• 한국해양학회지
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• v.19 no.1
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• pp.11-17
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• 1984

The abnormal cooling phenomenon occurred in the coastal areas of East Sea of Korea in summer, 1981 is studied on the basis of the oceanographical data obtained by the National Fisheries University of Pusan, in July, 1981 and by Fisheries Research and Development Agency of Korea during 1961 to 1981 and by Japan Meteorological Agency in 1975 and 1981. Th vertical section of temperature along 130 E showed that the warmer waters more than 10 C occupied at upper layer of about 75m depth in south of 35 30'N the layer changed rapidly thinner as 20m th 30m depth. In the areas of East Sea during 1966 to 1981, the temperature fluctuations at 100m depth ranged greatly in standard deviation from 2 C to 4 C. The temperature anomaly in 1981 was about 1.5 times of the standard deviation and at the upper layer of 150m depth the temperatures became colder by 5 -10 C than average values in August, 1961-1975. The 10 C isotherm at 100m depth in 1981 appeared between 35 and 36 N, shifting southward 20 to 120 miles than mean year. These results showed that the abnormal cooling phenomenon in the areas of East Sea of Korea in summer occurred mose predominantly in 1981 in period from 1966 to 1981

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.13 no.1
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• pp.11-15
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• 1977

The circulation of the sea water in relation to the submarine topography is discussed using the oceanographic, current measurement and echo-sounding data obtained by R/V Odaesan in the waters adjacent to Kamchatka and Kurile Islands. The continental shelf which is approximately seventy-five kilometers wide at the east of Kamchata Peninsula becomes narrower at the Kurile Islands, and is cut, at the sea floor approximately twenty miles east of Onekotan Island, by a narrow, shallow sea channel extending from the depression in the Onekotan Strait, forming an elevation similar to a guyot. The measured current speed of approximately one knot in the Oyashio Current region east of Kurile Island is faster than that (0.5-0.7 knot) deduced by the dynamic computation of ocean current.

• Korean Journal of Ecology and Environment
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• v.46 no.1
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• pp.10-17
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• 2013

History of Instream Flow Incremental Methodology (IFIM) Following the large reservoir and water development era of the mid-twentieth century in North America, resource agencies became concerned over the loss of many miles of riverine fish and wildlife resources in the arid western United States. Consequently, several western states began issuing rules for protecting existing stream resources from future depletions caused by accelerated water development. Many assessment methods appeared during the 1960's and early 1970's. These techniques were based on hydrologic analysis of the water supply and hydraulic considerations of critical stream channel segments, coupled with empirical observations of habitat quality and an understanding of riverine fish ecology. Following enactment of the National Environmental Policy Act (NEPA) of 1970, attention was shifted from minimum flows to the evaluation of alternative designs and operations of federally funded water projects. Methods capable of quantifying the effect of incremental changes in stream flow to evaluate a series of possible alternative development schemes were needed. This need led to the development of habitat versus discharge functions developed from life stage-specific relations for selected species, that is, fish passage, spawning, and rearing habitat versus flow for trout or salmon. During the late 1970's and early 1980's, an era of small hydropower development began. Hundreds of proposed hydropower sites in the Pacific Northwest and New England regions of the United States came under intensive examination by state and federal fishery management interests. During this transition period from evaluating large federal reservoirs to evaluating license applications for small hydropower, the Instream Flow Incremental Methodology (IFIM) was developed under the guidance of the U.S. Fish and Wildlife Service (USFWS).

• Journal of Energy Engineering
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• v.26 no.4
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• pp.45-56
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• 2017

