• Journal of the Korean Association of Geographic Information Studies
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• v.7 no.2
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• pp.78-86
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• 2004

Recently GPS and mobile GIS technologies based on LBS(location based service) have played an important role as DSS(decision supporting system) for domestic forest fire extinguishment policies. In this study forest fire extinguishments information management system based on mobile GIS technique was designed to seize the exact location on wireless network so that it helps to guide the safe and efficient extinguishments affairs and provide the extinguishments environment toward ground fighting teams and the central forest government in real time. Moreover, possibly to operate this system, the foundation technologies by the name of '.gci' such as the spatial data compression method, the spatial data transmission method over wireless network and the spatial analysis interface on PDA should be mainly considered. Especially, in this study the spatial data compression method having high compression rate from 51% to 62% for each polygon, line, and point data, without the loss of data was developed.

• Journal of Korean Medical classics
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• v.5
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• pp.151-199
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• 1992

A study on Bang-Yak-Hap-Py$\breve{u}$n, one of the most widely-known Korean medicine books, has been conducted and the findings are as follows:the political and social background at the end of Yi-dynasty amidst the inflow of western civilization and the aggression of foreign forces can be seen as a historical period of trial, when civilization and independence had to be preserved at the same time, during the period, the social trend was to pursue a rapid practical solution rather than a profound theory. Responding to this trend, simple and easy medical science became to prevailand the representative medicine book of this kind was Bang-Yak-Hap-Py$\breve{u}$n. 1. Bang-Yak-Hap-Py$\breve{u}$n was written comprising the characteristics of simple and easy medical science with a view to popularizing-collection of logics, easy readability, medical science in time, etc. 2. Bang Yak-Hap-Py$\breve{u}$n, rich and grand in content, came out of Dong-$\breve{U}$i-Bo-Gam at the right moment as a pragmatic guide book of Korea medical practice symbolizing Korean spirit. 3. Do-yun Whang whose pen name was Hye-Am was born in Changwon, Kyungnam-do as the 18th descendant of Changwon Whang family. He engaged in medical practice in Seoul and wrote and edited Boo-Bang-Py$\breve{u}$n-Ram. $\breve{U}$i-Jong-Son-Ik, $\breve{U}$i-J$\breve{u}$ng-Son-Ik-Bu-Yeo, $\breve{U}$i-Bang-Whan-Tu, ect. and made his son, Pil-Su follow him and let him edit Bang-Yak-Hap-Py$\breve{u}$n, which put $\breve{U}$i-Bang-Whal-Tu and Son-Ik-Bon-Cho together. 4. The construct of Bang-Yak-Hap-Py$\breve{u}$n can be subdivied into three parts: herbs of 34 classes and 514 kinds were arranged on the upper part and $\breve{U}$i-Bang-Whal-Tu was arranged on the middle end lower part. Such arrangement can be very effective in clinics. 5. Bang-Yak-Hap-Py$\breve{u}$n as a curative book of Korean medical science has been a necessary another ego for many Korean medical practioners. It also played a great role of enhancing Korean oriental medical science to be widely used by Koreans. On the other hand, it produced a side effect of emergence of employed medical practioner who lacked in scholastic aptitude. 6. Tens or newly edited Bang-Yak-Hap-Py$\breve{u}$n have been issued. Among them, Jung-Jeong, Bang-Yak-Hap-py$\breve{u}$n, J$\breve{u}$ng-Mak-Bang-Yak-Hap-Py$\breve{u}$n. By$\breve{u}$n-J$\breve{u}$ng-Bang-Yak-Hap-Py$\breve{u}$n, and By$\breve{u}$n-J$\breve{u}$ng-Bang-Yak-Jung-Jeon have been widely known. Lately, Bang-Yak-Hap-Py$\breve{u}$n which includes more symptoms and remedies or is translated into Korean came out in several kinds. 7. The number of korea classical medicinal books quoted in Bang-Yak-Hap-Py$\breve{u}$n is 68, among which Dong-$\breve{U}$i-Bo-Gam Occupies the top in the list enlisting 69 medicinal treatment. This Shows that Dong-$\breve{U}$i-Bo-Gam gave birth to Bang-Yak-Hap-Py$\breve{u}$n.

