Artificial Structure Research Articles

Phononic Band Gap and Free Vibration Analysis of Fluid-Conveying Pipes with Periodically Varying Cross-Section

Phononic crystals (PCs) are a novel class of artificial periodic structure, and their band gap (BG) attributes provide a new technical approach for vibration reduction in piping systems. In this paper, the vibration suppression performance and natural properties of fluid-conveying pipes with periodically varying cross-section are investigated. The flexural wave equation of substructure pipes is established based on the classical beam model and traveling wave property. The spectral element method (SEM) is developed for semi-analytical solutions, the accuracy of which is confirmed by comparison with the available literature and the widely used transfer matrix method (TMM). The BG distribution and frequency response of the periodic pipe are attained, and the natural frequencies and mode shapes are also obtained. The effects of some critical parameters are discussed. It is revealed that the BG of the present pipe system is fundamentally induced by the geometrical difference of the substructure cross-section, and it is also related to the substructure length and fluid–structure interaction (FSI). The number of cells does not contribute to the BG region, while it has significant effects on the amplitude attenuation, higher order natural frequencies and mode shapes. The impact of FSI is more evident for the pipes with smaller numbers of cells. Moreover, compared with the conventional TMM, the present SEM is demonstrated more effective for comprehensive analysis of BG characteristics and free vibration of PC dynamical structures.

Diversity of Benthic Organisms on Artificial Reef Structure

One of the methods of a marine rehabilitation program to accelerate the recovery of damaged coral reefs is to make artificial reefs as a new coral growth substrate. Interestingly, many benthic invertebrates overgrowth the artificial reef structures. The purpose of this study was to investigate the benthic organisms encrusting the artificial reefs including the cement and iron substrates. In June 2018, 10 artificial reef structures were deployed in 7-8m depth around Putri Island, Belinyu, Bangka Regency. The artificial reef structures were made in the form of an iron frame with a cement concrete weight. Colonization of sessile benthic organisms is generally marine invertebrates; Scleractinia corals, sponges, bivalves, hydrozoa, bryozoa, soft corals, gastropoda, crinoid, ascidian, and gorgonian. Natural recruited coral Pocillopora sp. was found in all artificial reef structures with colony sizes 3-8cm and surprisingly only coral pocillopora found adhered in iron frames and sinkers. The other benthic organisms are sponge, crinoid, and bryozoa with the number of densities are 2 organism/m2. Meanwhile, the lowest benthic density are groups of Mollusc and Ascidian with organism/m2. The type of succession that occurs in this research was likely a primary succession. The preference of benthic organisms among reefs appeared to be related to the proximity of natural hard-bottom habitat and type of iron and coating materials.

Artificial structures as biological “influencers”: Hydrozoa and Anthozoa diversity in a Colombian Caribbean Marina

The Puerto Velero Marina, located on the central Caribbean coast of Colombia, is an example of an artificial structure that serves as a substrate for a vulnerable community such as cnidarians (Hydrozoa and Anthozoa). This study provides the first assessment of corals and other cnidarians inhabiting artificial marine habitats in a marginal environment of the Caribbean of Colombia. The Puerto Velero Marina was built into a 7 km2 sand spit generated by sedimentation at the mouth of the Magdalena River. In this study were recorded 14 cnidarian species, among which were found 48 small colonies of scleractinian corals such as Porites, Siderastrea, Phyllangia, and Astrangia. This initial biodiversity assessment of the artificial structure provides a baseline that highlights the importance of further monitoring programs to identify non-native species that could reach this kind of hard structures.

Shape-programmable artificial cilia for microfluidics

SummaryThe artificial ciliary motion has been known not to be hydrodynamically optimal, limiting their associated applications in the microscale flow domain. One of the major hurdles of contemporary artificial cilia is its structural rigidity, which restricts their flexibility. To address this issue, this work proposed a shape-programmable artificial cilia design with distinctive polydimethylsiloxane (PDMS) and magnetic segments distributed throughout the structure, which provided precise control for time-spatial modulation of the whole artificial cilia structure under external magnetic actuation. For the fabrication of the proposed multi-segment artificial cilia, a facile microfabrication process with stepwise mold blocking followed by the PDMS and magnetic composite casting was adopted. The hydrodynamic analysis further elucidated that the proposed artificial cilia beating induced significant flow disturbance within the flow field, and the associated application was demonstrated through an efficient mixing operation.