Coal power plants produce electricity for the nation's power grid, but they also produce more hazardous air emissions than any other industrial pollution sources. The quantity is staggering, over 386,000 tons of 84 separate hazardous air pollutants spew from over 400 plants in 46 states. In South Korea also, annual coal ash generation from coal-fired power plants were about 6 million tons in 2015. Pollutants containing particulate matter 10, 2.5 (PM10, PM2.5), heavy metals and dioxins from coal-fired power plant. The emissions threaten the health of people who live near these power plants, as well as those who live hundreds of miles away. These pollutants that have long-term impacts on the environment because they accumulate in soil, water and animals. The present study is to investigate the physical and chemical characteristics of coal-fired power plant fly ash and bottom ash contains particulate matter, whose particulate sizes are lower than $PM_{10}$ and $PM_{2.5}$ and heavy metals. There are wide commercial technologies were available for monitoring the PM 2.5 and ultra-fine particles, among those carbonation technology is a good tool for stabilizing the alkaline waste materials. We collected the coal ash samples from different coal power plants and the chemical composition of coal fly ash was characterized by XRF. In the present laboratory research approach reveals that potential application of carbonation technology for particulate matter $PM_{10}$, $PM_{2.5}$ and stabilization of heavy metals. The significance of this emerging carbonation technology was improving the chemical and physical properties of fly ash and bottom ash samples can facilitate wide re use in construction applications.

• Journal of Families and Better Life
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• v.33 no.3
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• pp.31-48
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• 2015

This study examined the factors affecting the client's binge drinking, and the client and parents' change led by family therapy. From August to November 2011, the counseling case of this research was consisted of a total of 9 sessions-individual, parents, mother-daughter, father-daughter, and family counseling. This study utilized verbatim and audio recordings, and employed Miles and Huberman(1994) matrix and network to analyze the data. The findings of the study revealed that the factors that influenced the client's binge drinking included the family's dysfunctional communication method, adverse rearing attitude owing to unresolved emotional problems from the family-of-origin, and the client family's peculiar environment and culture. The therapist's intervention included making the client aware of his own problem, helping to gain insight and understand the parents' family-of-origin, connecting the past family-of-origin and the present, identifying attempted solutions, making aware of new change, and suggesting new communication methods. Through the therapist's intervention employing MRI interactional family therapy model and Bowen's family systems theory, the family members experienced changes; perception of all family members that participated in the counseling changed, and accordingly, their communication method and attitude changed as well. Through these changes in the family, the client's alcohol consumption reduced in terms of both frequency and amount, thus was able to solve their binge drinking problem.

• The Korean Journal of Rehabilitation Nursing
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• v.3 no.1
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• pp.15-26
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• 2000

This study examined the relationship between the level of hardiness and self-care agency of persons with a colostomy. The purpose of the study was to explore the effect of hardiness on self-care agency of persons with a colostomy and to identity factors influencing on. The ultimate goal was to help nurses improve the person's self-care agency and to contribute theoretical base for the planning of supportive nursing interventions to increase the level of self care. The subjects for the study consisted of 43 persons aged above eighteen below seventy had had Miles operation and permanent colostomy. The data were collected from July, 1998 to September 15, 1998. The instruments used for this study were the Health-Related Hardiness (Pollock, 1984) and the Self-carer As Inventory Scale(Genden & Taylor, 1988). The Self-Carer As Inventory translated by So Hyang-sook and was modified by author of this study. The data were analysed by using SAS computerlized program and included number, percentage, t-test, ANOVA and Pearson Correlation Coefficient. The results of the study are summarized as follows. 1. Hardiness was significantly related to Self-care agency(r=-0.531. p=0.0002). That is, the higher the hardiness, the higher the level of Self-care agency. 2. In the relationship between general characteristics and traits of persons with a colostomy and hardiness were significant difference in monthly income (F=2.79, p=0.03), problem in stoma management (F=3.29, p=0.01). 3. In the relationship between general characteristics and traits of persons with a colostomy and Self-care agency were significant difference in monthly income (F=2.93, p=0.03), problem in stoma management(F=2.93, p=0.01). Therefore, in order to increase the level of Self-care agency of ostomate Nurses should be helpful to provide them with hardiness training to strengthen their control, commitment and challenge(subconcepts of hardiness).

