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

2020 KCI Impact Factor : 0.4
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2017, Vol.22, No.1

  • 1.

    A Method of Tracking Object using Particle Filter and Adaptive Observation

    Kim Hyoyeon | Kim Kisang | HYUNG IL CHOI | 2017, 22(1) | pp.1~7 | number of Cited : 0
    Abstract PDF
    In this paper, we propose an efficient method that is tracking an object in real time using particle filter and adaptive observation model. When tracking object, it happens object shape variation by camera or object movement in variety environments. The traditional method has an error of tracking from these variation, because it has fixed observation model about the selected object by the user in the initial frame. In order to overcome these problems, we propose a method that updates the observation model by calculating the similarity between the used observation model and the eight-way of edge model from the current position. If the similarity is higher than the threshold value, tracking the object using updated observation model to reset observation model. On the contrary to this, the algorithm which consists of a process is to maintain the used observation model. Finally, this paper demonstrates the performance of the stable tracking through comparison with the traditional method by using a number of experimental data.
  • 2.

    The Classification of Music Styles on the Basis of Spectral Contrast Features

    Yan-bing Wang | 2017, 22(1) | pp.9~14 | number of Cited : 0
    Abstract PDF
    In this paper, we propose that the contrast features of octave spectrum can be used to show spectral contrast features of some music clips. It shows the relative spectral distribution rather than average spectrum. From the experiment, it can be seen the method of spectral contrast features has a good performance in classification of music styles. Another comparative experiment shows that the method of spectral contrast features can better distinguish different music styles than the method of MFCC features that commonly used previously in the classification system of music styles.
  • 3.

    Intelligent missing persons index system Implementation based on the OpenCV image processing and TensorFlow Deep-running Image Processing

    BAEK, Yeong Tae | SeHoon Lee | Ji-Seong Kim | 2017, 22(1) | pp.15~21 | number of Cited : 2
    Abstract PDF
    In this paper, we present a solution to the problems caused by using only text - based information as an index element when a commercialized missing person indexing system indexes missing persons registered in the database. The existing system could not be used for the missing persons inquiry because it could not formalize the image of the missing person registered together when registering the missing person. To solve these problems, we propose a method to extract the similarity of images by using OpenCV image processing and TensorFlow deep - running image processing, and to process images of missing persons to process them into meaningful information. In order to verify the indexing method used in this paper, we constructed a Web server that operates to provide the information that is most likely to be needed to users first, using the image provided in the non - regular environment of the same subject as the search element.
  • 4.

    Subgroup Discovery Method with Internal Disjunctive Expression

    Seyoung Kim | RYU, KWANG RYEL | 2017, 22(1) | pp.23~32 | number of Cited : 0
    Abstract PDF
    We can obtain useful knowledge from data by using a subgroup discovery algorithm. Subgroup discovery is a rule model learning method that finds data subgroups containing specific information from data and expresses them in a rule form. Subgroups are meaningful as they account for a high percentage of total data and tend to differ significantly from the overall data. Subgroup is expressed with conjunction of only literals previously. So, the scope of the rules that can be derived from the learning process is limited. In this paper, we propose a method to increase expressiveness of rules through internal disjunctive representation of attribute values. Also, we analyze the characteristics of existing subgroup discovery algorithms and propose an improved algorithm that complements their defects and takes advantage of them. Experiments are conducted with the traffic accident data given from Busan metropolitan city. The results shows that performance of the proposed method is better than that of existing methods. Rule set learned by proposed method has interesting and general rules more.
  • 5.

    Commercial Indoor Navigation System Technology Movement

    Jae-Min Seo | Jang, Beakcheol | 2017, 22(1) | pp.33~40 | number of Cited : 3
    Abstract PDF
    In this paper, we introduce commercial indoor navigation systems being deployed and serviced in many fields of industry focusing on their indoor positioning technologies. Indoor positioning technology is a technology that locates people or targets in the interior of a building. To do that, it utilizes radio waves such as WiFi, and bluetooth, magnetic fields, or other sensory information from smart phones. We present indoor navigation systems categorizing them into their indoor positioning technologies. We define important performance issues for indoor positioning technologies and analyze them according to the performance issues. We believe that this paper provide wise view and necessary information for recent indoor navigation systems.
  • 6.

