• ETRI Journal
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• v.30 no.1
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• pp.68-80
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• 2008

Since many efficient algorithms for implementing pairings have been proposed such as ${\eta}_T$ pairing and the Ate pairing, pairings could be used in constraint devices such as smart cards. However, the secure implementation of pairings has not been thoroughly investigated. In this paper, we investigate the security of ${\eta}_T$ pairing over binary fields in the context of side-channel attacks. We propose efficient and secure ${\eta}_T$ pairing algorithms using randomized projective coordinate systems for computing the pairing.

• 제어로봇시스템학회:학술대회논문집
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• 1996.10b
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• pp.1332-1335
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• 1996

It is very important to predict the future position for the heavy vehicle with evasive maneuvering. In this paper, we considered for the manual image tracking system. The vehicle images are received from gyro stabilized mirror system, pass through the optical lens, processed, and displayed on the TV monitor. The operator try to lay the reticle to the center of vehicle image. When the vehicle is moving, the mirror platform (actually the line of sight) should follow the vehicle and the angular rate information is picked up from the mirror stabilized system. This rate signal should be used to predict the future vehicle position. The problem is that the visual system of the human operator is in the closed loop system. The rate signals are disturbed by the operator. In addition, there are some non linearities concerned with the control handle bar and the servo control system. The proposed Kalman filter, combined with some modifications for operator disturbance rejection, improved the predication of the future vehicle position when compared with the conventional passive filter used.

• Journal of Multimedia Information System
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• v.8 no.3
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• pp.183-190
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• 2021

In this paper, we implement a system for a fund recommendation based on the investment propensity and for a future fund price prediction. The investment propensity is classified by scoring user responses to series of questions. The proposed system recommends the funds with a suitable risk rating to the investment propensity of the user. The future fund prices are predicted by Prophet model which is one of the machine learning methods for time series data prediction. Prophet model predicts future fund prices by learning the parameters related to trend changes. The prediction by Prophet model is simple and fast because the temporal dependency for predicting the time-series data can be removed. We implement web pages for the fund recommendation and for the future fund price prediction.

• MALSORI
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• no.46
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• pp.175-185
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• 2003

To support speech information technology industry it is vital to create and distribute standardized speech corpora to be used for the development of products and technologies. In this article we introduce speech corpora created by Speech Information Technology & Industry Promotion Center(SiTEC) during its 1st and 2nd fiscal years (2001/5/1-2003/4/30) and plans for those corpora which is being created currently or will be created in near future. We introduce the corpus for car application to expand speech information technology to the field of traditional industry, the corpora for foreign languages to support exportation, the corpus for basic research for the sake of application in the industry, the corpora for common use, and others.

• Journal of Information Processing Systems
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• v.15 no.6
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• pp.1259-1264
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• 2019

Nowadays, cloud computing and big data analytics are at the center of many industries' concerns to take advantage of the potential benefits of building future smart cities. The integration of cloud computing and big data analytics is the main reason for massive adoption in many organizations, avoiding the potential complexities of on-premise big data systems. With these two technologies, the manufacturing industry, healthcare system, education, academe, etc. are developing rapidly, and they will offer various benefits to expand their domains. In this issue, we present a summary of 18 high-quality accepted articles following a rigorous review process in the field of cloud computing and big data analytics.

• Proceedings of the National Institute of Ecology of the Republic of Korea
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• v.2 no.4
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• pp.247-258
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• 2021

To understand restoration and conservation projects conducted in Korea for endangered freshwater fishes and amphibians/reptiles, information about Request for Protocols-related studies on restoration, breeding, and release were collected. Trends of studies were visualized via word clouds and VOSviewer program using a text mining technique. Analysis of restoration projects for endangered freshwater fishes elucidated that most research studies conducted to date were focused on genetics and release through captive breeding that could be classified into captive breeding and habitat environments. As for research projects related to amphibians/reptiles, monitoring projects had the highest number, followed by genetic, translocation, and monitoring studies. In addition, restoration projects for amphibians/reptiles included a large number of post-capture translocation projects. Thus, many projects were confirmed by public institutions rather than by the Ministry of Environment. Network analysis revealed that it was largely classified into capture, translocation, and Kaloula borealis. Based on these results, limitations, achievements, and challenges associated with projects conducted thus far are highlighted. Research directions for future restoration and conservation of endangered freshwater fishes and amphibians/reptiles in South Korea are also suggested.

