{"title":"Impact of HARQ Retransmission on VoLTE Call Blocking in Cellular LTE","authors":"Mohan Kumar Dehury, H. K. Pati","doi":"10.1109/INDICON52576.2021.9691711","DOIUrl":"https://doi.org/10.1109/INDICON52576.2021.9691711","url":null,"abstract":"Voice over LTE (VoLTE) has been one of the main revenue generating service for Long Term Evolution (LTE) operators. Any error in the wireless communication systems may result in loss of voice packets leading to poor quality of transmission. To be able to handle errors in the communication system Third Generation Partnership Project (3GPP) has recommended the use of Hybrid Automatic Repeat reQuest (HARQ) scheme for reliable voice communication in an LTE network. However, to achieve reliability HARQ considers retransmission of packets that require more radio resources. This may affect the availability of radio resources due to which one of the network Quality of Service (QoS) measure that is call blocking may get affected. In this paper, we have used a Physical Resource Block (PRB) based Markov model to investigate the impact of HARQ retransmissions on VoLTE call blocking performance in a cellular LTE network.","PeriodicalId":106004,"journal":{"name":"2021 IEEE 18th India Council International Conference (INDICON)","volume":"15 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":"125063506","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}
Reuben Johann Rosen, Debadeepta Tagore, Tharun J. Iyer, N. Ruban, A. Raj
{"title":"Infant Mood Prediction and Emotion Classification with Different Intelligent Models","authors":"Reuben Johann Rosen, Debadeepta Tagore, Tharun J. Iyer, N. Ruban, A. Raj","doi":"10.1109/INDICON52576.2021.9691601","DOIUrl":"https://doi.org/10.1109/INDICON52576.2021.9691601","url":null,"abstract":"In this paper, we have analysed the cries of infants aged 0 to 6 months and have tried predicting emotions which might be a tool of communication. The present work carried out is mainly for analysing infant cries to predict emotions of hunger, discomfort, and belly pain. The system described here involves the Mel Frequency Cepstral Coefficients (MFCC) feature extraction technique and consecutive processing of various classification models such as Decision Tree, Random Forest, Support Vector Machine (SVM), and Logistic Regression. After comparing the results from all the mentioned classifiers, we have concluded that for an infant cry analysis, SVM and Random Forest Classification gives the most accurate output of 91%.","PeriodicalId":106004,"journal":{"name":"2021 IEEE 18th India Council International Conference (INDICON)","volume":"128 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":"123335860","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}
{"title":"Application of PID and Sliding Mode Control on Quadcopter for Autonomous Optimized Flight","authors":"M. Saad, Chinmay Rajhans, Surender Kannaiyan","doi":"10.1109/INDICON52576.2021.9691680","DOIUrl":"https://doi.org/10.1109/INDICON52576.2021.9691680","url":null,"abstract":"Nowadays, robots are getting popular; they are being deployed everywhere, ranging from farms, homes, hospitals to industries, warehouses, and military operations. The field of autonomous robotics is becoming popular day by day. Advancement in electronics and mechanical designs can be considered the driving force for the advancement of autonomous robots. To develop an autonomous robot that can work with humans, the robot must perceive the surrounding and decide by itself the next action it should perform at each instant of time. In this paper, we present a mathematical model based autonomous quadcopter which can reach any given desired location from its initial position in an outdoor environment. Taking the desired position and orientation of the quadcopter in 3D space from the user, the system generates an optimal trajectory for the quadcopter to follow from initial position and orientation to final position and orientation. The entire pipeline with different methods of trajectory generations, the non-linear and coupled dynamic model of the quadcopter, linear and nonlinear controller development for autonomous flight is explained in this paper. Quadcopter encounters unknown air resistance and drag forces in the outdoor environment; we have discussed the problem of unknown disturbances occurring during the flight.","PeriodicalId":106004,"journal":{"name":"2021 IEEE 18th India Council International Conference (INDICON)","volume":"32 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":"121788779","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}
