• Title/Summary/Keyword: internet meta-analysis

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Comparative Analysis of Facial Animation Production by Digital Actors - Keyframe Animation and Mobile Capture Animation

  • Choi, Chul Young
    • International journal of advanced smart convergence
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    • v.13 no.3
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    • pp.176-182
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    • 2024
  • Looking at the recent game market, classic games released in the past are being re-released with high-quality visuals, and users are generally satisfied. It can be said that the realization of realistic digital actors, which was not possible in the past, is now becoming a reality. Epic Games launched the MetaHuman Creator website in September 2021, allowing anyone to easily create realistic human characters. Since then, the number of animations created using MetaHumans has been increasing. As the characters become more realistic, the movement and expression animations expected by the audience must also be convincingly realized. Until recently, traditional methods were the primary approach for producing realistic character animations. For facial animation, Epic Games introduced an improved method on the Live Link app in 2023, which provides the highest quality among mobile-based techniques. In this context, this paper compares the results of animation produced using both keyframe facial capture and mobile-based capture. After creating an emotional expression animation with four sentences, the results were compared using Unreal Engine. While the facial capture method is more natural and easier to use, the precise and exaggerated expressions possible with the keyframe method cannot be overlooked, suggesting that a hybrid approach using both methods will likely continue for the foreseeable future.

A study on Metaverse keyword Consumer perception survey after Covid-19 using big Data

  • LEE, JINHO;Byun, Kwang Min;Ryu, Gi Hwan
    • International Journal of Internet, Broadcasting and Communication
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    • v.14 no.4
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    • pp.52-57
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    • 2022
  • In this study, keywords from representative online portal sites such as Naver, Google, and Youtube were collected based on text mining analysis technique using Textom to check the changes in metqaverse after COVID-19. before Corona, it was confirmed that social media platforms such as Kakao Talk, Facebook, and Twitter were mentioned, and among the four metaverse, consumer awareness was still concentrated in the field of life logging. However, after Corona, keywords from Roblox, Fortnite, and Geppetto appeared, and keywords such as Universe, Space, Meta, and the world appeared, so Metaverse was recognized as a virtual world. As a result, it was confirmed that consumer perception changed from the life logging of Metaverse to the mirror world. Third, keywords such as cryptocurrency, cryptocurrency, coin, and exchange appeared before Corona, and the word frequency ranking for blockchain, which is an underlying technology, was high, but after Corona, the word frequency ranking fell significantly as mentioned above.

Lack of Association Between the Matrix Metalloproteinase-2 -1306C>T Polymorphism and Breast Cancer Susceptibility: a Meta-analysis

  • Yang, Lu;Li, Ning;Wang, Siyu;Kong, Yanan;Tang, Hailin;Xie, Xinhua;Xie, Xiaoming
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.12
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    • pp.4823-4827
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    • 2014
  • Background: Since inconsistent results have been reported regarding the relation between the matrix metalloproteinase-2 (MMP-2) -1306C>T polymorphism and susceptibility for breast cancer, we performed a meta-analysis to investigate the issue. Materials and Methods: An internet search of PubMed and EMBASE was performed to identify eligible studies. Pooled odds ratios (ORs) with their corresponding confidence intervals (CIs) were calculated to evaluate any association between MMP-2 -1306C>T polymorphism and breast cancer susceptibility. Results: Nine case-control studies were included in the meta-analysis, involving 9,858 cases and 10,871 controls. Overall, there was no evidence of any association between the MMP-2 -1306C>T polymorphism and breast cancer susceptibility in different genetic models (T-allele vs C-allele: OR=0.95, 95%CI, 0.82-1.10, p=0.49; TT vs CC: OR=1.03, 95%CI, 0.90-1.19, p=0.66; TT+TC vs CC: OR=0.93, 95%CI, 0.78-1.10, p=0.38; TT vs TC+CC: OR=1.02, 95%CI, 0.89-1.17, p=0.77). In the subgroup analysis by ethnicity, CC was associated with a significant increase in breast susceptibility among Latin-Americans in the dominant model (OR=0.61, 95%CI, 0.40-0.93, p=0.02), but the association disappeared in other models. No significant association was observed among Europeans, East Asians and others in different genetic models. In the subgroup analysis by their source of controls, no significant association between MMP-2 -1306C>T polymorphism and breast cancer susceptibility was noted among population-based studies and hospital-based studies in different genetic models. Conclusions: The results of this meta-analysis suggest that MMP-2 -1306C>T polymorphism is not associated with breast cancer susceptibility, although the association among Latin-Americans in the dominant model was significant.

