• Journal of Convergence for Information Technology
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• v.9 no.8
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• pp.148-154
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• 2019

The purpose of this study is to review systematically the literatures on the research of the elderly speech signal processing based on the domestic gender innovation and to introduce the utility and innovation of the gender analysis methods. From 2000 to present, among the 37 research papers published in the Korean Journal, 25 papers were selected according to the inclusion and exclusion criteria. And gender analysis methods were applied to gender research subject and design. Research results show diversity of research field and high gender recognition of R & D team are needed in research and development of engineering of gender innovation perspective. In addition, government-level regulation and research funding should be systematically applied to gender innovation research processes in the elderly voice signal processing and various gender innovation projects. In the future gender innovation in the elderly speech signal processing can contribute to the creation of a new market by developing a voice recognition system and service that reflects the needs of both men and women.

• Journal of the Korea Convergence Society
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• v.10 no.9
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• pp.127-132
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• 2019

This study is an example of the registration of intellectual property rights by applying capstone design to airline service. To relieve the inconvenience of the 'Paper Cage' that is on sale in the airlines, the team create 'Foldable Inflight Pet Cage' for the convenience of passengers accompanying their pets. This allowed not only pets but also passengers on board to make comfortable and safe air travel. Through collaboration with aviation experts and pet cages production experts, the team produced foldable cages that were not previously available. For verification of products, preliminary survey was conducted to enable the commercialization of foldable cage. The project period was 15 weeks, and the participants consisted of 18 students, 1 professor, and 4 industry experts. This study shows Capstone Design can also be applied in airline service and be a valuable research on the necessity of industry-academic links and practical-oriented education.

• Journal of Convergence for Information Technology
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• v.9 no.6
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• pp.175-182
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• 2019

This study was conducted to test the assessment validity and examine the cut-off scores for driving risk as a part of the Self-report Assessment Forecasting Elderly Driving Risk (SAFE-DR) development project. The 132 senior drivers were categorized as either risky of 58 or safe of 74 drivers through the Drivers 65 Plus. Based on this initial assessment, we analyzed the risk prediction cut-offs. Furthermore, we tested the construct, content, and predictive validity. The cut-off score for the prediction of driving risk was found to be 74.5 points. The positive predictive value was 88.6%, and the negative predictive value was 86.3% about the cut-off score, signifying an excellent level of discrimination. Convergent validity, nomological validity, and content validity were found to be appropriate. Therefore, this study confirms that SAFE-DR is an appropriate assessment that can be used to screen dangerous elderly drivers.

• Journal of Convergence for Information Technology
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• v.9 no.5
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• pp.130-136
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• 2019

Recently, the importance of creativity and problem-solving skills are being emphasized in engineering education. In particular, research is actively being conducted on learning models considering practicality or applicability in practice and education among many creative problem-solving methods. The objective of the present study is to develop a teaching and learning model and verify its effects in order to promote creative thinking and problem-solving skills using the TRIZ Contradiction Analysis. This study led the participants to obtain basic knowledge of creative engineering design through the creative engineering design course for freshmen at an engineering college, and come up with ideas and solutions using the TRIZ Contradiction Analysis. A survey was conducted and analyzed to verify the effectiveness of education using the proposed teaching and learning model, and as a result, the effectiveness of education has been proven by an average of 89 positive responses. Follow-up research is needed on improved application models so that the proposed learning model can be applied to various subjects.

• Journal of the Korea Convergence Society
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• v.10 no.4
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• pp.7-16
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• 2019

As fierce competition is expected in the wearable devices marekt, it is needed to develop a technology planning that can increase consumer acceptance. This study aims to provide implications for technology planning of wearable devices by examining consumer preferences for the devices. For this purpose we employed a conjoint analysis. In the process of the analysis, we considered the trend of anticipatory standardization for wearable devices in an attempt to improve objectivity of analysis whilst many previous studies relied on focus group interview. For the anticipatory standardization information, we utilized liaisons and projects of wearable devices at International Electrotechnical Commission, and we designed a conjoint survey on the basis of the information. We conducted an online survey, and a total of 229 individuals responded to our survey. The result of conjoint analysis shows that main use and enhanced features were more important attributes than the others were. However, consumer preferences for detailed levels of each attribute were different by gender and age groups. This result implies that technology planning of wearable devices require distinct approaches by consumer segments.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.1
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• pp.149-162
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• 2021

