• Hwankyungkyoyuk
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• v.10 no.2
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• pp.121-132
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• 1997

The objective of this research is to understand the current field and composition of environment related terminology used in middle and high school textbooks, to find out uniformity and relationship between them, and development for the future establishement and replacement in the environmental education, simultaneously. The results of this study are as follows: 1. The terms used in middle school textbooks were found out to be 334, while those used in high school were 717. Total terms used were 870(759 kinds) and those recorded in the environmental terminology dictionary were 362 including synonyms. 2. Of those 870, 211 terms(24.25%) which were the same words have been used in interlinked connection with the Middle and High schools. While 136 terms(15.63%) have been used in the only middle, and 524 terms(60.23%) have been used in the only high schools. In middle and high school environmental tort books 211 (24.25%) terms were the same interlinked terms. Of those extracted terms, 136(15.63%) were used in the middle school 'environmental' textbooks and in high school, 524(60.23%) were used in 'environmental science' book. These results shows that there is big gap between middle and high school contents and we will need mere consideration in selecting the terms and better substance. 3. The same terminologies used in both middle and high schools were total number of 676. In those terms 257 kinds(76.26%) were used in middle school 'environmental' text books, and 563 kinds(78.52%) in high school 'environmental science' text books. Here are some details : 1) Terms used as same meaning but different in expression in middle school : 83 kinds, 192 terms(11.99%). 2) Differently expressed in the same tort book in kiddie school - 20 kinds(2.64%) in high school - 61 kinds(8.04%) 3) Differently expressed terms between middle and high school : 51 kinds(6.72%) 4) Same meaning in 3 expressions or more : 19 kinds 4. Of the examined terms 362(including 43 synonyms) were defined in environmental dictionary which is 41.8% of the total words. In the future specialization in utmost fields will be needed 5. When dividing those examined terms according to the middle and high school curriculum, the most terms were used in nature and pollution fields following environmental preserving, artificial environment and environmenatal counterplan. In middle schools the most used terms were in the field of environment pollution, preservation, counterplan, and santiation. There results reflects the education goals and objectives of middle schools. But for the middle school 'environment' curriculum moret uniform distribution are needed and for the high schools' 'enironmental science' program, the fields in artificial environment, industrization, urbanization, and sanitation should be intensified.

• Journal of Physiology & Pathology in Korean Medicine
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• v.18 no.2
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• pp.389-395
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• 2004

Conclusion are drawn from the clinical cases susceptible to Ojuck-san(吳積散) in Hyungsang medicine, as follows ; Ojuck-san is effective to those diseases caused by cold and damp(寒濕). Because cold and damp belongs to Yin pathogeny, Ojuck-san is mainly applied to Yin syndrome of Bangkwang type persons. Ojuck-san is effective in dissolving five kinds of masses accumulated in abdomen, so that it is preferential to the patients who have masses around the umbilicus or in lower abdomen. Ojuck-san is referred in the following chapters of Dongeuibogam(東醫寶鑑) ; uterus, chest, abdomen, loin, upper limbs, lower limbs, cold, and damp. Ojuck-san is applicable to the persons with the following characteristics in Hyungsang; Jijjucksang(地積象), woman, Bangkwang type, fish type, Hyul type, Ki type, Gualeum meridian type, pale lip, bluish thenar eminence, big mouth, smudgy face, thick leg, potbelly and big hips.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.69
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• pp.617-632
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• 2016

After contracting of Korea-China FTA, we have expected the trade volume has mutually been increasing a lot. If we are using this contract, we would make an activation of Korea economy. Especially, Korea youngman has been caught a big chance to make a business in Korea & China. For example, Xian, which is one of center of silk road, has become big strategy area. As we need to focus on this area, we will be expected to indirect influences of consumer's industries like cosmetic, fishery products, food service, eco-friendly items. Recently, the youngman starting up a business has become a trend of kinds of alternative new job. Then, we have to provide practical solution for young man. One of this solution is 'starting up a business'. In this study, I empirically investigated the relation between Korea-China FTA and the youth starting up a business. So, I believe that this study can light up on the direction of effective starting up for making & success a business in China.

• Journal of the Korean Institute of Rural Architecture
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• v.15 no.1
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• pp.107-113
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• 2013

The purpose of this study is to analyze the usage of the attached facilities of the church for the community services according to the church size. For the questionnaire 50 pasters who are in charge of the church that has over 300 church members were selected in Daejeon Chungnam Province. The results of this study were as follows; the kinds of attached facilities of the church do not increase by the church size, but in case of the middle size and the big size churches, the pressure of opening the attached facilities of the churches is stronger than that of small size churches. Almost all the pasters want to open the attached facilities of the churches for the community services, but the expectation of the result were different by the church size. Most of the pasters of the small size and big size churches think that the attached facilities of the church were very important for the growth of the church. Otherwise most of the pasters of the middle size churches do not agree with it.

• The Journal of Korean Association of Computer Education
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• v.17 no.6
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• pp.115-122
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• 2014

One of the problems with current youth generations is increasing rate of violence and suicide in their school lives, and this study aims at the design of a sentiment analysis system to prevent suicide by uising big data process. The main issues of the design are economical implementation, easy and fast processing for the users, so, the open source Hadoop system with MapReduce algorithm is used on the HDFS(Hadoop Distributed File System) for the experimentation. This study uses word count method to do the sentiment analysis with informal data on some sns communications concerning a kinds of violent words, in terms of text mining to avoid some expensive and complex statistical analysis methods.