• Food Science and Industry
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• v.50 no.3
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• pp.39-50
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• 2017

In order to secure competitiveness of the home meal replacement (HMR) industry from a long-term perspective, development of packaging and processing technologies must be achieved. The development of technology that can secure freshness, nutrition, and taste but secures the shelf life is the key to the future growth of HMR. The future of HMR can be considered in terms of nutrition, environment and safety. From the nutritional point of view, it is expected that development of healthy HMR such as low-salt, low-sugar, low-fat, and high fiber and premium HMR with functional ingredient enhanced, and personalized HMR for silver, infant and patients will be done. And it is expected that development of HMR utilizing environmentally friendly food or local food, development of energy reduction and environmentally friendly disinfection technology, development of environmentally friendly packaging material, and providing information on HMR preparation using QR code and RFID from the environmental and safe point of view.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.6
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• pp.3071-3085
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• 2017

Currently, various technological models and services are emerging because of the development of information and communication technology and the convergence of industries. The ICT car field is expanding because of technological convergence in the automobile industry. However, ICT convergence services are still being developed based solely on technology; characterization of users and their needs is lacking. Therefore, two types of ICT car services that apply human-centered design processes are developed in this study. These processes create services and models while considering the quality and functions of products based on users (instead of technology) when developing products or services. Usability evaluation was performed on the developed services; a human-centered design process was applied to the results to confirm that the derived services resulted in high satisfaction. In the future, these research results will provide useful applications when developing ICT car services and strategies.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.8
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• pp.2736-2750
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• 2022

As demands for the maritime communications increase, a variety of functions and information are required to exchange via elements of maritime systems, which leads communication traffic increases in maritime frequency bands, especially in VHF (Very High Frequency) band. Thus, effective resource management is crucial to the future maritime communication systems not only to the typical terrestrial communication systems. VHF data exchange system (VDES) enables to utilize more flexible configuration according to the communication condition. This paper focuses on the VDES communication system among VDES terminals such as shore stations, ship stations and aids to navigation (AtoN) to address efficient resource allocation. We propose a resource management method considering a MIMO (Multiple Input Multiple Output) technique in VDES, which has been widely used for modern terrestrial wireless networks but not for marine environments by scheduling the essential communication resources. We introduce the general channel model in marine environment and give two metrics, spectral and the energy efficiencies to examine our resource scheduling algorithm. Based on the simulation results and analysis, the proposed method provides a possibility to enhance spectral and energy efficiencies. Additionally, we present a trade-off relationship between spectral and energy efficiencies. Furthermore, we examine the resource efficiencies related to the imperfect channel estimation.

• Journal of Oriental Neuropsychiatry
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• v.23 no.2
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• pp.13-32
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• 2012

Objectives : The purpose of this study was to obtain some knowledge concerning the scalp acupuncture treatment on patients with dementia for the future practice and research from clinical studies in China. Methods : The literatures were searched using the data base-China Academic Journals(CAJ) (2001-2011). Results : We found out 1 case study, and 17 randomized controlled trials(RCT) which met the inclusion criteria in most studies. There were 3 types of scalp acupuncture-applying method, cho-si scalp acupuncture(焦氏頭鍼法), combination of using ordinary acupoints(正經鍼) and extraordinary acupoints(經外寄穴), standard method of scalp acupuncture(標準頭鍼法). The often used acupoints are Yundongqu(運動區), Ganjuequ(感覺區), Yuntingqu(暈聽區), Zuyunganqu(足運感區), Sishencong (HN23), Baihui(GV20), Shenting(GV24), Fengchi(GB20), Dingnieqianxiexian(MS6), and Dingniehouxiexian(MS7). Conclusions : There were significant improvements on the scalp acupuncture-treated groups, compared to the control groups(western medication group or other acupuncture treatment group). Results of this study could be used for future studies concerning the scalp acupuncture for dementia.