bluuebunny/crossref_metadata_2025_split huggingface dataset:
Network security prediction model using neural networks
Authors: Venkatesh Raghav , Muthalagu Raja 
Published: December 2020

Abstract
The aim of this paper is to design a robust network security prediction model. The designed model is an intrusion detecting model constructed using neural networks. The intrusion detecting model detects anomaly and misuse-based attacks. Intrusion detecting model also performs three kinds of classification tasks. The tasks include classifying between occurrence of an attack or a normal case, classifying between different attack types or a normal case and classifying between occurrence of a attack or other case. The intrusion detecting model also shows the classification accuracy, execution time and amount of memory usage. The objectives of the intrusion detecting model are high accuracy, low execution time and minimum amount of memory usage. The intrusion detecting model constructed using neural networks, fulfils the objectives of high accuracy, low execution time and minimum amount of memory usage.
Syllable based approach for text to speech synthesis of Assamese language: A review
Authors: Sarma Parismita , Sarma S K 
Published: December 2020

Abstract
In this review article authors are trying to put light on text to speech synthesis of Assamese language using unit selection concatenative speech synthesis technique. Assamese is one of the North East Indian languages spoken by millions of people. This article tries to highlight some major difficulties when developing the synthesizer. The speech units used to concatenate for building the synthesizer is syllable. Assamese is a syllable centric language and syllable based concatenation gives more natural sound. A discussion is done with phoneme and diphone units as well. There is also a short overview on development process of the Assamese synthesizer on festival framework as a part of review. Another challenging task the researchers dealt with is building speech corpus for a low resource language like Assamese.
Faster R-CNN classification for the recognition of glaucoma
Authors: Ajitha S , Judy M V 
Published: December 2020

Abstract
Glaucoma is an optic neuropathy characterized by progressive degeneration of retinal ganglion cells. The early identification of Glaucoma is extremely important as it is detrimental to one’s blindness. In this paper, we present the identification of glaucoma using faster R-CNN which is one of the most well-known object detection neural networks. The proposed method uses artificial intelligence and enhanced deep learning to detect Glaucoma. Faster R-CNN comprises two modules, the region proposal network (RPN), in which the region of object is distinguished on the picture, and a network that enables to classify the objects in the proposed region. We have accomplished the finest output by applying a transfer learning scheme with ResNet50 and VGG16. Using ResNet we have detected Glaucoma with up to 96% accuracy. The test results obtained by making use of two unique publicly available data sets DRISHTI_GS and ORIGA with 751 images demonstrate that this arrangement can be a significant alternative for the computer design aid framework for the large-scale screening programs of glaucoma detection.
Design and development of alternative method for vibration issues in Locomotive Wagon wheels
Authors: Kandekar Prithviraj , Patil Basangouda , Kulkarni Koustub , Kotyal Rahul , Joshi Sudhanva , Patil Arun Y , Kotturshettar B B 
Published: December 2020

Abstract
Locomotive transportation is one of the important sectors in the field of transportation. Hence, passengers’ experience plays a vital role in the improvement of the public transportation. The present research article addresses the vibrational issues that occur due to lack of damping in the public transportation. The study focuses on reducing vibrations in locomotive transportation systems by the use of Anti-vibrational pad (AVP). Various results obtained from the experimentations involving modal analysis, random vibration analysis, harmonic response analysis, and fatigue analysis are validated using Ansys workbench. The study also compares the obtained experimental data with the existing approach. The study resulted in a positive outcome, with the possibility of being able to build a practical and more stable damping set-up in public transportation, which in-turn can improve the passengers’ experience.
Dynamic characteristic of combined viscous and Coulomb damping under varying nature of material and coefficient of friction
Authors: Mathu Ananya , Badr Syeda Roquiya 
Published: December 2020

