• Journal of Internet Computing and Services
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• v.21 no.6
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• pp.105-112
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• 2020

The present study aims to explore news sharers' characteristic. Specifically, it aims to look at news sharers' demographic characteristics, old media news usage and new media news usage. Besides, it also explores factors affecting news sharing behavior. The study used the second data of Korea Press Foundation. Findings from surveys suggest that first, news sharers are younger and have higher education than not news sharers. Second, news sharers use less news through old media while more news through new media. Third, political orientation, portal, SNS and online video platform new usage, messenger news reliability have positive effects on news sharing, while age and portal news reliability have negative effects on it. Based on these findings, implication, limitations, and topics for future research are discussed.

• Journal of Internet of Things and Convergence
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• v.6 no.4
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• pp.59-64
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• 2020

Recently, many difficulties have been faced in all parts of the world due to the impact of COVID-19. Personally, household income is decreasing sharply as many jobs disappear, and economically, many SMEs are increasingly going bankrupt. It is known that this phenomenon is highly likely to continue for the time being. In such a situation, the smart factory support project provides opportunities for difficult SMEs to improve productivity and change the corporate structure. In this study, the current status of smart factory promotion was examined, and problems occurring in the process of promoting smart factory support projects were identified. The improvement plans were derived so that more efficient projects could be promoted in the future.

• Journal of Internet of Things and Convergence
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• v.6 no.4
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• pp.65-72
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• 2020

In this paper, we developed a web-based DApp system based on a private blockchain by applying machine learning techniques to automatically identify Android malicious apps that are continuously increasing rapidly. The optimal machine learning model that provides 96.2587% accuracy for Android malicious app identification was selected to the authorized experimental data, and automatic identification results for Android malicious apps were recorded/managed in the Hyperledger Fabric blockchain system. In addition, a web-based DApp system was developed so that users who have been granted the proper authority can use the blockchain system. Therefore, it is possible to further improve the security in the Android mobile app usage environment through the development of the machine learning-based Android malicious app identification block chain DApp system presented. In the future, it is expected to be able to develop enhanced security services that combine machine learning and blockchain for general-purpose data.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.4
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• pp.117-122
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• 2021

Permanent magnet synchronous motors can secure high power density and efficiency, but have problems in that the materials required for manufacturing are expensive and design is somewhat more difficult than induction motors. Therefore, it is necessary to develop an optimal motor that considers both efficiency and maintenance convenience and related control research. In addition, driving by a practical motor leads to a request to increase the highest efficiency in a narrow rated range, an increase in average efficiency in the entire electric driving range, and an increase in average output. Due to this movement, a reluctance motor that does not require a permanent magnet is being considered as an alternative. In this paper, in line with the issues of the times that require the development of future technology that can replace rare earth permanent magnet motors and the technological preemption of rare earth reduction motors and rare earth motors, switched reluctance motors without permanent magnet For motor, SRM), modeling through machine language (C language) and the characteristics of SRM accordingly are to be studied.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.4
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• pp.31-36
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• 2021

Colour properties can be classified based on hue, brightness, and saturation, and the characteristics of colour perception vary by colour property. In terms of colour perception, surrounding colours are viewed together rather than independently, and the characteristics of the original colour perception may vary depending on the colour characteristics of the surrounding. Thus far, research on colour perception and sensibility has focused on a monotonic environment, which is different from colour perception in real life. As such, a fundamental study on colour perception considering surrounding colours must be conducted. In this study, a psychophysical experiment was conducted, and the results were analysed to study the colour perception characteristics by edge brightness, Edge brightness was set as a variable based on the visual traits that are most sensitive to brightness, and the experiment was conducted using the Munsell colour system to specify the stimulus colour. Based on the analysis of the experimental outcomes, this study reveals the significance of fundamental research data on the visual and perceptual characteristics of colour perception with regard to edge brightness and provides directions for future research.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.4
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• pp.157-169
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• 2021

