• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.3
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• pp.391-398
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• 2018

There are many problems caused by data sharing between general heterogeneous digital devices due to various interfaces. To solve this problem, this paper proposes heterogeneous data sharing with cloud service and mobile through D2D communication that supports communication between different devices. The proposed technique is used to reduce the load on the server to perform data synchronization. Also, in order to minimize data latency caused by data replication between different devices, a technique to enhance the speed of data writing with copying only the modified parts in the chunk list is adopted and cloud service model integrated with mobile environment is realized in order to minimize the network bandwidth consumed for synchronization for data sharing. Therefore, it is possible to share data in different spaces efficiently with maintaining data integrity and minimizing latency in data.

• Proceedings of the Korea Information Processing Society Conference
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• 2002.04b
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• pp.1155-1158
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• 2002

고리 및 영광 등 국내 원자력발전소의 디지털 방사선 감시계통(DRMS)는 이기종의 방사선 계측장치와 계측데이터 수집, 처리 장치의 혼합으로 구성되는 경우가 많아서 DRMS 가 갖추어야 될 계통 구성의 신축성과 운영편리성을 위하여 개선점이 많은 것으로 판단된다. Java 프로그래밍 언어를 확장하는 Jini 의 기술은 확장성(Scalability)과 건전성(Robustness), 이식성 (Portability), 그리고 원자력 발전소 계통 설계요건에서 가장 중요시되는 고장 대처능력 (Failure-tolerance)을 갖춘 DRMS 구성을 가능하게 한다. 본 논문은 Jini 기술을 이용하여 초기 및 운영 비용을 절감하면서도 효율성과 안전성을 증대시킬 수 있는 새로운 DRMS 구축방안을 제시한다.

• Proceedings of the Korean Information Science Society Conference
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• 2003.10b
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• pp.448-450
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• 2003

정보화 기기가 소형화 됨에 따라, 언제 어디서나 다양한 고성능의 정보화 기기를 사용할 수 있게 되었다. 이러한 환경 하에서 이 기종간의 자유로운 인터페이스의 필요성이 점점 부각되고 있다. 본 논문은 PDA를 이용한 이기종 컴퓨터의 작동과 통신 방법의 제공에 관한 연구 논문이다. 지능형가상작업공간 상에서 각종 정보 기기들은 카메라와 프로젝터를 통해 자신의 뷰를 확장하며 공동작업에 참가하게된다. 이때 PDA를 데스크탑의 입력장치로 사용함으로써 이 기종간의 정보교환을 편리하게 해주며, 이를 이용한 카메라 기반 3D 마우스를 구현함으로써 실용성을 보인다.

• Journal of Digital Convergence
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• v.19 no.3
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• pp.211-216
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• 2021

Information from various heterogeneous devices is steadily increasing in distributed cloud environments. This is because high-speed network speeds and high-capacity multimedia data are being used. However, research is still underway on how to minimize information errors in big data sent and received by heterogeneous devices. In this paper, we propose a deep learning-based asymmetric storage management technique for minimizing bandwidth and data errors in networks generated by information sent and received in cloud environments. The proposed technique applies deep learning techniques to optimize the load balance after asymmetric hash of the big data information generated by each device. The proposed technique is characterized by allowing errors in big data collected from each device, while also ensuring the connectivity of big data by grouping big data into groups of clusters of dogs. In particular, the proposed technique minimizes information errors when storing and managing big data asymmetrically because it used a loss function that extracted similar values between big data as seeds.

• The Journal of Bigdata
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• v.6 no.1
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• pp.115-125
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• 2021

Due to various ICT Technology innovations and Digital Transformation, the Internet of Things(IoT) environment is increasingly requiring intelligence, decentralization, and automated service, especially an advanced and stable smart service environment in the Industrial Internet of Things(IIoT) where communication network(5G), data analysis and artificial intelligence(AI), and digital twin technology are combined. In this study, we propose IIoT Edge middleware systems for flexible interface with heterogeneous devices such as facilities and sensors at various industrial sites and for quick and stable data collection and processing.

