• KIPS Transactions on Computer and Communication Systems
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• v.9 no.1
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• pp.9-16
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• 2020

The k-anonymity scheme has been widely used to protect private information when Big Data are distributed to a third party for research purposes. When the scheme is applied, an optimal k value determination is one of difficult problems to be resolved because many factors should be considered. Currently, the determination has been done almost manually by human experts with their intuition. This leads to degrade performance of the anonymization, and it takes much time and cost for them to do a task. To overcome this problem, a simple idea has been proposed that is based on machine learning. This paper describes implementations and experiments to realize the proposed idea. In thi work, a deep neural network (DNN) is implemented using tensorflow libraries, and it is trained and tested using input dataset. The experiment results show that a trend of training errors follows a typical pattern in DNN, but for validation errors, our model represents a different pattern from one shown in typical training process. The advantage of the proposed approach is that it can reduce time and cost for experts to determine k value because it can be done semi-automatically.

• Journal of Information Technology Applications and Management
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• v.19 no.4
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• pp.227-242
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• 2012

It is a daunting task to theorize the process effectiveness of IT convergence based service model. Despite the criticalness of investigating process enhancement impact of IT-convergence based service model, the theoretical research in this field is relatively scarce, possibly due to the too wide and comprehensiveness of research scope. In this vein, we conducted exploratory study to understand the contributional impact of IT convergence based service model on resolving service process limitations. We first identified five IT convergence based service models in the area of typical service industry, which include entertainment, learning, location based services, tourism, and healthcare. Our research model classified value creation factors of the IT convergence model in twofold. The one is defined as basic value creation factor of the IT convergence, which is treated as the second-order factor that consists of two first-order factors of mobile functionality and Internet with digital contents merging functionality. The other is defined as service process limitations resolving factor which are comprised with the two first-order factors of simultaneousity and perishability. Both the second-order factors are modeled, each respectively, with the two first-order factors in formative manner. Using PLS, empirical validation is executed to analyze each value creating factor's contribution impact on the relative advantage, as well as the mediating effect of basic value creation factor on resolving service process limitations. On the basis of the insights revealed from this paper, further theory building research could be elaborated in the area of IT convergence applications for service industry.

• Journal of the Korean Society of Clothing and Textiles
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• v.36 no.3
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• pp.282-296
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• 2012

This study identified the types of motives for reading consumer reviews of apparel products for online stores and classified shoppers into the groups based on motives. Data were collected from eleven Korean women by a focus group interview and from 313 females by an online survey. Respondents were in their 20s' and 30s' with significant experience reading consumer reviews of apparel products for online stores. The seven motives found by interviews were reduced to four types of motives by factor analysis: Right product choice and judgment of product value, risk reduction, saving time and money, and fun/killing time. The motive for the right product choice and judgment of product value was the highest and the motive for fun/killing time was the lowest. Consumers were classified into four groups based on motives: Utilitarian shoppers (25.8%), shopping-task oriented shoppers (36.8%), multiple-motive shoppers (19.7%), and moderate-motive shoppers (17.7%). There were significant differences among age groups and the amount of reading reviews posted on a product and the duration of reading reviews for online stores. In addition, managerial implications were developed.

• Journal of Soil and Groundwater Environment
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• v.22 no.5
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• pp.13-22
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• 2017

Accurate assessment of agricultural groundwater usage is an essential task to cope with drought that occurs irregularly in time and location. In this study, the agricultural groundwater usage was calculated in nationwide public wells (1,386 bedrock wells) during 5-year period (2010-2014) by using electric power consumption and well specification data. National average of agricultural groundwater usage per each well was estimated as $66.2m^3/day$, corresponding to 21.6% of total permitted volume of groundwater in each well. Chungcheong Nam-do had the highest usage with 38-55.6%. The value increased to 58.1% when the total permitted volume was based upon the supply standard against drought, and the value reached 100% in Chungcheong Nam-do. In Ganghwa distirct that suffered from severe drought in recent years, the average groundwater usage was 61.4%. In 2014, when the drought was the most severe with 45% precipitation of the average annual rainfall, the nationwide usage was turned out to be 25.6%, indicating about 4% higher than average agricultural groundwater usage 21.6%. Therefore, the quantitative assessment of groundwater usage in this study signifies that adequate use of groundwater is crucial to cope with agricultural drought.

• Journal of Families and Better Life
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• v.26 no.4
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• pp.41-54
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• 2008

The purpose of this study was to investigate predictors concerning preschoolers' ability to read words, in terms of their sub-skills of alphabet knowledge, phonological awareness, and phonological processing. Fourteen literacy sub-tests and three types of reading tasks were administered to 289 kindergartners aged 4 to 6 in Busan. The main results are as follows. Sub-skills that predicted reading ability varied with children's age. Irrespective of children's age groups, knowledge of consonant names and digit naming speed commonly explained the reading of real words. In contrast, skills of syllable deletion and phoneme substitution and knowledge of alphabet composition principles were related to only 4-year-olds' reading skills. Exclusively included was digit memory in predicting 5-year-olds' reading abilities, and knowledge of vowel sounds in 6-year-olds' reading skills. The type of reading task also influenced reading ability. A few common variables such as knowledge of consonant names and vowel sounds, digit naming speed, and phoneme substitution skill explained all types of word reading. Syllable counting skills, however, had predictive value only for the reading of real words. Phoneme insertion skills and digit memory had predictive value for the reading of pseudo words and low frequency letters. Likewise, knowledge of consonant sounds and vowel stroke-adding principles were significant only for the reading of low frequency letters.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.34 no.1
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• pp.1-8
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• 2011

