• Title/Summary/Keyword: Intelligent Framework

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Intelligent Digital Redesign for Helicopter System (헬리콥터 시스템의 지능형 디지털 재설계)

  • Sung, Hua-Chang;Park, Jin-Bae;Joo, Young-Hoon
    • Proceedings of the KIEE Conference
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    • 2005.07b
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    • pp.1811-1813
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    • 2005
  • We represent an efficient intelligent digital redesign method for a Takagi-Sugeno(T-S) fuzzy system. Intelligent digital redesign means that an existing analog fuzzy-model-based controller converts to equivalent digital counter part in the sense of state-matching. The proposed method performs previous work, moreover, it allows to matching the states of the overall closed-loop T-S fuzzy system with the predesigned analog fuzzy-model-based controller. And the problem of stability represent convex optimization problem and cast into linear matrix inequality(LMI) framework. This method applies to the helicopter systems which are the nonlinear plant and determine the feasibility and effectiveness of the proposed method.

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Intelligent Force Control Ap plication of an Autonomous Helicopter System (자율 주행 헬리콥터 시스템의 지능 힘제어 응용)

  • Eom, Il Yong;Jung, Seul
    • IEMEK Journal of Embedded Systems and Applications
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    • v.6 no.5
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    • pp.303-309
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    • 2011
  • In this paper, an intelligent force control technique is applied to an autonomous helicopter. Although most research on the autonomous helicopter system is about navigation and control, force control of an autonomous helicopter system is quite new and not presented yet. After controlling the position of the helicopter by the LQR method, force control is applied. The adaptive impedance force control algorithm is introduced and tested to regulate the desired force under unknown location and stiffness of the environment. To compensate for uncertainty from outer disturbance, a neural network is added to form an intelligent force control framework. Simulation studies show that the proposed force control algorithm works well.

A Self-Adaptive Attribute-Based Access Control Framework for Interoperability between IoT Platforms (사물인터넷 플랫폼 간 상호운용성을 위한 자가적응형 속성기반 접근제어 프레임워크)

  • Ji-Hoon Park;Giluk Kang;Young-Gab Kim
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.05a
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    • pp.92-94
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    • 2023
  • 사물인터넷이 발전함에 따라 사용자에게 여러 서비스를 제공하기 위한 사물인터넷 플랫폼이 활발하게 개발되고 있다. 그러나 각각의 플랫폼은 독자적인 환경에서 개발되고 있어 상호운용성에 어려움이 있다. 특히, 이기종 사물인터넷 플랫폼이 리소스 보호를 위해 동일한 속성기반 접근제어를 사용하더라도 속성을 표현하는 표현법이 상이하여 유효한 속성을 소유하고 있음에도 타 플랫폼의 리소스에 접근할 수 없는 문제가 있다. 이에, 본 논문에서는 속성기반 접근제어를 활용하는 이기종 사물인터넷플랫폼 간의 서로 다른 속성 표현법을 이해하여 상호운용할 수 있는 프레임워크를 제안한다. 본 프레임워크는 자가적응 모듈을 통해 동일한 속성이더라도 표현법의 차이로 발생하는 상호운용의 문제를 해결하여 이기종 플랫폼 간의 리소스 접근이 가능하도록 한다.

The Strategy making Process For Automated Negotiation System Using Agents (에이전트를 이용한 자동화된 협상에서의 전략수립에 관한 연구)

