• Journal of Digital Convergence
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• v.15 no.1
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• pp.217-225
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• 2017

A study proposes possibility of new IoT measuring system blended with a smart device. The research serves the best cultivation information for domestic fruit's enhancement of competitive power and also develops a glucose measuring system by which people manage fructose with the mobile device. The mobile glucose tester is designed with a form of accessory which has high portability and utility because the product connects an existing analogy refractometer to the smart phone. You can check the glucose rates data by commodity, region, and season then save measurement results with server in real time for an exclusive application. It's possible to serve the glucose map, graph, and data list through the web service. This is very useful to do collect, analyze, and process the glucose data.

• Journal of Digital Contents Society
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• v.17 no.5
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• pp.339-348
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• 2016

While the development of digital media has positive aspects of knowledge enlargement and a new communication channel, it also demonstrates a lot of unexpected defects, such as personal isolation, addiction, obsession or Attention Deficit Hyperactivity. Thus, the author considers it is urgent to develop the contents specifically designed for children in this new digital environment and would like to propose the combined Children's device and contents using the new concept of Mixed Reality. The Mixed Reality that mixes real world and virtual world provides the opportunity that can experience the new concept of play education by using touchable interface of children's real life toy cars together with the virtual world in the smart phones. This Mixed Reality that is extended from sole senses will lead the children to develop the concentration, sense of reality and imagination and also to experience the enlarged play and education concept.

• Journal of the Institute of Convergence Signal Processing
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• v.10 no.3
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• pp.170-175
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• 2009

In this paper, we propose real time automatic speaker verification (ASV) system to protect personal information on personal digital assistant (PDA) device. Recently, the capacity of PDA has extended and been popular, especially for mobile environment such as mobile commerce (M-commerce). However, there still exist lots of difficulties for practical application of ASV utility to PDA device because it requires too much computational complexity. To solve this problem, we apply the method to relieve the computational burden by performing the preprocessing such as spectral subtraction and speech detection during the speech utterance. Also by applying the hidden Markov model (HMM) optimal state alignment and the sequential probability ratio test (SPRT), we can get much faster processing results. The whole system implementation is simple and compact enough to fit well with PDA device's limited memory and low CPU speed.

• Journal of the Institute of Convergence Signal Processing
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• v.10 no.4
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• pp.245-255
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• 2009

Recently, embedded processor systems have been widely used in the field of information communication devices and increased its use range and influence. The embedded systems are offered variety of functions, and its operating systems have been developed to make them easy to repair and maintain. Especially embedded linux is very cheap and provide a lot of equipment drivers. Also we can set up our own system because the source code is opened. In this paper, we describe the implementation of Touch panel and TFT-LCD device driver that are widely used for multimedia application. We designed the system hardware by using Altera Nios II embedded system. And we implemented the device drivers of frame buffer, touch panel and i2s based on uClinux for multimedia application, and tested actual operations of the integrated system.

• Journal of the Institute of Convergence Signal Processing
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• v.21 no.2
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• pp.80-85
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• 2020

Recently the incidence of musculoskeletal disorders in students and office workers is increasing, and the necessity of maintaining correct posture and corrective training is required, but related research is insufficient. In the previous study, a membrane sensor or a pressure sensor was placed on the seat cushion to see the deviation of the body weight, or a sensor that restrained the user was attached to measure the position change. In this study, a sensor device for detecting a position change in consideration of wearing comfort was developed, and the measured angle was verified through an analysis app. A sensor device consisting of an IMU sensor is attached to the cervical spine and vertebra spine to measure the position transformation in the sitting position. The change value of the position measured by the two sensors was converted into an angle, and the angle value is displayed in real time through the analysis app. In this study, the possibility of measuring the real-time change value according to the change in position, the convenience of wearing, and the tendency of angle measurement were proved. Future research should proceed with more precise angle calculation and correction of motion noise.

