bluuebunny/crossref_metadata_2025 huggingface dataset:
Large contribution of quasi-acoustic shear phonon modes to thermal conductivity in novel monolayer Ga2O3
Authors: Liu Gang , Zhang Zhaofu , Wang Hui , Li Guo-Ling , Wang Jian-Sheng , Gao Zhibin
Published: September 2021

Bulk gallium oxide (Ga2O3) has been widely used in lasers, dielectric coatings for solar cells, and deep-ultraviolet transistor applications due to the large bandgap over 4.5 eV. With the miniaturization of electronic devices, an atomically thin Ga2O3 monolayer has been unveiled recently, which features an asymmetric configuration with a quintuple-layer atomic structure. The superior stability, the strain-tunable electronic properties, high carrier mobility, and optical absorption indicate the promising applications in the electronic and photoelectronic devices. However, the strict investigation of lattice thermal conductivity (κL) of 2D Ga2O3 is still lacking, which has impeded the widespread use in practical applications. Here, we report the computational discovery of low κL with a value of 10.28 W m−1 K−1 at 300 K in atomically thin Ga2O3. Unexpectedly, two quasi-acoustic shear phonon modes contribute as high as 27% to the κL at 300 K, leading to 37% contribution of optical phonon modes, much larger than many other 2D materials. We also find that the quasi-acoustic shear mode can emerge in the system without van der Waals interactions. This work provides a new insight into the nature of thermal transport in non-van der Waals monolayer materials and predicts a new low κL material of potential interest for thermal insulation in transistor applications.
Microparticles separation using acoustic topological insulators
Authors: Dai Hongqing , Xia Baizhan , Yu Dejie
Published: September 2021

Acoustic topological insulators have exotic states on their topological interfaces, which provide an extraordinary approach to control the sound wave with a backscattering-immune property. Non-contact particle manipulations play an important role in life science, and acoustic tweezers are gaining increasing attention due to their better biological compatibility. In this Letter, we use an acoustic topological insulator to achieve non-contact particle manipulations such as microparticle trapping and separation. Based on the Su–Schrieffer–Heeger (SSH) model, we can obtain the topological interfacial states. Then, we calculate the flow distribution fields and acoustic radiation force distribution fields, and the results show that we can separate two particles with the same size and density. Our study provides a guide to design topological insulator devices and achieves non-contact label-free microparticle manipulations, which exhibits enormous application potential in the biomedical field.
Surface and subsurface damage in 14 MeV Au ion-irradiated diamond
Authors: Bunk K. , Alencar I. , Morgenroth W. , Bertram F. , Schmidt C. , Zimmer D. , Gruszka P. , Hanefeld M. , Bayarjargal L. , Trautmann C. , Winkler B.
Published: September 2021

The effects of ion irradiation on the surface and the subsurface of synthetic diamonds were characterized by using optical microscopy, atomic force microscopy, Raman spectroscopy, x-ray reflectivity, electron backscatter diffraction, and resistivity measurements. Irradiation experiments with 14 MeV Au6+ ions with fluences up to 2.4×1015 ions/cm2 were carried out on synthetic single crystal diamonds, grown either at high pressure or by chemical vapor deposition, and on polycrystalline samples with high boron concentrations. We show that the ion irradiation-induced changes to the surface and subsurface of diamonds are rather complex and, especially in the first few nanometers, more severe than generally considered. We establish a model describing the changes in density, defect concentration, topology, crystallinity, and bonding from the surface down to the first few micrometers of the irradiated diamond.
Submillimeter-resolution magnetic field imaging with digital micromirror device and atomic vapor cell
Authors: Liu Chen , Dong Haifeng , Sang Junjun
Published: September 2021

Magnetic field source localization and imaging happen at different scales. The sensing baseline ranges from meter scale, such as magnetic anomaly detection, to centimeter scale, such as brain field imaging, to nanometer scale, such as the imaging of a magnetic skyrmion and single cell. Here, we show how an atomic vapor cell can be used to realize a baseline of 109.6 μm with a magnetic sensitivity of 10 pT/Hz1/2 @0.6–100 Hz and a dynamic range of 2062–4124 nT. We used a free induction decay (FID) scheme to suppress low-frequency noise and avoid scale factor variation for different domains due to light non-uniformity. The measurement domains are scanned by a digital micromirror device. The currents of 22, 30, 38, and 44 mA are applied in the coils to generate different fields along the pumping axis, which are measured respectively by fitting the FID signals of the probe light. The residual fields of every domain are obtained from the intercept of linearly fitting of the measurement data corresponding to these four currents. The coil-generated fields are calculated by deducting the residual fields from the total fields. The results demonstrate that the hole of shield affects both the residual and the coil-generated field distribution. The potential impact of field distribution measurement with outstanding comprehensive properties of spatial resolution, sensitivity, and dynamic range is far-reaching. It could lead to capability of 3D magnetography for small things and/or organs in millimeter or even smaller scale.
Scattering of surface traveling wave and its attenuation in absorbing coating
Authors: Zheng Lei , Yang Xianzhao , Gong Wei , Li Xiangcheng , Zhu Yingli , Chen Pingan
Published: September 2021

