• Journal of Convergence Society for SMB
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• v.6 no.3
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• pp.7-12
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• 2016

This paper aims to examine the adoption of several management tools & techniques(MT&T) by the Strong Small Business Enterprises (SSBE) in Korea, In addition, the paper examines the impact of the adopted MT&T techniques on a company's overall performance. The paper used a questionnaires survey method to gather the required data. The paper used descriptive statistics, correlation and regression techniques to analyze the data. The paper found that benchmarking, BSC, IMS and TQM are among the MT&T techniques widely adopted by SSBE. In addition, the paper found that the adoption of MT&T techniques significantly influenced the companies' overall performance. More specifically, the paper found that the adoption of BSC significantly influenced that the companies' profitability, customer satisfaction, market position and sales growth for exisiting services and products. The findings this paper provide could be considered important and useful for advancement of companies adopting MT&T techniques to improve their performance.

• Korean Journal of Mathematics
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• v.24 no.1
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• pp.51-63
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• 2016

In this works, we consider a class of regularized equilibrium problems in Banach spaces. By using the auxiliary principle techniques to suggest some iterative schemes for regularized equilibrium problems and proved the convergence of these iterative methods required either pseudoaccretivity or partially relaxed strongly accretivity.

• Convergence Security Journal
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• v.19 no.5
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• pp.55-61
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• 2019

This paper studied security measures to protect the SCADA network from the increasingly sophisticated threats. Currently, SCADA system security uses methods that are almost like regular IT security systems. While there may be some common security techniques, security techniques are needed only for SCADA systems that are different from typical IT systems. Therefore, this paper will explore the security techniques currently used in SCADA systems, and the problems that arise when the current security techniques are used will be identified through the damage cases resulting from attacks in SCADA systems. Finally, as a new solution to ensure the availability and integrity required for current SCADA systems, we proposed linking Blockchain and SCADA systems.

• International Journal of Internet, Broadcasting and Communication
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• v.7 no.2
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• pp.149-154
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• 2015

Biometric techniques for authentication using body parts such as a fingerprint, face, iris, voice, finger-vein and also photoplethysmography have become increasingly important in the personal security field, including door access control, finance security, electronic passport, and mobile device. Finger-vein images are now used to human identification, however, difficulties in recognizing finger-vein images are caused by capturing under various conditions, such as different temperatures and illumination, and noise in the acquisition camera. The human photoplethysmography is also important signal for human identification. In this paper To increase the recognition rate, we develop camera based identification method by combining finger vein image and photoplethysmography signal. We use a compact CMOS camera with a penetrating infrared LED light source to acquire images of finger vein and photoplethysmography signal. In addition, we suggest a simple pattern matching method to reduce the calculation time for embedded environments. The experimental results show that our simple system has good results in terms of speed and accuracy for personal identification compared to the result of only finger vein images.

• Journal of Biomedical Engineering Research
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• v.43 no.4
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• pp.259-270
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• 2022

Artificial intelligence (AI) has been studied in various fields of medical imaging. Currently, top-notch deep learning (DL) techniques have led to high diagnostic accuracy and fast computation. However, they are rarely used in real clinical practices because of a lack of reliability concerning their results. Most DL models can achieve high performance by extracting features from large volumes of data. However, increasing model complexity and nonlinearity turn such models into black boxes that are seldom accessible, interpretable, and transparent. As a result, scientific interest in the field of explainable artificial intelligence (XAI) is gradually emerging. This study aims to review diverse XAI approaches currently exploited in medical imaging. We identify the concepts of the methods, introduce studies applying them to imaging modalities such as computational tomography (CT), magnetic resonance imaging (MRI), and endoscopy, and lastly discuss limitations and challenges faced by XAI for future studies.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.95-95
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• 2023

Common hydrological problems of developing countries include poor data management, insufficient measuring devices and ungauged watersheds, leading to small or unreliable data availability. This has greatly affected the adoption of artificial intelligence techniques for flood risk mitigation and damage control in several developing countries. While climate datasets have recorded resounding applications, but they exhibit more uncertainties than ground-based measurements. To encourage AI adoption in developing countries with small ground-based dataset, we propose data augmentation for regression tasks and compare performance evaluation of different AI models with and without data augmentation. More focus is placed on simple models that offer lesser computational cost and higher accuracy than deeper models that train longer and consume computer resources, which may be insufficient in developing countries. To implement this approach, we modelled and predicted streamflow data of the Asa River Watershed located in Ilorin, Kwara State Nigeria. Results revealed that adequate hyperparameter tuning and proper model selection improve streamflow prediction on small water dataset. This approach can be implemented in data-scarce regions to ensure timely flood intervention and early warning systems are adopted in developing countries.

• Journal of Advanced Technology Convergence
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• v.2 no.4
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• pp.7-11
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• 2023

In this study, we presented a method to recognize vehicle license plates using CNN techniques. A vehicle plate is normally used for the official identification purposes by the authorities. Most regular Optical Character Recognition (OCR) techniques perform well in recognizing printed characters on documents but cannot make out the registration number on the number plates. Besides, the existing approaches to plate number detection require that the vehicle is stationary and not in motion. To address these challenges to number plate detection we make the following contributions. We create a database of captured vehicle number plate's images and recognize the number plate character using Convolutional Neural Networks. The results of this study can be usefully used in parking management systems and enforcement cameras.

• Journal of the Korean Mathematical Society
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• v.55 no.1
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• pp.17-28
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• 2018

In this paper, we enlarge the ball of convergence of a uniparametric family of secant-like methods for solving non-differentiable operators equations in Banach spaces via using ${\omega}$-condition and centered-like ${\omega}$-condition meantime as well as some fine techniques such as the affine invariant form. Numerical examples are also provided.

• ETRI Journal
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• v.33 no.1
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• pp.128-131
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• 2011

This letter describes a file format designed for interactive music service where users are able to recompose music based on their own preferences. The proposed design utilizes the flexible features of the ISO base media file format (ISO/IEC 14496-12, ISO-BMFF). The techniques offered in the proposed file format enable compact storage and efficient preset management, allowing users to recompose music with ease and convenience. Additionally, an implementation scheme for an interactive music player is shown along with its results.

• Journal of Convergence for Information Technology
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• v.10 no.4
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• pp.175-183
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• 2020

The change in the demand and perception of wigs worn for hair loss is getting better, but hair extension is emerging as a new treatment method that improves as there are inconvenient areas such as hair loss, bleaching, and tangling of wigs themselves, and time spent on unnatural hair styling and wearing wigs. The purpose of this study is to verify that the quality of life of middle-aged female hair loss is positively affected by hair growth techniques that weave wool strands into their hair. Those surveyed were middle-aged women with hair loss and were analyzed by measuring the quality of life before and after hair growth. The analysis showed that hair increased techniques affects the economic satisfaction, physical satisfaction, mental satisfaction and social satisfaction of middle-aged women with hair loss, indicating that hair increased techniques is effective in improving the quality of life for middle-aged women with hair loss. It is also expected that the beauty industry will develop high value through hair increased techniques, a blue ocean in the beauty market.