• Journal of the Korea Safety Management & Science
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• v.12 no.1
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• pp.51-57
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• 2010

Cycling that transform human energy into mechanical energy is one of the man-machine systems out of sports fields. Benchmarking means "improving ourselves by learning from others', therefore benchmarking toward dominant cyclist is necessary on field. The goals of this study were to provide important factors on multi-disciplines (kinematics, physiology, power, psychology) for a tailored-training program that is suitable to individual characteristics. Two cyclists participated in this study and gave consent to the experimental procedure. One was dominant cyclist (years: 21 yrs, height: 177 cm, mass: 70 kg), and the other was non-dominant cyclist (years: 21, height: 176, mass: 70). Kinematic data were recorded using six infrared cameras (240Hz) and QTM (software). Physiological data (VO2max, AT) were acquired according to graded exercising test with cycle ergometer and power with Wingate test used by Bar-Or et. al (1977) and to evaluate muscle function with Cybex. Psychological data were collected with competitive state anxiety inventory (CSAI-2) that was devised by Martens et. al (1990) and athletes' self-management questionnaire (ASMQ) of Huh (2003). It appears that the dominant's CV of ankle joint angle was higher than non-dominant's CV and dominant's pedaling pattern was consistent in biomechanics domain, which the dominant's values for all factors ware higher than non-dominant's values in physical, and physiological domain, and their values between cognitive anxiety and somatic anxiety were contrary to each other in psychology. Further research on multi-disciplines may lead to the development of tailored-optimal training programs applicable with key factors to enhance athletic performance by means of research including athlete, coach and parents.

• Journal of Oral Medicine and Pain
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• v.40 no.4
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• pp.155-162
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• 2015

Purpose: The association between pain and sleep is described as a vicious cycle and psychological distress is well known as comorbid condition in the patients with pain and sleep problems. The aim of the study was to evaluate the prevalence of self-reported sleep disturbance and its relationship to clinical and psychological profiles in temporomandibular disorder (TMD) patients. Methods: The sample consisted of 123 TMD patients (90 women and 33 men), with a mean age of $39.9{\pm}15.4years$. Self-report measures of sleep quality, pain and psychological profile were conducted via the Pittsburgh Sleep Quality Index (PSQI), the Brief Pain Inventory and the Symptom Checklist-90-Revision at the initial visit. The primary diagnosis of TMD were categorized as TMD with internal derangement without pain, TMD with joint pain, TMD with muscle pain and TMD with joint-muscle combined pain. The chi-square test, independent t-test, oneway ANOVA and multiple linear regression analysis were used for statistics. Results: The patients was grouped as good sleepers (n=32, scores of 5 and lower) and poor sleepers (n=91, scores of 6 and higher) according to the recommended cutoff point of the global PSQI score (>5). TMD patients with pain showed poor sleep quality than TMD patients with internal derangement without pain. Poor sleepers had high pain interference and elevated psychological distress. Among them, pain interference and depression were significant predictors to sleep quality. Conclusions: The results suggest that sleep disturbance is a prevalent complaint in TMD patients, and sleep problems in TMD patients are associated with pain and psychological distress.

• Proceedings of the Technology Innovation Conference
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• 1999.12a
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• pp.281-295
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• 1999

This paper analyses the effects of the increase of logistics outsourcing on the economy which are largely classified into three parts. The firm level and industry level are two among them which will be summarized below. The another is consumers level. On the fm level, the logistics outsourcing of a manufacturing firm not only helps to increase the efficiency of itself and but also confront the competitive environments by weakening the entry barriers, i.e., the emergence of contestable market. The reasons why the efficiency of the firm enhances are also largely divided into two parts. One is due to the reduction of inventory cost by replacing it by the information cost resulting from internet use. The other is owing to reducing the life cycle of production process by the emergence of virtual enterprises which are located in one point in De process of supply chain management. The weakening of entry barriers is directly affected by the drastic increase of internet users in twofold reasons: one is based on the restricted competitive characteristics due to the long-term transaction relationship between logistics providers and the companies who offer logistics services and the other, due to the weakening of the restriction of space and time. The effect of industry level is due to the transition of traditional to virtual vertical integration system The firms corresponding to a connection point in the process of supply chain management would try to realize both the scale of economy and the scope of economy for strengthening the competitiveness. We indicated above the emergence of contestable market however, it is a short-term phenomenon and result in the oligopoly market due to the entry barriers in the long-run sense.

