bluuebunny/crossref_metadata_2025 huggingface dataset:
Performance of the Self-Referencing Model on the Determination of Viscosity versus Pressure and Temperature of Various Hydrocarbons and Their Mixtures
Authors:   University Mohammed V Rabat, Morocco. Materials, Energy, Acoustics Team (Meat)., Et-Tahir* Aziz , Malzi Mohamed Jaouad ,   University Mohammed V in Rabat, Morocco. Meat., Boned Christian ,   University of Pau France, Laboratory of Complex Fluids and Their reservoirs (LFCR)., Kettani Kamal ,   University Mohammed V in Rabat, Morocco. MEAT., Bybi Abdelmajid ,   University Mohammed V in Rabat, Morocco. MEAT.
Published: January 2020

The predictive model of the viscosimetric behavior studied in this article is the self-referencing model developed in our laboratory by KANTI et al. The dominant idea of this method is to characterize the dynamic viscosity (P,T) of a fluid just knowing its viscosity at P0=0.1MPa and at a reference temperature T0 (generally ambient temperature). For this purpose, we used the database developed by us (more than 15000 experimental couples P, T of 56 references) from which we extracted 4304 viscosity values (P,T) corresponding to 1866 experimental values of pure substances and 2213 of mixtures with 216 values of petroleum cuts Our study shows that the absolute average deviation respectively for pressures ≤ 1000 bars and ≤ 5055 bars (7.3% and 10.5%) obtained for pure substances (≥6 carbons) and (6.8 and 7.5%) for mixtures is satisfactory. Moreover when coupled with mixing rules (GRUMBERG-NISSAN and KENDALL-MONROE equations) without adjustable parameters it was able to account satisfactory for the variation of the viscosity (P,T,x) of the mixtures on the simple knowledge of the viscosity of the components of the mixture considered, at reference temperature T0 and at 0.1MPa. For all the mixtures studies an absolute average deviation respectively for pressures ≤1000 bar and ≤5055 bars of 8.6% and 9.8 without binary C1+C10 and 12.5% and 13% with binary C1+C10 was observed. It should also be noted that the self-referencing method seems to be particularly interesting for the restitution of the viscosities of systems containing heavy hydrocarbons in the liquid state and finds its limits for substances on gaseous state or light hydrocarbons (<6 carbons). The method depends also on the quality of the adjustment of the coefficients. If we consider that the coefficients were initially adjusted to moderately heavy substances, it might be interesting to resume the calibration procedure by including lighter substances.
Map Reduce Clustering in Incremental Big Data Processing
Authors:   Research Scholar, Noida International University, Gr. Noida, India., Khan* Mudassir , Malviya Aadarsh ,   Assistant Prof, Noida International University, Gr. Noida, India., Alam Mahtab ,   Associate Prof, Noida International University, Gr. Noida, India.
Published: January 2020

An advanced Incremental processing technique is planned for data examination in knowledge to have the clustering results inform. Data is continuously arriving by different data generating factors like social network, online shopping, sensors, e-commerce etc. [1]. On account of this Big Data the consequences of data mining applications getting stale and neglected after some time. Cloud knowledge applications regularly perform iterative calculations (e.g., PageRank) on continuously converting datasets. Though going before trainings grow Map-Reduce aimed at productive iterative calculations, it's miles also pricey to carry out a whole new big-ruler Map-Reduce iterative task near well-timed quarter new adjustments to fundamental records sets. Our usage of MapReduce keeps running [4] scheduled a big cluster of product technologies and is incredibly walkable: an ordinary Map-Reduce computation procedure several terabytes of records arranged heaps of technologies. Processor operator locates the machine clean to apply: masses of MapReduce applications, we look at that during many instances, The differences result separate a totally little part of the data set, and the recently iteratively merged nation is very near the recently met state. I2MapReduce clustering adventures this commentary to keep re-calculated by way of beginning after the before affected national [2], and by using acting incremental up-dates on the converging information. The approach facilitates in enhancing the process successively period and decreases the jogging period of stimulating the consequences of big data.
Medical Image Compression using Neural Network with HGAPSO Optimization
Authors:   Department of Electronics and Communication, GSSS Institute of Engineering and Technology for Women, Affiliated to Visvesvaraya Technological University, Mysuru, India., H.K.* Ravikiran , J Dr. Jayanth ,   Department of Electronics and Communication, GSSS Institute of Engineering and Technology for Women, Affiliated to Visvesvaraya Technological University, Mysuru, India.
Published: January 2020

