bluuebunny/crossref_metadata_2025_split huggingface dataset:
Resonant Hamiltonian systems and weakly nonlinear dynamics in AdS spacetimes
Authors: Evnin Oleg 
Published: August 2021

Abstract
Weakly nonlinear dynamics in anti-de Sitter (AdS) spacetimes is reviewed, keeping an eye on the AdS instability conjecture and focusing on the resonant approximation that accurately captures in a simplified form the long-term evolution of small initial data. Topics covered include turbulent and regular motion, dynamical recurrences analogous to the Fermi–Pasta–Ulam phenomena in oscillator chains, and relations between AdS dynamics and nonrelativistic nonlinear Schrödinger equations in harmonic potentials. Special mention is given to the way the classical dynamics of weakly nonlinear strongly resonant systems is illuminated by perturbative considerations within the corresponding quantum theories, in particular, in relation to quantum chaos theory.
Development of two-dimensional plotter using programmable logic controller and human machine interface
Authors: Khanduja Priya , Bhargave Harshita , Babbar Atul , Pundir Pankaj , Sharma Ankit 
Published: August 2021

Abstract
In this modern world, the use of computerized numerical control technology has become indispensable in the areas of logo designing, furniture, and marble industries, etc. It inspires authors to develop the two-dimensional Plotter device using Programmable Logic Controller (PLC) and Human Machine Interface (HMI) to reduce the complexity of CNC machines. The functional application of X-Y axis-based Plotter is used to draw a variety of shapes, text, and images on the solid surface. In this study, ladder programming is performed according to the script, and the program is thus executed by PLC which further gives the signal to the actuators. The X-Y axis is controlled by servo drivers which drive servo motors. DC motor is used to decide the position of the pen. Human Machine Interface (HMI) is used to provide supervisory control to the X-Y plotter. It has been achieved that the implementation of PLC-HMI based control panel gives comfortable and secure control. Thus, the desired text/shape is achieved with ease, when the motors move along concerning X-Y axis and subsequently pen touches the sheet to draw text/shape. Hence, it is stated that more real-world applications could also be achieved using the plotter device.
Parametric evaluation of solar driven combined supercritical organic Rankine cycle and vapor absorption refrigeration cycle for trigeneration
Authors: Khan Yunis , Mishra R.S. 
Published: August 2021

Abstract
Current study deals with the parametric evaluation of combined supercritical organic Rankine cycle and vapour absorption refrigeration cycle driven by solar power tower. It was obtained from the results, exergy and thermal efficiency of the combined system improved with solar irradiation. Maximum thermal and exergy efficiency were obtained 46.60% and 68.25% respectively at 950 W/m 2 while maximum exergy destruction was obtained 7589.46 kW at 500W/m 2. COP of the system decreased with generator and condenser temperature. The maximum COP for heating and cooling were found 1.4452 and 0.4448 respectively at 90°C of generator temperature.
A Survey on Various Deep Learning Models for Automatic Image Captioning
Authors: Gaurav  , Mathur Pratistha 
Published: August 2021

AbstractAutomatic Image captioning means the generation of a caption for an image by a machine. Image captioning is performed by recognizing objects, attributes and interconnection between them. This task involves computer vision for image understanding, natural language processing for syntax and semantics purpose and machine learning for caption generation. Preferably CNN is used to understand features of an image and RNN is used for sentence generation. Earlier, Machine learning approach was used for this purpose. Input data is used to extract the features in traditional machine learning. Extracting features like handcrafted from large dataset is not so easy and feasible. Later on, Various deep learning-based approaches were proposed. In deep learning, retrieval based and template-based methods were proposed but faced some issues like missing important objects and fixed length caption respectively. Then end to end learning approach based on deep learning network came into existence and image captioning task became more efficient. The objective of this paper is to study and compare various end to end learning-based framework for image captioning using standard evaluation metric and to understand how can these frameworks be used for various research applications. Along with the comparison, futuristic challenges have also been discussed.
Innovations in Different Abrasive Flow Machining Processes: A Review
Authors: Dhull Sachin , Mishra R.S. , Walia R.S. , Murtaza Q. , Niranjan M.S. 
Published: August 2021

Abstract
With advent of need for fast productivity in terms of material removal and surface roughness of the workpiece, abrasive flow machining (AFM) process is gaining rapid importance in the industries. In this process, the fine finishing of the internal surfaces is done that are difficult to reach spaces using abrasive laden polymer media. The media is extruded past the surface under high pressure with the help of two sets of extrusion piston cylinder arrangements. In this paper, various innovations done in the field of abrasive flow machining have been studied in detail in a tabulated form. It included the applications of the process and the different variant forms of AFM process. Due to addition of external forces in variant of AFM process, high speed machining is obtained with smoother surface integrity. Hence it can be concluded that this form of non-conventional machining process is efficient both in terms of surface roughness and material removal.
Parametric evaluation of the combined solar driven precompression supercritical CO2 cycle and organic Rankine cycle using ultra low global warming potential fluids
Authors: Khan Yunis , Mishra R.S. 
Published: August 2021

