• Title/Summary/Keyword: ICT Technology

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The Analysis of Efficient Disk Buffer Management Policies to Develop Undesignated Cultural Heritage Management and Real-time Theft Chase (실시간 비지정 문화재 관리 및 도난 추적 시스템 개발을 위한 효율적인 디스크 버퍼 관리 정책 분석)

  • Jun-Hyeong Choi;Sang-Ho Hwang;SeungMan Chun
    • The Journal of the Korea institute of electronic communication sciences
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    • v.18 no.6
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    • pp.1299-1306
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    • 2023
  • In this paper, we present a system for undesignated cultural heritage management and real-time theft chase, which uses flash-based large-capacity storage. The proposed system is composed of 3 parts, such as a cultural management device, a flash-based server, and a monitoring service for managing cultural heritages and chasing thefts using IoT technologies. However flash-based storage needs methods to overcome the limited lifespan. Therefore, in this paper, we present a system, which uses the disk buffer in flash-based storage to overcome the disadvantage, and evaluate the system performance in various environments. In our experiments, LRU policy shows the number of direct writes in the flash-based storage by 10.7% on average compared with CLOCK and FCFS.

A Study on the Impact of Speech Data Quality on Speech Recognition Models

  • Yeong-Jin Kim;Hyun-Jong Cha;Ah Reum Kang
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.1
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    • pp.41-49
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    • 2024
  • Speech recognition technology is continuously advancing and widely used in various fields. In this study, we aimed to investigate the impact of speech data quality on speech recognition models by dividing the dataset into the entire dataset and the top 70% based on Signal-to-Noise Ratio (SNR). Utilizing Seamless M4T and Google Cloud Speech-to-Text, we examined the text transformation results for each model and evaluated them using the Levenshtein Distance. Experimental results revealed that Seamless M4T scored 13.6 in models using data with high SNR, which is lower than the score of 16.6 for the entire dataset. However, Google Cloud Speech-to-Text scored 8.3 on the entire dataset, indicating lower performance than data with high SNR. This suggests that using data with high SNR during the training of a new speech recognition model can have an impact, and Levenshtein Distance can serve as a metric for evaluating speech recognition models.

Creative Education Program of Astronomical Instrument Design and Observation: Development of the Small Spectrograph (창의 천문기기 개발 및 관측 교육 프로그램: 소형 분광기 개발)

  • Heesu Yang;Jong-Kyun Chung
    • Journal of Space Technology and Applications
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    • v.4 no.2
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    • pp.105-120
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    • 2024
  • The abilities of system engineering and project management (PM) are essential in the development of large instrumentations in modern astronomy. We propose a novel undergraduate educational program that allows students to gain experience in system engineering and PM by making a practical small spectrograph along with its test observation. A pilot program titled "Creative Astronomical Instrument Development and Observation" was conducted in Chungnam National University, as a part of the Space Expert Training Program of Ministry of Science and ICT during the Fall semester of 2023. After five teams were organized from 24 participating students, each team manufactured a spectrograph and observed spectra of the Sun, Moon, or planets with it. The development process was guided by several reviews, and students were evaluated based on the outcomes of their development processes and documentation. Through this program, students acquired fundamental principles of systems engineering and PM, as well as optical and mechanical engineering skills.

A Comparative Analysis Study of Relevant Statistics for Understanding the Structure of the Software(SW) Industry (소프트웨어(SW)산업구조 이해를 위한 유관 통계 간 비교분석 연구)

  • Mu Yi Choi
    • Journal of Information Technology Services
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    • v.23 no.3
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    • pp.55-63
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    • 2024
  • To grasp the structure of an industry and monitor its changes, it is essential to utilize relevant statistics. Various statistics are being compiled regarding the software (SW) industry, presenting diverse numerical values. However, without a precise understanding of the scope and measurement methods inherent to each statistic, gaining a rigorous understanding of the industry's structure and evolving trends becomes challenging. Moreover, significant discrepancies between similar statistics often lead to confusion among users. In the software (SW) industry, key statistics commonly used include SW production value and SW market size. As of 2022, the annual domestic SW production value is reported as 77.4 trillion KRW (based on ICT Survey), while the SW market size for the same year is stated as 38.5 trillion KRW (according to IDC data). Although production value and market size may seem conceptually similar, there is approximately a twofold difference between the figures provided. Without understanding the meanings of each statistic and the differences between them, there are limitations in utilizing these statistics effectively. While statistics are utilized for various purposes such as policy development or causal analysis of policy using statistical raw data, research that presents and analyzes the precise meanings and limitations of each SW-related statistic is virtually non-existent. Thus, this study aims to compare and analyze the methodologies and differences among key statistics used to represent the SW industry: SW production value, SW market size, and SW GDP statistics. Through this analysis, the goal is to contribute to a better understanding of the SW industry's structure and enable more accurate and rigorous utilization of relevant statistics.

