bluuebunny/crossref_metadata_2025 huggingface dataset:
Performance Characteristics of VCR Engine by Adding Waste Plastics Oil to Diesel
Authors:   Research Scholar, Department of Mechanical Engineering, Aarupadai Veedu Institute of Technology, Vinayaka Mission Research Foundation, Michael* B.Samuvel , BABU K.SURANDRA ,   Research Scholar, Department of Mechanical Engineering, Aarupadai Veedu Institute of Technology, Vinayaka Mission Research, NR Harish ,   JishnuT Bahulyem, Sethusudhaker UG Scholars, Aarupadai Veedu Institute of Technology, Vinayaka Mission’S Research
Published: February 2020

The waste plastics are collected at India in every year nearly 10 tons per day. The waste plastic has affects the humans being, house animals, birds and see foods earth and environment. The period of plastic decay may be taking nearly 1000 years. These waste plastics are used for filling purpose, or it may dump in back water area and ocean. But this technology process is recycling of these all type waste plastic in pyrolysis method. The pyrolysis methods the waste plastics are to heating the waste material in the vacuum chamber. In this study state condition 650 Celsius temperature need for melting and vaporizing. It condensed to make a fuel from waste plastics. It works like conventional fuel. This type of system can helping to reduced amount of waste plastic and can be provide 60% oil for gasoline to vehicles. The fuel does not emit any emission gases. It increases engine efficiency. This will be residue 5% of carbon block. The plastic oil will be mixed with diesel in some percentage like 5%, 10%, 20% and added with some additives, this additive is increase the engine performance, combustion characteristics and reduce emission. By making the use of pyrolysis technique, the levels of smoke is reduced which is verified by the experimental results. Brake Thermal Efficiency (BTE) also high when compared convention fuel. The pollutants such as carbon monoxide and NOx are presented in the waste plastic which is reduced by the proposed methods and it is observed that addition of oxygenates enhanced the combustion process
Performance of Vachellia Nilotica Seed Oil BioFuel with Different Nozzles
Authors:   Associate Professor, Department of Mechanical Engineering, Aarupadai Veedu Institute of Technology, Vinayaka Mission Research Foundation, (Deemed to be University), Krishnamoorthi* Sangeetha , Prabhu L. ,   Associate Professor, Department of Mechanical Engineering, Aarupadai Veedu Institute of Technology, Vinayaka Mission Research Foundation,(Deemed to be University),, kartheek Korsa ,   UG Scholars, Aarupadai Veedu Institute of Technology, Vinayaka Mission’S Research Foundation, (Deemed to be, B Hareesh. ,   UG Scholars, Aarupadai Veedu Institute of Technology, Vinayaka Mission’S Research Foundation, (Deemed to be, Karthikeyan G. ,   UG Scholars, Aarupadai Veedu Institute of Technology, Vinayaka Mission’S Research Foundation, (Deemed to be University)
Published: February 2020

This present study reports about the Acacia nilotica (karuvel) seed oil from which biodiesel for experimenting is produced. The greatest advantage of Karuvel oil is free from the content of fatty acid and so esterification of free fatty acid was done which was then undergone a transesterification process and from which the production of biodiesel was done. The catalyst like Sulphuric acid along with KOH was used as a catalyst and made available for the transesterification process. The gas chromatography and also the physiochemical properties is characterized for the biodiesel which is produced. Unsaturated fatty acid methyl esters are been found in a high value in the Karuvel biodiesel. A detailed report has been given on the Catalyst concentration and reaction time for completing the transesterification process.
High Throughput Efficient Modified SQRT Carry Select Adder
Authors:   Assistant Professor Dept Of ECE, Sri Venkateswara Engineering College, Tirupati, AndhraPradesh, India., Shyam* S V S Jaya , Rao K Venkateswara ,   Assistant Professor Dept Of ECE, Sri Venkateswara Engineering College, Tirupati, AndhraPradesh, India.
Published: February 2020

In numerous processors math unit is fundamental structure square like DSPs and chip. Adders are key structure obstructs in ALUs. In this manner expanding adders speed, lessening their vitality utilization and zone firmly impact the speed, control utilization and region of processor. There are numerous takes a shot at the subject of advancing velocity, zone of these units. One of way to deal with improve both the territory and speed is to forfeit the calculation precision. This methodology is rough registering, might be utilized for the applications where a few blunders might be endured. In Reverse Carry Propagate Adder (RCPA) the convey engenders in a counter-take the path of least resistance way from MSB to LSB, subsequently the information convey sign has higher significance than the yield bring. This methodology of convey proliferation brings about better solidness inside the commonness of put off varieties. Three execution of the Reverse Carry Propagate Adder (RCPA) cell by various speed, power and precision degrees are presented. The proposed structure might be joined with a definite (forward) convey viper to frame cross breed adders with tunable degrees of exactness. Further this venture is upgraded by 16-piece Modified SQRT Carry Select snake. This upgrade improves the territory, time enhancement in snake usage..
Implementation of 64-Bits Radix - 8 IFFT for Computation Speed by IDIF using Verilog
Authors:   Assistant Professor,Dept of ECE,Malla Reddy Institute Of Engineering And Technology,Hyd.,TS, India, Kumar* B. Anil , Reddy M.Naveen ,   B.Tech Student, Dept of ECE, Malla Reddy Institute Of Engineering And Technology, Hyd., TS, India, Kollipara Vamshi ,   Assistant Professor,Dept of ECE,Malla Reddy Institute Of Engineering And Technology,Hyd.,TS, India, Rajesh B. ,   Student, B.Tech Student, Dept of ECE, Malla Reddy Institute Of Engineering And Technology, Hyd., TS,India
Published: February 2020