Lossy medical image compression has become increasingly attractive due to a drastic increase in the number of images used for diagnosis and treatment. The work focused on developing a feed-forward neural network for compression of medical images with optimization of weights using hybrid genetic and particle swarm (HGAPSO) optimization technique. The neural network can achieve a better compressed & decompressed image only with the proper training and optimized weights. Training algorithms such as back-propagation algorithm (BPA) traps to local minima rather than the global one which degrades the quality of a reconstructed image. In this work, HGAPSO optimization is adopted to overcome the drawback of BPA. HGAPSO parameters are carefully chosen to have better exploitation & exploration in the search area, which avoids the algorithm from trapping to the local minima. High-quality results of Genetic Algorithm (GA) obtained using selection, crossover and mutation can provide quality guidance for PSO which improves the results of the proposed system. The performance of the proposed work is evaluated on a raw medical image database based on PSNR, MSE, and CR. The experiment is simulated for 16-4-16 neural network architecture and a compression ratio of 75 % is achieved. The results obtained indicated that with proper training PSNR could be improved by 1.98 %.
Autonomous Led Street Lights Based On Hybrid Renewable Sources
Authors:   Electrical and Electronics Engineering, Kongu Engineering College, Perundurai, Erode, India., Surendar* V. , Logeswaran T. ,   Electrical and Electronics Engineering, Kongu Engineering College, Perundurai, Erode, India., Gowrishankar P. ,   Electrical and Electronics Engineering, Kongu Engineering College, Perundurai, Erode, India., Suresh M. ,   Electrical and Electronics Engineering, Kongu Engineering College, Perundurai, Erode, India., Ramya M.V. ,   Electrical and Electronics Engineering, Tamilnadu College of Engineering , Coimbatore, India.
Published: January 2020

In this artical, the arrangement of solar photovoltaic (PV)/Wind energy system is used for power generation. During day time, solar radiation falls on the panel, and then the power can be produced. During night time, due to the Emission of photons from the vehicle headlight, the power is produced from the solar PV panel. The Wind Turbine is used to generate electricity from the rotation of the wind blade due to the movement of vehicles by Vertical Axis model. The output of the solar and wind system fed into Buck-Boost converter to high voltage level. The simple P&O control method is used to pathway the operating point of the system at which highest power can be obtained. The Power obtained from different sources is connected to the dc bus in parallel connection. Here the energy required for the load to be taken from the dc bus and excess power will be stored in a battery and also insufficient power, the battery will discharge the power to load. The model of a structure is developed in MATLAB- SIMULINK.
Response Reduction Factor For Different Heights of RC Structure
Authors:   M-Tech Scholar, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, India., Veda* A V Sai , Kumar G. Sateesh ,   Associate Professor, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, India., Manchalwar Atulkumar ,   Associate Professor, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, India.
Published: January 2020

Seismic analysis is considered as an important parameter for any structural design. The strength and ductility of frame members in seismic design depends on the response reduction factor. In this paper four symmetrically framed structures are considered of different heights under the critical zone condition. The primary emphases of this work is regarding calculation of response reduction factor values attained from designing RC framed structures. The results are computed by applying non-linear static pushover analysis. SAP-2000 software is used for analyzing the non-linear behaviour of the structure.
Defect Detection in Printed Board Circuit using Image Processing
Authors:   Department of Computer Science and Engineering, Annamalai University, Chidambaram, India., Munisankar* N. , Nagarajan Dr. S. ,   Department of Computer Science and Engineering, Government college of engineering, Trichy, India., Rao B. Narendra Kumar ,   Department of Computer Science and Engineering, Sree Vidyanekethan Engineering college, Autonomous, Tirupati, India.
Published: January 2020

A printed circuit board without connecting with any components called as a bare PCB. Consider a PCB as a basic part which has been settled with more electronic units. In order to display the manufacturing process, the drawbacks have been taken by PCB individually. The reflection of this separation process impacts the performance of the circuits. Also, we have examined about classification methodologies as well as referential based PCB detection. From the input images, the needed and related information has been pulled out using image processing methodologies by the referential based PCB detection. Comparing with the un-defected PCB images, this was used to find out the defects. To meet the goal of the PCB defect detection, several feature extraction and pre-processing methods are derived in this article. The PCB defects have been classified by those features using the machine learning algorithms. Moreover, several types of machine learning algorithms are derived in this article. This paper helps the researchers for achieving a better solution for image processing and machine learning-based printed circuit board the defect classification.
Developing Entrepreneurial Ecosystem in Professional Educational Institutions through Reinforcement of Accreditation Framework
Authors:   Associate Professor, Dr. Ambedkar Institute of Management, Nagpur,( Maharashtra) India., Siddiqui* Mujahid J. , Siddiqui Aaliyah ,   Assistant Professor, Symbiosis Centre for Management Studies, Nagpur,( Maharashtra) India.
Published: January 2020

This study identifies the underlying dimensions which promote entrepreneurial environment in the professional institutions. We analyze the present status of the entrepreneurship as included in the accreditation processes by two accrediting bodies in India i.e. National Board of Accreditation (NBA) and National Assessment and Accreditation Council (NAAC). We devise a model to expand the presence of entrepreneurship aspect into the assessment criterion pertaining to entrepreneurship within these frameworks of accreditation. The study used two scales for obtaining data from the professional institutions. While one scale for measuring the entrepreneurial intentions was adopted a new scale for measuring the ‘support to entrepreneurship by institutions, was developed. Exploratory factor analysis performed on the data identified the seven dimensions, which create a positive impact on the entrepreneurial ecosystem in the professional institutions. Bivariate Correlation analysis is performed and results reveal a significant relationship between entrepreneurial intentions of the students and the supporting entrepreneurial activities by educational institutions. The present study conducted in December 2018, evaluated the Entrepreneurial intensions of the students enrolled in the professional programs and their linkage with the support to entrepreneurial activities by the educational institutions. The study has identified five main factors namely, training, guidance and counseling, Infrastructural support, networking opportunities and incubation and mentoring and two weakly supported factors – participation in entrepreneurship events and patent licensing and technology support. These factors can collectively help promote entrepreneurship in the professional institutions. The seven dimensions were proposed to be included in the accreditation process as the present accreditation framework in India was found to be adversely skewed towards entrepreneurship. The paper attempts to begin a debate on how accreditation can drive the national education agenda rather than merely play the role of quality assessor which igonores the vital aspects of entrepreneurship
Design and Analysis of UAV for High Payload
Authors:   Department of Aeronautical Engineering, MLR Institute of Technology, Hyderabad, India, Ganesh* M , Mishra Nirmith Kumar ,   Department of Aeronautical Engineering, MLR Institute of Technology, Hyderabad, India., Kumar A. Sai ,   Department of Aeronautical Engineering, MLR Institute of Technology, Hyderabad, India., Vikas V ,   Department of Aeronautical Engineering, MLR Institute of Technology, Hyderabad, India,, Krishna K. Keerthi ,   Department of Aeronautical Engineering, MLR Institute of Technology, Hyderabad, India.
Published: January 2020

