2019 2nd International Conference on Signal Processing and Communication (ICSPC)最新文献_第8页

Image sensor based Diffuse Optical Tomographic System 基于图像传感器的漫射光学层析成像系统

2019 2nd International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2019-03-01 DOI: 10.1109/ICSPC46172.2019.8976513

B. Medhi, Rajan Kandhirodan

引用次数: 1

Automatic Epileptic Seizure Classification using MODWT and SVM 基于MODWT和SVM的癫痫发作自动分类

2019 2nd International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2019-03-01 DOI: 10.1109/ICSPC46172.2019.8976816

J. Prasanna, G. S. Thomas, M. Subathra, N. Sairamya

{"title":"Automatic Epileptic Seizure Classification using MODWT and SVM","authors":"J. Prasanna, G. S. Thomas, M. Subathra, N. Sairamya","doi":"10.1109/ICSPC46172.2019.8976816","DOIUrl":"https://doi.org/10.1109/ICSPC46172.2019.8976816","url":null,"abstract":"Epilepsy is the neurological disorder that makes tough for epileptic patients to survive a natural life. Because classifying the electroencephalography (EEG) records is a difficult job for the clinician. This study presents effective epileptic seizure detection based on Maximal overlap discrete wavelet transform (MODWT) is proposed for the decomposition of EEG signals. The important features are computed from the decomposed wavelet coefficient based on its statistical measures such as mean and standard deviation. The extracted statistical measures are then classified by using support vector machine (SVM) classifier. In this study provides the classification between normal and focal EEG signals and also between normal and generalized EEG signal. The proposed method is verified using karunya EEG database and it produces the most promising classification performance with an overall accuracy of 95.8%, sensitivity of 92.30%, and specificity of 100 % for the classification of normal and focal EEG signals. Also it provides an accuracy of 91.7%, sensitivity of 85.71%, and specificity of 100 % for the classification of normal and generalized EEG signals.","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":"117109764","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

Doodle Recognition using machine learning for hearing and speech-impaired people 为听力和语言障碍人士使用机器学习的涂鸦识别

2019 2nd International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2019-03-01 DOI: 10.1109/ICSPC46172.2019.8976846

Evangelyn D Monica, Praharsha Davu, Cynthia P Caroline, D. J. Jagannath

引用次数: 3

Image Forgery detection on cloud 云图像伪造检测

2019 2nd International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2019-03-01 DOI: 10.1109/ICSPC46172.2019.8976862

A. James, E. Bijolin Edwin, Anjana M C, Angel Mary Abraham, Harsha Johnson

引用次数: 3

A Review on the Monitoring and localization of leakage in water distribution system 配水系统泄漏监测与定位研究进展

2019 2nd International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2019-03-01 DOI: 10.1109/ICSPC46172.2019.8976708

S. Grace, Praisy Stephen, J. Paul, B. M. I. Thusnavis

{"title":"A Review on the Monitoring and localization of leakage in water distribution system","authors":"S. Grace, Praisy Stephen, J. Paul, B. M. I. Thusnavis","doi":"10.1109/ICSPC46172.2019.8976708","DOIUrl":"https://doi.org/10.1109/ICSPC46172.2019.8976708","url":null,"abstract":"Internet of Things (IoT) is one of the booming concepts in today's world. These concepts when embedded with technology can communicate and interact over the Internet, and they can be remotely monitored and controlled. Primarily the Internet of Things offers new solutions for improving water management, to maximize effective use of this priceless resource. The major problem faced by today's municipal corporation is unidentified leakages in the water distribution system. It is therefore imperative that pipelines are effectively monitored so as to accurately detect and locate leakages in real time. The proposed system is to identify and detect the location of leakages in the pipelines during water distribution using IoT. In this system a raspberry pi is used as the master device to collect the data from different slave nodes and send the data to the cloud. A notification will also be received in the mobile through an app whenever a leak is detected and located. In this paper a thorough study has been made with the previously published research papers and a comparison is also made with their merits and demerits.","PeriodicalId":321652,"journal":{"name":"2019 2nd International Conference on Signal Processing and Communication (ICSPC)","volume":"34 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":"123455652","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

Recent Advances and Countermeasures Against Various Attacks in IoT Environment 物联网环境下各种攻击的最新进展及应对措施

