Rubber expansion has been widely explored at various scales due to its increasing environmental and socio-economic impact the global demand for natural rubber products. However, accurate up-to-date maps large-scale monitoring of plantation spatial distribution are not yet available. In this article, we developed a simple algorithm rapidly accurately mapping plantations on Hainan Island, China, by combining survey samples Landsat 8 Operational Land Imager data from 2014 in order understand...

Shape memory alloy (SMA) has excellent damping properties and super elasticity, can be used as vibration energy absorbing materials for structures. Through the study of boundary conditions four side fixation, opposite adjacent fixation one sinusoidal scanning frequency experiment SMA double pyramid lattice sandwich plate is studied. With increase modal order, gap increasing. effects loading rate, strain amplitude cycle number on mechanical bipyramid core, it found that decreases by 2.44%...

In order to resolves the problem of occlusion in process target tracking, an improved anti-occlusion tracking algorithm was proposed this paper based on compressive particle filtering (CPF). Compressive sensing theory introduced into filter (PF) framework ensure instantaneity tracking. We apply histogram with spatial information and sub-part matching ideas enhance robustness when blocked by barriers. approach, we adopt different strategies occluded or not. When occluded, it updating...

Modeling and estimating the energy consumption of computer numerical control (CNC) milling systems have been recognized as essential ways to realize lean management improve efficiency performance. As preparatory phase, considerable time are consumed in tool setting process. However, research on process mainly focuses accuracy operational efficiency, is usually ignored or simplified. Accurately thus indispensable for reducing CNC improving their efficiency. To bridge this gap, an estimation...

Abstract This paper focuses on a decentralized adaptive scheme for class of nonlinear time‐varying interconnected systems based neural networks output tracking. By introducing constraint estimation method and two smooth functions, the barrier unknown interaction in system is avoided. means incorporating back‐stepping technique capability networks, we aim to approximate parts establish novel with prescribed performance. Furthermore, according Lyapunov stability theorem, it can be inferred...

We demonstrate bit synchronization of two 1-Gb/s nonreturn-to-zero input signals to within 125 ps (1/8 a time) using subcarrier as the control signal for determining time delay between baseband channels. The 1-GHz each channel is superimposed onto data at transmitter, then recovered and mixed in real with local clock switching node generate proportional relative phase differential. This differential used dynamically set optical space switches thereby controlling path through matrix lines....

There exists an increasing strong demand for internet application in passenger trains, and the wireless broadband coverage along whole railway is a prerequisite of trains. Wireless Mesh Network(WMN) based on 802.16 provides new solution idea railway, which OFDM technology to support high-bandwidth data transmission high-speed mobile environment. Orthogonal Frequency Division Multiplexing (OFDM) key physical layer WMN has anti-interference ability, high bandwidth utilization rate. But there...

In this paper, an adaptive intelligent control scheme is presented to investigate the problem of tracking for a class nonstrict-feedback nonlinear systems with constrained states and unmodeled dynamics. By approximating unknown uncertainties, utilizing Barrier Lyapunov functions (BLFs), designing dynamic signal deal dynamics, respectively, neural network (NN) controller developed in frame backstepping design. order simplify design process, form treated by using special properties Gaussian...

Welcome to the WIT Press eLibrary - home of Transactions Wessex Institute collection, providing on-line access papers presented at Institute's prestigious international conferences and from its State-of-the-Art in Science & Engineering publications.

IEEE802.16d wireless mesh network(WMN) includes two different scheduling mechanisms: distributed and centralized scheduling. The performance of WMN has been influenced by many factors. This paper analyses researches the limited from factors throughput delay in detail based on mechanism mode. An improvement method proposed to optimize according premise meeting business requirements. simulations show that analysis is feasible.

Convolutional neural networks are data-driven Image Quality Assessment (IQA) models based on the convolutional operation in a rectangular window. Deformable convolutions with learnable receptive fields can efficiently extract structural features of irregular objects an image. By superimposing deformable convolutions, plug-and-play module is designed to obtain information for geometric shapes. To selectively fuse shallow and deep features, we propose weighted non-local attention (WNLA) input...

In this work, an output feedback controller based on adaptive backstepping technique is considered for a class of transport information switched systems. A modified neural network control method successfully built by combining the general approximation capability and dynamic surface with improved mean discrete time scheme. More specifically, observer constructed to reduce conservatism caused use common observer, adopting coordinate transformation all subsystems, it proved that overall...

In this paper, a novel distance-based multilabel classification algorithm is proposed. The proposed combines k-nearest neighbors (kNN) with neighborhood classifier (NC) to impose double constraints on the quantity and distance of neighbors. short, radius constraint introduced in kNN model improve accuracy, <a:math xmlns:a="http://www.w3.org/1998/Math/MathML" id="M1"> <a:mi>k</a:mi> </a:math> added NC speed up computing. From constraints, probabilities for each label are estimated by Bayesian...