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新时期宏观报告文学的心理、文化透视
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作者 王倩 《工会论坛(山东省工会管理干部学院学报)》 2003年第4期115-116,共2页
在宏观报告文学的文体结构背后有其特定的心理结构与文化内涵。宏观报告文学作家普遍具有自觉的使命意识和很强的参与意识。大变革时代读者的审美期待也为报告文学的崛起提供了契机 ,同时告诉我们 :报告文学的审美品格应是“参入性”
关键词 创作心态 审美心理 参入性 宏观报告文学
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高职高专开放式教学工作初探
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作者 姜明 《中国校外教育(上旬)》 2013年第3期142-142,146,共2页
开放式娱乐性教学就是将被动体育变化主动体育,发挥教师的主导作用和学生的主体作用,促使学生自觉、主动地进行体育学习,培养学生的学习兴趣,引导他们充分理解和参入学习课程,主动体验体育运动中的乐趣,通过合理的自我体育实践,养成自... 开放式娱乐性教学就是将被动体育变化主动体育,发挥教师的主导作用和学生的主体作用,促使学生自觉、主动地进行体育学习,培养学生的学习兴趣,引导他们充分理解和参入学习课程,主动体验体育运动中的乐趣,通过合理的自我体育实践,养成自住的体育兴趣、习惯和能力,具有健康的心理以及个性的形成和发展,培养学生终身体育为目标。 展开更多
关键词 娱乐 参入性 主动体育 角色加工
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NON-UNIFORM LINEAR ARRAY CONFIGURATION FOR MIMO RADAR
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作者 彭珍妮 贲德 +1 位作者 张弓 顾海光 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI 2011年第2期152-156,共5页
Array configuration of multiple-input multiple-output (MIMO) radar with non-uniform linear array (NLA) is proposed. Unlike a standard phased-array radar where NLA is used to generate thinner beam patterns, in MIMO... Array configuration of multiple-input multiple-output (MIMO) radar with non-uniform linear array (NLA) is proposed. Unlike a standard phased-array radar where NLA is used to generate thinner beam patterns, in MIMO radar the property of NLA is exploited to get more distinct virtual array elements so as to improve pa- rameter identifiability, which means the maximum number of targets that can be uniquely identified by the radar. A class of NLA called minimum redundancy linear array (MRLA) is employed and a new method to construct large MRLAs is descrihed. The numerical results verify that compared to uniform linear array (ULA) MIMO radars, NLA MIMO radars can retain the same parameter identifiability with fewer physical antennas and achieve larger aperture length and lower Cramer-Rao bound with the same number of the physical antennas. 展开更多
关键词 MIMO radar parameter identifiability non-uniform linear array virtual array element array con-figuration
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Artificial neural network modeling of gold dissolution in cyanide media 被引量:3
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作者 S.Khoshjavan M.Mazloumi B.Rezai 《Journal of Central South University》 SCIE EI CAS 2011年第6期1976-1984,共9页
The effects of cyanidation conditions on gold dissolution were studied by artificial neural network (ANN) modeling. Eighty-five datasets were used to estimate the gold dissolution. Six input parameters, time, solid ... The effects of cyanidation conditions on gold dissolution were studied by artificial neural network (ANN) modeling. Eighty-five datasets were used to estimate the gold dissolution. Six input parameters, time, solid percentage, P50 of particle, NaCN content in cyanide media, temperature of solution and pH value were used. For selecting the best model, the outputs of models were compared with measured data. A fourth-layer ANN is found to be optimum with architecture of twenty, fifteen, ten and five neurons in the first, second, third and fourth hidden layers, respectively, and one neuron in output layer. The results of artificial neural network show that the square correlation coefficients (R2) of training, testing and validating data achieve 0.999 1, 0.996 4 and 0.9981, respectively. Sensitivity analysis shows that the highest and lowest effects on the gold dissolution rise from time and pH, respectively It is verified that the predicted values of ANN coincide well with the experimental results. 展开更多
关键词 artificial neural network GOLD CYANIDATION modeling sensitivity analysis
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Artificial Chiral Nanostructure at Oblique Incidence
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作者 Mohamed Boutria Rachid Oussaid +1 位作者 Daniel Van Labeke Fadi Issam Baida 《Journal of Electrical Engineering》 2017年第1期20-26,共7页
We propose in this paper the design of artificial nanostructure chirality obtained by oblique illumination. This structure is based on anisotropic metamaterial having an optical activity induced by the special geometr... We propose in this paper the design of artificial nanostructure chirality obtained by oblique illumination. This structure is based on anisotropic metamaterial having an optical activity induced by the special geometry of the pattern and the incident beam. Starting from a non-chiral material, the artificial chirality is obtained thanks to the rectangular apertures which form the periodic perfect metal nanostructure (one layer) and the oblique incidence of the light beam. An extraordinary light transmission (93%) through the metal nanostructure is achieved by exciting the cavity modes. The extrinsic chirality obtained can be granted to the desired value by appropriately adjusting the geometric parameters and the angle of incidence. 展开更多
关键词 NANOSTRUCTURE optical activity extrinsic chirality metamaterial.