Always technical designers choice includes algorithms, flowcharts, programming etc and the end users requires given input and application output. Based upon this view this paper focus on the advancement of Inverse Fast Fourier Transform(IFFT) by doing design and observing the performance analysis of 64 point IFFT, using Radix-8 algorithm. The algorithm is developed by Inverse Decimation In Frequency(IDIF) of IFFT, using Verilog as design entity and synthesis are performed in Xilinx. In this architecture the numbers of stages are reduced to 75%.
Workplace Influencers and Performance
Authors:   School of Management, Vel Tech RangarajanDr.Sagunthala R&D Institute of Science and Technology, Chennai, Tamilnadu, India, Krishnan* S. Arul , Balaji B. ,   Shree Gurukripa Institute of Finance and Management, Chennai, Tamilnadu, India.
Published: February 2020

Management education has been evolving and general management programmes are a thing of the past. Specialised management programmes are the flavour of the day. This necessitates that faculty must possess specialised knowledge in one or main domains. This involves in depth learning and assimilation of skills that ned to be transferred to students pursuing management education. The role of the faculty is crucial in not just developing graduates but also fostering citizens who are valued across nations. Faculty can be focussed only when the workplace is filled with positive vibes and ambience. This paper analyses various workplace influencers to determine the level of impact on faculty performance. The primary data was obtained from 629 faculty and regression applied to decode the impact.
Business Process Reengineering in a Volatility, Uncertainty, Complexity, Ambiguity, and Disruptive (VUCAD) Landscape
Authors:   College of Business and Financial Science, University of Makati, Philippines, Rafael* Felicisima V. , Rafael Learando E. ,   College of Business and Financial Science, University of Makati, Philippines, Villaruz Grace B. ,   College of Business and Financial Science, University of Makati, Philippines, Cuyugan Venus P. ,   College of Business and Financial Science, University of Makati, Philippines
Published: February 2020

This paper presents a Business Process Reengineering in a Volatility, Uncertainty, Complexity, Ambiguity, and Disruptive (VUCAD) context in a telecommunication company in the Philippines. Telecommunication companies thrive to counter human resources related problems such as high attrition rates, expensive talent acquisition and management program in the telecom sector, access management and connectivity, and human resources productivity turn-over. In this age of Fourth Industrial Revolution (4IR) which heavily relies on the technology-driven operations, Business process re-engineering (BPR) has been seen to purport quantum leap and improvements in the organizational performance by looking and focusing the business process improvements in the technology roadmap design, analysis and design of process workflows, and business process within the confine of the organization. The researchers utilized a descriptive-evaluative research design using analytical tools SWOT and PEST. Based on the study, the telecom company should invest in integrating the emerging technologies in the operation, and that a Technology Roadmap was recommended. Further studies could be done using empirical analysis and other engineering techniques to solve recurring problems in telecommunication and other companies.
Remote Sensing and Controlling of Co2 and Greenhouse Parameters Based on Iot
Authors:   Department of ECE, JNTUA University, Kuppam Engineering College, Kuppam, India,, Chakradhar* Diyyala , Kumar D siva ,   Associate Professor, Department of ECE, Kuppam Engineering College, Kuppam, India, Kishore S. Nanda ,   Associate Professor in department of ECE, Kuppam.
Published: February 2020

The world global climate[6] change has caused unpredictable climatic conditions that have resulted within the international food shortage being knowledgeable about. A greenhouse can ordinarily turn out a lot of crops per square measure when put next to open field cultivation since the microclimatic parameters that confirm crop yieldareunendinglymonitoredAssociateinmanage and controlto confirm that an optimum surroundings is formed. The machine-driven greenhouse system achieves observation and management of a greenhouse[4] surroundings by exploitation sensors and actuators that are underneath the management of a microcontroller running a bug. The system consists of 2 stations. Remote observation station and therefore the Actuators/Sensors Station. The controller utilized in the actuators/ sensors station that ensures that the microclimatic parameters keep among pre-defined values as determined and set by the user is that the Arduino prototyping platform. The planned system is a remote sensing of agriculture parameters and system to the greenhouse agriculture. The arrange is to regulate greenhouse air, soil wet, temperature, and light, supported the soil wet the dominant action is accomplished for the greenhouse windows/doors supported crops once 1/4 complete around the year. The target is to extend the yield and to supply organic farming. The result shows the remote of greenhouse gas, soil wet, temperature, and light-weight for the inexperiencedhouse.
Assessment of Plant Disease Identification using GLCM and KNN Algorithms
Authors:   Department of CSE, GCET, Hyderabad, India, Babu* Ch. Ramesh , Rao D.Srinivasa ,   Dept. of Information Technology, VNRVJIET, Hyderabad, India, Kiran V.Sravan ,   Department of IT, SMEC,Hyderabad, India, Rajasekhar N. ,   Dept. of Information Technology, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad,India
Published: February 2020

