bluuebunny/crossref_metadata_2025_split huggingface dataset:
Participation and interest in young generations on business distribution of strategic food commodities in South Sulawesi
Authors: Jam’an  , Mardiyati S , Ruliaty  
Published: May 2021

Abstract
The development of strategic food commodity distribution businesses in rural areas really requires participation and strengthening the interest of the younger. This study aims to determine the level of participation and interest of young farmers in the development of strategic food commodity distribution businesses. This research was conducted in the area of Gowa Regency, South Sulawesi Province. The sampling method used purposive sampling, which is deliberately selecting young farmers who are members of farmer groups, so that the sample obtained is 42 respondents. Data analysis is descriptive qualitative and quantitative analysis (scoring technique with a Likert scale). The results of this study indicate that the level of participation of young farmers in the strategic food commodity business development program is assessed from three aspects, namely planning, implementation and evaluation. The level of participation in the planning aspect was 68.19 percent, categorized as high, while the implementation and evaluation aspects were respectively 65.14 and 58.86 percent which were categorized as moderate. Thus, the participation rate was generally 64.06 percent, which means that it was quite participatory. The interest of the younger generation in the marketing/distribution business of strategic food commodities is in the medium category of 65.81 percent.
Molecular and phenotypic evaluation for heading date and panicle length on F2 selected aromatic rice progenies derived from gene pyramiding effort
Authors: Carsono N , Saragih Y , Sari S , Rachmadi M 
Published: May 2021

Abstract
Gene pyramiding, an attempt to combine many favourable genes from many parents into one single genotype, has been applied in recent years. Through hybridization of many rice genotypes including cv. Pandanwangi (fragrance rice), PTB33 (brown planthopper resistant), Ciapus (high yield and moderate amylose content) and KA (early maturity), some promising genotypes have been obtained. Thus, in order to select the best genotypes among the F2 progenies derived from gene pyramiding effort, both phenotypic and molecular evaluations have to be done. These pyramided genotypes were evaluated with IFAP and ESP (fgr gene), RM19414 (Hd3), RM7601 (Hd2), and RM3600 (LP1) for molecular assessment, meanwhile morpho-agronomic traits were done to assess their performance. Aromatic trait was detected by 1.7% KOH. Meanwhile heading date and panicle length were measured phenotypically. Data obtained from molecular markers were scanned by visualizing DNA bands and calculating PIC (Polymorphism Information Content). Data from phenotypic markers were categorized based on IBPGR (International Board for Plant Genetic Resources) standards. Genotype #131 was supposed to have high yield potential, early maturity, aromatic, and intermediate amylose content. The selected will be recommended as promising genotype and continued as elite breeding materials and will be evaluated for their benefit.
Isolation protocol of jumbo phage from winter grass soil
Authors: Wafa A , A Mohamed-Saad , Addy H S , Kawasaki T 
Published: May 2021

Abstract
Jumbo phage can isolated by two different methods and protocols. It depends on size, phage species, substrate sources, environment, media and tools. Each method has positive and negative results within each factors. The research aimed to determine the suitable protocol to isolated the jumbo phages from winter grass soil during winter conditions, utilizing two main protocols, the enrichment protocol and non-enrichment protocol. In Sequent, research was conducted with several steps, including bacterial isolation, jumbo phage isolation, plaque test in Escherichia coli colony, bacterial genus identification, phage test in soil bacteria, protocol evaluation, DNA extraction and electrophoresis. Based on the plaque size and plaque total, each protocol did not significantly differ on plaque total among the E. coli or each isolated soil bacteria. On the E. coli test, the plaque total average was 65 plaque, nor 45 plaque emerge on each isolated soil bacteria. The significant difference on each protocol were on the clarity of plaque. Based on visual observation, the plaques with enrichment protocol are clearer. It was obvious that the isolation of jumbo phage from the winter grass during winter conditions can be done without the enrichment protocol. It can isolated with standard isolation protocol.
Experiment of the Influence of Dynamic Balancing Precision on Rotor Dynamic Behavior of 75KW Oil-free Turbo Blower
Authors: Dong Zeda , Hou Liukai , He Bo , Xu Fangcheng 
Published: May 2021

