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An Acoustic Echo Canceller By Using the Reduced Lattice Filter Structure (축소격자필터 구조를 사용한 음향반향제거기)

  • 유재하;조성호;윤대희;차일환
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.32B no.11
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    • pp.1473-1480
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    • 1995
  • When the LMS algorithm is employed in the transversal filter structure, the computational complexity can be kept reasonably low. However, if the impulse response to be estimated is very long or signals involved are highly correlated like a speech the convergence speed becomes slow. The lattice filter is an excellent alternative to improve convergence speed since the lattice structure inherently has the orthogonal property among the backward prediction errors, but at the expense of the excessive computational load. If the input signal to be used can be sufficiently well modeled as a .RHO.-th order autoregressive(AR) process, the reflection coefficients after the .RHO.- th stage will be close to zero. Then, instead of employing the full lattice structure, the joint lattice filter structure can be implemented in conjunction with the transversal filter structure after the .RHO.-th stage. We propose, in this paper, this new lattice/transversal joint structure, and we will call it the reduced lattice filter. Using the reduced lattice filter, we are now able to achieve the performance as good as that of the lattice filter, while maintaining the complexity as low as that of the transversal filter. The proposed filter is particularly useful for an acoustic echo canceller due to the highly correlatedness nature of speeches and the long and frequently changing echo paths.

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Effect of Application Service Quality Attributes on Perceived Value and Post-Purchase Behavior Intentions (식품 관련 앱(APP) 서비스 품질 속성이 서비스 이용자의 지각된 가치와 구매 후 행동의도에 미치는 영향)

  • Kim, Semi;Park, Sanghyun;Joo, Nami
    • Journal of the Korean Dietetic Association
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    • v.26 no.3
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    • pp.208-220
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    • 2020
  • In modern society, the online to offline (O2O) market has become an emerging market. Based on social and cultural phenomena, the importance of "FOODTECH" linked with mobile applications is growing in the food and restaurant industry. This study examined subjective food application service quality, perceived value, and post-purchase behavior intentions. According to this study, of foodtech service quality attributes, only information, mobility, and reliability had positive (+) relationships with perceived value. However, foodtech service quality attributes did not have a direct impact on behavior intentions. Perceived values had a positive (+) relationship with behavior intentions and showed full mediation effects between foodtech service quality attributes and behavior intentions. Based on these results, future research on the relationship among food application service quality, perceived value, and post-purchase behavior intentions is needed.

Bit-level Array Structure Representation of Weight and Optimization Method to Design Pre-Trained Neural Network (학습된 신경망 설계를 위한 가중치의 비트-레벨 어레이 구조 표현과 최적화 방법)

  • Lim, Guk-Chan;Kwak, Woo-Young;Lee, Hyun-Soo
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.39 no.9
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    • pp.37-44
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    • 2002
  • This paper proposes efficient digital hardware design method by using fixed weight of pre-trained neural network. For this, arithmetic operations of PEs(Processing Elements) are represented with matrix-vector multiplication. The relationship of fixed weight and input data present bit-level array structure architecture which is consisted operation node. To minimize the operation node, this paper proposes node elimination method and setting common node depend on bit pattern of weight. The result of FPGA simulation shows the efficiency on hardware cost and operation speed with full precision. And proposed design method makes possibility that many PEs are implemented to on-chip.

A Study on Efficient Test Data Compression Method for Test-per-clock Scan (Test-per-clock 스캔 방식을 위한 효율적인 테스트 데이터 압축 기법에 관한 연구)

  • Park, Jae-Heung;Yang, Sun-Woong;Chang, Hoon
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.39 no.9
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    • pp.45-54
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    • 2002
  • This paper proposes serial test data compression, a novel DFT scheme for embedded cores in SOC. To reduce test data amounts, share bit compression and fault undetectable fault pattern compression techniques was used. A Circuits using serial test data compression method are derived from a scan DFT method including a test-per-clock technique. For an experiment of the proposed compression method, full scan versions of ISCASS85 and ISCASS89 were used. ATALANTA has been used for ATPG and fault simulation. The amount of test data has been reduced by maximum 98% comparing with original data.

A CMOS Complex Filter with a New Automatic Tuning Method for PHS Application (PHS용 Automatic Tuning 방법을 이용한 Complex Filter)

  • Ko, Dong-Hyun;Park, Do-Jin;Jung, Sung-Kyu;Pu, Young-Gun;Lee, Kang-Yoon
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.44 no.10
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    • pp.17-22
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    • 2007
  • This paper presents a baseband complex bandpass filter for PHS applications with a new automatic tuning method. The full-CMOS PHS transceiver is implemented by adopting the Low-IF architecture to overcome the DCoffset problems. To meet the Adjacent Channel Selectivity (ACS) performance, the 3rd-order Chebyshev complex bandpass filter is designed as the baseband channel-select filter. The new corner frequency tuning method is proposed to compensate the process variation. This method can reduce the noise level due to MOS switches. The filter was fabricated using a 0.35{\mu}m$ CMOS process, and the power consumption is 12mW.

