Pub Date : 2022-05-06DOI: 10.1109/PCEMS55161.2022.9807915
Nilakshi Rekhawar, Yogesh Govindani, Neeraj Rao
Mobile robots can move around in the surrounding. They are used in military, industrial applications, for surveillance tasks, etc. These tasks involve multi-floor navigation through the staircase. For efficient and safe stair climbing, it is necessary for the robot to align itself with the staircase. This paper presents a deep learning based approach for staircase detection, semantic segmentation of stair edges and vision based techniques with statistical operations for pose estimation of the staircase. The objective is to solve the problem of staircase traversing for mobile robots without any prior knowledge of the stair geometry and location by iteratively calculating the pose of the staircase from the robot’s point of view till it gets aligned with the staircase. The experimental results of staircase detection, semantic segmentation and pose estimation algorithms are presented further in the paper.
{"title":"Deep Learning based Detection, Segmentation and Vision based Pose Estimation of Staircase","authors":"Nilakshi Rekhawar, Yogesh Govindani, Neeraj Rao","doi":"10.1109/PCEMS55161.2022.9807915","DOIUrl":"https://doi.org/10.1109/PCEMS55161.2022.9807915","url":null,"abstract":"Mobile robots can move around in the surrounding. They are used in military, industrial applications, for surveillance tasks, etc. These tasks involve multi-floor navigation through the staircase. For efficient and safe stair climbing, it is necessary for the robot to align itself with the staircase. This paper presents a deep learning based approach for staircase detection, semantic segmentation of stair edges and vision based techniques with statistical operations for pose estimation of the staircase. The objective is to solve the problem of staircase traversing for mobile robots without any prior knowledge of the stair geometry and location by iteratively calculating the pose of the staircase from the robot’s point of view till it gets aligned with the staircase. The experimental results of staircase detection, semantic segmentation and pose estimation algorithms are presented further in the paper.","PeriodicalId":248874,"journal":{"name":"2022 1st International Conference on the Paradigm Shifts in Communication, Embedded Systems, Machine Learning and Signal Processing (PCEMS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128846751","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}
Pub Date : 2022-05-06DOI: 10.1109/PCEMS55161.2022.9808085
S. Dhonde, Jayesh Mirani, Sunit Patwardhan, K. Bhurchandi
With the swift expansion of the global economy, cities in various nations may face day to day problems like road congestion, frequent accidents, deterioration of the traffic conditions, or other urban traffic concerns. Vehicle detection technology based on video can collect a wealth of information from video frame sequences, such as vehicle speed, vehicle type, and vehicle number plate, at a cheap cost and with great efficiency. These electronic technologies are not only useful in people’s daily lives, but they also provide management with safe and efficient services. If we solely rely on human resources, such as law enforcement officers, we may face numerous issues, including high costs and low efficiency. We have built an integrated system for speed and license plate detection of vehicles. In the method presented here, the vehicle is first segmented and extracted from a video feed, using YOLOv5 algorithm. Next, the speed of the car is calculated using a simple algorithm and then the license plate snapshots are detected. Finally, optical character recognition is applied on the license plate image. This paper presents a thorough analysis of the cutting-edge approaches for detecting and recognising vehicles, their speeds and number plates.
