bluuebunny/crossref_metadata_2025_split huggingface dataset:
The drones configuration system based on linear programming with A-star intelligent algorithm
Authors: Lu Yizhuo , Jiang Xinxin 
Published: September 2021

Abstract
In this paper, We according to Australia on October 1, 2019 to January 7, 2020, took place during the fire, put forward a kind of drones configuration system, mainly used for the different terrain, different fire, under the premise of guarantee the safety and economy, determine the number of SSA drones and relay radio, so that the firefighters can better cooperate with EOC (Emergency Operations Center). Based on the satellite map, this paper classified the fire areas in Australia into four types, according to the performance and possible function of the drone, and determined the number of SSA drone and relay radio drone in the four areas with the largest fire area in Australia based on the different types of fire areas that have been classified, combined with drone performance, and using the idea of linear programming. Then, the A-star intelligent algorithm is introduced to the urban terrain where the hand-held bidirectional radio is limited, and the shortest path from the entrance point to the end point of the fire area is found out. According to the shortest path and the performance of the drone, the number of SSA drone and relay radio drone in this area is determined,and then the fires in Australia in recent 170 years are rated, then get a record of extreme fires in Australia over the last 170 years, and use the Poisson distribution function and Monte Carlo algorithm to predict the extreme fire scenarios in Australia in the next decade to determine the increase in the number and equipment budget of SSA and relay radio drones.Finally, this paper use ArcGIS software to eastern Victoria terrain simulation, after get the specific data, using drone configuration system determines the position of trunking radio drones, and use genetic algorithm to improve model, to get the position of trunking radio drone, the results said than before improvement, relay radio drone to reduce the number of location is more reasonable.
A study of individual identification of radiation source based on feature extraction and deep learning
Authors: Zhao Dongxing , Yang Junan , Liu Hui , Huang Keju , Li Xiang 
Published: September 2021

Abstract
Emitter identification technology can distinguish the types of radiation sources and identify the identity of emitter. It has broad application prospects in both military and civilian fields. The article mainly reviews the radiation source feature extraction methods for individual identification in recent years, and discusses the advantages and disadvantages of manually extracted features and the feature extraction based on deep learning. The technical difficulties of radiation source feature extraction methods are summarized with respect to the environment, the number of radiation sources, and the performance of algorithms, etc. Finally, the article points out the possible future development directions of individual radiation source identification.
Augmented mechanical properties of magnesium AZ91 reinforced with graphene
Authors: Yuwaraj K R , Kanagaraja K , Kumar Dadi Pavan , Reshmanth Bachu , Mukesh Bhavanasi Mohan Vamsi 
Published: September 2021

Abstract
Graphene has been impressing us in recent years by boasting some very spectacular things. Its outstanding mechanical properties made the material to be used in composites for amplifying the strength. Mechanical properties usually take precedence for magnesium alloy when it would be used as a structure material. The main focus of this project is to manufacture magnesium reinforced metal matrix composites using graphene nano powder through stir casting to enhance the mechanical properties. The uniform distribution of graphene nano powder and its large specific surface area per volume is embedded in magnesium matrix leads to increase in micro hardness, tensile solidity, fracture exertion of the composite. Compared with standard single crystal magnesium, the Mg AZ91 with 0.3 and 0.7 wt % graphene nano powder composite indicates improvement in mechanical properties. In addition to standard procedures for the tests and dissection of mechanical properties of synthesized composite, de-wintor invertor trinocular metallurgical microscopy, is used to investigate the phase segmentation, grain size and phase contrast. Additionally, Mechanical properties of synthesized composites of two different composition of graphene were compared.
Performance and evaluation of vegetable oil-based fluids as future cutting fluids in turning of duplex stainless steel
Authors: Arul K. , Rajaparthiban J. , Mohanavel V. , Sathish T , Subbiah Ram , Ravichandran M. 
Published: September 2021

