• Journal of Digital Convergence
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• v.16 no.10
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• pp.351-356
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• 2018

Changes in vocal cords due to aging can change the frequency of speech, and the speech signals of the elderly can be automatically distinguished from normal speech signals through various analyzes. The purpose of this study is to provide a tool that can be easily accessed by the elderly and disabled people who can be excluded from the rapidly changing technological society and to improve the voice recognition performance. In the study, the gender of the subjects was reported as sex analysis, and the number of female and male voice samples was used equally. In addition, the gender analysis was applied to set the voices of the elderly without using voices of all ages. Finally, we applied a review methodology of standards and reference models to reduce gender difference. 10 Korean women and 10 men aged 70 to 80 years old are used in this study. Comparing the F0 value extracted directly with the waveform and the F0 extracted with TF32 and the Wavesufer speech analysis program, Wavesufer analyzed the F0 of the elderly voice better than TF32. However, there is a need for a voice analysis program for elderly people. In conclusions, analyzing the voice of the elderly will improve speech recognition and synthesis capabilities of existing smart medical systems.

• Journal of Digital Convergence
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• v.18 no.1
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• pp.35-44
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• 2020

The purpose of this paper is to investigate various factors affecting the efficiency of China IC industry, reflecting the resource utilization and overall development level of China IC industry. In this paper, three input indicators (R&D Expenditure, Cash paid to and for employees, Total fixed assets) and two output indicators (Net profit, Sales revenue) were selected for 17 listed companies in the IC industry with operating profit of less than 1 billion yuan in 2018 and applied the technology efficiency theory and DEA analysis method to analyze the relative efficiency of the output base. The study found that one of the 17 companies analyzed was efficient, two were inefficient on an inadequate scale, and the rest were inefficient due to insufficient production technology, scale and management level. This study argues that enterprises should reduce resource input appropriately and strengthen scientific and technological innovation management to maximize resource utilization efficiency. Therefore, this study has important practical significance for improving the efficiency of IC enterprises. The Malmquist method will be used to study the total factor productivity of small and Medium-sized companies in IC industry.

• Korean Journal of Construction Engineering and Management
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• v.18 no.3
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• pp.95-104
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• 2017

Recently, patent information related to building information modeling (BIM) has been increasing owing to BIM adoption within the construction sector. However, only a few research studies have focused on identifying trends in the domestic and foreign BIM technology based on comprehensive and objective data. Therefore, this study aims to analyze technical competitiveness in the global BIM market using patent information. The patent information is compiled from WIPSON and consists of 73 South Korea, 59 USA, 206 China, and 31 Japan applications. Based on patent information, this study objectively observes domestic and foreign technological BIM trends. As a result of the technology entry analysis by the year, starting from physics (G section) to electricity (H section), the performing operations (B section), and the fixed structure (E section) has been expanded gradually. According to the portfolio analysis, the BIM patent is currently in its early stage of development. Through this research, utilizing patents as a basis for future development will be expected to consult with the differentiation of strategy and setting of direction.

• Journal of Digital Convergence
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• v.9 no.3
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• pp.31-46
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• 2011

This research suggests for efficient operation of the e-commerce guarantee financing system in domestic industries by reviewing the definition, current situation and problems of the e-commerce guarantee financing system in operation since 2001. Throughout the 10 years of the e-commerce guarantee financing system's implementation, technological development has solved many previously concerning factors. The goal of the study is to resolve the current issues of the e-commerce guarantee financing system and offer means by which to expand the accessibility of the system to domestic industries and further assistance to firms already using the system. One of the primary policies supported by the research is the reallocation of funds from archaic means of exchanging finances to the modem e-commerce guaranteed financing methods because of the increased transparency of the trading. Specifically, the funding operated by government guarantee agencies requires systematic promotion, justifying subsidies and tax breaks to companies that are using e-commerce guarantee financing because of the increased overall transparency. In addition, the benefits of e-commerce guarantee financing as a means of funding are numerous: the promotion of good business, relaxation of credit ratings for company loans, construction of the mobile operating system for small businesses, and creation of policy flexibility in operating fund agencies run by government. Future research areas include continued collection and analysis of the above data provided and new market feedback such as direct poll surveys of the operating staff in companies using e-commerce guarantee financing agencies.

• Journal of Digital Convergence
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• v.15 no.7
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• pp.13-25
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• 2017

The Korean government is pursuing technological development through nearly every government agency, and Korea's growing R&D spending is yielding good results in many fields. With the country moving from the technology development stage to the demonstration stage, it is actively implementing testbed projects to demonstrate developed technologies and services. This is, however, not without problems. There is no consistent systematic system for the testbed projects because government agencies compete against each other in the planning of execution of R&D: they do not work together. The most serious problem is that both testbeds and developed technologies die out due to poor operation management after the completion of test projects. Research should, therefore, be done on operation management and commercialization. However, the government still does not consider the system after the test: it focuses on building testbeds to verify developed technologies. This study intends to determine the basic orientation of operation management to ensure maximum performance, efficiency, and continuity of national projects through intensive analysis of ongoing national R&D testbed projects and examination of success stories of operation management at home and abroad.

