• Journal of Korean society of Dental Hygiene
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• v.6 no.4
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• pp.437-453
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• 2006

To analyze dental hygienists and other manpower at dental care service institutions where a dental coordinator was working among about 200 dental care service institutions in Seoul, Gyeonggi Province, and Incheon as of June 2005 for contents of training for dental coordinators, opinions of qualification of dental coordinators, present and future services provided by dental coordinators, and awareness of dental coordinators and to provide basic data about future services, roles, and cultivation of dental coordinators, a survey was conducted and 216 copies returned were analyzed, obtaining the following results. 1. 83.8 percent needed an educational program for dental coordinators as an educational content; 41.7% had awareness of the educational content; and 83.8 percent insisted that over the intermediate level of curricula should be taken. Dental coordinator cultivation institutions identified included the institution under the control of the Korean Dental Hygienists Association and the education center for the department of dental hygiene; 76.9% insisted that an appropriate qualifying examination should be necessary. They suggested the central government department and the local government as a certification institution; 39.4% insisted that financial support for the education should be provided by financing education alone. Only 28.7% experienced dental coordinator education and 73.1% hoped to serve as a dental coordinator. They were found to expect a rise in payment(64.4%) and in the title(46.8%) after completion of the educational program. 2. 66.2% saw a dental hygienist as the most appropriate for a dental coordinator; clinical career (39.4%) and practical capacity(29.2%) were suggested as requirements for a dental coordinator; and a period of over three years(47.2%) was suggested for appropriate dental career. 3. Dental coordinators' present services included 'reservation management' for customer management, 'staff service training' for organization management, 'understanding of customer reception attitudes and actions' for self-management, 'hospital information management' for hospital marketing, 'acceptance' for hospital affairs management, and 'hospital environment management' for hospital facilities management; their future services included 'acquisition of ability to use a foreign language' for self-management, followed by 'staff service training' for organization management, 'training and counseling' for customer management, 'acquisition of counseling capacity' for self-management, 'complaining customer reception' for customer management, and 'marketing strategy implementation' for hospital marketing. 4. After comparing dental hygienists and other manpower in terms of dental coordinators' future services, dental hygienists showed interest in 'acquisition of ability to use a foreign language,' 'staff service training,' 'complaining customer reception,' and 'acquisition of counseling capacity' while other manpower showed interest in 'acquisition of ability to use a foreign language,' 'document data management,' 'acquisition of basic service manner,' 'acquisition of counseling capacity,' 'manpower management,' 'establishment and evaluation of a marketing strategy,' and 'education and counseling.' 5. As for awareness of dental coordinators, they were thought of as helpful in improving image of a dental clinic; it was found that continuous training should be necessary to develop dental coordinators' capacity; dental coordinators' services should be important and contribute to patients' qualitative satisfaction.

• Journal of dental hygiene science
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• v.9 no.5
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• pp.507-511
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• 2009

The purpose of this study is to analyze the dental service system in correctional institutions and 10 find the factors for improving inmates' oral health. This study is comprised of document review, telephone and questionnaire survey. The subjects of questionnaire survey are public health dentists and doctors in correctional institutions. They responded to questionnaire and the survey was collected from previous research and selected information about the dental service system. The findings of the study were as follow : Documentary survey 1. According to 2004's study, there are 42 dental offices in 46 all correctional institutions. 2. Criminals who took an health examination occupied 69.0% when committed to a jail in 2002's study. Majorities of them(81.5%) responded that they didn't take any oral examination. Telephone & Questionnaire survey 1. Full-time public health dentists are 26 in 2009. There is no correctional institution having oral health providers in 26 correctional institutions surveyed. 2 About 10 patients use the dental services in a day. Part-time dentists visit 4 times a month as average in 80% of institutions. 40% of institutions responded dental treatments can't be progressed conveniently because of the lack of oral health providers. 3. 80% of respondents answered that it is hard to cure prisoners, and that's because they are forbidden to get out of the institutions. 4. Only 20% of correctional institutions offered the oral hygiene instructions. There is no regular oral hygiene education for all inmates. 5. They need to increase the number of oral health providers.