{"title":"Over-Speed and License Plate Detection of Vehicles","authors":"S. Dhonde, Jayesh Mirani, Sunit Patwardhan, K. Bhurchandi","doi":"10.1109/PCEMS55161.2022.9808085","DOIUrl":"https://doi.org/10.1109/PCEMS55161.2022.9808085","url":null,"abstract":"With the swift expansion of the global economy, cities in various nations may face day to day problems like road congestion, frequent accidents, deterioration of the traffic conditions, or other urban traffic concerns. Vehicle detection technology based on video can collect a wealth of information from video frame sequences, such as vehicle speed, vehicle type, and vehicle number plate, at a cheap cost and with great efficiency. These electronic technologies are not only useful in people’s daily lives, but they also provide management with safe and efficient services. If we solely rely on human resources, such as law enforcement officers, we may face numerous issues, including high costs and low efficiency. We have built an integrated system for speed and license plate detection of vehicles. In the method presented here, the vehicle is first segmented and extracted from a video feed, using YOLOv5 algorithm. Next, the speed of the car is calculated using a simple algorithm and then the license plate snapshots are detected. Finally, optical character recognition is applied on the license plate image. This paper presents a thorough analysis of the cutting-edge approaches for detecting and recognising vehicles, their speeds and number plates.","PeriodicalId":248874,"journal":{"name":"2022 1st International Conference on the Paradigm Shifts in Communication, Embedded Systems, Machine Learning and Signal Processing (PCEMS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127517306","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}
Pub Date : 2022-05-06DOI: 10.1109/PCEMS55161.2022.9807936
S. B. Gundre, V. Ratnaparkhe
A dual-band monopole antenna with a simple, flexible structure designed for wearable applications is proposed in this paper. These antennas are expected to perform with the least amount of degradation in vicinity to the human body. To meet these requirements, the wearable antenna design becomes challenging. Moreover, human body has high dielectric permittivity and losses that significantly affect the desired antenna performance, especially causing the detuning. Thus, a dual-band wearable antenna is projected to cater a solution to this problem. The proposed antenna of 35 mm X 36 mm has a compact size and designed on a flexible jeans material substrate. The antenna resonating at 2.8 GHz and 3.8 GHz provides dual band operation over 2.68 GHz- 2.95 GHz and 3.65 GHz-4.18 GHz which claims its application in WiMAX. The SAR measured is well within the standard limits even without incorporating the structures to mitigate back radiation. The obtained specific absorption rate (SAR) values at lower and higher resonating frequencies are 1.50 W/kg and 1.59 W/kg respectively without back radiation prevention structure. Furthermore, a technique to calibrate the antenna structure for mitigating the moisture effect in the textile fabric is proposed. The proposed antenna asserts its place under on-body communication as it offers all the traits essential for a wearable antenna.
提出了一种结构简单、灵活的可穿戴双频单极天线。预计这些天线在接近人体时性能退化最小。为了满足这些要求，可穿戴天线的设计变得具有挑战性。此外，人体具有较高的介电常数和损耗，严重影响天线的预期性能，特别是造成失谐。因此，双频可穿戴天线被设计用来解决这个问题。所提出的天线尺寸为35 mm X 36 mm，尺寸紧凑，设计在柔性牛仔裤材料基板上。该天线谐振频率为2.8 GHz和3.8 GHz，可在2.68 GHz- 2.95 GHz和3.65 GHz-4.18 GHz范围内提供双频工作，可用于WiMAX。即使没有加入减轻背辐射的结构，测量的SAR也完全在标准范围内。在没有防背辐射结构的情况下，得到的比吸收率(SAR)在低、高谐振频率下分别为1.50 W/kg和1.59 W/kg。在此基础上，提出了一种消除织物水分效应的天线结构标定技术。该天线在人体通信中占有一席之地，因为它提供了可穿戴天线的所有基本特征。
{"title":"Simple and Flexible Structure of Dual-band Monopole Wearable Patch Antenna","authors":"S. B. Gundre, V. Ratnaparkhe","doi":"10.1109/PCEMS55161.2022.9807936","DOIUrl":"https://doi.org/10.1109/PCEMS55161.2022.9807936","url":null,"abstract":"A dual-band monopole antenna with a simple, flexible structure designed for wearable applications is proposed in this paper. These antennas are expected to perform with the least amount of degradation in vicinity to the human body. To meet these requirements, the wearable antenna design becomes challenging. Moreover, human body has high dielectric permittivity and losses that significantly affect the desired antenna performance, especially causing the detuning. Thus, a dual-band wearable antenna is projected to cater a solution to this problem. The proposed antenna of 35 mm X 36 mm has a compact size and designed on a flexible jeans material substrate. The antenna resonating at 2.8 GHz and 3.8 GHz provides dual band operation over 2.68 GHz- 2.95 GHz and 3.65 GHz-4.18 GHz which claims its application in WiMAX. The SAR measured is well within the standard limits even without incorporating the structures to mitigate back radiation. The obtained specific absorption rate (SAR) values at lower and higher resonating frequencies are 1.50 W/kg and 1.59 W/kg respectively without back radiation prevention structure. Furthermore, a technique to calibrate the antenna structure for mitigating the moisture effect in the textile fabric is proposed. The proposed antenna asserts its place under on-body communication as it offers all the traits essential for a wearable antenna.","PeriodicalId":248874,"journal":{"name":"2022 1st International Conference on the Paradigm Shifts in Communication, Embedded Systems, Machine Learning and Signal Processing (PCEMS)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127240591","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}
