A novel coplanar waveguide-fed rectenna with high efficiency is proposed and implemented in this paper for 2.45-GHz Bluetooth/ wireless local area network applications. The antenna has compact dimensions of 18 mm × 30 mm, which simulated manufactured using a low-cost FR4 substrate thickness 1.6 mm. tuning stub technique rectangular slots used better impedance matching enhancing the bandwidth peak gain 5.6 dB. RF energy harvesting applications exhibits dipolelike radiation pattern H-plane...

This paper presents an adaptive leak detection and location scheme for gas pipelines by using acoustic emission (AE) sensors. When being ejected from pipelines, is produced at the hole vibration transmitted along pipeline. The movement can be picked up AE sensors placed either sides of a suspected on outer surface pipelines. elastic wave signals carry information source which reveals occurrence leak. time delay between two are estimated estimator used in combination with sonic speed space to...

This paper presents a dual‐band coplanar waveguide (CPW) fed printed antenna with rectangular shape design blocks having ultrawideband characteristics, proposed and implemented on an FR4 substrate. The size of the is just 25 mm × 35 mm. A novel rounded corners technique used to enhance not only impedance bandwidth but also gain antenna. covers two ultrawide bands which include 1.1–2.7 GHz 3.15–3.65 GHz, thus covering 2.4 Bluetooth/Wi‐Fi band most 3G, 4G, future expected 5G band, that is,...

Automatic and efficient ground penetrating radar (GPR) data analysis remains a bottleneck, especially restricting applications in real-time monitoring systems. Deep learning approaches have good practice automatic object identification, but their intensive requirement has reduced applicability. This paper developed machine framework based on wavelet scattering networks to analyze GPR for subsurface pipeline identification. Wavelet network is functionally equivalent convolutional neural...

The quality of the surrounding rock is crucial to stability underground caverns, thereby requiring an effective monitoring technology. Ground-penetrating radar (GPR) can reconstruct subterranean profile by electromagnetic waves, but two significant issues, called clutter and hyperbola tails, affect signal quality. We propose approach identify fractured rocks using 2D Wavelet transform (WT) F-K migration. migration handle Fourier analysis. WT mitigate clutter, distinguish discontinuity,...

We aimed to develop and validate multimodal ICU patient prognosis models that combine clinical parameters data chest X-ray (CXR) images. A total of 3798 subjects with CXR images were extracted from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database an external hospital (the test set). The primary outcome was 30-day mortality after admission. Automated machine learning (AutoML) convolutional neural networks (CNNs) used construct single-modal based on separately. An early...

<div class="section abstract"><div class="htmlview paragraph">A methodology for optimizing natural properties of a powertrain an electric vehicle has been presented. A model with six-degree-of-freedom was proposed utilizing ADAMS, and the frequencies energy distribution are estimated using model. The calculated shown that initial design mount stiffness does not meet requirements frequency decoupling ratio, vibration isolation standards. To overcome limitations conventional...

The commonly used cross-correlation technique for leak location requires that the acoustic speed is known and invariable. In practice, gas leakage-induced waves propagate along multiple paths including in-pipe pipe wall, in different transmission exhibit speeds dispersive behaviors, which bring a great challenge detection pipelines. this study, based on vibration theory of cylindrical elastic thin shell, wavenumber formulae are derived to predict acoustical coupling between wall analyzed...

In this paper, a new method is proposed to detect leaks in the presence of non-leak noise inside or outside pipeline. Due ability analyze coherent structure time series, autocorrelation function used describe self-similarity feature leak signal. The values for lag larger than correlation length signal, not signal itself entire function, are extract evaluate degree by approximate entropy. Based on extraction, detection related functions acquired signals built leak. Then neural-network...

The combined effect mechanism of electrode materials and Al2O3 nanoparticles on the insulating characteristics transformer oil was investigated. Impulse breakdown tests pure nano-modified varying concentrations with different (brass, aluminum stainless steel) showed that voltage is higher than there a an optimum concentration for when reaches maximum. In addition, highest brass electrode, followed by steel then aluminum, irrespective in oil. This explained charge injection patterns from...