Surface traveling waves (STWs) contribute greatly to non-specular scattering, but their scattering and attenuation characteristics in an absorbing coating are unclear. Thus, the scattering peak angular location and the electromagnetic (EM) loss of the STWs are calculated. The results show that the thickness of an absorbing coating should be appropriate to achieve a large EM loss in wide frequency bandwidth, and the magnetic loss is dominant in the attenuation constant. Moreover, radar cross section (RCS) features of the STW and the effect of EM parameters’ imaginary part on the RCS reduction of the STW at 6 GHz were investigated. The simulated results show that the wedge model can effectively excite the STW. Meanwhile, the permeability μ″ of the coating material has a more significant influence on the RCS reduction of the STW than the permittivity ɛ″. Furthermore, the simulated results were verified by the experimental results with an error of less than 20%.
Spatiotemporal dynamics of free and bound excitons in CVD-grown MoS2 monolayer
Authors: Akmaev M. A. , Glazov M. M. , Kochiev M. V. , Vinokurov P. V. , Smagulova S. A. , Belykh V. V.
Published: September 2021

We study photoluminescence (PL) spectra and exciton dynamics of the MoS2 monolayer (ML) grown by the chemical vapor deposition technique. In addition to the usual direct A-exciton line, we observe a low-energy line of bound excitons dominating the PL spectra at low temperatures. This line shows unusually strong redshift with an increase in the temperature and submicrosecond time dynamics suggesting indirect nature of the corresponding transition. By monitoring the temporal dynamics of exciton PL distribution in the ML plane, we observe diffusive transport of A-excitons and measure the diffusion coefficient up to 40 cm2/s at elevated excitation powers. The bound exciton spatial distribution spreads over tens of micrometers in ∼1 μs. However, this spread is subdiffusive, characterized by a significant slowing down with time. The experimental findings are interpreted as a result of the interplay between the diffusion and Auger recombination of excitons.
Air film contact modes of drop impact on lubricated surfaces under reduced pressures
Authors: Zhang Lige , Soori Tejaswi , Rokoni Arif , Kaminski Allison , Sun Ying
Published: September 2021

Air film evolution underneath a drop impacting on a surface can cause the drop to either bounce off or make contact. Water drops impacting on a dry surface exhibited a transition from bouncing to the kink and film modes of contact. Additionally, a dimple mode of contact was observed on a lubricated, smooth surface. Here, we report experimental findings of drops impacting on a lubricated, smooth surface under both reduced and atmospheric pressures using liquids of two different viscosities. The kink mode observed on a dry surface only occurs at low impact velocities under reduced pressures but is completely absent at the atmospheric pressure on a lubricated surface. The horizontal extent of the dimple agrees well with the incompressible and compressible scaling within the inertial regime. The experimentally measured horizontal extent of the kink shows good agreement with the existing theoretical scaling. Slight deviations in the contact mode transition were observed between experiments and previously reported simulations, presumably due to the velocity slip at the air–lubricant interface in the present study.
Nursery dens of Dasyurus geoffroii (Marsupialia: Dasyuridae), with notes on nest building behaviour.
Authors: Serena M. , Soderquist T.R.
Published: September 2021

NA
Shelter selection by a small mammal community in the wet-dry tropics of Australia.
Authors: Braithwaite R.W.
Published: September 2021

The location of shelter used by nine species of small mammals released after capture during a mark-recapture study in tropical woodland and open forest was recorded whenever possible. A quantitative profile of such post-release behaviour by different species permits its incorporation into analyses of habitat selection. Characteristics of post-release behaviour also provide clues about the nature of predation pressure on various species. Arboreal species tended to select tree species with boles having camouflage potential. Small species used small holes. Scansorial species used the greatest range of sheltering sites. Average distance moved to shelter was inversely related to the mean density of a species.
Distributional records for two 'relict' dasyurid marsupials in north Queensland rainforest.
Authors: Laurance W.F.
Published: September 2021

NA
Estimation of the age of the Koala, Phascolarctos cinereus (Marsupialia: Phascolarctidae), from tooth wear and growth.
Authors: Gordon G.
Published: September 2021

Wear of the premolar and molar teeth of the Koala, Phascolarctos cinereus, was studied at two localities, in central and southern Queensland respectively. Tooth wear was classified into 10 tooth wear classes (TWC). Mean ages were determined for TWCs 1- 6, ranging from 1.2 to 7.3 years. An age estimate is also given for TWC 7 (9 years), but is based on data from only one known age animal. Rate of tooth wear varied greatly between animals from the same area, but there was no difference in rate of wear between the two localities, at which diets differed (Eucalyptus tereticornis / E. microtheca versus E. populnea). TWC is useful for dividing samples of animals from P. cinereus populations into separate age classes and for giving an approximation to the age of particular animals. The correlation between age and head length of P. cinereus of known year class was examined. Head length differs between P. cinereus from year classes 0, I and 2, and may be used to place animals in this age range into a year class.
The roles of vision and vibrissae in the predatory behaviour of Northern Quolls Dasyurus hallucatus (Marsupialia: Dasyuridae).
Authors: Pellis S.M. , erlely R and Nelson J.E.
Published: September 2021

