Effective Way For Design Research Articles

Ln2 F2 (OH2 )(MoO3 )2 (SeO3 )2 : Promising Multifunctional Nonlinear Optical Materials Created by Partial Fluorination Strategy under Corrosion Resistant Supercritical Reactions.

It has historically been exceedingly challenging to create physically and chemically stable lanthanide compounds with strong second harmonic generation (SHG) due to their strong preference to central symmetry. In this work, five new non-centrosymmetric lanthanide selenites, namely, Ln2 F2 (OH2 )(MoO3 )2 (SeO3 )2 (Ln = Sm, Eu, Gd, Tb and Dy), are achieved by partial fluorination of the lanthanide oxygen polyhedron. An HF corrosion resistant supercritical hydrothermal method is developed, which is a facile and universal method for HF corrosion and high-temperature high-pressure environment. The title compounds displayed a novel 3D framework composed of 1D molybdenum selenite chains bridged by Ln2 F2 O12 (OH2 ) dimers. Their powder SHG responses showed a large difference, ranging from 1.0 to 9.0 × KH2 PO4 (KDP) at 1064nm. The half-filled Gd compound exhibited very strong SHG efficiency of up to 1.2 × KTP (KTiOPO4 ) at 2050nm. Compounds Tb and Gd are the first lanthanide selenites with SHG intensity reaching KTP level, which is very rare in this system. Furthermore, these compounds can also possess excellent physicochemical stability and strong luminescence emission, indicating that they are promising multifunctional nonlinear optical materials. This work offered an effective way for design and synthesis of multifunctional and high-performant nonlinear optical materials.

Demonstration of a photonic router via quantum walks

Motivated by the need for quantum computers to communicate between multiple, well separated qubits, we introduce the task of routing the quantum state from one input mode to a superposition of several output modes coherently. We report an experimental demonstration of a deterministic photonic routing protocol applied to an entangled state. We show in a quantum walk architecture, quantum networks perfectly route entangled states from an initial input mode to an arbitrary output mode coherently and deterministically. Our results demonstrate the key principle of a perfect router, opening a route toward data routing and transferring for quantum computing systems. The routing algorithm in our work can be applied to a wide range of physical systems, which provides a way for effective design of efficient routing protocols on practical quantum networks.

Bald eagle search optimization with deep transfer learning enabled age-invariant face recognition model

Facial aging variation is a challenging process in the design of face recognition system because of high intra-personal differences instigated by age progression. Age-invariant face recognition (AIFR) models find applicability in several real time applications such as criminal identification, missing person detection, and so on. The main issue is the high intra-personal disparities because of complicated and non-linear age progression process. An essential component of face recognition model is the extraction of important features from the facial images for reducing intrapersonal differences produced by illumination, expression, pose, age, etc. The recent advances of machine learning (ML) and deep learning (DL) models pave a way for effective design of AIFR models. In this view, this study presents a new Bald Eagle Search Optimization with Deep Transfer Learning Enabled AFIR (BESDTL-AIFR) model. The presented BESDTL-AIFR model primarily pre-processes the facial images to enhance the quality. Besides, the BESDTL-AIFR model utilizes Inception v3 model for learning high level deep features. Next, these features are passed into the optimal deep belief network (DBN) model for face recognition. Finally, the hyperparameters of the DBN model are optimally chosen by the use of BES algorithm. Experimentation analysis on challenging benchmark datasets pointed out the promising outcomes of the BESDTL-AIFR model compared to recent approaches. • Develop a deep learning based Age-Invariant Face Recognition model. • Employ Inception v3 feature extractor with DBN classification model. • Present bald eagle search optimization based hyperparameter tuning process. • Validate the performance of BESDTL-AIFR model on UTKFace and CACD dataset.

Stretchable and Transparent Electrochemical Sensor Based on Nanostructured Au on Carbon Nanotube Networks for Real-Time Analysis of H2O2 Release from Cells.

Various electrochemical biosensors have been developed for direct and real-time recording of biomolecules released from living cells. However, since these traditional electrodes are commonly rigid and nonflexible, in situ monitoring of biochemical signals while cell deformation occurs remains a great challenge. Herein, we report a facile approach for the development of a stretchable and transparent electrochemical cell-sensing platform based on Au nanostructures (nano-Au) and carbon nanotube (CNT) films embedded in PDMS (nano-Au/CNTs/PDMS). The sandwich-like nanostructured network of nano-Au/CNTs endows the sensor with excellent mechanical stability and electrochemical performance. The obtained nano-Au/CNTs/PDMS electrode displays desired performance for H2O2 detection with a wide linear range (20 nM-25.8 μM) and low detection limit (8 nM). Owing to good biocompatibility and flexibility, HeLa and human umbilical vein endothelial cells can be directly cultured on the electrode and real-time monitoring of H2O2 release from cells under their stretched state was realized. The proposed strategy demonstrated in this work provides an effective way for design of stretchable sensors and more opportunities for sensing biomolecules from mechanically sensitive cells.