    Development of GIS-based Regional Crime Prevention Index to Support Crime Prevention Activities in Urban Environments

    Sang-Muk Seok | Hoe-Yun Kwon | Ki-Sung Song and 2other persons | 2017, 22(1) | pp.41~48 | number of Cited : 0
    Abstract PDF
    In this study, we proposed GIS-based Regional Crime Prevention Index (RCPI) development method designed to support local governments with systematic crime prevention activities. The public interest in safe urban environment is increasing rapidly. The government is putting efforts into crime prevention activities to eliminate the criminal opportunities in advance. CPTED is method to prevent crimes in the city by improving environmental factors that cause crime. It is used by local governments to promote the crime prevention activities centering on the expansion of CCTVs and street lamps and the improvement of street environment. However, most policies were terminated as one-off programs and it is necessary to monitor the effect of such policies on a continuous basis. In order to alleviate issues, this study proposed RCPI as part of crime safety assessment in urban environments. The estimation of RCPI in City A of Gyeonggi-do showed relative differences in 31 districts (dong), indicating that it is also possible to evaluate the crime safety in the local community on the level of the administrative dong, the smallest administrative district in the urban environments. As a crime map, the RCPI will be used effectively as he reference to support the decision making process for local government in the future.
  • 7.

    Research on Big Data Integration Method

    Kim, JeeHyun | Young Im Cho | 2017, 22(1) | pp.49~56 | number of Cited : 0
    Abstract PDF
    In this paper we propose the approach for big data integration so as to analyze, visualize and predict the future of the trend of the market, and that is to get the integration data model using the R language which is the future of the statistics and the Hadoop which is a parallel processing for the data. As four approaching methods using R and Hadoop, ff package in R, R and Streaming as Hadoop utility, and Rhipe and RHadoop as R and Hadoop interface packages are used, and the strength and weakness of four methods are described and analyzed, so Rhipe and RHadoop are proposed as a complete set of data integration model. The integration of R, which is popular for processing statistical algorithm and Hadoop contains Distributed File System and resource management platform and can implement the MapReduce programming model gives us a new environment where in R code can be written and deployed in Hadoop without any data movement. This model allows us to predictive analysis with high performance and deep understand over the big data.
  • 8.

    Design of Children and Adolescent's Parents for oral health convergence education App in Mobile Environments

    Kim,SeokHun | Woo Hee Sun | 2017, 22(1) | pp.57~62 | number of Cited : 1
    Abstract PDF
    Children need oral care according to their developmental stage and accordingly, the appropriate dental treatment is different, which requires parents to have an active attitude and the applicable oral knowledge. As there is so much unreliable oral care information and PR, it is hard to find accurate information and parents are in need of a preventative oral healthcare mobile application for healthy oral care. Also, pediatric adolescent care should be focused on prevention rather than treatment and children should be instructed and educated to eat cariogenic foods as little as possible as well as told to brush before going to bed. This study designed a smart application for oral health care education to provide information and knowledge regarding oral health care for infants, oral health education, and oral health care prevention for parents of young children.
  • 9.

    Mixer design for improving the injection uniformity of the reduction agent in SCR system

    Hwang Woohyeon | LEE. KYUNG OK | 2017, 22(1) | pp.63~69 | number of Cited : 2
    Abstract PDF
    In this paper, we propose a method to optimize the geometry and installation position of the mixer in the selective catalytic reduction (SCR) system by computational fluid dynamic(CFD). Using the commercial CFD software of CFD-ACE+, the flow dynamics of the flue gas was numerically analyzed for improving the injection uniformity of the reduction agent. Numerical analysis of the mixed gas heat flow into the upstream side of the primary SCR catalyst layer was performed when the denitrification facility was operated. The characteristics such as the flow rate, temperature, pressure loss and ammonia concentration of the mixed gas consisting of the flue gas and the ammonia reducing gas were examined at the upstream of the catalyst layer of SCR. The temperature difference on the surface of the catalyst layer is very small compared to the flow rate of the exhaust gas, and the temperature difference caused by the reducing gas hardly occurs because the flow rate of the reducing gas is very small. When the mixed gas is introduced into the SCR reactor, there is a slight tendency toward one wall. When the gas passes through the catalyst layer having a large pressure loss, the flow angle of the exhaust gas changes because the direction of the exhaust gas changes toward a smaller flow. Based on the uniformity of the flow rate of the mixed gas calculated at the SCR, it is judged that the position of the test port reflected in the design is proper.
  • 10.

    Detection system of Robust High Frequency Range via Noise Collection and Analysis

    MyoungBeom Chung | 2017, 22(1) | pp.71~76 | number of Cited : 1
    Abstract PDF
    Recently, there are various researches using inaudible high frequencies like as wireless communication based smart devices, data transmission algorithm, indoor positioning trace technologies. However, when they use high frequencies of inaudible range, they have a problem that the accuracy of data transmission with high frequencies was low because of interference from ambient noise in our real life. To solve this problem, in this paper, we proposed an application based on smart phone and server system for collection of ambient noise and detection of robust high frequency range. The server system could detect the robust high frequency range from statistical analysis of collected noise and the robust high frequency could avoid interference from ambient noise. We tested the proposed application’s ability to gather noise and high frequencies for a certain period of time to evaluate performance. According to the testing results, we confirmed that the proposed application and server system could detect a robust high-frequency range via noise analysis in real life. Therefore, the proposed application and server could be a useful technology for future research on inaudible high frequencies.
  • 11.

