• Fashion & Textile Research Journal
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• v.22 no.1
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• pp.55-65
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• 2020

Smart photonic clothing integrates light emitting technology inside and outside of the garment and integrates it as a fashion product. It expresses digital color that radiates light outside the body that expands the functionality of the clothing as well as makes new and various attempts visually. It is also is gradually expanding into a new area of fashion. LED, one of the digital color output devices, is a light emitting device that is suitable for presenting consumer customized designs in that the patterns and colors of clothes can be modified as desired by utilizing computer technology such as program coding. LED technology that can realize various digital colors is actively applied in various industrial design fields, but there are few previous studies on smart clothes using LED color in Korean fashion fields. Therefore, this study develops a prototype of a customized LED smart photonic garment that allows the user to directly participate in the color implementation of clothing and select a digital color suitable for the desired function. The LED module was designed to be detachable from clothing and made using a 256-pixel LED matrix. Various coding patterns of the LED were designed using the coding change of Arduino program.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.16 no.2
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• pp.291-297
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• 1998

In order to accomplish the digital map production I/O devices should be used which are used for data input procedure to convert original paper map(hardcopy) data into computer compatible digital map data, and for the mapsheet output procedure of worked out data. For the input device, digitizer and scanner are most frequently used. Digitizer has possibility of direct production of digital data, and are mainly used for input procedure of partly plotted source map. In contrary, scanner is rather easy to operate the instrument, so that is widely used for the input procedure of original sheet map. In this study, to extract the input device characteristics, some kinds of digitizers and scanners were cheesed and used for the positional error analysis through the operational method and types of instruments. Also for the output device characteristics, some kinds of plotter and materials are used and compared to analyze the positional error through the instrumental types and output sheet materials.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.338-341
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• 2016

Smart Education began with the smart generation. But It did not activated and stopped Provisionally. Because Digital contents for smart education are low quality, and education devices are expensive. In this paper, we analyze compatibility and usability of essential digital textbook and device in smart education. Through this paper to indicate the optimum effectiveness in using a limited budget. To activate the smart education spread again. To enhance its position as the home of Smart Education. Improve the quality of education and to contribute to the future development of the nation.

• Journal of Biosystems Engineering
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• v.35 no.6
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• pp.387-392
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• 2010

This study was performed to design and to construct a digital soil cone index(CI) measuring device replacing conventional analog type devices. The device developed in the study consisted of a load cell, a rotary encoder and a motor with a decelerator as its main parts. The cone speed was controlled lower than 3.0 m/s which keeps the standard suggested by the ASABE S313.3 specification. The experiment was conducted in a soil bin system as well as in various fields. The CI data measured by the developed device were compared with those by an existing measurement device(SC900, Spectrum, USA). Based on the experiments at various field conditions, the CI measuring characteristic of the device was quite similar to that of the conventional device within a acceptable $R^2$ range of more than 0.5(mean=0.76). It was concluded that the digital cone index measuring device was an effective and comprehensive sensor for measuring soil strength.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.353-355
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• 2017

Recently developed digital devices are being used in cyberspace. Digital device users are engaged in activities such as financial settlement and e-commerce using cyber-connected terminals. With the activation of cyber trading, cyber crimes against users are increasing. Forensic evidence should be obtained from investigations of cybercrime. However, there is a lot of information to analyze digital forensic evidence. In many of these digital information, Scripts are an effective way to secure evidence for cybercrime. In this paper, we study how to secure forensic evidence using scripts. Extract evidence from EnCase and study how to obtain evidence using scripts. This study will be used as the basic data for cyber security for the safe life of the people.

• The Journal of Bigdata
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• v.6 no.1
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• pp.115-125
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• 2021

Due to various ICT Technology innovations and Digital Transformation, the Internet of Things(IoT) environment is increasingly requiring intelligence, decentralization, and automated service, especially an advanced and stable smart service environment in the Industrial Internet of Things(IIoT) where communication network(5G), data analysis and artificial intelligence(AI), and digital twin technology are combined. In this study, we propose IIoT Edge middleware systems for flexible interface with heterogeneous devices such as facilities and sensors at various industrial sites and for quick and stable data collection and processing.

