Volume 3 Issue 1: March 2024

As digital transformation accelerated after the COVID-19 pandemic, the use of metaverse has been increasing not only in the industry but also in the educational field. To adapt to the class site, it is necessary to derive a direction through foreign metaverse platforms. The following conclusions can be drawn from this study: First, it is difficult to express individuality through avatars, and non-verbal communication for conveying messages is challenging. Platforms like ZEPETO and ifland are in 3D, whereas Gather. The town is in 2D, and even then, the design is simplistic. Second, as the platforms are not specifically designed for educational purposes, there are limitations in supporting classes. Most are created for entertainment purposes. Third, most are one-time events. Particularly in the case of domestic Metaverse educational uses, the focus has been on one-time events rather than developing content that can be continuously used in classes. Fourth, most are one-time events. Particularly in the cases of domestic metaverse education cases, one-time events dominated rather than continuously available content in class. Fourth, when introducing metaverses into education, highlighting the purpose and benefits of using metaverse technology is crucial. Fifth, creating a user-friendly interface with a clear and simple menu is essential. Sixth, strong interactions between metaverse providers, suppliers, and users are essential. In this study, an analysis of the usage of metaverse in in the educational field and the direction of studying metaverse in this context in the future has been done. It is expected that the results of this study can be used as basic data in schools and development centers or development related to education content.

As outside gatherings were banned after Corona, online education remotely conducted at home instead of at school or an academy has become commonplace. This study examined the current state of the education industry post-COVID-19, prior research on augmented reality applications, and education case studies using Edutech. Through this research, the necessity of designing and developing customized explanation applications using the metaverse was established, and an AR education application was proposed using application design elements. AR application provides an explanatory video in page format using AR and provides an educational function that allows learning without falling behind in the middle through communication between users.

In data transmission systems, ensuring reliable communication while maximizing spectrum efficiency is a challenge. Code Division Multiple Access (CDMA) systems, widely used in wireless networks, depend on spreading codes to manage interference and support users. Achieving a balance between low cross-correlation and optimal autocorrelation properties is complex and involves trade-offs that affect system performance, especially as modern systems demand higher data rates and efficiency. In systems that use spectral spreading, achieving optimal autocorrelation characteristics often compromises cross-correlation characteristics, and vice versa. Codes with low cross-correlation values typically exhibit high out-of-phase autocorrelation values. Therefore, a balance between autocorrelation and cross-correlation properties is necessary for an efficient CDMA communication system. These desirable correlation properties are crucial in both periodic and aperiodic contexts. Recent innovations have led to a patented code generator derived from Golay codes/sequences, which exhibits low periodic cross-correlation values and a periodic autocorrelation function characterized by a prominent correlation peak and null values surrounding it. This development not only enhances signal quality but also mitigates interference in multi-user communication scenarios, making it particularly relevant for modern wireless networks. Furthermore, a novel solution is proposed to minimize the Peak-to-Average Power Ratio (PAPR) and reduce the cost of a new Orthogonal Perfect Discrete Fourier Transform Golay (OPDG) power transmission circuit. This approach leverages advanced signal processing techniques to achieve energy efficiency, addressing a critical challenge in high-performance communication systems. Experimental results demonstrate the practicality of these innovations in real-world implementations, paving the way for future advancements in CDMA technology.

Children with an autism spectrum disorder tend to lose focus quickly. The possibility of displaying changeable, three-dimensional environments in virtual reality can increase the user's concentration time due to the stimuli used. Through the use of virtual reality, an individual assistant can be provided for the daily care and encouragement of learning for children with autism spectrum disorders. To investigate the feasibility of a virtual assistant and the acceptability of virtual reality among autistic children, a review of the literature and conducted studies is undertaken. The selection, identification and evaluation of the relevant research results is carried out according to the preferred reporting items of the systemic literature search.

This research employs non-contact plantar 3D data scanning and gait analysis methodologies to establish a rehabilitation assistance system tailored for foot arch anomalies. The system utilizes a non-contact plantar 3D data model to mitigate dysfunctions within the plantar skeletal-muscular system. Its objectives include facilitating personalized remote diagnosis of foot arch anomalies, enabling patients to monitor their rehabilitation progress, and supporting at-home rehabilitation efforts. A dataset comprising 124 cases of physiological foot arch anomalies in adults aged 18 and above was collected and analyzed. The findings demonstrate the system’s flexibility, high spatial resolution, personalization, and innovation. Notably, the system achieves real-time measurement of positive pressure and shear force distribution at the plantar interface, facilitates the construction of accurate geometric models, and yields high-quality plantar three-dimensional coordinate data. This research contributes theoretical and technical underpinnings for the application of footwork anomaly diagnosis and correction.