bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ensemble Method to classify multi class with concept drift
Authors: Vasantha Kokilam K , Ponmary Pushpa Latha D 
Published: December 2020

Abstract
Real world scenarios is expected to have more number of classes, evolution of new class, change in concept, different distribution of data etc., This paper focus on the joint problem of multi class imbalance problem and different types of concept drift detection. The proposed work Enhanced Concept drift based Resampling ensemble (ECDRE) algorithm addresses the combined issues of Multi Class Imbalance problem with different types of Concept Drifts using the Ensemble Relearning Model. In this framework, EMUOB and EMOOB algorithm helps to re-balance the multi class distribution of the latest block. Window based strategy is used to classify the multi class imbalance dataset with different types of drifts. A group of classifiers form an ensemble and members belonging to the ensembles are updated frequently, where weights are calculated to emphasis misclassification cost. Meanwhile, ECDRE is swiftly adaptable to new conditions. Observed studies proof that ECDRE algorithm is more effective for learning non-stationary environment which suffers from multi class imbalance with different types of concept drift. CDRE algorithm was implemented to deal with multi-class problem and concept drift, but it is not much efficient to handle all types of concept drift. Even in situations of Data Streams which suffer from drifts such as real, virtual and recurring types, ECDRE works well and shows overall better results of above 80% accuracy.
A survey on UFMC filter designs for 5G M2M
Authors: Nagarajan N R , Maheswari M 
Published: December 2020

Abstract
As of now, the 5G attempts to address the current OFDM-based LTE issues, for example, Bit Error Rate (BER), Spectral Loss, Signal to Noise Ratio (SNR), Symbol Error Rate (SER) and high peak-to-average power ratio (PAPR). Universal-filtered multi-carrier (UFMC) method can be measured as an up-and-comer waveform for 5G correspondences since it gives advantages by minimizing the Inter Symbol Interference (ISI) and Inter Carrier Interference (ICI) reasonable for low-idleness situations. There are various filters for designing an UFMC which suits for a 5G application. This survey is carried out because of the Industrial 4.0 revolutionary is going on at a higher phase for which Machine to Machine (M2M) communication is widely required for suitability and reliability leading to the 5G requirement for high speed data transfer with appropriate filter design.
Study on optimization of handoff process using fuzzy logic for mobile communication
Authors: Sreejith Shwetha , Rajak Abdul 
Published: December 2020

Abstract
This work gives a brief overview of handoff technology and how it is useful in the field of cellular communication. The work touches upon the differences and similarities between soft and hard handover. It also looks into how handoff algorithms can be optimized using fuzzy logic technology, and the various advantages of such an optimization over conventional methods of handover.
A survey of nature-inspired algorithm for partitional data clustering
Authors: Suresh Babu S , Jayasudha K 
Published: December 2020

Abstract
The aim of the clustering is representing the huge amount of data objects by a smaller number of clusters or groups based on similarity. It is a task of good data analysis tool that required a rapid and precise partitioning the vast amount of data sets. The clustering problem is bring simplicity in modelling data and plays major role in the process of data mining and knowledge discovery. In the early stage, there are many conventional algorithm are used to solve the problem of data clustering. But, those conventional algorithms do not meet the requirement of clustering problem. Hence, the nature-inspired based approaches have been applied to fulfil the requirements data clustering problem and it can manage the shortcoming of conventional data clustering algorithm. This present paper is conducting a comprehensive review about the data clustering problem, discussed some of the machine learning datasets and performance metrics. This survey paper can helps to researcher in to the next steps in future.
Machinability improvement of Inconel 718 during heat treatment - A review
Authors: Sanap V G , Shinde V D 
Published: December 2020

