bluuebunny/crossref_metadata_2025_split huggingface dataset:
Experimental investigation on the critical heat flux of Cu-water, Al-water nanofluids for precise cooling of electronic systems
Authors: Catherine Joy R , Albert Rajan A , Brusly Solomon A , Ramachandran K , Pillai B C 
Published: November 2019

Abstract
In recent year’s huge development has taken place in the fields of integrated circuits technology and high speed processors. The performance of such electronic system is highly affected by heat generated during the operation. These heat generated on the electronic systems has to be dissipated in order to increase the performance and to avoid the damage due to high temperature resulting from heat generation. The increase in temperature may be reduced by the use of effective heat transfer devices such as heat pipes. The maximum heat transfer limits of the heat pipes are restricted by their heat flux limit. Critical heat flux (CHF) defines the maximum heat transfer limit. To meet the high demand of coolingin electronic industries, enhancement in critical heat flux limit of heat pipes as well as heat transfer surfaces are essential. Therefore in order to identify the ways to enhance the critical heat flux limit, series of experiment were conducted using two different types of nanofluids such as Cu-water and Al-water suspensions. For each nanofluids four different concentration were tested (0.0005wt%, 0.001wt%, 0.005wt%, 0.01wt %). There are two different type of wires were used to study the CHF. Ni-Cr wire with diameter of 0.19mm and 0.119mm, SS wire with the diameter of 0.08mm were used. The critical heat flux of Al-water and Cu-water Nanofluids is improved up to 124 % and 164 % respectively when compared with DI water.
Experimental investigation on the stabilization of soft clay using granulated blast furnace slag
Authors: Preetham H K , Nayak Sitaram , Surya E V 
Published: November 2019

Abstract
Soft clay is associated with a soft consistency and poor shear strength. High percentage fines lead to higher liquid limit and lower plasticity index. Low bearing capacity and excessive settlement lead to uneconomic engineering structure constructed over it. There is a serious need to mitigate this problem and hence soil stabilization is the need of the hour. In the present study, Granulated Blast Furnace Slag (GBFS) which is an industrial waste/by-product of steel industry is used as a stabilizer to improve the geotechnical property of the soft clay. Soft clay is replaced by granulated blast furnace slag in various percentages by weight (10%, 20%, 30%, 40% and 50%) and examined for its plasticity, compaction and strength properties of the mix. From the experimental investigation, it is shown that the plasticity index decreases and unconfined compressive strength (UCS) increases upon addition of slag to the soil. With the curing age, UCS value increased indicating the chemical reaction between free lime and soil. 40% slag replacing the soft clay is recommended as stabilizer as it gave the maximum increase in UCS value compared to the rest mix. Based on the laboratory work, it can be concluded that granulated blast furnace slag can be used as a potential stabilizer for soft clay and also largely solves the problem of disposal of slag.
Fabrication of Ag/AgCl electrode for detection of electric field in marine environment
Authors: Mohammed Shafeeq KK , Nair Shiny , Uma Dr. G. , Mukundan Dr. T. 
Published: November 2019

Abstract
Underwater Electric Potential (UEP) and Extra Low Frequency Electric field (ELFE) measurement is very important and essential for defence and civilian applications. UEP signature is produced by an underwater vessel by corrosion currents in the ship or submarine hull and also from propeller or other dissimilar metallic material in contact with the salt / sea water. The hull of the ship and the propulsion also produces a modulation of the corrosion currents, which is called the ELFE signature. The underwater electric field detection is very important to find the presence or proximity of alien, or enemy underwater targets and their positioning by non-acoustic methods, in the defence sector. The electric field in the marine environment is measured usually with sensor electrodes that are either carbon fibre or silver/silver chloride (Ag/AgCl) based. The typical sensor system uses six electrodes, mounted on three orthogonal axes. By measuring the potential the potential difference between each pair of electrode, the electric field magnitude and the direction of source can be determined.
In this study, Ag/AgCl electrodes have been fabricated by two different methods, thermal and thermal-electrolytic for the purpose of detection of marine electric field. Ag/AgCl electrodes, being reversible electrochemical electrodes, are ideal for measurement of marine electric field. Ag/AgCl electrodes have excellent electrochemical characteristics, such as very high ion exchange reaction current and lack of polarization at a low current density. The fabricated electrodes have been subjected to anodization by two different methods at constant potential and constant current, to increase the concentration of chloride ions for achieving fast equilibrium with chloride ions in sea water. The anodization process at constant potential is found comparatively more suitable in the study as it reduces the electrochemical noise associated with the electrode, the results of which are discussed. The electric field has been simulated in a tank and the characteristics of the fabricated electrodes are studied.
Investigation of utilization of Flyash in Self Compacting Concrete
Authors: Mukilan K , Chithambar Ganesh A , Azik Ahameed 
Published: November 2019

