Korean | English

pISSN : 2466-0078

2020 KCI Impact Factor : 0.0
Home > Explore Content > All Issues > Article List

2020, Vol.6, No.1

  • 1.

    Dynamical Nuclear Waste Assessment Using the Information Feedback Oriented Algorithm Applicable to the Internet of Things(IoT)

    TAE HO WOO | JANG, KYUNGBAE | 2020, 6(1) | pp.1~8 | number of Cited : 1
    Abstract
    Following the advanced fuel cycle initiative (AFCI) promotions in the United States, the analytic proposition for global fuel cycle initiative (GFCI) has been investigated using dynamical simulations. The political and economic aspects are considered simultaneously due to the particular characteristics of the nuclear materials. The spent nuclear fuels (SNFs) are treated as the reprocessing by the nuclear non-proliferation treaty (NPT) exemption nations and the NPT excluded nations. Otherwise, the pyroprocessing and repository can be done without NPT restriction. In addition, the international trade is considered as the economic aspect where the energy production is a key issue of the GFCI. The dynamical simulations have been done until 2050. The result of the International Trade shows the gradually increasing shape. Additionally, the Nuclear Power Plant Operation shows the increasing by stepwise shape.
  • 2.

    Security of Database Based On Hybrid Blockchain

    KEUNWOO BAE | Keun-Ho Lee | 2020, 6(1) | pp.9~15 | number of Cited : 1
    Abstract
    Recently, interest in blockchain technology has increased. The data industry is increasingly growing around the world. In addition, databases which obtain important information such as personal data are targeted by hackers. Data exposed by attackers happen frequently. In 2017, OWASP announced SQL injection is a top 1 threat to web applications. However, the proportion of data security is the smallest in the data industry. To prevent data exposure, this paper proposes a method that can protect databases by using hybrid blockchain.
  • 3.

    IoT(Internet of Things)-based Smart Trash Can

    Kim, Tae-Kook | 2020, 6(1) | pp.17~22 | number of Cited : 1
    Abstract
    This paper is about IoT(Internet of Things)-based smart trash can. In modern society, waste disposal creates several social problems. In particular, large floating populations cause a problem in the city center on weekends as the waste disposal capacity cannot keep up with the amount of waste discharged. There are problems such as stinks, unpleasant aesthetics, and insects caused by overflowing garbage. To solve this problem, a smart trash can was proposed. The proposed smart trash can provide a garbage compression function, an automatic opening and closing of the trash can lid, a display of the amount of garbage, and monitoring and control of the trash can. It is expected that the proposed ‘smart trash can’ can be usefully used for outdoor waste disposal with a large floating population.
  • 4.

    Design and Diagnosis Case of Energy Eefficiency Diagnostic Solution based on IoT

    Kwangmoon Cho | 2020, 6(1) | pp.23~30 | number of Cited : 3
    Abstract
    This paper proposes energy management directions to discover the factors of energy loss in homes and buildings and to find ways to improve them. We designed a diagnostic content app for everyday life so that not only housing experts but also the general public can use the detachable thermal imaging camera, which is a strong point of popularity and convenience. The diagnostic results using the app were analyzed using Energy Finder, an energy efficiency diagnostic solution. The survey was conducted on the senior center which is in the blind spots and facilities of the energy welfare area. The target of diagnosis was energy efficiency diagnosis by selecting 30 senior centers for over 15 years from 600 locations located in Naju City, Jeollanam-do. The overall diagnosis was good, but it is considered that the place classified as 7th grade needs to be supplemented to improve energy efficiency.
  • 5.

    The Effect of Social Support on Service Quality of Youth Training Facility Employees in Internet of Thing Environment: The Mediating Effect of Empowerment

    Youn Ki Hyok | LEE JIN YEOL | 2020, 6(1) | pp.31~38 | number of Cited : 2
    Abstract
    This study was intended to verify the parameter effects of empowerment in the effect of social support of the employees of youth training facilities on the quality of service. The purpose of this study was to provide basic data for improving the service quality of youth training facility workers. As a result of this study, first, social support and empowerment had a positive effect on service quality. Second, the partial mediating effect of empowerment can be confirmed. Based on the results of this study, the following suggestions were made. First, for the social support of the employees, the middle managers and facility managers of youth training facilities should use the Internet environment such as the Internet and smart phones. Second, in order to improve empowerment, support for information related to work, material support related to compensation, and evaluation support related to business processing should be provided. Third, to improve the empowerment of workers, it is necessary to augmented reality(AR), virtual reality(VR), and flip learning program using the Internet of Things environment.
  • 6.

    Automotive ECU Biometric Authentication Using Blockchain

    Ji-Hoon Hong | Keun-Ho Lee | 2020, 6(1) | pp.39~43 | number of Cited : 0
    Abstract
    The Internet of Things plays a role as an important element technology of the 4th Industrial Revolution. This study is currently developing intelligent cars with IT technology, and is at a time when the development of intelligent cars is active and network data communication is possible. However, security solutions are needed as security is still at a weak stage, which can be threatened by intrusions into the network from outside. In this paper, in order to improve security of intelligent cars without causing security problems, we will apply blockchain technology, propose biometric authentication techniques using users' biometric information, and continue to study them in the future.
  • 7.

