• Physical Therapy Rehabilitation Science
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• v.12 no.3
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• pp.214-221
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• 2023

Objective: This study aimed to assess the impact of using the LED light electromyographyfeedback system (EMG-light) during Pilates exercises in women to maintain consistent muscle contraction in the abdominal external oblique muscles and reduce muscle contraction in the upper trapezius muscles. This study compared Pilates training using the EMG-light with Pilates training only in healthy women for 4 weeks. Design: This study was conducted as a cross-sectional study. Methods: A total of 17 healthy women were divided into an experimental group (n=9) and a control group (n=8). Both groups performed Pilates exercises as assigned, twice per week for four weeks, with each session lasting fifty minutes. The experimental group were used the EMG-light feedback system during pilates exercise while the control group did not use EMG-light. We used cervical vertebral angle (CVA), shoulder tilt angle to evaluate neck posture and standing balance with closed eye for 30s before and after exercise. Results: The control group exhibited a significant change in CVA (p<0.05). Both groups showed significant changes in shoulder tilt, center of pressure (COP) path-length, and COP velocity during eyes-closed conditions (p<0.05). However, there were significant differences between the experimental and control groups in terms of CVA, shoulder tilt, COP path-length, and COP velocity. Conclusions: This study demonstrated that Pilates exercises had positive effects on shoulder posture and balance. The use of EMG-light provided real-time visual feedback on muscle contraction during Pilates exercise. However, the experimental group did not show significant improvements compared to the control group, which performed Pilates exercises without feedback.

• Journal of Korea Port Economic Association
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• v.39 no.3
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• pp.61-73
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• 2023

When conducting metaverse-based logistics education, educational, entertainment, and sense of reality were presented as preceding factors as factors that content should have, and the effect on learner satisfaction by mediating learner participation was verified. The results and implications are as follows. First, educational, entertainment, and presence were found to be important factors that can improve learners' participation. Since it is a content provided as part of university education, it can be expected that the educational value will be the highest, but entertainment has been identified as the most influential variable. Therefore, in order for metaverse-based logistics education to induce learners' participation, it is necessary to plan contents that students can enjoy and enjoy. Second, it was found that learner participation has a positive effect on learning satisfaction. Although it is a virtual world, if it is real and you can interact with other learners, you will be satisfied with your learning. Therefore, it is necessary to develop contents that can induce learners' participation in order to continuously provide learning satisfaction when providing metaverse-based logistics education.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.821-830
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• 2023

The advancement of Internet network technology has triggered the emergence of new OTT video content platforms, increasing demand for content and altering consumption patterns. This trend is bringing positive changes to the South Korean animation industry, where diverse and high-quality animation content is becoming increasingly important. As investment in technology grows, video production technology continues to advance. Specifically, 3D animation and VFX production technologies are enabling effects that were previously unthinkable, offering detailed and realistic graphics. The Fourth Industrial Revolution is providing new opportunities for this technological growth. The rise of Artificial Intelligence (AI) is automating repetitive tasks, thereby enhancing production efficiency and enabling innovations that go beyond traditional production methods. Cutting-edge technologies like 3D animation and VFX are being continually researched and are expected to be more actively integrated into the production process. Digital technology is also expanding the creative horizons for artists. The future of AI and advanced technologies holds boundless potential, and there is growing anticipation for how these will elevate the video content industry to new heights.

• Journal of Positioning, Navigation, and Timing
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• v.12 no.4
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• pp.359-367
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• 2023

