Distinctive Point of Matlab
Foundation Domains โ MATLAB
List of Recent Toolbox - MATLAB
List of Recent Functions - MATLAB
Tendency of MATLAB Projects
Distinctive Point of Matlab
Foundation Domains โ MATLAB
List of Recent Toolbox - MATLAB
List of Recent Functions - MATLAB
Tendency of MATLAB Projects
Matlab Programming Assignment Help Research AssistanceMatlab Simulation
ย
This document provides information about MATLAB programming assignment help services offered by www.matlabsimulation.com, including help with wireless systems, FPGA systems, and antenna technologies. Wireless system help includes LTE, WiFi, radar, spectral sensing, and Bluetooth. FPGA system help covers sensor temperature reading using Xilinx FPGA, DC motor speed control with FPGA, interfacing Matlab with FPGA, and FPGA vision processing. Antenna technologies addressed are backing structures, dipole and monopole antennas, impedance and coupling, infinite configurations, and efficiency, geometry, directivity, and frequency. Contact details are provided at the end.
This document advertises MATLAB assignment help services from www.matlabsimulation.com. Key areas of support include FPGA design, image and video processing, computational biology applications, embedded systems, and DSP. Services offered are discrete event simulation, code generation and verification, algorithm development, mathematical modeling, and data analysis. Example assignment topics mentioned are cryptobiometrics, saliency algorithms for power consumption, visual tracking, facial expression recognition, and liver segmentation. Contact details are provided at the bottom.
Project Based on MATLAB For Final Year Research GuidanceMatlab Simulation
ย
This document discusses potential topics for MATLAB-based final year projects, including 5 top research areas: rule-based classification and Taguchi optimization techniques for satellite images; stationary scene imaging and ground target indication for SAR systems; reconstruction algorithms for under sampled AFM imaging; cross-sectional optoacoustic tomography for real-time inversion; and high-resolution image segmentation using region-line constraints. It also lists key MATLAB algorithms for projects: compression, binarization, image analysis, edge detection, and classification algorithms. Popular segmentation algorithms mentioned are expectation maximization clustering, K-means, morphological operations, and fuzzy possibilistic C-means clustering.
This document discusses WiFi network simulation projects and tools. It lists the major research topics as WiFi enabled LEDs, vehicle-to-vehicle electronics, WiFi imaging hotspots, traffic management protocols, and smart antenna designs. It also outlines some common simulation tools and software, including an open source LTE product, a Java-based simulator, an emulator for wireless sensor networks, and an open source simulator. Finally, it provides some key notes on the QualNet WiFi network simulator, including support for IPv6, access points, association, power management, and the distributed coordination function.
This document outlines topics and structure for WiMAX master's thesis projects. It lists the major applications of WiMAX as cellular backhaul, IP multimedia subsystem, video conferencing, multimedia applications, downloading media content, and Wi-Fi hotspots. It also details the typical stages of a thesis as an abstract, introduction, literature survey, current research, implementation and results, conclusion, and references. Finally, it lists notable simulators used for WiMAX research projects, including QualNet, NS3, OMNeT++, OPNET, and GloMoSim.
This document provides information about easy MATLAB projects on www.matlabsimulation.com. It lists several algorithms developed by experts for tasks like higher order singular value decomposition, type 2 fuzzy inference systems for classification and segmentation, and spatially constrained PFCM algorithm for segmentation. Modern areas addressed by projects are identified as object classification, image segmentation, video processing, image compression, enhancement and retrieval, and object detection and recognition. Performance metrics used in projects include misclassification rate, false detection and acceptance rate, specificity and sensitivity, segmentation and classification accuracy, and false rejection rate. Contact details are provided at the end.
This document lists Matlab projects in three main categories: major Matlab features, domains for Matlab projects, and advanced modules for Matlab projects. Some of the key features and capabilities of Matlab mentioned include functions and data plotting, interfacing with other languages, user interface creation, and matrix manipulations. Notable domains listed for Matlab projects are embedded systems, surveillance/security, biomedical imaging, image processing, and neural networks/remote sensing. Specific advanced project modules listed include real-time fire detection, image hiding/cryptography, visual object tracking, and energy conservation using color coding.
