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Implementation of the Educational Game for Learning the Lecturers Information using the Digital Game-based Learning Methodology (디지털 게임 기반 학습 방법을 이용한 강사 소개 교육용 게임의 구현)

  • Wahyutama, Aria Bisma;Gusdya, Wanda;Hwang, Mintae
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.9
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    • pp.1190-1198
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    • 2021
  • In this paper, we present the results of implementing an interactive lecturer introduction game that allows new students or freshmen to learn about their lecturer's information using a Digital Game-based Learning (DGBL) methodology. This game provides information such as the lecturer's name, photo, the courses that they teach in the form of a quiz game, with Unity and PHP used as the development environment. Communication between the game, Content Management System (CMS), and the database is by using the REST API, which enables the administrator to manage the content of the game such as score and number of questions for each level, user's password, and performance threshold, as well as the lecturer's information itself. Since the developed interactive game uses an integrated CMS, the content can be updated dynamically according to the situation, therefore, it can be easily applied to other departments, as well as other various educational games.

Protection Plan of Trustee Personal Credit Information for Credit Card Company Using Cloud Computing (클라우드컴퓨팅 이용 신용카드사의 영세수탁자 개인신용정보 보호방안)

  • Kim, Shi-in;Kim, In-suk
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.29 no.4
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    • pp.885-895
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    • 2019
  • As seen in recent cases of hacking in financial services, attackers are attempting to hacking trustee with poor security management, rather than directly hacking a financial company. As a result, the consignor is strengthening the security check and control of the trustee, but small trustee has difficulties to invest in information security with the lack of computer facilities and the excessive cost of security equipment. In this paper I investigate the vulnerability of personal information processing life cycle standards in order to enhance the security of small consignee that receive personal information form the credit card company. To solve the vulnerability the company should use litigation management system constructed on cloud computing service and install VPN to secure confidentiality and intergrity in data transfer section. Also, to enhance the security of users, it is suggested to protect personal credit information by installing PC firewall and output security on user PC.

Energy-Efficiency of Distributed Antenna Systems Relying on Resource Allocation

  • Huang, Xiaoge;Zhang, Dongyu;Dai, Weipeng;Tang, She
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.3
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    • pp.1325-1344
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    • 2019
  • Recently, to satisfy mobile users' increasing data transmission requirement, energy efficiency (EE) resource allocation in distributed antenna systems (DASs) has become a hot topic. In this paper, we aim to maximize EE in DASs subject to constraints of the minimum data rate requirement and the maximum transmission power of distributed antenna units (DAUs) with different density distributions. Virtual cell is defined as DAUs selected by the same user equipment (UE) and the size of virtual cells is dependent on the number of subcarriers and the transmission power. Specifically, the selection rule of DAUs is depended on different scenarios. We develop two scenarios based on the density of DAUs, namely, the sparse scenario and the dense scenario. In the sparse scenario, each DAU can only be selected by one UE to avoid co-channel interference. In order to make the original non-convex optimization problem tractable, we transform it into an equivalent fractional programming and solve by the following two sub-problems: optimal subcarrier allocation to find suitable DAUs; optimal power allocation for each subcarrier. Moreover, in the dense scenario, we consider UEs could access the same channel and generate co-channel interference. The optimization problem could be transformed into a convex form based on interference upper bound and fractional programming. In addition, an energy-efficient DAU selection scheme based on the large scale fading is developed to maximize EE. Finally, simulation results demonstrate the effectiveness of the proposed algorithm for both sparse and dense scenarios.

Massive Graph Expression and Shortest Path Search in Interpersonal Relationship Network (인물관계망의 대용량 그래프 표현과 최단 경로 탐색)

  • Min, Kyoung-Ju;Jin, Byeong-Chan;Jung, Man-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.4
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    • pp.624-632
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    • 2022
  • Relationship networks such as an interpersonal relationship network or navigation route search can be expressed in graph form. However, as the amount of data increase, there is a problem that it is difficult to search for the desired data when it is displayed on one screen. In this paper, we propose a visualization method for searching for people, searching for the shortest path between people, and using graphs to express an interpersonal relationship network with many nodes. Unlike the search for the shortest path in the routing table, the shortest path in the interpersonal relationship network should be changeable according to the intension or importance of the researcher or user who is analyzing it. To this end, the BFS algorithm was modified to apply the characteristics of the interpersonal relationship network. For the verification of the results, the data in the character relationship information of the Korean Classics DB in the Korean Classics Translation Institute was used.

