1) The LandTrust Priority Lands Committee meeting agenda included discussions on conservation easements for the Gray and Gilliam family properties, as well as a potential preservation easement for the historic Murphy home.
2) The committee also discussed farmland protection grants from the NC Agricultural Development and Farmland Preservation Trust Fund that would be used for term easements on the Knox and Rollans properties.
3) General updates were provided on other LandTrust projects and events.
Dynamic DFS in Undirected Graph using Segment TreeSiraj Memon
The document discusses a research project on dynamic depth-first search (DFS) in undirected graphs, presenting methods to break the O(m) complexity barrier. It introduces new data structures and algorithms to improve efficiency in handling graph queries. Key findings and the overall complexity of the approach are highlighted, demonstrating significant advancements in the field.
The document discusses the eDiscovery market and opportunities for emerging eDiscovery vendors. It notes that the market is shifting from a reactive, case-driven model to a more proactive approach focused on enterprise compliance. For emerging vendors to succeed, they need scalable technology and the ability to integrate with broader content management and information governance initiatives. The document also analyzes acquisition trends that see global software firms acquiring specialized eDiscovery vendors to fill gaps and gain expertise in this growing market segment.
This document discusses heaps, which are binary trees with the additional properties that they are complete trees and each node is less than or equal to its children. Heaps support operations like adding elements, removing the minimum element, and finding the minimum element. The key operations and their implementations using both linked nodes and arrays are explained. Heaps can be used to implement priority queues and the heap sort algorithm.
This document discusses augmenting data structures by adding additional information and operations while maintaining efficiency. It describes augmenting red-black trees to support efficient retrieval of order statistics and ranks by adding a size field to nodes. Interval trees are also covered, which store intervals in a red-black tree sorted by low endpoint while maintaining the maximum endpoint in each subtree, enabling efficient search for overlapping intervals. The key to augmentation is showing the new information can be maintained through basic operations like insertion and deletion without affecting overall asymptotic runtime.
A segment tree is a data structure that allows for efficient query and update operations on array intervals in logarithmic time. It represents intervals as nodes in a tree structure, where each node corresponds to an interval. Segment trees allow querying the minimum value in a range in O(log n) time and updating values in O(log n) time. The document provides pseudocode for initializing, updating, and querying a segment tree to solve problems involving finding minimum values over ranges.
The document discusses segment trees, which allow querying which stored intervals contain a given point. It presents the basic functions of segment trees - initialization, querying, and updating. Initialization builds the tree by dividing segments into halves and storing sums at each node. Querying returns the sum in a range by checking if a segment is fully within, outside of, or partially within the range. Updating modifies values by adding to all relevant nodes. Segment trees enable efficient range minimum/maximum queries and have numerous applications.
The document presents a parallel data distribution management (DDM) algorithm called Interval Tree Matching (ITM), which enhances the identification of overlapping regions in a multi-core computing environment. ITM is based on simple interval tree data structures, allowing for efficient updates and parallel execution compared to traditional DDM approaches. Experimental evaluations demonstrate that ITM outperforms existing algorithms, particularly in scenarios with many update extents and dynamic management.
The document discusses the application of artificial intelligence in game playing, particularly focusing on the minimax algorithm and its extension, α-β pruning, for optimizing decision-making in games like Tic Tac Toe. It explains the structure of game trees, the process of generating these trees, evaluating game states, and how α-β pruning reduces the search space to enhance performance. Ultimately, it highlights the role of these techniques in determining the best moves and ensuring optimal gameplay against an opponent.
Segment trees allow storing interval data and supporting efficient range update and query operations. A segment tree is a binary tree where each node represents an interval. It is constructed by recursively splitting intervals into two halves. This allows updating and querying intervals in O(log n) time. Operations include constructing the tree by inserting values, updating a value, and querying a range by traversing relevant nodes. Segment trees have applications in computational geometry and geographic information systems by supporting fast range minimum/maximum queries.
