• Journal of Global Scholars of Marketing Science
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• v.18 no.1
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• pp.81-114
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• 2008

The purpose of this study was to analyze how economic factors (economic satisfaction, economic conflict) and non-economic factors (non-economic satisfaction, non-economic conflict) differentially influence Korean retailers' long-term orientation with manufacturers, and how they are influenced by manufacturers' power sources under different levels of retailer dependence. After Korean retailers were divided into high and low dependence groups, path differences between the two groups were compared. The results suggested that manufacturers' coercive and non-coercive power sources do not differentially influence high and low dependence retailers' economic and non-economic satisfaction, and economic and non-economic conflict. However, the economic satisfaction of low dependence retailers more strongly affects their long-term orientation than that of high dependence retailers. Also, the economic conflict of highly dependent retailers more strongly affects their long-term orientation as compared to low dependence retailers. Finally, the impact of non-economic conflict negatively influences a long-term orientation for both retailer groups.

• International Commerce and Information Review
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• v.12 no.2
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• pp.183-211
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• 2010

This paper empirically investigated whether the dependence of manufacturing firms effects the influence strategies and long-term orientation based on the data from manufacturing firms in Korea. U.S., and Japan. Also, the proposed model was proven by the structural equation model with the data gathered from 105 manufacturing firms in Korea, 103 in U.S., and 83 in Japan. The findings were as follows. First, the dependence of all of manufacturing firms, regardless of country, positively affected the coercive influence strategies of distributors, whereas the dependence positively affected the noncoercive influence strategies in U.S. and Japan but in the case of Korea, it showed the reverse direction and were not statistically significant. Second, the dependence of Korean manufacturing firms positively affected the long-term orientation but American manufacturing firms showed the reverse direction and it was not statistically significant. In the case of Japanese manufacturing firms, the direction predicted in the paper was shown but was not statistically significant. Third, the coercive influence strategies positively affected the long-term orientation in Korea but it showed the negative relationship in Japan. Fourth, the noncoercive influence strategies positively affected the long-term orientation in all countries. Lastly, a few implications, limitations and future study issues were discussed.

• Journal of Internet of Things and Convergence
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• v.6 no.4
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• pp.39-48
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• 2020

This study intends to the estimate the determinants and state dependence of long-term care services in Korea. For this purpose, we analyzed the transition patterns among three states of long-term care service utilization over time by using the Korea Welfare Panel Study data with the random effect multinomial logit model. It is found that the result showed a strong state dependence in long-term care service utilization. Especially, long-term care insurance for the elderly showed a strong state dependence among others. Among the individual demographic characteristics, the higher the age, the higher the probability of using long-term care insurance for the elderly, while the lower the probability when married. The characteristics of the residential region showed that the residents of the urban-rural integrated region had a significantly higher probability of using long-term care insurance than the reference region. The results of this study suggest that the long-term care service users have a strong state dependence, which means that it is important to take into account the increase in the utilization period of existing users in future demand forecasting.

• Journal of Sensor Science and Technology
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• v.21 no.6
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• pp.420-424
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• 2012

We have investigated temperature dependence and long-term change of humidity measurement from 32 relative humidity sensors. The readings of the humidity sensors depended not only the reference humidity, but also temperature of the chamber. Approximately, the temperature dependence of the humidity sensor in average was 0.05 %R.H./$^{\circ}C$ in the temperature range from $5^{\circ}C$ to $55^{\circ}C$. For humidity sensors that have an internal temperature compensation circuit, the resulting temperature dependence was weaker by 20%. It should be also noted that for the humidity sensors used in this work underwent ${\pm}3$ %R.H. change per year for level of confidence of 95%. The users of relative humidity sensors may refer this value as a minimum change when they set the calibration interval of the humidity sensors.

• Journal of the Korean Operations Research and Management Science Society
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• v.33 no.4
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• pp.13-30
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• 2008

We explore the determinants of long-term relationship between the buyer and the supplier to help suppliers develope a strategy to build long-term relationship with their buyers. Based upon an extensive literature review, we propose three droops of independent variables which may affect long-term relationship, including (a) environmental factors (product complexity, product importance, source dependence, price sensitivity), (b) relational factors(trust, commitment, satisfaction, intention of expansion), (c) operational performance(quality, delivery, cost capability, technical knowhow). The buyer's actual period of relationship with its main supplier is used as a dependent variable. Using hierarchical multiple regression analysis, we empirically test hypotheses, analysing a sample of 290 manufacturing firms in the U.S. The statistical results indicate that the buyer's source dependence, price sensitivity and the supplier's commitment play a significant role in establishing long-term relationship between the buyer and the supplier. However, the supplier's cost capability and technical knowhow in operational performance negatively affect long-term relationship in contrast with our hypotheses. Due to this controversial result, we divide the sample group Into dual sourcing and multiple sourcing environments and reconduct regression analysis in a post hoc manner. The findings show that the supplier's cost capability and technical knowhow are negatively associated with the length of relationship only in the multiple sourcing environment. The results may confirm that both parties' opportunistic behavior is more salient in the multiple sourcing environment than in the single sourcing environment.

