• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.2
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• pp.197-207
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• 2018

SMEs manufacturing Factory, which are small-scale production systems of various types, mass-produce and sell products in order to meet customer needs. This means that the company has an excessive amount of material supply to reduce the loss due to lack of inventory and high inventory maintenance cost. And the products that fail to respond to the demand are piled up in the management warehouse, which is the reality that the storage cost is incurred. To overcome this problem, this paper uses ARIMA model, a time series analysis technique, to predict demand in terms of seasonal factors. In this way, demand forecasting model based on economic order quantity model was developed to prevent stock shortage risk. Simulation is carried out to evaluate the effectiveness of the development model and to demonstrate the effectiveness of the development model as applied to SMEs in the future.

• Journal of Information Technology Services
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• v.19 no.6
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• pp.131-144
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• 2020

As the blockchain technology attracts attention, interest in cryptocurrency that is received as a reward is also increasing. Currently, investments and transactions are continuing with the expectation and increasing value of cryptocurrency. Accordingly, prediction for cryptocurrency price has been attempted through artificial intelligence technology and social sentiment analysis. The purpose of this paper is to develop a deep learning ensemble model for predicting the price fluctuations and one-day lag price of cryptocurrency based on the design science research method. This paper intends to perform predictive modeling on Ethereum among cryptocurrencies to make predictions more efficiently and accurately than existing models. Therefore, it collects data for five years related to Ethereum price and performs pre-processing through customized functions. In the model development stage, four LSTM models, which are efficient for time series data processing, are utilized to build an ensemble model with the optimal combination of hyperparameters found in the experimental process. Then, based on the performance evaluation scale, the superiority of the model is evaluated through comparison with other deep learning models. The results of this paper have a practical contribution that can be used as a model that shows high performance and predictive rate for cryptocurrency price prediction and price fluctuations. Besides, it shows academic contribution in that it improves the quality of research by following scientific design research procedures that solve scientific problems and create and evaluate new and innovative products in the field of information systems.

• Journal of the Korean Institute of Landscape Architecture
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• v.37 no.5
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• pp.1-12
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• 2009

The purpose of this research was to propose policy directions for the design and construction of nature-friendly park facilities (PF) in national parks. In order to do that, nature-friendliness evaluation indicators(NEIs) used in green building rating systems and related articles were reviewed. After the initial literature review was complete, NEIs for park facilities based on location, design, construction, operation, and management sectors were developed. Data was obtained through a questionnaire completed by 79 managers at 19 national parks in Korea in 2008. The answers were analyzed using descriptive statistical methods, a t-test, a multi-dimensional analysis, and a factor analysis. This research found that: 1) The results indicated that based on relative weight calculation, the location condition was evaluated as the most important; 2) The evaluation results regarding the degree of nature-friendliness of park facilities showed that location condition was ranked higher than design and construction--in addition, the evaluated values of indicators related to energy efficiency were ranked the lowest; 3) the level of nature-friendliness of shelter was given the highest level, but resting facility was the lowest level; 4) Overall, park facilities at Mt. Seorak, Mt. Odae, and Taean Coast national parks showed high levels of nature-friendliness. But park facilities at Mt. Gyeongju and Mt. Songni national parks showed low levels of nature-friendliness. The results of this research shall contribute to the establishment of tailor-made management policies, the development of detailed guidelines for increased energy efficiency and visitor satisfaction, and the preservation of ecosystems and natural resources in Korea's national parks.

• Applied Chemistry for Engineering
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• v.26 no.3
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• pp.294-305
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• 2015

We have quantitatively analyzed 1,294 effective patents on "Quantitative Analysis of Patents Concerning Cathode Active Materials for Lithium-Ion Secondary Batteries Based on Layer Structure" from Korea, USA, Japan, Europe and PCT (WO). The importance of technological and patent values of the aforesaid patents were evaluated by the factors shown in Table 1, and 104 major and 20 core patents were selected in compliance with the evaluation from the patents. The technological flow chart over time regarding the selected major and core patents was prepared, and the applying time and development process of patents, as well as the position of core patents were established on the time scale investigated. Finally, the differentiation plans and patent avoidance strategies for the next technology development, in comparison with the technologies of patents already applied and registered, were suggested.