Abstract
This experimental study article analyses the machinability of Duplex Stainless Steel when turned using various wet coolants, including as (Coconut, Mustard, Soyabean oil). Cutting speed, feed, depth of cut, nozzle inclination angle, pressure, and standoff distance are all input process factors. The output response parameters were considered such as thrust force, machining zone temperature, tool wear and surface roughness. In this experimental study, Taguchi technique was used to design the experimental runs under three different level combination of process parameters. The experimental result indicates that the turning performance has been improved at coconut oil condition over the other coolant conditions and it produces the uniform surface finish throughout the length of the workpiece.
Mechanical and water absorption behaviour of palm seed particles based hybrid bio-composites
Authors: Rajkumar K. , Vinoth N. , Santhosh Kumar R. , Sathish T. , Subbiah Ram , Ravichandran M. , Mohanavel V 
Published: September 2021

Abstract
In the recent decades, many scholars and researchers are interested in natural fibres today because they are inexpensive, widely available, and easy to process compared to conventional fibres. Due to environmental awareness and growing concern over the greenhouse effect, the construction, automotive, and packaging industries are also looking for eco-friendly materials that can replace conventional synthetic polymeric fibres. Alpaca fiber (AF), palm seed filler (PSF), and polypropylene (PP) were combined in this investigation to create composites that outperformed traditional polymer composites in terms of properties. The alpaca fiber/palm seed filler polypropylene (PP) composites were prepared using a conventional injection molding technique with fiber loadings of 35, 30, 25, 20, 15, and 10% and filler loadings of 15, 10, and 5%. (0, 5, 10, 15, 20 and 25 wt. percent). Polypropylene (PP)/Alpaca fiber/palm seed composites with a filler content of 20 wt. % were found to be more promising than PP/Alpaca fibre composites.
Additive manufacturing with composites of poly lactic acid (PLA)
Authors: Kishore R , Vinayaga Moorthy M , Gokul P.S , Mugilan  , Mugundhan  
Published: September 2021

Abstract
Additive manufacturing [AM] is a technology wherein the product is manufactured in a sequence of layer. AM has found a wide range of applications in today’s world as the need for a process of rapid prototyping is increasing. AM has its own place in the world of research and has been subjected to constant upgrades in process, machine setups and various other parameters. This study elaborately reviews about various methodologies in AM, its applications and its drawbacks. This work is concentrated to understand different methodologies adapted in additive manufacturing process and its process is been discussed.
Investigations on compressive strength of titanium diboride and graphite reinforced Magnesium Matrix Composites
Authors: Ravichandran M. , Subbiah Ram , Sathish T , Mohanavel V. , Arul K. 
Published: September 2021

Abstract
Magnesium matrix composites are widely used materials because of its excellent properties and low weight. In this work, the magnesium-based composites have been fabricated using powder metallurgy (PM) route. The compressive strength (CP) of the Mg-1wt.% Gr- 6 wt.% T1B2 composites were studied and reported. The effect of the compaction pressure (P), sintering temperature (T) and sintering time (h) on the compressive strength was analyzed. The increase in compaction pressure increases the mechanical properties of the composites. The optimum level of parameters for the high CS is that, A3B3C3 that is higher Pressure, temperature and time produced the high strength composite. ANOVA showed the compaction pressure is the highly influenced parameter with the F value of 180.85. Sintering time is the least contributing factor for the response for the present study.
Mechanical Properties of AlN and Molybdenum disulfide reinforced Aluminium Alloy Matrix Composites
Authors: Ravichandran M. , Mohanavel V. , Sathish T , Ganeshan P. , Suresh Kumar S. , Subbiah Ram 
Published: September 2021

Abstract
Aluminium based composites are extensively used in various applications because of its excellent properties. Aluminium alloy (AA7075) matrix reinforced with Molybdenum disulfide (MoS2) and Aluminium Nitride (AlN) have been developed via stir casting (SC) method. The mechanical properties such as hardness, tensile strength (TS) and compressive strength (CS) have been studied and reported. The increase in amount of AlN in the matrix improved the properties and decreased the elongation. The porosity % is high for the increase in quantity of the reinforcement particles.
Wear properties of waste silk fibre reinforced PLA bio composites using taguchi technique
Authors: Subbiah Ram , Krishna Kumar B. , Sathish T , Ravichandran M. , Mohanavel V. , Raja T. 
Published: September 2021