Controlling industrial vehicle operated by human in warehouse was not simple since the information transfer for controlling the vehicle was not easy. However, as the technology for the WMS (Warehouse Management System) has been advanced and the PDA (Personal Digital Assistant) has come into wide use in a workplace, the control of man-operated vehicle became less difficult as do to AGVS (Automated Guided Vehicle System). This study examines the ways to improve the efficiency of warehouse operation through introducing rule of task assignment for the vehicles, particularly forklift. This study, basically, refer to AGV operation policy because a great number of studies for AGV dispatching rule have been done and the mechanism for the controlling vehicles is very similar. The workers in field prefer to simple dispatching rules such as Shortest Retrieval Time First (SRTF), Shortest Travel Time First (STTF), and Longest Waiting Time First (LWTF). However, these rules have potential disadvantage. Thus, several rules made up by combining rules mentioned above are introduced and these new rules use threshold value or evaluation formula. The effectiveness of these new rules are tested by simulation and the results are compared. This study proposes favorable dispatching rules for forklift in warehouse for the efficiency of the vehicle operation and stability of service level.

• Journal of Fashion Business
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• v.18 no.1
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• pp.1-21
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• 2014

This study exceeds the view on the fragmentary fact-finding surveys related to the application of mobile commerce which further develops the evaluation model of fashion mobile commerce website and considers the validity of comprehensive fashion mobile commerce with quality evaluation factors according to the Task-Technology Fit. To fulfill the study objectives, a total of 433 questionnaires are being conducted to the customers with first-hand experience on fashion merchandises through mobile commerce. The judgement sampling method is employed according to the sample population ages from 20s to 30s during two months period. Based on the results of the above-mentioned path analysis, we have observed the following: First, the path relation analysis results show that the M-marketing (M-marketing) between perceived usabilities had effects to the perceived usability and the M-sales had effects to the perceived usability. Second, as seen from the fashion mobile shopping conformance (TTF), the perceived usability, customer satisfaction, and path pipe analysis result conformances between perceived values and immersions have effects of perceived usability, customer satisfaction and perceived value, and thus, indicate that the perceived usability had effects on the customer satisfaction and immersion. Third, the customer satisfaction, perceived value and immersion all have effects on the purchasing intention.

• Journal of Distribution Science
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• v.17 no.7
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• pp.99-109
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• 2019

Purpose - The purpose of this development the business model of the healthcare sector in order to promote patents satisfaction towards medical sector services improvement for the medical business model innovation to possess a competitive advantage in the medical and pharmaceutical industry. Research design, data, and methodology - Safety standard protocol from existing multidisciplinary literature is a process of theorization, which uses grounded theory methodology rather than a description of the data and the targeted phenomenon by using Jabareen (2009). The first task is to map the spectrum of food safety literature regarding the phenomenon in safety management. This process includes developing the implementation factors and other sources such as existing business models and practices into the protocol design. Results - The study suggests the conceptual framework to improve the safety management for patients' environmental sustainability performance. Conclusion - The business model may support the beneficial aspect to healthcare government's policymakers, hospital employees, and medical specialist who can apply the practical perspective of its value regarding an educational protocol. Originality/value - This study contributes to and extends our understanding of environmental sustainability performance, identifying the rationale for safety standards performance in the healthcare industry with suggested hybrid safety standards market consumer interconnector.

• Korean Chemical Engineering Research
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• v.47 no.6
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• pp.695-699
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• 2009

As a rule, when develop new product in company, multiple products that have similar function are developed simultaneously. These products are subjected to a group of tests covering quality, safety and durability. If the schedule of tests is changed, the expected net presented value(NPV) of new products is changed. The tests should be scheduled with the goal of maximizing the expected NPV of the new products. A model incorporated resource constraints with the sequencing of testing tasks of multiple products is proposed in this paper. Examples show that the proposed model can handle stochastic task duration data represented by scenarios with probabilities.

• Korean Institute of Interior Design Journal
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• v.25 no.4
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• pp.147-155
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• 2016

In order to ensure a certain level of the quality of design, standardized evaluation indicators are being used as an objective criterion. Even though the evaluation indicators are quantifiable, limitations such as inefficiency and inconsistency caused by manual task in the evaluation process still have been found. BIM (Building Information Modeling) technology that is commonly adopted in architectural design process provides an environment which enables us to figure out a building model to be interpreted quantitatively with the basis of the building information model. It supports quantitative, consistent, accurate and quick evaluations so as to improve quality of design even in the initial design phase. This paper aims to establish BIM-enabled quantitative indicators and an evaluation framework to analyze building circulation even in early phase of design. The indicators are composed of 4 types (relative distance, accessibility, simplicity, pedestrian friendliness) and 7 sub-types. The evaluation framework is the process to derive Parameterized Path Value (PPV) as weighting on each indicator. For demonstrating the scalability of the suggested evaluation indicators and the framework, the authors implemented an evaluation tool and a case study has been carried out by using an actual building remodel project.