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Computer Networks, Big Data and IoT / Pandian, A.Pasumpon ; Fernando, Xavier ; Islam, Syed Mohammed Shamsul
TÃtulo : Computer Networks, Big Data and IoT : Proceedings of ICCBI 2020 Tipo de documento: documento electrónico Autores: Pandian, A.Pasumpon, ; Fernando, Xavier, ; Islam, Syed Mohammed Shamsul, Mención de edición: 1 ed. Editorial: Singapore [Malasia] : Springer Fecha de publicación: 2021 Número de páginas: XXII, 991 p. 438 ilustraciones, 327 ilustraciones en color. ISBN/ISSN/DL: 978-981-1609657-- Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Telecomunicación Inteligencia artificial Internet de las Cosas Grandes datos IngenierÃa en Comunicaciones Redes Ciencia de los datos Clasificación: 621.382 Telecomunicaciones Resumen: Este libro presenta los mejores artÃculos de investigación seleccionados presentados en la Conferencia Internacional sobre Redes de Computadoras, Big Data e IoT (ICCBI 2020), organizada por Vaigai College Engineering, Madurai, Tamil Nadu, India, del 15 al 16 de diciembre de 2020. El libro cubre artÃculos originales sobre redes informáticas, protocolos de red y redes inalámbricas, tecnologÃas de comunicación de datos y seguridad de redes. El libro es un valioso recurso y referencia para investigadores, instructores, estudiantes, cientÃficos, ingenieros, gerentes y profesionales de la industria en esas áreas importantes. Nota de contenido: Maximizing Network Lifetime in WSN using Ant Colony Algorithm -- Deep Ensemble Approach for Question Answer System -- Information Sharing Over Social Media Analysis Using Centrality Measure -- Indoor Mobile Robot Navigation using Deep Convolutional Neural Network -- Etaheuristic Enabled Shortest Path Selection for IoT based Wireless Sensor Network -- Generation of Random Binary Sequence using Adaptive Row-Column Approach and Synthetic Colour Image -- A Study of Mobile Adhoc Network and its Performance Optimizaiton Algorithm -- Sentimental Analysis on Twitter Data of Political Domain -- Big Social Media Analytics: Applications and Challenges -- Intelligent Computing Application for Cloud Enhancing Health Care Services -- Corona Virus Detection and Classification using X-Rays and CT Scans with Machine Learning Techniques -- Security Issues and Solutions in E-Health and Telemedicine -- Accident Alert System with False Alarm Switch -- A Deep Learning Approach to Detect Lumpy Skin Disease in Cows -- Algorithmic Trading using Machine Learning and Neural Network -- Analysis on Intrusion Detection System using Machine Learning Techniques -- Content Related Feature Analysis for Fake Online Consumer Review Detection -- Approaches in Assistive Technology: A Survey on Existing Assistive Wearable Technology for The Visually-Impaired -- Filter Bank Multicarrier Systems using Gaussian Pulse based Filter Design for 5G Technologies -- Data Streaming Architecture for Visualizing Cryptocurrency Temporal Data -- Integration of IoT and SDN to Mitigate DDoS with RYU Controller -- A Framework for monitoring Patient's Vital Signs with Internet-of-Things and Blockchain Technology -- Network Intrusion Detection using Cross Bagging based Stacking Model -- Performance Study of Free Space Optical System under Varied Atmospheric Conditions -- Review on Energy Efficient Routing Protocols in WSN.Comparative Analysis of Traffic and Congestion in Software Defined Networks -- Automatic Vehicle Service Monitoring and TrackingSystem using IoT and Machine Learning. Tipo de medio : Computadora Summary : This book presents best selected research papers presented at the International Conference on Computer Networks, Big Data and IoT (ICCBI 2020), organized by Vaigai College Engineering, Madurai, Tamil Nadu, India, during 15–16 December 2020. The book covers original papers on computer networks, network protocols and wireless networks, data communication technologies and network security. The book is a valuable resource and reference for researchers, instructors, students, scientists, engineers, managers and industry practitioners in those important areas. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Computer Networks, Big Data and IoT : Proceedings of ICCBI 2020 [documento electrónico] / Pandian, A.Pasumpon, ; Fernando, Xavier, ; Islam, Syed Mohammed Shamsul, . - 1 ed. . - Singapore [Malasia] : Springer, 2021 . - XXII, 991 p. 438 ilustraciones, 327 ilustraciones en color.