One of the significant segments of Indian Economy is Cultivation. Occupation to almost 50% of the nation’s labor force is delivered by Indian cultivation segment. India is recognized to be the world's biggest manufacturer of pulses, rice, wheat, spices and spice harvests. Agronomist's financial progress is contingent on the excellence of the goods that they yield, which depend on on the plant's progress and the harvest they get. Consequently, in ground of cultivation, recognition of disease in plants shows an involved part. Plants are exceedingly disposed to to infections that disturb the progress of the plant which in chance distresses the natural balance of the agronomist. In order to distinguish a plant disease at right preliminary period, usage of automatic disease detection procedure is beneficial. The indications of plant diseases are noticeable in various portions of a plant such as leaves, etc. Physical recognition of plant disease by means of leaf descriptions is a wearisome job. The k-mean clustering procedure is utilized for the segmentation of input images. The GLCM (gray-level co-occurrence matrices) procedure is utilized which excerpts textural features from the input image and implementation of KNN (k-nearest neighbors) algorithm for image classification and produced classification accuracy from 70 to 75% for different inputs. Hence, it is required to develop machine learning based computational methods which will make the process of disease detection and classification using leaf images automatic. .. To advance concert of standing methods machine learning and deep learning algorithms will be utilized for more accurate classification.
Adaptive Neuro Fuzzy Observer Estimator for Servo Motor
Authors:   Research Scholar, Dept. of Computer Science, Sri SatyaSai University of Technology & Medical Sciences, Sehore, Bhopal-Indore Road, Madhya Pradesh, India, Mangilal* Nunavath , Srinivasan Dr. M. ,   Research Guide, Dept. of Computer Science, Sri Satya Sai University of Technology & Medical Sciences, Sehore, Bhopal Indore Road, Madhya Pradesh, India
Published: February 2020

The servo engine is really an assembly of 4 things: a gear reduction product, a typical DC motor, a position sensing unit along with a management circuit. The DC engine is actually associated with a gear mechanism that delivers comment to a position sensor that is mainly a potentiometer. The point of this research is to design a NFSC which could be applied to a DC servo motor based explanatory antenna locating system. To accomplish this, initial, a Fuzzy Logic Controller (FLC) was designed utilizing master information. Next, NFSC was designed dependent on the FLC algorithms by utilizing Neural Network (NN) figuring out how to tune the Fuzzy Logic (FL) rule base through hybrid training method.
Internet Controlled Remote Vehicle with Live Video Relay and Local Memory
Authors:   Department of Information Technology SRM Institute of Science and Technology, Kattankulathur, Chennai, India., Geetha* G , G Saranya ,   Department of Information Technology SRM Institute of Science and Technology, Kattankulathur, Chennai, India., K Meenakshi ,   Department of Information Technology SRM Institute of Science and Technology, Kattankulathur, Chennai, India., M Safa ,   Department of Information Technology SRM Institute of Science and Technology, Kattankulathur, Chennai, India.
Published: February 2020

A surveillance system is of the utmost importance in any area or domain, but the process of planning, building and executing this surveillance system is based on the use-case. The use-case of this particular surveillance system is used for post-destruction areas and areas that dissipate chemical radiation. The objective of this paper is to design the model and assemble an Internet Controlled Remote Vehicle that is managed and controlled through the web page, where the user can also access and view the live video relay. The end goal of this paper to draft an interface that consists of the application, settings, camera, and devices general navigation purpose, to achieve this objective the remote-controlled vehicle uses wireless technology and the data is given to the device for the navigation. The device assists in situations where a building might have many levels so the surveillance of such building would be difficult as the installation of cameras would be expensive, difficult and even with the assistance of security guards it would be difficult as there would be many blind spots and too much area to cover. Another such condition where the device can be used to counter the difficulty is probably in the areas where there has been a chemical, toxic gas leak or radiation. The device provides the above challenges or situations via the implementation of a dynamic monitoring system based on an IP camera navigated or steered by a Wi-Fi remote-controlled car. The car is steered by the user, using the web page designed for the dedicated movement the user desires. The IP camera acts as eyes for viewing the area in front of viewing on the web page. Wi-Fi System is used to connect the user via a server.
Advanced Air Pollution Detection using IOT and Raspberry PI
Authors:   Department of Computer Science, Shivaji university, Kolhapur, Al-Zaheiree* Ali AbaasAboodee , AL-Zubaidi Yasir Ahmed Taha ,   Department of Computer Science, Shivaji university, Kolhapur, Gaikwad Dr.S.S. ,   M.Sc. Ph.D. Department Computer Science, Shivaji university ,Kolhapur, Kamat Prof.(Dr.).R.K. ,   M.Sc., Ph.D, Head of Department Computer Science, Shivaji university ,Kolhapur
Published: February 2020