• Journal of Internet Computing and Services
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• v.24 no.4
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• pp.93-105
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• 2023

In order to transform the traditional aquaculture industry, which is dependent on experience, labor-intensive and natural environment, into future intelligent smart aquaculture, digital aquaculture improves aquaculture reproducibility and efficiency of production process through digitization of the aquaculture industry based on ICT equipments, Data analysis and utilization for promoted to increase the acceptability of aquaculturist. Europe's advanced fisheries countries have achieved rapid growth not only in aquaculture technology but also in the aquaculture equipment industry through digitization that combines information and communication technology with aquaculture farms. However, it is not possible to collect aquacultural data in Korea because it has not secured a Korean aquaculture industry for multi-variety, small-scale production and aquaculturists' refusal of reception for digital transformation. Therefore, this study intends to suggest the development direction of digital aquaculture to convert to intelligent smart aquaculture in the future by analyzing trends and critical technology.

• Culinary science and hospitality research
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• v.15 no.2
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• pp.243-254
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• 2009

The purpose of this study is development of the quality assessment for interior space and foodservice management in Italian restaurants. Also this study aims to evaluate them which are consisted of 30 items by Likert 5 point scale. As a result of the evaluation, 'food taste' and 'ingredients freshness' were the most important factors in interior space and the foodservice in Italian restaurants. The IPA technique proved that nine items including Q4, Q9, Q10, Q11, Q14, Q16, Q19, Q24, Q28 were in 'Doing great, keep it up' and five items such as Q13, Q25, Q26, Q27, Q29 that got high expectation and low perception needed to be focused for quality management strategies.

• Journal of the Korean School Mathematics Society
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• v.9 no.3
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• pp.405-424
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• 2006

The purpose of this study was to develop the instruments which can measure behavior characteristics as a component of Mathematically Giftedness with in middle school period. This study prescribed the variable factors of measurement after classify the characteristics of Mathematically Giftedness through literature studies. And it produced instruments those are finally composed of 51 items through the preliminary test. The participants for the study were 424 Korean middle school students. Statistical analyses were carried out to verify the validities and reliability. Reliability(Cronbach $\alpha$) was in behavior characteristics, .95. Content validity was found to be satisfactory by internal validity evaluation on the test items. Internal validity were analyzed by BIGSTEPTS based on Rasch's 1-parameter item-response model. Construct validity was also found to be satisfactory through factor analysis which showed the four factors which the identification instruments were intended to measure such as, General mathematical mental ability, Mathematical Ability, Processing and Obtaining mathematical information Anility and Mathematical Disposition Ability. In conclusion, the instruments about behavior characteristics of Mathematically Giftedness during middle school period developed by this study are highly reliable on its reliability and validity.

• Journal of Korean Home Economics Education Association
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• v.15 no.4
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• pp.1-22
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• 2003

The purpose of this study was to general needs and identify the educational needs for teaching competency of home economics teachers. based on their perception on teaching competency revealed in Previous studies. Data were collected from 1,104 schools selected by stratified sampling. based on school district, ranking and size. The 616 items of survey materials were collected from 417 schools and the levels of importance and performance were measured on Likert scale with 7- and 5- points, respectively. The analysis reveled that the educational needs for improving teaching competency were high in the following three areas out of seven areas. 1) interfacing ability with the local community and diverse human resources. 2) ability managing space and materials for learning 3) ability diversifying lesson development and evaluation ability. In addition. diversifying and professionalizing present development program for home economics teachers made higher score than improving education program for home economics teachers. These two needs of teachers showed significant differences according to their educational experiences and foundation types of their schools.

• Journal of Digital Convergence
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• v.15 no.2
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• pp.369-374
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• 2017

The object of this study is to offer domestic and overseas travel informations efficiently for domestic tourists growing far beyond 15 million even now through user centered interface more convenient and accurate. In a method of research, 100 people were surveyed after recasting of evaluation questionnaire about UI design using 5-point Likert and nominal scale and additionally, the in-depth interviews were given to 10 people who use travel application frequently. In consequence, this interview revealed where users feel convenience and difficulty and want improvement of usability, information accuracy, etc. Finally, this study has a meaning to suggest new UI prototypes and various guideline about additional UI design on the basis of surveyed parts.

• The Journal of Korean Institute of Next Generation Computing
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• v.14 no.5
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• pp.7-18
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• 2018

Recently, serverless computing is spotlighted. Because it supports the development of application based on micro-service. Micro-service means a small-scale service that can operate independently. Applications with micro-service units have the advantage of enabling individual updates, easy and fast deployment. In addition, it has the advantage of supporting various languages and platforms for each service. Therefore many enterprise are trying to change from monolithic architecture to micro-service based architecture. However, there is a lack of research on methods and baseline for micro-service construction. In this paper, a method is proposed to construct the micro-service unit by analyzing UML design in monolithic application. It also shows the proposed approach can reconstruct monolithic application into micro-service based unit by implementing the constructed micro-services in a real serverless platform environment. In addition, the results of the comparative evaluation with the related studies are presented.