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A Smart Closet Using Deep Learning and Image Recognition for the Blind (시각장애인을 위한 딥러닝과 이미지인식을 이용한 스마트 옷장)

  • Choi, So-Hee;Kim, Ju-Ha;Oh, Jae-Dong;Kong, Ki-Sok
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.20 no.6
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    • pp.51-58
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    • 2020
  • The blind people have difficulty living an independent clothing life. The furniture and home appliance are adding AI or IoT with the recent growth of the smart appliance market. To support the independent clothing life of the blind, this paper suggests a smart wardrobe with closet control function, voice recognition function and clothes information recognition using CNN algorithm. The number of layers of the model was changed and Maxpooling was adjusted to create the model to increase accuracy in the process of recognizing clothes. Early Stopping Callback option is applied to ensure learning accuracy when creating a model. We added Dropout to prevent overfitting. The final model created by this process can be found to have 80 percent accuracy in clothing recognition.

Design and Implementation of Mobile Continuous Blood Pressure Measurement System Based on 1-D Convolutional Neural Networks (1차원 합성곱 신경망에 기반한 모바일 연속 혈압 측정 시스템의 설계 및 구현)

  • Kim, Seong-Woo;Shin, Seung-Cheol
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.10
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    • pp.1469-1476
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    • 2022
  • Recently, many researches have been conducted to estimate blood pressure using ECG(Electrocardiogram) and PPG(Photoplentysmography) signals. In this paper, we designed and implemented a mobile system to monitor blood pressure in real time by using 1-D convolutional neural networks. The proposed model consists of deep 11 layers which can learn to extract various features of ECG and PPG signals. The simulation results show that the more the number of convolutional kernels the learned neural network has, the more detailed characteristics of ECG and PPG signals resulted in better performance with reduced mean square error compared to linear regression model. With receiving measurement signals from wearable ECG and PPG sensor devices attached to the body, the developed system receives measurement data transmitted through Bluetooth communication from the devices, estimates systolic and diastolic blood pressure values using a learned model and displays its graph in real time.

Character Extraction from Color Map Image Using Interactive Clustering (대화식 클러스터링 기법을 이용한 칼라 지도의 문자 영역 추출에 관한 연구)

  • Ahn, Chang;Park, Chan-Jung;Rhee, Sang-Burm
    • The Transactions of the Korea Information Processing Society
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    • v.4 no.1
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    • pp.270-279
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    • 1997
  • The conversion of printed maps into computerized databases is an enormous task. Thus the automation of the conversion process is essential. Efficient computer representation of printed maps and line drawings depends on codes assigned to characters, symbols, and vector representation of the graphics. In many cases, maps are constructed in a number of layers, where each layer is printed in a distinct color, and it represents a subset of the map information. In order to properly represent the character layer from color map images, an interactive clustering and character extraction technique is proposed. Character is usually separated from graphics by extracting and classifying connected components in the image. But this procedure fails, when characters touch or overlap lines-something that occurs often in land register maps. By vectorizing line segments, the touched characters and numbers are extracted. The algorithm proposed in this paper is intended to contribute towards the solution of the color image clustering and touched character problem.

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Conceptual Design of PLS-II Control System for PLS (가속기 제어시스템의 성능향상을 위한 연구)

  • Yoon, J.C.;Lee, J.W.;Lee, E.H.;Ha, H.G.;Kim, J.M.;Park, S.J.;Kim, K.R.
    • Proceedings of the KIEE Conference
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    • 2009.07a
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    • pp.1658_1659
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    • 2009
  • PLS(Pohang Light Source) will begin the PLS-II project that has been funded by the KOREA Government in order to further upgrade the PLS which has operated since 1992. The control system of the PLS-II has distributed control architecture, with two layers of hierarchy; operator interface computer (OIC) layer and machine interface computer (MIC) layer. The OIC layer is based on SUN workstation with UNIX. A number of PC-based consoles allow to remotely operating the machine from the control room. PC-based consoles use the Linux or Windows operation system. Similar consoles in the experimental hall are used to control experiments. The MIC layer is directly interfaced to individual machine devices for low-level data acquisition and control. MIC layer is based on VMEbus standard with vxWorks real-time operating system. Executable application software modules are downloaded from host computers at the system start-up time. The MIC's and host computers are linked through Ethernet network. It should enable the use of hardware and software already developed for specific light source requirements. The core of the EPICS (Experimental Physics and Industrial Control System)[1] has been chosen as the basis for the control system software.

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Optimal Design of Underwater SAW Devices (수중 SAW Device의 최적 설계법)

  • Roh, Yong-Rae
    • The Journal of the Acoustical Society of Korea
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    • v.9 no.4
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    • pp.18-32
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    • 1990
  • Deeping on purpose, SAW device may have to function while immersed in a liquid. Those who are familiar with SAW devices would anticipate difficulty since the propagating surface waves will tend to radiate energy into the liquid and hence suffer attenuation. Thus, to design an immerable SAW device, more attention and full information about the wave properites is required to overcome the attenuation and get the highest SAW generation eficiency. Though numerical simulation, the optimal geometry of underwater SAW devices, such as optimal piezoelectric crystal cut, SAW propagation direction and nondimensional wave number(ka) is determined to get the maximum SAW excitation efficiency, the minimum attenuation in propagation and pure mode propagation for all the modes of surface wave propagation. The design technique can be appliedto an arbitrary combination of a piezoelectric layer, a substrate and a liquid medium. In this paper, PZT and PVDF layers and a steel substrate are use for the solid medium. The technique can be easily employed for the design of underwater sensors and actuators for the applications, such as sonar marine antifouling, industrial and medical uses.

