• Journal of Digital Convergence
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• v.13 no.10
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• pp.287-293
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• 2015

This study proposed signal processing techniques and neural network with weighted fuzzy membership functions(NEWFM) to detect epileptic seizure from EEG signals. This study used wavelet transform(WT), sequential increment method, and phase space reconstruction(PSR) as signal processing techniques. In the first step of signal processing techniques, wavelet coefficients were extracted from EEG signals using the WT. In the second step, sequential increment method was used to extract peaks from the wavelet coefficients. In the third step, 3D diagram was produced from the extracted peaks using the PSR. The Euclidean distances and statistical methods were used to extract 16 features used as inputs for NEWFM. The proposed methodology shows that accuracy, specificity, and sensitivity are 97.5%, 100%, 95% with 16 features, respectively.

• Journal of Digital Convergence
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• v.13 no.10
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• pp.327-335
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• 2015

Wireless mesh networks for public safety and disaster have been developing in a direction from TETRA(TErrestrial Trunked RAdio) to take advantage of the Public Safety-LTE(Long Term Evolution) technology. In Korea, the Disaster Safety Network Building Project has been promoted in order to unify disaster communication systems among disaster response agencies. In this study, the trends of the network construction for national disaster communication and corresponding representative cases of overseas have been analyzed. Through this process, the disaster communication area in line with the purpose of communications. As a result, the disaster communication can be divided into five distinctive areas: the control, the response, the on-site, the victim and the alarm communications. Based on the re-designed communication areas, quality requirements have also been re-organized in this study. Ultimately the construction method for the Disaster Communication systems without exclusion zone will be presented.

• International Commerce and Information Review
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• v.12 no.1
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• pp.3-33
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• 2010

Paperless trade is a new trade paradigm that has innovated on traditional trade procedures, which relied on manual work in the past, and applied an IT-based e-document standard. To realize paperless trade in Korea, a lot of efforts have been made. Korea has overcome many difficulties, a lack of awareness, trials and errors, etc. at the initial introduction stage and strived to establish a stable infrastructure through the government's policy support and active cooperation with the trade business communities and related organizations. Now, Korea became a well-known leader in IT industry, especially in the paperless trade infrastructure and strategic policies. The one-stop trading system named 'uTradeHub' is operated by a paperless trade service provider, Korea Trade Network(KTNET). uTradeHub includes trade finance and settlement, customs clearance and export and import logistics, improving trading procedures and reducing related expenses. Private-Public joint efforts from Korean government and private sectors which have respectively fulfilled their role and function with market-oriented practical policies and strategies has lead Korea a world leading country in paperless trade. Moreover, Korea expended its efforts to the global areas. Korea has started to activate multi-national paperless trade alliances such as PAA(Pan-Asia e-Commerce Alliance), ASEAL(Asia Europe Alliance for Paperless Trading) as well as established the bilateral cooperative networks with China and Taiwan. The one-stop trading system, uTradeHub should keep close cooperations between nations since trade itself is implemented in a cross-border ways. In the near future, it is expected uTradeHub can achieve best results in the simplification of procedures and cost savings when an international linkage is completely established with international cooperations.

• Journal of Korean Society for Atmospheric Environment
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• v.18 no.E1
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• pp.21-28
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• 2002

Air quality issues in Korea rapidly changed at the beginning of the 1990s from primary to secondary pollutants starting in Seoul, the capital of Korea. The present frame of national air pollution monitoring networks was established between the end of the 1980s and the beginning of the 1990s. Background monitoring was initiated in the middle of the 1990s in response to increasing public concern about the long-range transport of air pollutants. Apart from the national monitoring, both routine and intensive measurements of fine particles have been made for research purposes since the middle of the 1990s at several background sites. However, air pollution monitoring in urban areas for other purposes was relatively scarce as national monitoring has been concentrated in these areas. Although ozone pollution has become a significant issue in major metropolitan areas every summer, only a little information on ozone precursors is available. During the past few years, the number of national monitoring stations has greatly increased. The government has a plan to gradually expand monitoring items as well as stations. It is anticipated that highly detailed information on both photochemical reactants and products will be available within the next several years. More emphasis will be placed on toxic substances based on risk assessment in monitoring for both research and policy making.