Air pollution becomes more complicated nowadays in many applications. In India, many cities are affecting air pollution. This is the increasing problem day by day. Various measures are taken to calculate the air quality and more preventative measures to be taken to control air pollution. Many air quality measures are taken to overcome the pollution but till now no improvement in the air quality is observed. In this paper, an enhanced air quality detection system is introduced to find the air polluted gases present in the environment. Air quality index was sensed gases like MQ2, MQ135, MQ7, etc. and displayed each and every calculation in the LCD display. New integrated technology is introduced with the integration of IoT to overcome the pollution problem.
Determination of the Quality Characteristics of Fibers Obtained From Mulberry Bark
Authors:   Faculty Technology of light industry and design, Tashkent Institute of Textile and Light Industry, Tashkent, Uzbekistan, Ubaydullaog’li* Sarvarjon Patxullayev , MurtozaevnaIslambekova Dr.Sci.Tech Nigora ,   Department of "Technology of silk", Faculty Technology of light industry and design, Tashkent Institute of Textile and Light Industry, Tashkent, Uzbekistan, Kulmetov Prof. Mirpolat ,   Faculty Technology of light industry and design, Tashkent Institute of Textile and Light Industry, Tashkent, Uzbekistan, Ashurovich Prof. Ochilov Tulkin ,   Faculty Technology of light industry and design, Tashkent Institute of Textile and Light Industry, Tashkent, Uzbekistan, Fahritdinovna Senior teacher ValievaZulfiya ,   Faculty Technology of light industry and design, Tashkent Institute of Textile and Light Industry, Uzbekistan,
Published: February 2020

This article presents and analyzes the indicators of the length, breaking load, fineness, elongation at break in a group of fibers of natural origin, such as cotton, silk, wool, as well as a comparative characteristic of crimp indices per 1 cm, components of the total deformation of fibers obtained from different parts of silkworm branches
A Prototype Model of Virtual Authenticated Key Exchange Mechanism over Secured Channel in Ad-Hoc Environment
Authors:   Assistant Professor, Sri Krishna Adithya College of Arts and Science, Coimbatore, India., Malathi* S. , Mohan. Dr. C. ,   Assistant Professor in Department of Computer Science, The American College, Madurai, India., Arun. M. ,   Assistant Professor in Sri Krishna Adithya College of Arts and Science, Coimbatore, India, Kalpana. R. ,   Assistant Professor in Sri Krishna Adithya College of Arts and Science, Coimbatore, India, Athigopal M. ,   Assistant Professor in Subbalakshmi Lakshmipathy College of Science, Madurai, India.
Published: February 2020

Key exchange protocols play a vital role in symmetric key cryptography. The transfer of private key through the secured medium is a challenging task because every day the intruders are evolved and the attacks are increasing constantly. The existing key exchange protocols such as Diffie-Hellman, Elgamal, and MQV, etc. are the old methods and many attacks happened on those protocols. That challenges demanding new protocol or methodology of transferring secret key between the parties. The paper proposes a new, secured, less computational overhead key exchange mechanism using short message service available in the cellular networks. GSM-SMS is a highly established secured channel and the research uses this facility to transfer the key between senders to a receiver of the symmetric key cryptosystem. The private key no need to reveal to third parties or even the receiver because the sender can directly communicate to the decryption system through the mobile SMS. After the decryption process, the secret key will be destroyed immediately. There is no possible attack during the key transfer and loss and error of the communication are very less.
Bidirectional Resonant DC-DC Converter for Microgrid applications
Authors:   School of Electrical and Electronics Engineering, VIT Chennai, Tamilnadu, India., G* Kanimozhi , G Amritha ,   School of Electrical and Electronics Engineering, VIT Chennai, Tamilnadu, India., C Umayal. ,   School of Electrical and Electronics Engineering, VIT Chennai, Tamilnadu, India., S Ravi. ,   Department of Electrical, Computer and Telecommunication Engineering, Botswana International University of Science and Technology, Botswana
Published: February 2020

This paper presents a non-isolated bidirectional soft-switching dc-dc converter for DC microgrid energy storage synchronization. To assist the soft switching of switches and diodes, the LCL resonant circuit is applied and an input end half-bridge boost converter is enforced. Using the voltage doubler circuit introduced on the output side, a voltage gain of 2X is achieved. Through the non-isolated circuit, the total voltage gain is obtained. The capacitive divider halves the voltage on the greater hand. The circuit performs a high frequency ripple of low output voltage. Diodes guarantee zero voltage Turn ON for switches and zero current turn ON and turn OFF during buck / boost operation Although no internal snubber circuits are available, the circuit ensures low voltage stress across semiconductor systems.
Performance Analysis of Gudgeon Pin of Various Cross Sections by FEM
Authors:   Department of Mechanical Engineering, Jabalpur Engineering College, Jabalpur, India., Gupta* Saurabh , Saini Ruchika ,   Department of Mechanical Engineering, Jabalpur Engineering College, Jabalpur, India., Kumar Abhishek ,   Department of Mechanical Engineering, Jabalpur Engineering College, Jabalpur, India, Shrivastava Prateek ,   Department of Mechanical Engineering, Jabalpur Engineering College, Jabalpur, India
Published: February 2020