This paper established a new smart factory based on manufacturing data for an introductory company focusing on the personalized cosmetics manufacturing industry. We build on an example of a system that collects, manages, and analyzes documents and data that were previously managed by CGMP-based analog for data-driven use. To this end, we have established a system that can collect all data in real time at the production site by introducing artificial intelligence smart factory platform LINK5 MOS and POP system, collecting PLC data, and introducing monitoring system and pin board. It also aims to create a new business cluster space based on this project.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.14 no.1
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• pp.29-36
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• 2021

The amount of data generated has been growing exponentially, and the complexity of data has been increasing owing to the advancement of information technology (IT). Big data analysts and engineers have therefore been actively conducting research to minimize the analysis targets for faster processing and analysis of big data. Hadoop, which is widely used as a big data platform, provides various processing and analysis functions, including minimization of analysis targets through Hive, which is a subproject of Hadoop. However, Hive uses a vast amount of memory for data deduplication because it is implemented without considering the complexity of data. Therefore, an efficient algorithm has been proposed for data deduplication of complex structures. The performance evaluation results demonstrated that the proposed algorithm reduces the memory usage and data deduplication time by approximately 79% and 0.677%, respectively, compared to Hive. In the future, performance evaluation based on a large number of data nodes is required for a realistic verification of the proposed algorithm.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.3
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• pp.43-50
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• 2021

Recently, researches and projects of companies based on artificial intelligence have been actively carried out. Various services and systems are being grafted with artificial intelligence technology. They become more intelligent. Accordingly, interest in deep learning, one of the techniques of artificial intelligence, and people who want to learn it have increased. In order to learn deep learning, deep learning theory with a lot of knowledge such as computer programming and mathematics is required. That is a high barrier to entry to beginners. Therefore, in this study, we designed and implemented a web-based deep learning platform called DeepBlock, which enables beginners to implement basic models of deep learning such as DNN and CNN without considering programming and mathematics. The proposed DeepBlock can be used for the education of students or beginners interested in deep learning.

• The Journal of Korean Institute of Information Technology
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• v.17 no.6
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• pp.9-16
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• 2019

Companies that want to improve their manufacturing processes have recently introduced the smart factory, which is particularly noticeable. The ultimate goal is to maximize the area of the smart factory that performs the process of the production facility completely with minimal manual control and to minimize errors of reasoning. This research is a part of a project for unmanned production, management, packaging, and delivery management and the detection of the start point of rebars to perform the automatic calibration of the rollers through the tracking of the automated facilities of unmanned production. It must meet the requirement to accurately track the position from the start point to the end point. In order to improve the tracking performance, it is important to set the accurate start point. However, the probability of tracking errors is high depending on environments such as illumination and dust through the conventional time-based detection method. In this paper, we propose a starting point detection method using the average brightness change of high speed IR camera to reduce the errors according to the environments, As a result, its performance is improved by more than 15%.

• Journal of Convergence for Information Technology
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• v.11 no.1
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• pp.1-11
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• 2021

This study focuses on that, unlike evolving smart technology, goals, policies, and administrative organization elements are tools that do not change in smart city implementation, and by applying the concept of policy implemental means, the characteristics of the Singapore Smart Nation Initiative are analyzed, results are derived and implications are suggested. To this end, literature analysis is conducted based on the case analysis framework with "Smart Nation" as an analysis unit and "project, administration, citizen engagement" as analysis elements. The implications through analysis are as follows. First, it is required to establish a state-led initiative for a major transformation into a digital society. Second, it is necessary to establish executive agencies directly under the president or prime minister for effective implementation of the initiative. Third, complementary programs at the level of detailed strategies, administrative organizations, and citizen participation as a means of implementation, should be considered and the flow of the recent digital ecosystem should be reflected. Fourth, it is necessary to promote a national movement for a great transformation into a digital society where all the people participate.