The Visualization in 4D. The content of presentations is much more explainable compare to reading through slides only, it also has lots of animation and short Video to fully drive home the 4D concept.
This document discusses the history and applications of 3D holographic technology. It begins by explaining that 3D technology has existed since the 1830s with the invention of stereoscopic photography. Different types of 3D glasses are described that allow the illusion of 3D to be viewed. The document outlines key milestones in the development of holography, from its discovery in 1947 to its use in various applications today such as movies, advertising, gaming, education and more. The future potential of holographic technology is envisioned, including uses in education, medicine and everyday devices.
This document discusses principles and practices of drone flight planning for photogrammetry purposes. It explains that overlapping photos are needed to reconstruct 3D geometry through structure from motion algorithms. The key stages of SfM processing are described, including feature detection, sparse and dense reconstruction, meshing, and texturing. Several open-source SfM software options are listed as alternatives to commercial programs. Limitations of SfM related to feature similarity, non-Lambertian surfaces, and thin structures are also noted.
1) 2D geometric transformations include translations, scaling, and rotations. They can be represented by transformation matrices.
2) Translation moves an object by adding offsets to x and y coordinates. It can be represented by a 3x3 matrix with 1s on the diagonal and offsets as the last column.
3) Scaling enlarges or shrinks an object by multiplying x and y coordinates by scaling factors. It can be represented by a 2x2 diagonal matrix with scaling factors.
4) Rotation rotates an object by applying a trigonometric transformation to x and y coordinates. It can be represented by a 2x2 rotation matrix containing cosine and sine of the rotation angle.
Computer Vision: Shape from Specularities and MotionDamian T. Gordon
The document discusses using specularities and motion to extract surface shape from images. Specifically, it discusses using:
1) Structured highlights from a spherical array of light sources to determine surface orientation of specular surfaces from the detected highlights.
2) Photometric stereo with multiple light source positions to determine surface orientation of both diffuse and specular surfaces.
3) Stereo techniques using highlights detected from multiple camera views to reconstruct the 3D shape of specular surfaces.
Digital signatures are often used to implement electronic signatures, a broader term that refers to any electronic data that carries the intent of a signature, but not all electronic signatures use digital signatures. In some countries, including the United States, India, and members of the European Union, electronic signatures have legal significance.
This document discusses 3D holographic projection technology. It begins with an introduction to holography, including its history and how it works. The document then discusses the importance and workings of 3D holographic projection specifically. Some key advantages are that it allows for glasses-free 3D displays without the need for a projection screen. The document outlines various applications such as live shows, advertising, education and more. It concludes by discussing the future potential of the technology and how holographic displays may replace current screens.
This document discusses the history and applications of 3D holographic technology. It begins by explaining that 3D technology has existed since the 1830s with the invention of stereoscopic photography. Different types of 3D glasses are described that allow the illusion of 3D to be viewed. The document outlines key milestones in the development of holography, from its discovery in 1947 to its use in various applications today such as movies, advertising, gaming, education and more. The future potential of holographic technology is envisioned, including uses in education, medicine and everyday devices.
This document discusses principles and practices of drone flight planning for photogrammetry purposes. It explains that overlapping photos are needed to reconstruct 3D geometry through structure from motion algorithms. The key stages of SfM processing are described, including feature detection, sparse and dense reconstruction, meshing, and texturing. Several open-source SfM software options are listed as alternatives to commercial programs. Limitations of SfM related to feature similarity, non-Lambertian surfaces, and thin structures are also noted.
1) 2D geometric transformations include translations, scaling, and rotations. They can be represented by transformation matrices.
2) Translation moves an object by adding offsets to x and y coordinates. It can be represented by a 3x3 matrix with 1s on the diagonal and offsets as the last column.
3) Scaling enlarges or shrinks an object by multiplying x and y coordinates by scaling factors. It can be represented by a 2x2 diagonal matrix with scaling factors.
4) Rotation rotates an object by applying a trigonometric transformation to x and y coordinates. It can be represented by a 2x2 rotation matrix containing cosine and sine of the rotation angle.
Computer Vision: Shape from Specularities and MotionDamian T. Gordon
The document discusses using specularities and motion to extract surface shape from images. Specifically, it discusses using:
1) Structured highlights from a spherical array of light sources to determine surface orientation of specular surfaces from the detected highlights.
2) Photometric stereo with multiple light source positions to determine surface orientation of both diffuse and specular surfaces.
3) Stereo techniques using highlights detected from multiple camera views to reconstruct the 3D shape of specular surfaces.