Efficient Resource Allocation for Energy Saving with Reinforcement Learning in Industrial IoT Network

  • Dongyeong Seo;Kwansoo Jung;Sangdae Kim
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.9
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    • pp.169-177
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    • 2024
  • Industrial Wireless Sensor Network (IWSN) is a key feature of Industrial IoT that enables industrial automation through process monitoring and control by connecting industrial equipment such as sensors, robots, and machines wirelessly, and must support the strict requirements of modern industrial environments such as real-time, reliability, and energy efficiency. To achieve these goals, IWSN uses reliable communication methods such as multipath routing, fixed redundant resource allocation, and non-contention-based scheduling. However, the issue of wasting redundant resources that are not utilized for communication degrades not only the efficiency of limited radio resources but also the energy efficiency. In this paper, we propose a scheme that utilizes reinforcement learning in communication scheduling to periodically identify unused wireless resources and reallocate them to save energy consumption of the entire industrial network. The experimental performance evaluation shows that the proposed approach achieves about 30% improvement of resource efficiency in scheduling compared to the existing method while supporting high reliability. In addition, the energy efficiency and latency are improbed by more than 21% and 38%, respectively, by reducing unnecessary communication.

A Literature Review of Mobile Activities in Teaching and Learning Science: With Regard to Support for Learners' Agency (과학 교수학습 모바일 활동에 대한 국내 문헌 분석 -학습자 주체성 지원에 관하여-)

  • Kim, Hyojoon;Song, Jinwoong
    • Journal of The Korean Association For Science Education
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    • v.40 no.5
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    • pp.451-462
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    • 2020
  • According to the online learning environment, learning activities using mobile technology have emerged as a major concern. The features of mobile technology show potential supporting the emergence of learners' agencies in science education. In this study, 22 research literature on mobile activities in science teaching and learning published in Korea from 2011 to April 2020 were selected. First, the framework of Suarez et al. (2018) was revised and the types of mobile activities were categorized and investigated. Second, the emergence of agencies was examined in the context of science teaching and learning. And also, the relevance of mobile activity types ('Access to content', 'Data collection', 'Peer-to-peer communication', 'Contextual support') to support learners' agency dimension ('goals', 'content', 'action', 'strategy', 'reflection', 'monitoring') was analyzed. The first analysis show that science teaching and learning through mobile activities are changing from traditional to student-centered. Through these activities, students become more involved in learning and get the opportunity to become agents of learning. As a result of the second analysis, it has been confirmed that the emergence of learners' agencies has been supported and strengthened through mobile activities. Whereas, it needs to look upon the relationship between learners' agency and mobile activities in the overall context of science class. This consideration led to implications for the use of mobile technology in future science education and the transition to student-centered education.

Comparison of Quantitative Interfacial Adhesion Energy Measurement Method between Copper RDL and WPR Dielectric Interface for FOWLP Applications (FOWLP 적용을 위한 Cu 재배선과 WPR 절연층 계면의 정량적 계면접착에너지 측정방법 비교 평가)

  • Kim, Gahui;Lee, Jina;Park, Se-hoon;Kang, Sumin;Kim, Taek-Soo;Park, Young-Bae
    • Journal of the Microelectronics and Packaging Society
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    • v.25 no.2
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    • pp.41-48
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    • 2018
  • The quantitative interfacial adhesion energy measurement method of copper redistribution layer and WPR dielectric interface were investigated using $90^{\circ}$ peel test, 4-point bending test, double cantilever beam (DCB) measurement for FOWLP Applications. Measured interfacial adhesion energy values of all three methods were higher than $5J/m^2$, which is considered as a minimum criterion for reliable Cu/low-k integration with CMP processes without delamination. Measured energy values increase with increasing phase angle, that is, in order of DCB, 4-point bending test, and $90^{\circ}$ peel test due to increasing roughness-related shielding and plastic energy dissipation effects, which match well interfacial fracture mechanics theory. Considering adhesion specimen preparation process, phase angle, measurement accuracy and bonding energy levels, both DCB and 4-point bending test methods are recommended for quantitative adhesion energy measurement of RDL interface depending on the real application situations.

