Manuscripts

Recent Papers

Research Paper

Intelligent Electronic Toll Collection System on Highway (Android App)

In few years, the number of vehicles is getting increased day by day due to this the amount of traffic in most of the roads are increased. There are some of the highway roads, where the people need to pay the toll tax. Most of the toll plazas are manually worked which is time consuming process and increases heavy traffic, fuel wastage and other issues. To automated this process, we propose a new Toll Collection Android App which uses to pay the toll tax using them mobiles and simply scan generated QR code on toll plaza. The proposed system provides fast result as compare to traditional systems. Thus, the vehicles won’t have to stop at toll plaza to pay toll which would save the time and efforts and reduces long queues on toll plaza and traffic.

Published by: Manasi Patil, Vrushali Pawar, Priya Gunjal, Nandita Shama, Pravin Hole

Author: Manasi Patil

Paper ID: V7I3-1378

Paper Status: published

Published: May 19, 2021

Full Details
Research Paper

Design and optimization of Aluminium alloy wheel used in automobiles

Wheels are the main component of the car. The wheels with the tyre provide the better cushioning effect to the car without an engine car may be towed but without wheels, the car cannot be towed. The main requirement of the vehicle is it must be perfect to perform its all function. Reverse engineering is not a method to redesign the old component. The wheels have to pass the different test for best performance like static and vibration analysis etc. design is an important manufacturing activity which provides the quality of the product the 3-D model of alloy wheel design using the technology reverse engineering and CATIA V5 software and further, it was imported to ANSYS. The static fatigue and dynamic analysis were performed. This was constrained in all degrees of freedom at the bolt. Similarly based on the weight, the thickness of the rim and spoke are varied to attain different mos. Also changing the number of spoke wheel models is prepared and analysis is done. From the analysis done in the project, it can be concluded that the wheel made of magnesium alloy is better as compared to Al alloy1 wheels. As the stresses developed in the magnesium wheel are less as well1 as the S-N1 curve of the Mg wheel is better under load condition.

Published by: Lakhan Suryawanshi, Gaikwad S. M., Kulkarni P. D.

Author: Lakhan Suryawanshi

Paper ID: V7I3-1374

Paper Status: published

Published: May 19, 2021

Full Details
Research Paper

Mechanical Characterization of Al 8011 Aluminium alloy reinforced with Silicon carbide and fly ash

Aluminium metal matrix composites are gaining widespread acceptance for automobile, aerospace, agriculture farm machinery, defence sector and many other industrial applications because of their essential properties such as high strength, low density, good wear resistance, ease of production and adaptability to modification compared to any other metal. The present study deals with the addition of reinforcements such as fly ash, silicon carbide to the Aluminium matrix in various proportions. Each reinforced material has an individual property which when added improves the properties of the base alloy. An effort has been made to review the different combinations of the composites and how they affect the properties of the different alloys of aluminium. Comprehensive knowledge of the properties is provided in order to have an overall study of the composites and the best results can be employed for the further development of the Aluminium reinforced composed. The investigation shows that Al metal matrix composites can be replaced with other conventional metals for better performance and longer life

Published by: Devanathan G., Dineshkumar G., Ganesan R., Hariharan A., Dr. S. Thirunanam

Author: Devanathan G.

Paper ID: V7I3-1373

Paper Status: published

Published: May 19, 2021

Full Details
Research Paper

Design and implementation of panic alarm during disaster in extreme situations using Proteus Software

This paper presents the design and implementation of panic alarm used in this project during disaster in extreme situations. It is used for observing of sudden problems which can come from different types of natural as well as man-made disaster. The aim of this project is to observe the different emergencies and to locate the place through panic alarm device. The stimulation has also been done by using proteus software.

Published by: Shuvam Shaw, Deshna Chowdhury, Diksha Yadav, Priti Kumari Ranjana, Sangita Roy

Author: Shuvam Shaw

Paper ID: V7I3-1369

Paper Status: published

Published: May 19, 2021

Full Details
Research Paper

Neural Networks based solution for Door Automation

Face Recognition is one of the most common biometric strategies which has gained popularity because of the accuracy and security. This paper presents the implementation of a Convolution Neural Network architecture for door automation. This model is devised to overcome the disadvantages of a traditional door system and other methods such as door automation using Bluetooth, figure prints, passwords, or retinal scans. It allows the authorized people to gain access to the house by face recognition. The proposed system makes use of convolution neural network architectures and RaspberryPi. The ResNet architecture [6] is used to implement face recognition and runs on RaspberryPi. The images of the residents of the house will be used to train the model. If the person is a resident of the house, the face will be recognized and the lock will open, else it will be recognized as a human and an alarm will ring and an email alert consisting of the image of the person in front of the door will be sent to the owner. It has numerous advantages as it is user-friendly especially for senior citizens, lesser maintenance, does not require the residents to carry the keys, and reduces the threat of robbery

Published by: Monalika Padma Reddy

Author: Monalika Padma Reddy

Paper ID: V7I3-1361

Paper Status: published

Published: May 19, 2021

Full Details
Research Paper

A comparative analysis of interior-point methods in convex optimization

Interior point methods or sometimes called Barrier methods are a class of optimization algorithms that are useful in solving inequality constrained linear or nonlinear programming problems. The optimization problem with inequality constraint is solved by using the Newtons method by converting it into series of equality constraints or KKT conditions. This paper presents the comparative study of the classical logarithmic barrier method and the primal-dual interior-point method along with their convergence analysis. A kernel function-based interior point method for second-order cone problems is also examined. The computational complexity of the algorithms is also discussed along with the implementation issues.

Published by: Mohd Aquib

Author: Mohd Aquib

Paper ID: V7I3-1347

Paper Status: published

Published: May 19, 2021

Full Details
Request a Call
If someone in your research area is available then we will connect you both or our counsellor will get in touch with you.

    [honeypot honeypot-378]

    X
    Journal's Support Form
    For any query, please fill up the short form below. Try to explain your query in detail so that our counsellor can guide you. All fields are mandatory.

      X
       Enquiry Form
      Contact Board Member

        Member Name

        [honeypot honeypot-527]

        X
        Contact Editorial Board

          X

            [honeypot honeypot-310]

            X