• Journal of Digital Contents Society
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• v.12 no.3
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• pp.309-318
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• 2011

The web trend has been flowed from portal site to user created contents site, recently. Therefore, many companies have suggested web program of producing contents for user's convenience. However, web applications that are operated in various web browsers and heterogeneous devices have many problems regarding distribution and management so far. Because of diverse one-source data formats. In this paper, we present an integrative displaying and distributing tool (IDD-Tool) for editing, distributing and managing multimedia contents and environment so that users can work. It is inspected that the tool is widely used in the fields of education, publication, corporations and etc. because a user can participates in contents producing easily in personal customized workplace with IDD-Tool and contents made by IDD-Tool are distributed.

• Journal of Digital Convergence
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• v.18 no.3
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• pp.189-194
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• 2020

Recently, various clustering techniques have been studied to efficiently handle data generated by heterogeneous IoT devices. However, existing clustering techniques are not suitable for mobile IoT devices because they focus on statically dividing networks. This paper proposes a probabilistic deep learning-based dynamic clustering model for collecting and analyzing information on IoT devices using edge networks. The proposed model establishes a subnet by applying the frequency of the attribute values collected probabilistically to deep learning. The established subnets are used to group information extracted from seeds into hierarchical structures and improve the speed and accuracy of dynamic clustering for IoT devices. The performance evaluation results showed that the proposed model had an average 13.8 percent improvement in data processing time compared to the existing model, and the server's overhead was 10.5 percent lower on average than the existing model. The accuracy of extracting IoT information from servers has improved by 8.7% on average from previous models.

• Journal of Digital Convergence
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• v.11 no.12
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• pp.393-399
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• 2013

Recently, the quantity and type of data that is being processed in cloud environment are varied. A method for easy access in different network in a heterogeneous environment of big data stored in the device is required. This paper propose security management method for smoothly access to big data in other network environment conjunction with attribute information between big data and user. The proposed method has a high level of safety even if user-generated random bit signal is modulated. The proposed method is sufficient to deliver any number of bits the user to share information used to secure recognition. Also, the security awareness information bit sequence generated by a third party to avoid unnecessary exposure value by passing a hash chain of the user anonymity is to be guaranteed to receive.

• Journal of the Korea Computer Graphics Society
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• v.24 no.4
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• pp.11-20
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• 2018

Applications about systems integration of sensors and virtual environments have been developed increasingly. Accordingly, there is a need for the ability to represent, control, and manage physical sensors directly in a 3D virtual environment. In this research, a method of representing physical sensor devices in a 3D virtual environment has been defined using mixed and augmented reality, including virtual and real worlds, where sensors and virtual objects co-exist. The research is intended to control and manage various physical sensors through data sharing and interchange between heterogeneous computing environments. In order to achieve this, general sensor types have been classified, and a sensor based 3D scene graph for representing the functions of sensors has been defined. In addition, a sensor data model has been defined using the scene graph. Finally, a sensor 3D viewer has been implemented based on the scene graph and the data model so as to simulate the functions of sensors in indoor and outdoor 3D environments.

• The KIPS Transactions:PartB
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• v.15B no.1
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• pp.37-44
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• 2008

With the growing proliferation of mobile computing devices, several industrial and academic research groups have a vigorous studying to remote control for various appliances with mobile devices such as Notebooks, PDAs, and Smartphones in home network environments. We can utilize the good points of mobile devices such as portability and usability so that we can remote control and manage the mobile devices connected on home networks anytime, anywhere. However, mobile devices use different languages. Therefore, they cause some problems because their interfaces and the methods of operation are different each other. To solve these problems, there are two consideration. First, we may be solved development of the user interface and difficulty of maintenance in order to control various heterogeneous devices. Second, we may provide the user interface which is dynamically adapting user's preferences and device characteristics. To satisfy these considerations, we describe the design of an adaptive user interface for home network environments using the UIML (User Interface Markup Language) based on XML (eXtensible Markup Language) and the profile information of the user and device. Therefore, we present several implementation examples that show how the framework can form the basis of prototypical applications.