• Title/Summary/Keyword: network-on-chip

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A Study on Worker Risk Reduction Methods using the Deep Learning Image Processing Technique in the Turning Process (선삭공정에서 딥러닝 영상처리 기법을 이용한 작업자 위험 감소 방안 연구)

  • Bae, Yong Hwan;Lee, Young Tae;Kim, Ho-Chan
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.20 no.12
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    • pp.1-7
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    • 2021
  • The deep learning image processing technique was used to prevent accidents in lathe work caused by worker negligence. During lathe operation, when the chuck is rotated, it is very dangerous if the operator's hand is near the chuck. However, if the chuck is stopped during operation, it is not dangerous for the operator's hand to be in close proximity to the chuck for workpiece measurement, chip removal or tool change. We used YOLO (You Only Look Once), a deep learning image processing program for object detection and classification. Lathe work images such as hand, chuck rotation and chuck stop are used for learning, object detection and classification. As a result of the experiment, object detection and class classification were performed with a success probability of over 80% at a confidence score 0.5. Thus, we conclude that the artificial intelligence deep learning image processing technique can be effective in preventing incidents resulting from worker negligence in future manufacturing systems.

The Realization on GAS Sensor Module for Inteligent Wireless Communication (지능형 무선통신용 가스 센서 모듈 구현)

  • Kim, Hyo-Chan;Weon, Young-Su;Cho, Hyung-Rae
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.11 no.6
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    • pp.123-132
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    • 2012
  • Gas sensors has been used very differently that depending on following purposes; Automotive (exhaust gas, fuel mixture gas, oxygen, particulates), agriculture / food industry (fresh, stored, CO2, humidity, NH3, nitrogen oxide gas, organic gas, toxic gas emitted from pesticides and insecticides), industrial / medical (chemical gas, hydrogen, oxygen and toxic gases), military (chemical weapon), environmental measurements (CO and other air pollution consisting of sulfur and nitrogen gas), residential (LNG, LPG, butane, indoor air, humidity). The types of industrial toxic substances are known about 700 species and many of these exist in gaseous form under normal conditions. he multi-gas detection sensors will be developed for casualties that detect the most important and find easy three kinds of gases in marine plant; carbon dioxide(CO2), carbon(CO), ammonia(NH3). Package block consists of gas sensing device minor ingredient, rf front end, zigbee chip. Develope interworking technology between the sensor and zigbee chip inside a package. Conduct a performance test through test jig about prototype zigbee sensor module with rf output power and unwanted emission test. This research task available early address when poisonous gas leaked from large industrial site and contribution for workers' safety at the enclosed space.

A study on Intention Pulse Forming Network Generation of Pulse Nd:YAG Laser adopting Multi -Alienation Discharge (다중분할 방전방식을 적용한 펄스형 Nd:YAG 레이저의 임의 펄스성형 연구)

  • Whi-Young Kim
    • Journal of the Korea Computer Industry Society
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    • v.2 no.7
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    • pp.975-982
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    • 2001
  • In this study, a solid-state laser system adopting a new real time multi-discharge (RTMD) method in which three flashlamps are turned on consecutively was designed and fabricated to examine the pulse width and the pulse shape of the laser beams depending upon the changes in the lamp rum-on time. That is, this study shows a technology that makes it possible to make various pulse shapes by turning on three flashlamps consecutively on a real-time basis with the aid of a PIC one-chip microprocessor. With this technique, the lamp turn-on delay time can be varied more diversely from 0 to 10 ms and the real-time control is possible with an external keyboard, enabling various pulse shapes. In addition, longer pulses can be more widely used for industrial processing and lots of medical purposes

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A Study on Receiver Sensitivity Measurement using Pilot $E_c/I_o$ Compensation Method at CDMA Communication Network (CDMA 기지국에서 Pilot $E_c/I_o$ 보상기법을 이용한 수신감도 측정에 관한 연구)