The predatory behavior of captive quolls (n= 13) on mice was videotaped and analysed . The role of vision was studied by comparing the behaviours of fully blind, and one-eyed quolls to fully sighted ones. The role of tactile inputs via the vibrissae was studied by vibrissae amputation in both fully blind and fully sighted quolls. The data indicated that vision plays a role in both locating and attacking prey, although in its absence, other sensory stimuli can be substituted. Vibrissae were found to play a role in orienting the attack, although in their absence, either visual or more direct tactile contact (eg, nose or forepaws) could be substituted for this function. Once the mice were bitten, neither vision nor vibrissae appeared to be involved in orienting the prey for delivery of the killing bite.
New mammals recognised for Australia - Antarctic and Subantarctic Fur Seals Arctocephalus species
Authors: Shaughnessy P.D.
Published: September 2021

Recent authoritative texts on Australian mammals include several pinniped species but most omit the Antarctic Fur Seal Arctocephalus gazella and Subantarctic Fur Seal A. tropicalis. The former species breeds at Heard Island; at Macquarie Island it breeds in territories with A. tropicalis. Information is tabulated on skulls of these two species held in Australian museums. It is argued that they should be included in comprehensive lists of Australian mammals.
Observations on the birth of a Matschie's tree-kangaroo (Dendrolagus matschiei) in captivity.
Authors: Goonan P.
Published: September 2021

NA
An observation of little-red flying foxes (Pteropus scapulatus) feeding on lerps.
Authors: Law B.S. , Lean M.
Published: September 2021

NA
Book Review: Dorothy Tunbridge, 1992. The story of the Flinders Ranges mammals. Kangaroo Press: Sydney.
Authors: Burbidge A.
Published: September 2021

NA
Sugar preferences ofthe Queensland Blossom Bat, Syconycteris australis: a pilot study.
Authors: Law B.S.
Published: September 2021

Preferences of captive blossom bats for sugar types and concentrations were investigated. Blossom bats did not display a clear preference when presented pure sucrose or glucose solutions or an equal volume mixture of sucrose, glucose and fructose. However, a trend for avoidance of pure fructose solutions was evident. In contrast, blossom bats were very sensitive to variations in sugar concentration, preferring the most concentrated sugar solution (40 %) to the almost complete exclusion of others. These results suggest flowers may be chosen on the basis of sugar concentration and are discussed in reference to the highly specialised nectar/pollen diet of blossom bats.
The pre-European and present distributions of Antechinus godmani (Marsupialia: Dasyuridae), a restricted rainforest endemic.
Authors: Laurance W.F.
Published: September 2021

New capture localities for the Atherton Antechinus (Antechinus godmani), a restricted endemic in north Queensland rainforest, help clarify the northern limits of its geographic range. I summarise these records, then use recent knowledge of the habitat and altitudinal requirements of A. godmani to estimate both its pre-European and present distributions, as well as the impact of deforestation on this species. Before European settlement, the total range of A. godmani may have encompassed an area of 2900 km2. Since then, its range has been reduced by more than 820 km2, resulting in extensive fragmentation of populations in the northern half of its range. The current distribution of A. godmani may exceed 2000 km2, a figure that easily triples earlier estimates for this species.
Repeatability and standardisation of roadside spotlight counts of mammals in Tasmania.
Authors: Southwell C. , Fletcher M.
Published: September 2021

NA
The eating of seedheads by species of Macropodidae.
Authors: Jarman P.J.
Published: September 2021

Macropodids have usually been considered to be predominantly folivorous. This study suggests that this assumption is not always true. A review of appropriate studies shows that several species occasionally eat substantial proportions of seeds, seedheads or fruit. In particular, monocot seedheads form over 10% of the intake of some species, seasonally or irregularly. This study investigated that phenomenon by analysing the occurrence of monocot seedhead in the diet of the Black-striped Wallaby Macropus dorsalis. The wallabies consumed large proportions of monocot seedheads, in summer more than in other seasons. Grass species differed in the apparent acceptability of their seedheads. Individual faecal pellets differed greatly in the proportions of seedhead epidermis that they contained. Seedheads tend to be abundantly available on the plants only briefly in Australian vegetation associations. While available they may be of great importance to the resource ecology of some macropodid populations. Eating seedheads may have been important in the evolution of grazing in the relatively small macropodids.
A morphometric study of the skulls of two species of wombats (Vombatus ursinus and Lasiorhinus latifrons).
Authors: Nakajima K.
Published: September 2021

The skulls of the wombats, Lasiorhinus latifrons and Vombatus ursinus, were measured in order to compare the craniofacial morphology, including sexual dimorphism, in these two species. The skulls of V. ursinus tend to be bigger than that of L. latifrons. In both species measurements of males are greater than those of females. The difference between maxillary and mandibular inter-molar breadth was greater, and the skull length/zygomatic arch breadth ratio was smaller, in V. ursinus than in L. latifrons. It is proposed that the masseter muscles of V. ursinus are better developed than those of L. latifrons, and that the interspecific difference in skull form is influenced by environmental factors and diet.
Uberization of translation
Authors: Fırat Gökhan
Published: September 2021

