• Journal of Digital Contents Society
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• v.15 no.2
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• pp.197-207
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• 2014

Many people are now enjoying mobile games using various smartphone platforms. However, we have to develop games separately for each smart device platforms so far. Cocos2d-x, a game development framework is released to solve this problem. As a multiplatform version of the existing Cocos2d, Cocos2d-x can make one source code run on various platforms. It is an open software that is able to be used by everyone, and when using it, mobile games can be developed easily based on C++ and OpenGL. In this paper, we implemented a PC laboratory decorating game application, named ILove501, using Cocos2d-x. The 501 is a room number of our PC lab. ILove501 includes an educational feature of solving quizzes in order to highlight positive effects of game. For implementation of a multiplatform game, ILove501 was developed in Windows and iOS environment at the same time, and we verified the results of the execution by porting on a variety of devices such as Android, iPhone, iPad and Galaxy Tab.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.7
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• pp.3223-3231
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• 2013

Fire service budget must be increased continually to supply sufficient fire service for safety life of people. A way to increases fire service budget is to plan and improve regional resources facilities tax system. The purpose of this articles is to analyzes the relationship between regional resources facilities tax and fire service budget, fire service investment budget, socioeconomic factor, fire service demand. To do this, this study sets up five hypotheses based on the theoretical backgrounds and the past research. The statistical methods used for the verification of hypotheses are multiple regression analysis and t test. The analysis showed that regional resources facilities tax was positive significant variable for fire service investment budget and fire service budget and socioeconomic factor was a positive significant variable for regional resources facilities tax. And the analysis showed that fire and rescue variable of fire demand factor were positive significant for regional resources facilities tax.

• The Journal of the Korea Contents Association
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• v.14 no.4
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• pp.325-335
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• 2014

This study provides an overview of instruments for mobile contents start-up companies promotion that are currently available in Seoul. It includes a brief description of several different types of start-up companies and development processes for each of those companies so that it can analyze and figure out critical success factors for sustainable growth. In addition, the case studies of five mobile contents related companies are used to obtain more detailed insights into the development processes. The study focuses on mobile contents startups promotion used as a public policy for encouraging more productive and knowledge-intensive ventures, with the aim of upgrading management activities and creating more startups-friendly business environment. Consequently, the key target groups of the measures discussed in the study include mobile contents start-ups and start-ups that exploit new business opportunities in Seoul.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.10
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• pp.4807-4813
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• 2012

Since the existing methods of segmenting target objects from various images mainly use 2-dimensional features, they have several constraints due to the shortage of 3-dimensional information. In this paper, we therefore propose a new method of accurately segmenting target objects from three dimensional stereoscopic images using 2D and 3D feature clustering. The suggested method first estimates depth features from stereo images by using a stereo matching technique, which represent the distance between a camera and an object from left and right images. It then eliminates background areas and detects foreground areas, namely, target objects by effectively clustering depth and color features. To verify the performance of the proposed method, we have applied our approach to various stereoscopic images and found that it can accurately detect target objects compared to other existing 2-dimensional methods.

• Journal of Korea Game Society
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• v.12 no.3
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• pp.25-36
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• 2012

Cross-Media Storytelling(CMS) is the new method of media representation. It picks the features and the elements in one media, and uses them in another media. 'Remediation' in digital era uses the content of old media in new form based on new technology. But 'CMS' represents the basic elements of the media experience in each unique style of media. It changes the focus from the technology to experience. So CMS is the new strategy of the media not based on the new technology. Adam PESapane's (2006) is a example for this strategy. It takes the game media as a subject matter. But it expresses the meta-representation of game experience in the "stop motion animation" Especially it emphasizes the narrative chain between the usual phenomenon and the visual imagination. And it shows the possibility of representation of new media experience in the old media genre. So it suggests the conditions of CMS.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.6
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• pp.84-90
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• 2020

As the uploading and downloading of data through the Internet is becoming more common, data including personal information are easily exposed to unauthorized users. In this study, we detect a target area in images that contain personal information, except for the background, and we protect the detected target area by using a blocking method suitable for the surrounding situation. In this method, only the target area from color image input containing personal information is segmented based on skin color. Subsequently, blurring of the corresponding area is performed in multiple stages based on the surrounding situation to effectively block the detected area, thereby protecting the personal information from being exposed. Experimental results show that the proposed method blocks the object region containing personal information 2.3% more accurately than an existing method. The proposed method is expected to be utilized in fields related to image processing, such as video security, target surveillance, and object covering.

• The Journal of the Korea Contents Association
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• v.20 no.11
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• pp.402-410
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• 2020

It is very important for Academic purpose Korean leaner to understand main ideas and overall context of texts. In order to understand the overall context and mail ideas of text, learners need output task, ways to perform what they are learning, such as retelling. That would help them to realize that there is a gap between what they have understood and what they can actually speak or write. These out activities help learners comprehend the text more efficiently, while at the same time raising their confidence level. The purpose of this study was to develop an education plan to improve reading comprehension ability by using retelling activity. To achieve the purpose of the study, retelling activity, which makes it easier to take an integrated approach to language function and is considered to be relatively effective, was utilized because of the characteristics of retelling activity education instead of teacher-centered education methods.

• Journal of IKEEE
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• v.13 no.2
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• pp.232-240
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• 2009

This paper presents a robust vehicle detection and tracking algorithm for supervision of illegal parking. The proposed algorithm is composed of four parts. First, a vehicle detection algorithm is proposed using the improved codebook object detection algorithm to segment moving vehicles from the input sequence. Second, a preprocessing technique using the geometric characteristics of vehicles is employed to exclude non-vehicle objects. Then, the detected vehicles are tracked by an object tracker which incorporates histogram tracking method with Kalman filter. To make the tracking results more accurate, histogram tracking results are used as measurement data for Kalman filter. Finally, Real Stop Counter (RSC) is introduced for trustworthy and accurate performance of the stopped vehicle detection. Experimental results show that the proposed algorithm can track multiple vehicles simultaneously and detect stopped vehicles successfully in the complicated street environment.

• The Journal of Korean Association of Computer Education
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• v.6 no.3
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• pp.173-183
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• 2003

E-learning education methodology using the web has been as much activated with the introduction of the internet to our society. As for the web-based education, there is no exception in case of mathematics. However, when it comes to representing math equations by using HTML image tags, a type of web marked-up language, it can be hard to represent math equations that have structural features, and to do the search, resulting in the difficulty in reusing math related applications. Therefore, based on MathML and using ActiveX control technology, a math equation generating website was designed and implemented in this study. Since this system employed ActiveX control technology, it is possible to generate math equations without the limit of time and place on the web, and to manage the program with the most up-to-dale version. And in this system, it is also possible to save the math equations generated in this system to be referred to for their reuse in the future.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.6
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• pp.1074-1080
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• 2016

Big data analysis refers the ability to store, manage and analyze collected data from an existing database management tool. Thus, meta-analysis is a statistical integration method that delivers an opportunity to overview the entire result of integrating and analyzing many quantitative research results. Commonly, factors of metabolic syndrome can be defined as abdominal obesity, systolic blood pressure, diastolic blood pressure, triglycerides, and high density lipoprotein cholesterol. In this meta-analysis, we concluded that the path between pre and post of the fasting blood glucose had the largest effect size of (r = -.324). Therefore, the effect of soybean food intervention showed an explanatory power of 10%. The second biggest effect size (r = .256) was found the path between pre and post in the waist circumference. Unfortunately, soybean food intake showed no improvement on abdominal obesity. Thus, we present the theoretical and practical implications of these results.