bluuebunny/crossref_metadata_2025_split huggingface dataset:
A HYBRID APPROACH FOR CROP YIELD PREDICTION USING MACHINE LEARNING AND DEEP LEARNING ALGORITHMS
Authors: Agarwal Sonal , Tarar Sandhya 
Published: January 2021

Abstract
Agriculture is defined as the science and art of cultivating the flora and fauna. Farming in India is ranked as second around the globe and occupies 60.45% of Indian land. The Indian economy, dominatingly, depends upon farming along with agro-industry things. The soil ingredients (like Nitrogen, Phosphorous, Potassium), crop rotation, soil clamminess, atmospheric and surface temperature, precipitation, etc, play an efficient role in cultivation. The present evidence related to this field includes a model which is incorporated with ML algorithms (Random Forest, Decision Tree, Artificial Neural Network) to determine best crop. In this paper, the proposed model is enhanced by applying deep learning techniques and along with the prediction of crop, a clear information is achieved regarding the amounts of soil ingredients needed with their expenses separately. It provides a better accuracy than the existing model. It analyzes the given data and help the farmers in predicting a crop which in return help in gaining profits. The climatic and soil conditions of land are taken into consideration to predict a proper yield. The objective is to present a python based system that uses strategies smartly to anticipate the most productive reap in given conditions with less expenses. In this paper, SVM is executed as Machine Learning algorithm while LSTM and RNN are used as Deep Learning algorithms.
Different Materials, Structures and Parameters for Organic Thin Film Transistors
Authors: Gupta S , Mittal P , Juneja P 
Published: January 2021

Abstract
This paper assesses the topical progressions in the province of organic electronics especially the ones having SM and are made of polymer materials. It shows the analysis of structural disparity between top contact and bottom contact Organic Thin Film Transistors, thus rendering clarity to the conduction mechanism and performance governing parameters. Furthermore, an insight to a variety of materials that can be deployed in making different layers of an OTFT has been presented. In addition to this the parameters that oversee the performance of the device have also been highlighted. An elucidation of a variety of applications, limitations and scope has been reflected in the paper as well.
Predictive programmatic re-targeting to improve website conversion rates
Authors: Prasad Abhiram , Chokshi Sneha , Khan Sahil 
Published: January 2021

Abstract
In the era of programmatic advertising, the advertisers have huge amount of first party data to leverage on enabling them to do highly granular re-targeting. Programmatic re-targeting is the ability to use data to show an ad to a user who has demonstrated an interest in your product offerings before. Re-targeting ads are a powerful conversion optimization tool and are typically known to outperform conventional targeting in terms of performance. As per 99 Firms, 41% of marketing allocation in 2018 to paid display spend was on re targeting and for most of the websites, only 2% of web-traffic converts on the first time visit. In this paper, a conversion is referred as a purchase made and a converting user is one who made the purchase on the website. The question that arises is - “should we be re-targeting all the users who have landed on the site?”. In ad campaigns which has low budgets or in campaigns where the conversion rate is really low even though a huge volume of users visit the site, it may not make complete sense to simply re-target all those users, instead we would want to re-target those who are clearly showing an intent to make a purchase either through their on-site browsing behaviors or their past conversion patterns. Through this paper we present the use of first party privacy preserving data to do predictive programmatic re-targeting of users who are going to make a conversion in the next few days given their past site-browsing and conversion behavior using a structured data science and advanced ML based framework. Additionally, this project allows to tie the model results to real time programmatic activation by the creation of user segments depending on whether the user is going to make a conversion for the first time, or is converting again. The final outputs are these user segments, which are going to be used by in house ad-traders who would be able to bid deferentially for a specified period of time against each of the segments on a demand side platform. We have successfully tested this model on 2 advertising clients and were able to capture 80-85% of the actual converts happening over the next few days of them landing.
Experimental studies on R.C. columns with natural fibers
Authors: Suthar A R , Patel Y S 
Published: January 2021