• The Korean Journal of Archival Studies
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• no.24
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• pp.113-171
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• 2010

The purpose of this study was to examine the characteristics of Seoul Olympic Organizing Committee's official documents. To conduct this work, the fundamental of producing archives were examined by analyzing structure and management of Seoul Olympic Organizing Committee and structure of official document production. After all, simultaneous and synthesis characteristics of Seoul Olympic Organizing Committee's official documents were presented through overall analysis of production fundamental and relationship between their management and remained archives. The result of this study are as follows. Firstly, The Organizing Committee had bicameral organizational structure and matrix organizational format consisting of functional department and project department. Indicating the institutions and development phase of decision making in the committee, most of institutions were in name only. Also, there were many problems occurred in the procedure of decision making since the president of committee exercised all of the authorities. Secondly, It was found that existing official documents of the committee were partial and caused fragment phenomenon and severe situations because of unsystematic archival management department and regulations. Moreover, as the result of investigating production procedure and management of official documents, procedure of production, distribution, preservation and abolition of them were specifically verified. Thirdly, It was verified that the official documents were abolished arbitrarily because of unsystematic archival management department and insufficient regulations. For the actual condition of management, filing or description activity which is essential measure for using and utilizing the official documents has not been conducted yet. Based on these facts, the characteristics of Seoul Olympic Organizing Committee's official documents can be referred as follows. The official archives of the committee have multiplicity of the origin and severe fragment phenomenon damaging the origin and the elementary substance of the archives. Also, the format of existing archives was unbalance. Besides, there was not enough related research since they were in adverse situation to utilize them as the archives which are not assessed or not arranged. Thus, it was hard to grasp the utility value at present and future, and was also limited for usage object.

• Korean Journal of Heritage: History & Science
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• v.52 no.3
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• pp.200-221
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• 2019

The National Hangeul Museum houses a document list of the wedding gifts that Queen Sunwon granted her royal son-in-law, Nam Nyeong-wie, in August 1837. A total of 55 items were recorded in Hangeul Gungseo style on yellow paper. This list included four types of government officials' uniforms, casual wear, accessories, etc. The results of studying the 19th-century male officials' uniforms through this historic record were as follows. The clothing record in the List of Wedding Gifts was more accurate than that in the Dukongongju Garyedeungrok. The four types of government official uniforms for Nam Nyeong-wie included jeobok, sangbok, sibok, and gongbok. For the joebok, there was geumkwan, daehong-hangrah joebok, baeksam, ahole, seodae, gakpae, peseul, paeok, husu, and mokhwa. The record of the List confirms that baeksam was used as jungdan for joebok. For the gongbok, there was daehong-hangrah gongbok, blue seolhancho duhgre, blue saenggyeonggwangju changui, and green waehangrah kurimae. The record of the List shows that the lining of the gongbok was duhgre, and confirms, for the first time, that changui and kurimae were worn inside the gongbok. For the sangbok, there was samo, ssanghakhyungbae embroidered with golden thread, dark green cloud patterned gapsa gwandae, blue cloud patterned gapsa duhgre, blue ssangmuncho changui, and Chinese purple hwamunsa kurimae. For the sibok, there was pink gwangsa gwandae, and blue gwangcho duhgre. For the lining, blue duhgre was used. Lastly, the fabrics used for those costumes were all suitable for the climate in August.

• Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
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• 2013.11a
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• pp.23-24
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• 2013