Digital signatures are often used to implement electronic signatures, a broader term that refers to any electronic data that carries the intent of a signature, but not all electronic signatures use digital signatures. In some countries, including the United States, India, and members of the European Union, electronic signatures have legal significance.
This document discusses 3D holographic projection technology. It begins with an introduction to holography, including its history and how it works. The document then discusses the importance and workings of 3D holographic projection specifically. Some key advantages are that it allows for glasses-free 3D displays without the need for a projection screen. The document outlines various applications such as live shows, advertising, education and more. It concludes by discussing the future potential of the technology and how holographic displays may replace current screens.
Geometric modelling was introduced in the 1960s using electronic drafting boards to draw 2D designs. In the 1970s, wireframe and surface models were developed, and by the mid-1980s, solid models could be drawn. Current practices include high data associativity, digital mock-up software allowing different models to be combined, and file formats like STEP and IGES enabling engineering data exchange. Geometric modelling has benefited design through automation, increased productivity, 3D visualization, and electronic data transfer for manufacturing.
Holography is a technique that uses lasers and interference to record light fields and recreate three-dimensional images without the original objects present. It involves recording the interference pattern of a light source and light scattered off objects. When illuminated with the original light source, the hologram reconstructs the light field and original scene appears three-dimensional. Current applications include holographic interferometry, security holograms, and heads-up displays. Future uses may include holographic memory, optical computing, and architectural modeling and sales.
- The sixth sense technology allows users to interact with digital information by using hand gestures without any hardware devices. It was first developed in 1990 as a wearable computer and camera system.
- The key components are a camera to track hand gestures, a projector to display information onto surfaces, and a mobile device to handle internet connectivity. The camera sends gesture data to the mobile device for processing using computer vision techniques.
- Applications include using hand gestures to draw on surfaces, get flight information by making circular gestures, and make calls by typing on an projected keypad. The technology aims to seamlessly connect the physical and digital world.
Recon Outpost system is designed to make available tools for home security and investigators that need to research surrounding ambient with video data in real time. The system can analyse and identify biometric faces in live video, and provide real time surveillance in adverse weather conditions.
This document discusses iris recognition as a biometric security method. It provides an overview of how iris recognition works, including segmentation of the iris region, normalization, and feature extraction and matching. The accuracy of iris recognition is close to 82%, with an equal error rate of 18.3%. While iris recognition has advantages like the uniqueness and stability of iris patterns, concerns include the high cost of implementation and challenges with non-ideal iris images under different lighting conditions.
This document provides an overview of stereo vision algorithms and applications. It begins with an introduction to stereo vision and the correspondence problem. Key steps in a stereo vision system are discussed, including calibration, rectification, stereo matching algorithms, and triangulation. Both local and global stereo matching approaches are described. Several challenges in stereo correspondence are highlighted. The document also outlines datasets, architectures, and commercial stereo cameras for evaluation and implementation.
this presentation help to understand about the basic of digital photogrammetry,, its also help for understand about the concept of digital photography software available now a days , and uses of various software in the field of RS and GIS.
The document discusses different types of projections in 3D computer graphics, including orthographic, oblique, and perspective projections. It explains the geometry and matrices used to perform perspective projections, mapping 3D points onto a 2D view plane using similar triangles. The text also compares perspective versus parallel projections, noting that perspective projection preserves angles and looks more realistic while parallel projection preserves distances and angles.
Photogrammetry is the technique of obtaining reliable spatial information about physical objects through analyzing photographs. It involves taking overlapping aerial photographs from an elevated position and processing them using software to extract 3D spatial data and produce accurate maps, models and measurements. The key outputs of photogrammetry include digital elevation models (DEMs), digital terrain models (DTMs), contour maps, orthophotos and 3D city models. Photogrammetry provides precise, cost-effective representations of geographic features and terrain.
Introduction to Optical See-Through HMDs in ARYuta Itoh
This document discusses optical see-through head-mounted displays (OST-HMDs) in augmented reality. It covers the history of OST-HMDs and VR HMDs, challenges with OST-HMDs like field of view and latency, and approaches to improve realism through better visuals, spatial alignment, and temporal synchronization. The document also envisions future applications of OST-HMDs for vision augmentation and enhancement. These could involve analyzing individual eyes, compensating for visual impairments, and even predicting vision to enhance human capabilities.
ArcGIS Online is a cloud-based platform for making and sharing maps, apps, and other geographic data. It allows users to create web maps using their own data combined with basemaps and map layers from Esri and other users. Content can be shared publicly or with private groups for collaboration. ArcGIS Online also provides ready-to-use apps, analysis tools, and templates to help organizations visualize and analyze their geographic data.