Four-Year Temporal Study of an Intertidal Artificial Structure in the English Channel

An experimental artificial structure was deployed in March 2014 on the intertidal zone of the Bay of Seine (eastern part of the English Channel), at intervals of one year until April 2018, i.e., from February 2015 onwards, two blocks were collected in April each year. This study provides an inventory of sessile and motile invertebrates living on the artificial hard-bottom and describes the stages of colonization and succession during the four-year study. A total of 84 taxa were identified including 13 sessile and 71 motile taxa. For the sessile fauna, only two taxa Balanus crenatus and Mytilus edulis had colonised the blocks in 2014, and the Taxonomic Richness (TR) was relatively stable during the next three years (between 8 and 10 taxa). The TR of the motile fauna showed an increase between 2014 (5 taxa) and 2015 (34 taxa), and then decreased from 54 taxa in 2017 to 29 taxa in 2018. The abundance of the sessile fauna was very high in 2014 due to the rapid settlement of the barnacle Balanus crenatus, which remained the dominant species throughout the study. Another barnacle Perforatus perforatus, the blue mussel Mytilus edulis and three ascidians including two non-indigenous species Perophora japonica and Corella eumyota, and Molgula sp. were also among the dominant taxa of the sessile fauna. In April 2014, the dominant motile taxa was the decapod Carcinus maenas juvenile, then in 2015 the fauna became dominated by pioneer taxa such as the amphipod of the genus Monocorophium and the tanaid Zeuxo holdichi. A reduction of mean abundance was observed in the last three years of the study, combined with diversification of the dominant species especially those of small size such as Peracarida. The study shows that the colonization of such blocks deployed on oyster tables in the intertidal zone is efficient to test the ability of building material to be colonized in this transition zone.

Numerical Investigation of the Effectiveness of Vegetation-Embankment Hybrid Structures for Tsunami Mitigation Introduced after the 2011 Tsunami

As a mitigation measure against a tsunami inundation, vegetation-embankment hybrid structures received attention after the 2011 Great East Japan Tsunami, and some structures have already been constructed or are under construction in Japan. The present study conducted a series of numerical simulations using a hybrid system comprised of an artificial structure (an embankment, moat) and a natural component (vegetation) that was experimentally proposed in previous studies as an effective structure for tsunami mitigation. After validating the numerical model using published data, this study investigated differences in the performance of the hybrid system by changing the tsunami period and height characteristics of the tsunami-like surge-type flow. As a result, the delay in tsunami arrival time (ΔT) was not affected by the tsunami wave period for the investigated hybrid structures. Among the investigated structures, Case Ve40ME (where Ve40, M, and E represent vegetation, moat, and embankment, respectively, in that order from seaward) showed the maximum performance of ΔT. The reductions of overflow volume (ΔQ), fluid force index (RFI), and moment index (RMI) declined during the tsunami period. The tsunami mitigation effect is closely related to the relationship between the development times of backwater rise, hydraulic jump, and the tsunami period. Case Ve40ME was effective for ΔT, ΔQ, and RMI. Case EMVe40 was especially effective for RFI. When the tsunami period is short, the water level at the shoreline starts to decrease before full development of the hydraulic jump generated in the hybrid system. Thus, overflow volume to landward decreases, and the mitigation effects increase. When the tsunami period is long, the receding phenomenon at the peak water level does not affect the maximum values, thus the mitigation effects become smaller compared with the short period. However, the superiority to other structures is maintained in Case Ve40ME and Case EMVe40 with seaward vegetation and landward vegetation, respectively.