  • Jeon, Jin;Park, Se-Jin;Kim, Sung-Sik
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2000.04a
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    • pp.207-216
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    • 2000
  • Due to recent growing interest in autonomous software agents and their potential application in areas such as electronic commerce, the autonomous negotiation become more important. Evidence from both theoretical analysis and observations of human interactions suggests that if decision makers have prior information on opponents and furthermore learn the behaviors of other agents from interaction, the overall payoff would increase. We propose a new methodology for a strategy finding process using data mining in autonomous negotiation system ; ANSIA (Autonomous Negotiation System using Intelligent Agent). ANSIA is a strategy based negotiation system. The framework of ANSIA is composed of following component layers : 1) search agent layer, 2) data mining agent layer and 3) negotiation agent layer. In the data mining agent layer, that plays a key role as a system engine, extracts strategy from the historic negotiation is extracted by competitive learning in neural network. In negotiation agent layer, we propose the autonomous negotiation process model that enables to estimate the strategy of opponent and achieve interactive settlement of negotiation. ANISIA is motivated by providing a computational framework for negotiation and by defining a strategy finding model with an autonomous negotiation process.

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A Framework for WordNet-based Word Sense Disambiguation (워드넷 기반의 단어 중의성 해소 프레임워크)

  • Ren, Chulan;Cho, Sehyeong
    • Journal of the Korean Institute of Intelligent Systems
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    • v.23 no.4
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    • pp.325-331
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    • 2013
  • This paper a framework and method for resolving word sense disambiguation and present the results. In this work, WordNet is used for two different purposes: one as a dictionary and the other as an ontology, containing the hierarchical structure, representing hypernym-hyponym relations. The advantage of this approach is twofold. First, it provides a very simple method that is easily implemented. Second, we do not suffer from the lack of large corpus data which would have been necessary in a statistical method. In the future this can be extended to incorporate other relations, such as synonyms, meronyms, and antonyms.

Specified Object Tracking Problem in an Environment of Multiple Moving Objects

  • Park, Seung-Min;Park, Jun-Heong;Kim, Hyung-Bok;Sim, Kwee-Bo
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.11 no.2
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    • pp.118-123
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    • 2011
  • Video based object tracking normally deals with non-stationary image streams that change over time. Robust and real time moving object tracking is considered to be a problematic issue in computer vision. Multiple object tracking has many practical applications in scene analysis for automated surveillance. In this paper, we introduce a specified object tracking based particle filter used in an environment of multiple moving objects. A differential image region based tracking method for the detection of multiple moving objects is used. In order to ensure accurate object detection in an unconstrained environment, a background image update method is used. In addition, there exist problems in tracking a particular object through a video sequence, which cannot rely only on image processing techniques. For this, a probabilistic framework is used. Our proposed particle filter has been proved to be robust in dealing with nonlinear and non-Gaussian problems. The particle filter provides a robust object tracking framework under ambiguity conditions and greatly improves the estimation accuracy for complicated tracking problems.

Extension of Self-organization for Swarm Systems to Three Dimensions (스웜시스템을 위한 자기조직화의 3D 확장)

  • Kim, Jae-Hyun;Kim, Dong-Hun
    • Journal of the Korean Institute of Intelligent Systems
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    • v.20 no.4
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    • pp.489-496
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    • 2010
  • In this paper, a self-organization framework for swarm systems in three dimensions is presented. The framework uses artificial potential functions(APFs) to direct the robots toward the goal as well as to keep them in a swarm system. This research extends conventional APFs used for self-organizations in two dimension environment to three dimensions. In three dimension environment, the ground potential for the boundary surfaces that commonly appear in three dimension environments is proposed. Accordingly, the comparison between the paths without and with the ground potentials shows the necessity and effect of ground potentials. Extensive simulations are given to show the effectiveness of the extended potentials and various properties in three dimension environments.

