• Convergence Security Journal
• /
• v.2 no.1
• /
• pp.17-33
• /
• 2002

The major goal of this study is to develop an index that can evaluate the quality of the appropriate network in a series of projections that analyze, design, and then build a network. The existing software engineering and/or the methods of developing a system are limited. The process of defining the requirements in building a network, designing the system, and building the network focuses on arranging the methods of building a network. Based upon this, we tried to develop a necessary index to evaluate the security of a network.

• Journal of Electrical Engineering and information Science
• /
• v.1 no.1
• /
• pp.108-117
• /
• 1996

In this paper, we propose a new type of recurrent neural network architecture in which each output unit is connected with itself and fully-connected with other output units and all hidden units. The proposed recurrent network differs from Jordan's and Elman's recurrent networks in view of functions and architectures because it was originally extended from the multilayer feedforward neural network for improving the discrimination and generalization power. We also prove the convergence property of learning algorithm of the proposed recurrent neural network and analyze the performance of the proposed recurrent neural network by performing recognition experiments with the totally unconstrained handwritten numeral database of Concordia University of Canada. Experimental results confirmed that the proposed recurrent neural network improves the discrimination and generalization power in recognizing spatial patterns.

• Convergence Security Journal
• /
• v.16 no.6_2
• /
• pp.99-107
• /
• 2016

The purpose of this study is to analyse motor vehicle communication network hacking attacks and to provide its prevention. First, the definition of motor vehicle communication network was provided and types of in-vehicle communication network were discussed. Also, bluetooth hacking attack cases were analysed in order to illustrate dangers of hacking attacks. Based on the analysis, two preventive measures were provided. First, Motor Vehicle Safety Standard Law should be revised. Although the law provides the definition of electronic control system and its standards as well as manufacturing and maintenance for safe driving standards, the law does not have standards for electronic control system hacking prevention and defensive security programs or firmware. Second, to protect motor vehicle communication network, it is necessary to create new laws for motor vehicle communication network protection.

• The KIPS Transactions:PartC
• /
• v.12C no.6 s.102
• /
• pp.809-816
• /
• 2005

MANET(mobile ad hoc network) cn be one of the access networks of BcN(broadband convergence network), and an user node requires address auto-configuration protocol for mu14i-hop environment. Some address auto-configuration protocols are proposed for independent MANET, but they don't consider BcN-accessable MANET environment. In this paper, new address auto-configuration protocol for wireless nodes is proposed. With this proposal, they ran configure their global addresses automatically in hybrid MANETs as BcN access networks. The autoconfiguration protocol modifies IPv6 NDP(neighbor discovery protocol) messages to deliver global prefix information to all wireless nodes, and avoids message boradcasting to minimize network overhead.

• 한국정보통신설비학회:학술대회논문집
• /
• 2005.08a
• /
• pp.313-317
• /
• 2005

The network ingress filtering is a simple and efficient method for preventing IP source spoofing of fixed nodes. Since mobile hosts cannot communicate with its correspondent nodes if the network ingress filtering is configured in mobile IPv4 network, reverse tunneling was considered as a method for avoiding network ingress filtering. But, unfortunately this method does not solve IP source spoofing of mobile nodes. In this paper, we propose a simple and efficient method for preventing IP source spoofing of mobile nodes assuming that only the mobile hosts connected to foreign agents and the network that foreign agent manages is small.

• Journal of the Korea Convergence Society
• /
• v.9 no.12
• /
• pp.17-24
• /
• 2018

This study attempted to analyze technology convergence structure and key technology research sectors in bio-health. For this, network analysis was performed based on the patent outcomes achieved through national R&Ds. Then, a patent network was analyzed to derive problems and collect data from the National Science & Technology Information Service. With the five groups obtained through the analysis of IPC network and national R&D patents in bio-health based on a research frame network, topics were chosen based on the bio-healthcare technology system. Then, the technology with the greatest ripple effects was derived and compared to other sectors, suggesting a direction for national R&D investments. It is anticipated that this study would make a contribution to a search for R&D investment direction by additionally analyzing overseas patent data and improving correlation analysis between technology convergence and government-led R&D expenses.

• Journal of the Korea Convergence Society
• /
• v.6 no.2
• /
• pp.31-36
• /
• 2015

This paper was studied in export policy Revitalization of SMEs mainly in various countries of Indochina, especially in Laos, which is emerging as a new market after China. Laos is a socialist country, but in 2014, led by the current active open-door policy, education, social, cultural and people-to-people exchanges are going briskly, light industry and the expansion of social infrastructure such as laying the foundation for economic development. This paper presents a plan to dominate the emerging frontier markets are public enterprises and government agencies that do not respond quickly. Already pioneered by building a network in local development staff for this purpose, such as volunteers, missionaries, professors and configure the network of exploitation and human development personnel look for Revitalization of SMEs in urban and regional growth.

• The Journal of Information Systems
• /
• v.31 no.2
• /
• pp.19-43
• /
• 2022

Purpose Due to the COVID-19 pandemic, many companies are building virtual workplaces based on virtual reality technology. Through this study, we intend to identify the trend of convergence and convergence research between virtual reality technology and work space, and suggest future promising fields based on this. Design/methodology/approach For this purpose, 12,250 bibliographic data of research papers related to Virtual Reality (VR) and Workplace were collected from Scopus from 1982 to 2021. The bibliographic data of the collected papers were analyzed using Text Mining and Pathfinder Network, Parallel Neighbor Clustering, Nearest Neighbor Centrality, and Triangle Betweenness Centrality. Through this, the relationship between keywords by period was identified, and network analysis and visualization work were performed for virtual reality-based workplace research. Findings Through this study, it is expected that the main keyword knowledge structure flow of virtual reality-based workplace convergence research can be identified, and the relationship between keywords can be identified to provide a major measure for designing directions in subsequent studies.

• International journal of advanced smart convergence
• /
• v.11 no.2
• /
• pp.95-101
• /
• 2022

The development of the 4th industry has increased social media, and the rise of COVID-19 has stimulated non-face-to-face services. People's consumption patterns are also changing a lot due to non-face-to-face services. In this paper, food content keywords are derived through social network-based semantic network analysis, emotions are analyzed, and keywords applied to food recommendation platforms are input. We collected food, influencer, and corona keyword analysis data through Textom. A lot of research has been done through online reviews of existing influencer content. However, there is a lack of research on keyword sentiment analysis provided by influencers rather than consumers and research perspectives. This paper uploads language and topics derived through online reviews of existing publications and subscribers, and goes beyond the limits used in marketing methods. By analyzing keywords that influencers suggest when uploading content, you can apply data that applies them to food recommendation platforms and applications.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2023.11a
• /
• pp.528-529
• /
• 2023

Due to vast points and irregular structure, labeling full points in large-scale point clouds is highly tedious and time-consuming. To resolve this issue, we propose a novel point-based transformer network in weakly-supervised semantic segmentation, which only needs 0.1% point annotations. Our network introduces general local features, representing global factors from different neighborhoods based on their order positions. Then, we share query point weights to local features through point attention to reinforce impacts, which are essential in determining sparse point labels. Geometric encoding is introduced to balance query point impact and remind point position during training. As a result, one point in specific local areas can obtain global features from corresponding ones in other neighborhoods and reinforce from its query points. Experimental results on benchmark large-scale point clouds demonstrate our proposed network's state-of-the-art performance.