{"title":"Performance Evaluation of Ad-Hoc Networks in Static & Mobile Environment","authors":"Anuradha Pughat, Bajrang Bansal, Tushar Verma","doi":"10.1109/ICSC48311.2020.9182732","DOIUrl":"https://doi.org/10.1109/ICSC48311.2020.9182732","url":null,"abstract":"The Internet Protocol version 6 (IPv6) based routing protocol for low power and lossy networks (RPL) is used for routing in the static networks such as wireless sensor networks (WSNs) and internet of things (IoT). The research is going on to implement the RPL for mobile networks like vehicular ad-hoc network (VANET) and mobile ad-hoc network (MANET). These networks are infrastructure less and self-configuration is required to connect these mobile devices. There are some limitations of the RPL when the network is dense and mobility is introduced in it. For the solution of this problem, this paper presents the performance evaluation of RPL in the mobile network and comparison is performed with the static network. The implementation is done on the Contiki environment and results are analyzed on Cooja (network simulator). It is observed that the RPL performance depends strongly on number of sender nodes, sink nodes, and also on the inclusion of mobility to the nodes. The metric values increase with more packet loss with increasing the number of nodes in the network. Further the increase in number of sink nodes provides lesser packet loss, retransmission, and the energy consumption. The introduced mobility increases the network energy consumption.","PeriodicalId":334609,"journal":{"name":"2020 6th International Conference on Signal Processing and Communication (ICSC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116845613","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":"SRS Automator - An Attempt to Simplify Software Development Lifecycle","authors":"M. Duggal, Naincy Saxena, M. Gurve","doi":"10.1109/ICSC48311.2020.9182768","DOIUrl":"https://doi.org/10.1109/ICSC48311.2020.9182768","url":null,"abstract":"A Software Requirements Specification (SRS) document showcases the details of the functions along with the capabilities that a software system should provide and all the constraints it should respect. This document serves as a base document for all the succeeding steps for the project which involves planning, designing, coding, testing maintenance. Everyone from being a developer to a tester to the project managers who are involved in the project rely on the SRS. The design team, the development team, the quality assurance and maintenance staff, the app or product testers, the support staff, and even the sales and marketing department people require the SRS. This makes this document one of the most important documents. The lack of an entirely free and open source tool to mechanize construction of a well-laid out requirements document proves to be a major hindrance to carry out the process of Requirements Engineering efficiently. Over the years, several new algorithms and tools have been proposed using a diverse kind of techniques. In this paper, we propose and develop a framework to solve the conversion problem of informal ideas to well-structured requirements specifications document by automating the SRS development process.","PeriodicalId":334609,"journal":{"name":"2020 6th International Conference on Signal Processing and Communication (ICSC)","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115172587","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":"Internet of Things Architectural Elements, Challenges and Future Directions","authors":"R. Kushwah, Payal Khurana Batra, Arti Jain","doi":"10.1109/ICSC48311.2020.9182773","DOIUrl":"https://doi.org/10.1109/ICSC48311.2020.9182773","url":null,"abstract":"The Internet of Things (IoT) is an emerging paradigm that seamlessly integrates smart devices, sensor nodes, network gateways, actuators, radio frequency identification and merges various technologies such as pervasive computing, sensing techniques, embedded devices and ubiquitous computing in order to form an intelligent systems. The smart objects within the IoT environment not only gather information from physical world but also exchanges information through the Internet to develop a common operating framework. The data and information obtained from huge number of interconnected devices create services that bring tangible benefits to individual citizens and society. This paper presents the architectural elements and key features of IoT. In addition to identifying various challenges and application areas, we focus on future scope and open issues for world wide implementation of Internet of Things.","PeriodicalId":334609,"journal":{"name":"2020 6th International Conference on Signal Processing and Communication (ICSC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126442983","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}
Anant Agarwal, Harshit Rana, Vaibhav Vats, M. Saraswat
