Korean | English

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

Home > Explore Content > All Issues > Article List

2019, Vol.24, No.12

  • 1.

    A Text Sentiment Classification Method Based on LSTM-CNN

    Guangxing Wang , SeongYoon Shin , Lee, Won Joo | 2019, 24(12) | pp.1~7 | number of Cited : 2
    Abstract PDF
    With the in-depth development of machine learning, the deep learning method has made great progress, especially with the Convolution Neural Network(CNN). Compared with traditional text sentiment classification methods, deep learning based CNNs have made great progress in text classification and processing of complex multi-label and multi-classification experiments. However, there are also problems with the neural network for text sentiment classification. In this paper, we propose a fusion model based on Long-Short Term Memory networks(LSTM) and CNN deep learning methods, and applied to multi-category news datasets, and achieved good results. Experiments show that the fusion model based on deep learning has greatly improved the precision and accuracy of text sentiment classification. This method will become an important way to optimize the model and improve the performance of the model.
  • 2.

    Deep Learning Based Tree Recognition rate improving Method for Elementary and Middle School Learning

    Jung-Eun Choi , Hwanseung Yong | 2019, 24(12) | pp.9~16 | number of Cited : 2
    Abstract PDF
    The goal of this study is to propose an efficient model for recognizing and classifying tree images to measure the accuracy that can be applied to smart devices during class. From the 2009 revised textbook to the 2015 revised textbook, the learning objective to the fourth-grade science textbook of elementary schools was added to the plant recognition utilizing smart devices. In this study, we compared the recognition rates of trees before and after retraining using a pre-trained inception V3 model, which is the support of the Google Inception V3. In terms of tree recognition, it can distinguish several features, including shapes, bark, leaves, flowers, and fruits that may lead to the recognition rate. Furthermore, if all the leaves of trees may fall during winter, it may challenge to identify the type of tree, as only the bark of the tree will remain some leaves. Therefore, the effective tree classification model is presented through the combination of the images by tree type and the method of combining the model for the accuracy of each tree type. I hope that this model will apply to smart devices used in educational settings.
  • 3.

    An Automatic Data Construction Approach for Korean Speech Command Recognition

    Yeonsoo Lim , Deokjin Seo , Park, Jeong-Sik and 1 other persons | 2019, 24(12) | pp.17~24 | number of Cited : 0
    Abstract PDF
    The biggest problem in the AI field, which has become a hot topic in recent years, is how to deal with the lack of training data. Since manual data construction takes a lot of time and efforts, it is non-trivial for an individual to easily build the necessary data. On the other hand, automatic data construction needs to handle data quality issue. In this paper, we introduce a method to automatically extract the data required to develop Korean speech command recognizer from the web and to automatically select the data that can be used for training data. In particular, we propose a modified ResNet model that shows modest performance for the automatically constructed Korean speech command data. We conducted an experiment to show the applicability of the command set of the health and daily life domain. In a series of experiments using only automatically constructed data, the accuracy of the health domain was 89.5% in ResNet15 and 82% in ResNet8 in the daily lives domain, respectively.
  • 4.

    Evolutionary Optimization of Neurocontroller for Physically Simulated Compliant-Wing Ornithopter

    Yoonsik Shim | 2019, 24(12) | pp.25~33 | number of Cited : 0
    Abstract PDF
    This paper presents a novel evolutionary framework for optimizing a bio-inspired fully dynamic neurocontroller for the maneuverable flapping flight of a simulated bird-sized ornithopter robot which takes advantage of the morphological computation and mechansensory feedback to improve flight stability. In order to cope with the difficulty of generating robust flapping flight and its maneuver, the wing of robot is modelled as a series of sub-plates joined by passive torsional springs, which implements the simplified version of feathers attached to the forearm skeleton. The neural controller is designed to have a bilaterally symmetric structure which consists of two fully connected neural network modules receiving mirrored sensory inputs from a series of flight navigation sensors as well as feather mechanosensors to let them participate in pattern generation. The synergy of wing compliance and its sensory reflexes gives a possibility that the robot can feel and exploit aerodynamic forces on its wings to potentially contribute to the agility and stability during flight. The evolved robot exhibited target-following flight maneuver using asymmetric wing movements as well as its tail, showing robustness to external aerodynamic disturbances.
  • 5.

