• Title/Summary/Keyword: 가속도 기반

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Design of lava Hardware Accelerator for Mobile Application (모바일 응용을 위한 자바 하드웨어 가속기의 설계)

  • 최병윤;박영수
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.8 no.5
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    • pp.1058-1067
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    • 2004
  • Java virtual machine provides code compactness, simple execution engines, and platform-independence which are important features for small devices such as mobile or embedded device, but it has a big problem, such as low throughput due to stack-oriented operation. In this paper hardware lava accelerator targeted for mobile or embedded application is designed to eliminate the slow speed problem of lava virtual machine. The designed lava accelerator can execute 81 instructions of Java virtual machine(JVM)'s opcodes and be used as Java coprocessor of conventional 32-bit RISC processor with efficient coprocessor interface and instruction buffer. It consists of about 14,300 gates and its maximum operating frequency is about 50 Mhz under 0.35um CMOS technology.

A Novel Way of Safety Awareness on the Walking with Single Sensor (단일 센서 이벤트 기반 옥외활동 안전 식별 방안)

  • Suh, Dong-Hyok;Oh, Young-Hwan
    • The Journal of the Korea institute of electronic communication sciences
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    • v.11 no.2
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    • pp.197-202
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    • 2016
  • This study suggests a novel way of safety cognition with single sensor. It is beneficial to make the most of the 3-axis acceleration sensor for context inference. It has remarkable advantages that size is too small and less malfunction or error. This study shows the calculation of the common life safety through the events data from the 3-axis acceleration sensor only. That includes the analyzation of the volume of energy and converting quantitative numerical value.

Smart phone Application Development for Aware of Unexpected Conditions using Accelerometer Sensors (스마트폰 가속도 센서 기반의 돌발 상황인식 어플리케이션 개발)

  • Cha, Kyung-Ae;Yeo, SunDong
    • Journal of Korea Society of Industrial Information Systems
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    • v.17 no.5
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    • pp.1-8
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    • 2012
  • A Smart phone is the one of the mobile devices widely used in our daily life. Moreover, various type of sensing data gathering from smart phone are effectively applicable to recognize of their users or smart phone status. Therefore, many smart phone applications based on sensor data have been actively developed. In this paper, we investigate an unexpected conditions recognition method using continuous sensing data from a single three-axis accelerometer. In addition, we implemented an application using the proposed method which provides the services notifying an abrupt changes of the smart phone conditions. By the experimented results, the application can be useful to protect the smart phone on the user's unaware conditions such as falling or a robbery case.

Implementation of Educational Two-wheel Inverted Pendulum Robot using NXT Mindstorm (NXT Mindstorm을 이용한 교육용 이륜 도립진자 로봇 제작)

  • Jung, Bo Hwan
    • Journal of the Institute of Electronics and Information Engineers
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    • v.54 no.7
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    • pp.127-132
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    • 2017
  • In this paper, we propose a controller gain based on model based design and implement the two-wheel inverted pendulum type robot using NXT Lego and RobotC language. Two-wheel inverted pendulum robot consists of NXT mindstorm, servo DC motor with encoder, gyro sensor, and accelerometer sensor. We measurement wheel angle using bulit-in encoder and calculate wheel angle speed using moving average method. Gyro measures body angular velocity and accelerometer measures body pitch angle. We calculate body angle with complementary filter using gyro and accelerometer sensor. The control gain is a weighted value for wheel angle, wheel angular velocity, body pitch angle, and body pich angular velocity, respectively. We experiment and observe the effect of two-wheel inverted pendulum with respect to change of control gains.

A Cache-based Reconfigurable Accelerator in Die-stacked DRAM (3차원 구조 DRAM의 캐시 기반 재구성형 가속기)

  • Kim, Yongjoo
    • KIPS Transactions on Computer and Communication Systems
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    • v.4 no.2
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    • pp.41-46
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    • 2015
  • The demand on low power and high performance system is soaring due to the extending of mobile and small electronic device market. The 3D die-stacking technology is widely studying for next generation integration technology due to its high density and low access time. We proposed the 3D die-stacked DRAM including a reconfigurable accelerator in a logic layer of DRAM. Also we discuss and suggest a cache-based local memory for a reconfigurable accelerator in a logic layer. The reconfigurable accelerator in logic layer of 3D die-stacked DRAM reduces the overhead of data management and transfer due to the characteristics of its location, so that can increase the performance highly. The proposed system archives 24.8 speedup in maximum.