Meta Information Retrieval using Sentence Analysis of Korean Dialogue Style (한국어 대화체 문장 분석을 이용한 메타 정보검색)

  • 박인철
    • Journal of the Korea Computer Industry Society
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    • v.4 no.10
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    • pp.703-712
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    • 2003
  • Today, documents existing on internet by the development of communication network increase in number. And it is required the information retrieval system that can efficiently acquire the necessary information. Most information retrieval systems retrieve documents using a simple keyword or a boolean query of keywords. But, the method is not fit for novice users to use and has many difficulties than user's dialogue query from the viewpoint of convenience and precise understanding for query. So, this paper has an aim to suggest the method that will cope with above problems and to design and implement a meta query processing system for information retrieval using Korean dialogue sentences. The system implemented in this paper can generates a new boolean query for a given Korean dialogue sentence and resolve lexical ambiguities through morphological analysis, syntactic analysis and extension of query using thesaurus.

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Meta Analysis of International Commerce and Information Review (통상정보연구 메타분석)

  • Lee, Hohyung
    • International Commerce and Information Review
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    • v.19 no.2
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    • pp.259-273
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    • 2017
  • This study is a meta-analysis of the articles published over the last 18 years from the first edition of the "International Commerce and Information Review" to December 2016. 1047 papers were published in "International Commerce and Information Review" until 2016. Many articles appeared in the order of electronic trade field, product and service innovation field, regional trade information field, trade law system field, and trade negotiation field. There are more than 15 major fields of authors who have published more than 20 papers."International Commerce and Information Review" is a multi-disciplinary journal by scholars in various major fields. Most of the authors belong to universities and the proportion of papers that receive research grants is 19.7%. 46 authors have published more than 5 papers in "International Commerce and Information Review", and their H-index is 5.6. Influence Index (IF) of the "International Commerce and Information Review" in 2016 is 1.02. The main keywords of the papers published in "International Commerce and Information Review" are e-commerce, Internet, service trade, China, e-trade, Korean Wave, FTA, SME and foreign direct investment.

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A Meta-Model for Development Process of IoT Application by Using UML

  • Cho, Eun-Sook;Song, Chee-Yang
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.1
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    • pp.121-128
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    • 2019
  • An Internet of Things(IoT) technology which provides intelligent services by combining context-awareness based intelligences, inter-communication is made of between things and things or between things and person through the network connected with intelligent things is spreading rapidly. Especially as this technology is converged into smart device, mobile, cloud, big data technologies, it is applied into various domains. Therefore, this is different from existing Web or Mobile Application. New types of IoT applications are emerging by adapting IoT into Web or mobile. Because IoT application is not only focused on software but also considering hardware or things aspect, there are limitations existing development process. Existing development processes don't consider analysis and design techniques considering both hardware and things. We propose not only a meta-model for development process which can support IoT application's development but also meta-models for main activities in this paper. Especially we define modeling elements by using UML's extension mechanisms, provide development process, and suggest design techniques how to apply those elements into IoT application's modeling phase. Because there are many types of IoT application's type, we propose an Android and Arduino-based on IoT application as a case study. We expect that proposed technique can be applied into many of various IoT application development and design with a form of flexible and extensible as well as main functionalities or elements are more concretely described. As a result, it brings IoT application's flexibility and the effect of quality improvement.

A Meta-analysis of Related Factors Depression of Korea University Student (한국 대학생의 우울 관련 요인에 대한 메타분석)

  • Jeon, Byoung-Jin;Song, Bo-Kyong;Ko, Koung-Min;Kim, Ji-Yoon;Park, Sang-Eun;Yu, Yi-Seul;Lee, Du-Ri;Choi, Young-Ju
    • The Journal of Korean society of community based occupational therapy
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    • v.5 no.2
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    • pp.43-55
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    • 2015
  • Objective : This study was a meta-analysis of previous studies to examine the integration of related factors depression University students of Korea, and to determine the relative importance among the relevant factors based on it. Methods : 2000-2014 papers posted on the National Science and Technology Information Center (NDSL), Nurimedia (DBpia), Academic Research Information Service (RISS), Korea Research Information(KISS), provide the text of the Library of Congress were collected using the service. The Key words a 'University Student', 'Depression', 'Depression Factors' was used. Used the Down & Black level, evidence-based checklist was developed by the research (1998) (checklist) had analyzed the selected document metadata to assess the quality. Results : 47-studies selected research groups are divided into five factors(self-esteem, suicidal ideation, positive thinking, stresses, Internet and smartphone addiction). Using meta-analysis, we analyzed the effect sizes, statistical heterogeneity and publication amenities. As a result, the self-esteem of the five factors were not found heterogeneity. Effect size is a self-esteem and suicidal ideation "large effect size", positive thinking and stress "medium effect size", internet and smart phone addiction"small effect size". Conclusion : Self-esteem and suicidal ideation are among the factors associated with depression in University students of Korea was found that the most relevant. It identified the factors associated with depression in college students, and could utilized as basis for the prevention of depression.

