• Journal of Agricultural Extension & Community Development
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• v.11 no.1
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• pp.67-81
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• 2004

The objectives of this study were; a) to review the Ilgam Gatgi or a job project of the rural women b) to relate the vocational educational strategies for human resources development and c) to suggest appropriate vocational education programs for rural women in Korea. The study was carried out through literature reviews, and the results of the study were as follows : First, government should provide appropriate information and educational programs to support rural women for facilitating them to have a sound understanding of the Ilgam Gatgi project. Second, government should provide diverse vocational education programs to facilitate participation in the tasks such activities as for upbringing management mindness, counting and marketing abilities. Research and development works should be emphasized to develop further the traditional foods as well as new products. Third, national support activities should be reinforced to let the people recognize the Ilgam Gatgi projects and its products. and governmental supports should be made to establish cyber business transactions system for the products from the Ilgam Gatgi projects. Fourth education for the laws and regulations on manufacturing and marketing of processed foods would be necessary for rural women, since the majority of the products from the Ilgam Gatgi projects were processed foods.

• Journal of Korea Society of Digital Industry and Information Management
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• v.8 no.2
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• pp.21-29
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• 2012

Mobile voting can reduce the costs spent in elections, and it can encourage people to participate in the elections more actively because it allows them to vote anytime at anywhere. The trial of mobile voting in 2012 by Democratic United Party in Korea, showed the possibilities of mobile democracy but it also showed very critical problems such as illegal voting by proxy, source code open, open to nationwide for local parliamentary candidate ballot, privacy and hacking. In this paper, we analyze the result of the mobile ballot trial, and introduce the problems that has been revealed. After that we propose some system requirements for the new mobile voting system to prevent the problems according to the stages of voting: system development, voting stage, and counting and validating stage. At each stage, there are several requirements to be met for reliable mobile voting. Our research contribute to mobile democracy and implementation of mobile voting systems in that we analyzed the real case and raised issues for the real problems.

• Proceedings of the Korean Information Science Society Conference
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• 2006.10d
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• pp.95-100
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• 2006

최근 반도체 기술과 무선 통신기술의 발전으로 센서 네트워크를 이용한 응용 분야가 다양하게 나타나고 있다. 본 논문에서는 센서 네트워크를 이용하여 산악지역의 자동인원계수시스템과 환경모니터링시스템을 개발했다. 이 시스템은 저전력으로 동작하고 이중 RF 보드를 이용하여 최대한 신뢰성 있는 데이터 전송이 가능하도록 개발하였다. 또한 산악지역에서 데이터 전송율과 통신 신뢰성을 만족시킬 수 있는 433MHz 대역이 적합함을 실험을 통하여 확인하였다. 기존의 CCD 카메라를 이용한 자동인원계수기는 전원공급과 네트워크 부재로 인하여 산악지역에서는 사용하기에 부적합하다. 본 논문에서는 산악지역의 탐방로 폭이 협소함을 이용하여 포토 빔 센서를 이용한 양방향 계수센서를 개발하였다. 산악지역에서 실험한 결과 1.5m 이하의 도로 폭에서 95% 이상의 계수 신뢰도를 보임을 확인할 수 있다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.2
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• pp.33-38
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• 2017

This study explores the popular channels of Afreeca TV, which is the most famous Internet Broadcasting Service in South Korea currently. Due to the developments of technology, the era has come that ordinary people are able to do broadcasting individually with some equipment. Unlike traditional media, Internet Broadcasting does not have a concept of ratings, and Afreeca TV utilizes the specific formula for counting popular channels. In this situation, this study analyzes the popular channels on Afreeca TV by 1) Gender 2) Profile Photo 3) Genre 4) Enthusiast 5) Fanclub 6) Supporter 7) Amount of Airtime 8) Cumulative Audience, and then it reveals the traits of those popular channels. Then, it further discusses the future of the Internet broadcasting.