    Hologram based Internet of Signage Design Using Raspberry Pi

    Timur Khudaybergenov , Jungdo Han , Jae Sang Cha | 2019, 24(12) | pp.35~41 | number of Cited : 0
    Abstract PDF
    This paper propose design of remotely controllable hologram based interactive signage. General idea is organization of work of hologram signage through using Raspberry Pi hardware platform and Intel realsense r200 for interaction opportunity. Remote content management is based on Screenly software solution. Open CV based solutions are used for content controlling on the spectators side. Represented work describe of using of the 3D content rendering algorithm based on 3D gaming technology Unity 5. An experimental model was carried out with the purpose of IoS designing, to 3D data visualization and to introduce a new method for visualizing and displaying 3D data on a hologram pyramid signage. Description of working model of hologram signage is given in this paper.
  • 6.

    DTDMA Procedure design of Tactical Data Link

    Jin Woo Kim , Woo-sin Lee , Hack-joon Kim and 2 other persons | 2019, 24(12) | pp.43~50 | number of Cited : 2
    Abstract PDF
    In this paper, we designed a dynamic TDMA scheme for smooth tactical data distribution in TDMA tactical datalinks. Since the existing tactical datalinks use fixed time radio resources, it is impossible to change the resource status according to network conditions during operation. To overcome these limitations, we designed, implemented, and simulated the DTDMA processing and related messages such as initial timeslot allocation, intermediate time slot allocation, time slot return, and timeslot retrieval. As a result, it was shown that the method of effectively allocating and using timeslot resources according to the situation is applicable. Therefore, we will continue research to manage DTDMA communication on tactical data link in the future.
  • 7.

    Performance Analysis of Implementation on IoT based Smart Wearable Mine Detection Device

    kim chi wook | 2019, 24(12) | pp.51~57 | number of Cited : 0
    Abstract PDF
    In this paper, we analyzed the performance of IoT based smart wearable mine detection device. There are various mine detection methods currently used by the military. Still, in the general field, mine detection is performed by visual detection, probe detection, detector detection, and other detection methods. The detection method by the detector is using a GPR sensor on the detector, which is possible to detect metals, but it is difficult to identify non-metals. It is hard to distinguish whether the area where the detection was performed or not. Also, there is a problem that a lot of human resources and time are wasted, and if the user does not move the sensor at a constant speed or moves too fast, it is difficult to detect landmines accurately. Therefore, we studied the smart wearable mine detection device composed of human body antenna, main microprocessor, smart glasses, body-mounted LCD monitor, wireless data transmission, belt type power supply, black box camera, which is to improve the problem of the error of mine detection using unidirectional ultrasonic sensing signal. Based on the results of this study, we will conduct an experiment to confirm the possibility of detecting underground mines based on the Internet of Things (IoT). This paper consists of an introduction, experimental environment composition, simulation analysis, and conclusion. Introduction introduces the research contents such as mines, mine detectors, and research progress. It consists of large anti-personnel mine, M16A1 fragmented anti-mine, M15 and M19 antitank mines, plastic bottles similar to mines and aluminum cans. Simulation analysis is conducted by using MATLAB to analyze the mine detection device implementation performance, generating and transmitting IoT signals, and analyzing each received signal to verify the detection performance of landmines. Then we will measure the performance through the simulation of IoT-based mine detection algorithm so that we will prove the possibility of IoT-based detection landmine.
  • 8.

