2019 2nd International Conference on Signal Processing and Communication (ICSPC)最新文献

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Comparitive Analysis on Transformation based Watermarking 基于变换的水印比较分析
2019 2nd International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2019-03-01 DOI: 10.1109/ICSPC46172.2019.8976716
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}
引用次数: 2
Need for Big Data Technologies: A Review 大数据技术的需求:综述
2019 2nd International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2019-03-01 DOI: 10.1109/ICSPC46172.2019.8976853
Amit Kumar, Suresh Kumar
{"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}
引用次数: 0
Design of Dual-band Monopole Antenna for Mobile Communications 用于移动通信的双频单极天线设计
2019 2nd International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2019-03-01 DOI: 10.1109/ICSPC46172.2019.8976789
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}
引用次数: 2
Sequential Segmentation of EEG Signals for Epileptic Seizure Detection using Machine Learning 脑电信号序列分割用于癫痫发作检测的机器学习
2019 2nd International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2019-03-01 DOI: 10.1109/ICSPC46172.2019.8976487
Zeba Karin Ahmad, Vikram Singh, Y. Khan
{"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}
引用次数: 1
Design of Multiple Frequency Microstrip Antenna for Mine Applications 矿用多频微带天线的设计
2019 2nd International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2019-03-01 DOI: 10.1109/ICSPC46172.2019.8976650
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}
引用次数: 0
Classifiers in IRIS Biometrics for Personal Authentication 用于个人身份验证的IRIS生物识别分类器
2019 2nd International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2019-03-01 DOI: 10.1109/ICSPC46172.2019.8976823
S. Pradeepa, R. Anisha, Winston J Jenkin
{"title":"Classifiers in IRIS Biometrics for Personal Authentication","authors":"S. Pradeepa, R. Anisha, Winston J Jenkin","doi":"10.1109/ICSPC46172.2019.8976823","DOIUrl":"https://doi.org/10.1109/ICSPC46172.2019.8976823","url":null,"abstract":"Machine learning is that which provides the systems the ability to improve on experience without being programmed. Higher accuracy rate is a challenging problem with Iris biometrics. In this paper the best performance based on the classifiers for iris biometric is identified. The normalized iris images are downloaded from IIT Delhi database. The features are extracted from normalized iris images using the techniques such as histogram and wavelet transform. The extracted features are then classified using Neural Networks and Support Vector Machine. The study shows that support vector machine has far better recognition rate than back propagation neural network. The proposed technique provides accuracy at the rate of 96.7% than the neural network.","PeriodicalId":321652,"journal":{"name":"2019 2nd International Conference on Signal Processing and Communication (ICSPC)","volume":"76 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":"124679393","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}
引用次数: 3
Validation Scheme for VANET VANET的验证方案
2019 2nd International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2019-03-01 DOI: 10.1109/ICSPC46172.2019.8976645
Gaberiel A Issac, Anita Jones Mary
{"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}
引用次数: 3
Driver State Analysis for ADAS using EEG Signals 基于脑电信号的ADAS驱动状态分析
2019 2nd International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2019-03-01 DOI: 10.1109/ICSPC46172.2019.8976799
Aishwarya Kulkarni, A. Nandi, P. Nissimagoudar
{"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}
引用次数: 2
Transformer Coupled Voltage Controlled Oscillator Using 180nm Technology in Cadence Tool Cadence工具中180nm技术的变压器耦合压控振荡器
2019 2nd International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2019-03-01 DOI: 10.1109/ICSPC46172.2019.8976679
S. Radha, D. Shylu, Priya M.S. Sanchana, Christobel Dianna, T. Aishwarya, Hepziba S Selvamani
{"title":"Transformer Coupled Voltage Controlled Oscillator Using 180nm Technology in Cadence Tool","authors":"S. Radha, D. Shylu, Priya M.S. Sanchana, Christobel Dianna, T. Aishwarya, Hepziba S Selvamani","doi":"10.1109/ICSPC46172.2019.8976679","DOIUrl":"https://doi.org/10.1109/ICSPC46172.2019.8976679","url":null,"abstract":"VCO finds role in a wide variety of applications. The frequency of the signal generated by VCO depends on its input signal. Anti phase coupling is generally followed in VCOto obtain minimum chip area. But in such designs the dc coupling and phase noise is higher. In this work, quadrature phase coupling is used with the help of transformer to decrease phase noise in VCO and it is designed in cadence 180nm technology. The DC and AC analysis of VCO are shown. By the concept of injection locking in VCO circuit, the quadrature error is also reduced.","PeriodicalId":321652,"journal":{"name":"2019 2nd International Conference on Signal Processing and Communication (ICSPC)","volume":"40 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":"125756796","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}
引用次数: 1
A Smart Irrigation System to Automate Irrigation Process Using IOT and Artificial Neural Network 利用物联网和人工神经网络实现灌溉过程自动化的智能灌溉系统
2019 2nd International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2019-03-01 DOI: 10.1109/ICSPC46172.2019.8976631
Sachin Aggarwal, Adarsh Kumar
{"title":"A Smart Irrigation System to Automate Irrigation Process Using IOT and Artificial Neural Network","authors":"Sachin Aggarwal, Adarsh Kumar","doi":"10.1109/ICSPC46172.2019.8976631","DOIUrl":"https://doi.org/10.1109/ICSPC46172.2019.8976631","url":null,"abstract":"In the today's world we are growing towards the automation of day to day daily life task in which we are focused on creation of smart cities, smart home etc. which includes a lot of work which deals with automation of task using Artificial Intelligence, Internet of Things and machine Learning. These technologies are widely used to creates a system for automation of different tasks. In this technology driven society there is a need of creation of a system to automate the process of irrigation of crops to help farmers. The currently used system includes a lot of human efforts, money and time which will not be required after the development of an automated irrigation system. In this there is a need of creating a system which can collect data then analyze that date and generate results in real time. also, the overall cost should be low enough so that a farmer can afford it. In this paper we are focusing on creating a low-cost smart device which can be used to collect the data of moisture in soil at different places, pH and temperature of soil. We focus of creating a device with Arduino along with some sensors and modules to collect these data at different places in farm. After collecting this data this device will send this data to server with the help of a Wi-Fi module attached to the device. At the same time, we are using an Artificial Neural Network model for the analysis of this data for generating high accuracy results. Finally based on the results the device triggers a valve to automatically start and stop the flow of water in the farm.","PeriodicalId":321652,"journal":{"name":"2019 2nd International Conference on Signal Processing and Communication (ICSPC)","volume":"1 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":"122425155","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}
引用次数: 16
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