Abstract
In this paper, thermodynamic parametric analysis of solar driven pre-compression cycle combined with super critical CO2 and organic Rankine cycle using zero ozone depletion (ODP) and ultra low global warming potential (GWP) fluids have been carried out. The thermal model for the above system was developed using low global warming potential fluids and it was found that the thermal performance of the system is increased with the concentration ratio, fluid velocity, and with solar irradiation while decreased with receiver emittance. In terms of thermal performance parameters the R1224yd(E) gives highest performance Maximum exergy efficiency, thermal efficiency and output power were increased from 36.73% to 58.52%, 34.16% to 54.42% and 183kW to 293.5kW respectively when DNI (direct normal irradiation) increased from 0.4 kW/m2 to 0.95 kW/m2 based on R1224yd(E) fluid. R1224yd(E) recommended for the better performance.
Study and Trend Prediction of Covid-19 cases in India using Deep Learning Techniques
Authors: Shrivastava V K , Kumar Ajay , Shrivastava A , Tiwari A , Thiru K , Batra R 
Published: August 2021

AbstractThe novel coronavirus or officially known as SARS-CoV 2 (Severe Acute Respiratory Syndrome Coronavirus 2) has caused a severe pandemic over the world affecting not only the economy of the countries but also the lifestyle of the people worldwide. As on 31.12.2020, Covid-19 (coronavirus disease) has infecting more than 10266674 people and causing about 148738 deaths in India. It has been seen through various statistics of various countries that the number of Covid-19 cases grows exponentially as the number of test increases then after some period, the rate of new cases decreases. In this research paper, researchers have created deep learning-based model to predict the curve of the new Covid-19 cases vs the total number of tests conducted in India. There is still lockdown in some part of the country while some states have partially relaxed the rules and some states totally lifted the lockdown. Predicting the number of new cases and their trend can help in deciding what is the optimal time to release the lockdown. It will also help in determining when the coronavirus will loosen its grip from India.
A Novel Automating Irrigation Techniques based on Artificial Neural Network and Fuzzy Logic
Authors: Phogat Manu , Kumar Ajay , Nandal Deepak , Shokhanda Jyoti 
Published: August 2021

Abstract
India is primarily an agrarian society and it is important to develop various irrigation techniques as the nature of soil varies drastically spatially. Irrigation scheduling are mainly depends upon monitoring of soil, crop, water available and weather conditions. Major limitation of this system is the under-irrigation or over-irrigation, which affects the SAR ratio of soil or excess runoff generation respectively. Effective implementation of irrigation technique is required to enhance the productivity of less fertile soil. Irrigation with variable rate and intelligent control-based system is required for the enhancement of irrigation system and higher crop yield. Study was conducted for the performance evaluation of irrigation system using ANN and Fuzzy Logic Toolbox of MATLAB. Moisture available, rainfall, evapotranspiration and water supply for wheat crop were taken as input and output variable were performance of irrigation system. Results of different irrigation techniques were evaluated and best technique were identified under their specification.
Exploration of wall angle and tool rotation on surface roughness in Negative Incremental Forming Process
Authors: Kumar Ajay , Kumar Amit , Kumar Amit , Gupta Shikha , Rajpal Rakesh , Srivastava Prateek 
Published: August 2021

Abstract
A significant augmentation in the obsolescence of traditional forming techniques results in the strong requirement of developing an emerging and flexible process to fabricate the user-ready parts in the manufacturing units. Single Point Incremental Forming (SPIF) also known as “negative incremental forming” has shown its viability as a novel and emerging forming method for fabricating the customized and batch-type products of sheet materials to satisfy the need of various potential sectors including medical, automobile, and aerospace. This method directly exempts the involvement of dedicated die-sets and turns into the choice of green manufacturing. The surface quality of fabricated parts can greatly decide the suitability and sustainability of the process in various applications. In the current study, the impact of wall angle and tool rotation have been explored for surface roughness during SPIF. Results revealed that the increase in spindle speed resulted in the decrease of Ra value of formed components. Moreover, the Ra value of formed components was found to decrease by 50 % when the experimental condition was changed from the combination of higher levels of wall angle and “free-to-rotate” condition of spindle speed to the combination of lower levels of wall angle (60°) and a higher level of spindle speed (1500 rpm).
The design of mathematics learning using didactical engineering to develop the mathematical comprehension ability and self-confidence of elementary students
Authors: Silo R A , Herman T , Jupri A 
Published: August 2021

