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Impact of thermal time shift on wheat phenology and yield under warming climate in the Huang-Huai-Hai Plain, China 被引量:2
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作者 Dengpan XIAO Yongqing QI +3 位作者 Zhiqiang LI Rende WANG Juana P. MOIWO Fengshan LIU 《Frontiers of Earth Science》 SCIE CAS CSCD 2017年第1期148-155,共8页
Given climate change can potentially influence crop phenology and subsequent yield, an investigation of relevant adaptation measures could increase the understanding and mitigation of these responses in the future. In... Given climate change can potentially influence crop phenology and subsequent yield, an investigation of relevant adaptation measures could increase the understanding and mitigation of these responses in the future. In this study, field observations at 10 stations in the Huang- Huai-Hai Plain of China (HHHP) are used in combination with the Agricultural Production Systems Simulator (APSIM)-Wheat model to determine the effect of thermal time shift on the phenology and potential yield of wheat from 1981-2009. Warming climate speeds up winter wheat development and thereby decreases the duration of the wheat growth period. However, APSIM-Wheat model simulation suggests prolongation of the period from flowering to maturity (Gr) of winter wheat by 0.2-0.8 d·10yr^-1 as the number of days by which maturity advances, which is less than that by which flowering advances. Based on computed thermal time of the two critical growth phases of wheat, total thermal time from floral initiation to flowering (TT_floral_initiation) increasesd in seven out of the 10 investigated stations. Altematively, total thermal time from the start of grainfilling to maturity (TT_start grain_fill) increased in all investigated stations, except Laiyang. It is thus concluded that thermal time shift during the past three decades (1981- 2009) prolongs Gr by 0.2-3.0 d·10yr^-1 in the study area. This suggests that an increase in thermal time (TT) of the wheat growth period is critical for mitigating the effect of growth period reduction due to warming climatic condition. Furthermore, climate change reduces potential yield of winter wheat in 80% of the stations by 2.3-58.8 kg·yr^-1. However, thermal time shift (TTS) increases potential yield of winter wheat in most of the stations by 3.0-51.0 Received September 16, 2015; accepted January 24, 2016 kg·yr^-1. It is concluded that wheat cultivars with longer growth periods and higher thermal requirements could mitigate the negative effects of warming climate on crop production in the study area. 展开更多
关键词 adaptation thermal time shift crop phenology winter wheat warming climate
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Underwater Acoustic Communication Based on Pattern Time Delay Shift Coding Scheme 被引量:9
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作者 殷敬伟 惠俊英 +2 位作者 惠娟 姚直象 王逸林 《China Ocean Engineering》 SCIE EI 2006年第3期499-508,共10页