Micrometeorological fluxes measured over a tall forest in a complex terrain are difficult to interpret. $CO_2$ storage often makes significant contributions to net ecosystem exchange of $CO_2$ (NEE) in early morning and during nighttime due to calm and stable conditions. We measured the above-canopy $CO_2$ flux along with its concentration profiles at eight levels within and above the canopy to evaluate $CO_2$ storage term. Our question is whether or not the $CO_2$ storage term can be estimated accurately from a single level measurement of $CO_2$ concentration in a complex terrain. Our objectives are (1) to document vertical profiles of $CO_2$ concentration and (2) to compare the diurnal and seasonal variations of $CO_2$ storages estimated from single and multi-level $CO_2$ concentration data. Seasonally averaged Diurnal variations of $CO_2$ concentration ranged from 398 to 455 ppm near the forest floor at 0.1 m whereas they ranged from 364 to 395 ppm at 40 m in the atmosphere. The diurnal variation of vertical profiles of $CO_2$ concentration shows very interesting features with season. At all eight levels, diurnal variation of $CO_2$ concentration showed little change in winter. In spring, the diurnal variations of $CO_2$ concentration at 8 levels showed three distinct groups of layers with height: the first layer: 0.1m (near surface), second layer: 1.0 m and 4.0m (below canopy) and the third layer: 7.4m to 40.7 m (near canopy and above). In summer, these three groups of layers were further separated with larger variations whereas such distinction became smaller in fall. The diurnal variation of $CO_2$ concentration in the first three layers near surface always showed higher concentration with larger variability. Typically, $CO_2$ concentration showed peaks in early morning and in the evening. After the evening peak, $CO_2$ concentration gradually increased except for those near the surface (i.e., 0.1, 1.0 and 4.0 m) where the concentrations actually decreased. We suspect that this could be attributed to the drainage flow of $CO_2$ along the hill slope from the headwater to downstream, which is not taken into account for net ecosystem $CO_2$ exchange. In comparison to the results of other studies, the distinct and different vertical structures of $CO_2$ concentrations observed at our site may be due to complex terrain and weak turbulent mixing under calm conditions at the site. The annual mean of diurnal variation of $CO_2$ storage flux from single level ranged from -0.6 to $0.9{\mu}mol\;m^{-2}s^{-1}$ and from multi-level from -1.2 to $1.0{\mu}\;{\mu}mol\;m^{-2}s^{-1}$. When compared against the results from the multi-level concentrations, the storage flux estimated from a single-level concentration was generally adequate except for specific hours near sunrise and sunset. Further details and their implication will be discussed in the presentation.

• MISULJARYO - National Museum of Korea Art Journal
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• v.98
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• pp.78-103
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• 2020

Transcribed Buddhist sutras generally consist of a frontispiece illustration, sutra illustrations, and sutra text, although some parts may be lost over time. Most transcribed sutras originally include an official record of the transcription (saseonggi) at either the beginning or end of the volume, which document various details of the production, including who commissioned the sutra and when it was transcribed. If such records are unavailable or difficult to decipher, the date of the sutra can only be estimated by comparison to other works with known production dates. This is the case with Korean Treasure #978, the "Transcription of the Avatamsaka Sutra (Zhou Version) in Gold on White Paper" (hereinafter, "Avatamsaka Sutra, Volume 29"), which does not contain any details of its production. Based on formal comparisons, the volume has been estimated to date from the early Joseon period. Important criteria for estimating the production date include the type of calligraphy script and the overall expression of the sutra illustrations. However, these features are missing from some early Joseon sutras, making it difficult to definitively assert which characteristics are representative of the period. Also, transcribed sutras from the late Goryeo period (after 1350) and early Joseon period are often very similar in terms of the expression of the frontispiece illustrations and sutra illustrations. From the late Goryeo period through the early Joseon period, the illustrations of transcribed sutras, which had previously been relatively detailed and realistic, gradually became more formalized and stylized. Significantly, Avatamsaka Sutra, Volume 29 includes illustrations showing both styles of expression (i.e., realistic and formalized). Moreover, the hemp leaf design on the frontispiece and the border around the sutra illustrations are unique features that have never been seen on any other transcribed sutras. Notably, however, Avatamsaka Sutra in Gold on White Paper, Volume 26 (hereinafter, "Avatamsaka Sutra, Volume 26"), which has not yet been introduced in academic research, is complete with frontispiece, sutra illustrations, and sutra text. This sutra is identical to Avatamsaka Sutra, Volume 29 in size, composition, and details, and is thus estimated to have been produced at the same time and by the same patrons. According to the record at the end of the volume, Avatamsaka Sutra, Volume 26 was commissioned in 1348 by Gi Cheol (d. 1365), which corresponds to the estimated date of Avatamsaka Sutra, Volume 29 derived by formal comparison. Based on this new information, Avatamsaka Sutra, Volume 29 was likely produced in the late Goryeo period rather than the early Joseon period, as has previously been presumed. The new study of Avatamsaka Sutra, Volume 26 also seems to confirm that both sutras were transcribed by highly skilled artisans in 1348 of the late Goryeo period, a transitional phase in the expression of sutra illustrations.