• Journal of Korea Society of Digital Industry and Information Management
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• v.18 no.4
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• pp.47-54
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• 2022

In this paper, MEMS embedded system design implemented the sensor events via analyzing the characteristics that dynamically happened to an abnormal status in power IoT environments in order to guarantee a maintainable operation. We used three kinds of tools in this paper, at first Bluetooth Low Energy (BLE) technology which is a suitable protocol that provides a low data rate, low power consumption, and low-cost sensor applications. Secondly LSM6DSOX, a system-in-module containing a 3-axis digital accelerometer and gyroscope with low-power features for optimal motion. Thirdly BM1422AGMV Digital Magnetometer IC, a 3-axis magnetic sensor with an I2C interface and a magnetic measurable range of ±120 uT, which incorporates magneto-impedance elements to detect the magnetic field when the current flowed in the power devices. The proposed MEMS system was developed based on an nRF5340 System on Chip (SoC), previously compared to the standalone embedded system without bluetooth technology via mobile App. And also, MEMS embedded system with BLE 5.0 technology broadcasted the MEMS system status to Android mobile server. The experiment results enhanced the performance of MEMS system design by combination of sensors, BLE technology and mobile application.

• Journal of the Korean Society of Industry Convergence
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• v.25 no.6_2
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• pp.1029-1036
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• 2022

The traditional outdoor advertising market has been stagnant recently, but the digital advertising market has been steadily increasing, and the digital signage market has been expanding despite the recent corona pandemic. However, in terms of hardware, new displays are required due to excessive power consumption, lack of visibility in sunlight, and continuous operating expenses. Since the e-paper display does not require a light emitting device therein, it is advantageous to solve above problems. In addition, it has the advantage of consuming power only when converting an image due to bistability, so it is suitable as hardware that implements images rather than moving pictures. Currently, one of the most successful examples of commercializing e-paper displays is ESL devices. According to a recent market study, the market for large-sized panels larger than 10 inches has grown at an annual rate of 21.6%, and the market is expected to exceed 30% by 2026. It is judged that it will be relatively easy to apply the roll-to-roll technology, which is currently developing the technology applied to OLED, to the e-paper display. Therefore, mass production technology and market expansion for ESL panel enlargement are expected, and a new market is also expected to be formed at the same time. New markets will be traffic signs, public displays, billboards, façades, kiosks, digital signage, and so on.

• Journal of IKEEE
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• v.27 no.3
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• pp.333-339
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• 2023

The global market for wearable devices is growing, driving demand for efficient PMICs. Wearable PMICs must be highly energy-efficient despite limited hardware resources. Advancements in process technology enable low-power consumption, but traditional analog LDO regulators face challenges with reduced power supply voltage. In this paper, a novel ADC design with a 3-bit continuous-time flash ADC for the coarse loop and a 5-bit discrete-time SAR ADC for the fine loop is proposed for digital LDO, achieving a 34.78 dB SNR and 5.39 bits ENOB in a 55-nm CMOS technology.

• Korean Journal of Artificial Intelligence
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• v.11 no.3
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• pp.29-34
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• 2023

Recently, the rapid development of artificial intelligence technology, many studies are being conducted to predict the risk of heart disease in order to lower the mortality rate of cardiovascular diseases worldwide. This study presents exercise or dietary improvement contents in the form of a software app or web to patients with cardiovascular disease, and cardiovascular disease through digital devices such as mobile phones and PCs. LR, LDA, SVM, XGBoost for the purpose of developing "Life style Improvement Contents (Digital Therapy)" for cardiovascular disease care to help with management or treatment We compared and analyzed cardiovascular disease prediction models using machine learning algorithms. Research Results XGBoost. The algorithm model showed the best predictive model performance with overall accuracy of 80% before and after. Overall, accuracy was 80.0%, F1 Score was 0.77~0.79, and ROC-AUC was 80%~84%, resulting in predictive model performance. Therefore, it was found that the algorithm used in this study can be used as a reference model necessary to verify the validity and accuracy of cardiovascular disease prediction. A cardiovascular disease prediction analysis algorithm that can enter accurate biometric data collected in future clinical trials, add lifestyle management (exercise, eating habits, etc.) elements, and verify the effect and efficacy on cardiovascular-related bio-signals and disease risk. development, ultimately suggesting that it is possible to develop lifestyle improvement contents (Digital Therapy).