We studied the structural behavior and electrical transport properties of epitaxial α-SnO thin films grown on (1̄012) α-Al2O3 (sapphire) substrate. Hall effect measurements revealed that as-deposited SnO film is a p-type semiconductor. In situ x-ray diffraction studies show phase metastable will transform into SnO2 with rutile type structure when annealed at high temperatures in air. The onset this transformation was observed to begin approximately 300 °C during heating. Shortly thereafter,...

This paper reports the design and modelling of a new piezo-driven microgripper with large output displacements. The is based on double-rocker mechanism parallelogram mechanism. can produce displacement parallel movement gripper tips. Theoretical models for are derived using pseudorigid-body-model method. Through several finite-element analysis simulations, optimal geometric parameters obtained, theoretical evaluated verified. performance proposed demonstrated by experiments,...

An ultrafast (100 fs) Ti sapphire laser (780 nm) was used for the deposition of SnO2 thin films. The laser-induced plasma generated from target characterized by optical emission spectroscopy and electrostatic energy analysis. It found that ionic versus excited-neutral component ratio in plume depends strongly on amount background oxygen introduced to chamber. Epitaxial films with high quality a very smooth surface were deposited (1̄012) substrate fabricated at 700 °C an pressure ∼0.1 mTorr....

This paper presents the design, modeling and position/force control of a new piezo-driven microgripper with integrated position force sensors. The structural design is based on double amplification mechanisms employing bridge-type mechanism parallelogram mechanism. can generate large gripping range pure translation arm. Through pseudorigid-body-model method, theoretical models are derived. By means several finite-element analysis simulations, optimal parameters for acquired analyzed...

Gait authentication, especially sensor-based patterns, has been studied by researchers for decades. Nowadays, gait authentication become an important facet of biometric systems due to the so-called unique characteristics each user. With development various technologies (i.e., hardware, data processing, features extraction, and learning algorithms), performance methods is gradually improving. But we have found that vulnerability most existing can be compromised easily. In this paper, propose...

Epitaxial (101) tin dioxide thin films with thickness ranging from 6 and 100 nm were deposited on the (101̄2) α-Al2O3 substrate by femtosecond pulsed laser ablation. Due to lattice thermal expansion mismatch substrate, SnO2 film shows interfacial misfit dislocations, antiphase boundaries (APBs), partial dislocations. The APBs lie along (1̄01) planes a displacement of 1/2[101]. densities dislocations vary thickness, whereas average spacing remains constant. Hall effect measurements showed...

Deep learning has made important contributions to classification tasks applied fault diagnosis. However, it is crucial integrate the technologies into real industrial applications through cost-effective hardware. Edge computing, a new computing paradigm, potential accelerate system response time, reduce bandwidth for transmission, and use fewer resources. In this article, distillation quantization compression method based on energy entropy compress convolutional neural network (CNN), which...

This paper presents the design, implementation and control of a new piezoelectrically actuated compliant micromanipulator dedicated to multiscale, precision reliable operations. To begin with, manipulator is devised obtain multi degrees freedom large workspace ranges. Two-stage amplification mechanisms (consists leverage rocker mechanisms) composite parallelogram are combined construct lower microstage. Meanwhile, structure design upper dual-driven microgripper based on bridge-type mechanism...

Traditional deconvolution methods struggle to separate fault information under interference from contaminative signals. Although some improved efforts tried, their application is strictly limited parameter requirements. To overcome this, a composite envelope negentropy and reconstruction (CENDR) method proposed. First, considering the inherent sensitivity repetitious transient features in energy domain, (CEN) utilized as objective function for enhance features. Then, an adaptive based on CEN...

Photovoltaic (PV) power generation is greatly affected by meteorological environmental factors, with obvious fluctuations and intermittencies. The large-scale PV grid connection has an impact on the source-load stability of large grid. To scientifically rationally formulate dispatching plan, it necessary to realize output prediction. prediction single plants no longer applicable dispatching. Therefore, demand for multiple in entire region becoming increasingly important. In view drawbacks...

Power quality disturbances (PQDs) have a large negative impact on electric power systems with the increasing use of sensitive electrical loads. This paper presents novel hybrid algorithm for PQD detection and classification. The proposed method is constructed while using following main steps: computer simulation signals, signal decomposition, feature extraction, heuristic selection selection, First, different types signals are generated by simulation. Second, variational mode decomposition...

Condition monitoring is used to assess the reliability and equipment efficiency of wind turbines. Feature extraction an essential preprocessing step achieve a high level performance in condition monitoring. However, fluctuating conditions turbines usually cause sudden variations monitored features, which may lead inaccurate prediction maintenance schedule. In this scenario, article proposed novel methodology detect multiple levels faults rolling bearings variable operating conditions. First,...

With the popularity of smartphones and development hardware, mobile devices are widely used by people. To ensure availability security, how to protect private data in without disturbing users has become a key issue. Mobile user authentication methods based on motion sensors have been proposed many works, but existing series problems such as poor de-noising ability, insufficient availability, low coverage feature extraction. Based shortcomings methods, this paper proposes hybrid deep learning...