Academic Year 2018-2019  

  • Title :- Application of Gray Level Co-occurrence Matrix as a feature extraction technique to monitor wear of cutting tool
    Paper:- presented and published
    Level :- international

    By: mr. prashant ambadekar
    Organizer :- EQUINOX 2018: 4th International Conference on Engineering Confluence at Terna College of Engineering
    Venue :- Terna College of Engineering
    Date: 27/09/2019

    The traditional methods make use of sensors to monitor the wear of a cutting tool. The application of digital image processing in determining tool wear is gaining importance. GLCM is the most widely used higher order statistical technique for feature extraction to monitor tool wear. Contrast and homogeneity has been proved as the two best texture descriptors of GLCM. The accuracy of GLCM largely depends on the orientation of the pixels considered to obtain these descriptors. This paper presents the effect of varying pixel pair spacing (pps) and pixel pair direction (ppd) on contrast and homogeneity. An attempt is made to provide one of the solutions to consider the orientation of the pixels while computing GLCM.


  • Title :- Intelligent Hiring with Facial Expression Detection and Report Generation
    Paper:- presented and published
    Level :- international

    By: ms. kalyani pampattiwar
    Organizer :- Journal of Applied Science and Computations(JASC)
    Venue :- New Delhi
    Date: 01/05/2019

    €Intelligent Hiring with Facial Expression Detection and Report Generation”, JASC, Volume VI, Issue V, May/2019, ISSN NO: 1076-5131


  • Title :- THE NEXTGEN BOT
    Paper:- presented and published
    Level :- international

    By: ms. kalyani pampattiwar
    Organizer :- Journal of Applied Science and Computations(JASC)
    Venue :- New Delhi
    Date: 01/04/2019

    €THE NEXTGEN BOT” JASC, Volume VI, Issue IV, April/2019, ISSN NO: 1076-5131, Page No:3661


  • Title :- Enhancing manufacturing of semi-conductors by predicting potential performance using an intelligent system.
    Paper:- presented and published
    Level :- international

    By: dr. pradip patil
    Organizer :- Guru Nanak Institutions, Hydrabad, Telangana, India.
    Venue :- rd International Conference On Innovations In Mechanical Engineering,GNI
    Date: 10/01/2019

    A modern manufacturing process is normally under constant surveillance by monitoring the variable and signals (if any) collected from process estimation points and sensors. However, all of these signals may not be useful in monitoring a specific system. The measured signals contain a combination of useful information, irrelevant information as well as some amount of noise. Very often, we find that useful information is buried in the latter two. Engineers typically have a much larger number of signals than are actually required. If we consider each type of signal as a feature, then dimension reduction/feature selection may be applied to identify the most relevant signals. In this paper, we will see how we can determine whether semi-conductors will pass or fail in a house line test, by extracting the most important features obtained during the manufacturing of the semi-conductors, and then evaluating their performance. This will enable an increase in process throughput, decreased time to learning, and reduce the per unit production costs.


  • Title :- Application of Gabor Filter for Monitoring Wear of Single Point Cutting Tool
    Paper:- presented and published
    Level :- international

    By: mr. prashant ambadekar
    Organizer :- rtip2r2018: The Second International Conference on Recent Trends in Image Processing & Pattern Recognition at Solapur University
    Venue :- Solapur University, Solapur
    Date: 21/12/2018

    Tremendous use of sophisticated computer aided manufacturing systems necessitates monitoring of tools. Monitoring of tools facilitates to reduce machine tool downtime, increases quality of the product, provide better surface finish and reduces cost. Sophisticated digital image processing algorithms and availability of high resolution cameras has enabled automated monitoring of tools. To exactly predict the tool wear is a challenging task due to its complexity involved in the algorithm that facilitates extraction of features. In this paper, tool wear monitoring through texture feature extraction using Gabor filter is presented. Gabor filter has demonstrated better multi-resolution properties that facilitate texture feature extraction. Statistical parameters such mean, standard deviation, variance, skew and kurtosis are calculated to measure the tool wear. Experimental results demonstrate better tool wear prediction as compared to other algorithms.


  • Title :- Evaluation of Metal Scrap based Composites
    Paper:- presented and published
    Level :- international

    By: mr. ganesh kadam
    Organizer :- Techno Societal - SVERI's COE Pandharpur
    Venue :- SVERI’s College of Engineering Pandharpur, Solapur
    Date: 14/12/2018

    Ganesh S. Kadam, Swapnil T. Firake, Evaluation of Metal Scrap based Composites, Proceedings (Springer) of 2nd International Conference on Advanced Technologies for Societal Applications (2018) – Techno-Societal 2018, 14-15th December 2018, SVERI’s College of Engineering Pandharpur, Solapur, Maharashtra, India.


