{"title":"RSSI Based Positioning System for WSN with improved Accuracy","authors":"K. Akhil, K. Seethalakshmi, Somnath Sinha","doi":"10.1109/ICSPC51351.2021.9451801","DOIUrl":"https://doi.org/10.1109/ICSPC51351.2021.9451801","url":null,"abstract":"Finding location accurately in sensor network is a major issue. There are different approaches for localization categorizes as range based and range free. Through this research work we have increases the localization accuracy by iterative methods to gain the maximum possible accuracy level. The method starts with a rough base value by assuming the location using RSSI based weighted centroid methods and goes through several steps by using the basic rules for drawing a triangle. We have tested our methodology using COOJA simulator and it is proved that the method converges with high accuracy in few steps.","PeriodicalId":182885,"journal":{"name":"2021 3rd International Conference on Signal Processing and Communication (ICPSC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121277713","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}
P. Nagabushanam, Neema C Jayan, Antony Joel, S. Radha
{"title":"CNN Architecture for Diabetes Classification","authors":"P. Nagabushanam, Neema C Jayan, Antony Joel, S. Radha","doi":"10.1109/ICSPC51351.2021.9451724","DOIUrl":"https://doi.org/10.1109/ICSPC51351.2021.9451724","url":null,"abstract":"Machine Learning (ML) algorithms deal with only linear data and here comes the necessity of deep learning (DL) algorithms to deal with non-linear input datas. Also, memory requirements and computational costs are addressed by DL algorithms used for classification for medical applications. In this paper, we have used convolutional neural network (CNN) which is the basic deep learning algorithm for 2-way diabetes classification. It helps in attaining better accuracy, kappa coefficient which are premier metrics to decide performance of classification. Simulations are carried out using python.","PeriodicalId":182885,"journal":{"name":"2021 3rd International Conference on Signal Processing and Communication (ICPSC)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115073935","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 High Speed Montgomery Multiplier used in Security Applications","authors":"S. S, N. S, R. S, K. V","doi":"10.1109/ICSPC51351.2021.9451717","DOIUrl":"https://doi.org/10.1109/ICSPC51351.2021.9451717","url":null,"abstract":"Security plays a major role in data transmission and reception. Providing high security is indispensable in communication systems. The RSA (Rivest–Shamir–Adleman) cryptosystem is used widely in cryptographic applications as it offers highly secured transmission. RSA cryptosystem uses Montgomery multipliers and it involves modular exponentiation process which is attained by performing repeated modular-multiplications. This leads to high latency and owing to improve the speed of multiplier, highly efficient modular multiplication methodology needs to be applied. In the conventional methodology, Carry Save Adder (CSA) is used in the multiplication and it consumes more area and it has larger delay, but in the suggested methodology, the Reverse Carry Propagate (RCP) adder is used in the place of CSA adder and the obtained output shows promising results in terms of area and latency. The simulation is done with Xilinx ISE design suite. The proposed multiplier can be used effectively in signal processing, image processing and security based applications.","PeriodicalId":182885,"journal":{"name":"2021 3rd International Conference on Signal Processing and Communication (ICPSC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126524181","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":"Hispa Rice Disease Classification using Convolutional Neural Network","authors":"Rishabh Sharma, V. Kukreja, Virender Kadyan","doi":"10.1109/ICSPC51351.2021.9451800","DOIUrl":"https://doi.org/10.1109/ICSPC51351.2021.9451800","url":null,"abstract":"The current work focuses on implementing a rice disease detection (RDD) system on hispa rice disease by using real-time rice plant images collected from rice fields of Punjab, trained on a CNN-based deep learning model. The dataset first gets preprocessed using a Matlab tool and then splits up into 70 to 30 ratio which further gets trained and validated on a proposed CNN model results in an accuracy of 94%. The motivation behind the proposed work is due to an unavailability of a system for RDD in case of hispa disease gave rise to a need for an efficient and trained system that will be useful for the detection of rice hispa disease.","PeriodicalId":182885,"journal":{"name":"2021 3rd International Conference on Signal Processing and Communication (ICPSC)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115474082","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}
K. Keshav Sai Chowdary, K. Mourya, S. Ravi Teja, G. Suresh Babu, S. Sridevi sathya priya
{"title":"Design of Efficient 16-bit Vedic Multiplier","authors":"K. Keshav Sai Chowdary, K. Mourya, S. Ravi Teja, G. Suresh Babu, S. Sridevi sathya priya","doi":"10.1109/ICSPC51351.2021.9451757","DOIUrl":"https://doi.org/10.1109/ICSPC51351.2021.9451757","url":null,"abstract":"In this paper, we propose the implementation of an efficient Vedic multiplier. It is implemented in Xilinx 2018 using the VHDL language. The design is done by using structural modeling using components such as half adders, full adders, AND gate, and OR gate, which is port mapped to the inputs and outputs accordingly.","PeriodicalId":182885,"journal":{"name":"2021 3rd International Conference on Signal Processing and Communication (ICPSC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122877449","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":"The State of the art tools and techniques for remote digital forensic investigations","authors":"K. Maheswari, G. Shobana","doi":"10.1109/ICSPC51351.2021.9451718","DOIUrl":"https://doi.org/10.1109/ICSPC51351.2021.9451718","url":null,"abstract":"Remote forensic techniques are widely searched in these days for its response capability in providing a way to perform evaluation of potentially compromised devices without physically accessing them. Discreet internal investigations are possible in remote forensics without the knowledge of the system owner. The need for eliminating the cost and time delays involved in delivering digital forensic capabilities to remote locations all around the world is profoundly increasing. This paper analyses various methodologies currently in force for remote forensic investigation. Different state of the art software and hardware tools and techniques are compared for performing different stages of investigation. Comparison tables presented for the understanding of merits, demerits, challenges and opportunities involved in those techniques. The overall intent of this paper is to perform comparative analysis based on qualitative outputs observed from memory, timeline and live forensics imaging on an incident that can simplify the process of finding out more appropriate technique under varying circumstances for effective remote forensic investigation.","PeriodicalId":182885,"journal":{"name":"2021 3rd International Conference on Signal Processing and Communication (ICPSC)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124773989","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}
