bluuebunny/crossref_metadata_2025 huggingface dataset:
A hybrid MRE isolation system integrated with ball-screw inerter for vibration control
Authors: Jin Shida , Sun Shuaishuai , Yang Jian , Deng Lei , Du Haiping , Li Weihua
Published: December 2021

Magnetorheological elastomer (MRE), as a field-dependent smart material, has been widely applied on base isolation for vibration reduction. However, the MRE isolation system often experiences large drift during a strong earthquake, which may cause mechanical failure. Additionally, its performance among the low-frequency range is still limited. To tackle these problems, this paper proposes a hybrid vibration isolation system which is composed of four stiffness softening MRE isolators and a passive ball-screw inerter. A simulation was developed to prove the effectiveness of the hybrid isolation system before the earthquake tests. A scaled three-storey building was developed based on the scaling laws as the isolated objective in earthquake experiments. Besides, a linear quadratic regulation controller was utilised to control the mechanical properties of the hybrid MRE isolation system. Finally, the evaluation experiments of the building under a scaled Kobe earthquake excitation were conducted. The experimental results show that the simulation and the experimental results were in agreement, validating that the hybrid isolation system could provide a better vibration mitigation performance, in the meanwhile, reduce the displacement amplitude of the isolation system.
Structure-preserving analysis on Gaussian solitary wave solution of logarithmic-KdV equation
Authors: Hu Jingjing , Hu Weipeng , Zhang Fan , Zhang Han , Deng Zichen
Published: December 2021

The existence of the Gaussian solitary wave solution in the logarithmic-KdV equation has aroused considerable interests recently. Focusing on the defects of the reported multi-symplectic analysis on the Gaussian solitary wave solution of the logarithmic-KdV equation and considering the dynamic symmetry breaking of the logarithmic-KdV equation, new approximate multi-symplectic formulations for the logarithmic-KdV equation are deduced and the associated structure-preserving scheme is constructed to simulate the evolution of the Gaussian solitary wave solution. In the structure-preserving simulation process of the Gaussian solitary wave solution, the residuals of three conservation laws are recorded in each step. Comparing with the reported numerical results, it can be found that the Gaussian solitary wave solution can be simulated with tiny numerical errors and three conservation laws are preserved perfectly in the simulation process by the structure-preserving scheme presented in this paper, which implies that the proposed structure-preserving scheme improved the precision as well as the structure-preserving properties of the reported multi-symplectic approach.
Photon routing based on non-chiral interaction between atoms and waveguides
Authors: Zhang Wang-Rui , Shui Tao , Liu Yi-Lou , Ji Ning , Yang Wen-Xing
Published: December 2021

The photon router plays an essential role in the optical quantum network. However, conventional routers generally couple photons chirally into waveguides to achieve complete transmission from the input port to the required port. Here, we use non-chiral photon-atom interactions for targeted routing. The system consists of two V-type three-level atoms and two parallel waveguides. In addition, the two atoms are driven by external coherent fields, respectively. With a real-space Hamiltonian, the probability of photon transmitted to four ports can be obtained. The study shows that a single photon input from the left port of the waveguide-a can be deterministically transferred to any of the four ports of the two waveguides by adjusting the detuning of the atom and the driving field on the atom, as well as the distance between the two atoms.
On-chip light detection using integrated microdisk laser and photodetector bonded onto Si board
Authors: Kryzhanovskaya Natalia V , Zubov Fedor I , Moiseev Eduard I , Dragunova Anna S , Ivanov Konstantin A , Maximov Mikhail V , Kaluzhnyy Nikolay A , Mintairov Sergey A , Mikushev Sergey V , Kulagina Marina M , Guseva Julia A , Likhachev Alexey I , Zhukov Alexey E
Published: December 2021

Characteristics of a compact III–V optocoupler heterogeneously integrated on a silicon substrate and formed by a 31 µm in diameter microdisk (MD) laser with a closely-spaced 50 µm × 200 µm waveguide photodetector are presented. Both optoelectronic devices were fabricated from the epitaxial heterostroctructures with InGaAs/GaAs quantum well-dot layers. The measured dark current density of the photodetector was as low as 2.1 µA cm−2. The maximum link efficiency determined as the ratio of the photodiode photocurrent increment to the increment of the microlaser bias current was 1%–1.4%. The developed heterogeneous integration of III–V devices to silicon boards by Au-Au thermocompression bonding is useful for avoiding the difficulties associated with III–V epitaxial growth on Si and facilitates integration of several devices with different active layers and waveguides. The application of MD lasers with their lateral light output is promising for simplifying requirements for optical loss at III–V/Si interface.
Intracavity losses effect on mode-locking in a waveguide laser with graphene saturable absorber
Authors: Ponarina Mariya , Okhrimchuk Andrey , Dolmatov Timophey , Rybin Maxim , Obraztsova Elena , Bukin Vladimir , Obraztsov Petr
Published: December 2021

A single-wavelength compact diode-pumped solid-state laser based on a single-mode waveguide with a diameter of 20 µm and graphene saturable absorber is presented in this work. The total reflection coefficient of the intracavity interferometer has a significant effect on the level of intracavity losses. By accurate controlling the intracavity losses a stable continuous wave passive mode-locking at wavelength of 1064 nm with a pulse repetition rate of 9.5 GHz was obtained.
Finite element simulation of Love wave sensor for the detection of volatile organic gases
Authors: Wang Yan , Liang Su-Peng , Shang Shu-Lin , Xiao Yong-Bing , Yuan Yu-Xin
Published: December 2021

