• The Journal of the Korea Contents Association
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• v.13 no.6
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• pp.331-338
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• 2013

CT for follow-up visits because of liver disease, body mass index (BMI) and kVp according to the change of the image quality and radiation dose to evaluate for changes. March 2010 to June 2011 at Pusan P University Hospital, abdominal CT scans a patient BMI (Body Mass Index. Less BMI) index was less than 25 in the treatment of subjects had a 48-person Noise and SNR at 100kVp abdominal image is lager than the 120kVp image. CTDI volume value at by the analysis of the radiation dose is 4.47mGy(100kVp) and 9.01mGy(120kVp). So CTDIvol in 100kVp is smaller than CTDIvol in 120kVp(decrease by 44.1%). And, effective dose is 7.1mSv(100kVp) and 12.51mSv(120kVp). So effective dose in 100kVp is smaller than effective dose in 120kVp(decrease by 43%). Evaluation of image quality is that Unacceptable 0 person, Suboptimal 0 person, Adequate 0 person, Good 1 person, Excellent 47 person. In case of repeatly patient, we examinate abdomianl CT scan by using low kVp and body mass index less than 25. We can has good quality image and benefit of low radiation dose.

• The Journal of the Korea Contents Association
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• v.8 no.12
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• pp.10-19
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• 2008

In this paper, we propose an automated silhouette extraction method that can effectively extract inner-patterns and silhouettes from 3D scan data of cultural asset. First of all, after creating the edge list of 3D vector data, we decide contour edge and crease edge according to viewpoint. In the next step, after extracting surface silhouette by investigating the vector variation of adjacent faces in crease edge, we finally extract the contour silhouette and surface silhouette for generating the blueprint of cultural asset. To evaluate the performance of the proposed silhouette extraction method, we performed experiments of silhouette extraction using a traditional tile model, a car model and a stone monument model. Comparing with the conventional threshold-based silhouette extraction method, the proposed method extracted more distinct and clear surface silhouettes and inner-patterns by effectively removing meaningless edges, such as noise.

• Journal of Digital Contents Society
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• v.12 no.2
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• pp.205-216
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• 2011

The smart phone is globally spreading, since the Apple rolled out the iPhone. Thereafter the smart phone ecosystem is being reorganized and strongly governed by the Apple and Google, the mobile OS providers. And the mobile carriers are pushed out of the ecosystem with the progress of the dump pipe. Even though the South Korea has the strong position as a global leader in ICT industries, it have not properly coped with this new situation and is falling to the follower in the smart phone era. Therefore it should try to take advantage of the current of the times like its component industry who already enjoys the fruit. This paper reveals the new structure of the ecosystem along its value chain with the digital open markets, OS providers, phone manufacturers, and mobile carriers. And it shows the economic spillover effects using the input-output analysis. Consequently, this paper will provide the valuable implications to companies in setting up the efficient strategies and the regulator in promoting the ICT industry.

• The Journal of the Korea Contents Association
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• v.16 no.8
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• pp.671-680
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• 2016

This research suggested a new real-time traffic signal control algorithm using fusion data of the travel time and the occupancy rate. This research applied the travel time data of traffic information system to traffic signal operation, and developed the signal control process using the degree of saturation that was estimated from the travel time data. This algorithm estimates a queue length from the travel time based on a deterministic delay model, and includes the process to change from the queue length to the degree of saturation. In addition, this model can calculate the traffic signal timings using fusion data of the travel time and the occupancy rate based on the saturation degree. The micro simulation analysis was conducted for effectiveness evaluation. We checked that the average delay decreased by up to 27 percent. In addition, we checked that this signal control algorithm could respond to a traffic condition of oversaturation and detector breakdown effectively and usefully. This research has important contribution to apply the traffic information system to traffic signal operation sectors.

• The Journal of the Korea Contents Association
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• v.15 no.7
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• pp.629-642
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• 2015

The aim of this study is to investigate the efficacy of pair/group work on the improvement of receptive and productive vocabulary knowledge. One hundred and twelve university students participated in the study and they were divided into three groups. Pair work group(n=42) performed three vocabulary activities in pairs as extra-class works, and Individual work group(n=38) did them alone. On the other hand, Group work group(n=32) did the activities in groups consisting of four or five people during the class. Data were collected from one pretest and two posttest scores. The results showed that collaborative group work was conducive to the growth of both receptive and productive vocabulary knowledge. In contrast, pair groups who do not work collaboratively gained least vocabulary knowledge among three groups. From collaborative group work, participants in higher proficiency levels made greater vocabulary gains than those at lower levels. Based on these results, pedagogical implications are discussed.