R. Chandrasekhar, R. Navya, P. Kumari, K. Kausal, V. Bharathi, Poonam Singh
{"title":"Performance Evaluation of MIMO-NOMA for the Next Generation Wireless Communications","authors":"R. Chandrasekhar, R. Navya, P. Kumari, K. Kausal, V. Bharathi, Poonam Singh","doi":"10.1109/ICSPC51351.2021.9451780","DOIUrl":"https://doi.org/10.1109/ICSPC51351.2021.9451780","url":null,"abstract":"The principal objective of this paper is the performance evaluation of Multi-Input Multi-Output Non-Orthogonal Multiple Access (MIMO-NOMA) for Next Generation Wireless Communication Systems. The efficiency of the MIMO-NOMA technique over Non-Orthogonal Multiple Access (NOMA) and Orthogonal Multiple Access (OMA) is examined by using distinct parameters, in particular, Power Allocation (PA), Bit Error Rate (BER), Outage Probability (OP), and Channel Capacity (CC). A system model for MIMO is assumed for the two-user scenario. A Rayleigh fading channel is assumed between the Transmitter and the receiver. By using Rayleigh fading channel coefficients, calculated the achievable rates and SNR equations for all techniques and then compared each parameter with others. Finally, the simulation results are provided to facilitate the performance analysis of MIMO-NOMA for a next-generation wireless communication system and also demonstrate the accuracy of the developed analytical results.","PeriodicalId":182885,"journal":{"name":"2021 3rd International Conference on Signal Processing and Communication (ICPSC)","volume":"9 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123454738","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":"Testing the quality of cereals and pulses using LabVIEW","authors":"M. T., N. M., N. M, Megha T D, Nandha Kumar A","doi":"10.1109/ICSPC51351.2021.9451799","DOIUrl":"https://doi.org/10.1109/ICSPC51351.2021.9451799","url":null,"abstract":"Use of the best quality Cereals and pulses are very important for the satisfactory production of a good crop, food processing and also essential for the exporting markets. Based on the purity and quality of cereals and pulses, they are graded. In this project, we use LabVIEW for digital image processing techniques for testing the shape and size of various cereals and pulses. Also, the presence of dust and stone particles is identified. According to the level of quality, the Cereals and pulses are classified into three categories which are shown in three indicators (Green-1st grade, yellow-2nd grade, red-3rd grade). This will be helpful to increase the speed, accuracy and decrease the time of testing. The wetness of cereals and pulses is determined for long time storage. For this moisture level is given to LabVIEW with the help of Arduino as a DAQ. The moisture alert buzzer is triggered by LabVIEW.","PeriodicalId":182885,"journal":{"name":"2021 3rd International Conference on Signal Processing and Communication (ICPSC)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129719263","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":"Surface Electromyogram Based Techniques for Upper and Lower Extremity Rehabilitation Therapy - A Comprehensive Review","authors":"A. Mathew, P. Rajalakshmy","doi":"10.1109/ICSPC51351.2021.9451814","DOIUrl":"https://doi.org/10.1109/ICSPC51351.2021.9451814","url":null,"abstract":"In the last few decades, prosthetics has gained a noteworthy advancement within the therapeutic and bio-mechanics field. Prosthesis is originally a part of the bio-mechanics field, the science of combining electro-mechanical devices with human muscles, skeleton, nervous systems, etc. The prosthetic limbs are fantastically valuable to amputees in delivering their daily work, thereby providing a great support in the patient rehabilitation. This article focuses on the background of upper and lower limb prosthetics, the signal processing techniques, classification algorithms used and its applications for patient rehabilitation. Surface EMG (sEMG) based prostheses has been picking up in the rehabilitation field as technology progresses. The limb with EMG sensors measures and decode the electrical impulses in the muscles of the residual limb and then translate it into movement. Thus, the user is able to activate the bionic limb on his own thinking. Such developing novel technologies has revolutionized the field of prosthetics. It could be a milestone in bridging the gap between disability and ability, between human limitation and human potential.","PeriodicalId":182885,"journal":{"name":"2021 3rd International Conference on Signal Processing and Communication (ICPSC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129163873","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}
N. Rani, T. R. Pruthvi, Aishwarya Govinda Rao, N. Bipin
{"title":"Automated Text line Segmentation and Table detection for Pre-Printed Document Image Analysis Systems","authors":"N. Rani, T. R. Pruthvi, Aishwarya Govinda Rao, N. Bipin","doi":"10.1109/ICSPC51351.2021.9451779","DOIUrl":"https://doi.org/10.1109/ICSPC51351.2021.9451779","url":null,"abstract":"Document Image Processing is considered one of the widely used technologies today. It has proved to be extremely useful in digitizing physical documents to preserve them for longer times. The primary challenge in this work is to extract the overlapping lines from handwritten document images and table detection from pre-printed documents. In this research paper, we present a line segmentation and table detection algorithm suitable for pre-printed and handwritten documents. Initially, the input document image is preprocessed and a baseline is created for offline every peak to carry out line segmentation. Further, table detection is accomplished with the use of edge detection techniques and morphological operations","PeriodicalId":182885,"journal":{"name":"2021 3rd International Conference on Signal Processing and Communication (ICPSC)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127667488","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}