Underwater acoustic communication based on Pattern Tune Delay Shift Coding (PDS) communication scheme is studied. The time delay shift values of the pattern are used to encode the digital information in the PDS sche... Underwater acoustic communication based on Pattern Tune Delay Shift Coding (PDS) communication scheme is studied. The time delay shift values of the pattern are used to encode the digital information in the PDS scheme, which belongs to the Pulse Position Modulation (PPM). The duty cycle of the PDS scheme is small, so it can economize the power for communication. By use of different patterns for code division and different frequencies for channel division, the communication system is capable of mitigating the inter-symbol interference (ISI) caused by the muhipath channel. The data rate of communication is 1000 bits/s at 8 kHz bandwidth. The receiver separates the channels by means of bandpass filters, and performs decoding by 4 copy-correlators to estimate the time delay shift value. Based on the theoretical analysis and numerical simulations, the PDS scheme is shown to be a robust and effective approach for underwater acoustic communication. 展开更多
关键词 underwater acoustic UWA conmumwation pattern time delay shift coding (PDS) estimation of time delay shift nudtipath channel inter-symbol inteoCerence (ISI)
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Study on pattern time delay shift coding scheme 被引量:1
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作者 YIN Jing-wei HUI Jun-ying +1 位作者 WANG Yi-lin YAO Zhi-xiang 《Journal of Marine Science and Application》 2006年第3期51-56,共6页
Pattern Time Delay Shift Coding (PDS) scheme is robust for underwater acoustic communication. The digital information are encoded in the time delay shift values of the Pattern, so the PDS scheme belongs to the Pulse P... Pattern Time Delay Shift Coding (PDS) scheme is robust for underwater acoustic communication. The digital information are encoded in the time delay shift values of the Pattern, so the PDS scheme belongs to the Pulse Position Modulation (PPM). Several Patterns are selected for code division that the communication system could have a high ability to mitigate the inter-symbol interference (ISI) caused by multipath channel. Four communication channels work on the same time divided by different frequency, which lead to 1000bits/s of the data rate of communication. The simulation experiments show that the PDS system could adapt to many underwater acoustic channels for high data rate and high reliability. 展开更多
关键词 pattern time delay shift coding underwater acoustic communication inter-symbol interference (ISI)
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Mapping the Information Trace in Local Field Potentials by a Computational Method of Two-Dimensional Time-Shifting Synchronization Likelihood Based on Graphic Processing Unit Acceleration 被引量:1
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作者 Zi-Fang Zhao Xue-Zhu Li You Wan 《Neuroscience Bulletin》 SCIE CAS CSCD 2017年第6期653-663,共11页