• Journal of Practical Agriculture & Fisheries Research
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• v.23 no.2
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• pp.71-86
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• 2021

This study was conducted to find information on the university's image from words related to 'Korea National College of Agriculture and Fisheries (KNCAF)' in Naver News. For this purpose, word frequency analysis, TF-IDF evaluation and semantic network analysis were performed using web crawling technology. In word frequency analysis, 'agriculture', 'education', 'support', 'farmer', 'youth', 'university', 'business', 'rural', 'CEO' were important words. In the TF-IDF evaluation, the key words were 'farmer', 'dron', 'agricultural and livestock food department', 'Jeonbuk', 'young farmer', 'agriculture', 'Chonju', 'university', 'device', 'spreading'. In the semantic network analysis, the Bigrams showed high correlations in the order of 'youth' - 'farmer', 'digital' - 'agriculture', 'farming' - 'settlement', 'agriculture' - 'rural', 'digital' - 'turnover'. As a result of evaluating the importance of keywords as five central index, 'agriculture' ranked first. And the keywords in the second place of the centrality index were 'farmers' (Cc, Cb), 'education' (Cd, Cp) and 'future' (Ce). The sperman's rank correlation coefficient by centrality index showed the most similar rank between Degree centrality and Pagerank centrality. The KNCAF articles of Naver News were used as important words such as 'agriculture', 'education', 'support', 'farmer', 'youth' in terms of word frequency. However, in the evaluation including document frequency, the words such as 'farmer', 'dron', 'Ministry of Agriculture, Food and Rural Affairs', 'Jeonbuk', and 'young farmers' were found to be key words. The centrality analysis considering the network connectivity between words was suitable for evaluation by Cd and Cp. And the words with strong centrality were 'agriculture', 'education', 'future', 'farmer', 'digital', 'support', 'utilization'.

• The Journal of Korean Medicine
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• v.45 no.1
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• pp.182-201
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• 2024

Objectives: This study was conducted to develop a standard acupotomy consent form that takes into account the unique characteristics of Korean Medicine. The study was motivated by the increasing importance of patient autonomy and the growing number of legal disputes related to medical malpractice in the clinical field of Korean Medicine. Methods: The analysis phase of the study involved a survey of the current status of acupotomy consent forms in Korean Medicine hospitals nationwide. The items of each form were analyzed based on the contents of the Medical law and the standard contract for medical procedures of the Fair Trade Commission (FTC). In the development and evaluation phase, the items and contents of the acupotomy consent form were evaluated using a 5-point Likert scale and content validity was assessed through two rounds of Delphi surveys. In the improvement phase, the contents of the consent form were revised based on the results of a survey of inpatient and outpatient patients in the Department of Acupuncture and Moxibustion at Pusan National University Korean Medicine Hospital, and real-time online meeting. The final version of the standard acupotomy consent form was completed after undergoing proofreading and corrections by a linguistics expert. Results: Only 30% of Korean Medicine hospitals have implemented acupotomy consent forms. The items of the consent forms did not fully include the items presented in the Medical act and the standard contract for medical procedures of the FTC. To address this issue, two rounds of Delphi surveys and a real-time discussion were conducted with a panel of 12 experts on 27 preliminary items of consent forms. The items and contents that met the criteria for content validity ratio, convergence, and consensus were derived. Based on the derived items and content, a standard acupotomy consent form was developed. Conclusions: The standard consent form for acupotomy is anticipated to ensure patient autonomy and enhance transparency and liability in acupotomy. Furthermore, it is expected to serve as evidence in case of medical disputes related to acupotomy and contribute as a reference document for the development of standard consents forms for various procedures of Korean Medicine. However, the limitations of the study include that the survey of consent forms was limited to only training hospitals of Korean Medicine, and the standard consent form is only applicable to adults in Korea. Future studies are needed to address these limitations.

