• Journal of the Korea Society of Computer and Information
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• v.23 no.9
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• pp.7-13
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• 2018

Recent advancement in data gathering technique improves the capability of information collecting, thus allowing the learning process between gathered data patterns and application sub-tasks. A pattern can be associated with multiple labels, demanding multi-label learning capability, resulting in significant attention to multi-label feature selection since it can improve multi-label learning accuracy. However, existing evolutionary multi-label feature selection methods suffer from ineffective search process. In this study, we propose a evolutionary search process for the task of multi-label feature selection problem. The proposed method creates large set of offspring or new feature subsets and then retains the most promising feature subset. Experimental results demonstrate that the proposed method can identify feature subsets giving good multi-label classification accuracy much faster than conventional methods.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.7
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• pp.2459-2472
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• 2022

With the increase in copyright content exports to overseas markets due to the recent globalization of the Korean culture, the added value of the Korean digital content market is increasing at a significant rate. As such, as the size of the copyright market increases, different piracy sites have emerged that generate profits by illegally distributing works without the permission of the copyright holders, resulting in direct and indirect damage to these copyright holders. The existing copyright detection methods used in public institutions for solving this problem are limited, while the piracy sites are ever-changing. Methods are being continuously developed to achieve better detection results. To this end, it is possible to detect the latest infringement site domain by detecting the infringement site domain that is constantly changed through the search engine. This paper proposes an improved piracy site detection method using a search engine to prevent the damage caused by piracy sites.

• The Journal of Korean Medicine
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• v.30 no.4
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• pp.47-58
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• 2009

Objectives: Several domestic search systems for research projects providing capabilities of searching and managing the research information based on metadata have been completed, although they cannot search projects for specific domains such as the Oriental Medicine field. Therefore, in this paper we propose an effective method for collecting and refining information of research projects in the oriental medicine field. We also design and implement a search management system based on the collected information. Methods: We chose three search elements and defined the collecting process for research projects. The collected information was refined to enhance the quality of results. Then, the search management system was implemented by Adobe Flex. Results: We were able to collect 1,688 research projects in the oriental medicine field. We also implemented the search management system, which provides the functionalities of search and management such as input, update, delete, spreadsheet import/export of R&D projects, user management and access control. Conclusions: The collected information and the search management system will be used in a project analysis system which will be constructed in the future. The project analysis system could help to analyze trends in oriental medicine research as well as construct a technical roadmap.

• Korean Journal of Clinical Pharmacy
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• v.34 no.3
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• pp.164-174
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• 2024

Background: Health information should be accurate and of high quality. While search websites are widely used to obtain health information, search results can vary depending on the availability of information in each language and the algorithms of search websites. We compared the search results and their reliability on popular search websites in Korea and the United States. Methods: Using the most popular search websites in Korea (A) and the US (B), with B divided into KR and US domains, we evaluated the search results for three diseases (hypertension, diabetes, osteoporosis) and two medications (Lipitor, Norvasc). We compared the proportion of paid ads and website categories, as well as quality and accuracy using a validated scoring tool. Results: Search website A had a high proportion of paid ads (40.3%), compared to B KR (4.3%) and B US (0%). B US had the highest proportion of reliable websites (58.1%), followed by B KR (52.9%) and A (14.6%). B US had the highest median quality score (25) while A had the lowest (14). Additionally, B US had the highest accuracy (95%), followed by B KR (87.7%) and A (52.2%). Conclusions: Our data suggest that health information provided by popular search website in Korea is inaccurate and of low quality compared with that provided by its counterpart in the US. Users should prioritize credible websites, be cautious of ads, and seek professional advice. In addition, joint efforts from the government, search websites, and healthcare professionals are needed to provide accurate online health information.

• Journal of Information Processing Systems
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• v.8 no.3
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• pp.437-444
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• 2012

In this paper, we propose a method for predicting a user's location based on their past movement patterns. There is no restriction on the length of past movement patterns when using this method to predict the current location. For this purpose, a modified search tree has been devised. The search tree is constructed in an effective manner while it additionally learns the movement patterns of a user one by one. In fact, the time complexity of the learning process for a movement pattern is linear. In this process, the search tree expands to take into consideration more details about the movement patterns when a pattern that conflicts with an existing trained pattern is found. In this manner, the search tree is trained to make an exact matching, as needed, for location prediction. In the experiments, the results showed that this method is highly accurate in comparison with more complex and sophisticated methods. Also, the accuracy deviation of users of this method is significantly lower than for any other methods. This means that this method is highly stable for the variations of behavioral patterns as compared to any other method. Finally, 1.47 locations were considered on average for making a prediction with this method. This shows that the prediction process is very efficient.