    Research on the Making Technology of Virtual Orchestral Instrument

    Yan Wang | 2017, 22(1) | pp.77~87 | number of Cited : 0
    Abstract PDF
    In this paper, we propose an analysis of the sound source of virtual orchestral music in detail by using the production technology of sampling and playback, and technical experiments and verification for the most advanced Hollywood Library series of timbre and the timbre production and control technology of Vienna instrument Pro and other softwares, to find their solutions and come up with the best timbre production method for orchestral music from the perspective of the specific design ideas of the productions of virtual orchestral instruments. The so-called virtual orchestral instruments are non-real orchestral instruments, which are based on the imitation of timbre of real orchestral instruments, processed and synthesized through the scientific and technological means, and produced by the use of electronic equipments or computers. The study of virtual timbre production technology is very important, and it is like the study of composers' creative techniques. Not only scientific and advanced timbre production methods can be obtained from the study, but also new ways of future timbre production are expected to be explored.
  • 12.

    Relationship between Life Stress and Gambling Behavior Perceived by University Students - The mediation effects of self-control and family support -

    Jeong Byeong Il | Baek, sang-uk | 2017, 22(1) | pp.89~97 | number of Cited : 1
    Abstract PDF
    This study examined the structural relationship between life stress perceived by university students and their gambling behaviors through their self-control and family support. For this, it conducted the questionnaire on life stress, self-control, family support and gambling behavior with 387 university students attending universities in Gwangju city and analyzed the data collected. The results of the analysis were described below. As a result of analyzing the direct effects of life stress on gambling behavior, self-control and family support, it was found that the life stress had the positive effect on gambling behavior and it meant that when the university students couldn't cope with the life stress effectively and felt frustrated, they were likely to be involved in gambling behavior to escape from their helplessness. In addition, as a result of analyzing the direct effects of life stress on self-control and family support, it was found that life stress had negative effect on self-control and family support. The more experiences of life stress they had, the lower their self-control was. As their life stress was higher, they didn't make supportive relationship network with family members. As a result of mediating effects, it was shown that self-control and family support played the partially negative roles in the relationship between life stress and gambling behavior and it suggested that as the life stress was perceived less, self-control was performed better and as family support was higher, gambling behavior was effectively reduced. These results of the research suggested that life stress could be handled actively through self-control and family support and development and distribution of the program to cope with life stress could minimize the gambling behaviors. Also the limitations of this study and necessity of further studies were discussed.
  • 13.

    A Study on Effective Trade Claims Solutions through Commercial Arbitration System

    Rack-In Choi | 2017, 22(1) | pp.99~106 | number of Cited : 1
    Abstract PDF
    In this paper, the first to identify in detail the direct and indirect causes of trade claims and to provide a way to prevent the causes and measures specific claims. Trade claims is not the best way to prevent in advance, measures to prevent future trade claims is as follows. First, it should be the credit investigation of the counterparts. Second, the contract must determine the rights and obligations of each other through sufficient consultation with contract and faithfully perform its contractual obligations. Third, the explicit trade arbitration clause of arbitration in the contract, and shall be a sufficient review of the procedure such as import and export, international business practices, norms and partners of economic policy, foreign exchange regulations, the trade system transactions. Finally, for it is to be treated as a one-stop strengthening the organization and function, and the Ministry of Commerce and Trade Association, and KOTRA and Trade Insurance Corporation strategic support systems, such as done by covering the work on trade claims prevention and resolution in the Korean Commercial Arbitration Board.
  • 14.

    The Effects of Juvenile Delinquents' Self-esteem on their Sociality

    Kweon Seong Ok | 2017, 22(1) | pp.107~113 | number of Cited : 2
    Abstract PDF
    This study is aimed to examine the effects of juvenile delinquents' self-esteem on their sociality. To this end, the study conducted a survey of 549 secondary and tertiary students (534 males and 15 females) in delinquent reformatories in four major cities such as Seoul, Busan, Daegu and Daejeon. The result showed that the self-esteem of juvenile delinquents has a significant positive effect on with leadership, autonomy and reliability. Moreover, their self-esteem at home also has a significant positive effect on autonomy. Based on these findings, the study presents implications and suggestions for future studies.
  • 15.

