• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.11
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• pp.2637-2642
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• 2015

The low-density parity check(LDPC) code is being widely used due to its outperformed error-correction ability. The decoder of the quasi-cyclic LDPC(QC-LDPC) codes, a kind of LDPC codes, requires a multi-size cyclic shifter(MSCS) performing rotation of various sizes. The MSCS can be implemented with a Benes network, which requires a $3{\times}3$ switch if the number of data to be rotated is a multiple of 3. This paper proposes a control signal generation with lower complexity and a faster $3{\times}3$ switch. For the experiment, the proposed schemes are applied to the MSCS of an IEEE 802.16e WiMAX QC-LDPC code decoder. The result shows that the delay is reduced by about 8.7%.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.11
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• pp.4251-4259
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• 2010

This study investigates the needs of cruise tourists for building customer oriented ubiquitous tourism services. Through the field survey, the relationship between cruise tourism motivations and ubiquitous cruise services were analyzed. In this study, cruise tourism motivations mean destination attraction, family friendship, socialization, education/novelty and escape from daily routine. And ubiquitous cruise services are consists of boarding service, security service, safety service, customization service, and payment services. The results are as follows; cruise tourists with more socialization motivation get more use intention of ubiquitous payment service; cruise tourists with more destination attraction have more use intention of ubiquitous customization service.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.9
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• pp.1199-1205
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• 2021

In the era of big data, not only structured data well organized in databases, but also the Internet, social network services, it is very important to effectively analyze unstructured big data such as web documents, e-mails, and social data generated in real time in mobile environment. Big data analysis is the process of creating new value by discovering meaningful new correlations, patterns, and trends in big data stored in data storage. We intend to summarize and visualize the analysis results through frequency analysis of unstructured article data using R language, a big data analysis tool. The data used in this study was analyzed for total 104 papers in the Mon-May 2021 among the journals of the Korea Institute of Information and Communication Engineering. In the final analysis results, the most frequently mentioned keyword was "Data", which ranked first 1,538 times. Therefore, based on the results of the analysis, the limitations of the study and theoretical implications are suggested.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.9
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• pp.1214-1219
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• 2021

Virtual augmented reality technology is rapidly growing due to the development of hardware and software technology. The perspective on the application of industrial technology using this virtual augmented reality is at an early stage. Beginning with entertainment elements in Korea, there are many demands and demands in education, culture, tourism, sports, arts, medicine, disasters, and defense. In this paper, the study of the process of applying the process for the application of industrial virtual reality technology and augmented reality technology and the design of the technology according to the various operations necessary for the specific process are conducted. The study contains research results to provide services for training and actual process through virtual reality and augmented reality technology. This suggests that many industrial applications will be possible in the future.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.2
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• pp.587-592
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• 2019

The importance of software technologies is becoming more prominent because of the competition to secure a competitive edge in software, which has been intensified since the emergence of smartphones and IoT. Thus, to assure the initiative in the global software industry and to foster superior human resources, there is a growing need for outstanding software development professionals. This paper analyzes the factors that affect the basic perception of software, the need for software development, and the enhancement of software coding ability based on a compulsory software class, which aims to increase the workforce of the converged software industry. The analysis shows that among other technical practices to enhance coding ability, learner-centered technical contents showed the most positive effect regarding the recognition and motive of development and are an essential factor in improving coding skills. The findings indicate that the need for program development and active involvement in the development of the program are the most important factors in improving the practical ability. The analysis presents meaningful results by suggesting a methodology for improving software development capabilities.