Processing of biomaterials for bone tissue engineering: State of the art

Bones are the functional tissue, to provide structural support, protect vital organs, store minerals, helps in multi-directional motion and bear load of our body. Fracture of bones, in which continuity of bone tissue breaks, which occurred due to trauma (high intensity impact) and over stressing are treated with help of bone implants. Bone implants are fabricated through biomaterials which are categorized as as: (a) first generation, (b) second generation and (c) third generation biomaterials. First generation implants are bioinert, second generation implants are biodegradable, bioinert and bioactive. Third generation implants focuses on stimulating specific cellular response at molecular level along with the properties of second generation. Bone tissue engineering (BTE) is responsive for the evolution of third generation implants, where the main focus is to create the environment which helps to stimulate the cell response in direction of bone regeneration. This aim is achieved with engineered tissue implant which includes: (a) scaffold for architectural support & cell homing, (b) osteogenic cells and (c) signaling growth factors. Tissues in human body are the 3D repeating unit cells also called as extra cellular matrix (ECM). Similarly scaffold is the artificial 3D porous structure of biomaterials (ceramics, metals and polymers) which mimic those 3D repeating unit cells or ECM. Scaffold is a backbone or fundamental unit of BTE. Success of scaffold decides the success of engineered bone tissue implant. This review summarizes the factor influencing BTE, factor involved in selection of material for scaffold fabrication and trending fabrication methods for BTE scaffolds.

Computer‐Aided Design of Metal Melt Filters: Geometric Modifications of Open‐Cell Foams, Effective Hydraulic Properties and Filtration Performance

The combination of additive manufacturing and replication technique enables the development of new ceramic foam filters (CFFs) for the filtration of metal melts based on computer‐generated templates. This article presents a numerical study on the sensitivity of filtration performance with respect to different geometric modifications, applied to an artificial monodisperse base structure. Three different geometric modifications are implemented, namely, elliptical elongation and flattening of the strut cross section with respect to the flow direction, additional finger‐like struts protruding into the pore cavity, and addition of deliberately closed windows. All modifications are implemented for overall porosities of 70–90%. The performance of the new structures is evaluated for continuous casting of aluminum by comparing the hydraulic tortuosity, the permeability, the Forchheimer coefficient, and the filtration coefficient, which are obtained from detailed pore‐scale simulations of the melt flow and inclusions transport using an Euler–Langrange approach. For the fast determination of the permeability coefficients, a novel and extremely simple model for the prediction of the Forchheimer coefficient is described. The investigation shows that geometric modifications to open‐cell foams potentially improve the filtration performance without significant decrease in filter porosity and can be considered as templates for the design of efficient CFFs.

Breathing Parylene-Based Nanothin Artificial SEI for Highly-Stable Long Life Three-Dimensional Silicon Lithium-Ion Batteries

Here, we present on the application and characterization of parylene layers of nanometric thickness as a highly efficient artificial elastic SEI layer for three-dimensional nano-silicon anodes. The simple deposition process of the parylene layers creates an extremely conformal layer, even on the most complex three-dimensional substrate geometries and can be easily controlled down to thicknesses of below 30nm with excellent uniformity. The parylene nanothin layers are shown to be extremely stable chemically, electrochemically and mechanically, while notably allowing the free diffusion of Li-ions into the Si underlying active layer. The elasticity of the organic parylene layer plays a key role in the applicability of parylene to act as an efficient artificial SEI structure, as it was shown to be capable to withstand the dramatic natural "breathing" effect of the underlying silicon nanostructures, without interruption to the active material volumetric changes, while partially preventing and slowing the formation of a secondary SEI layer. Combined with our unique, novel substrate which demonstrates a simple catalyst-free growth of highly electrically conductive Si-stainless steel composite anodes with high loadings of silicon nanostructures and binder-free nature, remarkable electrochemical results can be achieved. Electrochemical characterization reveals that the Parylene-F VT-4 nanolayer is superior to other parylene types, exhibiting more than 450 cycles with 75% capacitiy retention vs Li metal anode. Importantly, the parylene layer does not allow delamination and cracking of active Si material, as evident from the 95.5% capacity retention after 400 cycles at low C-rate. The unique combination of the parylene artificial SEI layer and highly conductive substrates allow for high C-rates (>2C) to be achieved with significant capacity retention. The parylene layer is shown to dramatically improve the anode cycle life compared to bare silicon-based anodes, while not limiting the active material loading degree achievable. Most importantly, parylene is shown to fulfill all the required properties of artificial SEI, including impeccable chemical stability in organic solvents, elasticity and mechanical stability, high adhesion to the silicon under-layer, lowering the SEI formation, ionically conductive and electrically insulating and cost-effective, scalable and simple fabrication. The simplicity, applicability and control of parylene deposition, along with its vast improvement of stability of bare silicon anodes, make it an excellent candidate for future applications as an efficient artificial SEI layer for next-generation silicon anodes and other active materials of interest. Figure 1

