• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.05a
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• pp.347-350
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• 2012

The researches on driver assistance systems that can prevent an accident have been actively performed due to social issues of traffic accidents with development of vehicle industry in recent. It is required for researchers to develope systems which assist driver's perception and judgment when considering that over 70% of traffic accidents occur by drivers' carelessness and 75% of the total accidents occur at the speed of less 29km per hour. In this paper, we implemented a front and rear vehicle monitoring system that monitors distance in real-time from a vehicle to obstacles at the low-speed or back-ward driving. The implemented system consists of a high angle ultrasonic sensor with distance detection of 10m and 10-degree angle, a wide angle ultrasonic sensor with the detection distance of 3m and a 180-degree, and a ATmega128 chip of ATmel company.

• 한국HCI학회:학술대회논문집
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• 2006.02b
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• pp.1-8
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• 2006

본 연구는 가전제품의 제품군과 그 기능들에 따라 차별화 가능한 인지적, 감성적 '청각 사용자 인터페이스 디자인 가이드라인(Auditory User Interface Design Guideline)'을 마련하고, 가전제품의 작동기능 정보와 직관적으로 연합 가능한 청각신호(auditory signal)를 제작할 수 있는 지침을 제시하여 GUI 중심의 제품 설계에서 한 차원 확장되고 사용자의 다중감각적 특성이 적용된 디자인 방법을 실무에 적용하고자 하였다. 특히 AUI 에 대한 체계를 확립함으로써 브랜드 정체성(Brand Identity) 및 기업 이미지를 제고할 수 있다는 목적을 함께 고려하였다. 이러한 연구가 필요했던 이유는 가전제품에 대한 소비자의 심적 모형(mental model)과 감성 측면에서의 접근에 대한 요구 때문인데, 이는 AUI 의 체계적 적용이 아닌 임의적 연결(mapping)으로 인한 버저(buzzer) 청각신호의 짜증(annoying) 발생이 빈번한 사례들에서 출발한다. 또한 GUI 의 변화와 수준에 미치지 못하는 AUI 의 업그레이드 필요성과 가전제품에서의 감성 마케팅 경향을 반영하는 의미를 지니고 있다. 이와 함께 멀티미디어 환경의 급속한 확산으로 다중감각적 정보제시(multimodal display)가 요구되는 상황에 걸맞은 시도이다. 본 연구는 특정 가전제품이나 특정 기능이 지니고 있는 인지적, 감성적 차원의 속성을 청각신호(auditory signal)의 다양한 속성들로 유발하는 관계를 추출하고, 이를 형성하는 기본 메커니즘에 대한 경험적 자료를 제시하여, 가전제품의 AUI 디자인에 유용한 가이드라인을 제공하고자 하였다. 그러나 본 논문에서는 연구의 구체적이고 세부적인 결과보다는 전체적인 계획과 진행과정의 절차를 소개하여 관련분야 연구 진행의 참조적 틀을 마련하고자 한다.

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.2
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• pp.349-356
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• 2020

This paper introduces the implementation of a driver's condition warning system using eye aspect ratio to prevent a car accident. The proposed driver's condition warning system using eye aspect ratio consists of a camera, that is required to detect eyes, the Raspberrypie that processes information on eyes from the camera, buzzer and vibrator, that are required to warn the driver. In order to detect and recognize driver's eyes, the histogram of oriented gradients and face landmark estimation based on deep-learning are used. Initially the system calculates the eye aspect ratio of the driver from 6 coordinates around the eye and then gets each eye aspect ratio values when the eyes are opened and closed. These two different eye aspect ratio values are used to calculate the threshold value that is necessary to determine the eye state. Because the threshold value is adaptively determined according to the driver's eye aspect ratio, the system can use the optimal threshold value to determine the driver's condition. In addition, the system synthesizes an input image from the gray-scaled and LAB model images to operate in low lighting conditions.

• Journal of Korean Association for Spatial Structures
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• v.9 no.3
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• pp.67-74
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• 2009

Presently means of utilizing sensors such as Piezoelectric(PZT) Element for evaluating the affect of oscillator, strain gauge for analyzing physical changes and use of Fiber Bragg Grating(FBG) Sensor are widely practiced in the field. In this study, PZT and FBG sensors were used to tearing damage of cable systems in these sensors. Cable systems are a construction of elements carrying only tension and no compression or bending in membrane structure. But damage detection of cable systems by using existing safety diagnosis is difficult to detect the characteristic change of overall structural action. If cable snaps are occurred to cable release and tear in tension structures, these are set up a vibration. So, we used piezo-electric materials and result of experiment using this was compared with result of experiment using FBG sensors The purpose of this research is to develop of damage detection method of cable system in tensile stress.