3D laser scanning uses lasers to digitally capture the shape and size of physical objects, generating highly accurate point clouds of the object's surface. It allows for the quick measurement of complex shapes and fine details. Laser scanning provides safety benefits by reducing risks from climbing, burns, or chemical exposure. It also saves time and money by reducing fieldwork and rework, helps avoid schedule delays by finding clashes early, and improves scope definition and quality by capturing a detailed snapshot in time.
Face recognition technology may help solve problems with identity verification by analyzing facial features instead of passwords or pins. The document outlines the key stages of face recognition systems including data acquisition, input processing, and image classification. It also discusses advantages like convenience and ease of use, as well as limitations such as an inability to distinguish identical twins. Potential applications are identified in government, security, and commercial sectors.
Lecture 2 in the COMP 4010 AR/VR class taught at the University of South Australia. This lecture is about VR Presence and Human Perception. Taught by Mark Billinghurst on August 6th 2019.
This document summarizes a seminar presentation on computer vision and technological advancements. It discusses concepts like infinite computing with the brain, introduction to computer vision including goals and related fields. It covers applications of computer vision like face detection, object detection and tracking, and object recognition. It also discusses advantages and disadvantages of computer vision as well as hazards of technologies like Google Glass. Finally, it presents recent works on motion microscopy and visual microphone by Michael Rubinstein and Fei Fei Li's ImageNet concept to train machines to recognize objects through large image datasets and CNN algorithms.
Laser scanning uses a laser to quickly measure distances and angles to objects, creating a 3D digital representation. It is used for renovation and construction projects, facility mapping, documentation, and integrating scan data with BIM models. The scanning process involves placing targets and scanning from multiple locations to capture all sides of an area. Scans are then merged and processed into 3D drawings. Benefits include easier as-built documentation, reduced data collection time and costs, and allowing any angle views of spaces.
A brief introduction to Augmented Reality and its Applications.
Contents:
1. Definition
2. History
3. Goal
4. Working
5. Types of Display
6. Applications
Visualization is an important reading comprehension strategy where readers create mental images of the text as they read. Visualizing text makes reading more personal and memorable by engaging readers' senses and prior knowledge. As readers visualize, they gain a deeper understanding of what they read and can recall it for longer periods of time. The document provides an example group activity where students visualize a story without pictures and compare their mental images to the actual illustrations. Individual visualization exercises are also suggested to help readers strengthen this important skill.
This document provides guidance for teachers to assess students' ability to visualize passages through drawing. It includes two short passages and assessment guides. Teachers are instructed to model drawing based on a passage, have students draw what they visualize from Passage 1, and use the assessment sheet to analyze elements included in their drawings and plan further instruction based on their abilities. Passage 2 is then used to check student progress in visualizing.
Geometric modelling was introduced in the 1960s using electronic drafting boards to draw 2D designs. In the 1970s, wireframe and surface models were developed, and by the mid-1980s, solid models could be drawn. Current practices include high data associativity, digital mock-up software allowing different models to be combined, and file formats like STEP and IGES enabling engineering data exchange. Geometric modelling has benefited design through automation, increased productivity, 3D visualization, and electronic data transfer for manufacturing.
Holography is a technique that uses lasers and interference to record light fields and recreate three-dimensional images without the original objects present. It involves recording the interference pattern of a light source and light scattered off objects. When illuminated with the original light source, the hologram reconstructs the light field and original scene appears three-dimensional. Current applications include holographic interferometry, security holograms, and heads-up displays. Future uses may include holographic memory, optical computing, and architectural modeling and sales.
- The sixth sense technology allows users to interact with digital information by using hand gestures without any hardware devices. It was first developed in 1990 as a wearable computer and camera system.
- The key components are a camera to track hand gestures, a projector to display information onto surfaces, and a mobile device to handle internet connectivity. The camera sends gesture data to the mobile device for processing using computer vision techniques.
- Applications include using hand gestures to draw on surfaces, get flight information by making circular gestures, and make calls by typing on an projected keypad. The technology aims to seamlessly connect the physical and digital world.
Recon Outpost system is designed to make available tools for home security and investigators that need to research surrounding ambient with video data in real time. The system can analyse and identify biometric faces in live video, and provide real time surveillance in adverse weather conditions.
This document discusses iris recognition as a biometric security method. It provides an overview of how iris recognition works, including segmentation of the iris region, normalization, and feature extraction and matching. The accuracy of iris recognition is close to 82%, with an equal error rate of 18.3%. While iris recognition has advantages like the uniqueness and stability of iris patterns, concerns include the high cost of implementation and challenges with non-ideal iris images under different lighting conditions.
