• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.8
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• pp.1825-1830
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• 2015

In some cases, despite the pedestrian jaywalking pedestrian traffic lights to red, or even wait for the walk signal to stand down in the driveway. If this is the case may be liable to lead to a traffic accident. Thus, using an infrared sensor wateuna adopted the approach that the warning announcement when a pedestrian enters the driveway, curved pedestrian crossing the intersection in this case, it is difficult to install. In this paper, we propose a Fitness referral system utilizes a built-in sensor of the Android mobile devices. For this purpose, the sensor is a proximity sensor using an acceleration sensor. The proximity sensor has a number of disadvantages compared to the high precision battery power, the acceleration sensor accuracy, fast response time, on the other hand, the disadvantage is the lower. Close to reduce battery consumption of the sensor, BMI of the user sensor control mechanism and increase the accuracy of the acceleration sensor (Body Mass Index) obtained after the index was applied to the recommendation algorithm, which like the movement mechanism.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.04a
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• pp.1382-1384
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• 2012

스마트폰이 제공하는 다양한 애플리케이션들은 스마트폰이 탑재한 센서들과 밀접한 관계가 있다. 본 논문에서는 최근 진화를 거듭하고 있는 스마트폰 센서의 종류와 이를 구현하기 위해 센서 매니저를 이용하는 법과 센서 값을 해석하는 법에 대해 분석해본다. 또한 이를 바탕으로 기기의 센서 목록을 읽어내는 간단한 프로그래밍 예를 소개하고 이를 설명한다.

• Journal of Advanced Navigation Technology
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• v.19 no.5
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• pp.446-451
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• 2015

Recently, researches on sensor-based U-health applications that provide personal health information such as blood pressure, body temperature, and glucose, have actively been studied. The health information obtained via sensors, however, may have accuracy problems so that they can not be used unprocessed. This paper proposes a sensor abstraction layer for enhancing the accuracy of sensor readings from biomedical sensors that interact with smart phones. This layer recognizes sensor types and converts sensor readings into a form as specified in ISO/IEEE 11073 Personal Health Standard. When necessary, not only a filtering method that eliminates outlier values from sensor readings but also a summarization method that transforms them into more suitable forms, can also be applied. An android-based development board is used for the evaluation of proposed sensor abstraction layer. The results obtained by applying filtering and summarization show improved accuracy over unprocessed sensor readings of the body temperature and heartbeat sensors.

• Journal of Information Processing Systems
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• v.14 no.4
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• pp.948-960
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• 2018

Many mobile sensing frameworks have been developed to help researcher doing their mobile sensing research. However, energy consumption is still an issue in the mobile sensing research, and the existing frameworks do not provide enough solution for solving the issue. We have surveyed several mobile sensing frameworks and carefully chose one framework to improve. We have designed an adaptive sampling module for a mobile sensing framework to help solve the energy consumption issue. However, in this study, we limit our design to an adaptive sampling module for the location and motion sensors. In our adaptive sampling module, we utilize the significant motion sensor to help the adaptive sampling. We experimented with two sampling strategies that utilized the significant motion sensor to achieve low-power consumption during the continuous sampling. The first strategy is to utilize the sensor naively only while the second one is to add the duty cycle to the naive approach. We show that both strategies achieve low energy consumption, but the one that is combined with the duty cycle achieves better result.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.1
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• pp.123-128
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• 2017

In this paper, we have proposed and implemented a smart sensor network system based on the Arduino open source hardware. The proposed smart sensor network system is composed of kinds of sensors and open-source hardware based, Arduino, etc. that can handle the measured sensor values. Also the communication modules that can be used to transmit the measured sensor values from the sensor control unit are configured. In the control unit the sensor data such as temperature, humidity, light intensity can be transmit to the main program and the main program will save the data in the DB or transmitting the value of the particular control signal to the control device or the actuator. The user can also check the information in the system using the measured values from the smart sensor networks through the web, or to remotely control a variety of actuators. And it is possible to manage a smart autonomous control over whether and how the proposed system.

• Journal of Korea Multimedia Society
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• v.18 no.4
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• pp.565-574
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• 2015

Falls are the main cause of serious injuries and accidental deaths in people over the age of 65. Due to widespread adoption of smartphones, there has been a growing interest in the use of smartphones for detecting human behavior and activities. Modern smartphones are equipped with a wide variety of sensors such as an accelerometer, a gyroscope, camera, GPS, digital compass and microphone. In this paper, we introduce a new method that determines the fall direction of human subjects by analyzing the three axis components of acceleration vector.

• Convergence Security Journal
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• v.12 no.1
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• pp.49-54
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• 2012

Special applications designed for smart phone, so called "Apps" are rapidly emerging as unique and effective sources of environmental monitoring tools. Using the advantages of Information and Communication Technology (ICT), this paper propose an application that provides Indoor Gas Monitoring System. In this paper, use four wireless gas sensor modules to acquire sensors data wirelessly coupled with the advantages of existing portable smart device based on Android platform to display the real-time data from the sensor modules. Additionally, this paper adapts a simple gas classification algorithm to inform in-door Gas for users real-time based.

• Journal of Korea Society of Digital Industry and Information Management
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• v.6 no.4
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• pp.143-151
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• 2010

In this paper, We designed the robot controller with Linux OS, Cygwin under the Marvell Monahan PXA320 embedded platform. Cygwin is a collection of tools for using the Linux-like environment for commercially released x86 32 bit and 64 bit versions of Windows and is a DLL that acts as a Linux API emulation layer providing substantial Linux API functionality. TinyOS-2. x is a component based embedded OS by UC Berkeley and is an open-source OS designed for interfacing the sensor application with specific C-language. The results of experiment are described to show the improvement of sensor interfacing functionality under the PXA320 embedded RTOS platform.

• Journal of the Korea Society of Computer and Information
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• v.20 no.7
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• pp.57-64
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• 2015

In this paper, we propose a design of microwave motion detector using X-band doppler radar sensor to minimize the power consumption. To minimize the power consumption and implement battery operated system, pulse input with 2 KHz, 4% duty cycle is exerted on the doppler radar sensor. In order to simplify the process of working with ATmega2560 microcontroller unit, Arduino compatible board is designed and implemented. Arduino is open source hardware and many library software is published as open source tools. Smartphone app is also proposed and designed as a real-time user interface of the motion detector. The SQLite database on the Android mobile operating system is used for recording raw data of motion detection for post-processing job, such as fast Fourier transform (FFT). Bluetooth interface module is implemented on the motion detection board as a wireless communication interface to the smartphone. The speed of human movement is identified by post-processing FFT.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.209-210
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• 2021

본 논문에서는 스마트 폰의 GPS 센서와 Google Map 기반의 러닝 운동을 효율적으로 할 수 있는 애플리케이션을 개발한다. 이 애플리케이션은 안드로이드의 GPS 센서를 이용하여 사용자의 위치, 달리는 속도(Km/h), 이동 거리(Km)를 기록하고 페이스 계산을 통해 사용자의 운동 목표량에 도달하도록 도와준다. 그리고 Google Map을 사용하여 사용자의 러닝 경로를 시각화하여 지도에 표시한다. 또한 이전의 운동 기록을 저장하여 효과적인 러닝 플랜을 세울 수 있도록 한다.