Theoretical and Numerical Analysis of Active Switching for Narrow-Band Thermal Emission with Graphene Ribbon Metasurface

Components smaller than the wavelength of electromagnetic waves are called meta-atoms. Thermal emission can be controlled by an artificial structure in which these meta-atoms are arranged on the surface. This artificial structure is called a metasurface, and its optical properties are determined by the materials and shapes of the meta-atoms. However, optical devices may require active control of thermal emission. In the present study, we theoretically and numerically analyze a wavelength-selective emitter using a graphene ribbon metasurface. The graphene ribbon metasurface consists of a graphene ribbon array, potassium bromide thin film, and silver substrate. The geometric parameters of the graphene metasurface are determined based on an equivalent circuit model that agrees well with the results of the electromagnetic field analysis (rigorous coupled-wave analysis). The proposed emitter causes impedance matching depending on the conductivity of the graphene ribbon in a very narrow wavelength range. The conductivity of graphene can be actively controlled by the gate voltage. Therefore, the proposed emitters may realize near-perfect emission with a high quality factor and active controllable switching for various wavelengths. In addition, the quality factor can be changed by adjusting the electron mobility of graphene. The proposed emitter can be used for optical devices such as thermophotovoltaic systems and biosensing.

Broadband and wide-angle metamaterial absorber based on the hybrid of spoof surface plasmonic polariton structure and resistive metasurface.

Electromagnetic (EM) wave absorber with broad and robust absorption performance over wide incident angle range is persistently desired in specific applications. In this work, we propose and demonstrate a broadband and wide-angle metamaterial absorber (MA) based on a hybrid of stereo spoof surface plasmonic polariton (SSPP) structure and planar resistive metasurface. At first, we design a broadband SSPP absorber by adjusting the dispersion and loss of the artificial plasmonic structure (PS) simultaneously. Furthermore, owing to utilize its spatial phase manipulation ability, we integrate a resistive metasurface on top of the PS to construct a modified circuit analog (CA) absorber with a dispersive metamaterial spacer. The absorption mechanism of the hybrid structure is analyzed theoretically. The results indicate that the hybrid MA is equipped with broad and robust absorption performance over a wide incident angle range due to the synergistic absorption of the PS and metasurface. Finally, a prototype of the hybrid MA is fabricated by silk-printing technic and its absorption performances are measured. The experimental results can verify the theoretic ones and indicate that proposed hybrid MA can achieve 90% absorptivity from 3.9 GHz to 10.6 GHz with thickness of 7.0 mm, which is only 106% times of the ultimate thickness corresponding to the absorption performance of MA. In general, the concept and design offer a distinct approach of utilizing SSPP to design absorbers with excellent performances from radio frequency to optic band, which are promising for extensive applications.