Pub Date : 2022-05-06DOI: 10.1109/PCEMS55161.2022.9807932
Aditya Roy, S. Mukhopadhyay, Sahadev Roy
As the technologies in different fields are developing rapidly to improve society for the betterment of human life, more and more environmental problems are arising. Water is one of the most crucial elements for human life to sustain on this planet. So to monitor the coantinuous supply of filtered and purified water is becoming more important nowadays. Now, most of the monitoring systems that are present today are not automated and also equipped with the same repeated process and also very time-consuming. In this proposed work we present a water quality monitoring system that will be consists of various spring water quality measuring sensors, microcontroller for processing gathered data and various communication systems for node communication with the cloud server. To access the gathered data from remote places various monitoring system and the Internet of Things (IoT) is implicated in the system. And to display spring water quality data in an interactive form on the user side, a separate cloud server can be used and a unique IP address can be provided so a user can access the collected data. Also, the gathered values will be compared with standard values and if the values are above the set-threshold value, an automated warning SMS alert will be sent to the user. The uniqueness of the proposed system is modularity, low power consumption, and low propagation delay.
{"title":"IoT Based Real-Time Spring Water Quality Monitoring System","authors":"Aditya Roy, S. Mukhopadhyay, Sahadev Roy","doi":"10.1109/PCEMS55161.2022.9807932","DOIUrl":"https://doi.org/10.1109/PCEMS55161.2022.9807932","url":null,"abstract":"As the technologies in different fields are developing rapidly to improve society for the betterment of human life, more and more environmental problems are arising. Water is one of the most crucial elements for human life to sustain on this planet. So to monitor the coantinuous supply of filtered and purified water is becoming more important nowadays. Now, most of the monitoring systems that are present today are not automated and also equipped with the same repeated process and also very time-consuming. In this proposed work we present a water quality monitoring system that will be consists of various spring water quality measuring sensors, microcontroller for processing gathered data and various communication systems for node communication with the cloud server. To access the gathered data from remote places various monitoring system and the Internet of Things (IoT) is implicated in the system. And to display spring water quality data in an interactive form on the user side, a separate cloud server can be used and a unique IP address can be provided so a user can access the collected data. Also, the gathered values will be compared with standard values and if the values are above the set-threshold value, an automated warning SMS alert will be sent to the user. The uniqueness of the proposed system is modularity, low power consumption, and low propagation delay.","PeriodicalId":248874,"journal":{"name":"2022 1st International Conference on the Paradigm Shifts in Communication, Embedded Systems, Machine Learning and Signal Processing (PCEMS)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126060644","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}
Pub Date : 2022-05-06DOI: 10.1109/PCEMS55161.2022.9807927
Mandeep Malik, Ashwin Kothari, R. Pandhare
5G communication networks are under promulgation globally and in India the same will be deployed by second quarter of 2022. 5G networks provide much needed flexibility non monolithic architecture for implementation of various services through core network. 5G follows independent and autonomous architecture in core network and thus provide means for creation of multiple logical networks on the same physical infrastructure called as Network Slicing. Multiple slices of the same network are available by means of virtualization and network orchestration by means of network slicing which segments the traffic flow as per user customization. This can also be used for creation of private exclusive network with customized services and features. Militaries across the globe have been using their self-deployed hardware and software which are exclusive and isolated from public networks for deployment of isolated military networks akin to commercial telecommunication networks. Though military networks emerge out of technologies used in public switched networks but since they require secrecy and isolation thus remain aloof from public networks and over a period also get outdated, since a large infrastructure has to be created for deployment of networks which also requires huge capital thus these networks are not upgraded periodically as in case of civil networks. Network slicing function of 5G provides means of using the public telecom networks with exclusivity and secrecy without deployment of infrastructure and still maintain the required isolation. An exclusive military network slice on telecommunication service providers (TSPs) infrastructure will enable economy of use, low cost of ownership and customized services with increased network security or propriety security algorithms as per requirement of Army.