• The Research Journal of the Costume Culture
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• v.15 no.1 s.66
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• pp.1-12
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• 2007

The purpose of this study is to identify the SPA(Specialty store retailer of Private label Apparel) characteristics and product supply process of Korean casual apparel brands. The research was conducted by questionnaire surveys to 63 casual apparel brands. SPA characteristics of each brand were measured with four SPA characteristic indices: short product supply cycle, spacious retail floor, single brand retail store, and low product price compared to the quality of the product. The 63 apparel brands were grouped by SPA index score. The brands belonged to group H had high index score and brands in group L had low index score. The results of this study showed that the most of the casual apparel brands' products were sold at department stores, especially the brands belonged to group L greatly depended on department stores. Few apparel brands have spacious retail floor. The retail product price of the brands belonged to group H was low price while the product price of the brands belonged to group L was in the medium-high price. The supply time of the new products was short in general. The most brands supplied new styles to the retail floor within 1 to 3 weeks. The information technology was heavily used. The brands belonged to group H highly used information technology including bar codes system, pas data analysis, and inventory control system. The current style trends were analyzed with street fashion and feedback from the shop managers.

• Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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• v.2 no.1
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• pp.35-40
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• 2004

Final disposal of radioactive waste generated from Nuclear Power Plant (NPP) requires the detailed information about the characteristics and the quantities of radionuclides in waste package. Most of these radionuclides are difficult to measure and expensive to assay. Thus it is suggested to the indirect method by which the concentration of the Difficult-to-Measure (DTM) nuclide is estimated using the correlations of concentration - it is called the scaling factor - between Easy-to-Measure (Key) nuclides and DTM nuclides with the measured concentration of the Key nuclide. In general, the scaling factor is determined by the log mean average (LMA) method and the regression method. However, these methods are inadequate to apply to fission product nuclides and some activation product nuclides such as 14$^{C}$ and 90$^{Sr}$ . In this study, the artificial neural network (ANN) method is suggested to improve the conventional SF determination methods - the LMA method and the regression method. The root mean squared errors (RMSE) of the ANN models are compared with those of the conventional SF determination models for 14$^{C}$ and 90$^{Sr}$ in two parts divided by a training part and a validation part. The SF determination models are arranged in the order of RMSEs as the following order: ANN model

• Proceedings of the Safety Management and Science Conference
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• 2009.11a
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• pp.15-24
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• 2009

Cycling that transform human energy into mechanical energy is one of the man-machine systems out of sports fields. Benchmarking means " improving ourselves by learning from others ", therefore benchmarking toward dominant cyclist is necessary on field. the goals of this study were to provide important factors on multi-disciplines (kinematics, physiology, power, psychology) for a tailored-training program that is suitable to individual characteristics. Two cyclist participated in this study and gave consent to the experimental procedure. one was dominant cyclist (years:21 yrs, height:177 cm, mass:70 kg), and the other was non-dominant cyclist(years:21, height:176, mass:70). Kinematic data were recorded using six infrared cameras (240Hz) and QTM (software). Physiological data (VO2max, AT) were acquired according to graded exercising test with cycle ergometer and power with Wingate test used by Bar-Or et. al ( 1977) and to evaluate muscle function with Cybex. Psychological data were collected with competitive state anxiety inventory (CSAI-2) that were devised by Martens et. al (1990) and with athletes' self-management questionnaire (ASMQ) of Huh (2003). It appears that the dominant's CV(coefficient of variability) was higher than non-dominant's CV in Sports Biomechanics domain, that the dominant's values for all factors ware higher than non-dominant's values in physical, and physiological domain, and their values between cognitive anxiety and somatic anxiety were contrary to each other in psychology. Further research on multi-disciplines may lead to the development of tailored-optimal training programs applicable with key factors to enhance athletic performance by means of research including athlete, coach and parents.