• Journal of The Korean Association For Science Education
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• v.21 no.1
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• pp.76-88
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• 2001

This study explored people's accuracy and methods of estimating some base physical quantities, i.e. length, mass, time and temperature. A total of 40 members, ranging from freshmen to professors, of a physics education department of a local university were asked to make two different kinds of estimations, intuitive and operational, on two sets of objects. For intuitive estimation, they were asked to make estimations on four given objects (length - wood chopsticks, mass - rubber eraser, time electric fan, temperature - water in a cup) as soon as they faced with the objects, usually within a few seconds of seeing. For operational estimation, they were allowed to make estimations on a different set of objects (length - plastic rod, mass - lock, time - simple pendulum, temperature - water in a cup) with enough time and they could apply various available methods (e.g. using pencil to estimate the object's length, counting their own pulse rate to estimate time) for the estimation. The findings of this study can be summarized as follows: (1) for length, mass and temperature the intuitive estimations were better performed while for the time estimation the result was the reverse; (2) there was no positive relationship between the amount of physics experience and the accuracy of the estimation; (3) in general, people's accuracy of the length estimation was best performed while their mass estimation was worst performed; (4) people used their own various methods for estimation, esp. using nearby objects around them and applying mental units which have convenient values (e.g. 30cm, 50cm, 1kg, 1 Keun, 1 second).

• Journal of Intelligence and Information Systems
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• v.26 no.2
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• pp.131-145
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• 2020

In line with the trend of industrial innovation, IoT technology utilized in a variety of fields is emerging as a key element in creation of new business models and the provision of user-friendly services through the combination of big data. The accumulated data from devices with the Internet-of-Things (IoT) is being used in many ways to build a convenience-based smart system as it can provide customized intelligent systems through user environment and pattern analysis. Recently, it has been applied to innovation in the public domain and has been using it for smart city and smart transportation, such as solving traffic and crime problems using CCTV. In particular, it is necessary to comprehensively consider the easiness of securing real-time service data and the stability of security when planning underground services or establishing movement amount control information system to enhance citizens' or commuters' convenience in circumstances with the congestion of public transportation such as subways, urban railways, etc. However, previous studies that utilize image data have limitations in reducing the performance of object detection under private issue and abnormal conditions. The IoT device-based sensor data used in this study is free from private issue because it does not require identification for individuals, and can be effectively utilized to build intelligent public services for unspecified people. Especially, sensor data stored by the IoT device need not be identified to an individual, and can be effectively utilized for constructing intelligent public services for many and unspecified people as data free form private issue. We utilize the IoT-based infrared sensor devices for an intelligent pedestrian tracking system in metro service which many people use on a daily basis and temperature data measured by sensors are therein transmitted in real time. The experimental environment for collecting data detected in real time from sensors was established for the equally-spaced midpoints of 4×4 upper parts in the ceiling of subway entrances where the actual movement amount of passengers is high, and it measured the temperature change for objects entering and leaving the detection spots. The measured data have gone through a preprocessing in which the reference values for 16 different areas are set and the difference values between the temperatures in 16 distinct areas and their reference values per unit of time are calculated. This corresponds to the methodology that maximizes movement within the detection area. In addition, the size of the data was increased by 10 times in order to more sensitively reflect the difference in temperature by area. For example, if the temperature data collected from the sensor at a given time were 28.5℃, the data analysis was conducted by changing the value to 285. As above, the data collected from sensors have the characteristics of time series data and image data with 4×4 resolution. Reflecting the characteristics of the measured, preprocessed data, we finally propose a hybrid algorithm that combines CNN in superior performance for image classification and LSTM, especially suitable for analyzing time series data, as referred to CNN-LSTM (Convolutional Neural Network-Long Short Term Memory). In the study, the CNN-LSTM algorithm is used to predict the number of passing persons in one of 4×4 detection areas. We verified the validation of the proposed model by taking performance comparison with other artificial intelligence algorithms such as Multi-Layer Perceptron (MLP), Long Short Term Memory (LSTM) and RNN-LSTM (Recurrent Neural Network-Long Short Term Memory). As a result of the experiment, proposed CNN-LSTM hybrid model compared to MLP, LSTM and RNN-LSTM has the best predictive performance. By utilizing the proposed devices and models, it is expected various metro services will be provided with no illegal issue about the personal information such as real-time monitoring of public transport facilities and emergency situation response services on the basis of congestion. However, the data have been collected by selecting one side of the entrances as the subject of analysis, and the data collected for a short period of time have been applied to the prediction. There exists the limitation that the verification of application in other environments needs to be carried out. In the future, it is expected that more reliability will be provided for the proposed model if experimental data is sufficiently collected in various environments or if learning data is further configured by measuring data in other sensors.