This project presents design process for a medium range unmanned aircraft. The objective is to design an aircraft which carries high payload with restricted wing span. The project deals with study of various innovative techniques to improve the aerodynamic performance of the aircraft. It emphasizes on usage of box wing technology after considering various aspect of design and fabrication. The design process involved is a conventional design cycle with initial sizing and trade studies followed by analysis for the validation of the design. The study of the downwash and effect of the stagger angle due to two wings on their aerodynamic performance was also carried out. Flow analysis for the required conditions of cruise is performed and had shown that the lift is sufficient and drag is slightly high. For the applied loads the structure designed has stresses within the limits of the structural integrity. The propulsive force required was comparatively high when compared to single wing of same area.
Design and Monitoring of 1kva Distribution Transformer
Authors:   Assistant Professor (Senior Grade), Dept. of EEE, Sri Ramakrishna Engineering College, Coimbatore, Tamil Nadu, India, Chandran* Praveenkumar , E Pradeep ,   Engineer, Altran Technologies India Pvt. Ltd., Coimbatore, Tamil Nadu, India, M Srivathsa ,   Engineer, Altran Technologies India Pvt. Ltd., Coimbatore, Tamil Nadu, India, M.P.V Venkatasalam ,   Data Analyst, Whildata, Chennai, Tamil Nadu, India, R Vivek ,   Engineer, Altran Technologies India Pvt. Ltd., Coimbatore, Tamil Nadu, India
Published: January 2020

Transformers are vital part of transmission and distribution system. Generally, the lifetime of the transformer varies from 40 to 50 years. Regular monitoring and maintenance must be done to increase its lifetime. The existing monitoring system can acquire, process, analyse and communicate the critical parameters viz. voltage, current, frequency, temperature, oil level, etc. and sends the values to a central hub and indicates the fault to the concerned person. These parameters are required by the operators to ensure reliable power delivery and to assist the day-to-day decision-making activities. A single phase, 1 KVA, 50 Hz, 230/115 V, oil-immersed distribution transformer is designed, and the above-mentioned parameters are monitored and displayed in mobile phones/personal computers. The values from the monitoring system is displayed in website or mobile application using cloud services. With the data available, various processes can be performed to obtain information. The proposed system can be installed in any available transformers with little modification in sensors. When a severe fault occurs secondary circuit-breaker is tripped thereby isolating the transformer and an official is alerted using a text message.
A Robust System for Detection of Artifacts from EEG Brain Recordings
Authors:   Research Scholar, Dept. of CSE, University College of Engineering, Acharya Nagarjuna University,Guntur, Andhra Pradesh, India., Kumar* Janga Vijay , Reddy Prof E Srinivasa ,   Professor & Dean, Dept. of CSE, University College of Engineering, Acharya Nagarjuna University,Guntur, Andhra Pradesh, India.
Published: January 2020

Epilepsy is a chronic disorder and has the propensity of two or more brain. Analysis of EEG is the primary method for the diagnosis of epilepsy. Contamination of eye movement and blink artifacts presence in EEG data becomes more complicated to the doctors during the diagnosis period. Earlier detection of these artifacts gives a significant advantage of refining the Epilepsy identification process. In this regard, a robust subspace detection method is applied to detect the target signal in noise with possible interference-artifacts, then a dimensionality reduction model, with the combination of fast Independent and Robust Principal Component Analysis (FICA and rPCA) is implemented for identification of artifacts from EEG brain recordings. To perform this the proposed detection method uses synthetic data and artifact contaminated data. The extracted target subspace signal is considered as the input for rPCA and FICA. The ROC analysis is developed as a standard methodology to quantify the detectors' ability to correctly distinguish the target of interest (artifacts) from the background noise in the system.
Ensemble based Machine Learning using Ontology Information Extraction for Information Retrieval
Authors:   Research Scholar (CSE), Mewar University, Gangarar, Rajasthan, India., Shah* Ritesh Kumar , Guide Prof (Dr.) Sarvottam Dixit Research ,   Mewar University, Gangarar, Rajasthan, India.
Published: January 2020