Photo-enhanced enzyme-like activities of BiOBr/PtRu hybrid nanostructures

The combination of semiconductor and metal nanocomponents represents an effective way for design of photocatalysts with high efficiency. It is expected that this strategy can be applied to design photo-regulated nanozymes. To prove this concept, BiOBr/PtRu hybrid nanostructures have been fabricated by depositing PtRu nanoparticles on BiOBr nanosheets through a templating co-reduction method. The formation of BiOBr/PtRu hybrid nanostructures was confirmed by TEM, XRD and XPS. BiOBr/PtRu hybrid nanostructures exhibited excellent enzyme-like activities (peroxidase, oxidase, ferroxidase) as well as the ability to scavenge DPPH free radicals. When exposed to light irradiation (λ > 420 nm), it was found that BiOBr/PtRu hybrid nanostructures not only exhibit improved photocatalytic degradation, but also exhibit enhanced peroxidase- and oxidase-like activity. Due to the photocatalytic effect and the higher charge separation and utilization efficiency caused by heterojunctions, a light-enhanced enzyme-like activity mechanism was proposed. These results will be of value to design high efficiency nanozymes using light for biological and environmental applications.

Application of System Analysis for Technological Processes Investigation

System analysis is used as the effective way for design and modification of different kinds of technical systems. Application of system analysis to any technological process allows to present the links between input and output parameters which makes it possible to analyze its effectiveness and effect on the process for manufacturing of the object with necessary level of quality. The paper presents results of system analysis application for multioperational technological processes. The main aim of hot rolling process is manufacturing the hot rolled metal sheet with definite geometrical parameters which are necessary for further cold rolling process. The scheme of hot rolling operation with its input and output links is presented. The obtained results can be used for mathematical modeling of hot rolling operation. It is shown the application of system analysis for technological process of coating on the example of vacuum ion-plasma coating process. Because of existence of operated, noncontrolled, and indignant parameters of the coating process application of system analysis is the effective way for structural analysis of this technical system. It is proposed to supplement system analysis with function-oriented analysis. This approach can state the links between properties of the object which are sufficient for its application and technological parameters of the manufacturing technological process.

Preparation of Au@TiO2 yolk-shell nanocomposites for solar-light degradation of methylene blue

A novel synthetic approach has been developed to prepare Au@TiO2 yolk-shell (Au@TiO2-YS) structures using silica as a template with controllable size, shape, crystal phase. This approach shows a few unique features, including tunable TiO2 shell thickness, high repeatability, low cost, and easy operation. The morphology, composition and the corresponding properties were characterized by several advanced techniques, such as TEM, XRD, and UV-vis spectroscopy. The Au@TiO2-YS structures consist of Au NPs as cores and TiO2 hollow spheres as shells. The Au NPs can be controlled in various diameters (e.g., 100 nm, 50nm, and 30 nm), wh ile the TiO2 shell can form cavities with diameters of 255 nm and the thickness of ∼45 nm. The absorption peak of the product can be changed by adjusting the size of Au cores. In addition, the photocatalytic activities of the synthesized composites were systematically measured by degrading methylene blue (MB) under simulated solar light irradiation. The photocatalytic performance test reveals that the reaction kinetic constants of the Au@TiO2-YS structures with different Au core sizes are superior to that of the TiO2 hollow spheres (0.00521 min−1). A mong the yolk-shell structures, the YS-50 show highest kinetic constant (0.00704 min−1), wh ich is 1.35 times higher than that of pure TiO2 hollow spheres. These findings provide an effective way for design and construction of TiO2-based photocatalysts for solar-light degradation of organic pollutant.

Modeling and test result of closed-loop MEMS accelerometer with wide dynamic range

MEMS technology has been applied in many fields including deep oil exploration and seismic detection areas, of which poor performance has limited its development until the sigma-delta modulation is added. Many of researches for improving the performance of MEMS acceleration sensor had been put forward. In this paper, an effective way for design of feed-forward sigma-delta for MEMS acceleration sensor is proposed. It is well know that simulation parameters are mainly about two parts including mechanical parameters and sigma-delta modulator parameters. Different mechanical parameters match the different sigma-delta parameters. Furthermore, the simulation model is designed successfully under idea environment in MATLAB, which cannot indicate it can reach the same performance in real environment through taped out. Therefore, the useful model parameters which had been verified by taped out can be the most valuable parameters for MEMS readout design. In this paper, the work shows an optimized parameters design with signal to noise ration (SNR) of 148 dB and its experimental result can reach 142 dB.

