The document proposes an automatic system to generate match reports for football games from video footage. The system first splits the raw video file into halves and then uses machine learning algorithms to extract highlight clips showing important moments. It removes non-eventful portions of the game. It then converts the audio commentary of the full game to text using speech recognition, producing a written summary of the key events. The generated report could help coaching staff analyze opponents' strengths and weaknesses.
Video summarization is a useful technique in present world to view all the important aspects of a lengthy video. Video summarization extracts important representative shots from the video and it conveys all the semantics of the entire video in a short span of time. In sports, it plays a very important role to generate highlight of the game video spanning over many hours. Hence we propose an algorithm for automatic summarization of lengthy hockey game videos. In this method, different efficient algorithms are devised to find shot detection, penalty corner and penalty stroke detection, Umpire detection and foul detection. The method also detects all the replay shots along with logo shots. The method finally combines all the important events detected to form a summarized video. It also allows the user to create customized video summary containing user preferred events. The method is tested with many international Hockey match videos and the average efficiency is found to be 0.88.
This document describes a proposed decision review system (DRS) that aims to assist umpires in making decisions in sports like cricket. The system would use computer vision and image processing techniques on video frames from a smartphone camera to determine outcomes like run-outs or stump-outs. It would have a graphical user interface built with Tkinter. Tools like OpenCV, Python Imaging Library, and Imutils would be used to implement frame subtraction and analyze the video frames. The system aims to reduce incorrect decisions from human error or judgment calls by allowing decisions to be reviewed frame-by-frame in slow motion.
This document presents a proposal for an automated system to replace the role of the third umpire in cricket matches. The system would use image and video processing techniques to analyze footage from matches and make decisions about deliveries, such as whether they constitute a no ball, without human intervention. Currently, controversial decisions are reviewed by a third umpire, but this system aims to objectively analyze high-speed footage and edge cases that the human eye cannot distinguish. The system is designed to extract frames from videos of deliveries, annotate images, generate training data from the annotated images, train a machine learning model using this data, and then apply the trained model to automatically analyze new footage and make decisions in real time. The researchers conclude
This document describes a system to predict cricket scores and match winners in the Indian Premier League (IPL) using machine learning algorithms. The system has two parts: 1) predicting live scores using lasso regression based on parameters like overs bowled, runs scored etc, and 2) predicting the winning team using a random forest classifier based on parameters like toss winner and venue. The authors collected ball-by-ball data from Kaggle, performed data preprocessing, and divided the data into training and test sets. They developed a graphical user interface using Flask to allow users to input match details and get predictions. The system aims to improve fan engagement with the IPL by providing data-driven score and winner predictions.
ANALYSIS OF FOOTBALL PLAYERS’ PERFORMANCE USING PYTHON AND DARTFISHIRJET Journal
This document describes a study analyzing the performance of Indian football players using Python and Dartfish video analysis software. The study collected player performance data through web scraping in Python and analyzed game footage from recent India matches against Bahrain and Belarus using Dartfish's video tagging features. The analysis identified weaknesses in the team's possession, passing, and shooting. Event data and statistics were shared on Dartfish TV to provide coaches feedback to improve player and team performance in those areas. The authors conclude the analysis can help increase India's FIFA ranking by addressing weaknesses and better preparing players for qualification.
The document proposes a method to summarize sports match videos using object detection, optical character recognition (OCR), and speech analysis. Video frames are analyzed using a YOLO model to detect important objects like cards in football or scoreboards in cricket. OCR is used to read text on scoreboards and detect changes. Speech analysis examines crowd noise to find exciting moments. Timestamps of important clips identified through these methods are combined and extracted from the original video to create a summarized highlights video. The approach is intended to work for both cricket and football matches.
IRJET- Use of Technology in Tennis, Football and CricketIRJET Journal
The document discusses the use of various technologies in tennis, football, and cricket to assist referees/umpires and improve the viewing experience. In tennis, Hawk-Eye uses cameras to track the ball and make accurate line calls. In football, goal-line technology like Hawk-Eye and GoalRef use cameras to determine if the ball fully crosses the goal line. Video Assistant Referee (VAR) and foam line technology are also used. In cricket, technologies like the third umpire, Decision Review System (DRS), Hawk-Eye, Hot Spot, and Snick-o-Meter provide additional data to evaluate umpiring decisions. The introduction of technology aims to ensure fairness and accuracy in sports
Machine Learning Based Selection of Optimal Sports team based on the Players ...IRJET Journal
This document presents a machine learning model to select an optimal starting 11 for the Indian cricket team based on players' past performance data. The model categorizes players' performances for batting, bowling, and all-rounder roles. It then uses a random forest classifier to predict players' future performances with 76% accuracy for batters, 67-69% for bowlers, and 95% for all-rounders. The model incorporates additional features like weather and number of matches played. It aims to select the best combination of players to compete under specific circumstances. The implementation uses a Flask API to train models in Python and predict selections for different player roles.
