• The KIPS Transactions:PartB
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• v.13B no.3 s.106
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• pp.215-222
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• 2006

People health improvement is becoming new subject through the combining with the oriental medicine diagnosis theory and IT technology. To do this, firstly, it needs sicked data that supply the visualization, objectification and quantification method. Especially, if an ocular inspection can be more objective and visual expression in oriental medicine, it seems to offer the biggest opportunity in diagnosis field. In this study, I propose a diagnosis to check the symptoms of heart diagnosis. Our research aim is on the visualization of diagnosis using image processing system which it can be actual analysis about the symptom of heart. To catch up this study, through the color support assistance by face image processing, I devide the face area and analyze the face form and also extract face characteristic point in heart disease diagnosis using oriental medicine based on an ocular inspection method. I would like to prove the usefulness of the method that proposed by an experiment.

• The KIPS Transactions:PartB
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• v.13B no.6 s.109
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• pp.591-600
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• 2006

This paper describes the development and implementation of a algorithm to decompose word images from image regions mixed text/graphics in document images using statistical analyses. To decompose word images from image regions, the character components need to be separated from graphic components. For this process, we propose a method to separate them with an analysis of box-plot using a statistics of structural components. An accuracy of this method is not sensitive to the changes of images because the criterion of separation is defined by the statistics of components. And then the character regions are determined by analyzing a local crowdedness of the separated character components. finally, we devide the character regions into text lines and word images using projection profile analysis, gap clustering, special symbol detection, etc. The proposed system could reduce the influence resulted from the changes of images because it uses the criterion based on the statistics of image regions. Also, we made an experiment with the proposed method in document image processing system for keyword spotting and showed the necessity of studying for the proposed method.

• Journal of Convergence for Information Technology
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• v.9 no.4
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• pp.139-145
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• 2019

The purpose of this study was to determined the effects of music rope skipping exercise on dynamic, static balance, and body compositions in intellectual disabilities men. The subjects were twenty men who were randomly devide into two groups (exercise group, n=10, and non-exercise group, n=10). The subjects done the music rope skipping exercise three times per week for 60 minutes each time for 12 weeks. As a results, there were significantly improved the dynamic and static balance abilities after music rope skipping exercise for 12 weeks. Also, There were significant differences in body weight and percent of body fat after the exercise program. Accordingly, It was effective improved on body balance abilities and body compositions after music rope skipping for 12 weeks in intellectual disabilities men.

• The Korean Journal of Pesticide Science
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• v.14 no.2
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• pp.116-122
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• 2010

This study was carried out to estimate the risk of pesticide operators who use high toxicological pesticides. The class II (highly hazardous) pesticides registered in korea were 15 products, and 11 products were spray type pesticides at orchard file in 2009. The using information based on the pesticide label and the data searched through survey of actual condition on pesticides were used for calculate the pesticide operator exposure dose. The risk quotients of these pesticides against the pesticides operator were calculated as devide pesticide exposure dose by reference dose which were presented by EFSA (European Food Safety Authority), JMPR (Joint FAO Meeting on Pesticide Residues), and US/EPA (United States Environmental Protection Agency). Omethoate showed the highest risk quotient and the values were 338 and 75 when the operator spray using speed sprayer and motor sprayer respectively. Risk quotients of all class II pesticide were above 1. This result means that the risk potential of these pesticides are very high.

• The KIPS Transactions:PartB
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• v.14B no.4
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• pp.287-294
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• 2007

Many classification algorithms for real world data suffer from a data class imbalance problem. To solve this problem, various methods have been proposed such as altering the training balance and designing better sampling strategies. The previous methods are not satisfy in the distribution of the input data and the constraint. In this paper, we propose a focused sampling method which is more superior than previous methods. To solve the problem, we must select some useful data set from all training sets. To get useful data set, the proposed method devide the region according to scores which are computed based on the distribution of SOM over the input data. The scores are sorted in ascending order. They represent the distribution or the input data, which may in turn represent the characteristics or the whole data. A new training dataset is obtained by eliminating unuseful data which are located in the region between an upper bound and a lower bound. The proposed method gives a better or at least similar performance compare to classification accuracy of previous approaches. Besides, it also gives several benefits : ratio reduction of class imbalance; size reduction of training sets; prevention of over-fitting. The proposed method has been tested with kNN classifier. An experimental result in ecoli data set shows that this method achieves the precision up to 2.27 times than the other methods.

• The Korean Journal of Air & Space Law and Policy
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• v.26 no.2
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• pp.101-124
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• 2011

Since 1961, Aviation Act has regulated all aspects related to air transport business, aviation safety and airport. However, we are to face the new challenges that have to support air transport business more efficiently and air transportation services to the people effectively in condition of the globally competitive air transport industry. In this sense, the government proposed to devide "Aviation Act" into 'Air Transport Business Act', 'Aviation Safety Act', 'Airport Facility Act' in a timely manner. At first I am to take a look about the laws of traffic-related legislation and national laws of Japanese aviation system, and to evaluate implications. In addition, the background, the organization and the main information of the Act (Draft) will be introduced. And I would like to discuss the issues raised and suggest an alternative. In particular, the name of the Act (Draft), the specifying of airport manager operater, accounting method of airport development projects belong to the nation, the delegation of the authority and other issues are discussed to provide a starting point. In conclusion, the division of current "Aviation Act" is considered absolutely necessary. To stimulate fair competition, safety regulations and efficiency, the legislation process would be desirable in the direction of the total development of the aviation industry as well as ensuring aviation safety.

