• Journal of Information Processing Systems
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• v.14 no.2
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• pp.377-395
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• 2018

Aiming at the problem of service reliability in resource reservation in cloud computing environments, a model of dynamic cloud resource reservation based on trust is proposed. A domain-specific cloud management architecture is designed in which resources are divided into different management domains according to the types of service for easier management. A dynamic resource reservation mechanism (DRRM) is used to test users' reservation requests and reserve resources for users. According to user preference, several resources are chosen to be candidate resources by fuzzy cluster analysis. The fuzzy evaluation method and a two-way trust evaluation mechanism are adopted to improve the availability and credibility of the model. An analysis and simulation experiments show that this model can increase the flexibility of resource reservation and improve user satisfaction.

• Journal of KIISE:Software and Applications
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• v.37 no.7
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• pp.548-557
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• 2010

In this paper, we propose a semi-automatic modeling approach of ontology to annotate VOD to realize the IPTV's intelligent searching. The ontology is made by combining partial tree that extracts hypernym, hyponym, and synonym of keywords related to a service domain from WordNet. Further, we add to the partial tree new keywords that are undefined in WordNet, such as foreign words and words written in Chinese characters. The ontology consists of two parts: generic hierarchy and specific hierarchy. The former is the semantic model of vocabularies such as keywords and contents of keywords. They are defined as classes including property restrictions in the ontology. The latter is generated using the reasoning technique by inferring contents of keywords based on the generic hierarchy. An annotation generates metadata (i.e., contents and genre) of VOD based on the specific hierarchy. The generic hierarchy can be applied to other domains, and the specific hierarchy helps modeling the ontology to fit the service domain. This approach is proved as good to generate metadata independent of any specific domain. As a result, the proposed method produced around 82% precision with 2,400 VOD annotation test data.

• Knowledge Management Research
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• v.10 no.3
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• pp.35-49
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• 2009

The purpose of this study is to examine whether suppliers are able to benefit by means of constructing a relationship-specific intangible asset and participating in collaboration with purchasers to actively maintain value created while mutually using inter-organizational information systems. To achieve the purpose of this study. 82 questionnaires have been analyzed from suppliers which are using electronic transactions through inter-organizational information systems. As a result, business process specificity and domain knowledge specificity, which are relationship-specific intangible assets, affect operational collaboration and strategic collaboration, which are classified by level of decision-making. Although both types of collaboration are needed to achieve both strategic and operational benefits, we find each collaboration to be uniquely promoted by a specific types of relationship-specific intangible asset. Operational collaboration is found to be an antecedent to operational benefit and strategic collaboration is found to be an antecedent to strategic benefits. No crossover between collaboration and supplier's benefits is found. Consequently, the result of this study shows collaboration is needed for domestic suppliers, which have relatively low levels of collaboration, to keep maintain relationship-specific intangible assets and to prevent the relationship termination cost when transactions have been stopped between supplier and purchaser. Also the results imply the supplier can have advantages by participating in collaboration.

• KIISE Transactions on Computing Practices
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• v.21 no.2
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• pp.144-147
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• 2015

Question Answering (QA) services can provide exact answers to user questions written in natural language form. This research focuses on how to build a QA system for a specific domain area. Online and offline QA system architecture of targeted domain such as domain detection, question analysis, reasoning, information retrieval, filtering, answer extraction, re-ranking, and answer generation, as well as data preparation are presented herein. Test results with an official Frequently Asked Question (FAQ) set showed 68% accuracy of the top 1 and 77% accuracy of the top 5. The contribution of each part such as question analysis system, document search engine, knowledge graph engine and re-ranking module for achieving the final answer are also presented.

• Journal of Korea Multimedia Society
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• v.20 no.8
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• pp.1208-1215
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• 2017

Recently, people's attention and worries about fine particulate matter have been increasing. Due to the construction and maintenance costs, there are insufficient air quality monitoring stations. As a result, people have limited information about the concentration of fine particulate matter, depending on the location. Studies have been undertaken to estimate the fine particle concentrations in areas without a measurement station. Yet there are limitations in that the estimate cannot take account of other factors that affect the concentration of fine particle. In order to solve these problems, we propose a framework for estimating the concentration of fine particulate matter of a specific area using meteorological data and traffic data. Since there are more grids without a monitor station than grids with a monitor station, we used a domain adversarial neural network based on the domain adaptation method. The features extracted from meteorological data and traffic data are learned in the network, and the air quality index of the corresponding area is then predicted by the generated model. Experimental results demonstrate that the proposed method performs better as the number of source data increases than the method using conditional random fields.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.43 no.5 s.311
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• pp.57-67
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• 2006