The local field potential(LFP) is a signal reflecting the electrical activity of neurons surrounding the electrode tip. Synchronization between LFP signals provides important details about how neural networks are or... The local field potential(LFP) is a signal reflecting the electrical activity of neurons surrounding the electrode tip. Synchronization between LFP signals provides important details about how neural networks are organized. Synchronization between two distant brain regions is hard to detect using linear synchronization algorithms like correlation and coherence. Synchronization likelihood(SL) is a non-linear synchronization-detecting algorithm widely used in studies of neural signals from two distant brain areas. One drawback of non-linear algorithms is the heavy computational burden. In the present study, we proposed a graphic processing unit(GPU)-accelerated implementation of an SL algorithm with optional 2-dimensional time-shifting. We tested the algorithm with both artificial data and raw LFP data. The results showed that this method revealed detailed information from original data with the synchronization values of two temporal axes,delay time and onset time, and thus can be used to reconstruct the temporal structure of a neural network. Our results suggest that this GPU-accelerated method can be extended to other algorithms for processing time-series signals(like EEG and f MRI) using similar recording techniques. 展开更多
关键词 Local field potential Synchronization Temporal time-shifting Parallel computing
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Statistical Analysis for Assessing Randomness, Shift and Trend in Rainfall Time Series under Climate Variability and Change: Case of Senegal
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作者 Didier Maria Ndione Soussou Sambou +4 位作者 Moussé Landing Sane Seydou Kane Issa Leye Seni Tamba Mouhamed Talla Cisse 《Journal of Geoscience and Environment Protection》 2017年第13期31-53,共23页
The main purpose of this study is to assess the climate variability and change through statistical processing tools that able to highlight annual and monthly rainfall behavior between 1970 and 2010 in six strategical ... The main purpose of this study is to assess the climate variability and change through statistical processing tools that able to highlight annual and monthly rainfall behavior between 1970 and 2010 in six strategical raingauges located in northern (Saint-Louis, Bakel), central (Dakar, Kaolack), and southern (Ziguinchor, Tambacounda) part of Senegal. Further, differences in sensitivity of statistical tests are also exhibited by applying several tests rather than a single one to check for one behavior. Dependency of results from statistical tests on studied sequence in time series is also shown comparing results of tests applied on two different periods (1970-2010 and 1960-2010). Therefore, between 1970 and 2010, exploratory data analysis is