Gudgeon pin are one of most heavily stressed component present in engine Gudgeon pin is used in automobile engines to connect piston and connecting rod. and its failure can cause seizure of the engine. Thus they are carefully designed. This project deals with gudgeon pin of different inner profiles keeping the outer diameter constant which is equal to piston boss to provide a more strengthen gudgeon pin. Profiles investigated are hollow, uniform stepped, tapered, step taper. The models with mentioned inner profiles keeping outer profile straight are made using CATIA and then analyzed for using ANSYS for parameters maximum principal stress, equivalent (von-mises) stress, strain energy and total deflection. Considering all these parameters most suitable design of gudgeon pin is decided. On investigation of the different profile it was found that step taper profile gave the best results .Thus providing a stronger gudgeon pin leading to decrease in chances of failure.
Stabilization of Subgrade Black Cotton Soil using Quarry Dust and Foundry Sand
Authors:   PG Student, Highway technology, VTU PG Centre Kalburagi, Karnataka (State), india, Prabhakar*  , Kori Sharanabasappa ,   Assistant Professor, Department of Highway Technology , VTU PG Centre, Kalaburagi, Karnataka (state), India, Ramana N. Venkata ,   Associate Professor, Department of studies in Civil Engineering, VTU PG Centre, Kalaburagi, Karnataka (state), India
Published: February 2020

Soilsstabilization cansbesexplained as the alteration of the soilsproperties by chemical or physicalsmeans in order to improve thesengineering excellence of the soil. The main objective of the soil stabilization is to raise the bearingscapacity of the clay soil, its opposition to weathering method and soilspermeability. The long-termsperformance of any constructionsproject depends on the reliability of the underlying soils. unsound clay soils can create considerable problems forspavements, Thereforessoil stabilization techniquessare essential to ensure the good constancy of clay soil so that it can successfully uphold the loadsof the superstructure specially in case of clayssoil which are very active, alsosit saves a lot of time andsmillions of funds whenscompared to the technique of cutting out and replacingsthe unsound soil. In this Studysdeals with the entire analysis of the enhancement of black cotton soilsproperties and itssstabilization using Quarry Dust and industrial Foundry sand. The basic tests were carriedsout on soil, quarry dust and foundry sand are Atterberg’s Limit, Modified Proctor Compaction and CBR Test with addition of 5%, 10% and 15 % of Quarry Dust to soil sample after result analysis, obtained keeping Quarry Dust 15% constant and addition of Foundry sand 5%, 10%, 15% and 20%. After test results the maximum CBR Value found at 15% Quarry Dust and 15% Foundry Sand. Dumping of these waste materials is necessary as these are causing dangerous effects on the surroundings. With the same purpose literature review is undertaken on consumption of solid desecrate materials for the stabilization of soils and their performance are discussed.
Learning Effective Video Features for Facial Expression Recognition via Hybrid Deep Learning
Authors:   Department of Computer Science and Engineering, , Saveetha school of engineering , Saveetha Institute of Medical and Technical Sciences, Chennai, India., Kumar* A. Rajesh , Divya G. ,   Assistant Professor, Department of Computer Science and Engineering, Saveetha school of engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, India.
Published: February 2020

Facial Expression Recognition is one of the recent trends to detect human expression in streaming video sequences. To identify emotions of video like sad, happy or angry. In this paper, the proposed method employs two individual deep convolution neural networks (CNNs), including a permanent CNN processing of static facial images and a temporary CN network processing of optical flow images, to separately learn high-level spatial and temporal characteristics on the separated video segments. Such two CNNs are fine tuned from a pre-trained CNN model to target video facial expression datasets. The spatial and temporal characteristics obtained at the segment level are then incorporated into a deep fusion network built with a model of deep belief network (DBN). This deep fusion network is used to learn spatiotemporal discriminative features together
Intelligent Based Vibration Control towards the Improvement of Vehicle Ride Comfort
Authors:   Malaysia-Japan International Institute of Technology, University Technology Malaysia Kuala Lumpur, Malaysia., Munawwarah* Sharifah , Yakub* Fitri ,   Malaysia-Japan International Institute of Technology, University Technology Malaysia Kuala Lumpur, Malaysia., Muhammad Pauziah ,   Malaysia-Japan International Institute of Technology, University Technology Malaysia Kuala Lumpur, Malaysia., Hj Abu Aminudin ,   Malaysia-Japan International Institute of Technology, University Technology Malaysia Kuala Lumpur, Malaysia., A.Rasid Zainudin bin ,   Malaysia-Japan International Institute of Technology, University Technology Malaysia Kuala Lumpur, Malaysia.
Published: February 2020

The mechanism of vehicle suspension system is splitting the car body from the tire of the car. The suspension system is an important element in vehicle design because it effects the ride comfort and passenger’s safety. These two criteria are conflicting to each other. Therefore, this paper proposes an intelligent chassis control of quarter car active suspension system to enhance the vehicle ride comfort and road holding performance. The fuzzy logic control is designed to maximize the driving comfort by keeping the wheel always in contact with road surfaces. Several scenario has been created for analysis purposes. The performance of the fuzzy logic is compared with the PID control and LQR control method respectively. The novelty of this paper is, the ride comfort is measured up to higher derivative of motion. No significant literature was found on the higher derivative of motion such as jerking to improve the ride comfort. Based on the simulation results, Fuzzy logic outperforms the other two controllers on car body displacement, car body acceleration, wheel deflection and jerking with with higher percentage of improvement compare to PID control and passive suspension system.
Design and Simulation of AI Based Dynamic Deployment Algorithm for WSN using NS3
Authors:   Department of Computer Science & Engineering, Sri Venkateshwara College of Engineering, Bangalore, Karnataka, India., Herakal* Renuka C. , Talanki Suresha ,   Principal, Sri Venkateshwara College of Engineering, Bangalore, Karnataka, India.
Published: February 2020

