• 제어로봇시스템학회:학술대회논문집
• /
• 2005.06a
• /
• pp.2342-2345
• /
• 2005

Robot control system considers various requirements. Firstly, it needs adaptation for unpredictable and dynamic environment. Secondly, it needs way to make do not injurious action to human because live with a person. Thirdly, it needs processing about aim of robots. In this paper proposed that these requirements effective robot control architecture. Robot control architecture can divide Deliberative, Reactive, Hybrid. Recently, robot control architecture that come Deliberative and use hybrid architecture that apply advantage of Reactive architecture is studied much. Hybrid control purpose to combine the real-time response of Reactive with the rationality of Deliberative. Our purpose is enhancement of hybrid architecture that is studied in these days. Proposed architecture that applied human's nervous system can reduce relativity between each module of existent architecture and drive response speed guarantee and safe robot action.

• Journal of Information Technology Applications and Management
• /
• v.20 no.3
• /
• pp.1-18
• /
• 2013

Software architecture is the blueprint for a software system and should provide consistent guidelines for design, implementation, and maintenance throughout the entire lifecycle of the system. Components, interactions between the components, well-formed structure, reasons, and various perspectives reflecting various stakeholders' concerns changing through the phases of software lifecycle are the key elements of software architecture. The architect identifies and engages the stakeholders, understands and captures stakeholder's concerns including those regarding life cycle, and lets the concerns reflected in the architecture. To do so, architect should take into consideration various contextual elements regarding the system too. We make an extended list of the elements, especially those of business application software architecture, that the architect should take into consideration and construct a model of the relationships between the elements.

• Journal of Information Processing Systems
• /
• v.17 no.6
• /
• pp.1138-1156
• /
• 2021

Emotional semantics are the highest level of semantics that can be extracted from an image. Constructing a system that can automatically recognize the emotional semantics from images will be significant for marketing, smart healthcare, and deep human-computer interaction. To understand the direction of image emotion recognition as well as the general research methods, we summarize the current development trends and shed light on potential future research. The primary contributions of this paper are as follows. We investigate the color, texture, shape and contour features used for emotional semantics extraction. We establish two models that map images into emotional space and introduce in detail the various processes in the image emotional semantic recognition framework. We also discuss important datasets and useful applications in the field such as garment image and image retrieval. We conclude with a brief discussion about future research trends.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.17 no.8
• /
• pp.2101-2123
• /
• 2023

Recent studies have shown that the neural network-based binary code similarity detection technology performs well in vulnerability mining, plagiarism detection, and malicious code analysis. However, existing cross-architecture methods still suffer from insufficient feature characterization and low discrimination accuracy. To address these issues, this paper proposes a cross-architecture binary function similarity detection method based on composite feature model (SDCFM). Firstly, the binary function is converted into vector representation according to the proposed composite feature model, which is composed of instruction statistical features, control flow graph structural features, and application program interface calling behavioral features. Then, the composite features are embedded by the proposed hierarchical embedding network based on a graph neural network. In which, the block-level features and the function-level features are processed separately and finally fused into the embedding. In addition, to make the trained model more accurate and stable, our method utilizes the embeddings of predecessor nodes to modify the node embedding in the iterative updating process of the graph neural network. To assess the effectiveness of composite feature model, we contrast SDCFM with the state of art method on benchmark datasets. The experimental results show that SDCFM has good performance both on the area under the curve in the binary function similarity detection task and the vulnerable candidate function ranking in vulnerability search task.

• Information Systems Review
• /
• v.9 no.3
• /
• pp.183-204
• /
• 2007

As the innovation of Information technology in the Public sector is in progress, the "Efficient adaptation and management of information system Act" (passed the National Assembly in December 30, 2005) was established to support the information system planning and development which are systematic and integrated in the enterprise view point. The public sector should adopt Information Technology Architecture into it's organization by the act. This paper reports on the issues, solutions and CSFs (Critical Success Factors) considering the adoption of ITA through the implementation for the case of the Korea Post. To adopt ITA program to the Public sector successfully, Korea Government should set the clear goals for IT A, set the standards for IT A project pricing, and collaborate with the system integration industry to make successful IT A program cases. The case study of Korea Post of MIC will be useful in developing and managing ITA programs for all agencies and organizations considering adoption of ITA.