The three-dimensional (3D) finite element (FE) simulation and analysis of Love wave sensors based on polyisobutylene (PIB) layers/SiO2/ST-90°X quartz structure are presented in this paper, as well as the investigation of coupled resonance effect on the acoustic properties of the devices. The mass sensitivity of the basic Love wave device with SiO2 guiding layers is solved analytically. And the highest mass sensitivity of 128 m2/kg is obtained as h
s/λ = 0.175. The sensitivity of the Love wave sensors for sensing volatile organic compounds (VOCs) is greatly improved due to the presence of coupled resonance induced by the PIB nanorods on the device surface. The frequency shifts of the sensor corresponding to CH2Cl2, CHCl3, CCl4, C2Cl4, CH3Cl and C2HCl3 with the concentration of 100 ppm are 1.431 kHz, 5.507 kHz, 13.437 kHz, 85.948 kHz, 0.127 kHz and 17.879 kHz, respectively. The viscoelasticity influence of the sensitive material on the characteristics of SAW sensors is also studied. By taking account of the viscoelasticity of the PIB layers, the sensitivities of the SAW sensors with the PIB film and PIB nanorods decay in different degree. The gas sensing property of the Love wave sensor with PIB nanorods is superior to that of the PIB films. Meanwhile, the Love wave sensors with PIB sensitive layers show good selectivity to C2Cl4, making it an ideal selection for gas sensing applications.
External calibrator in global signal experiment for detection of the epoch of reionization
Authors: Huang Yan , Wu Xiang-Ping , Guo Quan , Zheng Qian , Li Bi-Ying , Shan Huan-Yuan , Lee Ke-Jia , Xu Hai-Guang
Published: December 2021

We present a conceptual design study of external calibrators in the 21 cm experiment towards detecting the globally averaged radiation of the epoch of reionization (EoR). Employment of external calibrator instead of internal calibrator commonly used in current EoR experiments allows removing instrumental effects such as beam pattern, receiver gain and instability of the system if the conventional three-position switch measurements are implemented in a short time interval. Furthermore, in the new design the antenna system is placed in an underground anechoic chamber with an open/closing ceiling to maximally reduce the environmental effect such as RFI and ground radiation/reflection. It appears that three of the four external calibrators proposed in this paper, including two indoor artificial transmitters and one outdoor celestial radiation (the Galactic polarization), fail to meet our purpose. Diurnal motion of the Galactic diffuse emission turns out to be the most probable source as an external calibrator, for which we have discussed the observational strategy and the algorithm of extracting the EoR signal.
Design of a multi-function high-speed digital baseband data acquisition system
Authors: Pei Xin , Li Jian , Wang Na , Ergesh Toktonur , Duan Xue-Feng , Ma Jun , Chen Mao-Zheng
Published: December 2021

A multi-function digital baseband data acquisition system is designed for the sampling, distribution and recording of wide-band multi-channel astronomical signals. The system hires a SNAP2 board as a digital baseband converter to digitize, channelize and packetize the received signal. It can be configured dynamically from a single channel to eight channels with a maximum bandwidth of 4096 MHz. Eight parallel HASHPIPE instances run on four servers, each carrying two NVMe SSD cards, achieving a total continuous write rate of 8 GB s−1. Data are recorded in the standard VDIF file format. The system is deployed on a 25-meter radio telescope to verify its functionality based on pulsar observations. Our results indicate that during the 30-minute observation period, the system achieved zero data loss at a data recording rate of 1 GB s−1 on a single server. The system will serve as a verification platform for testing the functions of the QTT (QiTai radio Telescope) digital backend system. In addition, it can be used as a baseband/VLBI (Very Long Baseline Interferometry) recorder or D-F-engine of correlator/beamformer as well.
An Arecibo follow-up study of seven pulsars discovered by Five-hundred-meter Aperture Spherical radio Telescope (FAST)
Authors: Wang Shen , Zhu Wei-Wei , Li Di , Pan Zhi-Chen , Wang Pei , Cordes James M. , Chatterjee Shami , Yao Ju-Mei , Qian Lei , Yue You-Ling , Zhang Lei , Zhao Ru-Shuang , Wang Shuang-Qiang , Niu Jia-Rui , Yuan Mao , Miao Chen-Chen , Xie Xiao-Yao , Liu Zhi-Jie , Yu Xu-Hong , You Shan-Ping , Meng Ling-Qi , Collaboration FAST
Published: December 2021

We present Arecibo 327 MHz confirmation and follow-up studies of seven new pulsars discovered by the Five-hundred-meter Aperture Spherical radio Telescope (FAST). These pulsars are discovered in a pilot program of the Commensal Radio Astronomy FAST Survey (CRAFTS) with the ultra-wide-bandwidth commissioning receiver. Five of them are normal pulsars and two are extreme nulling slow pulsars. PSR J2111+2132’s dispersion measure(DM: 78.5 pc cm−3) is above the upper limits of the two Galactic free electron density models, NE2001 and YMW16, and PSR J2057+2133’s position is out of the Scutum-Crux Arm, making them uniquely useful for improving the Galactic free electron density model in their directions. We present a detailed single pulse analysis for the slow nulling pulsars. We show evidence that PSR J2323+1214’s main pulse component follows a non-Poisson distribution and marginal evidence for a sub-pulse-drift or recurrent period of 32.3±0.4 rotations from PSR J0539+0013. We discuss the implication of our finding to the pulsar radiation mechanism.
The isotropic energy function and formation rate of short gamma-ray bursts
Authors: Liu Zhi-Ying , Zhang Fu-Wen , Zhu Si-Yuan
Published: December 2021