Video summarization is a useful technique in present world to view all the important aspects of a lengthy video. Video summarization extracts important representative shots from the video and it conveys all the semantics of the entire video in a short span of time. In sports, it plays a very important role to generate highlight of the game video spanning over many hours. Hence we propose an algorithm for automatic summarization of lengthy hockey game videos. In this method, different efficient algorithms are devised to find shot detection, penalty corner and penalty stroke detection, Umpire detection and foul detection. The method also detects all the replay shots along with logo shots. The method finally combines all the important events detected to form a summarized video. It also allows the user to create customized video summary containing user preferred events. The method is tested with many international Hockey match videos and the average efficiency is found to be 0.88.
This document describes a proposed decision review system (DRS) that aims to assist umpires in making decisions in sports like cricket. The system would use computer vision and image processing techniques on video frames from a smartphone camera to determine outcomes like run-outs or stump-outs. It would have a graphical user interface built with Tkinter. Tools like OpenCV, Python Imaging Library, and Imutils would be used to implement frame subtraction and analyze the video frames. The system aims to reduce incorrect decisions from human error or judgment calls by allowing decisions to be reviewed frame-by-frame in slow motion.
This document presents a proposal for an automated system to replace the role of the third umpire in cricket matches. The system would use image and video processing techniques to analyze footage from matches and make decisions about deliveries, such as whether they constitute a no ball, without human intervention. Currently, controversial decisions are reviewed by a third umpire, but this system aims to objectively analyze high-speed footage and edge cases that the human eye cannot distinguish. The system is designed to extract frames from videos of deliveries, annotate images, generate training data from the annotated images, train a machine learning model using this data, and then apply the trained model to automatically analyze new footage and make decisions in real time. The researchers conclude
This document describes a system to predict cricket scores and match winners in the Indian Premier League (IPL) using machine learning algorithms. The system has two parts: 1) predicting live scores using lasso regression based on parameters like overs bowled, runs scored etc, and 2) predicting the winning team using a random forest classifier based on parameters like toss winner and venue. The authors collected ball-by-ball data from Kaggle, performed data preprocessing, and divided the data into training and test sets. They developed a graphical user interface using Flask to allow users to input match details and get predictions. The system aims to improve fan engagement with the IPL by providing data-driven score and winner predictions.
ANALYSIS OF FOOTBALL PLAYERS’ PERFORMANCE USING PYTHON AND DARTFISHIRJET Journal
This document describes a study analyzing the performance of Indian football players using Python and Dartfish video analysis software. The study collected player performance data through web scraping in Python and analyzed game footage from recent India matches against Bahrain and Belarus using Dartfish's video tagging features. The analysis identified weaknesses in the team's possession, passing, and shooting. Event data and statistics were shared on Dartfish TV to provide coaches feedback to improve player and team performance in those areas. The authors conclude the analysis can help increase India's FIFA ranking by addressing weaknesses and better preparing players for qualification.
The document proposes a method to summarize sports match videos using object detection, optical character recognition (OCR), and speech analysis. Video frames are analyzed using a YOLO model to detect important objects like cards in football or scoreboards in cricket. OCR is used to read text on scoreboards and detect changes. Speech analysis examines crowd noise to find exciting moments. Timestamps of important clips identified through these methods are combined and extracted from the original video to create a summarized highlights video. The approach is intended to work for both cricket and football matches.
