bluuebunny/crossref_metadata_2025_split huggingface dataset:
Characteristics of Magnesium/B4C Reinforced Composite Fabricated by Stir Casting Method
Authors: Paulo Hang Jutanaiman Sutan , Zulfia Syahrial Anne 
Published: October 2020

Abstract
At present the development of magnesium composites is increasingly being carried out, this is due to the main advantages of magnesium which has the lowest density when compared with other metals so that it can save fuel use when applied as a constituent of an automotive product yet still has great mechanical properties. In this research, magnesium composite is fabricated by mixing magnesium as composite matrix and micro B4C as reinforcement particle with 2, 4, 6, and 8 Vf-% by stir casting method. The magnesium reinforced B4C particles has improved the mechanical properties of the composite. The best mechanical properties of magnesium composite are shown by the addition of 8 Vf-% B4C particles. These values increase up to 73 HRH for the hardness and 64 MPa for the UTS as well as, 0.11 J / mm2 for the impact value. The wear rate also reduced to 0.0023 mm3/m. The mechanical properties of magnesium composite are increased due to the increasing number of B4C particles thatcaused new interfaces which will block dislocation movement and dispersed B4C particles will also act as load restraint elements. Composite characterization was also carried out by using SEM-EDS and XRD test to find out the compounds and phases formed from the fabricated composites -then it was known that the possible compounds formed from the composites produced were MgB2, MgO, B4C, and Mg2B2O5 respectively.
Iodogen Method on Iodine-131 (131I) Radiolabelling of Silver Nanoparticle (AgNPs) as a New Agent of Molecular Imaging
Authors: Aries A , Sarmini E , Nurmanjaya A , Subechi M , Sholikhah UN , Lestari E , Setiawan H , Febriana S , Sriyono S , Abidin A 
Published: October 2020

Abstract
The application of nanomaterials in the treatment of various types of diseases continues to increase, including the use of silver nanoparticles (AgNPs). However, there still limitation in terms of the research on labelling AgNPs using radioactive compound such as 131I. The aim of this study is to carry out a method on 131I radiolabelling of AgNPs by using Iodogen as an iodination reagent. The radiolabelled 131I-AgNPs were then purified by using Sephadex-25 column chromatography with 0,05 M phosphate buffer solution as mobile phase for the first purification and HEPES solution for the second purification. The radiochemical purity of radiolabelled 131I-AgNPs was then determined by using autoradiography scanner. 131I-AgNPs with a purity 94,5±0,2121% were obtained after the purification. Stability test of the 131I-AgNPs was carried out by determining the radiochemical purity of the 131I-AgNPs on the first day until the fifth day of storage in the room temperature and refrigerator. The best stability of the 131I-AgNPs after purification resulted in radiochemical purity >90% until the fourth day and <90% on the fifth and subsequent days in both storages. This result shows that storage in the refrigerator can be a better choice rather than in the room temperature.
Estimation of Muon Stopping Site in CoCr2O4 Using Density Functional Theory
Authors: Heda Murdaka Fiqhri , Nakamura Kohji , Agung Nugroho Agustinus 
Published: October 2020

Abstract
Spinel material Cobalt Chromite (CoCr2O4) is a ferrimagnetic material with TC of about 93 K. This compound has attracted much attention due to the presence of electrical polarization which related to spiral magnetic transition at TS = 26 K. [Physical Review B, 70, 214434, 2004]. This spiral magnetic transition phenomena could be explored by experiment using Muon Spin Rotation, Relaxation, and Resonance (liSR) . Positive muon in liSR plays a role as a local magnetic probethus, we need to determine the muon stopping site information. In this study, we investigate the muon stopping site of CoCr2O4 with ferrimagnetic ground state using spin polarized Density Functional Theory implemented in Full-potential Linearized Augmented Plane Wave (FLAPW) method. The exchange-correlation effect was considered in the scheme of GGA+Ueff approximation. Based on the minimum energy of electrostatic potential, we obtain the muon stopping site around the three Oxygen ions in the tetrahedral site of Cobalt.
Electrical Properties Study of Solid Polymer Electrolyte based on PolyCaproLactone/LiCF3SO3Added Plasticizer
Authors: Yulianti Evi , Sudaryanto  , Deswita  , Wahyudianingsih  
Published: October 2020

