• The Journal of the Convergence on Culture Technology
• /
• v.9 no.4
• /
• pp.309-314
• /
• 2023

This study examines the development and limitations of current artificial intelligence (AI) music composition programs. AI music composition programs have progressed significantly owing to deep learning technology. However, they possess limitations pertaining to the creative aspects of music. In this study, we collect, compare, and analyze information on existing AI-based music composition programs and explore their technical orientation, musical concept, and drawbacks to delineate future directions for AI music composition programs. Furthermore, this study emphasizes the importance of developing AI music composition programs that create "personalized" music, aligning with the era of personalization. Ultimately, for AI-based composition programs, it is critical to extensively research how music, as an output, can touch the listeners and implement appropriate changes. By doing so, AI-based music composition programs are expected to form a new structure in and advance the music industry.

• The Journal of the Convergence on Culture Technology
• /
• v.4 no.4
• /
• pp.261-266
• /
• 2018

This study aimed to provide an overview of artificial intelligence based music composition programs. The artificial intelligence-based composition program has shown remarkable growth as the development of deep neural network theory and the improvement of big data processing technology. Accordingly, artificial intelligence based composition programs for composing classical music and pop music have been proposed variously in academia and industry. But there are several limitations: devaluation in general populations, missing valuable materials, lack of relevant laws, technology-led industries exclusive to the arts, and so on. When effective measures are taken against these limitations, artificial intelligence based technology will play a significant role in fostering national competitiveness.

• Journal of Nutrition and Health
• /
• v.42 no.8
• /
• pp.759-769
• /
• 2009

This study investigated the effects of the nutrition education and exercise program on body composition, dietary intakes and physical fitness in obese women. The subjects were 44 obese women (BMI${\geq}$ 25 kg/$m^2$) who had been participating in nutrition education (1 time/week) and exercise program (3 time/week) for 12 weeks. Nutrition education was focused on low energy, high protein and low carbohydrate diet to reduce the body weight and improve the diet quality. To evaluate the effectiveness of the program, daily nutrient intakes were assessed by 24-hour recall method. Body composition, blood lipid profiles and physical fitness test were assessed before and after the intervention. After the intervention, body weight, BMI, percent body fat, soft lean mass and waist/hip ratio were significantly decreased (p < 0.001). Fasting blood sucrose, total cholesterol, LDL-cholesterol and atherogenic index (AI) were significantly decreased (p < 0.001), while HDLcholesterol was significantly increased (p < 0.001). Energy adjusted protein, fiber, vitamin A, vitamin $B_2$, vitamin $B_6$, vitamin C, vitamin E, niacin and folate were significantly increased. After the intervention, the muscle endurance, muscle strength, agility, balance were significantly increased. The changes in obesity indices (body weight, BMI, percent body fat, waist-hip ratio) were correlated with the changes of the nutrient intakes, serum lipid profiles, physical fitness. These results show that nutrition education and exercise program was effective not only for weight reduction but also for the improvement of physical strength and cardiovascular disease risk factors in obese women.

• Korean Journal of Poultry Science
• /
• v.51 no.1
• /
• pp.21-26
• /
• 2024

This study was conducted to investigate the composition of the fatty acids in the breast meat of Red-brown Korean native chickens (KNC-R). This study used a total sample of three hundred eighty-two KNC-R (males: 190, females: 192). We used the fatty acid methyl ester (FAME) method to extract the fatty acids. A 2-way ANOVA of the R program was used to assess the effects of batch and sex on each fatty acid trait. Analysis of the fatty acid in the sampled population showed that the predominant fatty acid was oleic acid (C18:1; 28.252%) which is monounsaturated fatty acid (MUFA), followed by palmitic acid (C16:0; 20.895%), saturated fatty acid (SFA), and two omega-6 polyunsaturated fatty acid (PUFAs): linoleic (C18:2; 15.975%), and arachidonic (C20:4; 10.541%). Indices used to evaluate the nutritional quality of fat in the diet: ratio between PUFAs and SFAs (P/S), thrombogenicity index (TI), and atherogenicity index (AI) were calculated and were 0.959, 0.814, and 0.355, respectively. Currently, meat consumers need healthier fatty acids. Therefore, information on the content of fatty acid in chicken meat is very important for meat consumers in choosing the type of the meat to be consumed.