IRJET- Use of Technology in Tennis, Football and CricketIRJET Journal
The document discusses the use of various technologies in tennis, football, and cricket to assist referees/umpires and improve the viewing experience. In tennis, Hawk-Eye uses cameras to track the ball and make accurate line calls. In football, goal-line technology like Hawk-Eye and GoalRef use cameras to determine if the ball fully crosses the goal line. Video Assistant Referee (VAR) and foam line technology are also used. In cricket, technologies like the third umpire, Decision Review System (DRS), Hawk-Eye, Hot Spot, and Snick-o-Meter provide additional data to evaluate umpiring decisions. The introduction of technology aims to ensure fairness and accuracy in sports
Machine Learning Based Selection of Optimal Sports team based on the Players ...IRJET Journal
This document presents a machine learning model to select an optimal starting 11 for the Indian cricket team based on players' past performance data. The model categorizes players' performances for batting, bowling, and all-rounder roles. It then uses a random forest classifier to predict players' future performances with 76% accuracy for batters, 67-69% for bowlers, and 95% for all-rounders. The model incorporates additional features like weather and number of matches played. It aims to select the best combination of players to compete under specific circumstances. The implementation uses a Flask API to train models in Python and predict selections for different player roles.
This document describes a cricket scorebook software. It includes modules for tracking the match in progress ball-by-ball, providing match summaries, and displaying stats for current batsmen, bowlers, extras, and all batsmen. The software is designed to automatically update stats and calculate values like run rate and strike rate. It allows adjusting the overs if weather interrupts a match and starting a new match.
This document discusses using machine learning to analyze and predict results from matches in the Indian Premier League (IPL). Data from 2008-2020 is scraped and preprocessed. Models like random forest regression and logistic regression are used to predict first innings scores and the probability of the second team winning. Visualizations show team and player performances in different match situations. The models are deployed in a web app. The analysis provides insights to help teams and players improve strategies. Future work could incorporate more detailed match and player stats.
This document presents a project on developing a "Cricket Match Score Website" to provide live score updates and commentary for cricket matches. The project aims to allow users to access live scores and reviews from anywhere during a match. It also aims to store team and player information as well as allow users to post comments. The document discusses the justification, objectives, data flow, feasibility and future scope of the project. It also lists the software and hardware requirements.
Presentation on Sem-Automated Offside Technology.pptxyetip31604
Semi-automated offside technology uses advanced sensors and cameras to track players and the ball, processes the data using artificial intelligence, and provides offside alerts and 3D animations to match officials to help make faster and more accurate offside decisions. It was first implemented in 2021 and has since been used in major competitions like the FIFA Club World Cup and UEFA Champions League. While it can improve accuracy and fairness, there are still challenges to address regarding technology limitations and delays.
AI Golf: Golf Swing Analysis Tool for Self-TrainingIRJET Journal
This document describes a neural network-based tool for golf swing analysis called AI Golf that was developed to help users improve their swing through self-training. The tool compares a user's swing motion to that of an expert and identifies key differences using unsupervised learning. It analyzes video and 3D pose data of swings to synchronize motions and detect variations in the latent space. The tool was found to accurately identify subtle discrepancies between user and expert swings. It has the potential to provide personalized feedback to help golfers enhance various aspects of their swing. Future work may involve integrating additional sensors and technologies to provide more detailed coaching and analysis capabilities.
This document contains the planning and implementation details for a cricket scorecard application. It includes sections on defining the problem, planning and designing the solution, implementing the solution, testing and maintaining the solution, and discussing social and ethical issues. The planning and design section includes Gantt charts, system documentation, design tools like IPO charts and data flow diagrams. The implementation section includes algorithms, pseudocode, and Visual Basic source code to create games, players, login functionality, and load/save to files. It also discusses testing plans and maintenance approaches.
A comparative study of hawk eye and goal lineGaurav Handa
Hawk-Eye and goal line technology were developed to make objective decisions in sports. Hawk-Eye uses cameras to track a ball's trajectory in cricket and tennis. Goal line technology uses magnetic fields to detect when a soccer ball fully crosses the goal line. Both aim to reduce errors in close calls but have limitations like visibility of the ball. Further improvements could help these technologies positively impact sports fairness.
Appendix A Peer Review Feedback Form 1Reviewer’s Name _Date _.docxlisandrai1k
Appendix A: Peer Review Feedback Form 1
Reviewer’s Name: _
Date: __
Writer’s Assigned #: _
Course:____
Section:__
Assignment
3:
PersuasivePaper
Part
1:A
Problem
Exists
Peer
reviews
should
provide
feedback
toapeeronthe
criteria
expectedinthe
paper.
Followthese
instructions:
1)
Receive
aclassmate’spaper
from
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online).