This document provides an overview of stereo vision algorithms and applications. It begins with an introduction to stereo vision and the correspondence problem. Key steps in a stereo vision system are discussed, including calibration, rectification, stereo matching algorithms, and triangulation. Both local and global stereo matching approaches are described. Several challenges in stereo correspondence are highlighted. The document also outlines datasets, architectures, and commercial stereo cameras for evaluation and implementation.
this presentation help to understand about the basic of digital photogrammetry,, its also help for understand about the concept of digital photography software available now a days , and uses of various software in the field of RS and GIS.
The document discusses different types of projections in 3D computer graphics, including orthographic, oblique, and perspective projections. It explains the geometry and matrices used to perform perspective projections, mapping 3D points onto a 2D view plane using similar triangles. The text also compares perspective versus parallel projections, noting that perspective projection preserves angles and looks more realistic while parallel projection preserves distances and angles.
Photogrammetry is the technique of obtaining reliable spatial information about physical objects through analyzing photographs. It involves taking overlapping aerial photographs from an elevated position and processing them using software to extract 3D spatial data and produce accurate maps, models and measurements. The key outputs of photogrammetry include digital elevation models (DEMs), digital terrain models (DTMs), contour maps, orthophotos and 3D city models. Photogrammetry provides precise, cost-effective representations of geographic features and terrain.
Introduction to Optical See-Through HMDs in ARYuta Itoh
This document discusses optical see-through head-mounted displays (OST-HMDs) in augmented reality. It covers the history of OST-HMDs and VR HMDs, challenges with OST-HMDs like field of view and latency, and approaches to improve realism through better visuals, spatial alignment, and temporal synchronization. The document also envisions future applications of OST-HMDs for vision augmentation and enhancement. These could involve analyzing individual eyes, compensating for visual impairments, and even predicting vision to enhance human capabilities.
ArcGIS Online is a cloud-based platform for making and sharing maps, apps, and other geographic data. It allows users to create web maps using their own data combined with basemaps and map layers from Esri and other users. Content can be shared publicly or with private groups for collaboration. ArcGIS Online also provides ready-to-use apps, analysis tools, and templates to help organizations visualize and analyze their geographic data.
3D laser scanning uses lasers to digitally capture the shape and size of physical objects, generating highly accurate point clouds of the object's surface. It allows for the quick measurement of complex shapes and fine details. Laser scanning provides safety benefits by reducing risks from climbing, burns, or chemical exposure. It also saves time and money by reducing fieldwork and rework, helps avoid schedule delays by finding clashes early, and improves scope definition and quality by capturing a detailed snapshot in time.
Face recognition technology may help solve problems with identity verification by analyzing facial features instead of passwords or pins. The document outlines the key stages of face recognition systems including data acquisition, input processing, and image classification. It also discusses advantages like convenience and ease of use, as well as limitations such as an inability to distinguish identical twins. Potential applications are identified in government, security, and commercial sectors.
Lecture 2 in the COMP 4010 AR/VR class taught at the University of South Australia. This lecture is about VR Presence and Human Perception. Taught by Mark Billinghurst on August 6th 2019.
This document summarizes a seminar presentation on computer vision and technological advancements. It discusses concepts like infinite computing with the brain, introduction to computer vision including goals and related fields. It covers applications of computer vision like face detection, object detection and tracking, and object recognition. It also discusses advantages and disadvantages of computer vision as well as hazards of technologies like Google Glass. Finally, it presents recent works on motion microscopy and visual microphone by Michael Rubinstein and Fei Fei Li's ImageNet concept to train machines to recognize objects through large image datasets and CNN algorithms.
Laser scanning uses a laser to quickly measure distances and angles to objects, creating a 3D digital representation. It is used for renovation and construction projects, facility mapping, documentation, and integrating scan data with BIM models. The scanning process involves placing targets and scanning from multiple locations to capture all sides of an area. Scans are then merged and processed into 3D drawings. Benefits include easier as-built documentation, reduced data collection time and costs, and allowing any angle views of spaces.
A brief introduction to Augmented Reality and its Applications.
Contents:
1. Definition
2. History
3. Goal
4. Working
5. Types of Display
6. Applications
Visualization is an important reading comprehension strategy where readers create mental images of the text as they read. Visualizing text makes reading more personal and memorable by engaging readers' senses and prior knowledge. As readers visualize, they gain a deeper understanding of what they read and can recall it for longer periods of time. The document provides an example group activity where students visualize a story without pictures and compare their mental images to the actual illustrations. Individual visualization exercises are also suggested to help readers strengthen this important skill.
