• Journal of Practical Engineering Education
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• v.11 no.1
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• pp.87-103
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• 2019

The purpose of this study is to examine the factors affecting the intention of smart device internet usage from the perspective of lifelong learning of elderly people. Survey was conducted for understanding the factors affecting the internet usage intention of smart devices with 150 elderly people who visited the Gwangju Senior Technology Center (GSTC). The empirical results show that the perceived economic value and practical value of the elderly have a significant effect on the intention of utilizing the Internet of Smart Device. Although the moderating effect of the individual innovation of the elderly is not significant, Participation in social activities significantly moderated the relationship between perceived value and intention to use internet. In addition, the elderly expected that the quality of life would be improved via the use of smart devices.

• Journal of the Society of Disaster Information
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• v.18 no.3
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• pp.433-443
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• 2022

Purpose: In this paper, we propose a study of deep learning algorithms that estimate and predict sarcopenia by exploiting the high penetration rate of smart devices. Method: To utilize deep learning techniques, experimental data were collected by using the inertial sensor embedded in the smart device. We implemented a smart device application for data collection. The data are collected by labeling normal and abnormal gait and five states of running, falling and squat posture. Result: The accuracy was analyzed by comparative analysis of LSTM, CNN, and RNN models, and binary classification accuracy of 99.87% and multiple classification accuracy of 92.30% were obtained using the CNN-LSTM fusion algorithm. Conclusion: A study was conducted using a smart sensoring device, focusing on the fact that gait abnormalities occur for people with sarcopenia. It is expected that this study can contribute to strengthening the safety issues caused by sarcopenia.

• 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.

• Smart Media Journal
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• v.2 no.1
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• pp.37-41
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• 2013

The Smart Use Interface Platform(SUIP) which is the next generation of smart phone's intelligent user interface platform researches, has a function of finding outer devices and has the dynamic loading function of the device driver. This paper introduce platform converter between smartphone and outer devices, named SUIP converter and it's applications, the SUIP converter can combines the smart phones which has Smart Use interface Platform and the Devices like sensor network devices which can be hardly connected to the smart phones.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.6
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• pp.3858-3864
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• 2014

This paper proposes the smart emotion lighting control system of a mobile-based. The proposed smart emotional lighting control system to reduce the emotional lighting device, internal heat and the power consumption was configured to the android platform mobile device and zigbee module, emotional lighting device, lighting control module, power supply, and general-purpose transistor. The mobile device was to transmit the real-time control information to the emotional lighting device when connected to the system, and it was designed to control the emotion lighting device based on the control messages and status monitoring. In this paper, the efficiency verification results of the proposed smart emotional lighting control system showed that it was possible to control by emotion lighting control and the color temperature variable. The heating value and the power consumption could be reduced by21% and up to 48%, because of the controlled lighting using emotion language.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.4
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• pp.111-116
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• 2018

In this thesis, the range of motion of the joint was measured using a flexible sensor without using a goniometer, and the measured values were transferred to a smart device. Current range of joint motion measurement is measured by a person using a goniometer. Since the method of measuring by a person is different according to the measuring method and position of the measuring person, it is difficult to make consistent measurement, and an error may occur. The sensor for measurement is a flexible sensor that measures the resistance value that changes according to the movement of the joint. The sensed value can be transmitted to the smart device wirelessly through the ROM sensor node. Also, the sensed analog values were converted to digital values using an ADC. The converted value can be transmitted to the smart device wirelessly through the sensor node. The developed ROM measuring device can perform more consistent measurement than the measurement using general articulator and real time monitoring by interlocking with smart device, so that rapid diagnosis according to the movement of the joint can help the patient's rapid treatment and rehabilitation medical advancement will be.

• Journal of the Korea Convergence Society
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• v.12 no.6
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• pp.107-112
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• 2021

The purpose of this to study a more accurate scoring method in accordance with the change in the game due to the fast-break and external shots of modern basketball. We will make to design and develop a smart basketball device with a digital pressure sensor. The basketball is a sport that combines complex techniques such as dribbling, passing, and shooting, and the game wins or loses with the most goals in all sports on the planet. In particular, shooting, which determines the win or loss of a game, is the technique that is most directly linked to the score, so the angle of projection is important to make a more accurate shooting. The purpose of this to develop an assistive device in order for the player to have a certain shooting rhythm by measuring the throw angle through a sensor that can measure the throw angle of the ball during shooting. This smart basketball device, it is possible to increase the accuracy of shooting through a certain throw angle at the basketball game field or during shooting practice, and accordingly, the performance can be expected to improve.

• Journal of Korea Multimedia Society
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• v.21 no.8
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• pp.925-933
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• 2018

In this paper, we propose a new smart ordering application system for granting the customer numbers. The proposed system assigns sequence number of customers who visit at offline store as using speaker and microphone of smart device. This system has more advantage than the existing ordering system. Because the proposed system does not need any customer information like as phone number or SNS ID, it can protect customer privacy information. In this system, we use high frequency which is inaudible to the human ear as communication signal between speaker and microphone. To confirm performance evaluation, we perform a test with ten smart devices like as iPhone 6, 7, 8, Galaxy s8 and the result shown a success rate of 98.7 percent. Therefore, the proposed system can be useful service technology at the various offline store which need to assign a sequence number for customers, because many customers visit at the store.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.1072-1075
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• 2005

This paper presents that TD method is applied to the human adaptive devices for smart home with context awareness (or recognition) technique. For smart home, the very important problem is how the appliances (or devices) can adapt to user. Since there are many humans to manage home appliances (or devices), managing the appliances automatically is difficult. Moreover, making the users be satisfied by the automatically managed devices is much more difficult. In order to do so, we can use several methods, fuzzy controller, neural network, reinforcement learning, etc. Though the some methods could be used, in this case (in dynamic environment), reinforcement learning is appropriate. Among some reinforcement learning methods, we select the Temporal Difference learning method as a core algorithm for adapting the devices to user. Since this paper assumes the environment is a smart home, we simply explained about the context awareness. Also, we treated with the TD method briefly and implement an example by VC++. Thereafter, we dealt with how the devices can be applied to this problem.

• Journal of Korea Society of Digital Industry and Information Management
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• v.16 no.1
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• pp.33-39
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• 2020

A smart grid is a next-generation power grid that can improve energy efficiency by applying information and communication technology to the general power grid. The smart grid makes it possible to exchange information about electricity production and consumption between electricity providers and consumers in real-time. Advanced metering infrastructure (AMI) is the core technology of the smart grid. The AMI provides two-way communication by installing a modem in an existing digital meter and typically include smart meters, data collection units, and meter data management systems. Because the AMI requires data collection units to control multiple smart meters, it is essential to ensure network availability under heavy network loads. If the load on the work done by the data collection unit is high, it is necessary to allocation new data collection units to ensure availability and improve energy efficiency. In this paper, we discuss the allocation scheme of data collection units for the energy efficiency of the AMI.