Establishing an investment evaluation system for public ICT projects is ultimately to increase the success rate of public ICT projects in which government finances are invested and to revitalize the projects, thereby establishing a foundation for national economic growth and enhancing the competitiveness of the global ICT industry. This study tried to empirically verify the effect of public ICT project investment evaluation factors established according to the existing evaluation system on actual project success, and to suggest directions for future investment evaluation factors. Five evaluation factors such as public interest, economic feasibility, technology, policy and budget efficiency were derived through prior research, and the effect of these evaluation criteria on actual project success was verified through questionnaires from experts who directly participated in the actual project. In addition, it was confirmed whether the government's support system had a moderating effect between the investment evaluation factors and the project success of the ICT project. The reliability and validity of measurement tools, structural model analysis, and path analysis were empirically analyzed, and the significance of existing ICT investment evaluation factors was verified.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.2
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• pp.15-20
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• 2022

Colours are primarily composed of three properties - hue, brightness, and saturation, However, each property of colour is not independently visually recognised. Previous studies on saturation and brightness found that brightness was sensed differently depending on the degree of purity of the saturation; however, most of the psychophysical experiments used subtractive mixing. Therefore, fundamental research on colour perception based on display is needed. In this study, we conducted a psychophysical experiment and to investigate the visual characteristics of saturation and brightness based on a display with a self-luminous system. After selecting a certain brightness in the additive-mixed display, the experiment was conducted by adjusting the saturation of the main colours. Thus, by analysing the experimental results, we determined whether the results were the same as ones from subtractive mixing and whether the data are meaningful for the characteristics of colour perception. We also suggested future research directions.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.2
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• pp.51-62
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• 2022

This study suggests a design of predictive modeling for a hospital fall risk based on inpatients' posture. Inpatient's profile, medical history, and body measurement data along with basic information about a bed they use, were used to predict a fall risk and suggest an algorithm to determine the level of risk. Fall risk prediction is largely divided into two parts: a real-time fall risk evaluation and a qualitative fall risk exposure assessment, which is mostly based on the inpatient's profile. The former is carried out by recognizing an inpatient's posture in bed and extracting rule-based information to measure fall risk while the latter is conducted by medical staff who examines an inpatient's health status related to hospital fall risk and assesses the level of risk exposure. The inpatient fall risk is determined using a sigmoid function with recognized inpatient posture information, body measurement data and qualitative risk assessment results combined. The procedure and prediction model suggested in this study is expected to significantly contribute to tailored services for inpatients and help ensure hospital fall prevention and inpatient safety.

• Journal of Internet Computing and Services
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• v.23 no.3
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• pp.77-85
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• 2022

Unlike previous studies that focused on the diversity of YouTube content, this study tried to identify factors affecting users' satisfaction with the YouTube recommendation system. Specifically, by adding content preference suitability and privacy concerns to the technology acceptance model, we empirically analyzed how these variables affect user's satisfaction of the YouTube AI recommendation system. For this purpose, asurvey was conducted on college students in their 20s and 30s, and the main research results are as follows. First, in the respondents of this study, playfulness and usefulness, which are major variables of the technology acceptance model, appeared as significant factors affecting the satisfaction of the YouTube AI recommendation system, whereas the effect of ease to use was not found. Second, content preference suitability was found to affect the satisfaction with AI recommendation system, but privacy concerns did not affect the satisfaction with YouTube AI recommendation system. Based on these research results, the implications of the study and the directions for future studies were suggested.

• Journal of Internet Computing and Services
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• v.23 no.3
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• pp.137-145
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• 2022

The logistics of ammunition stored in the underground ammunition warehouse has more difficulties than the logistics of ammunition stored on the ground due to the nature of the storage space. This study was conducted to solve the logistics of underground ammunition warehouse by improving these problems. And six items such as guard, safety, environment, supply system, equipment, facilities, and life management were selected for the improvement of logistics. And AHP was analyzed by Expert Choice program by conducting a survey to experts. As a result of the analysis, it was confirmed that the importance was high in the order of safety, guard, life management, equipment facilities, supply system, and environment. Based on the selected items and the results of the survey, a plan to build a network-based integrated platform that can improve logistics in an underground ammunition warehouse was presented. This study will be used as a basis for the establishment of an integrated platform when constructing an underground ammunition warehouse in the future. This study can be applied to storage facilities that store other materials in the military, and it is expected to be applied to large commercial storage facilities.