    Vision-based Authentication and Registration of Facial Identity in Hospital Information System

    Seok Chan Bae , Yonsik Lee , Choi Seon Woong | 2019, 24(12) | pp.59~65 | number of Cited : 2
    Abstract PDF
    Hospital Information System includes a wide range of information in the medical profession, from the overall administrative work of the hospital to the medical work of doctors. In this paper, we proposed a Vision-based Authentication and Registration of Facial Identity in Hospital Information System using OpenCV. By using the proposed security module program a Vision-based Authentication and Registration of Facial Identity, the hospital information system was designed to enhance the security through registration of the face in the hospital personnel and to process the receipt, treatment, and prescription process without any secondary leakage of personal information. The implemented security module program eliminates the need for printing, exposing and recognizing the existing sticker paper tags and wristband type personal information that can be checked by the nurse in the hospital information system. In contrast to the original, the security module program is inputted with ID and password instead to improve privacy and recognition rate.
  • 9.

    Design and Implementation of a Big Data Analytics Framework based on Cargo DTG Data for Crackdown on Overloaded Trucks

    Bum-Soo Kim | 2019, 24(12) | pp.67~74 | number of Cited : 1
    Abstract PDF
    In this paper, we design and implement an analytics platform based on bulk cargo DTG data for crackdown on overloaded trucks. DTG(digital tachograph) is a device that stores the driving record in real time; that is, it is a device that records the vehicle driving related data such as GPS, speed, RPM, braking, and moving distance of the vehicle in one second unit. The fast processing of DTG data is essential for finding vehicle driving patterns and analytics. In particular, a big data analytics platform is required for preprocessing and converting large amounts of DTG data. In this paper, we implement a big data analytics framework based on cargo DTG data using Spark, which is an open source-based big data framework for crackdown on overloaded trucks. As the result of implementation, our proposed platform converts real large cargo DTG data sets into GIS data, and these are visualized by a map. It also recommends crackdown points.
  • 10.

    Multi Function Console display configuration and HCI design to improve Naval Combat System operability

    Dae-Young Park , Dong-Han Jung , Moon-Seok Yang | 2019, 24(12) | pp.75~84 | number of Cited : 0
    Abstract PDF
    The Naval Combat System has several equipment needed to operate the system, such as radar equipment, underwater sensor equipment, guns and missile control and armed control equipment, and a multi function console is configured to control it. The multi function console is equipped with HCI(Human Computer Interaction)-based software for displaying the status information of equipment and controlling equipment, and the operator uses the installed software to operate the Naval Combat System. However, when operating a Naval Combat System for a long time, there are problems such as physical discomfort caused by the structure of the multi function console display and increase in fatigue of the person who operates various and complicated user interface configuration. These issues are important factors in reducing Naval Combat System operability. In order to solve these issues, in this paper, based on a questionnaire survey conducted for Naval Combat System development personnel, multi function console screen design to reduce physical discomfort and HCI design to reduce fatigue and increase intuition are proposed. The proposed design is expected to provide convenience to future Naval Combat System operators and improve operation over existing Naval Combat System.
  • 11.

    A Formal Specification and Meta-Model for Development of Cooperative Collection·Analysis Framework

    Eun-Sook Cho , Chee-Yang Song | 2019, 24(12) | pp.85~92 | number of Cited : 1
    Abstract PDF
    Companies can identify user groups or consumption trends by collecting and analyzing opinions of many users on special subjects or their products as well as utilize them as various purposes such as predicting some specific trends or marketing strategies. Therefore current analyzing tools of social media have come into use as a means to measure the performances of social media marketing through network’s statistical analysis. However these tools require expensive computing and network resources including burden of costs for building up and operating complex software platforms and much operating know-how. Hence, small companies or private business operators have difficulty in utilizing those social media data effectively. This paper proposes a framework applied into developing analysis system of social media. The framework could be set up and operate the system to extract necessary social media’s data. Also to design the system, this study suggests a meta-model of proposed framework and to guarantee completeness and consistency, a formal specification of meta-model by using Z language is suggested. Finally, we could verify the clearness of framework’s design by performing Z model checking of formal specification’s output through Z-EVES tool.
  • 12.