• International journal of advanced smart convergence
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• v.12 no.4
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• pp.88-97
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• 2023

Traffic flow prediction is of great significance in urban planning and traffic management. As the complexity of urban traffic increases, existing prediction methods still face challenges, especially for the fusion of spatiotemporal information and the capture of long-term dependencies. This study aims to use the fusion model of graph neural network to solve the spatio-temporal information fusion problem in traffic flow prediction. We propose a new deep learning model Spatio-Temporal Information Fusion using Graph Neural Networks (STFGNN). We use GCN module, TCN module and LSTM module alternately to carry out spatiotemporal information fusion. GCN and multi-core TCN capture the temporal and spatial dependencies of traffic flow respectively, and LSTM connects multiple fusion modules to carry out spatiotemporal information fusion. In the experimental evaluation of real traffic flow data, STFGNN showed better performance than other models.

• Journal of Korean Academy of Nursing
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• v.42 no.4
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• pp.466-476
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• 2012

Purpose: The purpose of this study was to explore characteristics of eating behavior according to level of functional status of elders with dementia (EWD), and to examine feeding time, change in food intake and body mass index (BMI) according to eating behavior. Methods: Participants were 149 EWD residing in long-term care facilities located in Seoul or Gyeonggi province and evaluated using the Mini-Mental State Exam-Korean version, Korean version-Activities of Daily Living, and Eating Behavior Scale (EBS). Feeding time, change in food intake, and BMI were also measured. Data were analyzed using SPSS 17.0, specifically descriptive statistics, ANOVA, and Chi-square test. Results: Participants' mean EBS score was $10.43{\pm}6.01$ and half of them (54.4%) needed moderate or total assistance while eating. The EBS score was significantly lower for elders with severe dementia compared to those with mild or moderate dementia; and elders with severe ADL dependence compared to those with mild or moderate ADL dependence. Lower EBS scores were related to longer feeding time, a greater the rate of participants with decreased food intake and 'underweight' BMI. Conclusion: Nursing intervention programs which are designed for EWD are needed to maintain functional eating skills and prevent negative consequences in this population.

• Health Policy and Management
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• v.20 no.4
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• pp.126-138
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• 2010

Objectives : The purpose of this study is to evaluate the effects of assistive products usage on activity of daily living for the beneficiary older adults people in Korean long-term care insurance system. The study subjects were divided to assistive products users and non-users among the beneficiary older adults based on Korean long-term care insurance system to compare function improvement of the activity of daily living. Methods : In national wide 12 community elderly care center enrolled the National Health Insurance Corporation, The numbers of 281 beneficiary older adults(long-term care Grade I: 66, Grade II: 58, Grade III: 157) participated in this study. This survey assessment tool for activity of daily living was used the long-term care assessment instrument of the physical functions in the law of Korean long-term care insurance. The function items of Activity of daily living were included in clothing, washing, tooth brushing, bathing, eating, posture converting, stand sitting, move sitting, out of room, using toilet, controlling of stool, controlling of urine, washing hair. According to independence to complete dependence functioning level, remarks pointed 1 to 3 points. The data were analyzed by chi-square, two-way anova using SPSS V. 12.0. Results : The results appeared that the mean score of the functions in activity of daily living of assistive products users was a 27.60, and that of non-users was a 30.66. Assistive products were not effected in Grade I and II recipients, but that effected in Grade III recipients. Conclusion : Preparing for activation of assistive products based Korean long-term care insurance system, the result application as follows is possible. The usage of assistive products could improve the function of daily living activity in older adults. Related to Grade III beneficiary elderly people were improved function in activity of daily living by using assistive products, it is necessary to extend coverage the non-eligible elderly people in Korean long-term care insurance system.

• Communications for Statistical Applications and Methods
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• v.9 no.3
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• pp.577-594
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• 2002

For the estimation and test of long memory feature in volatilities of stock indices and individual companies semiparametric approach, Geweke and Porter-Hudak (1983), is employed. Empirical study supports the strong evidence of volatility persistence in Korean stock market. Most of indices and individual companies have the feature of long term dependence of volatility. Hence the short memory models are unable to explain the volatilities in Korean stock market.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.516-518
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• 2022

In this paper, we introduce a dependence of number of nodes of hidden-layer in fall detection system using Long Short-Term Memory that can detect falls. Its training is carried out using the parameter theta(θ), which indicates the angle formed by the x, y, and z-axis data for the direction of gravity using a 3-axis acceleration sensor. In its learning, validation is performed and divided into training data and test data in a ratio of 8:2, and training is performed by changing the number of nodes in the hidden layer to increase efficiency. When the number of nodes is 128, the best accuracy is shown with Accuracy = 99.82%, Specificity = 99.58%, and Sensitivity = 100%.