• Journal of Korea Multimedia Society
• /
• v.14 no.6
• /
• pp.730-741
• /
• 2011

With the development of the internet and computer technology, the amount of information through the internet is increasing rapidly and it is managed in document form. For this reason, the research into the method to manage for a large amount of document in an effective way is necessary. The conventional document categorization method used only the keywords of related documents for document classification. However, this paper proposed keyword extraction method of based on association rule. This method extracts a set of related keywords which are involved in document's category and classifies representative keyword by using the classification rule proposed in this paper. In addition, this paper proposed the preprocessing method for efficient keywords creation and predicted the new document's category. We can design the classifier and measure the performance throughout the experiment to increase the profile's classification performance. When predicting the category, substituting all the classification rules one by one is the major reason to decrease the process performance in a profile. Finally, this paper suggested automatically categorizing plan which can be applied to hierarchical category architecture, extended from simple category architecture.

• Journal of Digital Contents Society
• /
• v.15 no.4
• /
• pp.559-568
• /
• 2014

Previous polarity classification using sentiment analysis utilizes a sentence rule by product reviews based rating points. It is difficult to be applied to blogs which have not rating of product reviews and is possible to fabricate product reviews by comment part-timers and managers who use web site so it is not easy to understand a product and store reviews which are reliability. Considering to these problems, if we analyze blogs which have personal and frank opinions and classify polarity, it is possible to understand rightly opinions for the product, store. This paper suggests that we extract high frequency vocabularies in blogs by several domains and choose topic words. Then we apply a technique of sentiment analysis and classify polarity about contents of blogs. To evaluate performances of sentiment analysis, we utilize the measurement index that use Precision, Recall, F-Score in an information retrieval field. In a result of evaluation, using suggested sentiment analysis is the better performances to classify polarity than previous techniques of using the sentence rule based product reviews.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.21 no.12
• /
• pp.107-114
• /
• 2020

Technologies related scan-to-BIM for BIM-based reverse engineering techniques are beginning to be actively introduced in the A.E.C. industry, and the scalability of the technology is growing considerably. This study uses patent analysis based on objective data to find the right direction for Korean Scan-to-BIM technology by identifying the trends in Korea, the United States, Europe, and Japan. This was done using the WIPSON patent search system to find previous research on patent analysis related to building technology, theoretical consideration of scan-to-BIM technology, and published patents. We collected information, verified the process, and extracted valid patents. We used the effective patent data to analyze the annual trend of patent applications, national trends, and technological trends through the International Patent Classification (IPC) code, the types of the top 20 major applicants, and family patent trends.

• Journal of Korea Multimedia Society
• /
• v.10 no.7
• /
• pp.817-826
• /
• 2007

The existing a music genre classification research used signal feature of the part which gets 20 seconds interval of the random or the $40%{\sim}45%$ after in the music. This paper propose it to increase the accuracy of existing research to classify music genre using climax part in the music. Generally the music is divided to three parts; introduction, progress and climax. And the climax is the part which the music emphasizes and expresses the feature of the music best. So, we can get efficient result if the climax is used, when the music classify. We can get the climax in the music finding the tempo and node which uses FFT and the maximum waveform from each node. In this paper, we did a genre classification experiment which uses existing research method and proposing method. The existing method expressed 47% accuracy. And proposing method expressed 56% accuracy which is improved than existing method.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2007.06a
• /
• pp.201-204
• /
• 2007

In this paper, we research the content-based analysis and classification according to the composition of the feature parameters pool for the auditory signals to implement the auditory indexing and searching system. Auditory data is classified to the primitive various auditory types. we described the analysis and feature extraction method for the feature parameters available to the auditory data classification. And we compose the feature parameters pool in the indexing group unit, then compare and analysis the auditory data centering around the including level and indexing criterion into the audio categories. Based on this result, we composit feature vectors of audio data according to the classification categories, then experiment the classification using discrimination function.