The movement of internet technology enhanced the speed and accuracy of data retrieval over the internet. The retrieval of data over the internet needs some automatic process of information extraction and query retrieval. The information extraction gives the process of the predefined structure of the concept to a particular domain of knowledge. The process of information extraction proceeds in two steps one is pre-processing of data and post-processing of data. In preprocessing of data used the concept of the glowworm optimization algorithm. The glowworm algorithm is a family of kits a gives the better selection of information in constraints of similarity. The selection of similarity based on the process of lubrification. The optimization of glowworm removed the unwanted noise of data and filtered it. For the extraction of information used ensemble-based information extraction. The ensemble-based information extraction proceeds with constraints function that function is called mapper constraints. The mapper constraints map the process of ontology with guided domain ontology. The ensemble-based information extraction process used the concept of machine learning for the binding of process. The goals of this work are the development of an OBIE for the domain of different fields of data retrieval such as news agencies, hotel industries and sports. The proposed model combines with the use of ontology, POS and language processing tools and constraints-based mapper with domain ontology.
Experimental Research on the Application of Natural Filters for Eco- Friendly Cleaning and Enrichment of Producer Gas
Authors:   Assistant Professor, Department of Mechanical Engineering, Narayanaguru College of Engineering, Manjalumoodu, Tamilnadu, India., Krishnan M.P.* Mr. Dhanu , Anand M Dr. Dev ,   Director Research/Professor, Department of Mechanical Engineering, Noorul Islam Centre for Higher Education, Noorul Islam University, Kumaracoil, Tamilnadu, India., J.P. Mr. Prakash ,   HOD/ Assistant Professor, Department of Mechanical Engineering, Narayanaguru College of Engineering, Manjalumoodu, Tamil Nadu, India., J.P Mr. Pratheesh ,   Assistant Professor, Department of Mechanical Engineering, Narayanaguru College of Engineering, Manjalumoodu, Tamil Nadu, India., S.. Mr. Shajin ,   Assistant Professor, Department of Mechanical Engineering, Narayanaguru College of Engineering, Manjalumoodu, Tamil Nadu, India.
Published: January 2020

The practice of burning fossil fuels like petroleum, coal and natural gas will release large amount of carbon dioxide into the atmosphere. The outcome of this carbon dioxide release into our atmosphere will cause global warming. It is vital to develop alternate renewable fuel sources that are sustainable, economical and eco-friendly friendly. Biomass based fuels is gaining attractiveness as a substitute to fossil fuels. The gasification of biomass will generate producer gas. This gas blend can be used as fuel in IC engines, turbines and fuel cells for power generation. Raw producer gas that comes from a gasifier contains impurities like tar and dust particles. Eventually these impurities will reduce the quality of the producer gas and it cannot be used in engines directly. With the help of the natural fibres as filter material, enriched producer gas can be obtained. Therefore a filter box is developed and wood shaves were used as a bio- fibre material to enrich the producer gas. Finally, the producer gas enrichment was done using the wood shaves as filter material.
Reinforced Concrete Beam with Light Weight blocks and Steel Fibre added below Neutral Axis
Authors:   Department of Civil Engineering, Aarupadai Veedu Institute of Technology, Paiyanoor, India., Raj* Dr.P.S.Aravind , Frieda F. S. ,   Department of Civil Engineering, KCG College of Technology, Karapakkam, Chennai-97, India., Sangeetha Dr.S.P. ,   Department of Civil Engineering, Aarupadai Veedu Institute of Technology, Paiyanoor, India., Divahar Dr.R. ,   Department of Civil Engineering, Aarupadai Veedu Institute of Technology, Paiyanoor, India.
Published: January 2020

The reinforced concrete is one of the widely used structural materials which have its own major advantages and disadvantages. Its behaviour when provided in various positions in the structural elements like compression, tension, and shear zones has significant impact. Since the concrete is excellent in the compression behaviour, and only a nominal performer in the tension behaviour, steel reinforcement are provided in required zones where tension occurs. Thus in a bending member, below the neutral axis, that is at the tension zone, the concrete acts only as a interface medium between reinforcement that carrying the tension and the concrete above neutral axis carrying compression forces. This concrete is also called as sacrificial concrete. Thus in order to efficiently use the concrete falls under the tension zone, the concrete can be swapped with any suitable lighter or cheaper material or the concrete may be strengthened to carry tensile stresses. In this present study, the concrete below neutral axis is replaced with lightweight ‘aerocon’ block cubes of 8 cu.cm and 64 cu.cm by 20% of volume of concrete and in another specimen, steel fibres are added in the concrete that are below neutral axis by 2% and 3% by weight to improve the local tensile strength of concrete as material The results obtained shows that the aerocon cubes replaced specimens has equivalent performance of the control specimen and the steel fibre added specimen had superior deflection and crack performance than the control specimen.
Enhancement and Usage of Different Sorts of Efficient Parallel Prefix Adders
Authors:   Assistant Professor, Dept. of Ece, Srinivasa Ramanujan Institute of Technology, Anantapur, Ap, India, Saifuddin* Karur. , Reddy D Sreekanth ,   Assistant Professor, Dept. of Ece, Srinivasa Ramanujan Institute of Technology, Anantapur, Ap, India, Krishnan Sumitha Hari ,   Assistant Professor, Dept. of Ece, Srinivasa Ramanujan Institute of Technology, Anantapur, Ap, India
Published: January 2020