Abstract
Practically, most systems possess characteristics of both viscous damping and Coulomb damping. A model of combined viscous and Coulomb damping is analysed while taking into account the different nature of materials. Different material contact surfaces exhibit distinct coefficients of friction which has an effect on the displacement response of a vibratory system. The study involves analysis of a linear spring-mass damper system by varying its material parameters, taking frictional force into account. The response in terms of maximum displacement amplitude is examined while varying the values of coefficient of friction. Material parameters such as natural frequency (varied by mass and stiffness each), damping ratio and coefficient of friction are studied. The research is conducted using theory of combined viscous and dry friction damping and graphical observations are made to study the response in view of different surface contacts.
Experimental quality improvement of the application of antifriction coating
Authors: Abdullah Rasheed A , Ihor Shepelenko , Eduard Posviatyenko 
Published: December 2020

Abstract
The paper presents studies aimed at improving the quality of the application of antifriction coatings by finish antifriction non-abrasive treatment (FANT). It is proved that one of the conditions for the formation of a high-quality anti-friction coating is the targeted formation of favorable shapes and sizes of microroughnesses in the operations preceding the coating. The effectiveness of the use of turning when substantiating the creation of the necessary shapes and sizes of microroughness is justified. A procedure for applying an antifriction coating by a friction-mechanical method is proposed, which allows multiple studies on one specimen. For the adopted processing scheme by using the developed devices and methods, the relationship between the geometrical parameters of the micro-relief and the quality parameters of the coating is established, this make it possible to improve the quality of the application of antifriction coatings by FANT.
The research on the dynamics of the three-impulse system of automatic control of water supply to the steam generator when the load changes
Authors: Xakimovich Siddikov Isamiddin , Maxamadjonovna Umurzakova Dilnoza 
Published: December 2020

Abstract
The paper analyses an operation of the typical three-impulse automatic control system (ACS) of the steam generator water supply. A mathematical model has been developed to test its operability for load shedding, allowing you to set maximum deviations of the water level without full-scale tests, without adjusting the operation settings technological protections by the level of water in the drum. Reasons identified static regulation errors when working out internal and external disturbances in the flow rate of superheated steam in a typical ACS. The relevance of modernization of a typical ACS power supply to the steam generator water. Altogether, under all influences, a significant improvement in the quality of regulation was obtained compared to a typical three-impulse automatic power control system. The relevance of modernization of a typical system of automatic control of water supply of a steam generator to eliminate static regulation errors in a wide range of changes loads.
Dynamic simulation model for different type of wheeled mobile robotic drives on leveled surface
Authors: Patel P S , Trivedi R 
Published: December 2020

Abstract
Dimensions of wheel base, payload weight and geometry, and type of drive configuration are some of the major factors to be consider during prototyping of a mobile robotic drive. For analysing the effect of such factors, a dynamic simulation model valid for any drive configuration using simple, omni or mecanum wheels is discussed in this paper. Sub-systems to take into account the inertia, motor characteristics normal force, friction force and wheel slip are discussed. Preliminary simulation results for path anticipation, for a control algorithm, for a four wheels omni drive robot with uneven mass distribution and variation of normal force due to acceleration of the robot are also shown in this paper. The simulation model is developed in Simulink/MATLAB.
Design of work holding device for machining wheel hubs
Authors: Hemanth M , Dheeraj P R , Hamritha S , Rajesh B , Vamshi Krishna S R 
Published: December 2020

Abstract
Work holding device plays a significant role in the manufacturing of the component that is custom made for any operation. Over the past decade, there has been an increase in mass production and in turn, it has increased the demand for forged components. Wheel hub is an important component of an automobile. It connects the wheel assembly to the axle and the shaft. It is also responsible for the safety of the vehicle as well as the driver. The work holding is the primary issue of the machining operation to be challenged. The objective of this project describes the detailed definition of work holding devices and identifies several benefits that relate to the use of work holding devices in manufacturing. Some of it includes increase in production rate and cost reduction. Parts manufactured with precision and accuracy eliminates the inspection and quality expenses. It helps CNC or VMC machines perform operations by itself and serves the necessary purpose with minimal errors as there is not much of human interference. Implementing this kind of simple and effective mechanism in manufacturing sector drastically reduces the cost of labour and cycle time, thereby increasing the quantity and quality of production. The forged component already manufactured needs to undergo various operations with respect to its orientation. To perform required operation a special Collet system was designed and manufactured to the respective work holding.
Effect of combined U-shaped and semi-circular rib on heat transfer augmentation of solar air heater-A CFD study
Authors: Manjunath M S 
Published: December 2020

