• Title/Summary/Keyword: cooperative computing

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Cloud Platform for Smartfarm (스마트팜을 위한 클라우드 플랫폼)

  • Lee, Meong-hun;Yi, Se-yong;Kim, Joon-yong;Yoe, Hyun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2016.10a
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    • pp.496-499
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    • 2016
  • The smartfarm is a leader in the Field of environmental monitoring in agriculture. By the use of wireless remote systems, monitoring applications of the smartfarm are able to provide vital information to the farmer wherever he may be. Absentee farmers are finding the ease of viewing the application graphs on their mobile phone is providing them with peace of mind. We design system and technical requirements of service for managing and operating smart-farm based on cloud technology. It describes requirements of cloud technology for monitoring, controlling, managing, and operating cloud-based smart farm. Smart farm system and service with cloud platform contains 3 interfaces and 3 services. In addition, smart-farm using cloud platform could have several cases so it should be established and managed in varying way depending on cultivars, its size and type. This paper will focus the industry's attention on the importance of Open/Standard Cloud platform thereby stimulating the smartfarm in agriculture.

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SW Education Program using Pair Programming Collaboration Tools (짝프로그래밍 협업도구를 활용한 SW교육프로그램)

  • Kim, Yong-Ok;Chun, Seok-Ju
    • Journal of The Korean Association of Information Education
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    • v.23 no.4
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    • pp.375-384
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    • 2019
  • In a rapidly changing society with the Fourth Industrial Revolution, future students should have the skills to utilize and organize high-quality knowledge, not the amount of knowledge. With the launch of the revised curriculum in 2015, the curriculum has been reorganized based on competency and the software education has been seeking capabilities such as 'Cultural computing knowledge', 'Computational thinking', and 'Collaborative problem solving skills'. Therefore, practical collaboration tools and education programs that can be used in the field of education are developed based on Pair Programming, which is a specific collaborative learning strategy to develop cooperative problem solving skill. The educational program using this collaboration tool was developed with a focus on developing computational thinking and collaborative problem solving skills through Pair Programming rather than focusing on learning grammar of programming language and programming techniques. In a educational program, students will be able to use collaborative tools for pair programming and foster collaborative problem-solving skills.

A meta-study on the analysis of the limitations of modern artificial intelligence technology and humanities insight for the realization of a super-intelligent cooperative society of human and artificial intelligence (인간 및 인공지능의 초지능 협력사회 실현을 위한 현대 인공지능 기술의 한계점 분석과 인문사회학적 통찰력에 대한 메타 연구)

  • Hwang, Su-Rim;Oh, Hayoung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.8
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    • pp.1013-1018
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    • 2021
  • Due to the recent accident caused by the automated vehicle, discussions on the ethical aspects of AI have been actively underway. This paper confirms that AI is inevitably connected to ethical components through the concepts and techniques related to robots-AI, and argues that ethical aspects are built-in, not post facto. Furthermore, this devises a solution to the trolley dilemma that can serve as a clue to ethical problems associated with automated vehicles. Preferentially, that process contains writing Bayesian networks. Next, only important and influential data are left after the pre-processing stage, and crowd-sourcing & extrapolation is used to calculate the exact figures of the networks. Through this process, this argues that humans' subjects are certainly included in implementing algorithms and models and discusses the necessity and direction of engineering liberal arts, especially education of ethics that distinguished from major education to prevent distortions and biases abouts AI systems.

A Software Architecture for Supporting Dynamic Collaboration Environment on the Internet (인터넷 상에서의 동적인 협업 환경의 지원을 위한 소프트웨어 구조)

  • 이장호
    • Journal of KIISE:Computing Practices and Letters
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    • v.9 no.2
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    • pp.146-157
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    • 2003
  • Our experience with Internet-based scientific collaboratories indicates that they need to be user-extensible, allow users to add tools and objects dynamically to workspaces, per mit users to move work dynamically between private and shared workspaces, and be easily accessible on the Internet. We present the software architecture of a development environment, called Collaboratory Builder's Environment(CBE), for building collaboratories to meet such needs. CBE provides user extensibility by allowing a collaboratory to be constructed as a collection of collaborative applets. To support dynamic reconfiguration of shared workspaces, CBE uses the metaphor of room that can contain applets, users, and arbitrary data objects. Rooms can be used not only for synchronous collaboration but also for asynchronous collaboration by supporting persistence. For the access over the Internet room participants are given different roles with appropriate access rights. A prototype of the model has been implemented in Java and can be run from a Java-enabled Web browser. The implemented system had been used by 95 users including 79 space scientists around the world in a scientific campaign that ran for 4 days. The usage evaluation of the campaign is also presented.

An contention-aware ordered sequential collaborative spectrum sensing scheme for CRAHN (무선인지 애드 혹 네트워크를 위한 순차적 협력 스펙트럼 센싱 기법)

  • Nguyen-Thanh, Nhan;Koo, In-Soo
    • Journal of Internet Computing and Services
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    • v.12 no.4
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    • pp.35-43
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    • 2011
  • Cognitive Radio (CR) ad hoc network is highly considered as one of promising future ad hoc networks, which enables opportunistic access to under-utilized licensed spectrum. Similarly to other CR networks, the spectrum sensing is a prerequisite in CR ad hoc network. Collaborative spectrum sensing can help increasing sensing performance. For such an infrastructureless network, however the coordination for the sensing collaboration is really complicated due to the lack of a central controller. In this paper, we propose a novel collaborative spectrum sensing scheme in which the final decision is made by the node with the highest data reliability based on a sequential Dempster Shafer theory. The collaboration of sensing data is also executed by the proposed contention-aware reporting mechanism which utilizes the sensing data reliability order for broadcasting spectrum sensing result. The proposed method reduces the collecting time and the overhead of the control channel due to the efficiency of the ordered sequential combination while keeping the same sensing performance in comparison with the conventional cooperative centralized spectrum sensing scheme.

IoT Middleware for Effective Operation in Heterogeneous Things (이기종 사물들의 효과적 동작을 위한 사물인터넷 미들웨어)

  • Jeon, Soobin;Han, Youngtak;Lee, Chungshan;Seo, Dongmahn;Jung, Inbum
    • KIISE Transactions on Computing Practices
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    • v.23 no.9
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    • pp.517-534
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    • 2017
  • This paper proposes an Internet of Things (IoT) middleware called Middleware for Cooperative Interaction of Things (MinT). MinT supports a fully distributed IoT environment in which IoT devices directly connect to peripheral devices, easily constructing a local or global network and sharing their data in an energy efficient manner. MinT provides a sensor abstract layer, a system layer and an interaction layer. These layers enable integrated sensing device operations, efficient resource management, and interconnection between peripheral IoT devices. In addition, MinT provides a high-level API, allowing easy development of IoT devices by developers. We aim to enhance the energy efficiency and performance of IoT devices through the performance improvements offered by MinT resource management and request processing. The experimental results show that the average request rate increased by 25% compared to existing middlewares, average response times decreased by 90% when resource management was used, and power consumption decreased by up to 68%. Finally, the proposed platform can reduce the latency and power consumption of IoT devices.