• International Journal of Advanced Culture Technology
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• v.11 no.1
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• pp.45-54
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• 2023

The digital age start in earnest with the widespread use of the Internet. As a digital product, virtual idols bring new value to the design and dissemination of commercial brand images. "Luo Tianyi" is the world's first avatar and VOCALOID voice bank of Chinese. It has a large number of fans in China and is widely used in brand promotion. Therefore, "Luo Tianyi" is taken as the research object. Initially, we investigated the virtual idols through books, literature on the internet and other materials. Then we discussed semiotics and theories related to culture code brand design methodology (CCBD). After that, putting the above theories into practice, combined with brand design cases, we analyzed the strategy of virtual idols in brand promotion and dissemination, at last, we have the conclusion as followed. The results show that the virtual idols, visual symbol of "Luo Tianyi" can express the Index and Symbol corresponding to the brand information according to the characteristics of the brand. As an image of cultural code, "Luo Tianyi" can present three visual images at the same time, which are contemporary, traditional and future. In addition, these three visual images are presented in a strong and weak combination, which has a positive impact on the visual communication of the brand.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.2
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• pp.124-132
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• 2023

In this paper, we present a simple classification model based on statistical features and demonstrate the successful implementation of a brain-computer interface (BCI) based light on/off control system. This research shows study and development of light on/off control system based on BCI technology, which allows the users to control switching a lamp using electroencephalogram (EEG) signals. The logistic regression algorithm is used for classification of the EEG signal to convert it into light on, light off control commands. Training data were collected using 14-channel BCI system which records the brain signals of participants watching a screen with flickering lights and saves the data into .csv file for future analysis. After extracting a number of features from the data and performing classification using logistic regression, we created commands to switch on a physical lamp and tested it in a real environment. Logistic regression allowed us to quite accurately classify the EEG signals based on the user's mental state and we were able to classify the EEG signals with 82.5% accuracy, producing reliable commands for turning on and off the light.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.2
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• pp.102-111
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• 2023

We would like to find out how restaurant start-up education affects restaurant start-ups. Recently, as low barriers to entry and endemics are approaching, more and more people want to start a restaurant business. However, while the market size of restaurant start-ups increases due to the high youth unemployment rate and changes in the social population structure, the probability of failure of start-ups is increasing due to the high competition rate. Therefore, this study aims to examine whether restaurant start-up education affects restaurant start-ups through entrepreneurship. This study conducted a survey on prospective start-ups. After that, demographic analysis and multiple regression analysis were performed using the SPSS 23.0 program. As a result, it was found that entrepreneurship had an effect on restaurant start-ups. However, in future studies, more research is needed on the direction of improving and developing restaurant start-up education.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.2
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• pp.81-88
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• 2023

As a result of this study, the income generation effect generatded by regional universities for the region is KRW 130.6 billion (direct and indirect income effect KRW 90.9 billion, induced income effect KRW 39.6 billion). In addition, it is estimated that the effect of regional universities on inducing employment in the region is 2,145 per year. Unless quality jobs are secured, the outflow of population to the metropolitan area will accelerate, and the disappearance of local areas will emerge as a social problem in the near future. Considering the effect of local universities on the local economy revealed through the results of this study, that is, the income and job creation effects, the government will be able to prevent local extinction by providing bold financial support to local universities. If it is difficult to afford it with government finances alone, it can be solved by opening the door to universities for admission through donations, which many advanced countries are introducing..

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.5
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• pp.1561-1583
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• 2022

Context: Testing is one of the techniques that can assure the quality of software including the domain of Software Product Line (SPL). Various techniques have been deliberated to enhance the quality of SPL including Model-based Testing (MBT). Objective: The objective of this study is to analyze and classify trends of MBT in SPL covering the solutions, issues and evaluation aspects by using taxonomy form. Method: A Systematic Literature Review (SLR) was conducted involving 63 primary studies from different sources. The selected studies were categorized based on their common characteristics. Results: Several findings can guide future research on MBT for SPL. The important finding is that the multiple measurements are still open to improving current metrics to evaluate test cases in MBT for SPL. The multiple types of measurement required a trade-off between maximization and minimization results to ensure the testing method which could satisfy multiple test criteria for example cost and effectiveness at the same time.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.2
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• pp.207-212
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• 2022