    Using Genre Rating Information for Similarity Estimation in Collaborative Filtering

    Soojung Lee | 2019, 24(12) | pp.93~100 | number of Cited : 1
    Abstract PDF
    Similarity computation is very crucial to performance of memory-based collaborative filtering systems. These systems make use of user ratings to recommend products to customers in online commercial sites. For better recommendation, most similar users to the active user need to be selected for their references. There have been numerous similarity measures developed in literature, most of which suffer from data sparsity or cold start problems. This paper intends to extract preference information as much as possible from user ratings to compute more reliable similarity even in a sparse data condition, as compared to previous similarity measures. We propose a new similarity measure which relies not only on user ratings but also on movie genre information provided by the dataset. Performance experiments of the proposed measure and previous relevant measures are conducted to investigate their performance. As a result, it is found that the proposed measure yields better or comparable achievements in terms of major performance metrics.
  • 13.

    Subjectivity study on the perception types of body shape in the pregnant women

    Su-Joung Cha | 2019, 24(12) | pp.101~108 | number of Cited : 2
    Abstract PDF
    The purpose of this study was to investigate the subjective evaluation and the characteristics of each type of maternal self-awareness. It was to provide the basic data necessary for the development of clothing that can improve the satisfaction of the body shape of pregnant women. This study was conducted with Q methodology, and was performed for pregnant women over 6 months. Analysis was done with QUANL program. The recognition types of body shape of pregnant women was analyzed as three types: thin limbs and central hemispherical abdominal body shape, under abdomen protruding body shape, and thick upper arm and central abdomen protruding body shape. The thin limbs and central hemispherical abdominal body shape were considered to be normal, with the lowest BMI index before pregnancy. And the limbs were thin and the other parts were not overweight, but recognized that only the belly came out. The under abdomen protruding body shape was overweight with the highest BMI index before pregnancy. In addition to the circumference of the chest and hips, the body was gaining weight and was perceived to have a belly drooping down. The thick upper arm and central abdomen protruding body shape recognized that the middle part of the abdomen protruded like the first type, but it was different from the first type because the upper arm was thickened. In the future study, it would be a meaningful study to compare and analyze the difference with the recognition body of this study through analyzing the actual body shape of pregnant women.
  • 14.

    The Effects of Social Support Perceived by Career-interrupted Women On Career Preparation Behavior: Focus on Mediating Effects of Career Decision Self-efficacy

    Lee Sook Ja | 2019, 24(12) | pp.109~117 | number of Cited : 6
    Abstract PDF
    This study analyzed the effects of social support and career decision self-efficacy that can have effects on career based on career-interrupted women's perception on career preparation behaviors and mediating effects of the career decision self-efficacy. This study surveyed 227 career-interrupted women who participated in job training or registered for job searching in woman employment support organizations using a self-reported type questionnaire. The results are presented: First, social support was found to have a significant correlation with career decision self-efficacy and career preparation behavior. Second, discovered that emotional support as sub-factors of social support had a significant effect on career preparation behaviors. Third, discovered that goal setting and job information as sub-factors of career decision self-efficacy had a significant effect on career preparation behaviors. Fourth, career decision self-efficacy, there was a partial mediating effect between social support and career preparation behaviors. The results presented above suggested that in respect to career guidance for career-interrupted women, a focus should be given to psychological aspects than technological.
  • 15.

    Design and Implementation of an IoT Device for the Effective Screening of Dementia and Mild Cognitive Impairment

    Hansoo Kim | 2019, 24(12) | pp.119~126 | number of Cited : 4
    Abstract PDF
    Korea is rapidly becoming an aging society due to lower birth rate and longer life expectancy. As elderly diseases are of a serious concern, the number of patients with dementia has been increasing significantly. For now, it has become a nationwide problem, as dementia is difficult to manage and requires a lot of social costs. To solve this, an IoT device has been devised that efficiently screens Mild Cognitive Impairment(MCI), the early stage of dementia. To design and implement the device, the latest IoT technology is introduced, the optimized Korean Version of Hasegawa Dementia Scale Revised(K-HDS) is utilized, and convenient service scenario with user-friendly design is applied. As a result, the symptoms of MCI have been screened quickly with convenient operation, which lead to the healthier society by the prevention of dementia.
  • 16.

