Earticle

Background/Objectives: The Korean Ministry of Education is planning to introduce artificial intelligence education into the 2022 revised curriculum, which will be applied from 2025. To this end, it has been announced that related learning materials will be developed starting next year to expand AI education in Elementary, Middle and High school classes. To this end, it has been announced that related learning materials will be developed starting next year to expand AI education in Elementary, Middle and High school classes. It is said that high schools will be opening new AI-related courses from next year. As everyone calls artificial intelligence technology, there is no technology education anywhere else in artificial intelligence education. But this scene is very familiar. It's like watching a déjà vu. It was the same when SW education was introduced into the 2015 revised curriculum. Although SW is an area of technology, there was no technology education in SW education. As a result, technology teachers are facing big and small difficulties in the school field. But wouldn't it be possible to experience the same situation again like Deja Vu? At first, I didn't know how to suffer so far, so even if I did, I couldn't go through the same thing twice. So, what should our respected technology teachers prepare for?

Background/Objectives: Home-based care for the elderly is still a valued and accepted method for the elderly in China because of the ancient concept of loyalty and filial piety culture. The design of residential structures in current metropolitan communities, however, falls well short of addressing the behavioural and psychological requirements of the aged. In order to accommodate the growth of an elderly society, it has become crucial to construct barrier-free amenities in metropolitan neighbourhoods. Methods/Statistical analysis: The idea of barrier-free design suitable for older people is utilised to research outdoor barrier-free facilities in metropolitan areas. Findings: Examine and comprehend the requirements of the aged for an age-appropriate design through the initial investigation. Read and briefly describe the pertinent reports on the elderly and barrier-free research. Second, a field investigation and data collection were done on the outdoor barrier-free facilities in the following Kunming neighbourhoods: A Kangyuan Apartment, B Wancaicheng Apartment Phase 1, C Binjiang Junyuan Apartment, D Jinshouyuan Apartment, E golden times Apartment, F Jinyue Four Seasons Apartment, and G Jiangdong Fashion Home Apartment. Improvements/Applications: In order to address the issue of standard construction of outdoor barrier-free facilities in residential areas, the analysis and reconstruction suggestions for outdoor facilities in residential areas are presented.

Background/Objectives : This study takes focusing on TikTok live commerce in China, divides the influence of internet celebrity into 2 factors, such as charm and professionalism, and finds out its influence on the intention of recommendation and the media effect of input and perceived value. In order to confirm this argument, this study makes an empirical analysis on Chinese native Chinese and Chinese students in Korea. Methods/Statistical analysis :The analysis results show that the charm and professionalism of online red have a positive impact on recommendation intention, and confirm the media role of investment and perceived value in the relationship between internet celebrity`s influence and recommendation intention. Findings : Based on the above results, it is confirmed that the charm and professionalism of internet celebrity are important reasons to improve users' recommendation intention. Improvements/Applications : In addition, the enlightenment is put forward through this study, and the limitations and future research directions are discussed.

Background/objectives: Due to the increase in mobility handicapped, related measures that reflect the needs of vulnerable people have been proposed in various fields. In particular, when entering an aging society, it is necessary to prepare for an overall social system. As the opportunities and demands for social participation of the elderly and the disabled are increasing, the need for research on the environment and mobility support for the mobility handicapped is increasing. Method/Statistical analysis: In the case of elderly people, the right to move has a close relationship with the economy when the guarantee for retirement life is insufficient. For the disabled, it is necessary to support movement to welfare facilities and medical support facilities, such as participation in rehabilitation and social education. System improvement and legislation are being made to guarantee the right to move for people with reduced mobility, but there are limitations in actual mobility support. Therefore, in this thesis, we intend to present a plan and a prospect of using ICT environment to support mobility of the mobility handicapped. Findings: By providing mobility support services in an ICT environment tailored to the types and characteristics of mobility handicapped, reflecting the mobility characteristics and requirements of mobility handicapped, we will improve the mobility autonomy of vulnerable people and provide welfare services and opportunities for social participation. Improvements/Application: Analyzing case studies on various mobility support using the ICT environment, we propose a plan to guarantee the right to move for the mobility handicapped.

Background/Objectives Deep learning which main technology in AI has high growth with being applied to field of speech recognition and Image classification. Especially, Deep learning technology in the field of Image classification is being applied as a core technology to Self-driving and crime prevention monitoring system that is recently emerging as the future industry. Methods/Statistical analysis: Various algorithm which is improved and developed CNN being able to do image process is suggested as Deep learning model in image recognition field. In this paper, we introduce various object detection algorithm including CNN. And explore most representative algorithms just R-CNN, Fast R-CNN, Faster R-CNN and difference between versions of YOLO devised to detect and track in real time. Findings: This paper evaluates deep learning algorithm’s performance by comparative analysis about mAP (mean average precision) and FPS (frames per second). In result of performance evaluation, YOLO algorithm is confirmed as that It shows excellent result in speed that detects and recognizes object and accuracy in real time system environment. Finally, we search cases in field of autonomous driving and access control system and home anti-crime system. Improvements/Applications: In this research, we can understand object detection algorithm among speech recognition technologies and proper field in each algorithm, apply security service based on image, recommend proper algorithm in various environment just like autonomous driving and security work, etc.

