bluuebunny/crossref_metadata_2025_split huggingface dataset:
A comprehensive literature review on the recent advances in braking systems technology using FEA
Authors: Usmani D , Mohan R , Mewada C S , Goga G 
Published: May 2023

Abstract
“An object remains in its state of rest or in motion until and unless acted upon by an external force” Newton’s first law of motion, Braking systems were made possible by this rule of Sir Isaac Newton, which states that the greater the vehicle’s speed, the greater the brake force needed to slow it down. This idea spawned several studies in the subject of braking, leading to its development, which in turn has given us the luxury of picking the most effective braking system for any given situation. This research analyses the thermomechanical behaviour of dry disc-to-pad contact during braking using Finite Element Analysis (FEA). Air ventilation and friction will be increased by modulating the design for disc heating issue due to long life of brake disc. The modeling of transient disc brake temperature is used to determine the disc’s geometric design for vehicle ventilation. The thermal-structural analysis is coupled to calculate disc deformation, Von Mises stress, as well as pad contact temperature distribution. The findings match the specialist literature.
Design and development of renewable electric vehicle
Authors: Senthilkumar R , Rajamanickam A , Rositha V , Ahamed Meeran K , Nithishkumar P 
Published: May 2023

Abstract
Electric cars play an important part in the area of renewable energy, both in India and internationally. This is because they help reduce the use of fossil fuels, prevent air pollution, which is very hazardous for human beings, and lower the cost of the vehicle’s purchase upfront. The technique that is being presented is intended to supplant the utilization of non-renewable fuel that is now used in our day-to-day lives. The primary objective of this proposal is to develop a novel concept for a solar-powered three-wheeled vehicle that will solve and address issues relating to environmental pollution and the scarcity of fuel, as well as to monitor a variety of parameters that will result in an increase in the driver’s level of safety. In light of this, various governments as well as other private sectors have expressed an interest in making financial investments in the automotive and automobile industry, in particular in the realm of renewable electric vehicles (REVs) and the most recent advancements in the field of renewable energy sources. In this article, we take a look at a few different systems that are already in use and present an outline of a solar-powered three-wheeler vehicle that integrates a number of different safety measures.
Performance study of visible light communication through non-orthogonal multiple access (noma) – LI-FI
Authors: Bindhu M , Praveen Kumar S , Anitha K , Hemanth Chowdary M , Sai Narravula Prem , Pavan Muppala , Raju Kumar 
Published: May 2023

Abstract
Li-Fi (Light Fidelity) is a new wireless communication technology that is comparable to Wireless Fidelity (Wi-Fi). However, Li-Fi is supposed to be better than Wi-Fi, and this has been theoretically verified. Li-Fi is also thought to make a significant contribution to wireless networks. The practical application of Li-Fi will be discussed in this study. In this paper we chose NOMA because of its ability and efficiency in simultaneously transporting data, as well as its application in 5G cellular networks. VLC stands for visible light communication, as the name implies. In this section, we will investigate how the data transporting capabilities of Li-Fi make use of the visible light emitted by light emitting diodes (LEDs). In this paper, the effectiveness of a non-orthogonal multiple access (NOMA) protocol used in a downlink visible light communication (VLC) system is evaluated for two distinct situations. On a two-user paired NOMA, we create an analytical expression of the system coverage probability for QoS provisioning and show that optimum power allocation coefficients do exist. Additionally, we establish the existence of optimal power allocation coefficients. Last but not least, the numerical and analytical results illustrated in our work show that the VLC single-cell system throughput obtained with our technique is better than that obtained with the earlier strategy. Additionally, it is shown that the suggested alternative lower bound fits the original NOMA-VLC GRPA objective asymptotically using indoor VLC channels.
Innovative method of broad banding a helical-TWT
Authors: Varshney Amit Kumar , Basu Baidyanath 
Published: May 2023