Abstract
The requirement for high strength and heat resistant materials is growing especially in aerospace applications. However, due to mechanical properties such as high wear resistance, resistance to abrasion, and low thermal conductivity, these materials are often difficult to machine, which makes cutting forces and cutting temperatures too high and leads to short tool life. Differences in material microstructures due to differences in chemical composition, casting, and foraging techniques and heat treatment may lead to variations in machinability. Different types of heat treatment are performed on the alloy Inconel 718. The alloy is characterized by the austenite matrix with a unique microstructure, which includes the matrix γ, sediment, y', γ”, 5 and carbide. The use of annealing process at different heating temperatures and rates of cooling enhances easy turning and longer tool life. In annealing, metal is heated above the critical temperature and cooled slowly in a medium over some time. Adhesion and hardness properties of the alloy cause short tool life. Elemental distribution, grain morphology, and texture of the built material are carefully evaluated using various material properties methods including TEM, SEM, EDS, and OM. Reviewed.
ANALYSIS AND REDUCTION OF HEAT TRANSFER IN A FURNACE OF REFINERY
Authors: Gunasekaran N , Shanmugaraja M , Bharathwaaj R , Shilpha Dharshini J , Vivishnu Kumar M , Yogesh Kumar P S 
Published: December 2020

Abstract
The primary goal of this work is to examine the current materials for insulation utilized in the furnace of a refinery unit and to limit the waste heat dissipation through the radiant wall subbing with legitimate insulation materials. There are some exceptional materials whose properties are appropriate for reducing the heat loss in the furnace walls which could clearly decrease the heat loss through the radiant walls. By critical examination of these materials, the external temperature of the furnace is determined to prove that these materials can be utilized as substitution to those of the standard insulation materials.
Design and analysis of engine mount for biodegradable and non-biodegradable damping materials
Authors: Kumar Akshay , Kiran A R , Hombalmath Mahesh , Mathad Manoj , Rane Siddhi S , Patil Arun Y , Kotturshettar B B 
Published: December 2020

Abstract
In the present automotive world high importance is given to the comfort and safety of the passenger. The comfort to the passenger signifies many terms such as the seating structure, leg space, air conditioning etc. The most important thing is that all the vehicles are subjected to vibrations such as from the engine or from external factors. The vibrations produced from the engine are transferred to the entire vehicle structure and this is reduced by placing engine mounts between the engine and the chassis. Designing the proper type of mount holds the key for effective reduction of vibrations. In this article a new design of the engine mount is proposed and taken into finite element analysis. Also, material for the mounts are considered to play a vital role. In this along with two regular materials, a biodegradable material is also used for the dampers. More importance is given to the frequency response of the mount for different materials and the finite element analysis is performed for a four-cylinder inline engine with two mounts on either side.
Optimization of thermal barrier coatings in a single cylinder diesel engine using thermal analysis and genetic algorithm
Authors: Sankar Vishnu , Gireeshkumaran Thampi B S , Radhakrishna Panicker M R 
Published: December 2020

Abstract
A significant portion of the energy produced by combustion inside an engine is rejected as heat. Though it is impossible to prevent heat rejection, reducing the amount of heat rejected will help to increase the useful energy. Low heat rejection engine is a solution to these problems as they supply designers with insulation properties. In the design of adiabatic engines, reducing heat rejection in cylinder requires the use of special type of insulation often referred to as thermal barrier coatings in the combustion chamber of the engine. This insulation especially on engine piston is considered as a solution for the reduction of unburned HC emissions caused by incomplete combustion with respect to crevice volume when engines start. The insulation layer in effect reduces the thermal conductivity and raises the oxidation of the unburned charge such that the metallic substrates are exposed to lower peak temperatures, thus reducing the thermal stress in engine components. In this work piston is modelled using CATIA V5R16. For analyzing the effects of insulation layer on the piston, thermal analysis is conducted using finite element method in ANSYS after applying thermal boundary conditions. By changing the coating thickness and performing thermal analysis on each coating thickness followed by the use of mathematical operations enables the optimization of piston coating thickness. This optimized coating thickness is validated using Genetic Algorithm.
Comparison of various approaches to pipe-pile capacity control for offshore wind turbines
Authors: Baca Michał 
Published: December 2020