ISBN : 978-981-1609657--
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Telecomunicación Inteligencia artificial Internet de las Cosas Grandes datos IngenierÃa en Comunicaciones Redes Ciencia de los datos Clasificación: 621.382 Telecomunicaciones Resumen: Este libro presenta los mejores artÃculos de investigación seleccionados presentados en la Conferencia Internacional sobre Redes de Computadoras, Big Data e IoT (ICCBI 2020), organizada por Vaigai College Engineering, Madurai, Tamil Nadu, India, del 15 al 16 de diciembre de 2020. El libro cubre artÃculos originales sobre redes informáticas, protocolos de red y redes inalámbricas, tecnologÃas de comunicación de datos y seguridad de redes. El libro es un valioso recurso y referencia para investigadores, instructores, estudiantes, cientÃficos, ingenieros, gerentes y profesionales de la industria en esas áreas importantes. Nota de contenido: Maximizing Network Lifetime in WSN using Ant Colony Algorithm -- Deep Ensemble Approach for Question Answer System -- Information Sharing Over Social Media Analysis Using Centrality Measure -- Indoor Mobile Robot Navigation using Deep Convolutional Neural Network -- Etaheuristic Enabled Shortest Path Selection for IoT based Wireless Sensor Network -- Generation of Random Binary Sequence using Adaptive Row-Column Approach and Synthetic Colour Image -- A Study of Mobile Adhoc Network and its Performance Optimizaiton Algorithm -- Sentimental Analysis on Twitter Data of Political Domain -- Big Social Media Analytics: Applications and Challenges -- Intelligent Computing Application for Cloud Enhancing Health Care Services -- Corona Virus Detection and Classification using X-Rays and CT Scans with Machine Learning Techniques -- Security Issues and Solutions in E-Health and Telemedicine -- Accident Alert System with False Alarm Switch -- A Deep Learning Approach to Detect Lumpy Skin Disease in Cows -- Algorithmic Trading using Machine Learning and Neural Network -- Analysis on Intrusion Detection System using Machine Learning Techniques -- Content Related Feature Analysis for Fake Online Consumer Review Detection -- Approaches in Assistive Technology: A Survey on Existing Assistive Wearable Technology for The Visually-Impaired -- Filter Bank Multicarrier Systems using Gaussian Pulse based Filter Design for 5G Technologies -- Data Streaming Architecture for Visualizing Cryptocurrency Temporal Data -- Integration of IoT and SDN to Mitigate DDoS with RYU Controller -- A Framework for monitoring Patient's Vital Signs with Internet-of-Things and Blockchain Technology -- Network Intrusion Detection using Cross Bagging based Stacking Model -- Performance Study of Free Space Optical System under Varied Atmospheric Conditions -- Review on Energy Efficient Routing Protocols in WSN.Comparative Analysis of Traffic and Congestion in Software Defined Networks -- Automatic Vehicle Service Monitoring and TrackingSystem using IoT and Machine Learning. Tipo de medio : Computadora Summary : This book presents best selected research papers presented at the International Conference on Computer Networks, Big Data and IoT (ICCBI 2020), organized by Vaigai College Engineering, Madurai, Tamil Nadu, India, during 15–16 December 2020. The book covers original papers on computer networks, network protocols and wireless networks, data communication technologies and network security. The book is a valuable resource and reference for researchers, instructors, students, scientists, engineers, managers and industry practitioners in those important areas. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Cooperative Spectrum Sensing and Resource Allocation Strategies in Cognitive Radio Networks / Fernando, Xavier
TÃtulo : Cooperative Spectrum Sensing and Resource Allocation Strategies in Cognitive Radio Networks Tipo de documento: documento electrónico Autores: Fernando, Xavier, ; Sultana, Ajmery, ; Hussain, Sattar, ; Zhao, Lian, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2019 Número de páginas: X, 107 p. 38 ilustraciones ISBN/ISSN/DL: 978-3-319-73957-1 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Telecomunicación Red de computadoras IngenierÃa en Comunicaciones Redes Redes de comunicación informática Clasificación: 621.382 Telecomunicaciones Resumen: Las redes de radio cognitivas (CRN) se implementarán ampliamente en un futuro cercano, y este SpringerBrief cubre algunos aspectos importantes al respecto, además de resaltar las estrategias de optimización en la asignación de recursos y la detección de espectro en las CRN. El enfoque cognitivo en el acceso radioeléctrico se presenta en la primera parte de este SpringerBrief, y luego se destacan los beneficios de la detección cooperativa del espectro y se describe un marco para estudiarlo en condiciones de canal realistas. En este escenario se derivan nuevas expresiones exactas en forma cerrada para la probabilidad promedio de falsas alarmas y la probabilidad promedio de detección. También se discute una nueva aproximación para aliviar la complejidad computacional de los modelos propuestos. Una vez identificadas las oportunidades de espectro, se deberá realizar una asignación de recursos (RA) eficiente y sistemática. La segunda parte de este SpringerBrief describe la taxonomÃa del proceso de RA en CRN. También se proporciona una descripción general completa de las estrategias de optimización del CRN RA. Se analiza el escenario de comunicación de dispositivo a dispositivo (D2D), luego se estudia un caso de estudio y varias estrategias de optimización para la aplicación de la tecnologÃa CR en el ámbito D2D. Se presenta en detalle la aplicación del enfoque