In order to ensure the high-integrity of reference stations of satellite navigation system, cycle slip should be precisely monitored and compensated. In this paper, we proposed a cycle slip algorithm for the integrity monitoring of the reference stations. Unlike the legacy method using the Melbourne-Wübbena (MW) combination and ionosphere combination, the proposed algorithm is based on ionosphere combination only, which uses high precision carrier phase observations without pseudorange observations. Two independent and complementary ionosphere combinations, Ionospheric Negative (IN) and Ionospheric Positive (IP), were adopted to avoid insensitive cycle slip pairs. In addition, a second-order time difference was applied to the IN and IP combinations to minimize the influence of ionospheric and tropospheric delay even under severe atmosphere conditions. Then, the cycle slip was detected by the thresholds determined based on error propagation rules, and the cycle slip was identified through weighted least square method. The performance of the proposed cycle slip algorithm was validated with the 1 Hz dual-frequency carrier phase data collected under the difference levels of ionospheric activities. For this experiment, 15 insensitive cycle slip pairs were intentionally inserted into the raw carrier phase observations, which is difficult to be detected with the traditional cycle slip approach. The results indicate that the proposed approach can successfully detect and compensate all of the inserted cycle slip pairs regardless of ionospheric activity. As a consequence, the proposed cycle slip algorithm is confirmed to be suitable for the reference station where real time high-integrity monitoring is crucial.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.1073-1080
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• 2023

This study aims to explore the psychological factors influencing the persuasive effect of virtual influencers, with a specific focus on the impact of social exclusion. Additionally, it examines the mediating effect of parasocial relationships on advertising effectiveness. To achieve these goals, the study conducted an experiment using a 2 (influencer type: human vs. virtual human) × 2 (social exclusion: social exclusion vs. social acceptance) between-group factorial design. The results revealed that consumers who experienced social exclusion exhibited more positive attitudes toward the influencer and the product, higher intentions to purchase the product, and a greater willingness to share or recommend it, especially when the influencer was a real human (vs. a virtual influencer). These moderating effects were found to be mediated by parasocial relationships.

• International Journal of Computer Science & Network Security
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• v.23 no.10
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• pp.97-106
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• 2023

Sentiment analysis using social network platforms such as Twitter has achieved tremendous results. Twitter is an online social networking site that contains a rich amount of data. The platform is known as an information channel corresponding to different sites and categories. Tweets are most often publicly accessible with very few limitations and security options available. Twitter also has powerful tools to enhance the utility of Twitter and a powerful search system to make publicly accessible the recently posted tweets by keyword. As popular social media, Twitter has the potential for interconnectivity of information, reviews, updates, and all of which is important to engage the targeted population. In this work, numerous methods that perform a classification of tweet sentiment in Twitter is discussed. There has been a lot of work in the field of sentiment analysis of Twitter data. This study provides a comprehensive analysis of the most standard and widely applicable techniques for opinion mining that are based on machine learning and lexicon-based along with their metrics. The proposed work is helpful to analyze the information in the tweets where opinions are highly unstructured, heterogeneous, and polarized positive, negative or neutral. In order to validate the performance of the proposed framework, an extensive series of experiments has been performed on the real world twitter dataset that alter to show the effectiveness of the proposed framework. This research effort also highlighted the recent challenges in the field of sentiment analysis along with the future scope of the proposed work.

• Journal of Information Technology Services
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• v.22 no.5
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• pp.51-70
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• 2023

The Personal Information Protection Commission has been promoting the adoption of co-regulation to replace/improve the existing self-regulation programs since 2022. While the Commission's co-regulation framework has received positive feedback for its contribution to address the regulatory issues, it has also faced criticism for being seen as "co-regulation in appearance only without any real differentiation from existing self-regulation." This study aims to examine the case of industry-specific co-regulation proposed by the Personal Information Protection Commission, with the objectives of 1) determining whether their approach can be categorized as a type of co-regulation with differentiation from the existing self-regulation programs, and 2) proposing improvements for successful regulation. The 'co-regulation' of the Commission can be classified as a form of co-regulation that differs with traditional self-regulation, as it involves government and private organizations collaborating to establish self regulatory codes reflecting industry-specific characteristics as well as provides interest groups with incentives to comply with the codes. The co-regulation framework is evaluated to some extent as successful, but there is still room for improvement in three major aspects. (1) When selecting the areas for co-regulation, a focus should be placed on areas where technological changes are rapid, and government regulations should be applied in areas where they are not. (2) It is necessary to enhance the expertise of regulatory agencies, and (3) ensuring the democratic nature of regulation, such as encouraging the participation of civil organizations, is necessary.