Video Processing Projects Using MATLAB Research GuidanceMatlab Simulation
ย
The document discusses recent trends in video processing projects using Matlab, including multi-dimensional signal processing, wireless networks for video streaming and transmission, and video retrieval via user queries of text, images, audio, and video. It also mentions artificial intelligence and cloud applications. The document then discusses using algorithms in Matlab for video processing projects involving video surveillance systems, video retrieval, video processing applications, video steganography, background subtraction, and video compression. Finally, it lists some tools for video processing Matlab projects, including MKVToolnix, AviSynth, MPlayer, MP4Box, and FFMpeg, and provides contact information.
Building, Training, and Deploying fast.ai Models Using Amazon SageMaker (AIM4...Amazon Web Services
ย
In a short space of time, fast.ai has become a popular Deep Learning library, driven by the success of the fast.ai online Massive Open Online Course (MOOC). It has allowed SW developers to achieve, in the span of a few weeks, state-of-the-art results in domains such as Computer Vision (CV), Natural Language Processing (NLP), and structured data machine learning. In this chalk talk, weย go into the details of building, training, and deploying fast.ai-based models using Amazon SageMaker.
Matlab Programming Assignment Help Research AssistanceMatlab Simulation
ย
This document provides information about MATLAB programming assignment help services offered by www.matlabsimulation.com, including help with wireless systems, FPGA systems, and antenna technologies. Wireless system help includes LTE, WiFi, radar, spectral sensing, and Bluetooth. FPGA system help covers sensor temperature reading using Xilinx FPGA, DC motor speed control with FPGA, interfacing Matlab with FPGA, and FPGA vision processing. Antenna technologies addressed are backing structures, dipole and monopole antennas, impedance and coupling, infinite configurations, and efficiency, geometry, directivity, and frequency. Contact details are provided at the end.
This document advertises MATLAB assignment help services from www.matlabsimulation.com. Key areas of support include FPGA design, image and video processing, computational biology applications, embedded systems, and DSP. Services offered are discrete event simulation, code generation and verification, algorithm development, mathematical modeling, and data analysis. Example assignment topics mentioned are cryptobiometrics, saliency algorithms for power consumption, visual tracking, facial expression recognition, and liver segmentation. Contact details are provided at the bottom.
Project Based on MATLAB For Final Year Research GuidanceMatlab Simulation
ย
This document discusses potential topics for MATLAB-based final year projects, including 5 top research areas: rule-based classification and Taguchi optimization techniques for satellite images; stationary scene imaging and ground target indication for SAR systems; reconstruction algorithms for under sampled AFM imaging; cross-sectional optoacoustic tomography for real-time inversion; and high-resolution image segmentation using region-line constraints. It also lists key MATLAB algorithms for projects: compression, binarization, image analysis, edge detection, and classification algorithms. Popular segmentation algorithms mentioned are expectation maximization clustering, K-means, morphological operations, and fuzzy possibilistic C-means clustering.
This document discusses WiFi network simulation projects and tools. It lists the major research topics as WiFi enabled LEDs, vehicle-to-vehicle electronics, WiFi imaging hotspots, traffic management protocols, and smart antenna designs. It also outlines some common simulation tools and software, including an open source LTE product, a Java-based simulator, an emulator for wireless sensor networks, and an open source simulator. Finally, it provides some key notes on the QualNet WiFi network simulator, including support for IPv6, access points, association, power management, and the distributed coordination function.
This document outlines topics and structure for WiMAX master's thesis projects. It lists the major applications of WiMAX as cellular backhaul, IP multimedia subsystem, video conferencing, multimedia applications, downloading media content, and Wi-Fi hotspots. It also details the typical stages of a thesis as an abstract, introduction, literature survey, current research, implementation and results, conclusion, and references. Finally, it lists notable simulators used for WiMAX research projects, including QualNet, NS3, OMNeT++, OPNET, and GloMoSim.
This document provides information about easy MATLAB projects on www.matlabsimulation.com. It lists several algorithms developed by experts for tasks like higher order singular value decomposition, type 2 fuzzy inference systems for classification and segmentation, and spatially constrained PFCM algorithm for segmentation. Modern areas addressed by projects are identified as object classification, image segmentation, video processing, image compression, enhancement and retrieval, and object detection and recognition. Performance metrics used in projects include misclassification rate, false detection and acceptance rate, specificity and sensitivity, segmentation and classification accuracy, and false rejection rate. Contact details are provided at the end.
