• Ocean Systems Engineering
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• v.13 no.4
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• pp.385-399
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• 2023

A collision between a ship and an offshore platform may result in structural damage and closure; therefore, damage analysis is required to ensure the platform's integrity. This paper presents a damage assessment of a three-legged jacket platform subjected to ship collisions using the industrial finite element program Bentley SACS. This study considers two ships with displacements of 2,000 and 5,000 tons and forward speeds of 2 and 6.17 meters per second. Ship collision loads are applied as a simplified point load on the center of the platform's legs at inclinations of 1/7 and 1/8; diagonal bracing is also included. The jacket platform is modelled as beam elements, with the exception of the impacted jacket members, which are modelled as nonlinear shell elements with elasto-plastic material and constant isotropic hardening to provide realistic dented behavior due to ship collision load. The structural response is investigated, including kinetic energy transfer, stress distribution, and denting damage. The simulation results revealed that the difference in leg inclination has no effect on the level of localized denting damage. However, it was discovered that a leg with a greater inclination (1/8) resists structural displacement more effectively and absorbs less kinetic energy. In this instance, the three-legged platform collapses due to the absorption of 27.30 MJ of energy. These results provide crucial insights for enhancing offshore platform resilience and safety in high-traffic maritime regions, with implications for design and collision mitigation strategies.

• Korean Journal of Community Nutrition
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• v.8 no.6
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• pp.951-963
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• 2003

The purpose of this study was to investigate the eating behaviors, the self-perception of body images, the hematological indices and the nutrient intake of adolescent female athletes in Incheon. The subjects were 112 female athletes(track and fleld: n=32, target shooting: n=27, fencing n=29, swimming: n=14, badminton: n=10) from middle and high schools in Incheon. This cross-sectional study was conducted by means of a sol(-administered questionnaire. Fasting blood samples were obtained and analyzed for hemoglobin (Hb), hematocrit (Hct), ferritin, serum iron, mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration(MCHC), unsaturated iron binding capacity (UIBC), total iron binding capacity (TIBC) and transferrin saturation (TS). Nutrient intakes obtained by means of the 3 day-recall method were analyzed using the Computer Aided Nutritional Analysis Program. Statistical analysis was conducted using the SPSS 10.0 program. Most of the female athletes had dietary problems such as eating unbalanced meals, skipping meals, and preferences for processed foods. More than 60% of the female athletes skipped breakfast. As for perception of their body images, track and field athletes in particular, controlled their weights significantly better than the other athletes (p<0.05). With regard to their physical exertion during exercise, 56.3% of the swimmers and 31.3% of the track and field athletes answered “very hard”, which was a significant difference (p< 0.001). More than 80% of the female athletes experienced vertigo during exercise (p< 0.01). Also more than 50% of the female athletes, with the exception of the badminton players, had experienced irregular menstruation (p<0.05). The average serum iron levels (p<0.05), the serum ferritin levels (p<0.05) and TS (p<0.05) of the track and field athletes was significantly lower as compared to that of the other athletes. The nutrient intakes of the female athletes, with the exception of Vitamin B$_{6}$, niacin and phosphorus were lower than the Korean Recommended Daily Allowances (RDA). In particular, the calcium and iron intakes of the female athletes were under 50% of the Korean RDA. Therefore, proper nutritional education and supplementation are required for female athletes to encourage desirable eating habits, as well as to improve their nutritional status and exercise performances.s.

• Journal of the Korean Society of Tobacco Science
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• v.33 no.1
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• pp.28-38
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• 2011

This experiment was conducted as a part of Asia collaborative study on purpose of verifying the difference between CM6 and CM7 including 3R4F for reference. It carried out using various analytical categories for example, main stream, sidestream and Av. smoke. Additional analysis such as physical properties, blending ratio, combustibility and general leaf component analysis also implemented in order to investigate the difference. We complied with ISO standard and CORESTA recommended method during analytical operating procedures. In this study, we described that comparative analytical result for CM6 and CM7 known as reference or monitoring cigarettes including 3R4F for reference. All sample cigarettes were conditioned at $22^{\circ}C$, 60% relative humidity for 48 hours. Av. Smoke, MS and SS smoke analysis were performed over five times with two smoking condition, ISO and Health Canada with the exception of Av. smoke analysis. We complied with ISO standard method during analytical operating procedures. And, we conducted additional analysis, such as physical properties, blending ratio, combustibility and leaf component analysis also in order to investigate the difference. In conclusion, we found out some differences between CORESTA monitoring cigarette No. 6 and No 7. The smoke components such as total particulate matters, NFDPM, nicotine and carbon monoxide contents of CM7 were a little lower than CM6. And, these phenomena were the same as not only main stream smoke but also side stream smoke and Av. smoke. This tendency was consistent with ISO and Health Canada smoking condition. Besides, leaf constituents' color of CM7 was darker than CM6. In case of combustibility, it showed short combustion time approximately 30 seconds.