AbstractTubular pipe piles have a wide application in geotechnical engineering, for example as foundation structures in rivers, lakes and for offshore structures. For assessment of pipe pile bearing capacity the static load test is often used due to its commonly consideration as the most reliable method of pile testing. Nevertheless, because of high costs of the test and difficulties with appropriate construction of kentledge system, the application of static load test is often limited. The great supplement to obtain information on pile’s capacity are tests conducted on model piles in small laboratory scale. In this paper, results of static load test conducted on small scale tubular model pipe pipes installed in non-cohesive homogenous soil are introduced. The installation process, pile testing procedure and equipment applied for continuous load and model pile head displacement measurement are presented. The results of tests are shown in load-displacement charts. For load-displacement curve construction and pile bearing capacity estimation from static load test several different method are introduced with their application to performed tests and discussion of the results. Finally, future research plans are proposed.
Recent aerodynamic performance evaluation of commercial and non-commercial vehicles
Authors: Saxena Shreyash , Mahesha G T , Srinivas G 
Published: December 2020

Abstract
The effect of aerodynamics of commercial and non-commercial are analyzed in this study and after analyzing it is founded that many researchers have not attempted much on the comparative study on two different types of commercial and non-commercial vehicle having a same turbulence model. Secondly, there is lack of numerical three dimensional aerodynamic flow analysis in the case of both commercial and non-commercial vehicles. Hence, there is requirement for numerically analyzing two commercial and non-commercial vehicles having the same turbulence model to better understand the aerodynamics of both commercial and non-commercial vehicles.
On the climatology of storm cyclones entering European Russia
Authors: Viazilova N A , Viazilov A E 
Published: December 2020

AbstractThe goal of this study is to show all tracks of cyclones and the tracks of storm cyclones with moderate and severe storm wind entering European Russia (ER) from regions of different genesis. NCEP/NCAR DOE reanalysis data from 1979 to 2018 are used in the study. The storm tracks are calculated with an automated cyclone detection/tracking algorithm based on a 6-hourly MSLP. A significant part of the moderate and severe storms enters European Russia from the North and Baltic Seas, most of them are accompanied by an extreme sea level pressure. The maximum severe storm wind density in the western and central part of ER, both in winter and in summer, half of the year, is associated with cyclones from the Baltic Sea genesis region. The Mediterranean storm cyclones affect the Black Sea region and the south-east region of ER. Only about 57% of the Mediterranean storms entering ER are accompanied by an extreme sea level pressure. The cyclone center density and severe wind density patterns show that the position of the storm wind is shifted to south from the regions of cyclone centers. This feature is characteristic for all cyclone genesis groups, both in winter and summer, half of the year.
Numerical simulation of particle transport in the urban boundary layer with implications for SARS-CoV-2 virion distribution
Authors: Varentsov A I , Stepanenko V M , Mortikov E V , Konstantinov P I 
Published: December 2020

Abstract
This paper presents a description, verification, and application of a model simulating the transport of aerosol particles with different properties in the urban boundary layer by using a Lagrangian approach. The model takes input fields of air flow characteristics from arbitrary external models or analytical solutions and allows estimating the movement, sedimentation, and decay of particles. In this paper, the accuracy of the model is successfully estimated on the basis of exact analytical solutions. Simulations are made for a series of urban canyons under different conditions of stratification and wind speed to assess the effects of these meteorological parameters on particle transport in urban areas. Under similar conditions, the transport of particles simulating SARS-CoV-2 coronavirus particles is calculated.
Stem growth and stem sap flow measurements of three conifer tree species in Siberia
Authors: Rubtsov Alexey , Arzac Alberto , Knorre Anastasia , Shashkin Alexander , Benkova Vera , Vaganov Eugene 
Published: December 2020

