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pISSN : 1975-7700 / eISSN : 2734-0570

2020 KCI Impact Factor : 0.42
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2019, Vol.14, No.1

  • 1.

    The Analysis of Optimized Rib Distance for Solar-Powered UAV’s Ultra-Light Composite Wing

    Yongman Yang | kim hyun su | Ryu Jong Hyeon | 2019, 14(1) | pp.1~9 | number of Cited : 0
    Abstract PDF
    Reflecting various fabrication design elements, such as air power, structure, propulsion, control systems and solar power systems, Specially solar powered unmanned aerial vehicles are making efforts to improve long-term air time and flight efficiency through the lightweighting of low-power, high-efficiency energy storage systems, unmanned aerial vehicles and payloads in order to increase the power of the limited batteries. Generally, in the case of a solar unmanned aerial vehicle, it is equipped with a wing having a large aspect ratio so as to be lightweight for a long-term gliding and long-range enduarance. In this study, the buckling and structural problems of the wing front skin caused by torsion at the wing and wing connections during a test flight of a solar unmanned aerial vehicle, the rib spacing of wings has been identified as a very important factor to reduce impact and for long duration of flight and aircraft safety and wing-specific lift and to optimize its efficiency. Prior to sample production and structural testing, the finite element analysis analyzed the effects of aircraft wing ribs on the buckling of the wing front skin, and the structural analysis was performed using the ANSYS program to derive the optimal rib clearance for solar unmanned aircraft.
  • 2.

    A Study on Design of Robust Remote User Authentication Scheme with Enhanced for Anonymity and Confidentiality

    shin kwang cheul | 2019, 14(1) | pp.11~24 | number of Cited : 2
    Abstract PDF
    Until recently, a variety of biometric authentication schemes using smart cards have been proposed to enhance the security of remote authentication systems. Telecare medical information systems(TMIS) provides convenient health care services for user(patients) in order to save the patients' time and expense. Therefore, the system is important for secure mutual authentication between the user and the healthcare server, and sensitive medical information should not be exposed to third parties. In this paper, We analyzed the vulnerability of Lu et al.'s authentication protocol using elliptic curve encryption. And We propose a scheme to improve this paper. Lu et al.'s scheme has developed a biometric and smart card-based remote authentication scheme that complements the vulnerability to user spoofing attacks in the Arshad et al.'s scheme. However, result of analysis of their schemes reveals the confidentiality of the user's anonymity and login message by eavesdropping on the login message. Therefore, it is vulnerable to legitimate spoofing attacks of users and servers. In the proposed paper, we redesigned the security of server secret key and secret number. Therefore, we proposal suggests anonymity, confidentiality of messages, and a secure user authentication scheme for multiple attacks by legitimate users and servers. We will contribute to providing strong security and implementation efficiency when designing future authentication schemes.
  • 3.

    Electromagnetic Bio-cell Solenoid System with Cellular Proliferation

    Hwang Yoon Cheol | 2019, 14(1) | pp.25~32 | number of Cited : 0
    Abstract PDF
    Currently, IT technology is used to convert magnetic energy into electric energy or Researches using magnetic energy such as storing the magnetic energy by flowing a current to a superconducting magnet having an electric resistance of 0 are being actively carried out. Particularly in the medical field, magnetic energy is used to cultivate cells in a biocell for the purpose of cancer treatment. However, it takes a lot of time and cost to cultivate cells in a bio cell. In this paper, we propose a self - biosensor solenoid system that can save time and cost by optimizing the effect of magnetic energy on the biocell and After designing the magnetic field administration environment, the performance is analyzed using FEMM. HER cells for cervical cancer, AGS for stomach cancer, and HEK293 cells for protein overexpression were used for the experiments, and the results of the cell growth rates of the magnetic energy for each bio cell were shown.As a result, Hera cells and HEK293 cells showed the highest growth rates at 40G. Through this analysis, the proposed self-biocell solenoid system can monitor the growth process of the biocell And the time required for culturing is shortened. The proposed magnetic biosensor solenoid system can be used to estimate the amount of magnetic energy to be applied to various biocells. In addition, it is possible to apply it to experiments in the field of magnetic therapy.
  • 4.

    A Study on Intention Analysis of IPTV Users

    Jaehyeon An | 2019, 14(1) | pp.33~41 | number of Cited : 0
    Abstract PDF
    IPTV provides real-time multichannel broadcasting services as well as Internet-based VOD services and interactive services. Through these services, consumers will be more satisfied and have a greater ripple effect across the broadcasting and communication industries. However, Various services for generating revenue are not provided. In particular, there is a lack of empirical research on consumers using IPTV. The revenue generation and activation of IPTV services must be systematically managed and evaluated. In this study, we will analyze the factors that influence the use of IPTV by consumers based on its characteristics, interactivity, and content diversity. Research has shown that satisfaction with using content (benefit and convenience) has positive effects in order of content loyalty, ease of use, and visual composition. Content loyalty has emerged as an important factor in user satisfaction, according to the study. Analysis of the relationship between perceptual and empirical factors of IPTV indicated that the perceptual factors that positively affect the empirical factors of pleasure were content loyalty, ease of use, and visual composition. The results showed that content loyalty was as expected to enable users to experience the pleasure of using IPTV. In addition, the analysis using empirical factors (intrusive) as a dependent variable showed significant results only in content loyalty and ease of use. Therefore, IPTV users can experience a variety of new information and excitement and immersion when it is convenient to use IPTV. What we see from these results is that it is important to manage the content provided by the service provider in order to improve the satisfaction of IPTV. In addition, carriers that provide IPTV must provide a variety of special services.
  • 5.