Digital labour platforms, encompassing on-demand translation work via apps and websites, have grown exponentially
in recent years and have significant consequences for translation workers. This study explores the critical literature on digital
labour platforms from a labour studies perspective and submits the findings of a quantitative survey of 70 translation workers
residing in Turkey and working on/for digital labour platforms. Our research suggests that the introduction of digital labour
platforms into translation production and business networks has not yet provided a significant contribution to the working
conditions of translation workers in Turkey. Instead, we argue that their working conditions have been rearranged and reorganized
in accordance with the uberization of (translation) work. According to the survey findings, engaging in such work on/for digital
labour platforms exposes translation workers to risks related to employment status, income level, work-life balance, social
protections, free agency, bargaining power, dependence on the platform, allocation of risks and rewards, and data collection,
protection and privacy.
EGFR-RAS-MAPK signaling is confined to the plasma membrane and associated endorecycling protrusions
Authors: Surve Sachin , Watkins Simon C. , Sorkin Alexander
Published: September 2021

The subcellular localization of RAS GTPases defines the operational compartment of the EGFR-ERK1/2 signaling pathway within cells. Hence, we used live-cell imaging to demonstrate that endogenous KRAS and NRAS tagged with mNeonGreen are predominantly localized to the plasma membrane. NRAS was also present in the Golgi apparatus and a tubular, plasma-membrane derived endorecycling compartment, enriched in recycling endosome markers (TERC). In EGF-stimulated cells, there was essentially no colocalization of either mNeonGreen-KRAS or mNeonGreen-NRAS with endosomal EGFR, which, by contrast, remained associated with endogenous Grb2-mNeonGreen, a receptor adaptor upstream of RAS. ERK1/2 activity was diminished by blocking cell surface EGFR with cetuximab, even after most ligand-bound, Grb2-associated EGFRs were internalized. Endogenous mCherry-tagged RAF1, an effector of RAS, was recruited to the plasma membrane, with subsequent accumulation in mNG-NRAS–containing TERCs. We propose that a small pool of surface EGFRs sustain signaling within the RAS-ERK1/2 pathway and that RAS activation persists in TERCs, whereas endosomal EGFR does not significantly contribute to ERK1/2 activity.
Antiferromagnetic Kitaev interaction inJ
eff
= 1/2 cobalt honeycomb materials Na3Co2SbO6 and Na2Co2TeO6
Authors: Kim Chaebin , Jeong Jaehong , Lin Gaoting , Park Pyeongjae , Masuda Takatsugu , Asai Shinichiro , Itoh Shinichi , Kim Heung-Sik , Zhou Haidong , Ma Jie , Park Je-Geun
Published: September 2021

Finding new materials with antiferromagnetic (AFM) Kitaev interaction is an urgent issue for quantum magnetism research. We conclude that Na3Co2SbO6 and Na2Co2TeO6 are new honeycomb cobalt-based systems with AFM Kitaev interaction by carrying out inelastic neutron scattering experiments and subsequent analysis. The spin–orbit excitons observed at 20–28 meV in both compounds strongly support the idea that Co2+ ions of both compounds have a spin-orbital entangled J
eff = 1/2 state. Furthermore, we found that a generalized Kitaev–Heisenberg Hamiltonian can describe the spin-wave excitations of both compounds with additional 3rd nearest-neighbor interaction. Our best-fit parameters show significant AFM Kitaev terms and off-diagonal symmetric anisotropy terms of a similar magnitude in both compounds. We also found a strong magnon-damping effect at the higher energy part of the spin waves, entirely consistent with observations in other Kitaev magnets. Our work suggests Na3Co2SbO6 and Na2Co2TeO6 as rare examples of the AFM Kitaev magnets based on the systematic studies of the spin waves and analysis.
Origin of terahertz excitations in single-crystalline lead substituted M-type barium hexaferrite doped with Al
Authors: Ahmed A G , Prokhorov A S , Anzin V B , Vinnik D A , Bush A , Gorshunov B P , Alyabyeva L N
Published: September 2021

Single-crystalline lead substituted M-type barium hexaferrites doped with different concentrations of Al3+, synthesized by flux technique are investigated at terahertz and infrared frequencies (8-8000 cm−1). The spectra of reflection coefficient (R), transmission coefficient (T), complex dielectric permittivity (ε` and ε``) were obtained using terahertz time-domain, and infrared Fourier transform spectrometers over a broadband frequency range 0.24-240 THz and at temperatures 5 K-300 K. The observed absorption lines are assigned to the electronic transitions within the fine-structured ground state of Fe2+ ions at terahertz frequencies and to optical phonon mode at far-infrared frequencies. To analyze the origin of terahertz excitations in the compounds, we provided a model that accounts for the second-order spin-orbit interactions, the triagonal distortion of the crystal field, and the selection rules of the (C3v) point group symmetry of tetrahedral site-position of Fe2+.
Microwave studies of reflective coatings based on natural graphene-like carbon
Authors: Kovalchuk A A , Prikhodko A V
Published: September 2021

