• Title/Summary/Keyword: autonomous decentralized

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An Object-Oriented Software Development Framework for Autonomous Decentralized Systems (자치적 분산처리 시스템을 위한 객체지향 소프트웨어 개발 프레임워크에 대한 연구)

  • 염근혁
    • The Journal of Information Technology and Database
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    • v.4 no.1
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    • pp.105-116
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    • 1997
  • 분산처리 시스템을 위한 소프트웨어 개발 방법 및 이를 지원하는 프레임워크의 개발은 분산처리 시스템을 위한 좋은 소프트웨어의 개발을 위해 매우 필요한 일이라 할 수 있다. 즉, 분산처리 시스템을 위한 신뢰성 있고 적합성과 확장성을 가진 소프트웨어의 개발은 매우 중요한 일이다. 자치적 분산처리 시스템(Autonomous Decentralized Systems)은 온라인 확장성과 온라인 유지보수성 및 fault tolerance기능을 가진 분산처리 시스템이다. 이 논문에서는 자치적 분산처리 시스템을 위한 객체지향 소프트웨어 개발을 지원하는 프레임워크에 대하여 논한다. 이 프레임워크는 객체지향 요구 분석과 객체지향 설계, 구현, 프로세서에 타스크(task)의 할당, 검증 및 유지보수로 구성되어 있으며, 온라인 확장성과 온라인 변경성(modifiability)을 지원한다. 자치적 분산처리 애플리케이션 소프트웨어 개발을 지원하는 프레임워크는 객체지향 computation 모델을 근간으로 하고 있다. 이 논문에서는 프레임워크외에도 자치적 분산처리 소프트웨어 개발을 위한 CASE(Computer Aided Software Engineering) 환경에 대하여서도 논한다.

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The Future of Work: Trends of Decentralized Autonomous Organizations (일의 미래: 탈중앙자율조직 DAO)

  • S.M. Choi
    • Electronics and Telecommunications Trends
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    • v.38 no.1
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    • pp.65-76
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    • 2023
  • Decentralized autonomous organizations (DAOs) is an effective and secure means to enable direct collaboration between people who want to achieve common goals in a digital environment, where believing each other without intermediaries from trusted third parties is difficult. DAO can flexibly implement most of the roles previously performed by existing organizations and finally aim for a new structure that functions independently without human intervention. Despite its technical and legal uncertainties and problems, DAO is rapidly expanding. This study examines trends such as the concept, use cases, participation methods, and deficiencies of DAO, which is called the future of work and helps to understand upcoming considerations.

A MULTIPLE AUTONOMOUS ROBOTS SYSTEM -HARDWARE AND COMMUNICATION

  • Johari, W.A.;Nohira, M.;Yamauchi, Y.;Ishikawa, S.;Kato, K.
    • 제어로봇시스템학회:학술대회논문집
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    • 1992.10b
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    • pp.485-490
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    • 1992
  • This paper describes a hardware structure and a communication system of a multiple autonomous robots system. Many studies have been devoted to the development of a single autonomous robot. It is, however, also necessary to investigate decentralized multiple autonomous robots system in order to make wider use of such robots. We have been studying a multiple autonomous robots system employing two mobile robots. In this paper, problems are overviewed on the developed multiple autonomous robots system from the viewpoint of hardware and communication, and an improved system is presented, which employs a new control strategy of a mobile robot and realizes reliable data communication between host computers.

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Decentralized Autonomous Organization (DAO) as a Metaverse Governance: A Case Study of Decentraland DAO (메타버스 운영조직으로서 탈중앙화자율조직(DAO) 사례분석: 디센트럴랜드를 중심으로)

  • Jinyoung Han;Hyunjung Rhee
    • Information Systems Review
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    • v.26 no.1
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    • pp.151-172
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    • 2024
  • Metaverse, which supports social and economic activities in the virtual world, is being cited as the core of future Web 3.0 businesses. However, most of the major metaverse platforms currently adhere to the Web 2.0 system and are operated in a centralized manner. Accordingly, this study investigated the form of metaverse operation by examining the case of Decentraland, a metaverse platform operated as DAO, a decentralized autonomous organization in the form of Web 3.0. From the case analysis, we found that Decentraland had positive characteristics such as a horizontal operating structure, fair profit distribution, and transparency, but there were challenges including the possibility of returning to centralization in the operating process, the possibility of abuse of an autonomous system, and inefficiency in decision-making. Therefore, in this study, the timing of transition to DAO governance was discussed, and DAO's efforts for business continuity and the need for adjustment for autonomous operation were suggested as implications. The implications presented in this study are expected to contribute to materializing not only practical but also theoretical aspects of platform operation aimed at web 3.0 as well as the metaverse.