{"title":"Network Slicing In 5g: Possible Military Exclusive Slice","authors":"Mandeep Malik, Ashwin Kothari, R. Pandhare","doi":"10.1109/PCEMS55161.2022.9807927","DOIUrl":"https://doi.org/10.1109/PCEMS55161.2022.9807927","url":null,"abstract":"5G communication networks are under promulgation globally and in India the same will be deployed by second quarter of 2022. 5G networks provide much needed flexibility non monolithic architecture for implementation of various services through core network. 5G follows independent and autonomous architecture in core network and thus provide means for creation of multiple logical networks on the same physical infrastructure called as Network Slicing. Multiple slices of the same network are available by means of virtualization and network orchestration by means of network slicing which segments the traffic flow as per user customization. This can also be used for creation of private exclusive network with customized services and features. Militaries across the globe have been using their self-deployed hardware and software which are exclusive and isolated from public networks for deployment of isolated military networks akin to commercial telecommunication networks. Though military networks emerge out of technologies used in public switched networks but since they require secrecy and isolation thus remain aloof from public networks and over a period also get outdated, since a large infrastructure has to be created for deployment of networks which also requires huge capital thus these networks are not upgraded periodically as in case of civil networks. Network slicing function of 5G provides means of using the public telecom networks with exclusivity and secrecy without deployment of infrastructure and still maintain the required isolation. An exclusive military network slice on telecommunication service providers (TSPs) infrastructure will enable economy of use, low cost of ownership and customized services with increased network security or propriety security algorithms as per requirement of Army.","PeriodicalId":248874,"journal":{"name":"2022 1st International Conference on the Paradigm Shifts in Communication, Embedded Systems, Machine Learning and Signal Processing (PCEMS)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124953795","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}
Pub Date : 2022-05-06DOI: 10.1109/PCEMS55161.2022.9808049
Nikhil B. Gaikwad, S. K. Khare, Nitin Satpute, A. Keskar
Fog computing is a key solution for internet of things (IoT) applications, which demands operational security, real-time and power efficient intelligent responses, and low bandwidth usage. This paper introduces a novel idea related to an hardware implementation of High-performance classifiers for real-time and low power sensor data analytic on the intelligent edge gateway running on smart automobile. The high-performance classifiers uses an artificial neural network (ANN) to extract conclusive inferences from the raw automotive sensors information. The multiple classifiers are embedded into a re-configurable ANN hardware deign i.e. intellectual property core (IP core) which implemented and tested using field-programmable gate array fabric. In addition, this work studies the effect of the IP cores on the performance of the edge gateway. The implementation of fog/edge computing enables throughput reduction of 96.78% to 98.75% compared with the traditional gateway. The hardware design of the high-performance classifiers IP core requires only 31μ s and power consumption of 124mW for classification. The concept of re-configurable ANN model reduce about 41% to 93% of hardware resources requirement that contributing to reduced system power and cost.
{"title":"Hardware Implementation of High-performance Classifiers for Edge Gateway of Smart Automobile","authors":"Nikhil B. Gaikwad, S. K. Khare, Nitin Satpute, A. Keskar","doi":"10.1109/PCEMS55161.2022.9808049","DOIUrl":"https://doi.org/10.1109/PCEMS55161.2022.9808049","url":null,"abstract":"Fog computing is a key solution for internet of things (IoT) applications, which demands operational security, real-time and power efficient intelligent responses, and low bandwidth usage. This paper introduces a novel idea related to an hardware implementation of High-performance classifiers for real-time and low power sensor data analytic on the intelligent edge gateway running on smart automobile. The high-performance classifiers uses an artificial neural network (ANN) to extract conclusive inferences from the raw automotive sensors information. The multiple classifiers are embedded into a re-configurable ANN hardware deign i.e. intellectual property core (IP core) which implemented and tested using field-programmable gate array fabric. In addition, this work studies the effect of the IP cores on the performance of the edge gateway. The implementation of fog/edge computing enables throughput reduction of 96.78% to 98.75% compared with the traditional gateway. The hardware design of the high-performance classifiers IP core requires only 31μ s and power consumption of 124mW for classification. The concept of re-configurable ANN model reduce about 41% to 93% of hardware resources requirement that contributing to reduced system power and cost.","PeriodicalId":248874,"journal":{"name":"2022 1st International Conference on the Paradigm Shifts in Communication, Embedded Systems, Machine Learning and Signal Processing (PCEMS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125350234","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}
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