This document lists Matlab projects in three main categories: major Matlab features, domains for Matlab projects, and advanced modules for Matlab projects. Some of the key features and capabilities of Matlab mentioned include functions and data plotting, interfacing with other languages, user interface creation, and matrix manipulations. Notable domains listed for Matlab projects are embedded systems, surveillance/security, biomedical imaging, image processing, and neural networks/remote sensing. Specific advanced project modules listed include real-time fire detection, image hiding/cryptography, visual object tracking, and energy conservation using color coding.
Video Processing Projects Using MATLAB Research GuidanceMatlab Simulation
ย
The document discusses recent trends in video processing projects using Matlab, including multi-dimensional signal processing, wireless networks for video streaming and transmission, and video retrieval via user queries of text, images, audio, and video. It also mentions artificial intelligence and cloud applications. The document then discusses using algorithms in Matlab for video processing projects involving video surveillance systems, video retrieval, video processing applications, video steganography, background subtraction, and video compression. Finally, it lists some tools for video processing Matlab projects, including MKVToolnix, AviSynth, MPlayer, MP4Box, and FFMpeg, and provides contact information.
Building, Training, and Deploying fast.ai Models Using Amazon SageMaker (AIM4...Amazon Web Services
ย
In a short space of time, fast.ai has become a popular Deep Learning library, driven by the success of the fast.ai online Massive Open Online Course (MOOC). It has allowed SW developers to achieve, in the span of a few weeks, state-of-the-art results in domains such as Computer Vision (CV), Natural Language Processing (NLP), and structured data machine learning. In this chalk talk, weย go into the details of building, training, and deploying fast.ai-based models using Amazon SageMaker.
Amazon CI/CD Practices for Software Development Teams - SRV320 - Chicago AWS ...Amazon Web Services
ย
At Amazon, continuous integration and continuous delivery (CI/CD) techniques enable collaboration, increase agility, and deliver a high-quality product faster. In this talk, we walk you through the practices we use for both the CI and CD of software delivery. For CI, we showcase how we incorporate pull requests to increase team collaboration. We also demonstrate how to optimize CI workflows for speed with caching, code analysis, and integration testing. For CD, we share example safety mechanisms, including canary testing, rollbacks, and Availability Zone redundancy. We use the AWS developer tools whose designs were based on the internal Amazon tooling: AWS CodeCommit, AWS CodeBuild, AWS CodePipeline, AWS CodeDeploy, and AWS X-Ray.
Amazon CI/CD Practices for Software Development Teams - SRV320 - Atlanta AWS ...Amazon Web Services
ย
At Amazon, continuous integration and continuous delivery (CI/CD) techniques enable collaboration, increase agility, and deliver a high-quality product faster. In this talk, we walk through best practices for both the CI and the CD of software delivery. For CI, we showcase how to incorporate pull requests to increase team collaboration, and demonstrate how to optimize CI workflows for speed with caching, code analysis, and integration testing. For CD, we share example safety mechanisms, including canary testing, rollbacks, and Availability Zone redundancy. We use AWS developer tools that were designed based on the internal Amazon tooling: AWS CodeCommit, AWS CodeBuild, AWS CodePipeline, and AWS CodeDeploy.
DevOps is the combination of cultural philosophies, practices, and tools that increases an organizationโs ability to deliver applications and services at high velocity: evolving and improving products at a faster pace than organizations using traditional software development and infrastructure management processes.
In this presentation we will:
- Deepen AWS DevOps services
- Understand how to release a serverless apllication
- Understand the benefits of technology with AWS Coud9
Amazon CI/CD Practices for Software Development Teams - SRV320 - Anaheim AWS ...Amazon Web Services
ย
At Amazon, continuous integration and continuous delivery (CI/CD) techniques enable collaboration, increase agility, and deliver a high-quality product faster. In this talk, we walk you through the practices we use for both the CI and the CD of software delivery. For CI, we showcase how we incorporate pull requests to increase team collaboration. We also demonstrate how to optimize CI workflows for speed with caching, code analysis, and integration testing. For CD, we share example safety mechanisms, including canary testing, rollbacks, and Availability Zone redundancy. We use the AWS developer tools that were designed based on the internal Amazon tooling: AWS CodeCommit, AWS CodeBuild, AWS CodePipeline, AWS CodeDeploy, and AWS X-Ray.