2)
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3)
Comment
on
allcriteria,notingstrengths
and
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or
areasforimprovement
on
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4)
Provide
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Note
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papertotheprofessorduringthe
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and
paper
totheprofessorviatheAssignmentTab
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Criteria
+ Strengths
Comments < Areas for Improvement
1.
Provide
an
appropriate
title
and
an
interesting
opening
paragraph
to
appeal
to
your
stated
audience
(appeal
with
logic,
ethics,
or
emotion).
2.
Include
a
defensible,
relevant
thesis
statement
inthe
first
paragraph.
(With
revised
thesis
statement.)
3. Describe
the
history
and
status
of
the
issue
and
provide
an
overview
of the
problem(s)
that
need
to
be
addressed.
This
should
beoneor
two
(1-2)
paragraphs.
4.
Explain
the
first
problem
(economic,
social,
political,
environmental,
complexity,
inequity,
ethical/moral,
etc.)and
provide
support
for
your
claims.
This should
be
one
or
two
(1-
2) paragraphs.
5.
Explain
the
second
problem
(economic,
social,
political,
environmental,
complexity,
inequity,
ethical/moral,
etc.)
and
provide
support
for
your
claims.
This should
beone or
two
(1-2)
paragraphs.
6.
Explain
the
third
problem (economic,
social,
political,
environmental,
complexity,
inequity,
ethical/moral,
etc.)and
provide
support
for
your
claims.
This should
be
one
or
two
(1-2)
paragraphs.
7. Use effective transitional words, phrases, and sentences throughout the paper.
8.
Provide
a
concluding
paragraph
that
summarizes
the
stated
problems
and
promises
a
solution.
9. Develop a coherently structured paper with an introduction, body, and conclusion
10. Support
claims
with
at
least
three
(3)
quality,
relevant
references.
Use
credible,
academic
sources available
through
Strayer
University’s
Resource
Center.
11. Other
The Case Against Instant Replay
Muyiwa Fagbami
Professor Virginia Rodriguez
ENG 215 – Research and Writing
11/06/2016
The Case Against Instant Replay
Professional sports are a cornerstone of several global cultures. In the USA, the NFL, NBA, MLB, and to a lesser extent, the NHL are major industries that draw large in-person and televised audiences, and sell billions of dollars of merchandise, TV rights, sponsorships and endorsements, among other things. In the British commonwealth, cricket and rugby are huge draws, and soccer dominates t.
Hawk-eye technology uses multiple high-speed cameras and triangulation to track the path of a ball in sports like cricket and tennis. It consists of a tracking system that calculates details of the ball's movement and speed, and a video replay system that records and displays the ball's most statistically likely trajectory. Hawk-eye is used in cricket for contentious decisions like leg before wicket and has improved accuracy of calls to over 99%. Developers continue enhancing the system for additional sports and applications.
The Software Engineering Profession SWE311The Software Enginee.docxssusera34210
The Software Engineering Profession SWE311
The Software Engineering Profession SWE311-1503A-01 7/27/2015
Antoine Sims
Table of Contents
Project Outline 2
Overview 2
IT Infrastructure 3
Software Engineering Practices 4
Methodology 4
Software Engineering Standards 7
Standards 7
Software Engineering Communications 9
Communication 9
Software Engineering Ethics and Roles 12
TBD 12
Software Engineering Issues 13
TBD 13
References 14
Phase 3. Repurposed: “This task contains portions of material that were originally submitted during the phase 3 discussion board The Software Engineering Profession in SWE311 with Professor Tricic
Project Outline
Overview
Bungie.net is a company that serves as a community role for online gamers that have been around since 1996. Gamers continue to use the site as a place to gather information about news, events and technical information on upcoming games and projects. The primary function of the site is to serve as a community hub for anything that is Bungie Studios related. Any game or project that Bungie has is available for discussion through forums. Online gamers can also track there stats for games that they play. The site also serves as a means for Bungie to get feedback about gaming experience before issuing out updates to the latest gameplay updating.
“Bungie.net leverages the Microsoft .NET Framework running on Microsoft Windows 2003 and Microsoft SQL 2000 Servers to serve up over 3 million page views per day and accumulating over 300 GB of data a month of online game statistics from the almost 1 million online games played every day. Not only is Bungie.net built to scale, but its design and inventive features have not gone unnoticed, since it was rated as the "Most Innovative Design" by IGN Entertainment. The site also exceeds a 99 percent up-time ratio even through peak usage periods such as the week of the Halo 2 release. Clearly, the release of the Bungie.net site defines a new milestone in the era of online game play. This case study provides insight into this accomplishment” (Microsoft Corporation, 2005).
