This paper proposes an integrated lane-change trajectory planning method for advanced driver assistance system of connected and automated vehicles. First, the time-based quintic polynomial model is presented, which could adjust longitudinal lateral velocity simultaneously. By tuning duration displacement in model, reference trajectories satisfying demands safety, duration, travel distance, comfort were derived under traffic-free condition. All feasible compose a map, includes different...

Failure mode and effects analysis (FMEA) has been extensively used in reliability engineering domain. Risk priority number (RPN), defined as the product of occurrence ( O ), severity S detection D ) a failure, is most important measure FMEA for prioritizing risk. In this paper, new evidential using linguistic term presented. First, terms have applied form assessment distribution, which enables experts to express their assessments more realistic way hence improving applicability FMEA. Second,...

The selection of effective singular values using the value decomposition (SVD) method has always been a hot topic. In this paper, we found that there was special relationship between and feature frequency components. Theoretical derivations illustrated each component produced two adjacent nonzero with one ranking another closely. Size directly proportional to amplitude frequency. number only related For these discoveries, novel separation based on SVD proposed, through which axis orbits...

Vibration‐based diagnosis has been employed as a powerful tool in maintaining the operating efficiency and safety for large rotating machinery. However, extraction of malfunction features is not accurate enough by using traditional vibration signal processing techniques, owing to their intrinsic shortcomings. In this paper, relationship between effective eigenvalues frequency components was investigated, new characteristic separation method based on PCA (CFSM‐PCA) proposed. Certain feature...

In the context of sustainability goals organizations, there is a dilemma regarding enhancing healthcare workers’ career commitment and wellbeing, especially during COVID-19 crisis. This study focuses on underlying mechanism in relationship between supervisory support employee wellbeing. Drawing upon motivation perspective, we investigate mediating role moderating effect future work self-salience (FWSS) this relationship. Two-wave data were collected from sample 213 full-time workers three...

In WiFi-based indoor positioning technology, the stability of RSSI (Received Signal Strength Indication)is very critical. Based on analyzing statistical characteristics WiFi signal strength, truth that does not obey normal distribution is proved, which provides instructions for construction stochastic model filtering. By integrating Friis transmission equation and kinematic into robust kalman filter method, we can reach target smoothing signal, ensure accuracy from source. According to...

We investigate the evolution of two-dimensional solitons in PT-symmetric optical lattices with defocusing nonlocal nonlinearity. discuss existence 2D fundamental solitons, and we numerically stimulate propagation these lattice. also how different degrees nonlocality can affect discover that have significant impacts on formation solitons. In addition, find PT-symmetry lead to fission shifting this phenomenon is affected by degree nonlocality.

A novel type of neural dynamics, which is named Zhang dynamics (ZD), has been proposed by et al. since 2001. Such a ZD, based on an indefinite function (ZF), designed for online solution various time-varying problems. As the design basis ZF introduced as error monitoring-and-control in procedure, and quite different from norm-based positive-definite energy usually associated with gradient-based (GD). In this paper, ZD method extended exploited complex reciprocals first time. Then, ZFs are...

Time-frequency peak filtering (TFPF) is a classical method in time-frequency domain. There pair of contradiction this method, which effects the TFPF results. In order to improve effectiveness TFPF, we adopt empirical wavelet transform (EWT). It first time that EWT applied analyzing multichannel seismic data for purpose denoising. We know adaptive representation signal very important processing. new decomposition technique, similar mode but has fully mathematical theory. The idea utilize...

Abstract Time series similarity search has been widely used in many applications, such as financial data analysis, meteorological forecasting, and multimedia retrieval. The original task of this research was to find time a database similar the query sequence, where both results sequence are static. However, along with arrival Industry 4.0 era, large number detecting instruments various fields have produced amount stream data. new challenges for Similarity-based retrieval can be attributed...

We report the existence and stability of multi-peak gap solitons in PT-symmetric optical lattice with real part refractive index form superlattice imaginary having two different profiles; one odd periodic second supported by a defocusing nonlinearity. Linear-stability spectra analysis simulation results show that they can be stable scope first gap. The profile power-flow vector is found to from those cycle lattice.

Particle systems are an effective way for visualizing ldquofuzzyrdquo objects in a variety of context and the simulation flame spreading is very useful combustion research ceramic roller kiln. This paper has presented visual model particle system simulating flame, introduced turbulent flow which can impact spreading. According to this model, spreading, turbulence temperature field kiln were simulated, it better understand To strengthen effect three-dimensional simulation, mechanism collision...

As the most basic component of rotating machinery, rolling bearing frequently works in harsh environments and complex working conditions, its health status affects seriously efficiency. The statuses can not only reduce equipment maintenance costs but also contribute to reducing major accidents. Based on this, an adaptive diagnosis method that combines deep gated recurrent unit (DGRU) with wavelet packet decomposition (WPD) extreme learning machine (ELM) is proposed for bearing. Firstly, WPD...

Abstract A novel absorber, which is equivalent to a spring and damper, developed the corresponding formulae of stiffness coefficient damping are derived. The key component absorber circular array multi‐section U‐shaped piezoelectric coupled beams (MUPCBs) can alleviate harmful vibration various devices by converting energy into electrical energy. As an example, used in quarter vehicle suspension system, its properties harvesting attenuation studied using computational model dual‐mass...

Pattern recognition system is frequently applied in many security applications, for example, intrusion detection, face recognition, spam mail filtering, etc. These applications may potentially different kinds of attacks from an adversary. Some studies showed Multiple Classifier Systems (MCSs) more robust than single classifiers under adversarial attack. This paper investigates the robustness multiple classifier systems using fusions continuous-valued outputs on application with Boolean...

This paper combines the fault feature extraction and intelligent diagnosis of rolling bearings, proposes a model that 2D images with convolutional neural network (CNN) long short memory (LSTM), optimizes parameters. The different signals bearings are processed, processing capabilities short-time Fourier, Wigner Ville distribution wavelet transform for bearing studied compared. Softmax function is used to realize multi pattern recognition complete diagnosis. experimental results show...