Intellectual property rights are gathering strength theses days. Because digital contents are easily reproduced and distributed by advanced computers and networks. Digital watermarking is one of the best solutions for this problem. Generally, frequency-domain watermarking algorithms are preferred since they are more robust than spatial-domain algorithms. However, coefficients in the frequency domain are floating-point numbers. Thus, it is not easy to manipulate those floating-point coefficients and frequency-domain watermarking algorithms have some limitations in their applications. In order to overcome this difficulty, we employ an integer transform in this paper. In addition, our proposed algerian can extract the watermark from both the spatial and frequency domains. We embed the watermark into a specific bit-plane of mid-frequency coefficients. This is equivalent to the differential energy watermarking (DEW) in the spatial domain. Our simulation results show that the proposed algorithm is imperceptible, good for the watermark payload, and robustness against various attacks. Moreover, it is more efficient than any other algorithm working in only one domain.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.46 no.1
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• pp.103-111
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• 2009

In SCA, the core framework must include the domain parser to parse the domain profile and thus reconstructs the platform on the time including the starting of the platform, the initialization of the new radio, and etc. The domain profile is described in XML and it includes the characteristics about the software component or the hardware device in a platform. Elementarily, the core framework has to have within the domain profile parser in order to parse the domain profile. In this paper, in order to apply to the limited environment like the mobile terminal, we propose the method for reducing the size of the domain profile parser and for strengthening the independency of the XML parser vendor to have with the domain profile parser. Therefore, domain profile parser can be solve the problem like the overhead about the DOM tree creation due to the repetitive parsing of the domain profile, the compatibility degradation by the specific XML parser vender, the dependency about the domain profile technique, and etc.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2002.11a
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• pp.336-341
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• 2002

현재 연구개발 중인 웹 정보 에이전트는 Agent Manager와 KB Manager. Web Manager로 구성되어 있다. 이 시스템은 동물영역에 관련된 정보를 영어로 서비스하고 있어 국내 접근보다는 외국에서의 접근이 더 많았다. 그러므로 국내 사용을 높이기 위해 애완용 동물을 위주로 한 정보추출(IE)을 수행하여 지식베이스(KB)의 확장을 시도하고 있다. 이를 위하여 태그(tag) 및 심볼(symbol)의 패턴(pattern) 유사성 정보를 찾아내고, 기존 KB와 연계하여 KB의 확장 및 수정에 이용하기 위한 유효 정보 패턴 결정에 활용함으로써 정보 추출의 새로운 방법을 고찰하고 그 가능성을 제시하고자 한다.

• Journal of Life Science
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• v.14 no.6 s.67
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• pp.997-1002
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• 2004

This paper deals with the WASPIFA (Web-based Assistant System for Protein-protein Interaction and Function Analysis) system that can provide the comprehensive information on Protein-protein interaction and function concerned with function analysis. Different from existing systems for protein function and protein-protein interaction analysis, which provide fragmentary information restricted to specific field, our system furnishes end-user with comprehensive and synthetic information on the input sequence to be analyzed, including function and annotation information, domain information, and interaction relationship information. The synthetic information that our system contains as local databases has been extracted from many resources related to function, annotation, motif and domain by various pre-processing. Employing our system, end-users can evaluate and judge the synthetic results to do protein interaction and function analysis effectively. In addition, the WASPIFA system is equipped with automatic system management and data update function that facilitates system manager to maintain and manage it efficiently.

• The Journal of Information Systems
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• v.18 no.2
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• pp.35-59
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• 2009

The study of Information Systems(IS) is a relatively new discipline area, thus an analysis of the latest research literature could be useful to identify what the researchers are doing and what can be done to improve our discipline. With that purpose in mind, this study analyzes the total 208 articles published in "The Journal of Information Systems~ between 2001 and 2008. The classification system that comprises three key characteristics of diversity (research topic, research method, and reference discipline) was developed based on a review of prior literature. The results of this study were also compared with Kim et al.(2005)'s and Vessey et al.(2002)'s results to identify issues in current Information Systems research and 10 suggest some recommendations for future In formation Systems research. The findings identify popular research topic:s, the dominant research method, and reference discipline. The popular research topics consists of organizational concepts, problem domain-specific concepts, and systems/software management concepts. Field study was characterized as the dominant research method in the papers included in the study. Information Systems itself represents the major theoretical reference of the studies. However, many papers in this study relied on a number of reference disciplines., none of which was dominant, or they did not rely on a specific reference discipline. Finally, this study suggests more research on the disciplinary issues, more training on the research method, more accurate and specific reference discipline, and controlled diversity.