Abstract
This paper presents the numerical analysis on the impact of combined U-shaped rib and semi-circular rib on heat transfer augmentation of flat plate solar air heater system.The analysis is done using the ANSYS Fluent software for various flow Reynolds number ranging from 8000 to 17000. The ribs are placed alternately on the underside of heated plate for a fixed stream-wise pitch of 35mm. The rib height is so chosen that the diameter of semi-circular rib equals the rib height of U-shaped rib. The rib height (e) is varied as 2mm, 3mm and 4mm. The analysis reveals that the combined ribs augment the heat transfer to a maximum extent of about 1.67 times as compared to the smooth duct. Ribs of greater height are found to produce greater enhancement in heat transfer due to increased flow mixing effect. The friction factor is found to increase with rib height and the highest increase is found to be about 1.73 times as compared to smooth duct for Re=8000.
Optimization of milling process parameters of aluminium alloy LM6 using response surface methodology
Authors: Shivakumar M R , Hamritha S , Shilpa M , Mirunalini  , Gouda Kavya S 
Published: December 2020

Abstract
This paper discusses the use of response surface methodology (RSM) for maximizing Metal Removal Rate (MRR) and minimizing Surface Roughness (Ra) in machining LM6 alloy material. The levels of three machining parameters spindle speed, feed rate and depth of cut are optimized during end milling operation. RSM is used for this experimentation. The regression models are developed and effect of each parameter on MRR and Ra is identified through the regression models. The results are analyzed through response surface and contour plots. The significant parameters are identified through Analysis of Variance (ANOVA) for MRR and Ra; all three parameters are significant for MRR, whereas spindle speed and feed rate are significant for Ra. Response surface optimization shows that the milling parameters are 2550RPM, 0.202mm/rev and 1mm for spindle speed, feed rate and depth of cut respectively. The maximum value for MRR is 0.043kg/min and that for surface roughness is 2.007μm at optimal parameter levels.
Evolution of the East Asian winter land temperature trends during 1961–2018: role of internal variability and external forcing
Authors: Gong Hainan , Wang Lin , Chen Wen , Wu Renguang 
Published: December 2020

Abstract
Detecting the contributions of internal variability and external forcing to the evolution of surface air temperature (SAT) trend at regional scales is a challenge. Based on the observations and large-ensemble simulations of climate models, we estimate the contribution of the internal and forced components to the evolution of East Asian winter land SAT (EAWT) during 1961–2018. Although the external forcing induced EAWT trends show a slow increase, both the total and internally generated EAWT trends exhibit a decrease with the extension of the time period, suggesting a critical role of internal variability in the evolution of the EAWT trends. The internal variability contributes to about 70% of total EAWT trends during 1961–1995. With the extension of the time period, the contribution of internal variability decreases, whereas the contribution of external forcing gradually grows to dominate the EAWT trends. Based on the dynamical adjustment method, we identify that the internal dynamics and forced thermodynamics account for a majority of internal and forced EAWT variations, respectively. We further identify that the multidecadal fluctuation of internal component of autumn Arctic sea ice is a critical precursor of the internal variability, especially the internal dynamically induced EAWT variations, through triggering a meridional stationary Rossby wave response in the following boreal winter. Our findings provide an insight into the understanding of the present and future climate change over East Asia.
Plastic in global rivers: are floods making it worse?
Authors: Roebroek Caspar T J , Harrigan Shaun , van Emmerik Tim H M , Baugh Calum , Eilander Dirk , Prudhomme Christel , Pappenberger Florian 
Published: December 2020