made to give in a visible manner a first idea on rainfall behavior. Then, Statistical characteristics such as the mean, variance, standard deviation, coefficient of variation, skewness and kurtosis are calculated. Subsequently, statistical tests are applied to all retained time series. Kendall and Spearman rank correlation tests allow verifying whether or not annual rainfall observations are independent. Hubert’s procedures of segmentation, Pettitt, Lee Heghinian and Buishand tests allow checking rainfall homogeneity. Trend is undertaken by first employing the annual and seasonal Mann-Kendall trend test, and in case of significance, magnitude of trend is calculated by Sen’s slope estimator tests. All statistical tests are applied in the period of 1960-2010. Explanatory analysis data indicates upwards trends for records in northern and central and trend free for southern records. Application of multiple tests shows that the Kendall and spearman ranks correlation tests lead to same conclusion. The difference in tests sensitivity was shown by outcomes of homogeneity tests giving different results either in dates of the shift occurrence or in the significance of an eventual shift. A synthesis analysis of results of tests was carried out to conclude about rainfall behaviors. Tests for homogeneity show that southern rainfall is homogeneous, while northern and central ones are not. According to trend test, upwards trends in Northern and central rainfall trend free in southern assumption in exploratory data analysis have been confirmed. The Sen’s slop estimator shows that all retained trend can be assumed to linear type. The same test over the period 1960-2010 shows independence of observations in all raingauges and exhibits neither trends nor breaks. This seems to show a return to a wet period. 展开更多
关键词 Senegal RAINFALL time Series Test INDEPENDENCE HOMOGENEITY shift TREND
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基于改进TimeSformer算法的人体异常行为识别研究
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作者 廖晓群 徐清钏 +2 位作者 杨浩东 李丹 薛亚楠 《计算机工程》 北大核心 2025年第11期112-122,共11页
人体异常行为研究是应对人体潜在危险和紧急情况的重要保障任务。针对人体异常行为定义模糊、缺乏标准数据集等问题,基于生活场景定义头痛、摔倒、抽搐、腰痛、拳打、踢踹6种高发生频率的人体异常行为,并自建数据集HABDataset-6。基于... 人体异常行为研究是应对人体潜在危险和紧急情况的重要保障任务。针对人体异常行为定义模糊、缺乏标准数据集等问题,基于生活场景定义头痛、摔倒、抽搐、腰痛、拳打、踢踹6种高发生频率的人体异常行为,并自建数据集HABDataset-6。基于注意力机制的TimeSformer算法在自建数据集HABDataset-6上存在高损失和时间序列建模不全面的问题,难以提取复杂样本的特征。为了更好地处理人体异常行为数据,提出改进算法TS-AT。首先采用加速随机梯度下降(ASGD)优化算法改进交叉熵损失函数来设计CAS模块降低原算法损失值,其次嵌入时间偏移模块(TSM)到原算法的Backbone网络中,提高时间序列的感知能力,提取更优特征用于模型训练。实验结果表明:TS-AT算法在自建数据集HABDataset-6上取得了良好效果,各行为类别的平均推理准确率高于80%;在公开数据集UCF-10和老人异常行为数据上,平均测试准确率分别达到了99%和84%,超过了对比算法。这些结果表明TS-AT算法在人体异常行为识别方面具有更高的精确度和良好的鲁棒性,有望提高应对潜在危险和紧急情况的能力,进一步保障人们的安全与健康。 展开更多
关键词 人体异常行为 timeSformer算法 时间序列 优化算法 时间偏移模块
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A Modified Stability Analysis of Two-Dimensional Linear Time Invariant Discrete Systems within the Unity-Shifted Unit Circle