This document provides guidance for teachers to assess students' ability to visualize passages through drawing. It includes two short passages and assessment guides. Teachers are instructed to model drawing based on a passage, have students draw what they visualize from Passage 1, and use the assessment sheet to analyze elements included in their drawings and plan further instruction based on their abilities. Passage 2 is then used to check student progress in visualizing.
4D visualization links a 3D model to a project schedule, allowing visualization of sequencing, milestones, tasks, and simultaneous activities. The level of detail can go down to individual parts. Animating process flows simulates assembly and material movement. When used for BIM, the entire project yard can be sequenced to coordinate areas, flows, and staging. For projects without 3D models, critical areas can still be modeled to validate concurrent multi-discipline activities in constrained schedules. Benefits include validating sequences, optimizing resources, verifying tests, and allowing progress updates.
The document provides various analogies to illustrate the structure of a well-written paragraph, including a hamburger, pyramid, cloud, and artichoke. It emphasizes that all sentences should clearly relate back to and support the main topic sentence. A unified paragraph contains a single focus, with every sentence explaining, exemplifying or expanding on the central idea without irrelevant facts.
4D-IGRT involves accounting for tumor motion during radiation therapy delivery. It uses 4D computed tomography (4D CT) imaging, which captures tumor position at different respiratory phases. This allows delineation of an internal target volume (ITV) that encompasses the full range of tumor motion. Treatment can then be delivered over the entire respiratory cycle or gated to a specific phase such as end-exhalation using respiratory tracking systems. The goal is to ensure accurate radiation delivery while minimizing doses to surrounding healthy tissues.
3D printing is an additive manufacturing process that builds 3D objects by laying down successive layers of material. There are several major 3D printing technologies that differ in the materials and techniques used, such as stereolithography (SLA), fused deposition modeling (FDM), and selective laser sintering (SLS). 4D printing is an emerging technology that uses smart materials and 3D printing to create objects that can change shapes or properties when exposed to stimuli like water, heat or light. Potential applications of 4D printing include self-assembling medical devices, adaptive robotics, and shape-changing structures.
As smartphones evolve researchers are studying new techniques to ease the human-mobile interaction. We propose EyePhone, a novel “hand-free” interfacing system capable of driving mobile applications/functions using only the user’s eyes movement and actions (e.g., wink). EyePhone tracks the user’s eye movement across the phone’s display using the camera mounted on the front of the phone; more specifically, machine learning algorithms are used to: i) track the eye and infer its position on the mobile phone display as a user views a particular application; and ii) detect eye blinks that emulate mouse clicks to activate the target application under view. We present a prototype implementation of EyePhone on a Nokia N810, which is capable of tracking the position of the eye on the display, mapping this positions to an application that is activated by a wink. At no time does the user have to physically touch the phone display.
This document summarizes a research paper titled "EyePhone: Activating Mobile Phones With Your Eyes". It discusses the following key points:
1. The paper proposes a system called EyePhone that allows users to control their mobile phone with eye movements and blinks detected by the front-facing camera. EyePhone tracks the user's eye on the display and detects blinks to emulate mouse clicks.
2. EyePhone works in four phases - eye detection, open eye template creation, eye tracking, and blink detection. It uses template matching and thresholding techniques to detect eyes, track eye movements, and determine when the user blinks.
3. The system was evaluated for accuracy of eye tracking and blink
This document discusses various applications of 4D technology including 4D cinema, games, buildings, ultrasound, and a virtual human caveman project. 4D cinema combines 3D movies with physical effects like movement and smells. 4D ultrasound provides 4D images of a fetus over time. The caveman project aims to create virtual maps integrating medical data about diseases with a digital human body atlas.
The document outlines the main stages of image processing which include image acquisition, restoration, enhancement, representation and description, segmentation, object recognition, color processing, compression, and morphological operations. It describes each stage in detail, explaining their purposes and some common techniques used. The overall stages take a raw image and perform various operations to extract useful information and simplify analysis for applications like object identification and extraction.
Usage of Shape From Focus Method For 3D Shape Recovery And Identification of ...CSCJournals
Shape from focus is a method of 3D shape and depth estimation of an object from a sequence of pictures with changing focus settings. In this paper we propose a novel method of shape recovery, which was originally created for shape and position identification of glass pipette in medical hybrid robot. In proposed algorithm, Sum of Modified Laplacian is used as a focus operator. Each step of the algorithm is tested in order to pick the operators with the best results. Reconstruction allows not only to determine shape but also precisely define position of the object. The results of proposed method, performed on real objects, have shown the efficiency of this scheme.
