• Journal of the Korean Society for Precision Engineering
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• v.31 no.4
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• pp.303-309
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• 2014

This paper contains how to integrate production resources of 4M1E (Man, Machine, Material, Method and Energy), analyze and collect various type of management information which emphasize the need of a common platform's 4M1E Middleware and Autonomous Configuration. Management efficiency improved by the functionality of integrated management information and digitizing information with standardized data.

• Journal of the Korea Institute of Military Science and Technology
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• v.16 no.5
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• pp.659-665
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• 2013

IPCS(Inter Process Communication Service) is a real-time communication middleware designed for warship combat battle systems based on publisher-subscriber communication model. Because IPCS was originally designed to operated under 100 Mbps network environment, increasing network speed into Gigabit environment does not linearly increase the throughput of IPCS. To solve this problem, we anaylized IPCS structure and optimized IPCS into Gigabit-Ethernet environment. We found parameters to improve IPCS based on UDP and Token-ring structure. By improving, IPCS has reliability and higher throughput than TCP although IPCS is based on UDP.

• 한국정보컨버전스학회:학술대회논문집
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• 2008.06a
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• pp.71-74
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• 2008

The current middleware, managing the bridges equipped whit sensor networks on real-time basis, merely processes the data collected from the sensor networks, In this study, we develop a very versatile middleware which mediates between sensor nodes and exclusive applications or web browsers. It collects and processes the data from the network. On database failures, it stores the data in a file and sends them to the database at a proper speed considering the rate of the database system when the database is restored. Lastly, in order to notice abnormality of the bridge to the operators when some problems occur in the bridge, we propose a mechanism for producing alarm signals.

• Transactions on Control, Automation and Systems Engineering
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• v.3 no.3
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• pp.190-195
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• 2001

The advance of computer, network, and Internet technology enables the control systems to process the massive data in the distributed computing environments. To implement and maintain the software in distributed environment, the component-based methodology is widely used. This paper proposes the middleware architecture for the distributed computer control system. With the proposed middleware services, it is relatively easy to maintain compatibility between products and to implement a portable control application. To achieve the compatibility between heterogeneous systems, the proposed architecture provides the communication protocols based on the XML with lightweight event-based service.

• Proceedings of the Korean Information Science Society Conference
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• 2002.04a
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• pp.373-375
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• 2002

리눅스 컴퓨터 시스템에 실시간 웅용프로그램들을 실행할 경우, 실시간 응용프로그램 자체의 내부나 하부에 실시간 시스템 지원을 위한 엔진을 내장하고 있어야 만다. 그러나 기존의 리눅스 시스템들에 실시간 웅용프로그램을 적용하기 위만 실시간성을 보장 받기 위해서는 스케줄러의 실시간성 빈약 등으로 인해 운영체제의 수정이 불가피한 상황이다. 또한 운영체제의 수정은 호환성의 결여라는 문제를 야기시킨다. 이를 위해 사용하는 방식이 Middleware 방식이다. 실시간 시스템 지원 Middleware 는 운영체제와 실시간 지원 응용프로그램 사이에 위치하여 운영체제 자제가 가지고 있는 부족한 실시간성을 보완하여 주고, 응용프로그램이 적절하고 효과적으로 시스템 서비스들을 이용할 수 있게 해준다. 본 논문에서는 Middleware가 부족간 실시간성을 보완하기 위하여 사용할 수 있는 Middleware 스케줄러의 방식에 대하여 논하고, 효율적인 설계방식을 제안한다.

• Journal of the Korea Society of Computer and Information
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• v.17 no.1
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• pp.193-202
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• 2012

RFID tag awareness information and sensor data continuously change, and are categorized with the position. They are able to similar data in the side, called massive data to change in time. If two data are managed together, a convergence process of object awareness along change of environment is possible. If RFID middleware and EPCIS repository realized the integrated system, it is usable with the functions of middleware and repository at the same time. The real-time awareness information retrieval is possible without process, getting information from another middleware. In this paper, it is able to continuously read information from RFID reader and sensor equipment and store to database in order to make general object awareness and an object retrieval dependent on an environmental information change possible by real time. ALE-compliant middleware and EPCIS repository proposing for standards at EPCglobal is designed and implemented to be able to deal with RFID and sensor data to bases on the collected data.