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作者 Periyasamy Ramesh 《Circuits and Systems》 2016年第3期110-118,共9页
This paper proposes a method to ascertain the stability of two dimensional linear time invariant discrete system within the shifted unit circle which is represented by the form of characteristic equation. Further an e... This paper proposes a method to ascertain the stability of two dimensional linear time invariant discrete system within the shifted unit circle which is represented by the form of characteristic equation. Further an equivalent single dimensional characteristic equation is formed from the two dimensional characteristic equation then the stability formulation in the left half of Z-plane, where the roots of characteristic equation f(Z) = 0 should lie within the shifted unit circle. The coefficient of the unit shifted characteristic equation is suitably arranged in the form of matrix and the inner determinants are evaluated using proposed Jury’s concept. The proposed stability technique is simple and direct. It reduces the computational cost. An illustrative example shows the applicability of the proposed scheme. 展开更多
关键词 TWO-DIMENSIONAL Characteristics Equation Unity shifting Inner Determinant Linear time Invariant Discrete Systems Stability
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高铁场景下TMA-RIS辅助的保密通信优化算法
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作者 李翠然 王天临 +2 位作者 吴昊 张泽鹏 谢健骊 《西安电子科技大学学报》 北大核心 2026年第1期41-55,共15页
在高速铁路无线通信中,信道环境的高动态特性及窃听者的存在严重威胁到系统的保密通信性能。为解决通信系统的安全性问题,构建了一个基于时间调制阵列-智能超表面辅助的下行多输入多输出保密通信系统模型。该系统采用一种共孔径干扰辅... 在高速铁路无线通信中,信道环境的高动态特性及窃听者的存在严重威胁到系统的保密通信性能。为解决通信系统的安全性问题,构建了一个基于时间调制阵列-智能超表面辅助的下行多输入多输出保密通信系统模型。该系统采用一种共孔径干扰辅助的时间调制阵列发射结构,以实现在传输信息的同时对信道环境中的窃听者施加定向干扰。考虑到多普勒频移变化对信道稳定性的影响,引入基于重采样滑窗技术的结构化状态空间序列模型对多普勒频移进行预测。进一步,将时间调制阵列开关时间、基站发射功率以及智能超表面相移矩阵作为联合优化变量,构建以最大化保密通信速率为目标的优化问题。针对该问题的高维复杂性和耦合性,提出一种基于噪声衰减策略的双延迟深度确定性策略梯度强化学习算法进行求解。仿真结果表明,基于重采样滑窗技术的结构化状态空间序列模型在列车速度和多普勒频移预测上具有较高的精确度,而所提出的优化算法相比于深度确定性策略梯度算法和传统交替优化方法等主流算法,通过引入噪声衰减策略获得了更高的收敛上限和更快的收敛速度,能显著提升高铁场景中的保密通信性能。 展开更多
关键词 保密通信 MIMO 高速列车 智能超表面 时间调制阵列 多普勒频移 深度强化学习
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Propagation Dynamics of Forced Pulsating Waves for a Time Periodic Lotka-Volterra Cooperative System with Nonlocal Effects in Shifting Habitats
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作者 Zewen Gong 《Journal of Applied Mathematics and Physics》 2024年第10期3402-3421,共20页
In this paper, we will concern the existence, asymptotic behaviors and stability of forced pulsating waves for a Lotka-Volterra cooperative system with nonlocal effects under shifting habitats. By using the alternativ... In this paper, we will concern the existence, asymptotic behaviors and stability of forced pulsating waves for a Lotka-Volterra cooperative system with nonlocal effects under shifting habitats. By using the alternatively-coupling upper-lower solution method, we establish the existence of forced pulsating waves, as long as the shifting speed falls in a finite interval where the endpoints are obtained from KPP-Fisher speeds. The asymptotic behaviors of the forced pulsating waves are derived. Finally, with proper initial, the stability of the forced pulsating waves is studied by the squeezing technique based on the comparison principle. 展开更多