• The Journal of the Korea Contents Association
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• v.13 no.12
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• pp.201-211
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• 2013

This study examined the effect of valence for best reply on the conformity of general reply in online environment. A total of 194 participants participated in this study, each participant assigned randomly in three experimental groups(positive, negative, and control). Participants were asked to read online news article, best reply and general 6 replies, and then, to write their own opinions in the reply section. In addition, the level of self-expression and issue commitment were measured. The contents of reply participants written was categorized three valence(positive, negative, and neutral) by the four experimenters' judgment. The mean of inter-rater reliability was 84.9%. The results indicated that the level of self-expression and issue commitment were comparable across experimental conditions. However, the result of cross-table analysis showed that there is a significant difference in the valence of general reply across experimental conditions. Specifically, there were significant difference in the valence of general reply between positive and negative experimental group and positive and control group, but there is no significant difference between negative and control group.

• The Journal of the Korea Contents Association
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• v.17 no.4
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• pp.621-628
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• 2017

There are a lot of articles about government trust, but there are very few researches about regulation trust. So, this study analyzes the influence factors on regulation trust, specially focuses on the mediated effect of government trust. This study surveys on 1,000 people, and the result shows that the influence factors on regulation trust are a academic ability, the benefit of regulation, the specialty of regulation, the fairness of regulation, and necessity of government. And there are the mediated effect of government trust on regulation trust. Therefore, if the government want to increase the execution and accommodation of regulation, then it is necessary to get the regulation trust. And to get the regulation trust, it is necessary to increase the government trust besides the specialty and the fairness of regulation.

• The Journal of the Korea Contents Association
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• v.17 no.7
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• pp.101-112
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• 2017

The purpose of this study is to find out what kind of experience and effect the learner - centered team - based learning (tbl)method has on pre - nursing learner's nursing English course. Participants were 12 preliminary nursing learner, it was analyzed through learning result recording, study observation, learning satisfaction, learner's report, peer evaluation. And described the meaning of the learning experience, individual and team scores were analyzed using frequency analysis, paired-t test. The results showed that the score of each team was higher than the score of individual in both. The tbl experience has been a form of intimacy with colleagues, a motivation for learning, self-study, easy to learn the medical terminology felt through repeated learning, to improve their score by having them secondary group test and they remembered it as a pleasant learning time.

• The Journal of the Korea Contents Association
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• v.18 no.2
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• pp.502-508
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• 2018

This study was a quasi-experimental design with a non-equivalent control group to investigate the effects of yoga nidra on self-esteem in nursing students. Thirty-nine undergraduate nursing students were selected by convenience sampling, with 19 assigned to an yoga nidra group and 20 assigned to a control group. The data were collected from May 1 to June 24, 2016. The yoga nidra intervention was performed for 60 minutes per session, two sessions per a week for 8 weeks. The control group did not participate in the yoga nidra and had no designated intervention. Self-esteem were measured with Rosenberg's Self-Esteem Scale. The yoga nidra group scores were significantly increased in self-esteem levels compared with the control group. In conclusion, these findings indicate that yoga nidra intervention would elevate self-esteem levels in nursing students and it can be used as a tool to improve the self - esteem of university students as well as nursing college students.

• The Journal of the Korea Contents Association
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• v.5 no.1
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• pp.109-116
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• 2005

This paper is to develop the prototype of a decision making for loan granting system at banks and to evaluate the effectiveness of it. The prototype is called at FENET-LG in this paper. The decision to grant a loan is an unstructured and vagueness task because it is required a tremendous amount of data and many complex relationships among them. Evaluating these many data and relationships is a difficult task even for most experienced decision maker of bank. Therefore, where complex judgement is required, the decision maker of bank may benefit from the use of fuzzy expert network to support the evaluation of ability to pay back. Given the characteristics of decision maker of banking facilities judgement task about ability to pay back, the prototype system named FENET-LG is constructed by integration of fuzzy expert system and neural network. The FENET-LG takes advantage of both the deductive approach of fuzzy expert system and the inductive approach of a neural network to provide a decision aid designed to support and facilitate the process of conducting a judgement of ability to pay back.