• Journal of the Korean Society of Systems Engineering
• /
• v.14 no.1
• /
• pp.83-88
• /
• 2018

Engineering is a sector with more than three times the industrial effectiveness of manufacturing. In the domestic engineering life cycle, the Operations & Maintenance (O&M) phase is a relatively high level of technology. Based on accumulated knowledge of O&M phase, it is necessary to advance operating technology and expand overseas O&M market expenditure. This study is the early stage of knowledge-based power plant O&M service framework reference model. In this study, we propose a conceptual model of architecture framework for power plant O&M. We survey the architecture framework and reference model and propose conceptual model of architecture framework for power plant O&M. The conceptual model of architecture framework for power plant O&M consists of stakeholder, O&M scenario, O&M technology. In particular, the O&M technology is defined as the fourth industrial revolution intelligence information technology. We defined a meta model from the conceptual model to define the power plant O&M architecture framework. In the future, we intend to development an architecture framework from the conceptual model and meta model.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2003.11a
• /
• pp.213-216
• /
• 2003

그리드 컴퓨팅에 있어서 핵심적인 역할을 하는 그리드 미들웨어는 사용자에게 있어서 사용하기에 편리해야 한다. 사용자가 자신의 계산을 수행하려고 할 때 사용해야 할 자원의 위치 및 가용성 등에 대해서 지식이 없더라도 자원의 할당을 자율적으로 할 수 있어야 한다. 특히 그리드 작업은 대부분 병렬작업으로서 분산된 복수의 자원을 동시에 이용하게 되는데, 이러한 환경에서 작업에 대한 모니터링은 사용자의 편의성을 최대한 고려하여 통합적인 서비스를 제공해야 한다. 그리고 OGSA(Open Grid Service Architecture)는 그리드에 웹 서비스 개념을 도입하여, 그리드 서비스의 확장성 및 구현의 용이성을 크게 향상시켰다. OGSA를 이용하여 그리드 서비스를 개발함으로써 사용자가 직접 미들웨어를 이용하기에 용이하게 할 뿐만 아니라, 사용자 어플리케이션을 만드는데 있어서도 쉽게 할 수 있다. 따라서 본 논문에서는 OGSA를 이용하여 사용자에게 통합적인 모니터링 서비스를 제공하는 그리드 작업 모니터링 서비스를 구현하였다.

• Korean Management Science Review
• /
• v.23 no.2
• /
• pp.17-39
• /
• 2006

Interest in EA has been Increasing recently, however, with the coming into effect from July 2006 of the 'Information Technology Architecture Act' which requires the public sector to adopt EA. Until now, the study of EA has been focused on concepts and methodologies for the adoption of EA. The fundamental issue, however, the study on the factors affecting the adoption of EA, has rarely been explored. This thesis therefore surveyed which factors have affected the adoption of EA. The analysis found that the adoption of EA was affected by the external environmental characteristics such as rules or regulations and the level of competition in the Industry concerned, and by the organization's information technology level. However, technological aspects such as perceived usefulness or perceived ease of use - traditionally considered as critical factors in adopting information technology - were found to be less influential. These results show that in Korea we still do not regard EA as a method of optimizing the IT resources of a company. In order for EA to be widely adopted, therefore, we should Put primary emphasis on efforts to properly appreciate its technological aspects, such as its technological usefulness or convenience.

• Information Systems Review
• /
• v.4 no.2
• /
• pp.59-80
• /
• 2002

Today the theme of "IT Architecture" has become a topic of special interest in both public and private sectors. Based on the literature survey on information systems planning and information architecture, IT architecture may be viewed as the outcome of evolution, rather than revolution. A case study was conducted in order to compare the tasks and deliverables of U.S. IT architecture and Korean Information Strategy Planning. No significant differences were found in tasks or deliverables. Implications of the study were discussed.

• Proceedings of the Korea Inteligent Information System Society Conference
• /
• 2001.01a
• /
• pp.511-515
• /
• 2001

Many intelligent agent systems are known to incorporate BDI architecture for cognitive reasoning. Since this architecture contains all the knowledge of world model and reasoning rule, it is very complex and difficult to handle. This paper describes a methodology to design and implement BDI architecture, BDIAXml based on XML for multi-agent systems. This XML-based BDI architecture is smaller than any other BDI architecture because it separates knowledge for reasoning from domain knowledge and enables knowledge sharing using XML technology. Knowledge for BDI mental state and reasoning is composed of specific XML files and these XML files are stored into a specific knowledge server. Most systems using BDIAxml architecture can access knowledge from this server. We apply this BDIAXml system to domain of Hospital Information System and show that this architecture performs more efficiently than other BDI architecture system in terms of knowledge sharing, system size, and ease of use.