IT Infrastructure
Bungie has two IT department consists of two separate entities. One of those entities is an IT department that maintains the Bungie.net website and the other is its engineering department. The engineering department is the department where Bungie creates its software for the video game that they develop. In the IT Department or Operations there are several positions such as IT engineer, IT support/server specialist, and datacenter operations specialist. These people maintain the online gaming data and the website. They deal with the servers keeping them up and running. The Engineering Department has a host of position that incorporate it such as database engineers, infrastructure/platform engineers, mobile engineers, leads, online engineers, tools engineers, game server tools engineers, engine programmers, game service engineers, activities engineers, graphics pr ...
Goal line technology uses cameras and sensors to accurately determine if the ball has crossed into the goal. It was first tested in the 2000s and approved for professional use in 2012. It sends a signal to the referee's watch within a second of the ball crossing the line to eliminate controversial or disputed goals. Its implementation has increased fairness in the game and reduced controversies. As technology advances, goal line systems may integrate virtual reality or artificial intelligence to further enhance referees' decision making abilities.
Entropy features trained support vector machine based logoIAEME Publication
The document proposes a logo-based method for detecting replays in sports videos using a support vector machine (SVM) classifier. The algorithm involves two main stages: 1) Training an SVM classifier to identify logo frames versus non-logo frames using entropy features extracted from sample logo and non-logo frames. 2) Applying the trained SVM to the video frames to detect the start and end logo frames for each replay segment, and then extracting the frames between the logo frames to obtain replay clips. Experiments on cricket and soccer videos demonstrated the effectiveness of using logo detection and SVM classification to automatically extract replay segments for sports video summarization and indexing.
Entropy features trained support vector machine based logoIAEME Publication
In many sports, the majority of highlights are confined to relatively short durations of
intense action. In some sense these segments capture the essence of a game and summarize
the moments of important action. Automatic detection of these highlights could provide an
important browsing mechanism in a video library of sports games. These replays often correspond to highlights in a game and can be used as indices of a sports video. The proposed
mechanism employs support vector machine (SVM) for detection of logos that are flashed at
beginning and end of every reply action. The algorithm is composed of logos detection and
replay segment extraction. First SVM is trained with features of all possible logos normally
used in various sports videos. Then the SVM is used for detection of logos that sandwich
replay segment further that segment is automatically extracted to produce replay clip. The
SVM classifier is trained with histogram features of logos is utilized. Experiments conducted
on IPL and Soccer videos demonstrate the effectiveness of this method. Moreover, algorithm
can be easily applied to other sports videos where replay is sandwiched by pair of logos
This document describes a system to predict cricket match scores and outcomes using machine learning algorithms. It involves collecting historical match data, cleaning the data, splitting it into training and test sets, and using algorithms like Naive Bayes, SVM, K-Means, logistic regression, and decision trees. The proposed system architecture involves data collection, feature extraction, model training, and prediction. Performance is evaluated using metrics like accuracy, precision, and recall from a confusion matrix. The authors aim to use multiple algorithms and compare their relative performance to improve predictions.
1. ACET Sports Alert is a mobile application that aims to manage sports registration and activities in a college more efficiently compared to manual systems.
2. It allows for online registration of students, automated scheduling of matches, providing statistics and notifications to users.
3. The key technologies used are Android Studio for mobile development, Laravel as the backend framework, and XAMPP as the local development server. It has modules for admin and user login and management of games, players, matches and notifications.
Thomas Huijskens is a Principal Data Scientist at QuantumBlack, McKinsey company, an advanced analytics firm operating at the intersection of strategy, technology, and design to improve performance outcomes for organizations.
His talk during the Data Science Conference will focus on the usage of analytics and AI in order to predict sport injuries.
The document proposes a gymnastic event management system to address issues athletes face with registering for events, verifying documents, and tracking schedules and performances. The proposed system would allow athletes to register and upload documents online, generate schedules, and display real-time scores and rankings to help athletes and organizers manage events more efficiently. Key features of the system include online registration, event scheduling, electronic scoring by judges, and a player profile section to track performances.
