bluuebunny/crossref_metadata_2025_split huggingface dataset:
SysML Based Modelling of Gear Shifting Strategy and Drivability for Automatic Transmission
Authors: Kumar Ankush , Dhanwate Sachin 
Published: May 2020

Abstract
In this project SysML modelling of gear shifting strategy and drivability are done for the development of the transmission control system. Gear shifting is the complex system operation and drivability is also important for driving pleasure. The work starts by developing system functions to capture system-level requirements such as grade compensator, hot mode manager, shift scheduler, torque converter state selection, transmission speed calculator, manual mode manager, etc. The next phase includes designing and developing structure models, behavioural models, and the analysis of system requirements. Thus, the functionality of the design patterns is verified in the earlier stage of the product development life cycle.
Magnifying Steadiness & Conducting Examination of PMSM with SVPWM and PI Controller
Authors: Kumar Singh Nitesh , Agarwal Anshul , Kanumuri Tirupathiraju 
Published: May 2020

Abstract
A new method to improve the strength of permanent magnet synchronous machine (PMSM) is proposed in this manuscript. It utilizes the principal of space vector pulse width modulation (SVPWM) & proportional integral control (PI). The SVPWM allows the motor to have a high voltage with low harmonic distortion than the typical sinusoidal pulse width modulation. The control technique which is used in this paper is the voltage-frequency control process which depends on space vector pulse width modulation. The triggering pulses of space vector pulse width modulation inverter which is been given to the motor enables the motor to have a bigger torque at high speeds & elevated efficiency. It also increases the use of DC link voltage & low output harmonic distortion than the typical sine pulse width modulation inverter. The suggested permanent magnet synchronous machine module that involves a field-oriented control method not only links torque & flux, but also facilitates control allocation. Finally investigation of the suggested model is examined and its results are been validated by the simulation.
A Statistical Study on the Emotional Intelligence of B.Tech Students of NIT Hamirpur
Authors: Garg Arpan , Agrawal Prachi , Ganesh Talari 
Published: May 2020

Abstract
Emotions intelligence (EI) is the ability to recognize, implement, understand, and control emotions in definite way to reduce stress, make interaction effectively, overwhelmed challenges, and defusing conflict. The ideology behind entire perspective is that the students will develop themselves into what they are capable of becoming, provided we make them aware about emotional intelligence and the institute environment and parents create the appropriate circumstances for the development of intelligence. This study is not proposed to determine whether individual student becomes effective or ineffective. It is about examine the connections and interconnection between emotional intelligence and its component determinants along with understanding and level of responsibility in communication. It is also about formulating emotional intelligence radars and ladders to facilitate competency development. A survey was carried out, which consists of a sample researches in linkage to the gathering of data by setting up a questionnaire and structured involvement with various variables to identify design of associations. Descriptive analysis is deployed to derive meaningful and substantive conclusions and it indicates that the addressed sample was accurate and the different objects developed are significant for the performance measures. Further, the data obtained from the survey is put through statistical analysis utilizing statistical calculating package IBM SPSS Statistics. This study follows the relational model of database systems development that organizes and represents data in the form of tables and relations.
Using Machine Vision to Improve the Efficiency of Lumber Mills
Authors: Kunickaya Ol’ga , Burmistrova Olga , Hertz Edward , Ivanov Viktor , Nazarova Inessa , Tanyukevich Vadim , Semenyutina Alexandra , Sidorov Mikhail , Fedorova Paraskovia , Ohlopkova Marfa 
Published: May 2020

Abstract
This work provides rationale for the implementation of a machine vision-based approach for promoting timber processing efficiency. With efforts to combat the climate change, criteria for the success of wood industries shifted. Now, they need to ensure economic efficiency while taking the reduction in carbon intensity into account. This may be achieved in either of two ways, through the improvement of energy efficiency in production and by minimizing waste. So far, the traditional methods for the improvement of timber processing efficiency became obsolete. Hence, using advances in electronic engineering and machine vision may be viewed as a promising step.
Creation and experimental verification of a mathematical model of industrial debarking
Authors: Grigorev Igor V. , Leonova Olga N. , Kalyashov Vitalii A. , Shvetsova Viktoria V. 
Published: May 2020

