Journal of Mobile Computing, Communications & Mobile Networks
Volume 6, Issue 1 (2019)
Published
Table of contents
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Prediction of Likelihood of Contraceptive Method among Women using Machine Learning Techniques
Abstract: This paper presents the various machine learning techniques and early fusion approach for analyzing usage of contraceptive methods among women. The analysis has been done using various nine features that the usage of contraceptive among women is whether low, high or not at all. This paper also evaluates the effect of contraceptive prediction is affected by men, age, and religion. Finally, comparison of classification accuracy has been employed between 22 …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 6, Issue 1, 2019 · pp. 1–6 Read article
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Printed Circularly Polarized P-Shaped Patch Antenna for Wireless Communication Application
Abstract: In this paper, a study of wide band partially grounded printed polarized P-shaped microstrip patch antenna design fed by microstrip feed line. This design is considered for the improvement of axial ratio bandwidth. For defecting the ground plane, a rectangular shaped plane has been etched from the upper half of the ground plane to improve the axial ratio bandwidth (ARBW) and impedance bandwidth (IBW). For the improvement of the ARBW, …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 6, Issue 1, 2019 · pp. 18–22 Read article
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T-Shape Antenna with Defected Ground for 5G Applications
Abstract: In this paper, for 5G cellular applications, a novel microstrip patch antenna with high gain and wide bandwidth MMW frequencies is presented. The antenna is designed as single T-shaped radiating patch on the top layer of substrate and for improving the bandwidth and return loss characteristics, partial ground is incorporated on the bottom plane. A 50Ω matched lumped port is used for the feeding. In addition, the proposed antenna is …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 6, Issue 1, 2019 · pp. 23–27 Read article
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Automatic Image Description Generation Using Deep Learning Techniques
Abstract: Automatic Image Description Generation methods are extremely useful for image retrieval, search and organization. Previous approaches either use the existing labelled dataset to compose sentences or compose a new description for the test image by exploiting available descriptions of the training images. In practice these methods have limited accuracy, hence if the most important objects in an image cannot be identified, then they cannot generate valid description. Another difficulty lies …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 6, Issue 1, 2019 · pp. 28–37 Read article
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Digital Home Workout Assistant using Kinect and Unity
Abstract: Nowadays, people’s lifestyle becomes fast and growing and also each and every people desire to look young and live healthily. This phenomenon has caused people to blindly follow fitness trends without proper cognition. It may lead to serious injuries or other side effects. The main prominence of this system is to assist society by monitoring and guiding proper exercise posture, which rectifies their well-being. This paper is about Kinect based …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 6, Issue 1, 2019 · pp. 7–17 Read article