In this work, shielding coatings based on graphene-like carbon films have been investigated. To design the shielding, the Costas massif theory is applied. For microwave studies, the method of recording standing waves with a microwave interferometer was used. The resulting coatings are safe, durable, ecological and have an electromagnetic radiation reflection coefficient of 10-20 dB.
Modelling and Simulation of 16-bit Vedic Multiplication Using FPGA
Authors: Shylaja C , Rai Amrita , Mishra Puneet Kumar
Published: September 2021

As India is becoming digital India, so focusing towards digitization, there is requirement of updating the capacity of the processors becomes essential. Arithmetic is the basic component of any processors, multiplication is one of the principal procedure utilized in a number-crunching activities. To design the multiplication module require more hardware resources in contrast with addition & subtraction module. Therefore the present paper deals with study of multiplier to be operated using low power, less area & complexity and execution done with high speed in less time. Hence the implementation of the multiplier with above all requirements through Vedic Science. Vedic mathematics is primordial method of mathematics, which uses the exclusive techniques founded on sixteen sutras. The proposed paper focused on urdhva tirvakbhyam sutra, which is one of the method in Vedic mathematics dedicated for multiplication as it can be solved easily using vertical and crosswise manner. According, it diminishes the time, power, speed and in terms of area also. This paper discusses the 16-bit Vedic multiplication using verilog coding and simulation mode via software..
Students’ Perception and Reconciliation: Decision Making in Project Groups Formation
Authors: Rajeshwari K , Hegde Apurva Rohit , Patil Drishika
Published: September 2021

Academics is a huge repository of research avenue. Students tend to behave and adapt to the classroom based on their peer influences. Peers help in the increase of communication skills. Research shows group study is more effective than individual study. Group formation is influenced by several factors, like friendships, demographically and linguistically similar. Toppers are more considerate but again based on comfort level friends are chosen. In this paper the changes in preferences of group mates are analyzed, and inferences are drawn over their reconciliations.
Floor Area – Carbon Emission Relationship of Multi Residential Buildings for a Typical Metropolis: A Case of Surat City
Authors: Pastagia D.
Published: September 2021

Energy utilized in private division in India is ever expanding, as 43 percent of all out energy is utilized for air dissemination framework in residential buildings. Be that as it may, two current advancements increment the significance of outflows stages in all structure structures they are immediate and backhanded CO2 discharges relying upon numerous boundaries. The energy execution of a home, volume of a house, number of apparatuses [electricity utilization, fuel utilizes (gas utilization), and number of occupants] are the components thought of. A field investigation of various housing forms in the Indian setting is directed to gather information dependent on different variables. Additionally, conversations on current state of energy utilization conduct in Indian abodes are featured. Based on information investigation, discharge models are created through relapse strategy to streamline arranging and planning of vitality use exercises in private homes.
IoT based real time low cost home quarantine patient aid system using blynk app
Authors: Zaveri Karan A. , Amin Mihir H. , Amin Margiv S. , Patel Mansi R.
Published: September 2021

Recently, the world has been hit by COVID-19 pandemic. Nearly about every country has been devastated as they lack a proper health infrastructure. India is one such country where overpopulation is the key reason not everyone has access to medical facilities and are therefore forced to home quarantine. IoT is an ingenious technology which opens a new digitised path in terms of data storage and processing in today’s medical world to provide the healthcare systems with the best networking techniques. In this present paper, the authors have created a framework of body temperature, oxygen saturation level (SpO2), BPM (heart rate) and air quality sensors based innovative smart disease surveillance system with amalgamation of nodeMCU. The obtained output is displayed on the LCD display and additionally with the aid of IoT-cloud based app (blynk) the doctor can monitor real time health data. Also, a key feature named Report generates and sends the readings in CSV/Excel format. The health parameters of the proposed prototype have a maximum deviation of 1%, is cost-effective, portable, reliable and high functionality as compared to the commercially available one.
Detection Of Albumin And Urea Concentration In Urine Using 2d Photonic Crystals
Authors: Sharma Sanjeev , Gupta Shradha
Published: September 2021

A biosensor has been created for the detection of albumin and urea in urine by using 2-D photonic crystal. The refractive index of whole urine is a function of wavelength, it constitutes such as albumin, urea etc. for sensed transmittance, quality factor and power efficiency. In case of albumin and urea in urine, the concentration varies with respect to the refractive index of urine. The resonant wavelength as well as transmission efficiency of the biosensor is shifted towards the higher order of wavelength region when the refractive index of urine component varies from high to low. It’s also observed that both albumin and urea in urine have a low quality factor, high transmission efficiency and good sensitivity.
Development of Pervasive IoT Based Healthcare Monitoring System for Alzheimer Patients
Authors: Yadav Piyush , Kumar Pratik , Kishan Prem , Raj Prince , raj Utkarsh
Published: September 2021

