Browsing by Author "Satapathi, G.S."
Now showing 1 - 17 of 17
- Results Per Page
- Sort Options
Item 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. © 2024 IEEE.Item A high speed complementary pulse compressor and its implementation of FPGA(Institute of Electrical and Electronics Engineers Inc., 2017) Kumar, K.N.L.; Srihari, P.; Satapathi, G.S.; Sharma, G.V.K.This paper proposes a novel high speed radar pulse compressor implementation for complementary sequences. The high speed implementation is accomplished by incorporating the retiming technique to reduce the critical path of the circuit. In addition, unfolding the retimed pulse compressor further increases the speed by parallel operation. This concept is implemented on field programmable gate array (FPGA) and the experimental results demonstrate that, three-retimed-unfolded circuit (J = 3) is 2.78 times faster than the original circuit. © 2017 IEEE.Item 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.Item All neighbor fuzzy relational data association for multitarget tracking in the presence of ECM(2017) Satapathi, G.S.; Srihari, P.This paper proposes a novel data association approach based on fuzzy relational clustering for multi target tracking in the presence of electronic counter measures (ECM). Likelihood values and similarity index are calculated for each observation obtained from radar. Expectation maximization technique is applied to obtain possibility association matrix. Simulation results demonstrate that, proposed method performs better, when compared to conventional joint probability association (JPDA) and fuzzy clustering (FCM) approaches in terms of position and velocity root mean square error (RMSE). Further, current approach yielded average reduction of 50.5% and 35.5% for position and velocity RMSE values respectively in case of linear crossing targets. � 2016 IEEE.Item All neighbor fuzzy relational data association for multitarget tracking in the presence of ECM(Institute of Electrical and Electronics Engineers Inc., 2017) Satapathi, G.S.; Srihari, P.This paper proposes a novel data association approach based on fuzzy relational clustering for multi target tracking in the presence of electronic counter measures (ECM). Likelihood values and similarity index are calculated for each observation obtained from radar. Expectation maximization technique is applied to obtain possibility association matrix. Simulation results demonstrate that, proposed method performs better, when compared to conventional joint probability association (JPDA) and fuzzy clustering (FCM) approaches in terms of position and velocity root mean square error (RMSE). Further, current approach yielded average reduction of 50.5% and 35.5% for position and velocity RMSE values respectively in case of linear crossing targets. © 2016 IEEE.Item 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. © 2023 IEEE.Item Analysis of real-time tracking filters implementation in FPGA(2019) Haritha, G.; Aparna, P.; Srihari, P.; Satapathi, G.S.This paper presents real time tracking hardware based on field programmable gate arrays (FPGA). Traditionally, tracking system is simulated in MATLAB environment and an equivalent hardware description language (HDL) code is written for FPGA. But, in this paper a simulated and verified MATLAB code is directly converted into HDL which is used in FPGA. This method improves the efficiency of the real time tracker and flexibility in usage of FPGA. Moreover, the simulated and hardware outputs will be consistent. Three types tracking algorithm namely Kalman filter (KF), extended Kalman filter (EKF), and ??? filter are implemented to validate the proposed approach. � 2018 IEEE.Item Analysis of real-time tracking filters implementation in FPGA(Institute of Electrical and Electronics Engineers Inc., 2018) Haritha, G.; Aparna., P.; Srihari, P.; Satapathi, G.S.This paper presents real time tracking hardware based on field programmable gate arrays (FPGA). Traditionally, tracking system is simulated in MATLAB environment and an equivalent hardware description language (HDL) code is written for FPGA. But, in this paper a simulated and verified MATLAB code is directly converted into HDL which is used in FPGA. This method improves the efficiency of the real time tracker and flexibility in usage of FPGA. Moreover, the simulated and hardware outputs will be consistent. Three types tracking algorithm namely Kalman filter (KF), extended Kalman filter (EKF), and αβγ filter are implemented to validate the proposed approach. © 2018 IEEE.Item 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. © 2023 IEEE.Item 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. © 2023 IEEE.Item 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. © 2023 IEEE.Item 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. © 2023 IEEE.Item A high speed complementary pulse compressor and its implementation of FPGA(2017) Kumar, K.N.L.; Srihari, P.; Satapathi, G.S.; Sharma, G.V.K.This paper proposes a novel high speed radar pulse compressor implementation for complementary sequences. The high speed implementation is accomplished by incorporating the retiming technique to reduce the critical path of the circuit. In addition, unfolding the retimed pulse compressor further increases the speed by parallel operation. This concept is implemented on field programmable gate array (FPGA) and the experimental results demonstrate that, three-retimed-unfolded circuit (J = 3) is 2.78 times faster than the original circuit. � 2017 IEEE.Item Rough fuzzy joint probabilistic association fortracking multiple targets in the presence of ECM(Elsevier Ltd, 2018) Satapathi, G.S.; Srihari, P.A