Unlocking the Power of ChatGPT and AI in Testing - NextSteps, presented by Ap...Applitools
ย
The document discusses AI tools for software testing such as ChatGPT, Github Copilot, and Applitools Visual AI. It provides an overview of each tool and how they can help with testing tasks like test automation, debugging, and handling dynamic content. The document also covers potential challenges with AI like data privacy issues and tools having superficial knowledge. It emphasizes that AI should be used as an assistance to humans rather than replacing them and that finding the right balance and application of tools is important.
Software Quality Management in Wipro and case tools ,Wipro Introduction and c...Preethi T G
ย
This topic is about Software Quality Management in Wipro company and case tools . This is very interesting topic about Wipro company in Software Engineering course .
Kostiantyn Yelisavenko "Mastering Macro Benchmarking in .NET"LogeekNightUkraine
ย
This document discusses macro vs micro benchmarking in .NET. It defines macro benchmarking as measuring the performance of whole applications or parts of applications from a user's perspective, while micro benchmarking involves repeatable measurement of specific sections of code isolated from virtual machine effects. The document also covers topics like when optimization is needed, profiling tools available for .NET like dotTrace and dotMemory, and concludes that profiling can help identify performance bottlenecks and memory leaks, and forecast potential performance gains.
Learn about how Amazon enables its developers to rapidly release and iterate software while maintaining industry-leading standards on security, reliability, and performance. In this talk, we will discuss the culture of two pizza teams and how to maintain a culture of DevOps in a large enterprise.
Platform governance, gestire un ecosistema di microservizi a livello enterpriseGiulio Roggero
ย
A livello enterprise, le moderne architetture distribuite coinvolgono molti team differenti, centinaia di sviluppatori e operations e migliaia microservizi ed API in produzione. Come si puรฒ gestire questa
e o
un'esplosione di costi e preservando il time-to-market?
As organizations try to meet faster delivery schedules and improve collaboration between development and operations, DevOps has become a hot topic. So, where does testing fit into a DevOps strategy? By narrowly focusing on just Dev and Ops, the term DevOps itself ends up missing testing. Nikhil Kaul gives an overview of recent trends in DevOps, specifically changes that have taken place in the testing industry in the past year. Nikhil explores why testing is becoming more important than ever before. With Apple, Google, and Microsoft making it easier for Dev and Ops to build and deploy cross-platform apps, there is more to testโand less time in which to test. Testing can become a bottleneck to the entire DevOps process, especially when automated UI-based test suites start failing due to a layout or a backend change. Nikhil explores how testing can facilitate the transformation to DevOps, ways to build a scalable testing framework, and important reusability practices that can be appliedโfrom development and test to operationsโto reduce post-deployment debugging time.
by Trevor Sullivan, Solutions Architect, AWS
Software release cycles are now measured in days instead of months. Cutting edge companies are continuously delivering high-quality software at a fast pace. In this session, we will cover how you can begin your DevOps journey by sharing best practices and tools used by the engineering teams at Amazon. We will showcase how you can accelerate developer productivity by implementing continuous Integration and delivery workflows. We will also cover an introduction to AWS CodeStar, AWS CodeCommit, AWS CodeBuild, AWS CodePipeline, AWS CodeDeploy, AWS Cloud9, and AWS X-Ray the services inspired by Amazon's internal developer tools and DevOps practice.
Cloud Video Streaming without Plug-InsBitmovin Inc
ย
In todayโs online environment, users expect video to be available on every platform with low startup delay and no buffering. Due to a reliance on older technologies, many companies throughout the video industry are losing subscriptions, losing advertisers and losing money as their users become frustrated by slow video. This presentation will explain how to deliver the best possible user experience, through cutting-edge online video streaming solutions with cloud encoding and video playback with HTML5.