• Korean Security Journal
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• no.36
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• pp.349-386
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• 2013

This research analyzes and evaluates The Korean Security Industry Law(TKSIL) putting the regulation of the present government about the private security industry. It nowadays becomes the important axis of the police services offered in the aspect of 'the national life safety' in connection with 'the materialization of society which is safe from the crime'. TKSIL is one of the national administration strategies which Park Gun-hye government aims on supervision policy. After seeking out the core values of the private security industrial policy which sets up in order to approach the national life safety which Park Gun-hye government aims, we make some assessments of this revised security industry law systematically. Particularly all keynote of policy about the private security of the police tried to be confirmed and the desirable direction of policy tries to be presented as to the security industry law application and real operation. In the site of organized civil complaint, the revised security industry law was revised as the direction which intensifies the administrative regulation as to the partial regulation such as it established the reason of the introduction of the arrangement license system. And grounds for disqualification of security instructor and guard, and rules of punishment is intensified order to intercept previously illegal and violent act of the security company etc. However it has the feature that it accomplishes 'the law principle(principle of statute)' the substantial portion through the effort of them changing a lot the content for the form of the law when being the clauses of the fundamental human rights limit, although it has been prescribed in "the security industry law enforcement ordinance" or "the security industry law enforced regulation". The security industry law revised this time brought from the change of the sharp policy through the revision of 17 clauses or new establishment. It can divide into 4 categorizes. (1) strictness of punishment in the site of organized civil complaint (2) Intensification of throwing out for the violation person in the private security business market time-limitedly (3) Intensification of the legal guide supervision power of police (4) upstream of the capital, name tag attachment under compulsion and the limit about other equipment use etc. Essentially "the security industry law" cannot help regulating the national interference of the private security and regulation with this content. However as to this interference and regulation, the limit has to be possible within reasonable range. As the history proved, excessive regulation by the country is not only due to bring the distortion of the security system of nation but also provoke national social cost. It can't be disregards ever that it premises the harmony which appropriate as well as reasonable in the socio-economic dimension for drawing the best combination that all things which get the compulsory education, it limits the person providing the private security service to the corporation, or it limits to the certificate of qualification holder are the ultimate for 'the safety of the national life'.

• Journal of Food Hygiene and Safety
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• v.38 no.1
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• pp.12-18
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• 2023

Beef traceability systems help prevent the distribution of Hanwoo (Korean native cattle) meat as imported beef. In particular, assigning a traceability number to each cattle can provide all information regarding the purchased Hanwoo meat to the consumers. In the present study, a DNA identity test was conducted on 344 samples of Hanwoo meat from large livestock product stores in Seoul between 2021 and 2022 to determine the authenticity of important label information, such as the traceability number. Traceability number mismatch was confirmed in 45 cases (13.1%). The mismatch rate decreased to 11.3% in 2022 from 14.7% in 2021, and the mismatch rate was higher in the northern region (16.9%) than in the southern region (10.2%). In addition, of the six brands, B and D showed satisfactory traceability system management, whereas E and A showed poor traceability system management, with significant differences (P<0.001). The actual traceability number confirmation rate was only 53.9% among the mismatch samples. However, examination of the authenticity of label information of the samples within the identified range revealed false marking in the order of the traceability number (13.1%), sex (2.9%), slaughterhouse name (2.2%), and grade (1.6%); no false marking of breed (Hanwoo) was noted. To prevent the distribution of erroneously marked livestock products, the authenticity of label information must be determined promptly. Therefore, a legal basis must be established mandating the filling of a daily work sheet, including the traceability number of beef, in partial meat subdivisions. Our findings can be used as reference data to guide the management direction of traceability systems for ensuring transparency in the distribution of livestock products.

