• Journal of the Korea Society of Computer and Information
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• v.24 no.12
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• pp.85-92
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• 2019

Companies can identify user groups or consumption trends by collecting and analyzing opinions of many users on special subjects or their products as well as utilize them as various purposes such as predicting some specific trends or marketing strategies. Therefore current analyzing tools of social media have come into use as a means to measure the performances of social media marketing through network's statistical analysis. However these tools require expensive computing and network resources including burden of costs for building up and operating complex software platforms and much operating know-how. Hence, small companies or private business operators have difficulty in utilizing those social media data effectively. This paper proposes a framework applied into developing analysis system of social media. The framework could be set up and operate the system to extract necessary social media's data. Also to design the system, this study suggests a meta-model of proposed framework and to guarantee completeness and consistency, a formal specification of meta-model by using Z language is suggested. Finally, we could verify the clearness of framework's design by performing Z model checking of formal specification's output through Z-EVES tool.

• Asian Journal for Public Opinion Research
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• v.5 no.1
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• pp.41-62
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• 2017

The political reformation in Indonesia is a determinant factor of the change in political communications and the roles of media. Currently, the political elites need media support, since it contextually has a significant role. Whoever has a good relationship with the media, will be loved by the public. On the other hand, the media also have a vested interest in the elite in running businesses and building the power of industry. Policies and capital pose a challenge to maintaining the continuity of the media. Independence and control of media are at stake, when the interests of the media and the elite collaborate with each other and then build a benefit on both sides. Meanwhile, the role of social media also cannot be neglected. The Indonesian political communication system is characterized by the presence of social media in a pseudo-relationship between the elite and the public. This paper tries to explain the growing trends of research in the academic environment and the research trends in political practice in Indonesia after the occurrence of post-reformation era in legislative and executive elections. The method used is the meta-analysis of research outcomes of university (dissertations) and secondary data sources. Data processing is done by meta-analysis of secondary data. The results of meta-analysis research indicate that, the objective conditions, in Indonesia, especially the political conditions, stimulate new spaces in communication research. The study of political communication becomes dominant in the academic environment. In addition, communication research is also characterized by a shift from the linear perspective (positivistic paradigm) to the interactive perspective (naturalistic paradigm). On the other hand, the development of politic and governance situations in Indonesia has prompted the establishment of polling agencies that help citizens understand the maps of political power and candidates in general elections and regional head elections.

• Journal of Digital Convergence
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• v.13 no.7
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• pp.293-304
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• 2015

Meta-analysis was conducted to examine effects of computer based virtual reality on clinical rehabilitation in Korea. The data were analyzed as the ICF categorizations. The papers used in this study were located through domestic data search engines. The fifteen studies were selected among the studies published between 1995 and 2014. The PEDro score was used for qualitative assessment. The sample size and the average and standard deviations of pre and post tests were analyzed through a meta-analysis. The PEDro scores of the selected studies were 6 points higher and 338 participants were involved. The effect size of combined data was 1.030, activities and participation 1.120, sensory function 1.199 as indicated by a "large effect size" and the effect size of mental function was 0.557 as indicated by a "medium effect size." As a result, virtual reality program as a adjunctive therapeutic methods has proven the effect. In particular, the effects were demonstrated in activities and participation, sensory function. However there was no evidence of the effectiveness of mental function.

• Journal of Korea Multimedia Society
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• v.23 no.8
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• pp.986-1005
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• 2020

In this paper, we propose AnoVid, an automated video annotation tool based on deep neural networks, that automatically generates various meta data for each scene or shot in a long drama video containing rich elements. To this end, a novel meta data schema for drama video is designed. Based on this schema, the AnoVid video annotation tool has a total of six deep neural network models for object detection, place recognition, time zone recognition, person recognition, activity detection, and description generation. Using these models, the AnoVid can generate rich video annotation data. In addition, AnoVid provides not only the ability to automatically generate a JSON-type video annotation data file, but also provides various visualization facilities to check the video content analysis results. Through experiments using a real drama video, "Misaeing", we show the practical effectiveness and performance of the proposed video annotation tool, AnoVid.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.12
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• pp.383-392
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• 2018

This study was conducted to examine the effects of a meta-cognition teaching and learning program on nursing students' self-leadership, collaborative preference and problem solving ability. The study was designed using a nonequivalent control group pretest-posttest design. Data were collected between March 5 and June 30, 2018 from 74 2-year nursing students in D College of D City who were assigned to an experimental group (n=36) or a control group (n=38). The meta-cognition teaching and learning program consisted of 10 sessions of combined individual and small group learning. Data were analyzed using descriptive analysis, as well as a t-test, ${\chi}^2$-test, and paired t-test with the SPSS/WIN 21.0 program. After receiving the meta-cognition teaching and learning program, significant differences were observed in self-leadership (t=4.79, p<0.001), collaborative preference (t=5.07, p<0.001), and problem-solving ability (t=6.48, p<0.001) of the experimental group. The results of this study indicate that the meta-cognition teaching and learning program was effective at increasing self-leadership, collaborative preference and problem-solving ability in nursing students. It is expected that the results of this study will be used as basic data to improve self-leadership, collaborative preference and problem-solving ability of nursing students.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.9
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• pp.308-313
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• 2016

