• 정보교육학회논문지
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• 제21권5호
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• pp.567-581
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• 2017

본 연구는 미래교육의 변화를 주도할 것으로 예측된 신기술 및 트렌드가 국내 교육현장에 활용될 수 있는 촉진 요인과 방해요인은 무엇인지를 분석하고자 하였다. 이를 위해 문헌 분석을 통해 도출된 20개 신기술 트렌드에 대하여, 총 24명의 연구, 정책, 학교 및 기업현장 전문가들을 대상으로 촉진요인과 방해요인에 대한 개방형 온라인 설문 조사를 통해 수집된 질적 자료에 대한 내용 분석을 실시하였다. 연구 결과, 콘텐츠의 효과성과 기술의 성숙도가 가장 주요한 촉진요인이자 방해요인이 될 수 있는 것으로 나타났으며, 교수학습방법에서의 혁신적이고 다양한 교수 학습 방법 및 학습동기를 촉진할 수 있는 가능성, 기술의 성숙도를 비롯한 기술의 대중화와 보편성 확대가 주요한 촉진요인으로 드러났다. 반면, 윤리적 측면에서의 부작용이나 개인정보 보호, 제도적 측면에서의 낮은 부합성이나 불충분한 검증, 교육 환경 측면에서의 네트워크 및 인프라 환경 미비 등이 주요한 신기술 및 트렌드의 저해요인으로 밝혀졌다.

• International journal of advanced smart convergence
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• 제13권2호
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• pp.69-79
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• 2024

AI technology is a central focus of the 4th Industrial Revolution. However, compared to some existing non-artificial intelligence technologies, new AI adversarial attacks have become possible in learning data management, input data management, and other areas. These attacks, which exploit weaknesses in AI encryption technology, are not only emerging as social issues but are also expected to have a significant negative impact on existing IT and convergence industries. This paper examines various cases of AI adversarial attacks developed recently, categorizes them into five groups, and provides a foundational document for developing security guidelines to verify their safety. The findings of this study confirm AI adversarial attacks that can be applied to various types of cryptographic modules (such as hardware cryptographic modules, software cryptographic modules, firmware cryptographic modules, hybrid software cryptographic modules, hybrid firmware cryptographic modules, etc.) incorporating AI technology. The aim is to offer a foundational document for the development of standardized protocols, believed to play a crucial role in rejuvenating the information security industry in the future.

• 한국콘텐츠학회:학술대회논문집
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• 한국콘텐츠학회 2014년도 춘계 종합학술대회 논문집
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• pp.193-194
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• 2014

This paper provides the market opportunity analysis process and technology providing matching process based on the efficient quantitative analysis of a large amount of papers and network analysis. In the future, it is required to analyze and complement the quantitative analysis result by commercialization experts and to build emerging issue database.

• Journal of Electrochemical Science and Technology
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• 제7권2호
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• pp.115-131
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• 2016

Though battery chemistry and technology had been developed for over a hundred years back, increase in demand for storage energy, in the computer accessories, cell phones, automobile industries for future battery car and uninterrupted power supply, has made, the development of existing and new battery, as an emerging areas of research. With innovation of high energetic inexpensive Nano structure materials, a more energy efficient battery with lower cost can be competitive with the present primary and rechargeable batteries. Materials electrochemistry of electrode materials, their synthesis and testing have been explained in the present paper to find new high efficient battery materials. The paper discusses fundamental of electrochemistry in finding true cell potential, overvoltages, current, specific energy of various combinations of anode-cathode system. It also describes of finding the performance of new electrode materials by various experiments viz. i. Cyclic Voltammetry ii. Chronoamperometry iii. Potentiodynamic Polarization iv. Electrochemical Impedance Spectroscopy (EIS). Research works of different battery materials scientists are discussed for the development of existing battery materials and new nano materials for high energetic electrodes. Problems and prospects of a few promising future batteries are explained.

• 전자통신동향분석
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• 제39권2호
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• pp.93-102
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• 2024

As the scale of research and development (R&D) increases, countries and companies are consistently establishing R&D directions to meet strategic goals and market demands as well as roadmaps to increase efficiency through concentration and selection. However, establishing an effective roadmap and discovering promising technologies are challenging under the current numerous technological possibilities and uncertainties. The importance of discovering promising technologies to secure future technological competitiveness is recognized worldwide, and Europe, the United States, and Japan are establishing processes to identify promising future technologies and support related R&D. Methods for discovering promising future technologies can be classified into future social needs analysis, forecasting, surveys, use of expert opinions, and data analysis. We describe the types and limitations of technology roadmaps and investigate the status of domestic and foreign organizations using weak signal search through quantitative data analysis.

