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All Journal International Journal of Electrical and Computer Engineering Indonesian Journal of Electrical Engineering and Computer Science
Doo Heon Song
Yong-In SongDam College
Computer Science & IT Electrical & Electronics Engineering

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Age group differences on perception of autoplay in mobile game playing among korean gamers Doo Heon Song; Seunghun Lee
Indonesian Journal of Electrical Engineering and Computer Science Vol 19, No 3: September 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v19.i3.pp1519-1524

Abstract

Autoplay functions are embedded in most mobile role playing games and mobile multiplayer online battle arena games recently. Theoretically, there are different views on autoplay function in that it may be a ‘fake play’ from the traditional view and it is economical and gives functional benefits for game developing companies on balancing from functionalists’ view. In this paper, we investigate how this autoplay functions are perceived to the Korean mobile gamers. We report that there exists a strong age group effect on it and age 25 is the inflection point. Among 304 subjects including 69 females participated in this survey, the positive perception rate is positively proportional to the age from 36% to 73%. The reasons they choose to play autocombat function are convenience and utilizing sack times but the older groups (over 30) emphasize playing while doing other personal doings. Those who do not use autoplay function sustain the traditional view of game playing in that autoplay is ‘not’ the real game playing and there exists an age effect in that the inclination rate of autoplay function is negatively proportional to the age.
Pet dog disease pre-diagnosis system for caregiver with possibilistic C-means clustering and disease database Kwang Baek Kim; Doo Heon Song
Indonesian Journal of Electrical Engineering and Computer Science Vol 20, No 1: October 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v20.i1.pp300-305

Abstract

While the population of pet dogs and veterinary clinics are increasing, there is no reliable and useful software for pet owners/caregivers who have limited knowledge on the pet diseases. In this paper, we propose a pre-diagnosis system working on the mobile platform that the pet owner can take a pre-diagnosis from his/her observation of pet dog’s abnormality. Technically, the system needs a reliable databases for disease-symptom association thus we provide it based on the textbook and encyclopedia. Then, we apply Possibilistic C-Means algorithm that is an unsupervised machine learning algorithm to form the connections between disease and symptoms from database. The system outputs five most probable diseases from the observed symptoms of pet dog. The utility of this system is to alert the owner’s attention on the pet dog’s abnormal behavior and try to find the diseases as soon as possible.
Functional usability analysis of top Korean mobile role playing games based on user interface design Seunh Hoon Lee; Doo Heon Song
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 1: January 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v13.i1.pp123-128

Abstract

Mobile Tole Playing Games (RPGs) are now very popular in gaming market. Still, we have great constraint in hardware provided such as screen size and interaction speed. Adopting techniques such as auto play enables the game designers to weaken the burdens of porting RPG scales to mobile platform. However, the interface design in mobile platform becomes quite different from PC based platform. In this paper, we investigate how user interface functionalities are provided for popular mobile RPGs based on google play downloaded between the year of 2014 and 2016. We analyze the commonalities and the differences of recent successful mobile RPGs first and take a user survey with heuristics. In result, subjects who are 16 ~ 25 in age weakly accept current interface layout and control as over 70% positive rate in 4 point Likert scale test.
Colored facial image restoration by similarity enhanced implicative fuzzy association memory Kwang Baek Kim; Doo Heon Song
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 1: January 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v13.i1.pp199-204

Abstract

Image restoration refers to the recovery of an underlying image from an observation that has been corrupted by various types of noise. In a digital forensic software, such image restoration process should be noise-tolerant, robust, fast, and scalable.  In this paper, we apply implicative fuzzy association memory structure in colored facial image restoration with enhanced similarity measure involved in output computarion. The efficacy if the proposed fuzzy associative memory model is verified by the experiment in that it was 95% successful (with zero mean square error) out of 20 tested images.
Automatic segmentation of ceramic materials with relaxed possibilistic C-Means clustering for defect detection Kwang Baek Kim; Doo Heon Song; Hyun Jun Park
Indonesian Journal of Electrical Engineering and Computer Science Vol 19, No 3: September 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v19.i3.pp1505-1511

Abstract

Auromatic inspection system is necessary for reliable quality control if ceramic materials to avoid operator subjectivity and fatigue in visual inspection. Automatic segmentation from material’s image is then the most important process to develop such an inspection system. In this paper, we propose a Possibilistic C-Means pixel clustering algorithm with fuzzy stretching to form the defect object in segmentation. In experiment using 50 images containing a certain amount of defects, the proposed method was successful in 49 cases or 98% of opportunities. That performance is roughly twice better than that of standard K-means clustering in defect object formation Auromatic inspection system is necessary for reliable quality control if ceramic materials to avoid operator subjectivity and fatigue in visual inspection. Automatic segmentation from material’s image is then the most important process to develop such an inspection system. In this paper, we propose a Possibilistic C-Means pixel clustering algorithm with fuzzy stretching to form the defect object in segmentation. In experiment using 50 images containing a certain amount of defects, the proposed method was successful in 49 cases or 98% of opportunities. That performance is roughly twice better than that of standard K-means clustering in defect object formation.
Gender stereotype and hostile sexism among young korean gamers based on teammate selection strategy and game style preferences Doo Heon Song; Hae Kyung Rhee; Jeong Hoon Kim
Indonesian Journal of Electrical Engineering and Computer Science Vol 19, No 3: September 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v19.i3.pp1512-1518

Abstract

Female gamers are growing rapidly worldwide especially in young age groups and in mobile platform. Since that population change appears in recent 10 years, formerly male-oriented gaming community has confronted gender issues. In this paper, we witness that a strong gender stereotype exists for both genders in Korea by two surveys. In the first survey, subjects show that they have different expectations of opposite gender’s favorable game style where both genders have exactly same favorite styles. In the second survey, we investigate how members of hostile sexism community groups choose teammates in Overwatch game if they have privilege to select teammates for specific roles. Ilbe and Womad as two far extreme misogyny and misandry groups show hostile sexism in teammate selection. The result implies that hostile sexism and gender stereotype shown in game playing may be induced from other social factors than the amount of the game playing experiences.       
Comparative analysis of first person shooter games on game modes and weapons – military-themed, overwatch, and player unknowns’ battleground Hae Kyung Rhee; Doo Heon Song; Jeong Hoon Kim
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 1: January 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v13.i1.pp116-122

Abstract

First-person shooter is a video game genre centered on gun and other weapon-based combat in a first-person perspective. It is the second most favored genre among young Korean male gamers. Recently, the resurrected old-school-shooter Overwatch and Battle Royale style Player Unknowns’ Battleground enjoy a big success in  Korean game market and worldwide meanwhile the military-themed games in the genre have shrunken especially in Korean market. In this paper, we take a comparative analysis on the game structures and game modes and particularly the weapon system used in the game to facilitate the player balancing in the team based combat. Two recent successful games in the genre showed different strengths over traditional military-themed first-person-shooter in this comparative study.
Co-Authors Hae Kyung Rhee Hae-Jung Lee Hosung Nho Hyun Jun Park Hyun Jun Park Hyun-Min Choi Jeong Hoon Kim Ji-eun Kim Jong Hee Lee Joonsung Park Kwang Baek Kim Kwang Baek Kim Kyung-Ae Kim Sang-Seok Yun Seunghun Lee Seunh Hoon Lee Young Woon Woo