Abstract
The current study addresses the results of an excremental study carried out over the feasibility of utilization of flyash in the self compacting concrete with an effort to reduce the consumption of cement leading to reduced green house gas emission corresponding to the production of cement. Flyash was added on various dosages to the self compacting concrete along with the super plasticizer. Various ingredients were proportioned based on the Japanese method. The mix that passed the EFNARC guidelines were tested for the mechanical properties such as compressive strength, split tensile strength and flexural strength. Fair results have been obtained and this study unleashes a great potential for the utilization of flyash in self compacting concrete.
Effect of mineral admixtures on early age properties of high performance concrete
Authors: Poongodi K. , Murthi P. , Awoyera P. O. , Gobinath R. 
Published: November 2019

Abstract
In effect, the early age characteristics of concrete practically determines the performance of concrete during service. While several factors influence the fresh nature of concrete, water-binder (w/b) ratio and admixtures are particularly the most important. In this study, the effect of Nano-silica (NS) and fly ash on early strength characteristics of an M50 grade of high performance concrete was investigated. The contents of fly ash and Nano silica were used in varying proportions, from 28% to 32% and 1.0% to 2%, respectively, by weight of cement in the mix. Natural river sand was partially replaced by manufactured sand (M-sand) at 0%, 50% and 100% levels. Concrete mixture was achieved at 0.39 water/binder ratio. The workability and setting time of fresh concrete, by slump and penetration resistance tests, respectively, were determined as per ASTM C-403. The strength development at the early age was investigated and compared with that of the control concrete, based on tests on cube and cylinder specimens. Based on the obtained results, the early age strength of HPC containing NS was improved than the results obtained using the IS: 456-2000 code recommended models.
Numerical Investigation of Square Ring Shape Force Transducer
Authors: PratapSingh Ajay , Kumar Ghoshal Sanjoy , Kumar Harish , Kumar Rai Ajay 
Published: November 2019

Abstract
With growing industrial needs, there has been consistent thrust over the development of simple shaped force transducers. Some of the shapes designed may be analyzed through the analytical methods or conventional theorems. But, some of the newer shaped developed recently or proposed are not been able to analyzed through analytical methods, insist the application of modern computational tools like finite element analysis to be implied and applied in rationalized manner to have effective outcome regarding design analysis and other parameters. The present study attempts to discuss the procedure and outcome of finite element analysis for a square ring shaped force transducer for the material Al 7075 with a nominal capacity of 5 kN. The paper discusses details of the approach and salient outcome. The paper further cites the implications of the finite element analysis in design and development of the force transducer. The software ANSYS has been used to carry out the present study.
Sliding Mode Control of VTOL System
Authors: Jacob Jerry , Selva Kumar S 
Published: November 2019

Abstract
QUANSER QNET 2.0 Vertical Take Off and Landing (VTOL) system is a hardware device setup developed by National Instruments to study flight dynamics and vertical take-off and landing control. It has a DC Motor fan and adjustable counter weight. This is used exclusively for NI-ELVIS platform and LabVIEW software. The LabVIEW software is used to identify the model of the system by the method of best fit. The obtained second order model is tested for the open loop response using MATLAB SIMULINK. The various control methods like Proporional+Integral+Velocity (PIV) and Sliding Mode Control (SMC) are used to find the response of the system. It is found that the sliding mode controller provides better results compared to the PIV controller. Along with this, the actuator control is done using PI controller and it’s response along with the system is analyzed and compared for both PIV and Sliding Mode Controller.
Strain dependent hysteresis in XNBR-CNT nanocomposites
Authors: Manoj N R , Sasikumar K. , Jayesh P , Mukundan T. 
Published: November 2019

Abstract
Advanced nanocomposites are in the focus now owing to their prominently enhanced properties that can be designed even at low filler loading. The current literature has not much explored the application of nanocomposites for vibration damping applications – especially the impact of transient strain effects.This study focusses on the effect of incorporation of multiwall carbon nanotubes (MWNT) in carboxylated nitrile rubber (XNBR) and the effect of applied strain and volume fraction of MWNT on the damping properties, as studied in a universal testing machine in tensile and compression modes.In the compression mode, the percent damping decreases initially up to 0.5 vf of MWNT and then increases and remains constant. The percent damping varies from 16-35%. In the tensile mode, the damping increases continuously with increasing nanofiller content, with percent damping varying from 22-38%. The results indicate that the same nanocomposite behaves differently depending on the type and amount of strain, especially where the damping is important as in the case of vibration isolation and vibration damping applications.
Effectiveness of corrosion resistance of strontium and barium coated rebars – a preliminary comparative study
Authors: Ananthkumar M , Mini K M 
Published: November 2019