    The Image Processing System for Volume Gains Rate Measurement of Pigs

    Ho-Young Kwak , Jin-Wook Chang | 2019, 24(12) | pp.127~134 | number of Cited : 0
    Abstract PDF
    In this paper, we designed and implemented a system for automatically measuring pig growth rate using image. Pig breeding is a very important factor because the breeding rate of pigs is directly linked to the rancher's economic interests in order to raise them in livestock farms. Therefore, there is a demand for a method for easily measuring the growth rate of each pig. As a method for this, an image analysis algorithm for measuring the growth rate of pigs is presented by taking a plan view of the pig. In addition, the proposed algorithm was implemented to measure the surface area of swine and to express it as the rate of gain. The proposed method in this paper makes it possible to easily measure the individual growth rate of pigs to meet the needs of farmers. In the future, we will improve the algorithm to calculate the volume so that the same value as the actual measurement can be obtained.
  • 17.

    Development of the Insect Smart Farm System for Controlling the Environment of Protaetia brevitarsis seulensis

    Si-Young Rho , Jinho Won , Jaesu Lee and 3 other persons | 2019, 24(12) | pp.135~141 | number of Cited : 6
    Abstract PDF
    In this study, the "Insect Smart Farm Air Conditioning System" is designed and proposed for the control of breeding environment of Protaetia brevitarsis seulensis larvae. The proposed "Insect Smart Farm Air Conditioning System" separates the breeding room from the air conditioning room. It is a system that creates an environment optimized for breeding and distributes it into a breeding room. When controlling the environment through air-conditioning and humidifiers in insect farms, temperature and humidity vary from part of the breeding room to part. The solution to the problem can be suggested as a solution to the difficulty of producing white-spotted flower mounds of uniform size and weight when selling edible insects. By using the "Insect Smart Farm Air Conditioning System," the temperature difference can be reduced by 6°C and the humidity difference by 24.7% compared to the environmental control of existing insect farms. The temperature and humidity of different parts of the breeding room were improved. Provide the optimal environment of Protaetia brevitarsis seulensis larvae at all times and ensure uniform CO2 concentration. It can be expected to increase output through annual production and increase income for insect farmers. The proposed "Insecting Smart Farm Air Conditioning System" also controls the set temperature, humidity and CO2. Environmental control of the breeding of other edible insects and the reproduction of mushrooms that require environmental control in breeding or breeding will also be possible.
  • 18.

    The Study on the Effectiveness and Satisfaction of the ‘Disaster Safety and On-Site Emergency Management’ weekend course in the High School-University affiliated career experience activities

    Yun Hyeong Wan , Jung, JiYeon , Jung Eun-kyung | 2019, 24(12) | pp.143~149 | number of Cited : 0
    Abstract PDF
    This study investigates the satisfaction of students who participated in ‘Disaster Safety and On-Site Emergency Management’ weekend course, the high school-university affiliated program, to provide the basic data on university’s major linked program developing and teaching methods. 98 high school students attended the courses at D General high school and B University in North Jeonlla Province. Among the participants, 52%(51 students) were sophomores, while 56.1%(55 students) were male and 43.9%(43 students) were female. The collected data was analyzed by using the SPSS statistics version 21.0 program. 80.6%(79 students) among the participants chose the weekend course program by themselves, 85.7%(84 students) were with clear motivation and goal, and 42.9%(42 students) answered “so interested studying Emergency at a college in the future” The most important reasons to choose this program are as follows: score 4.68 for ‘the degree to which the useful program for youth’, score 4.58 for ‘the leader’s expertise’, and score 4.53 for ‘reflecting the opinion of youth.’ After the program’s experience, the ‘certificate for cardiopulmonary resuscitation’ was the most important and the most satisfactory with score 4.78 and score 4.83 respectively. As the university career program using various job experience can be a meaningful experience that enhance the level of career status and career decisions of high school students, this program will strengthen the affiliation between high school and university curriculum and establish the sufficient national social system environment.
  • 19.