The Parameter Optimization of the Positive Torque Pumping Machine Model Based on the LabVIEW

The parameters of the oil pumping machine model determines its performance and balance rate, A set of good parameters can effectively improve the balance rate of pumping unit. Several oil pumping machine model subroutine has developed and practicaly calculatded through LabVIEW in this study, it was shown that the application of LabVIEW can effectively improve the rate of the pumping machine parameter optimization, provided an effective way for design and improve the positive torque pumping machine.

Fabrication and Optical Properties of Pyrene-Eu Hybrid Materials

Lanthanide-containing organic-inorganic hybrid materials have drawn much attention in the research of materials with multifunctional and modulated optical properties. Here, large area pyrene-Eu hybrid nanostructures constructed of a large amount of nanowires are successfully fabricated through physical vapor codeposition method at low temperature (77 K). Further optical property characterizations indicate that the pyrene-Eu hybrid nanostructures exhibit enhanced green light emission under blue light excitation compared with other fabricated samples (pyrene nanostructures, Eu nanoparticles, and pyrene/Cu hybrid nanostructures). The results indicate the occurrence of an energy transfer process from the sensitizing pyrene nanostructures to Eu. Pyrene-Eu hybrid nanostructures with unique photoluminescence properties may have promising applications in phosphors, light-emitting device, and UV-vis photo sensor. The results also prove that the physical vapor codeposition method is an effective way for design of organic-inorganic hybrid materials with controllable and tunable optical properties.

Vibration Sensitivity Analysis of the Secondary Isolation Support

The second vibration isolation support (SVIS) is very important parts of the vibration engineering equipment, and its dynamic performance will affect the operating condition of the entire device. In the design process, the sensitivity of design parameters provides a very effective way for design of SVIS. By analyzing the sensitivity of the amplitude of SVIS relative to the mass of SVIS, the spring stiffness and the operating frequency, as well as the sensitivity of the modal natural frequency relative to the plate thickness, the influence degree of these design parameters on the dynamic characteristics of SVIS were obtained and the best optimization parameters the structure of SVIS were obtained.

Numerical Modeling and Design of Thermoelectric Cooling Systems

Thermoelectric coolers are often used as reliable energy converters in a large range of applications. For design considerations, it is crucial to establish an effective methodology to determine and optimize the TEC performance within the cooling system constraints. For this purpose, firstly, three approaches are used to obtain the internal parameters of a given thermoelectric module. For these three estimating procedures, the simulated pumping powers are in the sequence of method III < method II < method I for each temperature difference. Hence, good precision of the simulated data are obtained by averaging the results of these three methods. Then, design optimizations of a thermoelectric assembly are conducted to obtain the device parameter, efficiency, and maximum power, respectively. Results show it is simple and effective way for design of a thermoelectric cooling system.

Modelling and optimization of a pneumatic microfeeder system

This paper presents modelling and design optimization of a microfeeder which, as part of a microassembly system, is used for contactless object delivery. The microfeeder consists of an array of microactuators which are controlled by electrostatic actuation and used for maneuvering outcoming air jet for object hovering and delibery. The airflow behaviour in the microactuator is analysed by means of fluid mechanics and Computational Fluid Dynamics (CFD) simulation from three aspects, theoretical analysis, initial design assessment, and design modifications. The focus is put on the basic types of the microfeeder structure and the effects of structural details to the systematic performance. The structural pattern of the microactuator for forming airflow nozzle is identified and two design plans are proposed as basic structure patterns of pneumatic microactuators. The optimized design numerically shows the ability of delivering objects. This paper analyses the flow distribution pattern in microactuators and points out a way for effective design of pneumatic microfeeder systems. The optimization strategy provided by the present paper has close relevance to the design and manufacture of pneumatic microfeeder systems.

Modelling and optimization of a pneumatic microfeeder system

This paper presents modelling and design optimizati on of a microfeeder which, as part of a microassemb ly system, is used for contactless object delivery. Th e microfeeder consists of an array of microactuator s which are controlled by electrostatic actuation and used for maneuvering outcoming air jet for object hovering and delibery . The airflow behav- iour in the microactuator is analysed by means of f luid mechanics and Computational Fluid Dynamics (CFD) simulation from three aspects, theoretical analysis, initial d esign assessment, and design modifications. The foc us is put on the basic types of the microfeeder structure and the effects of structural details to the systematic performance . The structural pattern of the microactuator for forming airflow nozzle is identified and two design plans are proposed as bas ic structure patterns of pneumatic microactuators. The optimized design n umerically shows the ability of delivering objects. This paper analyses the flow distribution pattern in microactuators and points out a way for effective design of pneumatic microfeeder systems. The optimization strategy provided by the present p aper has close relevance to the design and manufact ure of pneumatic microfeeder systems.