Critical Factors Affecting the Adoption of Artificial Intelligence: An Empirical Study in Vietnam

  • NGUYEN, Thanh Luan;NGUYEN, Van Phuoc;DANG, Thi Viet Duc
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.5
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    • pp.225-237
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    • 2022
  • The term "artificial intelligence" is considered a component of sophisticated technological developments, and several intelligent tools have been developed to assist organizations and entrepreneurs in making business decisions. Artificial intelligence (AI) is defined as the concept of transforming inanimate objects into intelligent beings that can reason in the same way that humans do. Computer systems can imitate a variety of human intelligence activities, including learning, reasoning, problem-solving, speech recognition, and planning. This study's objective is to provide responses to the questions: Which factors should be taken into account while deciding whether or not to use AI applications? What role do these elements have in AI application adoption? However, this study proposes a framework to explore the significance and relation of success factors to AI adoption based on the technology-organization-environment model. Ten critical factors related to AI adoption are identified. The framework is empirically tested with data collected by mail surveying organizations in Vietnam. Structural Equation Modeling is applied to analyze the data. The results indicate that Technical compatibility, Relative advantage, Technical complexity, Technical capability, Managerial capability, Organizational readiness, Government involvement, Market uncertainty, and Vendor partnership are significantly related to AI applications adoption.

A Framework of the Convergent Service Development Process in the Public Sector : The Smart Transportation Card Service of Seoul City and the Call for Collaboration Case in Singapore (공공분야 융합 서비스 개발 Framework에 대한 연구 : 서울시 스마트교통카드 서비스와 싱가포르 CFC 사례를 중심으로)

  • Lee, Jin-Hui;Lee, Suke-Kyu
    • Journal of Information Technology Services
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    • v.12 no.2
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    • pp.387-410
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    • 2013
  • Due to the development of information technology, Convergence and Creative Economy became hot issues. For example, products become more intelligent and services are likely to be connected and integrated around core services or provided as bundle solution. Meanwhile products and services are integrated in the context of mutual supplementation, which leads to Servitization of Products and Productization of Services in many industries. Previous studies have addressed Convergence with different terms and definitions such as Convergent, Multicategory Multifunctional Product, Clouding Service, Bundle and so on from one perspective such as consumers, suppliers or technology according to a wide range of academic approaches. Thus, this study attempted to suggest the most typical convergence products released in the convergence environment and categorize those products. Furthermore, this study has pointed out the problems in the New Product Development Framework discussed in the studies on marketing by taking the situation of the public sector into account and then suggested "New Service Development Framework in the Public Sector" that are different from traditional e-Gov. approach basically and will enable the government to create public information service and provide them to enterprises or citizens. It also emphasized the importance of Business Conceptualization Stage in the framework; argued that there is a necessity of an integrative study from the perspective of technology on the basis of the approach from the perspective of marketing and Policy such as a study of consumer behaviors, design and marketing channel and Policy Integration for the development and dissipation; and furthermore suggested the cases-the development/Diffusion of Transportation Card Service in Seoul and CFC (Call for Collaboration) in Singapore-in order to verify the framework. There is a need to supplement New Service Development Framework so it is able to reflect the distinct characteristics of the public sector from the academic perspective and be used as practical guidelines for SI (System Integration) business to shift into IT Service business. Last but not the least, this study has suggested the limitations and the directions for the future studies.

A Framework for Developing interoperable Knowledge Discovery System

  • Li, Sheng-Tun;Shue, Li-Yen
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2001.01a
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    • pp.435-440
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    • 2001
  • The development of web-aware knowledge discovery system has received a great deal of attention in recent years. It plays a key-enabling role for competitive businesses in the E-commerce era. One of the challenges in developing web-aware knowledge discovery systems is to integrate and coordinate and coordinate existing standalone or legacy knowledge discovery applications in a seamless manner, so that cost-effective systems can be developed without the need of costly proprietary products. In this paper, we present an approach for developing a framework of web-aware interoperable knowledge discovery system to achieve this purpose. This approach applies RMI and high-level code wrapper of Java distributed object computing to address the issues of interoperability in heterogeneous environments, which includes programming language, platform, and visual object model. The effectiveness of the proposed framework is demonstrated through the integration and extension of the two well-known standalone knowledge discovery tools, SOM_PAK and Nenet. It confirms that a variety of interoperable knowledge discovery systems can be constructed efficiently on the basis of the framework to meet various requirements of knowledge discovery tasks.

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