• Science of Emotion and Sensibility
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• v.7 no.3
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• pp.15-25
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• 2004

The regression analysis and Adaptive -Network based Fuzzy-inference system (ANFIS) were applied to the explanation on human's visual texture of cotton fabrics with 7 mechanical properties. The ANFIS uses the structure with fuzzy membership function and neural network. The results obtained by the statistical analysis through the coefficient of correlation and regression analysis showed that subjective texture had a linear relationship with mechanical properties. But It had a relatively low coefficient of determination and was difficult that the statistical analysis explained other relationship with the exception of a lineality and interaction among mechanical properties. Comparing the statistical analysis, the ANFIS was an effective tool to explain human's non-linear perceptions and their interactions. But to apply ANFIS to human's perceptions more effectively, it is necessary to discriminate effective input variables through controlling the properties of samples.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.10
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• pp.3989-4006
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• 2020

The intelligent agriculture monitoring is based on the perception and analysis of environmental data, which enables the monitoring of the production environment and the control of environmental regulation equipment. As the scale of the application continues to expand, a large amount of data will be generated from the perception layer and uploaded to the cloud service, which will bring challenges of insufficient bandwidth and processing capacity. A fog-based offline and real-time hybrid data analysis architecture was proposed in this paper, which combines offline and real-time analysis to enable real-time data processing on resource-constrained IoT devices. Furthermore, we propose a data process-ing algorithm based on the incremental principal component analysis, which can achieve data dimensionality reduction and update of principal components. We also introduce the concept of Squared Prediction Error (SPE) value and realize the abnormal detection of data through the combination of SPE value and data fusion algorithm. To ensure the accuracy and effectiveness of the algorithm, we design a regular-SPE hybrid model update strategy, which enables the principal component to be updated on demand when data anomalies are found. In addition, this strategy can significantly reduce resource consumption growth due to the data analysis architectures. Practical datasets-based simulations have confirmed that the proposed algorithm can perform data fusion and exception processing in real-time on resource-constrained devices; Our model update strategy can reduce the overall system resource consumption while ensuring the accuracy of the algorithm.

• Fisheries and Aquatic Sciences
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• v.6 no.3
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• pp.140-148
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• 2003

On the basis of factor analysis, stations were grouped according to their similar characteristics of seawater quality. The data for factor analysis were collected from the 15 stations from Dukryang Bay to Ulsan Bay on the southern cost of Korea. The study was based on the data from 1991 to 2000. The 8 water quality items analyzed were temperature, salinity, pH, DO, COD, DIN (dissolved inorganic nitrogen), DIP (dissolved inorganic phosphorus), and SS (suspended solid). Analysis of 6 water quality items including DO with the exception of temperature and salinity showed that 15 stations were grouped into two zones, i.e., the western and the eastern coast, by the axis of Samcheonpo-Jinju Bay-south of Geoje, 3 seawater zones in all. The adjacent stations to the southward or northward but not those to the eastward or westward were classified into the same group. On the analysis of all of the 8 water quality items, the stations of Dukryang Bay and Goheung; and those of Onsan and Ulsan Bay were classified into the same group. Yeosu and Namhae stations were sectioned into 1 group on the all seawater quality items but DIP, Samcheonpo and south of Geoje stations another group on all seawater quality items but water temperature, and Masan and Busan stations in the other group on all seawater quality items but DO. The stations from Dukryang Bay through Goheung to east of Geoje were grouped together on the COD item, and this showed somewhat different tendency in other seawater quality items.

• Journal of Fashion Business
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• v.6 no.5
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• pp.136-150
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• 2002

In this study, we proposed a method to be standing customers as the supporting system for the improvement of fashion garment industry which was the marginal growth getting into full maturity of market. As for the customer creation method of Fashion garment company is developing a marketing program to be standing customer as customer scoring to estimate a existing customer‘s buying power, and figure out minimum fixed sales of company to use a future purchasing predict. This study was a result of data from total sixty thousands data to be created for the 11 months from september. 2000 to July. 2001. The data is part of which the company leading the Korean fashion garment industry has a lot of a customer purchasing history data. But this study used only 48,845 refined purchased data to discriminate from sixty thousands data and 21,496 customer case with the exception of overlapping purchased data among of those. The software used to handle sixty thousands data was SAS e-miner. As the analysis process is put in to operation the analysis of the purchasing customer’s profile firstly, and the second come into basket analysis to consider the buying associations for Association goods, the third estimate the customer grade of Customer loyalty by 3 ways of logit regression analysis, decision tree, Artificial Neural Network. The result suggested a method to be estimate the customer loyalty as 3 independent variables, 2 coefficients. The 3 independent variables are total purchasing amount, purchasing items per one purchase, payment amount by one purchasing item. The 2 coefficients are royal and normal for customer segmentation. The result was that this model use a logit regression analysis was valid as the method to be estimate the customer loyalty.

