• Journal of Obesity & Metabolic Syndrome
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• v.26 no.1
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• pp.23-27
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• 2017

Background: In Korea, the prevalence of obesity has steadily increased, and the socioeconomic burden of obesity has increased along with it. In 2015, the National Health Insurance Service (NHIS) signed a memorandum of understanding with the Korean Society for the Study of Obesity (KSSO), providing limited open access to its databases so that the status of obesity and obesity management could be investigated. Methods: Using NHIS databases, we analyzed nationwide population-based studies for obesity using the definition of obesity (body mass index ${\geq}25kg/m^2$) in subjects over the age of 20. Age and sex standardization were used for all data. Results: The KSSO released the 'Obesity Fact Sheet 2016' using the 2006-2015 NHIS Health Checkup database. The prevalence of obesity steadily increased from 28.7% in 2006 to 32.4% in 2015, and the prevalence of abdominal obesity also steadily increased from 18.4% in 2009 to 20.8% in 2015. The prevalence of class II obesity steadily increased from 2006 to 2015, such that the total prevalence was 4.8% in 2015 (5.6% in men and 4.0% in women). The highest prevalence of obesity was found in Jeju Island, while the lowest prevalence was found in Daegu City. The highest prevalence of abdominal obesity was also found in Jeju Island, while the lowest prevalence was found in Gwangju City. Conclusion: Based on the Obesity Fact Sheet 2016, a strategy for reducing the prevalence of obesity is needed, especially in Korean men.

• Journal of the Institute of Convergence Signal Processing
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• v.22 no.4
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• pp.193-198
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• 2021

Recently, interests in the 4th industry have increased the level of demand for pest control by farmers in the field of rice farming, and the interests and use of agricultural pest control drones. Therefore, the diversification of agricultural control drones that spray high-concentration pesticides and the increase of agricultural exterminators due to the acquisition of national drone certifications are rapidly developing the agricultural sector in the drone industry. In addition, as detailed projects, an effective platform is required to construct large-scale big data due to pesticide management, exterminator management, precise spraying, pest control work volume classification, settlement, soil management, prediction and monitoring of damages by pests, etc. and to process the data. However, studies in South Korea and other countries on development of models and programs to integrate and process the big data such as data analysis algorithms, image analysis algorithms, growth management algorithms, AI algorithms, etc. are insufficient. This paper proposed an online drone pest control management information platform to meet the needs of managers and farmers in the agricultural field and to realize precise AI pest control based on the agricultural drone pest control processor using drones and presented foundation for development of a comprehensive management system through empirical experiments.

• The Journal of Bigdata
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• v.8 no.2
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• pp.1-13
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• 2023

Current analysis of air passengers mainly relies on statistical methods, but there are limitations in analyzing detailed aspects such as travel routes, number of regional passengers and airport access times. However, with the advancement of big data technology and revised three data acts, big data-based transportation analysis has become more active. Mobile communication data, which can precisely track the location of mobile phone terminals, can serve as valuable analytical data for transportation analysis. In this paper, we propose a air passenger Origin/Destination (O/D) extraction algorithm based on mobile communication data that overcomes the limitations of existing air transportation user analysis methods. The algorithm involves setting airport signal detection zones at each airport and extracting air passenger based on their base station connection history within these zones. By analyzing the base station connection data along the passenger's origin-destination paths, we estimate the entire travel route. For this paper, we extracted O/D information for both domestic and international air passengers at all domestic airports from January 2019 to December 2020. To compensate for errors caused by mobile communication service provider market shares, we applied a adjustment to correct the travel volume at a nationwide citizen level. Furthermore correlation analysis was performed on O/D data and aviation statistics data for air traffic users based on mobile communication data to verify the extracted data. Through this, there is a difference in the total amount (4.1 for domestic and 4.6 for international), but the correlation is high at 0.99, which is judged to be useful. The proposed algorithm in this paper enables a comprehensive and detailed analysis of air transportation users' travel behavior, regional/age group ratios, and can be utilized in various fields such as formulating airport-related policies and conducting regional market analysis.

• Journal of the Korean Institute of Electrical and Electronic Material Engineers
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• v.25 no.2
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• pp.91-95
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• 2012

ZnO thin films were deposited on p-type 4H-SiC substrate by pulsed laser deposition. ZnO nanowires were formed on p-type 4H-SiC substrate by furnace. Ti/Au electrodes were deposited on ZnO thin film/SiC and ZnO nanowire/SiC structures, respectively. Structural and crystallographical properties of the fabricated ZnO thin film/SiC and ZnO nanowire/SiC structures were investigated by field emission scanning electron microscope and X-ray diffraction. In this work, resistance and sensitivity of ZnO thin film/SiC gas sensor and ZnO nanowire/SiC gas sensor were measured at $300^{\circ}C$ with various CO gas concentrations (0%, 90%, 70%, and 50%). Resistance of gas sensor decreases at CO gas atmosphere. Sensitivity of ZnO nanowire/SiC gas sensor is twice as big as sensitivity of ZnO thin film/SiC gas sensor.