• Journal of Nutrition and Health
• /
• v.43 no.3
• /
• pp.260-272
• /
• 2010

This study examined how the participation rates contribute to subjects' outcomes after a nutrition education (once/week) and exercise (3 times/week) intervention program for 12 weeks in 44 obese female subjects. The subjects were divided into two groups: high-participator (HP) or low-participator (LP) groups according to their participation levels based on the median visit value (30 visits out of a total of 48 visits). Daily nutrient intakes assessed by a 24-hour recall, body composition, blood lipid profiles and physical fitness were measured at baseline and after 12 weeks. After the intervention, weight, BMI, percent body fat, and the waist-hip ratio were significantly decreased in the HP group. In addition, the HP group had a greater rates of changes in weight (HP group: -6.6% and LP group: -3.1%, p < 0.01), BMI (-7.0% and -3.2%, p < 0.01), percent body fat (-7.8% and -4.2%, p < 0.05), and waist-hip ratio (-3.1% and -0.4%, p < 0.01) compared to the LP group. Energy-adjusted protein, fiber, potassium, vitamin $B_1$, vitamin $B_6$, and vitamin C were significantly increased in the HP group. The HP group showed a significant increase in HDLcholesterol and a decrease in blood pressure, total cholesterol, LDL-cholesterol, triglycerides, and atherogenic index (AI). While the muscle endurance, muscle strength, power, agility and flexibility were significantly increased in the HP group, agility and balance were improved in the LP group. In addition, dietary behavior score was significantly increased and stress score decreased in the HP group compared to the LP group. High participation rates were correlated with the improvement of the nutrient density (protein, fiber, potassium, Vitamin $B_1$, Vitamin $B_2$, Vitamin $B_6$ and folate), anthropometric parameters (body weight, BMI and percent body fat), serum lipid profiles (HDL-cholesterol, Triglyceride, and AI) and physical fitness (muscle endurance) adjusted for age, menopausal status, alcohol drinking, nutritional supplement use and baseline BMI. Our results suggest that high participation in nutrition education and exercise program was effective not only for weight reduction but also for the improvement of physical fitness in obese women.

• Fashion & Textile Research Journal
• /
• v.23 no.6
• /
• pp.790-798
• /
• 2021

With digital technology innovation, increased data access and mobile network use by consumers, products and services are changing toward pursuing differentiated values for personalization, and personalized markets are rapidly emerging in the fashion industry. This study aims to identify trends in digital customized automation technology by deriving types of digital customizing and analyzing cases by type, and to present directions for the development of digital customizing processes and the use of technology in the future. As a research method, a literature study for a theoretical background, a case study for classification and analysis of types was conducted. The results of the study are as follows. The types of digital customizing can be classified into three types: 'cooperative customization', 'selective composition and combination', 'transparent suggestion', and automation technologies shown in each type include 3D printing, 3D virtual clothing, robot mannequin, human automatic measurement program, AR-based fitting service, big data, and AI-based curation function. With the development of digital automation technology, the fashion industry environment is also changing from existing manufacturing-oriented to consumer-oriented, and the production process is rapidly changing with IT and artificial intelligence-based automation technology. The results of this study hope that digital customized automation technology will meet various needs of personalization and customization and present the future direction of digital fashion technology, where fashion brands will expand based on the spread of digital technology.