AbstractThe electrical properties of solid polymer electrolyte based on biodegradable polymer PolyCaproLactone (PCL)/LiCF3SO3with PC plasticizer addition have been studied. Polymer electrolyte membranes were prepared by solution casting technique by varying propylene carbonate (PC) composition (0-60) % weight. The membranes were characterized by the Electrical Impedance Spectroscopy at room temperature to measure its ionic conductivity and other electrical properties such as dielectric constant and tangent loss. The PCL/LiCF3SO3system containing 20% weight PC plasticizer exhibits the highest conductivity of 4.92 x 10−4S/cm at room temperature. The dielectric constant shows decreases with frequency increasing and it depends on dissociation of ions in the polymer electrolyte system. The tangent loss suggests that there are relaxing dipoles in the polymer electrolyte that shift toward higher frequency region. The membrane microstructure also investigated by XRD and the result showed that the PC plasticizer made the PCL/LiCF3SO3system become more amorphous
Study Performance of LiFePO4/Graphite Cylindrical Pouch Cell
Authors: Honggowiranto Wagiyo , Kartini Evvy , Sudjatno Agus 
Published: October 2020

Abstract
Cylindrical cell Lithium ion battery with a pouch casing has been made at the Integrated Battery Laboratory, BATAN. LiFePO4 double sided coated aluminum foil with a thickness of 180 μm is used as a cathode sheet. The anode sheet is made from two-sided artificial graphite coated on copper foil with a thickness of 197 μm. The composition, crystal structure, of the coated LiFePO4 was measured by XRD. Battery cells are built by rolling thin layers of cathode, separator, and anode material into cylindrical shape using a rolling machine. The cylindrical cell is inserted into an aluminum bag and then sealed at 175°C. Cylindrical cell-bag inserted into the Glove Box then filled with ∼ 2.5 ml of LiPF6 electrolyte liquid. A vacuum sealing machine is used to seal the remainder of the bag set at 175 oC. The performance of lithium ion batteries is characterized by using a battery analyzer. LiFePO4 shows a release capacity of 250.00 mAh, with a specific capacity of 124.10 mAh/g in the 1st cycle and 100.20 mAh/g after 100th cycle, at a rate of 0.3C. The cell shows good performance after 100 cycles with 80.74% retention.
Compressive Strength of PPC Based Quaternary Blended Concrete
Authors: Swamy Yadav G , Ayyappa R A , Guruprasad M , Hari Prasad G , Vyshnavi S , Pragnya Ch. 
Published: October 2020

Abstract
Production of sewage sludge is increasing day by day all over the world. By disposing of the sewage sludge the environmental issues take place in the society. Hence the research for replacement of cement using sewage sludge ash is essential to reduce the use of natural resources. Certainly as pond ash also coal ash as waste which compresses of bottom ash and fly ash. They contain the major chemical components which cement contain. So the major aim in this research study is to the best use of Biochar and pond ash in concrete. Concrete M20 specimens are prepared according to IS10262-2019 and by replacing cement with 5% Biochar and sand with 2-30% of pond ash by varying percentages in steps of 2 and the compressive strength was determined finally observed that 20% replacement of pond ash and 5% Biochar is giving the optimum value of compressive strength.
Twitter Sentiment Analysis on Big Data in Spark Framework
Authors: Nirmala Sugirtha Rajini S , Anuradha K , Umadevi S , Mercy Beulah E 
Published: October 2020

Abstract
Earlier for communication between people is something which is delivered by hand from one person to another. In some words, or letter Social Media an important and also an integral part of everyone’s life now days. Twitter is a social media site and its primary purposes are to convert people and allow people to share their thoughts. Twitter an American Microbe Using twitter social media users post their views, opinions and to communicate with messages called as tweets. It is one of the social media that is gaining popularity now days. As of 2014 twitter social media has more than 284 million users are in active in monthly basis and above 500 million messengers sent messages on a daily base. Twitter is created by Jack Dorsey, Noah Class, Biz stone and Evan Willians in March 2006 and it was launched in the month of July in that year. Sentimental analysis means the analysis and classification of the emotions and feelings such as positive thought, negative thought and neutral thought using text analysis techniques within text data. The aim of the proposed analysis is to identify the public opinion using NLP (Natural Language Processing) with n-gram stemming algorithm in Spark framework.
Comparison of Artificial Controller Based MRAS Speed Observer for Field Oriented Control of Induction Motor
Authors: Shareef Sheik Meera , Balaji K 
Published: October 2020

