• Journal of Industrial Convergence
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• v.20 no.12
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• pp.227-233
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• 2022

The purpose of this research is to grasp the purpose of patent applications by companies. Based on this, we grasped the purpose of the patent application through consideration of previous research, selected 10 factors through expert Delphi, and conducted a questionnaire survey on these factors among practitioners in charge of patents in Chinese companies. Analysis results, Improve the technological image of your company, For use in negotiation: cross licensing, joint venture, Improve the situation in R&D cooperations, Enhance Reputation, Measure performance, Aacquire venture capital, Prevent patent infringement suits, Licensing Revenue, competitors' patenting and application activities, prevent copying or protect own technology from imitation. We hope that the results of this research will be useful as practical guidelines for understanding and applying factors that companies should prioritize when filing patent applications.

• Journal of the Korea Society for Simulation
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• v.31 no.2
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• pp.1-10
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• 2022

The packaging plastic manufacturing(blown film) industry has long developed in China, but most of them are small/medium-sized enterprises, and it is very rare to have appropriate operation plans suitable for their own business. The packaging plastic manufacturing industry(blown film) follows a typical Make-To-Order method, and the sequence of processing orders is very important. Waste of materials incurred by frequent conversions of production cannot be avoided, and generally, related costs incurred during conversion production are also different. Therefore, this study developed a job sequence determination model for improving operating profits using @RISK simulation software, compared and analyzed 3 actionable clustering treatment methods proposed by technical managers and field experts under the actual situation of the factory.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.61-68
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• 2022

This study examines the impact of consumers' subjective perception on the quality loyalty of the Internet of things, explores academic innovation schemes, and puts forward business strategies for on-site optimization of the industry. The research methods use online survey methods for Chinese consumers who have used or bought Xiaomi IoT products. The results show that the inherent attributes of Internet of things products have an impact on brand image, and brand image has an impact on customer loyalty. Brand image shows complete media effect in the relationship between hyper-connectivity and customer loyalty of Internet of things products. For the enterprises that develop the Internet of things, obtaining the perceived brand image has a very important strategic significance in expanding the loyal customer base.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.31 no.5
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• pp.919-939
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• 2021

As a next-generation communication technology, 5G networks are capable of handling large amounts of traffic based on higher speeds, shorter communication delays, and higher connectivity compared to 4G networks. In this 5G network environment, base stations are installed all over the city at high density due to their characteristics, and are connected to user terminals to provide services. Therefore, if the base station is damaged by a malicious attacker, it is expected to cause great damage to users and society as a whole. So the need for secure communication equipment such as 5G base stations has emerged. Therefore, in this paper, we propose the security functional requirements derived using threat modeling, a systematic methodology for 5G base stations, and the security assurance requirements at the level that can cope with the backdoor issues. The security requirements proposed in this paper can be used for base station design and development to construct a secure network environment as a security evaluation standard for 5G base stations.

• Advanced Industrial SCIence
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• v.1 no.1
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• pp.7-15
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• 2022

To adopt the development in the medical scenario IoT developed towards the advancement with the processing of a large amount of medical data defined as an Internet of Medical Things (IoMT). The vast range of collected medical data is stored in the cloud in the structured manner to process the collected healthcare data. However, it is difficult to handle the huge volume of the healthcare data so it is necessary to develop an appropriate scheme for the healthcare structured data. In this paper, a machine learning mode for processing the structured heath care data collected from the IoMT is suggested. To process the vast range of healthcare data, this paper proposed an MTGPLSTM model for the processing of the medical data. The proposed model integrates the linear regression model for the processing of healthcare information. With the developed model outlier model is implemented based on the FinTech model for the evaluation and prediction of the COVID-19 healthcare dataset collected from the IoMT. The proposed MTGPLSTM model comprises of the regression model to predict and evaluate the planning scheme for the prevention of the infection spreading. The developed model performance is evaluated based on the consideration of the different classifiers such as LR, SVR, RFR, LSTM and the proposed MTGPLSTM model and the different size of data as 1GB, 2GB and 3GB is mainly concerned. The comparative analysis expressed that the proposed MTGPLSTM model achieves ~4% reduced MAPE and RMSE value for the worldwide data; in case of china minimal MAPE value of 0.97 is achieved which is ~ 6% minimal than the existing classifier leads.