Feature Analysis for Affect Recognition Supporting Task Sequencing in Adaptiv...janningr
Originally, the task sequencing in adaptive intelligent tutoring systems needs information gained from expert and domain knowledge as well as information about former performances. In a former work a new efficient task sequencer based on a performance prediction system was presented, which only needs former performance information but not the expensive expert and domain knowledge. This task sequencer uses the output of the performance prediction to sequence the tasks according to the theory of Vygotsky’s Zone of Proximal Development. In this presentation we aim to support this sequencer by a further automatically to gain information source, namely speech input from the students interacting with the tutoring system. The proposed approach extracts features from students speech data and applies to that features an automatic affect recognition method. The output of the affect recognition method indicates, if the last task was too easy, too hard or appropriate for the student. In this presentation we (1) propose a new approach for supporting task sequencing by affect recognition, (2) present an analysis of appropriate features for affect recognition extracted from students speech input and (3) show the suitability of the proposed features for affect recognition for supporting task sequencing in adaptive intelligent tutoring systems.
Scalability in Model Checking through Relational DatabasesCSCJournals
This document discusses an ATL model checking tool that uses relational databases to improve scalability. The tool allows designers to interactively build models as directed graphs and verify properties expressed as ATL formulas. The key contributions are implementing the Pre function using relational algebra expressions translated to SQL, and generating an ATL model checker from a grammar specification using ANTLR. Relational databases improve performance by efficiently representing large models for verification.
Image Enhancement by Image Fusion for Crime InvestigationCSCJournals
This document proposes a method for image enhancement through image fusion for crime investigation applications. It summarizes existing image enhancement techniques like histogram equalization and presents their limitations. It then describes the proposed method which involves constructing an image pyramid and performing a wavelet transformation on input images. The pyramid and wavelet transformed images are then fused to generate an enhanced output image with improved contrast and information content. Experimental results on a surveillance camera image show that the proposed fusion scheme provides better perception for human visual analysis compared to traditional enhancement techniques.
Fourth Dimension Level 1 By Dr.Moiz HussainEhtesham Mirxa
The Fourth Dimension® Educational series
Conceived, Created and Conducted by Prof. Dr Moiz Hussain
Motive ......
“To create a world of those who can alter the reality of the existing world to make it a better place to live and for those who follow”
Level-1
THE AWAKENING
From the Impossible to the POSSIBLE
(Conducted in Pakistan, India, UAE, USA, UK, Germany, Austria, Switzerland and KSA)
The Fourth Dimension® is one of the most powerful and result oriented workshop that can change your life from a level of ordinary to outstanding. Based on programming the sub conscious mind to attract health, wealth and happiness in your life through the learning and use of directed day dreaming and creative visualization in area such as;
• Education-learning, higher grades
• Improved memory and concentration
• Decision making
• Out of Box thinking
• Intuition and sixth sense development
• Creativity, imagination and visualization of goals
• Goal setting and goal achievement
• Self confidence and personal charisma
• Prevention and healing of diseases, disorders and many health conditions
• Improved relationship and quality in relationships-happiness
• Success in Business, job and career
• Those suffering from Panic attack, anxiety, Depression, Stress,
• Low self esteem, Lack of Confidence
• Weak memory and concentration
• Restful sleep
• Anti aging
• Finding love and the right partner
• Attracting Wealth in your business
• Creating massive unprecedented success in your professional and personal life
• Any much much more
Who should attend?
Business executives, employees and professionals
Entrepreneurs & Leaders
Students
Housewives
Doctors, Psychologist, Psychiatrist, Occupational Therapist
Wealth management Managers
Police, Military and law and order enforcement agencies
Just anyone who wants success and wants to achieve the impossible
Requirements
Take a High Protein Breakfast when you come for the workshop (eggs, cheese, meat, poultry)
Wear loose clothing
Bring 4 passport size colored photographs
Sign the code of ethic agreement
Recording and note taking is not allowed, cell phones must be switched off during workshop
Those who have attended the Fourth Dimension workshop includes:
Senior Doctors, Psychiatrist and Psychologists
Business tycoons, Stock management managers, brokers
Senior and middle management
Decision makers including presidents of multinational companies, Banks
Govt, Police and senior Military officials
Students of O and A Levels, College and University students.