Abstract
Adding natural fibers to concrete is a modern technique in construction industry. The aim of conducting the research is to compare the load carrying capacity of Reinforced Cement Concrete (RCC) columns by adding natural fibers in it. Total 30 columns were casted for observing the compressive strength of the column. Natural fibers like Rice husk, wheat husk, coconut fiber and wood fiber were added in 1 % and 3 % by weight of cement. On varying the percentage of replacement from 1% to 3%, rice husk was having the most positive impact on loading capacity as its load carrying capacity raises 1.67 times of normal column. On considering the all tests performed, rice husk fiber was found to be the best in replacement in concrete. The strength of the Fiber Reinforced columns (FRC) varies from 0.76 to 1.67 times in comparison to plain column. Adding fibers to the concrete raised the strength of column in the range of 1.5 to 3 times of design load. Coconut fiber columns showed poor ductility as compared to the other natural fibers i.e. wheat husk, rice husk and wood fiber. The coconut fiber column showed debonding between fibers and concrete at the time of ultimate loading. Failure of FRC column was nearly same as plain column. Hence natural fiber concrete is one of the environment friendly and economic option, which is used to construct low rise building
Crystal Structure Visualization of Niobium Nitride (NbN) Thin Film
Authors: Prabhakar B. , Wani T.A. 
Published: January 2021

Abstract
The well-known program for the visualization and exploration of crystal structural has been by using diamond software. The diffraction technique is used for study the Niobium Thin Film (NbN) and good quality, good resolution powder patterns are recorded in these research work. The calculation of angles by measuring the distance between two atoms, crystal structure visualization and the thin film (NbN) diffraction pattern is main focus in this research work.
Correctness of determination of energetic materials high temperature decomposition kinetics
Authors: Zarko V E 
Published: January 2021

Abstract
The kinetic parameters of high temperature decomposition kinetics are widely used in evaluating the characteristics of thermal explosion, ignition and combustion of energetic materials. At present, the true and correct data on the high temperature kinetics of energetic materials condensed phase reactions are unknown and probably will remain unattainable in the nearest future. This is because of enormous technical difficulties to obtain such information and the absence of proper theoretical approaches for treatment of non-isothermal data. Evidently, with highly exothermic reactions it is impossible to conduct experiments at elevated temperatures using approaches of a low heating rate or isothermal ones. The improvement of characteristics of existing devices for thermal analysis is impeded by both technical complications and difficulties of performing experiments with ultrathin specimens of energetic material to ensure the conditions of uniform heat-up of the bulk of the substance. Based on the results of numerical simulation it is shown in this paper that the approach suggested 50 years ago by A. G. Merzhanov of using ignition delay data for deriving high temperature kinetics was not theoretically justified and can provide only very approximate values for such kinetics. The paper concludes on the today’s relevance of the tasks on elaboration of mathematically justified techniques for determining kinetic parameters of global exothermic condensed-phase reaction, which will be based on the experiments on EMs ignition.
Investigation of CL-20/TFAZ cocrystal: preparation, structure and performance
Authors: Liu N , Duan B H , Lu X M , Wang B Z 
Published: January 2021

Abstract
The cocrystals of hexanitrohexaazaisowurtzitane (CL-20) and 7H-trifurazano[3,4-b:3’,4’-f:3”,4”-d]azepine (TFAZ) in a 1 : 1 molar ratio were prepared by both slow evaporation and self-assembly method. Structure determination showed that it belongs to the monoclinic system (space group P21) with crystal density of 1.932 g cm−3. The intermolecular hydrogen bonds and N–O•••NO2 type interactions are demonstrated as the predominant driving force in cocrystal formation. Furthermore, the cocrystals were successfully synthesized by a self-assembly method using only water as solvent at mild conditions, and the product yield was up to 92.3%. The two types of cocrystals were fully characterized by powder X-ray diffraction and scanning electron microscope. Moreover, the thermal behavior, sensitivity, and calculated detonation performances of the cocrystal were evaluated. The cocrystal exhibits good thermal stability (Td = 242.8 °C), low impact sensitivity (H50 = 42 cm) and friction sensitivity (Pf = 38%), high crystal density, and high calculated detonation velocity (9103 m/s). This work opens up a new perspective in the environment-friendly preparation of energetic cocrystals on a large-scale, as well as provides a potential low-sensitivity and high-energy explosive.
Effect of hydroborate iron additives (BH-Fe) on the properties of composite solid rocket propellants
Authors: Pang W Q , DeLuca Luigi T. , Wang K , Xu H X , Xiao L Q , Fan X Zh , Li H 
Published: January 2021

