• Journal of information and communication convergence engineering
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• v.17 no.1
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• pp.8-13
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• 2019

Smart Farming has been regarded as an important application in information and communications technology (ICT) fields. Selecting crops for cultivation at the pre-production stage is critical for agricultural producers' final profits because over-production and under-production may result in uncountable losses, and it is necessary to predict crop production to prevent these losses. The ITU-T Recommendation for Smart Farming (Y.4450/Y.2238) defines plan/production consultation service at the pre-production stage; this type of service must trace crop production in a predictive way. Several research papers present that machine learning technology can be applied to predict crop production after related data are learned, but these technologies have little to do with standardized ICT services. This paper clarifies the relationship between agricultural consultation services and predicting crop production. A prediction scheme is proposed, and the results confirm the usability and superiority of machine learning for predicting crop production.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.3
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• pp.1373-1392
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• 2017

WiFi Direct (WD) is a state of the art technology for a Device-to-Device (D2D) communication in 802.11 networks. The performance of the WD system can be significantly affected by some key factors such as the type of application, specifications of MAC and PHY layer parameters, and surrounding environment etc. It is, therefore, important to develop a system model that takes these factors into account. In this paper, we focus on investigating the design parameters of the PHY layer that could maximize the efficiency of the WD 802.11 system. For this purpose, a basic theoretical model is formulated for a WD network under a 2x2 Multiple In Multiple Out (MIMO) TGn channel B model. The design level parameters such as input symbol rate and antenna spacing, as well as the effects of the environment, are thoroughly examined in terms of path gain, spectral density, outage probability and Packet Error Rate (PER). Thereafter, a novel adaptive algorithm is proposed to choose optimal parameters in accordance with the Quality of Experience (QoE) for a targeted application. The simulation results show that the proposed method outperforms the standard method thereby achieving an optimal performance in an adaptive manner.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.9
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• pp.2057-2065
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• 2014

New business The e-book industry is creating a convergence of ICT and printing culture. Even so, the system changes is not great in Korea. Global market players are going to creating a membership or community-type business model to take advantage of the terminal, platform, network, but the creative content production in Korea is limited. Since the discussion is limited to such devices or network services most, we suggest the possibility of modeling a multi-faceted. And the development of technology and services platform content is also important as a strategic approach to the development of the e-book industry. Most of all, we propose the application of content, technologies and services are developed.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.4
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• pp.171-176
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• 2022

CNN is a type of deep learning and is a neural network used to process images or image data. The filter traverses the image and extracts features of the image to distinguish the image. Deep learning has the characteristic that the more data, the better models can be made, and CNN uses a method of artificially increasing the amount of data by means of data augmentation such as rotation, zoom, shift, and flip to compensate for the weakness of less data. When learning CNN, we would like to check whether outline image learning is helpful in improving performance compared to conventional data augmentation techniques.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.64 no.7
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• pp.1130-1136
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• 2015

Most equipments which are used to measure the switching power of the turnout depend on imports. As the data is limited to the measurements of the switching power, it is said that the equipment is insufficient to check the errors of the turnout and the electrical point machine, and set up the data for operating and maintenance. We studied not only measurements of the switching power of all turnout being used in domestic but also the development of the turnout performance total analysis equipment which can measure switching time, voltage, and current etc. at the same time. Considering that switching power of the turnout is the most basic element to check the irregularities of the turnout, in this paper, we analyzed the irregularities of the turnout through correlation between switching power of the turnout, voltage, and current of the electrical point machine. Also we performed test in commercial railway line where the turnout of MJ81 type and NS type was installed. And it is said that the test results can be used as basic technologies for ICT based real-time diagnosis and monitoring of the turnout.