Abstract
Pigments produced using core shell methods are getting popular nowadays in corrosion resistance of reinforcement bars which are embedded inside the concrete. Present paper reports the comparison of corrosion resistance offered by pigments prepared using strontium and barium phosphate and coated over a reinforcement bar (rebar). Performance of nine rebars of diameter 12 mm coated using epoxy, strontium phosphate (SP) and barium phosphate (BP) in three different accelerated corrosion mediums such as 3.5 weight % NaCl solution, saturated calcium hydroxide Ca(OH)2 solution and 1 M hydrochloric acid (HCl) solution have been studied. Various tests such as elcometer analysis, open circuit potential measurement, half-cell potential measurement and EIS were conducted and the results were recorded. The results of these tests showed that the strontium phosphate shows a better corrosion resistance compared with barium and epoxy coating.
Biomass derived functional carbon from Sargassum Wightii seaweed for supercapacitors
Authors: Divya P. , Prithiba A. , Rajalakshmi R. 
Published: November 2019

AbstractIn this present work, microporous functional carbon is prepared by a single step pyrolysis method of driedSargassumWightiiseaweeds (SW) as crushed powder without activation and tested for supercapacitors. Although the complete study presented here on seaweeds ofSargassumWightii(SW), the synthesis technique is standard and relevant to most forms of dried biomass. The morphological studies were characterized by X-ray diffraction (XRD), Energy dispersive X-ray spectroscopy (EDS), Raman spectroscopy (RAMAN), field emission scanning microscopy (FE-SEM) and Fourier-transform infrared spectroscopy (FTIR). The behaviour of the functional carbon were performed by using cyclic voltammetry (CV), galvanostatic charge and discharge (CD) and Impedance analysis. In aqueous electrolyte (1M H2SO4), by using three-electrode system shows highest capacitance of 354 F/g. Furthermore, it was observed that the carbonized temperature has significant role in the electrochemical performance, as the carbonized sample at 700°C showed best activity compared to the samples carbonized at 800°C and 900°C without any external activation. The electrochemical act obviously shows that the carbon produced from dried SW seaweeds can be used as a favourable material for electrodes in the application of supercapacitors.
Optimisation of system parameters for the removal of Metformin in a photocatalytic reactor employing TiO2
Authors: Chinnaiyan Prakash , Thampi S G , Bharath Krishnaa AC , Sasi Malavika , Tejashwi L 
Published: November 2019

Abstract
There is strong evidence that presence of emerging contaminants in environment including pharmaceutical compounds at very dilute concentration have deteriorating effects on various species. In general the concentration of these pollutants detected in environment ranges between ng/L to μg/L, but their concentration is elevated (mg/L) in the point sources including pharmaceutical industrial effluent. In India, highest concentration of Ciproflaxin (31 mg/L) was reported in the effluent from a generic medicine production centre in Hyderabad. To improve the removal of these emerging contaminants, pre-treatment of the highly concentrated pharmaceutical wastewater can be done before it is let into a domestic waste water treatment plant. In this work, treatment of synthetic pharmaceutical industry effluent containing critical pharmaceutical contaminants (PC) Metformin employing a photocatalytic system was investigated. Chosen factors include concentrations of contaminants (50 – 100 mg/L), TiO2 dosage (500 – 1000 mg/L) and reaction time (10-30 min). MINITAB software was employed to perform the standard regression analysis and the corresponding second-order polynomial equation was constructed between the chosen response (contaminant removal) and the three factors.
Design and performance analysis of 6T SRAM cell on different CMOS technologies with stability characterization
Authors: Saun Shikha , Kumar Hemant 
Published: November 2019

Abstract
With the advent of portable devices, the demand for static random-access memory (SRAM) is increasing with large use of SRAM in System on Chip and high-performance VLSI circuits. SRAM optimization has become a focal point for research work, as 60% to 70% area of the chip is consumed by the memories. The performance parameters optimization can lead to the overall optimization of the performance of the chip. In this paper design and analysis of the 6T SRAM cell at different technologies using PTM (Predictive Technology Model) model has done with the aim of reducing power dissipation while maintaining stability. Then the performance of SRAM cell is compared on the basis of power dissipation i.e. dynamic power dissipation and static power dissipation, delay, Power Delay Product (PDP) and Static Noise Margin (SNM).SRAM cell read stability and write-stability are major concerns in nanometer CMOS technologies, due to the progressive increase in intra-die variability and Vdd scaling. Cell stability is also examined by the calculation of SNM with the help of the butterfly curve method at different CMOS technologies. Effect of variation of channel length on static power consumption, dynamic power consumption, delay, PDP and SNM is also measured. SNM variation is also observed with the variation of the supply voltage.
Experimental study on mechanical properties of modified concrete prepared with M-sand, Silica fume and Steel fiber
Authors: Yeshwanthi Roy S , Thiagarajan K , Umamaheswari N 
Published: November 2019