Heat control mechanism and productivity optimization of artificial fracture zone structure of dry hot rock in Gonghe Basin

Hydraulic fracturing is necessary to obtain geothermal energy from the hot dry rocks. The structure of the artificial fractures plays an important role in controlling the water and heat transport during the heat production. In this study, we analyzed the influence of the permeability and width of artificial fracture zone on the coupled heat and flow processes in the Gonghe Basin, China. The results showed that in the fractured reservoir with permeability lower than 5 D, the outflow temperature increases with the width of the fracture zones. This is because the injected cold water can sufficiently merge with the thermal water in the reservoir, and has a weak influence on the water temperature close to the extraction well. A special situation occurs in the horizontal reservoir with permeability higher than 10 D, where the outflow temperature decreases with the increase of fracture zone width, because the overall low temperature zone is increased due to the rapid diffusion of injected cold water. In the reservoir with horizontal fracture zone, outflow temperature decreases with the increase of the permeability, because the injected cold water easily arrives the production well. In contrast, in the vertical or tilted fracture reservoir, the outflow temperature increases with the permeability, because the free convection occurs strongly in the high-permeable reservoirs. A synthetic comparison suggested that under the same well distance, heat production is higher in the reservoirs with low-permeable horizontal fracture zone and with high-permeable vertical fracture zone, among other fracture zones.

Neural network model of the multi-mode anomalous transport module for accelerated transport simulations

A neural network version of the multi-mode anomalous transport module, known as MMMnet, has been developed to calculate plasma turbulent diffusivities in DIII-D with a calculation time suitable for control applications. MMMnet uses a simple artificial neural network structure to predict the ion thermal, electron thermal, and toroidal momentum diffusivities while reproducing Multi-Mode Model (MMM) data with good accuracy and keeping the calculation time as a fraction of that associated with MMM. Model-based control techniques require models with fast calculation times, making many existing physics-oriented predictive codes unsuitable. The control-oriented predictive code Control Oriented Transport Simulator (COTSIM) calculates the most significant plasma dynamics in response to the different actuators while running at a speed useful for control design. In order to achieve this calculation speed, COTSIM often relies on scaling laws and control-level models. Replacing some of these scaling laws and control-level models with neural network versions of more complex physics-level models has the potential of increasing the range of validity and the level of accuracy of COTSIM without compromising its computational speed. In this work, MMMnet is integrated into COTSIM to improve the turbulent diffusivity predictions, which will in turn improve the prediction accuracy associated with the dynamics of many plasma properties.

Spatial Heterogeneity and Driving Factors of Soil Moisture in Alpine Desert Using the Geographical Detector Method

Soil moisture is a vital factor affecting the hydrological cycle and the evolution of soil and geomorphology, determining the formation and development of the vegetation ecosystem. The previous studies mainly focused on the effects of different land use patterns and vegetation types on soil hydrological changes worldwide. However, the spatial heterogeneity and driving factors of soil gravimetric water content in alpine regions are seldom studied. On the basis of soil sample collection, combined with geostatistical analysis and the geographical detector method, this study examines the spatial heterogeneity and driving factors of soil gravimetric water content in the typical alpine valley desert of the Qinghai–Tibet Plateau. Results show that the average value of soil gravimetric water content at different depths ranges from 3.68% to 7.84%. The optimal theoretical models of soil gravimetric water content in 0–50 cm layers of the dune are different. The nugget coefficient shows that the soil gravimetric water content in the dune has a strong spatial correlation at different depths, and the range of the optimal theoretical model of semi-variance function is 31.23–63.38 m, which is much larger than the 15 m spacing used for sampling. The ranking of the influence of each evaluation factor on the alpine dune is elevation > slope > location > vegetation > aspect. The interaction detection of factors indicates that an interaction exists among evaluation factors, and no factors are independent of one another. In each soil layer of 0–50 cm, the interaction among evaluation factors has a two-factor enhancement and a nonlinear enhancement effect on soil gravimetric water content. This study contributes to the understanding of spatial heterogeneity and driving factors of soil moisture in alpine deserts, and guidance of artificial vegetation restoration and soil structure analysis of different desert types in alpine cold desert regions.