On autonomous decentralized evolution of holon network

  • Honma, Noriyasu;Sato, Mitsuo;Abe, Kenichi;Takeda, Hiroshi
    • 제어로봇시스템학회:학술대회논문집
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    • 1994.10a
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    • pp.498-503
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    • 1994
  • The paper demonstrates that holon networks can be used effectively for identification of nonlinear dynamical systems. The emphasis of the paper is on modeling of complicated systems which have a great deal of uncertainty and unknown interactions between their elements and parameters. The concept of applying a quantitative model building, for example, to environmental or ecological systems is not new. In a previous paper we presented a holon network model as an another alternative to quantitative modeling. Holon networks have a hierarchical construction where each level of hierarchy consists of networks with reciprocal actions among their elements. The networks are able to evolve by self-organizing their structure and adapt their parameters to environments. This was achieved by an autonomous decentralized adaptation algorithm. In this paper we propose a new emergent evolution algorithm. In this algorithm the initial holon networks consists of only a few elements and it grows gradually with each new observation in order to fit their function to the environment. Some examples show that this algorithm can lead to a network structure which has sufficient flexibility and adapts well to the environment.

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Autonomy for Smart Manufacturing (스마트 매뉴팩처링을 위한 자율화)

  • Park, Hong-Seok;Tran, Ngoc-Hien
    • Journal of the Korean Society for Precision Engineering
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    • v.31 no.4
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    • pp.287-295
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    • 2014
  • Smart manufacturing (SM) considered as a new trend of modern manufacturing helps to meet objectives associated with the productivity, quality, cost and competiveness. It is characterized by decentralized, distributed, networked compositions of autonomous systems. The model of SM is inherited from the organization of the living systems in biology and nature such as ant colony, school of fish, bee's foraging behaviors, and so on. In which, the resources of the manufacturing system are considered as biological organisms, which are autonomous entities so that the manufacturing system has the advanced characteristics inspired from biology such as self-adaptation, self-diagnosis, and self-healing. To prove this concept, a cloud machining system is considered as research object in which internet of things and cloud computing are used to integrate, organize and allocate the machining resources. Artificial life tools are used for cooperation among autonomous elements in the cloud machining system.

A study on material analysis and the usage for efficiency of the Autonomus Station Control System (자율분산 역제어시스템의 효율성을 위한 자료분석 및 자료 활용방법에 관한 연구)

  • Ha, Seung-Tae;Ahn, Jin;Yong, Sung-Wan
    • Proceedings of the KSR Conference
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    • 2008.06a
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    • pp.636-641
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    • 2008
  • In this paper, the analysis methods of available information are reviewed and it is elicited to the method of which the analysis results are applied to the Autonomous Decentralized Train Management System for the optimization at the point of the route control time and for making the efficiency shunting plan in the Autonomous Centralized Station Operation Control System. As the statistics and estimated information which are got through the utilizable information analysis are applied for the automatic route control function and the shunting plan management of the station operation control system, it is possible to use efficiently the station information by the autonomous route control system. And as the exact forecast information needed for the shunting plan establishment and the operation is provided to the operator, it is established to the efficient train operation plan.

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The Development of Artificial Intelligence-Enabled Combat Swarm Drones in the Future Intelligent Battlefield (지능화 전장에서 인공지능 기반 공격용 군집드론 운용 방안)

  • Hee Chae;Kyung Suk Lee;Jung-Ho Eom
    • Convergence Security Journal
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    • v.23 no.3
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    • pp.65-71
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    • 2023
  • The importance of combat drones has been highlighted through the recent outbreak of the Russia-Ukraine war. The combat drones play a significant role as a a game changer that alters the conventional wisdom of traditional warfare. Many pundits expect the role of combat swarm drones would be more crucial in the future warfare. In this regard, this paper aims to analyze the development of artificial intelligence-enabled combat swarm drones. To transform the human-operated swarm drones into fully autonomous weaponry system our suggestions are as follows. Developments of (1) AI algorithms for optimized swarm drone operations, (2) decentralized command and control system, (3) inter-drones' mission analysis and allocation technology, (4) enhanced drone communication security and (5) set up of ethical guideline for the autonomous system. Specifically, we suggest the development of AI algorithms for drone collision avoidance and moving target attacks. Also, in order to adjust rapidly changing military environment, decentralized command and control system and mission analysis allocation technology are necessary. Lastly, cutting-edging secure communication technology and concrete ethical guidelines are essential for future AI-enabled combat swarm drones.

A distributed algorithm for the coordination of dynamic barricades composed of autonomous mobile robots

  • Lee, Geun-Ho;Defago, Xavier;Chong, Nak-Young
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.2030-2035
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    • 2005
  • In this paper, we study the distributed coordination of a set of synchronous, anonymous, memoryless mobile robots that can freely move on a two-dimensional plane but are unable to communicate directly. Based on this model, we analyze the application problem that consists in having a group of robots form a barricade line to protect from car traffic a crowd of demonstrators parading on the street. For the sake of robustness, we privilege fully decentralized solutions to the problem. In particular, we give a self-stabilizing distributed algorithm to address the problem, in this presentation

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