Abstract
In the context of more intensive use of forest biomass, efforts to combat global climate change, the desire for more rational use of wood and an increase in surplus value in wood products, it can be assumed that primary woodworking processes require optimization. The aim of this work is the creation and experimental verification of a mathematical model of rational debarking of a log. The proposed mathematical model is based on a semi-empirical theory of fracture mechanics, the conclusions of which the authors optimize for the task of separating bark from wood during industrial debarking. During the experiments, a specially created installation was used. The results of experimental studies showed good quantitative and qualitative coincidences with the study results of the developed mathematical model. Thus, the developed model allows evaluating, at the stage of theoretical research, one of the main parameters of group debarking of timber. Namely, the time of timber processing taking into account the structural elements of the drum, parameters of pulpwood, their properties and temperature.
Clustering based Multi-modality Medical Image Fusion
Authors: Dhaundiyal Rashmi , Tripathi Amrendra , Joshi Kapil , Diwakar Manoj , Singh Prabhishek 
Published: May 2020

Abstract
The unwanted data obtained through the medical image fusion is the main problem in biomedical applications, guided-image surgical and radiology. The Stationary Wavelet Transform (SWT) denoted the various advantages over conventional representation of imaging approach. In this research article we introduced innovative multi-modality fusion technique for medical image fusion based upon the SWT. In our approach it disintegrates of source images into approximation layers (coarse layer) and detail layers through the Stationary Wavelet Transform scheme, then applying of the Fuzzy Local Information C-means Clustering (FLICM) and Local contrast fusion approach to overcome the blurring effect, sensitiveness and conserve the quality evaluation in the distinguish layers. The demonstration shows that it preserves more detailed information in the source images and it enhances the more quality features and edge preserved of the final fused image obtained through the reconstruction procedure by recursive initial steps. The different methodologies with other techniques to evaluate performance such as mutual information, edge based similarity and blind image quality. This shows that in both the objective and subjective analysis our methodology results attained more supercilious performance.
FPGA based Design of Dynamic Traffic Signal and Traffic Breach Control System
Authors: Gaur Aditya , Kumar Sujit , Kushwaha Deeksha , Sharma Anushka , Preet Singh Amar 
Published: May 2020

Abstract
A traffic signal system established due to the congestion of vehicles at road intersections. Traffic choking at road convergence becomes a controversy for daily riders and proportionally allowing the violation of traffic rules or other hazards. The conventional traffic signal system has lots of disadvantages. Even the system is automatic but due to fixed time range it gives rise to other problem like traffic violation, air pollution indirectly this would lead to deceitful affair. The signal system has been executed using different types of controller some have fast execution time, a greater number of inputs and outputs, reliability also plays an important role in traffic signal system design. To overcome such issues, we proposed a design in this paper which works on the compactness of vehicles on traffic signals and also detects the traffic signal breach done by the vehicles. This paper shows the simulation of dynamic traffic signal and traffic breach control system with IR sensor or piezo sensor to detect the density of vehicles and traffic breach or jumping of red light. This paper related with an FPGA controller as a VLSI design using Verilog in Xilinx software.
Artificial Neural Network Based Optimum Scheduling and Management of Forecasting Municipal Solid Waste Generation – Case Study: Greater Noida in Uttar Pradesh (India)
Authors: Kumar Sujit , Gaur Aditya , Kamal Neel , Pathak Mohit , Shrinivas Kumar , Singh Priyanshu 
Published: May 2020

Abstract
Precise forecast of municipal strong waste era has a critical part in future arranging and squander management framework. The attributes of the created strong waste are distinctive at better places (region to district or nation to nation). The precise forecast of municipal solid waste (MSW) era turns into an essential errand in present day period. Its prediction requires accurate MSW data. The point of the present review is to outline the time series model for foreseeing month to month based strong waste production in Greater Noida city of Uttar Pradesh State (India) utilizing artificial neural network (ANN) with time series autoregressive method. The gathered municipal waste perceptions have been organized month to month from 2012 to 2016. The 60 months data set has been classified into 42 training data sets, 9 testing data sets and 9 validating data sets. An assortment of models of ANN has been examined by altering the number of hidden layer neurons. Ultimately, paramount enhanced architecture of neural network is established. The least value of performance parameters is validated in the proposed model as mean square error 0.0004, root mean square error 0.0203 and the high value of the coefficient of regression 0.8123. On the premise of these execution parameters it is reasoned that the ANN model provides precise prescient outcomes.
Optimal Power Flow Solution with Nature Inspired Antlion Meta-Heuristic Algorithm
Authors: Tiwari Sukriti , Vaddi Narendrababu , Bhatlu Metta Sridhar , Kumar Manish 
Published: May 2020