Abstract
In many industrial applications, the varying speed of the motor drives has become essential for the fast dynamic load conditions. Therefore, the detailed analysis of Field Oriented Control (FOC) with the sensor-less technique of induction motor is proposed where the reference speed is obtained from the MRAS speed observer, and fuzzy, ANN based controllers control the speed. The FOC not only control the magnitude but also provides the phasor control. The FOC is one of the sensors less technique. The sensor-less invokes the process of estimating the speed; the proposed MRAS speed observer achieves it. The MRAS speed observer gets the inputs such as current and voltage and then it converts to flux to reference speed. The FOC control the torque and flux components independently, and the flux component is obtained by the current. The fuzzy-based control technique is utilized for the control of the speed of the induction motor. In addition to this paper compares the results of fuzzy, and ANN based speed control methods, the results include the settling time, peak overshoot, ripples and accuracy of the speed. The results have been compared in the virtual environment by the MATLAB tool.
A Genetic Algorithm (GA)-PID Controller for Temperature Control in Shell and Tube Heat Exchanger
Authors: Somasundar Reddy C , Balaji K 
Published: October 2020

Abstract
In Genetic Algorithm tuned PID method for controls the fluid flow in the heat exchanger is presented in this paper. Shell and tube heat exchanger is the most generally utilized types of heat exchanger for heat transfer in many industrial purposes. The exchanger consists of mechanical part and controlling part. Both the modeled to ensure the efficient operation of shell and tube heat exchanger. The mechanical modeling is completely established on the type of applications. The controller only needs the input fluid and output fluid properties such as temperature and flow rate. Hence the primary objective of the paper is to focus on the controller part for enhancing the heat exchanger performance. This paper proposes the Genetic Algorithm tuned-PID controlling technique to make the settling time and overshoot of set point temperature to be less to a greater extent and the results are compared with the conventional PI method with various tuning algorithms [16]. The performance of proposed GA tuned plant has been compared with existing PID controller outputs with the help of MATLAB/Simulink.
Design of Fuzzy-Pid with Landsman Converter (LC) Fed BLDC Drive Using IFOC Controller
Authors: Sundaram A , Romine Peter 
Published: October 2020

Abstract
In this paper, fuzzy - PID control is designed to improve the settling time of DC link voltage of the Photovoltaic (PV) array fed landsman converter (LC). In all platforms such as medicals, automobile the utilization of variable speed drives is increased and which are directs to brushless DC motor demand in increasingly. Indirect Field Oriented Control is used to make precise and robust speed control with ripple minimization of torque. Back-EMF estimation method is contributing with IFOC control for obtaining accuracy speed in sensor-less approach and control the dynamic changes in speed. Dc link voltage of LC is maintained at constant using the Fuzzy-PID control which maintains the BLDC steady state condition while the motor speed at dynamic load as well as set point variation. The performance of IFOC based brushless DC motor is improved with high efficiency and in the MATLAB/Simulink platform the proposed system results are verified.
Traffic Operations and Capacity Analysis in India
Authors: Jagan Mohan Reddy Kandukuru , Srivastava Paritosh 
Published: October 2020

Abstract
This study highlights the concept of capacity analysis along with traffic operations in urban areas in India. First chapter indicates the introduction of this study through which research aims and objectives can be analysed properly. Moreover, research background and rationale of this study can be also highlighted in this chapter. The second chapter discusses the literature review due to which process of traffic operations and capacity analysis of vehicles can be analysed properly. Using model and theories of traffic flow can help in managing the complexities and issues in traffic management system in urban areas in India. The third chapter defines the research methodology through which tools and techniques regarding this research can be analysed successfully. Using philosophy, approach, design and data collection process, adequate information regarding traffic operations and capacity can be recognised properly.
Fusion Strategies for Multimodal Biometric System Using Face and Voice Cues
Authors: Byahatti Poornima , Shettar Madhura S. 
Published: October 2020