  • Jeong, Ki-Hyeok;Ra, Keuk-Hwan
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.44 no.8
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    • pp.9-16
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    • 2007
  • Currently, the measurement of RF parameters for a base station in operation is typically limited to easily measured forward path items. In this paper, the forward monitoring ports of base stations are used to measure the reverse RF performance. The system has been implemented and effectiveness has been proven on an operating base station. The receiver sensitivity is measured using an internal CDMA modem which is used to monitor the output power based on closed loop power control when the modem is connected to the base station via a voice call. In order to improve accuracy, in addition to the modem Tx adjust(TxAdj) parameter, the detector's actual measurement is used. For accurate receiver sensitivity, the measurement should be made when there is no traffic which is not possible on an operating base station. Therefore, pilot channel chip energy to received signal power spectral density ratio$(E_c/I_o)$ compensation method is used to offset the receiver sensitivity degradation with voice traffic increase.

Development of a Simulator for RBF-Based Networks on Neuromorphic Chips (뉴로모픽 칩에서 운영되는 RBF 기반 네트워크 학습을 위한 시뮬레이터 개발)

  • Lee, Yeowool;Seo, Keyongeun;Choi, Daewoong;Ko, Jaejin;Lee, Sangyub;Lee, Jaekyu;Cho, Heyonjoong
    • KIPS Transactions on Computer and Communication Systems
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    • v.8 no.11
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    • pp.251-262
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    • 2019
  • In this paper, we propose a simulator that provides various algorithms of RBF networks on neuromorphic chips. To develop algorithms based on neuromorphic chips, the disadvantages of using simulators are that it is difficult to test various types of algorithms, although time is fast. This proposed simulator can simulate four times more types of network architecture than existing simulators, and it provides an additional a two-layer structure algorithm in particular, unlike RBF networks provided by existing simulators. This two-layer architecture algorithm is configured to be utilized for multiple input data and compared to the existing RBF for performance analysis and validation of utilization. The analysis showed that the two-layer structure algorithm was more accurate than the existing RBF networks.

Transcriptome Profiling of Kidney Tissue from FGS/kist Mice, the Korean Animal Model of Focal Segmental Glomerulosclerosis (국소성 분절성 사구체 신병증의 동물 모델 (FGS/kist 생쥐) 신 조직의 유전자 발현 양상)

  • Kang, Hee-Gyung;Lee, Byong-Sop;Lee, Chul-Ho;Ha, Il-Soo;Cheong, Hae-Il;Choi, Yong
    • Childhood Kidney Diseases
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    • v.15 no.1
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    • pp.38-48
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    • 2011
  • Purpose: Focal segmental glomerulosclerosis (FSGS) is the most common glomerulopathy causing pediatric renal failure. Since specific treatment targeting the etiology and pathophysiology of primary FSGS is yet elusive, the authors explored the pathophysiology of FSGS by transcriptome analysis of the disease using an animal model. Methods: FGS/kist strain, a mouse model of primary FSGS, and RFM/kist strain, as control and the parent strain of FGS/kist, were used. Kidney tissues were harvested and isolated renal cortex was used to extract mRNA, which was run on AB 1700 mouse microarray chip after reverse transcription to get the transcriptome profile. Results: Sixty two genes were differentially expressed in FGS/kist kidney tissue compared to the control. Those genes were related to cell cycle/cell death, immune reaction, and lipid metabolism/vasculopathy, and the key molecules of their networks were TNF, IL-6/4, IFN${\gamma}$, TP53, and PPAR${\gamma}$. Conclusion: This study confirmed that renal cell death, immune system activation with subsequent fibrosis, and lipid metabolism-related early vasculopathy were involved in the pathophysiology of FSGS. In addition, the relevance of methodology used in this study, namely transcriptome profiling, and Korean animal model of FGS/kist was validated. Further study would reveal novel pathophysiology of FSGS for new therapeutic targets.