Background/Objectives: This study aims to investigate the feasibility of undertaking an economic evaluation of different solvents in the production of LaCoO3 NPs prepared by the co-precipitation method. Methods/Statistical analysis: Several economic evaluation parameters were calculated in an ideal condition. Findings: The result showed that the production of LaCoO3 NPs is prospective to be carried out for more than 20 years. The GPM, PBP, CNPV/TIC, and PI showed positive while BEP, BEC, ROI, and IRR were negative. The NPs with aquadest solvent were better than ethanol and ethylene glycol. To confirm its feasibility, these calculations were varied by changing raw materials-sales and income tax costs. Changing raw materials-sales confirmed that the NPs with aquadest can maintain the GPM for increasing raw material up to 300% and decreasing sales up to -100%. The NPs with aquadest and ethanol solvents can survive up to 75% of increasing income tax while ethylene glycol is only less than 50%. Improvements/Applications: This study is very useful for predicting the feasibility in carrying out a project that produces LaCoO3 NPs.

Background/Objectives: As urbanization increases worldwide, so do the need for smart cities that enable more efficient city management. Based on smart city operational data, it explains the digital twin technologies required to predict outcomes and control according to circumstances through virtual simulations and presents related metaverse technologies. Methods/Statistical analysis: Introduction and explanation of smart city services using blockchain. The data infrastructure underlies each area, such as city operations, essential in a smart city. Findings: Therefore, blockchain is used to avoid hacking, data errors, and system failures of the existing centralized management and ensure data integrity and system stability by building a more secure server. In addition, blockchain enables the establishment of governance and free access to information through individual information sovereignty. Improvements/Applications: Most smart city models do not have a high level of authentication. Therefore, this study investigated a new smart city model that provides security and convenience to citizens by mutually complementing the virtual and real worlds by predicting urban situations through digital twins that can simulate impossible conditions in reality based on blockchain-based authentication.

Background/Objective. The COVID-19 has accelerated the conduct of online classes around the world. To administer distant learning, schools are now relying on learning management systems. With the problems of the abrupt shift to an online modality, there must be measures in place to cluster students’ characteristics in order to assist their learning requirements, struggles, and academic performances. Methods/Statistical Analysis. Based on Delone and McLean’s IS Success model, this study used quantitative approaches and exploratory techniques to explain the higher education learners’ clusters. From March to April 2021, 303 samples were randomly selected from students participating in online programs at a higher education school on Taft Avenue in Manila. Sex, school, frequency of use, time duration, and experience with the LMS were all factors in the study. Both Hierarchical Cluster Analysis and K-Means Cluster Analysis were used to classify the samples. Findings. The results revealed that there are four clusters formed which are labeled as: service-oriented, system quality-oriented, holistic-oriented, and LMS-averse. Based on the results, information quality has the greatest influence. Since the clustering analysis is non-inferential and it is used as an exploratory technique, the researchers do not guarantee a unique solution as this depends on the elements of the subjects and the variables used. Improvements/Applications. The academic stakeholders can use the cluster analysis to make the appropriate interventions to improve the online course content and enhance the students’ academic performance. Some of these appropriate interventions include creating course policies, planning the necessary training of teachers and students, and developing the online delivery of the lessons.

Background/Objectives: In a rotating machine such as Interior Permanent Magnet Synchronous Motor (IPMSM), which is widely used in industrial fields. The reluctance torque is generated by the difference when magnetic energy varies according to the relative position of the pole and slot in a slot shaped motor. The reluctance torque acts as a torque ripple in electrical equipment and causes noise and vibration. It generated by the influence of the slot in the permanent magnet device is called cogging torque, and a skew was applied as a method to reduce the cogging torque to analyze the characteristics of the motor. In this paper, we analyze the back electromotive force and torque characteristics of IPMSM motors applying 3-stage skew among various cogging torque reduction methods, and reduce torque ripple in the instantaneous and continuous sections of the motor through Finite Element Method (FEM). Findings: Therefore, in this paper, we discuss how to apply skew among many analysis methods for reducing cogging torque. It shows the procedure for reducing cogging torque by applying skew from the comparative model. Finally, it analyzes the characteristics of the existing model and the model to which the skew is applied, and indicates how much it has increased. Improvements/Applications: By applying a three-stage skew to the model applied in this paper, the effect of noise and vibration can be reduced through cogging torque reduction.

Background/objectives: With the development of IT technology and interdisciplinary convergence technology, interest in medical services, healthcare, bioinformatics, and public management is increasing. It is changing from passive disease management to active disease management using IoT devices. Methods/Statistical analysis: Due to the paradigm shift in the medical and health industries due to the Fourth Industrial Revolution, interest in disease prevention including disease management is increasing. Research on the Internet of Medical Things is being actively conducted as a method for such disease prevention and management services. Therefore, in this paper, we will examine medical ICT devices, healthcare devices, and IoMT in the IoT environment, and propose an efficient use method of IoMT for disease prevention and management and a prospect for this. Findings: In order to smoothly operate disease prevention and management based on the IoMT environment, problems such as expansion of ICT infrastructure, development of the system, and training of experts are expected to be solved. Improvements/Applications: In addition, in the use of IoMT, reorganization of policies and legal systems, improvement of security technology and awareness of personal information, and user consent for sensitive information are tasks to be resolved.