T. Reddy, D. S. Reddy, A. Nihar, M. Sumanth, J. Anitha
{"title":"Comparitive Analysis on Transformation based Watermarking","authors":"T. Reddy, D. S. Reddy, A. Nihar, M. Sumanth, J. Anitha","doi":"10.1109/ICSPC46172.2019.8976716","DOIUrl":"https://doi.org/10.1109/ICSPC46172.2019.8976716","url":null,"abstract":"Steganography is used to hide information, such as an image into an image. Secrecy is one of the moral concepts in the medical field for securing patient records. This paper presents a comparison based on image transformation in digital steganography using medical images. Discrete wavelet transform and Ridgelet transformation are the two transformation techniques being compared where both the transformations use singular value decomposition for embedding the secret image into the cover image. Arnold transformation is applied to patient record (secret image) in order to scramble the image before transformation. The results show the comparative analysis of both transformation based watermarking schemes.","PeriodicalId":321652,"journal":{"name":"2019 2nd International Conference on Signal Processing and Communication (ICSPC)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122179737","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":"Need for Big Data Technologies: A Review","authors":"Amit Kumar, Suresh Kumar","doi":"10.1109/ICSPC46172.2019.8976853","DOIUrl":"https://doi.org/10.1109/ICSPC46172.2019.8976853","url":null,"abstract":"To achieve better innovation and growth, its highly required to use the analytics and extract required value from the huge amount of data available these days. Complex problems have been solving by leading companies using Big Data technologies. Big Data is the term refer the huge amount of data generating with a very high rate and in different formats (structured, semi structure and unstructured). We have described the five V's of Big Data technologies including Volume, Velocity, Variety, Veracity and Value. Map and reduce function are also explained in this paper. Various sources are generating this data as social media, share trading and online transactions. In this paper we have diagrammatically represent the work flow of the Big Data technologies. This paper also discusses some Big data technologies, various advantages and disadvantages of Big Data technologies are led finally to the conclusion and future scope.","PeriodicalId":321652,"journal":{"name":"2019 2nd International Conference on Signal Processing and Communication (ICSPC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133490955","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}
J. Princess, G. S. Let, P. Rizopackiamary, J. Keziah
{"title":"Design of Dual-band Monopole Antenna for Mobile Communications","authors":"J. Princess, G. S. Let, P. Rizopackiamary, J. Keziah","doi":"10.1109/ICSPC46172.2019.8976789","DOIUrl":"https://doi.org/10.1109/ICSPC46172.2019.8976789","url":null,"abstract":"This paper displays a microstrip-fed monopole antenna utilized for mobile applications. Using truncated ground plane structure and stepped rectangular patch the designed antenna can operate in dual-band such as 2G and 5G mobile communication band. The antenna performance is evaluated using simulations and exploratory outcomes demonstrate that at 3.5GHz and 1.8GHz the return loss is −37dB and −14dB respectively. The omnidirectional Fresnel pattern/near field pattern is achieved in the H-plane for the frequency band of intrigue.","PeriodicalId":321652,"journal":{"name":"2019 2nd International Conference on Signal Processing and Communication (ICSPC)","volume":"79 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134634755","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":"Product of Implication-Based Intuitionistic Anti-Fuzzy Subgroups of Finite Groups","authors":"M. Selvarathi","doi":"10.1109/ICSPC46172.2019.8976556","DOIUrl":"https://doi.org/10.1109/ICSPC46172.2019.8976556","url":null,"abstract":"Fuzzy implications play a key role in fuzzy control, fuzzy logic systems, fuzzy decision theory, expert systems etc. In this research paper, the notions of implication-based intuitionistic anti-fuzzy subgroup and implication-based intuitionistic anti-fuzzy normal sub- group of a group are applied and implication-based intuitionistic anti-fuzzy direct product of implication-based intuitionistic anti-fuzzy subgroups is developed. Few fundamental properties concerning them are proved.","PeriodicalId":321652,"journal":{"name":"2019 2nd International Conference on Signal Processing and Communication (ICSPC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134608447","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}
Hong Lin, K. M. Chaitra, G. A. Prabhu, V. Rajinikanth
{"title":"Analyzing Dermoscopy Images using Soft-Computing Tools","authors":"Hong Lin, K. M. Chaitra, G. A. Prabhu, V. Rajinikanth","doi":"10.1109/ICSPC46172.2019.8976798","DOIUrl":"https://doi.org/10.1109/ICSPC46172.2019.8976798","url":null,"abstract":"Recently, a significant quantity of image examination events are proposed and implemented to examine the RGB scaled dermoscopy images. In this work, soft-computing assisted image inspection scheme is applied to extract the suspicious fragment from the Skin Melanoma (SM) images. SM is the pervasive cancers in humans which lead to casualty when it is ignored. The proposed work implements a hybrid image examination tool to extort the SM fragment from both the conventional as well as noise stained images. The noise stained images are considered to test the robustness of the soft-computing tool. This study implements the Kapur's Thresholding (KT) to pre-process the picture and Chan-Vese segmentation to extract the suspicious section. The complete work is implemented on the benchmark dermoscopy datasets and the superiority of the proposed method is confirmed by calculating the essential similarity constraints with a qualified assessment linking the extracted section and the ground truth. The investigational outcome of this study validates that, proposed tool helps to achieve an average similarity measure of >92% for the normal image and >88% for noise stained image.","PeriodicalId":321652,"journal":{"name":"2019 2nd International Conference on Signal Processing and Communication (ICSPC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134394665","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}