• Proceedings of KOSOMES biannual meeting
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• 2008.05a
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• pp.11-17
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• 2008

As of Jan. 2006, numbers of korean registered ocean-going vessels reached 546 which amounted to 13,716,733 G/T. Vessels, generally spooking, finish her life cycle and are dismantled or recycled. However, most of these activities have been done in undeveloped countries instead of in developed countries as the environmental restrictions in developed countries get more strict, accordingly international bodies adopted shipbreaking-related guidelines and prohibit transboundary of obsolete ships, taken as one of wastes. The authors made the Working Guidelines on Shipbreaking to cope with substandard working environment and reduce the environmental damage, and came up with a method to make a inventory of hazardous materials for effective control, finally framed a draft of Environmentally Sound Ship Recycling examining related international conventions such as Basel Convention, IMO Guideline, ILO Guideline and IMO new Convention(draft) on shipbreaking and recycling.

• Journal of ILASS-Korea
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• v.23 no.4
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• pp.175-184
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• 2018

Emission characteristics of regulated (NOx, PM, CO, NMHC) and unregulated (VOCs, aldehydes, PAHs) air pollutants were investigated for diesel heavy duty buses equipped with different after-treatment systems (DPF+EGR and SCR) under urban driving cycle. The combustion temperature and the working temperature of SCR catalysts were important to make impact on NOx emissions, whereas PM emissions were low. The alkane groups dominated NMVOCs emissions, making 42.6~59.4% of sum of the NMVOCs emissions. Especially, alkane emissions of DPF+EGR-equipped vehicle included DOC had 14.9~15.5% higher than those of SCR-equipped vehicle due to low efficiency of oxidation catalyst. In the case of individual NMVOCs, n-nonane and propylene emissions highly occupied for DPF+EGR and SCR, respectively. Formaldehyde emissions among aldehydes were the highest and PAHs emissions were hardly detected except naphthalene and phenanthrene. The NMHC speciation has been shown to be the highest of the formaldehyde ranged 20.8~21.5%. The results of this study will be contributed to establish Korean HAPs emission inventory for automobile source.

• Journal of Korean Clinical Nursing Research
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• v.28 no.1
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• pp.76-87
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• 2022

Purpose: The purpose of this study was to examine the psychological distress related to quality of life (QoL) of patients with colorectal cancer receiving 5-fluorouracil (5-FU) chemotherapy at home with disposable Elastomeric infusion pumps. Methods: In this study, 179 colorectal outpatients were recruited between September 2019 and January 2021. National Cancer Center Psychological Symptom Inventory scores, general self-efficacy, and the EORTC QLQ-C30 scores were measured. Data were analyzed using Independent t-test, One-way ANOVA with Bonferroni post hoc analysis, and hierarchical multiple linear regression with the SPSS/WIN 26.0 programs. Results: The overall prevalence of psychological distress was 52.0% in colorectal patients. In multiple regression, psychological distress (β=-.20, p=.005), appetite loss (β=-.20, p=.001), chemotherapy cycles (β= .19, p=.002), fatigue (β=-.16, p=.035), physical functioning (β=-.16, p=.024), and emotional functioning (β=-.15, p=.025) were significant factors of QoL, and the final model explained 45.0% of the total variance of QoL. Conclusion: Supporting patients toward decreased psychological distress and increased physical and emotional functioning, especially in the first or second cycle of chemotherapy, could be used to improve their QoL. To consider the thresholds for clinical importance, it is necessary to increase the interpretation of psychological distress in clinical practice and further research.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.11
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• pp.1525-1530
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• 2021

By applying AI-based efficient inventory management and logistics optimization technology using the smart factory's production plan and manufacturing data, the company's productivity improvement and customer satisfaction can be expected to increase. In this paper, we proposed a system that collects data from the factory's production process, stores it in the cloud, and uses the manufacturing data stored there to apply AI-based supply chain optimization technology later. While the existing system supported approximately 10 to 20 data types, the proposed system is designed and developed to support more than 100 data types. In addition, in the case of the collection cycle, data can be collected 1-2 times per second, and data collection in TB units is possible. Therefore This system is designed to be applied to the existing factory of past in addition to the smart factory.