• The Journal of Korean Institute of Communications and Information Sciences
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• v.42 no.4
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• pp.780-784
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• 2017

Data discovery and distribution application that is utilized by climate, high energy physics, and other scientific communities are experiencing performance and large scale data managing problems, that are rooted from the shortcomings of IP architecture. To solve this problem, newly developed data managing applications based on NDN architecture were introduced. In this letter, we present the federated NDN testbed with an NDN-based climate science application and the set of experiments that reflect the performance of NDN based climate application in general with determined and applied optimization.

• Asia pacific journal of information systems
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• v.10 no.2
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• pp.23-49
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• 2000

We proposed a conceptual design of the web-based agent model for global supply chain management(GSCM), where agents representing autonomous operational units, such as suppliers, factories, distribution center and customers, cooperate and are coordinated through the information exchange. The agent model assumed the hierarchical federated system. In the federated system, the agents of the same region are grouped and linked to the region-specific facilitator only through which communication between agents is allowed. The facilitator is responsible for monitoring and controlling the conversations consisting of the message flows across the agents. A web-based user presentation was also designed so that human users could involve in collaborative settings into the GSCM multi-agent system. In the conversation protocols which allow for complex coordinated behavior among agents, the KQML was extended to represent the messages. A GSCM scenario where the supply chain is formed upon customer order and supply decision is made was used to demonstrate the dynamics of the conversation protocols.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.55 no.9
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• pp.414-419
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• 2006

This paper presents a design of a multi-sensor data fusion filter for a Flight Test System. The multi-sensor data consist of positional information of the target from radars and a telemetry system. The data fusion filter has a structure of a federated Kalman filter and is based on the Singer dynamic target model. It consists of dedicated local filter for each sensor, generally operating in parallel, plus a master fusion filter. A fault detection and correction algorithms are included in the local filter for treating bad measurements and sensor faults. The data fusion is carried out in the fusion filter by using maximum likelihood estimation algorithm. The performance of the designed fusion filter is verified by using both simulation data and real data.

• Journal of the Korea Society of Computer and Information
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• v.27 no.4
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• pp.9-17
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• 2022

The state-of-the-art AI systems pose many ethical issues ranging from massive data collection to bias in algorithms. In response, this paper proposes a more ethic-friendly AI architecture by combining Federated Learning(FL) and Blockchain. We discuss the importance of each issues and provide requirements for an ethical AI system to show how our solutions can achieve more ethical paradigms. By committing to our design, adopters can perform AI services more ethically.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.533-534
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• 2023

본 논문에서는 불균형하게 분포된(Non-IID) 데이터를 소유하고 있는 데이터 소유자(클라이언트)들을 가정하고, 데이터 소유자들 간 원본 데이터의 직접적인 이동 없이도 딥러닝 학습이 가능하도록 연합학습을 적용하였다. 실험 환경 구성을 위하여 MNIST 손글씨 데이터 세트를 하나의 숫자만 다량 보유하도록 분할하고 각 클라이언트에게 배포하였다. 연합학습을 적용하여 손글씨 분류 모델을 학습하였을 때 정확도는 85.5%, 중앙집중식 학습모델의 정확도는 90.2%로 연합학습 모델이 중앙집중식 모델 대비 약 95% 수준의 성능을 보여 연합학습 시 성능 하락이 크지 않으며 특수한 상황에서 중앙집중식 학습을 대체할 수 있음을 보였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2024.05a
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• pp.780-783
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• 2024

본 논문에서는 지속적으로 최적화된 인공지능 모델을 적용하기 위한 방안으로 연합 학습(Federated Learning)을 활용한 접근법을 제시한다. 최근 다양한 산업 분야에서 인공지능 활용에 대한 필요성이 증가하고 있다. 금융과 같은 일부 산업은 강력한 보안, 높은 정확도, 규제 준수, 실시간 대응이 요구됨과 동시에 정적 시스템 환경 특성으로 적용된 인공지능 모델의 최적화가 어렵다. 이러한 환경적 한계 해결을 위하여, 연합 학습을 통한 모델의 최적화 방안을 제안한다. 연합 학습은 데이터 프라이버시를 유지하면서 모델의 지속적 최적화를 제공이 가능한 강력한 아키텍처이다. 그러나 연합 학습은 클라이언트와 중앙 서버의 반복적인 통신과 학습으로, 불필요한 자원에 대한 소요가 요구된다. 이러한 연합 학습의 단점 극복을 위하여, 주요도 높은 클라이언트의 선정 및 클라이언트와 중앙 서버의 조기 중단(early stopping) 전략을 통한 지속적, 효율적 최적화가 가능한 연합 학습 모델의 운영 전략을 제시한다.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1996.10a
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• pp.197-197
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• 1996

• The Journal of the Korea Contents Association
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• v.12 no.8
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• pp.77-86
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• 2012

Avionics system are composed of multiple electronic device that performs important missions the number of electronic devices for the performance of aircraft has been gradually increasing. As a result, cost of development, maintenance and operating have increased. To solve this problem, technology paradigm of avionics has been shifting from federated avionics systems that manage to each system independently to IMA(Integrated Modular Avionics) systems. Unlike federated systems, fault tolerance becomes an essential technology in IMA systems. Because each aircraft features integrated in the an IMA system, a fault can jeopardize the entire system. In this paper, we define faults which can occur on the ARINC 653 based IMA system first, and design the ARINC 653 compliant HM(health Monitoring) system for the system can continue to operate be normal when occur a fault.

• Ocean and Polar Research
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• v.34 no.3
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• pp.297-304
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• 2012

Pylaiella littoralis was collected in the Chuuk lagoon of the Federated States of Micronesia (FSM). The FSM has a variety of coral reef ecosystems, which provide essential materials, such as minerals, vitamins, essential amino acids, for marine organisms. In this study, the antioxidant activities of ethanol and enzymatic extracts of P. littoralis were evaluated by measuring their scavenging activities on DPPH free radical, Alkyl radical, hydroxyl radical and cell viability. The enzymatic extracts were hydrolyzed to prepare water soluble extracts by using five carbohydrate degrading enzymes (AMG, Celluclast, Termamyl, Ultraflo, and Viscozyme) and five proteases (Alcalase, Flavourzyme, Kojizyme, Neutrase, and Protamex). As a result, the enzymatic extracts prepared by Flavourzyme, Ultraflo, and Kojizyme exhibited the greatest effects in DPPH free radical, alkyl radical scavenging activity and cell viability. Also, these enzymatic extracts had a higher antioxidant effect then commercial antioxidants in DPPH free radical and Alkyl radical scavenging activity. This study suggests that P. littoralis might be a useful source of natural antioxidants for the development of dietary supplements.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.10
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• pp.1947-1957
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• 2015

CCN networking is one of the future internet. With the rapid development of network platforms emerged a wide range of services through a virtual network environment. The performance of CCN in the high bandwidth delay is important to provide various services between nations. We can check the high bandwidth delay product in federation. Federation between the nations has the advantage of being effective to do a various services for the users, and the remote heterogeneous physical hardware engine supports various environments. Data transmission delay can be occur in long distance network even though the network is federated network. In this paper, we propose CCN-Helper protocol for data transmission delay in ling distance networks. We connect from KREONET in Korea to iLab.t in Belgique in order to test CCNx over heterogeneous federated environment.