• 대한가정학회지
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• 제41권8호
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• pp.19-31
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• 2003

This study was intended to present the plan for preventing and solving the seriousness of the consumer problem perceived in the e-commerce. For this purpose, 723 questionnaires were distributed to university As a result of analysis, the following findings were obtained: 1) It was found that e-commerce users had higher knowledge of the degree of internet un, the ability to use information on the internet, the disposition of computerization, and e-commerce related consumer than e-commerce non-users. 2) It was found that e-commerce non-users had the higher level of perceived seriousness of the consumer problem than e-commerce users. Especially, it was found that e-commerce non-users had the high level of perceived seriousness of the consumer problem related to the problem of exchange, termination and after-sale nice and the leakage of exchange, termination and after-sale service and the leakage of private information e-commerce user. 3) It was found that university consumers' perceived seriousness of the consumer problem in e-commerce over the internet showed a significant difference in the ability to use information on the internet between e-commerce users and non-users.

• 한국실내디자인학회논문집
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• 제13권5호
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• pp.114-124
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• 2004

Most previous studies, in general, related to housing needs have analyzed the data from self-administered survey or interview using questionnaire or simple 2D floor plan. This study was Intended to suggest how to increase the reliability and effectiveness of such survey methods in examining the residents' housing needs. In order to accomplish the purpose, the two kinds of surveys using Web based VR media and typical questionnaire were peformed. The same questions were used for these two surveys, and they included the furniture characteristics, use of each room, adjustment of room size, preferences for interior colors, preferred furniture in living room, space layout of floor plan, housing life style, and preference for housing characteristics. The answer differences between these two were analyzed. The subjects were 402 housewives who lived in apartment houses in Haeundae, Busan. Finding were as follows: first, the media method was more likely to be effective than typical questionnaire survey in explaining housing needs for the adjustment of room size in housing unit plan. Second, the media method was more realistic and reliable than the other in comprehending the needs for the interior colors. Last, the VR media tended to be more effective than the other in understanding the space layout of floor plan. This research sheds light on the utilization of visual instrument for the analysis of needs related to space use.

• 패션비즈니스
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• 제20권5호
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• pp.30-44
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• 2016

In this study, we used the Q methodology, which is considered an effective way to identify and assess the characterization of the human subjective consciousness, and we intended to carry out a scientific approach to classify cosmetics consumers in a department store. The purpose of this study is to identify the dimension of recognition and the characterization of Korean women who use a department store, as well as to classify cosmetics consumers in a department store. The analyzed data was divided into the top 10 questions and 10 sub-items, and it was then classified into six consumer types, depending on typicality of three factors. The three factors were 'effectiveness', 'goal' and 'congestion of shopping'. We named and analyzed the features of each type through in-depth Q workshops in which 22 professionals participated. This study is meaningful as it used the Q-methodology instead of statistics which had been used before to classify the consumers, so that the 'subjective' estimation was analyzed into 'objective' types. The results of this study are expected to be useful for creating a marketing strategy for the cosmetics industry.

• 한국건설관리학회논문집
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• 제8권5호
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• pp.191-200
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• 2007

This paper introduces a tool for predicting potential cost overrun during project execution and for quantifying the uncertainty on the expected project cost, which is occasionally changed by the unknown effects resulted from project's complications and unforeseen environments. The model proposed in this stuff is useful in diagnosing cost performance as a project progresses and in monitoring the changes of the uncertainty as indicators for a warning signal. This model is intended for the use by project managers who forecast the change of the uncertainty and its magnitude. The paper presents a mathematical approach for modifying the costs of incomplete work packages and project cost, and quantifying reduced uncertainties at a consistent confidence level as actual cost information of an ongoing project is obtained. Furthermore, this approach addresses the effects of actual informed data of completed work packages on the re-estimates of incomplete work packages and describes the impacts on the variation of the uncertainty for the expected project cost incorporating Multivariate Probabilistic Analysis (MPA) and Bayes' Theorem. For the illustration purpose, the Introduced model has employed an example construction project. The results are analyzed to demonstrate the use of the model and illustrate its capabilities.

• 한국컴퓨터정보학회논문지
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• 제24권3호
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• pp.159-166
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• 2019

The collection and manipulation of Internet of Things (IoT) data is increasing at a fast pace and its importance is recognized in every sector of our society. For efficient utilization of IoT data, the vast and varied IoT data needs to be reliable and meaningful. In this paper, we propose an IoT framework to realize this need. The IoT framework is based on a four layer IoT architecture onto which context aware computing technology is applied. If the collected IoT data is unreliable it cannot be used for its intended purpose and the whole service using the data must be abandoned. In this paper, we include techniques to remove uncertainty in the early stage of IoT data capture and collection resulting in reliable data. Since the data coming out of the various IoT devices have different formats, it is important to convert them into a standard format before further processing, We propose the RDF format to be the standard format for all IoT data. In addition, it is not feasible to process all captured Iot data from the sensor devices. In order to decide which data to process and understand, we propose to use contexts and reasoning based on these contexts. For reasoning, we propose to use standard AI and statistical techniques. We also propose an experiment environment that can be used to develop an IoT application to realize the IoT framework.