• Convergence Security Journal
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• v.22 no.1
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• pp.135-140
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• 2022

This study aims to analyze exercise cases and issues using smart devices and technologies, and to present the development direction of a smart exercise environment suitable for the wellness life of active seniors with high activity and economic power unlike the existing silver generation. In the fitness industry, the subscription economy that regularly receives or uses necessary exercise tools, services, and digital content is expanding, and business models based on hardware sales and content subscription continue to emerge. In order to have value competitiveness as a platform that provides active seniors with integrated exercise services for health care, not only fitness centers, but also home training exercise equipment, fitness-related applications, and smart wearable device markets should be organically connected to form an expanded total platform. In order to have value competitiveness as a platform that provides active seniors with integrated exercise services for health care, not only fitness centers, but also home training exercise equipment, fitness-related applications, and smart wearable device markets should be organically connected to form an expanded total platform. The linkage of the digital healthcare function, which provides real-time changes to exercise programs based on continuous monitoring and feed back through wearable devices before, after, and during exercise by receiving and selecting exercise programs suitable for individual health status, is the differentiating factor in the smart fitness model.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.4
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• pp.41-46
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• 2016

Recently, many domestic and foreign corporates are concentrating in investment to wearable devices and users are provided with various service based on wearable devices 26% more than compared to last year. It is widely used in previous healthcare, smart work, smart home environment, and it is now introduced to get connection to fused service environment. However, as products of G company are commercialized, the security issue of personal information is causing dispute in society, and the danger of data management and security regarding telecommunication is increasing. Also, because the password system used in previous wireless environment is still in use, there are possible vulnerability considering the new and mutant security threat. This thesis conducted study about protocols that can exercise safe telecommunication in the basis of wearable devices. In the registration and certification process, the signature value is created based on the code value. The telecommunication method is designed to conduct safe telecommunication based on the signature value. As for the attack method occurring in the wearable device environment, the safety was analyzed and conducted performance evaluation of previous password system and proposal system, and verified about 14% of efficiency.

• 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 Vacuum Society Conference
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• 2013.02a
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• pp.496-496
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• 2013

스마트윈도우는 디스플레이, 산업용 외장재 등 다양한 분야에 응용이 가능하며, 특히 전기변색을 이용한 디바이스는 나노코팅 기술을 통한 나노입자 및 나노가공제어 등 나노융합기술을 접목할 수 있다. 전기변색 디바이스는유리 또는 필름 기판소재를 통해 제작이 가능하며, 본 연구에서는 전기변색의 산화, 환원반응에 의해 재료의 광특성이 가역적으로 변화할 수 있는 물질을 증착하여 기존 라미네이터 및 Sol-Gel방식의 전해질보다 열화현상에의한 성능저하를 막아주는 박막전해질 코팅 연구이다. 전기변색 소자는 외부 인가 전압(external voltage)에 의해 유도된 전하의 주입(injection) 과 추출(extraction)을 통하여 그 광학적 특성(optical property)을 가역적으로(reversibly) 변 화시킬 수 있는 특징을 가지고 있다. 전기변색소재의 원리를 간략하게 설명하면 대표적인 환원착색 물질인 전기변색층(WO, MoO, Nb2O5 등)으로 Li+ 또는 H+과 전자가 주입되면 전기변색되고 방출 시는 투명하게 되며, 반대로산화착색 물질인(V2O5, NiO, IrO, MnO 등)으로 Li+ 또는 H+과 전자가 방출되면 변색되고 주입되면 투명하게 되는 것이다. 본 연구에서는 전자가 주입되는 환원착색물질인 WO와 함께 Ta2O5박막을 증착하여 광학적특성을 연구하고 박막의 두께 및 전압인가에따른 변색 및 응답속도를 연구하고자 한다.

• The Journal of Korean Institute of Next Generation Computing
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• v.15 no.2
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• pp.7-16
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• 2019

Neural networks can be implemented in variety of ways, and specialized chips is being developed for hardware improvement. In order to apply such neural networks to wearable devices, the compactness and the low power operation are essential. In this point of view, a suitable implementation method is a digital circuit design using field programmable gate array (FPGA). To implement this system, the learning algorithm which takes up a large part in neural networks must be implemented within FPGA for better performance. In this paper, a back propagation algorithm among various learning algorithms is implemented using FPGA, and this neural network is verified by OR gate operation. In addition, it is confirmed that this neural network can be used to analyze various users' bio signal measurement results by learning algorithm.