• KIPS Transactions on Software and Data Engineering
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• v.10 no.11
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• pp.521-528
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• 2021

Existing image analysis systems in use in the military field are carried out by readers analyzing and identifying images themselves, writing and disseminating related content, and in this process, repetitive tasks are frequent, resulting in workload. In this paper, to solve the previous problem, we proposed an algorithm that can operate the Seq2Seq model on a word basis, which operates on a sentence basis, and applied the Attention technique to improve accuracy. In addition, by applying the Beam Search technique, we would like to recommend various current identification sentences based on the past identification contents of a specific area. It was confirmed through experiments that the Beam Search technique recommends sentences more effectively than the existing greedy Search technique, and confirmed that the accuracy of recommendation increases when the size of Beam is large.

• The KIPS Transactions:PartB
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• v.16B no.3
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• pp.225-232
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• 2009

Author name disambiguation is essential for improving performance of document indexing, retrieval, and web search. Author name disambiguation resolves the conflict when multiple authors share the same name label. This paper introduces a novel approach which exploits ontologies and WordNet-based category utility for author name disambiguation. Our method utilizes author knowledge in the form of populated ontology that uses various types of properties: titles, abstracts and co-authors of papers and authors' affiliation. Author ontology has been constructed in the artificial intelligence and semantic web areas semi-automatically using OWL API and heuristics. Author name disambiguation determines the correct author from various candidate authors in the populated author ontology. Candidate authors are evaluated using proposed WordNet-based category utility to resolve disambiguation. Category utility is a tradeoff between intra-class similarity and inter-class dissimilarity of author instances, where author instances are described in terms of attribute-value pairs. WordNet-based category utility has been proposed to exploit concept information in WordNet for semantic analysis for disambiguation. Experiments using the WordNet-based category utility increase the number of disambiguation by about 10% compared with that of category utility, and increase the overall amount of accuracy by around 98%.

• Korean Management Science Review
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• v.18 no.1
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• pp.69-78
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• 2001

An electronic micropayment system, one of electronic payment systems, is suitable especially when a small amount of money is to be paid frequently in order to purchase on-line goods (i.e. database search, software distribution, electronic news service, etc). In addition, since the amount of payment is small, possible damages caused by system failures are lower than other payment system. In this paper, a micropayment protocol in electronic commerce environments on the Internet is proposed, based on the PayWord system. And a micropayment electronic commerce system which executes the protocol proposed is implemented. Unlike the PayWord system, however, the micropayment protocol proposed in this paper is designed in such a way that a merchant does not need to request a payment at the end of every business day since a customer cannot purchase goods beyond length of hash chains, which is specified on a certificate. In addition, the system is able to check the validity as well as the duplicate spending of hash chains. The electronic micropayment system with the proposed protocol is consists of Customers, Merchants, and Brokers. Customers are implemented on Windows NT 4.0 using VC++. Merchants are implemented on Solaris 2.5.1 and gcc 2.8.0 using Netscape Web Server and CGI Methods. HP UX 10.20 is used for Brokers.

• Korean Institute of Interior Design Journal
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• no.38
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• pp.21-29
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• 2003

This study began to classify the studies on 'culture' in the field of environmental design overall. The classifying process adopted not the approach to preselect the criteria but the phenomenological inductive approach and content analysis method focusing on environmental design in order to understand which place the environmental design had taken. As a result, following aspects were reviewed: what is the area in which the studies on culture is made under the environmental design; what is the trend of using the word 'culture' in terms of logical connection; what is the level of approach to culture from the viewpoint of search, correspondence or application stage. On the whole, followings were drawn as conclusions. First, the interest of the studies on culture has been increased with time especially in the field of interior design. Second, the word 'culture' has become to be used a lot as 'cultural', and was used together with traditional, enterprise and material. Lastly, culture was studied at a starting point by and large. Although the papers, the objects of this study, are confined to five kinds of journals, the analysis of them is helpful to preestimate the trend of studies on culture because they have propensity to lead the international professional academic world.

• Journal of Korea Society of Digital Industry and Information Management
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• v.15 no.4
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• pp.103-110
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• 2019

A patent contains detailed information of the developed technology and is published to the public. Thus, patents can be used to overcome the limitations of traditional technology trend research and prediction techniques. Recently, due to the advantages of patented analytical methodology, IP R&D is carried out worldwide. The patent is big data and has a huge amount, various domains, and structured and unstructured data characteristics. For this reason, there are many difficulties in collecting and researching patent information. Patent research generally writes the Search formula to collect patent documents from DB. The collected patent documents contain some noise patents that are irrelevant to the purpose of analysis, so they are removed. However, eliminating noise patents is a manual task of reading and classifying technology, which is time consuming and expensive. In this study, we propose a model that automatically classifies The Noise patent for efficient patent information research. The proposed method performs Patent Embedding using Word2Vec and generates Noise seed label. In addition, noise patent classification is performed using the Random forest. The experimental data is published and registered with the USPTO among the patents related to Ocean Surveillance & Tracking Network technology. As a result of experimenting with the proposed model, it showed 73% accuracy with the label actually given by experts.

