Research on liveable cities has received increased attention in recent years because of the complexity and diversity liveability standards. Evaluating environment is a multiple criteria decision-making (MCDM) problem, results can be used to control environmental pollution protect human health. However, different evaluation methods lead results; hence, determining how effectively obtain consistent main consideration this study. The objective work design an optimal method based difference...

Water pollution is a worldwide problem that needs to be solved urgently and has significant impact on the efficiency of sustainable cities. The evaluation water Multiple Criteria Decision-Making (MCDM) using MCDM model can help control protect human health. However, different methods may obtain results. How effectively coordinate them consensus result main aim this work. purpose article develop an ensemble learning method based concept quality policy-makers better evaluate surface quality. A...

In this study, we proposed a novel refractive index sensor structure, comprising metal-insulator-metal (MIM) waveguide and circular ring containing disk-shaped cavity (CRDC). The finite element method was used to theoretically analyze the characteristics. simulation results showed that is key asymmetric Fano resonance, radius of CRDC has significant influence on performance sensor. A maximum sensitivity figure merit (FOM) 2240 nm/RIU 62.5, respectively, were realized. Additionally, exhibits...

Disease classification based on machine learning has become a crucial research topic in the fields of genetics and molecular biology. Generally, disease involves supervised style; i.e., it requires large number labelled samples to achieve good performance. However, majority cases, are hard obtain, so amount training data limited. many unclassified (unlabelled) sequences have been deposited public databases, which may help procedure. This method is called semi-supervised very useful...

A high-property plasma resonance-sensor structure consisting of two metal-insulator-metal (MIM) waveguides coupled with a transverse ladder-shaped nano-cavity (TLSNC) is designed based on surface plasmon polaritons. Its transmission characteristics are analyzed using multimode interference coupling mode theory (MICMT), and simulated finite element analysis (FEA). Meanwhile, the influence different structural arguments performance investigated. This study shows that system presents four...

Shanxi Province is a typical resource-based region. After years of economic transformation, the air quality has been at low level for long time. The rationalization industrial structure can measure effect transformation and whether it an important impact on quality. Therefore, necessary to study non-linear that had different stages, which positive significance continuing upgrading regions. This constructs threshold regression model based panel data 11 provincial cities in from 2004 2016....

In this paper, a new refractive index sensor based on Fano resonance is introduced. It mainly composed of two parts: metal–insulator–metal as base waveguide and an annular resonant cavity with double notch convex circle coupling structure. The sensing characteristics the design are investigated via finite element calculations. influence remaining structure parameters system’s performance relationship between wavelength corresponding to trough also investigated. Furthermore, applied sensors,...

In recent years, tumor classification based on the gene expression omnibus has become a continuous attention field in area of bioinformatics. Integration machine learning techniques are an efficient methods to solve these problems. Generally, order obtain good performance supervised tasks, large number labelled samples will be required. However, many cases, only few and abundant unlabelled exist training database. The process labelling manually is difficult expensive. Therefore,...

A metal-insulator-metal (MIM)-based arc-shaped resonator coupled with a rectangular stub (MARS) structure is proposed. This can generate two tunable Fano resonances originating from different mechanisms. The has the advantage of being sensitive to refractive index, and this feature makes it favorable for application in various microsensors. relationship between structural parameters resonance researched using finite element method (FEM) based on software COMSOL Multiphysics 5.4. simulation...

Here in, a tunable nano refractive index sensor structure consisting of metal-insulator-metal (MIM) waveguide with metal stub coupled protractor type half ring cavity (PTHRC) is designed based on surface plasmon polaritons. The propagation characteristics the plasmonic system analyzed by using finite element method (FEM). sharp asymmetric Fano resonance in transmission spectrum generated interaction between narrow discrete mode PTHRC and wide continuous waveguide, which demonstrated...

We used feedforward neural networks (NNs) to approximate highly nonlinear real-valued functions for an industrial application-the mappings between automobile engine control variables and performance parameters. Back-propagation (BP) was applied training the networks. Our experiments showed that with same input output layers, transfer function in hidden layer(s), total number of nodes, four-layered more nodes first layer than second out-performed three-layered network (i.e., one a single...

At present, the economic development in Hubei Province has initially entered new era of "one principal two deputy, multi-polar development".In order to further explore future urban development, we ranked prefecture cities Provinces with intensity model central place function.Meanwhile, according 32 selected indicators, investigated linkage between these improved gravity and component analysis model.Our results show that: 1) Regarding value city z = 2, 0.9, 0.6 as boundary, 12 can be divided...

We utilized the heuristic knowledge gained from a vast number of experiments on using feedforward neural networks (FNNs) to approximate highly nonlinear real-valued functions and developed program for automatic search FNNs based evolutionary computation techniques, called PASS (program structure search). has been successfully tested in an industrial application-finding mappings between automobile engine control variables performance parameters. It shown promise be general efficient tool...

<p style='text-indent:20px;'>Chebyshev criterion is a powerful tool in the study of limit cycle bifurcations dynamical systems based on Abelian integrals, but it difficult when integrals involve parameters. In this paper, we consider periodic annuli Hamiltonian with one parameter, arising from generalized Liénard system, and identify parameter values such that have Chebyshev property. particular, bounds number zeros are derived for different intervals. The main mathematical tools...

In this work, a refractive index sensor structure is proposed, which consists of the metal-insulator-metal (MIM) waveguide coupling with an square ring resonator baffle (SSRB). Its sensing characteristics are analyzed by finite element analysis method. SRRB acts as discrete state required to generate Fano resonance. When its effective side length increases, sensitivity will be improved, but it bring loss parameters such FOM and transmittance. The position height also have certain impact on...

With the continuous development of sensors and progress detection technology, optical based on SPPs are expected to have an excellent prospects in field sensing. Herein, a novel refractive index sensor is presented, which consists metal-insulator-metal (MIM) waveguide with two rectangular baffles circular ring cavity stub (CRCS). The characteristics analyzed theoretically by finite element method. simulation results showed that narrow-band modes directly excited CRCS resonator interfere...

Optical sensors have many advantages such as anti-electromagnetic interference, fast response speed and low power consumption. However, the optical sensor cannot be further integrated due to existence of diffraction limit. SPPs can overcome limit manipulate signal in subwavelength range, realizing miniaturization devices at nanometer level. In this work, we presented an innovative structure, which consists a Window -Shaped Ring Resonator (WSRR) metal-insulator-metal (MIM) waveguide. The...

Summary form only given. We studied the problem of using feedforward neural networks (FNNs) to approximate unknown real-valued functions in an industrial application-the mappings between automobile engine control variables and performance parameters gained heuristic knowledge about network structures from a vast number experiments. Incorporating such knowledge, we developed program for automatic search optimal FNNs based on evolutionary computation techniques, called PASS (Program Automatic...