Title CLOUD COMPUTING UNIT_5.pdf ✅

Cloud Computing Shree Medha Degree College ______________________________________________________________________________________________ ______________________________________________________________________________________________ Dept. of Computer Science From the desk of Mr.Chaitanya Reddy Mtech UNIT-5 Cloud Applications Scientific Applications-Healthcare ECG Analysis in the cloud: • ECG is abbreviated as Electro Cardio Gram. • ECG analysis in the cloud refers to the utilization of cloud computing resources and services to process and analyze the ECG data. • ECG data analysis the system is designed to facilitate self-monitoring for patients and to help physicians make diagnoses and manage the records of multiple patients conveniently. The overview of how ECG analysis can be performed in cloud is as follows: • Data Collection and Storage: The collected data is securely transmitted to the cloud for storage and further analysis. • Data Preprocessing: ECG data often requires preprocessing before analysis to remove noise.
Cloud Computing Shree Medha Degree College ______________________________________________________________________________________________ ______________________________________________________________________________________________ Dept. of Computer Science From the desk of Mr.Chaitanya Reddy Mtech • Signal Processing and Analysis: Cloud based signal processing algorithms can be applied to analyze ECG data for various purposes. • Real Time Monitoring and alerting: Cloud platforms enables real time monitoring of ECG data stream from devices or monitoring system. • Security and privacy: Cloud providers implement robust security measures to protect the sensitive ECG data. Advantages of ECG analysis in the cloud: • Scalability: Cloud services can scale up and down based on demand accommodating, varying workloads efficiently. • Cost Efficiency: Pay-as-you-go model eliminates upfront infrastructure costs, resulting in potential cost savings. • Accessibility and Remote Collaboration: Enables remote access to data of analysis tools, facilitating collaboration among healthcare professionals and researches. Disadvantages of ECG analysis in the cloud: • Dependency on Internet connectivity: Requires a stable and reliable internet connection for accessing cloud resources. • Security and privacy concern: Raises concern regarding the security and privacy of sensitive ECG data stored and processed in the cloud. Biological Application Gene Expression Data analysis for Cancer diagnosis: • Gene expression refers to the activity of genes in a cell, which can give us insights into various biological processes. • In the context of cancer diagnosis, analyzing gene expression data helps us understand the genetic changes that occur in cancer cells.
Cloud Computing Shree Medha Degree College ______________________________________________________________________________________________ ______________________________________________________________________________________________ Dept. of Computer Science From the desk of Mr.Chaitanya Reddy Mtech • Cloud computing is a technology that allows us to store and process large amounts of data on remote servers. • By using cloud computing for gene expression analysis, we can leverage (means taking benefit) its scalability and accessibility to efficiently analyze and interpret the data, leading to improved cancer diagnosis and treatment. • It is more secured and privacy is maintained when dealing with sensitive patient information. GEO Satellite image processing: • Satellite image processing is one of the significant computational methods which finds applications in military, agriculture, natural disaster prevention, natural resources identification. • Satellite Image Processing is an important field in research and development and consists of the images of earth and satellites taken by the means of artificial satellites. Firstly, the photographs are taken in digital form and later are processed by the computers to extract the information. Statistical methods are applied to the digital images and after processing the various discrete surfaces are identified by analyzing the pixel values. The main steps of satellite image processing are: • Radiometric Calibration: Radiometric calibration is a general term used in science and technology for any set of calibration techniques in support of the measurement of electromagnetic radiation and atomic particle radiation. • Geometric Correction: Geometric correction is a key technology for remote sensing image processing and application. The usual sensor models are based on collinear conditional equations and establish a strict imaging geometry model. • Spectral filtering: Spectral filtering is most commonly used to either select or eliminate information from an image based on the wavelength of the information. This filtering is usually affected by passing the light through a glass or plastic window.
Cloud Computing Shree Medha Degree College ______________________________________________________________________________________________ ______________________________________________________________________________________________ Dept. of Computer Science From the desk of Mr.Chaitanya Reddy Mtech • Terrain correction: Terrain correction corrects geometric distortions that lead to geolocation errors by moving image pixels into the proper spatial relationship with each other based on a Digital Elevation Model (DEM). Advantages of Satellite image processing: • Global Coverage: Satellite images provide a comprehensive view of the Earth's surface, allowing us to monitor and analyze vast areas, including remote and inaccessible regions. • Timely and Regular Updates: Satellites capture images on a regular basis, providing up-to-date information for monitoring and analysis. This is particularly useful for tracking dynamic phenomena like weather patterns or land use changes. • Multi-Spectral Data: Satellites capture images in different wavelengths, allowing us to analyze various aspects of the Earth's surface, such as vegetation health, land cover classification, or oceanic conditions. • Historical Analysis: By analyzing satellite images over time, we can study long-term trends, identify patterns, and understand the evolution of natural phenomena or human activities. • Remote Sensing: Satellite images provide valuable insights into areas that are difficult to access, such as disaster-stricken regions or conflict zones, aiding in disaster response and humanitarian efforts. Disadvantages of satellite image processing: • Cost: Acquiring and processing satellite imagery can be expensive, especially for high- resolution images from commercial satellites. • Limitations: Satellite images can be affected by factors like cloud cover, atmospheric interference, and varying image quality, which may impact the accuracy and reliability of the data.