• The Journal of Pediatrics of Korean Medicine
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• v.29 no.2
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• pp.49-58
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• 2015

Objectives Asthma is an allergic disease that frequently occurs in children. This study aims to research acupuncture and acupoint-application treatment of pediatric asthma. Methods We got 53,653 search results with searching word 'child' 'children' 'pediatric' 'juvenile' 'adolescence' 'baby' 'infant' 'asthma' in Pubmed and got 147 results among them with searching word 'acupuncture' 'acupoint application'. We selected 13 articles among them which were seem to be related to this study. We classified these studies according to the type of study, the treatment methods and treatment outcomes. Results There were few studies about acupuncture and acupoint application on pediatric asthma. According to current research, conducting acupuncture and acupoint application treatment on pediatric asthma patient is recommended. Especially, acupoint application and laser acupuncture treatment were important to consider as treatment options on pediatric asthma patients for non-invasive way and less painful to children. Conclusions For the study on acupuncture and acupoint application treatment in pediatric asthma, it is necessary that we conduct research on various merit of acupuncture. More clinical data would be needed to prove the effects of acupuncture and acupoint application treatment in pediatric asthma.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.2
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• pp.213-219
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• 2020

Studies related to Electronic Word-of-Mouth (eWOM) show that the acceptance of eWOM information is an important factor in customer purchase decisions. When consumers accept eWOM information, they tend to use that information in considering before making purchase decisions. In Viet Nam, there are few studies about eWOM information, especially on the acceptance of eWOM information. Research is conducted to test the influence of consumers on the perception of the senders' identity to the acceptance of online reviews (a kind of eWOM) in Viet Nam - a case study in Ho Chi Minh City. Using adjustment techniques, inspecting the scales and a theoretical model represent the relationship among the influential factors. The research is based on a sample of 522 consumers who use the Internet to search for product reviews before buying and used Structural Equation Modeling (SEM) to test the relationships among the variables. The research results show that the scales of the variables: Message Quality, Source Credibility, Perceived Message Usefulness, Perceived Senders' Identity, Perceived Message Credibility, Message Acceptance attain the validity and reliability in the research. The research contributes to the understanding of the determinants that influence the acceptance of eWOM information, which are informational factors, and factors related to consumer skepticism.

• Proceedings of the Korea Institute of Convergence Signal Processing
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• 2000.12a
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• pp.57-60
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• 2000

Even if the video data is utilized for a lot of field, its very difficult to reuse and search easily because of its atypical(unfixed form) and complicated structure. In this study, we presented the video retrieval system which is based on the synchronized closed caption and video, SMIL and SAMI languages which are described to structured and systematic form like multimedia data These have next structure; At first, a key word is inputted by user, then time stamp would be sampling from the string which has a key word in the caption file. To the result, the screen shows an appropriate video frame.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.8
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• pp.1986-1992
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• 2009

A user often searches a data by inputting a variant such as the abbreviation or substring of a word, or a misspelled word. The simple approach to the searching for variants is to build a variants dictionary. However, it entails enormous cost and time and can not handle variants by misspelling. Approximate searching, searching by approximate string matching, is a good approach to the searching. A problem in the approach is that it cannot handle variants by abbreviations. This paper propose a method for searching various variants including abbreviations and misspelled words, by using the trie indexing. First, this paper shows a variant matching method with the calculation of path weighted-metric. In addition, it provides variant searching algorithm to reduce the search time.

• Journal of Korea Society of Digital Industry and Information Management
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• v.17 no.4
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• pp.103-108
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• 2021

Knowledge graph is a technology that improves search results by using semantic information based on various resources. Therefore, due to these advantages, the knowledge graph is being defined as one of the core research technologies to provide AI-based services recently. However, in the case of the knowledge graph, since the form of knowledge collected from various service domains is defined as plain text, it is very important to be able to analyze the text and understand its meaning. Recently, various lexical dictionaries have been proposed together with the knowledge graph, but since most lexical dictionaries are defined in a language other than Korean, there is a problem in that the corresponding language dictionary cannot be used when providing a Korean knowledge service. To solve this problem, this paper proposes an ontology based on the parts of speech of Korean. The proposed ontology uses 9 parts of speech in Korean to enable the interpretation of words and their semantic meaning through a semantic connection between word class and word class. We also studied various scenarios to apply the proposed ontology to vehicle services.