• Journal of KIISE:Information Networking
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• v.27 no.1
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• pp.76-87
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• 2000

ATM is a key technology of integration of multimedia service. Recently, Many study have been concentrated on performance testing for evaluation network performance are stronger everyday. The performance testing is on evaluation of maximal throughput of network by measuring and analyzing of various performance parameters. There are two ways to test ATM network performance; one is using QoS in cell level on the point of network's view, and the other is using metric in frame level in the point of user's view. And, the standardization process is also under way. In this paper, we derive a performance requirement of TCP in TCP/IP data transmission over ATM UBR service. By applying the derived requirements to ATM and packet networks, we evaluate the performance of TCP over UBR based on the result of our simulations. Therefore, we evaluate the result of simulation and find degradation of network throughput by interaction between TCP congestion control and ATM cell drop policy. So we suggest the accelerated Vegas that modify traditional TCP Vegas in congestion control mechanism for batter network throughput.

• Journal of the Economic Geographical Society of Korea
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• v.9 no.1
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• pp.81-96
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• 2006

The Lorraine region of France is one of the regions in the core of Europe that suffered most from the decline of its traditional industries. Since the 1970s, various levels of governments have attempted to solve the economic and social problems originating from de-industrialization with policies of regional innovation, e.g., establishing technopole, the creation of the technology transfer network, the launch of the RTP project, and business incubators to promote start-ups, technology transfers, and networks between governments, businesses, universities, public research institutes, and the public. In this context, this paper attempts to analyse governance of regional innovation policies of the Lorraine region, based on an analytical framework developed by a groups of researchers, i.e.. Bae et at (2006). The paper concludes that the roles of governments are important in creating and implementing regional innovation policies of the Lorraine region; the policies heavily rely on the R&D capacity of universities and public research institutes; and various levels of governments have different roles to play.

• Journal of Digital Convergence
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• v.15 no.8
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• pp.203-212
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• 2017

The National Housing Bond Information Relay System is a representative financial information relay system in which institutions are connected with center system. A centralized structure is expensive to construct and operate center, and there is a problem that all networks are disconnected when a failure occurs in the center system. In this paper, we propose the national housing bond information relay system model based on Blockchain technology that can process information safely and efficiently. The proposed model constructs a Blockchain network so that each institution that processes the national housing bond information can transmit information safely, and each institution manages the same distributed ledge by a smart contract. The proposed model can reduce the cost because it can process complicated national housing bond transaction information without a relay center, and a network usage and disk usage decreased by 1.7% and 8.53%.

• Informatization Policy
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• v.18 no.4
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• pp.3-21
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• 2011

Knowledge ecosystem means a dynamic knowledge circulation, including knowledge creation, exchange and sharing and utilization. It is also the field of knowledge practice, which creates interactions in knowledge exchange between people and groups. The key premises of knowledge ecosystem, based on the nature of general ecosystems, can be characterized as follows: first, it primarily focuses on social networks between people and organizations participating in the process of knowledge circulation; secondly, knowledge ecosystem thrives on diversity of knowledge; and thirdly, it is significant for selection of valuable knowledge and adoption of appropriate knowledge. This review attempts to make a systematic examination of a wide range of existing studies on knowledge ecosystem. In so doing, it is expected to provide a basis for further inquiry into more critical and complicated issues. Although the scarcity of existing research-at least those in Korea-may limit the implications of findings, this review offers a set of suggestions for future research.

• Journal of Digital Convergence
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• v.14 no.4
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• pp.277-283
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• 2016

This study proposed new methods to classify normal and epileptic seizure signals from EEG signals using peaks extracted by wavelet transform(WT) and Hilbert transform(HT) based on a neural network with weighted fuzzy membership functions(NEWFM). This study has the following three steps for extracting inputs for NEWFM. In the first step, the WT was used to remove noise from EEG signals. In the second step, the HT was used to extract peaks from the wavelet coefficients. We also selected the peaks bigger than the average of peaks to extract big peaks. In the third step, statistical methods were used to extract 16 features used as inputs for NEWFM from peaks. The proposed methodology shows that accuracy, specificity, and sensitivity are 99.25%, 99.4%, 99% with 16 features, respectively. Improvement in feature selection method in view to enhancing the accuracy is planned as the future work for selecting good features from 16 features.

• Journal of Digital Convergence
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• v.16 no.10
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• pp.205-212
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• 2018

With the development of high performance CPU / GPU, artificial intelligence algorithms such as deep neural networks, and a large amount of data, machine learning has been extended to various applications. In particular, a large amount of data collected from the Internet of Things, social network services, web pages, and public data is accelerating the use of machine learning. Learning data sets for machine learning exist in various formats according to application fields and data types, and thus it is difficult to effectively process data and apply them to machine learning. Therefore, this paper studied a method for building a learning data set for machine learning in accordance with standardized procedures. This paper first analyzes the requirement of learning data set according to problem types and data types. Based on the analysis, this paper presents the reference model to build learning data set for machine learning applications. This paper presents the target standardization organization and a standard development strategy for building learning data set.