Abstract
Several industrial - and research - types of hydroxy-terminated polybutadiene (HTPB) - based composite solid propellants with and without hydroborate iron additives (BH-Fe) were experimentally prepared. In general, they feature the same nominal composition, but different mass fraction of BH-Fe particles are investigated as burning catalysts and contrasted to a conventional formulation without BH-Fe particles, which are taken as reference. Strand burning rates and the associated combustion flame structures of propellants were analyzed. The mechanical sensitivity and microstructure surface of the formulations were compared to that of a referenced propellant already certified as steady. The results show that the BH-Fe powders are of irregular shapes, which tend to disperse or not stick together easily into cold clots. The BH-Fe powder are insensitive for friction and impact stimuli (0%, >125.0 cm) and all the propellant formulations containing different mass fraction of BH-Fe particles were sensitive to impact and friction (96 %, 10.0 cm), which is a bit sensitive to the referenced formulation without BH-Fe particles (92 %, 30.2 cm). The hydroborate iron additives (BH-Fe) can affect the combustion behavior and change the burning rate effectively. The burning rate can be increased more than 12.1 % for 3 % of BH-Fe particles replaced common Al powder in the formulations. The burning rate and pressure exponent values depend little on the formulation of the mass fraction of BH-Fe powder. A change of part mass fraction of BH-Fe particles may boost the burning rate a bit higher than that of the common Al powder, and the pressure exponent was increased little from 0.30 to 0.31 at the experimental pressure range.
Research on Wave Effect of Hypervelocity-KE Rod to the Earth
Authors: Wang P , Zhang M , Qu H Y , Hou B J , Liu X C 
Published: January 2021

Abstract
The goal of this paper is to present a test method used to characterize the damage effect of the hypervelocity-KE rod to the earth. Firstly, according to the numerical simulation results, the damage effect and their characterization parameters is carried out when the hypervelocity-KE rod impacts the Earth. And then the test methods for these characterization parameters are brought forward one by one in theory. Finally, by the test methods, the data from the damage effect of the 100kg hypervelocity-KE rod to the Earth are achieved. The content in this paper would benefit for the research on the KE weapon.
Roll forming of projectile body with curved rotary profile
Authors: Zhang B H , Hu B , Wei C Y , Zhao X , Zhang Z M 
Published: January 2021

Abstract
In this paper, a novel roll forming (RF) process is introduced. A kind of 120-mm projectile body with curved rotary profile is formed by the RF process. The RF process is compared with the traditional process of machine using the billet of draw. Based on the results, it can be concluded that the weight of billet reduces 28% by the presented process comparing with the traditional process and the reducing amount will increase with the increasing of the length of curved rotary profile. The presented process can use traditional draw press and has the same forming productivity. It also has the merits of lower forming force and machine time. The die of the present process is more complex and the manufacturing cost is higher than that of the traditional draw, but the die life of the present process is higher.
Research on development status and technology trend of intelligent autonomous ammunition
Authors: Liu D W , Sun J , Huang D G , Wang X Y , Cheng K , Yang W Q , Ding J Y 
Published: January 2021