Gerald Zankl, Director of Sales EMEA - Bitmovin Inc.
The document discusses the Lean Startup methodology. It defines a startup as an experiment designed to deliver a new product or service under conditions of uncertainty. The Lean Startup process advocates for iterating quickly through building minimum viable products and testing hypotheses through customer feedback before resources run out. Key aspects of Lean Startup include establishing a baseline with an MVP, tuning the product through experiments, and deciding when to pivot or persevere. Actionable metrics like the AARRR framework and cohort analysis are important for measuring progress. Pivots are changes to test new fundamental hypotheses when experiments reach diminishing returns.
This document provides tips and tricks for Automic support. It discusses how Automic support works with a global team of 73 ITIL-certified experts. It recommends gathering all necessary information in the first contact to improve resolution times. For Applications Manager issues, it suggests enabling different types of debugging depending on the problem. For ONE Automation issues, it introduces the Trace Scheduler and Logfile Collector support tools. It provides guidance on when and how to use tracing to troubleshoot performance problems.
Transforming Product Development - Transformation Day Montreal 2018Amazon Web Services
ย
AWS Transformation Day is designed for enterprise organizations looking to make the move to the cloud in order to become more responsive, agile and innovative, while still staying secure and compliant.
This document discusses WiFi network simulator projects and tools. It lists several popular network simulators like NS-3, OPNET, Omnet++ and Qualnet that can be used for WiFi network simulation projects in MATLAB. It then provides examples of recent research topics conducted using WiFi network simulators, including energy efficient load balancing between LTE and WiFi networks and jamming-resistant frequency hopping in cognitive WiFi networks. Finally, it outlines some channel estimation models used in WiFi network simulator projects, such as energy optimization with delay sensitive traffic and transmit power adaptation in WiFi mesh networks for rescue operations.
This document discusses different types of network simulators that can be used in MATLAB. It lists several open-source simulators like NS-2, NS-3, Omnet++ and proprietary simulators like Qualnet and Opnet. It also mentions some current research projects using network simulation in areas like supercomputer networks, isolated power systems, rumor routing protocols and wireless applications. Finally, it provides examples of modern research topics involving areas like smart grids, mobile network simulation, caching systems and taxi dispatching.
Scilab is a free and open source software that can be used to solve many numerical and technical problems with just a few lines of code. It contains hundreds of mathematical and simulation functions across major areas like control systems, digital signal processing, and bio medical image processing. Some recent research projects that have used Scilab include analyzing ECG signal denoising using discrete wavelet transforms and studying wireless energy transfer in fading relay channels. For any questions, users can contact the tutorial providers via their website or phone number provided.
This document discusses thesis writing support using MATLAB code. It lists major domains where MATLAB is used like pattern recognition, artificial intelligence, digital signal processing, and neural networks. It offers services like plagiarism checking, proofreading, writing the abstract and literature survey, and implementation support for theses involving MATLAB code. Students can contact the website or phone number listed for assistance with their MATLAB-based theses.
This document discusses Thesis MATLAB code support for medical image processing and various research topics. It provides examples of MATLAB code projects for object detection, video processing, food dietary assessment, retinal analysis, and lung analysis. Recent code projects cover topics like mitosis detection in breast cancer images using deep learning, breast imaging using differential microwave techniques, hyperspectral image classification using manifold geometry and domain adaptation, image quality assessment using extreme learning machines and NMF, and tampering localization in digital forensics using maximal entropy random walks. Contact information is provided for technical support.
This document provides information on various student MATLAB projects in areas such as image processing, network security, steganography, watermarking, and cryptography. It lists common image processing projects like image and audio enhancement, digital music, image and speech recognition, and medical imaging. The document also discusses artificial neural network projects using MATLAB, including projects on balancing angle and area distortions, optimizing bezigons for clipart images, cell migration reconstruction and visualization, multivariate time-varying data visualization, and perception and Hebbian learning. It provides contact information for the MATLAB project guides.
The document discusses source code for Matlab projects available on a website. It lists categories of source code like vectors, matrices, and graphical functions. It then provides examples of source code project topics like techniques for graph layouts and eye tracking data visualization. Further, it lists recent high-tech project topics involving areas like virtual environments, data projection, graph algorithms, flow visualization, and regression analysis. It concludes by providing contact details for the website.