• Journal of Digital Convergence
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• v.19 no.3
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• pp.1-12
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• 2021

This study aims to verify the mediating effect of social support in the relationship between online social relations service utilization(PC, mobile) and life satisfaction for middle-aged and Older Adults. For this purpose, the '2017 Digital Devide Survey' data collected by the National Information Society Agency was used, and among 2,300 middle-aged and Older Adults aged 55 or older, 1,488 people using the Internet were selected as the final analysis target. Then, using the structural equation, the mediating effect of social support was verified in the between online social relations service utilization and life satisfaction. As a result, it was verified that higher levels of mobile-based social relations service utilization have a positive effect on social support and life satisfaction. Also, it was confirmed that social support has a mediating effect in the relationship between the utilization of mobile-based social relations service and life satisfaction. However, the utilization of PC-based social relations services did not show to affect social support and life satisfaction. Therefore, the results of this study can be used as basic data for practical measures to increase the connection between mobile-based social relationship service education and social support promotion education for middle-aged and Older Adults. In addition, the study is meaningful in that it overcomes the limitations of measuring the use of online social relations services as one, and selects tools that are practically effective by dividing them into mobile and PC.

• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.857-862
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• 2021

Recently, rapid climate change has had a significant impact on the bee ecosystem. The decrease in the number of bees and the change in the flowering period have a huge impact on the harvesting of beekeepers. Accordingly, attention is focused on smart beekeeping, which introduces IoT technology to beekeeping. According to the characteristics of beekeeping, it is impossible to continuously observe the beehive in the hive with the naked eye, and the condition of the hive is mostly dependent on knowledge from experience. Although a system that can measure partly through sensors such as temperature/humidity change inside the hive and measurement of the amount of CO2 is applied, there is no research on measuring the movement path and amount of movement of bees inside the beehive. Part of the migration of honeybees inside the hive can provide basic information to predict the most important cleavage time in beekeeping. In this study, we propose a device that detects the movement path of bees and measures and records data entering and exiting the hive in real time. The device proposed in this study was developed according to the honeycomb standard of the existing beehive so that beekeeping farms could use it. The development method used a photodetector that can detect the movement of bees to configure 16 movement paths and to detect the movement of bees in real time. If the measured honeybee movement status is utilized, the problem of directly observing the colony with the naked eye in order not to miss the swarming time can be solved.

• Analytical Science and Technology
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• v.22 no.6
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• pp.498-503
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• 2009

Lung cancer is the main cancer on the world today, due to the high case fatality. Lung cancer can devide into two major types, such as small-cell lung cancer (SCLC) and non-small-cell lung cancer (NSCLC). Mutations in the epidermal growth factor receptor (EGFR) have been described in patients with advanced NSCLC. Mutations in the EGFR are associated with clinical and radiographic responses to EGFR tyrosine kinase inhibitors gefitinib and erlotinib. Thus, the detection of EGFR mutation can offer an effective information in clinical decision-making. In this study, We developed very simple, cheep and rapid mutation detection system by chip-based isothermal amplification method. The method described here has shown the advantages of rapid amplification, high sensitivity, and specificity. Also, it will be useful for rapid and reliable clinical diagnosis of EGFR mutation.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.867-874
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• 2023

Recently, many problems are occurring in the bee ecosystem due to rapid climate change. The decline in the bee population and changes in the flowering period are having a huge impact on the harvest of bee-keepers. Since it is impossible to continuously observe the beehives in the hive with the naked eye, most people rely on knowledge based on experience about the state of the hive.Therefore, interest is focused on smart beekeeping incorporating IoT technology. In particular, with regard to swarming, which is one of the most important parts of beekeeping, we know empirically that the swarming time can be determined by the sound of the queen bee, but there is no way to systematically analyze this with data.You may think that it can be done by simply recording the sound of the queen bee and analyzing it, but it does not solve various problems such as various noise issues around the hive and the inability to continuously record.In this study, we developed a system that records queen bee sounds in a real-time cloud system and analyzes sound patterns.After receiving real-time analog sound from the hive through multiple channels and converting it to digital, a sound pattern that was continuously output in the queen bee sound frequency band was discovered. By accessing the cloud system, you can monitor sounds around the hive, temperature/humidity inside the hive, weight, and internal movement data.The system developed in this study made it possible to analyze the sound patterns of the queen bee and learn about the situation inside the hive. Through this, it will be possible to predict the swarming period of bees or provide information to control the swarming period.