• The Korean Journal of Community Living Science
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• v.17 no.3
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• pp.55-65
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• 2006

Recent trends of global food production, processing, distribution and preparation under free trade circumstance are creating an increase in common' concerns about food safety. It is important that farmers improve agricultural products/food safety for satisfying consumer needs and health. Cognizant to the situation, this study was conducted to analyze how the Producers gather information, and determine their awareness about agricultural Products safety using a safety Questionnaire. The Questionnaire was given to 500 farmers who cultivate rice, fruit trees, vegetables, and other crops from September through October 2005. More than half of the producers felt concerns about the agricultural products/foods safety. Uneasiness of the producers was higher amongst those who were younger and earned a higher income. Pesticides and zoonosis (BSE AI, etc.) emerged as the main risk factors causing concerns among the greatest number of producers. Producers had a positive opinion of the effects and perception of food safety, but no opinion of the activity of government. The producers showed a high level of understanding of the Country of Origin Labeling System (88.2%), the quality certification system of agricultural and livestock products (71.9%), and the raising system of environment-friendly agriculture (72.7%). However, their level of understanding of the GAP (59.3%) and the Traceability System (22.8%) was still low. To effectively implement these policies, awareness of producers who are the beneficiaries of the above policies has to be enhanced. Therefore, the safety information should be provided at a more appropriate time and should be easier to understand.

• Journal of Digital Convergence
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• v.16 no.4
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• pp.307-312
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• 2018

This paper deals with the role and direction of design in the era of 4th industrial revolution. In addition to understanding the whole of science and technology such as Artificial Intelligence, Internet of Things, Cyber Physical System, 3D printer and Bio which are leading technology of the $4^{th}$ industrial revolution, this thesis is seeking direction of design that makes human life and society comfortable and convenient. The design in the 4th Industrial Revolution must be at the center of society and human being. Therefore, the design using ICT technology is also applied to the emotional design that stimulates human emotion warmly through in-depth study on society and human culture and environment. Through the above research, the design that has continued to evolve along with the development of technology continues to play a role as a design in which human emotion is alive.

• Journal of Digital Convergence
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• v.18 no.11
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• pp.267-272
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• 2020

Macroeconomics are one of the indicators that are preceded and analyzed when analyzing stocks because it shows the movement of a country's economy as a whole. The overall economic situation at the national level, such as national income, inflation, unemployment, exchange rates, currency, interest rates, and balance of payments, has a great affect on the stock market, and economic indicators are actually correlated with stock prices. It is the main source of data for analysts to watch with interest and to determine buy and sell considering the impact on individual stock prices. Therefore, economic indicators that impact on the stock price are analyzed as leading indicators, and the stock price prediction is predicted through deep learning-based prediction, after that the actual stock price is compared. If you decide to buy or sell stocks by analysis of stock prediction, then stocks can be investments, not gambling. Therefore, this research was conducted to enable automated stock trading by using macro-indicators and deep learning algorithms in artificial intelligence.

• Korean Journal of Community Nutrition
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• v.11 no.3
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• pp.317-326
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• 2006

To explore the relationship between weight status and food intake pattern, the Nutrition Survey results of the 2001 National Health and Nutrition Survey were analyzed. Dietary intake data of Korean adults aged 20 to 64. years who participated in the 2001 National Health and Nutrition Survey, was used along with their demographic data. Subjects were classified into 4 groups based on the BMI value of subjects: underweight, normal, overweight and obese. For male adults, obese subjects had significantly higher mean intake of energy, protein, carbohydrates, and fat than normal subjects. In addition, obese male adults consumed more animal foods, especially more meats, than normal subjects. However, females obese subjects did not show higher intake of energy or fat. Although obese male adults showed higher energy intake, calcium and iron intake per 1000 kcal was lower than normal adults. Average calcium intake in females was low; about 70% of RDA regardless of obesity level. In addition, riboflavin and Vitamin A intake was lower in overweight and obese female than in normal females. Percentage of subjects with low fruit and vegetable intake (< 400 g per day) was also high in female subjects. These results showed that food and nutrient intake patterns of obese population were different between male and female adults. These dietary intake patterns need to be considered in developing and implementing nutrition policy and intervention programs to prevent and control obesity. Moreover, the National Survey and monitoring system should be developed for continuous and effective investigation on the relationship between obesity and dietary intake.

• Journal of Digital Convergence
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• v.14 no.8
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• pp.177-183
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• 2016

Augmented Reality(AR) has been further developed through connectivity with Artificial Intelligence (AI), Big Data, the Internet of Things(IoT). The interest of AR in the advertising is on the increase. However, it needs to explore the use of AR technology in advertising based on user experience rather than the technical aspects. This study is very significant in that it is the exploratory study which provides guidelines in the field of utilizing AR, particularly based on direct user experience. In addition, through a quantitative survey, it checks the validity of the present study to verify the impact of utilitarian, experiential value of AR ad on brand attitude as consumer attitude. The characteristics of AR ad based on user experience through this study will provide guidance to utilize AR ad, utilizing AR technology in various fields, such as education and exhibitions in developing convergence contents that can provide practical value.

