• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.5
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• pp.1755-1777
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• 2022

The development of wireless communication technology has led to the underutilization of radio spectra. To address this limitation, an intelligent cognitive radio network was developed. Specific emitter identification (SEI) is a key technology in this network. However, in realistic non-cooperative scenarios, the system may detect signal classes beyond those in the training database, and only a few labeled signal samples are available for network training, both of which deteriorate identification performance. To overcome these challenges, a meta-learning-based open-set identification system is proposed for SEI. First, the received signals were pre-processed using bi-spectral analysis and a Radon transform to obtain signal representation vectors, which were then fed into an open-set SEI network. This network consisted of a deep feature extractor and an intrinsic feature memorizer that can detect signals of unknown classes and classify signals of different known classes. The training loss functions and the procedures of the open-set SEI network were then designed for parameter optimization. Considering the few-shot problems of open-set SEI, meta-training loss functions and meta-training procedures that require only a few labeled signal samples were further developed for open-set SEI network training. The experimental results demonstrate that this approach outperforms other state-of-the-art SEI methods in open-set scenarios. In addition, excellent open-set SEI performance was achieved using at least 50 training signal samples, and effective operation in low signal-to-noise ratio (SNR) environments was demonstrated.

• Journal of Internet of Things and Convergence
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• v.8 no.6
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• pp.1-13
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• 2022

The Paper Using the meta-analysis research method, first through literature retrieval to obtain 23 relevant empirical studies in China, and then using Review Manager for quantitative analysis, it is found that VR technology has a positive impact on students' overall learning effect and VR technology has a significant positive impact on all dimensions of learning effect (theoretical performance, operational performance, learning motivation, learning interest, learning attitude). There is no significant difference between the dimensions. Significant differences were found for moderating variables such as Discipline types, Teaching Length, and Teaching Method. No significant differences were found for the Academic segments and VR technology types.

• International journal of advanced smart convergence
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• v.11 no.3
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• pp.150-156
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• 2022

Recently, the use of Unreal Engine for animation production is increasing. In this situation, Unreal Engine's 'MetaHuman Creator' helps make it easier to apply realistic characters to animation. In this regard, we tried to produce animations using 'MetaHuman' and verify the effectiveness and differences from the animation production process using only Maya software. To increase the efficiency of the production process, the animation process was made with Maya software. We tried to import animation data from Unreal Engine and go through the process of making animations, and try to find out if there are any problems. And we tried to compare animations made with realistic 'MetaHuman' characters and animation works using cartoon-type characters. The use of the same camera lens in realistic character animations and cartoon character animations produced based on the same scenario was judged to be the cause of the lack of realistic animation screen composition. The analysis revealed that a different approach from the existing animation camera lens selection is required for the selection of the camera lens in the production of realistic animation.

• Journal of the Korean Dietetic Association
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• v.12 no.2
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• pp.185-199
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• 2006

The purpose of this study was to estimate the sites providing accurate and useful informations to the public by monitoring food and nutrition informations distributed through the internet quantitatively about 13 items of 7 necessary requisites. Total of 457 internet sites on the searching engines of Yahoo, Empas, Nate, Naver and Daum were monitored by 10 panels from May, 2004 to October. Thirty eight % of the sites got 7 & 8 total of 14 points and total sites showed a normal distribution. From the estimation of meta data, individual sites(5.19) were operated insufficiently compared with the commercial sites(6.10) and institutional sites(6.60) (p<0.000). According to administrators, sites were evaluated in the order of research institute> government organization> academic association> pharmaceutical company, club, food company, university> hospital> individual (p<0.000). While low-ranked sites were lack of authority because they didn't show the information provider and source, high-ranked ones lack of sustainable management(updating informations) and security. From this study, we suggest that 1) theme, contents and design have to prepared with variety to suit the need of target clients instead of that of site operator; 2) source and origin of information have to be provided; 3) informations have to be updated often and site to be managed sustainably.

• Journal of health informatics and statistics
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• v.43 no.4
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• pp.307-317
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• 2018

Objectives: This study aimed to verify the effectiveness of Internet-based intervention programs for adults with diabetes by conducting a meta-analysis of studies conducted since 2000. Methods: We conducted a systematic review of research papers published in domestic and overseas journals from January 2000 to December 2015, and selected 9 papers that met the analysis criteria. Data analysis was performed using the open source statistical software R 3.5.0, to analyze the effectiveness of Internet-based interventions on experimental and control groups. Results: The analysis showed that intervention programs for controlling HbA1c levels in adult patients with diabetes most commonly comprised 7 sessions on Internet-based management (77.8%), and the most common frequency of application of intervention programs was 4 session in 6 months (33.4%). The present meta-analysis revealed statistically significant effects of Internet-based intervention activities (SMD = 0.92, 95% CI 0.45-1.40). The analysis of the effect size according to the intervention period showed that the 3-month, 6-month, and 12-month interventions reported in eight studies (89%) had a high effect on the Internet-based intervention group. Conclusions: The results of this study confirm the effectiveness of Internet-based intervention programs for adult patients with diabetes. The need for research on the utilization of Internet-based intervention programs for the steady management of diabetes, a chronic disease; for the development of specific guidelines for intervention activities; and for establishing appropriate protocols are acknowledged.