Currently the Wireless Sensor Network (WSN) is considered as one among the interesting and emerging research domains. The software and hardware capabilities of sensor nodes in WSN have improved the technology and supported to recognise WSN as one of the motivating and stimulating domains. The implementation and adoption of best dynamic deployment techniques in the application of WSNs have been specified as efficient and well-organised solutions in order to enhance the performance of WSN. The existing dynamic deployment algorithms are reviewed and ensured that there is more scope for the enhancement and improvement in terms of solving the constraints related with the rate of energy consumption and performance of WSN. In this research work, a new dynamic deployment algorithm based on Machine Learning (ML) concepts named as Cluster Head Energy Optimizer (CHEO) is designed and implemented in an urge of enhancing the performance of WSN. The results and conclusion of this research validates the performance of WSN by considering the parameters such as, energy efficiency, area of coverage, rate of data transmission and number of deployed nodes in the selected area of application. The result is compared with the existing dynamic deployment algorithms and concludes that, new algorithm yields the better result than those of existing deployment algorithms.
Feature Extraction for Speech Classification
Authors:   Assistant Professor, Department of ECE, NMAMIT, Nitte, Udupi district, Karnataka, N* Mrs. Shankari , Ms. Rajashree  ,   Assistant Professor, Department of CSE, NMAMIT, Nitte, Udupi district, Karnataka
Published: February 2020

Study of phonological Processes, Speech recognition, Speech Synthesis and language learning requires Automatic classification of class of sounds and automatic identification of sound classes. This paper focuses on identifying features efficient in discriminating different classes of sound such as analyzing spectral features such as distinctive frequency components by Linear Productive Coding technique and vocal tract length. Artificial Neural network and Random Forest Classification Technique is used to check effectiveness of identified feature with 10-fold cross validation. The proposed system is also aimed at improving performance of phoneme recognition system.
Mathematical Model for Strength Prediction of Concrete under Influence of GGBS and Fly Ash
Authors:   structural department, MBM Engineering College or Jai Narain Vyas University, jodhpur, India., saini* Krishan kumar , gehlot Tarun ,   department, structural department, MBM Engineering College or Jai Narain Vyas University, jodhpur, India., Sankhla Dr Suresh Singh ,   department, structural department, MBM Engineering College or Jai Narain Vyas University, jodhpur, India.
Published: February 2020

There are many variables of concrete that affect its strength gaining characteristics. This study is a research to use the early compressive strength test result to evaluate compressive strength at different ages. Proper use of the early day compressive strength result to predict characteristic strength of normal weight concrete has been investigated. A simple model capable of predicting the compressive strength of concrete at any age is proposed for locally available aggregate concrete. The model develops a rational polynomial equation having only two coefficients. This study also proposes a simple justified relationship between the coefficient (strength at infinite time) with the strength values of concrete of a particular day. This relation almost make simple to understand and reliable to any the concrete strength prediction model. The developed model is validated for commonly used for local aggregate concrete. Data used in this study are collect from some previous studies of research scholars and recent experimental works of us at RCC lab of MBM Engineering College Jodhpur. along with data sets of conventional concrete (CC), we have also considered influence and variation of GGBS and FLYASH in Conventional concrete and we have selected the various data sets for M1 ( GGBS & FLY ASH ),M2( GGBS ) & M3( FLY ASH) member group .The research carried with the model using different data exhibit reliable prediction of concrete strength at different ages (7, 14, 28 days.) with good accuracy.
Similarity Measurement Technique for Measuring the Performance of Page Rank Algorithm Based On Hadoop
Authors:   Department of CSE, Mawlana Bhashani Science and Technology University, Tangail-1902, Bangladesh., Wadud* M. A. H. , Jafor M. A. ,   Department of CSE, Mawlana Bhashani Science and Technology University, Tangail-1902, Bangladesh., Mridha M. F. ,   Department of CSE, Bangladesh University of Business and Technology, Dhaka, Bangladesh., Rahman* M. M. ,   Department of CSE, Mawlana Bhashani Science and Technology University, Tangail-1902, Bangladesh.
Published: February 2020

In this century big data manipulation is a challenging task in the field of web mining because content of web data is massively increasing day by day. Using search engine retrieving efficient, relevant and meaningful information from massive amount of Web Data is quite impossible. Different search engine uses different ranking algorithm to retrieve relevant information easily. A new page ranking algorithm is presented based on synonymous word count using Hadoop MapReduce framework named as Similarity Measurement Technique (SMT). Hadoop MapReduce framework is used to partition Big Data and provides a scalable, economical and easier way to process these data. It stores intermediate result for running iterative jobs in the local disk. In this algorithm, SMT takes a query from user and parse it using Hadoop and calculate rank of web pages. For experimental purpose wiki data file have been used and applied page rank algorithm (PR), improvised page rank algorithm (IPR) and proposed SMT method to calculate page rank of all web pages and compare among these methods. Proposed method provides better scoring accuracy than other approaches and reduces theme drift problem.
Classification of Categorical Outcome Variable Based on Logistic Regression and Tree Algorithm
Authors:   Pursuing Ph.D. in Statistics from J.J.T.University, Jhunjhunu, Rajasthan, India., Jadhav Mrs. Pratibha Vijay , Patil Dr. Vaishali Vilas ,   Assistant Professor in TC College Baramati Pune Maharashtra India., Gore Dr. Sharad Damodar ,   Professor in JJTU Rajasthan India.
Published: February 2020

