frequency, $x^2$, Wilcoxon rank sum test, and Spearman rho. There was statistically significant correlations between the scores of the APACHE III and the Patient Severity Classification Tool. Mortality rate was increased as patients classification of severity in both the APACHE III and the Patient Severity Classification Tool scored higher. The Patient Severity Classification Tool was proved to be a valid and reliable tool, and a useful tool as one of the severity predicting factors, ICU admission criteria, information sharing between ICUs, quality evaluations of ICUs, and ICU nurse staffing.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.44 no.11
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• pp.25-32
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• 2007

In this paper, we propose the Group Separation Algorithm for RFID Tag Anti-Collision. We study the RFID Tag anti-collision technique of ALOHA and the anti-collision algorithm of binary search. The existing technique is several problems; the transmitted data rate included of data, the recognition time and energy efficiency. For distinction of all tags, the Group Separation algorithm identify each Tag_ID bit#s sum of bit #1#. In other words, Group Separation algorithm had standard of selection by collision table, the algorithm can reduce unnecessary number of search even than the exisiting algorithm. The Group Separation algorithm had performance test that criterions were reader#s number of repetition and number of transmitted bits for understanding tag. We showed the good performance of Group Separation algorithm better than exisiting algorithm.

• Journal of Korean Academic Society of Home Health Care Nursing
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• v.22 no.2
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• pp.206-215
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• 2015

Purpose: This study aimed to provide basic data to enhance self-nursing ability by investigating the symptoms of autonomic neuropathy and self-management activities in patients with diabetes accompanying hypertension. Methods: Subjects were 113 type-2 diabetic patients who were diagnosed as hypertensive in two primary medical institutions and taking anti-hypertensive treatments. The existence of postural hypotension was evaluated by blood pressure and pulse rate, and the subjective symptoms of autonomic neuropathy and self-management activities were checked by structured questionnaires. The collected data were analyzed by chi-square test, Fisher's exact test, t-test, Wilcoxon rank sum test and analysis of covariance. Results: Postural hypotension occurred in 4.4% of the subjects. Urinary frequency and dizziness during postural changes were the most frequent symptoms of autonomic neuropathy, and 57.5% of the subjects complained of symptoms in two or more domains. The group with autonomic neuropathy symptoms showed higher age, higher living stress, and fewer self-management activities in the diet and foot management domains as compared to the group without autonomic neuropathy symptoms. Conclusion: From these results, we learned that strengthening education on self-management for diet and foot management and customized interventions considering age and living stress are required through early identification of the symptoms of autonomic neuropathy in patients with diabetes accompanying hypertension.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.44 no.4
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• pp.1-9
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• 2007

in this paper, we propose the Adaptive Decision Algorithm for RFID Tag Anti-Collision. We study the RFID Tag anti-collision technique of ALOHA and the anti-collision algorithm of binary search. The existing technique is several problems; the transmitted data rate included of data, the recognition time and energy efficiency. For distinction of all tags, the Adaptive Decision algorithm identify smaller one ,each Tag_ID bit's sum of bit '1'. In other words, Adaptive Decision algorithm had standard of selection by actively, the algorithm can reduce unnecessary number of search even than the exisiting algorithm. The Adaptive Decision algorithm had performance test that criterions were reader's number of repetition and number of transmitted bits for understanding tag. We showed the good performance of Adaptive Decision algorithm better than exisiting algorithm.

• Journal of Korean Academy of Nursing
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• v.42 no.2
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• pp.207-216
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• 2012

Purpose: This study was conducted to determine the risk factors among patients with depression with Crohn's disease. Methods: Data were collected by questionnaire from 276 patients who were diagnosed with Crohn's disease at a tertiary hospital located in Seoul. Measurements included patients' demographic characteristics, clinical characteristics, depression level, and health-related quality of life. Data were analyzed using t-test, $X^2$-test, Wilcoxon rank sum test, and logistic regression analyses. Results: The incidence rate of depression (BDI-II${\geq}$14scores) was 31.9% (n=88). Univariate analysis revealed that being a woman, school graduation status, economic status (low), BMI(<$18.5Kg/m^2$), disease duration (${\geq}3$ years), CDAI (${\geq}150$ scores), frequency of hospital admission (${\geq}2$), extra-intestinal manifestation (arthralgia, stomatitis), administration of 5-aminosalicylic acid, and disease related quality of life (SIBDQ<50 scores) were associated with depression. Multivariate analysis revealed that economic status (low), school graduation status, and quality of life (SIBDQ<50 scores) were more likely to report high level of depression. Conclusion: Future research should consider managing depression as an essential component of comprehensive care for patients with Crohn's disease. In addition, further research is needed to develop strategies to better improve quality of life among patients with Crohn's disease who are depressed.

• Journal of the Korea Society of Computer and Information
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• v.11 no.1 s.39
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• pp.45-53
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• 2006

Finite failure NHPP models presented in the literature exhibit either constant, monotonic increasing or monotonic decreasing failure occurrence rates per fault. In this paper, Goel-Okumoto and Yamada-Ohba-Osaki model was reviewed, proposes the $x^2$ reliability model, which can capture the increasing nature of the failure occurrence rate per fault. Algorithm to estimate the parameters used to maximum likelihood estimator and bisection method, model selection based on SSE, AIC statistics and Kolmogorov distance, for the sake of efficient model, was employed. Analysis of failure using real data set, SYS2(Allen P.Nikora and Michael R.Lyu), for the sake of proposing shape parameter of the $x^2$ distribution using the degree of freedom, was employed. This analysis of failure data compared with the $x^2$ model and the existing model using arithmetic and Laplace trend tests, Kolmogorov test is presented.