Alzheimer is a neurological degenerative disease that steadily and gradually progresses. This disease is incurable at present and those who suffer from it have the hesitation to travel beyond their homes in comparison to normal people. The main aim of this paper is to offer a continuous mechanism that enhances the Alzheimer patient’s quality of life as well as that of their caregivers. Proposed work is based on the Internet of things (IoT) based sensors data that figure out different parameters of the patient body like temperature, blood pressure, striding action, striding speed, and so on. All these sensory data will be obtained with the help of the Atmega Microcontroller. All the collected data are then sent to the cloud server with the help of parallel communication for data analysis. The desired parameter of the patient is retrieved which will help in providing real time support to the patients.
Influence of N-Butanol Composition on Membrane Performance in Coagulation Bath for Membrane Distillation
Authors: Dayanandan Nanditha , Palanisamy Kavin Kalyaan Marappan , Kapoor Ashish , Sivaraman Prabhakar
Published: September 2021

Membrane Distillation is one of the extensively used desalination technologies for the utilization of the waste heat in the industries. The membranes used in for membrane distillation have to be hydrophobic in nature so as to permeate only vapour through the membrane pores. In this background, there is a necessity to develop membranes with better hydrophobicity and mechanical strength for overall performance. In this paper, we discuss the preparation of polyvinylidene fluoride homopolymer by phase inversion technique using N-methyl pyrrolidone as solvent. Water and n – butanol in varying compositions by weight percent from 0 to 100% is used as non-solvent. Contact angle and permeate flux were measured for the synthesized membranes. The results indicated that the membranes made of PVDF immersed in 100 % n-butanol coagulation solution shows good hydrophobic behaviour and also achieved higher permeate flux compared to the other membranes reported in literature.
Analogous Research of Classical PI Controller and Fuzzy Logic Controller to Control the Speed of D.C. Servo Motor
Authors: Dipraj  , Singh Anurag , Singh Rishikesh Kumar , Sharma Savitri
Published: September 2021

Servo motors are widely used in several fields such as industrial, electronics and robotics etc. The precise positioning & speed control of servo motor is compulsory for desired result and output. In this study, the speed control of dc servo motor is compared utilizing two different controllers. First is a classical PI controller while the second one is a fuzzy logic controller (FLC). PI controller and FLC both can be utilized for controlling the speed of servo motor. Both techniques provide good results but the fast response for the proposed calculation is achieved by the fuzzy logic controller. MATLAB/SIMULINK provide the conventional tool to analyze the model precisely so that the performance of servo motor is satisfactory. The performance of both controllers is compared and analyzed on different parameters such as speed, current for DC Servo Motor.
A review on elicit potentials in the brain to recognize Brain-Machine interface
Authors: Jafar Mohd Rizwan , Srivastava Ashish Kumar
Published: September 2021

Brain-machine interface is a technique with the help of which a user can generate a control signal to operate a machine by manipulating its state of cognition. In this technique, electrical signals generated in the central/peripheral nervous system are used to generate commands to interact with machines. In this paper, authors reviewed this technique in detail to find out the state of the art. This paper is written in such a way that a beginner can understand what a brain machine actually is. In this paper different types of methods to elicit signals for brain machine interface is explained along with different types of methods to record the signals. It is also described the state of the art in feature extraction and classification methods used in brain machine interface.
Real Time Vehicle Recognition System for Secure Environment
Authors: Rai Amrita , Agrawal Reshu , Karatangi Shylaja V. , nayak Seema
Published: September 2021

An automatic system based on “Digital Image Processing” technology is developed using MATLAB tool to recognize the vehicle by identifying the license plate. A database is linked to the MATLAB processor, which takes input as the detected number plate. Information about the owner is extracted and electronic format of the challan is generated if the number plate is in wrong format. Also in case of theft or crime, the required number plate is fed to the database system and if it is matched with the detected number plate, an alert is generated. The captured image is in RGB format which is converted into grey scale. Here theories and techniques used to identify the area and Edge detector operators is used to measure threshold values to get the dilated image. After that flood fill operation can be used to stuff the wholes to get a fine binary picture. The fundamental steps to identify the vehicle license plate and plate size, then the partitioned picture is amplified with gray scale only to get the license plate of vehicle. Afterwards the template matching process done to match the image from license plate and template’s picture, thus the number plate detected is then matched with one stored in the database system to get complete information of the vehicle owner. The first section in your paper.
Investigation of dynamic behavior of Hollow Rotor Shaft System through FEM
Authors: Gupta Ashish , Yadav Viswajeet Singh , Chauhan Sandeep
Published: September 2021