Abstract
In the last two decades, composites that are biodegradable and environmentally friendly are becoming more popular. In this paper, Biodegradable polylactic acid (PLA) biocomposites reinforced with waste silk fiber were fabricated using the hot molding technique. PLA bio-composites containing silk fibers had better wear properties, according to the findings. For superior properties, the fiber content of 30% by weight is ideal. A silk-based biodegradable composite with enhanced mechanical and wear properties can be designed due to this research. Taguchi’s L25 orthogonal array was used to study sliding speed (S), wear load (L), fiber loading (F), and abrasive distance (D). The ANOVA results found that the abrading distance was the most significant parameter, with load, sliding velocity, and fiber loading in order of importance.
Optimization on end milling operating parameters for super alloy of Inconel 617 by Taguchi’s L27 orthogonal array
Authors: Sathish T , Arul K. , Subbiah Ram , Ravichandran M. , Mohanavel V. 
Published: September 2021

Abstract
In recent days super alloys contributions were created more impact on the current industrial growth with various researches and developments. Among these super alloys in this experimental study considered on the subject of the by CNC milling machine used end milling operation parameters optimization on Inconel 617. The famous Taguchi method in the company of L27 orthogonal array is used here for the greatest results on the optimization consequences. There are the three considerations focused for the end milling operation such as rate of feed (FR), velocity of the cutting (CV) and depth of cutting (CD) with 27 combination of experiment testing. These considerations were optimizing based on the end product roughness on machined surface (ROMS) and rate of the material removal (RMR). These two responses associated parameters were separately and mutually optimized and corresponding consequences were evidently point out with a variety of plots and response diagrams. The greatest consequences of ROMS (0.208795 microns) and RMR (8.20895 mm3/sec) obtained at the testing number of 7 and testing number of 25 respectively.
Traffic controlling and monitoring using IoT
Authors: Vennila C. , Chandraprabha K. , Vijayaraj M. , Kavitha S. , Vimalnath S. , Kalaichelvi K. 
Published: September 2021

Abstract
The population is increasing the number of vehicles and the number of highways day after day; the time spent travelling, waste fuel, air pollution and related transport problems are also increasing. The greatest challenge for traffic administration authorities is therefore to monitor and monitor traffic. The related work has shown the Internet of Things and the integration of artificial intelligence to facilitate techniques for better urban and decision­making. This document creates a system model for IoT-based traffic information collection, processing and storing in real time. The aim is to ensure smooth mobility by providing roadside communications updates and rare incidents in real time. In particular, pre-alerting messages prevent and delay road congestion and peak hours in emergencies. The system also sends traffic updates from the database of administrative sensors. The system proposed evaluates the feature of the model and shows expected accurate results for vehicle detection and the minimum error in the estimates of occupancy.
Experimental Investigation of unused heat recovery using ORC cycle in a passenger car
Authors: Yuwaraj K R , Srinivasan S , Rajesh S , Arun B , Aftab Aatif 
Published: September 2021

Abstract
The internal combustion engines of automobiles generally operate around 25-40 percent conversion efficiency. The productivity of the engine can be improved by using the dissipated waste heat by the automobile cooling jacket. An ORC (Organic Rankine Cycle) unit can be installed to recover the waste heat in engine cooling jacket of a passenger car. The installation of this unit shall reduce part load from the engine by reducing the load acting directly on the alternator. The System shall increase the overall efficiency and also improves the fuel economy by using the waste thermal energy. A Thermodynamic cycle analysis and prototype fabrication of model has been considered for the experimental evaluation of the efficiency and effectiveness of ORC system. The cycle is considered using an Automotive Air-conditioning Scroll compressor as the turbine expander and also as an feed pump. Low temperature heat source from a heater is considered for the heat source in the boiler setup. The ORC turbine shall be coupled with and Electric Generator and then to the battery for recharging. The whole Setup is considered for mass production of ORC Units for cheaper price and light weight. Owing to the fact that this setup is a prototype the efficiency of the cycle can be improved further in order to careful adjustment of the critical parameters such as pressure, temperature, flow rate of the refrigerant of the thermodynamic cycle and the flow rate of the coolant according to the actual performance of the vehicle.
New approach to optimize groundwater usage using multi-criteria decision making techniques
Authors: Aparna P , Abhinaya V , Anbarasi D , Balaji V 
Published: September 2021

