• KEPCO Journal on Electric Power and Energy
• /
• v.6 no.2
• /
• pp.129-135
• /
• 2020

The standardization of e-IoT (energy Internet of Things) communication and service, which is the energy field of energy, is to define the standard model and to demonstrate the practical model in order to take the lead and occupy the market where new market is created with the latest technology. In particular, detailed technical specifications are defined for developing a framework for IoT technology, the foundation technology of the 4th Industrial Revolution, securing interoperability through standardization, and operating a standard platform. In this paper, we propose a method for e-IoT standard protocol lightening and test certification procedure. The proposed method provides a product implementation method that can solve the problem of low power issue of e-IoT product in the future.

• Journal of the Korea Society for Simulation
• /
• v.26 no.1
• /
• pp.1-11
• /
• 2017

During the past several years the ROK military has made an effort to build LVC synthetic battlefield that reflects the real world environment. In spite of its efforts, little has been accomplished. The disappointing achievement is mainly due to the lack of operational requirements and concepts, and policies or systematic approaches on the architecture and technology. Furthermore, there is insufficient understanding on the basic concepts and principles, and conflicting interests between organizations. In this study, I propose to construct an LVC based on the HLA that focuses on the system view and technical standard view, rather than the operational view. The proposed approach employs the information centric integration, focuses on an architecture convergence efforts based on the HLA/RTI, emphasizes the HLA compliance test and federation test, adapts to DSEEP, DMAO, and FEAT, and finally invents and implements an LVC Compliance Test System.

• Spatial Information Research
• /
• v.16 no.2
• /
• pp.157-171
• /
• 2008

With emerging technologies on wireless networks and mobile computing environment, a number of researches have been carried out for ubiquitous computing. An important functional requirement of ubiquitous computing is to handle location data with ease. With the increase of accidents in large complex buildings. move attention is being paid to indoor spaces and evacuation. However, most currently used evacuation-related applications are simulation based on hypothetical data. Also, since they use non-georeferenced CAD data, it is not easy to integrate them with indoor positioning devices. With the recent progress of indoor positioning systems, the simulators can be enhanced to real-time evacuation systems. As a preliminary stage to make such systems possible, this study proposes using a georeferenced data and evacuation simulation. This study used GIS data and Cellular Automata theory an the algorithm for the movement of the evacuee.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.15 no.3
• /
• pp.7-13
• /
• 2015

Generally, watermarking can be used copyright for contents such as audios, videos, images, and texts. With the development of Internet, many malicious attackers illegally copy relational databases synchronized applications Therefore, it is needed for the protection of databases copyright, because databases involve various sensitive information such as personal information, information industry, and secret national intelligence. Thus, the protection of relational databases is a major research field in the databases research topics. In this paper, we will review previous researches related the protection of relational databases and propose new method for relational data. Especially, we propose watermarking scheme for databases using reversible method in this paper. As an experimental result, the proposed scheme is very strong to malicious attacks. In addition, we proved our proposed scheme is to apply real application.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.10 no.12
• /
• pp.1403-1410
• /
• 2015

The purpose of this study is to provide ways to utilize and create valuable medical information utilizing Medical Big Data created by field in hospital information system. The results of this study first creates new medical information of Medical Information system through medical big data analysis and integration of created data of PACS linked with many kinds of testing equipment and medical image equipment along with medical treatment information. Medical information created in this way produces various health information for treatment and prevention of disease and infectious disease. Second, it creates profit statistics information in various ways by analyzing medical big data accumulated through integration of billings and receipt, admission breakdown of patients. Profit statistics information created in this way produces various administration information to be utilized in profit anaysis and operation of medical institution. Likewise, data integration of personal health history, medical information of public institutions, medical information created in hospital information system produces valuable medical health information utilizing medical data.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2018.10a
• /
• pp.457-460
• /
• 2018

The mobile communication based train control is the train control system by utilizing wireless communication rather than conventional wired communication. Traditional train control operates train occupation, safety integrity and moving authority using fixed block wired railway signal system. Since introduction of mobile communication in railway area, railway operators can provide improved passager services. Futhermore, it can replace inefficient train onboard equipments and railway ground facilities for economic benefits. In this paper we introduce mobile communication based railway system currently in operation around the world. Moreover, we provide the minimum requirements of the radio communication performance. Proposed minimum requirements of the radio communication improve more secure and efficient mobile communication based train control system.

