• 제목/요약/키워드: Technology-Engineering

검색결과 92,523건 처리시간 0.085초

전기적특성과 환경인자를 고려한 태양광모듈의 열화진단 알고리즘 개발 (Development of Aging Diagnosis Algorithm for Photovoltaic Modules by Considering Electric Characteristics and Environment Factors)

  • 이계호;최성식;김병기;정종윤;김찬혁;노대석
    • 전기학회논문지
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    • 제64권10호
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    • pp.1411-1417
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    • 2015
  • The installation of PV system to the power distribution system is being increased as one of solutions for environmental pollution and energy crisis. However, the efficiency of PV system is getting decreased because of the aging phenomenon and several operation obstacles. Therefore, The technology development of aging diagnosis of PV modules are required in order to improve operation performance of PV modules. This paper proposes evaluation algorithm for aging state in PV modules by using the electrical characteristics of PV modules and environmental factors. And also, this paper presents a operation evaluation system of PV modules based on the proposed aging diagnosis algorithm of PV modules. From the simulation results of proposed evaluation system, it is confirmed that the proposed algorithm is a useful tool for aging diagnosis of PV systems.

Deep Learning-Based Modulation Detection for NOMA Systems

  • Xie, Wenwu;Xiao, Jian;Yang, Jinxia;Wang, Ji;Peng, Xin;Yu, Chao;Zhu, Peng
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제15권2호
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    • pp.658-672
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    • 2021
  • Since the signal with strong power need be demodulated first for successive interference cancellation (SIC) receiver in non-orthogonal multiple access (NOMA) systems, the base station (BS) need inform the near user terminal (UT), which has allocated higher power, of the far UT's modulation mode. To avoid unnecessary signaling overhead of control channel, a blind detection algorithm of NOMA signal modulation mode is designed in this paper. Taking the joint constellation density diagrams of NOMA signal as the detection features, the deep residual network is built for classification, so as to detect the modulation mode of NOMA signal. In view of the fact that the joint constellation diagrams are easily polluted by high intensity noise and lose their real distribution pattern, the wavelet denoising method is adopted to improve the quality of constellations. The simulation results represent that the proposed algorithm can achieve satisfactory detection accuracy in NOMA systems. In addition, the factors affecting the recognition performance are also verified and analyzed.

MFMAP: Learning to Maximize MAP with Matrix Factorization for Implicit Feedback in Recommender System

  • Zhao, Jianli;Fu, Zhengbin;Sun, Qiuxia;Fang, Sheng;Wu, Wenmin;Zhang, Yang;Wang, Wei
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권5호
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    • pp.2381-2399
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    • 2019
  • Traditional recommendation algorithms on Collaborative Filtering (CF) mainly focus on the rating prediction with explicit ratings, and cannot be applied to the top-N recommendation with implicit feedbacks. To tackle this problem, we propose a new collaborative filtering approach namely Maximize MAP with Matrix Factorization (MFMAP). In addition, in order to solve the problem of non-smoothing loss function in learning to rank (LTR) algorithm based on pairwise, we also propose a smooth MAP measure which can be easily implemented by standard optimization approaches. We perform experiments on three different datasets, and the experimental results show that the performance of MFMAP is significantly better than other recommendation approaches.

Transient safety analysis of M2LFR-1000 reactor using ATHLET

  • Shen, Chong;Zhang, Xilin;Wang, Chi;Cao, Liankai;Chen, Hongli
    • Nuclear Engineering and Technology
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    • 제51권1호
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    • pp.116-124
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    • 2019
  • $M^2LFR-1000$ is a medium-power modular lead-cooled fast reactor, developed by University of Science and Technology of China (USTC), aiming at achieving a reactor design fulfilling the Gen IV nuclear system requirements and meanwhile emphasizing the optimum safety and economics. In order to evaluate the safety performance of $M^2LFR-1000$ reactor core, three typical transients are selected from initiating events, which are unprotected transient overpower (UTOP), unprotected loss of offsite power (ULOHS+ULOF) and increase of feedwater flowrate with primary pumps trip (IFW+PLOF). These three transients presented and discussed in this paper are performed with the code Analysis of THermal-hydraulics of LEaks and Transients (ATHLET), which is developed by Gesellschaft $f{\ddot{u}}r$ Anlagen-und Reaktorsicherheit gGmbH (GRS). The results indicate that the $M^2LFR$ is safe enough under these three transients due to the good inherent safety features of the reactor, without human intervention, the reactor will reach a new steady state under UTOP condition.

Online Monitoring of Ship Block Construction Equipment Based on the Internet of Things and Public Cloud: Take the Intelligent Tire Frame as an Example

  • Cai, Qiuyan;Jing, Xuwen;Chen, Yu;Liu, Jinfeng;Kang, Chao;Li, Bingqiang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제15권11호
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    • pp.3970-3990
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    • 2021
  • In view of the problems of insufficient data collection and processing capability of multi-source heterogeneous equipment, and low visibility of equipment status at the ship block construction site. A data collection method for ship block construction equipment based on wireless sensor network (WSN) technology and a data processing method based on edge computing were proposed. Based on the Browser/Server (B/S) architecture and the OneNET platform, an online monitoring system for ship block construction equipment was designed and developed, which realized the visual online monitoring and management of the ship block construction equipment status. Not only that, the feasibility and reliability of the monitoring system were verified by using the intelligent tire frame system as the application object. The research of this project can lay the foundation for the ship block construction equipment management and the ship block intelligent construction, and ultimately improve the quality and efficiency of ship block construction.