Gamma-ray bursts (GRBs) are brief, intense, gamma-ray flashes in the universe, lasting from a few milliseconds to a few thousand seconds. For short gamma-ray bursts (sGRBs) with duration less than 2 seconds, the isotropic energy (E
iso) function may be more scientifically meaningful and accurately measured than the luminosity (L
p) function. In this work we construct, for the first time, the isotropic energy function of sGRBs and estimate their formation rate. First, we derive the L
p – E
p correlation using 22 sGRBs with known redshifts and well-measured spectra and estimate the pseduo redshifts of 334 Fermi sGRBs. Then, we adopt the Lynden-Bell c
− method to study isotropic energy functions and formation rate of sGRBs without any assumption. A strong evolution of isotropic energy E
iso ∝ (1+z)5.79 is found, which is comparable to that between L
p and z. After removing effect of the cosmic evolution, the isotropic energy function can be reasonably fitted by a broken power law, which is

ϕ
(

E

iso
,
0

)
∝

E

iso
,
0

−
0.45

for dim sGRBs and

ϕ
(

E

iso
,
0

)
∝

E

iso
,
0

−
1.11

for bright sGRBs, with the break energy 4.92 × 1049 erg. We obtain the local formation rate of sGRBs is about 17.43 events Gpc−3 yr−1. If assuming a beaming angle is 6° to 26°, the local formation rate including off-axis sGRBs is estimated as ρ
0,all = 155.79 – 3202.35 events Gpc−3 yr−1.
Revisiting the formation mechanism for coronal rain from previous studies
Authors: Li Le-Ping , Peter Hardi , Chitta Lakshmi Pradeep , Song Hong-Qiang
Published: December 2021

Solar coronal rain is classified generally into two categories: flare-driven and quiescent coronal rain. Th latter is observed to form along both closed and open magnetic field structures. Recently, we proposed that some of the quiescent coronal rain events, detected in the transition region and chromospheric diagnostics, along loop-like paths could be explained by the formation mechanism for quiescent coronal rain facilitated by interchange magnetic reconnection between open and closed field lines. In this study, we revisited 38 coronal rain reports from the literature. From theseearlier works, we picked 15 quiescent coronal rain events out of the solar limb, mostly suggested to occur in active region closed loops due to thermal nonequilibrium, to scrutinize their formation mechanism. Employing the extreme ultraviolet images and line-of-sight magnetograms, the evolution of the quiescent coronal rain events and their magnetic fields and context coronal structures is examined. We find that six, comprising 40%, of the 15 quiescent coronal rain events could be totally or partially interpreted by the formation mechanism for quiescent coronal rain along open structures facilitated by interchange reconnection. The results suggest that the quiescent coronal rain facilitated by interchange reconnection between open and closed field lines deserves more attention.
Absolute parameters of young stars: PU Pup
Authors: Erdem Ahmet , Sürgit Derya , Banks Timothy S. , Özkardeş Burcu , Budding Edwin
Published: December 2021

We present combined photometric and spectroscopic analyses of the southern binary star PU Pup. High-resolution spectra of this system were taken at the University of Canterbury Mt. John Observatory in the years 2008 and again in 2014–2015. We find the light contribution of the secondary component to be only ∼2% of the total light of the system in optical wavelengths, resulting in a single-lined spectroscopic binary. Recent TESS data revealed grazing eclipses within the light minima, though the tidal distortion, examined also from Hipparcos data, remains the predominating light curve effect. Our model shows PU Pup to have the more massive primary relatively close to filling its Roche lobe. PU Pup is thus approaching the rare ‘fast phase’ of interactive (Case B) evolution. Our adopted absolute parameters are as follows: M
1 = 4.10 (±0.20) M
⊙, M
2 = 0.65 (±0.05) M
⊙, R
1 = 6.60 (±0.30) R
⊙, R
2 = 0.90 (±0.10) R
⊙; T
1 = 11500 (±500) K, T
2 = 5000 (±350) K; photometric distance = 186 (±20) pc, age = 170 (±20) Myr. The less-massive secondary component is found to be significantly oversized and overluminous compared to standard main sequence models. We discuss this discrepancy referring to heating from the reflection effect.
Recurrent coronal jets observed by SDO/AIA
Authors: Zhang Yan-Jie , Zhang Qing-Min , Dai Jun , Xu Zhe , Ji Hai-Sheng
Published: December 2021

