• Title/Summary/Keyword: Digital unit

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The vibration quality analysis for the vibration prevention of the building elevator (건축물(建築物) Elevator의 방진(防振)을 위한 진동특성(振動特性) 분석(分析))

  • Jeon, Euy-Sik;Cho, Byoung-Hoo
    • Journal of The Korean Digital Architecture Interior Association
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    • v.5 no.2
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    • pp.29-35
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    • 2005
  • The interest about noise and vibration which occurs in buildings is increasing by a living level elevation recently. Particularly, the vibration which occurs from the elevator cage of the building is possibility of damage to the users of the building continuously. So, the purpose of this study is a place where it examines closely the vibrating unit of the elevator and propose the countermeasure of it.

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Design of auto-tuning controller for Dynamic Systems using neural networks (신경회로망을 이용한 동적 시스템의 자기동조 제어기 설계)

  • Cho, Hyun-Seob;Oh, Myoung-Kwan
    • Proceedings of the KAIS Fall Conference
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    • 2007.05a
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    • pp.147-149
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    • 2007
  • "Dynamic Neural Unit"(DNU) based upon the topology of a reverberating circuit in a neuronal pool of the central nervous system. In this thesis, we present a genetic DNU-control scheme for unknown nonlinear systems. Our methodis different from those using supervised learning algorithms, such as the backpropagation (BP) algorithm, that needs training information in each step. The contributions of this thesis are the new approach to constructing neural network architecture and its trainin.

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A study of an environmental radiation monitoring system(ERMS) using digital single channel analyzer(SCA) and dose conversion unit(DCU) (디지털 SCA와 DCU를 이용한 환경방사선 감시기에 관한 연구)

  • 오길환;우희곤;이쾌희;하달규
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10b
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    • pp.1372-1375
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    • 1996
  • In this paper, we developed and ERMS, which monitors radiation continuously in the vicinity of the nuclear power plant not only to intend health and security of the adjacent residents but also to prevent environmental pollution. Especially, applying digital DCU and SCA which are easy to control and accurate, we obtained good results.

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A Hardware Allocation Algorithm for Data Path Synthesis (데이터 경로 합성을 위한 하드웨어 할당 알고리즘)

  • 김홍식;경종민
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.27 no.8
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    • pp.1303-1310
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    • 1990
  • This paper describes the design and implementation of a system for automatic data path synthesis in digital system. There are four subtasks to synthesize a digital system: scheduling, register allocation, functional unit allocation and bus allocation. In this paper, force directed algorithm is used for the scheduling while new algorithms are proposed for the allocation subtasks. Synthesis results of two experimental data paths including MC6502 have shown that our proposed algorithm out goes most of previous works.

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Design of FRACTAL Image Compression Decoder (FRACTAL 영상 압축 Decoder 설계)

  • 김용배;박형근;임순자;김용환
    • Proceedings of the IEEK Conference
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    • 1999.06a
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    • pp.623-626
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    • 1999
  • As the information society is advanced, the needs for mass information storage and retrieval grows. Digital image information is stored in retrieval systems, broadcasting in television transmission and exchanged over several kinds of telecommunication media. A major problem is that digital images are represented with large amount of data. The useful feature of image compression is that transmitting rapidly a lot of data in less time. Therefore we proposed a parallel Fractal trans-formation unit in Fractal Image compression system.

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A Study of Depth Estimate using GPGPU in Monocular Image (GPGPU를 이용한 단일 영상에서의 깊이 추정에 관한 연구)

  • Yoo, Tae Hoon;Lee, Gang Seong;Park, Young Soo;Lee, Jong Yong;Lee, Sang Hun
    • Journal of Digital Convergence
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    • v.11 no.12
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    • pp.345-352
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    • 2013
  • In this paper, a depth estimate method is proposed using GPU(Graphics Processing Unit) in monocular image. a monocular image is a 2D image with missing 3D depth information due to the camera projection and we used a monocular cue to recover the lost depth information by the projection present. The proposed algorithm uses an energy function which takes a variety of cues to create a more generalized and reliable depth map. But, a processing time is late because energy function is defined from the various monocular cues. Therefore, we propose a depth estimate method using GPGPU(General Purpose Graphics Processing Unit). The objective effectiveness of the algorithm is shown using PSNR(Peak Signal to Noise Ratio), a processing time is decrease by 61.22%.