avanzado de llenado de agua geométrico (GWF) en el entorno CRN D2D para una asignación óptima de recursos. Los resultados numéricos proporcionan más información cuantitativa. En general, este libro es adecuado para una amplia audiencia que incluye estudiantes, profesores e investigadores en el área de comunicaciones inalámbricas y profesionales de la industria de servicios inalámbricos. Nota de contenido: 1 Introduction -- 2 Relay-Based Cooperative Spectrum Sensing -- 3 Cluster-Based Cooperative Spectrum Sensing -- 4 Taxonomy of the Resource Allocation in CRNs -- 5 Resource Allocation in CRNs -- 6 Resource Allocation in CRNs with D2D Communication -- 7 Conclusion and Future Research Directions. Tipo de medio : Computadora Summary : Cognitive radio networks (CRN) will be widely deployed in the near future, and this SpringerBrief covers some important aspects of it, as well as highlighting optimization strategies in Resource Allocation and Spectrum Sensing in CRNs. The cognitive approach in radio access is introduced in the first part of this SpringerBrief, and then next the benefits of cooperative spectrum sensing are highlighted and a framework for studying it under realistic channel conditions is described. New exact closed-form expressions for average false alarm probability and average detection probability are derived in this scenario. A novel approximation to alleviate the computational complexity of the proposed models are also discussed. Once the spectrum opportunities are identified, efficient and systematic resource allocation (RA) shall be performed. The second part of this SpringerBrief describes the taxonomy for the RA process in CRN. A comprehensive overview of the optimization strategies ofthe CRN RA is also provided. The device-to-device (D2D) communication scenario is discussed, then as a case study and various optimization strategies for the application of the CR technology in the D2D realm is studied. The application of advanced geometric water-filling (GWF) approach in CRN D2D environment for optimum resource allocation is presented in detail. Numerical results provide more insight quantitatively. Overall, this book is suitable for a wide audience that include students, faculty and researchers in wireless communication area and professionals in the wireless service industry. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Cooperative Spectrum Sensing and Resource Allocation Strategies in Cognitive Radio Networks [documento electrónico] / Fernando, Xavier, ; Sultana, Ajmery, ; Hussain, Sattar, ; Zhao, Lian, . - 1 ed. . - [s.l.] : Springer, 2019 . - X, 107 p. 38 ilustraciones.
ISBN : 978-3-319-73957-1
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Telecomunicación Red de computadoras IngenierÃa en Comunicaciones Redes Redes de comunicación informática Clasificación: 621.382 Telecomunicaciones Resumen: Las redes de radio cognitivas (CRN) se implementarán ampliamente en un futuro cercano, y este SpringerBrief cubre algunos aspectos importantes al respecto, además de resaltar las estrategias de optimización en la asignación de recursos y la detección de espectro en las CRN. El enfoque cognitivo en el acceso radioeléctrico se presenta en la primera parte de este SpringerBrief, y luego se destacan los beneficios de la detección cooperativa del espectro y se describe un marco para estudiarlo en condiciones de canal realistas. En este escenario se derivan nuevas expresiones exactas en forma cerrada para la probabilidad promedio de falsas alarmas y la probabilidad promedio de detección. También se discute una nueva aproximación para aliviar la complejidad computacional de los modelos propuestos. Una vez identificadas las oportunidades de espectro, se deberá realizar una asignación de recursos (RA) eficiente y sistemática. La segunda parte de este SpringerBrief describe la taxonomÃa del proceso de RA en CRN. También se proporciona una descripción general completa de las estrategias de optimización del CRN RA. Se analiza el escenario de comunicación de dispositivo a dispositivo (D2D), luego se estudia un caso de estudio y varias estrategias de optimización para la aplicación de la tecnologÃa CR en el ámbito D2D. Se presenta en detalle la aplicación del enfoque avanzado de llenado de agua geométrico (GWF) en el entorno CRN D2D para una asignación óptima de recursos. Los resultados numéricos proporcionan más información cuantitativa. En general, este libro es adecuado para una amplia audiencia que incluye estudiantes, profesores e investigadores en el área de comunicaciones inalámbricas y profesionales de la industria de servicios inalámbricos. Nota de contenido: 1 Introduction -- 2 Relay-Based Cooperative Spectrum Sensing -- 3 Cluster-Based Cooperative Spectrum Sensing -- 4 Taxonomy of the Resource Allocation in CRNs -- 5 Resource Allocation in CRNs -- 6 Resource Allocation in CRNs with D2D Communication -- 7 Conclusion and Future Research Directions. Tipo de medio : Computadora Summary : Cognitive radio networks (CRN) will be widely deployed in the near future, and this SpringerBrief covers some important aspects of it, as well as highlighting optimization strategies in Resource Allocation and Spectrum Sensing in CRNs. The cognitive approach in radio access is introduced in the first part of this SpringerBrief, and then next the benefits of cooperative spectrum sensing are highlighted and a framework for studying it under realistic channel conditions is described. New exact closed-form expressions for average false alarm probability and average detection probability are derived in this scenario. A novel approximation to alleviate the computational