Browsing by Author "Mahapatra, R.K."

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3D-Printing Technology: A Review
(Institute of Electrical and Electronics Engineers Inc., 2024) Mahapatra, R.K.; Kaliyath, Y.; Shet, N.S.V.; Satapathi, G.S.; Mahapatro, S.R.; Lakshmu Naidu, M.L.
The process of digital fabrication, commonly known as 3D printing, involves gradually adding materials to a geometric representation to produce actual items. The advantages of 3D printing for industrial use include little material waste, simple manufacturing, minimal human participation, minimal post-processing, and energy efficiency. In this study, we provide insights on the development of 3D printing, its history, current state, uses, and potential future directions. There is a detailed explanation of various materials that work with each sort of 3D printing procedure. Â© 2024 IEEE.
A survey on wireless sensor network (applications and architecture)
(Inderscience Publishers, 2024) Mahapatra, R.K.; Kaliyath, Y.; Shet, N.S.V.; Mahapatro, S.R.; Satapathi, G.S.; Prusty, S.B.; Patro, B.S.
Proliferation of the wireless sensor network is due to the advancement in wireless networks, information technologies, miniaturisation of sensors as well as convergence of MEMS technology, wireless communication and digital electronics. These wireless networks interface the physical world to the computing (virtual) world. In recent years, the availability of smaller, cheaper and intelligent sensors on a large scale has motivated the deployment of sensors in various applications such as smart city, smart home, smart grid, automated vehicles, etc. The sensor plays an important role in internet of things. This survey reports current research activities, applications, characteristics, architecture and case study of WSNs. In addition to this open research issues/problems are discussed. The aim is to present a comprehensive study of the literature on several aspects of wireless sensor network such as application and architecture. © 2024 Inderscience Enterprises Ltd.
Analysis of Modulation schemes Using Rayleigh and AWGN channel for wireless sensor nodes in Internet of Things
(Institute of Electrical and Electronics Engineers Inc., 2023) Mahapatra, R.K.; Shet, N.S.V.; Satapathi, G.S.; Patro, B.S.; Satapathy, D.
Constraints of energy in a wireless sensor network has become a critical issue as almost all the nodes are battery driven. Hence energy is limited. Hence optimization of energy is a critical factor for the sensor node's lifetime. Here we have considered the asymmetric method of communication that uses different modulation schemes with error correcting codes for up-link and down-link communication. We evaluate and compare two extensively used error correcting codes, Hamming and Reed-Solomon (RS) codes, together with well-known modulation schemes, including QAM, M-FSK, M-PSK, and BPSK. This paper makes use of the relation between Signal to noise ratio (SNR) and bits per symbol towards modelling and analysis purposes. Â© 2023 IEEE.
Compact wideband microstrip circular patch antenna for 6G application
(Institute of Electrical and Electronics Engineers Inc., 2023) Mahapatra, R.K.; Shet, N.S.V.; Satapathi, G.S.; Manjukiran, B.; DImri, P.; Shetty, A.N.; Shettigar, S.; Patro, B.S.; Senapati, A.; Srichandan, R.
In order to create an antenna with a wide band range, the work provided in this paper displays the parametric analysis for the circular patch antenna designs. Microstrip line in the 50 ohm range is used in the developed antenna. To achieve it, three proposed designs were put forth, out of which design2 achieves a broadband of below -10dB return loss range from 20.33 to 47.11 GHz with a bandwidth of 26.78 GHz towards 6G. The HFSS (High Frequency Structure Simulator) is used on intel core i5, 8 GB RAM, Windows 11 to simulate the suggested antenna designs. Â© 2023 IEEE.
Critical Review on Heart Disease Prediction: A Machine Learning Approach
(Institute of Electrical and Electronics Engineers Inc., 2023) Mahapatro, S.R.; Mahapatra, R.K.; Shet, N.S.V.; Prusty, S.B.; Satapathi, G.S.; Manjukiran, B.; Reddy, G.; Chandana, O.; Divya, N.; DImri, P.
The heart is the second-most significant organ in the human body after the brain, which is the most significant organ. All of the body's organs are nourished and the blood is circulated. In the medical field, it might be difficult to anticipate the development of heart diseases. Data analytics is crucial for developing predictions based on new information, and it helps hospitals predict diseases. Every year, cardiovascular diseases account for more than 31 % of all fatalities globally. Different Machine learning algorithms are in this paper to predict heart disease. It presents a general overview of the previous work and offers insight into the current algorithm. Â© 2023 IEEE.
Design and Analysis of Microstrip Wideband Filter
(Institute of Electrical and Electronics Engineers Inc., 2023) Mahapatra, R.K.; Kaliyath, Y.; Shet, N.S.V.; Satapathi, G.S.; Manjukiran, B.; DImri, P.; Shetty, A.N.; Srichandan, R.; Patro, B.S.; Senapati, A.