    Relationship of Knowledge of End-of-life care, Life-Sustaining Treatment, and Advance Directive with the Educational Needs regarding Advance Directives Writing among Nurses in General Hospital in Convergence Era

    Ji-Hyun Jeong | Cheon, Jooyoung | 2020, 6(1) | pp.45~53 | number of Cited : 0
    Abstract
    This study aimed to examine the relationship of the knowledge of end-of-life(EOL) care, life-sustaining treatment(LST), and advance directive(AD) with the educational needs regarding AD writing among nurses in convergence era. For this cross-sectional study, participants were 169 nurses at a general hospital in South Korea. Data were collected from July 19 to 26 in 2018 using structured questionnaires. Knowledge on EOL care scored 8.56 out of 11 points, knowledge on LST scored 5.11 out of 6 points, and knowledge on AD scored 8.02 out of 9 points. Educational needs regarding AD writing scored 4.31 out of 5 points. There were statistically correlations between knowledge on LST and educational needs regarding AD writing (r=.182, p =.018), and between knowledge on AD and educational needs regarding advance AD writing (r=.234, p =.002). The findings can be used to develop the educational program regarding AD.
  • 8.

    The Effects of Psychomotor program on the Childcare Efficacy and Ego Resilience of Child care teachers

    Young-Ran Lee | Hye-Jeong Hong | Hwa-Sun Lee | 2020, 6(1) | pp.55~63 | number of Cited : 0
    Abstract
    The purpose of this study is to examine the effects of Psychomotor program on the child care teacher's ego resilience and childcare efficacy. The subjects of this study are childcare teachers of eight daycare centers in J-gu, Seoul. The final subjects were 18 in the experimental group and 19 in the control group. Psychomotor program was provided to the experimental group, which consisted of four hours per session, two sessions per week, and a total of ten sessions. Data collection took place between September 2 and November 12, 2017. Collected data were analyzed by independent sample Wilcoxon-Mann-Whitney test. In this study, the Psychomotor program had a significant effect on improving ego resilience and childcare efficiency of interpersonal relationships which is lower factor of the ego resilience. Through this study, we identified it was worth establishing a basic basis for managing and supporting ego resilience of child care teachers, and that it was meaningful to suggest ways to help them adapt and cope with their job duties.
  • 9.

    Tea Culture Convergence Program Impact on improving communication in the elderly

    Insook kim | Park Sun Hee | 2020, 6(1) | pp.65~72 | number of Cited : 0
    Abstract
    The purpose of this study was to examine the effect on improving communication by conducting a tea culture convergence program for elderly people using facilities. The subjects of this study consisted of a tea culture convergence program for 3 months, 60 minutes once a week for 7 people using the Elderly Day Care Center in the H-S S welfare center. Psychological and behavioral changes related to communication by sessions were compared by comparing elderly patients at each session of the Tea Culture Convergence Program.Tea culture convergence program was found to have a positive effect on behaviors and attitudes related to communication among the elderly in the facilities. As a result of analyzing pre- and post-action and attitudes, the Tea Culture Convergence Program brought positive changes in communication by acting as emotional and social support for the elderly. These findings suggest that the Tea Culture Convergence Program is a psychologically necessary program for the elderly in that it shows that the Tea Culture Convergence Program is an effective program that promotes communication among the elderly in the facilities.
  • 10.

    Cloud Computing Based Analysis Incorporated with the Internet of Things (IoT) in Nuclear Safety Assessment for Fukushima Dai-ichi Disaster

    TAE HO WOO | JANG, KYUNGBAE | 2020, 6(1) | pp.73~81 | number of Cited : 0
    Abstract
    The internet of things (IoT) using cloud computing is applied to nuclear industry in which the nuclear power plant (NPP) accident is analyzed for the safety assessment. The Fukushima NPP accident is modeled for the accident simulations where the earthquake induced plant failure accident is used for analyzing the cloud computing technology. The fast and reasonable treatment in the natural disaster was needed in the case of the Fukushima. The real time safety assessment (RTSA) and the Monte-Carlo real time assessment (MCRTA) are constructed. This cloud computing could give the practicable method to prepare for the future similar accident.
  • 11.

    Towards Real Time Detection of Rice Weed in Uncontrolled Crop Conditions

    Muhammad Umraiz | KIM, SANGCHEOL | 2020, 6(1) | pp.83~95 | number of Cited : 0
    Abstract
    Being a dense and complex task of precisely detecting the weeds in practical crop field environment, previous approaches lack in terms of speed of processing image frames with accuracy. Although much of the attention has been given to classify the plants diseases but detecting crop weed issue remained in limelight. Previous approaches report to use fast algorithms but inference time is not even closer to real time, making them impractical solutions to be used in uncontrolled conditions. Therefore, we propose a detection model for the complex rice weed detection task. Experimental results show that inference time in our approach is reduced with a significant margin in weed detection task, making it practically deployable application in real conditions. The samples are collected at two different growth stages of rice and annotated manually.
  • 12.

    Filed Programmable Logic Control and Test Pattern Generation for IoT Multiple Object switch Control

    KIM EUNG JU | Jung Ji-Hak | 2020, 6(1) | pp.97~102 | number of Cited : 0
    Abstract
    Multi-Channel Switch ICs for IoT have integrated several solid state structure low ON-resistance bi-directional relay MOS switches with level shifter to drive high voltage and they should be independently controlled by external serialized logic control. These devices are designed for using in applications requiring high-voltage switching control by low-voltage control signals, such as medical ultra-sound imaging, ink-jet printer control, bare board open/short and leakage test system using Kelvin 4-terminal measurement method. This paper describes implementation of analog switch control block and its verification using Field programmable Gate Array (FPGA) test pattern generation. Each block has been implemented using Verilog hardware description language then simulated by Modelsim and prototyped in a FPGA board. Compare to conventional IC, The proposed architecture can be applied to fields where multiple entities need to be controlled simultaneously in the IoT environment and the proposed pattern generation method can be applied to test similar types of ICs.