2021 IEEE 18th India Council International Conference (INDICON)最新文献_第2页

Ferrite PM-Assisted Synchronous Reluctance Motor for EV Application 电动汽车用铁氧体永磁辅助同步磁阻电动机

2021 IEEE 18th India Council International Conference (INDICON) Pub Date : 2021-12-19 DOI: 10.1109/INDICON52576.2021.9691573

Subhendu Mishra, B. Nayak, B. G. Fernandes

引用次数: 0

Outage Analysis for Drone Assisted Multi-user Coded Cooperation 无人机辅助多用户编码协作中断分析

2021 IEEE 18th India Council International Conference (INDICON) Pub Date : 2021-12-19 DOI: 10.1109/INDICON52576.2021.9691689

Pankaj Kumar, Sagnik Bhattacharyya, S. Darshi

{"title":"Outage Analysis for Drone Assisted Multi-user Coded Cooperation","authors":"Pankaj Kumar, Sagnik Bhattacharyya, S. Darshi","doi":"10.1109/INDICON52576.2021.9691689","DOIUrl":"https://doi.org/10.1109/INDICON52576.2021.9691689","url":null,"abstract":"In the next generation wireless networks/systems, Drone Assisted Network Coded Cooperation (DA-NCC) aims to improve the reliability as well as throughput of the network. In this paper, we consider Non-Line-of-Sight (NLoS) environments and develop the theoretical framework for DA-NCC system by considering height dependent path loss exponent. For analysing the network performance, Amplify-and-Forward (AF) is used at relay for processing the signals and Selection Combining (SC) is used at destination nodes for combining the signals. To evaluate the network’s performance, we formulated the expression of spectral efficiency and derived a mathematical equation of the outage probability for DA-NCC system. At the desired node, the mathematical equations for network coding noise, variance of network coding noise, and signal to overall noise ratio are also derived. To legitimize our analytical results, we use monte carlo simulations in MATLAB. In Vehicle-to-Vehicle (V2V) communications, smart cities, and disaster management, the generalized system model is useful for establishing reliable communication linkages among Ground Users (GUs) in the event that the central coordinator (Base Station (BS)) is disrupted.","PeriodicalId":106004,"journal":{"name":"2021 IEEE 18th India Council International Conference (INDICON)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116178288","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Comparative Performance Investigation of MIMO-OTFS and MIMO-OFDM using Deep Neural Network Modeling 基于深度神经网络建模的MIMO-OTFS和MIMO-OFDM性能比较研究

2021 IEEE 18th India Council International Conference (INDICON) Pub Date : 2021-12-19 DOI: 10.1109/INDICON52576.2021.9691490

M. Joshi, Gaurav Punjabi, B. Sainath, A. Chintanpalli

{"title":"Comparative Performance Investigation of MIMO-OTFS and MIMO-OFDM using Deep Neural Network Modeling","authors":"M. Joshi, Gaurav Punjabi, B. Sainath, A. Chintanpalli","doi":"10.1109/INDICON52576.2021.9691490","DOIUrl":"https://doi.org/10.1109/INDICON52576.2021.9691490","url":null,"abstract":"We consider two popular wireless physical layers (PHYs), namely, multi-input multi-output (MIMO)-orthogonal frequency division multiplexing (OFDM) and MIMO-orthogonal time frequency and space (OTFS) modulation. For them, we develop and implement a deep neural network (DNN) model for fading channel estimation and investigate the mean square error (MSE) performance. While MIMO offers spatial multiplexing to enhance data rates, OFDM provides diversity to combat intersymbol interference. However, OFDM has limitations in high Doppler environments. The OTFS modulation, a newly developed two-dimensional modulation scheme, overcomes OFDM’s limitations. The OTFS modulation technique is helpful in high Doppler fading channels and offers several advantages. In the high Doppler scenario, we find that the OTFS outperforms the OFDM modulation scheme. The added benefit of OTFS over OFDM lies in exploiting channel diversity better in both the time domain and frequency domain when we employ the technique with appropriate equalizers. We show via simulations that DL-enabled MIMO-OTFS DNN exhibits a minimum MSE of value 0.4246, which is less than that of MIMO-OFDM DNN, which is 0.5355 for fading scenarios with high Doppler. Furthermore, we compare our DNN model with the existing linear interpolation technique for channel estimation in MIMO-OTFS at high Doppler.","PeriodicalId":106004,"journal":{"name":"2021 IEEE 18th India Council International Conference (INDICON)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116226386","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Development of Event triggered Feed forward Control Scheme for Fed-Batch E.coli Fermentation Process 投料批式大肠杆菌发酵过程事件触发前馈控制方案的研究