complexity of the proposed models are also discussed. Once the spectrum opportunities are identified, efficient and systematic resource allocation (RA) shall be performed. The second part of this SpringerBrief describes the taxonomy for the RA process in CRN. A comprehensive overview of the optimization strategies ofthe CRN RA is also provided. The device-to-device (D2D) communication scenario is discussed, then as a case study and various optimization strategies for the application of the CR technology in the D2D realm is studied. The application of advanced geometric water-filling (GWF) approach in CRN D2D environment for optimum resource allocation is presented in detail. Numerical results provide more insight quantitatively. Overall, this book is suitable for a wide audience that include students, faculty and researchers in wireless communication area and professionals in the wireless service industry. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB) / Pandian, Durai ; Fernando, Xavier ; Baig, Zubair ; Shi, Fuqian
TÃtulo : Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB) Tipo de documento: documento electrónico Autores: Pandian, Durai, ; Fernando, Xavier, ; Baig, Zubair, ; Shi, Fuqian, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2019 Número de páginas: XIX, 1930 p. 1086 ilustraciones, 701 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-00665-5 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: IngenierÃa Biomédica Procesamiento de imágenes Visión por computador BiotecnologÃa IngenierÃa Biomédica y BioingenierÃa Imágenes por computadora visión reconocimiento de patrones y gráficos Clasificación: 610.28 Resumen: Estas son las actas de la Conferencia Internacional sobre ISMAC-CVB, celebrada en Palladam, India, en mayo de 2018. El libro se centra en la investigación para diseñar nuevos paradigmas de análisis y soluciones computacionales para la cuantificación de la información proporcionada por el reconocimiento de objetos, la comprensión de escenas de la visión por computadora. y diferentes algoritmos como redes neuronales convolucionales para permitir a las computadoras reconocer y detectar objetos en imágenes con una precisión sin precedentes e incluso comprender las relaciones entre ellos. Las actas tratan la convergencia de ISMAC en tecnologÃa de visión computacional y bioingenierÃa e incluyen ideas y técnicas como detección 3D, percepción visual humana, comprensión de escenas, detección y análisis de movimiento humano, visualización y presentación gráfica de datos y una amplia gama de modalidades de sensores en términos de vigilancia, aplicaciones portátiles, automatización del hogar, etc. ISMAC-CVB es un foro para que los principales cientÃficos académicos, investigadores y académicos de la investigación intercambien y compartan sus experiencias y resultados de investigación sobre todos los aspectos de la visión computacional y la bioingenierÃa. Nota de contenido: Chapter 1. Digital Image Watermarking using Sine Transformation Technique -- Chapter 2. A Review on Protein Structure Classification -- Chapter 3. Motion Detection Algorithm for Surveillance Videos -- Chapter 4. 6D Pose Estimation of 3D Objects in Scenes with Mutual Similarities and Occlusions -- Chapter 5. A Simple and Enhanced Low-Light Image Enhancement Process Using Effective Illumination Mapping Approach -- Chapter 6. Comparison of Particle Swarm Optimization and Weighted Artificial Bee Colony Techniques in Classification of Dementia Using MRI Images -- Chapter 7. Automatic Segmentation of Malaria Affected Erythrocyte in Thin Blood Films -- Chapter 8. Enhanced Portable Customer Experience Using Community Computation in Offline Retail -- Chapter 9. Detection and Recognition Of Vehicle Using Principal Component Analysis -- Chapter 10. Convolution Neural Networks: A Case Study on Brain Tumor Segmentation in Medical Care -- Chapter 11. Vision based algorithm for fire detection in smart buildings -- Chapter 12. Comparative performance analysis of local feature descriptors for biomedical image retrieval -- Chapter 13. Emotion Analysis Through EEG & Peripheral Physiological Signals Using KNN Classifier -- Chapter 14. Detection Of Liver Tumor Using Gradient Vector Flow Algorithm -- Chapter 15. Hyperspectral Image Classification using Semisupervised Random Forest -- Chapter 16. Clustering of various parameters to catalog human bone disorders through soft computing simulation -- Chapter 17. IoT Based Embedded Smart Lock Control using Face Recognition System -- Chapter 18. MediCloud: Cloud-based solution to patient's medical records -- Chapter 19. A Trio Approach Satisfying CIA Triad for Medical Image Security -- Chapter 20. A Novel Hybrid Method for Time Series Forecasting Using Soft Computing Approach -- Chapter 21. Medical Image Classification Using MRI: An Investigation -- Chapter 22. Tumor Detection and Analysis using Improved Fuzzy C-Means Algorithm -- Chapter 23. MediCloud: Cloud-based solution to patient's medical records -- Chapter 24. Enhancement of Optical Coherence Tomography Images: An Iterative Approach Using Various Filters -- Chapter 25. An o -- Chapter 26. the Shelf CNN Features based approach for Vehicle Classication using Acoustics -- Chapter 27. Conjunctival Vasculature liveness detection based on DCT Features -- Chapter 28. Unusual Social Event Detection by Analyzing Call Data Records -- Chapter 29. Long Short Term Memory based Recurrent Neural Network approach for intrusion detection -- Chapter 30. Drunk Driving and Drowsiness Detection Alert System -- Chapter 31. A Survey on Intelligent Face Recognition System -- Chapter 32. Real Time Health Monitoring