S. Allwin Devaraj, B. Nisharni, S. Mala, T. Mutharasi
{"title":"Improved Reversible Data Hiding Schemes Based On Invariant Image Classification","authors":"S. Allwin Devaraj, B. Nisharni, S. Mala, T. Mutharasi","doi":"10.1109/ICRAECC43874.2019.8995012","DOIUrl":"https://doi.org/10.1109/ICRAECC43874.2019.8995012","url":null,"abstract":"Reversible data hiding is the technique that allows several confidential data to be hidden or embedded inside the cover image. The cover image with confidential data is called marked image. The data which is hidden cannot be visible to normal eyes. In reversible data hiding the appropriate receiver can extract the message which is hidden inside the marked image. In addition to that the receiver can restore the original cover image back without or with minimum distortion. Hidden data can be retrieved as required and the exact copy of the original image is retrieved. The higher the capacity the more confidential information can be embedded inside the image. When more confidential data are hidden and at data extraction process some distortions may occur in the original cover image. To achieve reversible data hiding with less distortion improved recursive code construction is used in this paper. Improved recursive code construction reaches the distortion bound by increasing the embedding capacity. To reduce the distortion and to achieve more reversibility reference image is obtained before embedding so that more data can be embedded with less distortion.","PeriodicalId":137313,"journal":{"name":"2019 International Conference on Recent Advances in Energy-efficient Computing and Communication (ICRAECC)","volume":"25 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":"128108302","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":"Delay and Energy Efficient Data Collection in Wireless Sensor Networks","authors":"A. A. Reshme","doi":"10.1109/ICRAECC43874.2019.8995170","DOIUrl":"https://doi.org/10.1109/ICRAECC43874.2019.8995170","url":null,"abstract":"Wireless Sensor Networks (WSNs) are usually self-organized wireless ad hoc networks composed by a large number of low-cost micro sensor nodes. These nodes are small in size and are operated by battery sources which cannot be easily replaced or recharged. Due to energy constraint, the node must complete a specified task with minimum energy dissipation and prolong the network’s lifetime. In WSN during the data transmission phase sleep/wake-up scheduling is also one of the fundamental problems. The purpose of sleep/wake-up scheduling is to save the energy of each node by keeping nodes in sleep mode as long as possible and thereby increasing their lifetime. In this paper, a Self Adaptive-Sleep/Wake-up Scheduling (SA-SWS) protocol using Cooperative Media Access Control (CMAC) helps to allocate the timeslots to forward data from the source to sink. The nodes which are having the highest residual energy are selected as the forwarding nodes. In this approach, the reinforcement learning technique, was used to enable each node to autonomously decide its own operation mode (sleep, listen, transmit) in a decentralized manner. Simulation results demonstrate the good performance compared with the other approach for above mentioned problem.","PeriodicalId":137313,"journal":{"name":"2019 International Conference on Recent Advances in Energy-efficient Computing and Communication (ICRAECC)","volume":"48 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":"133462082","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 Comparative Analysis of Circular and Hexagonal Split Ring Resonator for Reduction of Mutual Coupling Effect","authors":"Pradeep A S, G. Bidkar","doi":"10.1109/ICRAECC43874.2019.8995069","DOIUrl":"https://doi.org/10.1109/ICRAECC43874.2019.8995069","url":null,"abstract":"A comparative analysis of circular shaped split ring resonators (CSRR), hexagonal shaped split ring resonators (HSRR) and their incorporation with 1x2 microstrip patch antenna array to suppress the effect of mutual coupling is proposed in this paper. By incorporating CSRR and HSRR metamaterial structure near the right side of the conventional radiating patch antenna array with resonating frequency of 2.4 GHz, the isolation of 12.17 dB and 13.88 dB is achieved respectively without altering the resonating frequency and radiation characteristics. The performance of the suggested antenna array with CSRR and HSRR has been assessed using HFSS simulator and may be used for ISM band application.","PeriodicalId":137313,"journal":{"name":"2019 International Conference on Recent Advances in Energy-efficient Computing and Communication (ICRAECC)","volume":"35 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":"122410116","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 Comprehensive Review on Accurate QRS and T Wave Detection Techniques for Confirming Cardiac Abnormalities","authors":"P. Harikrishna, Shaik Jakeer Hussain","doi":"10.1109/ICRAECC43874.2019.8995091","DOIUrl":"https://doi.org/10.1109/ICRAECC43874.2019.8995091","url":null,"abstract":"The Electro Cardiogram