AbstractThis work is targeted to evaluate the reaction of individual trees against periodic and punctual environmental stressing events with a network of long-term monitoring of tree water/growth-related processes in various geographic and climatic areas. Instrumental measurements of stem circumferential/radial size changes(dRc/dR)using band/point dendrometers and stem sap flow rates (Q) using a trunk segment heat balance method in Scots pine, Siberian larch, and Dahurian larch trees have been carried out at three research sites in Krasnoyarsk Krai, Russia. Analysis of perennialdRc/dRand seasonalQdata obtained in 2015-2019 allows us to characterize the seasonality and features of the tree stem growth and stem water transport rates specific for each of the studied conifer species and on different temporal scales (diurnal, inter/intra-seasonal, and annual). The archived in-situ data are used to verify the efficiency of some process-based BS-and stochastic VS-tree growth and phenology models for Siberian larch and Scots pine trees. The results have confirmed the realistic nature of the simulation and have shown certain drawbacks of these models.
Influence of vegetation cover on the temperature dynamics of sandy soil
Authors: Shuklina E S , Voropay N N 
Published: December 2020

Abstract
To study the temperature regime of soils, an autonomous atmospheric-soil temperature complex is used. The complex is installed at three sites with sandy soil and various kinds of vegetation cover: burnt areas, pine forest, and open sand. Observations are made from October 13, 2011 to August 16, 2019 in a soil profile from the surface to the 320 cm depth. An analysis of the temperature regime of sandy soil reveals main similarities and differences between the three sites with different types of vegetation cover. In summer, the sites with pine forest and burnt areas of pine forest warm up less intensively than the site with open sand. Due to the greater openness, this site is the warmest during the warm period. In winter, pine forest, due to its high vegetation, is a barrier to wind, reducing snow blowing, and prevents the radiation cooling of the surface. To a slightly lesser extent, these functions are performed by loose vegetation in the burnt areas. The influence of vegetation under different weather conditions (clear sky/overcast) is considered. Cloud cover, as well as vegetation, helps to reduce the variability of soil temperature. The results of the study show that after forest fire restoration of vegetation cover naturally contributes to the partial restoration of the soil temperature regime.
Pollen in winter precipitation in the south of Western Siberia
Authors: Kuryatnikova N A , Malygina N S , Mitrofanova E Yu 
Published: December 2020

Abstract
The results of a microscopic analysis of 39 samples of (snow) precipitation taken in the steppe zone of the south of Western Siberia during the cold period of 2019/20 are presented. The samples contain pollen grains of woody (Betula sp., Pinus sp.) and herbaceous taxa (Artemisia sp., families Asteraceae, Chenopodiaceae, Poaceae). The herbaceous samples predominate in the spectrum-51%. To determine the areas of pollen grain arrival, the frequency back trajectories of the air masses are calculated with the HYSPLIT model for the atmospheric boundary layer during 120 hours. Analysis of pressure topography maps, maps of distributions of snow cover, average velocities and wind directions has made it possible to identify the areas of arrival of the pollen grains. The area of arrival of Artemisia sp. is the territory of the Turan Plain.
An empirical method for the prediction of extreme low winter sea ice extent in the Barents Sea
Authors: Cherenkova E A , Semenov V A , Titkova T B 
Published: December 2020