The Synergistic Effect of 2-Chloromethylbenzimidazole and Potassium Iodide on the Corrosion behavior of Mild Steel in Hydrochloric Acid Solution

  • Zhou, Liben;Cheng, Weizhong;Wang, Deng;Li, Zhaolei;Zhou, Haijun;Guo, Weijie
    • Journal of Electrochemical Science and Technology
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    • 제13권1호
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    • pp.138-147
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    • 2022
  • The synergistic effect of 2-chloromethylbenzimidazole (2-CBI) and potassium iodide (KI) for mild steel in 1 M hydrochloric acid solution was investigated by potentiodynamic polarization curves and electrochemical impedance spectroscopy (EIS). The results showed that, with the addition of 100 ppm potassium iodide, the inhibition efficiecy (IE) of 100 ppm 2-CBI in 1 M hydrochloric acid had been improved from 91.14% to 96.15%. And synergistic parameter of 100 ppm 2-CBI with different amounts of potassium iodide is always greater than 1. The adsorption of potassium iodide combining with 100 ppm 2-CBI obeys to the Langmuir adsorption isotherm. Thermodynamic adsorption parameters, including ∆G0ads, ∆Ha and ∆Sa of the adsorption of the combinned inhibitor, as well as the Ea of the mild steel corrosion in 1 M HCl with the combinned inhibitor, were calculated.

얼굴 인식기를 통한 커스텀 데이터의 효율적 수집 (Collecting valid facial image dataset using face recognition)

  • 최희조;김상준;이유진;박경무;김청화;박구만
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송∙미디어공학회 2020년도 하계학술대회
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    • pp.255-256
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    • 2020
  • 인물에 대한 얼굴 이미지 데이터를 수집할 때 유효하지 않은 데이터를 수작업으로 걸러내는 것은 많은 시간과 인력의 투자를 필요로 한다. 얼굴 데이터 셋을 생성할 때 FaceNet을 거쳐 불필요한 정보들을 미리 걸러내고, 사람이 직접 얼굴 데이터의 유효성을 체크하는 수고를 덜어 얼굴 데이터 셋 생성에 있어서의 번거로움을 줄이고자한다. 본 논문에서는 FaceNet을 통해서 얼굴 이미지 데이터에 대한 데이터 수집 시, 더욱 좋은 성능으로 정제된 데이터 셋을 생성하고자 하였다.

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Study on Graphene Thin Films Grown on Single Crystal Sapphire Substrates Without a Catalytic Metal Using Pulsed Laser Deposition

  • Na, Byoung Jin;Kim, Tae Hwa;Lee, Cheon;Lee, Seok-Hyun
    • Transactions on Electrical and Electronic Materials
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    • 제16권2호
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    • pp.70-73
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    • 2015
  • Many studies have used chemical vapor deposition (CVD) to grow graphene. However, CVD is inefficient in terms of production costs, and inefficient for mass production because a transfer process using a catalytic metal is needed. In this study, graphene thin films were grown on single crystal sapphire substrates without a catalytic metal, using pulsed laser deposition (PLD) to resolve these problems. In addition, the growth of graphene using PLD was confirmed to have a close relationship with the substrate temperature.

Analysis of Knit Fabric Structure with its Voxel Data

  • Shinohara, T.;Takayama, J.;Ohyama, S.;Kobayashi, A.
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2003년도 ICCAS
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    • pp.53-56
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    • 2003
  • For identifying how a sample knit fabric is woven a method to obtain positional information of each yarn of the sample from voxel data made out of its x-ray CT images is newly proposed in this paper. The positional information is obtained by tracing the each yarn. The each yarn is traced by estimating a direction of the yarn in a certain small region in which the yarn can be regarded as straight and moving the region slightly along the estimated direction alternately. The yarn direction is estimated by correlating the voxel data in the region with a three-dimensional yarn model. The effectiveness of this method is confirmed by applying the method to voxel data made out of CT images of a knit fabric experimentally.

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Analysis of Auto CAD Plot file for the Carving Machine

  • Boonsung, Nareerat;Smerpitak, Krit;Pongswatd, Sawai;Ukakimapurn, Prapart
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2003년도 ICCAS
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    • pp.256-259
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    • 2003
  • This paper presents the analyses of Auto CAD plot file for carving machine. The plot file is first analyzed and then sorted to properly perform a sequence of the line segments. The experimental results show that this technique can improve the carving performance, reduce the operating time, and save the tool and machine’s lifetime. In addition, this proposed technique can also be extended to apply for other coordinate machines.

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