• Journal of information and communication convergence engineering
• /
• v.20 no.4
• /
• pp.288-294
• /
• 2022

The media content market has been growing, as various types of content are being mass-produced owing to the recent proliferation of the Internet and digital media. In addition, platforms that provide personalized services for content consumption are emerging and competing with each other to recommend personalized content. Existing platforms use a method in which a user directly inputs video metadata. Consequently, significant amounts of time and cost are consumed in processing large amounts of data. In this study, keyframes and audio spectra based on the YCbCr color model of a movie trailer were extracted for the automatic generation of metadata. The extracted audio spectra and image keyframes were used as learning data for genre recognition in deep learning. Deep learning was implemented to determine genres among the video metadata, and suggestions for utilization were proposed. A system that can automatically generate metadata established through the results of this study will be helpful for studying recommendation systems for media super-personalization.

• Journal of the Korean Society of Environmental Restoration Technology
• /
• v.5 no.4
• /
• pp.39-50
• /
• 2002

The purpose of this study was to evaluate site-based environmental education(EE) programs. For the evaluation, an evaluation chart was developed. The chart was consisted of twenty evaluation items in the following six categories : 'goals & objectives', 'instructional planning', 'instruction', 'learning outcomes & evaluation', 'features of program', and 'program operation'. One hundred sixty five site-based EE programs, funded by the Korean Ministry of Environment in 2000, were evaluated. After the evaluation, the programs were also categorized and analyzed according to regions, organizations, and amount of funds. The results indicated that awareness, participation, and attitude were addressed in the purpose of the programs, while knowledge and skills were not. The diversity of activities and teaching strategies of the programs were insufficient. Cultural aspects, fairness, originality, and accuracy were also insufficiently addressed. Assessment and evaluation of such programs were needed to be considered to a larger degree. From the analysis of programs according to categories, Choongbuk province in the regional aspect and schools in the organizational aspect got higher scores than others. Overall, the more funding the program received, the higher score it got in evaluation. Some improvements and strategies for activating site-based EE were recommended based on the result of the evaluation.

• International Journal of Fuzzy Logic and Intelligent Systems
• /
• v.8 no.2
• /
• pp.100-104
• /
• 2008

In this paper, intelligent filtering methodology for masterarm translation signal is proposed. Fidelity and stability are contradicting factors in teleoperation. Human hand trembling filtering is one of the problems in telemanipulation field. During every operation the hand has a certain vibration that can affect the quality of teleoperation, especially in carrying FPD (Flat Panel for Display), nanomanipuation and other precise tasks. It is very important to study the kinesthetic perception of the human and to optimize the teleoperation system accordingly. To cancel out the influence of human's hand vibration the signal from the masterarm should be filtered. One of the feasible solutions is to use an intelligent filter based on fuzzy logic, which is a very flexible instrument. Applying intelligent filtering methodology, we can use some heuristic methods to solve the filtering problem.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2022.05a
• /
• pp.566-568
• /
• 2022

Metaverse is the most emerging technology due to the recent 4th industry and the non-face-to-face society of Corona 19. As one of the core technologies of Metaverse, VR·AR technology is being industrialized in various fields such as medical care, education, and service. Among them, education and training are the most important fields of application, and nuclear power plant operation also requires this technology. In this paper, we will look at the fields of application of VR·AR technology in existing industries and suggest a plan for use in nuclear power plant work.

• Journal of Creative Information Culture
• /
• v.7 no.4
• /
• pp.265-277
• /
• 2021

Data is the core of AI technology. With the development of technology, AI technology is also accelerating as the amount of data increases explosively than before. However, compared to the interest in AI education, research on data education with AI is still insufficient. According to the case analysis of exsisting AI data education, there were cases of educating the process and part of data science, but it was hard to find studies related to data collection. Cause physical computing tools have a positive effect on AI education for elementary school students, data collection cases using tools were studied, but researches related to data collection were rare. Therefore, in this study, an efficient data collection method using physical tools was designed. A structural diagram of a data collection program was created using COBL S, a modular physical computing teaching tool, and examples of program screens from the service side and the user side were configured. This study has limitations in that the establishment of an AI education platform that can be used in conjunction with future program production and programs should be prioritized as a proposal in terms of design.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.14 no.5
• /
• pp.1984-2002
• /
• 2020

With the appearance of wireless spectrum crisis in traditional cellular network, device-to-device (D2D) communication has been regarded as a promising solution to ease heavy traffic burden by enabling precise content delivery among mobile users. However, due to the channel sharing, the interference between D2D and cellular users can affect the transmission rate and narrow the throughput in the network. In this paper, we firstly present a weighted interference minimization cluster formation model involving both social attribute and physical closeness. The weighted-interference, which is evaluated under the susceptible-infected(SI) model, is utilized to gather user in social and physical proximity. Then, we address the cluster formation problem via spectrum clustering with iterative operation. Finally, we propose the stable matching theory algorithm in order to maximize rate oriented to accomplish the one-to-one resource allocation. Numerical results show that our proposed scheme acquires quite well clustering effect and increases the accumulative transmission rate compared with the other two advanced schemes.