Abstract
This experimental study is aimed at finding the effect of reducing the usage of conventional materials for concrete. The mechanical properties of modified concrete prepared with manufactured sand (M-sand), silica fume and steel fiber are tested and compared with that of conventional concrete. For modified concrete, cement is replaced by silica fume, river sand by manufactured sand and steel fibers are also added. The objective of using M-sand is to reduce the usage of river sand as it is becoming uneconomical in the field of construction. The benefits of using silica fume is to increase the strength of concrete. Steel fibers are added to concrete to increase the tensile strength of concrete. The percentage replacement of river sand by M sand is 40%, cement by silica fume is 5% and hooked end fibers are added at 0.6% to concrete mix during concrete mix preparations. The optimum value of % replacement is decided with the results obtained and it can be concluded that the use of unconventional materials in production of concrete can be encouraged.
An IoT Solution for Cattle Health Monitoring
Authors: Suresh Akhila , Sarath T V 
Published: November 2019

Abstract
Animal husbandry is an increasingly popular business where cattle are nurtured for food and other products. The productivity of cattle farms is largely affected by the health conditions of the cattle. Cattle with a communicable disease can drastically bring down the productivity of the whole farm. So it is highly recommended to identify unhealthy cattle. In this context IoT can contribute a lot in terms of developing an autonomous system for health monitoring of cattle. A system is developed in this work consisting of data gathering, mobile nodes and IoT cloud platform. The data gathering node is provided with various sensors to sense the health parameters of the cattle and these data gets transmitted to the mobile node with the TDMA scheme in order to prevent data collision. The mobile node acts a gateway to the IoT cloud platform where data analytics on the sensor data is carried out to identify unhealthy cattle and the owner of the farm and the vet gets notified.
Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks
Authors: Prathiba M , Jose Deepa , Saranya R , Nandhinidevi  
Published: November 2019

Abstract
Automated melanoma recognition using image processing technique from the available dermoscopic images in deep learning is difficult task because of the contrast and variation of melanoma in skin. It is mainly a non-invasive method so that it cannot contact with skin more forcefully. To overcome these disadvantages this research work proposes a method using very deep convolutional neural networks (CNNs). For more accurate classification in this method we are using FCRN and CNN with the effective training limited data. Initially, Performance of Segmentation is done using residual networks using a image from the dataset followed by Classification by neural networks to check the abnormalities in skin. In this kind of classification technique the network has more specified features from the segmented portion alone. The proposed technique is mainly evaluated on datasets and experimental results that would show the performance in histogram and PSNR ratio.
Segregation of Plastic and Non-plastic Waste using Convolutional Neural Network
Authors: Tarun Kancharla , Sreelakshmi K , Peeyush K P 
Published: November 2019

Abstract
Due to industrialization and urbanization the rapid rise in the volumeand amount of hazardous waste and the disposal of it is becoming a burgeoning problem that the world is facing today. One of the best ways out for this problem is to collect, sort and reuse or recycle these waste. So this paper proposes an architecture which sorts waste materials into plastic and non-plastic using Convolutional Neural Networks (CNN). CNN is one among the efficient machine learning techniques, which is able to provide maximum learning efficiency. This technique requires less parameter for training compared to the standard neural network. A dataset of waste materials required for our setup is collected. They are trained and tested using CNN. The proposed architecture with CNN gives an accuracy of 0.978. The proposed design also consists of a prototype, which acts as a real-time classifier. This system reduces the human efforts in separating plastics from non-plastics.
Remote monitoring of BLDC motor using LabVIEW and zigbee
Authors: Vaishakh J K , Vanitha V 
Published: November 2019

Abstract
Brushless DC motors (BLDC) are preferred over brushed motors in industries because of many advantages such as increased reliability, reduced noise, higher speed range, better speed-torque characteristics, higher efficiency and high torque to weight ratio. This paper focuses on the remote monitoring of parameters of BLDC motor such as Temperature, Voltage, Current and Speed using Zigbee wireless technology and virtual instrumentation tool, LabVIEW. The results shown during the tests are accurate and the low-cost system is able to efficiently transmit the parameters remotely using ZigBee and display them on the LabVIEW front panel. The system can be of great importance in industries as it is not possible to manually access the motors functioning in hazardous environment. This system can also be used for predictive maintenance where the parameters monitored can be used to study the lifetime of the motor. The hardware requirements of the system are Arduino Microcontroller, two Zigbee (one as coordinator and other as end device), BLDC motor, an optical encoder for determining the speed of the motor, LM35 Temperature sensor for measuring the temperature, Current transducer, ACS712, for measuring the input current and Voltage transformer for stepping down the voltage before giving the input to Arduino to measure the voltage.