Abstract
This research was based learning obstacles experienced by the students of elementary school. The obstacles were categorized into three learning obstacles namely epistemological, ontological, and didactical. The focuses of this research were to analyze the learning obstacles in addition, arrange the hypothetical learning trajectory, and design a learning material suitable to the students’ characteristics using didactical engineering. The design was considered to be able to set a learning environment setting which would minimize learning obstacles. The research used qualitative approach with descriptive analysis method. The subject was 27 first-grade students of an elementary school in Bandung. The data were collected using test instrument which was essay problems and non-test instruments which were observation sheets, interview, documents study, and both audio and audio-visual documentations. The research results showed that there were development of mathematical comprehension ability and self confidence in the majority of students following learning design implementation based on the learning environment setting involving situation of action, formulation, validation, and institutionalization.
Using technology in young children mathematical learning: a didactic perspective
Authors: Novita R , Herman T 
Published: August 2021

Abstract
Technology has penetrated every aspect of modern life, not least in young children’s education. So that the involvement of technology in learning is something we absolutely must do. For more than two decades, many stakeholders have indicated the potential use of technology in mathematics education. Nevertheless, various obstacles and concerns are still felt in this integration effort, especially in learning mathematics at young children’s ages. This article uses the literature review method to discuss the extent of the role of technology in learning mathematics for children in terms of didactic perspective. Some documents, such as journals and books related to using technology in young children’s mathematical learning, were analyzed to gather related information. The literature review stages that have been carried out are planning, organizing, drafting, editing, and redrafting. Therefore, the discussion can provide new knowledge for educators in their efforts to determine the best way to integrate technology into young children’s classroom settings.
Designing teaching materials based on process skills approach to mathematical representation ability in polyhedron
Authors: Sagita L , Setiyani  , Sumiarsih  
Published: August 2021

AbstractThe purpose of this study was to develop the didactical design of teaching materials based on process skills approach to mathematical representation ability in polyhedron. The didactic design was made in the form of module for grade VIII based on the Didactical Design Research (DDR) stage, namely the didactic situation analysis stage before learning, the methapedadidactic stage, and the retrospective stage. At the stage of the didactic situation analysis resulted in a learning obstacle, didactic anticipation of teaching materials in the form of mathematics modules based on mathematical representation abilities and the results of validation of modules by experts. In the methapedadidactic stage, the responses of teaching material users were obtained to 26 students and one mathematics teacher in SMPN 1 Waled. While the results of filling out the questionnaire by the teacher obtained very positive response criteria and the results of the response questionnaires filled out by students obtained positive response criteria. In the retrospective stage, anticipation of user responses is obtained after the teaching materials are implemented. The results of module validation by four experts are categorized as very valid.
Vietnamese pre-service teachers and in-service teachers’ conception of STEM Education
Authors: Hang N T T 
Published: August 2021

Abstract
Recently, STEM education has emphasized in many countries including Vietnam because of its’ benefits. To prepare for effective STEM education instruction, the role of education universities in training pre-service teachers is concerned. To support training of STEM teaching instruction in classrooms for pre-service teachers, it is necessary to know their conceptualization of STEM conception and differences of their views with in-service teachers’ conceptions so that pre-service teachers work more effectively in their internship and near future in schools. However, little has been reported on how pre-service teachers are conceptualizing STEM education, and differences between pre-service teachers and in-service teachers’ STEM education conception who have more experiences in real classrooms in Mekong, Delta, Vietnam. In this study, to explore their STEM conception, an open-ended survey collecting both textual and visual responses was given to 100 in-service teachers from 10 schools in Can Tho city and 185 pre-service teachers of the Physics teacher education program, Can Tho University, Vietnam. The findings showed that both in-service teachers and pre-service teachers keep various ideas about STEM conception. They have both similarities and differences in conceptualization.
Development of USA method (understanding, sketching, analysing) as practical way to resolving classical mechanics problems for physics lesson
Authors: Rabiudin  , Nurafifi E H 
Published: August 2021