This document discusses small Matlab projects in various areas including biometric authentication using techniques like lip-print, finger vein, iris, palm print, and fingerprint authentication. It also lists some latest research topics that these small Matlab projects could cover, such as RNA-seq data quantification, muscle force-length modeling, landslide displacement prediction, depth map upsampling, and steerable catheter classification. Major research fields supported by the small Matlab projects include functional brain mapping, smartphone localization, compressed sensing, technology node modeling, and medical knowledge base construction. Contact details are provided at the end.
Simple MATLAB Projects for Students Research AssistanceMatlab Simulation
ย
This document discusses simple MATLAB projects for students using Simulink. It describes modeling support, customizable block libraries, graphical editors, and automatic code generation for simulating bioinformatics, mechatronics, and electronics. It also discusses real-time simulation, code generation, signal processing, wireless systems, control systems, and state-based modeling toolboxes in Simulink. Example project topics highlighted include pointing and steering tasks with low latency, unsupervised feature learning with geometry representations, digital multiplexing with cluster-dot screens, and region-aware 3D warping for digital image-based rendering.
Scilab is an open source software for numerical computation and data processing. This document outlines several Scilab toolboxes and functions, modern research topics using Scilab, recent Scilab video tutorial projects, and contact information. Key toolboxes mentioned include the Particle Swarm optimization toolbox, Signal acquisition and instrument toolbox, Metanet graphs and network flow toolbox, and Artificial Neural Network Toolbox. Recent Scilab video tutorial projects highlighted detect air gap eccentricity in induction motors, remote mobile robot path planning, and fault diagnosis for medium voltage induction motors. Contact details are provided to learn more about Scilab video tutorials.
This document provides information on Scilab tutorial videos, including their uses in areas like neural networks, data mining, and control systems. Recent Scilab video projects discussed involve caching images, noise removal for lung cancer diagnosis, and automated cell segmentation. The document ends with contact information for the website providing Scilab tutorial videos.
Scilab is an open source software for modeling, computing, and simulation. The tutorial discusses Scilab's interface XCOS which allows for building and editing models, submodeling for reuse, and customizing blocks and palettes. It also supports simulation, code generation, and result visualization. Additional functionality covered includes basic operations, control, signal processing, and plotting astronomical data. Major supported areas are listed as LMI optimization, control, animations, instrument modeling, aerospace modeling, and more. Contact information is provided at the end.
Scilab is an open source software for numerical computation and programming that provides help and support for domains including wireless sensor networks, wireless communication, data mining, signal processing, and image processing. It also offers major applications support for digital signal processing tasks such as adaptive filtering, waveform quantization and compression, linear and circular convolution, and multirate signal processing. Additionally, Scilab provides programming help for notable research areas including computation offloading frameworks, lossy image compression using SVD coding, vehicle detection and classification using audio visual cues, multi-temporal fusion of CT images for liver cancer diagnosis, Gaussian filtering of compressively sensed images, and region-based multi-focus image fusion using spectral parameter variance.
The document discusses Scilab programming help and commands. It provides an overview of common Scilab commands like names, ans, what, who, and clear. It also lists recent Scilab programming projects involving topics like surface reconstruction, image segmentation, image registration, blind source separation, and image classification. Contact information is provided at the end for any additional Scilab programming help.
This document provides information about Scilab program help including strong concepts, programming functions, and recent research topics in Scilab. Some strong concepts discussed are image compression using multilevel thresholding, motion deblurring from a single image, and spatial domain color image enhancement. Programming functions covered include solving differential equations, matrices and vectors, plotting, and variables. Recent research topics mentioned are constant SNR predictive lossy hyper spectral image compression, computer aided skin lesion detection, open biplanar MRI using inverse boundary element method, and synthetic aperture imaging with thinned linear sensor arrays. Contact details are provided at the end.
The document discusses Scilab support and services provided by www.matlabsimulation.com, including Scilab installation support for various versions on Windows, Linux and Mac OS, Scilab toolboxes that provide additional functionality, and topics covered under the Scilab help project such as signal processing, image processing, and applications in fields like ground penetrating radar and telecommunications. Contact details are provided at the end.
