Manuscripts

Recent Papers

Research Paper

Agricultural drone interaction tank interface

Application of crop protection materials is one of the crucial operations in agriculture to meet ever demanding food production. The drone mounted sprayer mainly consists of BLDC motors, LiPo (Lithium Polymer) batteries, pesticide tank, pump, and supporting frame. Six BLDC motors were mounted to the hexa-copter frame to lift of 1 kg payload capacity. One LiPo batteries of 3 cells -5200mAh were used to supply the necessary current required for the propulsion system. A 1-liter capacity conical-square shaped fluid tank was used to hold the pesticide solution.

Published by: Aaditi Avinash Patil

Author: Aaditi Avinash Patil

Paper ID: V5I3-1923

Paper Status: published

Published: June 19, 2019

Full Details
Research Paper

Bidirectional Z-Source converter with hybrid system fed PMDC motor for electric vehicles

The bidirectional DC-DC converters have been widely used in micro-grids, renewable energy systems, electric vehicles and other applications to ensure the power flows from and to, or between various energy storage devices. Energy storage systems have been a major research area in which battery is one of the most widely used. A new battery ultra-capacitor hybrid energy storage system is proposed for electric vehicles. The main objectives of using ultra-capacitors alongside battery is to improve the performance, increase the system efficiency and extend the battery life. In many applications, conventional bidirectional converters are inadequate since the specified range of input voltages and the specified range of output voltages call for an extremely large range of conversion ratios. A new bidirectional z- source converter with high voltage gain in both step-down and step-up operation modes is used here. In this work, an Ultra Capacitor is integrated with the battery in an Electric Vehicle using the new bidirectional converter to improve the dynamic performance of the vehicle system and enhancing the battery life. The simulation work is carried out using MATLAB/SIMULINK R2015 software. Hardware is made and the control strategy is implemented using TMS320F28027.

Published by: Muhsina P. Hameed, Babu Thomas, Neema S.

Author: Muhsina P. Hameed

Paper ID: V5I3-1909

Paper Status: published

Published: June 19, 2019

Full Details
Thesis

Optimization of virtual machines in cloud environment

Emergence of cloud computing has facilitated the provisioning of computing resources in an on-demand basis that can be swiftly allocated, released and reallocated with minimum management effort and cost. One important element of cloud is the virtual machine which encapsulates business services and acts as a resource carrier. An important task of cloud computing is to find an optimal placement scheme that can map the virtual machines to physical machines. With the increasing prevalence of large scale cloud computing environments, how to efficiently place VMs into available computing servers has become an essential research problem. This research works presents a Virtual Machine Placement and Load Rebalancing Based on Multi-Dimensional Resource Characteristics in Cloud Computing Systems (VMP-LR) to improve the efficiency of VM placement

Published by: Rishabh Narayan Parasar

Author: Rishabh Narayan Parasar

Paper ID: V5I3-1926

Paper Status: published

Published: June 18, 2019

Full Details
Review Paper

Multiple components detection in motherboard using Mask R-CNN

Object detection is one of the main requirements during motherboard assembly process, especially when using SMT technology. Human fatigue is the major cause of error making while manual inspection. The grasp success rate will enhance if robot can get exact position of objects than relative to the end manipulator. With the advent of deep learning techniques the accuracy for object detection has increased drastically. A major challenge in many of the object detection systems is the dependency of other computer vision techniques for helping the deep learning based approach, which will lead to the slow and non-optimal performance. In this project a completely deep learning based approach to solve the problem of object detection in an end-to-end fashion. The method, called Mask R-CNN, extends Faster R-CNN by adding a branch for predicting an object mask in parallel with the existing branch for bounding box recognition. The model developed with a pre-trained model ResNet 101 and data collected from Computer Vision Lab. Mask R-CNN is easy to generalize to other tasks and also it shows better results with COCO dataset for instance segmentation, bounding box object detection and person key point detection.

Published by: Kripa Radhakrishnan, Chaithanya C., Priya S.

Author: Kripa Radhakrishnan

Paper ID: V5I3-1922

Paper Status: published

Published: June 18, 2019

Full Details
Review Paper

Literature review on depth estimation using a single image

Depth estimation is an important component of understanding geometric relations within a scene. Different depth estimation techniques using a single image are analyzed in this survey paper. Depth estimation from a single image is often described as an ill-posed and inherently ambiguous problem. Recovering depth information in applications like 3D modeling, robotics, autonomous driving, etc. is more important when no other information such as stereo images, optical flow, or point clouds are unavailable. For the task of depth estimation using single images, learning based methods have shown very promising results.

Published by: Vyshna R. K., Dr. Priya S.

Author: Vyshna R. K.

Paper ID: V5I3-1917

Paper Status: published

Published: June 18, 2019

Full Details
Research Paper

An exploratory study to assess the stress and coping pattern among the employees of insurance company at Gwalior (M. P.)

An exploratory study to assess the stress and coping pattern among the employees of insurance company at Gwalior (M.P). To assess the levels of stress among the employees of insurance company. To assess the coping pattern among the employees of insurance company. To find out the relationship between the stress and coping pattern among the employees of insurance company. To find out the relationship of stress level with variables such as age Religion, education, type of family, marital status, head of family and economic status. To find out the relationship of coping pattern with variables such as age, religion, education, type of family, marital status, head of family and economic status. For the present study exploratory approach was considered appropriate. The purposive sampling method was adapted to collect the sample. Majority of employees have moderate stress (95%) and (5%) have mild stress. Majority of employees in insurance company have positive coping pattern (82%) and (18%) have negative coping pattern. Relationship between stress and coping pattern among employees of insurance company was having negative correlation (-.142) and statistically non-significant. The employees from selected insurance company have positive coping pattern as there age advances. The findings were also statistically significant at p level. The employees from joint family have positive coping pattern as compared to nuclear and extended family. These findings were also statistically significant at p level. The employees who are head of the family their coping pattern was negative as compare to others. These findings were also statistically significant at p level. Those employees who are (separated, divorced, spouse not living, spouse living) clubbed together as separated, had positive coping pattern as compared to married. These findings were also statistically significant at p level. The employees with adequate economic status their coping pattern was positive as compared to those who have inadequate economic status. These findings were also statistically significant at p level.

Published by: Neetu Bhadouriya, Vijay Laxmi Verma

Author: Neetu Bhadouriya

Paper ID: V5I3-1908

Paper Status: published

Published: June 18, 2019

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