• Journal of architectural history
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• v.18 no.6
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• pp.65-84
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• 2009

This study was to analyze the philological character of Huangdizhaijing(黃帝宅經). Huangdizhaijing is a first stage scriptures of YangzhaiFengshui(陽宅風水) which is the firstly mentioned book in Sikuquanshu(四庫全書). Huangdizhaijing is an obligatory book to read to understand the palace of ancient dynasty as well as general housing of people. Huangdizhaijing measured housing conditions divided into Yangzhai(陽宅) and Yinzhai(陰宅). The contents succeeded traditional Yangzhaiguan(陽宅觀) which values direction(方向) and Jiri(吉日). Thatis, classifying Yangzhai into 24 directions based on Qi of YinYang(陰陽之氣) theory, general contents of Huangdizhaijing explains regulatory rules and propitious day in accordance with the Yangzhai mathematical principles and archaeology through Jixiongshenshalun(吉凶神煞論). Huangdizhaijing includes the kernel of understanding the chinese architect system and housing culture because it describes close reciprocal influences between man and house. It seems that the author of Huangdizhaijing is not the emperor but he was represented by descendants who systemized the idea of Huangdizhaijing in Yangzhai shu(陽宅書). Being there many of documents presented by emperor like Huangdineijing(黃帝內徑), It is counted that the reason of the representing emperor is to show off its origin has long and authoritative history. It seems that the preserved period of writing Huangdizhaijing is Tang(唐) dynasty, but counting that various Yangzhaishu prevailed, Huangdizhaijing's contents has much in common with Dunhuangben(敦煌本), and it valued Menfazhidu(門閥制度) of Weijinnanbeichao(魏晉南北朝) dynasty, the many of the contents of Huangdizhaijing should be formed before Tang dynasty. The exiting editions of Huangdizhaijing could be divided into generally 8 kinds:(1) Zhengtongdaocangben(正統道藏本) (2)Yimenguangduben(夷門廣牘本) (3)Jindaimishuben(津逮秘書本) (4)Shuofuben(說?本) (5)Gujintushujichengben(古今圖書集成本) (6) Sikuquanshuben(四庫全書本) (7)Xuejintaoyuanben(學津討原本) (8)Dunhuangben(敦煌本).

• Journal of Korean Medical classics
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• v.30 no.3
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• pp.95-108
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• 2017