Empirical mode decomposition (EMD) lacks a strong theoretical support although extensively applied. We propose framework for succinct EMD in this work, with the assumption of invariant extrema locations one IMF extraction. define envelope mean filter (EMF) and prove that matrix satisfies five properties. The sifting is convergent to an idempotent matrix. An projection input signal on generalized eigenspace EMF orthogonal residual signal, but different IMFs have no orthogonality. With...

The conventional leak location is based on the correlation of acoustic signals acquired spatially separately. By correlation, time lag estimated for localizing leakage. In these methods, detection distance a prerequisite that has to be known beforehand. However, in practice, this not always satisfied. case, correlation-based methods are feasible. Actually, contain characteristics related propagation channels; thus blind system identification strategy applied estimate transmission...

This paper reports three types of electrode materials (copper, aluminum, and stainless steel) that are used to measure the impulse breakdown voltage propylene carbonate. The carbonate with these is different in decreasing order steel, copper, aluminum. To explore how material affects insulating properties liquid dielectric, electric field distribution space charge under measured on basis a Kerr electro-optic test. injection ability highest for followed by then steel electrodes. Furthermore,...

Correlation techniques are widely used to locate leaks in buried water pipes. However, a distinct peak the cross-correlation of two spatially separately collected acoustic signals may result from non-leak source outside pipe. And not related real leak will false location. So it is necessary determine whether or exists beforehand. In this paper, new detection method using approximate entropy proposed discriminate signals. method, autocorrelation function values for delay τ larger than...

Propylene carbonate-based nanofluids with Al2O3 nanoparticles exhibit 26.42% higher negative impulse breakdown voltage levels than those of pure propylene carbonate. The Kerr effect electro-optic method has been used to measure the space charges and electric field distribution modified carbonate under voltage. Test results indicate significant inhibition charge transportation in nanofluids. fast free are captured by converted slow-charged particles nanofluids, which result uniform...

Accurate and automatic railhead inspection is crucial for the operational safety of railway systems. Deep learning on visual images effective in detection defects, but either intensive data requirements or ignoring defect sizes reduce its applicability. This paper developed a machine framework based wavelet scattering networks (WSNs) neural (NNs) identifying defects. WSNs are functionally equivalent to deep convolutional while containing no parameters, thus suitable non-intensive datasets....

Leaks in water pipelines can create many problems, such as financial loss, environmental pollution, and public health hazards. Previous scholars engineers have researched leak detection localization methods for water-filled pipe systems, which proven to be effective fault detection, even if under external noise. However, the performance of these techniques is unavoidably affected by noise from pipe, includes branch noise, has motivated researchers explore more high-performance technologies...

Laser Doppler Vibrometer (LDV) is extensively applied in remote and precise vibration measurements for structural monitoring. Speckle noise a severe signal issue restricting LDV applications, mainly when an scans from moving platforms. Realistic simulations thorough characterizations of speckle can support the despeckle procedure. A novel approach to numerically simulate proposed based on statistical properties patterns. Surface roughness other affecting factors are thoroughly studied. The...

The vibrational acoustic signals collected on pipelines contain substantial information concerning the working status of pipelines. They can be used for pinpointing leaks in buried However, because complexity signal composition and heavy corruption by ambient noises, it is essential to set up an appropriate model scheme analysis synthesis order extract leak signatures specify locations. In addition, features vary with materials, sizes conditions tubular pipes. It difficult pre-determine...

Abstract With increasing requirements for structural stability and durability, effective monitoring strategies existing potential damage are necessary. A laser Doppler vibrometer on moving platforms (LDVom) can remotely capture large-scale vibrations, but speckle noise, a significant signal issue mainly when one-way continuously scanning from platforms, restricts its applications. novel approach based ensemble empirical mode decomposition (EEMD) is proposed to eliminate noise. Moving...