Abstract
A new method of broad banding a helix TWT is suggested in which, instead of shaping the dispersion characteristics of helical structure by using tapered geometry dielectric helix-support rods, a two-stage dielectric loading is provided by severing the structure in two sections each with a conventional helix supports here typically of wedge cross section. One of the sections was heavily dielectric loaded compared to the other section so that two gain peaks on the frequency scale occur in the former section unlike in latter in which a single gain peak occurs. The structure parameters of the two sections and the beam parameters were so adjusted that the gain peak of lightly loaded section falls between the two gain peaks of the heavily loaded section resulting in ultra-wide bandwidths of the proposed two-stage device. In addition to the well-known Pierce’s gain formula, the basic sheath-helix model of the structure was used in the process of developing this method. Research has been done to investigate whether or not a positive stage speed tightening might help to enhance the display of a broadband helix voyaging wave tube.
A survey on artificial neural network based energy-efficient and robust routing scheme for pollution monitoring in WSNs
Authors: Vidhya S , Poovizhi S S 
Published: May 2023

Abstract
Despite the significant limits put on the resources of the sensor nodes, such as storage, processing power, communication range, and energy, the spectrum of applications for wireless sensor networks (WSNs) is expanding. This is the case even though WSNs have severe limitations. The primary goals of a WSN are to reduce the amount of energy used and the amount of time it takes to transmit data to the sink node. When a significant number of nodes are being installed, as is the situation with monitoring industrial pollutants, this becomes an extremely important point of discussion. We present an energy-efficient and resilient routing method for wireless sensor networks (WSNs) dubbed ELDC that is based on artificial neural networks. In this method, the network is trained on a massive data set that encompasses the vast majority of possible situations. This helps the network become more dependable and responsive to its surroundings. In addition to this, it makes use of a technique that is based on groups, with the understanding that the sizes of the groups might vary. This helps to extend the life of the network as a whole. An artificial neural network enables intelligent, efficient, and robust group organization by providing efficient threshold values for the selection of a group’s chief node and a cluster head based on the back propagation technique. These threshold values are provided by an artificial neural network. As a result, the method that we have suggested is very good at saving energy and is able to extend the life of sensor nodes.
Wideband SIW based slot antenna for RADAR applications
Authors: Jennie Bharathi R , Neduncheliyan S 
Published: May 2023

Abstract
In this case, a substrate integrated waveguide technology is used in conjunction with a cavity-backed slot antenna. The modified slot antenna, in comparison to the dumbbell-shaped slot, not only adds numerous additional resonance spots, but it also enables the antenna to attain a better gain. In addition to this, the high-order resonant modes that are contained inside the sub cavity may be stimulated by the ground coplanar waveguide feeding structure if the high-order modes are brought into close proximity with one another. Based on the results of the test, it has been determined that the suggested antenna achieves an impedance bandwidth of 26.7% between 18.2 and 23.8 GHz and a peak gain of 9.5 dBi at 20.4 GHz. At each of the three frequencies that were tested, the cross-polarization levels of the antenna are around 40 dB. Antennas are recognised as being among the most important parts of any communication system. Because of this, antenna design is now one of the most active areas of study within the field of communication studies. In contrast, applications like as air traffic radar, satellite communications, and point-to-point terrestrial connection demand highly concentrated radiation patterns that also have a wideband and high gain. Because of this more focused radiation pattern, there will also be an increase in the communication range.
Design of intelligent temperature and humidity monitoring system based on STM32
Authors: Chen Jialong , Xiao Jingjing 
Published: May 2023

Abstract
In the closed warehouse environment, this paper designed an intelligent temperature and humidity monitoring system based on the modular design method to solve the problem that the product is easy to damage. Based on the interaction between the STM32 Main control chip and the upper computer, the warehouse temperature, humidity dual control, and other functions can be realized. Experimental results show that the design can timely control the temperature and humidity in the warehouse. Moreover, the system has the function of data broadcasting. Consequently, product quality can be guaranteed to a great extent.
Monocular 3D Target Detection Model Based on Differential Neural Network Architecture Search
Authors: Yang Xiaofeng , Liang Tianzhu , Lu Shengli 
Published: May 2023