{"title":"Efficient Traffic Density Estimation Using Convolutional Neural Network","authors":"Anant Agarwal, Harshit Rana, Vaibhav Vats, M. Saraswat","doi":"10.1109/ICSC48311.2020.9182718","DOIUrl":"https://doi.org/10.1109/ICSC48311.2020.9182718","url":null,"abstract":"Measuring traffic density is a problem which has been extensively worked upon by the Computer Vision community. Various solutions have been proposed over the years which have surely attributed to the deepening of the field of image analysis but the most significant improvements have been made in recent years after the huge advancements in the area of Deep neural networks. In this paper, an efficient convolutional neural network has been proposed to estimate the traffic density. For the same, a new dataset of labeled images are generated from openly available traffic video footage. The method is compared with state-of-the-art method in terms of accuracy and loss. The results show the significant improvement in the traffic density estimation.","PeriodicalId":334609,"journal":{"name":"2020 6th International Conference on Signal Processing and Communication (ICSC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130626851","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":"A Review on Non-Invasive Biosensors for Early Detection of Lung Cancer","authors":"Manika Jha, Richa Gupta, R. Saxena","doi":"10.1109/ICSC48311.2020.9182775","DOIUrl":"https://doi.org/10.1109/ICSC48311.2020.9182775","url":null,"abstract":"According to the report of WHO, 2014, Lung Cancer has the highest death rate among men and women around the world. However, there is a lack of awareness about the early diagnosis and screening methods for Lung Cancer. Early diagnosis helps to reduce the rate of mortality, hence finding new ways to decrease the deaths due to Lung Cancer become the need of the hour. The existing clinical screening techniques used for detection are mostly imaging techniques or invasive methods. These methods either have low sensitivity or highly expensive for most people. The Present work aims to develop Non-Invasive sensors based on Optical, Electrochemical and Piezoelectric techniques. This Paper reviews the recent Non-Invasive biosensor-based screening techniques for Lung Cancer detection at early stages. Advanced development of Non-Invasive biosensors offers advantages of Portability, comfort, ease of use and low cost. This review paper outlines conventional techniques used for the detection process along with some newly developed Biosensors.","PeriodicalId":334609,"journal":{"name":"2020 6th International Conference on Signal Processing and Communication (ICSC)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130444635","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":"90 Km Transmission with 12X64 Hybrid Architecture for Access Networks","authors":"A. Singhal, Gurcharan Singh, V. Bhatia","doi":"10.1109/ICSC48311.2020.9182731","DOIUrl":"https://doi.org/10.1109/ICSC48311.2020.9182731","url":null,"abstract":"This paper proposes a 12X64 long haul optical passive access system that communicates at a cumulative line rate of 180 Gbps. Hybrid Time Division Multiplexing-Wavelength Division Multiplexing (TDM-WDM) technique is utilized for transmission of the information signal on twelve wavelengths for 768 subscribers. The system model utilizes Differential Phase Shift Keying (DPSK) modulation in downstream and re-modulation in upstream with downlink optical carrier signal. It helps in avoiding the use of a separate laser for transmission of the information bits in the uplink direction. Thus, suggesting economical solution for access networks where large number of subscribers shares the network infrastructure. The demonstrated architecture is tested for the impact of input signal power level on communicated information signals. Also, the system architecture is examined for finding the optimum light detector of the Optical Network Unit (ONU). It is therefore observed that the proposed system is a practical answer to meet the higher line rate requirements of multimedia streams in the access networks with longer network span.","PeriodicalId":334609,"journal":{"name":"2020 6th International Conference on Signal Processing and Communication (ICSC)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131407480","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":"BER Analysis of 60GHz Millimeter Wave over Free Space Optical Communication System","authors":"Ankur Sood, Rahul Kaushik","doi":"10.1109/ICSC48311.2020.9182756","DOIUrl":"https://doi.org/10.1109/ICSC48311.2020.9182756","url":null,"abstract":"Free Space Optical (FSO) communication link under clear weather conditions is affected by irradiance fluctuations caused due to random atmospheric temperature variations. In this work, bit error rate (BER) performance of free space optical (FSO) communication link is analysed. A 60 GHz millimeter wave is generated using frequency quadrupling technique and transmitted via free space optical (FSO) communication link. Different atmospheric turbulence conditions such as weak, moderate and strong are observed for FSO channel and corresponding simulation results have been obtained. Channel models such as Gamma-gamma model for strong atmospheric turbulence conditions and Log normal model for weak to moderate turbulence are