Abstract
The principle and structure of the 75kW oil-free turbo blower is briefly introduced and the performance of gas foil bearings (GFBs) is tested. According to the test results, the lift-off speed of the gas foil journal bearings (GFJBs) using in 75kW oil-free turbo blower is about 4000rpm, and the gas foil thrust bearings (GFTBs) can provide at least 140N and 200N load capacity at 7200rpm and 9000rpm, respectively. The rotordynamics behavior of oil-free turbo blower is studied. Two proximity probes and speed sensor are installed to monitor the horizontal vibration displacement, vertical vibration displacement and shaft speed, respectively. And the vibration spectrum and the rotor axis orbit are analyzed. It was found that the maximum vibration amplitude of the rotor with dynamic balancing precision of G-1 was only 3.5 μm, and no other low frequency other than low frequency caused by signal interference. The fundamental frequency vibration amplitude of the rotor with dynamic balancing precision of G-2.5 is larger when running stably, but there is no low frequency and high frequency vibration with higher amplitude. Shaft couldn’t lift-off with dynamic balancing precision of G-6.3 In general, oil-free turbo blower with two kinds of dynamic balancing precision rotors can operate well.
Predicting the Influence of Process Parameters on Depth of HAZ Using Artificial Neural Network on Shielded Metal Arc Welded AISI 1018 Low Carbon Steel Joints
Authors: Singh R P , Pathak D 
Published: May 2021

Abstract
An artificial neural network model was executed after being developed by training a program in C++ by utilizing welding variables including input parameters like electrode angle, welding current, welding speed and welding voltage and output parameters like depth of HAZ. Experimental data were utilized to model neural network based on back propagation algorithm to predict the effects of welding parameters on weld bead geometry factors. It has been noticed that an accurately trained artificial neural network model can be easily and efficiently utilized for predicting the optimum values of depth of heat affected zone.
A short review on the Industrial applications of phase change materials
Authors: Nagar Sumit , Singh Pradeep Kumar 
Published: May 2021

Abstract
Latent heat storage is the best possible ways of storing thermal energy. This provides higher storage density with very small temperature difference between storing and releasing heat energy. This review paper provides a detailed classification of Phase change materials (PCMs) along with their varied applications. To the best of author’s knowledge till now, nearly all the applications of PCMs are listed in this short review. The gap between demand and supply of energy can be bridged by using PCMs and thereby it has become a very attractive technology. The use of a PCMs in thermal insulation, thermal comfort and energy storage have been tested in many applications.
Fabrication & Characterization of Hybrid composite with Waste Natural Fiber & Synthetic Fiber
Authors: Srivastava Rohit , Singh Pradeep Kumar , Pratap Singh Dhirendra 
Published: May 2021

Abstract
The series of development in the field of hybrid composites are exist. Which gave idea to develop new material which is fabricate with residue of natural product and synthetic fiber. The present work is focused to utilize waste of natural fiber and synthetic fiber to development of Hybrid composite. There are variety of natural fiber available cheaply also become waste after their primary objectives like sugarcane bagasse, sisal coconut coir, banana fiber obtained from nature directly and some of synthetic fiber like rubber etc. The present work is a progress in this regards by using waste synthetic fiber that is wheel tyre with residue of Sugarcane that is bagasse taken into consideration their tensile strength and elastic property of wheel tyre. Both the fibers got waste in millions of tones across the world by every year and their decomposition is very hazarded for environment . So this work is aiming on the two obj ectives one is to develop new material and characterized their property other is mitigate waste material by converting it in some use full material which is many goods of day today life human kind also in automobile sector medical equipement and aviation sector. Hand ley up technique is used for developing new material, extraction process of natural fiber, clinging and cleaning, extraction of synthetic rubber. Epoxy resin is used as a bonding agent and characterized their mechanical properties like tensile strength compressive strength impact strength hardness and moisture containing capacity.
Applications of Nanofluid in the thermal devices: A Review
Authors: Karmveer  , Gupta Naveen Kumar , Alam Tabish 
Published: May 2021