System Implemented on a Bicycle -- Chapter 33. A Fuzzy Rule based Diagnosis of Parkinson's Disease -- Chapter 34. A Comprehensive Study of Retinal Vessel Classifica-tion Methods in Fundus Images for detection of Hyper-tensive Retinopathy and Cardiovascular diseases -- Chapter 35. Estimation of parameters to model a fabric in a way to identify defects -- Chapter 36. Hybrid Method For Copy-Move Forgery Detection In Digital Images -- Chapter 37. Error Detection Technique For A Median Filter Using Denoising Algorithm -- Chapter 38. Retinal Image Processing and Classification using Convolutional Neural Networks -- Chapter 39. Comparison of Thermography and 3D Mammography Screening and Classification Techniques for Breast Cancer -- Chapter 40. IEFA- A Fuzzy Framework for Image Enrichment -- Chapter 41. Hidden Markov Random Field and Gaussian Mixture Model based Hidden Markov Random Field for Contour Labelling of Exudates in Diabetic Retinopathy-A Comparitive Study -- Chapter 42. AUGEN: An Ocular Support for Visually Impaired Using Deep Learning -- Chapter 43. A Novel Flight Controller Interface for Vision Guided Autonomous Drone -- Chapter 44. Sliding Discrete Fourier Transform for 2D Signal Processing -- Chapter 45. Automated Lung Nodules And Ground Glass Opacity Nodules Detection And Classification From Computed Tomography Images -- Chapter 46. Detection Of Static And Dynamic Abnormal Activities In Crowded Areas Using Hybrid Clustering -- Chapter 47. Gait Recognition using Normal Distance Map and Sparse Multilinear Laplacian Discriminant Analysis -- Chapter 48. A Review – Edge Detection Techniques in Dental Images -- Chapter 49. Detection of Exudates and Removal of Optic Disc in Fundus Images Using Genetic Algorithm -- Chapter 50. Analysis of Feature Ranking Methods on X-ray Images -- Chapter 51. Salient Object Detection for Synthetic Dataset -- Chapter 52. Atherosclerotic Plaque Detection Using Intra-Vascular Ultrasound (IVUS) Images. -- Chapter 53. Correlative Feature Selection for Multimodal Medical Image Fusion through QWT -- Chapter 54. A Two Stage Validation Approach for Early Detection of Proliferative Diabetic Retinopathy in Neovascularization at the Disc by Observing Retinal Vascular Structure -- Chapter 55. Finding Center of Optic Disc from Fundus Images forImage Characterization and Analysis -- Chapter 56. A Robust Method for Image Copy Move Passive Forgery Detection with Enhanced Speed -- Chapter 57. Detection of Objects and Evaluation with The IO Link Using Miniature Laser Sensor -A Review -- Chapter 58. Development of Medical Image Segmentation Algorithms using Deformable Models -- Chapter 59. Feature Extraction and Classification of Epileptic EEG signals using Wavelet transforms and Artificial Neural Networks -- Chapter 60. 3D Printed Surgical Guides in Orthoganthic Surgery- A Pathway to Positive Surgical Outcomes -- Chapter 61. Image-Based Method for Analysis of Root Canal Geometry -- Chapter 62. Analysis of Explicit Parallelism of Image Pre-Processing Algorithms A Case Study -- Chapter 63. A Comprehensive Study on Character Segmentation -- Chapter 64. Framework For Image Forgery Detection And Classification Using Machine Learning -- Chapter 65. EZW, SPIHT and WDR Methods for CT Scan and X-Ray Images Compression Applications -- Chapter66. Human Identification based on Ear Image Contour and it's Properties -- Chapter 67. Defocus Map Based Segmentation of Automotive Vehicles -- Chapter 68. Multi-Insight Monocular Vision System using a Refractive Projection Model -- Chapter 69. Comparative Study and Analysis of Pulse Rate Measurement by Vowel Speech and EVM -- Chapter 70. ONESTOP:A Tool for Performing Generic Operations With Visual Support -- Chapter 71. Performance evaluation of DCT, DWT and SPIHT techniques for Medical Image Compression -- Chapter 72. Structural Health Monitoring –An Integrated Approach for Vibration Analysis with Wireless Sensors to Steel Structure using Image Processing -- Chapter 73. An Improved image pre-processing method for concrete crack detection -- Chapter 74. Grape crop disease classification using transfer learning approach -- Chapter 75. Exploring Image Classification of Thyroid Ultrasound Images using Deep Learning -- Chapter 76. Medical Applications of Additive Manufacturing -- Chapter 77. A Studyon Comparative Analysis of Automated and Semi automated Segmentation Techniques on Knee Osteoarthritis X-Ray Radiographs -- Chapter 78. Plant Disease Detection Based on Region Based Segmentation and KNN Classifier -- Chapter 79. Analyzing e-CALLISTO Images: Sunspot Number, 10.7 cm Flux and Radio Solar Bursts -- Chapter 80. Real Time Input Text Recognition System For The Aid Of Visually Impaired -- Chapter 81. A homogenous prototype design for IED detection using subsurface Ground Penetrating RADAR -- Chapter 82. A study on various Deep Learning Algorithms to diagnose Alzheimer's disease -- Chapter 83. Performance Analysis of Image Enhancement Techniques for Mammogram Images -- Chapter 84. A Study on Preprocessing Techniques for Ultra Sound Images of Carotid Artery -- Chapter 85. Fractional Reaction Diffusion Model for Parkinson's Disease -- Chapter 86. Analysis Of A Novel Algorithm For Steganography Using Openexr Image As Cover -- Chapter 87. Prediction-based Lossless Image Compression -- Chapter 88. Audio and Video Streaming in Telepresence application using WebRTC for Healthcare System -- Chapter 89. Review on Image Segmentation Techniques Incorporated with Machine Learning in the Scrutinization of Leukemic Microscopic Stained Blood Smear Images -- Chapter 90. Detection of Gaze Direction for Human-Computer Interaction -- Chapter 91.
