The fourth industrial revolution has evolved at an exponential pace that has raised the level of virtual reality (VR) technology industry development. The VR-based contents industry has significantly grown in convergence with other areas; however, its production suffers from lack of skilled human resources. In this regard, this paper provides a study on educational courses dealing with VR contents production. The study identifies the current status of VR contents industry and evaluates the training contents currently being used at relevant training institutions. As a result, an industrial demand-customized educational model and its operations based on cooperative relationship between training institutions and industrial companies by means of cooperative projects and mentoring was designed. The outcome of the evaluation on the results of training courses operation served as a basis for the design of the proposed educational model and indicates the effectiveness of the training.
This paper describes an intrafascicular neural interface for peripheral nerve implantation. The flexible penetrating microelectrode array with varying lengths (vl-FPMA), interconnection cable, wireless recording and stimulator modules were designed and fabricated to detect neural signals from the peripheral nerves or to stimulate them. The vl-FPMA consisted of silicon needles and polydimethylsiloxane (PDMS) platform supporting the needles. The length of electrode needles varied from 600 to 1000 μm. The interconnection cable was fabricated as parylene-metal-parylene sandwiched structure. The wireless recording/stimulation modules were also developed and connected with the electrodes. The integrated system was implanted in the sciatic nerve of beagles and the recording capability of the integrated system was demonstrated successfully.
As of 2020, public data for game ratings provided by Game Ratings And Administration Committee(GRAC) are more limited than public data for movie and video ratings provided by Korea Media Ratings Board and do not provide data which allow us to see information on ratings clearly and in detail. To get information on game ratings, we need to find information by searching for specific target on homepage which is inconvenient for us. In order to improve such inconvenience and extend scope of provision in public data, the author of this paper intends to study public data API which has been extended based on information on video ratings. To draw items to be extended, this study analyzes data for ratings on homepage of GRAC and designs collection system to build database. This study intends to implement system that provides data collected based on extended public data items in a form which users want. This study is expected to provide information on ratings to GRAC which will strengthen fairness and satisfy game users and people’s rights to know and contribute to promotion and development of game industry.
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