• The Journal of the Korea institute of electronic communication sciences
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• v.7 no.1
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• pp.107-115
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• 2012

This study incorporates welders and generators needed to use it and welder generators to be used as is to configure the system. Thus in order to propose an integrated system to prevent the rapid charging process to manage the power state information, system configuration is the most important. Therefore, the battery charging output port, the main input and output control ports, the generator control port, a warning alarm buzzer, UI switch input, EXT power output, check the battery status input, battery charge and discharge current, UI input control switch, generator status, the main power input and output, the output voltage, EXT warning output, DEBUG communication, UI display unit, an external input ADC units with a focus on generator control system was implemented.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.602-604
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• 2016

In this paper, we propose that it can control the interior lighting, LED and alarm clocks based on Bluetooth. The proposed 'Bluetooth based LED Alarm Lamp'may be an ON / OFF by using a Bluetooth module, by the light sensor and voltage transformers were designed to adjust the ON / OFF and light intensity. Also 7-segment display the clock, it was used a piezo-buzzer that designed to ring an alarm in time. And to decrease the voltage by using the touch sensor can adjust the light brightness. It was also added the ability to align the alarm. This piece (Bluetooth based LED Alarm Lamp) can provide a comfortable environment inside the room of a resident if the environment is dark when voltage is maintained to be ON automatic system. And designed with emphasis being able to improve the quality of sleep due to weak light.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.809-810
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• 2016

In this study, Speed-sensitive vehicle brake using the LED, When the driver presses the brake pedal, range step while being turned in connection taillights brake of the vehicle, such as speed-sensitive vehicle brake using the LED, It is turned on according to the deceleration of the vehicle to be series of points are displayed. The rear vehicle can prevent collision about an abrupt stop of preceding vehicle by perceiving deceleration state of preceding vehicle easier and faster. Also, if the inter-vehicle distance by using an ultrasonic sensor is closer than a certain distance, the emergency light turns on to convey the situation to the driver of the rear vehicle with a buzzer.

• Journal of the Korean Society of Industry Convergence
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• v.23 no.6_2
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• pp.971-977
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• 2020

In this paper, We propose a portable electrostatic meter which can measure high voltage static electricity caused by friction to prevent fire or explosion accidents in grinding, crushing, power injection, transport, filling, dust removal, painting, and foreign matter removal processes. The proposed device not only shows static electricity strength in 4 steps with respect to distance and voltage but also gives warning with a buzzer, on process facilities that are likely to generate high voltage static electricity due to friction. The device is implemented by filtering the signal detected by the wireless antenna, amplifying the signal by 6 times, and passing the signal through the integrator circuit. Tests are carried out with an electrostatic discharge simulator. And the results show that 4 LEDs are turned on at the distance of 10cm, 3 LEDs at 12cm, 2 LEDs at 13cm, and 1 LED at 15cm, when a fixed voltage of 500V is given. And also, the tests show that the static electricity can be detected at 5cm on 100V, 10cm on 200V, 15cm on 500V, 20cm on 1000V, and 25cm on 1500V. We expect to reduce accidents caused by static electricity by allowing safety managers on fields where fire or explosion accidents can happen to monitor static electricity.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.11
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• pp.1653-1659
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• 2022

Virtual reality content provides users with a high sense of immersion by using HMD devices. However, while wearing the HMD device, it is difficult to determine the user's location or distance from obstacles, resulting in injuries due to physical collisions. In this paper, we propose a reminder module to prevent accidents by notifying the risk of collision with obstacles while wearing the HMD device. The proposed module receives the user's state from the acceleration and gyro sensor and determines the motion that is likely to cause a collision. If there is an obstacle in the expected collision range, a buzzer sounds to the wearer. As a result of the experiment, the accuracy of obstacle detection in the state of wearing the HMD was 86.6% in the 1st stage and 83.3% in the 2nd stage, confirming the performance of the accident prevention reminder.

• Progress in Medical Physics
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• v.33 no.4
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• pp.136-141
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• 2022

Purpose: This study aimed to develop a breath control training system for breath-hold technique and respiratory-gated radiation therapy wherein the patients can learn breath-hold techniques in their convenient environment. Methods: The breath control training system comprises a sensor device and software. The sensor device uses a loadcell sensor and an adjustable strap around the chest to acquire respiratory signals. The device connects via Bluetooth to a computer where the software is installed. The software visualizes the respiratory signal in near real-time with a graph. The developed system can signal patients through visual (software), auditory (buzzer), and tactile (vibrator) stimulation when breath-holding starts. A motion phantom was used to test the basic functions of the developed breath control training system. The relative standard deviation of the maxima of the emulated free breathing data was calculated. Moreover, a relative standard deviation of a breath-holding region was calculated for the simulated breath-holding data. Results: The average force of the maxima was 487.71 N, and the relative standard deviation was 4.8%, while the average force of the breath hold region was 398.5 N, and the relative standard deviation was 1.8%. The data acquired through the sensor was consistent with the motion created by the motion phantom. Conclusions: We have developed a breath control training system comprising a sensor device and software that allow patients to learn breath-hold techniques in their convenient environment.