Design and Implementation of an InfiniBand System Interconnect for High-Performance Cluster Systems (고성능 클러스터 시스템을 위한 인피니밴드 시스템 연결망의 설계 및 구현)

  • Mo, Sang-Man;Park, Kyung;Kim, Sung-Nam;Kim, Myung-Jun;Im, Ki-Wook
    • The KIPS Transactions:PartA
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    • v.10A no.4
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    • pp.389-396
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    • 2003
  • InfiniBand technology is being accepted as the future system interconnect to serve as the high-end enterprise fabric for cluster computing. This paper presents the design and implementation of the InfiniBand system interconnect, focusing on an InfiniBand host channel adapter (HCA) based on dual ARM9 processor cores The HCA is an SoC tailed KinCA which connects a host node onto the InfiniBand network both in hardware and in software. Since the ARM9 processor core does not provide necessary features for multiprocessor configuration, novel inter-processor communication and interrupt mechanisms between the two processors were designed and embedded within the KinCA chip. Kinch was fabricated as a 564-pin enhanced BGA (Bail Grid Array) device using 0.18${\mu}{\textrm}{m}$ CMOS technology Mounted on host nodes, it provides 10 Gbps outbound and inbound channels for transmit and receive, respectively, resulting in a high-performance cluster system.

Cascade CNN with CPU-FPGA Architecture for Real-time Face Detection (실시간 얼굴 검출을 위한 Cascade CNN의 CPU-FPGA 구조 연구)

  • Nam, Kwang-Min;Jeong, Yong-Jin
    • Journal of IKEEE
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    • v.21 no.4
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    • pp.388-396
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    • 2017
  • Since there are many variables such as various poses, illuminations and occlusions in a face detection problem, a high performance detection system is required. Although CNN is excellent in image classification, CNN operatioin requires high-performance hardware resources. But low cost low power environments are essential for small and mobile systems. So in this paper, the CPU-FPGA integrated system is designed based on 3-stage cascade CNN architecture using small size FPGA. Adaptive Region of Interest (ROI) is applied to reduce the number of CNN operations using face information of the previous frame. We use a Field Programmable Gate Array(FPGA) to accelerate the CNN computations. The accelerator reads multiple featuremap at once on the FPGA and performs a Multiply-Accumulate (MAC) operation in parallel for convolution operation. The system is implemented on Altera Cyclone V FPGA in which ARM Cortex A-9 and on-chip SRAM are embedded. The system runs at 30FPS with HD resolution input images. The CPU-FPGA integrated system showed 8.5 times of the power efficiency compared to systems using CPU only.

Mesochronous Clock Based Synchronizer Design for NoC (위상차 클럭 기반 NoC 용 동기회로 설계)

  • Kim, Kang-Chul;Chong, Jiang
    • The Journal of the Korea institute of electronic communication sciences
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    • v.10 no.10
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    • pp.1123-1130
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    • 2015
  • Network on a chip(NoC) is a communication subsystem between intellectual property(IP) cores in a SoC and improves high performance in the scalability and the power efficiency compared with conventional buses and crossbar switches. NoC needs a synchronizer to overcome the metastability problem between data links. This paper presents a new mesochronous synchronizer(MS) which is composed of selection window generator, selection signal generator, and data buffer. A delay line circuit is used to build selection window in selection window generator based on the delayed clock cycle of transmitted clock and the transmitted clock is compared with local clock to generate a selection signal in the SW(selection window). This MS gets rid of the restriction of metastability by choosing a rising edge or a falling edge of local clock according to the value of selection signal. The simulation results show that the proposed MS operates correctly for all phase differences between a transmitted clock and a local clock.

A Study of Interference-Free Home PLC based on the Binary ZCD Code (연속직교 상관특성을 갖는 아진 코드 기반의 구내용 PLC에 관한 연구)

  • Cha, Jae-Sang;Kim, Seong-Kweon
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.20 no.2
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    • pp.38-44
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    • 2006
  • In this paper, a new interference-free Home CDMA-PLC(Code Division Multiple Access-Power Line Communication) system based on the binary ZCD(Zero Correlation Duration) spreading code is proposed as a key solution to overcome the previous problems. Binary ZCD spreading code sets with enlarged family sizes are generated by carrying out a chip-shift operation of the preferred pairs. The properties or the proposed ZCD-PLC systems are effective for MPI(Multi-Path Interference) and MAI (Multiple Access Interference) cancellation in the CDMA-PLC systems. By BER performance simulation, we certified the availability of proposed ZCD-CDMA-PLC system.