Logistic regression is most popular techniques incorporated in traditional statistics. Usually, this regression is applicable when the dependent variable is of categorical binary in nature. In the field of Statistics and Machine learning, classification of data is critical to discriminate to which set of clusters a new observation belongs, in the base of training set of a data containing observation whose group relationship is known. In this paper, we are focusing on the concepts of Logistic regression and classification tree. A large data taken from UCI (Machine learning Repository) incorporated for this research work. The aim of study is to distinguish the results obtained from Logistic regression and decision tree. At the end, decision tree gives better results than Logistic regression.
Performance Assessment of K-Means and KNN Algorithm for the Detection of Borders and Extraction of Plaque Area from IVUS Images
Authors:   Assistant Professor, Department of Computer Science, N.M.S.S.Vellaichamy Nadar College, Nagamalai,Madurai, Mahadevi* C. , Sivakumar Dr. S. ,   Associate Professor and Head, Department of Computer Science, Cardamom Planters’ Association College, Bodinayakanur -625513, Theni District, TN,India.
Published: February 2020

The coronary artery vascular disease of atherosclerosis, which made the blood vessel artery wall harden and narrow. The vascular wall disease quantitatively analyzed and diagnosed by an intravascular ultrasound (IVUS) image. The quantitative investigations of coronary atherosclerosis by means of IVUS and manual recognition of wall and plaque borders are restricted by the need for observers with considerable understanding and the tedious environment of manual border detection. To improve and provide more detailed vessel and plaque information for better diagnosis and assessment go for an automated segmentation. An automated construction for the purpose of perceiving lumen and media-adventitia borders in IVUS images was effectively formulated. An effectual unsupervised K-Means clustering scheme refine the borders with morphological operations, later an IVUS data samples area classified using supervised KNN(K-Nearest Neighbor) classifier to extract the plaque feature. The performance of contour metric measurements in terms of Jaccard Index (JI), percentage area difference (PAD), area error (AE), dice index (DI), false positive ratio (RFP), in addition to false negative ratio (RFN) are computed for evaluation and variation.
Performance of Self Compacting Concrete Incorporating Coarse Recycled Concrete Aggregates Exposed to Sulphate Attack
Authors:   M. Tech Student, Department of Civil Engineering, National Institute of Technology, Hamirpur – 177005, Himachal Pradesh, India, Saini* Saurav , Thakur Ankit ,   Assistant Professor, Department of Civil Engineering, Alakh Prakash Goyal Shimla University, mehli, Shimla – 171013, Himachal Pradesh, India
Published: February 2020

The interpretation of the performance of self-compacting concrete made with distinct proportion of coarse recycled concrete aggregate (RCA) (0%, 25%, 50%, 75% and 100%) exposed to sodium sulphate solution (50 gram/litre) under fully immersion condition is studied in this paper. Compressive and tensile strength development/degradation, mass change and length change under sulphate attack was surveyed for all tested units. According to the results it can be conclude that the use of coarse recycled concrete aggregate does not affect the development of strength of concrete with respect to natural material mixtures. It also conclude that for producing of sustainable and green concrete, the quality of used coarse recycled concrete aggregate is an important factor. The differ proportion of coarse recycled concrete aggregate & duration of immersion of concrete in sulphate solution also affect the concrete properties. Reusing recycled combination has twin property benefits: benefiting many tons dismantled concrete worldwide and conserving natural aggregates.
Blockchain for the Security of Internet of Things: A Smart Home use Case using Ethereum
Authors:   Khwaja Yunus Ali University, Enayetpur, Sirajganj-6751, Bangladesh, Hossain* Md. Selim , Waheed Sajjad ,   Mawlana Bhashani Science and Technology University, Tangail, Bangladesh., Rahman Ziaur ,   Mawlana Bhashani Science and Technology University, Tangail, Bangladesh., Shezan SK. A. ,   School of Engineering, RMIT University, Melbourne, Australia, Hossain Md. Mahabub ,   Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh.
Published: February 2020