2021 IEEE 18th India Council International Conference (INDICON) Pub Date : 2021-12-19 DOI: 10.1109/INDICON52576.2021.9691760

Lufunyo Betania Lupenza, Sutha Subbian, C. Murugan

{"title":"Development of Event triggered Feed forward Control Scheme for Fed-Batch E.coli Fermentation Process","authors":"Lufunyo Betania Lupenza, Sutha Subbian, C. Murugan","doi":"10.1109/INDICON52576.2021.9691760","DOIUrl":"https://doi.org/10.1109/INDICON52576.2021.9691760","url":null,"abstract":"This paper presents development of Event Triggered Feed Forward Control (ET-FFC) scheme for K12 Escherichia coli (E.coli) fermentation process. Modeling and control of E.coli fermentation is a challenging task due to strong influence of the risk factors/disturbance like variations in pH, temperature, agitator speed, substrate concentration and air flow rate on biomass yield. The main idea is to develop event triggered Feed forward control scheme to reduce the influence of known disturbance on biomass by minimizing Control Energy(CE) and Integral Square Error (ISE). Real time data of Biomass concentration, substrate feed rate and temperature are collected from the 1.5 Liter laboratory experimental Bioreactor setup. Based on the data, data-driven model based Feedback Controllers (FBC) namely Proportional Integral (PI) controller and Model Predictive controller (MPC) are designed to control Biomass concentration by manipulating substrate feed rate. In addition, Feed-Forward controller is designed for known temperature disturbance. When the temperature disturbance event is detected, FF controller takes control action to suppress its effect on yield. Finally, the closed loop performances of the E.coli fermentation process with proposed controllers are evaluated and analyzed through simulation. Further, a comparative study is carried out for the closed loop system with PI based ET-FFC and proposed MPC based ET-FFC schemes qualitatively as well as quantitatively. The results show that MPC based ET-FFC scheme provides better performances with minimum ISE over PI based ET-FFC scheme.","PeriodicalId":106004,"journal":{"name":"2021 IEEE 18th India Council International Conference (INDICON)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121657031","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Causal Connectivity based Classification of Functional MRI data 基于因果连通性的功能性MRI数据分类

2021 IEEE 18th India Council International Conference (INDICON) Pub Date : 2021-12-19 DOI: 10.1109/INDICON52576.2021.9691626

J. S. Ramakrishna, Hariharan Ramasangu

{"title":"Causal Connectivity based Classification of Functional MRI data","authors":"J. S. Ramakrishna, Hariharan Ramasangu","doi":"10.1109/INDICON52576.2021.9691626","DOIUrl":"https://doi.org/10.1109/INDICON52576.2021.9691626","url":null,"abstract":"The study of the functional connectivity of the human brain has been of significant interest in the research community. Causal connectivity refers to the understanding of the causal relationship between the brain regions. Estimation of causal interactions using fMRI data is a challenge for computational neuroimaging. In this work, we have estimated task-specific and disease-specific causal interactions between the brain regions using fMRI data. Granger causality is used to find the causal relationship between different brain regions. The quantification of causal configurations between the brain regions is achieved using transfer entropy. The obtained transfer entropy values are used as features for the classification of fMRI data. The performance of the proposed method has been validated on StarPlus and ADNI fMRI data. It achieves an average classification accuracy of 97.3% for cognitive state classification. The proposed technique achieves 99% accuracy for classification of Alzheimer’s disease and Control Normal subjects, 97% accuracy while classifying Alzheimer’s Disease and Mild Cognitive Impairment subjects, and 95% accuracy while classifying control normal and Mild cognitive impairment subjects. The proposed framework achieves an improvement of 2% and 3% for classification of task-specific and disease-specific fMRI data when compared to the existing methods.","PeriodicalId":106004,"journal":{"name":"2021 IEEE 18th India Council International Conference (INDICON)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127774255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Knowledge Aided Track Management: Multi-Target Tracking in the Presence of Electromagnetic Absorbers 知识辅助航迹管理:电磁吸收器存在下的多目标跟踪