Abstract
Nanofluids are used to augment the thermal performance of various devices. They have gained remarkable attention of the researchers worldwide in the various industrial applications due to their outstanding properties since previous two decades. The nanomaterial enhances various thermo-physical properties of working fluids like thermal conductivity, convection coefficient, viscosity and specific heat etc. the traditional fluids used so far as a working fluid were replaced by nanofluids such as molten salt, water, ethylene glycol and vegetable/engine oils. The thermophysical properties of the working fluid properties by using nanofluids were depends upon Reynolds number, Richardson number, and thermal conductivity of nanomaterial, flow rates, nanomaterial concentration and inlet temperature of fluid. In this review, ongoing research and development on thermo-physical properties of nanofluids in the thermal devices is summarized and to provide viewpoint for future research and development.
Analysis of Stress Intensity Factor in a Surface Cracked Plate under Convective Thermal Loading
Authors: Chhabra Varun , Kumar Gupta Naveen 
Published: May 2021

Abstract
A pre-existing surface cracked stainless steel specimen is brought to light to the cyclic temperature of convective medium. The history of cracked body’s stress intensity factor (SIF) is obtained by using appropriate weight function method is presented in this paper. Numerical simulation is performed with FEM based software ABAQUS. Cyclic temperature induces the compressive and tensile stresses in the specimen which in turn becomes the main cause of cyclic fatigue in the specimen. The other intensity function of body induced stress is stress intensity. The result shows that the behavior of Fatigue does not based only on the temperature range but also on frequency, Biot number and Initial temperature of the specimen.
Rheological Analysis on Joannesia Princeps Oil for Sustainable Bio-lubricant in Electric Vehicle Application
Authors: Kotia Ankit , Sharma Raj Kamal , Sharma Prasanjit , Chugh Rishabh , Gemini Raman Deep , Chowdary Krishna , Galgat Sagar 
Published: May 2021

Abstract
The Petroleum-based lubricants cause harmful effects on the environment due to its non-degradable and highly toxic properties. The shortage of mineral oil reserves leads to finding an alternative for petroleum and its product. The present study analyzes rheological properties of Joannesia Princeps oil for evaluate its potential to work as electric vehicle lubricant. Test samples prepared with multi wall carbon nanotubes (MWCNT) and Cerium oxide (CeO2) nanoparticles to change the enhancement in rheological properties. It was observed that MWCNT and CeO2 made 14% and 12% improvement in viscosity at lower shear rate respectively, however no significant change was observed at higher shear rate.
Machining process parameters optimization of Aluminium Alloy AA6262 T6 for CNC Turning by Grey Relational Analysis
Authors: Sharma Rahul , Sharma Kamal , Kumar Saraswat Bhupendra 
Published: May 2021

Abstract
This research paper is based on the optimization for machining parameter of turning process of CNC M/C tool on aluminium alloy with the help of grey relation analysis. The parameters is found out the experiments perform on aluminium alloy AA6262T6. Machining operation is performed under dry cutting condition by uncoated carbide insert tool. In this research work operation parameters like feed, speed and depth of cut is optimized with output of material removal rate and surface roughness. In the present work, grey relation grade is used as a tool for optimization technique. The result is obtained by grey relation grade find out through grey relation analysis. The experiment outcomes are clear that the response in turning process can be increase efficiency from this fresh approach. To validate the test result, the confirmation test is performed. Prediction of GRA shows the noteworthy increment of 16.629 (14.55 %) in Material Removal Rate (MRR) and a noteworthy reduction of 0.148 (8.9%) in Surface Roughness.
Investigation of the use of micro-alloy and As-Cast Microalloy steel in Automotive application
Authors: Pant Gaurav , Sonia Pankaj , Kumar Sharma Harish 
Published: May 2021