In this paper, we carried out multiwavelength observations of three recurring jets on 2014 November 7. The jets originated from the same region at the edge of AR 12205 and propagated along the same coronal loop. The eruptions were generated by magnetic reconnection, which is evidenced by continuous magnetic cancellation at the jet base. The projected initial velocity of jet2 is ∼402 km s−1. The accelerations in the ascending and descending phases of jet2 are not consistent, the former is considerably larger than the value of g
⊙ at the solar surface, while the latter is lower than g
⊙. There are two possible candidates of extra forces acting on jet2 during its propagation. One is the downward gas pressure from jet1 when it falls back and meets with jet2. The other is the viscous drag from the surrounding plasma during the fast propagation of jet2. As a contrast, the accelerations of jet3 in the rising and falling phases are constant, implying that the propagation of jet3 is not significantly influenced by extra forces.
Automated classification technique for edge-on galaxies based on mathematical treatment of brightness data
Authors: Eassa Mohamed , Selim Ibrahim Mohamed , Dabour Walid , Elkafrawy Passent
Published: December 2021

Classification of edge-on galaxies is important to astronomical studies due to our Milky Way galaxy being an edge-on galaxy. Edge-on galaxies pose a problem to classification due to their less overall brightness levels and smaller numbers of pixels. In the current work, a novel technique for the classification of edge-on galaxies has been developed. This technique is based on the mathematical treatment of galaxy brightness data from their images. A special treatment for galaxies’ brightness data is developed to enhance faint galaxies and eliminate adverse effects of high brightness backgrounds as well as adverse effects of background bright stars. A novel slimness weighting factor is developed to classify edge-on galaxies based on their slimness. The technique has the capacity to be optimized for different catalogs with different brightness levels. In the current work, the developed technique is optimized for the EFIGI catalog and is trained using a set of 1800 galaxies from this catalog. Upon classification of the full set of 4458 galaxies from the EFIGI catalog, an accuracy of 97.5% has been achieved, with an average processing time of about 0.26 seconds per galaxy on an average laptop.
Solar observation with the Fourier transform spectrometer I : Preliminary results of the visible and near-infrared solar spectrum
Authors: Bai Xian-Yong , Zhang Zhi-Yong , Feng Zhi-Wei , Deng Yuan-Yong , Bao Xing-Ming , Yang Xiao , Song Yong-Liang , Tong Li-Yue , Jing Shuai
Published: December 2021

The Fourier transform spectrometer (FTS) is a core instrument for solar observation with high spectral resolution, especially in the infrared. The Infrared System for the Accurate Measurement of Solar Magnetic Field (AIMS), working at 10–13 μm, will use an FTS to observe the solar spectrum. The Bruker IFS-125HR, which meets the spectral resolution requirement of AIMS but simply equips with a point source detector, is employed to carry out preliminary experiment for AIMS. A sun-light feeding experimental system is further developed. Several experiments are taken with them during 2018 and 2019 to observe the solar spectrum in the visible and near infrared wavelength, respectively. We also proposed an inversion method to retrieve the solar spectrum from the observed interferogram and compared it with the standard solar spectrum atlas. Although there is a wavelength limitation due to the present sun-light feeding system, the results in the wavelength band from 0.45–1.0 μm and 1.0–2.2 μm show a good consistency with the solar spectrum atlas, indicating the validity of our observing configuration, the data analysis method and the potential to work in longer wavelength. The work provided valuable experience for the AIMS not only for the operation of an FTS but also for the development of its scientific data processing software.
Longevity and reliability of chronic unit recordings using the Utah, intracortical multi-electrode arrays
Authors: Sponheim Caleb , Papadourakis Vasileios , Collinger Jennifer L , Downey John , Weiss Jeffrey , Pentousi Lida , Elliott Kaisa , Hatsopoulos Nicholas G.
Published: December 2021

Objective. Microelectrode arrays are standard tools for conducting chronic electrophysiological experiments, allowing researchers to simultaneously record from large numbers of neurons. Specifically, Utah electrode arrays (UEAs) have been utilized by scientists in many species, including rodents, rhesus macaques, marmosets, and human participants. The field of clinical human brain-computer interfaces currently relies on the UEA as a number of research groups have clearance from the United States Federal Drug Administration (FDA) for this device through the investigational device exemption pathway. Despite its widespread usage in systems neuroscience, few studies have comprehensively evaluated the reliability and signal quality of the Utah array over long periods of time in a large dataset. Approach. We collected and analyzed over 6000 recorded datasets from various cortical areas spanning almost nine years of experiments, totaling 17 rhesus macaques (Macaca mulatta) and 2 human subjects, and 55 separate microelectrode Utah arrays. The scale of this dataset allowed us to evaluate the average life of these arrays, based primarily on the signal-to-noise ratio of each electrode over time. Main results. Using implants in primary motor, premotor, prefrontal, and somatosensory cortices, we found that the average lifespan of available recordings from UEAs was 622 days, although we provide several examples of these UEAs lasting over 1000 days and one up to 9 years; human implants were also shown to last longer than non-human primate implants. We also found that electrode length did not affect longevity and quality, but iridium oxide metallization on the electrode tip exhibited superior yield as compared to platinum metallization. Significance. Understanding longevity and reliability of microelectrode array recordings allows researchers to set expectations and plan experiments accordingly and maximize the amount of high-quality data gathered. Our results suggest that one can expect chronic unit recordings to last at least two years, with the possibility for arrays to last the better part of a decade.
The dependence of confinement on the isotope mass in the core and the edge of AUG and JET-ILW H-mode plasmas
Authors: Schneider P.A. , Angioni C. , Frassinetti L. , Horvath L. , Maslov M. , Auriemma F. , Cavedon M. , Challis C.D. , Delabie E. , Dunne M.G. , Fontdecaba J.M. , Hobirk J. , Kappatou A. , Keeling D.L. , Kurzan B. , Lennholm M. , Lomanowski B. , Maggi C.F. , McDermott R.M. , Pütterich T. , Thorman A. , Willensdorfer M. , the ASDEX Upgrade Team  , the EUROfusion MST1 Team  , JET Contributors
Published: December 2021