Abstract
Riverine plastic pollution is of global concern due to its negative impact on ecosystem health and human livelihood. Recent studies show a strong link between river discharge and plastic transport, but the role of floods is still unresolved. We combined high-resolution mismanaged plastic waste data and river flood extents with increasing return periods to estimate flood-driven plastic mobilisation, from local to global scale. We show that 10 year return period floods already tenfold the global plastic mobilisation potential compared to non-flood conditions. In the worst affected regions, plastic mobilisation increases up to five orders of magnitude. Our results suggest a high inter-annual variability in plastic mobilisation, previously ignored by global plastic transport models. Flood defences reduce plastic mobilisation substantially, but regions vulnerable to flooding often coincide with high plastic mobilisation potential during floods. Consequentially, clean-up and mitigation measures and flood risk management are inherently interdependent and need to be managed holistically.
The full spectrum of AdS5/CFT4 II: Weak coupling expansion via the quantum spectral curve
Authors: Marboe Christian , Volin Dmytro 
Published: December 2020

Abstract
We continue the effort to optimise and generalise the solution of the spectral problem of AdS5/CFT4 in the planar limit via integrability. We present a simple strategy to solve the quantum spectral curve (QSC) perturbatively for general states by focussing on the P
μ-system. A Mathematica notebook with an implementation of this algorithm is provided, as well as an extensive database with a user-friendly interface containing more than 8000 solutions of the QSC. When investigating the solution space, we observe a curious phenomenon: existence of solutions for which the Q-system degenerates in the limit g → 0. These degeneracies are lifted at higher orders in perturbation theory. The degenerating solutions have auxiliary Bethe roots merging with branch points at weak coupling.
Climate and Weather Extremes in the Volga Federal Region
Authors: Perevedentsev Y P , Sherstyukov B G , Guryanov V V , Shantalinskii K M , Auhadeev T R 
Published: December 2020

Abstract
Climate and weather extremes observed in the Volga Federal Region (VFR) are studied in relation to the climatic changes taking place in the XX – XXI centuries. Weather observation data from 183 meteorological stations and ERA5 reanalysis data are used as a source material. It has been demonstrated that a significant jump in the annual temperature mean was registered, the number of large-scale positive anomalies exceeded the number of negative ones, the quantity of hot days grew, while the quantity of ice days dropped in the VFR at the turn of the XXI century. The dynamics of hazardous weather events (strong winds, convection phenomena) was characterized by a positive trend on the territory of the VFR within the period from 1991 to 2018.
Main modes of the Arctic Ocean circulation and a relationship between their trends and the Atlantic water heat content
Authors: Platov Gennady , Kraineva Marina , Golubeva Elena 
Published: December 2020

Abstract
A study is presented on integral variability in Arctic Ocean characteristics, such as the volume transport and the heat content of the Atlantic water (AW) layer, obtained as results of numerical simulations using a model, SibCIOM. On the basis of an EOF decomposition three non-degenerate modes are obtained for the integral stream function and three modes for the heat content of the AW layer in the Arctic. Considering the cross-correlations of the EOF principal components a 44-yr cycle is obtained. It relates the cyclonic circulation mode in the Arctic and the second mode of AW heat content, associated with the AW warming in the area of the Beaufort Gyre. The Atlantic Multi-decadal Oscillation (AMO) statistically can act as a source of such a cycle, however, the thus obtained correlation is at the limit of the admissible significance, and the period of AMO oscillations is 1.5-2 times longer. In our opinion, a relationship with fluctuations in the Atlatic Meridional Overturning Circulation (AMOC) seems to be more plausible. However, no understanding of the role of these two mid-latitude and polar processes in relation to what extent they act as a cause or a consequence has yet been established in this study.
Short-range forecast of heavy rainfall over the Kama River basin in 2019 with atmospheric models ICON, GFS and WRF
Authors: Shikhov A N , Bykov A V , Abdullin R K 
Published: December 2020