Abstract
This paper explores the possibility of applying neural network architecture search to monocular 3D target detection tasks, so as to solve the problem that researchers need a lot of time and prior knowledge to manually design network structures. The algorithm applies the differentiable neural network architecture search technology to the backbones search of the 3D monocular target detection network FCOS3D. At the same time, to improve the accuracy of the algorithm for 3D target detection tasks and reduce the computational complexity of the algorithm, we add deformable convolution and depth separable convolution to the network searchable space. Finally, our algorithm is superior to the original FCOS3D algorithm in the KITTI3D monocular target detection dataset.
Research on roughness prediction model of robotic sanding carbon fiber reinforced plastics
Authors: Wang Guo Lei , Lin Cun Ning , Chen Su Ming , Yue Shan , Xue Hong Ming , Gao Xiang Lin 
Published: May 2023

Abstract
By taking a pneumatic eccentric grinder and round sandpapers as research objects, the modeling method is proposed to accurately predict the surface roughness of robotic sanding carbon fiber reinforced plastic parts. A four-factor, the four-level orthogonal experiment was conducted which took four process parameters into account: pressing force, feeding speed, grit size, and supply air pressure. The multiple linear regression analysis method was then applied to create a roughness prediction model. Furthermore, accuracy validation results show that the model’s prediction error is within ±9%.
Towards an Automated Testing Framework for IoT Devices
Authors: Wang Baoping , Zhu Linkai , Sun Di , Wang Wennan , Song Shiyang , Peng Sheng 
Published: May 2023

Abstract
As the Internet of Things (IoT) devices become increasingly available, there is an increasing demand for automated testing. Starting from the advantages of automated testing in the IoT, this paper first examines that automated testing has significantly improved compared to traditional manual testing in terms of test efficiency, test level, cost savings, and product stability. We then explain in detail the steps and key points of implementing automatic tests. Finally, a variety of automatic client frameworks are developed based on the Python language and connected to an automated testing environment, which has achieved significant benefits in equipment stability testing and performance testing.
Fabrication of flexible optoelectronics based on in-situ-grown customized graphene patterns
Authors: Wang Huawen , Zhang Ruiqi , Li Xin 
Published: May 2023

Abstract
The unique physical and chemical properties of graphene enable it to be widely used in optoelectronic devices, and the important prerequisite for its functionalization and application is the hene patterning technique. However, traditional patterned graphene preparation methods will introduce impurities and defects in the process, which will affect the performance of devices. We developed a method to directly grow patterned graphene, and then transfer it to a flexible substrate to fabricate optoelectronic devices. Flexible electroluminescent devices were fabricated and functionally tested.
Multi-qubit BEC trap for atomic boson sampling
Authors: Shannon William , Kocharovsky Vitaly 
Published: May 2023

Abstract
We suggest a new platform for examination of quantum statistical phenomena in many-body interacting systems – a multi-qubit Bose-Einstein-condensate (BEC) trap. Ideally, it is suitable for demonstrating manifestations of quantum supremacy of such systems through atomic boson sampling of excited-state occupations. This is wholly different than the linear-interferometer platform which uses Gaussian boson sampling of non-interacting non-equilibrium photons rather than interacting atoms in equilibrium. We present a basic model of the multi-qubit BEC trap and illustrate its essential properties by means of numerical simulations.
Solitary high-Q resonance in a grating waveguide via parity symmetry breaking at mode crossing
Authors: Reynolds Cole , Kocharovsky Vitaly 
Published: May 2023

Abstract
A phenomenon of a solitary narrow high-Q resonance in a planar grating waveguide associated with a bound state in the continuum (BIC) is revealed analytically. BICs appear when dispersion curves of the leaking even-parity and non-leaking odd-parity infinite-grating eigenmodes intersect. These intersections engender a parity symmetry break of the leaking eigenmode, causing it to decouple from a spatial Fourier harmonic that is emitted out of the waveguide. As a result, the otherwise low-Q waveguide eigenmode, comprised of those two aforementioned and some other infinite-grating eigenmodes, acquires a very high quality factor in a narrow vicinity of the mode-crossing frequency. Implementation of such a mechanism can be instructive for designing BICs in other photonic crystals and structures.
Anti-Stokes Raman spectroscopy for probing functional groups in amorphous carbon thin films
Authors: Saparina S V , Gazizov A R , Kharintsev S S 
Published: May 2023