Experiments in ASDEX Upgrade (AUG) and JET with the ITER-like wall (JET-ILW) are performed to separate the pedestal and core contributions to confinement in H-modes with different main ion masses. A strong isotope mass dependence in the pedestal is found which is enhanced at high gas puffing. This is because the ELM type changes when going from D to H for matched engineering parameters, which is likely due to differences in the inter ELM transport with isotope mass. The pedestal can be matched in H and D plasmas by varying only the triangularity and keeping the engineering parameters relevant for core transport the same. With matched pedestals Astra/TGLF (Sat1geo) core transport simulations predict the experimental profiles equally well for H and D. These core transport simulations show a negligible mass dependence and no gyro-Bohm scaling is observed. However, to match the experimental observations at medium β it is required to take the fast-ion dilution and rotation into account. This is not enough for high β plasmas where for the first time a profile match between H and D plasmas was achieved experimentally. Under these conditions quasilinear modelling with TGLF over predicts the transport in the core of H and D plasmas alike.
Magnetic configuration scans during divertor operation of Wendelstein 7-X
Authors: Andreeva T. , Geiger J. , Dinklage A. , Wurden G. , Thomsen H. , Rahbarnia K. , Schmitt J.C. , Hirsch M. , Fuchert G. , Nührenberg C. , Alonso A. , Beidler C.D. , Beurskens M.N.A. , Bozhenkov S. , Brakel R. , Brandt C. , Bykov V. , Grahl M. , Grulke O. , Killer C. , Kocsis G. , Klinger T. , Krämer-Flecken A. , Lazerson S. , Otte M. , Pablant N. , Schilling J. , Windisch T. , the W7-X Team
Published: December 2021

Wendelstein 7-X (W7-X) (Greifswald, Germany) is an advanced stellarator, which uses the modular coil concept to realize a magnetic configuration optimized for fusion-relevant plasma properties. The magnet system of the machine allows a variation of the rotational transform (iota) at the boundary. In the latest W7-X operational phase a dedicated configuration scan has been performed varying the rotational transform between magnetic configurations with iota = 5/4 and iota = 5/5 at the boundary. This paper presents an overview of the experiments and of the main results with respect to confinement and stability. The main observation is an increase of the plasma energy in several intermediate configurations of the scan when the 5/5-islands are close to the plasma boundary but still inside the last-closed-flux-surface. In addition, these configurations showed marked MHD-activity with a crashing behavior related to the 5/5-islands. The corresponding mode amplitude was correlated with the size of the internal 5/5 islands.
Localization effects due to a random magnetic field on heat transport in a harmonic chain
Authors: Cane Gaëtan , Bhat Junaid Majeed , Dhar Abhishek , Bernardin Cédric
Published: December 2021

We consider a harmonic chain of N oscillators in the presence of a disordered magnetic field. The ends of the chain are connected to heat baths and we study the effects of the magnetic field randomness on heat transport. The disorder, in general, causes localization of the normal modes, due to which a system becomes insulating. However, for this system, the localization length diverges as the normal mode frequency approaches zero. Therefore, the low frequency modes contribute to the transmission,

T

N

(

ω

)

, and the heat current goes down as a power law with the system size, N. This power law is determined by the small frequency behaviour of some Lyapunov exponents, λ(ω), and the transmission in the thermodynamic limit,

T

∞

(

ω

)

. While it is known that in the presence of a constant magnetic field

T

∞

(

ω

)

∼

ω

3
/
2

,

ω

1
/
2

depending on the boundary conditions, we find that the Lyapunov exponent for the system behaves as λ(ω) ∼ ω for

B

≠
0

and λ(ω) ∼ ω
2/3 for

B

=
0

. Therefore, we obtain different power laws for current vs N depending on

B

and the boundary conditions.
Assessing Wear Out of Tyre using Opencv & Convolutional Neural Networks
Authors: Kishor Kumar Reddy C , Anisha P R , Madana Mohana R
Published: December 2021

This work proposes a process to detect the wear and tear of car tires. Tire is the only part of the road that does not interact with the road. The condition of the wheel should therefore be monitored in a timely manner for safe driving. Tired fatigue occurs due to limitations such as that the tread limit is less than 1.6 cm, the damage to the rubber, where there are pipes around 4 to 5, the affected tire. We look at some of the above limitations of tire wear testing using computer viewing techniques such as opencv and convolutional neural networks. Opencv and convolutional neural networks are widely used for object detection and image classification. We used these methods and obtained 90.90% accuracy, with which we can predict tire wear to avoid dangerous accidents..
Predict Diabetes Mellitus Using Machine Learning Algorithms
Authors: Farhana Bano , Munidhanalakshmi K , Madana Mohana Dr R.
Published: December 2021

