• Title/Summary/Keyword: Electronic Hardware

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Design of Efficient FEC for Bluetooth Baseband (블루투스 베이스밴드의 효율적인 FEC 설계)

  • Moon, San-Gook
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2008.10a
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    • pp.681-684
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    • 2008
  • Bluetooth baseband performs FEC (forward error check) at the interface of transmitter and receiver modem. Well-designed FEC means directly the efficiency of retransmission of the data payload therefore design optimization is very important. In this paper, we designed a optimal 1/3, 2/3 type of FEC. 1/3 FEC. which performs 3 times customary repetition was designed for packet header, and 2/3 FEC was designed for data packets with (15, 10) reduced hamming code. The proposed hardware FEC block was described and verified using Verilog HDL and later to be automatically synthesized. The synthesized FEC block operated at 40Mhz normal clock speed of the target baseband microcontroller.

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New Single-Phase Power Converter Topology for Frequency Changing of AC Voltage

  • Jou, Hurng-Liahng;Wu, Jinn-Chang;Wu, Kuen-Der;Huang, Ting-Feng;Wei, Szu-Hsiang
    • Journal of Power Electronics
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    • v.18 no.3
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    • pp.694-701
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    • 2018
  • This paper proposes a new single-phase power converter topology for changing the frequency of AC voltage. The proposed single-phase frequency converter (SFC) includes a T-type multi-level power converter (TMPC), a frequency decoupling transformer (FDT) and a digital signal processor (DSP). The TMPC can convert a 60 Hz AC voltage to a DC voltage and then convert the DC voltage to a 50 Hz AC voltage. Therefore, the output currents of the two T-type power switch arms have 50 Hz and 60 Hz components. The FDT is used to decouple the 50 Hz and 60 Hz components. The salient feature of the proposed SFC is that only one power electronic converter stage is used since the functions of the AC-DC and DC-AC power conversions are integrated into the TMPC. Therefore, the proposed SFC can simplify both the power circuit and the control circuit. In order to verify the functions of the proposed SFC, a hardware prototype is established. Experimental results verify that the performance of the proposed SFC is as expected.

Analysis of Diagnosis and Failsafe Algorithm Using Transmission Simulator (변속기 시뮬레이터를 이용한 진단 및 안전작동 알고리즘 분석)

  • Jung, Gyuhong
    • Transactions of the Korean Society of Automotive Engineers
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    • v.22 no.4
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    • pp.89-97
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    • 2014
  • As the digital control technologies in automotive industry have advanced, electronic control units(ECUs) play a key-role to improve system performance. Transmission control unit(TCU) is a shifting controller for automatic transmission of which major functions are to determine the shift and manage the shifting process considering the various sensor signal on transmission and driver's commands. As with any ECU in vehicle, TCU performs complex algorithms such as shift control, diagnostic and failsafe functions. However, firmware design analysis is hardly possible by the reverse engineering due to code protection. Transmission simulator is a hardware-in-the-loop simulator which enables TCU to work in normal mode by simulating the electrical signal of TCU interface. In this research, diagnosis and failsafe algorithm implemented on commercialized TCU is analyzed by using the transmission simulator that is developed for wheel loader construction vehicle. This paper gives various experimental results on the proportional solenoid current trajectories for different operating modes, error detection criterion and limphome mode gears for all the possible cases of clutch malfunction. The derived results for conventional TCU can be applied to the development of inherent TCU algorithms and the transmission simulator can also be utilized for the test of TCU to be developed.

Weighted Adaptive Opportunistic Scheduling Framework for Smartphone Sensor Data Collection in IoT

  • M, Thejaswini;Choi, Bong Jun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.12
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    • pp.5805-5825
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    • 2019
  • Smartphones are important platforms because of their sophisticated computation, communication, and sensing capabilities, which enable a variety of applications in the Internet of Things (IoT) systems. Moreover, advancements in hardware have enabled sensors on smartphones such as environmental and chemical sensors that make sensor data collection readily accessible for a wide range of applications. However, dynamic, opportunistic, and heterogeneous mobility patterns of smartphone users that vary throughout the day, which greatly affects the efficacy of sensor data collection. Therefore, it is necessary to consider phone users mobility patterns to design data collection schedules that can reduce the loss of sensor data. In this paper, we propose a mobility-based weighted adaptive opportunistic scheduling framework that can adaptively adjust to the dynamic, opportunistic, and heterogeneous mobility patterns of smartphone users and provide prioritized scheduling based on various application scenarios, such as velocity, region of interest, and sensor type. The performance of the proposed framework is compared with other scheduling frameworks in various heterogeneous smartphone user mobility scenarios. Simulation results show that the proposed scheduling improves the transmission rate by 8 percent and can also improve the collection of higher-priority sensor data compared with other scheduling approaches.

Estimation and Implementation of the Uroflowmetry Using Load Cell (로드셀을 이용한 요류검사기의 구현 및 평가)

  • Jeong, Do-Un;Cho, Seong-Taek;Nam, Ki-Gon;Chung, Moon-Kee;Jeon, Gye-Rok
    • Journal of Sensor Science and Technology
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    • v.13 no.6
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    • pp.436-445
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    • 2004
  • In this study, a uroflowmetry system was developed to detect a voiding symptom conveniently at home or hospital. A implemented hardware was composed of mechanism and system circuit part, the software was developed to process uroflow data, graph display, extraction of parameter, and evaluation of congregate rate so as to analysis obtaining uroflow data. The following experiment was performed to evaluate an ability of classification and fitness. The curve pattern of uroflow was classified into each symptom. Various parameters were calculated in the curve pattern of each uroflow as follows. The parameters are MFR, AFR, VOL, VT, and FT. A significant difference among parameters was examined by a statistical analysis for extracted parameters between normal and abnormal experimental group. The uroflow data with the various symptom was divided into normal and abnormal group using fuzzy classifier. The result of the fuzzy classification using MFR and AFR was superior by 91.23 % than grouping evaluation including VOL.

