• Proceedings of the KIEE Conference
• /
• 2011.07a
• /
• pp.686-687
• /
• 2011

In this paper, the method on calculating benefits of combined heat and power is introduced for standard evaluation in electrical power system. This paper calculates benefits about new national viewpoint and viewpoint of independent power producers and assesses benefits of combined heat and power in Korea and In Seoul national capital area. Benefit costs are composed of avoid cost of centralized generation, line upgrading adjustment, loss adjustment and electrical power trade cost per year in earlier study, in addition trade cost of CO2, construction cost of combined heat and power for accurate calculation. Benefit of combined heat and power is calculated by simulation results of real electrical power system.

• Journal of the Korean Society for Precision Engineering
• /
• v.21 no.4
• /
• pp.79-87
• /
• 2004

The light pattern reflected from a machined surface contains some information like roughness and profile on the projected surface as expected in the Beckmann-Spizzichino model. In applying the theory into a real reliable measuring device, many parameters such as incident light power, wave length, spot size should be kept a constant optical value. However, the reflected light power is likely to change with the environmental noise, the variations of the light source, the reflectivity of the surface, etc. even though the incident light power is constant. In this study, a method for adjusting the incident light power to keep the reflected light power projected on a CMOS image sensor constant was proposed and a simple adjustment algorithm based on PI digital control was examined. Experiments verified that the proposed method made the surface roughness measurement better and more reliable even under variations of the height of light source.

• The Korean Journal of Health Service Management
• /
• v.7 no.2
• /
• pp.125-134
• /
• 2013

The purpose of this study was to identify the influencing factors of college adjustment in nursing students. A quantitative descriptive design was used to study 400 nursing students in Busan and Ulsan, recruited from May 1 to 30, 2011. The instruments used were the clinical stress scale, stress coping scale and college adjustment problem checklist. The data were analysed SPSS program, using descriptive statistics, Pearson correlation coefficient, and simultaneous multiple regression. Findings of the study can be summarized as follows; First, the average of clinical stress was 3.68 points, the problem-solving coping was 2.85 points, the emotional-focused coping was 2.48 points, and college adjustment was 3.03 points. Second, The correlation of the clinical stress and college adjustment relations showed negative correlation in all areas. The correlation of problem-solving and emotional-focused coping and college adjustment showed positive correlation. Third, The significant predictors of college adjustment were satisfaction in major, psychological factors, problem-solving coping, perceived health status, emotional-focused coping, knowledge, skills, assignment/reports. These variables showed explanatory power of 43.2%. The study suggested to help reduce clinical stress and to strengthen problem-solving coping for college adjustment in nursing students.

• Proceedings of the KIPE Conference
• /
• 2010.07a
• /
• pp.536-537
• /
• 2010

If DC voltage adjustment can be controlled very easily, it is much more effective rather than AC in transmission efficiency. The main reason why DC is more effective than AC, DC has the same role as the 70[%] of AC whenever the same power send. In addition, AC streams the surface of electrical wire, but DC streams overall of electrical wire. Digital load, which is operated by DC, has increased in modern times. The step of convert of AC-DC has to be reduced. When we turn the dispersed AC-DC converters into the concentrated AC-DC converter, it can improve the effective of the whole system. Further more, if digital society develops more than now and the time of electric vehicle comes, the need of DC will increase much more than these days. This paper suggests that DC output of distributed power source and high efficient 3 phase PWM converter can control the adjustment of output voltage, harmonic restraint, power factor improvement and dump power.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
• /
• 1996.04a
• /
• pp.221-226
• /
• 1996

Structural vibrations of adjacent buildings, manufacturing factories and engines on the stationary diesel power plant were increased by the variation of phase angle between two engines sometimes. In this paper, top bracings and synchrophaser have been introduced in order to reduce these vibrations. As a result, all of structural vibrations were greatly improved by the phase adjustment of 6th order X-mode vibration with these.

• IEMEK Journal of Embedded Systems and Applications
• /
• v.6 no.2
• /
• pp.55-61
• /
• 2011

We propose power-saving real-time scheduling method for mixed task sets which consist of both time-based periodic and event-based aperiodic tasks in the automotive operating system. In this system, we have to pursue maximization of power-saving using the slack time estimation and minimization of response time of aperiodic tasks simultaneously. However, since these two goals conflict each other, one has to make a compromise between them according to the given application domain. In this paper, we find the adjustment factor which gives better response time of aperiodic tasks with slight power consumption increase. The adjustment factor denotes the gravity of response time for aperiodic tasks. We apply the ccEDF scheduling for time-based periodic tasks and then calculate new utilization to be applied to the adjustment factor. In this paper, we suggest the lccEDF algorithm to make a tradeoff between the two goals by systematically adjusting the factor. Simulation results show that our approach is excellent for variety of task sets.