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Data Reconstruction in Internet Traffic Matrix 被引量:1
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作者 ZHOU Huibin ZHANG Dafang XIE Kun WANG Xiaoyang 《China Communications》 SCIE CSCD 2014年第7期1-12,共12页
Traffic matrix is an abstract representation of the traffic volume flowing between sets of source and destination pairs.It is a key input parameter of network operations management,planning,provisioning and traffic en... Traffic matrix is an abstract representation of the traffic volume flowing between sets of source and destination pairs.It is a key input parameter of network operations management,planning,provisioning and traffic engineering.Traffic matrix is also important in the context of OpenFlow-based networks.Because even good measurement systems can suffer from errors and data collection systems can fail,missing values are common.Existing matrix completion methods do not consider traffic exhibit characteristics and only provide a finite precision.To address this problem,this paper proposes a novel approach based on compressive sensing and traffic self-similarity to reconstruct the missing traffic flow data.Firstly,we analyze the realworld traffic matrix,which all exhibit lowrank structure,temporal smoothness feature and spatial self-similarity.Then,we propose Self-Similarity and Temporal Compressive Sensing(SSTCS) algorithm to reconstruct the missing traffic data.The extensive experiments with the real-world traffic matrix show that our proposed SSTCS can significantly reduce data reconstruction errors and achieve satisfactory accuracy comparing with the existing solutions.Typically SSTCS can successfully reconstruct the traffic matrix with less than 32%errors when as much as98%of the data is missing. 展开更多
关键词 network measurement trafficmatrix compressive sensing matrixcompletion SELF-SIMILARITY
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Sensitivity Analysis of Key Input Parameters in Microscopic Simulation of Congested and Uncongested Arterial Signals
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作者 Saravanan Gurupackiam Ping Wang Steven L. Jones 《Journal of Civil Engineering and Architecture》 2012年第6期651-664,共14页
This study involved investigating the sensitivity of Measures of Effectiveness (MOEs) to different simulation initialization time (7, 10, and 13 minutes); observing the trend of variation of MOEs with increasing s... This study involved investigating the sensitivity of Measures of Effectiveness (MOEs) to different simulation initialization time (7, 10, and 13 minutes); observing the trend of variation of MOEs with increasing simulation runs; and identifying the major contributors of variation in MOEs using CORSIM and SimTraffic. The results showed that (1) the MOEs of a simulated intersection approaches were indeed sensitive to initialization times; (2) the variation within MOEs reached a steady state with increased number of simulation runs, while CORSIM required at least 50 simulation runs, SimTraffic required even higher number of runs for congested approaches; (3) lane changing and gap acceptance parameters play a major role as a source of variation of MOEs (delay/vehicle) in CORSIM and SimTraffic respectively. 展开更多
关键词 Microscopic traffic simulation REPETITIONS initialization time MOE congestion.