Abstract
Ultra-thin amorphous carbon (a-C) films are well established protective coatings of optical fibers. These coatings allow one to prevent degradation of the SiO2 fiber, which occurs due to diffusion of the water and hydrogen molecules into cladding and core. The a-C films typically contain impurities, such as oxygen and hydrogen, which are attached to organic moieties via chemical bonding. The formation of hydrogen- and oxygen-containing functional groups reduces the hermeticity of a-C coatings, and therefore, monitoring these impurities is of great importance. In this work, we develop a method for probing O- and H- containing moieties based on resonance anti-Stokes Raman spectroscopy. We measured Raman spectra of a-C films and observed that anti-Stokes to Stokes ratios of Raman peaks differ from those predicted by Boltzmann law. This effect caused by resonance enhancement of the anti-Stokes Raman scattering in defects of graphite-like crystals. To quantify this effect, we used a resonance factor, which is defined as a ratio of the anti-Stokes and Stokes scattering cross sections. We show that this indicator can be used to assess degree of enrichment/depletion of a-C with O- and H- containing functional groups. Understanding the physical mechanisms of the anomalous anti-Stokes Raman scattering will improve Raman thermometry.
Stimulated tip-enhanced Raman scattering on single molecule in plasmonic nanocavity
Authors: Gazizov Almaz R , Kharintsev Sergey S , Salakhov Myakzyum Kh 
Published: May 2023

Abstract
Plasmonic nanocavities formed by a metal nanoparticle located close to a thin metal film or other nanoparticle are of great interest for nanophotonics. Their properties can be used for optical superresolution, optoelectronics, and the creation of new materials with increased non-linearity. However, the interpretation of Raman spectra enhanced by a nanoresonator is complicated by depolarization effects. In this work, the analysis of tip-enhanced Raman scattering (TERS) on a single organic molecule in the plasmonic nanocavity formed by a metal tip and a gold substrate is carried out. The linear and nonlinear regimes of TERS are considered. The reasons for the selective enhancement of Raman spectral bands are analysed using anisotropic molecule of the free base porphyrin (FBP) dye as an example. The observed vibrational symmetry of the molecule changes even greater in nonlinear regime of spectroscopic TERS measurements. We believe that our results are beneficial for the development of the tools to control vibrations of molecules at the nanoscale.
Massive Quantum Vortices in Superfluids
Authors: Richaud Andrea , Penna Vittorio , Fetter Alexander L. 
Published: May 2023

Abstract
We consider the dynamical properties of quantum vortices with filled massive cores, hence the term “massive vortices”. While the motion of massless vortices is described by first-order motion equations, the inclusion of core mass introduces a second-order time derivative in the motion equations and thus doubles the number of independent dynamical variables needed to describe the vortex. The simplest possible system where this physics is present, i.e. a single massive vortex in a circular domain, is thoroughly discussed. We point out that a massive vortex can exhibit various dynamical regimes, as opposed to its massless counterpart, which can only precess at a constant rate. The predictions of our analytical model are validated by means of numerical simulations of coupled Gross-Pitaevskii equations, which indeed display the signature of the core inertial mass. Eventually, we discuss a nice formal analogy between the motion of massive vortices and that of massive charges in two-dimensional domains pierced by magnetic fields.
Optimal Phase Sensitivity in an Unbalanced Mach-Zehnder Interferometer
Authors: Ataman Stefan 
Published: May 2023

