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pISSN : 1598-849X / eISSN : 2383-9945

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2022, Vol.27, No.6

  • 1.

    Fault Injection System for Linux Kernel Modules

    Sunghoon Son | 2022, 27(6) | pp.1~9 | number of Cited : 0
    Abstract PDF
    In this paper, we propose a general-purpose fault injection system for Linux loadable kernel modules. The fault injection system enables software developers and testers to inject various kinds of faults easily into user-specified kernel modules in user-controlled manner. The proposed system also provides workload generation in order to make injected faults be exposed effectively, By experiments, we show that the fault injection system correctly injects faults into Linux kernel modules. The proposed system can be utilized as a useful tool for testing during kernel module development It is also useful for studies on kernel behaviour analysis and fault isolation and recovery.
  • 2.

    A study on the method of measuring the usefulness of De-Identified Information using Personal Information

    Dong-Hyun Kim | 2022, 27(6) | pp.11~21 | number of Cited : 0
    Abstract PDF
    Although interest in de-identification measures for the safe use of personal information is growing at home and abroad, cases where de-identified information is re-identified through insufficient de-identification measures and inferences are occurring. In order to compensate for these problems and discover new technologies for de-identification measures, competitions to compete on the safety and usefulness of de-identified information are being held in Korea and Japan. This paper analyzes the safety and usefulness indicators used in these competitions, and proposes and verifies new indicators that can measure usefulness more efficiently. Although it was not possible to verify through a large population due to a significant shortage of experts in the fields of mathematics and statistics in the field of de-identification processing, very positive results could be derived for the necessity and validity of new indicators. In order to safely utilize the vast amount of public data in Korea as de-identified information, research on these usefulness metrics should be continuously conducted, and it is expected that more active research will proceed starting with this thesis.
  • 3.

    Anomaly Event Detection Algorithm of Single-person Households Fusing Vision, Activity, and LiDAR Sensors

    Do-Hyeon Lee , Ahn Jungho | 2022, 27(6) | pp.23~31 | number of Cited : 0
    Abstract PDF
    Due to the recent outbreak of COVID-19 and an aging population and an increase in single-person households, the amount of time that household members spend doing various activities at home has increased significantly. In this study, we propose an algorithm for detecting anomalies in members of single-person households, including the elderly, based on the results of human movement and fall detection using an image sensor algorithm through home CCTV, an activity sensor algorithm using an acceleration sensor built into a smartphone, and a 2D LiDAR sensor-based LiDAR sensor algorithm. However, each single sensor-based algorithm has a disadvantage in that it is difficult to detect anomalies in a specific situation due to the limitations of the sensor. Accordingly, rather than using only a single sensor-based algorithm, we developed a fusion method that combines each algorithm to detect anomalies in various situations. We evaluated the performance of algorithms through the data collected by each sensor, and show that even in situations where only one algorithm cannot be used to detect accurate anomaly event through certain scenarios we can complement each other to efficiently detect accurate anomaly event.
  • 4.

    A Virtual Battlefield Situation Dataset Generation for Battlefield Analysis based on Artificial Intelligence

    Eunji Cho , Soyeon Jin , Yukyung Shin and 1 other persons | 2022, 27(6) | pp.33~42 | number of Cited : 0
    Abstract PDF
    In the existing intelligent command control system study, the analysis results of the commander's battlefield situation questions are provided from knowledge-based situation data. Analysis reporters write these results in various expressions of natural language. However, it is important to analyze situations about information and intelligence according to context. Analyzing the battlefield situation using artificial intelligence is necessary. We propose a virtual dataset generation method based on battlefield simulation scenarios in order to provide a dataset necessary for the battlefield situation analysis based on artificial intelligence. Dataset is generated after identifying battlefield knowledge elements in scenarios. When a candidate hypothesis is created, a unit hypothesis is automatically created. By combining unit hypotheses, similar identification hypothesis combinations are generated. An aggregation hypothesis is generated by grouping candidate hypotheses. Dataset generator SW implementation demonstrates that the proposed method can be generated the virtual battlefield situation dataset.
  • 5.