Diabetes mellitus has become a very frequent disease that affects totally different organs of human body. Diabetes cause diverge depending on genetic, family history, health and environmental factors. Diabetes mellitus refers to a gaggle of diseases that affect how your body uses blood glucose. The underlying reason behind diabetes varies by type. But, despite what kind of diabetes you’ve got, it will cause excess sugar in your blood. Diabetes will be of two types, they are Type1 Diabetes and Type2 Diabetes. Early prediction will help in society a lot. It will provides the humanlife in safe way. The aim of this analysis is to develop a system that predicts the diabetes with a better accuracy. Parameters used to predict the type of Diabetes Mellitus are Glucose, Pregnancies, skin thickness, Blood pressure, Insulin, BMI, Diabetes pedigree function, age and upshot. In this we are with different machine learning algorithms, namely SVM, ANN, Decision tree, Logistic regression and Farthest first to predict the accuracy. Our experimental results show that farthest first attain superior correctness compare to dissimilar machine learning techniques.
Pole Like Object Detection using PCA inTerrestrial LiDAR System
Authors: Agarwal P , Husain A , Ranjan RK
Published: December 2021

Many vertical objects like trees, poles, and pole like structures play a crucial role in the inspection of road safety and planning for road development. The detection of such objects further proves to be helpful in averting roadside accidents and other problems. Light Detection and Ranging technology can be used in identifying these objects. In this paper, we have proposed to detect pole like structures from the dataset generated using a Light Detection and Ranging system. Our proposed pole like object detection approach first segments data into multiple small clusters. The clusters are further analyzed to compute the covariance to identify the linear relationship among the variables. Then eigenvectors and eigenvalues are computed to identify the directions and strength of the data points of clusters. Finally, the Principal Component Analysis approach is used to detect the pole-like structures. The approach is used to identify the target object which uses a threshold value for the angle of the object greater than 70° with respect to the surface. It also uses a normalized eigenvalue equals to 0.7. The efficiency of the proposed is recorded as 93.7%, and the time taken to process the data and detection of the pole-like structures from the dataset is 15 min and 30 sec.
MAC Based Security Integration using Face Recognition in Cloud Environment
Authors: Yash Sharma , Neeraj Kumar Pandey
Published: December 2021

The major challenges, which come across face recognition system, are to find the age and gender in 2D/3D image of the person specifically in cloud environment. This paperis centered on face detection with MAC (Media Access Control) and biometric technology. Face scanning along with machine’s MAC address and biometric technologies has been shown to improve security controls. Face recognition can be used to search and label users and their assigned machines for sensitive purposes. Following that, it was stored in a specific database with their unique ID. In addition, the verification process has begun by comparing the models in the database. Face scanning along with speech and biometric technologies is used to improve security controls. Face recognition system may also be set up in high security machines to improve protection by allowing only registered individuals or others users. Related strategies for determining the age and gender and 2D/3D image from a specific picture are explored, as well as several modern methods for preserving protection. In this paper, the full model is explored independently with security implemented in cloud environment. The proposed model of the paper provides the integrated security features using MAC address of machine and face recognition of the machine user.
Secure Cloud Risk Architecture analysis for Mobile Banking system and its performance analysis based on Machine learning approaches
Authors: Rajarajeswari P. , Sreevani M. , Lalitha Suryakumari P.
Published: December 2021

With advances in the mobile communications, many service-related tasks can be made quickly and easily. Mobile banking is one such service that has eliminated the need for a consumer to go to a branch to carry out many common transactions. In a country like India, where the last mile reach through brick-and-mortar banking facilities, mobile phones can complement the reach. This paper describes how mobile cloud architecture can be employed for banking and services to customers to enhance their banking experience as well as ensuring information security. This paper focuses on cloud-based risk architecture for banking solutions to address various issues related to mobile banking such as processing speed and storage capacity. Improved random forecast algorithm is used for the evaluation of the system. This proposed system achieves 99% of the system.
Indian Currency Denomination Recognition and Fake Currency Identification
Authors: Padmaja B , Naga Shyam Bhargav P , Ganga Sagar H , Diwakar Nayak B , Bhushan Rao M
Published: December 2021

Visually impaired and senior citizens find it difficult to identify different banknotes, driving the need for an automated system to recognize currency notes. This study proposes recognizing Indian currency notes of various denominations using Deep Learning through the CNN model. While not recognizing currency notes is one issue, identifying fake notes is another major issue. Currency counterfeiting is the illegal imitation of currency to deceive its recipient. The current existing methodologies for identifying a phony note rely on hardware. A method completely devoid of hardware that relies on specific security features to help distinguish a legitimate currency note from an illegitimate one is much needed. These features are extracted using the boundary box region of interest (ROI) and Canny Edge detection in OpenCV implemented in Python, and the multi scale template matching algorithm is applied to match the security features and differentiate fake notes from legitimate notes.
A Survey on Techniques used in Medical Imaging Processing
Authors: Chatterjee Priyadarshini , Sushama Rani Dutta
Published: December 2021

Automated diagnosis of diseases in the recent years have gain lots of advantages and potential. Specially automated screening of cancers has helped the clinicians over the time. Sometimes it is seen that the diagnosis of the clinicians is biased but automated detection can help them to come to a proper conclusion. Automated screening is implemented using either artificial inter connected system or convolutional inter connected system. As Artificial neural network is slow in computation, so Convolutional Neural Network has achieved lots of importance in the recent years. It is also seen that Convolutional Neural Network architecture requires a smaller number of datasets. This also provides them an edge over Artificial Neural Networks. Convolutional Neural Networks is used for both segmentation and classification. Image dissection is one of the important steps in the model used for any kind of image analysis. This paper surveys various such Convolutional Neural Networks that are used for medical image analysis.
She-Pwm Low Cost Multi Level Inverter for Pv Based Water Pumping Applications
Authors: Garapati Durga Prasad , Nalli Praveen Kumar , Swaroop K P , Vijay Kumar Y
Published: December 2021