Abstract
In this work we address the problem of phase sensitivity optimization for an unbalanced Mach-Zehnder interferometer. While the quantum Fisher information can be employed in order to obtain the optimum transmission coefficient for the first beam splitter, this is no longer true for the second one, whose optimization is detection-scheme dependent. We thus consider three commonly used detection schemes and provide the optimal solution for each case. We also provide applications of the optimization method showing that for some input states a non-balanced Mach-Zehnder interferometer can outperform its balanced counterpart in terms of phase sensitivity.
Ionization Dynamics for Atomic and Molecular Ions in Relativistic, Ultrastrong Laser Fields
Authors: Walker B C , Jones E C , Andreula Z , Pham M , Gale M , Pedlow E , Stein A 
Published: May 2023

Abstract
The discovery of laser-driven rescattering and high harmonic radiation out to a maximum photon energy of 3.17 times the ponderomotive energy (Up
) laid the groundwork for attosecond pulse generation and coherent X-rays. As the laser field drives the interaction to higher energies, relativity and the Lorentz force from the laser magnetic field enter into the dynamics. We present the results of recent studies of laser rescattering, including these effects, to give a quantitative description of rescattering dynamics in the high-energy limit, ie, recollision energies of order 1,000 hartree (27 keV). The processes investigated include inner K- and L-shell excitation and the ultimate limit of high harmonic generation via rescattering bremsstrahlung. The results indicate the path to the frontier area of x-ray strong field processes.
Effect of High and Low Pressure EGR on Diesel Engine Matched with Mechanical Turbo-compound
Authors: Wang Kun , Wang Jun , Shi Zhipeng , Guo Xiangchi , Zhang Qiang 
Published: May 2023

Abstract
The mode of exhaust gas recirculation (EGR) and the flow of recirculated exhaust greatly impact the exhaust heat recovery of the mechanical turbo-compound. A matching mechanical turbo-compound of the diesel engine is established with GT-power software to study the effect of EGR mode and EGR rate on it, and the effect of EGR rate on the working performance of diesel engine and the mechanical turbo-compound under high-pressure EGR mode and low-pressure EGR mode is also studied. The results show that compared with the original engine, the effective thermal efficiency of the diesel engine matched with mechanical turbo-compound has been improved. Under the two EGR modes, as the EGR rate increase, the effective thermal efficiencies of diesel engine matched with mechanical turbo-compound and the original engine are decreasing. Under the maximum torque condition, the fuel economy of mechanical compound turbine diesel engine matched with low-pressure EGR system is better than with high-pressure EGR system; while underrated power condition, the fuel economy difference of mechanical compound turbine diesel engine matched with high-pressure EGR system and low-pressure EGR system is small.
Study of partial discharge electromagnetic wave signal leakage characteristics of transformer oil-paper insulated bushings
Authors: Su Yi , Li Dajian , Lu Yufeng , Han Fangyuan , Zhang Wei 
Published: May 2023

Abstract
In order to reasonably evaluate the effectiveness of UHF sensor arrangement in online monitoring of partial discharge of bushing, it is necessary to study the electromagnetic wave propagation characteristics of partial discharge UHF in the bushing. In this paper, a three-dimensional model of a real transformer bushing is established, the XFDTD software is used to simulate the raised seat defects and internal capacitive core defects of the bushing, field strength sensors are arranged at different locations inside and outside the bushing, and the propagation process of partial discharge UHF signals leaking from the oil-paper insulated bushing to the external free space is simulated and analyzed. The results show that the time difference between the signals received by the field strength sensors at different locations is not significant and can be neglected in practice. The partial discharge electromagnetic wave signal generated by the bushing elevated seat defect leaks from the upper porcelain sleeve to the external space, and the leaked electromagnetic wave energy is mainly gathered at the upper and lower ends of the upper porcelain sleeve. The partially discharged electromagnetic signal at the capacitor core inside the bushing will propagate along the coaxial waveguide structure formed between the capacitor screens towards the two ends of the capacitor core, the downward propagating electromagnetic wave energy is confined within the elevated seat, the upward propagating electromagnetic wave energy propagates from the top of the upper porcelain bushing to the external space, the leaked electromagnetic wave energy is mainly concentrated at the top of the upper porcelain bushing. The simulation results provide ideas for optimizing the arrangement of external antenna sensors for UHF detection of partial discharges in transformer oil-paper insulated bushings.