    Frontal Face Video Analysis for Detecting Fatigue States

    Simyeong Cha , Jongwoo Ha , Soungwoong Yoon and 1 other persons | 2022, 27(6) | pp.43~52 | number of Cited : 0
    Abstract PDF
    We can sense somebody's feeling fatigue, which means that fatigue can be detected through sensing human biometric signals. Numerous researches for assessing fatigue are mostly focused on diagnosing the edge of disease-level fatigue. In this study, we adapt quantitative analysis approaches for estimating qualitative data, and propose video analysis models for measuring fatigue state. Proposed three deep-learning based classification models selectively include stages of video analysis: object detection, feature extraction and time-series frame analysis algorithms to evaluate each stage's effect toward dividing the state of fatigue. Using frontal face videos collected from various fatigue situations, our CNN model shows 0.67 accuracy, which means that we empirically show the video analysis models can meaningfully detect fatigue state. Also we suggest the way of model adaptation when training and validating video data for classifying fatigue.
  • 6.

    A study on Data Context-Based Risk Measurement Method for Pseudonymized Information Processing

    Dong-Hyun Kim | 2022, 27(6) | pp.53~63 | number of Cited : 0
    Abstract PDF
    Recently, as digital transformation due to the COVID-19 pandemic accelerates, data to improve individual quality of life is being used in large quantities, and more reinforced non-identification processing procedures are required to utilize the most valuable personal information among data. In Korea, procedures for de-identification measures are presented through amendments to laws and guidelines, but there is no methodology to measure the level of de-identification in the field due to ambiguous processing standards and subjective risk measurement methods. This paper compares and analyzes the current status of policy and guidelines related to de-identification measures proposed at home and abroad to derive complementary points, suggests a data context-based risk measurement method centered on pseudonymized information processing, and verifies its validity. As a result of verification through Delphi survey and focus group interview (FGI), it was confirmed that the need for the proposed methodology and the validity of the indicators were high.
  • 7.

    Coexistence Direction of Webtoon in The Metaverse World

    Bo-Ra Han , Young-Hee Kwon | 2022, 27(6) | pp.65~75 | number of Cited : 0
    Abstract PDF
    This study analysed about to feasiblity of metaverse what it can be grantify the need of the current generation even though webtoon have limited environment and fixed story and if it possible, whether to some extent it possible. This study have direction it was set the needs of users centrically and was purposed to found a model for invigoration of webtoon market in metaverse to come. For this study, direction of development of metaverse, precedent study about metaverse and than analyzed it about based on grafted cases of metaverse and webtoon.
  • 8.

    Overview of technologies: ensure anonymity of privacy coins

    Hoon Kwon , Eun-Young Kim | 2022, 27(6) | pp.77~86 | number of Cited : 0
    Abstract PDF
    Recently, various cryptocurrencies (coins) based on block chains have appeared, and interest in privacy coins, which is an anonymity-based cryptocurrency that values personal information protection, is growing. In this paper, we look at coin abuse cases using privacy coins, and analyze the technology that guarantees the anonymity of 8 mainly traded privacy coins (Monero, Dash, Zcash, BEAM, Grin, Horizen, Verge, and Pirate Chain). We would like to analyze the applied technologies for We present the problems that can occur in these privacy coins, check the technology and each element applied to the privacy coin, and analyze the technical difficulty of the anonymity guarantee technology for the mainly traded coins through this, and Appropriate countermeasures and classification of privacy coins for technical difficulty were presented through the problem. Through this, the standard for re-evaluating the value of the coin according to the application of appropriate technology for the privacy coin can be presented.
  • 9.

    Factors Affecting the unexamined Oral Examination in Cancer Patients – The 7th Korea national health and nutrition examination survey

    Yu Yeon Jung , Kyung-Yi Chung | 2022, 27(6) | pp.87~93 | number of Cited : 0
    Abstract PDF
    This study was conducted to use as basic data to increase the oral examination rate by analyzing Whether to undergo oral examination and the Factors Affecting the unexamined Oral Examination in Cancer Patients. These factors were analyzed using the results from 376 cancer patients in 7th Korea national health and nutrition examination survey. The data were analyzed complex sample frequency analysis and chi-square analysis, multiple logistic regression by using SPSS/WIN 26.0 program. 38% of cancer patients had oral examination and 62% did not. The Factors Affecting the unexamined Oral Examination increased by 3.641 times in over 70 years of age and by 3.928 times in graduating less than elementary school, by 3.740 times in the low-income group, 2.050 times in less than 2 brushing times a day, by 2.533 times in the chewing-problems group, by 2.746 times in speech problems group. The study results show that the oral examination rate of cancer patients was very low. It is necessary to to expand education on the importance of oral care and oral examination in consideration of oral complications and to actively introduce a customized oral health management program for cancer patients.
  • 10.