Portray Mighty exploit adders (aside unfamiliar pretence as invite apparatus or against introduce adders) are track to crack the stroke in VLSI designs. In provincial case, this ordinance statement does howl decrypt right away into FPGA implementations befitting to chains on assertion arena configurations and routing overhead. This version preparation investigates span forms of Stand-machinery adders (Spanning tree adder and Brent-kung adder, the Kogge-Stone) and associates them to the uncomplicated a Carry Skip Adder (CSA) Ripple Carry Adder(RCA). The deception parameters steady for the comparative division of the presented adders are: the amid of logic gates, crawl run in plagiarized at the drop of a hat clog modeling in Xilinx curtailment. As a expectation, this instant affectation of alternate adders, Kogge-Stone adder and ready-made PPA effort akin to crisis slow.
Economic Analysis on Design of a Simple Hydraulic Reaction Type Turbine for Low-Head Low-Flow Pico Hydro
Authors:   Faculty of Electrical and Electronic Engineering Technology, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia., Basar* Mohd Farriz , Rais Nurul Ashikin Bt Mohd ,   Faculty of Electrical and Electronic Engineering Technology, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia., Hassan Fatin Syakira Bt Mohd ,   Faculty of Electrical and Electronic Engineering Technology, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia., Ibrahim Khairul Anwar B ,   Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia., Sopian Kamaruzzaman B ,   Solar Energy Research Institute, Universiti Kebangsaan Malaysia, Bangi Malaysia.
Published: January 2020

The purpose of this paper is to establish a techno-economic analysis on the design of a new Z-Blade turbine focusing on problems of costing and manufacturing process which focus on a low-head and low-flow pico hydro. Pico hydro generation system with a capacity less than 5kw has been gaining increasing attention as preferred methods of clean power generation. Accordingly, the design and operating procedures as well as economic analysis for a Z-Blade reaction type turbine are described in detail. Furthermore, the constructive analysis of the literature on the simple reaction type water turbine are discuss through quantitative summarization, classification, costing and comparison. In this paper also, will re-evaluated the manufacturing process of the SRT and CPT based on techno-economic analysis and the disadvantages of both turbines are identified. Meanwhile, the additional features of Z-Blade will be investigated under low-head low-flow water resources with simple geometrical design and low fabrication cost. Ideally, this hydro generation system is inexpensive and has a simple fabrication method with costing estimation at only USD76, which comprises 7.6% of total cost of hydro-electric installation and capable of producing mechanical power up to 115W under low-head and low-flow water resources.
An Enhanced Low Power Dual Data Injection Technique for Coarse - Grained Reconfigurable Architecture
Authors:   Assistant Professor(Sr.Gr), Department of ECE, Sri Ramakrishna Institute of Technology, Coimbatore, India, Munaf* Mr. S. , Bharathi Dr. A. ,   Professor, Department of Information Technology, Bannari Amman Institute of Technology, Sathyamangalam, India, Jayanthi Dr. A.N. ,   Associate Professor, Department of ECE, Sri Ramakrishna Institute of Technology, Coimbatore, India
Published: January 2020

oarse-gr ained reconfigurable architectures (CGRA) having a well-organized, more efficient configurable array of processing unit and high speed cache unit. The processing unit performs required arithmetic and logic operations. Now a day’s video processing applications power consumption plays an important role. We propose Double Data Rate Synchronous Memory architecture can address and reduce the power consumption caused by reconfiguration. An input data bits are injecting on the data bus in the interval of low to high and high low clock period. All modules have been designed and implemented in vertex using behavioral level with VHDL coding and to Simulate in Xilinx ISE navigator.
Optimizing Sensor Relationship for Fusion of Multispectral and Panchromatic Imagery
Authors:   Research Scholar, Engineering & Technology, Sant Gadge Baba Amravati University, Amravati, Maharashtra State, India., Pandit* Vaibhav R. , Bhiwani Dr. R. J. ,   Professor, Dept. of Electronics & Telecomm. Engg., Babasaheb Naik College of Engineering, Pusad, Maharashtra State, India.
Published: January 2020

The remote sensing satellite products: multispectral and panchromatic imagery are characterized by different levels of spatio-spectral resolutions. The fusion of these two images (provided, they are acquired for same geographic scenario) is also known as ‘Pansharpening’. This produces a composite image featuring simultaneous high levels of spatio-spectral resolutions to meet the demand of the most of remote sensing applications. Thus, different approaches for such fusion and further its quality assessment are continuously researched. The modulation transfer function is unique to the imaging sensors. In this paper, the sensor relationship of the input imagery is optimized to produce the efficient pansharpened/fused image. The performance measurement is carried out on two real datasets made available by WorldView-2 and WorldView-3 satellite sensors using two assessment techniques. The results of optimization approach are further compared to nine different most recent fusion algorithms.
Congestion Alleviation by Optimal Placing of Renewable Energy Generator in Power System Network using Stochastic Optimization Techniques
Authors:   Innovate Educational Institute, Tambaram, Chennai., Ramaporselvi* R. , Geetha Dr. G. ,   Jerusalem College of Engineering, Pallikaranai, Chennai., Deshpande Dr. Mrunal ,   SSN College of Engineering, Chennai., Saranyaa J.Shri ,   Research Assistant) SSN College of Engineering, Chennai.
Published: January 2020