This document discusses tries, a data structure used to store strings. It begins by outlining the advantages of tries over hash tables, including faster insertion and lookup. It then defines a trie as a tree that stores strings where all descendants of a node have a common prefix. The document describes standard tries and compressed tries, noting compressed tries save space by merging nodes with only one child. It provides examples and discusses time/space complexity. Applications mentioned include word matching, prefix matching, and use in web search engines to index words and associated URLs.
This document discusses priority queues and Huffman encoding. It provides an overview of an assignment to build a file compression program without a GUI that uses Huffman encoding. It explains why data compression is useful and what priority queues and Huffman encoding are. It also outlines some of the key components needed to implement Huffman encoding, including building a Huffman tree from character frequencies, assigning binary encodings to characters, and using bit input/output streams to compress and decompress files.
Spanning Tree Bridge Root Priority value & Extended System IDNetProtocol Xpert
- By default, all Cisco switches have a bridge priority value of 32,768 which determines which switch becomes the root bridge.
- The bridge priority value can be lowered in increments of 4,096 on a switch so that it becomes the root bridge.
- The 16-bit bridge priority value includes both the priority and 12-bit extended system ID which identifies the VLAN.
brand building and service marketing at banyan tree hotels and resortssaurabh
Banyan Tree has achieved success through well-designed external and internal marketing programs focused on luxury resort experiences. It has carefully chosen target segments and developed strong positioning and branding strategies centered around delivering high quality products and services. Banyan Tree also supports local communities and engages in environmentally friendly practices. While Banyan Tree's unique positioning has been sustainable so far, maintaining differentiation in an increasingly crowded market will require continued focus on the customer experience and sensory branding. Banyan Tree's brand portfolio, including Angsana and Colours of Angsana, fit together under a common theme of travel romance and world discovery across price points, but future management by individual brand could improve consistency and cross-selling.
Introduction to Natural Language Processingrohitnayak
The document provides an overview of Natural Language Processing (NLP), covering topics such as semantic web concepts, information extraction, and various NLP applications like question-answering and machine translation. It describes the challenges of creating a semantic web that enables machines to communicate and process data effectively. The significance of GATE as a powerful platform for NLP tasks, along with its architecture and components, is also highlighted.
23. Advanced Datatypes and New Application in DBMSkoolkampus
This document discusses advanced data types and new applications in databases, including temporal data, spatial and geographic data, and multimedia data. It covers topics such as representing time in databases, temporal query languages, representing geometric information and spatial queries, indexing spatial data using structures like k-d trees and quadtrees, and applications of geographic data like in vehicle navigation systems.
This document discusses different data structures and their uses. It describes arrays, linked lists, trees, stacks, queues, and hash tables. For each scenario presented, it asks which data structure would be best. Scenario 1 involves eliminating every third person in a row, scenario 2 displaying recent missed calls, scenario 3 maintaining a student database with various operations, and scenario 4 prioritizing people in an office. The document provides examples and explanations of different data structures and their pros and cons for accessing, inserting, and deleting data. It emphasizes choosing the right data structure based on the needed operations.
This document is the user guide for the Spinor Quantum Simulator, developed by Dr. Russell John Childs, which aims to streamline the coding process in quantum mechanics. It provides comprehensive sections on quantum states, operations, gates, and practical coding examples, emphasizing the utility of Dirac notation and spinors in quantum computations. The guide covers various concepts, including geometric algebra, entanglement, and instructional elements to facilitate teaching quantum mechanics in high schools.
O(n) in time, O(1) in space substr-search algorithm, using O(1)-updatable hash derived using Group Theory. Hash function is greyed out, to prevent IP-theft. Algorithm is far simpler than trie or Knuth-Morris-Pratt. Very surprised it has not been discovered by others.
O(n) in time, O(1) in space substr-search algorithm, using O(1)-updatable hash derived using Group Theory. Hash function is greyed out, to prevent IP-theft. Algorithm is far simpler than trie or Knuth-Morris-Pratt. Very surprised it has not been discovered by others.
O(n) in time, O(1) in space substr-search algorithm, using O(1)-updatable hash derived using Group Theory. Hash function is greyed out, to prevent IP-theft. Algorithm is far simpler than trie or Knuth-Morris-Pratt. Very surprised it has not been discovered by others.