2021 IEEE 18th India Council International Conference (INDICON) Pub Date : 2021-12-19 DOI: 10.1109/INDICON52576.2021.9691752

P. Srihari, Vikas Kumar Dewangan, M. Anvith, Adithya Jayan, Medidi Anurag, Bethi Pardhasaradhi

{"title":"Knowledge Aided Track Management: Multi-Target Tracking in the Presence of Electromagnetic Absorbers","authors":"P. Srihari, Vikas Kumar Dewangan, M. Anvith, Adithya Jayan, Medidi Anurag, Bethi Pardhasaradhi","doi":"10.1109/INDICON52576.2021.9691752","DOIUrl":"https://doi.org/10.1109/INDICON52576.2021.9691752","url":null,"abstract":"Electromagnetic (EM) absorbers are used in the surveillance to inhibit the target reflections back to the EM sensor. In the presence of EM absorbers, the probability of detection (PD) of a target in a particular area is very low or zero. Hence, the traditional trackers report death (termination of an existing track) whenever the target enters the EM absorber zone. Similarly, the tracker reports as birth (initialization of new track) whenever the target comes out of the EM absorber zone. Hence, the continuous track appears as a track breakage due to the dead zone. This paper proposes an environment learning with previous knowledge of tracks, and accordingly track management rules are adapted. Based on the knowledge, whenever targets enters into dead zone, the tracker propagates the tracks throughout the dead zone based on the kinematics of the target. The proposed algorithm is demonstrated by using the Histogram probabilistic multi-hypothesis tracker (H-PMHT) owing to its performance and computational load. The simulation results reveal that the proposed knowledge aided track management provides a continuity in track in the presence of EM absorber.","PeriodicalId":106004,"journal":{"name":"2021 IEEE 18th India Council International Conference (INDICON)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121956852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

AMSDAT: Integrated Analog and Mixed-Signal Design Optimization Framework for SoC Applications 用于SoC应用的集成模拟和混合信号设计优化框架

2021 IEEE 18th India Council International Conference (INDICON) Pub Date : 2021-12-19 DOI: 10.1109/INDICON52576.2021.9691715

Harsha Maddur Venkataswamy, B. Harish

{"title":"AMSDAT: Integrated Analog and Mixed-Signal Design Optimization Framework for SoC Applications","authors":"Harsha Maddur Venkataswamy, B. Harish","doi":"10.1109/INDICON52576.2021.9691715","DOIUrl":"https://doi.org/10.1109/INDICON52576.2021.9691715","url":null,"abstract":"Traditionally, analog and mixed-signal circuit design involves a long, iterative process based on a thorough understanding of circuit behavior and the intuition of the designer, and yet resulting in sub-optimal designs with high probability. In the proposed work, a fully automated, efficient, and robust design optimization framework to find the optimal solution, over a large design search space, for the multi-objective design of analog ICs is presented. The methodology integrates the metaheuristic algorithms such as Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) with SPICE for analog and mixed-signal circuit design automation by optimizing its performance metrics to meet the design specifications. A user-friendly graphical interface is implemented in MATLAB, and the design verification is seamlessly simulated in SPICE for accuracy. The tool is demonstrated to achieve target design and even overperformance of the design, for 2-stage op-amp and analog-to-digital converter applications. The framework tool exemplifies a robust, scalable, and accurate methodology for multi-objective optimization of analog and mixed-signal circuits of varying scale and design complexity. Further, the framework is applicable to any process technology defined in the netlist of the circuit under design consideration and hence design migration across process nodes is a simple process.","PeriodicalId":106004,"journal":{"name":"2021 IEEE 18th India Council International Conference (INDICON)","volume":"259 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134448016","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Proof of Solution: Implementation of Work History as Stake in Blockchain Applications 解决方案证明:在区块链应用程序中实现工作历史作为利益相关者