Suggestion on the Key Factors of Smart Education (스마트교육의 핵심요소에 대한 제안)

  • Lee, Sung-Keun;Ryu, Heuisu
    • Journal of The Korean Association of Information Education
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    • v.17 no.2
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    • pp.101-113
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    • 2013
  • The rapid spread of smart devices initiated by the launch of iPhone and the development of state-of-the-art communication technology have opened up a new chapter for today's age, accelerating a paradigm shift. It is defined as 'the smart era' that is characterized by a DNA of mobile. The meaning of the term 'smart' depends on in which field it is used and who uses it, but the term is basically based on 'human being,' namely people. Accordingly, people should take the initiative in this smart era, and what only people can do will become more important for that reason. In addition, there will be a drastic progress in today's technology, which is expected to make human life more convenient and to even make it possible to read human sentiment and emotion. Such social changes have affected education as well, and the education sector is making preparations for the introduction of 'smart education,' as there is a consensus that an absolutely new paradigm shift is mandatory. Smart education is not merely to introduce smart devices, ICT technology and SNS in education. New competent people are required in globalization age, and smart education is to attempt a new education to nurture new competent people. In this study, 4C (that were creativity, collaboration, contents and curation) were suggested as the key factors of smart education, and in which direction smart education should be led in our country was discussed.

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Exploring the Possibility of Applying Social and Emotional Learning to Science Subjects: Analysis of Social Emotional Learning Contents in Science Textbooks (과학교과의 사회정서학습(Social and Emotional Learning) 적용 가능성 탐색: 과학 교과서의 과학과 사회정서학습 요소 분석)

  • Park, HyunJu
    • Journal of Science Education
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    • v.41 no.3
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    • pp.297-317
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    • 2017
  • The purpose of this study was to investigate the possibility of Science Social and Emotional Learning(SSEL). The factors of SSEL were suggested, and by utilizing them, the contents of middle school's science and Chemistry 1 textbook were analyzed. The factors are as follow: numeracy, information and communication technology, critical thinking, creative thinking, personal and social capability, ethical understanding, and intercultural understanding. The results showed that the 60~70% of textbooks put emphasis on numeracy, information and communication technology, critical thinking, creative thinking while some factors were limited in th contents, which were personal and social capability, ethical understanding, and intercultural understanding. Therefore, teacher should try to reconstruct the teaching and learning materials and fill in the deficiencies of SSEL factors through class activities. In addition, it is suggested to study specific application methods such as science activities or experiment activities in detail to meet social and emotional learning.

Design Plan for Digital Textbooks Applying Augmented Reality Image Recognition Technology -A Study on the Digital Textbooks for Middle School Science 1- (증강현실(AR) 영상인식 기술을 적용한 디지털 교과서 디자인 기획 -중학교 과학1 디지털 교과서 중심으로-)

  • Yoo, Young-Mi;Jo, Seong-Hwan
    • The Journal of the Korea Contents Association
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    • v.18 no.6
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    • pp.353-363
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    • 2018
  • According to the Digi Capital forecast, the global augmented reality market is expected to grow rapidly by 2020 to reach 150 billion dollars. In particular, high value added effects are expected in education. As ICT advances, digital textbooks are also leading innovative education by adding interactive functions. Advanced countries, including the U.S., are already using digital textbooks that use augmented reality technology in their classes. In line with this technological outlook, the ministry proposed a design plan that applies augmented reality technology to middle school science 1 digital textbooks. A study on middle school science 1 digital textbooks showed that each unit provided short videos. In addition, an investigation into the augmented reality class case showed that it was difficult to establish experimental equipment, lack of equipment (devices), and 3D design contents that did not continue despite the excellence of learning effects. Based on this demand, we designed an augmented reality scenario and system configuration to be applied to the instrument-specific experiments of middle school science 1 digital textbooks to explore and explore the contents of augmented reality by students. This research will replace the dangerous experiments and time consuming experiments for teachers and students by applying augmented reality to science subjects that are essential for the development of digital textbooks.