Nonlinear vibration analysis of a pyramid lattice sandwich plate in subsonic airflow

The lattice sandwich structure is a new type of artificial structure developed in recent years. It is light in weight and rigid in stiffness, which is naturally suitable for the aviation engineering. This article deals with the subsonic aerodynamic stability and nonlinear forced vibration properties of this particular structure, which exactly describes the application of this structure as the outer surfaces of the aircraft. In this article, the coupled equation of motion of the lattice sandwich plate interacting with subsonic external airflow is established based on the nonlinear plate theory and the linear potential flow theory. The stability of the system is analyzed by monitoring the variations of the natural frequencies of the system with different flow velocities. The steady state responses of the structure are analyzed by using the incremental harmonic balance method. The effects of the design parameters of the lattice sandwich plate on the nonlinear responses of the system are discussed. Based on the theoretical and numerical analysis, some suggestions for the optimal design of the lattice sandwich plate in aerodynamic environment are proposed.

C-shaped antenna based artificial magnetic conductor structure for wearable IoT healthcare devices

A wearable C-shaped antenna based on a fabric material operating at 2.4 GHz frequency is proposed for use in flexible/wearable IoT medical systems. The wearable IoT device plays a key role in medical applications, and the antenna is a key part of it. Loading the presented antenna on the body models showed a frequency detuned with the gain and efficiency reduced from 1. 28 to −9 dB and 90% to 10%. In addition, the SAR did not meet the safety health requirement defined by the FCC or ICNIRP standards. Therefore, an “Artificial Magnetic Conductor” structure (AMC) is added to the C-shaped antenna to overcome these problems. The AMC acts as shielding material between the human skin and the presented antenna because of its 0° reflection phase, which mimics the action of the Perfect Magnetic Conductor (PMC). The overall size of the proposed design was 54 × 54 × 3.9 mm3. Numerical and experimental findings indicated that integrating the AMC structures with a C-shaped antenna was robust for body deformation and load. The C-shaped antenna worked equally well with the AMC, whether positioned in free space or on the chest or the arm of the human body. The integrated antenna with AMC structures has excellent performances. The gain and efficiency without loading on the chest were 6.49 dB and 84%, respectively. While for loaded on the chest were 6.21 dB and 81%, respectively. It also decreased the back radiation and raised the Front to Back Ration (FBR) by 13.8 dB. SAR levels have been reduced by more than 90% between the FCC and ICNIRP standards compared to the C-shaped antenna alone, which does not comply with the standards. As a result, the C-shaped integration with AMC structures is highly suitable for assembly in any wearable system.Supplementary InformationThe online version contains supplementary material available at 10.1007/s11276-021-02770-4.

Effects of the Nasal Cavity Complexity on the Pharyngeal Airway Fluid Mechanics: A Computational Study.

The impact of the human nasal airway complexity on the pharyngeal airway fluid mechanics is investigated at inspiration. It is the aim to find a suitable degree of geometrical reduction that allows for an efficient segmentation of the human airways from cone-beam computed tomography images. The flow physics is simulated by a lattice Boltzmann method on high-performance computers. For two patients, the flow field through the complete upper airway is compared to results obtained from three surface variants with continuously decreasing complexity. The most complex reduced airway model includes the middle and inferior turbinates, while the moderate model only features the inferior turbinates. In the simplest model, a pipe-like artificial structure is attached to the airway. For each model, the averaged pressure is computed at different cross sections. Furthermore, the flow fields are investigated by means of averaged velocity magnitudes, in-plane velocity vectors, and streamlines. By analyzing the averaged pressure loss from the nostrils to each cross section, it is found that only the most complex reduced models are capable of approximating the pressure distribution from the original geometries. In the moderate models, the geometry reductions lead to overpredictions of the pressure loss in the pharynx. Attaching a pipe-like structure leads to a higher deceleration of the incoming flow and underpredicted pressure losses and velocities, especially in the upper part of the pharynx. Dean-like vortices are observed in the moderate and pipe-like models, since their shape comes close to a [Formula: see text]-bend elbow pipe.