This document presents a C++ implementation of a substring searching function that finds occurrences of a given substring within a target string using an efficient O(n+m) time complexity algorithm. The function utilizes cumulative sums and performs character-by-character verification in case of matching sums to ensure accuracy, especially in the presence of anagrams. The code includes examples that demonstrate the functionality and bounds checks for various cases.
This document describes an O(n) algorithm for generating the k-th lexicographic permutation of an n-element array, using a factoradic representation of k. It highlights the efficiency of the algorithm compared to standard alternatives, emphasizing its complexity, limitations, and coding methodology. Additionally, the algorithm is constrained to arrays of size up to 128 due to the use of a hash function, and it is noted that the code is undocumented.
The document describes an O(n) algorithm for generating the kth lexicographically ordered permutation of an n-element array using factoradic representation. It improves upon traditional O(n^2) decoding methods by employing a hash function, allowing for efficient permutation generation. However, the algorithm is limited to arrays of size 128 due to the hash function's constraints, with potential for extension at reduced efficiency.
Feature extraction using adiabatic theoremRussell Childs
Quantum mechanics allows for the extraction of features in data using the Adiabatic Theorem. The Adiabatic Theorem states that a quantum system remains in its instantaneous eigenstate if a given perturbation is acting on it slowly enough and if there is a gap between the eigenvalue and the rest of the Hamiltonian's spectrum. This technique can be used to process and analyze large datasets in order to extract meaningful patterns and features.
Feature extraction using adiabatic theoremRussell Childs
Quantum mechanics allows for the extraction of features in data using the Adiabatic Theorem. The Adiabatic Theorem states that a quantum system remains in its instantaneous eigenstate if a given perturbation is acting on it slowly enough and if there is a gap between the eigenvalue and the rest of the Hamiltonian's spectrum. This process can be used to extract important features from large, complex datasets in a way that classical computing cannot achieve.
Wavelets decompose signals into different frequency bands using scaling functions and wavelet basis functions. The discrete wavelet transform (DWT) uses these functions to represent a discrete signal as a sum of wavelet coefficients at different scales. The fast wavelet transform provides an efficient algorithm to compute the DWT by successively applying filters and downsampling. Wavelet packets generalize the DWT by allowing decomposition of both low and high frequency bands at each level. Lifting transforms provide an alternative method to construct wavelets by splitting, predicting, and updating the signal. Two-dimensional wavelets extend the concepts to images by applying separable 1D wavelets along rows and columns.
The document provides an overview of special relativity, explaining key concepts such as the invariant interval, Lorentz transformations, and the addition of velocities. It addresses paradoxes like the twin paradox and the pole-in-barn scenario using simple mathematical principles. Additionally, it touches on electromagnetism topics including four-potential and Maxwell's equations.
The document discusses the application of artificial intelligence in game playing, particularly focusing on the minimax algorithm and its extension, α-β pruning, for optimizing decision-making in games like Tic Tac Toe. It explains the structure of game trees, the process of generating these trees, evaluating game states, and how α-β pruning reduces the search space to enhance performance. Ultimately, it highlights the role of these techniques in determining the best moves and ensuring optimal gameplay against an opponent.
Segment trees allow storing interval data and supporting efficient range update and query operations. A segment tree is a binary tree where each node represents an interval. It is constructed by recursively splitting intervals into two halves. This allows updating and querying intervals in O(log n) time. Operations include constructing the tree by inserting values, updating a value, and querying a range by traversing relevant nodes. Segment trees have applications in computational geometry and geographic information systems by supporting fast range minimum/maximum queries.
This document discusses tries, a data structure used to store strings. It begins by outlining the advantages of tries over hash tables, including faster insertion and lookup. It then defines a trie as a tree that stores strings where all descendants of a node have a common prefix. The document describes standard tries and compressed tries, noting compressed tries save space by merging nodes with only one child. It provides examples and discusses time/space complexity. Applications mentioned include word matching, prefix matching, and use in web search engines to index words and associated URLs.