{"title":"Learning Safe Cooperative Policies in Autonomous Multi-UAV Navigation","authors":"Arshdeep Singh, S. S. Jha","doi":"10.1109/INDICON52576.2021.9691696","DOIUrl":"https://doi.org/10.1109/INDICON52576.2021.9691696","url":null,"abstract":"The deployment of multiple Unmanned Aerial Vehicles (UAV) in constrained environments has various challenges concerning trajectory optimization with the target(s) reachability and collisions. In this paper, we formulate multi-UAV navigation in constrained environments as a multi-agent learning problem. Further, we propose a reinforcement learning based Safe-MADDPG method to learn safe and cooperative multi-UAV navigation policies in a constrained environment. The safety constraints to handle inter-UAV collisions during navigation are modeled through action corrections of the learned autonomous navigation policies using an additional safety layer. We have implemented our proposed approach on the Webots Simulator and provided a detailed analysis of the proposed solution. The results demonstrate that the proposed Safe-MADDPG approach is effective in learning safe actions for multi-UAV navigation in constrained environments.","PeriodicalId":106004,"journal":{"name":"2021 IEEE 18th India Council International Conference (INDICON)","volume":"27 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":"121885606","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}
{"title":"FGMTL based Low Voltage Current Mode Squarer/Divider Circuit","authors":"Aakriti Chhabra, Bhawna Aggarwal, R. Senani","doi":"10.1109/INDICON52576.2021.9691572","DOIUrl":"https://doi.org/10.1109/INDICON52576.2021.9691572","url":null,"abstract":"A FGMTL (FGMOS Translinear) principle based current mode one quadrant squarer/divider circuit operating at low voltage in saturation region is presented. Squarer/divider is the key circuit which acts as a core building block for nonlinear signal processing functions. Low voltage square/divider can be constructed using FGMTL principle in place of MTL (MOS Translinear) principle in saturation. Multi-input nature of FGMOS transistor reduces the transistor’s threshold voltage which allows low voltage operation of the proposed circuit in saturation region. Proposed circuit is designed at a supply voltage of 0. 7V. It offers a bandwidth of 0. 5GHz when simulated in LTSPICE software using 0.18$mu$m CMOS technology. THD of 2.3% to 4.7% is obtained for the sinusoidal peak to peak input current range from 1$mu$A to 10$mu$A at a frequency of 1KHz.","PeriodicalId":106004,"journal":{"name":"2021 IEEE 18th India Council International Conference (INDICON)","volume":"27 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":"122051573","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}
{"title":"Pitch Channel Tracking Control of an Autonomous Underwater Vehicle with Delayed Output","authors":"Ravishankar P. Desai, N. Manjarekar","doi":"10.1109/INDICON52576.2021.9691723","DOIUrl":"https://doi.org/10.1109/INDICON52576.2021.9691723","url":null,"abstract":"A linearized and reduced-order pitch channel model of an experimental autonomous underwater vehicle AUV-150 is considered. A sliding mode controller (SMC) is designed by considering the parametric variations in the state of the pitch channel. A delayed output estimator is designed by considering a delay in the measurement signal of pitch channel dynamics. The proposed SMC based delayed output estimator tracks the vehicle position under parametric variations and time-varying disturbances. The closed-loop stability is analysed. The observer error and tracking error asymptotic convergence is realized. Furthermore, controller performance is demonstrated through simulation results using MATLAB Simulink R2019b (9.7.0.1471314).","PeriodicalId":106004,"journal":{"name":"2021 IEEE 18th India Council International Conference (INDICON)","volume":"70 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":"122669971","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}
{"title":"Design Of High Density Memory Cell Library For Low Voltage Operation In 65nm LSTP Technology","authors":"Akshat Saxena, Swapnil Bansal, D. Sharma, Payal Kumari, Sandeep Kumar Singh, Priya Kapil, Belal Iqbal, Anuj Grover","doi":"10.1109/INDICON52576.2021.9691642","DOIUrl":"https://doi.org/10.1109/INDICON52576.2021.9691642","url":null,"abstract":"In advanced high-performance digital SoCs, embedded SRAMs occupy nearly 70% of die area. Therefore, optimizing SRAMs for density, power consumption, and performance is very important. This paper presents the design of a high-density SRAM memory cell suite comprising of different configurations of IRIW 8T cell and a conventional 6T cell in 65nm low standby power (LSTP) technology node. The effect of using assist schemes to lower minimum operational voltage ($V_{min}$) of the SRAM cell is evaluated. We show that while at $V_{min}$=1.08V, a conventional 6T cell is 25% denser than a IRIW 8T cell, at $V_{min}$=0.81V, 8T cell with write assist is around 7% denser and has 33% lower leakage and better performance than a 6T cell.","PeriodicalId":106004,"journal":{"name":"2021 IEEE 18th India Council International Conference (INDICON)","volume":"13 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":"124212311","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}