This paper peculiarly narrates about the optimal location of the renewable electrical generator along with minimizing the cost of generation. The aim of optimal congestion management is achieved by the suitable placement of the renewable electrical generator through PSO and VEPSO optimization technique. The renewable energy source boasts to be a vital and cost-free source for generating energy in the deregulated electricity network. Renewable energy generator (REG) location is identified on the minimum losses of the system thereby reducing the cost of generation. The approach is simulated and the results demonstrate the optimal location of REG and cost of generation in the 6 bus test system, IEEE- 14-bus and IEEE- 30 bus system.
Arduino Due Implementation of an Algorithm for Blind Source Separation using Matlab Simulink
Authors:   Laboratory of Electrical Engineering and Energy Systems (LEEES), FSK, Ibn Tofail University, Kenitra, Morocco., Mekhfioui* M. , Elgouri R. ,   Laboratory of Electrical Engineering and Telecommunications Systems (LEETS), ENSA Ibn Tofail University, Kenitra, Morocco., Satif A. ,   Laboratory of Electrical Engineering and Telecommunications Systems (LEETS), ENSA Ibn Tofail University, Kenitra, Morocco., Hlou L. ,   Laboratory of Electrical Engineering and Energy Systems (LEEES), FSK, Ibn Tofail University, Kenitra, Morocco.
Published: January 2020

This work describes the implementation of an algorithm of the blind source separation in the Adruino Due card as free and low cost material. The algorithm must be developed to adapt the inputs and outputs of the Arduino board to the actual installation. Using reference signals generated by two generators (GBF), this work has proved that the algorithm Second Order Blind Identification (SOBI) is the most efficient to analyze our signal database, so the separation is performed on the Arduino Due using the SOBI algorithm to validate its performance in real time.
Predictive Model for Optimum Fruit Maturity Grading
Authors:   Computer Applications Department, Dr .M.G.R Educational & Research Institute, Maduravoyal, Chennai, 600095, India, Gururaj* Nirmala , Vinod Viji ,   Computer Applications Department, Dr .M.G.R Educational & Research Institute, Maduravoyal, Chennai, 600095, India.
Published: January 2020

Metabolic changes to the climacteric fruits like Mango during the post-harvest lifecycle has significant impact on the marketability of the fruit. One such change is in the structure of the cuticle layer on the surface of the mango and its composition changes as the fruit matures and expands. By looking at the structure of the cuticle the right maturity stage of the fruit can be determined which can decrease storage costs and increase market outcomes. The objective of this paper is to classify the mango fruit according to its maturity stage by looking at the cuticle structure of the mango fruit images as seen using light microscope under magnification. The data set consists of structural microscopic images of 2 varieties of mango viz. Banganapalli and Kili Mooku/Banglora and the classification is done using Convolutional Neural network (CNN) based on deep learning techniques. The combined results of both varieties yield a classification accuracy of 83% for all maturity stages. With this neural network model one can identify the ripening stage of the mango in a non-destructive manner that can greatly improve the mango harvesting strategies.
Multi Input and Multi Output Zeta Converter for Hybrid Renewable Energy Storage systems
Authors:   Department of EEEE, St.Joseph College of Engineering, Chennai, India., Karthikeyan* A.G. , Premkumar K. ,   Department of EEEE, St.Joseph College of Engineering, Chennai, India., Suresh P. ,   Department of EEEE, St.Joseph College of Engineering, Chennai, India., Ramya G. ,   Department of EEE, SRMIST,Ramapuram Campus Chennai, India., Antony A.Johnson ,   Department of EEEE, St.Joseph College of Engineering, Chennai, India.
Published: January 2020

In this paper, multi input multi output (MIMO) Zeta converter is proposed for hybrid renewable energy applications. The Traditional MIMO is modified with Zeta converter for its Continuous output current, high voltage Gain, Buck boost capability & performing higher switching frequencies. Here there are five ports among them three input ports and two output ports. The Inputs are PV, Battery & Super capacitor. The converter is controlled by sliding mode controller (SCM) and it has fast system response and it controls peak overshoot. This converter boosts the PV panel, battery and fuel dc voltage to regulated output dc voltage without any losses. This topology provides a positive output voltage. Modes of operation for multi port zeta converter are explained. To test the effectiveness of the proposed topology, simulation model is developed using MTALB and suitability of the proposed model is tested using experimentation.
Green Parking Lots for Energy plus Human Settlements
Authors:   Amity School of Architecture and Planning, Amity University, Jaipur, Rajasthan, India., Verma* Ar. Chetan , Singh Prof. (Dr.) Jitendra ,   Amity School of Architecture & Planning, Amity University, Jaipur, Rajasthan, India., Ranjan Prof. (Dr.) Alok ,   Department of Architecture, Malviya National Institute of Technology, Jaipur, Rajasthan. India.
Published: January 2020