This document discusses priority queues and Huffman encoding. It provides an overview of an assignment to build a file compression program without a GUI that uses Huffman encoding. It explains why data compression is useful and what priority queues and Huffman encoding are. It also outlines some of the key components needed to implement Huffman encoding, including building a Huffman tree from character frequencies, assigning binary encodings to characters, and using bit input/output streams to compress and decompress files.
Spanning Tree Bridge Root Priority value & Extended System IDNetProtocol Xpert
- By default, all Cisco switches have a bridge priority value of 32,768 which determines which switch becomes the root bridge.
- The bridge priority value can be lowered in increments of 4,096 on a switch so that it becomes the root bridge.
- The 16-bit bridge priority value includes both the priority and 12-bit extended system ID which identifies the VLAN.
brand building and service marketing at banyan tree hotels and resortssaurabh
Banyan Tree has achieved success through well-designed external and internal marketing programs focused on luxury resort experiences. It has carefully chosen target segments and developed strong positioning and branding strategies centered around delivering high quality products and services. Banyan Tree also supports local communities and engages in environmentally friendly practices. While Banyan Tree's unique positioning has been sustainable so far, maintaining differentiation in an increasingly crowded market will require continued focus on the customer experience and sensory branding. Banyan Tree's brand portfolio, including Angsana and Colours of Angsana, fit together under a common theme of travel romance and world discovery across price points, but future management by individual brand could improve consistency and cross-selling.
Introduction to Natural Language Processingrohitnayak
The document provides an overview of Natural Language Processing (NLP), covering topics such as semantic web concepts, information extraction, and various NLP applications like question-answering and machine translation. It describes the challenges of creating a semantic web that enables machines to communicate and process data effectively. The significance of GATE as a powerful platform for NLP tasks, along with its architecture and components, is also highlighted.
23. Advanced Datatypes and New Application in DBMSkoolkampus
This document discusses advanced data types and new applications in databases, including temporal data, spatial and geographic data, and multimedia data. It covers topics such as representing time in databases, temporal query languages, representing geometric information and spatial queries, indexing spatial data using structures like k-d trees and quadtrees, and applications of geographic data like in vehicle navigation systems.
This document discusses different data structures and their uses. It describes arrays, linked lists, trees, stacks, queues, and hash tables. For each scenario presented, it asks which data structure would be best. Scenario 1 involves eliminating every third person in a row, scenario 2 displaying recent missed calls, scenario 3 maintaining a student database with various operations, and scenario 4 prioritizing people in an office. The document provides examples and explanations of different data structures and their pros and cons for accessing, inserting, and deleting data. It emphasizes choosing the right data structure based on the needed operations.
This document is the user guide for the Spinor Quantum Simulator, developed by Dr. Russell John Childs, which aims to streamline the coding process in quantum mechanics. It provides comprehensive sections on quantum states, operations, gates, and practical coding examples, emphasizing the utility of Dirac notation and spinors in quantum computations. The guide covers various concepts, including geometric algebra, entanglement, and instructional elements to facilitate teaching quantum mechanics in high schools.
O(n) in time, O(1) in space substr-search algorithm, using O(1)-updatable hash derived using Group Theory. Hash function is greyed out, to prevent IP-theft. Algorithm is far simpler than trie or Knuth-Morris-Pratt. Very surprised it has not been discovered by others.
O(n) in time, O(1) in space substr-search algorithm, using O(1)-updatable hash derived using Group Theory. Hash function is greyed out, to prevent IP-theft. Algorithm is far simpler than trie or Knuth-Morris-Pratt. Very surprised it has not been discovered by others.
O(n) in time, O(1) in space substr-search algorithm, using O(1)-updatable hash derived using Group Theory. Hash function is greyed out, to prevent IP-theft. Algorithm is far simpler than trie or Knuth-Morris-Pratt. Very surprised it has not been discovered by others.
This document presents a C++ implementation of a substring searching function that finds occurrences of a given substring within a target string using an efficient O(n+m) time complexity algorithm. The function utilizes cumulative sums and performs character-by-character verification in case of matching sums to ensure accuracy, especially in the presence of anagrams. The code includes examples that demonstrate the functionality and bounds checks for various cases.