• Journal of Digital Convergence
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• v.17 no.3
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• pp.73-78
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• 2019

Recently, there is a need to introduce a Korean-style restriction sandbox system that exempts or suspends existing regulations so that new products or services based on new technologies can be commercialized without restrictions. In response, the government reorganized the relevant statutes to promptly check regulations centering on four fields, including industrial convergence, ICT, FinTech, and regional innovation growth, and to allow experimental, proof and market releases by setting certain conditions(zone, period, scale, etc.). However, despite the same regulatory sandbox application, depending on the nature of the field applied, differences in application subject, whether application of regulatory specifics, system of push ahead decision-making and whether support of financial and taxation are shown. This research is intended to present efficient operation measures for successful settling of Korean-style regulation sandboxes by comparing and analyzing, centering on the Industrial Fusion Promotion Act in the Industrial Convergence Field, ICT field's Information and Communication Convergence Act, FinTech field's Financial Innovation Act and Regional Special Zone Act in the Regional Innovation and Growth Sector.

• International journal of advanced smart convergence
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• v.7 no.4
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• pp.161-168
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• 2018

Recently, the bio-sensing information systems for collecting and analysing human body information of a patient in real time in the field of medical information and healthcare information service are continuously increasing. Specially, various wearable devices such as a wrist, a garment, and a skin attachment type for supporting health information of a mobile user are rapidly increasing. Until now, there is no patch-type biometric information service model. Therefore, this paper presents a biometric information system model and the application examples to support biometric information sensing and health information service of mobile user with digital patch system as a new biometric information system. As a result, through this research, research issues based on digital patch system are searched to suggest the direction of continuous research.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.1
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• pp.115-121
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• 2017

Times New RomanThe utilization of Information and Communication Technologies (ICT) in the smart grid application can construct efficient and reliable electrical grid. IEC 61850 was adopted as the standard for smart grid exchanging the information required in an electric power utility. However, applying technologies like IEC 61850 using Ethernet to the automation of small distribution substation directly may cost more than the value of the small distribution substation itself. IEEE 802.15.4 technology attracts attention in the field of power utility automation because of low installation cost and ease of installation. Studies are conducted, which use IEEE 802.15.4 in less strict D1 small distribution substation. This study applied IEEE 802.15.4 to the small distribution substation and conducted performance evaluation using the actual equipment. This study determined the scope of application of IEEE 802.15.4 by conducting a comparative analysis of the message type in IEC 61850.

• Journal of the Ergonomics Society of Korea
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• v.35 no.2
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• pp.97-109
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• 2016

Objective: The aim of this study is to identify the domestic and foreign laboratory safety management system and to suggest domestic laboratory safety management policy priority. Background: Various types of accidents are occurred in research laboratories according to a variety of laboratory safety risks. However, there are only lists of incidents without any precise accident analysis. Method: We analyzed statistically the survey on current status of laboratory safety management of universities, research institutes, and industrial research institutions carried out by Ministry of Science, ICT and Future Planning in Korea. We also investigated laboratory safety management systems and safety organization carried out mainly in overseas countries such as USA, Japan, Switzerland and France. In addition, we analyze the UCLA College laboratory explosion occurred in the US in 2010. Results: More than 75 percent of 2015 domestic laboratory accidents were occurred in the field of operation management and chemistry research. Also, approximately 55% of accidents took place due to careless use mechanical instruments & dangerous chemicals. In addition, common difficulties of lab safety act applicable organizations are overlapping and comprehensive application of legal requirements. Conclusion: There is a need for laboratory safety professional organizations. Also, the high frequency of use of hazardous substances in the high-risk, such as the chemical field must be strengthened the laboratory safety management. In addition, it is needed to minimize the problems of the research organizations through close cooperation between related ministries and government support policy such as professional development program. Application: The result of this analysis might help to present a differentiated safety management policy and advanced safety management system in laboratory.

• Journal of Platform Technology
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• v.8 no.1
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• pp.16-23
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• 2020

For protecting copyright for trademark, convolutional neural network can be used to confirm genuine of trademark image. For this, repeated training one trademark image degrades the performance of machine learning because of overfitting problem. Therefore, this type of machine learning application generates training data in various way. But if genuine trademark image is rotated, this image is classified as not genuine trademark. In this paper, we propose the way for extending training data to confirm genuine of trademark image which is rotated. Our proposed way generates rotated image from genuine trademark image as training data. To show effectiveness of our proposed way, we use CNN machine learning model, and evaluate the accuracy with test image. From evaluation result, our way can be used to generate training data for machine learning application which confirms genuine of rotated trademark image.