Energy is the basic need for any development programme. Growing energy demands are putting the non renewable energy sources at risk of extinction. One of the major energy consuming sector is automobiles, traffic in urban settlements. Now a days battery operated vehicles are on road for public and private transportation which are an alternative to conventional fuel vehicle systems of petrol, diesel, gas oil. But the issue of fuel or we can say charging the battery operated vehicles remains constant and a challenge for urban transportation systems. This paper is focused to design approach of such parking lots and road side parking slots which are not only space for vehicle parking but also charges the vehicle while it is parked. This kind of refueling system will use the idle time of the vehicle and will reduce the requirement of refueling stations. Such system will save the time of the car owner for waiting at refueling or charging station. The methodology of this approach consists of using the renewable sources of energy such as solar, wind energy and distributed energy generation systems so that such systems can be used in designing energy plus human settlements. The distributed energy generation system will reduce the need of major electric substations to handle the generated electricity
Methodology of Optimal Resource Use in the Conditions of Market Relations Transformation
Authors:   Krasnoyarsk State Agrarian University, Achinsk branch, Achinsk, Russian Federation, Ziuzya* Evgenia V. , Voronkova Olga Yu. ,   Altai state University, Barnaul, Russian Federation, Tsareva Lyudmila M. ,   Financial University under the Government of the Russian Federation, Moscow, Russian Federation, Fomin Oleg S. ,   Kursk State Agricultural Academy, Kursk, Russian Federation, Kuts Vasily I. ,   Altai state technical university, Barnaul, Russian Federation, Berezhnov Gennadiy V. ,   Astrakhan State University, Astrakhan, Russian Federation
Published: January 2020

In the conditions of market relations transformation, it is important to develop a methodology of optimal resource use for the organizations of the agricultural sector of the economy, as well as for other industries. The urgent need for this is explained by the fact that modern organizations and enterprises are in the conditions of optimizing resource use to maintain economic stability and ensure the growth of profitability (works, services). In this connection, the article considers the main directions of optimizing the resource use on the example of organizations of meat production sub-complex.
Advanced Data Imputation Techniques for Predicting Type 2 Diabetes using Machine Learning
Authors:   School of Computer and Information Sciences, Indira Gandhi National Open University, New Delhi, India., Goel* Sofia , Sharma Dr. Sudhansh ,   School of Computer and Information Sciences, Indira Gandhi National Open University, New Delhi, India.
Published: January 2020

Type 2 Diabetes mellitus is a serious metabolic disorder that is prevailing worldwide at an alarming rate. Medical dataset often suffers from the problem of missing data and outliers. However, handling of missing data with traditional mean based imputing may lead towards a bias model and return unpredictable outcome. Making complex models by combining multiple classifiers as well as some other methods could increase the accuracy which again is a time-consuming approach and requires heavy computation capability which significantly increases the deployment cost. The proposed research is to design a model to classify the data using class wise imputation technique and outlier handling. Performance of the proposed model is evaluated on nine machine learning classifiers and compared with traditional approaches like simple mean, median, and linear regression. Experimental results show the superiority of the proposed model in terms of classification accuracy and model complexity. The accuracy achieved by the proposed approach is 88.01%, which is highest as compared to the previous studies. The proposed research work is presented to improve accuracy, scalability and overall performance of the classification in the medical dataset, which ultimately proves to be a lifesaver if the diagnosis is achieved efficiently at an early stage.
Effect of Replacement of Natural Sand With M-Sand in Geopolymer Mortar
Authors:   UG Student, Department of Civil Engineering, Koneru Lakshmaiah Educational Foundation, Vaddeswaram, AP, India., Pranav* T. Ram , Arundhathi V. ,   UG Student, Department of Civil Engineering, Koneru Lakshmaiah Educational Foundation, Vaddeswaram, AP, India., Vamsi V. ,   UG Student, Department of Civil Engineering, Koneru Lakshmaiah Educational Foundation, Vaddeswaram, AP, India., Kumar B. Sarath Chandra ,   Associate Professor, Department of Civil Engineering, Koneru Lakshmaiah Educational Foundation, Vaddeswaram, AP, India., Raziya Abdul ,   PG Student, Department of Civil Engineering, Koneru Lakshmaiah Educational Foundation, Vaddeswaram, AP, India.
Published: January 2020

Geopolymer mortar manufactured with sand and M-sand, which is composed by the base materials containing affluent aluminium and silicon that was activated by adopting alkaline solution to serve as a binder. Alkaline solution was prepared by using a combination of sodium hydroxide and sodium silicate. The product of ground granulated blast furnace slag (GGBS) based geopolymer mortar was studied by using 8 M, 10 M, 12 M, 14 M and 16 M concentrations of NaOH; and by 50% and 100% partial replacement of natural sand by M-Sand. The compressive strength of geopolymer mortar cubes is tested at 3days, 7days and 28 days after casting. The test results were compared with normal cubes of geopolymer mortar with same concentrations of NaOH.
Enhanced Privacy with Multiple Search Over Cloud Data using EPSS
Authors:   Department of Computer Science and Engineering, K L Educational foundation, Deemed to be University, Vaddeswaram, Andhra Pradesh, India., Gupta* Amara S A L G G , Aneesha K. ,   Department of Computer Science and Engineering, K L Educational foundation, Deemed to be University, Vaddeswaram, Andhra Pradesh, India., Chakradhar T. ,   Department of Computer Science and Engineering, K L Educational foundation, Deemed to be University, Vaddeswaram, Andhra Pradesh, India.
Published: January 2020

