• Journal of Digital Convergence
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• v.19 no.6
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• pp.251-258
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• 2021

In this paper, we proposed an encoder-decoder model utilizing residual learning to improve the accuracy of the U-Net-based semantic segmentation method. U-Net is a deep learning-based semantic segmentation method and is mainly used in applications such as autonomous vehicles and medical image analysis. The conventional U-Net occurs loss in feature compression process due to the shallow structure of the encoder. The loss of features causes a lack of context information necessary for classifying objects and has a problem of reducing segmentation accuracy. To improve this, The proposed method efficiently extracted context information through an encoder using residual learning, which is effective in preventing feature loss and gradient vanishing problems in the conventional U-Net. Furthermore, we reduced down-sampling operations in the encoder to reduce the loss of spatial information included in the feature maps. The proposed method showed an improved segmentation result of about 12% compared to the conventional U-Net in the Cityscapes dataset experiment.

• Informatization Policy
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• v.28 no.2
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• pp.3-33
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• 2021

The purpose of this study is to analyze the research trends in the field of Blockchain that is one of the core technologies of the 4^th Industry, and present future research orientation. In this study, (1) Blockchain technologies in business perspective are summarized; (2) analysis criteria of Blockchain fields are established; and (3) results of analysis are presented and future research orientation is proposed. Major findings are as follows: (1) related research is being activate with the advent of the 3rd generation blockchain which aims for distributed applications. (2) major concerns of the technology (engineering) field is blockchain scalability and of the business (application) field is blockchain-based supply chain traceability. (3) Compared to overseas, domestic research results are very poor. (4) to catchup the gap, the spreading of awareness that blockchain is not a technology but a business means is required.

• Journal of Information Technology Applications and Management
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• v.28 no.1
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• pp.63-81
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• 2021

The advent of the convergence era led to the convergence of industries while increasing the uncertainty of R&D. R&D uncertainty can be addressed by identifying and addressing industrial innovation patterns, which Neo-Schumpeterian suggested can be identified through the process of identifying the technical characteristics of a particular industry, which can be embodied in the concept of technology trajectory. Thus, this study considered and proposed a method to track the technology trajectory of the convergence industry through topic modeling and patent citation network analysis, and applied it to the micro medical robot industry, which is a representative convergence industry, to track the technology trajectory of active catheter. In particular, it is intended to identify the unique characteristics of the industry by identifying the industry before the promotion of the national-led medical robot industry support policy. Therefore, we tried to understand the innovation pattern of the industry by tracking the technology trajectory of the industry before 2017, the time of full-scale support for the medical robot industry in the United States. Through tracking technology trajectories, the role of each technology classification, the development path, and the knowledge flow between applicants were analyzed empirically. The results of this study are expected to contribute to resolving the remaining uncertainties in the process of establishing an active catheter R&D strategy, one of the leading convergence industries, and furthermore, it is expected to be available for tracking technology trajectories in other industries.

• Journal of Information Technology Applications and Management
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• v.28 no.3
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• pp.49-58
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• 2021

Due to the increasing interest in wellness aroused by the aging population and the pursuing feature of active old age, Korean elderly set importance on long life with their healthy condition. Following the change in the paradigm of the medical delivery system from hospital-oriented, treatment-oriented to personal-centered and self-care, Service design application of Smart Healthcare for the elderly became valuable. Smart Healthcare is a healthcare service provided through the fusion of ICT technologies including mobile/wearable devices, IoT, big data, and information technology, and it is utilized to prevent diseases managing abundant health information and living habits. As a methodology for delivering such Smart Healthcare to the elderly, Service design can be adopted. Therefore, this study would like to present the perquisites of Smart Healthcare design for the elderly through analyzing the results from in-depth interview methods between the elderly and medical staff. As a result of this study, guidelines for Service design application of health vulnerability management for the elderly utilizing smart phones were presented. Therefore, this study presented four prerequisites composed of 'high level of supplementation and ethical decision making', 'improvement of inequality in accessibility and experience', 'resolving problems in policy implementation' and 'user-friendliness' for the Smart Healthcare service design for the elderly. Overall, Service design is expected to play an innovative role in improving the quality of life for the elderly through the process of collecting and delivering information on Smart Healthcare centered on the experience of the elderly.