This document describes an O(n) algorithm for generating the k-th lexicographic permutation of an n-element array, using a factoradic representation of k. It highlights the efficiency of the algorithm compared to standard alternatives, emphasizing its complexity, limitations, and coding methodology. Additionally, the algorithm is constrained to arrays of size up to 128 due to the use of a hash function, and it is noted that the code is undocumented.
The document describes an O(n) algorithm for generating the kth lexicographically ordered permutation of an n-element array using factoradic representation. It improves upon traditional O(n^2) decoding methods by employing a hash function, allowing for efficient permutation generation. However, the algorithm is limited to arrays of size 128 due to the hash function's constraints, with potential for extension at reduced efficiency.
Feature extraction using adiabatic theoremRussell Childs
Quantum mechanics allows for the extraction of features in data using the Adiabatic Theorem. The Adiabatic Theorem states that a quantum system remains in its instantaneous eigenstate if a given perturbation is acting on it slowly enough and if there is a gap between the eigenvalue and the rest of the Hamiltonian's spectrum. This technique can be used to process and analyze large datasets in order to extract meaningful patterns and features.
Feature extraction using adiabatic theoremRussell Childs
Quantum mechanics allows for the extraction of features in data using the Adiabatic Theorem. The Adiabatic Theorem states that a quantum system remains in its instantaneous eigenstate if a given perturbation is acting on it slowly enough and if there is a gap between the eigenvalue and the rest of the Hamiltonian's spectrum. This process can be used to extract important features from large, complex datasets in a way that classical computing cannot achieve.
Wavelets decompose signals into different frequency bands using scaling functions and wavelet basis functions. The discrete wavelet transform (DWT) uses these functions to represent a discrete signal as a sum of wavelet coefficients at different scales. The fast wavelet transform provides an efficient algorithm to compute the DWT by successively applying filters and downsampling. Wavelet packets generalize the DWT by allowing decomposition of both low and high frequency bands at each level. Lifting transforms provide an alternative method to construct wavelets by splitting, predicting, and updating the signal. Two-dimensional wavelets extend the concepts to images by applying separable 1D wavelets along rows and columns.
The document provides an overview of special relativity, explaining key concepts such as the invariant interval, Lorentz transformations, and the addition of velocities. It addresses paradoxes like the twin paradox and the pole-in-barn scenario using simple mathematical principles. Additionally, it touches on electromagnetism topics including four-potential and Maxwell's equations.
The document describes a C++ class named 'call' that enables the conversion of recursive routines into iterative ones using a stack-based approach, aimed at reducing potential errors associated with recursion. Utilizing this class, the document provides implementations for generating combinations and permutations iteratively, comparing performance with traditional recursion methods. Additionally, it includes benchmark results demonstrating the execution time of both the 'call' method and the standard library's 'std::next_permutation'.
Dirac demo (quantum mechanics with C++). Please note: There is a problem with...Russell Childs
The document demonstrates a C++ framework for quantum mechanics using matrix mechanics with various quantum states, operators, and gates. It includes examples of operations with qubits, inner and outer products, and quantum circuits, specifically focusing on complex exponential forms and tensor products. Additionally, the document outlines a measurement process performed on quantum states by different entities, Alice and Bob.
This document describes a C++ class called SharedMemoryHashTable that implements a hash table using shared memory rather than heap memory. Two blocks of shared memory are used to store the hash table buckets and linked list nodes for collisions. The class allows processes to insert, find, and delete items in the shared hash table. It was tested on Linux using g++ and allows storing arbitrary data types that provide a default constructor and string conversion operator.
Russell Childs has over 10 years of experience in technical software engineering, primarily in modeling complex systems. He has a PhD in Particle Physics from Birmingham University and a BSc in Physics from Liverpool University. His skills include C++, algorithms, data structures, physics simulation, and HPC modeling and simulation. He is currently seeking a role utilizing his experience in analysis, OO architecture, design, and safety-critical C++.
UML design for C++11 written to solve a problem at interview, please also see "Interview C++11 code". The UML design can be zoomed to render it more legible.
