Research Article| May 01, 1995 South China in Rodinia: Part of the missing link between Australia–East Antarctica and Laurentia? Zheng-Xiang Li; Li 1Department Geology Geophysics, University Western Australia, Nedlands, Australia 6907, Search for other works by this author on: GSW Google Scholar Linghua Zhang; Zhang Christopher McA. Powell (1995) 23 (5): 407–410. https://doi.org/10.1130/0091-7613(1995)023<0407:SCIRPO>2.3.CO;2 Article history first online: 02 Jun 2017 Cite View This Citation...

We investigate an energy cost minimization problem for a smart home in the absence of building thermal dynamics model with consideration comfortable temperature range. Due to existence uncertainty, parameter uncertainty (e.g., renewable generation output, nonshiftable power demand, outdoor temperature, and electricity price), temporally coupled operational constraints, it is very challenging design optimal management algorithm scheduling heating, ventilation, air conditioning systems storage...

Abstract Accurate load forecasting is essential for ensuring safe, stable, and economical operation of energy internet. Temporal convolutional networks (TCNs) have demonstrated superior performance, when compared to recurrent neural network models, since their introduction in electrical forecasting. However, the current TCN‐based models are unable obtain a large receptive field strong long‐time feature extraction capability owing specific kernel size 1D convolution structure. This paper...

In this paper, we examine the physical layer security for cooperative wireless networks with multiple intermediate nodes, where decode-and-forward protocol is considered. We propose a new joint relay and jammer selection (JRJS) scheme protecting communications against eavesdropping, an node selected as sake of forwarding source signal to destination meanwhile, remaining nodes are employed act friendly jammers, which broadcast artificial noise disturbing eavesdropper. further investigate...

This paper proposes a new joint cooperative beamforming and jamming (JCBJ) scheme for improving the physical layer security of decode-and-forward wireless networks where source node transmits to its destination with aid multiple intermediate nodes in presence an eavesdropper. In proposed JCBJ scheme, we select succeeding decoding as relays forward transmission simultaneously by employing weight vector, meanwhile, use remaining ones friendly jammers disturb eavesdropper sending artificial...

To enhance the safety of power grid operations, this study proposes a high-precision short-term photovoltaic prediction method that integrates information from surrounding pho-tovoltaic stations and Conv-LSTM-ATT model. In deep learning model, not only is numerical weather (NWP) data target station used as input features, but also highly correlated features nearby are incor-porated. The research begins by analyzing correlation between irradiance se-quences, along with distance factors, to...

Geographical dispersion and output power fluctuations are the major barriers to efficient utilization grid connection of building attached photovoltaic (BAPV). To eliminate these negative factors, a reliable energy management system an accurate forecasting model necessary. In this paper, we first design micro-grid based on Internet, which aims tackle problems faced by grid-connected BAPV through effective dual-flow information. context proposed micro-grid, propose deep that employs...

The energy Internet (EI) is an important infrastructure for effectively utilizing and intelligently managing renewable sources (RES). In this paper, we study the architecture design of EI under backdrop large-scale RES grid connection efficient forecasting optimal utilization energy. contribution paper threefold. First, a hierarchical integration attempt to solve issues information management that stem from connection. Second, propose novel scheme significantly reduces amount effort ensures...

Given to the non-line-of-sight (NLOS) error existing in location of wireless sensor network (WSN), together with strong anti-noise ability, good data approximation and flexible parallel processing ability BP neural network, method using optimize WSN nodes is put forward this paper. Firstly, source analyzed. Then traditional optimized on structure algorithm improve convergence speed. Finally reliable are used train network. The trained applied fulfill unknown nodes. Meanwhile, simulation...

In wireless sensor networks, DV-Hop localization algorithm which uses average hop distance to represent the actual is a commonly used range-free technology. But this has great error and node energy consumption in practical applications. Evolutionary branch differential evolution algorithm. DE been widely large number of fields, as result simple structure can combine with other methods easily. To solve disadvantages algorithm, an advanced on basic paper proposed. reduce error, improved...

In this paper, we analyze the characteristics of load forecasting task in Energy Internet context and deficiencies existing methods then propose a data driven approach for one-hour-ahead based on deep learning paradigm. The proposed scheme involves three aspects. First, formulate historical matrix (HLM) with spatiotemporal correlation combined EI scenario create three-dimensional tensor (HLT) that contains HLMs multiple consecutive time points before forecasted hour. Second, preprocess HLT...

The most commonly used algorithm in the sound source localization based on time delay estimation (TDE) is generalized cross correlation, but more sensitive to noise and reverberation. Aiming at this problem, paper proposes a quadratic correlation. correlation peak precision improve resolution near peak. Finally, further improved by Hilbert difference method. experimental results show that has significant improvement anti - performance accuracy of algorithm.

In wireless sensor networks, one of the core problems is realization positioning. order to solve issue traditional centroid localization algorithm's accuracy, a weighted mass algorithm based on weight correction proposed in this paper. Firstly, improved converts RSSI data received by unknown nodes into distance, then calculate negative square distance ratio as mend weight. Finally, use modified further improving positioning precision. The simulation results indicate that can greatly improve...

Positioning scheme is one of the fundamental issue in wireless sensor network (WSN), especially for situation needing accurate position sensed information. Many approaches have been performed to identify inaccurate node localization. DV-Hop (Distance Vector-hop) a well-known localization algorithm [1,2]. In with conventional localization, ordinary nodes use average hop distance value estimated by nearest beacon locate themselves. However, only may not reflect true accurately. For purpose...

To enhance the safety of grid operations, this paper proposes a high-precision short-term photovoltaic (PV) power forecasting method that integrates information from surrounding PV stations and deep learning prediction models. The proposed utilizes numerical weather (NWP) data target station highly correlated features nearby as inputs. This study first analyzes correlation between irradiance sequences calculates comprehensive similarity index based on distance factors. Stations with...

Acoustic feedback suppression is a key task of digital hearing aid which commonly uses least mean square (LMS) or normalized LMS(NLMS) adaptive algorithm to cancel acoustic signal, however the characteristic signal not considered in these algorithms. In order improve listening recognition hearing-impaired patients, this paper proposes new variable step-size improved proportionate NLMS(IPNLMS) bases on sparseness echo impulse. According nonlinear relationship between step size and error...

Because accurate position information plays an important role in wireless sensor networks (WSNs), target localization has attracted considerable attention recent years. In this paper, based on spatial domain discretion, the problem is formulated as a sparsity-seeking that can be solved by compressed sensing (CS) technique. To satisfy robust recovery condition called restricted isometry property (RIP) for CS theory requirement, orthogonalization preprocessing method named LU (lower triangular...

In this paper, we propose a new joint relay and jammer selection (JRJS) scheme to enhance the physical layer security for cooperative wireless networks with multiple intermediate nodes, where decode-and-forward (DF) protocol is considered. proposed JRJS scheme, an node selected as data transmission, while others are used act friendly jammers disrupting eavesdropper by broadcasting artificial noise. We focus on power allocation between maximize secrecy rate of under total transmit constraint,...