• Journal of Digital Convergence
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• v.18 no.4
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• pp.325-340
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• 2020

Today's rapidly developing health technology is accumulating vast amounts of data through medical devices based on the Internet of Things in addition to data generated in hospitals. The collected data is a raw material that can create a variety of values, but our society lacks legal and institutional mechanisms to support medical Big Data. Therefore, in this study, we looked at four major factors that hinder the use of medical Big Data to find ways to enhance use of the Big Data based healthcare industry, and also derived implications for expanding domestic medical Big Data by identifying foreign policies and technological trends. As a result of the study, it was concluded that it is necessary to improve the regulatory system that satisfies the security and usability of healthcare Big Data as well as establish Big Data governance. For this, it is proposed to refer to the Big Data De-identification Guidelines adopted by the United States and the United Kingdom to reorganize the regulatory system. In the future, it is expected that it will be necessary to have a study that has measures of the conclusions and implications of this study and to supplement the institutional needs to play a positive role in the use of medical Big Data.

• The Journal of Society for e-Business Studies
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• v.23 no.3
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• pp.189-206
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• 2018

As the era of $4^{th}$ Industrial Revolution has arrived, education systems are changing in order to prepare for the changes on technological environment. Recently in the education field, flipped learning, which focus on learner-centered with an active communication is suggested, rather than the existing teaching method, which had the characteristic of simply delivering a knowledge. In this research, case study of analyzing a learning effect done by applying a flipped learning on the study of Industrial Security which has the characteristics of timeliness and can accordingly reflect the characteristics of $4^{th}$ Industrial Revolution. In detail, the concept of the study of Industrial Security and flipped learning was arranged, analyzed a current state of education on the study of Industrial Security and exemplary of flipped learning applied class and designed the methodology of flipped learning of this research. Nextly, designed flipped learning method was applied in the actual class of the study of Industrial Security. Lastly, survey and interview was conducted targeting a learner and deducted an implications. The results of survey showed that class participation has increased through active interactions between learners, and flexible learning environments was created which is appropriate for the characteristics of industrial security, which is in need of timeliness response against to diverse security threats of $4^{th}$ Industrial Revolution, and regarded a flipped learning to be appropriate for the study of Industrial security.

• Journal of Korea Technology Innovation Society
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• v.21 no.3
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• pp.1155-1178
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• 2018

Future automobiles are evolving into movable living spaces capable of eco-friendly autonomous driving. The role of electrically processing, controlling, and commanding various information in the vehicle is essential. It is expected that the automotive semiconductor will play a key role in the future automobile such as self-driving and eco-friendly automobile. In order to foster the automotive semiconductor industry, it is necessary to grasp technology trends and to acquire technology and quality that reflects the requirements in advance, thereby achieving technological innovation with industrial competitiveness. However, there is a lack of systematic analysis of technology trends to date. In this study, we analyzed the technology trends of automotive semiconductors using patent analysis and topic model, and confirmed technologies such as electric cars, driving assistance, and digital manufacturing. The technology trends showed that element technology and technical characteristics change according to technology convergence, market needs, and government regulations. Through this research, it is expected that it will help to make R&D policy for automotive semiconductor industry and to make decision for industrial technology strategy establishment. In addition, it is expected that it will be used effectively in detail research direction and patent strategy establishment by providing detailed classification of technology and trend analysis result of technology.

• Journal of Technology Innovation
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• v.27 no.1
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• pp.45-77
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• 2019

The balance between exploration for new possibility and exploitation for existing certainty is an important issue in strategy, innovation, R&D as well as organization learning. Among the convergence trends of technologies, many firms seek to have the wider technological knowledge assets and the deeper technology capabilities for the sustainable competitive advantage at the same time. While firms plan technology portfolio strategies, they should consider the attribute of the technology. Nanotechnology, a cutting-edge technology, is a general purpose technology, unlike conventional product-oriented technologies. This empirical study was focused on how multi-national firms' exploration and exploitation strategies for nanotechnology affect their innovative and financial performance. It uses multiple regression analysis on panel data. This result shows that the more diversified and specialized nanotechnology as platform technology is positively related to their innovative and financial performance, unlike the research results for product-oriented technologies. In addition, exploratory innovation is more effective to firm performance than exploitation. This implies how global firms can manage effectively platform technology strategies under the constraints of resources.

• The Journal of Society for e-Business Studies
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• v.24 no.2
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• pp.143-163
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• 2019

The purpose of this study is to identify acceptance factors and influencing factors of respondents' adoption of smart IoT technology to companion animal health based on the integrated technology acceptance model. Based on the previous studies, we constructed the hypotheses by defining the technical factors, social factors, control variables, and mediating variables (UTAUT), and set the hypotheses between the independent variables of each factor and the dependent intention. A research model was designed to verify the relationship between variables. We developed questionnaires on the items and verified them through data collected from 494 people. As a result, product design, quality of service, product performance, and quality service of technological factors had a significant effects on performance expectancy and effort expectancy. However, product safety, product function awareness, and product price did not significantly affect performance expectancy and effort expectancy. Social influence had significant effects on cognitive effect, welfare system, and welfare facilities. In conclusion, the comparative analysis of technical factors and social factors showed that social factors have more significant effects on welfare systems and facilities.