Abstract
Deployment of biometric systems in the applications of real world includes the most of unimodal biometric systems. Unimodal biometric system based on the information collected from single source. Sometimes single source of information may not identify the individual correctly because of some limitations such as Non-universality, Noisy data, Intra-class variation, Spoof attacks and Intra-class similarities. Various limitations of unimodal biometric systems are overridden by the multimodal biometric systems which involves multiple sources of information. Multimodal systems can be constructed by fusing of information of multiple modalities. This fusion can take place at various steps of processing such as at image acquisition, extraction of features of the traits, matching of test vectors with trained vectors and during decision taking based on classification. This paper presents a system of multimodal biometrics using face and voice biometric traits by including four fusion methods. Fusion takes place at i) feature level using concatenation of face and voice features, ii) score level using method involving the maximum of mode of scores obtained from two matchers, iii) rank level using borda count & iv) decision level fusion using logical conjunction (AND). Fusing of Log Gabor & Local Binary Pattern (LBP) takes place at the facial feature extraction. The voice features are also fused using Mel Frequency Ceptral coefficients (MFCCs) and Linear Predictive Coefficient features (LPC). Computation of similarity between test feature vectors and training vectors is carried out using Euclidian distance during matching process. KNN Classifier is used during decision making. Performance evaluation of these techniques are also carried out using performance measures such as Accuracy, False Acceptance Rate (FAR), False Rejection Rate (FRR) and ROC curves.
Universal Fast Marching Method to Identify Liver Image
Authors: Siri Sangeeta K , Pramod Kumar S , Gavisiddappa  
Published: October 2020

Abstract
Liver segmentation is of prime importance in modern liver disease diagnosis and analysis. In our paper, random section of liver image is chosen and its histogram is achieved. From histogram, liver pixel intensity range is obtained. Using the range value, threshold segmentation is carried out which detaches the liver from its adjoining organs. Median filter is employed to curtail the noise. The sigmoidal function is applied to improve anatomical structures of image. Then the image is converted into binary called as speed function. The novel algorithm is designed to locate the start points within speed function without user intervention. These start point evolved outwardly using Fast Marching Method till complete periphery of liver is reached. The proposed algorithm is compared with popularly used segmentation algorithms. The results show that proposed segmentation algorithm is robust in approach.
Machine Learning Techniques to Improve the Success Rate in In-Vitro Fertilization (IVF) Procedure
Authors: Sujata Patil N , Madiwalar S M , Aparanji V M 
Published: October 2020

AbstractIn Vitro Fertilization (IVF) usually assesses the embryo quality by visual morphological methods to transfer the potential embryo. But the success rate of IVF still remains low because of variations in selection process. The main objective is to improve the implantation rate by predicting the quality of embryos transferred from Day-2 to Day-3. Here using the Machine Learning techniques, thousands of the images trained together for the Day-2, the selection of embryos to come for the further assessment i.e. for Day-3. This will assist the doctors to check for the quality embryo without human intervention. We have also compared the results obtained by our Artificial Intelligence methods precision of >0.98 and also generalizes the method for potential embryo selection. Around 3000 plus embryo images are trained by CNN based Azure model and the results were validated using the Machine Learning techniques. Potentially viable embryo will help improve the implantation and success rate.
Study of Quasi-Static Compression Behaviour of Hollow Tubes Made of Glass/Epoxy Composite
Authors: Sampath H P , Srinivasa CV , Naik Veeresh 
Published: October 2020