• Trans-
• /
• v.13
• /
• pp.35-58
• /
• 2022

This study predicts the paradigm shift that the development of artificial intelligence technology will bring to the production of music content, and suggests that works created through collaboration between artificial intelligence and humans can have artistic value as finished products. Anyone can easily produce music content using artificial intelligence composition programs, and it has become an opportunity to inspire artists with various attempts and creative ideas. Although artificial intelligence technology provides convenience in human life and benefits a lot in the efficient aspect of work, it is difficult to escape the perception of data-based pattern music in the art field so far. Pattern music with many quantitative elements is not recognized as a complete creation due to the absence of abstract symbolism or meaning pursued by art. However, it predicts that if qualitative elements such as emotions and creativity are given to artificial intelligence music through human collaboration, it can be recognized as a complete work of art. The development of artificial intelligence technology increases access to culture and art from the public, and it can be expected that anyone can enjoy it as well as aesthetic experiences. In addition, various contents can be produced by improving individual digital literacy, and it is an opportunity to share and communicate with others. As such, artificial intelligence technology serves as a medium connecting the public with culture and art, and is narrowing the gap between humans and technology through art activities. Along with this cultural phenomenon, we predict the possibility of research on the production of artificial intelligence music contents with artistic value and the development of various convergence and complex art contents using artificial intelligence technology in the future.

• The Journal of the Korea Contents Association
• /
• v.19 no.2
• /
• pp.1-10
• /
• 2019

The present research aims to identify the issues that occurred when uploading stock photos to the internet-based stock image agencies and to develop technical solutions based on web service technologies. We identify the issues by examination of previous studies and stock photo uploading systems of major three agencies currently in service. As such, we develop web service technology by focusing on the following matters. First, we apply an automatic tag system to ensure convenience. Second, to ensure safety, we apply a technology that easily enables prevention of portrait rights violations and trademark infringements. We also prepare for measures against possible harmfulness. Third, to ensure completeness, we apply a method which resolves upload failure issues that frequently occurred in the past. In particular, the present research is significant as it applies an automatic image analysis system based on Google Cloud Vision API as the artificial intelligence-based image processing technology. In addition, we develop a web service program which improves user access by using SNS-type screen composition.

• Korean Journal of Community Nutrition
• /
• v.12 no.1
• /
• pp.40-49
• /
• 2007

This study was done to investigate the health-related habits, dietary intakes and serum lipid levels in overweight and obese women by body mass index(BMI). Subjects were 137 pre-menopausal women aged 19 to 49 years. They were divided by 3 groups, overweight($23{\leqq}BMI<25$), obese($25{\leqq}BMI<30$) and morbidly obese($BMI{\geq}30$) according to their BMI. Body composition was determined by bioelectrical impedance analysis(BIA) method. Dietary intakes were examined by 3-day record method and nutrient intakes were analyzed by the Computer Aided Nutritional analysis program for professionals(CAN-pro 3.1). Serum lipid levels were measured using automatic biochemical analyzer(Selectra E). The average age, height weight and BMI of subjects were 31.7 years old, 159.3cm, 69.4kg, and $27.4kg/m^2$, respectively. Their average consumption of energy were 1712kca1 and 86.4% of estimated energy requirement(EER). Their mom ratio of carbohydrate:protein:fat was 55.2:14.6:30.2. Particularly, the fat consumption of subjects tended to be elevated with increasing BMI. There was no significant difference in nutrient intakes among 3 groups. But the mom intakes of Ca, Fe, vitamin C and Na of all the subjects were 70.1%, 81.2%, 75.7% of recommended intake(RI) and 258.9% of adequate intake(AI), respectively, The intakes of vegetables and seaweeds were significantly higher in morbidly obese group while the intake of fruits was higher in overweight group compared to the other groups. Serum lipid analysis showed that there were no significant differences in the levels of total cholesterol, triglyceride and LDL-cholesterol among the groups. But the serum HDL-cholesterol level of the overweight group was significantly higher than that of the other groups. LDL-/HDL-cholesterol ratio and AI index were significantly higher in the morbidly obese group compared to the other groups. In addition, The systolic blood pressure of morbidly obese group was significantly higher compared to the other groups. Overall data suggest that morbidly obese women have to more concern about reducing systolic blood pressure and nm lipid levels by decreasing their fat consumption and salt intakes as well as loosing body fat. In addition, all the subjects participated in this study have to be careful about their meals and health-related behaviors in order to prevent obesity-related chronic diseases.