• Journal of the Korean Society of Food Culture
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• v.23 no.2
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• pp.152-162
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• 2008

The objectives of this study were to: a) examine foreign customers’ satisfaction and expectations for the food and service attributes of Korean restaurants located in the U.S., b) measure the gap between the satisfaction and expectations for food and service attributes, c) analyze through IPA analysis the crucial attributes needing improvement in order to minimize the discrepancy between customers’ expectations and performance, and d) analyze the effects of factors related to the food and service attributes on overall customer satisfaction in regard to Korean restaurant selection. A total of 255 American customers who had visited four Korean restaurants located within metropolitan and rural areas of the U.S. were surveyed for this study. Statistical analyses, including t-tests, factor analysis, and multiple regression, were performed using the SPSS statistical package (12.0). The American customers’ overall satisfaction of the food and services offered by the Korean restaurants was relatively high, with the exception of tangible service attributes such as comfortable chairs, restroom cleanliness, and restaurant interior. The urban foreign customers, however, were dissatisfied with the use of healthful ingredients in Korean food, because their expectation level toward this aspect exceeded their satisfaction level. In terms of Korean restaurant selection, tangible services related to the restaurant facilities were identified as the critical factor having an effect on American customer satisfaction.

• Proceedings of the KSRS Conference
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• v.2
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• pp.831-835
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• 2006

NOAA/AVHRR data were used to analyze sea surface temperatures (SSTs) and thermal fronts (TFs) in the Korean seas. Temporal and spatial analyses were based on data from 1993 to 2000. Harmonic analysis revealed mean SST distributions of $10{\sim}25^{\circ}C$. Annual amplitudes and phases were $4{\sim}11^{\circ}C$ and $210{\sim}240^{\circ}$, respectively. Inverse distributions of annual amplitudes and phases were found for the study seas, with the exception of the East China Sea, which is affected by the Kuroshio Current. Areas with high amplitudes (large variations in SSTs) showed 'low phases' (early maximum SST); areas with low amplitudes (small variations in SSTs) had 'high phases' (late maximum SST). Empirical orthogonal function (EOF) analyses of SSTs revealed a first-mode variance of 97.6%. Annually, greater SST variations occurred closer to the continent. Temporal components of the second mode showed higher values in 1993, 1994, and 1995. These phenomena seemed to the effect of El $Ni{\tilde{n}}o$. The Sobel edge detection method (SEDM) delineated four fronts: the Subpolar Front (SPF) separating the northern and southern parts of the East Sea; the Kuroshio Front (KF) in the East China Sea, the South Sea Coastal Front (SSCF) in the South Sea, and a tidal front (TDF) in the West Sea. Thermal fronts generally occurred over steep bathymetric slopes. Annual amplitudes and phases were bounded within these frontal areas. EOF analysis of SST gradient values revealed the temporal and spatial variations in the TFs. The SPF and SSCF were most intense in March and October; the KF was most significant in March and May.

• Journal of Preventive Medicine and Public Health
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• v.33 no.1
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• pp.125-133
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• 2000

Objectives : This study uses meta-analysis methodology to examine the statistical consistency and importance of random variation among results of epidemiologic studies of occupational electromagnetic field exposure and leukemia. Methods : Studies for this meta-analysis were identified from previous reviews and by asking researcher active in this field for recommendations. Overall, 27 studies of occupational electromagnetic field exposures and leukemia were reviewed. A variety of meta-analysis statistical methods have been used to assess combined effects, to identify heterogeneity, and to provide a single summary risk estimate based on a set of simiar epidemiologic studies. In this study, classification of exposure metircs on occupational epidemiologic studies are reported for (1) job classification (20 individual studies); (2) leukemia subtypes (13 individual studies); and (3) country (27 individual studies). Results : Results of this study, an inverse-variance weighted pooling of all the data leads to a small but significant elevation in risk of f 1% (OR=1.11, 95% CI : $1.06\sim1.16$) among 27 occupational epidemiologic studies. Publication bias was assessed by the 'fail-safe n' that may be not influence for all combined results exception a few categories, ie, 'power station operators' and 'electric utility workers' by job classification on occupational study. And ail combined odds ratio results were similar for fixed-effects models and random-effects models, with slightly higher risk estimates for the random-effects model in situations where there was significant heterogeneity, ie, Q-statistic significant (p<.05). Conclusions : We found a small elevation in risk of leukemia, but the ubiquitous nature of exposure to electromagnetic fields from workplace makes even a weak association a public health issue of substantial power to influence the present overall conclusion about relationship between electromagnetic fields exposure and leukemia.