Compromising Cloud Security and Privacy by DOS, DDOS, Botnet Attacks and their countermeasures -- Chapter 92. Road Detection by Boundary Extraction Technique and Hough Transform -- Chapter 93. Investigating the Impact of Various Feature Selection Techniques on the Attributes used in the Diagnosis of Alzheimer's Disease -- Chapter 94. Detection Of Sleep Apnea Based On Hrv Analysis Of Ecg Signal -- Chapter 95. Performance Comparison of SVM Classifier based on Kernel Functions in Colposcopic image Segmentation for Cervical Cancer -- Chapter 96. GPU based Denoising Filter for Knee MRI -- Chapter 97. Performance Evaluation of Audio Watermarking Algorithms using DWT and LFSR -- Chapter 98. Biometric Image Encryption Algorithm Based on Modified Rubik's Cube Principle -- Chapter 99. A Comprehensive Study on Character Segmentation -- Chapter 100. Leaf Disease Detection Based On Machine Learning -- Chapter 101. Cross Domain Recommendation System using Ontology and Sequential Pattern Mining -- Chapter 102. A New Automated Medicine Prescription System for Plant Diseases -- Chapter 103. Identifying the risk factors for Diabetic Retinopathy using Decision Tree -- Chapter 104. Logarithmic Transform based Digital Watermarking Scheme -- Chapter 105. A comparative assessment of segmentations on skin lesion through various entropy and six sigma thresholds -- Chapter 106. Impact of Speckle Filtering on the Decomposition and Classification of Fully Polarimetric RADARSAT-2 Data -- Chapter 107. Estimation of Precipitation from the Doppler Weather Radar Images -- Chapter .Tipo de medio : Computadora Summary : These are the proceedings of the International Conference on ISMAC-CVB, held in Palladam, India, in May 2018. The book focuses on research to design new analysis paradigms and computational solutions for quantification of information provided by object recognition, scene understanding of computer vision and different algorithms like convolutional neural networks to allow computers to recognize and detect objects in images with unprecedented accuracy and to even understand the relationships between them. The proceedings treat the convergence of ISMAC in Computational Vision and Bioengineering technology and includes ideas and techniques like 3D sensing, human visual perception, scene understanding, human motion detection and analysis, visualization and graphical data presentation and a very wide range of sensor modalities in terms of surveillance, wearable applications, home automation etc. ISMAC-CVB is a forum for leading academic scientists, researchers and research scholars to exchange and share their experiences and research results about all aspects of computational vision and bioengineering. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB) [documento electrónico] / Pandian, Durai, ; Fernando, Xavier, ; Baig, Zubair, ; Shi, Fuqian, . - 1 ed. . - [s.l.] : Springer, 2019 . - XIX, 1930 p. 1086 ilustraciones, 701 ilustraciones en color.
ISBN : 978-3-030-00665-5
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: IngenierÃa Biomédica Procesamiento de imágenes Visión por computador BiotecnologÃa IngenierÃa Biomédica y BioingenierÃa Imágenes por computadora visión reconocimiento de patrones y gráficos Clasificación: 610.28 Resumen: Estas son las actas de la Conferencia Internacional sobre ISMAC-CVB, celebrada en Palladam, India, en mayo de 2018. El libro se centra en la investigación para diseñar nuevos paradigmas de análisis y soluciones computacionales para la cuantificación de la información proporcionada por el reconocimiento de objetos, la comprensión de escenas de la visión por computadora. y diferentes algoritmos como redes neuronales convolucionales para permitir a las computadoras reconocer y detectar objetos en imágenes con una precisión sin precedentes e incluso comprender las relaciones entre ellos. Las actas tratan la convergencia de ISMAC en tecnologÃa de visión computacional y bioingenierÃa e incluyen ideas y técnicas como detección 3D, percepción visual humana, comprensión de escenas, detección y análisis de movimiento humano, visualización y presentación gráfica de datos y una amplia gama de modalidades de sensores en términos de vigilancia, aplicaciones portátiles, automatización del hogar, etc. ISMAC-CVB es un foro para que los principales cientÃficos académicos, investigadores y académicos de la investigación intercambien y compartan sus experiencias y resultados de investigación sobre todos los aspectos de la visión computacional y la bioingenierÃa. Nota de contenido: Chapter 1. Digital Image Watermarking using Sine Transformation Technique -- Chapter 2. A Review on Protein Structure Classification -- Chapter 3. Motion Detection Algorithm for Surveillance Videos -- Chapter 4. 