    Development of a Bodice Prototype Drafting Method for 20s Obesity Males using 3D Simulation

    Cha Su Joung | 2022, 27(6) | pp.95~107 | number of Cited : 0
    Abstract PDF
    This study attempted to develop a bodice prototype suitable for the 20’s obese male’s trunk with a BMI of 25kg/m2 or more, which is distinguished from the standard body type. Through this, it was intended to provide data to help the development of clothing for obese males. Patterns such as front bodice shoulder line and front sagging were modified through primary appearance and garment pressure evaluation. Through the second evaluation, corrections such as back armhole, back waistline, and front sagging were performed. Through the third evaluation, the final pattern drafting method was developed by removing the front sagging added through the second evaluation. In the case of obese male body types in their 20s, a drafting method distinguished from the standard body type was required in the method of setting the front and back waist lines, back armhole darts, and front shoulder lines due to protruding and posture of the abdomen. This study was meaningful in that it presented a bodice prototype drafting method suitable for the 20s obese males. In the follow-up study, it is thought that actual clothing experiments and studies to develop clothing patterns by applying them to obese male tops in their 20s should be conducted.
  • 11.

    The Basic Research on Depression and Anxiety according to Stress Coping by Age Group

    Jung-Yeon Cho , Byeol-Nim Kang | 2022, 27(6) | pp.109~116 | number of Cited : 0
    Abstract PDF
    Before examining stress and physiological variables (immunity, inflammation), this study conducted a pilot test to provide basic data by analyzing depression and anxiety symptoms by age group for stress coping and coping methods. As a non-face-to-face method, BDI and STAI by age group (20s to 70s) and face-to-face survey were conducted concurrently and as follow-up surveys. In 20s to 60s, according to the coping method, there was a significant decrease after stress relief, and in all age groups, anxiety decreased significantly after stress relief, and in the 50s, stress coping with exercise was the lowest after stress relief. Based on the results of this study, through basic research according to psychological variables, physiological variables according to actual stress coping methods were further verified, and subjects with high stress levels were treated with long-term exercise therapy for depression and anxiety symptoms by exercise therapy. It will be necessary to additionally verify the appropriate stress coping method for each age group and subject, such as the correlation between improvement and immunity and inflammatory response.
  • 12.

    Vehicle control system base on the low power long distance communication technology(NB-IoT)

    Sam-Taek Kim | 2022, 27(6) | pp.117~122 | number of Cited : 0
    Abstract PDF
    In this paper, we developed a vehicle control terminal using IoT and low-power long-distance communication (NB-IoT) technology. This system collects information on the location and status of a parked vehicle, and transmits the vehicle status to the vehicle owner's terminal in real time with low power to prevent vehicle theft, and in the case of a vehicle in motion, When primary information about the vehicle, such as an impact, is collected and transmitted to the server, the server analyzes the relevant data to generate secondary information on traffic congestion, road damage, and safety accidents. By sending it, you can know the exact arrival time of the vehicle at its destination. This terminal device is an IoT gateway for a vehicle and can be connected to various wired and wireless sensors inside the vehicle. In addition, the data collected from vehicle maintenance, efficient operation, and vehicles can be usefully used in the private or public sector.
  • 13.