Wireless Access Network Virtualization Based on Distributed Antenna Systems (분산 안테나 시스템에 기반한 무선 액세스망 가상화)

  • Kim, Su Min;Jung, Bang Chul
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.16 no.10
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    • pp.2085-2094
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    • 2012
  • In this paper, we propose a wireless access network virtualization algorithm based on a digital unit (DU)-radio unit (RU) separated network structure in a cellular network with multiple radio access technologies (RATs). The proposed wireless access network virtualization algorithm consists of a baseline access network virtualization, RAT virtualization, and access path migration algorithms. Final wireless access network virtualization is performed by sequentially performing these procedures. Through system-level simulations which assume 3GPP LTE and WiMAX systems, the performance of the proposed wireless access network virtualization is evaluated in terms of system throughput for two scenarios according to asymmetry of network traffic load. Numerical results show that our proposed wireless access network virtualization algorithm achieves significant system throughput gain even in asymmetric traffic load and user distribution situations.

A Study of How to Improve Execution Speed of Grabcut Using GPGPU (GPGPU를 이용한 Grabcut의 수행 속도 개선 방법에 관한 연구)

  • Kim, Ji-Hoon;Park, Young-Soo;Lee, Sang-Hun
    • Journal of Digital Convergence
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    • v.12 no.11
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    • pp.379-386
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    • 2014
  • In this paper, the processing speed of Grabcut algorithm in order to efficiently improve the GPU (Graphics Processing Unit) for processing the data from the method. Grabcut algorithm has excellent performance object detection algorithm. Grabcut existing algorithms to split the foreground area and the background area, and then background and foreground K-cluster is assigned a cluster. And assigned to gradually improve the results, until the process is repeated. But Drawback of Grabcut algorithm is the time consumption caused by the repetition of clustering. Thus GPGPU (General-Purpose computing on Graphics Processing Unit) using the repeated operations in parallel by processing Grabcut algorithm to effectively improve the processing speed of the method. We proposed method of execution time of the algorithm reduced the average of about 95.58%.

A Study on Convergence National Competency Standards(NCS) Development for Medical Record Specialist (의무기록사의 융복합적 직무능력표준 개발에 관한 연구)

  • Choi, Eun-Mi;Lee, Hyun-Ju;Kim, Oak-Nam;Choi, Youn-Hee
    • Journal of Digital Convergence
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    • v.13 no.7
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    • pp.229-238
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    • 2015
  • This research is aimed to develop a National competency standards(NCS) as a method of job standardization, and then to be applicated as a baseline data on overall university curriculum by using the NCS. Study period is from June 21, 2014 to November 30, 2014. To accomplish the aims, a pool of researchers and experts like as industrial site experts, education training experts, and job analysis specialists was formed. Job title to be conducted in medical record is defined as medical information management and NCS was developed through deducing 12 competency unit, 43 competency unit elementary and competency unit each career during lifelong. And finally the developed standards proposal was completed to be NCS after verification by on-the-spot specialists.

A Study on the Application Design for Wireless Communication Control and Development of Stepping-motor Microcontroller Unit capable of Wireless Communication Control (무선통신 제어 가능한 스테핑모터 마이크로컨트롤러유닛 개발과 무선통신 제어를 위한 어플리케이션 디자인에 관한 연구)

  • Kang, Hee-Ra
    • Journal of Digital Convergence
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    • v.17 no.12
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    • pp.503-508
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    • 2019
  • In recent years, among the IoT products that are used in various ways in everyday life, motorized products are increasing. This study aims to develop a microcontroller unit that can easily control multiple motors and develop an application that makes use of this microcontroller unit. The basis of the hardware developed by the research was the Arduino board, and to it, the Bluetooth module, Zigbee module, and a motor driver were connected. To control the device, an application was designed. The final microcontroller unit and its application may be applied to electric curtains, electric blinds, robots, and other various IoT products. Further research will lead to hardware development that can control various types of motors other than stepping motors.