Abstract
Currently, optimal power flow (OPF) problem is widely encountered issue. This has been formulated and programmed with the help of nature-inspired meta-heuristic approach known as Antlion Optimization algorithm (ALO) in this work. The algorithm is built upon the basic hunting procedure of antlions. The antlions hunting behavior is summarized into prominent set of steps like random walks, trap building to clasp ants, catching ants, and five pit reorganizations. This behavior is then exploited to resolve OPF problem. The ALO technique has shown higher convergence characteristics with the help of the Roulette Wheel selection. A typical system of IEEE 30 bus has been considered for validating the proposed method. Moreover, with suitable OPF formulation, numerous objectives could be solved. Some of which have been taken into account here. The results of ALO are studied and their effectiveness is compared with the OPF algorithms like Particle Swarm Optimization (PSO) method and Black Hole-Based Optimization (BHBO) method. The results demonstrate the usefulness of ALO with the improved convergence for OPF problem based on the population of 40 when compared to nature-inspired techniques like PSO and BHBO.
Fabrication of Hybrid Bicycle for Minimizing Pollutant Emissions
Authors: Joshi Tanuj , Sharma Ravikant , Kumar Mittal Vinod , Gupta Vikas , Parkash Om 
Published: May 2020

Abstract
Hybrid power framework dependent on sustainable power sources i.e. particularly regenerative and solar energy. They are a successful choice to take care of the power-supply issue for motor. This paper exhibits an examination and plan of a hybrid bicycle framework for every day needs of little separation travel. The Hybrid Bicycle Framework utilizes two sustainable power hotspots for enhancing the framework effectiveness. The two sustainable power sources are Dynamo and sunlight based solar energy. Power produces by these two sources utilizes for charging the battery. Alternative Current (AC) adopter can likewise be used for charging the battery. A motor that drives the back-tyre fits over it and powered by the battery. This paper worries over the similar investigation of over three charging strategies. In present work we studied the battery charging timing at Ideal condition and at practical running conditions and presented with the help of the table and graph. In future work, further innovation is still required for enhancing and expanding the efficiency of charging.
Dielectric properties of low-density polyethylene based nickel ferrite and copper ferrite
Authors: Vaid Kriti , Kumar Dwivedi Umesh , Rathore Deepshikha 
Published: May 2020

Abstract
Nickel and Copper ferrite of different compositions have been synthesized by wet co-precipitation technique. The synthesized samples were annealed at 800ºC for 4 hours and characterized by X-Ray Diffraction (XRD) analysis. The XRD pattern confirms the formation of a cubic structure with the crystalline size for nickel ferrite 23nm and copper ferrite 37nm. The composite has been synthesized with the various compositions (10wt% and 30wt%) of nickel ferrite and copper ferrite with pH values 6, 8 and 10 in LDPE. The Scanning Electron Microscopy (SEM) and Energy-dispersive X-ray spectrum (EDAX) confirms the homogeneous mixing of the composite material. The dielectric measurement has been carried out as a function of frequency at room temperature in the range of 1Hz-8MHz. The dielectric behaviour of Nickel ferrite and Copper ferrite based LDPE composite results decrease in dielectric constant and dielectric loss factor with the increase in frequency.
Statistical reasoning of prospective teachers through blended learning
Authors: Rohana  , Ningsih Y L 
Published: May 2020

Abstract
Blended learning is a learning model that combines face-to-face learning in classroom with on line learning. This research is a descriptive study that aims to describe the ability of statistical reasoning of prospective teachers through the Blended Learning models. The subjects in this study were 40 students of second year of Mathematics Education Department at Universitas PGRI Palembang in Academic Year 2018/2019. Data collected through written tests and interviews. The test aims to reveal the statistical reasoning of prospective teacher students. The interview aims to explore further about students’ statistical reasoning through Blended learning. The results showed that the statistical reasoning of prospective teachers after applying Blended Learning was included in the good category.
Learning higher-order thinking skills using problem-based learning model
Authors: Tama N S , Aisyah N , Santoso B , Kurniadi E 
Published: May 2020

Abstract
This research is a descriptive qualitative research to describe student activities during learning by applying Problem-based learning model and students’ higher-order thinking skills after applying higher-order thinking skills based learning using problem based learning (PBL) model on the two-variable linear equation system topic. The study was conducted at a Junior High School in Palembang, with research subjects totaling six students in class VIII3. The learning process was adjusted to the phases of the Problem-based learning model. The researcher uses higher-order thinking skills questions on students’ worksheets and test questions. Data collection techniques in this study used observation sheets, test results, and interview results. The results of this study indicate that the dominant student activity arises is discussing with the group in planning problem solving strategies, listening to exemples of problems given and solving problems that exist on the student worksheets using problem solving strategies that have been discussed as well as dominant higher-order thinking skills emerge is analytical skills.
Development of an android-based math equation editor
Authors: Nuraeni Z , Rosyid A , Mahpudin A , Suparman  , Andriyani  
Published: May 2020