2021 IEEE 18th India Council International Conference (INDICON) Pub Date : 2021-12-19 DOI: 10.1109/INDICON52576.2021.9691673

M. H. M. Kiran, A. Patil, Harivind Premkumar, Pranav Hegde, P. S. Rishi Kumar

引用次数: 0

Multi-Folded Bandpass Filter with Harmonic Suppression by Meander Spurline 弯曲杂散线谐波抑制的多折叠带通滤波器

2021 IEEE 18th India Council International Conference (INDICON) Pub Date : 2021-12-19 DOI: 10.1109/INDICON52576.2021.9691654

T. K. Das, Pritam Paul, Suprava Das, S. Chatterjee

{"title":"Multi-Folded Bandpass Filter with Harmonic Suppression by Meander Spurline","authors":"T. K. Das, Pritam Paul, Suprava Das, S. Chatterjee","doi":"10.1109/INDICON52576.2021.9691654","DOIUrl":"https://doi.org/10.1109/INDICON52576.2021.9691654","url":null,"abstract":"The design of a fourth-order compact bandpass filter using multi-folded hairpin resonators with an improvement in the skirt characteristics and an extended stopband is presented in this article. At first, the compactness of 40% has been achieved for a fourth-order bandpass filter centered at 2.5 GHz and fractional bandwidth of 5% over the conventional hairpin-line filter by cascading the multi-folded hairpin line (MFHL) cells in a hybrid configuration. Accordingly, the skirt characteristics have been improved by the introduction of a deep transmission zero of attenuation level of 56 dB at the upper edge of the passband. However, the presence of the spurious harmonics with the attenuation level of 10 dB has overshadowed the benefits of the multi-folding of the hairpin lines. In this context, a meander spur line with optimum dimensions was incorporated symmetrically in each coupled section of adjacent MFHL cells to achieve modal phase velocity compensation. As a result, an extended stopband with a rejection level of 25 dB up to 4.8f0 and 33 dB up to 4.16f0 has been obtained. Besides, an overall size reduction of 49% has been achieved accordingly.","PeriodicalId":106004,"journal":{"name":"2021 IEEE 18th India Council International Conference (INDICON)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131048004","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Time Series Forecasting of Air Pollution using Deep Neural Network with Multi-output Learning 基于多输出学习的深度神经网络空气污染时间序列预测

2021 IEEE 18th India Council International Conference (INDICON) Pub Date : 2021-12-19 DOI: 10.1109/INDICON52576.2021.9691669

K. Samal, Korra Sathya Babu, S. Das

{"title":"Time Series Forecasting of Air Pollution using Deep Neural Network with Multi-output Learning","authors":"K. Samal, Korra Sathya Babu, S. Das","doi":"10.1109/INDICON52576.2021.9691669","DOIUrl":"https://doi.org/10.1109/INDICON52576.2021.9691669","url":null,"abstract":"The main objective of multi-output learning for environmental data engineering is to simultaneously forecast multiple variables for a given input. It has a vital role in ecological decision-making strategies due to the complex features involved. It has an immense impact on model stability for environmental data modeling, especially for air pollution modeling. In recent years, multi-input and multi-output learning has drawn massive attention from researchers and policymakers for air quality modeling and forecasting. Traditional air pollution forecasting models perform multivariate forecasting, which considers multiple variables as input to perform PM2.5 forecasting. Particulate matter PM2.5 and PM10 are both the primary source of air pollution, cause much death worldwide. So, it is crucial to predict both the pollutants simultaneously for a better decision-making process. This research study fills this research gap by developing a multi-output pollution forecasting model to help long-run decision strategies for policymakers and the public. The experiment is conducted for Gucheng location, one of the polluted cities of Beijing, and the experimental results demonstrate its effectiveness in air pollution forecasting.","PeriodicalId":106004,"journal":{"name":"2021 IEEE 18th India Council International Conference (INDICON)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131229862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4