• The Transactions of the Korea Information Processing Society
• /
• v.7 no.1
• /
• pp.74-87
• /
• 2000

PVM (parallel virtual machine) provides a programming environment that allows a collection of networked workstations to appear as a single parallel computational resource. The performance of parallel applications in this environment depends on the performance of data transfers between tasks. In this paper, we present a new Myrinet-based communication model of PVM that improves PVM communication performance over a high-speed Myrinet LAN. The proposed PVM communication model adopts a communication mechanism that allows any user-level process to directly access the network interface board without going through UDP/IP protocol stacks in the kernel. This mechanism provides faster data transfers between PVM tasks over the Myrinet since it avoids data copy overhead from kernel (user space) to user space (kernel) and reduces communication latency due to network protocol software layers. We implemented EPVM (Enhanced PVM), our updated version of the traditional PVM using UDP/IP, that is based on the proposed communication model over the Myrinet. Performance results show EPVM achieves communication speed-up of one to two over the traditional PVM.

• The KIPS Transactions:PartC
• /
• v.16C no.1
• /
• pp.1-12
• /
• 2009

Today, Digital Right Management (DRM) is used to protect copyrights of digital contents from illegal reproduction and redistribution. Unfortunately, current DRM systems are causing user's discomfort because of lack of mutual compatibility. In order to overcome this drawback, technologies for interoperability of heterogeneous DRM systems are developing. In this paper, we study the protection profile for conversion technologies of heterogeneous DRM systems, using the Common Criteria. Especially, this paper is written by reuse of the existing protection profile. Therefore, performance analysis reveals that efficiency of time and cost is significantly improved. This protection profile can be used by contents provider and administrator who manage user's copyrights to reference data for copyright protection.

• Journal of Digital Contents Society
• /
• v.19 no.1
• /
• pp.67-73
• /
• 2018

Researchers have increased their interest in effectively managing the disaster that appear in large scale and complex form. There are two types of disaster information, which are unstructured text data and structured data. Unstructured text data usually refers to text documents that have been referenced by disaster management personnel such as disaster manuals and related regulations, while structured data refers to various disaster information build in the disaster related organization system. This paper proposes a methodology of constructing a disaster information sharing system that enables joint use of disaster related organizations through the establishment of a mutual linkage system by utilizing both unstructured and structured form of disaster information. Especially, Based on the linkage information between structured earthquake information in earthquake related system and earthquake manuals and countermeasures against earthquake disaster, we propose a service that provides the necessary information for earthquake management. It is expected that the task manager will perform effective earthquake state management by acquiring the integrated structured and unstructured earthquake information of the ministries and related organizations.

• Journal of Convergence for Information Technology
• /
• v.10 no.8
• /
• pp.15-22
• /
• 2020

The 4th industrial revolution and the rapid change in the data environment revealed technical limitations in the existing relational database(RDB). As a new analysis method for unstructured data in all fields such as IDC/finance/insurance, interest in graph database(GDB) technology is increasing. The graph database is an efficient technique for expressing interlocked data and analyzing associations in a wide range of networks. This study extended the existing RDB to the GDB model and applied machine learning algorithms (pattern recognition, clustering, path distance, core extraction) to detect new abnormal signs. As a result of the performance analysis, it was confirmed that the performance of abnormal behavior(about 180 times or more) was greatly improved, and that it was possible to extract an abnormal symptom pattern after 5 steps that could not be analyzed by RDB.