关键词 Nonlocal Effects time Periodic Lotka-Volterra System Forced Pulsating Waves shifting Habitats
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D-LINet:融合双线性层与双向归一化的时间序列预测框架
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作者 耿海军 李东鑫 《计算机科学》 北大核心 2026年第2期170-179,共10页
时间序列预测在能源管理、交通流量和气象分析等多个实际场景中具有重要应用价值。然而,时间序列数据中存在的分布漂移(Distribution Shift)与长程依赖(Long-term Dependency)仍限制了传统方法与现有深度学习模型在长期预测中的表现。为... 时间序列预测在能源管理、交通流量和气象分析等多个实际场景中具有重要应用价值。然而,时间序列数据中存在的分布漂移(Distribution Shift)与长程依赖(Long-term Dependency)仍限制了传统方法与现有深度学习模型在长期预测中的表现。为此,提出了一种名为D-LINet(Dual-Normalization and Linear Integration Network)的创新模型。该模型结合了Dish-TS(Distribution Shift in Time Series Forecasting)框架的分布归一化能力与线性映射的高效性,并采用双向归一化与双线性层的设计,有效缓解输入与输出空间的分布偏移,增强了对周期性与趋势性特征的捕捉能力。在多个真实数据集上对D-LINet的预测性能进行了全面评估。结果显示,在短期与长期预测中,D-LINet的均方误差和平均绝对误差均显著优于主流模型(如Transformer,Informer,Autoformer和DLinear)。此外,实验还探讨了输入窗口长度及先验知识的引入对预测性能的影响,为后续模型优化提供了重要指导。该研究针对复杂分布漂移问题提出了新的解决思路,并有助于提升时间序列预测的精度与稳健性。 展开更多
关键词 时间序列预测 分布漂移 双向归一化 线性映射 周期性与趋势性建模
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多尺度特征建模的图像时间序列预测网络
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作者 沈瑜 马煜堃 +5 位作者 赵永刚 魏子易 李江柽 王若暄 刘佳英 闫佳荣 《哈尔滨工业大学学报》 北大核心 2026年第1期119-130,共12页
为提高图像时间序列预测的精度,本研究提出了一种基于长短期记忆网络(long short-term memory,LSTM)与注意力机制的时间序列预测网络:MA-LSTM。该网络整体由多尺度注意力模块(multi-scale attention block,MAB)、多尺度注意力层(multi-s... 为提高图像时间序列预测的精度,本研究提出了一种基于长短期记忆网络(long short-term memory,LSTM)与注意力机制的时间序列预测网络:MA-LSTM。该网络整体由多尺度注意力模块(multi-scale attention block,MAB)、多尺度注意力层(multi-scale attention layer,MALayer)和超分辨率重建模块(super resolution reconstruction module,SRRM)组成,以多尺度特征建模为核心,着重提升时空特征表达能力与长程依赖建模能力。首先,MA-LSTM设计了MAB模块,通过时空特征增强层提升模型的细节建模能力,并利用通道特征增强层加强了特征图的跨维度信息交互,解决了SwinLSTM对于细粒度特征捕捉不足的问题。其次,MA-LSTM引入了简化的LSTM结构,与MAB结合构建了MALayer,增强模型对时序信息的建模能力。最后,在特征图重建时设计了SRRM模块,有效增强模型预测输出的细节表达能力。研究表明,MA-LSTM在MovingMNIST和KTH两个不同领域的数据集上,结构相似性指数分别达到0.9602和0.9243,与SwinLSTM、PhyDNet、PredRNN、ConvLSTM网络进行的对比试验结果表明,结构相似性指数最高提升了0.337和0.212,展现了其在时序预测任务中的高效性和适用性,且具备跨领域的推广潜力。此外,消融实验进一步证明了本文所提出模块的有效性。 展开更多
关键词 图像时间序列 预测网络 LSTM 移位窗口注意力 多注意力融合
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级联H桥型逆变器无窄脉冲调制策略
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作者 张国澎 林昊 +2 位作者 郑征 陶海军 徐冬冬 《电机与控制学报》 北大核心 2026年第2期133-144,共12页
对于级联H桥型(CHB)逆变器,载波移相脉冲宽度调制(CPS-PWM)因其等效频率高、容易实现级联单元间功率均衡而受到青睐,但其存在的窄脉冲问题不容忽视,窄脉冲会导致功率器件产生较大的电压尖峰与振荡,影响电力电子设备安全运行。为此,提出... 对于级联H桥型(CHB)逆变器,载波移相脉冲宽度调制(CPS-PWM)因其等效频率高、容易实现级联单元间功率均衡而受到青睐,但其存在的窄脉冲问题不容忽视,窄脉冲会导致功率器件产生较大的电压尖峰与振荡,影响电力电子设备安全运行。为此,提出一种无窄脉冲的调制策略,其能在完全消除CHB逆变器中窄脉冲的同时保证良好的波形质量。首先,推导引入死区和死区补偿机制后,逆变器运行参数与功率器件开关函数的关系,以此为依据分析CPS-PWM策略下窄脉冲的产生的机理与分布特征。接着,通过类比死区加入前后窄脉冲的发生条件,评估原始驱动信号宽度与窄脉冲的关系,给出可以避免窄脉冲问题的原始信号宽度的选定方法。进一步研究能有效减少输出谐波含量的调制波与载波的动态变化规律,最后,探讨所提策略的数字化实现。实验结果验证所提策略的有效性。 展开更多
关键词 逆变器 级联H桥 载波移相脉冲宽度调制 死区补偿 窄脉冲
