• Journal of the Korean Institute of Telematics and Electronics S
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• v.36S no.6
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• pp.67-75
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• 1999

The sensing and communication abilities of a mobile robot are essential to cooperative behavior in distributed autonomous robotic systems. In general, as the number of robot goes on increasing, the limitation of communication capacity and information overflow occur in global communication capacity and information overflow occur in global communication system. Therefore a local communication is more effective than global one. In this paper, we analyze information propagation mechanism based on local communication. To find an optimal communication radius, we propose three methods with different conditions. Also, to avoid chaotic behavior which occurs when a robot obtains and loses information, we find stable condition of information propagation.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.9 no.4
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• pp.733-738
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• 2005

The distress communication system in the maritime mobile service had almost depended on the wireless telephony or telegraphy technique. The GMDSS (Global Maritime Distress and Safety System) which was introduced in 1992 brought a lot of changes in the maritime distress communication service such as the automatic transmission of distress signals and implementation of global search and rescue networks. However, there are some deficiencies in the GMDSS distress communication system such as a lack of compatibility in the maritime distress communication between CMDSS ships and Non-GMDSS ships, increasing deceptive or false distress alerts generated by GMDSS installations, lack of understanding about the CMDSS installations for the operators. In this paper, the problems of distress communication system in the maritime mobile service are analyzed and the methods to solve or minimize these problems are suggested.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.1
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• pp.85-93
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• 2015

This research try to find how to construct On & Off Marketplace to activate exporting of broadcasting contents by Delphi survey. This research is based on environment of broadcasting contents such as OTT and reinforcement for broadcasting contents marketplace of foreign countries. This research find that global marketplace of broadcasting contents should be constructed by convergence of online and offline, and should adopt new technology to make easy global distribution in new broadcasting environment, and also open global festival with offline marketplace of broadcasting contents. korea will be asia hub for global distribution of broadcasting contents through this task.

• International Journal of Contents
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• v.13 no.1
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• pp.62-67
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• 2017

This study attempts to explain how communication technology impacts global creative trends. We explore global creative trends based on award-winning creative topics presented at the 2016 Cannes Lions International Festival of Creativity. After analyzing award-winning topics, five main creative trends were selected with the keywords: technology, story-telling, social media, causes, and humor. The 2016 Cannes Lions Festival demonstrated that technology (i.e., virtual reality, artificial intelligence) has expanded the limits of creativity. Story-telling is still considered to be effective for raising audience attention. Social media enhances consumer engagement while nurturing future consumer relationships. Supporting social causes allows companies to garner goodwill from the public. Humor is powerful when it appropriately appeals to both products and customers.

• Journal of Satellite, Information and Communications
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• v.2 no.2
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• pp.85-91
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• 2007

The satellite networks provide global coverage. The integration of terrestrial networks with a satellite network is the most attractive approach to develop a global communication system. The IP Multimedia Subsystem (IMS) is intended to be the system that will merge the internet with the telecom world. A user with a dual-mode terminal can access both the satellite network and terrestrial network. The seamless handoff between two networks and a user's QoS level is the major issue concerning this integration. In this paper, we propose IMS-based satellite/terrestrial integrated network architecture for a global communication system. Based on the proposed architecture, an inter-network handoff and end-to-end soft QoS procedure is discussed. Our proposed soft QoS scheme is also analyzed to calculate the number of rejected calls.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• v.9 no.1
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• pp.213-216
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• 2005

The distress communication system in the maritime mobile service had almost depended on the wireless telephony or telegraphy technique. The GMDSS (Global Maritime Distress and Safety System) which was introduced in 1992 brought a lot of changes in the maritime distress communication service such as the automatic transmission of distress signals and implementation of global search and rescue networks. However, there are some deficiencies in the GMDSS distress communication system such as a lack of compatibility in the maritime distress communication between GMDSS ships and Non-GMDSS ships, increasing deceptive or false distress alerts generated by GMDSS installations, lack of understanding about the GMDSS installations for the operators. In this paper, the problems of distress communication system in the maritime mobile service are analyzed and the methods to solve or minimize these problems are suggested.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.10
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• pp.3771-3788
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• 2015

