Accessibility is a major method for evaluating the distribution of service facilities and identifying areas in shortage service. Traditional accessibility methods, however, are largely model-based do not consider actual utilization services, which may lead to results that different from those obtained when people's behaviors taken into account. Based on taxi GPS trajectory data, this paper proposed novel integrated catchment area (ICA) integrates human travel behavior evaluate healthcare...

Abstract Gold deposits in Jiaodong, termed Jiaodong‐type, are tectonically located the southeastern margin of North China Craton. Their major features reviewed this paper to highlight differences between Jiaodong and other genetic types gold deposits. The mineralization was synchronized with asthenosphere upwelling indicated by syn‐ore OIB‐like mafic dike large‐scale crustal thinning suggested decrease Sr/Y from pre‐ore granites. Asthenosphere induced roll‐back Paleo‐Pacific Plate drove...

Rolling element bearings are one of the main elements in rotating machines, whose failure may lead to a fatal breakdown and significant economic losses. Conventional vibration-based diagnostic methods based on stationary assumption, thus they not applicable diagnosis working under varying speeds. This constraint limits bearing industrial application significantly. A hybrid approach fault roller variable speed conditions is proposed this work, computed order tracking (COT) variational mode...

VANET (Vehicular Ad hoc Network) is a special kind of ad network in which each vehicle regarded as communication unit, has attracted lots attention recent years. Vehicle's movement restricted by road and environment VANET, while traditional random mobility model way-point can't reflect the realistic traces. How to evaluate wireless routing protocol based on real dynamic traces? In this paper, we have studied methods between traffic simulator SUMO(Simulation Urban Mobility) NS3. By...

In recent years, the stock market plays an important role, which has attracted more and attentions. The key problem of prediction is how to design a method improve performance. As we know, biggest challenge that time series essentially dynamic, nonlinear, complicated, nonparametric chaotic. this paper, propose novel predict closing price based on deep belief networks (DBNs) with intrinsic plasticity. experiments, in S&P 500 used examine back propagation algorithm for output training make...

This paper presents an efficient and reliable inversion methodology for microwave imaging based on improved evolution strategy. The proposed non-parametric mutation process, adaptive tradeoff between convergence speed solution quality during iterations, flexible hybridization strategy, non-revisiting property are demonstrated to have excellent performance solving inverse problems with expensive computational evaluations. numerical results comparisons other well developed algorithms as...

Differential Evolution (DE) algorithm is simple and effective. Since DE has been proposed, it widely used to solve various complex optimization problems. To further exploit the advantages of DE, we propose a new variant termed as ranking-based differential evolution (RDE), by performing ranking on population. Progressively better individuals in population are for mutation operation, thus improving algorithm's exploitation exploration capability. Experimental results number benchmark...

Abstract Non‐equilibrium kinetic intermediates are usually preferentially generated instead of thermodynamic stable phases in the solid‐state synthesis layered oxides. Understanding inherent complexity between thermodynamics and kinetics is important for designing high cationic ordering cathodes. Single‐crystal strategy an effective way to solve intrinsic chemo‐mechanical problems Ni‐rich However, high‐performance single‐crystal very challenging. Herein, reaction path formation mechanism...

In this paper, a new topological design of permanent magnet (PM) motor with Halbach is introduced and investigated. Based on PM configuration, five typical types arrangements are being considered by setting different combinations parameters during the optimization process. To better evaluate performance motors, novel approach for based an improved Tabu search algorithm finite element method proposed. The improvements include introduction list binary space partitioning tree, solution density...

In this paper, we present two deterministic weighted scale-free networks controlled by a weight parameter [Formula: see text]. One is fractal network, the other one non-fractal while they have same distribution when text] identical. Based on their special network structure, study random walks with trap located at fixed node. For each calculate exact solutions for average trapping time (ATT). Analyzing and comparing obtained solutions, find that ATT all grow asymptotically as power-law...

The safety condition of vehicles passing on long‐span bridges has attracted more and attention in recent years. Many research studies have been done to find convenience efficiency measures. A vehicle evaluation model a bridge is presented this paper based fully connected neural network (FCN). first step investigate the responses with wind excitation by using tunnel test finite element model. Subsequently, typical models are given vehicle‐bridge system established considering weather...

The working environment of rotating machines is complex, and their key components are prone to failure. early fault diagnosis rolling bearings great significance; however, extracting the single scale feature weak not enough fully characterize information a signal. Therefore, aiming at problem that in complex important parameters Variational Modal Decomposition (VMD) depend on engineering experience, extraction method based combination Adaptive (AVMD) optimized Multiscale Fuzzy Entropy (MFE)...

Recent research reveals that single neuron with flexible dendritic plasticity can perform computation and information processing. Several models have been proposed achieving great success in various applications. All previous use error back-propagation (BP) training method to adjust weights thresholds the model. Due inherent local search properties of BP, their performance usually suffers from optima problem. In this paper, we propose a biogeography-based optimization train Experiment is...

The main purpose of the research on map emotional semantics is to describe and express responses caused by people observing images through computer technology. Nowadays, application scenarios tend be diversified, increasing demand for information users bring new challenges cartography. However, lack evaluation emotions in traditional drawing process makes it difficult resulting maps reach resonance with users. core solving this problem quantify maps, can help mapmakers better understand...

Routing protocols in Vehicular Ad hoc Network (VANET) have drawn lots of attention recent years, most existing research efforts focus on designing IP-based protocols. In this paper, we present a new routing protocol for VANET based Named Data (NDN). We optimize the path by using distance metric protocol, avoiding shortcomings hop-count metric. Moreover, use incremental broadcast and adaptive strategy according to vehicle density. experiment part, construct virtual urban scenario V-City...

Big Data is impacting and changing the way we live, its core lies in use of machine learning to extract valuable information from huge amounts data. Optimization problems are a common problem many steps learning. In face complex optimization problems, evolutionary computation has shown advantages over traditional methods. Therefore, researchers working on improving performance algorithms for solving various The equilibrium optimizer (EO) member inspired by mass balance model environmental...

Time series prediction problems are very important not only because its practical values but also owing to theoretical relations with other fundamental scientific issues. Many forecasting models have been proposed deal this problem, among which those sophisticated too complex and time-consuming for simple, especially linear problems. Thus, in paper we propose a flexible methodology by combining dendritic neuron model statistical test, where the former is used perform time latter devoted...