Analysis of Nursing Studies on Hardiness Published in Korea (강인성에 대한 국내 간호논문 분석)

  • Kim, Young-Ock
    • Korean Journal of Adult Nursing
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    • v.16 no.1
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    • pp.27-36
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    • 2004
  • Purpose: The purpose of this study was to identify patterns and trends of hardiness studies and to suggest the direction of further research. Method : Forty-seven hardiness studies were collected through internet searching and were reviewed by some criteria. Result : The results showed that hardiness studies have increased rapidly since 1990's. Eighteen studies were thesis' for degrees and others were for non-degree research studies. All studies employed the non-experimental design, particularly correlational studies. In the sampling method, all studies used non-probability sampling. Most commonly used instrument for hardiness measurement was Pollock(1986)'s HRHS. In the majority of research, hardiness was treated both as a composite measure and 3 subscales. Hardiness-related concepts were 27 and classified into 5 categories such as health behavior, stress, adaptation, support, and others. Most common statistical technique was Pearson's correlation coefficient, followed by regression, ANOVA, path analysis. Conclusion : To be utilized as practical nursing knowledge, hardiness studies should be done with more empirical analysis such as experimental research, and Meta-analysis is needed to compare the effect size and significance of composit and 3 subscales of hardiness construct.

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A Design of u-Learning's Teaching and Learning Model in the Cloud Computing Environment (클라우드 컴퓨팅 환경에서의 u-러닝 교수학습 모형 설계)

  • Jeong, Hwa-Young;Kim, Yoon-Ho
    • Journal of Advanced Navigation Technology
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    • v.13 no.5
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    • pp.781-786
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    • 2009
  • The cloud computing environment is a new trend of web based application parts. It can be IT business model that is able to easily support learning service and allocate resources through the internet to users. U-learning also is a maximal model with efficiency of the internet based learning. Thus, in this research, we proposed a design of u-learning's teaching and learning model that is applying the internet based learning. Proposal method is to fit u-learning and has 7 steps: Preparing, planning, gathering, learning process, analysis and evaluation, and feedback. We make a cloud u-learning server and cloud LMS to process and manage the service. And We also make a mobile devices meta data to aware the model.

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Tumor Necrosis Factor-α Gene Polymorphisms and Risk of Oral Cancer: Evidence from a Meta-analysis

  • Chen, Fang-Chun;Zhang, Fan;Zhang, Zhi-Jiao;Meng, Si-Ying;Wang, Yang;Xiang, Xue-Rong;Wang, Chun;Tang, Yu-Ying
    • Asian Pacific Journal of Cancer Prevention
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    • v.14 no.12
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    • pp.7243-7249
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    • 2013
  • Numerous studies have been conducted regarding association between TNF-${\alpha}$ and oral cancer risk, but the results remain controversial. The present meta-analysis is performed to acquire a more precise estimation of relationships. Databases of Pubmed, the Cochrane library and the China National Knowledge Internet (CNKI) were retrieved until August 10, 2013. Pooled odds ratios (ORs) and 95% confidence intervals (95% CIs) were calculated with fixed- or random-effect models. The heterogeneity assumption was assessed by I-squared test. Among the eight included case-control studies, all were focused on TNF-${\alpha}$-308G>A and four also concerned the TNF-${\alpha}$-238G>A polymorphism. It was found that oral cancer risk were significant decreased with the TNF-${\alpha}$-308G>A polymorphism in the additive genetic model (GG vs. AA, OR=0.19, 95% CI: [0.04, 1.00], P=0.05, I2=68.9%) and the dominant genetic model (GG+GA vs. AA, OR=0.22, 95% CI: [0.06, 0.82], P=0.03, I2=52.4%); however, no significant association was observed in allele contrast (G vs. A, OR=0.70, 95% CI: [0.23, 2.16], P=0.54, I2=95.9%) and recessive genetic models (GG vs. GA+AA, OR=0.72, 95% CI: [0.33, 1.57], P=0.41, I2=93.1%). For the TNF-${\alpha}$-238G>A polymorphism, significant associations with oral cancer risk were found in the allele contrast (G vs. A, OR=2.75, 95% CI: [1.25, 6.04], P=0.01, I2=0.0%) and recessive genetic models (GG vs. GA+AA, OR=2.23, 95%CI: [1.18, 4.23], P=0.01, I2=0.0%). Conclusively, this meta-analysis indicates that TNF-${\alpha}$ polymorphisms may contribute to the risk of oral cancer. Allele G and the GG+GA genotype of TNF-${\alpha}$-308G>A may decrease the risk of oral cancer, while allele G and the GG genotype of TNF-${\alpha}$-238G>A may cause an increase.