considered to evaluate system bit error rate (BER). Further, BER performance is analysed for certain parameters such as transmitter antenna aperture diameter, receiving antenna aperture diameter, beam divergence and optical wavelength used.","PeriodicalId":334609,"journal":{"name":"2020 6th International Conference on Signal Processing and Communication (ICSC)","volume":"143 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115474943","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":"Smart Indoor Weather Monitoring Framework using IoT Devices and Cloud Computing","authors":"Prateek Goyal, Gaurav Prit, Manisha Bharti","doi":"10.1109/ICSC48311.2020.9182769","DOIUrl":"https://doi.org/10.1109/ICSC48311.2020.9182769","url":null,"abstract":"Environmental factors heavily influence human health. The parameters for the same and their monitoring, both in real time and long term, are of significant importance. The authors of the paper have carefully chosen the parameters and used various sensors to measure them. A group of such low-cost sensors has been networked through a Wi-Fi based microcontroller, the data of which was uploaded on a cloud server for easy accessibility and analysis. The cloud server ensures that the system and the real time stats can be accessed on an android-based smartphone application. What makes this system novel is the parameter selection, thorough monitoring and use of single analog pin of Node MCU microcontroller to multiplex two sensors using diodes.","PeriodicalId":334609,"journal":{"name":"2020 6th International Conference on Signal Processing and Communication (ICSC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115836757","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":"Smart Navigation System Using Air Quality Index","authors":"Ritik. S. Jain, Ishani Agarwal, Shubha Dwivedi, Shubham Singh, Archana Purwar, Dhanalekshmi Gopinathan","doi":"10.1109/ICSC48311.2020.9182777","DOIUrl":"https://doi.org/10.1109/ICSC48311.2020.9182777","url":null,"abstract":"With enlarging enormous urbanization and industrialization air pollution has developed a major danger to humankind. The rising traffic of vehicles in cities results into emanation of harmful gases which in turn increase air pollution level. Air pollution mainly constitutes of Ozone (O3), Oxides of Nitrogen, Particulate Matter (PM2.5),Carbon Monoxide (CO) and Particulate Matter (PM10). The requirement to answer for moving from the route which has less air pollution becomes a place of importance. This paper develops a smart navigation system in which air quality index and road Distance is taken into account to suggest safest and fastest route. It uses using A* algorithm to find the optimum path. It tends to minimize the harmful effect of air pollution.The proposed model is validated on data set for two different routes. Routes obtained from the proposed model are compared with routes obtained by Google Map.","PeriodicalId":334609,"journal":{"name":"2020 6th International Conference on Signal Processing and Communication (ICSC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116315623","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":"Spectral-Spatial Active Learning with Superpixel Profile for Classification of Hyperspectral Images","authors":"Kaushal Bhardwaj, A. Das, Swarnajyoti Patra","doi":"10.1109/ICSC48311.2020.9182764","DOIUrl":"https://doi.org/10.1109/ICSC48311.2020.9182764","url":null,"abstract":"Hyperspectral image (HSI) classification has to deal with scarcity of training samples. Active learning (AL) methods are employed in the literature for generating informative training samples. Most of the existing AL methods are based on spectral values alone. In this paper we propose a spectral-spatial AL model for classification of HSI having limited training samples. In the proposed model first the spectral and spatial information of the HSI is integrated by constructing an extended superpixel profile (ESPP). To this end, the dimension of HSI is reduced using principal component analysis and a superpixel profile (SPP) is constructed for each component image. The SPP is constructed by concatenating the component image with the results obtained by applying the simple linear iterative clustering technique and replacing with average values of superpixel considering a sequence of superpixel thresholds. The pixels are replaced with the ESPP features. Next a query function based on uncertainty, diversity, cluster-assumption and their combination are applied iteratively to select batch of most informative samples for including in training set. Experiments are conducted on two real HSI data sets in which the proposed model is compared with the models based on spectral values alone and the spectral-spatial model based on extended attribute profile. The AL methods in the proposed model has outperformed all the state-of-the-art AL methods.","PeriodicalId":334609,"journal":{"name":"2020 6th International Conference on Signal Processing and Communication (ICSC)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127883728","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}