In this article different multi-level inverter (MLI) configuration is introduced by a decreased quantity of power elements. At the output side the MLI topology generates the seven level voltage waveform with minimum number of components. The said topology configuration requires less dc voltage and power semiconductor switches. It also reduces the voltage block on switches, which reduces the inverter topology complexity and costs. Such capabilities were discovered by contrasting the topology to traditional topologies from the above perspectives. Testing were carried out to demonstrate the efficacy of the generalized MLI topology in both simulation and hardware, and the findings are presented for better understanding.
Design of Exponentially Weighted Median Filter Cascaded With Adaptive Median Filter
Authors: Nalli Praveen Kumar , Kadali Kalyan Sagar , Bhukya Ramu , Palleswari Y.T.R. , Siva Asapu , Pragaspathy S
Published: December 2021

The objective of this paper is to design an II phase algorithm employing median filters for enlightening the performance in removing impulse noise during the processing of the image. The cascaded filter section employs an Adaptive median filter in the first phase followed by a Recursive weighted median filter (RWM) in the second phase. The RWM filter weight is selected with the Median Controlled Algorithm. As a design parameter, the exponential weights of RWM filters are used in the feedback path. The projected algorithm can achieve suggestively improved quality of image when compared to fixed weight or the Center Weighted Median filters.
Insights into Artificial Neural Network techniques, and its Application in Steganography
Authors: Gurunath R , Samanta Debabrata
Published: December 2021

Deep Steganography is a data concealment technology that uses artificial intelligence (AI) to automate the process of hiding and extracting information through layers of training. It enables for the automated generation of a cover depending on the concealed message. Previously, the technique depended on the existing cover to hide data, which limited the number of Steganographic characteristics available. Artificial intelligence and deep learning techniques have been used to steganography recently and the results are satisfactory. Although neural networks have demonstrated their ability to imitate human talents, it is still too early to draw comparisons between people and them. To improve their capabilities, neural networks are being employed in a number of disciplines, including steganography. Recurrent Neural Networks (RNN) is a widely used technology that automatically creates Stego-text regardless of payload volume. The features are extracted using a convolution neural network (CNN) based on the image. Perceptron, Multi-Layer Perceptron (MLP), Feed Forward Neural Network, Long Short Term Memory (LSTM) networks, and others are examples of this. In this research, we looked at all of the neural network approaches for Steganographic purposes in depth. This article also discusses the problems that each technology faces, as well as potential solutions.
Face Recognition System with Machine Learning
Authors: Padmakar Vuppu , Ramana Murthy B V
Published: December 2021

This venture plans to give improved security by enabling a client to realize who is actually getting to the framework utilizing facial acknowledgment. The framework enables just approved clients to get entrance. Python is a programming language utilized alongside Machine learning methods and an open source library which is utilized to configuration, construct and train Machine learning models. Interface component is additionally accommodated unapproved clients to enroll to obtain entrance with the earlier authorization from the Admin.
Utilization of Reclaimed Asphalt Pavement Material in Wet Mix Macadam (W.M.M)
Authors: Sejvani Ajaykumar , Amin A.A. , Zala L.B.
Published: December 2021

Reclaimed asphalt pavement (RAP) is one of the innovative and effective technologies in many places in the world. The utilization of RAP is rapidly increasing popularity and becoming an emerging technique in India. As per IRC-120:2015, removing or reprocessing pavement materials containing aggregates that are bitumen coated is termed as RAP. These materials are gained through a process in which the existing surface pavement is reclaimed and reused after processing for reconstruction, resurfacing, or repaving. Well graded and high-quality aggregate are achieved from this process. Proper utilization of RAP with specified properties and specified percentages, not only serve as an alternative useful pavement material but also helps in reducing the usage of natural construction material, that will directly reduce the overall cost of projects. By conducting tests as per MoRTH specifications (5th Revision), the various characteristics of RAP material and fresh aggregates are observed. The main objective of the study is to carry out the performance tests: Modified Proctor test on fresh material as well as on material mixed with reclaimed asphalt pavement i.e. 10%, 20%, and 30% of total mix and to achieve optimum moisture content and maximum dry density by using Modified Proctor Test. Attempts are carried out to design a new pavement using Indian Road Congress (I.R.C-37:2018) guidelines and utilization of RAP material. Economic benefits are calculated in terms of fresh and RAP (10%, 20%, and 30%) mix material pavement.
Partial Replacement of Pumice Stone in Concrete As Coarse Aggregate Material
Authors: Sagar S , Darshan M.M , Roja M , Kalappa UP
Published: December 2021