• Journal of Korea Society of Digital Industry and Information Management
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• v.8 no.4
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• pp.83-90
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• 2012

With the rapid growth of internet infrastructure, World Wide Web is evolving recently into various services such as cloud computing, social network services. It simply go beyond the sharing of information. It started to provide new services such as E-business, remote control or management, providing virtual services, and recently it is evolving into new services such as cloud computing and social network services. These kinds of communications through World Wide Web have been interested in and have developed user-centric customized services rather than providing provider-centric informations. In these environments, it is very important to check and analyze the user requests to a website. Especially, estimating user preferences is most important. For these reasons, analyzing web logs is being done, however, it has limitations that the most of data to analyze are based on page unit statistics. Therefore, it is not enough to evaluate user preferences only by statistics of specific page. Because recent main contents of web page design are being made of media files such as image files, and of dynamic pages utilizing the techniques of CSS, Div, iFrame etc. In this paper, large log analyzer was designed and executed to analyze web server log to estimate web contents preferences of users. With mapreduce which is based on Hadoop, large logs were analyzed and web contents preferences of media files such as image files, sounds and videos were estimated.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.167-168
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• 2017

In this paper, we discuss the importance of what to analyze and what to predict using Big Data. The issue of how and where to apply a large amount of data that is accumulated in my daily life and which I am not aware of is a very important factor. There are many kinds of tasks that specify what to predict and how to use these data. Finding the most appropriate one is the way to increase the prediction probability. In addition, the data that are analyzed and predicted should be useful in real life to make meaningful data.

• International Journal of Computer Science & Network Security
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• v.22 no.4
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• pp.203-208
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• 2022

The occurrence of Type 2 Diabetes Mellitus (T2DM) is hoarding globally. All kinds of Diabetes Mellitus is controlled to disrupt over 415 million grownups worldwide. It was the seventh prime cause of demise widespread with a measured 1.6 million deaths right prompted by diabetes during 2016. Over 90% of diabetes cases are T2DM, with the utmost persons having at smallest one other chronic condition in UK. In valuation of contemporary applications of Big Data (BD) to Diabetes Medicare by sighted its upcoming abilities, it is compulsory to transmit out a bottomless revision over foremost theoretical literatures. The long-term growth in medicine and, in explicit, in the field of "Diabetology", is powerfully encroached to a sequence of differences and inventions. The medical and healthcare data from varied bases like analysis and treatment tactics which assistances healthcare workers to guess the actual perceptions about the development of Diabetes Medicare measures accessible by them. Apache Spark extracts "Resilient Distributed Dataset (RDD)", a vital data structure distributed finished a cluster on machines. Machine Learning (ML) deals a note-worthy method for building elegant and automatic algorithms. ML library involving of communal ML algorithms like Support Vector Classification and Random Forest are investigated in this projected work by using Jupiter Notebook - Python code, where significant quantity of result (Accuracy) is carried out by the models.

• Journal of Digital Convergence
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• v.13 no.10
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• pp.271-278
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• 2015

Recently, bit data is difficult to easily collect the desired data because big data is collected via the Internet. Big data is higher than the rate at which the data type and the period of time for which data is collected depending on the size of data increases. In particular, since the data of all different by the intended use and the type of data processing accuracy and computational cost is one of the important items. In this paper, we propose data processing method using a dual-chain in a manner to minimize the computational cost of the data when data is correctly extracted at the same time a multi-layered process through the desired number of the user and different kinds of data on the Internet. The proposed scheme is classified into a hierarchical data in accordance with the intended use and method to extract various kinds of data. At this time, multi-processing and tie the data hash with the double chain to enhance the accuracy of the reading. In addition, the proposed method is to organize the data in the hash chain for easy access to the hierarchically classified data and reduced the cost of processing the data. Experimental results, the proposed method is the accuracy of the data on average 7.8% higher than conventional techniques, processing costs were reduced by 4.9% of the data.

• Journal of Internet Computing and Services
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• v.19 no.4
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• pp.1-6
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• 2018

In smart cities, data from various kinds of sensors are collected and processed to provide smart services to the citizens. Noise information services with noise maps using the collected sensor data from various kinds of ubiquitous sensor networks is one of them. This paper presents a research result which generates three dimensional (3D) noise maps in real-time for smart cities. To make a noise map, we have to converge many informal data which include big image data of geographical Information and massive sensor data. Making such a 3D noise map in real-time requires the processing of the stream data from the ubiquitous sensor networks in real-time and the convergence operation in real-time. They are very challenging works. We developed our own methodology for real-time distributed and parallel processing for it and present it in this paper. Further, we developed our own real-time 3D noise map generation system, with the methodology. The system uses open source softwares for it. Here in this paper, we do introduce one of our systems which uses Apache Storm. We did performance evaluation using the developed system. Cloud computing was used for the performance evaluation experiments. It was confirmed that our system was working properly with good performance and the system can produce the 3D noise maps in real-time. The performance evaluation results are given in this paper, as well.