Coastal armouring affects intertidal biodiversity across the Alboran Sea (Western Mediterranean Sea)

Intertidal ecosystems are key habitats that are being replaced by artificial hard substrates due to the increment of human activities in coastal areas. These new substrates host generally less biodiversity mainly due to differences in complexity and composition. This is a global phenomenon and has led to the development of strategies in the framework of eco-engineering. However, mitigating measures, such as new eco-designs, must cope with the high spatial variability of the region where they are applied. Therefore, in order to assess if differences in biodiversity detected at local scales in previous studies could be scaled up to predict patterns at a wider scale, we studied taxa richness and taxonomic structure of intertidal communities across the Alboran Sea (western Mediterranean Sea). We compared four different types of artificial substrates (cubes, rip-raps, seawalls and tetrapods) to assess which produces less impact. Overall, artificial substrates host low benthic biodiversity, specially on seawalls, whereas boulder-like artificial structures such as rip-raps were more similar to natural ones. Nevertheless, the effect of a particular type of artificial structure at a regional scale seems unpredictable, highlighting the challenge that eco-engineering measures face in order to establish global protocols for biodiversity enhancement and the importance of local scale in management programmes.

Encoding Spectral-Spatial Features for Hyperspectral Image Classification in the Satellite Internet of Things System

Hyperspectral image classification is essential for satellite Internet of Things (IoT) to build a large scale land-cover surveillance system. After acquiring real-time land-cover information, the edge of the network transmits all the hyperspectral images by satellites with low-latency and high-efficiency to the cloud computing center, which are provided by satellite IoT. A gigantic amount of remote sensing data bring challenges to the storage and processing capacity of traditional satellite systems. When hyperspectral images are used in annotation of land-cover application, data dimension reduction for classifier efficiency often leads to the decrease of classifier accuracy, especially the region to be annotated consists of natural landform and artificial structure. This paper proposes encoding spectral-spatial features for hyperspectral image classification in the satellite Internet of Things system to extract features effectively, namely attribute profile stacked autoencoder (AP-SAE). Firstly, extended morphology attribute profiles EMAP is used to obtain spatial features of different attribute scales. Secondly, AP-SAE is used to extract spectral features with similar spatial attributes. In this stage the program can learn feature mappings, on which the pixels from the same land-cover class are mapped as closely as possible and the pixels from different land-cover categories are separated by a large margin. Finally, the program trains an effective classifier by using the network of the AP-SAE. Experimental results on three widely-used hyperspectral image (HSI) datasets and comprehensive comparisons with existing methods demonstrate that our proposed method can be used effectively in hyperspectral image classification.

Resource planning of the railway facilities construction technological process with the use of an artificial neural network

The article is dedicated to theoretical and practical research in the resource planning field for the railway facilities’ construction technological process using artificial neural networks. The study is a part of the subsystem in the development of railway construction engineering and technical maintenance — engineering and technical maintenance of railway facilities construction technological process. The subsystem is based on the effective automated systems use with elements of artificial intelligence. This is caused by deviations occurrence from the target requirements during the technological process implementation, due to the railway construction stochasticity, and the need for a prompt revision of the already made decisions. The existing methods allow us to correct the construction work organization, however, the technology remains unchanged, which is dictated by the design documentation and the work safety requirements. To give technological process flexibility in order to adapt to work changing conditions, it is necessary to provide an operational solution to the resource planning problem. The existing resource planning methods peculiarities, the current problem dimension, and the need to take into account a number of restrictions allow us to use artificial intelligence tools. In this regard, a methodology and a railway facilities construction technological process resource planning (labor, technical) computational-logical model with the artificial neural network use were developed. This approach is based on the lack of precise algorithmic actions or rules that can provide the desired result without formal complications. Also, the author has developed a special software module, prepared a data sample, an artificial neural network topological structure, and implemented an algorithm for its training, configuration, and testing. Based on the theoretical research and software module application results, the article presents the practical aspects of resource planning for the railway roadbed flooded embankment erection technological process.