Abstract
Composite materials have been used widely in various engineering fields. Composite materials possess low weight, corrosion resistance property, and specific strength, and due to these facts, composite materials are becoming popular among researches and scientists. Now a day, the glass fibers offer the potential to acts as a reinforcing material for composites alternative to the use of glass fiber, carbon fiber and other man-made fibers. In present work hallow tube composites of epoxy – glass fiber was prepared by hand lay-up technique. Mechanical characterizations of prepared hollow tube composites were carried out. Mechanical results were improved; we considered the hollow tubes of glass fiber and epoxy in different proportions such as 50% of glass fiber and 50% of epoxy, 60% of glass fiber and 40% of epoxy, 66% of glass fiber and 34% of epoxy. The maximum compression strength was obtained in the ratio of 50:50 that is 57.69N/mm2, the maximum load at the peak was obtained in the ratio of 60:40, that is 14.61kN and the maximum deformation at the peak was obtained in the ratio of 60:40 that is 8.03mm.
Comparative Study on Mechanical Properties of SiC/Gr &Al2O3/Gr reinforced AL6061 hybrid metal matrix composites
Authors: Vignesh P , Sureshkumar R , Arun A , Rethinavel S 
Published: October 2020

Abstract
Silicon carbide / Graphite and Alumina / Graphite reinforced AL6061 Hybrid metal matrix composites are fabricated by stir casting (liquid metallurgy) route. Four samples A,B,C,D with varying proportions in both matrix and reinforcements by fixing graphite proportion (5%) constant for all sampled are prepared. Mechanical properties of all the samples are compared with matrix material (AL6061). Scanning electron microscope is used to examine the microstructural characteristics of the composite samples. Mechanical test results exhibit 3.5% (sample C) increase in the hardness number than the base matrix. But, yield and ultimate tensile strength are reduced with all the reinforcements. Microstructural characterisation clearly depicts the presence of cracks, Agglomeration of reinforcements, cast defects on the surface of prepared composites which leads to poor yield and ultimate tensile strength.
Experimental Investigation of Mechanical Properties of Al6061 Reinforced with Iron oxide
Authors: Shivakumar S P , Sharan A S , Sadashivappa K 
Published: October 2020

Abstract
The present work aimed at investigating the mechanical properties of the aluminum matrix composites. The aluminum 6061 alloy as a matrix reinforced with the weight fraction 2, 4 and 6% of particles of iron oxide (Fe2O3) of size 40µmis prepared using the stir casting technique. The prepared specimens are tested as per the standards for tensile, bending, impact and hardness properties of the composite. From the results it is observed that the mechanical properties of the said composite have increased with the increment in the weight percentage of iron oxide up to 4% of reinforcement. The significant reaction between the reinforcement and the matrix forms the better bonding between them. The enhanced mechanical properties of the aluminum-iron oxide composites are due to the fine, well bonded and homogeneous distribution of the iron oxide particles in the aluminum matrix. The maximum improvements were observed at 4 wt% of Fe2O3.
Nonlinear Radiative Heat Transfer of Magnetite(Fe3O4)-Water Nanofluid over Unsteady Stretching Surface with Fluid Particle Suspension
Authors: Srikantha N , Krishnamurthy M R , Praveena M M , Onkarappa K S , Bharathi K , Pujar G H 
Published: October 2020

Abstract
The exploration of the magneto hydrodynamics(MHD) flow and nonlinear radiative heat transfer of magnetite Fe3O4 - H2O nanoparticle with fluid particle suspension over an unsteady stretching sheet is the central theme of the present work. The similarity transformations were employed to transfer the governing partial differential equations into ordinary ones prior to solve numerically using Runge - Kutta - Fehlberg-fourth and fifth order method with shooting technique. The variations of the temperature and velocity distribution and coefficients of heat transfer for magnetic parameter, temperature ratio parameter nanoparticle volume fraction, and thermal radiation parameter are discussed graphically. Comparative analysis of reported ones and present work results was presented and found to be in good agreement.
Performance features enhancements and trade off study of NOx emission of diesel engine by using ternary blends of karanja - cotton seed biodiesel -diesel.
Authors: Rajesh K , Ganesh D B 
Published: October 2020

Abstract
In this work, Karanja and cotton seed biodiesel were blended with the mineral diesel fuel. The effect of addition of the two biodiesels at different proportion were investigated for the performance and oxides of nitrogen emission of the diesel engine. All the blends exabits the higher break thermal efficiency than that of the diesel. Trade- off analysis was done with respect to efficiency, fuel consumption and oxides of nitrogen to reflect the emission pattern.