    The Effect of Social Welfare Official’s Perceived Professionalism on Job Attitude

    Hwie- Seo, Park | 2017, 22(1) | pp.115~121 | number of Cited : 1
    Abstract PDF
    The purpose of this study was to suggest the effective methods for human resource management of social welfare officials through empirical analysis on the relationship between professionalism and job attitude. This study came from the academic background that there have been few previous studies about social welfare officials’ professionalism so far. To achieve this purpose, it empirically analyzed professionalism and job attitude through survey to social welfare officials. And as a result, it showed that the elements of professionalism have a significant effect on the variables of job attitude, such as job satisfaction, organizational commitment, and job commitment. Based on this result, it suggested theoretical and political implication that can improve the level of professionalism and job attitude of social welfare officials.
  • 16.

    The Effects of Programming Education using App inventor on Problem-solving Ability and Self-efficacy, Perception

    Seong-Won Kim | Lee Youngjun | 2017, 22(1) | pp.123~134 | number of Cited : 4
    Abstract PDF
    The ability to use information technology has become increasingly important as technological advances continue to sweep through the computing world, and education for improving computational thinking has become globally instituted . In South Korea, informatics subjects have been modified in the 2015 curriculum and are now compulsory in primary and secondary education. However, despite substantial financial investment and numerous studies promoting informatics education, there continues to be a serious lack of pre-service teachers capable of teaching computational thinking. This study investigated pre-service teacher programming education using App Inventor, their perceptions of App Inventor, and how use of the program affected teacher problem-solving abilities and self-efficacy. In the pre-test, the control group and experimental group showed no statistically significant difference; however, the post-test revealed that the two groups showed statistically significant differences in problem-solving skills and self-efficacy. The participants initially showed interest in using App Inventor; however, after practice-teaching and project-based learning, the participants demonstrated a growing negativity toward the program when they made errors and the functional limits of App Inventor became apparent. Although most participants stated that they would not use App Inventor in their classes, the positive statistically significant differences in problem-solving skills and self-efficacy indicate that this study could be utilized as a basis for building a teaching-learning program using App Inventor and creating an educational plan for teaching computational thinking.
  • 17.

    A study on the utilization ability of Instructional media based on NCS for Young Child’s Preliminary Teachers

    Yan Ha | 2017, 22(1) | pp.135~141 | number of Cited : 1
    Abstract PDF
    This thesis progressed research on the improvements of NCS multimedia utilization for preliminary teachers. A national module has not been developed yet in terms of child education, so this thesis suggests a curriculum according to the courses taught for freshmen and sophomores of K University Child Education majors. To lessen the burden of tremendous work and classes, provide motivation and interest in learning and maximize the effect, this thesis provides NCS based curriculum. It expects to improve task performance of teachers and help them with better skills to make class materials using up-to-date multimedia, regardless of the computer literacy of preliminary teachers. This thesis does prior research on the abilities to make use of computers and understand the level of computer literacy. Then it suggests NCS based curriculum goals and its performance standards to utilize task-suitable software. It aims to enable efficient multimedia usage, and optimize the learning efficiency of education linked to Nuri precesses.
  • 18.

    A Study on the Utilization of Open Source Hardware Platform for Convergence IT Education

    Kim, Seong-yeol | 2017, 22(1) | pp.143~151 | number of Cited : 2
    Abstract PDF
    In this paper, we suggest a method utilizing OSHW(Open Source HardWare) in order to raise up students who are competent in IT convergence and integration as a basic research to improve the university software education. Software education cannot be too much emphasized in the age of big change of Fourth Industrial Revolution. It hardly seems to have changes in the software education area of university where has to train competent technicians to be deployed into the industrial field, although software education is planned even in elementary, middle, and high school. In this situation, we expect that utilizing OSHW in software education can result in gaining a meaningful effect. However, we don't have various and systemic approach which use it as a education system component, unlike the response and necessity OSHW market. Therefore in this paper we suggest models which constitute software education environment based on OSHW and exemplify how to use it in each model. In addition, we compare and analyze each model in order to give a criteria to choice one of them according to the condition.
  • 19.

    A Flipped Classroom Model For Algorithm In College

    Su-Hyun Lee | 2017, 22(1) | pp.153~159 | number of Cited : 3
    Abstract PDF
    In recent years there has been a rise in the use and interest of the flipped learning as a teaching and learning paradigm. The flipped learning model includes any use of Internet technology to enrich the learning in a classroom, so that a professor can spend more time interacting with students instead of lecturing. In the flipped model, students viewed video lectures online outside of class time. Students then performed two kinds of assignments, a teamwork assignment and an individual work assignment, through the class time. In this paper, we propose a flipped educational model for a college class. This experimental research compares class of college algorithm using the flipped classroom methods and the traditional lecture-homework structure and its effect on student achievement. The result data of mid-term exam and final exam were analyzed and compared with previous year data. The findings of this research show that there was not a significant difference in the scores of student between two lecturing methods. The survey result and lecture evaluation by students show that students are in favor of the flipped learning.