Abstract
Research on the new tasks and capabilities are required for ammunition in the future intelligent air combat, the concept of smart munitions is put forward, and the intelligent development approaches of single equipment intelligence, system intelligence, swarm intelligence and system of system intelligence are put forward. This paper classifies and analyzes the relevant projects currently carried out by the US military, and on this basis summarizes the development trend of airborne smart munitions. Finally, some suggestions for the development of airborne smart munitions in China are given. The above research results will provide reference for the construction of intelligent equipment system of airborne intelligent ammunition and the direction of technology research.
Research on machining technology of complex structure parts of high-speed train body
Authors: Chen H H , Meng F J , Zhang D S , Miao L Q , Qiao H , Sang M , Qian D M , Wang W B 
Published: January 2021

AbstractAccording to the high-speed train body chassis connecting plate and the side wall key piece structure is complex, the processing difficulty is big, the processing is easy to deform, the precision is not easy to control, the processing efficiency is low, carries on the processing craft characteristic analysis, produces the processing craft analysis report. The dynamic milling forces in X, Y and Z directions during milling process are tested by means of testing and analyzing the dynamic characteristics of the machine tool, and the dynamic performance of the system can be tested by means of modal test, the transfer function of the system is obtained, and the modal parameters such as natural frequency, damping ratio and modal stiffness are obtained by mode fitting on the basis of the transfer function data, complete the dynamic characteristic analysis of the machine tool. Based on the modal analysis of the whole process system and the dynamic model analysis of the milling process, the chatter stability region of the milling process is simulated by using the theory of regenerative chatter, the results of chatter stability region related to milling process parameters are given.
Composites in extreme environments: Effects of high strain rate, humidity and temperature
Authors: Quino G , Pellegrino A , Petrinic N 
Published: January 2021

AbstractMultifunctionality, lightweight and resistance to corrosion are some of the several advantages that fibre composites display with respect to other materials across a wide range of applications. In aerospace and marine industry, however, we can encounter challenges arising from certain working conditions that can significantly affect the mechanical response and integrity of composite structures. First, humidity or water exposure can induce reduction of the material strength and stiffness. Second, hot or cold temperatures that change the level of ductility in the composite. Finally, dynamics loads that may appear during service require strain rate sensitive properties to be considered. In this work, we show experimental capabilities and methodologies developed to account for all those three effects: rapidly applied loads (impact), humidity and temperatures from -55°C to 93°C. This understanding sets the basis for the development of advanced models to design better structures.
Modelling the movement of slurry in the channel of a nature-like pump used for the safety laying of the worked out space
Authors: Vasilyeva M A , Yusupov G A , Nagornov D O , Puskarev A E , Andreev M N , Kuskildin R B , Serzhan S L , Kuskova Ya V 
Published: January 2021

Abstract
The most important task of the production of the mineral raw materials industry is to increase the efficiency of the equipment and infrastructure in operation. In particular, this also applies to the need to create transport systems with high productivity while reducing the cost of transporting mineral raw materials and waste from its processing. Particular attention is paid to the use of hydraulic filling systems as a measure to prevent man-made tectonic earthquakes during prolonged and continuous development of deposits. In this paper, we consider the problem aimed at solving the fundamental problems of developing effective methods for controlling the flow of pasty substances in pipelines of variable cross-section, intended for the production of pumping equipment and used in such industries as mining, chemical, food, etc.
Research and application of SVM analysis model for spectral fingerprint of mixed gas
Authors: MuRong Zh , Guo J Sh , Zhang Y X , Jiang Y , Yu Zh G , Bai P 
Published: January 2021