Generally, there is two kinds of rotor system used for transforming the power from one source to another, one is solid rotor system, and another is the hollow rotor shaft system. In comparison to solid shaft, the hollow shaft is of less weight, for a given diameter and length. In addition, the hollow shaft has a larger Strength to weight ratio and has a greater polar moment of inertia. Thus, they can transmit more torque compared to solid shafts. The main purpose of this paper is to analyze the dynamic behavior of hollow shafts with a particular interest in estimation of damping. This study also evaluate the dynamic response of different rotor thicknesses at various speeds where hollow shafts and solid shafts modelled through ANSYS 16. The proposed analysis performed in both frequencies as well as time domains, in which the Campbell diagram, the critical speed, and the orbits are numerically determined. Further, this study also illustrates the convenience of the hollow shafts at different inner diameters for rotor dynamics applications. The analytical results (ANSYS 16) were validated through the experimental results.
Low-Cost Asset Tracking and Inventory Management System (ATIM)
Authors: Vadi Vivek , Kotadiya Ayush , Solanki Rajdipsinh , Khambalkar Mohan M.
Published: September 2021

In any supply chain, the warehouse is the main component in linking the chain partners and nowadays it acts as a competitive factor. Current Inventory management Systems are slow, inefficient concerning managing and tracking the huge demand for large inventory traffic and hence make a poor customer experience while managing large, urgent and important inventories. Internet of Things (IoT) is a promising technology that can be used in the context of Industry 4.0. This paper aims to improve inventory management efficiency multi-folds and enhance stock SCM (supply chain management) analysis for market planning. This solution strengthens store operations & inventory management smartly, safely and efficiently. Also, the blocks and layers of IoT are illustrated. Finally, the benefits and challenges of implementing IoT in the SCM and the warehouse are discussed.
Design and Implementation of a SSH Proxy System Based on B/S Architecture
Authors: Cui Wenchao , Gou Minghao
Published: September 2021

The SSH protocol is one of the most commonly used protocols in the current operation and maintenance process, but the commonly used SSH clients are all implemented based on the C/S architecture, which causes the operation and maintenance personnel to face cross-platform problems, and when accessing from the external network It is also necessary to develop corresponding VPN according to different platforms. This paper proposes a SSH proxy system based on B/S architecture. The client of the system is based on a browser, which solves the cross-platform problem of different clients and facilitates the use of remote operation and maintenance personnel.
AdaDiff: Adaptive Gradient Descent with the Differential of Gradient
Authors: Huang Dian , Yin Dawei , Zhang Lijun , Peng Dezhong , Li QiLin
Published: September 2021

Optimization methods are crucial to train deep neural networks. Adaptive optimization methods, especially Adam, are wildly used because they aren’t sensitive to the selection of learning rate and converge fast. Recent work point out Adam has a performance gap with SGD and even not converge because of the unstable and extreme learning rates. Many variants of Adam are proposed to solve the problem, such as AMSGrad, AdaBound and AdaBelief. In this paper, we propose a new variant of Adam, called AdaDiff. AdaDiff computing gradient descent step size by the exponential moving average(EMA) of gradient and differential of gradients aiming to make the training of networks more stable. We compare our method with other optimizers on various tasks. The results show AdaDiff outperforms Adam and minimizes the performance gap with SGD.
Collaborative filtering recommendation algorithm integrating user similarity and trust
Authors: Huang Mengge , Cao Kai , Zhang Jingyi , Zhang Chuanlin , Deng Tao
Published: September 2021

The rapid development of the Internet has brought convenience to people and has also produced the problem of “information overload”. In view of the traditional collaborative filtering algorithm facing some bottlenecks to be solved, this study proposes a collaborative filtering algorithm that combines similarity and trust. First of all, in view of the large deviation of traditional similarity calculation and prediction of user ratings, this study proposes an optimized Pearson correlation coefficient calculation method; secondly, the trust relationship is established based on the user’s rating of the common project, and the trust relationship between users who do not have a direct trust relationship is established through the transfer of trust; then find the nearest neighbor set of the target user through the fusion of user similarity and trust; finally, the item is scored and predicted to generate a recommendation list. Experimental results show that the algorithm proposed in this study can effectively improve the accuracy of recommendation.
Semantic Segmentation of Parking Lot Scene Based on Surround View System
Authors: Wu Jie , He Ye , Chen Xiaoan
Published: September 2021

Semantic segmentation of parking lot scenes is the prerequisite of environment perception for automatic parking technology. It provides environmental semantic information for automatic parking of vehicles. However, due to the dim light of the parking lot environment, unclear ground signs, road reflections and other factors, semantic segmentation such as FCN The method is not yet able to segment ground signs such as background and lane lines to meet the perception needs of automatic parking. This paper proposes a parking lot scene semantic segmentation method based on a surround view system. The surround view system consists of 4 fisheye cameras. The images acquired by each camera are subjected to distortion correction, inverse perspective transformation and image stitching fusion to obtain a ring view. Based on the ring view, a semantic segmentation algorithm based on attention and feature fusion is proposed. Experiments are carried out on a self-made parking lot dataset with a size of 1280x960 pixels. The results show that the method proposed in this paper improves the mIoU of the FCN model by 12.3%.
Facemask Detection using Inception V3 Model and Effect on Accuracy of Data Preprocessing Methods
Authors: Li Yongyuan
Published: September 2021