• Journal of Digital Convergence
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• v.19 no.2
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• pp.425-431
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• 2021

The purpose of this study is to compare and analyze leading brands of the scooter-sharing system market of Korea, KICKGOING and Lime, in terms of user experience, and to suggest the improvement direction of the applications and scooters of those two services. The assessment was conducted in such a way that the experimental group using scooter-sharing system over a certain frequency would choose the specific service they use most frequently, and complete a questionnaire: based on the reorganized version of the Peter Morville's Honeycomb Model. Based on the results of the experiment, We drew a conclusion that the services need to add navigation features in the application, to provide more simple procedures for reporting breakdown or accident and browsing insurance information, and to improve the user and pedestrian safety levels by gamification, et cetera. We expect this study to help the fast-growing smart mobility market and scooter-sharing systems that represent the market develop into a user-centered way.

• Journal of Digital Convergence
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• v.19 no.3
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• pp.331-344
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• 2021

The purposes of this study are to review the designs of chopsticks which are the tableware we use in our daily lives, and to explore the possibilities of 3D Modeling System applications to improve their designs that will add the beauty of dining by sublating uniform and limited designs of the Korean chopsticks. To do so, this researcher was produced prototypes to be a unique cultural content through delicate expression using 3D Modeling while utilizing the Korean cultural elements as the design elements. After its production, unique design for chopsticks could be developed with the Korean characteristics. Like the case of this prototype, 3D Modeling and 3D Printing can help seek the new designs of chopsticks and improve the quality by multiple simulations. Also, it will assist to develop cultural contents that can play a role of the Korean cultural goods.

• Informatization Policy
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• v.29 no.2
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• pp.3-36
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• 2022

Most research in artificial intelligence (AI) has focused on the development of new algorithms. But as artificial intelligence has been spreading over many applications and gaining more attention from managers in the organization, academia has begun to understand the necessity of developing new artificial intelligence theories related to AI management. We reviewed recent studies in the field from 2015, and further analysis has been done for 785 studies chosen based on citation numbers of over 20. The results show that most studies have still been in the prototyping application phase of artificial intelligence across different industries. We conclude our study by calling for more research in the application of artificial intelligence in terms of organizational structures and project and risk management.

• Journal of the Korea Society of Computer and Information
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• v.27 no.7
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• pp.9-16
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• 2022

Today, with the advent of the 4th industrial revolution, IoT (Internet of Things) systems are advancing rapidly. For this reason, a various application with high-performance and large-capacity are emerging. Therefore, there is a need for low-power and high-performance memory for computing systems with these applications. In this paper, we propose an effective structure for the L1 cache memory, which consumes the most energy in the computing system. The proposed cache system is largely composed of two parts, the L1 main cache and the buffer cache. The main cache is 2 banks, and each bank consists of a 2-way set association. When the L1 cache hits, the data is copied into buffer cache according to the proposed algorithm. According to simulation, the proposed L1 cache system improved the performance of energy delay products by about 65% compared to the existing 4-way set associative cache memory.

• Journal of the Korean Society for Library and Information Science
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• v.56 no.2
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• pp.209-229
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• 2022

The purpose of this study is to analyze the data repository certification scheme and to propose a strategy to promote Coretrustseal certification. The certification system to be analyzed includes Coretrustseal, RatSWD, CLARIN certificate B, DIN 31644, ISO 16363, TDR and nestor. Among them, Coretrustseal certification is a core certification system that meets the standards and requirements of other certifications. Therefore, in this study, the Coretrustseal certification promotion strategy was proposed step by step. The proposed certification promotion strategy includes a list of research data policies and guidelines and examples of certification applications for use by institutions that operate domestic data repositories. Through this CTS certification process, each institution can secure research data policies and guidelines, and when CTS certification is obtained, it is judged that international reliability of the data repository can be secured.

• Journal of Software Assessment and Valuation
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• v.16 no.2
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• pp.9-23
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• 2020

Microsoft's Windows system is widely used as an operating system for the desktops and enterprise servers of companies or organizations, and is a major target of cyber attacks. Microsoft provides various protection technologies and strives for defending the attacks through periodic security patches, however the threats such as DLL injection and process injection still exist. In this paper, we analyze 12 types of injection techniques in Microsoft Windows, and perform injection attack experiments on four application programs. Through the results of the experiments, we identify the risk of injection techniques, and verify the effectiveness of the mitigation technology for defending injection attacks provided by Microsoft. As a result of the experiments, we have found that the current applications are vulnerable to several injection techniques. Finally, we have presented the mitigation techniques for these injection attacks and analyzed their effectiveness.