novel rough fuzzy joint probabilistic data association algorithm (RF-JPDA) is presented to improve the performance of multitarget tracking in the presence of clutter, electronic countermeasures (ECM) and false alarms. The possibility data association matrix is evaluated by applying upper and lower approximations of validated measurements which are obtained from the radar. Four case studies are taken to validate the proposed data association algorithm. The proposed technique performance has been compared with conventional joint probabilistic data association filter (JPDA), fuzzy clustering means (FCM), and fuzzy Genetic Algorithm (Fuzzy-GA) approaches. A hybrid data association approach is formulated and examined for multi-target tracking using intelligent technique. Further, it is evident from the experimental results that RF-JPDA approach is providing enhanced performance in terms of position root mean square error (RMSE), velocity RMSE and execution time for all cases. The average position and velocity RMSE of RF-JPDA are 42.3% and 16.98% less when compared to conventional JPDA. Thus accomplishing novel and effective multiple target tracking algorithm based on expert systems. © 2018 Elsevier LtdItem Soft and evolutionary computation based data association approaches for tracking multiple targets in the presence of ECM(Elsevier Ltd, 2017) Satapathi, G.S.; Srihari, P.This paper proposes two novel soft and evolutionary computing based hybrid data association techniques to track multiple targets in the presence of electronic countermeasures (ECM), clutter and false alarms. Joint probabilistic data association (JPDA) approach is generally used for tracking multiple targets. Fuzzy clustering means (FCM) technique was proposed earlier as an efficient method for data association, but its cluster centers may fall to local minima. Hence, new hybrid data association approaches based on fuzzy particle swarm optimization (Fuzzy-PSO) and fuzzy genetic algorithm (Fuzzy-GA) clustering techniques have been presented as robust methods to overcome local minima problem. The data association matrix is evaluated for all tracks using validated measurements obtained by phased array radar for four different cases applying four data association methods (JPDA, FCM, Fuzzy-PSO, and Fuzzy-GA). Therefore, two hybrid data association approaches are designed and tested for multi-target tracking using intelligent techniques. Experimental results indicate that Fuzzy-GA data association technique provides improved performance compared to all other methods in terms of position and velocity RMSE values (38.69% and 33.19% average improvement for target-1;31.17% and 9.68% average improvement for target-2) respectively for crossing linear targets case. However, FCM technique gives better performance in terms of execution time (94.88% less average execution time) in comparison with other three techniques(JPDA, Fuzzy-GA, and Fuzzy-PSO) for the case of linear crossing targets. Thus accomplishing efficient and alternative multiple target tracking algorithms based on expert systems. The results have been validated with 100 Monte Carlo runs. © 2017 Elsevier LtdItem STAP-Based Approach for Target Tracking Using Waveform Agile Sensing in the Presence of ECM(Springer Verlag, 2018) Satapathi, G.S.; Srihari, P.This paper proposes a space-time adaptive processing (STAP)-based approach to enhance the performance of single target tracking in the presence of strong interference. Waveform agile sensing approach is used to improve the performance. The waveform library consists of linear frequency modulation waveforms with varying pulse repetition frequency and pulse width. Multidimensional filtering approach of STAP is applied, to mitigate the clutter and jamming effect. A waveform is selected based on Cramer–Rao lower bound (CRLB) from a bank of waveforms for next scan so as to minimize the mean square error. Stand-off jammer is considered as an electronic counter measure technique. Interacting multiple model probabilistic data association filter is engaged to track single targets. It is evident from the simulation results that proposed approach accomplishes an average position RMSE 62.79 and 56.01% higher compared to CRLB for maneuvering target and benchmark trajectory-2, respectively. © 2017, King Fahd University of Petroleum & Minerals.Item Waveform agile sensing approach for tracking benchmark in the presence of ECM using IMMPDAF(Czech Technical University, 2017) Satapathi, G.S.; Srihari, P.This paper presents an efficient approach based on waveform agile sensing, to enhance the performance of benchmark target tracking in the presence of strong interference. The waveform agile sensing library consists of different waveforms such as linear frequency modulation (LFM), Gaussian frequency modulation (GFM) and stepped frequency modulation (SFM) waveforms. Improved performance is accomplished through a waveform agile sensing technique. In this method, the selection of waveform to be transmitted at each scan is determined, by jointly computing ambiguity function of waveform and Cramer-Rao Lower Bound (CRLB) matrix of measurement errors. Electronic counter measures (ECM) comprises of stand-off jammer (SOJ) and self-screening jammer (SSJ). Interacting multiple model probability data association filter (IMMPDAF) is employed for tracking benchmark trajectories. Experimental results demonstrate that, waveform agile sensing approach require only 39:98 percent lower mean average power compared to earlier studies. Further, it is observed that the position and velocity root mean square error values are decreasing as the number of waveforms are increasing from 5 to 50.