• Journal of Fashion Business
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• v.27 no.5
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• pp.121-134
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• 2023

With the development of information and communication technology, interest in new educational approaches that can enhance the learning performance of learners with improved information literacy skills is increasing, and universities are actively promoting educational innovation to foster the talents required by society. In the field of fashion studies education, which is closely related to the fashion industry, there is a strong need to develop field-linked educational programs that reflect the trends in the industry and changes in the educational system. The purpose of this study was to introduce industry-coupled problem-based learning (IC-PBL) to the course "Understanding Fashion Consumption Trends" for non-fashion majors to reflect the current needs and strengthen the educational effectiveness of the learners through a survey. A seven-step curriculum (introduction to the class, practitioner's problem, learner's problem analysis, organizing concepts related to variables, information collection and scenario writing, presentation and scenario proposal, and evaluation) not only enhanced learners' understanding of fashion consumption trends and the fashion industry but also greatly amplified learners' satisfaction with the class. The results of the survey showed that the seven-step curriculum was effective in increasing learners' self-directed learning ability, problem-solving ability, and confidence in learning. Self-directed learning ability was stronger than other factors, consistent with the core principle of problem-based learning to empower learners to take the initiative and promote self-directed learning. Each factor analyzed was positively correlated.

• Journal of Korean Home Economics Education Association
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• v.12 no.2
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• pp.107-122
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• 2000

The purposes of this study were to investigate the decision making process & preference for imported products and to suggest the systematic education programs for adolescent consumers. The data for this research were attained from 426 middle & high school students in Pohang. The data were analyzed by frequency distribution. mean standard deviation analysis of variance t-test, χ(sup)2-test and Pearson’s correlation with SAS program. The results of this study were as follows: 1. preference for imported products was significantly different according to sex, amount of pocket money, region. T.V advertising, friends and the attitude of their mothers. 2. Decision making process was composed of 4 dimensions in this study; information sources criteria for products problem experience of consumption and type of problem solving. In case of information sources there was a signifiant difference according to sex. grade level of parents’education. Criteria for products were significantly different according to sex grade. level of father’s education type of father’s job amount of pocket money and how they gained their pocket money. Consumption problem experience & type of problem solving were significantly different according to sex and grade. 3. Preference for imported products was significantly different according to criteria for products and consumption problem experience out of adecision making process.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.9
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• pp.2017-2036
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• 2012

Based on the current solutions to the problem of energy hole, this paper proposed a nonuniform node distribution clustering algorithm, NNDC. Firstly, we divide the network into rings, and then have an analysis and calculation on nodes' energy consumption in each ring of the network when clustering algorithm is applied to collect data. We also put forward a scheme of nonuniform node distribution on the basis of the proportion of nodes' energy consumption in each ring, and change nodes' active/hibernating states under density control mechanism when network coverage is guaranteed. Simulation shows NNDC algorithm can satisfyingly balance nodes' energy consumption and effectively avoid the problem of energy hole.

• Korean Management Science Review
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• v.25 no.1
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• pp.43-53
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• 2008

This paper considers a profit-based unit commitment problem with fuel consumption constraint and maintenance cost, which is one of the key decision problems in electricity industry. The nature of non-linearity inherent in the constraints and objective functions makes the problem intractable which have led many researches to focus on Lagrangian based heuristics. To solve the problem more effectively, we propose mixed integer programming based solution algorithm linearizing the complex non-linear constraints and objectives functions. The computational experiments using the real-world operation data taken from a domestic electricity power generator show that the proposed algorithm solves the given problem effectively.

• Journal of the Chungcheong Mathematical Society
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• v.31 no.1
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• pp.65-73
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• 2018

We investigate the optimal consumption and investment problem of working agent who faces tax system on consumption, labor income, savings and investment. By applying martingale method, we obtain the closed-form solutions so it is possible to verify the effect of tax system analytically.

• Journal of applied mathematics & informatics
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• v.39 no.1_2
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• pp.215-222
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• 2021

We explore an optimal consumption/portfolio and retirement problem with a CARA utility function of consumption. The relevant Bellman equation for the value function is transformed into a linear equation and the optimal strategies are obtained explicitly.

• Journal of Digital Convergence
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• v.14 no.2
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• pp.149-156
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• 2016

The purpose of this study is to estimate convergence level of digital device and service and analyze group difference of consumption behavior and problem according to digital convergence level. The research method was survey with digital business expert and 343 samples. ANOVA research method was applied. The results of research are as follows. First, the study suggests that with a self-directed consuming attitude associated with both online and offline, there are the possibility to spread social problem which has unclear boundary, the possibility of intrusion into privacy through the network flow, and the matter of the credibility of information in convergence media. Second, since digital devices are important to connect consumers to the network, consumers have anxious dependence on the devices, which causes the fatigue of information to increase rapidly.

• Korean Journal of Social Welfare
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• v.67 no.1
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• pp.165-187
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• 2015

This study was designed to examine the influence of social-environment factors on high risk alcohol consumption. The study analyzed 229 local areas throughout Korea. Main variables included high risk alcohol consumption and environment factors such as population structure, liquor stores. For exploring the problem drinking, geographically weighted regression(GWR) using the geographic information system(GIS) was utilized to analysis. Major findings are rate of perceived stress, number of restaurants and bars. Especially problem drinking were influenced restaurants and bars, and the form or aim of restaurants and bars had differentiability to the problem drinking. These results have implication about the regulation policy of alcohol availability for prevention of alcohol related problems.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.7
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• pp.3566-3582
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• 2019

In intelligent warehouse picking system, the allocation of tasks has an important influence on the efficiency of the whole system because of the large number of robots and orders. The paper proposes a method to solve the task allocation problem that multi-robot task allocation problem is transformed into transportation problem to find a collision-free task allocation scheme and then improve the capability of task processing. The task time window and the power consumption of multi-robot (driving distance) are regarded as the utility function and the maximized utility function is the objective function. Then an integer programming formulation is constructed considering the number of task assignment on an agent according to their battery consumption restriction. The problem of task allocation is solved by table working method. Finally, simulation modeling of the methods based on table working method is carried out. Results show that the method has good performance and can improve the efficiency of the task execution.

• Journal of Korea Game Society
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• v.17 no.4
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• pp.137-148
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• 2017

Since the power consumption of data centers is large and computer serves take a large portion of it, there have been much research on the power saving of servers in various ways recently. Among the units of severs CPU is one of major power consuming units. In this paper, a method of client-server assignment for minimizing the CPU power consumption of servers in a game server cluster is proposed. We model the client-server assignment problem as an optimization problem, and find a solution to the problem using a simulated annealing-based technique. One of major features of our method is to select a proper operating frequency according to the amount of load on a server. The selection of a lower frequency in case of low load will result in reducing power consumption. To our survey, little research on client-server assignment in consideration of power consumption has been carried out.