Objectives : The concept of hidden Yin in summer by Zhu Danxi deals with the relationship between summer heat disease and hidden yin inside of human body. This paper attempts to ponder upon the clinical issues around which the discussions regarding the topic unfolded, and upon the texts on which the doctors of the discussions based their opinions. Methods : First, Danxi's argument as discussed in $G{\acute{e}}zh{\grave{i}}y{\acute{u}}l{\grave{u}}n$ is analyzed to find out his understandings of clinical issues and his textual sources on which he based his new perspective. Moreover, the prescriptions that Danxi thought was problematic and the concept of hidden yin as it existed before the time of Danxi are reviewed, and these findings are used understand Zhangjingyue's ground of criticism against Danxi. Lastly, this paper contemplates how these opposing opinions may be helpful to the general principles of medical theories. Results & Conclusions : There was a trend before the time of Danxi of abusing drugs as prescription based on warm-heat, understanding that a human body has yin-cold during summer. However, Danxi brought forth a new concept of yin deficiency in order to correct people's misunderstanding. Despite his effort, Zhangjingyue and other doctors contemporary to Danxi emphasized on one hand that human body is placed on a state of external heat inside the cold, and on the another, criticized Danxi of failing to fully understand the principle of "Abandon the time and follow the symptoms", a principle which asserts that the cold and warm of medicine should be decided by the symptom itself and not by the season. The value of these contradicting assertions seems to hold true even to this day because it helps us understand that the principles of "Counting Season as a Treatment Factor" and "Abandon the time and follow the symptoms" could be applied with balance in conjunction with each other.

• Proceedings of the Korean Society of Medical Physics Conference
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• 2002.09a
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• pp.275-278
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• 2002

The recognition of the natural background radiation is important not only for radiological education but also for the promotion of people's scientific view about radiation. We made a "room" on the web showing natural background radiation as part of a VRM (Virtual Radiation Museum). The "room" shows the video images of the tracks of charged particles from natural background radiation, alpha and beta ray track from known sources using a Large Scale Diffusion Cloud Chamber. The purpose of this study is to make clear the origin of a kind of track (named A-track) which is thick and easy to recognize with the length less than several cm in the cloud chamber, and to make numerical explanation of its counting rate. The study was carried out using a Large Scale Diffusion Cloud Chamber (Phywe, Germany) installed in the Niigata Science Museum. The Model RNC (Pylon Electronics, Canada) was used as Rn-222 source. Ra-226 activity in RNC was 111.6 Bq calibrated with NIST protocol. Rn-222 gas was injected into the cloud chamber. Continuous video recording with use of Digital Handycam (SONY, Japan) was carried out for 360 min. after injection of Rn-222 gas. The number of alpha-ray track (alpha track) in the video images was analyzed. The growth and decay curve of the total activity of Rn-222 and its alpha emitting progeny were calculated and compared with the count of the alpha tracks. As a result the alpha tracks formed by Rn-222 injection resemble A-Tracks. The relationship between A-track in the cloud chamber and atmospheric Rn is discussed.

• Journal of Haehwa Medicine
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• v.15 no.2
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• pp.263-272
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• 2006

Purpose Brain vessles have autoregulation function, so even when perfusion pressure drops, cerebral blood flow remain stable by vasodilation. Latest research on this reserve of cerebral vessels is being done using TCD, which measures the reserve of the vessels. We did a research comparing cerebral vessel and peripheral vessel reserve between Taeumin, who are more likely to suffer CVA, and the normal. We observed blood flow of Internal carotid artery siphon and radial indicis artery of the two group with TCD. Method We picked 20 people out of patients diagnosed as cerebral infarction at Cheon-An Oriental hospital of Daejeon University. They were diagnosed as Taeumin with QSCCII questionnaire and constitutional differentiation. Using TCD, we measured highest blood flow rate, mean blood flow and asymmetric counting blood flow of Internal carotid artery siphon and radial indicis artery at rest. And then we measured again after stimulating cerebral vessels, by triggering hypercapnia by self apnea and peripheral vessels by palm heating. Result At rest, mean blood flow rate of Internal carotid artery siphon showed significant decrease compared to control group. Blood flow rate of Internal carotid artery siphon after hypercapnia showed significant decline in highest blood flow rate and mean blood flow compared to control group. Cerebral vessel reaction after the hypercapnia induction showed great change in experiment group than the control group. Peripheral vessel reaction after palm heating showed significant decline in experiment group compared to control group. Conclusion In conclusion, measuring the alteration of blood flow used in diagnosing cerebral infarction, is more sensitive when vessel stimulation is done. Non-invasive TCD is effective especially in case of Taeumin who are more likely to suffer vascular disorder than others.