3D digital fashion design utilizing the characteristics of the mask of Nuo, Jiangxi province, China (중국 장시성 누오(儺) 가면의 특성을 활용한 3D 디지털 패션디자인)

  • Liu, Huan;Lee, Younhee
    • The Research Journal of the Costume Culture
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    • v.30 no.3
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    • pp.455-476
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    • 2022
  • The aim of this study was to develop Jiangxi Nuo masks using 3D digital fashion design technology and suggest various ways to utilize traditional culture based on the characteristics of Nuo masks, a traditional Chinese artifact of intangible cultural significance. The researchers conducted a literature review to gather information about Nuo culture and masks that could represent Jiangxi. Features of the masks were analyzed and classified. The result are as follows. First, the symbolic characteristics of Jiangxi's Nuo masks can be divided into those based on their origin and history, the user's social status, and the notions of primitive beliefs of the chosen people, such as naturism and totemism. Second, Nuo masks' splendid decorations convey meanings such as luck, the bixie, longevity, wealth, and peace in the family. Third, playfulness in mask-making is about dismantling the original form of the mask, re-creating it through application. Fourth, the masks express primitiveness mostly by conserving the wood's original color or material. The initial masks carved to represent images of figures aptly deliver the primitive forms and images of Nuo culture. In this study, Nuo masks were developed and produced using the 3D digital technology CLO 3D by adopting the expressive characteristics and applying design methods such as asymmetricity, exaggeration, and modification. The results of this study demonstrate the possibility of creating diverse as well as economical designs through the reduction of production.

User Response to Mobile Payment System: Emotional, Cognitive, and Behavioral Approaches (모바일 간편결제시스템 사용의 감성적, 인지적, 행동적 반응 과정 연구)

  • Choi, Yoo-Jung;Hwangbo, Hyunwoo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.8
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    • pp.1158-1164
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    • 2022
  • In this study, the emotional reaction process and the cognitive reaction process were divided into the process of building trust in order to form a continuous use intention in the process of using the mobile simple payment system. We examined the process by which various external factors generate continuous use intentions, that is, behavioral responses through the process of each reaction. External factors were divided into social factors, systemic factors, and social factors. Among them, system factors were social norms and images, and systemic factors were simplicity and accessibility. And the social factors consisted of security and compatibility. And the emotional response was set as pleasure and emotional trust, the cognitive response was cognitive trust, and the final dependent variable was set as continuous use intention. A survey was conducted for model analysis, and the analysis results were derived using PLS.

Development of Dental Calculus Diagnosis System using Fluorescence Detection (형광 검출을 이용한 치석 진단 시스템 개발)

  • Jang, Seon-Hui;Lee, Young-Rim;Lee, Woo-Cheol
    • The Journal of the Korea institute of electronic communication sciences
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    • v.17 no.4
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    • pp.715-722
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    • 2022
  • If you don't regularly go to the dentist to check your teeth, it is difficult to notice cavities or various diseases of your teeth until you have pain or discomfort. Dental plaque is produced by the combination of food or foreign substances and bacteria in the mouth. Starch breaks down from the bacteria that form tartar. The acid that occurs at this time melts the enamel of the teeth and becomes a cavity. So tartar management is important. Poppyrin, the metabolism of bacteria in the mouth, reacts at 405 nm wavelengths and becomes red fluorescent, which can be seen by imaging through certain wavelength filters. By the above method, Frag and tartar are fluorescently detected and photographed with a yellow series of filters that pass wavelengths of 500 nm or more. It uses MATLAB to detect and display red fluorescence through image processing. Using the difference in voltage between normal teeth and tartar through an optical measuring circuit, it was connected to an Arduino and displayed on the LCD. This allows the user to know the presence and location of dental plaque more accurately.