• Asia pacific journal of information systems
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• v.21 no.2
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• pp.89-116
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• 2011

In collaborative tagging systems such as Delicious.com and Flickr.com, users assign keywords or tags to their uploaded resources, such as bookmarks and pictures, for their future use or sharing purposes. The collection of resources and tags generated by a user is called a personomy, and the collection of all personomies constitutes the folksonomy. The most significant need of the folksonomy users Is to efficiently find useful resources or experts on specific topics. An excellent ranking algorithm would assign higher ranking to more useful resources or experts. What resources are considered useful In a folksonomic system? Does a standard superior to frequency or freshness exist? The resource recommended by more users with mere expertise should be worthy of attention. This ranking paradigm can be implemented through a graph-based ranking algorithm. Two well-known representatives of such a paradigm are Page Rank by Google and HITS(Hypertext Induced Topic Selection) by Kleinberg. Both Page Rank and HITS assign a higher evaluation score to pages linked to more higher-scored pages. HITS differs from PageRank in that it utilizes two kinds of scores: authority and hub scores. The ranking objects of these pages are limited to Web pages, whereas the ranking objects of a folksonomic system are somewhat heterogeneous(i.e., users, resources, and tags). Therefore, uniform application of the voting notion of PageRank and HITS based on the links to a folksonomy would be unreasonable, In a folksonomic system, each link corresponding to a property can have an opposite direction, depending on whether the property is an active or a passive voice. The current research stems from the Idea that a graph-based ranking algorithm could be applied to the folksonomic system using the concept of mutual Interactions between entitles, rather than the voting notion of PageRank or HITS. The concept of mutual interactions, proposed for ranking the Semantic Web resources, enables the calculation of importance scores of various resources unaffected by link directions. The weights of a property representing the mutual interaction between classes are assigned depending on the relative significance of the property to the resource importance of each class. This class-oriented approach is based on the fact that, in the Semantic Web, there are many heterogeneous classes; thus, applying a different appraisal standard for each class is more reasonable. This is similar to the evaluation method of humans, where different items are assigned specific weights, which are then summed up to determine the weighted average. We can check for missing properties more easily with this approach than with other predicate-oriented approaches. A user of a tagging system usually assigns more than one tags to the same resource, and there can be more than one tags with the same subjectivity and objectivity. In the case that many users assign similar tags to the same resource, grading the users differently depending on the assignment order becomes necessary. This idea comes from the studies in psychology wherein expertise involves the ability to select the most relevant information for achieving a goal. An expert should be someone who not only has a large collection of documents annotated with a particular tag, but also tends to add documents of high quality to his/her collections. Such documents are identified by the number, as well as the expertise, of users who have the same documents in their collections. In other words, there is a relationship of mutual reinforcement between the expertise of a user and the quality of a document. In addition, there is a need to rank entities related more closely to a certain entity. Considering the property of social media that ensures the popularity of a topic is temporary, recent data should have more weight than old data. We propose a comprehensive folksonomy ranking framework in which all these considerations are dealt with and that can be easily customized to each folksonomy site for ranking purposes. To examine the validity of our ranking algorithm and show the mechanism of adjusting property, time, and expertise weights, we first use a dataset designed for analyzing the effect of each ranking factor independently. We then show the ranking results of a real folksonomy site, with the ranking factors combined. Because the ground truth of a given dataset is not known when it comes to ranking, we inject simulated data whose ranking results can be predicted into the real dataset and compare the ranking results of our algorithm with that of a previous HITS-based algorithm. Our semantic ranking algorithm based on the concept of mutual interaction seems to be preferable to the HITS-based algorithm as a flexible folksonomy ranking framework. Some concrete points of difference are as follows. First, with the time concept applied to the property weights, our algorithm shows superior performance in lowering the scores of older data and raising the scores of newer data. Second, applying the time concept to the expertise weights, as well as to the property weights, our algorithm controls the conflicting influence of expertise weights and enhances overall consistency of time-valued ranking. The expertise weights of the previous study can act as an obstacle to the time-valued ranking because the number of followers increases as time goes on. Third, many new properties and classes can be included in our framework. The previous HITS-based algorithm, based on the voting notion, loses ground in the situation where the domain consists of more than two classes, or where other important properties, such as "sent through twitter" or "registered as a friend," are added to the domain. Forth, there is a big difference in the calculation time and memory use between the two kinds of algorithms. While the matrix multiplication of two matrices, has to be executed twice for the previous HITS-based algorithm, this is unnecessary with our algorithm. In our ranking framework, various folksonomy ranking policies can be expressed with the ranking factors combined and our approach can work, even if the folksonomy site is not implemented with Semantic Web languages. Above all, the time weight proposed in this paper will be applicable to various domains, including social media, where time value is considered important.