    Related Factors to Korean Hospital Nurses in Burnout during the COVID-19 outbreak: A Systematic Review

    SoonYoung Park | 2022, 27(6) | pp.123~130 | number of Cited : 0
    Abstract PDF
    In this paper, we propose a crucial issue to require further management plan for Korean hospital nurses in burnout during COVID-19 pandemic. The purpose of this study was to conduct a systematic review of factors related to hospital nurses in burnout for the COVID-19 outbreak. Appropriate studies in the recent three years were selected from database. To perform a systematic review, the databases of RISS, KISS, DBPIA, and Kyobo scholar were searched using the key words, ‛nurse in burnout’ or ‘burnout for nurse’. Fifty-five references were checked, but only seven studies were decided inclusion criteria to review. It was founded that Korean hospital nurses felt moderate or higher burnout level for COVID-19 pandemic. We were confirmed that related factors of hospital nurses in burnout were personal characteristics, physical symptom, depression, compassion satisfaction, compassion fatigue, and resilience, and occupational characteristics, shift work and job stress. It may be necessary to provide regulating programs for hospital nurses in burnout and to set up a policy and guidelines so as to reduce burnout of nurses working.
  • 14.

    Analysis of dental hygiene assessment data of recall patients (mainly 20s age)

    Hye-Jung Choi , Hee-Sun Woo | 2022, 27(6) | pp.131~137 | number of Cited : 0
    Abstract PDF
    As the age increases, the oral cavity, that is, the teeth and periodontium, also begin to age, and accordingly, a preparation process is required. The preparation process is an important period for oral health management to start continuously with oral health education consisting of knowledge, attitude, and behavior from the 20s. Therefore, to design a clinical dental hygiene course for patients who visited a dental clinic in Gyeonggi-do and received continuous care in an oral health care room after treatment, we tried to analyze the data of the dental hygiene assessment. As a dental hygiene assessment tool, based on personal information and general medical history, dental visit experience, bleeding on probing(BOP), bad breath measurement, phase contrast microscopy, and O’Leary index were performed. The number of subjects who had dental visits was 75.4% and those without experience were 24.6%, and as a result of the periodontal examination, generally bleeding was found in 76.3%. In preventive oral care, the stage of dental hygiene assessment in the 20s is an important first step. From this point on, it is an important time to be systematically habituated so that you can take responsibility for your own oral condition. Therefore, in this study, the results of dental hygiene assessment through oral examinations of subjects in their 20s are derived and presented as basic data for the development of dental hygiene performance competency of dental hygienists during the clinical dental hygiene process in oral health education and oral health management.
  • 15.

    The Analysis of the Relationship among Physical Activity Level, Subjective Health Status, COVID-19 Fear applying the Complex Sampling Design

    PARK, JAE-AHM | 2022, 27(6) | pp.139~147 | number of Cited : 0
    Abstract PDF
    This study tried to analyze the relationship among physical activity level, subjective health status, COVID-19 Fear. This study used the 2020 Community Health Survey that includes 229,269 survey data from adults over 19 years old. The complex sampling design was applied including weight, stratification, cluster variables. Through the SPSS statistics program with complex sampling frequency analysis, complex sampling Chi-square and complex sampling regression, this study found followings. First, the group with high level of physical activity showed higher level of subjective health status than the group with low level of physical activity. Second, the group with high level of physical activity showed lower level of COVID-19 fear than the group with low level of physical activity. Third, the group with high level of subjective health status showed lower level of COVID-19 fear than the group with low level of subjective health status. However, this study has the limitation that this study did not check whether participant is diagnosed with Covid-19 or not.
  • 16.

    An Article on the Development of Character during the Course of Training Nurses

    SoonYoung Park , Oh, Ho-Cheol | 2022, 27(6) | pp.149~155 | number of Cited : 0
    Abstract PDF
    In this paper, we propose the importance of character education in nursing curriculum. It is quite difficult to define what character is. It is solely because a person's character is very abstract yet comprehensive at the same time. Nevertheless, the East defines character as someone's personality that he or she is naturally born with. Someone's character contains two elements: what he or she was born with, a nature, and how the person has and is to become. The nature is difficult to change through education since one is born with such disposition. However, another half of one's character can be educated to be reformed and developed in the right manner. And this specific education is called character education. Today in Korea, education to cultivate one's character has become a cause celebre, especially when evaluating a nursing department's certification. To be a good nurse, one must not only be skillful but also has the ability to help others or make ethical and clinical judgments. Yet, most nursing departments in Korea out there are overwhelmingly focused on the curriculum related to obtaining licenses and to become a registered nurse. Thus, this is to suggest alleviating such a stress and expanding the curriculum for character education.
  • 17.

