• Journal of Convergence for Information Technology
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• v.10 no.5
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• pp.8-15
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• 2020

Due to the advance of artificial intelligence, wide use of RPA(Robotic Process Automation) became inevitable. The purpose of this study is to seek cost management optimization based on RPA which has automatic collection of cost information, timeliness and flexibility. The cost management system based on RPA will be able to optimize and improve the cost management process through the cross-system of cost information recognition and the cloud platform. Following the review of previous researches on the benefit of the RPA-related technology along with the investigation on the problems of current cost management system, this study will suggest a way to adopt RPA to optimize cost management system for the implement of strategic management accounting to support management decision making.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.174-177
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• 2016

Wireless network-on-chip (WNoC) can alleviate critical path problem of existing typical NoCs by integrating radio-frequency module on router. In this paper, core-connection-aware genetic algorithm-based core and WIR mapping methodology at small world WNoC is presented. The methodology could optimize the critical path between cores with heavy communication. The 33% of average latency improvement is achieved compared to random mapping methodology.

• Journal of Convergence for Information Technology
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• v.9 no.4
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• pp.109-117
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• 2019

In this study, it developed and applied a biomimicry robot education program based on technology education, and to examine its effects. To do this, We were developed a biomimetic robot education program and was applied to gifted education in the technology fields to examine changes of the effects along with satisfaction. The results are as follow: First, the biomimicry robot education program conducted over 15 hours in total, comprised of technological problem solving steps. Second, satisfaction as a quantitative research of this program was higher than average, and as a qualitative research also showed positive satisfaction. Third, the changes in the propensity for technological problem solving and attitudes toward robots were statistically significant after participation in the program.

• Journal of Convergence for Information Technology
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• v.11 no.7
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• pp.1-6
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• 2021

The purpose of this study is to improve the performance of the artificial neural network system for facial image analysis through the image landmark selection technique. For landmark selection, a CNN-based multi-layer ResNet model for classification of facial image age is required. From the configured ResNet model, a heat map that detects the change of the output node according to the change of the input node is extracted. By combining a plurality of extracted heat maps, facial landmarks related to age classification prediction are created. The importance of each pixel location can be analyzed through facial landmarks. In addition, by removing the pixels with low weights, a significant amount of input data can be reduced.

• Journal of Convergence for Information Technology
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• v.8 no.4
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• pp.115-120
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• 2018

This paper describes the design and trial development of a system that supports continuous hazard mapping by local residents in their daily life. We performed an interview survey to design our system in a model traditional town in Saga Prefecture, Japan. The results show that despite continued efforts, many practical problems remain and residents feel unsafe. Considering these results, we designed and developed a unique information and communication technology-based support system that contributes to community-based disaster prevention and reduction. The continuous resident participation and posting design are the core concept for our community-based approach. Our system continues to support making a hazard map by integrating the community-based hazard information. Local residents register information (disaster types, risk level, photographs, comments, positional information) about locations that could be dangerous in a disaster. In addition, our system enables information sharing through a Web server. We expect that this information sharing will allow local hazard information for each district to be used.

• Journal of Convergence for Information Technology
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• v.11 no.11
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• pp.51-56
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• 2021

In this paper, performance degradation in the cross-eye jamming due to amplitude mismatch of two jamming antennas is considered. The mismatch of the amplitude ratio is modeled as a random variable with a normal distribution of the difference between the actual amplitude ratio and the nominal amplitude ratio due to mechanical defects. In the proposed analytic performance analysis, the first-order Taylor series expansion and the second-order Taylor series expansion is adopted. Performance measure of the cross-eye jamming is the mean square difference (MSD). The analytically derived MSD is validated by comparing the analytically derived MSD with the first-order Taylor series-based simulation-based MSD and the second-order Taylor series-based simulation-based MSD. It shows that the analysis-based MSD is superior to the Monte-Carlo-based MSD, which has a high calculation cost.

• Journal of Convergence for Information Technology
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• v.8 no.3
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• pp.85-90
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• 2018

Blockchain technology provides distributed trust structure; with this, we can implement a system that cannot be forged and make Smart Contract possible. With blockchain technology emerging as next generation security technology, there have been studies on authentication and security services that ensure integrity. Although Internet-based services have been going with user authentication with password, the information can be stolen through a client and a network and the server is exposed to hacking. For the reason, we suggest blockchain technology and OTP based authentication mechanism to ensure integrity. In particular, the Two-Factor Authentication is able to ensure secure authentication by combining OTP authentication and biometric authentication without using password. As the suggested authentication applies multiple hash functions and generates transactions to be placed in blocks in order for biometric information not to be identified, it is protected from server attacks by being separate from the server.

• Journal of Convergence for Information Technology
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• v.9 no.5
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• pp.7-13
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• 2019

Role-based access or attribute-based access control in cloud environment or big data environment need requires a suitable mathematical structure to represent a hierarchical model. This paper define the notion of multipliers and simple multipliers of lattice implication algebras that can implement a hierarchical model of role-based or attribute-based access control, and prove every multiplier is simple multiplier. Also we research the relationship between multipliers and homomorphisms of a lattice implication algebra L, and prove that the lattice [0, u] is isomorphic to a lattice $[u^{\prime},1]$ for each $u{\in}L$ and that L is isomorphic to $[u,1]{\times}[u^{\prime},1]$ as lattice implication algebras for each $u{\in}L$ satisfying $u{\vee}u^{\prime}=1$.

• Journal of Convergence for Information Technology
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• v.11 no.1
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• pp.254-260
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• 2021

This study was conducted to investigate the effect of Occupation-based Reminiscence training on cognitive function, depression, and quality of life of the normal elderly. Subjects were 19 normal elderly. The evaluation was evaluated using the Montreal Cognitive Assessment Korean Version, Short Form of Geriatric Depression Scale-Korean Version, and the Geriatric Quality of Life. The Occupation-based Reminiscence training was conducted once a week for an hour for a total of 8 weeks. The collected data was confirmed using the Wilcoxon signed test. As a result of the training, significant positive changes in cognitive function, depression, and quality of life of the subjects were confirmed after application of Occupation-based Reminiscence training. From this result, it was confirmed that the Occupation-based Reminiscence training is a positive training method for improving cognitive function and preventing dementia of the normal elderly.

• Journal of Convergence for Information Technology
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• v.11 no.2
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• pp.47-56
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• 2021

The purpose of this research was to develop an augmented reality-based surgical nursing practice education application. The research proceeded in ADDIE order of analysis, design, development, implementation, and evaluation stages. In the analysis phase, we analyzed the surgical nursing learning needs of the expert group and nursing student group. As a result of the analysis, the demand for surgical instruments was generally high. We selected 51 surgical instruments of the 7 categories most frequently used in the operating room based on the needs, and produced them as AR Book. The augmented reality application was created based on the Unity 3D engine, and the application was built with Android OS so that the target person could use it. Expert assessment of application for augmented reality-based surgical nursing practice education application showed 73.4±4.3 out of 80. This study is significant in the part that first developed a new method of learning tools for surgical instruments. We determined that an augmented reality-based application has reality, portability, accessibility and simplicity.