    AR Forklift Training System Using Augmented Reality-based Interface Characteristics

    Jungmin Shin | Sang-Youn Kim | Goo-Cheol Jeong | 2019, 14(1) | pp.43~51 | number of Cited : 0
    Abstract PDF
    Augmented reality has the advantage of providing a contextual learning experience to users by combining virtual elements in a realistic situation. Contextual learning helps to discover and find solutions to various problems that arise in non-continuous and non-procedural real world situations. The purpose of this study is to obtain the user 's evaluation of the training system for practical skill training of the forklift driving based on augmented reality technology. In order to verify the convenience of the user for the forklift training system, 20 subjects were divided into two groups of ten, one expert group which is familiar with the augmented reality and the other group which has not been used augmented reality. Results are derived with intuitive training as users were highly satisfied with both quality of the contents and the use of the interface. It was found that the driving time of the beginner group was about 2.46% longer than that of the expert group, but the difference between the two groups was not significant. Also, most users can easily use the system regardless of the familiarity of the augmented reality technology. This study focuses on the positive effect on educational training system using augmented reality which contains intuitive and easy interface. This is because the users were intuitively trained because they were satisfied with the quality of the content and the user interface.
  • 6.

    A Study on Quality Improvement of Ultra Multi-channel Audio Coding using Residual Signal

    Kwangki Kim | 2019, 14(1) | pp.53~62 | number of Cited : 0
    Abstract PDF
    The conventional ultra multi-channel audio coding (UMAC) based on playback space segmentation divides the playback space into five spaces and separately encodes input signals for each space using the encoding module for each space. Generated 5 down-mix signals for each space are encoded using a 5.1 channel audio coder. Therefore, the UMAC requires only one or two coders, so that the bit rate and complexity are very low, enabling realistic sound service in wired/wireless network, communication, and mobile environments. However, since the UMAC restores the ultra multi-channel signal using only the down-mix signal and the power ratio parameters extracted from the 28 sub-bands, deterioration of the sound quality can not be avoided. In this paper, we propose an enhanced UMAC (E-UMAC) to improve the quality of reconstructed signal by using residual signal which compensates the difference between original signal and reconstructed signal to solve the problem of sound quality deterioration of the UMAC. According to the proposed method, a coding module for each playback space is changed to extract a residual signal and add a process of restoring the input signals using the residual signal. Moreover, the overall coding structure is changed so that one residual signal is extracted for the 2-channel input. For the verification, we coded 10.2 channel audio contents using the implemented E-UMAC and performed the bit-rate measurement and the sound quality evaluation. The effectiveness of the proposed E-UMAC was validated from experimental results that the bit-rate is increased by about 44% compared with the UMAC but the sound quality of the reconstructed signal is greatly improved.
  • 7.

    A Propose and Design of Advanced Software Traceability Readability Opportunity Model

    Gi Hun Park | Kiwon Song | 2019, 14(1) | pp.63~70 | number of Cited : 0
    Abstract PDF
    This paper proposes ASTRO models that complement the problems of the existing S/W Stack Architecture. For the software stack architectures that are currently commonly used, it is not possible to provide much information about the increasing S/W complexity and progress in project development, which may lead to confusion in project progress. Therefore, this paper proposes ASTRO models that complement these problems and include all the information needed to develop S/W. For an intuitive understanding of the S/W project, the ASTRO Model visualizes and expresses IP information in more detail than the layers, subsystems, and existing Stack Architecture that are included in that S/W and uses different markers to easily determine whether the IP is an internal asset, an external asset, or an undecided one. In addition, this paper also implements systems for creating ASTRO models and managing projects. The system helps create ASTRO models and supports reuse of layers, subsystems, and IPs. It is also implemented to check detailed information such as resources allocated to each IP, core functions, defects and development period. Based on the current proposed model, future research plans to provide a reference model for each domain, reflecting the characteristics of various domains, and to develop Web-based ASTRO II considering the additional features, convenience and accessibility required for systems for integrated project management.
  • 8.