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缓冲气体冷却的氟化镁分子束的速度分布测量
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作者 董涛晶 吴迪 夏勇 《量子光学学报》 北大核心 2026年第1期66-75,共10页
冷分子在精密测量、多体量子系统、超冷化学及量子信息等领域具有重要的科学价值。本文中基于第二代缓冲气体冷却的分子束源系统,制备了高通量氟化镁(MgF)冷分子束。采用激光扫频法测量了MgF分子的超精细能级结构,确定了分子冷却所需的... 冷分子在精密测量、多体量子系统、超冷化学及量子信息等领域具有重要的科学价值。本文中基于第二代缓冲气体冷却的分子束源系统,制备了高通量氟化镁(MgF)冷分子束。采用激光扫频法测量了MgF分子的超精细能级结构,确定了分子冷却所需的共振激光频率。首次报道了缓冲气体冷却的分子束的纵向速度分布的测量方法,为不同分子体系的速度测量提供了一种普适性方法。研究了分子速度的两种测量方法:自由飞行时间法与多普勒频移法。此外,通过调节消融激光焦点相对位置,研究了其对分子纵向中心速度及荧光信号强度的影响。研究结果表明,波长计锁定的718 nm激光的频率漂移量稳定在±2.5 MHz/h,满足激光冷却的频率稳定性要求。自由飞行时间方法测量的分子纵向中心速度(最概然速率)为220.360 m/s,多普勒频移方法测量的分子纵向速度分布的中心速度为223.972 m/s。两种方法测量的分子中心速度基本一致。研究结果为进一步的分子束纵向减速和磁光囚禁奠定了基础。 展开更多
关键词 激光冷却与囚禁 MgF分子 缓冲气体冷却 自由飞行时间 多普勒频移
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结合分水岭的Mean-Shift图像分割新算法 被引量:5
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作者 杨静 陈昭炯 《小型微型计算机系统》 CSCD 北大核心 2009年第12期2493-2496,共4页
针对Mean-Shift图像分割算法需要对图像中每个像素点进行迭代计算、耗时多的问题,提出一种改进的图像分割算法.研究发现,分水岭算法可以将一幅图像划分为若干一致性较好的区域,这一优势恰好有利于Mean-Shift算法的处理.本文利用分水岭... 针对Mean-Shift图像分割算法需要对图像中每个像素点进行迭代计算、耗时多的问题,提出一种改进的图像分割算法.研究发现,分水岭算法可以将一幅图像划分为若干一致性较好的区域,这一优势恰好有利于Mean-Shift算法的处理.本文利用分水岭算法对图像进行初始分割,将以点阵形式表示的图像转化为块状表示,再运用改进的Mean-Shift算法对每个块进行迭代计算.实验结果和时间复杂性分析表明,新算法在很好地保持了原算法分割效果的前提下,时间效率有了很大程度的提高. 展开更多
关键词 MEAN-shift 分水岭 图像分割 时间复杂度
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基于时移多尺度等概率符号化样本熵的气液两相流动态特性分析
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作者 孙庆明 张玉玮 +3 位作者 巴頔 李振谭 夏雨蒙 杜洋 《大连理工大学学报》 北大核心 2026年第2期111-118,共8页
为了揭示气液两相流动结构间复杂性和不稳定性的差异,提出一种基于时移多尺度等概率符号化样本熵(TMESSE)的分析方法.在对7种典型时间序列进行分析的基础上,充分验证了所提方法的可行性与有效性;进而对垂直上升管内气液两相流压差波动... 为了揭示气液两相流动结构间复杂性和不稳定性的差异,提出一种基于时移多尺度等概率符号化样本熵(TMESSE)的分析方法.在对7种典型时间序列进行分析的基础上,充分验证了所提方法的可行性与有效性;进而对垂直上升管内气液两相流压差波动时间序列展开深入分析.结果表明,TMESSE熵值分布趋势能够跨多尺度表征不同流型演化特性,TMESSE均值与复杂性指数联合分布可以在定性刻画不同条件下流动不稳定性之间差异的基础上,跨多尺度定量映射气液两相流动结构的综合不稳定程度. 展开更多
关键词 时移多尺度 符号化 样本熵 两相流 动态特性
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Jump Drive, Replicators, Transporters, and Time Travel 被引量:1
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作者 Yosef Joseph Segman 《Advances in Aerospace Science and Technology》 2021年第3期123-133,共11页
Jumping from place to place, replicating food, biological or mechanical parts or beaming up somebody, may not be fiction, rather an issue of practical implementation as shall be observed in this paper. Devices like tr... Jumping from place to place, replicating food, biological or mechanical parts or beaming up somebody, may not be fiction, rather an issue of practical implementation as shall be observed in this paper. Devices like transporter, food replicators or warp drive intrigue our imagination. This paper is intended to show that Jump drive is an issue of coordinate transformation. Changing location from planet X to planet Y does not necessarily require travelling a distance D connecting between the two planets. The theoretical knowledge of changing the location from coordinate X to coordinate Y exists;we do that in signal processing, but, we have not yet developed such a machine. The present paper shows the feasibility of jump drive;however, much work needs to be done on the implementation. 展开更多