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The Vegetation Structure of Fraxinus mandshurica Community in Mt. Minjuji, Youngdong-gun, Chungcheongbuk-do (충청북도 영동군 민주지산지역 들메나무군집 식생구조)

  • 최송현;송근준;이경재
    • Korean Journal of Environment and Ecology
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    • v.11 no.2
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    • pp.166-176
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    • 1997
  • To investigate the vegetation structure of Fraxinus mandshurica communith, twenty plots were set up and surveyed in the valley of Mt. Minjuji area that rises 700~1,100m above the sea level. Each plot has 100m$^{2}$ in size. By using the TWINSPAN of classification technique, total plots was divided into six communities. In the species composition analysis, it was expected that F. mandshurica community would derive from Quercus mongolica community. The F. mondshurica community was composed together of Carpinus laxiflora, Acer mono and Cornus controversa. It was turned out that F. mandshurica community was edaphic climax because the competition species not appeared. In the DBH distribution analysis, F. mandshurica appeared through all layers, and species diversity showed lower index(Shannon's index 0.72~0.82) because the community was stable. The number of mean individuals and species was about 111.5 and 11.0 per 100m$^{2}$ respectively.

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Velocity profile measurement of supersonic boundary layer over a flat plate using the PIV technique (PIV 기법을 이용한 초음속 평판 경계층의 속도 분포 측정)

  • Lee, Hyuk;Kim, Young Ju;Byun, Yung Hwan;Park, Soo Hyung
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.44 no.6
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    • pp.477-483
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    • 2016
  • Velocity profiles of laminar, transition and turbulent boundary layers were investigated by using Particle Image Velocimetry(PIV) measurements on the flat plate at Mach 2.96. The Schlieren visualization and PIV measurements are also used to confirm whether the oblique shock wave generated from the leading edge affects the flow field over the flat plate. The laminar velocity profile measured from the experiment was well matched with the compressible Blasius solution. The velocity profile of the transition boundary layer was well correlated with the theoretical turbulent velocity profile from near the wall and the transition began from Re = $1.41{\times}106$. For the turbulent boundary layer, considering compressibility effects, the Van Driest-transformed velocity satisfies the incompressible log-law. It is found that the log region is extended farther in the wall-normal direction compared to the log region in incompressible boundary layer.

Photon Extraction Efficiency in InGaN Light-emitting Diodes Depending on Chip Structures and Chip-mount Schemes (InGaN LED에서 칩 구조 및 칩마운트 구조에 따른 광추출효율에 관한 연구)

  • Lee, Song-Jae
    • Korean Journal of Optics and Photonics
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    • v.16 no.3
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    • pp.275-286
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    • 2005
  • The performance of the InGaN LED's in terms of the photon extraction efficiency has been analyzed by the Monte Carlo photon simulation method. Simulation results show that the sidewall slanting scheme, which works well for the AlInGaP or InGaN/SiC LED, plays a very minimal role in InGaN/sapphire LED's. In contrast to InGaN/SiC LED's, the lower refractive index sapphire substrate restricts the generated photons to enter the substrate, minimizing the chances for the photons to be deflected by the slanted sidewalls of the epitaxial semiconductor layers that are usually very thin. The limited photon transmission to the sapphire substrate also degrades the. photon extraction efficiency especially in the epitaxial-side down mount. One approach to exploit the photon extraction potential of the epitaxial-side down mount may be to texture the substrate-epitaxy interface. In this case, randomized photon deflection off the textured interface directly increases the number of the photons entering the sapphire substrate, from which they easily couple out of the chip and thereby improving the photon extraction efficiency drastically.

A Study on the Economic Analysis of Box Mechanical Behavior Materials Using LCC Techniques (LCC를 고려한 BOX구조물 뒷채움 재료의 경제성 분석에 관한 연구)

  • Lee, Sang-Hee;Kim, Soo-Yong;Park, Young-Min
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • 2008.11a
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    • pp.855-858
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    • 2008
  • The lightweight bubble mixture soil are lightweight soft ground rear, which is used with the material filling. However, comparing with the general soil, it is not valuably useful from domestic. The utilization of the general soil which initial public corporation holds mainly few. The overlay method of general soil decreasing the number of layers increases according to use research study. From the research which consequently, BOX mechanical behavior materials rear executed LCC analyses the general soil which is a material filling and lightweight bubble mixture soil, discussed two kind alternatives and presents the analysis will be able to support the decision-making which is rational from the economics. The expense, which results from the resultant of lightweight bubble mixture soil maintenance, was fewer and was then analyzed with the fact that, will be able to secure an economical efficiency within 6 years.

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Implementation of FPGA-based Accelerator for GRU Inference with Structured Compression (구조적 압축을 통한 FPGA 기반 GRU 추론 가속기 설계)

  • Chae, Byeong-Cheol
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.6
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    • pp.850-858
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    • 2022
  • To deploy Gate Recurrent Units (GRU) on resource-constrained embedded devices, this paper presents a reconfigurable FPGA-based GRU accelerator that enables structured compression. Firstly, a dense GRU model is significantly reduced in size by hybrid quantization and structured top-k pruning. Secondly, the energy consumption on external memory access is greatly reduced by the proposed reuse computing pattern. Finally, the accelerator can handle a structured sparse model that benefits from the algorithm-hardware co-design workflows. Moreover, inference tasks can be flexibly performed using all functional dimensions, sequence length, and number of layers. Implemented on the Intel DE1-SoC FPGA, the proposed accelerator achieves 45.01 GOPs in a structured sparse GRU network without batching. Compared to the implementation of CPU and GPU, low-cost FPGA accelerator achieves 57 and 30x improvements in latency, 300 and 23.44x improvements in energy efficiency, respectively. Thus, the proposed accelerator is utilized as an early study of real-time embedded applications, demonstrating the potential for further development in the future.