• 인삼문화
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• 제6권
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• pp.1-12
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• 2024

Emperor Minh Mang (明命), the second ruler of the Nguyen Dynasty in Vietnam, reigned from 1820 to 1841. He is widely regarded by contemporary historians as the most distinguished monarch of his dynasty, despite some controversial policies. One aspect of his extraordinary legacy is the remarkable 142 offspring he sired - 78 princes and 64 princesses - earning him the unprecedented distinction of having the most progeny among kings in world history. Vietnamese people suppose Minh Mang's prolific reproductive success to the consumption of a specially prescribed medicine known as Minh Mang Thang (明命湯, MMT). This medicine, often associated with sexual potency and fertility, is characterized by intriguing names such as "One night Five sexes," "One night Six sexes born Five babies," or "Six sexes Three pregnancies." Vietnamese folklore vividly recounts Minh Mang's exceptional sexual prowess, attributing it to the use of MMT. MMT formulations, which include various herbs, notably Korean ginseng, may incorporate additional botanical ingredients depending on their intended purpose. This paper aims to explore the origins, history, ingredients, and applications of MMT, unraveling the mystery behind this mystical prescription that has inspired several oriental medicinal researchers. Through this investigation, we seek to shed light on the cultural and historical contexts surrounding Minh Mang's use of MMT and its enduring impact on traditional Vietnamese medicine and folklore.

• 한국정보시스템학회지:정보시스템연구
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• 제33권2호
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• pp.105-124
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• 2024

Purpose This study aims to propose a blockchain-based platform that can guarantee enhanced trustworthiness in corporate ESG efforts, demanded by global ESG initiatives such as GRI and TCFD. Blockchain technology, recognized for its transparency and data immutability, can contribute to building trust in ESG disclosures, meeting the data transparency verification needs required by these initiatives. This research also explores the use of NFTs representing unique ESG efforts by companies, helping them in organizing and sharing ESG information with investors and consumers. Design/methodology/approach This study utilizes Hyperledger Fabric, a permissioned blockchain known for its enhanced transparency, scalability, and suitability for business transactions, to develop a blockchain platform for managing and disclosing ESG information assets in a trustworthy manner. Furthermore, it introduces the concept of ESG NFTs as a more reliable method for conveying ESG information to stakeholders, where ESG NFTs undergo verification process by third-party authenticators and evaluation by independent evaluators for credibility of ESG disclosure. Findings The use of NFTs, which has been predominantly intended for market trading in public blockchain, offers a credible means of disseminating corporate ESG status and evaluations in a permissioned blockchain, better fit for business transactions. By representing information assets as NFTs, which are tamper-proof and establish clear ownership, the proposed platform enables effective management of ESG-related information assets.

• 한국의류학회지
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• 제41권4호
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• pp.771-781
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• 2017

The helmet is an imperative personal protective equipment. This protective device must be able to guard the human head against potential risks. Helmets are classified according into the purpose of use; therefore, the required performance and specifications depend on the type of products. Military helmets are intended to protect the wearer's head from bullets and shrapnel. Generally, lightweight super fibers and fiber reinforced composite materials are used as helmet shell materials, and NIJ STD of U.S. Department of Justice is most widely used as international standard related to bulletproof helmets. Safety helmets are widely used for industrial application and sports leisure. In general, the performance of shock absorption must be ensured, and various lining systems are applied in material, design, and combination methods. Evaluation standards have also been classified and strictly controlled for each purpose; therefore, it is difficult to certify with the existing standards such as the recently developed convergence helmets. However, it is possible to launch the product through a separate national integrated certification procedure.

• 품질경영학회지
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• 제49권4호
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• pp.569-579
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• 2021

Purpose: The purpose of this study is the time series analysis for predicting the yield of crops applicable to each farm using environmental variables measured by smart farms cultivating tomato. In addition, it is intended to confirm the influence of environmental variables using a deep learning model that can be explained to some extent. Methods: A time series analysis was performed to predict production using environmental variables measured at 75 smart farms cultivating tomato in two periods. An LSTM-based encoder-decoder model was used for cases of several farms with similar length. In particular, Dual Attention Mechanism was applied to use environmental variables as exogenous variables and to confirm their influence. Results: As a result of the analysis, Dual Attention LSTM with a window size of 12 weeks showed the best predictive power. It was verified that the environmental variables has a similar effect on prediction through wieghtss extracted from the prediction model, and it was also verified that the previous time point has a greater effect than the time point close to the prediction point. Conclusion: It is expected that it will be possible to attempt various crops as a model that can be explained by supplementing the shortcomings of general deep learning model.

• 동아시아경상학회지
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• 제9권2호
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• pp.55-73
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• 2021

Purpose -This study aims to determine how the characteristics of the airline's SNS marketing affects brand image, brand attitude according to perceived values, and to analyze the impact of SNS marketing factors. It was intended to provide theoretical and practical implications for airlines to refer to SNS marketing activities. Research design, data, and methodology -A questionnaire was formed based on previous studies, and then an online questionnaire was created to conduct a survey. Explained the purpose and asked to respond. From February 1 to 14, 2020, 333 responses with a valid number of samples were confirmed for the final analysis of the data. The questionnaire was composed of five areas: demographic characteristics, SNS factor, brand image, brand attitude, and perceived value. Result -Airline's SNS marketing, brand image, and brand attitude are affected by the gender, age, and SNS usage time of the user, and the perceived value of the user is shown to be controlled by the airline's SNS marketing's influence on brand image and brand attitude. Conclusion -When SNS is to be effectively used for airline marketing, it is necessary to pay attention to the demographic characteristics and the control effect of perceived value, and use it for airline management. The perceived value has been shown to affect SNS marketing's brand image and brand attitude.