• Proceedings of the Korea Contents Association Conference
• /
• 2007.11a
• /
• pp.238-242
• /
• 2007

The existent UCC sites display only finalized contents by publisher. It dose not provide any platform for resources of UCC that public users could reorganize. This paper has developed a platform to be able to produce reusable content using the scenes of the contents and produced a 3D animation with multiple story. It is necessary for user to search the provided contents for easy reorganization of the contents. The scene is classified by the description and information of the scene for handy search. It is obscure for a movie clip to be represent with only one word. Therefore, the proposed platform provides the search technique with a overlapping choice for the specific categories that include most of elements for the scene. Then the user can choose a specific range of the selected movie clip, make a new story with reorganizing the order, and put a caption or BGM on the movie clip. The complete movie clip has the search preferences as a category, new clips, and top favorites. With the Multi-Story line concept, we made a 3D animation about episodes of thermal dolls in the Doll World. This attempt will come to the new marketing way for a field of the visual media like as Music Video, Drama, Feature Film, Commercial Film.

• Journal of KIISE:Software and Applications
• /
• v.27 no.1
• /
• pp.62-73
• /
• 2000

In this paper, we propose a criteria which can be applied to classify conventional color feature based Content Based Image Retrieval (CBIR) methods with its application areas, and a new image retrieval method which can represent sufficient spatial information in the image and is powerful in invariant searching to translation, rotation and enlargement transform. As the conventional color feature based CBIR methods can not sufficiently include the spatial information in the image, in general, they have drawbacks, which are weak to the translation or rotation, enlargement transform. To solve it, they have represented the spatial information by partitioning the image. Retrieval efficiency, however, is decreased rapidly as increasing the number of the feature vectors. We classify conventional methods to ones using 1st order relations and ones using 2nd order relations as their color object relation, and propose a new method using 3rd order relation of color objects which is good for the translation, rotation and enlargement transform. It makes quantized 24 buckets and selects 3 high scored histogram buckets and calculates 3 mean positions of pixels in 3 buckets and 3 angles. Then, it uses them as feature vectors of a given image. Experiments show that the proposed method is especially good at enlarged images and effective for its small calculation.

• Journal of Korea Multimedia Society
• /
• v.11 no.11
• /
• pp.1601-1614
• /
• 2008

The number of web service users has been increased rapidly as existing services are changed into the web-based internet applications. Therefore, it is necessary for us to use web log pre-processing technique to detect attacks on diverse web service transactions and it is also possible to extract web mining information. However, existing mechanisms did not provide efficient pre-processing procedures for a huge volume of web log data. In this paper, we proposed both a field based parsing and a high-speed log indexing mechanism based on the suggested B-tree Index Vector structure for performance enhancement. In experiments, the proposed mechanism provides an efficient web log pre-processing and search functions with a session classification. Therefore it is useful to enhance web attack detection function.

• Journal of Digital Convergence
• /
• v.11 no.10
• /
• pp.437-443
• /
• 2013

This thesis enhanced the degree of utilization of smart phone through carrying out the application/app. which search and visit matjip (reputable restaurant) at the travel sites using smart phones. When we search matjip (reputable restaurant) using materialized application, we can select the best matjip (reputable restaurant) we want. Especially, this application evaluates individual restaurants through the level of utilization and satisfaction by consumer including appropriate menus, the style and design of the restaurant, reasonableness of prices, service of restaurant employees and sanitation management by region and registered the information input to DB in advance while classifying based on the evaluation scores to keep track for individual tastes. And individuals can record their personal memories to input columns. On top of that, information field for transportation is also designed to enhance the accessibility during travel, and in the future the application can be further utilized through the expansion of the DB through the input of famous tour sites and acquaintance's house information.

• Journal of Korean Library and Information Science Society
• /
• v.34 no.4
• /
• pp.21-42
• /
• 2003

This study is to represent the research trends of library & information science in Korea through an analysis of the master's and doctor's dissertations published from 1959 through 2002. The results of this study are as follows: The average yearly dissertations: 38.5 pieces; the year published the largest number of dissertations: 2002; the order of the number of dissertations by the domain of library ＆ information science: library management, information science, public service, organizing library materials, bibliography, collection development (management), history of books & libraries, foundations of library & information science.