• The Journal of Society for e-Business Studies
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• v.10 no.2
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• pp.109-132
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• 2005

With the flood of multimedia contents over the digital TV channels, the internet, and etc., users sometimes have a difficulty in finding their preferred contents, spend heavy surfing time to find them, and are even very likely to miss them while searching. In this paper we suggests two-step clustering technique using time schema on how the system can recommend the user's preferred contents based on the collaborative filtering that has been proved to be successful when new users appeared. This method maps and recommends users' profile according to the gender and age at the first step, and then recommends a probabilistic item clustering customers who choose the same item at the same time based on time schema at the second stage. In addition, this has improved the accuracy of predictions in recommendation and the efficiency in time calculation by reflecting feedbacks of the result of the recommender engine and dynamically update customers' preference.

• Korean Journal of Clinical Pharmacy
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• v.17 no.1
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• pp.19-32
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• 2007

Objectives : It is necessary to monitor consumption of drugs in order to enhance promote appropriate use of drugs. Defined Daily Dose(DDD) of World Health Organization(WHO) has been used for evaluating the amount of medicine use. However, DDD of some drugs must be determined for drugs in Korea which are not listed by WHO. Our formulary follows ourself classification and DDD of some drugs must be determined since they exist only in Korea. This study was aimed to determine DDD value using RAND Appropriateness Methods and evaluate the amount of antibiotics use using DDD value. Methods : J01 antibiotics of WHO anatomical therapeutic chemical(ATC) classification were extracted from drug formulary. Antibiotics list without DDD was identified to determine their DDD with comprehensive review of references and recommendation of experts. defined. Review of reference was executed. of Expert panels were comprised of clinical pharmacist and clinical doctors. Modified Delphi Method was applied by survey and consensus meeting. Amount of antibiotic use was calculated by DDD/1000 inhabitants/day in the national level using health insurance claim data. Results : The result of 1 round, DDD values of 28 ingredients were determined from the first round of consensus meeting. With 2nd round meeting, 3 ingredients were deleted and DDD of 17 ingredients were decided. Analysis of antibiotic use in health insurance claim data showed 22.97 DDD/1000 inhabitants/day in 2003 year. Conclusion : This study can contribute to the establishment of DDD assignment and thus quantifying drug uses.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.3
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• pp.1149-1155
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• 2016

Background: Examination of sentinel lymph node (SLN) biopsies provides accurate nodal staging for breast cancer and plays a key role in patient management. Procurement of SLNs and the methods used to process specimens are equally important. Increasing the level of detail in histopathological examination of SLNs increases detection of metastatic tumours but will also increase the burden of busy laboratories and thus may not be carried out routinely. Recommendation of a reasonable standard in SLN examination is required to ensure high sensitivity of results while maintaining a manageable practice workload. Materials and Methods: Twenty-four patients with clinically node-negative breast cancer were recruited. Combined radiotracer and blue dye methods were used for identification of SLNs. The nodes were thinly sliced and embedded. Serial sectioning and immunohistochemical (IHC) staining against AE1/AE3 were performed if initial H&E sections of the blocks were negative. Results: SLNs were successfully identified in all patients. Ten cases had nodal metastases with 7 detected in SLNs and 3 detected only in axillary nodes (false negative rate, FNR=30%). Some 5 out of 7 metastatic lesions in the SLNs (71.4%) were detected in initial sections of the thinly sliced tissue. Serial sectioning detected the remaining two cases with either micrometastases or isolated tumour cells (ITC). Conclusions: Thin slicing of tissue to 3-5mm thickness and serial sectioning improved the detection of micro and macro-metastases but the additional burden of serial sectioning gave low yield of micrometastases or ITC and may not be cost effective. IHC validation did not further increase sensitivity of detection. Therefore its use should only be limited to confirmation of suspicious lesions. False negative cases where SLNs were not involved could be due to skipped metastases to non-sentinel nodes or poor technique during procurement, resulting in missed detection of actual SLNs.

• Journal of the Korean Data and Information Science Society
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• v.24 no.6
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• pp.1189-1197
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• 2013

Data mining is the process of analyzing a huge database from different perspectives and summarizing it into useful information. One of the well-studied problems in data mining is association rule generation. Association rule mining finds the relationship among several items in massive volume database using the interestingness measures such as support, confidence, lift, etc. Typical applications for this technique include retail market basket analysis, item recommendation systems, cross-selling, customer relationship management, etc. But these interestingness measures cannot be used to establish a causality relationship between antecedent and consequent item sets. This paper propose causal association thresholds to compensate for this problem, and then check the three conditions of interestingness measures. The comparative studies with basic and causal association thresholds are shown by numerical example. The results show that causal association thresholds are better than basic association thresholds.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2003.10a
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• pp.504-507
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• 2003

These days, XML is accepted and used to e-commerce market broadly. But by reason of XML document has autonomy of expression that can exist same form logically but several other forms physically, several problems ran happen in application that judge effectiveness as physical form such as XML digital signature. Therefore, it is recommending to propose and use Canonical XML algorithm to change identical XML document physically equally logically in W3C to solve this problems. We implemented system that run Canonical XML algorithm that suggested in W3C that can change to more elaborate regular document. Thus, interpretable with other application that takes W3C recommendation. Also, as well as use in digital signature system for web service is useful, use in several system that physical identify is required when it exchanges XML document for web service interoperability are considered to be valuable. Moreover, Adding the transformation ability between universal encoding scheme and EUC-KR that is internal encoding scheme should be Canonical XML Algorithm that is suited to internal circumstances, and this should be a foundation technique of international interoperability confirmedness.