• Journal of Digital Forensics
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• v.12 no.3
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• pp.83-96
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• 2018

Electronic medical records in the hospital information system are the important evidence related to the crime and are subject to search and seizure. In the case of a large general hospital, it is possible to search for seizures through cooperation of the staff, but it is impossible in small hospitals. The investigation agency copies the database of electronic medical records and then selects relevant content. This approach has an issue of excessive search and seizure. In this paper, we propose field selection procedures and methods for electronic medical records while ensuring integrity, reproducibility, and chain of custody. Currently, it is necessary to study the procedures and methods of search and seizure of medical information system so that it can respond to next changing cloud hospital information system.

• Journal of Korean Medical classics
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• v.25 no.4
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• pp.105-113
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• 2012

Objectives : Acquiring information from symptoms is one of the important method to gain clinically available information in korean medicine. Therefore, up to now, study of symptom terms was frequently implemented in promotion of various information project. In data extraction methods using symptom information from DB, information search using synonym and method using ontology is studied and utilized. However, considering concept of symptom has essential information of appeared body area and phenomenon we think that extending synonym and ontology relationship in symptom terms can be useful for search and set to this study. Methods : We collect terms relevant to human body area and structure described in Donguibogam. Synonymous relationship between collected terms is organized. Relationship between collected terms is build to human-body-knowledge table which has form of Concept+Relation+Concept. Type of relationship is limited on a range of expressing content about parts of human body. Result & Conclusion : Search condition is generated automatically using relationship of the upper area in knowledge table contents. Information of next and previous acupuncture point, upper and lower acupuncture point, left and right acupuncture point can be searched using information of acupuncture point location, order, relative position in area, direction in knowledge table contents.

• Journal of the Korea Society of Computer and Information
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• v.27 no.11
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• pp.57-66
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• 2022

In this paper, we propose a legal document search method that uses the Sentence-BERT model. The general public who wants to use the legal search service has difficulty searching for relevant precedents due to a lack of understanding of legal terms and structures. In addition, the existing keyword and text mining-based legal search methods have their limits in yielding quality search results for two reasons: they lack information on the context of the judgment, and they fail to discern homonyms and polysemies. As a result, the accuracy of the legal document search results is often unsatisfactory or skeptical. To this end, This paper aims to improve the efficacy of the general public's legal search in the Supreme Court precedent and Legal Aid Counseling case database. The Sentence-BERT model embeds contextual information on precedents and counseling data, which better preserves the integrity of relevant meaning in phrases or sentences. Our initial research has shown that the Sentence-BERT search method yields higher accuracy than the Doc2Vec or TF-IDF search methods.

• KIPS Transactions on Software and Data Engineering
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• v.9 no.6
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• pp.195-204
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• 2020

Nowadays there are over 1.6 billion web pages and it is hard to get necessary results that user wants. Most search engines allow you to search with logical form to get accurate results. However, normal users are not familiar to search information as logical form. Therefore, they search in natural language rather than in complicated logical form. In this paper there are some suggestions to improve quality of searching results, converting natural language input by the user into logical form which can able to use advanced search engine. Users tend to make short searches due to the 'Simplicity' which is one of the features of the search form. Therefore we suggest history retrieval method; advanced version of previous suggestion to provide convenience to the normal users. We had improvement on accuracy of the search results converting natural languages to logical form and also can contain every keyword without missing any keywords using searching methods on this paper. It is expected that these search methods will contribute to the development of search engines.

• Journal of Korean Society for Geospatial Information Science
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• v.4 no.2 s.8
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• pp.173-180
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• 1996

In a grid based data transformation, the different gridding methods provide different interpretations of scattered data because each method calculate grid node values using a different weighted mathematical algorithms. Therefore, it is necessary to review the interpolated characteristics of some gridding methods according to search distance, search area and search options before determing the best method with a data set. For this, in this paper, six different gridding methods with the same search conditions are applied to a scattered data obtained from sterro-plotter. The interpolated characteristics of the scattered geographic data considered through comparison of coincidence between the data point and the grid node being interpolated. And also, shows the real application of gridding methods through calculating volumes and creating cross sections.