Modern systems have become more and more complex due to the ever-increasing user requirements and rapid advance of technology. As such, the frequency of accidents due to system design errors or failure has been increasing. When the damage incurred by accidents to human beings or property is serious, the underlying systems are referred to as safety-critical systems. The development of such systems requires special efforts to ensure the safety of the human beings operating them. To cope with such a requirement, in this paper an approach is employed in which we consider safety starting from the conceptual design phase of the systems. Specifically, a systems design method that can detect functional failure is proposed by utilizing meta-models and M&S methods. To accomplish this, the safety design data from international safety standards are first extracted and also a meta-model is generated using SysML (systems modeling language). Then, a SysML-based system design method is proposed based on the use of the developed meta-model. We also discuss how the safety requirements can be created and verified using a simulation method. Finally, through a case study in automotive design, it is demonstrated that the detection of a functional failure and the verification of a safety requirement can be accomplished using the SysML-based M&S method. This study indicates that the use of meta-models can be useful for collecting and managing safety data and that the meta-model based M&S method can make it possible to satisfy the system requirements by reducing the design errors.

• Journal of the Korea Convergence Society
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• v.10 no.10
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• pp.161-171
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• 2019

This study aims the meta analysis based on the results of the empirical studies related to Job of life-long educators who are working in life-long education center, and the relationship between variables. In order to deliver this objective, articles published in domestic journals from December 2000 to April 2019 were collected, and total of 14 studies and 170 sub data were coded. With those data, the meta-analysis was executed by CMA(Comprehensive Meta Analysis) 3.0 program. The results of this meta-analysis study are as follows. First, the overall effect size associated with Job of life-long educators was 0.767, indicating between medium and large effect size. Second, the effect sizes of dependent variables that are influenced by job of life-long educators were Organization immersion, Job performance, Job satisfaction, and Job stress in order. Third, the effect size of Individual focus variables study was almost twice as big as that of mutual relation focus variables. The implications of this study were suggested based on the analysis results to provide the directivity about how we consider life-long educators related to their job.

• Journal of the Korea Society of Computer and Information
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• v.14 no.6
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• pp.125-134
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• 2009

A biological data acquisition based on web has emerged as a powerful tool for allowing scientists to interactively view entries form different databases, and to navigate from one database to another molecular-biology database links. In this paper, the biological conceptual model is constructed hybrid biological data model to represent interesting entities in the data sources to applying navigation rule property for each biological data source based on four biological data integrating layers to control biological data. When some user's requests for application service are occurred, we can get the data from database and data source via web service. In this paper, we propose a query processing model and execution structure based on integrating data layers that can search information on biological data sources.

• Journal of Korean Academy of Nursing
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• v.50 no.3
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• pp.385-400
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• 2020

Purpose: Previous randomized controlled trials (RCT) found that mind-body therapy can improve the health outcomes of patients with irritable bowel syndrome (IBS). The purpose of this meta-analysis was to identify the combined effects of mind-body therapy on patients' IBS symptoms, quality of life, anxiety, and depression. Methods: A systematic literature search was conducted using various databases such as PubMed, EMBASE, CINAHL CENTRAL, DBpia, RISS, and KISS. The primary outcome variables were IBS symptoms and quality of life; the secondary outcome variables were anxiety and depression. Comprehensive Meta-Analysis version 3.0 was used to analyze the extracted data. The effect size was calculated using standardized mean difference (SMD) and 95% confidence interval (CI). Results: Eleven final RCTs were used for this meta-analysis. Mind-body therapy was found to have a significant effect on the IBS patients' symptoms (SMD, -0.63; 95% CI, -0.77 to -0.48), quality of life (SMD, 1.03; 95% CI, 0.40 to 1.66), anxiety (SMD, -0.28; 95% CI, -0.47 to -0.09), and depression (SMD, -0.31; 95% CI, -0.06 to -0.12). Conclusion: This meta-analysis reveals that mind-body therapy significantly improves IBS patients' symptoms, quality of life, anxiety, and depression. The results suggest that, in the future, appropriate mind-body therapy should be applied to Koreans suffering from IBS. Moreover, the therapy's long-term effects should be assessed.

• The Journal of Korean Medicine
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• v.40 no.4
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• pp.16-28
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• 2019

Objectives: The purpose of this meta-analysis was to evaluate the effects of Yukgunja-tang(YGJT, Rikkunshito, Liujunzi) on Gastroesophageal Reflux Disease(GERD). Methods: Sixteen electronic databases were used to search for studies published through March 2019, and a randomized controlled study was conducted to study the effects of YGJT or modified YGJT on GERD. Study quality was assessed using the risk bias tool provided by Cochran, and data analysis was performed using Review Manager 5.3.0 software Results: Two-hundred and forty articles were initially searched, and 13 studies that satisfied the study criteria were evaluated qualitatively; 11 of the 13 were included in the meta-analysis. In the two studies, the effects of YGJT and a placebo were compared. Meta-analysis showed that YGJT significantly improved FSSG (Frequency Scale for the Symptoms of GERD) scores, but not GSRS (Gastrointestinal Symptom Rating Scale) scores (FSSG: MD -2.40, 95% CI [-5.31, 0.51], p=0.11, GSRS: MD 0.05, 95% CI [-0.12, 0.22], p=0.55). Meta-analysis of nine studies comparing the efficacies of YGJT and conventional medicine showed that YGJT had a significant clinical effect (OR 5.72; 95% CI [3.41, 9.61]; I2 p<0.00001). Conclusion: This study suggests that YGJT effectively relieves the symptoms of GERD. Unfortunately, owing to the small sample sizes, limitations of several methodological qualities, we believe large-scale clinical studies with less bias will provide evidence of qualitative improvement.