This paper deals with the study on conventional wideband bandpass filter (BPF) and the bandpass filter designed using the split ring resonator structure. The proposed design using the SRR consists of 3 SRR on which the filter is mounted. This is designed using the HFSS software. The material with in the dielectric constant of 4.36 and the loss tangent of 0.01 is used for the substrate material. The substrate height is varied with the dimension of 4.9 x 2.9 kept constant. The result observed for the BPF on SRR with increase substrate height has shown better results better return loss characteristics as compared to the other design. Â© 2023 IEEE.
Experimental analysis of RSSI-based distance estimation for wireless sensor networks
(2016) Mahapatra, R.K.; Shet, N.S.V.
Research in Wireless Sensor Networks (WSNs) has revealed the location information of the sensor nodes seems to be the critical and the most important aspect, for the applications like environment monitoring, object tracking, health care etc. Estimation accuracy is needed in these kind of applications. In general, Signal strength decreases with the increase in distance. Hence the correlation that exists between the RSSI (Received Signal Strength Indication) value and distance is the key parameter for the ranging and localization of WSNs. This paper presents a model based on RSSI, which provides the distance estimation between sensor nodes in WSNs. Analysis of the model and performance evaluation is done in a real system, deployed in indoor environment using IRIS mote. Results of these evaluation would help to achieve accuracy in location estimation of WSNs. � 2016 IEEE.
Experimental analysis of RSSI-based distance estimation for wireless sensor networks
(Institute of Electrical and Electronics Engineers Inc., 2016) Mahapatra, R.K.; Shet, N.S.V.
Research in Wireless Sensor Networks (WSNs) has revealed the location information of the sensor nodes seems to be the critical and the most important aspect, for the applications like environment monitoring, object tracking, health care etc. Estimation accuracy is needed in these kind of applications. In general, Signal strength decreases with the increase in distance. Hence the correlation that exists between the RSSI (Received Signal Strength Indication) value and distance is the key parameter for the ranging and localization of WSNs. This paper presents a model based on RSSI, which provides the distance estimation between sensor nodes in WSNs. Analysis of the model and performance evaluation is done in a real system, deployed in indoor environment using IRIS mote. Results of these evaluation would help to achieve accuracy in location estimation of WSNs. Â© 2016 IEEE.
High notch microstrip antenna array at Ka band
(Institute of Electrical and Electronics Engineers Inc., 2023) Mahapatra, R.K.; Kaliyath, Y.; Satapathi, G.S.; Shet, N.S.V.; Patra, J.P.; Manjukiran, B.; Rai, S.J.; Athmiya Raj, A.G.; Durgesh; Rai, H.
This paper presents the experimental research and design for microstrip patch array antenna which resonates in Ka band. The proposed design consists of 4 microstrip rectangular patches. HFSS software is used for the simulation and analysis with four candidate structure. A material having a dielectric constant of 4.36 is used for the substrate material with the low loss tangent of 0.01. The dimension of the patches are varied to achieve better result. Design of all the antenna were within the range of 28 to 40 GHz. Designed Antenna exhibit the bandwidth range within 2.925 GHz to 7.7 GHz. By adjustment of the size of the patch i.e length, width and height, an appreciable gain within 9.62 dB to 9.98 dB was observed within the proposed design. The proposed antenna array will be able to scaled to a larger radiating structure. Â© 2023 IEEE.
Localization Based on RSSI Exploiting Gaussian and Averaging Filter in Wireless Sensor Network
(Springer Verlag, 2018) Mahapatra, R.K.; Shet, N.S.V.
The primary focus in this paper is on position estimation of an unknown sensor node in indoor environment. Received signal strength (RSS)-based algorithm was used for position estimation in which Gaussian filter and averaging filter were used for distance estimation, and for localization, trilateration and least square estimation were used. IRIS motes from MEMSIC were used for the experiments and were configured in real time to record the RSSI. Effect on distance estimation and localization was studied in indoor environment by conducting several experiments. Simulation results show that the proposed sensor selection, distance estimation based on RSSI as well as localization method helps in improving accuracy of position estimation in different environmental conditions. © 2017, King Fahd University of Petroleum & Minerals.
Topology Control in Wireless Sensor Networks: A Survey
(Springer, 2019) Mahapatra, R.K.; Shet, N.S.V.
Topology control is found to be a prominent strategy, to prolong the lifetime of WSNs. It helps to control the power consumption of the sensor nodes. In this paper, topology construction and topology maintenance are taken into account as a part of review of topology control. Topology construction algorithms encompass to frame the reduced form of topology. Topology maintenance helps in providing a reduced topology intermittently, as soon as the current topology becomes no longer optimum. Simulation results demonstrate that sensor node battery lifetime can be prolonged by the appropriate use of topology control. © 2019, Springer Nature Singapore Pte Ltd.