• International Journal of Computer Science & Network Security
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• 제22권2호
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• pp.153-158
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• 2022

The Internet of Things (IoT) has gotten a lot of research attention in recent years. IoT is seen as the internet's future. IoT will play a critical role in the future, transforming our lifestyles, standards, and business methods. In the following years, the use of IoT in various applications is likely to rise. In the world of information technology, cyber security is critical. In today's world, protecting data has become one of the most difficult tasks. Different type of emerging cyber threats such as malicious, network based and abuse of network have been identified in the IoT. These can be done by virus, Phishing, Spam and insider abuse. This paper focuses on emerging threats, various challenges and vulnerabilities which are faced by the cyber security in the field of IoT and its applications. It focuses on the methods, ethics, and trends that are reshaping the cyber security landscape. This paper also focuses on an attempt to classify various types of threats, by analyzing and characterizing the intruders and attacks facing towards the IoT devices and its services.

• 한국전자통신학회논문지
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• 제10권7호
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• pp.813-818
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• 2015

사물 인터넷(IoT)은 물리적 객체나 전자 제품, 소프트웨어, 센서 및 제조업체, 운영자 또는 연결된 다른 장치와 데이터를 교환하여 더 큰 가치와 서비스를 달성 할 수 있도록 연결된 사물 네트워크를 말한다. 지금까지 계량 정보 분석과 미래 유망영역 탐지에 대한 연구는 키워드를 중심으로 수행해왔다. 본 논문에서는 문헌에서 키워드 매핑에 대한 동태적 분석을 통하여 최근에 관심 영역인 사물 인터넷에 대한 미래 유망 영역을 탐지하는 방법을 제시한다.

• 한국IT서비스학회지
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• 제19권4호
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• pp.49-61
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• 2020

Prior studies on technology predictions attempted to predict the emergence and spread of emerging technologies through the analysis of correlations and changes between data using objective data such as patents and research papers. Most of the previous studies predicted future technologies only from the viewpoint of technology development. Therefore, this study intends to conduct technical forecasting from the perspective of the consumer by using keyword search frequency of search portals such as NAVER before and after the introduction of emerging technologies. In this study, we analyzed healthcare technologies into three types : measurement technology, platform technology, and remote service technology. And for the keyword analysis on the healthcare, we converted the classification of technology perspective into the keyword classification of consumer perspective. (Blood pressure and blood sugar, healthcare diagnosis, appointment and prescription, and remote diagnosis and prescription) Naver Trend is used to analyze keyword trends from a consumer perspective. We also used the ARIMA model as a technology prediction model. Analyzing the search frequency (Naver trend) over 44 months, the final ARIMA models that can predict three types of healthcare technology keyword trends were estimated as "ARIMA (1,2,1) (1,0,0)", "ARIMA (0,1,0) (1,0,0)", "ARIMA (1,1,0) (0,0,0)". In addition, it was confirmed that the values predicted by the time series prediction model and the actual values for 44 months were moving in almost similar patterns in all intervals. Therefore, we can confirm that this time series prediction model for healthcare technology is very suitable.

• 정보관리연구
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• 제38권4호
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• pp.1-21
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• 2007

특허 데이터는 기술적 속성과 시장 측면을 모두 보유하고 있어서, 독창성, 기술적 타당성 및 상업적 가치의 명시적인 기준을 충족시키고 있고, 실제로 장기간에 걸쳐 혁신의 모든 분야를 포괄하고 있으며, 특허당 인용횟수는 양적인 빈도뿐만 아니라 특허의 질적 중요성을 나타내준다. 본고에서는 특허 정보의 분석을 통한 계량정보학적인 접근방법을 적용함으로써 미래에 산업적으로 새롭게 발전할 가능성이 있는 부상기술을 도출하기 위한 분석모델과 방법론을 설정하고, 세계특허를 대상으로 적용함으로써 미래에 등장할 부상기술을 도출하고자 한다.

• Journal of Contemporary Eastern Asia
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• 제22권1호
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• pp.1-25
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• 2023

The aim of this study is to answer the straightforward question of whether the implementation of IC has fueled non-interest incomes of banks or not. By utilizing the data of 26 domestic banks in Vietnam and employing the value-added intellectual coefficient model (VAIC) as the measure of IC efficiency, our empirical evidence manifests that IC plays a vital role in fostering non-interest incomes of banks. When dividing VAIC into different components, we find that structure capital employed (SCE) is the most important component to enhance the expansion of these incomes compared with other components including capital employed efficiency (CEE), human capital efficiency (HCE). These findings remain unchanged through some robustness tests performed. While the main driver of IC and SCE, CEE component becomes a substantial advantage to increase non-interest incomes in large banks. Meanwhile, the degree of impact of SCE is higher in small banks compared with large ones. Overall, this study would provide a deep insight into the role of IC in the transformation into non-interest income activities of banks in an emerging country, and therefore our findings would be useful for both scholars and policy-makers in Vietnam, where has undergone the period of major reforms in banking system.