• Title/Summary/Keyword: Peripheral Communication

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Design of High-Speed Sense Amplifier for In-Memory Computing (인 메모리 컴퓨팅을 위한 고속 감지 증폭기 설계)

  • Na-Hyun Kim;Jeong-Beom Kim
    • The Journal of the Korea institute of electronic communication sciences
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    • v.18 no.5
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    • pp.777-784
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    • 2023
  • A sense amplifier is an essential peripheral circuit for designing a memory and is used to sense a small differential input signal and amplify it into digital signal. In this paper, a high-speed sense amplifier applicable to in-memory computing circuits is proposed. The proposed circuit reduces sense delay time through transistor Mtail that provides an additional discharge path and improves the circuit performance of the sense amplifier by applying m-GDI (: modified Gate Diffusion Input). Compared with previous structure, the sense delay time was reduced by 16.82%, the PDP(: Power Delay Product) by 17.23%, the EDP(: Energy Delay Product) by 31.1%. The proposed circuit was implemented using TSMC's 65nm CMOS process, while its feasibility was verified through SPECTRE simulation in this study.

Control of Ubiquitous Environment using Sensors Module (센서모듈을 이용한 유비쿼터스 환경의 제어)

  • Jung, Tae-Min;Choi, Woo-Kyung;Kim, Seong-Joo;Jeon, Hong-Tae
    • Journal of the Korean Institute of Intelligent Systems
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    • v.17 no.2
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    • pp.190-195
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    • 2007
  • As Ubiquitous era comes, it became necessary to construct environment which can provide more useful information to human in the spaces where people live like homes or offices. On this account, network of the peripheral devices of Ubiquitous should constitute efficiently. For it, this paper researched human pattern by classified motion recognition using sensors module data. (This data processing by Neural network and fuzzy algorithm.) This pattern classification can help control home network system communication. I suggest the system which can control home network system more easily through patterned movement, and control Ubiquitous environment by grasp human's movement and condition.

Implementation of Fuzzy Self-Tuning PID and Feed-Forward Design for High-Performance Motion Control System

  • Thinh, Ngo Ha Quang;Kim, Won-Ho
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.14 no.2
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    • pp.136-144
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    • 2014
  • The existing conventional motion controller does not perform well in the presence of nonlinear properties, uncertain factors, and servo lag phenomena of industrial actuators. Hence, a feasible and effective fuzzy self-tuning proportional integral derivative (PID) and feed-forward control scheme is introduced to overcome these problems. In this design, a fuzzy tuner is used to tune the PID parameters resulting in the rejection of the disturbance, which achieves better performance. Then, both velocity and acceleration feed-forward units are added to considerably reduce the tracking error due to servo lag. To verify the capability and effectiveness of the proposed control scheme, the hardware configuration includes digital signal processing (DSP) which plays the main role, dual-port RAM (DPRAM) to guarantee rapid and reliable communication with the host, field-programmable gate array (FPGA) to handle the task of the address decoder and receive the feed-back encoder signal, and several peripheral logic circuits. The results from the experiments show that the proposed motion controller has a smooth profile, with high tracking precision and real-time performance, which are applicable in various manufacturing fields.

Instruction-Level Power Estimator for Sensor Networks

  • Joe, Hyun-Woo;Park, Jae-Bok;Lim, Chae-Deok;Woo, Duk-Kyun;Kim, Hyung-Shin
    • ETRI Journal
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    • v.30 no.1
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    • pp.47-58
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    • 2008
  • In sensor networks, analyzing power consumption before actual deployment is crucial for maximizing service lifetime. This paper proposes an instruction-level power estimator (IPEN) for sensor networks. IPEN is an accurate and fine grain power estimation tool, using an instruction-level simulator. It is independent of the operating system, so many different kinds of sensor node software can be simulated for estimation. We have developed the power model of a Micaz-compatible mote. The power consumption of the ATmega128L microcontroller is modeled with the base energy cost and the instruction overheads. The CC2420 communication component and other peripherals are modeled according to their operation states. The energy consumption estimation module profiles peripheral accesses and function calls while an application is running. IPEN has shown excellent power estimation accuracy, with less than 5% estimation error compared to real sensor network implementation. With IPEN's high precision instruction-level energy prediction, users can accurately estimate a sensor network's energy consumption and achieve fine-grained optimization of their software.

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The Design and Analysis of Scatternet Composition by The Number of Mobile Node in Radio Network Environment (무선 네트웍 환경에서 모발 노드수에 따른 스캐터넷 구성의 설계 및 분석)

  • Kim, Chang-Young;Jang, Jong-Wook
    • The Journal of Korean Association of Computer Education
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    • v.5 no.3
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    • pp.19-25
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    • 2002
  • Bluetooth, in radio network environment, is a small local radio communication that is available with low expense and little power use. It is specified for the wireless connect in a small area between Network Excess Point, portable devices such as mobile phones. PDAs and portable PCs, and other per peripheral equipment. Bluetooth is consisted of a master and a piconet having seven slaves in a maximum and finally has a scatternet gathering lot of piconet. The thesis tries to design the most effective structure of a scatternet by the number of nodes and the type of scatternet such as linear and ring for its mechanism. then the performance evaluation is realized through the Bluehoc simulator based on the NS. Finally the most appropriate radio network environment is made by the comparison and analysis of the characteristics of liner and ring scatternets.

