• Title/Summary/Keyword: A/D board

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Effects of Accelerometer Signal Processing Errors on Inertial Navigation Systems (가속도계 신호 처리 오차의 관성항법장치 영향 분석)

  • Sung, Chang-Ky;Lee, Tae-Gyoo;Lee, Jung-Shin;Park, Jai-Yong
    • Journal of the Korea Institute of Military Science and Technology
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    • v.9 no.4
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    • pp.71-80
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    • 2006
  • Strapdown Inertial navigation systems consist of an inertial sensor assembly(ISA), electronic modules to process sensor data, and a navigation computer to calculate attitude, velocity and position. In the ISA, most gryoscopes such as RLGs and FOGs, have digital output, but typical accelerometers use current as an analog output. For a high precision inertial navigation system, sufficient stability and resolution of the accelerometer board converting the analog accelerometer output into digital data needs to be guaranteed. To achieve this precision, the asymmetric error and A/D reset scale error of the accelerometer board must be properly compensated. If the relation between the acceleration error and the errors of boards are exactly known, the compensation and estimation techniques for the errors may be well developed. However, the A/D Reset scale error consists of a pulse-train type term with a period inversely proportional to an input acceleration additional to a proportional term, which makes it difficult to estimate. In this paper, the effects on the acceleration output for auto-pilot situations and the effects of A/D reset scale errors during horizontal alignment are qualitatively analyzed. The result can be applied to the development of the real-time compensation technique for A/D reset scale error and the derivation of the design parameters for accelerometer board.

Civil Servant Commitment on Giving Cash Waqf: Does Trust Matter?

  • Rifadli D. KADIR;Hilmy BAROROH;Luqmanul Hakiem AJUNA;Wiwin KONI;Supandi RAHMAN;Sri Apriyanti HUSAIN
    • Journal of Distribution Science
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    • v.21 no.12
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    • pp.35-45
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    • 2023
  • Purpose: This study analyzes civil servants' trust in cash waqf institution and their relationship with commitment. We use Key Mediating Variables (KMV) Theory with variables such as board benevolence, board integrity, board ability, board opportunism, communication, and accountability to predict the trust and commitment of civil servants in providing cash waqf. Research design, data and methodology: We used a quantitative research approach and an online questionnaire distributed to civil servants in Gorontalo Province; 410 respondents were obtained. Structural Equation Modeling (SEM) was used, utilizing the SEM-PLS software to analyze the data. Result: This study found that the variables board benevolence, board ability, board integrity, board opportunism, communication, and accountability affected trust. As for the variable of accountability, the hypothesis was rejected Conclusion: The communication variable of cash waqf institutions has a strong influence in increasing the confidence of civil servants in providing cash endowments. However, trust in waqf institutions may diminish due to low accountability and poor governance of cash waqf institutions. The trust of civil servants in cash waqf institutions in the future will increase their commitment to waqf.

Design of a Dingle-chip Multiprocessor with On-chip Learning for Large Scale Neural Network Simulation (대규모 신경망 시뮬레이션을 위한 칩상 학습가능한 단일칩 다중 프로세서의 구현)

  • 김종문;송윤선;김명원
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.33B no.2
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    • pp.149-158
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    • 1996
  • In this paper we describe designing and implementing a digital neural chip and a parallel neural machine for simulating large scale neural netsorks. The chip is a single-chip multiprocessor which has four digiral neural processors (DNP-II) of the same architecture. Each DNP-II has program memory and data memory, and the chip operates in MIMD (multi-instruction, multi-data) parallel processor. The DNP-II has the instruction set tailored to neural computation. Which can be sed to effectively simulate various neural network models including on-chip learning. The DNP-II facilitates four-way data-driven communication supporting the extensibility of parallel systems. The parallel neural machine consists of a host computer, processor boards, a buffer board and an interface board. Each processor board consists of 8*8 array of DNP-II(equivalently 2*2 neural chips). Each processor board acn be built including linear array, 2-D mesh and 2-D torus. This flexibility supports efficiency of mapping from neural network models into parallel strucgure. The neural system accomplishes the performance of maximum 40 GCPS(giga connection per second) with 16 processor boards.

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Artificial Engine Development through Reinforcement Learning on Jul-Gonu Game (강화학습을 이용한 줄고누게임의 인공엔진개발)

  • Shin, Yong-Woo
    • Journal of Internet Computing and Services
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    • v.10 no.1
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    • pp.93-99
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    • 2009
  • Game program manufacture had been classed by 3D or on-line game etc. simply. But, atomized game programmer's kind now. So, Artificial Intelligence game programmer's role is important. This paper used reinforcement learning algorithm for Jul_Gonu board characters to learn, and so they can move intelligently. To compare a learned character to an random one, a board game was created, and then they fought against each other. As a result, learned character‘s ability was far more improved.