    A Survey on the Performance Ability of Cardiopulmonary Resuscitation of Physical Therapists

    Kim gyoungmo , Kim In Seob , Taek-gil Nam and 1 other persons | 2019, 24(12) | pp.151~155 | number of Cited : 0
    Abstract PDF
    The purpose of this study is to investigate the knowledge and performance ability of cardiopulmonary resuscitation (CPR) of physical therapist. A total of 105 physical therapists participated in this study. All participants were responded a self-administered method questionnaire to investigate the knowledge of CPR, and measured on their performance ability of CPR by Braden Pro application. We identified the performance ability of CPR and compared between educated and uneducated group. Among the 7 items on the knowledge of CPR questionnaire, educated group scored higher than uneducated group in Sequence of CPR, Ratio of compression and ventilation, Position of hands for chest compressions, Compression rate of chest and Ventilation volume. However, Depth of chest compressions and Airway maneuver were scored higher in uneducated group. The performance ability of CPR was not significantly different between two groups. However, Compression rate of chest was higher than guideline of CPR in both groups. There were inconsistent results between the knowledge and performance ability of CPR whether educated or not. This study suggests that it needs to provide repeated educations that improve knowledge and performance ability of CPR in physical therapists.
  • 20.

    The Continuity of Operation (COOP) Application to a Local Government for Disaster Risk Reduction

    Youngjin Jang , Won-joon Wang , Jae-Wook Jung and 1 other persons | 2019, 24(12) | pp.157~166 | number of Cited : 2
    Abstract PDF
    Globally, various disasters such as typhoons, floods, earthquakes, fires, explosions have caused work to be halted. If there is a large-scale disaster at public institutions in charge of major national affairs and their works are interrupted, not only will there be property damage, but there will also lead to a decline in national credibility and direct and indirect impacts on the people. Therefore, it is necessary to ensure continuity of operation by minimizing the interruption period of critical operations due to disasters. Overseas advanced countries such as the United States and Japan developed guidelines for Continuity of Operation (COOP) to prevent unexpected work disruptions caused by disasters. Recognizing the necessity of COOP in South Korea, a relevant law has been newly established in 「the Framework Act on the Management of Disasters and Safety」 to enable public institutions to establish the COOP in response to this situation. In this study, the definition, the necessity and overseas cases of COOP were investigated and described. Using the templates developed by these results, operational impact analysis, risk assessment, operational continuity strategies and operational continuity procedures were applied to “A” City Hall in Gyeonggi-do province and those results were described. The objective of this study is to substantially contribute to the introduction of COOP to local governments through their pilot application and implications of COOP.
  • 21.

    A Study on Factors Influencing Youth Drinking Using Binomial Logistic Regression

    Eun-ji Kim , Bang Sung A , Eun-sug Seo | 2019, 24(12) | pp.167~174 | number of Cited : 0
    Abstract PDF
    The purpose of this study was to analyze the factors affecting the drinking behavior of adolescents. Based on this, it aims to suggest the practical and policy measures to prevent the drinking behavior of adolescents and to mediate / reduce them. We used binomial logistic analysis as an analysis method.As a result of this study, the individual factors affecting alcohol drinking were gender, smoking experience over the past year, sexual satisfaction, cyber delinquency, self-esteem, parental abuse, peer as family factors. Peer trust was significantly associated with attachment factors, and school adaptation factors were not found to be associated with alcohol drinking in adolescents. This suggests that multilateral efforts such as individuals, families, and communities are needed to mediate and reduce the drinking behavior of adolescents.
  • 22.

    A Study on the Perception of Cyber Money Quality by Individual Characteristics

    Jongsoo Yoon , Gimun Kim | 2019, 24(12) | pp.175~182 | number of Cited : 0
    Abstract PDF
    While there have been lots of researches on the use of cyber money in online business area, few studies suggested the results on relationship between individual characteristics, including demographic and cyber money usage characteristics, and quality factors of cyber money. Therefore, this study investigates which quality factors of cyber money are perceived to be important, and examines whether the perception of cyber money quality will vary by individual characteristics such as gender, age, cyber money usage frequency, and cyber money usage volume. The results show, based on the statistical analyses using survey questionnaire for cyber money users living in the Seoul metropolitan area, that there are differences in perception of required quality factors of cyber money among the respondents grouped by gender, age, and usage frequency of cyber money. This study could propose a variety of implications for future researches on the use of cyber money in online business areas of home and abroad.
  • 23.