Scientists, Research scholars, Artists , Musicians and singers
TV and Film actors and actress
Leaders and Entrepreneurs
Off-line English Character Recognition: A Comparative Surveyidescitation
It has been decades since the evolution of idea that
human brain can be mimicked by artificial neuron like
mathematical structures. Till date, the development of this
endeavor has not reached the threshold of excellence. Neural
networks are commonly used to solve sample-recognition
problems. One of these is character recognition. The solution
of this problem is one of the easier implementations of neural
networks. This paper presents a detailed comparative
literature survey on the research accomplished for the last
few decades. The comparative literature review will help us
understand the platform on which we stand today to achieve
the highest efficiency in terms of Character Recognition
accuracy as well as computational resource and cost.
Improving the Accuracy of Object Based Supervised Image Classification using ...CSCJournals
A lot of research has been undertaken and is being carried out for developing an accurate classifier for extraction of objects with varying success rates. Most of the commonly used advanced classifiers are based on neural network or support vector machines, which uses radial basis functions, for defining the boundaries of the classes. The drawback of such classifiers is that the boundaries of the classes as taken according to radial basis function which are spherical while the same is not true for majority of the real data. The boundaries of the classes vary in shape, thus leading to poor accuracy. This paper deals with use of new basis functions, called cloud basis functions (CBFs) neural network which uses a different feature weighting, derived to emphasize features relevant to class discrimination, for improving classification accuracy. Multi layer feed forward and radial basis functions (RBFs) neural network are also implemented for accuracy comparison sake. It is found that the CBFs NN has demonstrated superior performance compared to other activation functions and it gives approximately 3% more accuracy.
This document provides an overview of Ajax including:
- What Ajax is and how it works to make web pages more interactive
- Examples of popular sites that use Ajax like Gmail and Google Maps
- How Ajax applications differ from traditional applications by exchanging small amounts of data asynchronously rather than reloading the whole page
- Popular Ajax frameworks like jQuery that make development of Ajax applications easier
- Benefits of Ajax like richer interfaces, responsiveness, and network efficiency
This document defines network and information security and discusses various threats. It defines security as protecting systems, hardware, information and data. It outlines the principles of confidentiality, integrity and availability. It describes passive attacks like traffic analysis and active attacks like masquerading, replay and denial of service. It discusses vulnerabilities like malicious software, trap doors, logic bombs, Trojan horses, viruses and worms. It provides details on each of these threats and ways to prevent infections from malicious software.
A survey found that 40% of consumers shop in physical stores at least once a week, compared to 27% online. Most consumers cited avoiding delivery fees and getting the item immediately as reasons for in-store shopping. Additionally, many consumers liked trying on or seeing the item before buying. Some advantages of in-store shopping included numerous options, the ability to communicate face-to-face, touching and feeling products, evaluating future shopping styles directly with less confusion, and saving time. However, disadvantages included stores potentially not having the desired item, items being more expensive than online, and price inequality between stores.
This document outlines different types of data including structured, unstructured, and semi-structured data that can come from various sources like enterprise systems, social media, videos, and sensors. It also lists several Apache projects and tools used to ingest, process, store, and analyze large volumes of data in distributed systems including Apache Flume, Kafka, Sqoop, NiFi, and Hadoop Distributed File System. Finally, it mentions different execution engines, programming languages, and services used to extract insights from data through batch processing, stream processing, SQL, NoSQL, machine learning, and visualization.
Technology can improve teaching and learning in several ways:
1. It provides easy access to course materials through the internet and e-books.
2. It enables extended learning opportunities like distance learning through convenient online tools.
3. It allows for globalization and connecting students worldwide through video conferencing.
However, overuse of technology can also negatively impact academics, writing skills, social skills, and health. Proper time management and physical activity are important to balance the advantages and disadvantages of technology in learning.
How ICT causing pollution in our environment Dushyant Singh
Pollution caused by ICT ( information communication technology ).
This presentation contents is Much more explanatory full of animated gif and picture you can explain it in your own style
(not like ordinary only Point readout presentation).
Explanation depends on your own creativity
This document discusses different software development life cycle models including waterfall, prototype, and spiral models. The waterfall model is a linear sequential model that has clear phases but does not allow for much iteration. The prototype model uses iterative development and customer feedback to refine requirements. The spiral model is a combination of iterative and sequential approaches that is useful for medium to high risk projects with uncertain requirements. It allows for risk evaluation and prototyping at each phase.
This document discusses the history of voting in India using ballot boxes versus electronic voting machines (EVMs), and proposes developing an online e-voting system. It outlines some common problems with the current in-person system, such as booth capturing and delays in getting poll results. The proposed e-voting system would allow secure online voting through a web browser for more convenience. It provides hardware/software requirements and technological details like using .NET framework and SQL database. Key features would include secure login, viewing candidate profiles, and casting authenticated votes.