The rail transport system is developing into a smart railroad that pursues intelligence beyond the automation stage of each component in recent years. Smart railways based on ICT (: Information & Communications Technology) technologies such as IoT (: Internet of Things), big data, deep learning, AI (: Artificial Intelligence), and block chain are expected to cause many developmental changes in domestic and foreign railway technologies. In this paper, we look at the domestic and international standardization trends of railway communication technology, which forms the basis of such smart railway system, and discuss the direction for train control technology(CBTC) in Korea's railway transportation system to become a leading technology(UBTC) in the world railway industry in the future.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.6
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• pp.1545-1559
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• 2023

In the cloud environment, microservices are implemented through Kubernetes, and these services can be expanded or reduced through the autoscaling function under Kubernetes, depending on the service request or resource usage. However, the increase in the number of nodes or distributed microservices in Kubernetes and the unpredictable autoscaling function make it very difficult for system administrators to conduct operations. Artificial Intelligence for IT Operations (AIOps) supports resource management for cloud services through AI and has attracted attention as a solution to these problems. For example, after the AI model learns the metric or log data collected in the microservice units, failures can be inferred by predicting the resources in future data. However, it is difficult to construct data sets for generating learning models because many microservices used for autoscaling generate different metrics or logs in the same timestamp. In this study, we propose a cloud data refining module and structure that collects metric or log data in a microservice environment implemented by Kubernetes; and arranges it into computing resources corresponding to each service so that AI models can learn and analogize service-specific failures. We obtained Kubernetes-based AIOps learning data through this module, and after learning the built dataset through the AI model, we verified the prediction result through the differences between the obtained and actual data.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.6
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• pp.191-197
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• 2023

The farming diary has significant value for farmers as it serves as crucial documentation, supporting evidence for eco-friendly and GAP (Good Agricultural Practices) certifications, as well as when applying for diverse subsidies. A detailed farming diary holds immense value, yet many farmers face challenges in document preparation, so even though training is provided on how to write a farming diary, making these remains impracticable for some. Therefore, this paper suggests using ChatGPT as a solution, enabling the effortless addition of comprehensive information to existing farming diary. With this method, it is expected that enhancing the thoroughness of the farming diary will significantly amplify its worth as robust certification evidence, thereby providing substantial support for future farming endeavors.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.6
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• pp.75-80
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• 2023

We show the design of fast invertible block transforms that can replace the DCT in future wireless and portable computing application. This is called binDCT. In binDCT, both the forward and the inverse transforms can be implemented using only binary shift and addition operation. And the binDCT inherits all desirable DCT characteristics such as high coding gain, no DC leakage, symmetric basis functions, and recursive construction. The binDCT also inherits all lifting properties such as fast implementations, invertible integer-to-integer mapping, in-place computation. Thus, this method has advantage of fast implementation for complex DCT calculations. In this paper, we present computation costs and performance analysis between DCT and binDCT using Shapiro's EZW.

• International Journal of Computer Science & Network Security
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• v.23 no.10
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• pp.188-198
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• 2023

In this era of globalization without limitation, many security issues occur, especially in a public network. Internet users significantly increased every single day. However, only some users are aware of security issues when they use Internet services. For the campus network environment, both staffs and students are susceptible to security threats such as data theft, unauthorized access and more due to different levels of awareness towards security threats. This paper is to study the level of awareness among students on security issues based on KSA model. As a case study, the survey was distributed among students in the UTeM campus network. A quantitative study was conducted, and a structured questionnaire has been designed and distributed among students. The variables were focused on three (3) aspects, which are Knowledge, Skill and Ability (KSA). The finding shows the relationship between KSA with the level of awareness among students has been revealed. From the result, Knowledge is the most significant aspect that contributes to high awareness. For the future, a study about increasing students' knowledge about security issues should be addressed.