    Imagination into Reality – Artificial Intelligence (AI) Marketing Changes

    Lee Jin Hee | 2019, 24(12) | pp.183~189 | number of Cited : 2
    Abstract PDF
    After the fourth industrial revolution, a business that utilizes Artificial Intelligence (AI) is expanding centered around IT industries and it is expected that the quality of AI services will improve. This study aims to examine changes in marketing through the advance and development of AI and to establish and apply marketing strategies to respond to future market changes. Based on existing data, the development of AI technology was examined and looked into changes in marketing and counter strategies through cases overseas and South Korea. Artificial Intelligence technology has a close impact on our lives, changing our lives, and thus changing consumer patterns, perceptions, and consumer culture. In the future, innovative changes in AI technologies will require government policies, the vision of the corporation, and it is necessary to establish longer-term success strategies. Collaboration between companies and industries is also important.
  • 24.

    A Study on Development of the Digital Competence Measurement Tool for University Student

    Dong-Man Kim , Lee Taewuk | 2019, 24(12) | pp.191~199 | number of Cited : 5
    Abstract PDF
    In this paper, we propose to develop a diagnosis tool for measuring digital competence for university student. To this end, 223 students participated for the survey research. Based on the survey by 6 domain and 40 questions, 6 factors and 18 questions for digital competence measurement were drawn throughout the factors analysis. The results of the confirmatory factor analysis showed the fact that 6 factors and 18 questions that satisfied the model-fit indexes statistically were finally confirmed. And the developed tool demonstrated good results in reliability and validity verification, which were suitable for measuring digital competence for university students. The developed measurement tool of digital competence for university students consisted of 6 sub-components such digital device operation, communication and collaboration, information searching, processing, and management, problem solving and learning, security, digital ethics. The digital competence measuring tool developed in this study is expected to be used to identify the current level of competences for university student, and to enhance their own digital competences through educational supports.
  • 25.

    An Effective Method for Blocking Illegal Sports Gambling Ads on Social Media

    Ji-A Kim , Geum-Boon Lee | 2019, 24(12) | pp.201~207 | number of Cited : 3
    Abstract PDF
    In this paper, we propose an effective method to block illegal gambling advertisement on social media. With the increase of smartphone and internet usage, users can easily access various information while sharing information such as text and video with a large number of others. In addition, illegal sports gambling advertisements are also continue to be transmitted on SNS. To avoid most surveillance networks, users are easily exposed to illegal sports gambling advertisement images by including phrases in the images that indicate illegal sports gambling advertisements. In order to cope with these problems, we proposed a method to actively block illegal sports gambling advertisements in a way different from the conventional passive methods. In this paper, we select words frequently used for illegal sports gambling, classifies them into three groups according to their importance, calculate WF for each word using weighted formula by degree of relevance and frequency, and then sum the WF of the words in the image. Blocking, warning, and passing were determined by cu, the total of WF. Experimenting with the proposed method, 193 out of 200 experimental images were correctly judged with 96.5% accuracy, and even though 7 images were illegal sports gambling advertisements. Further research is needed to block 3.5% of illegal sports betting ads that cannot be blocked in the future.
  • 26.

    Development of Software Education Program Using Robot for Students with Developmental Disorder

    Kim Jeong Rang | 2019, 24(12) | pp.209~216 | number of Cited : 4
    Abstract PDF
    In view of the educational effects and social changes of software education, equal opportunities for software education are needed regardless of general students and students with disabilities. However, studies on software education for general students have been actively conducted, but studies on software education for students with disabilities are insufficient. In this study, we developed a robot education software education program for students with developmental disabilities. Developing robot-enabled software education programs for students with developmental disabilities is meaningful in terms of expanding software education opportunities for all. In addition, the robot-based software education program is easy to motivate students with developmental disabilities with low task concentration, short-term memory, and low sociality. Significant changes will be made not only in terms of management capacity, but also in terms of self-efficacy and confidence.