• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.17 no.4
• /
• pp.1123-1146
• /
• 2023

In South Korea, there have been many studies on efficient building-energy management using renewable energy facilities in single zero-energy houses or buildings. However, such management was limited due to spatial and economic problems. To realize a smart zero-energy city, studying efficient energy integration for the entire city, not just for a single house or building, is necessary. Therefore, this study was conducted in the eco-friendly energy town of Chungbuk Innovation City. Chungbuk successfully realized energy independence by converging new and renewable energy facilities for the first time in South Korea. This study analyzes energy data collected from public buildings in that town every minute for a year. We propose a smart city building-energy management model based on the results that combine various renewable energy sources with grid power. Supervised learning can determine when it is best to sell surplus electricity, or unsupervised learning can be used if there is a particular pattern or rule for energy use. However, it is more appropriate to use reinforcement learning to maximize rewards in an environment with numerous variables that change every moment. Therefore, we propose a power distribution algorithm based on reinforcement learning that considers the sales of Energy Storage System power from surplus renewable energy. Finally, we confirm through economic analysis that a 10% saving is possible from this efficiency.

• The Journal of Asian Finance, Economics and Business
• /
• v.9 no.5
• /
• pp.273-283
• /
• 2022

Banking and finance is a broad term that incorporates a variety of smaller, more specialized subjects such as corporate finance, tax finance, and insurance finance. A virtual assistant that assists users in searching for information about banking and finance terms might be an extremely beneficial tool for users. In this study, we explored the process of searching for information, seeking opportunities, and developing a virtual assistant in the first stages of starting learning and understanding Vietnamese to increase effectiveness and save time, which is also an innovative business practice in Use-case Vietnam. We built the FIBA2020 dataset and proposed a pipeline that used Natural Language Processing (NLP) inclusive of Natural Language Understanding (NLU) algorithms to build chatbot applications. The open-source framework RASA is used to implement the system in our study. We aim to improve our model performance by replacing parts of RASA's default tokenizers with Vietnamese tokenizers and experimenting with various language models. The best accuracy we achieved is 86.48% and 70.04% in the ideal condition and worst condition, respectively. Finally, we put our findings into practice by creating an Android virtual assistant application using the model trained using Whitespace tokenizer and the pre-trained language m-BERT.

• Journal of Nutrition and Health
• /
• v.37 no.1
• /
• pp.61-67
• /
• 2004

This study was conducted to investigate the choline intake of Korean adults for the purpose of preparing a basal data required for the establishment of choline adequate intake (AI). The subjects of 56 Korean young adults were recruited from college students of 20 to 30 years old in Daejeon city. The aliquots of foods that the subjects ate for one day were collected with use of duplicate food collection method and choline content of one day meal directly was analyzed with the use of enzymatic method. Choline intakes of male subjects were in the range of 353.5∼1222.5 mg and those of female subjects were in the range of 213.1 ∼ 722.3 mg. Mean intakes of choline were 658.2 $\pm$ 243.9 mg/day in male subjects and 423.3 $\pm$ 133.6 mg/day in female, therefore choline intake of men was about 200mg higher than that of women. Median value in total subjects was 496 mg, male's median was 608.8 mg, female's median was 419.9 mg. When the subjects were devided into 4 groups by choline intake, as less than 75%, 75∼100%, 100∼125% and over 125% based on choline AI of USA (males: 550 mg, females: 425 mg), there was no significant difference between men (64.3%) and wemen (67.9%) in the distribution of the subjects whose choline intake is under the range of 75∼125% AI of USA. However, 10.7% of men and 21.4% of female had choline intake less than 75% AI of USA while the cases of choline intake higher than 125% AI were 25% in male and 10.7% in female. Thus, it is assumed that female case in choline-deficient state would be two times more than male. When adjusted by body weight, choline intake was 9.5 $\pm$ 3.4 mg/kg in men,8.1 $\pm$ 3.1 mg/kg in women and 8.8 $\pm$ 3,3 mg/kg in total subjects. And choline intake per 1,000 kcal of men, women and total subjects were 277.1 $\pm$ 78.4 mg, 275.9 $\pm$ 62.1 mg and 276.5 $\pm$ 70.1 mg respectively. From these results, it is suggested that these levels of 276.5 $\pm$ 70.1 mg/ 1,000 kcal or 8.8 $\pm$ 3.3 mg/kg B.W. can be used as a reference value for the establishment of AI of choline for Korean, because overall choline intake of these subjects was not in lower state compared to other nutrients intakes obtained from calculation of the food the subjects had taken.