• Journal of the Korea Society of Computer and Information
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• v.25 no.5
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• pp.99-106
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• 2020

The scalability problem inherent in collaborative filtering-based recommender systems has been an issue in related studies during past decades. Clustering is a well-known technique for handling this problem, but has not been actively studied due to its low performance. This paper adopts a clustering method to overcome the scalability problem, inherent drawback of collaborative filtering systems. Furthermore, in order to handle performance degradation caused by applying clustering into collaborative filtering, we take two strategies into account. First, we use fuzzy clustering and secondly, we propose and apply a similarity estimation method based on user preference for movie genres. The proposed method of this study is evaluated through experiments and compared with several previous relevant methods in terms of major performance metrics. Experimental results show that the proposed demonstrated superior performance in prediction and rank accuracies and comparable performance to the best method in our experiments in recommendation accuracy.

• Restorative Dentistry and Endodontics
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• v.24 no.4
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• pp.628-632
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• 1999

Currently electronic apex locators have been widely used to determine working length in endodontic treatment. According to Manufacture's recommendation, it is beneficial to find the working length before instrumenting the canal. However, in crown-down pressureless technique, working length of tooth is established following coronal instrumentation 3mm short of radiographic apex. In narrow canals, mechanically formed constriction might be established by coronal instrumentation in some distance from anatomical constriction. The purpose of this study was to evaluate the accuracy of Root-ZX in the canal with mechanical constriction following considerable coronal enlargement with ProFile .06 series. The 40 root canals in 30 extracted mandibular molars were accessed, and their actual length (AL) established by passing a size 10 file just through the minor apical foramen. The teeth were then embedded in an acrylic container with normal saline. The initial canal length(IL) was measured with Root-ZX by negotiating a size 10 file to the apical constriction. The canal was sequentially enlarged to size 40 with ProFile .06 file 3mm short of actual length. The enlarged final canal lengths (FL) were obtained with a size 15 file. The average values of IL, FL were calculated and compared using Repeated measures Analysis of Variance followed Turkey's Studentized Range test. The results were obtained as follows: 1. The initial canal length was 0.12mm shorter than actual canal length(P>0.05). 2. The differences between initial canal length and final canal length were not significant(P>0.05). 3. As a result of this study, regardless of mechanically formed constriction. Root-ZX differentiated between mechanical and anatomic constriction.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.7 no.8
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• pp.1698-1707
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• 2003

These days, XML is accepted and used to e commerce market broadly. But by reason of XML document can exist same form logically but several other forms physically, several problems can happen in application that judge effectiveness as physical form such as XML digital signature. Therefore, it is recommending to propose and use canonical XML algorithm to change identical XML document physically equally logically in W3C to solve this problems. We implemented system that nm Canonical XML algorithm that suggested in W3C that can change to mon elaborate regular document. Thus, interoperable with other application that takes W3C recommendation Also, as well as use in digital signature system for web service is useful, use in several system that physical identify is required when it exchanges na document for web service interoperability are considered to be valuable. Moreover, Adding the transformation ability between universal encoding scheme and EUC­KR that is internal encoding scheme should be Canonical XML Algorithm that is suited to internal circumstances, and this should be a foundation technique of international interoperability confirmedness.

• Journal of KIISE:Software and Applications
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• v.31 no.12
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• pp.1672-1683
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• 2004

Recommender system is a kind of web intelligence techniques to make a daily information filtering for people. Researchers have developed collaborative recommenders (social recommenders), content-based recommenders, and some hybrid systems. In this paper, we introduce a new hybrid recommender method - ICHM where clustering techniques have been applied to the item-based collaborative filtering framework. It provides a way to integrate the content information into the collaborative filtering, which contributes to not only reducing the sparsity of data set but also solving the cold start problem. Extensive experiments have been conducted on MovieLense data to analyze the characteristics of our technique. The results show that our approach contributes to the improvement of prediction quality of the item-based collaborative filtering, especially for the cold start problem.

• Journal of the Korean Society for Nondestructive Testing
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• v.22 no.1
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• pp.32-37
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• 2002

The presence of hydrogen in industrial plants is a source of damage. Hydrogen attack is one such form of degradation and often causing large tube ruptures that necessitate an immediate shutdown. Hydrogen attack may reduce the fracture toughness as well as the strength of steels. This reduction is caused partially by the presence of cavities and microcracks at the grain boundaries. In the past several techniques have been used with limited results. This paper describes the application of an ultrasonic velocity and attenuation in hydrogen damage. Ultrasonic tests showed a decrease in wave velocity and an increase in attenuation. Such results demonstrate the potential for ultrasonic nondestructive testing to quantify damage. Based on this study, reliable recommendation is suggested to detect hydrogen attack.