• Journal of Technologic Dentistry
• /
• v.42 no.4
• /
• pp.362-371
• /
• 2020

Purpose: The following study seeks to ascertain the motivations behind students' academic major selection and to identify the obstacles they encounter in the transition to university life, with the objective of providing information necessary to adapt well to the university and the course. Thereby, we aim to supply basic resources needed in the development of a university adaptation program to prevent academic dropout. Methods: Between October 1, 2019 and November 29, 2019, a self-administered questionnaire was distributed to a study sample consisting of students currently attending dental technology courses in Gangwondo and Gyeonggido. A total of 474 (94.8%) responses to the questionnaire were received and used for the final analysis. Results: Factors including major selection motivation, intrinsic motivation (p<0.001), academic adjustment (p<0.001), social adjustment (p<0.01), and institutional adjustment (p<0.05) all had negative relationships with academic dropout intention. Personal-emotional adjustment (p<0.001), however, showed a positive relationship with dropout intention. The explanatory power of the model was found to be 50.0%. Conclusion: This research shows that intrinsic motivation and personal-emotional adjustment diminish academic dropout intention. Therefore, it is recommended that diverse postenrolment course-adjustment programs should be developed to improve students' confidence in their choice of study, their adjustment to the course, and their level of satisfaction.

• 대한공업교육학회지
• /
• v.43 no.1
• /
• pp.41-57
• /
• 2018

The purpose of this study is to help research and application about effective strategies to improve school adjustment of students by investigating the influence of specialized vocational high school students' emotional intelligence on school adjustment. A survey was conducted to 760 engineering major students at the vocational high schools from 18 vocational high schools of 5 major metroplex. A questionnaire consists of measurement tool for emotional intelligence (40 questions) and one for school adjustment (20 questions). The findings of this study are as follows: First, students with high emotional intelligence showed a higher level of school adjustment than students with lower emotional intelligence, and they also has a higher standard in all sub factors of school adjustment, Second, it is found that the explanatory power of emotional intelligence on school adjustment is 33.6%. It means the higher the emotional intelligence of the students, the higher the school adjustment, so it can be seen that emotional intelligence might be one alternative that increases school adjustment for specialized vocational high school students. Furthermore, emotional intelligence shows the greatest explanatory power to peer relationship in school adjustment sub factors. This is showed that students with high emotional intelligence have good peer relationship than students with lower emotional intelligence relatively. Also, it can be known that school adjustment is high because the better peer relationship is, the higher self-efficacy, class immersion, resilience and so on are.

• Journal of The Korean Society of Integrative Medicine
• /
• v.12 no.1
• /
• pp.97-108
• /
• 2024

Purpose : In this study, we aimed to determine the impact of the COVID-19 pandemic on nursing students' adjustment to college life by focusing on their empathic ability, perceived stress, and resilience. Methods : We applied a descriptive survey research design, which included a self-report questionnaire. The participants comprised 307 nursing students in B city. The data were analyzed by calculating the percentages, means, standard deviations, t-tests, ANOVA, Scheffé test, Pearson's correlation coefficients, and hierarchical regression using SPSS 23.0. Results : The participants' empathic ability score was 3.30±.42, perceived stress score 1.85±.49, resilience score 3.44±.64, and adjustment to college life score 3.25±.52. Adjustment to college life was positively correlated with resilience (r=.43, p<.001) but negatively correlated with perceived stress (r=.27, p<.001). Factors affecting adjustment to college life include, among general characteristics in Model 1, in descending order, major satisfaction-satisfied (β=.54, p<.001), interpersonal conflict: never (β=.26, p=.018), health status: healthy (β=.25, p=.002), character: positive (β=.21, p=.006), character: optimistic (β=.19, p=.015), parents' economic power: high (β=.15, p=.047), and gender: male (β=.11, p=.016). Model 1 was statistically significant (F=11.67, p<.001), and the explanatory power was 41 %. In Model 2, empathic ability, perceived stress, and resilience were added as independent variables. When including the dependent variables, the factors that most influenced adjustment to college life were perceived stress (β=-.37, p<.001), major satisfaction-satisfied (β=.36, p<.001), health status-healthy (β=.25, p<.001), gender-male (β=.10, p=.015), and resilience (β=.10, p=.029). Model 2 was statistically significant (F=17.65, p<.001), and the explanatory power was 56 %. Conclusion : We found that gender, major satisfaction, health status, perceived stress, and resilience affected adjustment to college life among nursing students who had experienced the COVID-19 pandemic. To increase their ability to adjust to college life, a gender-specific intervention program should be developed that can improve the students' health status, major satisfaction and resilience, and reduce their perceived stress.

• JOURNAL OF ELECTRICAL WORLD
• /
• no.5 s.149
• /
• pp.14-21
• /
• 1989