The document provides specifications for a regular expression problem involving matching words from a dictionary to tile patterns containing wildcards. It specifies that the system should:
1) Find words from the dictionary that match patterns formed by 7 tiles, where blank tiles act as wildcards.
2) Perform the matching in O(n) time complexity to allow processing hundreds of tile sets efficiently.
3) Include test code that verifies the solution by exhaustively generating all permutations of tile patterns and matching them to words, for comparison with the algorithm's results.
Russell John Childs has over 20 years of experience in technical software engineering, modeling complex systems, and safety-critical C++ development. He has a PhD in Particle Physics from Birmingham University and skills in C++, algorithms, parallel programming, hardware modeling, testing, and more. His resume details roles at Microsoft, Sun Microsystems, Advantest, and more where he developed load balancing algorithms, hardware behavior models, testing frameworks, and more. He is currently seeking a role utilizing his experience in analysis, architecture, design, C++, and physics/mathematics background.
Decoding Kotlin - Your Guide to Solving the Mysterious in Kotlin - Devoxx PL ...João Esperancinha
Kotlin can be very handy and easy to use. Kotlin offers the possibility to develop code that is easy to understand, safe, immutable, and thus predictable and follows standards that avoid side effects. I realized that very quickly after I started my Kotlin journey that already amounts to more than 5 years.
This is the third version of this presentation focused on more detail explaining inline, crossinline, tailrec and as a bonus a quick run through unnamed classes.
A Cluster-Based Trusted Secure Multipath Routing Protocol for Mobile Ad Hoc N...IJCNCJournal
Mobile Ad Hoc Network (MANET) is a self-organizing and flexible system. MANET systems manage sensitive data from many distinct applications in various domains. Its dynamic nature increases its vulnerability to numerous types of security threats. Many of the present approaches using indirect approaches provide false approximations of trust degrees. It is significantly required a good routing system that meets Quality of Service (QoS) standards and enhances network performance. In this paper purposed cluster-based trustworthy safe multipath routing (CTSMP-Routing) for mobile ad hoc networks (MANETs). Load balancing challenge is addressed by using a modified proportional topology optimization (MPTO) approach using geographical data related to network nodes. The Enhanced Seeker Search Optimization (ESSO) approach is used to compute trust degrees after the clustering phase considering numerous network constraints including node mobility, received signal strength, energy consumption, and cooperation rate. Assumed to be the service node, the node showing the highest degree of trust manages inter-cluster routing. We have developed a hybrid soft computing approach termed the multi-layer deep recurrent neural network (ML-DRNN) to enhance the optimal path-finding process. This method selects, among many routes between source and destination nodes, the best one quickly. The outcomes of this paper demonstrate that CTSMP-Routing provides effective protection against several attack paths within the MANET environment and displays better performance in regard to quality of service (QoS) requirements.
Deep Learning for Natural Language Processing_FDP on 16 June 2025 MITS.pptxresming1
This gives an introduction to how NLP has evolved from the time of World War II till this date through the advances in approaches, architectures and word representations. From rule based approaches, it advanced to statistical approaches. from traditional machine learning algorithms it advanced to deep neural network architectures. Deep neural architectures include recurrent neural networks, long short term memory, gated recurrent units, seq2seq models, encoder decoder models, transformer architecture, upto large language models and vision language models which are multimodal in nature.
Introduction to Natural Language Processing - Stages in NLP Pipeline, Challen...resming1
Lecture delivered in 2021. This gives an introduction to Natural Language Processing. It describes the use cases of NLP in daily life. It discusses the stages in NLP Pipeline. It highlights the challenges involved covering the different levels of ambiguity that could arise. It also gives a brief note on the present scenario with the latest language models, tools and frameworks/libraries for NLP.
This covers traditional machine learning algorithms for classification. It includes Support vector machines, decision trees, Naive Bayes classifier , neural networks, etc.
It also discusses about model evaluation and selection. It discusses ID3 and C4.5 algorithms. It also describes k-nearest neighbor classifer.
Microwatt is a lightweight, open-source core based on the OpenPOWER ISA.
It’s designed for FPGAs and easy experimentation in chip design.