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A Study on Self Repairing for Fast Fault Recovery in Digital System by Mimicking Cell

  • Kim, Soke-Hwan;Hur, Chang-Wu
    • Journal of information and communication convergence engineering
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    • v.9 no.5
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    • pp.615-618
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    • 2011
  • Living cells generate the cell cycle or apoptosis, depending on the course will be repeated. If an error occurs during this period of life in order to maintain the cells in the peripheral cells find the error portion. These cellular functions were applied to the system to simulate the circuit. Circuit implementation of the present study was constructed the redundant structure in order to found the error quickly. Self-repairing of digital systems as an advanced form of fault-tolerance has been increasingly receiving attention according as digital systems have been more and more complex and speed-up especially for urgent systems or those working on extreme environments such as deep sea and outer space. Simulating the process of cell differentiation algorithm was confirmed by the FPGA on the counter circuit. If an error occurs on the circuit where the error was quickly locate and repair. In this paper, we propose a novel self-repair architecture for fast and robust fault-recovery that can easily apply to real, complex digital systems. These Self-Repairing Algorithms make it possible for the application digital systems to be alive even though in very noisy and extreme environments.

The Effect of Systemic Hypertension on the Pediatric Brain (중추신경계에 미치는 소아 고혈압의 영향)

  • Hur, Yun-Jung
    • Childhood Kidney Diseases
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    • v.15 no.1
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    • pp.22-28
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    • 2011
  • Hypertension is one of the most common chronic diseases in childhood and adolescence. Untreated hypertension adversely affects many organs including heart, brain, kidney and peripheral arteries. We reviewed the complication of central nervous system caused by pediatric hypertension. Cerebral blood flows are maintained constantly in response to changes in blood pressure by cerebral autoregulation. Severe hypertension which destructs cerebral autoregulation results in acute hypertensive encephalopathy syndrome, ischemic or hemorrhagic stroke. Chronic pediatric hypertension induces learning disability and cognitive defect which are subclinical symptom prior to brain damage caused by severe hypertension. We should consider the effect of hypertension on pediatric brain because appropriate antihypertensive drugs could prevent these complications.

Networked Smart Plug System for Power Management of PC & Peripherals (PC와 주변기기의 전력 관리를 위한 네트워크 기반의 스마트 플러그 시스템)

  • Ryu, Dae-Hyun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.16 no.10
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    • pp.2171-2176
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    • 2012
  • PCs and its peripherals uses more power in standby mode even if they are not actually being used. In particular, PCs and its peripherals used in school and office, plugged in at all times during working hours, but not used much time, even if turned off consume a portion of the power. In this paper, we developed Networked Smart Plug for Power Management of PC & Peripherals which is consist of EMS, Smart Plug, PC Agent and Smart Phone App. for power saving of PC and a variety of peripheral devices in office or home, and evaluated the performance of the system.

Implementation of Spectrum-Sensing for Cognitive Radio Using USRP with GNU Radio and a Cloud Server

  • Thien, Huynh Thanh;Tendeng, Rene;Vu-Van, Hiep;Koo, Insoo
    • Journal of information and communication convergence engineering
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    • v.16 no.1
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    • pp.23-30
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    • 2018
  • In cognitive radio (CR), spectrum sensing is an essential function since secondary users (SUs) must determine whether the primary user (PU) is utilizing the channel or not, and furthermore, SUs opportunistically access the licensed channel when the PU is absent. In this paper, spectrum sensing is implemented by energy detection, and a software-defined radio testbed is built to evaluate sensing performance by energy detection in a real environment. In particular, the testbed was built based on the GNU's Not Unix (GNU) Radio software platform and Universal Software Radio Peripheral National Instruments 2900 devices. More specifically, a new block of energy detection is developed by using an out-of-tree module from GNU Radio. To successfully integrate CR into the cloud computing paradigm, we also implement cloud computing-based spectrum sensing by utilizing a cloud server with ThingSpeak, such that we can store, process, and share the sensing information more efficiently in a centralized way in the cloud server.

An implementation of the automatic labeling rolling-coil using robot vision system (로봇 시각 장치를 이용한 압연코일의 라벨링 자동화 구현)

  • Lee, Yong-Joong;Lee, Yang-Bum
    • Journal of Institute of Control, Robotics and Systems
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    • v.3 no.5
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    • pp.497-502
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    • 1997
  • In this study an automatic rolling-coil labeling system using robot vision system and peripheral mechanism is proposed and implemented, which instead of the manual labor to attach labels Rolling-coils in a steel mill. The binary image process for the image processing is performed with the threshold, and the contour line is converted to the binary gradient which detects the discontinuous variation of brightness of rolling-coils. The moments invariant algorithm proposed by Hu is used to make it easy to recognize even when the position of the center are different from the trained data. The position error compensation algorithm of six degrees of freedom industrial robot manipulator is also developed and the data of the position of the center rolling-coils, which is obtained by floor mount camera, are transferred by asynchronous communication method. Therefore, even if the position of center is changed, robot moves to the position of center and performs the labeling work successfully. Therefore, this system can be improved the safety and efficiency.

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