Applications of Image Processing
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Digital image processing plays an important role in many aspects of daily life and fields of science and technology. It has applications in television, photography, robotics, medicine, and industrial inspection. Some key applications include computerized photography, medical imaging, character recognition, remote sensing, and industrial product inspection. Digital image processing involves tasks like image acquisition, enhancement, understanding, recognition, and pre-processing for computer vision. The fundamental steps include image digitization, storage, transmission, compression, enhancement, restoration, extraction of information for analysis, and description or interpretation of image content.
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Energy Harvesting Techniques in Wireless Sensor Networks – A Survey
Wireless sensor networks are being used widely for applications like environmental monitoring, security, and object tracking. They suffer from energy consumption issues as sensor nodes require continuous power but are often deployed in remote locations. To address this, energy harvesting techniques capture ambient energy sources like radio waves, solar power, thermal gradients, wind, and human motion and convert it to electrical energy to power the sensor nodes. Common techniques include radio frequency, solar, thermal, and mechanically-driven harvesting. Harvesting ambient energy helps extend the lifetime of wireless sensor networks.
Micro-services architecture
Micro-services architecture is an evolutionary design ideal for evolutionary systems where you can’t fully anticipate the types of devices that may one day be accessing your application
Software Design Patterns - An Overview
The document summarizes different types of software design patterns. It discusses creational patterns, which deal with object creation mechanisms and increase flexibility. Examples include abstract factory, builder, factory method, prototype and singleton patterns. Structural patterns provide relationships between classes and objects, such as adapter, bridge, composite, and decorator. Behavioral patterns define communication between classes, for example chain of responsibility, command, interpreter, and observer. Design patterns are reusable solutions to common programming problems and increase flexibility and reuse in software design.
Optimizing the memory management of a virtual machine monitor on a NUMA syste...
NUMA systems provide non-uniform access to memory. Though they are providing many benefits by meeting the requirement of memory bandwidth and to achieve high performance a Virtual Machine Monitor is utilized which was working appropriately in small scale enterprises but on the other hand due to shifting of large scale datacenters towards the NUMA architecture, it is suffering from some memory management challenges in a virtualized environment. Hence to address the challenges the memory management of its VMM needs to be fully functional/optimized. This survey paper first demonstrates the main issues that are causing the performance degradation of the VMM on NUMA system and then the current trends and methodologies to remove or lessen these issues are explained. Memory over-commitment, Memory ballooning, swapping and performance degradation due to migration time and downtime in live virtual machine’s migration are the issues currently being addressed.
Fault Tolerance Typed Assembly Language - A graphical overview
This paper proposes a new fault tolerance technique for assembly languages that combines previous hardware-based and software-based approaches. It leverages type systems by adding type information to instructions and values to enable static checking and increase reliability. This hybrid technique uses a watchdog processor and type checking to reduce fault rates and improve performance compared to prior methods.
Comparative Analysis of Face Recognition Methodologies and Techniques
In the field of computer sciences such as
graphics and also analyzing the image and its processing,
face recognition is the most prominent problem due to the
comprehensive variation of faces and the complexity of
noises and image backgrounds. The purpose and working
of this system is that it identifies the face of a person from
the real time video and verifies the person from the images
store in the database. This paper provides a review of the
methodologies and techniques used for face detection and
recognition. Firstly a brief introduction of Facial
Recognition is given then the review of the face
recognition’s working which has been done until now, is
briefly introduced. Then the next sections covered the
approaches, methodologies, techniques and their
comparison. Holistic, Feature based and Hybrid
approaches are basically used for face recognition
methodologies. Eigen Faces, Fisher Faces and LBP
methodologies were introduced for recognition purpose.
Eigen Faces is most frequently used because of its
efficiencies. To observe the efficient techniques of facial
recognition, there are many scenarios to measure its
performance which are based on real time.
Business plan of a software house
FZ Software House is submitting a business plan to develop and sell software products. Their flagship product is an automatic face recognition system that can detect faces, match them to a database, and automatically log attendance. The management team has experience in software development. They estimate startup costs of 51.45 million rupees and a sales forecast projecting total sales of 1.125 million rupees from January to June and 1.45 million rupees from July to December, as they expand their product line and customer base. They aim to compete on quality and affordable pricing.
Dld (lab 1 & 2)
The document provides instructions for a lab experiment using a microprocessor interfacing trainer (AM-2001). It includes:
- An overview of the AM-2001 which allows interfacing with microprocessors through an ISA bus interface card, making it platform independent.