Asif Iqbal Middya, Debjani Chattopadhyay, Sarbani Roy
{"title":"Garbage Detection and Classification using Faster-RCNN with Inception-V2","authors":"Asif Iqbal Middya, Debjani Chattopadhyay, Sarbani Roy","doi":"10.1109/INDICON52576.2021.9691547","DOIUrl":"https://doi.org/10.1109/INDICON52576.2021.9691547","url":null,"abstract":"Street garbage monitoring is important for ensuring a clean and healthy civic environment. In this context, automatic detection and classification of waste/litter objects on the streets is necessary for proper garbage disposal. Specifically, such detection and classification of waste objects could be utilized in developing automated waste sorting applications. This paper attempts to build a Faster R-CNN based predictive model for automatic classification of ten different types of waste/litter objects. Two pre-trained networks namely Inception-V2 and ResNet-101 are investigated as backbone networks for feature extraction. The performance of the proposed model is also compared with two baselines namely RFCN (region-based fully convolutional network) and SSD (single shot multibox detector). It is observed that the Faster R-CNN configured with InceptionV2 achieves the highest mAP (mean average precision) of 92%.","PeriodicalId":106004,"journal":{"name":"2021 IEEE 18th India Council International Conference (INDICON)","volume":"1 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":"130233706","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}
Sreetama Das, Anirban Nag, Dhruba Adhikary, Ramswaroop Jeevan Ram, BR Aravind, S. Ojha, Guruprasad M. Hegde
{"title":"Computer Vision-based Social Distancing Surveillance with Automated Camera Calibration for Large-scale Deployment","authors":"Sreetama Das, Anirban Nag, Dhruba Adhikary, Ramswaroop Jeevan Ram, BR Aravind, S. Ojha, Guruprasad M. Hegde","doi":"10.1109/INDICON52576.2021.9691485","DOIUrl":"https://doi.org/10.1109/INDICON52576.2021.9691485","url":null,"abstract":"Social distancing has been suggested as one of the effective measures to break the chain of viral transmission in the ongoing COVID-19 pandemic. We herein describe a computer vision-based AI-assisted solution to aid compliance with social distancing norms. The solution consists of modules to detect and track people, and to identify distance violations. It provides the flexibility to choose between a tool-based mode requiring user input or a fully automated mode of camera calibration (devised in-house), making the latter suitable for large-scale deployments. We also outline a strategy to estimate the number of video feeds which can be supported in parallel for scalability. Finally, we discuss different metrics to assess the risk associated with social distancing violations, including the use of “violation clusters”, and how we can differentiate between transient or persistent violations. Our proposed solution performs satisfactorily under different test scenarios, processes video feed at real-time speed, as well as addresses data privacy regulations by blurring faces of detected people, making it ideal for deployments.","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":"127290469","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}
{"title":"Circularly Polarized Graphene Antenna for THz Applications","authors":"Amit Sharma, Dinesh Kr. Vishwakarma","doi":"10.1109/INDICON52576.2021.9691640","DOIUrl":"https://doi.org/10.1109/INDICON52576.2021.9691640","url":null,"abstract":"This manuscript reports a single substrate (silica) terahertz graphene plasmonic antenna having slotted circular patch for circular polarization, resonant at frequency of 1THz. The variation of graphene’s complex conductivity & propagation of transverse magnetic surface plasmon polariton are verified. To improve the performance of the proposed antenna a dual substrate structure is presented (by adding silicon below silica), and analyzed. By parametric variation appropriate height of substrate is calculated. Graphene’s tunability is verified using variation in its chemical potential $(mu_{c}$). Using proper values of $mu_{c}$ & relaxation time, the dual substrate, circularly polarized, graphene plasmonic THz antenna is designed, providing gain of 4. 318dBi, radiation efficiency of 85% with total efficiency of 62% & 3-dB axial ratio bandwidth of 100GHz.","PeriodicalId":106004,"journal":{"name":"2021 IEEE 18th India Council International Conference (INDICON)","volume":"68 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":"121957685","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}