AbstractThis study addresses a possibility to use surface air temperature (SAT) of the Northern Hemisphere as a potential predictor for winter sea ice concentration (SIC) in the Barents Sea. The areas of most significant correlation between the leading modes of joint variability of the observed SIC in January-March and the SAT in the autumn, winter, and spring months in the 1979-2019 period are determined using a method of singular value decomposition (SVD) of covariance matrices. An analysis of the structure of this linkage has shown its robustness for SIC in the Barents Sea. The most strongly related areas are found in the first leading mode of the SVD analysis of the SIC in January-March and the SAT in November-January. The first SVD-mode explains in total 55% of covariation of both parameters. It has been revealed that the January-March SIC in the northern part of the Barents Sea is strongly correlated with the November-January SAT in Scandinavia and over the Barents Sea (the correlation coefficient is -0.8). The relationship between the SIC and SAT in key areas has allowed obtaining estimates of SIC in the northern part of the Barents Sea in the 21stcentury from an ensemble of 30 CMIP5 GCMs by using models’ SAT data. It has been found that the RCP 4.5 scenario results in a strong reduction in the sea ice in the northern part of the Barents Sea by 2041-2050. At the same time, no complete disappearance of sea ice is expected until the end of the century. According to the aggressive scenario RCP 8.5, almost free-ice Barents Sea is expected by the middle of the 21stcentury.
Wave Characteristics in Natuna Waters during Typhoon Hagibis Event
Authors: Ardiansyah I , Ningsih N S , Rachmayani R 
Published: December 2020

Abstract
Significant Wave Height (SWH) in Natuna Waters (NW) has been simulated during Typhoon Hagibis (TH) event in the periods of 20th – 27th November 2007 in South China Sea (SCS) by using Simulating WAve Nearshore (SWAN) model with 1/24° spatial resolution. The 1/4° wind data obtained from Cross-Calibrated Multi-Platform (CCMP) and 1/120° bathymetry data derived from General Bathymetry Chart of the Ocean (GEBCO) were used as model input. The open boundary values for SWAN simulation were obtained from WAVEWATCH-III (WW3) results provided by Indonesian Geospatial Information Agency (BIG). In this current study, it was found that the TH had an impact on swell propagation from the SCS to the NW. The model results showed that SWH in the NW during peak phase of the TH (22nd 23rd November 2007) varied between 0.8 – 3.5 m. There were 6 observation points in the study area to investigate SWH variation from 22nd October – 22nd December 2007. Based on the results, the northern part of the Natuna, Subi Besar and Anambas Islands are showed in Point 1 (P1), Point 3 (P3) and Point 5 (P5), respectively. Meanwhile, the southern part of the Natuna, Subi Besar, and Anambas Islands are showed in Point 2 (P2), Point 4 (P4) and Point 6 (P6). TH in the peak phase generates the SWH at P1, P3, and P5 of about 0.6 – 2.5 m and generates the SWH at P2, P4, and P6 of about 0. 5 – 1.6 m.
Study of Debris Movement in South and West Coast of Sumatra and Java and Its Impact on Bali Strait During Western Monsoon
Authors: Maharta I P R F , Radjawane I M , Hendrawan I G 
Published: December 2020

AbstractBali Strait is one of the most unique and important water areas, especially for the coastal communities of Banyuwangi and Jembrana up to Badung Regency. The Bali Strait hasSardinella lemurufish resources where it is widely exploited and is the main livelihood income of the coastal communities. In recent years, the quality ofSardinella lemurufish has begun to decline due to contamination of microscopic plastic debris in the Bali Strait during western monsoon. Many previous researches have carried out the movement of debris in the Bali Strait using numerical model to find out the source and location of the marine debris, however it only carried out local simulations within the Bali Strait. This study aims to determine the movement of debris that reaches the Bali Strait assuming debris originates from coastal areas on south and west coast of Sumatra and Java during the western monsoon (December 2018 - February 2019). The Finite Volume Coastal Ocean Model (FVCOM) model is used to obtain circulation of current patterns and debris particles movement patterns using the Lagrangian Particle Tracking module. The verification result of the model current pattern and field data using the Root Mean Square Error (RMSE) equation. In theuvelocity component the RMSE value is 0.014 m/s with a correlation of 0.968 and thevvelocity component is 0.011 m/s with a correlation of 0.945. In general, the current pattern in the waters of southern of Sumatra Island to Java Island in the dominant western monsoon moves eastward due to the influence of western monsoon. The simulation results show particles that reached the Bali Strait as much as 3.47% originating only from the coastal waters of East Java.