A. Paul, A. U. Keerthana, D. Sugumar, G. Thennarasi, Prakash
{"title":"Design of Rectangular Array Microstrip Patch Antenna for Improved Return Loss","authors":"A. Paul, A. U. Keerthana, D. Sugumar, G. Thennarasi, Prakash","doi":"10.1109/ICSPC46172.2019.8976698","DOIUrl":"https://doi.org/10.1109/ICSPC46172.2019.8976698","url":null,"abstract":"A rectangular patch array antenna of size 2*1 and 4*1 with inset feed for S band applications are designed. The main objectives of this work are to improve the gain and return loss of the antenna. Both the arrays are designed to operate at the resonant frequency of 2. 45GHz. The antenna is designed by using a substrate called Poly tetra fluoro ethylene (Teflon). It is a flexible material. It is chemically inert, highly insoluble and thermally stable. The performance of two arrays are compared out of which 4*1 array is found to be better in terms of gain and return loss.","PeriodicalId":321652,"journal":{"name":"2019 2nd International Conference on Signal Processing and Communication (ICSPC)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131843319","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":"Sequential Segmentation of EEG Signals for Epileptic Seizure Detection using Machine Learning","authors":"Zeba Karin Ahmad, Vikram Singh, Y. Khan","doi":"10.1109/ICSPC46172.2019.8976487","DOIUrl":"https://doi.org/10.1109/ICSPC46172.2019.8976487","url":null,"abstract":"The problem of epilepsy has grown exponentially and is now considered as one of the most prevailing neurological disorders affecting around 50 million people around the globe. Epilepsy is identified by analyzing the interictal activity present in the EEG signal. Visual analysis of EEG is a tedious process and subject to human error. This work proposes a robust method to ease the burden of intractable seizures by automatic recognition of ictal epileptiform activity in the EEG of epileptic patients. The classification between EEG having an epileptic seizure and non-seizure is done using various machine learning algorithms. The classifiers used are Simple Decision tree, Quadratic Discriminant, Medium Gaussian SVM, Bagged Trees, and Subspace k-NN. The performance is assessed using 10-fold cross-validation.","PeriodicalId":321652,"journal":{"name":"2019 2nd International Conference on Signal Processing and Communication (ICSPC)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117262894","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}
Jilaker Eshwari Easha, D. Sugumar, Rhea Mariam Roby, Aastha Arora, Philip Roland Oliver
{"title":"Design of Multiple Frequency Microstrip Antenna for Mine Applications","authors":"Jilaker Eshwari Easha, D. Sugumar, Rhea Mariam Roby, Aastha Arora, Philip Roland Oliver","doi":"10.1109/ICSPC46172.2019.8976650","DOIUrl":"https://doi.org/10.1109/ICSPC46172.2019.8976650","url":null,"abstract":"In this paper, an antenna with L shaped slots adjacent to each other is presented. The return loss and the VSWR have been found to be ideal which are less than −10dB and 1.5dB respectively. The antenna resonates between 1GHz to 3GHz by displaying acute antenna characteristics at 1.6GHz, 2.0GHz and 2.5GHz. Due to low frequency range they are compatible for medical purposes.","PeriodicalId":321652,"journal":{"name":"2019 2nd International Conference on Signal Processing and Communication (ICSPC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115257327","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":"Driver State Analysis for ADAS using EEG Signals","authors":"Aishwarya Kulkarni, A. Nandi, P. Nissimagoudar","doi":"10.1109/ICSPC46172.2019.8976799","DOIUrl":"https://doi.org/10.1109/ICSPC46172.2019.8976799","url":null,"abstract":"This paper discusses about the driver state analysis for Advanced Driver Assistance System (ADAS) application in automotive and check whether the driver is drowsy or alert. Driver state analysis is one of the important tasks in today's automotive. In this paper, EEG signals are used for driver state analysis. The sleep data set for analysis is obtained from Physionet. The study of characteristics of EEG signals and its different frequency rhythms like gamma, beta, alpha, theta and delta. The drowsy state indication is observed in alpha and theta frequency rhythms. The data is pre-processed to remove artifacts and features representing drowsiness are extracted. The feature reduction techniques are used to reduce the humongous features whose computation time is more during classification. ADAS application should produce quick response for the analysis of EEG signal, hence the algorithm used to classify the driver state (drowsy/alert) should have less computational time. The comparison of computational time and accuracy of different classification algorithms like SVM and logistic regression is done and the best algorithm with less computational time and more accuracy is selected. The proposed method is used to analyse the driver state and further to analyze different sleep stages for clinical purposes.","PeriodicalId":321652,"journal":{"name":"2019 2nd International Conference on Signal Processing and Communication (ICSPC)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125168062","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":"Validation Scheme for VANET","authors":"Gaberiel A Issac, Anita Jones Mary","doi":"10.1109/ICSPC46172.2019.8976645","DOIUrl":"https://doi.org/10.1109/ICSPC46172.2019.8976645","url":null,"abstract":"The vital feature of VANET is validation or security. As VANET is prone to different security breaches like Denial of Service because it reduces the speed of the messages. In this regard, modified prediction-based authentication scheme (PBA) has been exploited to defend DoS attack in VANET, thereby to mitigate packet loss caused by the vehicle's mobility. The main objective is to reduce the validation delay for emergency vehicles such as ambulance, fire service, etc. PBA is designed such that the sender vehicles cannot predict the beacons. The results have proved that this mechanism is safe.","PeriodicalId":321652,"journal":{"name":"2019 2nd International Conference on Signal Processing and Communication (ICSPC)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123887081","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}