Field Programmable Gate Array Reliability Analysis Using the Dynamic Flowgraph Methodology

  • McNelles, Phillip;Lu, Lixuan
    • Nuclear Engineering and Technology
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    • v.48 no.5
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    • pp.1192-1205
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    • 2016
  • Field programmable gate array (FPGA)-based systems are thought to be a practical option to replace certain obsolete instrumentation and control systems in nuclear power plants. An FPGA is a type of integrated circuit, which is programmed after being manufactured. FPGAs have some advantages over other electronic technologies, such as analog circuits, microprocessors, and Programmable Logic Controllers (PLCs), for nuclear instrumentation and control, and safety system applications. However, safety-related issues for FPGA-based systems remain to be verified. Owing to this, modeling FPGA-based systems for safety assessment has now become an important point of research. One potential methodology is the dynamic flowgraph methodology (DFM). It has been used for modeling software/hardware interactions in modern control systems. In this paper, FPGA logic was analyzed using DFM. Four aspects of FPGAs are investigated: the "IEEE 1164 standard," registers (D flip-flops), configurable logic blocks, and an FPGA-based signal compensator. The ModelSim simulations confirmed that DFM was able to accurately model those four FPGA properties, proving that DFM has the potential to be used in the modeling of FPGA-based systems. Furthermore, advantages of DFM over traditional reliability analysis methods and FPGA simulators are presented, along with a discussion of potential issues with using DFM for FPGA-based system modeling.

A Study on the Design of Inaudible Acoustic Signal in Acoustic Communications and Positioning System (음향 통신 및 위치측정 시스템에서의 비가청 음향 신호 설계에 관한 연구)

  • Oh, Jongtaek
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.17 no.2
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    • pp.191-197
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    • 2017
  • According to the ubiquitous usage of smartphone, so many smartphone applications have been developed, and especially data communications and position measurement technologies without additional equipments have been developed using acoustic signal. But there is a limitation to select the frequency of the acoustic signal due to the smartphone hardware, and there is non-linearity in the electronic circuits in a sound generation devices, the audible sound generated from the speaker is not avoidable. And it causes critical difficulty to the commercial system deployment. In this paper, a simulation technique to calculate the power of the audible acoustic signal by human is applied to several types of acoustic signals to evaluate the loudness. These could be referred when the acoustic communications or positioning systems are designed, for the purposed of inaudible sounding to human.

A Study on Power Dissipation of Embedded Microprocessors (임베디드 마이크로 프로세서의 전력 소비에 대한 연구)

  • Lee, Jongbok
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.18 no.4
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    • pp.169-175
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    • 2018
  • Recently, power dissipation issue is very significant not only in high-end modern processors but also in embedded systems and mobile devices. Based on the power dissipation, hardware and software designers can correctly find the power/performance tradeoffs. Most power analysis tools calculate power dissipation when chip layout or floor planning are finished. In this paper, a trace-driven simulator that can interact with power analysis tool for an embedded microprocessor has been developed. Using MiBench embedded benchmarks as input, the trace-driven simulation has been performed to estimate the average power dissipation which is faster than the conventional tools.

Design of Infrastructure to Analyze Big Data (빅데이터 분석을 위한 인프라 설계)

  • Park, Sungbum;Lee, Sangwon;Ahn, Hyunsup;Jung, In-Hwan
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2013.10a
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    • pp.202-204
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    • 2013
  • Nowadays, owing to the development of hardware, most of enterprises should operate and manage bigger amount of data than they used to do in the past. For this reason, the enterprises ceaselessly and urgently need systemized tools, platforms, and analysis methodologies in order to collect, store, and handle explosively increasing data. In this paper, we firstly understand key elements of Big Data, and secondly define critical factors for Big Data application with these elements. Thirdly, we research on various analysis techniques for Big Data analysis. Lastly, we propose an infrastructure to analyze bid data.

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DFIG Wind Power System with a DDPWM Controlled Matrix Converter

  • Lee, Ji-Heon;Jeong, Jong-Kyou;Han, Byung-Moon;Choi, Nam-Sup;Cha, Han-Ju
    • Journal of Electrical Engineering and Technology
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    • v.5 no.2
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    • pp.299-306
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    • 2010
  • This paper proposes a new doubly-fed induction generator (DFIG) system using a matrix converter controlled by direct duty ratio pulse-width modulation (DDPWM) scheme. DDPWM is a recently proposed carrier based modulation strategy for matrix converters which employs a triangular carrier and voltage references in a voltage source inverter. By using DDPWM, the matrix converter can directly and effectively generate rotor voltages following the voltage references within the closed control loop. The operation of the proposed DFIG system was verified through computer simulation and experimental works with a hardware simulator of a wind power turbine, which was built using a motor-generator set with vector drive. The simulation and experimental results confirm that a matrix converter with a DDPWM modulation scheme can be effectively applied for a DFIG wind power system.