Meta-Record Algorithm based on Mnemonic System in Mobile Environments (모바일 환경에서 기억법 기반 메타 레코드 알고리즘)

  • Boon-Hee Kim
    • The Journal of the Korea institute of electronic communication sciences
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    • v.18 no.2
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    • pp.305-312
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    • 2023
  • In introducing memory methods in various educational fields, programs in a mobile environment can be used for the purpose of increasing accessibility and enhancing the effectiveness of education. It is much easier to remember words with meaning than to remember numerical information such as years. From the standpoint of increasing the educational effect, the part that needs to be supplemented with the help of the application can be said to be numerical information. Most studies related to conventional numerical memory have focused on the form that helps memory by imaging numbers. In the paper on memory-based meta-record algorithms in the mobile environment, the application developed in the previous study attempts to supplement this by discovering and simply modifying the user's mistakes in the entered numerical information. In this study, we aim to increase the memory rate by constructing metadata based on personalized log information and correcting mistakes. To do this, applications suitable for the mobile environment are developed, a structure of meta-record data is proposed, and meta-record application algorithms are implemented and evaluated.

Revisiting the cause of unemployment problem in Korea's labor market: The job seeker's interests-based topic analysis (취업준비생 토픽 분석을 통한 취업난 원인의 재탐색)

  • Kim, Jung-Su;Lee, Suk-Jun
    • Management & Information Systems Review
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    • v.35 no.1
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    • pp.85-116
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    • 2016
  • The present study aims to explore the causes of employment difficulty on the basis of job applicant's interest from P-E (person-environment) fit perspective. Our approach relied on a textual analytic method to reveal insights from their situational interests in a job search during the change of labor market. Thus, to investigate the type of major interests and psychological responses, user-generated texts in a social community were collected for analysis between January 1, 2013 through December 31, 2015 by crawling the online-community in regard to job seeking and sharing information and opinions. The results of topic analysis indicated user's primary interests were divided into four types: perception of vocation expectation, employment pre-preparation behaviors, perception of labor market, and job-seeking stress. Specially, job applicants put mainly concerns of monetary reward and a form of employment, rather than their work values or career exploration, thus youth job applicants expressed their psychological responses using contextualized language (e.g., slang, vulgarisms) for projecting their unstable state under uncertainty in response to environmental changes. Additionally, they have perceived activities in the restricted preparation (e.g., certification, English exam) as determinant factors for success in employment and suffered form job-seeking stress. On the basis of these findings, current unemployment matters are totally attributed to the absence of pursing the value of vocation and job in individuals, organizations, and society. Concretely, job seekers are preoccupied with occupational prestige in social aspect and have undecided vocational value. On the other hand, most companies have no perception of the importance of human resources and have overlooked the needs for proper work environment development in respect of stimulating individual motivation. The attempt in this study to reinterpret the effect of environment as for classifying job applicant's interests in reference to linguistic and psychological theories not only helps conduct a more comprehensive meaning for understanding social matters, but guides new directions for future research on job applicant's psychological factors (e.g., attitudes, motivation) using topic analysis.

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Ramp Activity Expert System for Scheduling and Co-ordination (공항의 계류장 관리 스케줄링 및 조정을 위한 전문가시스템)

  • Jo, Geun-Sik;Yang, Jong-Yoon
    • Journal of Advanced Navigation Technology
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    • v.2 no.1
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    • pp.61-67
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    • 1998
  • In this paper, we have described the Ramp Activity Coordination Expert System (RACES) which can solve aircraft parking problems. RACES includes a knowledge-based scheduling problem which assigns every daily arriving and departing flight to the gates and remote spots with the domain specific knowledge and heuristics acquired from human experts. RACES processes complex scheduling problem such as dynamic inter-relations among the characteristics of remote spots/gates and aircraft with various other constraints, for example, custome and ground handling factors at an airport. By user-driven modeling for end users and knowledge-driven near optimal scheduling acquired from human experts, RACES can produce parking schedules of aircraft in about 20 seconds for about 400 daily flights, whereas it normally takes about 4 to 5 hours by human experts. Scheduling results in the form of Gantt charts produced by the RACES are also accepted by the domain experts. RACES is also designed to deal with the partial adjustment of the schedule when unexpected events occur. After daily scheduling is completed, the messages for aircraft changes and delay messages are reflected and updated into the schedule according to the knowledge of the domain experts. By analyzing the knowledge model of the domain expert, the reactive scheduling steps are effectively represented as rules and the scenarios of the Graphic User Interfaces (GUI) are designed. Since the modification of the aircraft dispositions such as aircraft changes and cancellations of flights are reflected to the current schedule, the modification should be notified to RACES from the mainframe for the reactive scheduling. The adjustments of the schedule are made semi-automatically by RACES since there are many irregularities in dealing with the partial rescheduling.

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