    A Study on Efficiency of the Experience Oriented Self-directed Learning in the VR Vocational Training Contents

    Jungmin Shin | Choi Dong-Soo | Sang-Youn Kim and 1other persons | 2019, 14(1) | pp.71~80 | number of Cited : 2
    Abstract PDF
    The field of technical vocational training requires operation of the training equipment which result in high cost and higher risk. This study examined virtual reality training contents that can replace the shortcoming of the current vocational training environment and analyzed the user’s evaluation. Virtual reality vocational training contents which has no high cost and higher risk enables learners to improve their proficiency by repeating training in various educational situations. This is the potential of VR as a educational medium. VR, which is a key tool for constructing a virtual environment, stimulates a variety of senses, thereby inducing interaction with a specific content to be transmitted through the VR medium. This kind of immersion and interactivity enhances the actual experience in the learning situation, so that the learner realizes the self - directed learning which leads the learning through the environment and the information and the interaction which helps the learning by oneself. Therefore, it can be seen that virtual reality vocational training system provides experiential oriented self-directed learning experience to learners. In this study, we conducted a user evaluation based on the overall satisfaction and inconvenience of virtual reality lathe contents for vocational students and teachers working in lathe processing. And based on the analysis results, this study also examined the possibility of VR vocational training contents as a educational media for experience-based self-directed learning.
  • 9.

    A Case Study of Online Project Based Learning in a MOOC for Vocational Education

    Im, Tami | Sun-Young Heo | Sang-Youn Kim | 2019, 14(1) | pp.81~91 | number of Cited : 2
    Abstract PDF
    The purpose of this study was to explore the effects of online project based learning on the learning outcomes of a MOOC in vocational education setting. A six- weeks of “Python Programing learning by step by step Projects” e-learning course was designed as an online project based learning course. This course consisted of three projects supported by additional resources for practices, immediate feedback, and live seminars. The main activity of this course was conducting individual projects supported by individualized feedback from the instructor. The participants of this study was 192 learners who registered this free course. The results show that the completion rate of this course as 33.9% which was very higher comparing to other normal “Python Programing” courses’ completion rate as 19% and the average K-MOOC completion rate in 2016 as 11.4%. Satisfaction score was 4.3/5.0 which was higher than normal “Python Programing” courses’ satisfaction score as 4.12/5.0. Results of this study suggest that online project based learning could be a promising learning model for MOOC in vocational education to facilitate learners’ motivation, completion rate, and satisfaction.
  • 10.

    Design of Convolution Neural Network Based On Solar Energy and Enhancement of Number Recognition

    Kwon Oh-Sung | 2019, 14(1) | pp.93~101 | number of Cited : 3
    Abstract PDF
    Applications of solar power are also increasingly common. In this paper, we explained the characteristics of our new discriminator based on solar energy and CNN for number recognition. Our CNN(Convolution Neural Network) is one in deep learning models with the function of human visual perception. The neural network model carries out the image feature matching process to recognize entered digital images. Our proposed CNN structure was designed with multiple hidden layers to retrieve the features of handwritten numeral images. The CNN structure performs 2D image convolution operation to extract noise, edge and stroke information from the numeral images. These feature information from the convolution layers is served as a new input stream of FCN(Fully Connected Network) for the classification of the features. The FCN performs a classification procedure based on the protypes already deployed for numeral image matching. We used MNIST(Modified National Institute of Standards and Technology) data set to achieve objective recognition measurement. The 60,000 samples of MNIST data set were applied for the learning process of our CNN recognizer, while we used the 10,000 samples for the performance measurement of our CNN recognizer. The measurement experiments were carried out after the repeating the training process of CNN only two times. The several misrecognition results were observed in our performance test, therefore we performed the additional training step to enhance the recognition rate of our CNN. Our additional method is the distortion of our input samples. we performed serveral distortion function such as a scaling, a rotation, and an elastic. In the final measurement of CNN recognizer, we observed that the recognition rate after the applying distortion process was improved by about 98.04%.
  • 11.

    Proposal CPS Assessment Model Based on Medical Domain

    Ju Hyuck Han | Kiwon Song | 2019, 14(1) | pp.103~110 | number of Cited : 1
    Abstract PDF
    In this study, we propose cloud assessment services based on the technical standards of Cyber Physical System (CPS), which implements the physical domain of recently evolving integrated technology systems as computing power. There are currently a lot of research and projects on CPS at home and abroad, which consist of a combination of systems and systems. With the current software quality test, software quality evaluation of complex systems such as CPS is difficult. Thus, a technology standard with greater reliability between systems will have to be utilized for the CPS-based software quality assessment than the existing technology standard. However, with the advent of CPS, many of the technical standards studied are difficult to adapt to existing software quality test frames. Therefore, this study was implemented to supplement these problems and increase the convenience and practicality of the quality assessment. It is also based on medical domains with high software requirements among Korean-style CPS domain services. In particular, three of the C5 models proposed by many studies were focused on the three conditions and organized in each phase of classifying and merging each standard. The future research plan will study CPS domains in other industry sectors not covered by this study and will interoperate various international standards by sector.