• Asian Pacific Journal of Cancer Prevention
• /
• v.15 no.2
• /
• pp.671-676
• /
• 2014

Objective: The objective of this study was to establish a program model for use in wide-spread cervical cancer screening. :Methods: Cervical cancer screening was conducted in Zhongshan city in Guangdong province, China through a coordinated network of multiple institutes and hospitals. A total of 43,567 women, 35 to 59 years of age, were screened during regular gynecological examinations using the liquid-based ThinPrep cytology test (TCT). Patients who tested positive were recalled for further treatment. Results: The TCT-positive rate was 3.17%, and 63.4% of these patients returned for follow-up. Pathology results were positive for 30.5% of the recalled women. Women who were younger than 50 years of age, urban dwelling, low-income, had a history of cervical disease, began having sex before 20 years of age, or had sex during menstruation, were at elevated risk for a positive TCT test. The recall rate was lower in women older than 50 years of age, urban dwelling, poorly educated, and who began having sex early. Ahigher recall rate was found in women 35 years of age and younger, urban dwelling, women who first had sex after 24 years of age, and women who had sex during menstruation. The positive pathology rate was higher in urban women 50 years of age and younger and women who tested positive for human papillomavirus. Conclusion: An effective model for large-scale cervical cancer screening was successfully established. These results suggest that improvements are needed in basic education regarding cervical cancer screening for young and poorly educated women. Improved outreach for follow-up is also necessary to effectively control cervical cancer.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.15 no.8
• /
• pp.5009-5022
• /
• 2014

The purpose of this study was to obtain the serum lipid levels according to the lifestyles, and examine the influence of lifestyles on the serum lipid levels among adults who examined the health checkup in an university hospital. The subjects for this study were 4,112 adults who underwent medical examinations at the health center of a university hospital in Daejeon city from Jan 2012 to Dec 2013. The lifestyles and serum lipid levels of study subjects were obtained from self-recorded questionnaires and medical examination charts of the hospital. As a result, the mean values of the serum lipid levels (TC, HDL-C. LDL-C and TG) and atherogenic index (AI) of the study subjects showed a significantly difference according to the lifestyle, such as age, alcohol consumption, smoking, regular exercise, overeating and meat consumption in both sexes. The TC, HDL-C. LDL-C, TG and AI showed a positive correlation with age, AUDIT score, but the HPI score showed a negative correlation in both sexes. In the age-adjusted odds ratio, the risk ratio of an abnormality of TC, HDL-C. LDL-C, TG and AI increased significantly because there was an increase in the group of everyday overeating and meat consumption, smoking group, no exercise group, and low HPI group than their respective counterparts in both sexes. The above results suggested that the serum lipid levels of the subjects was closely related to increasing age, and lifestyles, such as alcohol consumption, smoking, regular exercise, overeating, and meat consumption.

• Informatization Policy
• /
• v.26 no.3
• /
• pp.69-89
• /
• 2019

In order to implement smart cities that will become living spaces in the fourth industrial revolution era, detailed privacy information such as residents' living information, buildings and facilities information must be collected and processed in real time. While city functions and convenience for individuals are being facilitated, threats to personal information exposure and leakage are also likely to increase at the same time. Therefore, the design concept for personal information protection should be considered and accordingly reflected from the stages of smart city design, technology development and operation planning of intelligent information (AI) facilities. The results of the analysis show that for activation of smart cities and operation of data-driven cities, the concept of Privacy by Design (PbD) has already been introduced in the institutional, industrial and technological aspects, particularly in the cases of European countries and the US. In order to strengthen the local and global competitiveness of smart cities and the country, Korea also needs to actively deploy PbD as a strategy to secure a data-driven economy, which is the core strategy for smart cities. Therefore, the study suggests policy implications focused on approaches to legislative improvement and technology development support, which reflect the basic properties of PbD as defined in the study.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.39 no.2
• /
• pp.113-122
• /
• 2021