- A description of the hardware components included in the AM-2001 such as power supplies, logic level indicators, logic switches, and a binary coded decimal input.
- Instructions for Lab 1 which introduce the components and demonstrate measuring logic levels and using logic switches and BCD input.
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Chapter wise All Notes of First year Basic Civil Engineering.pptx
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Syllabus
Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
Levelling: Instrument used Object of levelling, Methods of levelling in brief, and Contour maps.
Chapter 4
Buildings: Selection of site for Buildings, Layout of Building Plan, Types of buildings, Plinth area, carpet area, floor space index, Introduction to building byelaws, concept of sun light & ventilation. Components of Buildings & their functions, Basic concept of R.C.C., Introduction to types of foundation
Chapter 5
Transportation: Introduction to Transportation Engineering; Traffic and Road Safety: Types and Characteristics of Various Modes of Transportation; Various Road Traffic Signs, Causes of Accidents and Road Safety Measures.
Chapter 6
Environmental Engineering: Environmental Pollution, Environmental Acts and Regulations, Functional Concepts of Ecology, Basics of Species, Biodiversity, Ecosystem, Hydrological Cycle; Chemical Cycles: Carbon, Nitrogen & Phosphorus; Energy Flow in Ecosystems.
Water Pollution: Water Quality standards, Introduction to Treatment & Disposal of Waste Water. Reuse and Saving of Water, Rain Water Harvesting. Solid Waste Management: Classification of Solid Waste, Collection, Transportation and Disposal of Solid. Recycling of Solid Waste: Energy Recovery, Sanitary Landfill, On-Site Sanitation. Air & Noise Pollution: Primary and Secondary air pollutants, Harmful effects of Air Pollution, Control of Air Pollution. . Noise Pollution Harmful Effects of noise pollution, control of noise pollution, Global warming & Climate Change, Ozone depletion, Greenhouse effect
Text Books:
1. Palancharmy, Basic Civil Engineering, McGraw Hill publishers.
2. Satheesh Gopi, Basic Civil Engineering, Pearson Publishers.
3. Ketki Rangwala Dalal, Essentials of Civil Engineering, Charotar Publishing House.
4. BCP, Surveying volume 1
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LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UP
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
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You will hear from Liz Willett, the Head of Nonprofits, and hear about what Walmart is doing to help nonprofits, including Walmart Business and Spark Good. Walmart Business+ is a new offer for nonprofits that offers discounts and also streamlines nonprofits order and expense tracking, saving time and money.
The webinar may also give some examples on how nonprofits can best leverage Walmart Business+.
The event will cover the following::
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Special TechSoup offer for a free 180 days membership, and up to $150 in discounts on eligible orders.
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Answers about how you can do more with Walmart!"
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Applications of Image Processing
- 1. Computer Graphics (Assignment) By: Farwa Abdul Hannan (12-CS-13) Zubaid Khalil (12-CS-22) Hassan Ali Khan (12-CS-28) (G – 4) Applications of Image Processing Visual information is the most important type of information perceived, processed and interpreted by the human brain. One third of the cortical area of the human brain is dedicated to visual information processing. Digital image processing, as a computer based technology, carries out automatic processing, manipulation and interpretation of such visual information, and it plays an increasingly important role in many aspects of our daily life, as well as in a wide variety of disciplines and fields in science and technology, with applications such as television, photography, robotics, remote sensing, medical diagnosis and industrial inspection. • Computerized photography (e.g. Photoshop) • Space image processing (e.g. Hubble space telescope images, interplanetary probe images) • Medical/Biological image processing (e.g. interpretation of X-ray images, blood/cellular microscope images) • Automatic character recognition (e.g. zip code, license plate recognition) • Finger print/face/iris recognition • Remote sensing (e.g. aerial and satellite image interpretations) • Reconnaissance • Industrial applications (e.g., product inspection/sorting) Different Types of Tasks • Image acquisition, storage, transmission: digitization/quantization, compression, encoding/decoding • Image Enhancement and Restoration: for improvement of pictorial information for human interpretation, both input and output are in the image form (e.g., the first few application examples above). • Image Understanding and Image Recognition: information extraction from images for further computer analysis (e.g., the rest of the application examples above). Input is in image form, but output is some none image representation of the image content, such as description, interpretation, classification, etc. • Pre-processing stage of computer vision of an artificial intelligent system (robots, autonomous vehicles, etc.).
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