In design of concrete structures, concrete plays an important role in the contemporary background as raw material for construction has been decreased. Therefore construction industry has acquaint with novel methods by making use of the available waste material for partial replacement by using alternative aggregates instead of ordinary aggregates. In this study, pumice stone is used as replacement materials for concrete where it is found in the abyssal of the red clay or in deepest portion of the ocean, and partially replacing by Pumice, blends with cement. The physical, mechanical and durability properties of concrete was investigated by conduction compressive strength and tensile strength on the ordinary and replaced concrete with varied percentage of pumice from 5% to 30%. It’s obsereved that environmental and economical benefits can be achieved if waste materials can be used to replace the coarse aggregate in order to use the waste materials effectively in areas with abundant availability of materials. This thesis work on the effectiveness of partial substitutions of pumice for coarse aggregate in producing adequate strength gain. In the present thesis work comparison of fresh concrete and hardened properties of concrete for both conventional concrete and Replaced concrete for varying percentage of replacement of pumice stone to coarse aggregate and based on the experimental results, it’s concluded that 25% partial replacement by pumice gives maximum compresive strength.
Accident & Alcohol Detection Surveillance Robot
Authors: Rajani Devi M. , Jyothi V.
Published: December 2021

Nowadays in India many accidents are occurred due drunk and drive. So, we have made a project to resolve and predict these incidents, in which we used Arduino, Alcohol sensor, GSM and GPS modules. Here the Alcohol sensor is placed inside the car which will detect whether the driver of the car has drunk or not. If the driver is drunk then the Alcohol sensor will get triggered and the car engine will not turn ON or it will OFF the engine if it is already in ON state. Here the other two modules which are GSM and GPS. If the car has met with an accident the limit switch which is present inside the car will trigger the Arduino by which an SMS will be sent to the particular contacts which are been saved in the Arduino program. The GPS will be connected to the number of satellites so that when the car met with the accident the live location of the car will be sent to the contact through the GSM module. This entire setup of GPS and GSM will be kept inside the car. This entire project can reduce the accidents which are occurred by the drunk and drive and dead corners and also predict the location of the accidents. It results in increasing the human safety and protection
Monitoring and Controlling Solar Photovoltaic (PV) Performance with Active Cooling System using IoT
Authors: Razak M F A , Hasan M Z , Jobran J A M , Jamalli S A S
Published: December 2021

Solar photovoltaic technologies are worldwide renewable energy sources. However, the elevated temperature in solar panels is one explanation for reducing the performance of solar systems. An active air cooling system can be mounted on the back of the solar panel to avoid this phenomenon. In order to ensure that the solar system runs smoothly, monitoring needs to be done at each place where this solar energy system is located. The Internet of Things (IoT) is a network of linked, internet-accessible physical objects. It is the technology of the next generation that will soon be extended to society. The IoT refers to the system or ecosystem in which devices are connected to the Internet in real-time. Based on IoT, a smartphone can track the temperature of the solar panel anytime and anywhere. To overcome this problem, a Blynk IoT system monitors solar power status and controls the cooling air system. NodeMCU was the main microcontroller used in IoT systems. The IoT framework can be implemented easily and efficiently using NodeMCU. The experimental results of this project will monitor the performance of the solar panel and monitor it.
Design and Development of IoT based Garbage Monitoring and Management System
Authors: Nooriman W M , Lim R Y , Rudzuan M N , Sofi Y , Fauzi M M , Abdullah A H
Published: December 2021

Daily garbage production causes increasing in garbage management and cleansing cost which required an approach for better monitoring and management system to be applied. Currently, demand of IoT keep increasing as a part of Industrial Revolution 4.0 (IR4.0). Eventually, this IoT based Garbage Monitoring and Management System has been developed. For hygiene, self-opening dustbin lid is applied and IoT technology is used to integrate better garbage monitoring and management into an innovative and effective system. The development of this smart bin uses a pair of infrared sensors and an ultrasonic, push notifications were developed in Blynk application, and user-friendly infographic data is designed on webpage for monitoring and garbage management purposes. The smart dustbin notifies the user when the garbage level exceeds 80%. The dustbin sends a push notification to the user’s phone to alert the user to take actions needed before the bin exceed the limit.
Relative Localization Method of Wet Spot of Grain using Array of Passive RFID Tags
Authors: Azmi Noraini , Kamarudin Latifah Munirah , Mohamed Latifah , Zakaria Ammar , Fazalul Rahiman Mohd Hafiz , Mamduh Syed Zakaria Syed Muhammad , Ndzi David Lorater
Published: December 2021

Radio Frequency Identification (RFID) enables a large number of object monitoring since semi/passive tags are independent of batteries. In our previous work, the possibility of using different wireless technologies such as Wireless Sensor Network (WSN), Wireless Local Area Network (WLAN) and Radio Frequency Identification (RFID) to determine the moisture content in rice was investigated. Finding from our previous work suggest that RFID can be used to determine the moisture content of rice. While numerous research have been conducted for moisture content of grain, however, to author’s knowledge, there is only a few studies conducted on the localization of grain hostpot. Therefore, this study aims to investigate if the passive RFID array can be used to localize the location of the wet spot of grain. Prior, the experiment, a suitable setting for the RFID system were determined. In addition, a simple test was conducted to select a suitable operating frequency. From the investigation, the result indicates that only frequency channels 865, 866, 867, 868 and 869 MHz can detect all 30 tags. Meanwhile, frequency channel in the range 902 to 928 MHz detects 26 to 29 unique tags. Hence, 868 MHz was selected as the operating frequency throughout the experiment. The findings indicate that the RSSI value measured by the RFID reader decreased as the moisture of the sample increased when the tags were blocked by the sample placed at the designated location during the test.