Urban expansion, particularly converting sub-urban areas to residential and commercial land use in metropolitan areas, has been considered as a significant signal of regional economic development. However, this results in urban climate change. One of the key impacts of rapid urbanization on the environment is the effect of UHI (Urban Heat Island). Understanding the effects of urban land cover change on UHI is crucial for improving the ecology and sustainability of cities. This research reports an application of remote sensing data, GIS (Geographic Information Systems) for assessing effects of urban land cover change on the LST (Land Surface Temperature) and heat budget components in Ho Chi Minh City, where is one of the fastest urbanizing region of Vietnam. The change of urban land cover component and LST in the city was derived by using multi-temporal Landsat data for the period of 1998 - 2020. The analysis showed that, from 1998 to 2020 the city had been drastically urbanized into multiple directions, with the urban areas increasing from approximately 125.281 km² in 1998 to 162.6 km² in 2007, and 267.2 km² in 2020, respectively. The results of retrieved LST revealed the radiant temperature for 1998 ranging from 20.2℃ to 31.2℃, while that for 2020 remarkably higher ranging from 22.1℃ to 42.3℃. The results also revealed that given the same percentage of urban land cover components, vegetation area is more effective to reduce the value of LST, meanwhile the impervious surface is the most effective factor to increase the value of the LST.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.16 no.2
• /
• pp.1145-1152
• /
• 2015

This study examined the serum lipid levels according to the obesity indices, and obtained the relationship between obesity indices and serum lipid levels among adults who underwent a health checkup in a university hospital. The subjects for this study were 4,112 adults aged 18 to 77 years who underwent medical examinations at the health center of a university hospital in Daejeon city from Jan 2012 to Dec 2013. The serum lipid levels (TC, HDL-C, LDL-C, TG, AI) and obesity indices (height, weight, waist circumference, body fat rate, BMI, WHR WSR) of the study subjects were surveyed from self-recorded questionnaires and medical examination charts of the hospital. As a result, the serum lipid levels (TC, HDL-C, LDL-C, TG, AI) of the study subjects were increased significantly with higher level of obesity indices (WC, body fat rate, BMI, WHR WSR) in both sexes. The TC, LDL-C, TG, and AI showed that positive correlated with the WC, body fat rate, BMI, and WSR in both sexes, but HDL-C was negatively correlated with the WC, body fat rate, BMI, and WSR in both sexes. The above results suggest that the obesity indices and the serum lipid levels are closely related, i.e., the serum lipid levels increase with increasing obesity indices.

• Architectural research
• /
• v.24 no.1
• /
• pp.1-11
• /
• 2022

As the occurrence of a crime is dependent on different factors, their correlations are beyond the ordinary cognitive range. Owing to this limitation, systems face difficulty in correlating various factors, thereby requiring the assistance of artificial intelligence (AI) to overcome such limitations. Therefore, AI has become indispensable for crime prediction. Crimes can cause severe and irrevocable damage to a society. Recently, big data has been introduced for developing highly accurate models for crime prediction. Prediction of night crimes should be given significant consideration, because crimes primarily occur during nights, when the spatiotemporal characteristics become vulnerable to crimes. Many environmental factors that influence crime rate are applied for crime prediction, and their influence on crime rate may differ based on temporal characteristics and the nature of crime. This study aims to identify the environmental factors that influence sex and theft crimes occurring at night and proposes an artificial neural network (ANN) model to predict sex and theft crimes at night in random areas. The crime data of A district in Seoul for 12 years (2004-2015) was used, and environmental factors that influence sex and theft crimes were derived through multiple regression analysis. Two types of crime prediction models were developed: Type A using all environmental factors as input data; Type B with only the significant factors (obtained from regression analysis) as input data. The Type B model exhibited a greater accuracy than Type A, by 3.26 and 9.47 % higher for theft and sex crimes, respectively.

• Reproductive and Developmental Biology
• /
• v.37 no.1
• /
• pp.23-27
• /
• 2013

This study was carried out to investigate the influence of artificial insemination (AI) failure in 1,619 Korean native cows at Gangwon East area, Korea. The average AI failure rate was 37.02% in the cows and the highest rate was 40.85% in Yangyang-city. Based on the parity in the cows, the AI failure rate was 49.14% and 29.91% in the first and fifth parity cows, respectively. Whereas cows until fifth parity were decreased in AI failure, cows with sixth or more parity showed an upturning AI failure trends with the increasing of parity number. AI failure rate incidence according to the rump fat thickness measured by ultrasound was 28.9% and 33.4% at 5 mm to 10 mm and over than 15 mm, respectively. There was a positive correlation (0.2186) between AI failure rate of mother and that of their offspring cows. That is, offspring of dams with high AI failure rate showed also higher AI failure than those of dams having lower AI failure rate. In conclusion, these results indicate that the AI failure rate was closely related to the rump fat thickness, parity number, and conception rate of mother cows. In addition, these results might strengthen the basis to improve the reproductive performance in Korean native cows.