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Development of Camera System Board Using ARM (ARM을 이용한 카메라 시스템 보드 개발에 관한 연구)

  • Choi, Young-Gyu
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.11 no.6
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    • pp.664-670
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    • 2018
  • In modern society, CCTV, which is the eye of surveillance, is being used to collect image data in various ways in daily life. CCTV is used not only for security, surveillance, and crime prevention but also in many fields such as automobile and black box. In this paper, we have developed a STM32F407 ARM chip based camera system for various applications. In order to develop camera system, modeling of camera system based on 3D structure was carried out in SolidWorks environment. The PCB board design was developed to extract the PCB parts from the camera system modeling files into iges files, convert them from the Altium Designer tool into 3D and 2D boards, After designing the camera system circuit and PCB, we have been studying the implementation of the stable system by using TRM (Thermal Risk Management) tool to cope with the heat simulation generated on the board.

Matlab/Simulink based Realtime Simulation of Induction Motor Drives (Matlab/Simulink기반 유도전동기 벡터제어 시스템의 실시간 시뮬레이션)

  • Lee HakJu;Kwon SeongChul;Yang SeungKwon;Oh SungUp;Seong SeJin
    • Proceedings of the KIPE Conference
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    • 2004.07a
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    • pp.19-22
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    • 2004
  • In this paper, we present a way that can implement the vector control Algorithm of induction motor and PWM signal generation on the basis of Matlab Simulink environment. The overall system model is designed by Simulink toolbox for vector control of induction motor, and then implement experiment with the DS1103 board of dSPACE. Although we are not coding the system, it is capable of doing simulation and experiment simultaneously. That is why Matlab and dSPACE board compiler can generate the '*.c' and '*.obj' files on the designed system automatically. After considering about hardware structure and driving system in Ds1103 board we verify the availability of Proposed method through in a comparison/analysis between simulation and experiment.

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Arduino Learning Content using Blender and Unity Engine (블렌더와 유니티 엔진을 이용한 아두이노 학습 콘텐츠 설계)

  • Lee, Min-Hye;Park, Hyuk-Gyu;Won, Dong-Hyun;Kang, Sun-kyung;Shin, Sung-yoon;Kang, Yun-Jeong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.10a
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    • pp.386-388
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    • 2022
  • Recently, realistic contents using virtual reality and augmented reality are attracting attention as learning aids. 3D-based contents have the advantage of being able to observe and experience objects from various angles than 2D-based contents shown on a flat surface. In this paper, we propose a content design based on 3D model for Arduino learning in a virtual environment. The Arduino board and sensor were implemented using Blender, and a 3D-based simulator environment was constructed using the Unity engine. The proposed content uses the Arduino board and sensor implemented in 3D so that learners can easily experience the working principle of Arduino and the coding process.

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Improved LiDAR-Camera Calibration Using Marker Detection Based on 3D Plane Extraction

  • Yoo, Joong-Sun;Kim, Do-Hyeong;Kim, Gon-Woo
    • Journal of Electrical Engineering and Technology
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    • v.13 no.6
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    • pp.2530-2544
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    • 2018
  • In this paper, we propose an enhanced LiDAR-camera calibration method that extracts the marker plane from 3D point cloud information. In previous work, we estimated the straight line of each board to obtain the vertex. However, the errors in the point information in relation to the z axis were not considered. These errors are caused by the effects of user selection on the board border. Because of the nature of LiDAR, the point information is separated in the horizontal direction, causing the approximated model of the straight line to be erroneous. In the proposed work, we obtain each vertex by estimating a rectangle from a plane rather than obtaining a point from each straight line in order to obtain a vertex more precisely than the previous study. The advantage of using planes is that it is easier to select the area, and the most point information on the board is available. We demonstrated through experiments that the proposed method could be used to obtain more accurate results compared to the performance of the previous method.

Design of a Rule-Based Solution Based on MFC for Inspection of the Hybrid Electronic Circuit Board (MFC 기반 하이브리드 전자보오드 검사를 위한 규칙기반 솔루션 설계)

  • Ko Yun-Seok
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.54 no.9
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    • pp.531-538
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    • 2005
  • This paper proposes an expert system which is able to enhance the accuracy and productivity by determining the test strategy based on heuristic rules for test of the hybrid electronic circuit board producted massively in production line. The test heuristic rules are obtained from test system designer, test experts and experimental results. The guarding method separating the tested device with circumference circuit of the device is adopted to enhance the accuracy of measurements in the test of analog devices. This guarding method can reduce the error occurring due to the voltage drop in both the signal input line and the measuring line by utilizing heuristic rules considering the device impedance and the parallel impedance. Also, PSA(Parallel Signature Analysis) technique Is applied for test of the digital devices and circuits. In the PSA technique, the real-time test of the high integrated device is possible by minimizing the test time forcing n bit output stream from the tested device to LFSR continuously. It is implemented in Visual C++ computer language for the purpose of the implementation of the inference engine using the dynamic memory allocation technique, the interface with the electronic circuit database and the hardware direct control. Finally, the effectiveness of the builded expert system is proved by simulating the several faults occurring in the mounting process the electronic devices to the surface of PCB for a typical hybrid electronic board and by identifying the results.