• The Journal of Fisheries Business Administration
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• v.33 no.2
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• pp.75-98
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• 2002

As a contribution to developing fishery stock assessment, optimum sustainable yield and its international standards such as MSY, MEY, and dynamic MEY for six recommended fisheries are developed using bio-economic models. For selecting the appropriate model, five models - Schaefer, Schnute, Walters and Hilborn, Fox, and CY&P models are tested in effort and catch data of six species. Surprisingly all the models except the CY&P model failed to satisfy statistical standards such as goodness-of-fitness and reliability. Generally, the CY&P model holds good fitness and statistically significant level for all of six fisheries. However, the CY&P model for squid, where the intrinsic growth rate is high, could not explain MSY, MEY, and dynamic MEY appropriately. This study makes a contribution to develop the modified model for the intrinsic growth rate of 1. The reformulated model represents the results reasonably even though the estimated equation has not good fitness. Although most of the CY&P models appear to have good fits and validated results for some cases, these models also seem to be quite sensitive to parameters which means a more stable model should be developed and data should carefully be handled. In particular biological and technical interactions such as multispecies, predator prey relationship, age structure and mortality should be taken into account. In addition, economic factors and fishing efforts such as price, cost, technical change and a reasonable function of fishing input should simultaneously be considered.

• Proceedings of the International Microelectronics And Packaging Society Conference
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• 2001.04a
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• pp.27-34
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• 2001

The BGA Package has been the area array package of choice for several rears. Recently, the transition has been to finer pitch configuration called Chip Scale Packages (CSP). Several of these package types are available at 0.5 mm pitch, requiring surface mount assemblers to evaluate and optimize various elements of the assembly process. This presentation describes the issues associated with making the transition from BGA to CSP assembly. Areas addressed will include the accuracy of pick and piece equipment, printed wiring board lines and spaces, PWB vias, in-circuit test issues, solder paste printing, moisture related factors, rework and reliability. The transition to 0.5 mm pitch requires careful evaluation of the board design, solder paste selection, stencil design and component placement accuracy. At this pitch, ball and board pad diameters can be as small as 0.25 mm and 0.20 mm respectively. Drilled interstitial vias are no longer possible and higher ball count packages require micro-via board technology. The transition to CSP requires careful evaluation of these issues. Normal paste registration and BGA component tolerances can no longer achieve the required process levels and higher accuracy pick and place machines need to be implemented. This presentation will examine the optimization of these critical assembly operations, contrast the challenges at 0.5 mm and also look at the continuation of the process to incorporate smaller pitch flip chip devices.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.9 no.3
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• pp.399-411
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• 2002

Purpose: This study was done to investigate the application of complementary and alternative therapies (CAT) in patients with chronic liver disease. and to analyze the Influence of health locus of control (HLOC) on CAT. Method: Questionnaires on CAT and a multidimensional health locus of control (MHLOC) scale developed by Wallston and Wallston were completed by 141 patients. Result: Analysis showed that 44.7% of the patients had experience with CAT and 49.2% of the patients reported being willing to use CAT. Reliability scores for the scale were HLOC-I 0.7376, HLOC-P 0.6383, HLOC-C 0.7351. The mean scores for the HLOC were HLOC-I 24.86, HLOC-P 22.86, HLOC-C 16.00. There were no significant differences in mean scores for HLOC between the patients who had used CAT and those who had not. Eight response Patterns for HLOC were identified. Among them, 'yea sayer' was the largest group (27.0%). A significant difference was found in the 'yea sayer' pattern between the group who had used CAT and the group who had not. Conclusion: CAT relates to various cognitive factors such as HLOC. Further study is needed to examine the influence of HLOC on CAT and its response patterns.

• The Research Journal of the Costume Culture
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• v.23 no.2
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• pp.228-241
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• 2015

The purpose of this study was to verify the effect of mobile fashion shopping characteristics and perceived interactivity on perceived usefulness, and the effect of perceived usefulness on purchase attitude and purchase intention based on TAM (Technology Acceptance Model). We conducted the survey targeting smartphone users in their 20s~30s living in Seoul and metropolitan area. Among 483 data collected, we used 452 samples except 31 unreliable respondents for the analysis. To analyze the structural equation model, we did factor analysis, reliability analysis, and structural equation model analysis using SPSS 18.0 and AMOS 16.0. The results were as follows: We confirmed 5 mobile fashion shopping characteristics (enjoyment, credibility, instant connectivity, security, and personalization) and 3 perceived interactivity factors (control, responsiveness and two-way communication, and contextual offer) as results of confirmative factor analysis. Mobile fashion shopping characteristics and perceived interactivity had positive effects on perceived usefulness. Mobile fashion shopping characteristics affected perceived interactivity and also had indirect effect on perceived usefulness via perceived interactivity. In other words, mobile fashion shopping characteristics had direct and indirect effect on perceived usefulness. Perceived usefulness influenced purchase attitude and purchase attitude influenced purchase intention. Perceived usefulness had direct effect on purchase intention and the indirect effect through purchase attitude was significant.