Abstract
Chronic pumping of water from aquifers leads to groundwater depletion, leading to an alarming scarcity of groundwater supply. Early detection of low aquifers levels can prevent the complete exhaustion of groundwater. We propose a Groundwater Optimization model using Multi-Criteria Decision Making (MCDM) techniques based on field values of bore wells like aquifer level, availability of nearby bore wells, and depletion to recharge ratio. In order to achieve higher accuracy than the existing models, we take both predefined values and on-site values of individual bore wells. The hardware components include a calibrated pressure transducer, water sensor, GSM module, Raspberry Pi, and IoT module. They are used in order to send the in-field data. When the aquifer level drops below the threshold level, an SMS alert is sent to the owner of the bore well. The threshold level is dynamically determined using the key steps of MCDM methods. The MCDM methods are implemented in Python code to determine and fix the threshold for the instance. The frequency of data logging is adjusted by studying the input patterns, which saves storage. When the water level drops below the threshold level an aquifer recharge technique is sent as a recommendation. The proposed optimization model has the potential to be applied to a larger geographical area in the future.
A Review on the significant classification of Additive Manufacturing
Authors: Shanmugam Ragavanantham , Ramoni Monsuru O. , Chandran Jishu , Mohanavel Vinayagam , Pugazhendhi Lakshmanan 
Published: September 2021

Abstract
Additive manufacturing (AM) implementation has advanced beyond prototyping towards becoming an extremely configurable manufacturing process with the illustrated ability to change conventional manufacturing in the future generations entirely. AM is completely based on Rapid Prototyping (RP), which helps fabricate critical and immense structure with 3D CAD software. The primary goal of this method is to create a product with optimal features such as compact, increased energy absorption, material reduction, insulation, and heat exchange. On the opposite, modeling and generating lattice structures and implementing different applications are all required. This review will get into the concepts of various classifications of additive manufacturing and its features.
Salen cobalt complex catalyzes the copolymerization of carbon dioxide and propylene oxide with high activity
Authors: Wang Wen-Zhen , Zhang Yi-Le , Shi Jun , Wang Li , Jia Xin-Gang , Li Lei-Lei , Zhang Kai-Yue 
Published: September 2021

Abstract
A series of Salen cobalt complexes have been successfully synthesized and they show high catalytic activity for the copolymerization of propylene oxide (PO) and carbon dioxide (CO2), yielding poly(propylene carbonate) (PPC). After optimizing the reaction conditions such as temperature, pressure and reaction time, the catalytic system achieved excellent conversion (99.47%) and showed high catalytic activity with an initial TOF up to 483.18 h−1. The content of carbonate chain of the PPC and head-to-tail connection are 88.92% and 86.79% respectively. PPC starts to decompose at 230°C and completely decomposed at 260°C. The Mn of the PPC is 109.898 kg/mol, and the PDI is 1.65295.
Preparation of praseodymium-doped La9.33(SiO4)6O2 apatite-type solid electrolytes and analysis of the conductivity mechanism
Authors: Chen Shi , Huang Zhiliang , Wu Changsheng , Huang Jiangsheng 
Published: September 2021

