• Journal of Korean Institute of Industrial Engineers
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• v.25 no.2
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• pp.150-161
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• 1999

This paper deals with the design and development of a real-time integrated communication architecture for heterarchical SFCS(Shop Floor Control System). In autonomous agent-based heterarchical SFCS, each functional unit of parts and resources is equipped with an intelligent controller (agent) that acts as the representative of the entity. The controllers communicate and negotiate with other controllers on a real-time basis through message passing and bidding protocol to achieve mutual agreements for task sharing. ICPL(Integrated Communication Protocol and Language) is proposed for this purpose. ICPL is a language and a protocol for supporting communication among intelligent controllers. Based on the speech act theory, this paper proposes a semantic description for ICPL that associates the description of the cognitive states of controllers with the use of language primitives (message_type). Semantics for the basic set of ICPL messages is described. Eventually, an ICPL-based communication architecture can provide the implementation of the distributed and heterarchical SFCS, and makes the intelligent controller transparent to the negotiation problem.

• Journal of the Korea Institute of Military Science and Technology
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• v.14 no.6
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• pp.1081-1090
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• 2011

High Level Architecture(HLA) is a specification for interoperation among heterogeneous simulators which are executed in a distributed environment. HLA originally allows a number of federates to join in a federation using a single RTI(Run-Time Infrastructure). To interoperate federations without modifying RTI, agent federate, which represents behavior of a federation, can be used. Agent federate can use MOM(Management Object Model) service or agent-user protocol to acquire information of a federation. This paper performs various experiments to measure performance of two architectures. MOM service shows a loss of performance but can be applied without modifying user federates. Experiment results can be used to determine appropriate architecture for interoperation of federations.

• Proceedings of the Korea Society for Simulation Conference
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• 2003.11a
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• pp.95-103
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• 2003

Event notification service is a event-based messaging middle ware service needed for various vertical domains, such as, business applications, distributed system management, and web service integration. In this paper, we investigate the architecture of an event notification service that includes a subject-based event dissemination service and a flexible message communication service. The event dissemination service is in charge of transferring events asynchronously but speedy according to the subjects of events and their environmental knowledge. It also includes content-based message filtering. The message communication service provides a common communication infrastructure supporting variety types of messages and variety of protocols. Depending on application domains and situation, we can re-configurate the communication infrastructure in order to optimize the efficiency and usability. This paper shows the performance analysis of our event notification service with various types of message formats and protocols.

• Bulletin of the Society of Naval Architects of Korea
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• v.13 no.3
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• pp.1-9
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• 1976

A numerical method for solving the boundary-value problem related to potential flows with a free surface and an experimental work are introduced in this paper. The forced heaving motion of cylinders with arbitrary shapes in water of finite depth are Considered here. The Fredholm integral equation of the first kind is employed in determining strengths of singularities distributed on the body surface. And the results obtained by the present method for the case of a heaving circular cylinder on water of finite depth agree well with existing results of earlier investigators.

• Ocean Systems Engineering
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• v.9 no.1
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• pp.79-95
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• 2019

The material analysis of an offshore structure is generally conducted in the contract design phase for the price quotation of a new offshore project. This analysis is conducted manually by an engineer, which is time-consuming and can lead to inaccurate results, because the data size from previous projects is too large, and there are so many materials to consider. In this study, the piping materials in an offshore structure are analyzed for contract design using a big data framework. The big data technologies used include HDFS (Hadoop Distributed File System) for data saving, Hive and HBase for the database to handle the saved data, Spark and Kylin for data processing, and Zeppelin for user interface and visualization. The analyzed results show that the proposed big data framework can reduce the efforts put toward contract design in the estimation of the piping material cost.

• International Journal of Advanced Culture Technology
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• v.9 no.1
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• pp.218-223
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• 2021

Pervasive enhancement and required enforcement of the Internet of Things (IoTs) in a distributed massively multiplayer online architecture have effected in massive growth of Big-Data in terms of server over-load. There have been some previous works to overcome the overloading of server works. However, there are lack of considered methods, which is commonly applicable. Therefore, we propose a combing Sparse Auto-Encoder and Load-Balancing, which is ProGReGA for Big-Data of server loads. In the process of Sparse Auto-Encoder, when it comes to selection of the feature-pattern, the less relevant feature-pattern could be eliminated from Big-Data. In relation to Load-Balancing, the alleviated degradation of ProGReGA can take advantage of the less redundant feature-pattern. That means the most relevant of Big-Data representation can work. In the performance evaluation, we can find that the proposed method have become more approachable and stable.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.4
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• pp.1146-1165
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• 2022

A huge amount of data in the form of videos and images is being produced owning to advancements in sensor technology. Use of low performance commodity hardware coupled with resource heavy image processing and analyzing approaches to infer and extract actionable insights from this data poses a bottleneck for timely decision making. Current approach of GPU assisted and cloud-based architecture video analysis techniques give significant performance gain, but its usage is constrained by financial considerations and extremely complex architecture level details. In this paper we propose a data pipeline system that uses open-source tools such as Apache Spark, Kafka and OpenCV running over commodity hardware for video stream processing and image processing in a distributed environment. Experimental results show that our proposed approach eliminates the need of GPU based hardware and cloud computing infrastructure to achieve efficient video steam processing for face detection with increased throughput, scalability and better performance.

• International conference on construction engineering and project management
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• 2017.10a
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• pp.245-251
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• 2017

Integrated Project Delivery (IPD) is a procurement method that has been proved to improve construction project performance. However, in China implementation of IPD practices in construction projects is unknown though some researchers have studied the problems and constraints in adoption IPD. The purpose of this study was to explore IPD adoption in Chinese construction industry. Critical components of IPD implementation were reviewed, and questionnaires were distributed to collect industry views. The results revealed that IPD uptake is still low. In particular, the liability waiver and shared risks and rewards have been rarely used. In addition, co-location, value engineering method and the new compensation approach have also been hardly adopted. Some practices related to early involvement of key parties were adopted. Surprisingly, the findings indicate that the client has been continuously involved in the projects. The findings may imply that the legal issues and problems of contractual frameworks are still constraining IPD implementation in Chinese construction industry.

• International Journal of Computer Science & Network Security
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• v.24 no.9
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• pp.157-161
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• 2024

Cloud computing becomes an important technology for distributed computing and parallel computing. Cloud computing provides various facility like to share resources, software packages, information, storage and many different applications depending on user demand at any time and at any place. It provides an extensive measure for computing and storage. A service provided by it to user follows pay-as-you-go model. Although it provides many facilities still there is some problem which are resource discovery, fault tolerance, load balancing, and security. Out of these Load balancing is the main challenges. There are many techniques which used to distribute wor9kload or task equally across the servers. This paper includes cloud computing, cloud computing architecture, virtualization and MS load balancing technique which provide enhanced load balancing.

• Proceedings of the IEEK Conference
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• 2000.06a
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• pp.85-88
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• 2000

Distributed Control System(DCS) is one of the best solutions to implement control systems because it provides continuous observation of control process and execution of commands to induce proper operations. In this paper, a design of control network for DCS in nuclear power plant is proposed. The proposed control network on DCS has a simple architecture and deterministic property. Thus, the proposed control network offers hard real-time periodic service. It also has redundant media for the fault-tolerance. As a result, high safety and reliability required in nuclear power plant are guaranteed.