Abstract
Vehicle industry assume unequivocal role in the financial development of the nation. The significant test before car industry is to deliver light weight parts without diminishing strength parts, for example, connecting rod and driveline segment, this can be accomplished by utilizing high strength low alloy steel. In all metal forming process forged parts posses high yield strength due to the favored direction of grains. Accordingly present exploration work zeroed in on Micro basic and Mechanical Behavior of As-Cast and Hot Forged Microalloy Steel. Impact of thermo-mechanical handling and cooling rate is additionally considered. Characteristic evaluation investigation of As-projected steel and hot fashioned steel is contemplated utilizing optical and SEM technique. Tensile testing performed on Instron testing machine. It is observed that due to the thermomechanical handling of steel there is development of strain instigated precipitate that advantage as far as effect strength and toughness of steel.
Gadolinium ferrite nano-particle based electrochemical sensor for detection of acetylsalicylic acid
Authors: Kumar Yogendra , Gupta Deeksha , Singh Prabal Pratap , Kumar Das Dipak 
Published: May 2021

AbstractA novel electrochemical sensor based on gadolinium ferrite nano-particle (GdFeO3/GP) has been fabricated for the detection of aspirin. FESEM and TEM results reveal that synthesized nano materials are in nano range with particle size of 40 to 45 nm. Cyclic voltammogram of 1μM ASA indicated a single irreversible oxidation peak at 1.1 V which was 2 fold higher than bare GP electrode. Maximum current value was obtained with supporting electrolyte at pH-6.0. Hence phosphate buffer solution of pH 6.0 was employed in all experimental work, maintaining scan rate at 100mVs-1.
A shape and texture features fusion to retrieve similar Trademark Image Material
Authors: Tripathi R K , Agrawal S C 
Published: May 2021

Abstract

Trademark images or materials such as symbols, text, logos, image, design or phrase are used to unique representation of any organization. Retrieval of trademark material images are important to protect the new trademark image that is to be registered. Therefore, retrieval of similar trademark images is required. In this paper, an approach is presented to extract more similar trademark images so that a unique trademark image can be registered. In this paper, Zernike moment of the query image and dataset images are computed, then most similar images from the dataset are retrieved at the first layer refinement. In the second layer, texture features are extracted of query image and refined dataset images to retrieve most appropriate similar images. Zernike moments is applied to extract global shape features and Scale Invariant Feature Transform (SIFT) and Speeded-Up Robust Feature (SURF) are applied to extract texture features on the basis of a few key-points of the trademark images. A weighted average of both the key-points feature vectors is computed for retrieving the rank1, rank5, rank10, rank15 and rank20 most similar images using Euclidean distance. Experiments have been performed on a proposed dataset to perform the analysis and found that proposed work perform better and improves the accuracy.
EDM Process Parameters Impact on MRR and TWR for Titanium Alloy [Ti6al4v] and their Optimization Using Taguchi and Topsis Method-An experiential Analysis
Authors: Sharma Avdhesh Kumar 
Published: May 2021

Abstract
To pick ideal or close to ideal cutting conditions in different sorts of metal cutting strategy overhaul issues, it joins the utilization of at any rate one of the current appearing and streamlining methods, making the structure a bound together and persuading mean. The Electrical Discharge Machining (EDM) is perhaps the most striking and most saw non-customary machining measure used. In this current work a figure is made for ideal game plan of limits from a gathering for most outrageous material removal rate (MRR) and least wear rate (TWR). A lot of investigations reliant on L9 display obtained by Taguchi strategy are performed for four data boundary (peak current, pulse on time, pulse off time and gap voltage), all of them having 3 levels of characteristics. The results of each set of investigation is recorded for evaluating MRR and TWR. The results got for MRR and TWR are analysed using TOPSIS methodology for confirmation of ideal course of action of cycle boundaries of EDM which gives most outrageous MRR and least TWR. Results obtained here show that the model embraced here has a sufficient display for progression.
Investigation of mechanical property of eco-friendly natural filler (ground nut, saw dust and hybrid shell) reinforced epoxy based composite
Authors: Mausam Kuwar , Bhardwaj Anushtha , Pratap singh Ravindra 
Published: May 2021