6D Pose Estimation of 3D Objects in Scenes with Mutual Similarities and Occlusions -- Chapter 5. A Simple and Enhanced Low-Light Image Enhancement Process Using Effective Illumination Mapping Approach -- Chapter 6. Comparison of Particle Swarm Optimization and Weighted Artificial Bee Colony Techniques in Classification of Dementia Using MRI Images -- Chapter 7. Automatic Segmentation of Malaria Affected Erythrocyte in Thin Blood Films -- Chapter 8. Enhanced Portable Customer Experience Using Community Computation in Offline Retail -- Chapter 9. Detection and Recognition Of Vehicle Using Principal Component Analysis -- Chapter 10. Convolution Neural Networks: A Case Study on Brain Tumor Segmentation in Medical Care -- Chapter 11. Vision based algorithm for fire detection in smart buildings -- Chapter 12. Comparative performance analysis of local feature descriptors for biomedical image retrieval -- Chapter 13. Emotion Analysis Through EEG & Peripheral Physiological Signals Using KNN Classifier -- Chapter 14. Detection Of Liver Tumor Using Gradient Vector Flow Algorithm -- Chapter 15. Hyperspectral Image Classification using Semisupervised Random Forest -- Chapter 16. Clustering of various parameters to catalog human bone disorders through soft computing simulation -- Chapter 17. IoT Based Embedded Smart Lock Control using Face Recognition System -- Chapter 18. MediCloud: Cloud-based solution to patient's medical records -- Chapter 19. A Trio Approach Satisfying CIA Triad for Medical Image Security -- Chapter 20. A Novel Hybrid Method for Time Series Forecasting Using Soft Computing Approach -- Chapter 21. Medical Image Classification Using MRI: An Investigation -- Chapter 22. Tumor Detection and Analysis using Improved Fuzzy C-Means Algorithm -- Chapter 23. MediCloud: Cloud-based solution to patient's medical records -- Chapter 24. Enhancement of Optical Coherence Tomography Images: An Iterative Approach Using Various Filters -- Chapter 25. An o -- Chapter 26. the Shelf CNN Features based approach for Vehicle Classication using Acoustics -- Chapter 27. Conjunctival Vasculature liveness detection based on DCT Features -- Chapter 28. Unusual Social Event Detection by Analyzing Call Data Records -- Chapter 29. Long Short Term Memory based Recurrent Neural Network approach for intrusion detection -- Chapter 30. Drunk Driving and Drowsiness Detection Alert System -- Chapter 31. A Survey on Intelligent Face Recognition System -- Chapter 32. Real Time Health Monitoring System Implemented on a Bicycle -- Chapter 33. A Fuzzy Rule based Diagnosis of Parkinson's Disease -- Chapter 34. A Comprehensive Study of Retinal Vessel Classifica-tion Methods in Fundus Images for detection of Hyper-tensive Retinopathy and Cardiovascular diseases -- Chapter 35. Estimation of parameters to model a fabric in a way to identify defects -- Chapter 36. Hybrid Method For Copy-Move Forgery Detection In Digital Images -- Chapter 37. Error Detection Technique For A Median Filter Using Denoising Algorithm -- Chapter 38. Retinal Image Processing and Classification using Convolutional Neural Networks -- Chapter 39. Comparison of Thermography and 3D Mammography Screening and Classification Techniques for Breast Cancer -- Chapter 40. IEFA- A Fuzzy Framework for Image Enrichment -- Chapter 41. Hidden Markov Random Field and Gaussian Mixture Model based Hidden Markov Random Field for Contour Labelling of Exudates in Diabetic Retinopathy-A Comparitive Study -- Chapter 42. AUGEN: An Ocular Support for Visually Impaired Using Deep Learning -- Chapter 43. A Novel Flight Controller Interface for Vision Guided Autonomous Drone -- Chapter 44. Sliding Discrete Fourier Transform for 2D Signal Processing -- Chapter 45. Automated Lung Nodules And Ground Glass Opacity Nodules Detection And Classification From Computed Tomography Images -- Chapter 46. Detection Of Static And Dynamic Abnormal Activities In Crowded Areas Using Hybrid Clustering -- Chapter 47. Gait Recognition using Normal Distance Map and Sparse Multilinear Laplacian Discriminant Analysis -- Chapter 48. A Review – Edge Detection Techniques in Dental Images -- Chapter 49. Detection of Exudates and Removal of Optic Disc in Fundus Images Using Genetic Algorithm -- Chapter 50. Analysis of Feature Ranking Methods on X-ray Images -- Chapter 51. Salient Object Detection for Synthetic Dataset -- Chapter 52. Atherosclerotic Plaque Detection Using Intra-Vascular Ultrasound (IVUS) Images. -- Chapter 53. Correlative Feature Selection for Multimodal Medical Image Fusion through QWT -- Chapter 54. A Two Stage Validation Approach for Early Detection of Proliferative Diabetic Retinopathy in Neovascularization at the Disc by Observing Retinal Vascular Structure -- Chapter 55. Finding Center of Optic Disc from Fundus Images forImage Characterization and Analysis -- Chapter 56. A Robust Method for Image Copy Move Passive Forgery Detection with Enhanced Speed -- Chapter 57. Detection of Objects and Evaluation with The IO Link Using Miniature Laser Sensor -A Review -- Chapter 58. Development of Medical Image Segmentation Algorithms using Deformable Models -- Chapter 59. Feature Extraction and Classification of Epileptic EEG signals using Wavelet transforms and Artificial Neural Networks -- Chapter 60. 