This paper studies the distributed energy efficient resource management in the Internet of Things (IoT). Wireless communication networks support the IoT without limitation of distance and location, which significantly impels its development. We study the communication channel and energy management in the wireless communication network supported IoT to improve the ability of connection, communication, share and collaboration, by using the game theory and distributed learning algorithm. First, we formulate an energy efficient neighbor collaborative game model and prove that the proposed game is an exact potential game. Second, we design a distributed energy efficient channel selection learning algorithm to obtain the global optimum in a distributed manner. We prove that the proposed algorithm will asymptotically converge to the global optimum with geometric speed. Finally, we make the simulations to verify the theoretic analysis and the performance of proposed algorithm.

• International Journal of Contents
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• v.8 no.3
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• pp.64-70
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• 2012

The purpose of this paper is to give some crisis communication strategies for effective cooperation and coordination among the countries in global society. Based on the theoretical discussions, in this paper, five strategic recommendations toward improving crisis communication are offered as follows; First, it is necessary that a small, dynamic team for global crisis communication function be established among the nearby countries. Second, for understanding the neighboring country's crisis situation, it is needed that the common crisis communication organizations which play an important role of disseminating accurate information and giving the collaborative efforts in each country have to be made. Third, for effective crisis management, an appropriate infrastructure that includes open and effective communication channels among different levels and across organizations must be in place. Fourth, mass communication should fulfill a variety of functions in society and provide information, interpretation of events, and its influence, etc for cooperating and coordinating the crisis management. Fifth, to acquire a correct understanding of the bordering country's crisis and calamities, intercultural education program should be established in the crisis communication system.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.7A
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• pp.688-696
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• 2010

The Proxy Mobile IPv6 (PMIPv6) is a network localized mobility management protocol that is independent of global mobility management protocols. In a single mobility domain (LMD), the mobile node (MN) is not involved in any IP mobility-related signaling and uses only its PMIPv6 home address for all its communication. Subsequently, when the MN moves into another LMD, the MN must change its PMIPv6 home address. In such a circumstance, host-based mobility signaling is activated. Thus, the nature of the network-based mobility of the PMIPv6 cannot be retained. Additionally, if the MN does not support global mobility, it cannot maintain communication with its correspondent node (CN). In this paper, we propose a solution for global mobility support in PMIPv6 networks, called Global-PMIPv6 that allows current communication sessions of a MN without mobility protocol stacks to be maintained, even when the MN moves into another LMD. Thus, Global-PMIPv6 retains the advantages of the PMIPv6 for global mobility support. We then evaluate and compare network performance between our proposed solution and PMIPv6.

• International Journal of Advanced Culture Technology
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• v.11 no.4
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• pp.393-405
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• 2023

Accurate prediction of wind speed and power is vital for enhancing the efficiency of wind energy systems. Numerous solutions have been implemented to date, demonstrating their potential to improve forecasting. Among these, deep learning is perceived as a revolutionary approach in the field. However, despite their effectiveness, the noise present in the collected data remains a significant challenge. This noise has the potential to diminish the performance of these algorithms, leading to inaccurate predictions. In response to this, this study explores a novel feature engineering approach. This approach involves altering the data input shape in both Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) and Autoregressive models for various forecasting horizons. The results reveal substantial enhancements in model resilience against noise resulting from step increases in data. The approach could achieve an impressive 83% accuracy in predicting unseen data up to the 24th steps. Furthermore, this method consistently provides high accuracy for short, mid, and long-term forecasts, outperforming the performance of individual models. These findings pave the way for further research on noise reduction strategies at different forecasting horizons through shape-wise feature engineering.