• Korean journal of food and cookery science
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• v.31 no.5
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• pp.635-641
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• 2015

This study considers the influence of the job satisfaction of employees at deluxe hotels and family restaurants on turnover intent, and seeks to analyze the moderating effects of company type (deluxe hotel and family restaurant) on the relationship between job dissatisfaction and turnover intent. Based on a total of 408 employees, this study reviewed the reliability and validity of the results obtained from empirical research using the Amos program. The hypothesized relationships in the model were tested simultaneously using structural equation modeling (SEM). The major findings are as follows. Job dissatisfaction was separated into five factors: the work itself, promotion, pay and benefits, supervision, and co-workers. The empirical results indicate that job dissatisfaction positively influences the turnover intent of employees. More specifically, the work itself (${\beta}=0.346$, p<0.001), and supervision (${\beta}=0.281$, p<0.001) significantly affects employees' turnover intent, whereas promotion, pay and benefits, and co-workers did not. Therefore, the turnover intent of employees at hotels and family restaurants decreased when they were motivated by strategies related to job dissatisfaction. In addition, the findings demonstrated that the company type moderated the effect of job dissatisfaction (e.g., co-worker) on turnover intent. Limitations and future research directions are also discussed.

• The KSFM Journal of Fluid Machinery
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• v.20 no.2
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• pp.47-52
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• 2017

In general industry, TFM(turbine flow meters) as measuring instruments having high reliability are widely used in the trade of petroleum and in the measurement of tap water and hot water. The TFM is performed calibration for using in the field and is mainly calibrated at room temperature. Since accuracy of TFM depends on Reynolds number of fluid, TFM is calibrated at same Reynolds number by changing flow rate. Furthermore, the TFM using a fluid of high temperature should have considered for other factors such as the thermal expansion of the parts and characteristics change is unknown changes in the turbine flow meter accordingly. In this paper, two turbine flowmeter are experimentally studied about characteristics change using the facilities which can change fluid temperature from 6 degree celsius to 90 degree celsius. As a result, the turbine flow meter can be calibrated to minimize the error characteristic at a similar temperature and the actual temperature.

• Journal of Korean Academy of Nursing
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• v.47 no.5
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• pp.589-599
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• 2017

Purpose: The purpose of this study was to develop a scale to assess the transition shock experienced by newly graduated nurses, and test the validity and reliability of the scale. Methods: The initial items were identified through a review of literature and in-depth interviews with nine newly graduated nurses. Content validation of the items was evaluated by five nurse professors and three nurses. Participants were 269 newly graduated nurses who worked at six acute care hospitals in Busan, Ulsan, and Yangsan, South Korea. Data were analyzed using item analysis, exploratory and confirmatory factor analysis, criterion related validity, and internal consistency. Results: The final scale consisted of 18 items and six factors (conflict between theory and practice, overwhelming workload, loss of social support, shrinking relationship with co-workers, confusion in professional nursing values, and incongruity in work and personal life), which explained 71.3% of the total variance. The six subscale model was validated by confirmatory factor analysis. Cronbach's alpha for the total items was. 89. Convergent validity was evaluated by analyzing total correlation with burnout (r=.71, p<.001) and turnover intention (t=5.84, p<.001). Conclusion: This scale can be used in the development of nursing interventions to reduce the transition shock experienced by newly graduated nurses.

• Culinary science and hospitality research
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• v.19 no.3
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• pp.18-32
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• 2013

This study attempts to 1) identify the dimensions of perceived value in the restaurant industry and 2) assess the effects of these dimensions on overall customer satisfaction and behavioral intent. With a total of 272 samples obtained from empirical research, this study reviews the reliability and fitness of the research model, and verifies a total of 4 hypotheses using the Amos program. The hypothesized relationships in the model were tested simultaneously using a structural equation model(SEM). The proposed model provided an adequate fit to the data:${\chi}^2$ 140.087(df 80), CMIN/df 1.751, RMR .060, GFI .937, AGFI .906, NFI .962, CFI .983, RMSEA .053. As a result of confirmatorical analysis, the quality value, emotional value and economical value were quantified as perceived value in fastfood restaurants. These factors were indicated to have influence on customer satisfaction and re-visit intention. Limitations and future research were also discussed.

• Journal of Ocean Engineering and Technology
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• v.27 no.2
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• pp.47-52
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• 2013

A subsea chemical injection system treats blockage problems in a subsea production system. It is important to treat problems quickly, because production delays cause fatal profit losses in a subsea production system. Therefore, the subsea industry requires a relatively higher reliability level for a production system compared to other industries. In this study, a subsea chemical injection system (linked to a control system) to inject chemicals into a subsea X-mas tree was analyzed. By using FSA (Formal Safety Assessment), the risk factors were defined and a quantitative risk analysis utilizing FTA (Fault Tree Analysis) and ETA (Event Tree Analysis) was performed. As a result, the effectiveness of a risk reduction option was evaluated.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.62 no.6
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• pp.870-875
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• 2013

After introducing diagnosis equipment power failure prevention activities for distribution system have become more active. To do facility diagnosis and maintenance work more efficiently we need to evaluate reliability for the system and should determine the priority line with appropriate criteria. Thus, to calculate risk factor for the power distribution line that are composed of many component facilities its historical failure events for the last 5 years are collected and analysed. The failure statics show that more than 60% of various failures are related to environment factors randomly and about 20% of the failures are refer to the aging. As a strategic evaluation system reflecting these environmental influence is needed, a system on the basis of the probabilistic approach related statical variables in terms of failure rate and failure probability of electrical components is proposed. The figures for the evaluation are derived from the field failure DB. With adopting Bayesian rule we can calculate easily about conditional probability query. The proposed evaluation system is demonstrated with model system and the calculated indices representing the properties of the model line are discussed.