• Journal of Digital Convergence
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• v.15 no.12
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• pp.509-516
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• 2017

People observe a lot of events in our environment and we do not have any difficulty to perceive events including speech perception. Like perception of biological motion, two main theorists have debated on speech perception. The purpose of this review article is to briefly describe speech perception and compare these two theories of speech perception. Motor theorists claim that speech perception is special to human because we both produce and perceive articulatory events that are processed by innate neuromotor commands. However, direct perception theorists claim that speech perception is not different from nonspeech perception because we only need to detect information directly like all other kinds of event. It is important to grasp the fundamental idea of how human perceive articulatory events for the convergence on speech engineering. Thus, this basic review of speech perception is expected to be able to used for AI, voice recognition technology, speech recognition system, etc.

• Korean Journal of Community Nutrition
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• v.16 no.1
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• pp.75-85
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• 2011

The purpose of this study was to investigate basic data on the degree of parents' recognition and satisfaction with the use of environment-friendly agricultural products. The conclusions of this study are as follows. The survey on the use of environment-friendly products in households showed that 68.7% of the respondents used environment-friendly products at home. The frequency of purchasing organic products by household consumers showed that 25.1% of the respondents bought organic products one to two times per week. The most popular items of the environment-friendly agricultural products used were vegetables, comprising 63.9%. The households with more than 3,000,000 won of monthly income tended to consume more domestic livestock products (p < 0.05). In comparison to general agricultural products, environment-friendly agricultural products users showed higher satisfaction level with a better quality in term of safety, quality, nutrition, taste, appearance, diversity and price. The degree of satisfaction with safety was the highest ($3.8{\pm}0.68$), and price showed the lowest ($2.76{\pm}0.79$). The degree of parents' recognition of the governmental support for environment-friendly agricultural products showed that those who were aware of the supporting policy were 44.5%, but 55.5% of them didn't know about the fact that 46.6% of the respondents agreed that environment-friendly agricultural products should be used in more than 50% of the foods used for school food service. The respondents pointed out that vegetables (45%) sprayed with pesticide are the most urgent food item that need to be replaced by environment-friendly farm products.

• Journal of the Korea Convergence Society
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• v.11 no.9
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• pp.21-29
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• 2020

The Topic Modeling research, the methodology for deduction keyword within literature, has become active with the explosion of data from digital society transition. The research objective is to investigate research trends in D.N.A.(Data, Network, Artificial Intelligence) field using DTM(Dynamic Topic Model). DTM model was applied to the 1,519 of research projects with SW·A.I technology classifications among ICT(Information and Communication Technology) field projects between 6 years(2015~2020). As a result, technology keyword for D.N.A. field; Big data, Cloud, Artificial Intelligence, extended keyword; Unstructured, Edge Computing, Learning, Recognition was appeared every year, and accordingly that the above technology is being researched inclusively from other projects can be inferred. Finally, it is expected that the result from this paper become useful for future policy·R&D planning and corporation's technology·marketing strategy.

• Journal of the Korea Society of Computer and Information
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• v.25 no.6
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• pp.99-107
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• 2020

In this paper, we analyze the characteristics of mobile cache, which is used to improve the data access speed when executing applications on mobile devices, and verify the importance of mobile cache through a cache data access experiment. The mobile device market has grown at a fast pace over the past decade; however, battery limitations and size, price considerations restrict the usage of fast hardware. Thus, their performance are supplemented by using a memory buffer structure such as the cache memory. The analysis mainly focuses on cache size, hierarchical structure of cache, cache replacement policy, and the effect these features has on mobile performance. For the experimental data, we applied a data set from a microprocessor system study, originally used to test the cache performance. In the experimental results, the average data access speed on a mobile device showed a performance improvement of up to 10 times with the presence of cache memory than without. Accordingly, the cache memory was helpful for the performance improvement of a mobile device when the specifications were identical.

• Journal of Digital Convergence
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• v.19 no.10
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• pp.39-48
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• 2021

This study aimed to analyze the level of professors' understanding and perception of adaptive learning and proposed how college can implement successful adaptive learning in college classes. For research purposes, online survey was conducted by 162 professors of A university in capital region. As a result, professors seemed to feel pressure to provide students personalized feedback and gave concerned that students don't study enough in advance before participating in class. It was also found that professors realized that they have low level of understanding about adaptive learning, while they revealed intention to make use of adaptive learning in their class. They also answered that adaptive learning system is the most helpful support for encouraging professors to apply adaptive learning in real class. We proposed what is required to encourage professor to implement adaptive learning in their class.