Design and Implementation of a 3D Graphic Acceleration Device Driver for Embedded Systems (임베디드 시스템을 위한 3차원 그래픽 가속 장치 구동기의 설계 및 구현)

  • Kim, Seong-Woo;Lee, Jung-Hwa;Lee, Jong-Min
    • Journal of Korea Multimedia Society
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    • v.10 no.9
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    • pp.1209-1219
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    • 2007
  • It is difficult to run 3D graphics based application on the embedded system with hardware constraints. Therefore, such a system must have a systematic infrastructure which can process various operations with respect to 3D graphics through any graphic acceleration module. In this paper, we present a method to implement 3D graphics acceleration device driver on Tiny X platform which provide an open source graphics windowing environment. The proposed method is to initialize the driver step by step so that the direct rendering infrastructure can use it properly. Moreover, we evaluated overall 3D graphics performance of an implemented driver through a simple but effective benchmark program.

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A Study on Method for User Gender Prediction Using Multi-Modal Smart Device Log Data (스마트 기기의 멀티 모달 로그 데이터를 이용한 사용자 성별 예측 기법 연구)

  • Kim, Yoonjung;Choi, Yerim;Kim, Solee;Park, Kyuyon;Park, Jonghun
    • The Journal of Society for e-Business Studies
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    • v.21 no.1
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    • pp.147-163
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    • 2016
  • Gender information of a smart device user is essential to provide personalized services, and multi-modal data obtained from the device is useful for predicting the gender of the user. However, the method for utilizing each of the multi-modal data for gender prediction differs according to the characteristics of the data. Therefore, in this study, an ensemble method for predicting the gender of a smart device user by using three classifiers that have text, application, and acceleration data as inputs, respectively, is proposed. To alleviate privacy issues that occur when text data generated in a smart device are sent outside, a classification method which scans smart device text data only on the device and classifies the gender of the user by matching text data with predefined sets of word. An application based classifier assigns gender labels to executed applications and predicts gender of the user by comparing the label ratio. Acceleration data is used with Support Vector Machine to classify user gender. The proposed method was evaluated by using the actual smart device log data collected from an Android application. The experimental results showed that the proposed method outperformed the compared methods.

Verification of Navigation System of Guided Munition by Flight Experiment (비행 실험을 통한 유도형 탄약 항법 시스템 검증)

  • Kim, Youngjoo;Lim, Seunghan;Bang, Hyochoong;Kim, Jaeho;Pak, Changho
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.44 no.11
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    • pp.965-972
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    • 2016
  • This paper presents results of flight experiments on a navigation algorithm including multiplicative extended Kalman filter for estimating attitude of the guided munition. The filter describes orientation of aircraft by data fusion with low-cost sensors where measurement update is done by multiplication, rather than addition, which is suitable for quaternion representation. In determining attitude from vector observations, the existing approach utilizes a 3-axis accelerometer as a 2-axis inclinometer by measuring gravity to estimate pitch and roll angles, while GNSS velocity is used to derive heading of the vehicle. However, during accelerated maneuvers such as coordinated flight, the accelerometer provides inadequate inclinometer measurements. In this paper, the measurement update process is newly defined to complement the vulnerability by using different vector observations. The acceleration measurement is considered as a result of a centrifugal force and gravity during turning maneuvers and used to estimate roll angle. The effectiveness of the proposed method is verified through flight experiments.

Accelerating Depth Image-Based Rendering Using GPU (GPU를 이용한 깊이 영상기반 렌더링의 가속)

  • Lee, Man-Hee;Park, In-Kyu
    • Journal of KIISE:Computer Systems and Theory
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    • v.33 no.11
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    • pp.853-858
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    • 2006
  • In this paper, we propose a practical method for hardware-accelerated rendering of the depth image-based representation(DIBR) of 3D graphic object using graphic processing unit(GPU). The proposed method overcomes the drawbacks of the conventional rendering, i.e. it is slow since it is hardly assisted by graphics hardware and surface lighting is static. Utilizing the new features of modem GPU and programmable shader support, we develop an efficient hardware-accelerating rendering algorithm of depth image-based 3D object. Surface rendering in response of varying illumination is performed inside the vertex shader while adaptive point splatting is performed inside the fragment shader. Experimental results show that the rendering speed increases considerably compared with the software-based rendering and the conventional OpenGL-based rendering method.