3D Printed Surgical Guides in Orthoganthic Surgery- A Pathway to Positive Surgical Outcomes -- Chapter 61. Image-Based Method for Analysis of Root Canal Geometry -- Chapter 62. Analysis of Explicit Parallelism of Image Pre-Processing Algorithms A Case Study -- Chapter 63. A Comprehensive Study on Character Segmentation -- Chapter 64. Framework For Image Forgery Detection And Classification Using Machine Learning -- Chapter 65. EZW, SPIHT and WDR Methods for CT Scan and X-Ray Images Compression Applications -- Chapter66. Human Identification based on Ear Image Contour and it's Properties -- Chapter 67. Defocus Map Based Segmentation of Automotive Vehicles -- Chapter 68. Multi-Insight Monocular Vision System using a Refractive Projection Model -- Chapter 69. Comparative Study and Analysis of Pulse Rate Measurement by Vowel Speech and EVM -- Chapter 70. ONESTOP:A Tool for Performing Generic Operations With Visual Support -- Chapter 71. Performance evaluation of DCT, DWT and SPIHT techniques for Medical Image Compression -- Chapter 72. Structural Health Monitoring –An Integrated Approach for Vibration Analysis with Wireless Sensors to Steel Structure using Image Processing -- Chapter 73. An Improved image pre-processing method for concrete crack detection -- Chapter 74. Grape crop disease classification using transfer learning approach -- Chapter 75. Exploring Image Classification of Thyroid Ultrasound Images using Deep Learning -- Chapter 76. Medical Applications of Additive Manufacturing -- Chapter 77. A Studyon Comparative Analysis of Automated and Semi automated Segmentation Techniques on Knee Osteoarthritis X-Ray Radiographs -- Chapter 78. Plant Disease Detection Based on Region Based Segmentation and KNN Classifier -- Chapter 79. Analyzing e-CALLISTO Images: Sunspot Number, 10.7 cm Flux and Radio Solar Bursts -- Chapter 80. Real Time Input Text Recognition System For The Aid Of Visually Impaired -- Chapter 81. A homogenous prototype design for IED detection using subsurface Ground Penetrating RADAR -- Chapter 82. A study on various Deep Learning Algorithms to diagnose Alzheimer's disease -- Chapter 83. Performance Analysis of Image Enhancement Techniques for Mammogram Images -- Chapter 84. A Study on Preprocessing Techniques for Ultra Sound Images of Carotid Artery -- Chapter 85. Fractional Reaction Diffusion Model for Parkinson's Disease -- Chapter 86. Analysis Of A Novel Algorithm For Steganography Using Openexr Image As Cover -- Chapter 87. Prediction-based Lossless Image Compression -- Chapter 88. Audio and Video Streaming in Telepresence application using WebRTC for Healthcare System -- Chapter 89. Review on Image Segmentation Techniques Incorporated with Machine Learning in the Scrutinization of Leukemic Microscopic Stained Blood Smear Images -- Chapter 90. Detection of Gaze Direction for Human-Computer Interaction -- Chapter 91.
Compromising Cloud Security and Privacy by DOS, DDOS, Botnet Attacks and their countermeasures -- Chapter 92. Road Detection by Boundary Extraction Technique and Hough Transform -- Chapter 93. Investigating the Impact of Various Feature Selection Techniques on the Attributes used in the Diagnosis of Alzheimer's Disease -- Chapter 94. Detection Of Sleep Apnea Based On Hrv Analysis Of Ecg Signal -- Chapter 95. Performance Comparison of SVM Classifier based on Kernel Functions in Colposcopic image Segmentation for Cervical Cancer -- Chapter 96. GPU based Denoising Filter for Knee MRI -- Chapter 97. Performance Evaluation of Audio Watermarking Algorithms using DWT and LFSR -- Chapter 98. Biometric Image Encryption Algorithm Based on Modified Rubik's Cube Principle -- Chapter 99. A Comprehensive Study on Character Segmentation -- Chapter 100. Leaf Disease Detection Based On Machine Learning -- Chapter 101. Cross Domain Recommendation System using Ontology and Sequential Pattern Mining -- Chapter 102. A New Automated Medicine Prescription System for Plant Diseases -- Chapter 103. Identifying the risk factors for Diabetic Retinopathy using Decision Tree -- Chapter 104. Logarithmic Transform based Digital Watermarking Scheme -- Chapter 105. A comparative assessment of segmentations on skin lesion through various entropy and six sigma thresholds -- Chapter 106. Impact of Speckle Filtering on the Decomposition and Classification of Fully Polarimetric RADARSAT-2 Data -- Chapter 107. Estimation of Precipitation from the Doppler Weather Radar Images -- Chapter .Tipo de medio : Computadora Summary : These are the proceedings of the International Conference on ISMAC-CVB, held in Palladam, India, in May 2018. The book focuses on research to design new analysis paradigms and computational solutions for quantification of information provided by object recognition, scene understanding of computer vision and different algorithms like convolutional neural networks to allow computers to recognize and detect objects in images with unprecedented accuracy and to even understand the relationships between them. The proceedings treat the convergence of ISMAC in Computational Vision and Bioengineering technology and includes ideas and techniques like 3D sensing, human visual perception, scene understanding, human motion detection and analysis, visualization and graphical data presentation and a very wide range of sensor modalities in terms of surveillance, wearable applications, home automation etc. ISMAC-CVB is a forum for leading academic scientists, researchers and research scholars to exchange and share their experiences and research results about all aspects of computational vision and bioengineering. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]