• Tribology and Lubricants
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• v.39 no.6
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• pp.221-227
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• 2023

A rotordynamic system consists of components that undergo rotational motion. These components include shafts, impellers, thrust collars, and components that support rotation, such as bearings and seals. The motion of this type of rotating system can be modeled as two-dimensional motion and, accordingly, the equation of motion for the rotordynamic system can be represented using complex coordinates. The directional frequency response function (dFRF) can be derived from this complex coordinate system and used as an effective analytical tool for rotating machinery. However, the dFRF is not widely used in the field because most previous studies and commercial software are based on real coordinate systems. The objective of the current study is to introduce the dFRF and show that it can be an effective tool in rotordynamic analysis. In this study, the normal frequency response function (nFRF) and dFRF are compared under rotordynamic analysis for isotropic and unisotropic rotors. Results show that in the nFRF, the magnitude of the response is the same for both positive and negative frequencies, and the response is similar under all modes. Consequently, the severity of the mode cannot be identified. However, in the dFRF, the forward and backward modes are clearly distinguishable in the frequency domain of the isotropic rotor, and the severity of the mode can be identified for the unisotropic rotor.

• Clinical and Experimental Vaccine Research
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• v.12 no.1
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• pp.47-59
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• 2023

Purpose: The development and study of hepatitis C virus (HCV) vaccine candidates' individualized responses are of great importance. Here we report on an HCV DNA vaccine candidate based on selected envelope (E1/E2) epitopes. Besides, we assessed its expression and processing in human peripheral blood mononuclear cells (PBMCs) and in vivo cellular response in mice. Materials and Methods: HCV E1/E2 DNA construct (EC) was designed. The antigen expression of EC was assayed in PBMCs of five HCV-uninfected donors via a real-time quantitative polymerase chain reaction. Serum samples from 20 HCV antibody-positive patients were used to detect each individual PBMCs expressed antigens via enzyme-linked immunosorbent assay. Two groups, five Swiss albino mice each, were immunized with the EC or a control construct. The absolute count of lymph nodes' CD4⁺ and CD8⁺ T-lymphocytes was assessed. Results: Donors' PBMCs showed different levels of EC expression, ranging between 0.83-2.61-fold in four donors, while donor-3 showed 34.53-fold expression. The antigens expressed in PBMCs were significantly reactive to the 20 HCV antibody repertoire (all p=0.0001). All showed comparable reactivity except for donor-3 showing the lowest reactivity level. The absolute count % of the CD4⁺ T-cell significantly increased in four of the five EC-immunized mice compared to the control group (p=0.03). No significant difference in CD8⁺ T-cells % was observed (p=0.89). Conclusion: The inter-individual variation in antigen expression and processing dominance was evident, showing independence in individuals' antigen expression and reactivity levels to antibodies. The described vaccine candidate might result in a promising natural immune response with a possibility of CD4⁺ T-cell early priming.

• Smart Media Journal
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• v.13 no.5
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• pp.45-51
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• 2024

Recently, realistic contents such as virtual reality(VR) and augmented reality (AR) are widely used for education to provide beneficial learning environments with thee-dimensional(3D) information and interactive technology. Specially, AR technology will be helpful to intuitively understand by adding virtual objects registered in the real learning environment with effective ways. In this paper, we developed an AR learning system using 3D spatial information in the 2D based textbook for studying math related to geometry. In order to increase spatial learning effect, we applied to solid shapes such as prisms and pyramids in mathematics education process. Also, it allows participants to use various shapes and expression methods (e.g., wireframe mode) with interaction. We conducted the experiment with our AR system, evaluated achievement and interest. Our experimental study showed positive results, our results are expected to provide effective learning methods in various classes through realistic visualization and interaction methods.