A Visual Guide to 1 Samuel | A Tale of Two HeartsSteve Thomason
ย
These slides walk through the story of 1 Samuel. Samuel is the last judge of Israel. The people reject God and want a king. Saul is anointed as the first king, but he is not a good king. David, the shepherd boy is anointed and Saul is envious of him. David shows honor while Saul continues to self destruct.
How to Setup Default Value for a Field in Odoo 17Celine George
ย
In Odoo, we can set a default value for a field during the creation of a record for a model. We have many methods in odoo for setting a default value to the field.
A Free 200-Page eBook ~ Brain and Mind Exercise.pptxOH TEIK BIN
ย
(A Free eBook comprising 3 Sets of Presentation of a selection of Puzzles, Brain Teasers and Thinking Problems to exercise both the mind and the Right and Left Brain. To help keep the mind and brain fit and healthy. Good for both the young and old alike.
Answers are given for all the puzzles and problems.)
With Metta,
Bro. Oh Teik Bin ๐๐ค๐ค๐ฅฐ
Elevate Your Nonprofit's Online Presence_ A Guide to Effective SEO Strategies...TechSoup
ย
Whether you're new to SEO or looking to refine your existing strategies, this webinar will provide you with actionable insights and practical tips to elevate your nonprofit's online presence.
Temple of Asclepius in Thrace. Excavation resultsKrassimira Luka
ย
The temple and the sanctuary around were dedicated to Asklepios Zmidrenus. This name has been known since 1875 when an inscription dedicated to him was discovered in Rome. The inscription is dated in 227 AD and was left by soldiers originating from the city of Philippopolis (modern Plovdiv).
THE SACRIFICE HOW PRO-PALESTINE PROTESTS STUDENTS ARE SACRIFICING TO CHANGE T...indexPub
ย
The recent surge in pro-Palestine student activism has prompted significant responses from universities, ranging from negotiations and divestment commitments to increased transparency about investments in companies supporting the war on Gaza. This activism has led to the cessation of student encampments but also highlighted the substantial sacrifices made by students, including academic disruptions and personal risks. The primary drivers of these protests are poor university administration, lack of transparency, and inadequate communication between officials and students. This study examines the profound emotional, psychological, and professional impacts on students engaged in pro-Palestine protests, focusing on Generation Z's (Gen-Z) activism dynamics. This paper explores the significant sacrifices made by these students and even the professors supporting the pro-Palestine movement, with a focus on recent global movements. Through an in-depth analysis of printed and electronic media, the study examines the impacts of these sacrifices on the academic and personal lives of those involved. The paper highlights examples from various universities, demonstrating student activism's long-term and short-term effects, including disciplinary actions, social backlash, and career implications. The researchers also explore the broader implications of student sacrifices. The findings reveal that these sacrifices are driven by a profound commitment to justice and human rights, and are influenced by the increasing availability of information, peer interactions, and personal convictions. The study also discusses the broader implications of this activism, comparing it to historical precedents and assessing its potential to influence policy and public opinion. The emotional and psychological toll on student activists is significant, but their sense of purpose and community support mitigates some of these challenges. However, the researchers call for acknowledging the broader Impact of these sacrifices on the future global movement of FreePalestine.
2. 5 Top Video Processing Systems
The following are the trends in video processing system,
Handling GoPro
Cameras
Deal with 4K UHD
Videos
Cinema graphs
(Emails, and Social
Media)
Virtual and
Augmented Reality
Drones and Aerial
Video
3. 5 Best Tools in Video Processing
These are the best tools which we used for video processing,
OpenCV Scilab
Python Octave
Matlab
4. Design of Video Processing Projects
These are the process for designing our video processing projects,
BoVW Generation
Motion Estimation &
Similarity Matching
Frame Enhancement
Conversion & Noise
Reduction
Key Frame
Extraction,Selection &
Multi-feature Extraction
Video Classification
5. Trends in Video Processing Projects
Analyze Thermal
via FLIR Camera
01
Pedestrain Tracking in
Car Moving
03
02 Kalman Filter for Object
Tracking
There are three examples to know the trends which are stated below,