• Advances in environmental research
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• v.4 no.4
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• pp.219-231
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• 2015

In recent years, raising air pollutants has become as a big concern, especially in metropolitan cities such as Tehran. Therefore, forecasting the level of pollutants plays a significant role in air quality management. One of the forecasting tools that can be used is an artificial neural network which is able to model the complicated process of air pollution. In this study, we applied two different methods of artificial neural networks, the Multilayer Perceptron (MLP) and Radial Basis Function (RBF), to predict the hourly air concentrations of toluene in Tehran. Hourly temperature, wind speed, humidity and $NO_x$ were selected as inputs. Both methods had acceptable results; however, the RBF neural network produced better results. The coefficient of determination ($R^2$) between the observed and predicted data was 0.9642 and 0.99 for MLP and RBF neural networks, respectively. The results of the mean bias errors (MBE) were 0.00 and -0.014 for RBF and MLP, respectively which indicate the adequacy of the models. The index of agreement (IA) between the observed and predicted data was 0.999 and 0.994 in the RBF and the MLP, respectively which indicates the efficiency of the models. Finally, sensitivity analysis related to the MLP neural network determined that temperature was the most significant factor in air concentration of toluene in Tehran which may be due to the volatile nature of toluene.

• Journal of the Korea Convergence Society
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• v.9 no.1
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• pp.253-259
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• 2018

The Korea Convergence Society. Recently, as the 4th industrial revolution is rising, there are many changes in various field of industries. Among these industries, autonomous vehicles based on artificial intelligence, big data and internet of things is one of the most promising industry. Autonomous vehicle stray from classical car domain of manufacturers and suppliers, IT/Electronics suppliers and communication companies are widen their business area to autonomous vehicle technology. In this paper, we analysis the state of art of autonomous vehicle technology and development direction of industries/research institute. Finally, we discuss the social/economic effects of autonomous vehicle.

• Ecology and Resilient Infrastructure
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• v.4 no.4
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• pp.245-254
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• 2017

In this study, the flow characteristics and bed changes in the upstream and downstream of weirs with the variation of the weir angels are investigated quantitatively through the laboratory experiments. As the angle of weir increases, the effective weir length decreases. Delta is developed by the sediments inflow upstream and migrates downstream. Delta migration speed decreases as it approaches to the weir upstream, and the size is getting big. As the dimensionless weir length increases, the dimensionless wave length decreases at the downstream of the weir. However, the dimensionless bar height decreases. The dimensionless wavelength increases with the bar height downstream from the weir.

• Journal of Technology Innovation
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• v.5 no.1
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• pp.113-149
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• 1997

This paper, searching for the origin of the science and technology policy, is one of the research series on the original form of current S&T policy such as origin, evolution and changing patterns. Without understanding the origin, it is very difficult to understand the evolution and the current change of the policy. To answer this question, 2 kinds of conditions are set: 4 concepts for the origin of a policy and also 4 conditions for the S&T policy itself. As the origin of a policy, 4 concepts are set such as independence, continuance, diffusion and modern state as a policy body. Also as conditions for S&T policy, there may be 4 conditions such as policy targets, policy functions, administration body and the usage of the name of the policy. S&T can be distinguished as science, technology and S&T along it's development path. There, hence, are 2 origins of science and technology policy. French policy for modern science at the late 18th century and the establishment of the Agency of Science and Technology Policy of Japan in 1956 can be pointed out as the origin of the policy. The former can be called as the origin for natural science, and the latter as the origin for S&T. This study implies that new paradigm of S&T policy is a reflection for both the needs of new S&T and social needs. When there were big problems in a society and when there appeared new S&T, they exploited new S&T vigorously. This has been remained as a rememberable monuments in the history of the S&T policy.

• The Journal of Asian Finance, Economics and Business
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• v.4 no.4
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• pp.79-86
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• 2017

The purpose of this research is to examine reasons and evaluate strategies implemented by the Indian banking industry in tackling jay-customers in general and in light of the recent demonetization in particular. After a thorough germane literature and theoretical framework on jay-customers and Indian banking industry, researchers framed a well-structured questionnaire for collecting banking employees opinions along with a set of questions framed to conduct in-depth personal interviews with banking customers. The collected data were summarized, coded, and controlled by using Software R and the selected hypotheses were analyzed by the observance of percentile values. More than 90 percent of banking employees said lack of proper supply of cash from the Reserve Bank of India is the major reason for this kind of customer behaviour and shockingly 95 percent of banking customers expressed backdoor preference given by banking employees to some big customers is the major reason. The research confined only two state capitals Amaravati and Bangalore in India and covered only two largest banks one in public and private sector. The research provides useful insight into the crucial reasons for jay-customers' behaviour from the dyadic perspective of both employees and customers of the Indian banking industry.

• Journal of the Korean Society of Food Culture
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• v.20 no.2
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• pp.204-213
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• 2005

This study was focused on the analysis of questionnaire that surveyed the uses, preference and recognition on apple. The subjects of this study consisted of 452 female(married 238, unmarried 214) in Daegu area. Among those respondents, 49.1% answered that they ate apple after dinner. Respondents preferred as purchase place fruits store(34.5%), traditional market(22.6%), and big discount store(21.7%), in order. Taste(46.0%) was the most important as purchase criterion. 49.1% of respondents preferred small amount below 2-3kg every one purchase. In preference survey on apples, 80.5% of total subjects responded 'like' or 'very like', and 73.6% of those subjects who favorably responded liked the 'taste' of apples. The preference survey study on apple foods revealed that respondents preferred the most apple juice(M=3.47), fellowed by apple jam(M=3.35) and apple vinegar(M=3.21). On the other hand, apple bab(M=2.29) and apple jook(M=2.23) had the most low preference score. The recognition survey study on apple revealed that respondents knew relatively well the followings: apple is natural food(M=4.25), apple is good for body and apple is good for beauty(M=4.20). Respondents required apple to be fresher(41.0%) and taster(37.4%). 89.4% of respondents expected that consumption of apples would be increased or maintain at the present level.