Abstract
In order to improve the electrical conductivity of lanthanum silicate oxide electrolyte (LSO), La9.33Pr
x
Si6O26+1.5x
(LPSO) solid electrolyte powder doped with praseodymium was synthesized at 600 °C by urea-nitrate combustion method with lanthanum oxide (La2O3) and Praseodymium nitrate hexahydrate (Pr(NO3)3·6H2O) as raw materials. It is shown that the Pr-doped LSO still have the typical apatite structure and occupy the LaII cation vacancy at the 6h position. Optimal sintering temperature is 1550 °C. La9.33Pr0.5Si6O26.75 reaches the highest conductivity (4.80×10−4 S·cm−1 at 600 ºC). The main factor that Pr-doped improves the performance of LSO is that Pr-doped that introduced more interstitial oxygen ions Oi* and increased lattice volume, so improved the transport efficiency of interstitial oxygen. The secondary factor is the decrease in the concentration of cation vacancy after Pr-doped, which reduced the negative defect stacking centers. Thereby, decreases space drag of interstitial oxygen transport which increases conductivity of LSO. The praseodymium doped to enhancement LSO conductivity mechanism that interstitial oxygen concentration-cation vacancies concentration-lattice volume composite enhancement mechanism was proposed.
Experimental Study to Investigate the Effects of Temperature Rise during Discharge on Li-ion Battery Degradation
Authors: Xu Bin , Wen Guangrui 
Published: September 2021

Abstract
Li-ion batteries with higher discharge C-rates show accelerated capacity fade rates. However, an inherent coupling exists between discharge C-rate and temperature as heat generation is inevitable during discharge. The effects of discharge C-rates on capacity fade under consideration of temperatures have not been investigated. This paper presents an experimental study that separates the temperature rise during discharge from the non-thermal effect of discharge C-rates. A design of experiment including two discharge C-rates (C/2 and 3C) and two controlled temperatures (controlled ambient temperature at 45 °C and controlled surface temperature at 45 °C ) were used to provide cycling conditions. In controlled ambient temperature tests at 45 °C, battery surface temperature increased by 5.2 °C at the discharge rate of C/2 and 20.6 °C at 3C. In controlled surface temperature tests at 45 °C, battery surface temperatures were maintained at 45 ±1 °C . Experiment results show that the battery capacity degradation was the joint contribution of the temperature rise and non-thermal effects. Temperature rise during discharge contributes to the battery capacity degradation, while the non-thermal effect of discharge C-rate dominates the capacity loss.
Using DID Model to Analyse the Impact of Vehicle Purchase Tax on the Sales of Alternative Fuel Vehicle
Authors: Ma J , Mayburov I 
Published: September 2021

Abstract
At present, countries in the world are paying more and more attention to the importance of green development and sustainable growth, and taxation plays a very good role in regulating it. In China, the role of taxation policy as a means of stimulating green consumption is becoming more and more significant. This paper starts with the vehicle purchase tax and uses the Difference in differences (DID) model to study its impact on the alternative fuel vehicle industry. The purpose of the research is to use the method of empirical research to test the impact of preferential vehicle purchase tax policies on the sales of alternative fuel vehicles using automobile production and sales data as samples. This research is helpful to enrich the research on preferential policies of vehicle purchase tax, and provides a good reference for empirical research on the impact of vehicle purchase tax on the sales of the automobile industry. Researched the impact of tax incentives for automobile purchase tax, and proposes constructive guidance with China’s specific situation. It has an important impact on promoting China’s further improvement of the tax system reform and the development of the alternative fuel vehicle industry, and also plays an active role in supporting macroeconomic transformation and development.
Vulnerability of the Belt and Road Initiative to External Water Dependency
Authors: Wang L P , Li Z H 
Published: September 2021

Abstract
The Belt and Road Initiative (BRI) was proposed by China, aiming to promote multilateral cooperation with the world. However, existing studies has shown the external water dependency of the Initiative on the rest economies (Non-BRI), which may enhance the vulnerability of production activities in BRI. To understand the vulnerability of the BRI to water scarcity in Non-BRI, this study evaluates the impacts of water scarcity in Non-BRI on BRI, by using a multi-regional input-output model. Results show that among all BRI, China, South Korea, Russia and India were most vulnerable to water scarcity in Non-BRI, especially Spain, Sudan, the United States and Australia. Water scarcity to Agriculture sectors of Non-BRI exerted widespread influences on the BRI trade system. This study analyses the vulnerability of the BRI induced by water dependency on Non-BRI by identifying critical nations and sectors, and informs stokeholds of the BRI to pay attentions on the water scarcity of their upstream to mitigate the supply chain risk, and thus achieve sustainable development.