Ideal for education, prototyping, and custom silicon development.
Fully open, it empowers developers to learn, modify, and innovate.
ElysiumPro Company Profile 2025-2026.pdfinfo751436
Description
ElysiumPro | IEEE Final Year Projects | Best Internship Training | Inplant Training in Madurai
Best Final Year project training center
Address:
First Floor, A Block, 'Elysium Campus, 229, Church Rd, Vaigai Colony, Madurai, Tamil Nadu 625020
Plus Code:
W4CX+56 Madurai, Tamil Nadu
+91 9944793398
[email protected]
Elysium Group of Companies established ElysiumPro in 2001. Since its inception, it has been the most sought-after destination for final year project development and research papers among the students. Our commitment to providing quality project training & documentation to students has always been exceptional. We deliver the final year engineering projects and technical documents that provide extra edge and industry exposure to land prestigious jobs and reputed institutions for higher studies. Students from all over the country avail of our services for their final year projects. On average, we develop 5000+ projects and research papers per year on varied advanced domains. Python, JAVA, PHP, Android, Matlab, LabView, VLSI, SIMULINK, Power electronics, Power System, Antenna, Machine Learning, Deep Learning, Data Science, Artificial Intelligence, data Mining, Big Data, Cloud Computing, IoT,
Hours of Operation: -
Sunday 10am-1pm
Monday 7.30am-8pm
Tuesday 7.30am-8pm
Wednesday 7.30am-8pm
Thursday 7.30am-8pm
Friday 7.30am-8pm
Saturday 7.30am-8pm
Web Site:
https://elysiumpro.in/
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Youtube Geotagged Video:
https://youtu.be/QULY6XfuMyo
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Slideshow Images (Google Photos):
https://photos.app.goo.gl/hVwQJtkeptA1JZKd9
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GBP Listing:
https://goo.gl/maps/6d6hko6TsDYyeDrz9
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Serving Areas:
https://www.google.com/maps/d/edit?mid=1-fsZogBiEAcjGP_aDyI0UKKIcwVUWfo&usp=sharing
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Google Site:
https://elysiumpro-project-center.business.site
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Google Sheet: https://docs.google.com/spreadsheets/d/1uXA07zxrUx2FCnBZWH80PpBZQrrX-2q1UBBe_0k3Yeo
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Google Document: https://docs.google.com/document/d/1BU4ZHW_41XJm2lvTq9pWYUpZILAEmF9dWEw7-DBbWoE
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Google Slides: https://docs.google.com/presentation/d/1uF8q6ueJWcAnhKTQsZxLE0Bo9PwgRNwCeuGV_ZgbSyU
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Stay Safe Women Security Android App Project Report.pdfKamal Acharya
Women’s security is a critical issue in today’s world and it’s very much needed for every individual
to be acting over such an issue. This document describes a GPS based “Women Security System''
that provides the combination of GPS devices as well as provide alerts and messages with an
emergency button trigger whenever somebody is in trouble They might not have so much time, all
that they have to do is generate a distress emergency signal by shaking up their phone. Our system
provides a realizable, cost effective solution to problem detection. Nowdays due to recently
happened cases such as rape by drivers or colleagues, burglary etc., women security, especially
women security has become the foremost priority of the world. System uses the Global Positioning
System (GPS) technology to find out the location of women. The information of women's position
provided by the device can be viewed on Google maps using Internet or specialized software. The
companies are looking for-ward to the security problem and require a system that will efficiently
evaluate the problem of women security working in night shifts, traveling alone. We focus on the
proposed model that can be used to deal with the security issue of women using GPS based tracking
systems.
Structured Programming with C++ :: Kjell BackmanShabista Imam
Step into the world of high-performance programming with the Complete Guidance Book of C++ Programming—a definitive resource for mastering one of the most powerful and versatile languages in computer science.
Whether you're a beginner looking to learn the fundamentals or an intermediate developer aiming to sharpen your skills, this book walks you through C++ from the ground up. You'll start with basics like variables, control structures, and functions, then progress to object-oriented programming (OOP), memory management, file handling, templates, and the Standard Template Library (STL).