2019 2nd International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2019-03-01 DOI: 10.1109/ICSPC46172.2019.8976527

S. Gautam, Ayasha Malik, Nanhay Singh, Suresh Kumar

引用次数: 11

Power Optimization in MAC Protocols for WSN 无线传感器网络MAC协议中的功耗优化

2019 2nd International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2019-03-01 DOI: 10.1109/ICSPC46172.2019.8976600

S. Radha, G. Bala, V. Stephy, Dominic Mary Princy, J. Divya, Johny Rithinika. P Sherene

引用次数: 2

Epilepsy seizure detection using SWT features and ANN classifier 基于SWT特征和ANN分类器的癫痫发作检测

2019 2nd International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2019-03-01 DOI: 10.1109/ICSPC46172.2019.8976834

Felicia J Mercy, J. Prasanna, G. S. Thomas, Roseline S Belvina, Glory N Evangelin, J. Mabel

引用次数: 0

Feature Selection and Classification for Analysis of Breast Thermograms 乳房热像图分析的特征选择与分类

2019 2nd International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2019-03-01 DOI: 10.1109/ICSPC46172.2019.8976498

N. Usha, N. Sriraam, N. Kavya, D. Sharath, Ravi Prabha, Bharathi B Hiremath, B. Venkataraman, M. Menaka

{"title":"Feature Selection and Classification for Analysis of Breast Thermograms","authors":"N. Usha, N. Sriraam, N. Kavya, D. Sharath, Ravi Prabha, Bharathi B Hiremath, B. Venkataraman, M. Menaka","doi":"10.1109/ICSPC46172.2019.8976498","DOIUrl":"https://doi.org/10.1109/ICSPC46172.2019.8976498","url":null,"abstract":"Breast thermography gives the information of abnormality in the breast which induces an angiogenesis and higher metabolic activity. It is well known fact through thermal analysis, one can infer that the abnormal cancerous breast regions show higher skin surface temperature and can be considered as potential biomarker. This specific study highlights the classification of breast thermograms using tamura and statistical features with Support Vector Machine (SVM) and K-Nearest Neighborhood (KNN) classifiers. Best features were selected using non parametric T -test analysis and the resultant features were used for classification of normal and abnormal breast thermograms. During the simulation study through thermal analysis, all abnormal breast thermograms skin surface temperature was found to be greater than 0.5° C. An overall classification accuracy of 90% and 88.9% was achieved using SVM and KNN classifiers respectively. The application of feature selection techniques outperforms the classifier's performance for the proposed study.","PeriodicalId":321652,"journal":{"name":"2019 2nd International Conference on Signal Processing and Communication (ICSPC)","volume":"18 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":"132103812","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

Security issues, Countermeasures and Dynamic queue scheduling for SDWSN SDWSN的安全问题、对策与动态队列调度

2019 2nd International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2019-03-01 DOI: 10.1109/ICSPC46172.2019.8976844

K. Indira, U. Sakthi

{"title":"Security issues, Countermeasures and Dynamic queue scheduling for SDWSN","authors":"K. Indira, U. Sakthi","doi":"10.1109/ICSPC46172.2019.8976844","DOIUrl":"https://doi.org/10.1109/ICSPC46172.2019.8976844","url":null,"abstract":"Traditional Wireless Sensor Networks (WSN) contains collection of sensor nodes to record and monitor environmental conditions for current and future analysis. Challenges and issues in WSNs are no proper network management, limited resources such as limited amount of energy, storage and processing power and more vulnerable to attacks due to open medium. As a solution, new paradigm, Software Defined Networking (SDN) is merged with WSN is called Software Defined Wireless Sensor Network (SDWSN) to provide automated dynamic network management, Low energy consumption, scalability, reliability, flexibility and robustness by separating control intelligence and network devices. However, SDWSN introduces new security challenges due to programmability nature of SDN and communication protocol. This brings a need to discuss about security issues in SDWSN and possible solutions. This paper examines possible vulnerabilities, analysis of severities, countermeasure to those attacks and proposed dynamic scheduling to overcome packet drop and congestion before applying any security mechanism to avoid congestion as misconception as attacks and to increase network performance.","PeriodicalId":321652,"journal":{"name":"2019 2nd International Conference on Signal Processing and Communication (ICSPC)","volume":"726 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":"132326462","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