Signals (ECG) are utilized for detecting cardiac abnormalities for more than a century, since cardiac-related diseases are considered as the primary cause of death for the increasing degree of patients over the years around the world. Heart Variability investigation schemes are determined to be the potential cardiac rhythms automatic classification techniques for precise assessments of rhythm disorders. However, accurate QRS and T wave detection techniques are identified for effective and reliable HRV interpretation process. This review presents the role, merits and limitations of the most recent QRS and T Wave detection techniques proposed in the literature in the last three years for confirming Cardiac Abnormalities. This survey presents a diversified number of evaluation metrics that could used for determining the predominance of the reviewed schemes. This survey also presents a list of open research issues and challenges that could be focused by the growing researchers around the world.The major outcome of the survey concentrated on the determination of merit and limitations of the existing QRS and T Wave detection techniques in order to propose future research that confirms cardiac abnormalities with minimized overhead.","PeriodicalId":137313,"journal":{"name":"2019 International Conference on Recent Advances in Energy-efficient Computing and Communication (ICRAECC)","volume":"9 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":"123920891","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. G. Rani Roopha Devi, R. Mahendra Chozhan, R. Murugesan
{"title":"Cognitive IoT Integration for Smart Healthcare: Case Study for Heart Disease Detection and Monitoring","authors":"K. G. Rani Roopha Devi, R. Mahendra Chozhan, R. Murugesan","doi":"10.1109/ICRAECC43874.2019.8995049","DOIUrl":"https://doi.org/10.1109/ICRAECC43874.2019.8995049","url":null,"abstract":"with the fast advancement in medical and computer technologies, healthcare systems turns to be an interesting topic for both academia and researchers. Moreover, some of the healthcare systems are not successful in analyzing the emergency circumstances of patients and incapable to offer personalized service resources for patients. To address this crisis, in this investigation, an IoT based Cognitive computing [C-IoT] for smart healthcare system has been anticipated. In the proposed C-IoT method, ECG sensors transmit and record ECG signals from patients. This C-IoT is capable to analyze user’s physical health using cognitive computing. It also deals with the cognitive framework for making real time decisions over further activities and transmits the data to Convolutional Neural Network module. The proposed system examines the state of patients with Latent semantic Analysis [LSA]. LSA act as a minimization procedure to identify the severity of patient’s condition. The results are provided to the doctors to monitor the patients. The experimental results show better trade off than the conventional deep learning approach. The accuracy of 99.30% and sensitivity of 94% of LSA with CNN method has increased correspondingly.","PeriodicalId":137313,"journal":{"name":"2019 International Conference on Recent Advances in Energy-efficient Computing and Communication (ICRAECC)","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":"126948059","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":"Evaluation of Shallow Underwater Acoustical Communication Model for Attenuation and Propagation Loss for Aqueous Solution of Sodium Chloride","authors":"Sweta Panchal, J. Pabari","doi":"10.1109/ICRAECC43874.2019.8995039","DOIUrl":"https://doi.org/10.1109/ICRAECC43874.2019.8995039","url":null,"abstract":"The behavioral study of underwater acoustic wave propagation in shallow bound water is well established to examine various physical properties. In particular, changes occurring in shallow underwater tank as physical medium. In underwater the radio and optical waves cannot broadcast over longer distances, acoustic waves are used for the study. To analyze the performance of acoustic waves, and hence is characterized by various physical parameters. The acoustic channel is affected by transmission loss, multipath propagation and time varying characteristics. Earlier studies proposed various models to understand various phenomenons undergoing in underwater acoustic sensor network. In this article, model is proposed for attenuation losses occurring in environment of raw water, concentrated with certain amount of sodium chloride such water is typical in urban and rural applications. The proportional relationship exists between attenuation and frequency under constant hydrostatic pressure and change in depth till 1000 meters.","PeriodicalId":137313,"journal":{"name":"2019 International Conference on Recent Advances in Energy-efficient Computing and Communication (ICRAECC)","volume":"1939 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":"125993609","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":"Vehicle License Plate Localization based on Local Binary Pattern