  • Title :- Technology Enhanced Learning (TEL) Environment to Develop Expansionist-Reductionist (ER) Thinking Skills through Software Design Problem Solving.
    Paper:- presented and published
    Level :- international

    By: dr. deepti patil
    Organizer :- IIT Madras
    Venue :- IIT Madras
    Date: 13/12/2018

    IEEE Tenth International Conference on Technology for Education (T4E), 2018.


  • Title :- A smart and prognostic approach to park vehicles using IOT
    Paper:- presented and published
    Level :- international

    By: ms. kalyani pampattiwar
    Organizer :- Journal of Applied Science and Computations(JASC)
    Venue :- New Delhi
    Date: 01/12/2018

    € A smart and prognostic approach to park vehicles using IOT”, JASC, Volume V, Issue XII, Dec 2018, DOI: 16.10089/JASC


  • Title :- Smart Intelligent system for Women and Child security
    Paper:- presented and published
    Level :- international

    By: mr. sunil punjabi
    Organizer :-
    Venue :- Vancouver, BC, Canada
    Date: 03/11/2018

    Presented and published paper "Smart Intelligent system for Women and Child security" IEEE 9th Annual Information Technology, Electronics, and Mobile communication Conference, 1-3 Nov 2018 at Vancouver, BC, Canada.


  • Title :- Smart Intelligent system for Women and Child security
    Paper:- presented and published
    Level :- international

    By: ms. suvarna chaure
    Organizer :-
    Venue :- Canada
    Date: 01/11/2018

    IEEE 9th Annual Information Technology, Electronics, and Mobile communication Conference at Vancouver, BC, Canada.


  • Title :- Lean - Green - Six Sigma approach in global manufacturing using Industry 4.0”
    Paper:- presented and published
    Level :- international

    By: prof. lokpriya gaikwad
    Organizer :- IIIE
    Venue :- Bhubaneshwar, India
    Date: 27/09/2018

    Presented an integrated Lean - Green - Six Sigma approach in global manufacturing using Industry 4.0 in current scenario.


  • Title :- Role of Lean Manufacturing practices in Greener production: A way to reach Sustainability
    Paper:- presented and published
    Level :- international

    By: prof. lokpriya gaikwad
    Organizer :- IIIE
    Venue :- Bhubaneshwar, India
    Date: 27/09/2018

    Role of Lean Manufacturing practices in Greener production to attain the organizational goal of sustainability.


  • Title :- Improving quality of service of WSN network by dada Aggrigation
    Paper:- presented and published
    Level :- international

    By: ms. priyanka kadam
    Organizer :- 4th International Conference On Engineering Confluence & Inauguration of Lotfi Zadeh Center of Excellence in Health Science And Technology (LZCODE) – EQUINOX 2018
    Venue :- Terna Engineering college, Nerul
    Date: 26/09/2018

    Data aggregation is a very crucial technique in WSNs. Data aggregation helps in reducing the energy consumption by eliminating redundancy. Currently, most of the existing works focus on constructing DATs according to different user requirements under the Deterministic Network Model (DNM).due to the existence of many probabilistic lossy links in WSNs so the current work which spend lots of efforts on aggregation, so we mainly focus on DAT construction problem. The proposed, we focus on constructing a LoadBalanced Data Aggregation Tree (LBDAT) under the PNM, we define two new metrics potential load, and actual load. First we identify MIS(Independent nodes with respect to the root node) and connected MIS (Connecting Nodes). Finally, we calculate Load-Balanced Parent Node Assignment (LBPNA) structure by identifying links to be used across neighbouring nodes. The tree structure identified here will be utilized for communication across the leaf and root node of the network.


  • Title :- Kinematic Synthesis of Overlay Welding Station Of Elbow
    Paper:- presented and published
    Level :- international

    By: dr. pradip patil
    Organizer :- Terna college of Engineering
    Venue :- Terna college of Engineering
    Date: 26/09/2018

    The purpose of this paper is to find the trajectory of serial manipulator for clad welding for an inside surface of an elbow.


  • Title :- A survey of non local means image denoising technique and its variants
    Paper:- presented and published
    Level :- international

    By: ms. swati rane
    Organizer :-
    Venue :- NIE Institute of Technology, Mysore, Karnataka
    Date: 21/09/2018

    International Conference on Innovations in Engineering , Technology and Sciences


  • Title :- Public auditing for shared data in cloud storage with an effective user dismissal
    Paper:- presented and published
    Level :- international

    By: mrs. samundiswary srinivasan
    Organizer :- Dept of E & TC Engineering,DBATU
    Venue :- Dr.Babasaheb Ambedkar Technology University,Lonere-maharashtra
    Date: 06/01/2018

    Cloud computing security-pucblic auditing