The document discusses different types of computers, including supercomputers, mainframes, minicomputers, and microcomputers. Supercomputers are the most powerful and are used for research, weather forecasting, and space exploration. Seymour Cray designed the first supercomputer, the CDC 6600, in 1964. Mainframes are very expensive but can support hundreds or thousands of users, and are used by large corporations for processing data. Minicomputers support more than one user and are used by organizations to process large data volumes. Microcomputers have the lowest processing power but highest usage, with the first being the 1975 Altair 8800 and now including computers like PCs and smartphones.
Design and optimization of ion propulsion dronebjmsejournal
Electric propulsion technology is widely used in many kinds of vehicles in recent years, and aircrafts are no exception. Technically, UAVs are electrically propelled but tend to produce a significant amount of noise and vibrations. Ion propulsion technology for drones is a potential solution to this problem. Ion propulsion technology is proven to be feasible in the earth’s atmosphere. The study presented in this article shows the design of EHD thrusters and power supply for ion propulsion drones along with performance optimization of high-voltage power supply for endurance in earth’s atmosphere.
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
Software Engineering and Project Management - Introduction, Modeling Concepts...Prakhyath Rai
Introduction, Modeling Concepts and Class Modeling: What is Object orientation? What is OO development? OO Themes; Evidence for usefulness of OO development; OO modeling history. Modeling
as Design technique: Modeling, abstraction, The Three models. Class Modeling: Object and Class Concept, Link and associations concepts, Generalization and Inheritance, A sample class model, Navigation of class models, and UML diagrams
Building the Analysis Models: Requirement Analysis, Analysis Model Approaches, Data modeling Concepts, Object Oriented Analysis, Scenario-Based Modeling, Flow-Oriented Modeling, class Based Modeling, Creating a Behavioral Model.
artificial intelligence and data science contents.pptxGauravCar
What is artificial intelligence? Artificial intelligence is the ability of a computer or computer-controlled robot to perform tasks that are commonly associated with the intellectual processes characteristic of humans, such as the ability to reason.
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Artificial intelligence (AI) | Definitio
Discover the latest insights on Data Driven Maintenance with our comprehensive webinar presentation. Learn about traditional maintenance challenges, the right approach to utilizing data, and the benefits of adopting a Data Driven Maintenance strategy. Explore real-world examples, industry best practices, and innovative solutions like FMECA and the D3M model. This presentation, led by expert Jules Oudmans, is essential for asset owners looking to optimize their maintenance processes and leverage digital technologies for improved efficiency and performance. Download now to stay ahead in the evolving maintenance landscape.
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...shadow0702a
This document serves as a comprehensive step-by-step guide on how to effectively use PyCharm for remote debugging of the Windows Subsystem for Linux (WSL) on a local Windows machine. It meticulously outlines several critical steps in the process, starting with the crucial task of enabling permissions, followed by the installation and configuration of WSL.
The guide then proceeds to explain how to set up the SSH service within the WSL environment, an integral part of the process. Alongside this, it also provides detailed instructions on how to modify the inbound rules of the Windows firewall to facilitate the process, ensuring that there are no connectivity issues that could potentially hinder the debugging process.
The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging.
It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal.
Additionally, the document provides guidance on how to set up breakpoints for debugging, a fundamental aspect of the debugging process which allows the developer to stop the execution of their code at certain points and inspect their program at those stages.
Finally, the document concludes by providing a link to a reference blog. This blog offers additional information and guidance on configuring the remote Python interpreter in PyCharm, providing the reader with a well-rounded understanding of the process.
12. 4D ultrasound is a
medical ultrasound
technique, used in
medical filed , providing
3D images of the fetus .
Program recognize the
frequencies echoes by
use the mathematic
theory of 4D to create
the 3D image , it can be
live by keep sending
courteously.
4D Ultrasound
13. •Radiotherapy : aimed
to use cancer’s
treatment to treat or
help to discover.
The process : 4D imaging
treatment planning
treatment delivery
4D radiotherapy
14. WANT BIG IMPACT?
USE BIG IMAGE.
4Dcinema or movie is not
really 4D
it’s combination of 3-D film with
physical effects synchronized with
film in the theatre , i.e. 4D Avatar.
15. Why should we care ?
4D visualization has a wide variety
of useful applications. Mostly , they
aims to see the inner 3D objects which
is inside the 4D.