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Effect of Injection Parameters on Evaporation and Thermolysis Characteristics of UWS (Urea-Water-Solution) in SCR (Selective Catalytic Reduction) Systems
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作者 Sadashiva Prabhu S Nagaraj Shivappa Nayak Kapilan Natesan 《Journal of Energy and Power Engineering》 2015年第2期222-231,共10页
UWS (optimized Urea-Water Solution) injection system is required to increase the NH3 conversion efficiency of urea-based SCR (Selective Catalytic Reduction) system of modem automobiles. The focus of the current st... UWS (optimized Urea-Water Solution) injection system is required to increase the NH3 conversion efficiency of urea-based SCR (Selective Catalytic Reduction) system of modem automobiles. The focus of the current study is to do parametric studies by simulation in a three-dimensional model using CFD (Computational Fluid Dynamics) code AVL FIRE. Simulations were carried out to study the characteristics of evaporation and thermolysis UWS considering the effect of injection velocity, duration of injection, injection angle and for different types of injection. In the case of the injection velocities up to 20-50 m/sec, the ammonia concentration continues to increase. It is found that as the duration injection decreases, the concentration of ammonia increases. In case of continuous injection, the flow rate is less which results in lower velocity of injection, lesser atomization and slower evaporation resulting lesser conversion of UWS into NH3. Shorter duration of injection leads better atomization with increased velocity of injection which results in faster evaporation and thermolysis. 展开更多
关键词 EVAPORATION THERMOLYSIS SCR UWS injection parameters.
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Real-Time Distributed Fiber Optic Sensor for Security Systems: Performance, Event Classification and Nuisance Mitigation 被引量:36
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作者 Seedahmed S. MAHMOUD Yuvaraja VISAGATHILAGAR Jim KATSIFOLIS 《Photonic Sensors》 SCIE EI CAS 2012年第3期225-236,共12页
The success of any perimeter intrusion detection system depends on three important performance parameters: the probability of detection (POD), the nuisance alarm rate (NAR), and the false alarm rate (FAR). The ... The success of any perimeter intrusion detection system depends on three important performance parameters: the probability of detection (POD), the nuisance alarm rate (NAR), and the false alarm rate (FAR). The most fundamental parameter, POD, is normally related to a number of factors such as the event of interest, the sensitivity of the sensor, the installation quality of the system, and the reliability of the sensing equipment. The suppression of nuisance alarms without degrading sensitivity in fiber optic intrusion detection systems is key to maintaining acceptable performance. Signal processing algorithms that maintain the POD and eliminate nuisance alarms are crucial for achieving this. In this paper, a robust event classification system using supervised neural networks together with a level crossings (LCs) based feature extraction algorithm is presented for the detection and recognition of intrusion and non-intrusion events in a fence-based fiber-optic intrusion detection system. A level crossings algorithm is also used with a dynamic threshold to suppress torrential rain-induced nuisance alarms in a fence system. Results show that rain-induced nuisance alarms can be suppressed for rainfall rates in excess of 100mm/hr with the simultaneous detection of intrusion events. The use of a level crossing based detection and novel classification algorithm is also presented for a buried pipeline fiber optic intrusion detection system for the suppression of nuisance events and discrimination of intrusion events. The sensor employed for both types of systems is a distributed bidirectional fiber-optic Mach-Zehnder (MZ) interferometer. 展开更多
关键词 Adaptive level crossings fiber optic sensor intrusion detection nuisance alarm
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Optimization of Performance and Emission Characteristics of PPCCI Engine fuelled with Ethanol and Diesel blends Using Grey-Taguchi Method 被引量:4
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作者 S.Natarajan K.Pitchandi N.V.Mahalakshmi 《Journal of Thermal Science》 SCIE EI CAS CSCD 2018年第1期89-94,共6页
The performance and emission characteristics of a PPCCI engine fuelled with ethanol and diesel blends were car- ded out on a single cylinder air cooled CI engine. In order to achieve the optimal process response with ... The performance and emission characteristics of a PPCCI engine fuelled with ethanol and diesel blends were car- ded out on a single cylinder air cooled CI engine. In order to achieve the optimal process response with a limited number of experimental cycles, multi objective grey relational analysis had been applied for solving a multiple response optimization problem. Using grey relational grade and signal-to-noise ratio as a performance index, a combination of input parameters was prefigured so as to achieve optimum response characteristics. It was observed that 20% premixed ratio of blend was most suitable for use in a PPCCI engine without significantly affecting the engine performance and emissions characteristics. 展开更多
关键词 PPCCI BIODIESEL OPTIMIZATION Grey-Taguchi method
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