Cloud computing is the service-oriented platform which will provide security for the various data uploaded by the users. Security is the service which can be provided by the service providers. There is a lot data that can be stored in the cloud with the help of various security algorithms. The data which can be stored in the cloud is called outsourced data. Every user wants to store the sensitive data to cloud storage. In this paper, the Enhanced Privacy and Secure Storage data (EPSS) can be searched with the multiple keywords. For the searching of multiple keywords the Enhanced Keyword Search (EKS) which retrieve the data very fast and with multiple records. Experimental results show the performance of the searching and security.
Deep Learning based Arrhythmia Classification with an ECG Acquisition System
Authors:   Bachelor of Engineering degree in Computer Science and Engineering from Nitte Meenakshi Institute of Technology (NMIT), Bengaluru, India., Badrinath* Roshan , Navada Abhay ,   Bachelor of Engineering degree in Computer Science and Engineering from NMIT, Bengaluru, India., Narahari Harshith ,   Bachelor of Engineering degree in Computer Science and Engineering from NMIT, Bengaluru, India, Datta Ankit ,   Bachelor of Engineering degree in Computer Science and Engineering from NMIT, Bengaluru, India, H. Dr. Sarojadevi ,   Professor, Department Of CSE at NMIT, Bengaluru, India.
Published: January 2020

One of the issues that the human body faces is arrhythmia, a condition where the human heartbeat is either irregular, too slow or too fast. One of the ways to diagnose arrhythmia is by using ECG signals, the best diagnostic tool for detection of arrhythmia. This paper describes a deep learning approach to check whether signs of arrhythmia, in a given input signal, are present or not. A batch normalized CNN is used to classify the ECG signals based on the different types of arrhythmia. The model has achieved 96.39% training accuracy and 97% testing accuracy. The ECG signals are classified into five classes namely: Normal beats, Premature Ventricular Contraction (PVC) beats, Right Bundle Branch Block (RBBB) beats, Left Bundle Branch Block (LBBB) beats and Paced beats. A peak detection algorithm with six simple steps is designed to detect R-peaks from the ECG signals. A hardware device is built using Raspberry Pi to acquire ECG signals, which are then sent to the trained CNN for classification. The data-set for training is obtained from the MIT-BIH repository. Keras and Tensorflow libraries are used to design and develop the CNN and an application is designed using ’MEAN’ stack and ’Flask’ based servers.
Effect of Ceramic Waste Aggregate in Concrete to Reduce Environmental Pollution
Authors:   Department of Civil Engineering, Faculty of Engineering, University of Muhammadiyah Jember, Jember, 68121, Indonesia., Muhtar*
Published: January 2020

The utilization of ceramic waste is one solution to reduce environmental pollution due to development waste. The aim of this study was to utilize ceramic waste as a concrete aggregate material. The test consisted of the mechanical properties test of ceramic waste aggregates and the compressive strength test of ceramic concrete. The variation of normal aggregate partial replacement with the aggregate of CWA is 0%, 25%, 50%, 75%, and 100%. The total number of specimens is 50 cylinders. From the results of material testing and ceramic concrete tests showed that ceramic waste aggregate can be used as concrete aggregates, especially for elements that accept compressive forces, shear forces, and in-plane forces. The X-ray test shows that CWA aggregate is not pozzolanic, so it can be used as a concrete aggregate to reduce environmental pollution. The percentage porosity of ceramic concrete is smaller than the porosity of normal concrete. The effect of partial replacement of normal aggregate with the CWA aggregate in concrete optimum at a value of 55% CWA aggregate.
Theoretical and Experimental Aspects of the Combined Cutting Process with Preheating Of Non-Rigid Parts (Shafts)
Authors:   Minin Nizhny Novgorod State Pedagogical University, V.A.* Zotova , E.A Semakhin ,   Minin Nizhny Novgorod State Pedagogical University, N.A Tikhonova ,   Minin Nizhny Novgorod State Pedagogical University, E.V Romanovskaya ,   Minin Nizhny Novgorod State Pedagogical University, N.S Andryashina ,   Minin Nizhny Novgorod State Pedagogical University
Published: January 2020

Comprehensive theoretical and experimental studies are presented in the field of developing a progressive technology for the manufacture of shafts from hard-to-handle materials with preliminary heating of the treated surface. A theoretical justi-fication is given for increasing the efficiency of combined cutting processing with simultaneous heating of the surface layer by creating and using new combined structural schemes and device designs. Which provide improved conditions for heat removal from the cutting zone and are simple, cheap and safe during pro-cessing.
An Ontology Driven System to Predict Diabetes With Machine Learning Techniques
Authors:   PES College of Engineering, Mandya, Karnataka, India., H R* Divakar , Ramesh Dr. D ,   Professor, Sri Siddartha Academy of Higher Education, Tumkur, Karnataka,India., Prakash Dr. B R ,   Govt. First Grade College, Tiptur, Karnataka, India.
Published: January 2020

Diabetes Mellitus is considered one of the chronic diseases of humankind which causes an increase in blood sugar. Many complications are reported if DM remains untreated and unidentified. Identification of this disease requires a lot of physical and mental trauma and effort which involves visiting a doctor, blood and urine test at the diagnostic center which consumes more time. Difficulties can be over crossed using the trending technology of Machine learning. The idea of the model is to prognosticate the occurrence of a diabetic with high accuracy. Therefore, two machine learning classification algorithms namely Fine Decision Tree and Support Vector Machine are used in this experiment to detect diabetes at an early stage. Therefore two machine learning classification algorithms namely Fine Decision Tree and Support Vector Machine are used in this experiment to detect diabetes at an early stage.