Abstract
The infrared spectrum analysis method has the characteristics of non-contact, high-speed and no consumption of sample, There is some useless interference information that is not sensitive to the analysis results in the infrared spectrum data sample. Combining support vector machine with infrared spectrum analysis, the band of spectrum data that is sensitive to gas concentration is selected by experiment. The useless, insensitive and disturbing information is removed, and the useful information is retained. And then the infrared spectrum analysis model based on support vector machine is used to complete the output of gas concentration of mixed gas components. Based on Lambert’s theorem and using the known spectrum data samples as input in experiment, the sensitivity analysis of the mixed gas spectrum data samples is carried out by using the variable sliding window technology which is similar to the center wavelength and band-pass filter, and the start point and band width of the band are both variable. The band with small error is selected as the spectrum data fingerprint series to edit and splice, and then the mixed gas data sample with the fingerprint characteristics of the mixed gas component gas spectrum data is formed. On this basis, a support vector machine based infrared spectrum analysis model of mixed gases is established. The analytical model includes two processes: training and verification. The preconfigured mixed gas samples that are known concentration is fingerprint edited and processed after scanning by the spectrometer. Then the gas samples are formed the spectral data samples which can be considered as the input samples of the analytical model. The model is trained to determine the support vector and corresponding weight of the analytical model based on the spectral data samples; The fingerprint characteristic data samples of the unknown-concentration mixed gas spectrum are tested by the analytical model that has determined parameters. Then, the gas concentration of the mixed gas components is obtained. The aspects of spectral data’s fingerprint feature extraction and the selection of the model’s main parameters are researched, through experiment, the methods and processes of fingerprint feature editing and splicing extraction of spectral data are studied, and the influence of the model’s parameters on the analysis results is optimized. The experimental results show that under the condition of optimizing the model’s parameters, selecting the fingerprint features of the spectral data reasonably and constructing a new spectral data sample with the fingerprint features of the mixed gas component can help eliminate the measurement cross sensitivity caused by the cross overlap of the absorption spectra of the mixed gas component, and improve the calculation efficiency and the analysis accuracy, which has theoretical and practical value.
Method for accurate multi-target discrimination and compound friend or foe identification of millimetre wave system based on laser ranging technology
Authors: Zhang Lei 
Published: January 2021

Abstract
This paper uses laser ranging technology, by multiplexing of ranging buttons, reconstruction of laser rangefinders and other equipment, and utilizing distance-based comparison methods to achieve accurate discrimination of millimetre-wave identification friend or foe systems under multi-target conditions, further improving identification reliability. The experiment proves that the method is feasible and effective.
Random disturbance in cavity boundaries
Authors: Wang Kangjian , Rong Guang , Mu Qing , Yin Hongqiao 
Published: January 2021

Abstract
The water condition usually is complicated due to many uncertain factors such as internal wave, density differences and so on. So the real cavity boundaries is hard to predict for a supercavition projectile. In this work, a random disturbance model is established based on Poison process of random mathematics. This model is employed to the Logvinovich cavitation expansion equation for simulating a cavity in real ocean environment. A detail of cavity outline is obtained by this calculation. The results indicate that the cavitation boundary of higher velocity case is smoother than lowers. The parameter λ of Poison model is a key factor of disturbance frequency, which largely affects the length of cavity. The λ is proportion to the cavity length. This provides a new method for water environment cavity analysis.
Multi-hypothesis distributed video compression sensing based on key frame secondary reconstruction
Authors: Yuchen Yue , Jianhua Luo , Hua Li 
Published: January 2021

Abstract
Reconstruction algorithms are the key technology of distributed video compressed sensing. The research focus of traditional distributed video compressed sensing reconstruction algorithms is mostly on improving the reconstruction quality of non-key frames, ignoring the reconstruction quality of key frames, and the information of key frames are not Underutilized. In view of the above problems, a distributed video compression sensing algorithm based on secondary reconstruction of key frames is proposed. Firstly, the fractional order total variation algorithm is used for the initial reconstruction of the key frame, and the reconstructed frame is used as the reference frame to assist the secondary reconstruction of the key frame, which improves the reconstruction quality and reduces the calculation complexity. Then, a multi-reference frame bidirectional prediction hypothesis set optimization algorithm is proposed to increase the number of reference frames and improve the quality of the hypothesis set through optimization without expanding the size of the hypothesis set. Experimental results show that the overall performance of the proposed algorithm is better than the most advanced methods.