• The KIPS Transactions:PartA
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• v.19A no.2
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• pp.101-112
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• 2012

In recently years, distributed real-time software has performed important roles in various areas. Real-time applications should be performed with satisfying strict constraints on response time. Usually real-time applications are developed on the real-time supporting middleware such as TMO(Time-triggered, Message-triggered Object), CORBA/RT, and RTAI. However, it is not easy to develop applications using them since these real-time middleware are unfamiliar to programmers. In this paper, we propose an automatic code generator for real-time application based on TMO in order to reduce development costs. For increasing or reflecting the characteristics of TMO into the design model, SpM and SvM methods are added into the class diagram, which have time constraints as their properties. And behaviors of them are represented as separated regions on state machine diagram in different abstract level. These diagrams are inputted into TMO-based code automatic generator, which generates details of the TMO class. Our approach has advantages for decreasing effort and time for making real time software by automatically generating TMO codes without detailed knowledge of TMO.

• Journal of Korea Spatial Information System Society
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• v.11 no.1
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• pp.43-54
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• 2009

As R&D(Research and Development) is going on actively to develop technologies for the ubiquitous computing environment, which Is the human-oriented future computing environment, GIS dealing with spatio-temporal data is emerging as a promising technology. This also increases the necessity of the middleware for providing services to give interoperability in various heterogeneous environments. The core technologies of the middleware are real-time processing technology of data streams coming unceasingly from positioning systems and data stream processing technology developed for non-spatio-temporal data. However, it has problems in processing queries on spatio-temporal data efficiently. Accordingly, this paper designed and implemented the spatio-temporal middleware that provides interoperability between a mobile spatio-temporal DBMS(DataBase Management System) and a server spatio-temporal MMDBMS(Main Memory DataBase Management System). The spatio-temporal middleware maintains interoperability among heterogeneous devices and guarantees data integrity in query processing through real-time processing of unceasing spatio-temporal data streams and two way synchronization of spatio-temporal DBMSs. In addition, it manages session for the connection of each spatio-temporal DBMS and manages resources for its stable operation. Finally, this paper proved the usability of the spatio-temporal middleware by applying it to a real-time position tracking system.

• Journal of Internet Computing and Services
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• v.18 no.3
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• pp.1-9
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• 2017

Smart Cities intelligently manage numerous infrastructures, including Smart-City IoT devices, and provide a variety of smart-city applications to citizen. In order to provide various information needed for smart-city applications, Smart Cities require a function to intelligently process large-scale streamed big data that are constantly generated from a large number of IoT devices. To provide smart services in Smart-City, the Smart-City Consortium uses stream reasoning. Our stream reasoning requires real-time processing of big data. However, there are limitations associated with real-time processing of large-scale streamed big data in Smart Cities. In this paper, we introduce one of our researches on cloud computing based real-time distributed-parallel-processing to be used in stream-reasoning of IoT big data in Smart Cities. The Smart-City Consortium introduced its previously developed smart-city middleware. In the research for this paper, we made cloud computing based real-time distributed-parallel-processing available in the cloud computing platform of the smart-city middleware developed in the previous research, so that we can perform real-time distributed-parallel-processing with them. This paper introduces a real-time distributed-parallel-processing method and system for stream reasoning with IoT big data transmitted from various sensors of Smart Cities and evaluate the performance of real-time distributed-parallel-processing of the system where the method is implemented.

• The KIPS Transactions:PartC
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• v.13C no.6 s.109
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• pp.669-676
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• 2006

In this paper, we present a new framework and stream synchronization mechanism to effectively support developing real-time multimedia streaming services by using a real-time object model named TMO (Time-triggered Message-triggered Object). The purpose of the framework is twofold. Firstly, the framework helps developers to design complex distributed real-time multimedia streaming services. Secondly, it supports timely streaming facilities. In order to achieve these goals, our framework is consist of Multimedia Streaming TMO, MMStreaming TMO Support Library and TMO Support Middleware. The time-triggered spontaneous feature of the MMStream TMO and a global-time based synchronization scheme is used as a regulator against the irregular deliveries and processing of media units caused by QoS non-guaranteed systems and communication channels. In conclusion, timely service capability of our framework is expected to contributed to overall enhancement of the real-time multimedia streaming.