Abstract
The summer of 2019 was one of the wettest in the observation history in the western part of the Ural region. Excessive rainfall formed several rain flood events on the rivers of the Kama reservoir basin. In this study, we assess the accuracy of short-range (with a 15-27 h lead time) forecasts of heavy rainfall events observed in 2019 with global numerical weather prediction (NWP) models, ICON and GFS, and a mesoscale model, WRF, launched in a convection-permitting mode. Two metrics, Critical Success Index (CSI) and Extreme Dependency Score (EDI), are used to assess the forecast skills of the global NWP models. Throughout the study period, both global NWP models underestimate the frequency and intensity of heavy rainfall events, mainly due to the omission of local rainstorms. However, heavy precipitation related to cyclones or frontal waves is predicted quite successfully. In addition, we analyse in detail a heavy rainfall event on July 14-16, 2019 which caused a high flood in the western part of the Perm region. The most reliable simulation results have been obtained with the WRF model.
Microplastics in the snow cover of the south of Western Siberia
Authors: Malygina N S , Biryukov R Yu , Kuryatnikova N A , Mitrofanova E Yu , Pershin D K , Zolotov D V , Chernykh D V 
Published: December 2020

Abstract
Plastics production is growing all over the world, but the total emission of microplastics is unfortunately not reducing. In the external environment, plastics degrade over time. This leads to the appearance of smaller particles or fibers which are microplastics at sizes of less than 5 mm. Atmospheric transfer is for microplastics one of the main ways of entering the environment. The purpose of this study is to identify microplastics in the snow cover of the south of Western Siberia, as well as preliminarily assess the possible sources of their supply. Snow samples are taken during a period of maximum snow accumulation (March, 2020) according to requirements developed by the Norwegian Institute for Air Research. The microparticles are visually evaluated using a digital microscope, Dino-Lite AM211, a fluorescent dye solution, and a Wood lamp. To assess the possible atmospheric distribution and deposition of the particles, an analysis of the synoptic conditions based on data of NCEP/NCAR, ERA5, and HYSPLIT is performed. The microscopic analysis has shown that microplastics (namely, films, fibers, and granules) have been detected in 16 of the 18 snow samples in the city of Barnaul and adjacent territories, as well as fibers and granules have been revealed in 3 snow samples from the Kasmala River basin.
Ice rains in the Middle Urals
Authors: Kalinin N A , Sviyazov E M , Pomortseva A A , Pischalnikova E V 
Published: December 2020

Abstract
This article is devoted to ice rains in the Urals. The occurrence of events in the cold period of 2019-2020 is considered. The diurnal course of an event is revealed, and the frequency of the accompanying ice is established. The physical and synoptic conditions of ice rain are studied. A comparison of the state of the atmosphere during a period of ice rain, freezing precipitation and in the absence of phenomena is carried out. Radar data of ice rain events which cause heavy ice and significant material damage are presented. It has been found that the ice rains in the Middle Urals are formed under the influence of a warm front and in the warm sector of a cyclone. This event is mainly recorded during the daytime. The duration of the event is 31 minutes on average. The prevailing air temperature near the earth’s surface is -2.3 °C on average.
Applicability of reanalysis data to diagnosis of snow avalanches in the Caucasus Mountains
Authors: Kuksova N E , Toropov P A , Olenikov A D , Surkova G V 
Published: December 2020

Abstract
This work is devoted to assessing the use of reanalysis data for diagnosing the danger of avalanches using the Caucasus Mountains as an example. This method is applicable to entire mountain regions, not individual slopes, and uses the results of both observations and numerical modeling in the atmosphere. A comparison of observational and reanalysis data of Era-Interim, CFSR, and NCEP-NCAR is performed based on a classification of winters by using air temperature and precipitation data to assess avalanche hazard. The accuracy of the temperature and precipitation data and their influence on avalanche hazard are analyzed.