• Radiation Oncology Journal
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• v.37 no.1
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• pp.13-21
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• 2019

Purpose: Glioblastoma (GBM) carries a high propensity for in-field failure despite trimodality management. Past studies have failed to show outcome improvements with dose-escalation. Herein, we examined trends and outcomes associated with dose-escalation for GBM. Materials and Methods: The National Cancer Database was queried for GBM patients who underwent surgical resection and external-beam radiation with chemotherapy. Patients were excluded if doses were less than 59.4 Gy; dose-escalation referred to doses ≥66 Gy. Odds ratios identified predictors of dose-escalation. Univariable and multivariable Cox regressions determined potential predictors of overall survival (OS). Propensity-adjusted multivariable analysis better accounted for indication biases. Results: Of 33,991 patients, 1,223 patients received dose-escalation. Median dose in the escalation group was 70 Gy (range, 66 to 89.4 Gy). The use of dose-escalation decreased from 8% in 2004 to 2% in 2014. Predictors of escalated dose were African American race, lower comorbidity score, treatment at community centers, decreased income, and more remote treatment year. Median OS was 16.2 months and 15.8 months for the standard and dose-escalated cohorts, respectively (p = 0.35). On multivariable analysis, age >60 years, higher comorbidity score, treatment at community centers, decreased education, lower income, government insurance, Caucasian race, male gender, and more remote year of treatment predicted for worse OS. On propensity-adjusted multivariable analysis, age >60 years, distance from center >12 miles, decreased education, government insurance, and male gender predicted for worse outcome. Conclusion: Dose-escalated radiotherapy for GBM has decreased over time across the United States, in concordance with guidelines and the available evidence. Similarly, this large study did not discern survival improvements with dose-escalation.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.47 no.3
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• pp.76-82
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• 2010

In this paper, we develop Linguistic Model (LM) based on information granules as a systematic approach to generating fuzzy if-then rules from a given input-output data. The LM introduced by Pedrycz is performed by fuzzy information granulation obtained from Context-based Fuzzy Clustering(CFC). This clustering estimates clusters by preserving the homogeneity of the clustered patterns associated with the input and output data. Although the effectiveness of LM has been demonstrated in the previous works, it needs to improve in the sense of performance. Therefore, we focus on the automatic generation of linguistic contexts, addition of bias term, and the transformed form of consequent parameter to improve both approximation and generalization capability of the conventional LM. The experimental results revealed that the improved LM yielded a better performance in comparison with LM and the conventional works for automobile MPG(miles per gallon) predication and Boston housing data.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.60 no.1
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• pp.184-192
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• 2011

In this study, we introduce a identification methodology for FCM-based fuzzy model. The two underlying design mechanisms of such networks involve Fuzzy C-Means (FCM) clustering method and Particle Swarm Optimization(PSO). The proposed algorithm is based on FCM clustering method for efficient processing of data and the optimization of model was carried out using PSO. The premise part of fuzzy rules does not construct as any fixed membership functions such as triangular, gaussian, ellipsoidal because we build up the premise part of fuzzy rules using FCM. As a result, the proposed model can lead to the compact architecture of network. In this study, as the consequence part of fuzzy rules, we are able to use four types of polynomials such as simplified, linear, quadratic, modified quadratic. In addition, a Weighted Least Square Estimation to estimate the coefficients of polynomials, which are the consequent parts of fuzzy model, can decouple each fuzzy rule from the other fuzzy rules. Therefore, a local learning capability and an interpretability of the proposed fuzzy model are improved. Also, the parameters of the proposed fuzzy model such as a fuzzification coefficient of FCM clustering, the number of clusters of FCM clustering, and the polynomial type of the consequent part of fuzzy rules are adjusted using PSO. The proposed model is illustrated with the use of Automobile Miles per Gallon(MPG) and Boston housing called Machine Learning dataset. A comparative analysis reveals that the proposed FCM-based fuzzy model exhibits higher accuracy and superb predictive capability in comparison to some previous models available in the literature.

• Proceedings of KOSOMES biannual meeting
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• 2007.05a
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• pp.195-201
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• 2007

In order to forecast the location of drifting objects at sea around Mokpo, Korea, the simulations were conducted with the input data of natural factors such as direction and force of wind and tidal current using SARMAP which is one of useful simulation tools for search and rescue at sea. Comparing the observed data with the calculated data of tidal currents used in SARMAP, the calculated tidal currents of SARMAP were in good agreement with the observed tidal currents. With regard to the case of marine casualties which occurred at sea around Daeheuksan-Do in July, 2006, the difference between the location of drifting body simulated by SAR model of Mokpo District Coast Guard and the location simulated by SARMAP was found to be about 20 nautical miles.