• Journal of Information Technology Services
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• v.11 no.1
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• pp.59-81
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• 2012

Recently, in the research on online environment such as e-commerce, and internet banking, the conceptual discussion about trust and risk in an effort to explain a user's behavior is briskly underway. Most of the research on trust and risk are setting up causal relationship without clearly establishing the relationship between trust and risk. Accordingly this study conducted a meta-analysis in order to consider the relationship between trust and risk and to take a look at the difference in causal relationship. This study includes a total of 18 research papers which are setting up the causal relationship between trust and risk in online environment among the research papers published in domestic academic journals since 2000. Result of the meta-analysis, showed that the effect size was -0.367 in the path from trust to risk; -0.131 in the path from risk to trust; -0.276 in the bidirectional path between trust and risk. In addition, this study was able to confirm through literature review that there appeared a high effect of path in case where trust and risk were measured by an uni-dimensional concept than by a multi-dimensional concept.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.2
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• pp.144-152
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• 2019

Reckless use of the Internet by children is a barrier to daily life and has a negative impact on children's physical, psychological and relational aspects. But more and more children depend on the Internet. Thus, the study conducted a meta-analysis to examine the effectiveness of group programs that involve Internet addiction among elementary school students. The study analyzed 18 studies of a local Internet group counseling program. First, the overall effectiveness of Internet-dependent group programs that cause Internet addiction reduction in elementary school students is shown to be g=0.90, indicating that group counseling programs are effective in reducing Internet addiction and changing related variables. Second, as a result of verifying differences between groups, there were differences in effectiveness in voluntary participation motivations. Therefore, intervention by elementary school students requires preventive training for smart phones so that voluntary participation can occur, and education for parents to develop autonomy for children to use smartphones properly. And rather than making these efforts limited to smart phones, IT retriever education needs to be organized.

• International journal of advanced smart convergence
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• v.11 no.4
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• pp.266-272
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• 2022

Structural stress analysis is performed to confirm the safety of the structures before the construction, and stress analysis is performed to evaluate the safety of various components before the ship or vehicle corresponding to the moving structure is manufactured. In this case, the stress analysis work is performed using the stress analysis software of each company. The results of the stress analysis based on the boundary conditions of the applied loads are analyzed to evaluate the safety of the structure, but the results are difficult to verify because most of the stress analysis software possessed by each company is one. In this paper, we were performed the stress analysis of the bracket applied to the bare chassis of the 30-passenger bus under development is performed by HYPERMESH. In order to verify this, the stress analysis is performed using ANSA/META under the same boundary condition. The stress analysis results of ANSA/META and HYPERMESH showed that they had the same stress distribution and the maximum stress occurred at the same location. Taken together, the results of stress analysis using HYPERMESH were reliable.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.4
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• pp.148-153
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• 2022

In keeping with the fourth industrial revolution, IoT-based environments are being implemented everywhere, and as a result, there is an increasing number of cases in which various types of sensed data are utilized efficiently. In particular, the number of multimedia application cases using smart devices is increasing, and there is an increasing number of cases in which large amounts of data are used as fast and convenient as small amounts of data. Given the increasing size of files used in smart devices, the study designed a modified Htree based on journaling meta data management in Ext4-based smart devices and analyzed performance through experiments of various methods. Performance evaluation analysis using IOZone and Hdread shows that the data size of 100Mbyte compared to the data input / output of existing htree is 10% or more, and that of the super large capacity file of 500Mbyte or more is 5% or more.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.12
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• pp.3960-3975
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• 2022

To analyze and compare the most influencing factors on cloud computing adoption (CCA) in the healthcare organization, a systematic review and meta-analyses of studies was performed using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and Cochrane collaboration recommendations. A search of PubMed, ScienceDirect, Springer, Wiley Online, and Taylor & Francis Online digital libraries (From inception to January 19, 2022) was performed. A total of 17 studies met the defined studies' inclusion and exclusion criteria. Statistical significance difference favoring most influencing factors on CCA were (MD 0.76, 95% CI -1.48 - 3.01, p <0.00001, I² = 90%), (MD 1.40, 95% CI -4.76 - 7.55, p < 0.00007, I² = 97%) (MD 0.17, 95% CI -2.69 - 3.03, p<0.00001, I² = 96%) for technology vs. organizational, technology vs. environmental and business vs. human factors, respectively. Organizational and environmental factors had greater impacts on CCA compared with technological factors. Moreover, business factors were more influential than the human factors.