• International Journal of Internet, Broadcasting and Communication
• /
• v.11 no.3
• /
• pp.27-33
• /
• 2019

Quadrature spatial modulation (QSM) utilizes the in-phase and quadrature spatial dimensions to transmit the real and imaginary parts, respectively, of a single signal symbol. Improved QSM (IQSM) builds upon QSM to increase the spectral efficiency by transmitting the real and imaginary parts of two signal symbols using antenna combinations of size of two. In this paper, we propose a double QSM (DQSM) scheme that transmits the real and imaginary parts of two signal symbols independently through any of the transmit antennas. The two signal symbols are drawn from two different constellations of the same size with the first symbol drawn from any of the conventional modulation sets while the second is drawn from an optimally rotated version of the first constellation. The optimum rotation angle is obtained through extensive Monte Carlo simulations to minimize the bit error rate (BER) of the system. Simulation results show that for a given spectral efficiency, DQSM performsrelatively close to IQSM while requiring a smaller number of transmit antennas, and outperformsIQSM by up to 2 dB when the same number of antennas are used.

• Journal of Practical Engineering Education
• /
• v.8 no.2
• /
• pp.83-89
• /
• 2016

Flip-learning enables an effective teaching and learning in accordance with the deepening degree of engineering education as a framework that enables learning according to the individual differences of the theoretical aspects, and solving real problems and practice of the learner-centered education through the application of this. The subject of basic fluid power practice which is used in various industries requiring factory automation aims at understanding of the composition and operating principles of pneumatic components and programming of electric sequential circuits, building the design ability of pneumatic system. This subject goes by 3 hour classes with theory and practice side by side. So it has not enough time to instruct students various contents related in this subject. In this study, the instructional design was performed according to the KOREATECH (Korea University of Technology and Education) flip-learning basic model for the effective teaching of 'Basic Fluid Power Practice' in basic engineering practice courses,. And the effectiveness of flip-learning is analyzed through the students survey after performing classes.

• Journal of Institute of Control, Robotics and Systems
• /
• v.21 no.6
• /
• pp.524-530
• /
• 2015

Early wearable robotic devices were big, powerful and manipulator-like. Recently, various applications of wearable robotics have shown a greater demand for lower weight and compliancy. One approach to achieve these objectives is the use of novel actuators such as twisted string actuators. These actuator are very light, quiet, mechanically simple and compliant. Therefore, they can drastically decrease the weight and size of robotic systems such as exoskeletons. However, one drawback of this actuator is its nonlinear transmission ratio, which is established as a ratio between the angle of twisting of the strings and their resulting contraction. In this paper, we propose a transmission mechanism with rotational motion as the output incorporating a twisted string actuator (TSA). The designed mechanism allows the linearization of the relationships between the input and output displacements and forces of a TSA. The proposed design has been validated theoretically and through a set of computer simulations. A detailed analysis of the performance of the proposed mechanism is presented in this paper along with a design guideline.

• Journal of Powder Materials
• /
• v.27 no.1
• /
• pp.58-62
• /
• 2020

Recently, electrochromic devices (ECDs) have gathered increasing attention owing to their high color contrast and memory effect, which make them highly applicable to smart windows, auto-dimming mirrors, sensors, etc. Traditional ECDs have a sandwich structure that contains an electrochromic layer between two ITO substrates. These sandwich-type devices are usually fabricated through the lamination of two electrodes and followed by the injection of a liquid electrolyte in the inner space. However, this process is sometimes complex and time consuming. In this study, we fabricated ECDs with a lateral electrode structure that uses only an ITO substrate and an all-in-one electrochromic gel, which is a mixture of electrolyte and electrochromic material. Furthermore, we investigated the EC properties of the lateral-type device by comparing it with a sandwich-type device. The lateral-type ECD shows strong blue absorption as the applied voltage increases and has a competitive coloration efficiency compared to the sandwich-type device.