• Journal of Intelligence and Information Systems
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• v.25 no.4
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• pp.141-154
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• 2019

Rapid growth of internet technology and social media is progressing. Data mining technology has evolved to enable unstructured document representations in a variety of applications. Sentiment analysis is an important technology that can distinguish poor or high-quality content through text data of products, and it has proliferated during text mining. Sentiment analysis mainly analyzes people's opinions in text data by assigning predefined data categories as positive and negative. This has been studied in various directions in terms of accuracy from simple rule-based to dictionary-based approaches using predefined labels. In fact, sentiment analysis is one of the most active researches in natural language processing and is widely studied in text mining. When real online reviews aren't available for others, it's not only easy to openly collect information, but it also affects your business. In marketing, real-world information from customers is gathered on websites, not surveys. Depending on whether the website's posts are positive or negative, the customer response is reflected in the sales and tries to identify the information. However, many reviews on a website are not always good, and difficult to identify. The earlier studies in this research area used the reviews data of the Amazon.com shopping mal, but the research data used in the recent studies uses the data for stock market trends, blogs, news articles, weather forecasts, IMDB, and facebook etc. However, the lack of accuracy is recognized because sentiment calculations are changed according to the subject, paragraph, sentiment lexicon direction, and sentence strength. This study aims to classify the polarity analysis of sentiment analysis into positive and negative categories and increase the prediction accuracy of the polarity analysis using the pretrained IMDB review data set. First, the text classification algorithm related to sentiment analysis adopts the popular machine learning algorithms such as NB (naive bayes), SVM (support vector machines), XGboost, RF (random forests), and Gradient Boost as comparative models. Second, deep learning has demonstrated discriminative features that can extract complex features of data. Representative algorithms are CNN (convolution neural networks), RNN (recurrent neural networks), LSTM (long-short term memory). CNN can be used similarly to BoW when processing a sentence in vector format, but does not consider sequential data attributes. RNN can handle well in order because it takes into account the time information of the data, but there is a long-term dependency on memory. To solve the problem of long-term dependence, LSTM is used. For the comparison, CNN and LSTM were chosen as simple deep learning models. In addition to classical machine learning algorithms, CNN, LSTM, and the integrated models were analyzed. Although there are many parameters for the algorithms, we examined the relationship between numerical value and precision to find the optimal combination. And, we tried to figure out how the models work well for sentiment analysis and how these models work. This study proposes integrated CNN and LSTM algorithms to extract the positive and negative features of text analysis. The reasons for mixing these two algorithms are as follows. CNN can extract features for the classification automatically by applying convolution layer and massively parallel processing. LSTM is not capable of highly parallel processing. Like faucets, the LSTM has input, output, and forget gates that can be moved and controlled at a desired time. These gates have the advantage of placing memory blocks on hidden nodes. The memory block of the LSTM may not store all the data, but it can solve the CNN's long-term dependency problem. Furthermore, when LSTM is used in CNN's pooling layer, it has an end-to-end structure, so that spatial and temporal features can be designed simultaneously. In combination with CNN-LSTM, 90.33% accuracy was measured. This is slower than CNN, but faster than LSTM. The presented model was more accurate than other models. In addition, each word embedding layer can be improved when training the kernel step by step. CNN-LSTM can improve the weakness of each model, and there is an advantage of improving the learning by layer using the end-to-end structure of LSTM. Based on these reasons, this study tries to enhance the classification accuracy of movie reviews using the integrated CNN-LSTM model.