• The Journal of the Korea Contents Association
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• v.19 no.2
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• pp.159-169
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• 2019

Today, the location based service(LBS) is globally developing with the advance of smart phones and IOT devices. The main purpose of this research is to provide users with the most efficient route information, analyzing big data of people with a variety of routes. This system will enable users to have a similar feeling of getting a direct guidance from a person who has often used the route. It is possible because the system server analyzes the route information of people in real time, after composing the distributed processing system on the basis of map information. In the future, the system will be able to amazingly develop with the association of various LBS services, providing users with more precise and safer route information.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.547-550
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• 2017

With the deployment of Internet of Things (IoT) services, the interest of smart building management system is rapidly increased. However, existing smart building management system has some limitations such as single point of failure, scalability, processing delay by using the centralized service platform server. To overcome these limitations, in this paper, the distributed server based smart building management scheme is proposed. In the proposed scheme, it is possible to provide fast and efficient IoT services, regardless of the scale of smart building, by using the distributed server of each floor. From the numerical analysis, it is shown that the proposed scheme provides better performance than the existing centralized scheme in terms of stability of database and service processing delay.

• The Journal of the Korea Contents Association
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• v.20 no.8
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• pp.42-53
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• 2020

With the development of social network services, graph structures have been utilized to represent relationships among objects in various applications. Recently, a demand of subgraph matching in real-time graph streams has been increased. Therefore, an efficient approximate Top-k subgraph matching scheme for low latency in real-time graph streams is required. In this paper, we propose an approximate Top-k subgraph matching scheme considering data reuse in graph stream environments. The proposed scheme utilizes the distributed stream processing platform, called Storm to handle a large amount of stream data. We also utilize an existing data reuse scheme to decrease stream processing costs. We propose a distance based summary indexing technique to generate Top-k subgraph matching results. The proposed summary indexing technique costs very low since it only stores distances among vertices that are selected in advance. Finally, we provide k subgraph matching results to users by performing an approximate Top-k matching on the summary indexing. In order to show the superiority of the proposed scheme, we conduct various performance evaluations in diverse real world datasets.

• Journal of Aerospace System Engineering
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• v.13 no.5
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• pp.1-8
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• 2019

Recently, avionics has been migrating from a federated architecture to an integrated modular architecture based on a multi-core to reduce the number of systems, weight, power consumption, and platform redundancy. The volume of data which must bo provided to the pilot through the display device has increased, because an integrated single device performs multiple functions. For this reason, the volume of data processed by the graphic processor within a fixed operation period has increased. In this paper, we provide a multi-core-based rendering engine in to perform more graphics processing within a fixed operation period. We assume the proposed method uses a multi-core-based partitioning operating system using the AMP (Asymmetric Multi-Processing) architecture.

• The Journal of the Korea Contents Association
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• v.12 no.10
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• pp.1-10
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• 2012

Many statistical methods have been adapted for terminology recognition to improve its accuracy. However, since previous studies have been carried out in a single core or a single machine, they have difficulties in real-time analysing explosively increasing documents. In this study, the task where bottlenecks occur in the process of terminology recognition is classified into linguistic processing in the process of 'candidate terminology extraction' and collection of statistical information in the process of 'terminology weight assignment'. A terminology recognition system is implemented and experimented to address each task by means of the distributed parallel processing-based MapReduce. The experiments were performed in two ways; the first experiment result revealed that distributed parallel processing by means of 12 nodes improves processing speed by 11.27 times as compared to the case of using a single machine and the second experiment was carried out on 1) default environment, 2) multiple reducers, 3) combiner, and 4) the combination of 2)and 3), and the use of 3) showed the best performance. Our terminology recognition system contributes to speed up knowledge extraction of large scale science and technology documents.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.05a
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• pp.1209-1212
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• 2007

본 논문에서는 대표적인 산업용 프로토콜인 DNP(Distributed Network Protocol) 3.0과 TETRA(Terrestrial Trunked Radio)의 Gateway System Architecture를 제안한다. TETRA는 재난망 무선통신 기술로써 여러가지 타입의 무선 인터페이스를 제공한다. 이러한 TETRA 기술을 이용해서 원거리에 있는 각 산업용 장비들의 감시 제어를 보다 효율적으로 수행 할 수 있다. 하지만 아직 TETRA의 국내 표준이 이루어지지 않은 상태이기 때문에 본 논문에서는 다양한 산업용 장비와 인터페이스를 할 수 있는 표준을 제공하고자 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2003.05a
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• pp.193-196
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• 2003

최근 P2P 모델을 기반으로 한 애플리케이션의 등장으로 다양한 자원을 효율적으로 이용할 수 있게 되었다. P2P에서는 여러 대의 클라이언트를 상호 긴밀하게 연결함으로써 한 대의 서버에 다수의 클라이언트를 연결했을 때 보다 확실한 네트워크의 효과를 기대할 수 있다. 그러나, P2P 모델의 경우 개인 PC가 서버로서의 역할을 동시에 수행하기 때문에 서버보다는 기능과 성능 면에서 떨어질 뿐 아니라 기존의 서버에 비해 상대적으로 낮은 처리 속도, 적은 메모리, 보안상의 문제점들이 있다. 본 논문에서는 P2P 기반의 문제점의 하나인 피어(Peer)간의 파일 공유로 인해 발생하는 문제들을 해결하고자 기존의 파일 공유 기법을 개선하였다. 제안된 파일 공유 기법은 데이터의 무결성을 보장하고 파일의 상태 정보를 모니터링 함으로써 짧은 시간 안에 보다 효율적으로 파일을 교환할 수 있도록 하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2004.05a
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• pp.1323-1326
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• 2004

본 연구에서는 OPC(OLE for Process Control)가 마이크로소프트의 COM(Component Object Model)과 DCOM(Distributed COM) 기술을 사용함으로써 윈도우즈 플랫폼에서 클라이언트 어플리케이션이 개발되어 져야 하는 제약을 해결하기 위하여 Java2OPC Gateway를 제안한다. Java2OPC Gateway는 프로세스 컨트롤 장비와 연결된 OPC 서버쪽과 통신하는 클라이언트의 기능과 다양한 플랫폼에서 프로세스 데이터에 접근하기 위한 자바 어플리케이션과 통신하는 서버의 기능을 가진다. 클라이언트 모듈은 C로 작성되고 서버 모듈은 Java로 작성되어 클라이언트 모듈과 서버 모듈은 JNI(Java Native Interface)로 연결 된다.

• Journal of Korea Multimedia Society
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• v.8 no.3
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• pp.355-361
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• 2005

This paper proposed a system collecting image information by agents in multi-threaded environment and then retrieving them with content based image retrieval. This system uses multi threads to retrieve web information effectively, then improves efficiency of CPU cycles to reduce latency time, which is the time requesting queries, executing communication processing 4hat the retrieval agents perform and filtering the retrieval results. Also, the agents for image retrieval use Java language, which is platform independent, to be suitable for distributed environment. Using JDBC to save the retrieved images, the agents are connected to database. The images themselves are stored in distributed agents' databases, and only the image indexes are stored in an index server so that the efficiency of storage and retrieval time can be improved.

• The KIPS Transactions:PartA
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• v.10A no.4
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• pp.295-304
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• 2003

Active object is an Independent runnable unit which is scheduled by CPU in creation time. In this paper, we define the active object and suggest ART(Active object RunTime support systems) which controls creation and execution of the active object. ART can Provide users locational transparency and support easy method call mechanism. We also designed a communication model among active objects and implemented a communication method to make the distributed programing possible. The implementation target platform of ART is an embedded system which has only limited resources and runs in the distributed computing environment.