AbstractDevelopment and advancement of materiel will open the new research area for the use of different eco-friendly filler reinforced epoxy composites. These composite are environment friendly and also prevent the harmful effect of polymer based composite over human life and environment. This study examines the potentials of ground nut shell, sawdust and hybrid bio filler as reinforcement in epoxy matrix. Initially, an experiment was carried out on the mechanical characteristics of the natural fillers indifferent proportions of its volumes such as 10, 20 and 30, in both treated and untreated cases. 20%-volume fraction show the most optimum result. Besides, an analysis using Maleic acid has also been made on the filler surface modification. In comparison with other cases of treatment, the treatment using Maleic acid is more effective in enhancing the flexural, tensile and impact properties of the composite. The synergetic impact in the treatment is an important cause for the improvement of the properties. The effect also strengthens adhesion and stress transfer along with reinforcement. SEM is used for filler material evaluation process.
Experimental study of Exhaust Emissions from Diesel Engines using Gas Analyser and Smoke Meter with Activated Carbon Filter
Authors: Khatun S , Mirza Y A , Choh A J W , Singh R , Kumar S 
Published: May 2021

AbstractThe adsorption technique has proven a better solution to reduce emission in diesel engines. Activated carbon is taken as an adsorbent for the study to investigate the engine behaviour on its performance and emissions. The experimental setup along with testing of the emission for gas analysers as well as for smoke meters was performed. In this paper, the emissions from diesel engines are reviewed. To reduce the emissions from an automobile, experimental methods of adsorption using activated charcoal in diesel engines is set up. Activated carbon is one of the best adsorption materials due to its high porosity and capture capacity, when reacted with other reagents in order of activation. The measurement of emissions from the diesel engine is obtained using gas analyser and smoke meter, both before and after the installation of filter. After successive results obtained by using these devices, the performances of the devices and efficiencies of the filter used is compared. In this experiment, we can see that the filter (activated carbon) has efficiently reduces the value of HSU by 43.73% and K value by 48.94%. Hence, the overall efficiency of activated carbon used is about 46%.
Improvement in Energy Efficiency & Heat Loss Minimization during Boiler Operation: A Case Study
Authors: Dwivedi Vijay Kumar , Gupta Sanjeev Kumar , Verma Harshita , Yadav Neha , Yadav Harsh 
Published: May 2021

Abstract
A case-study has been done to analyze the 500 MW boiler performance located in middle part of India, manufactured by M/s BHEL (C.E. design). At the power plant consideration, it was observed that they were operating the boiler with high excess air and the soot blowers were being operated once in 10 days. In this paper, an attempt has been made to increase the efficiency of the boiler by making certain changes such as reduction in excess air and increasing the frequency of using soot blowers. It was concluded that the efficiency of the boiler can be improved by at least 1.41% over the existing efficiency. For the evaluation of boiler efficiency the “heat losses method” was applied. With an increase of efficiency by 1.41%, 30,000 MT of fuel can be saved as compared to annual consumption of 2.38 million tonnes of coal for 500 MW boilers. By this we can secure access to all sources of energy including coal, oil and gas supplies worldwide for boilers, till the end of the fossil fuel era, which is fast approaching and it will ensure us that our country will be able to supply energy to all its citizens at affordable costs at all times.
Numerical investigation of performance analysis of Triangular Solar air heater using Computational Fluid Dynamics (CFD)
Authors: Kumar Rahul , Kumar Verma Sujit 
Published: May 2021

Abstract
Computational fluid dynamics based research is performed to investigate the thermal efficiency of triangular solar air heater (TSAH) passage. A systematic analysis of the device output parameters was carried out controlled under all test conditions including solar intensity, mass flow rate and air temperature at the inlet section. The glazing side of the triangular section is subjected to the solar intensity 746 W/m2. The three-dimensional TSAH model is developed and simulated using the FVM method with CFD code. The flow control equations have been solved with commercial ANSYS 14.5 software.A uniform triangular grid is generated according to the configuration using tetrahedron. The k-ε, RNG turbulence model with enhanced wall treatment function is used to solve the energy transport equations for turbulent flow. The optimal values of the geometric parameters are obtained on the basis of the performance index in the Reynolds number range from 2263 to 18103.It is observed the value of thermal efficiency increases with respect to velocity of air. It also increases the absorber and glass plate temperature.