Real-time Full-view 3D Human Reconstruction using Multiple RGB-D Cameras

  • Yoon, Bumsik;Choi, Kunwoo;Ra, Moonsu;Kim, Whoi-Yul
    • IEIE Transactions on Smart Processing and Computing
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    • v.4 no.4
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    • pp.224-230
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    • 2015
  • This manuscript presents a real-time solution for 3D human body reconstruction with multiple RGB-D cameras. The proposed system uses four consumer RGB/Depth (RGB-D) cameras, each located at approximately $90^{\circ}$ from the next camera around a freely moving human body. A single mesh is constructed from the captured point clouds by iteratively removing the estimated overlapping regions from the boundary. A cell-based mesh construction algorithm is developed, recovering the 3D shape from various conditions, considering the direction of the camera and the mesh boundary. The proposed algorithm also allows problematic holes and/or occluded regions to be recovered from another view. Finally, calibrated RGB data is merged with the constructed mesh so it can be viewed from an arbitrary direction. The proposed algorithm is implemented with general-purpose computation on graphics processing unit (GPGPU) for real-time processing owing to its suitability for parallel processing.

Cody Recommendation System Using Deep Learning and User Preferences

  • Kwak, Naejoung;Kim, Doyun;kim, Minho;kim, Jongseo;Myung, Sangha;Yoon, Youngbin;Choi, Jihye
    • International Journal of Advanced Culture Technology
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    • v.7 no.4
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    • pp.321-326
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    • 2019
  • As AI technology is recently introduced into various fields, it is being applied to the fashion field. This paper proposes a system for recommending cody clothes suitable for a user's selected clothes. The proposed system consists of user app, cody recommendation module, and server interworking of each module and managing database data. Cody recommendation system classifies clothing images into 80 categories composed of feature combinations, selects multiple representative reference images for each category, and selects 3 full body cordy images for each representative reference image. Cody images of the representative reference image were determined by analyzing the user's preference using Google survey app. The proposed algorithm classifies categories the clothing image selected by the user into a category, recognizes the most similar image among the classification category reference images, and transmits the linked cody images to the user's app. The proposed system uses the ResNet-50 model to categorize the input image and measures similarity using ORB and HOG features to select a reference image in the category. We test the proposed algorithm in the Android app, and the result shows that the recommended system runs well.

CEREC 3D System을 이용한 당일수복 (one-day treatment) 임상증례

  • Jeong, Hyo-Gyeong
    • Journal of the Korean Academy of Esthetic Dentistry
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    • v.17 no.1
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    • pp.23-30
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    • 2008
  • Application of CAD/CAM is changing the way partial or full veneer all ceramic restoration is made. CAD/CAM systems, which were used mainly in other industries, have been developed and introduced for the dental purposes recently. It produced a flood of information on the CAD/CAM systems. It also influenced the development of restorative materials and all ceramic is substituting the traditional restorative materials of gold, composite resin and metal. Price increase of gold and other raw materials made the all ceramic more appealing. The introduction of a CEREC 3D system was innovative in several ways. Image of the prepared tooth is captured by camera and impression taking is unnecessary. Restoration can be delivered to the patient on one appointment and it will satisfy the demand of busy patients. One-day treatment with direct CAD/CAM system saves time compared to indirect CAD/CAM system. More superior restoration can be produced if lab work such as the adaptability check and shade selection is cooperated with lab technician. Short working time and comparably superior shade compatibility of color block was close to ideal. In the future, restorations with better quality can be fabricated in less time to busy patients thanks to the development of CAD/CAM system and dental materials.

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INTEGRITY ANALYSIS OF AN UPPER GUIDE STRUCTURE FLANGE

  • LEE, KI-HYOUNG;KANG, SUNG-SIK;JHUNG, MYUNG JO
    • Nuclear Engineering and Technology
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    • v.47 no.6
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    • pp.766-775
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    • 2015
  • The integrity assessment of reactor vessel internals should be conducted in the design process to secure the safety of nuclear power plants. Various loads such as self-weight, seismic load, flow-induced load, and preload are applied to the internals. Therefore, the American Society of Mechanical Engineers (ASME) Code, Section III, defines the stress limit for reactor vessel internals. The present study focused on structural response analyses of the upper guide structure upper flange. The distributions of the stress intensity in the flange body were analyzed under various design load cases during normal operation. The allowable stress intensities along the expected sections of stress concentration were derived from the results of the finite element analysis for evaluating the structural integrity of the flange design. Furthermore, seismic analyses of the upper flange were performed to identify dynamic behavior with respect to the seismic and impact input. The mode superposition and full transient methods were used to perform time-history analyses, and the displacement at the lower end of the flange was obtained. The effect of the damping ratio on the response of the flange was also evaluated, and the acceleration was obtained. The results of elastic and seismic analyses in this study will be used as basic information to judge whether a flange design meets the acceptance criteria.

Two-Stage Base Station Sleeping Scheme for Green Cellular Networks

  • Yang, Juwo;Zhang, Xing;Wang, Wenbo
    • Journal of Communications and Networks
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    • v.18 no.4
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    • pp.600-609
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    • 2016
  • In this paper, we propose a two-stage base station (BS) sleeping scheme to save energy consumption in cellular networks. The BS sleeping mode is divided into a light sleeping stage and a deep sleeping stage according to whether there is a user in the BS's coverage. In the light sleeping stage, a BS will retain its coverage and frequently switch between the on state and the doze state according to the service characteristics. While in the deep sleeping stage analysis, the BS will shut down its coverage, and neighbor BSs will patch the coverage hole. Several closed-form formulas are derived to demonstrate the power consumption in each sleeping stage and the stage switching conditions are discussed to minimize the average power consumption. The average traffic delay caused by BS sleeping and the average deep sleeping rate under a given traffic load have also been studied. In addition, it is shown that BS sleeping is not always possible because of the limited quality of service (QoS) requirements. Simulation results show that the proposed scheme can effectively reduce the average BS power consumption, at the cost of some extra traffic delay. In summary, our proposed framework provides an essential understanding of the design of future green networks that aim to take full advantage of different stages of BS sleeping to obtain the best energy efficiency.