关键词 Fourier Transform Spatial shift time shift Coordinates Transformation time Travel Discontinuous Travel Transporters Replicators CAUSALITY Noncausality
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基于改进Mean Shift算法的实时视频目标跟踪 被引量:4
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作者 胡波 《光子学报》 EI CAS CSCD 北大核心 2012年第4期461-465,共5页
设计了一套嵌入式平台上实现的视频目标跟踪系统.该系统采用CMOS图像传感器获取视频信号,利用Z228多媒体芯片自带的ARM9处理器完成视频信号的控制,并通过MPEG-4硬件编码器实现视频信号的压缩.用Mean Shift算法跟踪运动目标,针对其收敛... 设计了一套嵌入式平台上实现的视频目标跟踪系统.该系统采用CMOS图像传感器获取视频信号,利用Z228多媒体芯片自带的ARM9处理器完成视频信号的控制,并通过MPEG-4硬件编码器实现视频信号的压缩.用Mean Shift算法跟踪运动目标,针对其收敛的局限性设置多个搜索点来提高其跟踪效果.通过减少采样点和标记已计算点来提高代码运行速度,增强了跟踪的实时性.实验结果表明,本系统能以27fps速率连续稳定地实现视频目标的跟踪. 展开更多
关键词 嵌入式 视频目标跟踪 图像传感器 Mean shift算法 实时
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基于双分解融合TSMDE和ISSA的水电机组故障诊断
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作者 方贤思 郑阳 +3 位作者 刘佳佳 何宇平 闵万雄 徐进 《水电能源科学》 北大核心 2026年第3期200-205,共6页
水电机组故障诊断目前的研究多基于单一优化,缺少模型的多元性抗噪能力。为此,提出了一种基于集合经验模态分解—变分模态分解改进的麻雀搜索算法(ISSA)优化卷积神经网络—长短期记忆模型(CNN-LSTM),并引入时移机制的多尺度散布熵(TSMDE... 水电机组故障诊断目前的研究多基于单一优化,缺少模型的多元性抗噪能力。为此,提出了一种基于集合经验模态分解—变分模态分解改进的麻雀搜索算法(ISSA)优化卷积神经网络—长短期记忆模型(CNN-LSTM),并引入时移机制的多尺度散布熵(TSMDE)提高特征提取能力。仿真验证结果表明,ISSA-CNN-LSTM模型结合TSMDE增强特征提取能力,有效解决了强噪声环境下水电机组振动信号的复杂分解与故障特征区分难题,显著提升了信号处理的鲁棒性,有效解决了分解准确率和效率较低的问题,使水电机组故障诊断更全面准确。 展开更多
关键词 水电机组 时移多尺度散布熵 优化算法 故障诊断 集合经验模态分解
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基于运到时限的铁路动态车流组织优化方法
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作者 贾祥 逯红兵 +1 位作者 王飞 秦鉴 《中国铁路》 北大核心 2026年第3期48-55,共8页
当前货运市场对运输服务时效性要求较高,各运输方式之间竞争激烈,既有铁路车流组织模式亟待优化。综合考虑路网整体效益和服务质量,构建以路网车流总运输时间最小为目标的铁路动态车流组织优化模型,并设计拉格朗日松弛算法求解;同时为... 当前货运市场对运输服务时效性要求较高,各运输方式之间竞争激烈,既有铁路车流组织模式亟待优化。综合考虑路网整体效益和服务质量,构建以路网车流总运输时间最小为目标的铁路动态车流组织优化模型,并设计拉格朗日松弛算法求解;同时为适应车流波动,在列车基本运行图的基础上挑选运行线形成调度日班计划,从而实现动态车流在运行线上的合理分配。研究结果表明:(1)模型可实现基于“局站一体化”的调度日班计划自动编制,提升车站工作效率,提高路网整体运输质量,保障货物运到时限;(2)模型可结合日常动态车流实现组流上线,得到车流的中转方案,便于掌控货物的全过程运输状态,推算货物的位置和送达时间;(3)模型在列车基本运行图的基础上引入备选运行线,为车流提供更多的时空路径选择,使其更好适应市场需求和波动;(4)中国铁路沈阳局集团有限公司实例结果显示,优化后车流在技术站中转停留的车小时消耗占比仅9.52%,车流直达比例高达81.1%,所有货物在规定时间送达,可实现对货物全过程运输的组织规划。提出方法具有良好的实用性和推广价值,可为铁路运输组织优化提供参考。 展开更多
关键词 动态车流组织 调度日班计划 运到时限 离散时空网络 拉格朗日松弛算法
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结合卡尔曼滤波和Mean Shift的抗遮挡跟踪算法 被引量:15
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作者 章学静 陈禾 杨静 《北京理工大学学报》 EI CAS CSCD 北大核心 2013年第10期1056-1061,共6页
针对卡尔曼滤波和Mean Shift算法结合后对严重遮挡和遮挡后复出失效且实时性差的问题,提出一种基于卡尔曼滤波和Mean Shift动态结合的改进算法.通过在算法中加入Bhattacharyya系数进行遮挡程度判断,并根据遮挡系数的阈值选择使用卡尔曼... 针对卡尔曼滤波和Mean Shift算法结合后对严重遮挡和遮挡后复出失效且实时性差的问题,提出一种基于卡尔曼滤波和Mean Shift动态结合的改进算法.通过在算法中加入Bhattacharyya系数进行遮挡程度判断,并根据遮挡系数的阈值选择使用卡尔曼滤波或线性预测法更新Mean Shift迭代起点.实验结果表明,该方法能成功实现大范围连续遮挡和目标复出情况下红外目标的跟踪,并且迭代次数和跟踪时间分别减少了9.68%和17.58%,提高了跟踪的鲁棒性和实时性. 展开更多
关键词 卡尔曼滤波 Mean shift算法 遮挡判断 线性预测 实时性
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