• Journal of the Korean Society of School Health
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• v.31 no.3
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• pp.186-195
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• 2018

Purpose: This study was performed to investigate the dietary behaviors and stress-related factors among male and female college students. Methods: A total of 405 college students (male-195, female-210) were recruited, of whom a questionnaire-based survey was conducted. The study investigated the general characteristics, health-related factors, dietary behaviors, and stress-related factors of the respondents. Results: The body mass index was significantly higher in males. The rates of underweight and overweight were significantly different between male and female respondents. The scores for workout frequency, health concerns and health condition were significantly higher in males, while the score for watching TV & playing computer games was significantly higher in females. The scores for meal regularity, frequency of breakfast consumption, and smoking were significantly higher in males. Eating problems showed a significant difference between males and females. The biggest source of stress was social factors, followed by college study and individual factors and the most experienced stress-induced symptom was anxiety, followed by headache and stomachache. The most popular way to overcome stress was taking a rest, followed by drinking & smoking and outdoor activity. The most preferred food under stressful conditions were alcohol or beverages, followed by hot & spicy food and sweet food, which showed a significant difference between males and females. Conclusion: These results indicate that stress affects dietary behaviors, drinking, smoking, and health status. Stress not only changes dietary behaviors, but is also related to health status. Therefore, it is necessary to develop appropriate programs for emotional stability and stress relief targeting college students which provide continuous nutrition education focused on desirable dietary behaviors and nutritional aspects.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.12 no.1
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• pp.7-12
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• 2019

Clouds in the atmosphere are important variables that affect the temperature change by reflecting the radiant energy of the earth surface as well as changing the amount of sunshine by reflecting the sun's radiation energy. Especially, the amount of sunshine on the surface is very important It is essential information. Therefore, eye-observations of the sky on the surface of the earth have been enhanced by satellite photographs or relatively narrowed observation equipments. Therefore, cloud automatic observing systems have been developed in order to replace the human observers, but depending on the seasons, the reliability of observations is not high enough to be applied in the field due to pollutants or fog in the atmosphere. Therefore, we have developed a cloud observation algorithm that is robust against smog and fog. It is based on the calculation of the degree of aerosol from the all-sky image, and is added to the developed cloud reader to develop season- and climate-insensitive algorithms to improve reliability. The result compared to existing cloud readers and the result of cloud cover is improved.

• Journal of Internet Computing and Services
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• v.22 no.4
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• pp.51-63
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• 2021

Recently, virtual communication has become a standard tool due to the outbreak of COVID-19. Likewise online communication is emerging as an essential competency. In this study, we aimed to develop a comprehensive and systematic digital literacy measurement tool reflecting the changes and needs of society. Construct variables were drawn by characterizing existing digital literacy measurement tools. Thirty-four items corresponding to the concept of each variable were developed. The developed measurement tool was then evaluated in the form of surveys from university students belonging to the digital native generation, and the reliability and validity were performed through exploratory and confirmatory factor analysis. The digital literacy measurement tool contained five sub-factors and twenty-five questions. In addition, hierarchical regression analysis was performed to verify the predictive validity of digital literacy sub-factors. Based on these findings, the implication of future research is discussed.

• Journal of Digital Convergence
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• v.17 no.10
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• pp.259-264
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• 2019

This paper proposes an image prediction system architecture for deep running in enterprise environment. Easily transform into an artificial intelligence platform for an enterprise environment, and allow sufficient deep-running services to be developed and modified even in Java-centric architectures to improve the shortcomings of Java-centric enterprise development because artificial intelligence platforms are concentrated in the pipeline. In addition, based on the proposed environment, we propose a more accurate prediction system in the deep running architecture environment that has been previously learned through image forecasting experiments. Experiments show 95.23% accuracy in the image example provided for deep running to be performed, and the proposed model shows 96.54% accuracy compared to other similar models.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.12
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• pp.1687-1692
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• 2019

In the era of the fourth industrial revolution, advanced technologies such as the Internet of Things(IoT) and big data are emerging. However, the level of application of IoT to indoor environment is very weak. Therefore, it is necessary to develop a system for analyzing air pollutants or indoor air quality through real-time monitoring using the IoT. This paper implements a system that measures indoor environmental values using Arduino and various sensors, and stores the information obtained from various sensors into a database of server. The information stored in the server was built as a database and utilized in the ventilation system or air cleaner installed in the home or company's room. In the proposed system, it is possible to check the immediate indoor environmental condition through the LED status display of the monitoring sensor module while reducing the cost of the sensor used to implement IoT technology.