    Effects of Unstable Surface Core Exercise on Functional Movement, Balance and Pain in Sedentary Female Workers with Low Back Pain

    Yang-Ho Shin , Lee JinWook , Byun Yong-Hyun | 2022, 27(6) | pp.157~165 | number of Cited : 0
    Abstract PDF
    The purpose of this study was to determine whether unstable surface core exercise is more effective than stable surface core exercise on improving functional movement and balance and reducing pain in sedentary female workers with backpain. Participants were randomly assigned to an unstable surface core exercise(UEG; n=10) or a stable surface core exercise(SEG; n=10) group. They participated in the given exercise for 8 weeks. FMS, Y-Balance and VAS were measured before and after the participation in exercise, which were subjected to a repeated-measures ANOVA. In the case of a significant interaction between time and group, paired sample t-tests were conducted for a post hoc analysis within each subject group. Results indicated that FMS of the UEG had a significant effect on HS (p<.01), ASLR (p<.05) and TS(p<.001), but not for other variables. YBT did not show a significant effect for any variable (AT, PL, PM, TS), although the main effect of time was significant in both subject groups. VAS had a significant effect only in the UEG(p<.001). Our findings indicate that compared to SEG, UEG is more effective for improving functional movement and reducing pain, but not for improving balance, in sedentary female workers with backpain.
  • 18.

    Testing the Equality of Several Correlation Coefficients by Permutation Method

    Yonghwan Um | 2022, 27(6) | pp.167~174 | number of Cited : 0
    Abstract PDF
    In this paper we investigate the permutation test for the equality of correlation coefficients in several independent populations. Permutation test is a non-parametric testing methodology based upon the exchangeability of observations. Exchangeability is a generalization of the concept of independent, identically distributed random variables. Using permutation method, we may construct asymptotically exact test. This method is asymptotically as powerful as standard parametric tests and is a valuable tool when the sample sizes are small and normality assumption cannot be met. We first review existing parametric approaches to test the equality of correlation coefficients and compare them with the permutation test. At the end, all the approaches are illustrated using Iris data example.
  • 19.

    Development of Business Models using Maritime Data

    Sangseop Lim , So-Hyun Jo , Changhee Lee | 2022, 27(6) | pp.175~180 | number of Cited : 0
    Abstract PDF
    Data is an important resource to expect new value as 21st-century crude oil. In the shipping industry, despite the existence of numerous maritime data accumulated through ship operations, it was negligent in developing a business model with the data. This paper identified major demand sources and demand types based on the type and availability of maritime data surveyed through interviews with experts in the shipping industry and academia. Considering the characteristics and demands of these maritime data, this paper presented a private-type and public-interest business model. In the case of the private-type model, it creates additional added value by using maritime data and uses mainly ship internal data. The public-type model is to seek public safety and social benefits and mainly uses external data. A great synergy effect can be expected when combined with public services such as maritime survey, vessel traffic service, maritime environment management, and meteorological service. This study is expected to contribute greatly to the spread of the proposed business models throughout the shipping industry.
  • 20.

    A Study of College Students Local Volunteering Activity Making Use of Software Creativity Donation

    KyungHee Lee | 2022, 27(6) | pp.181~188 | number of Cited : 0
    Abstract PDF
    This study analyzed the effectiveness of sharing activities through software creative sharing classes. The purpose is to find a way for related activities to be carried out continuously. For this study, pre and post were test on changes in self-esteem, responsibility, and sense of community targeting 25 university students in Chungnam. The collected data were analyzed with SPSS 24. The results derived from this study are as follows. First, the self-esteem was significantly higher after the software creative sharing class than before. Second, the responsibility was significantly higher after the software creative sharing class compared to the prior. Third, the sense of community was found to be significantly higher after the software creative sharing class than before. Therefore, it was found that the software creative sharing class had a positive effect on self-esteem responsibility and sense of community. Based on these data, a method to expand continuous participation in talent sharing was suggested.