Internet of Things (IoT) that has been developed owing toward the merging of various technologies such as instantaneous analytics, machine learning, artificial neural network, product sensors and implanted systems, etc. It also stages a significant part in multiple applications which are a smart city, smart home, agricultural, health monitoring, tourism, transportation, communication, business, education, etc. The security concern associating IoT has to be situated in the direction to attract the research community due to its immensely growing application in our daily life. Since it is light-weight nature, the security mechanism needs changes apart from comprehensive web security. PKI based certificate driven techniques, which in some instances seem not appropriate on the way toward encounter IoT challenges, e.g., as real-time effectiveness, costs, and performance from the security perspective. However, Blockchain has mind-blowing potentials to peer with the IoT aiming to build trust, transparency, and security. Its distinct properties, such as distributed behavior, immutability, and consensus mechanism, can stimulate and improve the rapidly growing IoT system through meaningful integration. We propose to address a practical smart home use case scenario using Ethereum Blockchain to improve IoT security. Public type and smart contract oriented Ethereum Blockchain are adaptable to enhance IoT security remains individual of the contributions that we claim throughout this research work.
Wearable Fetal Ecg Home Monitoring System
Authors:   Department of Electronics and Communication, School of Technology, GITAM (Deemed to be University), Bangalore, India., Manna* Sanhita , R. Manjula ,   Department of Electronics and Communication, School of Technology, GITAM(Deemed to be University), Bangalore, India.
Published: February 2020

The fetal heart signal is one of the important parameter to monitor during gestational period. It provides information regarding fetal stress condition and oxygen availability in organs. With wearable fetal monitoring system it is possible to monitor the overall health condition of the fetus from home. The paper discusses a prototype fetal ECG monitoring system that can be used by pregnant mother to monitor fetal wellbeing and transmit the data to a remote monitoring station to obtain opinion. The conventional fetal ECG monitoring system uses a gel-based electrode to acquire the signal, which cannot be used for long duration monitoring. The proposed system discusses a dry electrodes made of a textile material which does not use the gels to record the ECG signals.
Green Synthesis of Copper Oxide Nanoparticles from Magnolia Champaca Floral Extract and its Antioxidant & Toxicity Assay using Danio Rerio
Authors:   Dept. of Biotechnology, Vellore Institute of Technology, Vellore, Tamilnadu, India, J* Santhoshkumar , Kumar Dr S. Venkat ,   Associate Professor, Dept. of Biotechnology, Vellore Institute of Technology, Vellore, Tamilnadu, India.
Published: February 2020

The biosynthesis of copper oxide (GS-CuO) nanoparticles utilizing Magnolia champaca floral extract was studied, where the Magnolia champaca was used for the reduction of precurosor to elemental CuO nanopartciles which also provides stabilization. Physiochemical properties of GS-CuO nanoparticles were described utilizing analytical strategies like UV-Vis, XRD, FT-IR, SEM, TEM, Zeta potential and DLS analysis. The UV-Visible spectrum gave maximum absorbance in the scale of 250-350 nm. The biosynthesized GS-CuO was crystallite in nature and it was investigated by XRD and was verified with JCPDS NO: 89-589. FT-IR analysis spectrum at 3302 cm-1 is assigned for alcoholic hydroxide group, 1022 cm-1 correspondings to CH3 shaking vibration respectively. The morphology of biosynthesized nanoparticles was between 20 to 40 nm and spherical shape was investigated utilizing TEM. The antoxidant potentiality of GS-CuO was evaluated by DPPH, ABST test, that demonstrated inhibition values at 76.30% and 66.46% respectively. Toxicity quality examination was performed utilizing morphological investigation, incubating, and viability rate examination on zebrafish embryonic model. The toxicity quality assessment with zebrafish uncovered organ advancement with various viability and hatching speed at 48 and 72 hpf with LC50 of 500 ± 15 mg/L.
Gross Enrolment Ratio Prediction using Artificial Neural Network
Authors:   Department of Mathematics and Computer Science, Mizoram University, Aizawl, India., J* Hussain. , D Rosangliana. ,   Department of Mathematics and Computer Science, Mizoram University, Aizawl, India., Vanlalruata  ,   Department of Mathematics and Computer Science, Mizoram University, Aizawl, India.
Published: February 2020

The present paper deals with Gross Enrolment Ratio (GER) prediction in higher education within the state of Mizoram, India. The data used in this study are obtained from the yearly report of All India Survey on Higher Education (AISHE), published by Ministry of Human Resource Development (MHRD), Govt. of India and Statistical Handbook of various years published by Dept. of Economics & Statistics, Govt. of Mizoram. In this study, a soft computing technique known as Artificial Neural Network (ANN) is implemented for prediction of GER in higher education. The data obtained are analyzed and categorized into two classes known as the input and target data. The input data represent the years from 1968 to 2017. The target data represents the enrolment details corresponding to the input year such as, male enrolment, female enrolment, eligible population and GER. After generating these input data and target data, an ANN is used for building a model. The model has been trained and tested using 530260 student enrolment data for the period of 50 years. In order to obtain an accurate GER prediction, the accuracy of four architectures of ANN known as Back Propagation (BP), Radial Basis (RB), Recurrent Neural Network (RNN), and Feed Forward Neural Network (FFNN) are compared. The comparison is carried out by performing a prediction on the known data set. It is found that BP Neural Network with 50 hidden neurons and a learning rate of 0.1 gives the best prediction accuracy. Therefore, to predict the future GER, a BP neural network is implemented in this study. The main focus of this study is to analyze the pattern of enrolment and to predict future GER, as GER is a primary indicator for the status of higher education. The result obtained may help policymakers to take suitable decision to increase GER in higher education within the state of Mizoram so as to contribute to the govt. of India's target of 30% by the year 2020.