Abstract
This study aims to develop a problem solving method known as the USA method (Understanding, Sketching and analysing) as a practical method to solving classical mechanics problems. This research method uses the ADDIE Research and Development model (Analysis, Design, Develop, Implementation and Evaluation) with data analysis techniques using Aiken’s validation and reliability analysis. Research subjects in several physics subject teachers and science class students in West of Papua with the research stages used Problem Analysis and learning needs, USA method design, method development, implementation and evaluation of method. Researchers used 21 validators consisting of 13 validators from physics and mathematics experts who teach at universities and 8 physics teacher participants as practitioners who teach in schools. The results of this development indicate that the level of validity of all assessment indicators reaches 0.75 to 0.928 with a reliability of 0.82 where this interval is called high validity and reliability. The final step is to apply the USA method and then analyse the effectiveness and practicality of this method. The important results obtained by the researcher were 92.5% of respondents stated that the USA method was effective as a better method to supporting the quality of learning physics in classical mechanics lessons. Meanwhile 94.3% of respondents said the USA method was practical as an easy way to understand classical mechanics.
Risk Warning System of Market Power Monitoring in Electricity Market
Authors: Wang Xiangyang , Huang Hengzi , Zhao Wen , Yang Xi , Kong Miaomiao 
Published: August 2021

Abstract
The electricity market is involved in a large number of stakeholders, the risk is complex, and the market power will exacerbate the crisis after openness of the electricity market. If regulators can build the electricity market risk warning system in advance, they can detect risk signals in advance and take effective measures to avoid electricity power crisis. This paper focuses on building the electricity market power risk warning system. Thus, we firstly establish a set of indicators that can reflect the electricity market risk condition scientifically, and then estimate the threshold value of risk indicators by using the VaR method based on GARCH model. The risk warning system with five levels of signals is proposed by using the estimated VaR values of the indicator under different confidence, and it is validated to be feasible and effective. Finally, some measures are proposed to respond to different types of risk warning.
Research on the characteristics of real-world vehicle particle number and mass emissions
Authors: Yang Zhiwen , Zhang Xiaowen , Xie Zhenkai , Qi Songbo , Wang Jiguang , Li Jingyuan , Li Mengliang 
Published: August 2021

Abstract
Plug-in hybrid electric vehicles (PHEVs) have been greatly promoted due to their advantages in both performance and energy saving. However, real-world particle emission measurements for PHEV are generally conducted by dilution system but rarely through the directly hot-sampling method. This study firstly employs a hot-sampling HT-ELPI+, the main component of a portable emission measurement system, to investigate the real-world emissions of particle matter (PM) and particle number (PN) from a Euro V PHEV. Obvious higher emission factors (EFs) of PN and PM occurred on the highway compared to those on other road types. However, the lowest EFs occurred on the urban road for PN, while on the rural road for PM. The average speed-bin EFs of PN and PM both exhibited increasing trends with the speed increase, especially when the speed exceeds 100 km/h. And the peak PN and PM emission rates in different speed ranges exhibit the highest in the high-speed range, while the lowest in the low-speed range. Furthermore, the particle number size distribution exhibited an obvious unimodal distribution (mode size: 9 nm) for the whole speed and the medium- and high-speed ranges, while a bimodal distribution (mode size: 9 nm and 30 nm) for the low-speed range.
The Evaluation System of Power Market Monitoring Based on AHP and the Entropy Method
Authors: He Jie , Zhao Wen , Huang Hengzi , Wang Miao , Zhao Panting 
Published: August 2021

Abstract
China’s new round of power system reform requires enhanced supervision of the power market. As power market monitoring is an important link of power market supervision, its necessity and importance has been further highlighted under the new reform. This paper constructs an evaluation index system of power market monitoring based on the industrial organization theory. Moreover, we combine the analytic hierarchy process (AHP) and the entropy method to obtain weights of different indices. Finally, a comprehensive evaluation of the power market monitoring is obtained. This paper has practical value for the risk warning of the power market.
Research on the Design Strategy of Rural Environment
Authors: Zhou Can 
Published: August 2021

Abstract
With the passing of the COVID-19 pandemic, rural leisure tourism around the city has evolved into a basic force to expand domestic demand, speed up internal circulation and revitalize tourism. Due to the upgrading of rural leisure tourism in China, designers and operators have created a rich and entertaining environment for urban residents, which greatly enriches and satisfies the life of citizens. In this paper, some of the existing cases of rural leisure environment design are summarized, and the design strategies and methods are extracted to better guide the design practice.
Research on the relationship between transportation facilities and economic growth in Shanxi Province
Authors: Chen Xiaoqi 
Published: August 2021

Abstract
There is a saying in China, “If you want to get rich, build roads first.” This sentence points out the relationship between transportation facilities and economic development. The operating mileage of railways, highways and other modes of transportation represents a region’s transportation development, and they are inseparable from economic development. This article analyzes the traffic problems in Shanxi Province and related economic development problems based on the railway operating mileage and highway mileage in Shanxi Province in the past ten years. The study found that the mileage of railways and highways has a positive correlation with GDP. Then through the establishment of a regression model, the linear relationship between the three is determined, and finally based on the relationship between the three, suggestions suitable for the transportation and economic development of Shanxi Province are put forward.