Nowadays, image classification done by Machine Learning can classify images within an instant after an efficient model is built. Such techniques can help identify whether a person correctly puts a mask on. During the Covid situation, it is important to ensure the people in public areas put on a mask correctly so it can cut off the route of mass infection. In this paper, three classes of image classification were tested: with mask, without mask, and mask-weared-incorrectly. Based on the Google Colaboratory platform and Inception V3 model, a three-classes-detect-model with 94.52% testing accuracy was built. In addition to building the models, the effectiveness of data preprocessing has also been tested. After applying different methods for data preprocessing, the testing accuracy for the two-classes-detector model improved to 97.11% but the three-classes-detector model decreased to 94.26%.
Research and design of a data desensitization system
Authors: Li Wei , Li Chuan
Published: September 2021

With the extensive implementation of SG186 Project and SG-ERP Project, State Grid has accumulated abundant data resources, and the hidden information in these data resources can create great value. But at the same time, the security of massive data has become more important. From the perspective of system design, workflow and key technology of power information desensitization system, this paper analyzes and studies the sensitive level and data type of sensitive information, matches the corresponding desensitization strategy and completes a series of operations of desensitization task, so as to realize the protection of sensitive data in power information under big data environment.
Optimization Research on Initial Seeds of the Database Management Systems Fuzzing Framework Squirrel
Authors: Song Manning
Published: September 2021

Squirrel is one of the most effective fuzzing frameworks for finding memory errors in database management systems. But its efficiency is affected by initial seeds significantly. In order to improve the fuzzing efficiency of Squirrel, we optimized its initial seeds. The main factors affecting its efficiency are the average grammatical distance and the number of texts of initial seeds. Increasing these two factors at the same time can greatly improve the fuzzing efficiency of Squirrel.
Design and Development of Water Supply and Drainage Virtual Simulation Training System
Authors: Xiong Wei , Zhang Hao , Liu Yi
Published: September 2021

Traditional practical teaching of water supply and drainage is often faced with problems such as limited faculty and course time, easy worn-out of equipment and safety risk in practical training, which brings many inconveniences to schools, teachers and students. In order to make up for the shortage of traditional water supply and drainage practical training teaching, the teaching environment and the process was simulated by virtual reality technology, and a virtual simulation training system for water supply and drainage was developed. Taking the course project of steel pipe threading as an example, this paper shows the construction situation of manual and electric steel pipe threading project, systematically explains the principle involved in the virtual training system of water supply and drainage, emphatically expounds the key technologies, and the implementation scheme was given.
A non-integer step ratio parallel computing method for hybrid finite-element and discrete-element on multi-core computer
Authors: Li Tong , Gao Ge , Jin Xianlong
Published: September 2021

Commercial finite-element and discrete-element software usually adopts a unified computational time step and limit the number of our computer cores. In the face of large-scale with refined scale computing models, this will undoubtedly increase the time cost. The multi time step method of integer step ratio is a method to deal with this kind of problem. A non-integer ratio multi-time step computing method based on domain decomposition and subcycling method is proposed and applied to the finite-element and discrete-element engineering problems. The whole model is divided into finite-element method (FEM) subdomains and discrete-element method (DEM) subdomains according to the load balance of CPU. A coupling region between adjacent domains consists of multiple boundary nodes and particles based on the non-integer step ratio. Boundary data in coupling region are transferred through MPI communication protocol. This method can make full use of the advantages of multi-core computer and improve the calculation efficiency of engineering software.
Topic Extraction of Online Curriculum Reviews
Authors: Wang Cheng , Zhou Ya
Published: September 2021

With the advent of the era of intelligent education, online learning has become a new way of learning. Online learning will produce a lot of review data, this paper focuses on how to correctly reflect learners’ emotional attitude towards the curriculum, this paper studies the mining of text topic emotion in MOOC course review data set. Firstly, the balanced algorithm is used for sample equalization, secondly, we use Albert + bilstm model to classify course reviews, finally, the LDA model is used to extract the corresponding topics. Compared with the experimental model, the proposed model has higher accuracy and stability. Machine learning method has some advantages, but the model is more complex, and it can be simplified in the future.
The Quality Evaluation of Online Book Reviews Based on Graph Neural Network
Authors: Zhang Can , Liu Wei , Mu Qi , Zhang Deshan , Meng Fancheng
Published: September 2021

With the development of the Internet, the way people read has changed, the readers are more and more willing to share their reading opinions via the reading platforms. However, as the continuous increase in the number of users and reviews on the book platforms, the review data is growing exponentially. It is difficult for people to find useful information quickly in the massive reviews. Therefore, using automated methods to identify high-quality reviews among a large number of book reviews has become a hot topic in current research. This paper studies a quality evaluation method of book reviews based on graph convolution neural network, which introduces the LDA document topic generation model to add topic nodes on the basis of review and word nodes, builds the relationship between the three nodes as edges to generate heterogeneous graph. The graph is sent to a two-layer GCN model for training. In the last, this article did experimental evaluation and analysis based on the book review data of non-commercial platforms. The results show that the proposed method is superior to the machine learning method and the traditional neural network model.