• Journal of Intelligence and Information Systems
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• v.20 no.4
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• pp.89-105
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• 2014

After emergence of Internet, social media with highly interactive Web 2.0 applications has provided very user friendly means for consumers and companies to communicate with each other. Users have routinely published contents involving their opinions and interests in social media such as blogs, forums, chatting rooms, and discussion boards, and the contents are released real-time in the Internet. For that reason, many researchers and marketers regard social media contents as the source of information for business analytics to develop business insights, and many studies have reported results on mining business intelligence from Social media content. In particular, opinion mining and sentiment analysis, as a technique to extract, classify, understand, and assess the opinions implicit in text contents, are frequently applied into social media content analysis because it emphasizes determining sentiment polarity and extracting authors' opinions. A number of frameworks, methods, techniques and tools have been presented by these researchers. However, we have found some weaknesses from their methods which are often technically complicated and are not sufficiently user-friendly for helping business decisions and planning. In this study, we attempted to formulate a more comprehensive and practical approach to conduct opinion mining with visual deliverables. First, we described the entire cycle of practical opinion mining using Social media content from the initial data gathering stage to the final presentation session. Our proposed approach to opinion mining consists of four phases: collecting, qualifying, analyzing, and visualizing. In the first phase, analysts have to choose target social media. Each target media requires different ways for analysts to gain access. There are open-API, searching tools, DB2DB interface, purchasing contents, and so son. Second phase is pre-processing to generate useful materials for meaningful analysis. If we do not remove garbage data, results of social media analysis will not provide meaningful and useful business insights. To clean social media data, natural language processing techniques should be applied. The next step is the opinion mining phase where the cleansed social media content set is to be analyzed. The qualified data set includes not only user-generated contents but also content identification information such as creation date, author name, user id, content id, hit counts, review or reply, favorite, etc. Depending on the purpose of the analysis, researchers or data analysts can select a suitable mining tool. Topic extraction and buzz analysis are usually related to market trends analysis, while sentiment analysis is utilized to conduct reputation analysis. There are also various applications, such as stock prediction, product recommendation, sales forecasting, and so on. The last phase is visualization and presentation of analysis results. The major focus and purpose of this phase are to explain results of analysis and help users to comprehend its meaning. Therefore, to the extent possible, deliverables from this phase should be made simple, clear and easy to understand, rather than complex and flashy. To illustrate our approach, we conducted a case study on a leading Korean instant noodle company. We targeted the leading company, NS Food, with 66.5% of market share; the firm has kept No. 1 position in the Korean "Ramen" business for several decades. We collected a total of 11,869 pieces of contents including blogs, forum contents and news articles. After collecting social media content data, we generated instant noodle business specific language resources for data manipulation and analysis using natural language processing. In addition, we tried to classify contents in more detail categories such as marketing features, environment, reputation, etc. In those phase, we used free ware software programs such as TM, KoNLP, ggplot2 and plyr packages in R project. As the result, we presented several useful visualization outputs like domain specific lexicons, volume and sentiment graphs, topic word cloud, heat maps, valence tree map, and other visualized images to provide vivid, full-colored examples using open library software packages of the R project. Business actors can quickly detect areas by a swift glance that are weak, strong, positive, negative, quiet or loud. Heat map is able to explain movement of sentiment or volume in categories and time matrix which shows density of color on time periods. Valence tree map, one of the most comprehensive and holistic visualization models, should be very helpful for analysts and decision makers to quickly understand the "big picture" business situation with a hierarchical structure since tree-map can present buzz volume and sentiment with a visualized result in a certain period. This case study offers real-world business insights from market sensing which would demonstrate to practical-minded business users how they can use these types of results for timely decision making in response to on-going changes in the market. We believe our approach can provide practical and reliable guide to opinion mining with visualized results that are immediately useful, not just in food industry but in other industries as well.