Features","authors":"A. X, Adline N Titus, A. A","doi":"10.1109/ICRAECC43874.2019.8994964","DOIUrl":"https://doi.org/10.1109/ICRAECC43874.2019.8994964","url":null,"abstract":"The importance of Intelligent Transportation System (ITS) is increasing because of increasing the number of vehicles on the roads. Automatic License Plate Detection (ALPD) is still a challenging task based on weather, occlusion, dirty License Plates (LP) and some other factors. In this paper Local Binary Pattern (LBP) feature is proposed for the detection of LP region. Cascaded Adaboost classifier is used for the classification of candidate region. The input images are chosen with different conditions such as occlusion, low contrast, dirty LP images and poor illumination. The proposed technique is tested on 600 images. This method achieves 96.8% detection rate.","PeriodicalId":137313,"journal":{"name":"2019 International Conference on Recent Advances in Energy-efficient Computing and Communication (ICRAECC)","volume":"43 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":"131896587","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":"An Extensive Survey on Evolutionary Algorithm Based Kidney Disease Prediction","authors":"R. T. Selvi, I. Muthulakshmi","doi":"10.1109/ICRAECC43874.2019.8995152","DOIUrl":"https://doi.org/10.1109/ICRAECC43874.2019.8995152","url":null,"abstract":"Presently, the identification of kidney disease (KD) among medical practitioners becomes popular to detect the presence of KD in an easier way and at a faster rate. Due to the huge quantity of medical database, efficient methods needed to for proper diagnosis. In general, the expert's knowledge is necessary for the classification of data to predict the presence of KDs. In the past days, statistical techniques and some machine learning algorithms are used. Recently, evolutionary algorithms (EA) become famous and several classification techniques for KD prediction have also been developed. In this paper, we made an attempt to review the existing KD prediction techniques. The review is based on different aspects such as aim, algorithm used, experimental analysis and so on. A comparison of the reviewed methods is also made interms of different criteria.","PeriodicalId":137313,"journal":{"name":"2019 International Conference on Recent Advances in Energy-efficient Computing and Communication (ICRAECC)","volume":"49 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":"121340672","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":"Comparison of Two ADPLL Structures for IoT Applications","authors":"R. Dinesh, R. Marimuthu","doi":"10.1109/ICRAECC43874.2019.8995010","DOIUrl":"https://doi.org/10.1109/ICRAECC43874.2019.8995010","url":null,"abstract":"All digital Phase locked loop (ADPLL) based wireless transceiver is a key block in IoT based wireless communications. Locking time, power consumption and frequency resolution of ADPLL are the most important parameters to be considered in increasing the efficiency of IoT applications. ADPLL consist of three components namely phase detector, loop filter and Digital controlled oscillator and the performance of above mentioned parameters depends on components Of ADPLL. In this paper two ADPLL structures, ADPLL with bang bang phase detector, Digital loop filter and Ring based oscillator and ADPLL with bang phase detector, loop filter , Bootstrapped ring oscillator with TDC are compared based on important parameters such as Locking time, frequency resolution, output frequency and phase noise and it is found that ADPLL with bang phase detector, loop filter, Bootstrapped ring oscillator with TDC is best suited for IoT applications. The output frequency is 3.5 GHz. The functional verification and simulation can be done using Xilinx ISE tool.","PeriodicalId":137313,"journal":{"name":"2019 International Conference on Recent Advances in Energy-efficient Computing and Communication (ICRAECC)","volume":"13 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":"131151325","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}
Rahul Mahanty, Seva Mahapatra, A. Nayak, Ayes Chinmay
{"title":"Comparative Study of Various Image Captioning Models","authors":"Rahul Mahanty, Seva Mahapatra, A. Nayak, Ayes Chinmay","doi":"10.1109/ICRAECC43874.2019.8995014","DOIUrl":"https://doi.org/10.1109/ICRAECC43874.2019.8995014","url":null,"abstract":"This paper briefly tells about the different models used for image captioning. It also discusses how the progress in the areas of machine translation and object recognition which has eventually enhanced the performance of image captioning model greatly in current time. Implementation of models are also being discussed in this paper. In the end, standard evaluation matrices have been used to evaluate the performance of the models.","PeriodicalId":137313,"journal":{"name":"2019 International Conference on Recent Advances in Energy-efficient Computing and Communication (ICRAECC)","volume":"20 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":"132316434","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}