Abstract
The long-term goal of this research is to develop Android-based learning as an alternative to mathematics learning. Meanwhile, the specific objective to be achieved in this research is to examine the effect of Mathematics learning media in the form of an Android-based Math Equation Editor on student achievement in high school. This research is a Research and Development (R&D) research. There are 8 stages in this study, namely (1) Potential and problems, (2) Data collection, (3) Product design, (4) Design validation, (5) Design revision, (6) Product testing, (7) Design revision, and (8) Trial usage. The conclusions obtained from the development of the Android-based Mathematical Equation Editor as an exponential learning media are valid, practical and effective. The conclusions of this study are: (1) Android-based Math Equation Editor Products are valid, practical and effective. Its validity can be seen from the results of the validator assessment analysis of the Mathematics learning media in the form of an Android-based Math Equation Editor obtained by Pearson correlation of 0.322; (2) Its practicality is seen from the results of user assessment analysis through limited trials of Mathematics Equation Editor-shaped learning media in the form of Android which shows an average score of 3.958 with practical criteria; (3) Its effectiveness is seen from the results of the analysis of student assessments through field trials of Mathematics Equation Editor-shaped learning media based on Android can improve student mathematics learning achievement in Mathematic.
Learning Design of Proportion Using Tangram Context
Authors: Andinasari  , Jayanti  , Wasiran Y 
Published: May 2020

Abstract
The aim of the study was to produce a design research method that aims to produce learning trajectories on comparative material based on the Indonesian Realistic Mathematics Approach. Design research through three stages, namely preliminary design, teaching experiment, and retrospective analysis was chosen to achieve the research objectives by designing hypothetical learning trajectory. This alleged learning trajectory was tested on 32 students in grade VII of SMP 30 Palembang. The instruments used in this study were recording devices, written test sheets; field notes sheets and questionnaire sheets. The results showed that a series of activities provided were able to stimulate informal knowledge and explore students’ prerequisite knowledge as a bridge in understanding the comparison of values and turning values. The activity of drawing parts of objects to be intact stimulates students to the knowledge of comparative concepts and to the context of tangram problems students are able to model and represent problems. Furthermore, strategies used by students gradually developed into more formal mathematics where the area model was used as a model of the comparative situation of the tangram and a model for more formal reasoning such as a comparison strategy, in dividing the tangram image, as well as the multiplication of comparisons of values and turns value in solving the problem of completion of a job in the installation of tile / marble floor of the house.
Students’ worksheet in number multiplication learning using lined-up context in the second grade
Authors: Permatasari S W , Darmawijoyo  
Published: May 2020

Abstract
The aim of this study is to produce Students’ Worksheet in Multiplication Learning using lined-up contexts with Indonesia’s Realistic Mathematics Education (PMRI) approach that is valid, practical and has a potential effect. This research was a development research using Design Research with Development Study type. This research went through 2 stages, namely the Preliminary stage consisted of analysis, design, and the formative evaluation stage consisted of self evaluation, expert review, one to one, small group, and field tests. Worksheet prototype I is review in stage of expert review and one to one then become prototype II. Worksheet prototype II is review in small group. Finally worksheet is ready to test the students in stage field test. The results of students’ worksheet had valid, practical characteristics, and had a potential effect in multiplication learning.
The impact of using function derivative teaching material based on APOS theory towards students’ learning interest
Authors: Samosir S , Darmawijoyo  , Hartono Y 
Published: May 2020

Abstract
This study aims to describe students’ interest in learning using functional materials based on the APOS Theory assisted by Geogebra. The research method used is qualitative type descriptive. The subjects of this study were students of the eleventh graders of Natural Science Study Program of SMAN 2 Palembang (The State Senior High School). Data collection was carried out by distributing questionnaires and interviews to find out the impact of the use of teaching materials on student interest in learning and tests to determine the impact of teaching materials on student learning outcomes. All data collected was analysed descriptively.
Learning function using a thermometer
Authors: Noveawan  , Zulkardi  , Hapizah  
Published: May 2020

Abstract
This research aimed to produce a learning trajectory that can help students in 8th grade in learning functions. The learning approach used in this study was PMRI approach by using the context of the thermometer. This research used design research through three stages: preparing for the experiment, the design of experiments, and the retrospective analysis. Data collection techniques used were interviews, video footage and photographs, written tests, and field notes. The study involved six students in the 8th grade, which were composed of students with high, medium and low of capability in the first cycle, and involved 20 students in second cycle. The research conducted to produce learning trajectories which consists of a series of learning activity in the process. The results of this study are to produce a learning path consisting of exploring the context of the thermometer, presenting functions, determining (domains, codomains and ranges), finding function formulas and function values, and being able to solve the function problems.