Elg 5100 project report anurag & jayanshuAnurag Das
The document describes a study that developed a size estimation model for board-based desktop games. The authors identified relevant parameters like number of rules, players, animation complexity, etc. They collected data from over 60 open source games to analyze the parameters and derive a linear regression model. The model was then assessed using various accuracy metrics and validated through cross-validation. A case study demonstrated how the model can be used to estimate the size of a new board game.
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...IRJET Journal
1) The document discusses the Sungal Tunnel project in Jammu and Kashmir, India, which is being constructed using the New Austrian Tunneling Method (NATM).
2) NATM involves continuous monitoring during construction to adapt to changing ground conditions, and makes extensive use of shotcrete for temporary tunnel support.
3) The methodology section outlines the systematic geotechnical design process for tunnels according to Austrian guidelines, and describes the various steps of NATM tunnel construction including initial and secondary tunnel support.
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTUREIRJET Journal
This study examines the effect of response reduction factors (R factors) on reinforced concrete (RC) framed structures through nonlinear dynamic analysis. Three RC frame models with varying heights (4, 8, and 12 stories) were analyzed in ETABS software under different R factors ranging from 1 to 5. The results showed that displacement increased as the R factor decreased, indicating less linear behavior for lower R factors. Drift also decreased proportionally with increasing R factors from 1 to 5. Shear forces in the frames decreased with higher R factors. In general, R factors of 3 to 5 produced more satisfactory performance with less displacement and drift. The displacement variations between different building heights were consistent at different R factors. This study evaluated how R factors influence
More Related Content
Similar to Automatic Report Generation of a Football Match
This document describes a cricket scorebook software. It includes modules for tracking the match in progress ball-by-ball, providing match summaries, and displaying stats for current batsmen, bowlers, extras, and all batsmen. The software is designed to automatically update stats and calculate values like run rate and strike rate. It allows adjusting the overs if weather interrupts a match and starting a new match.
This document discusses using machine learning to analyze and predict results from matches in the Indian Premier League (IPL). Data from 2008-2020 is scraped and preprocessed. Models like random forest regression and logistic regression are used to predict first innings scores and the probability of the second team winning. Visualizations show team and player performances in different match situations. The models are deployed in a web app. The analysis provides insights to help teams and players improve strategies. Future work could incorporate more detailed match and player stats.
This document presents a project on developing a "Cricket Match Score Website" to provide live score updates and commentary for cricket matches. The project aims to allow users to access live scores and reviews from anywhere during a match. It also aims to store team and player information as well as allow users to post comments. The document discusses the justification, objectives, data flow, feasibility and future scope of the project. It also lists the software and hardware requirements.
Presentation on Sem-Automated Offside Technology.pptxyetip31604
Semi-automated offside technology uses advanced sensors and cameras to track players and the ball, processes the data using artificial intelligence, and provides offside alerts and 3D animations to match officials to help make faster and more accurate offside decisions. It was first implemented in 2021 and has since been used in major competitions like the FIFA Club World Cup and UEFA Champions League. While it can improve accuracy and fairness, there are still challenges to address regarding technology limitations and delays.
AI Golf: Golf Swing Analysis Tool for Self-TrainingIRJET Journal
This document describes a neural network-based tool for golf swing analysis called AI Golf that was developed to help users improve their swing through self-training. The tool compares a user's swing motion to that of an expert and identifies key differences using unsupervised learning. It analyzes video and 3D pose data of swings to synchronize motions and detect variations in the latent space. The tool was found to accurately identify subtle discrepancies between user and expert swings. It has the potential to provide personalized feedback to help golfers enhance various aspects of their swing. Future work may involve integrating additional sensors and technologies to provide more detailed coaching and analysis capabilities.
This document contains the planning and implementation details for a cricket scorecard application. It includes sections on defining the problem, planning and designing the solution, implementing the solution, testing and maintaining the solution, and discussing social and ethical issues. The planning and design section includes Gantt charts, system documentation, design tools like IPO charts and data flow diagrams. The implementation section includes algorithms, pseudocode, and Visual Basic source code to create games, players, login functionality, and load/save to files. It also discusses testing plans and maintenance approaches.
A comparative study of hawk eye and goal lineGaurav Handa
Hawk-Eye and goal line technology were developed to make objective decisions in sports. Hawk-Eye uses cameras to track a ball's trajectory in cricket and tennis. Goal line technology uses magnetic fields to detect when a soccer ball fully crosses the goal line. Both aim to reduce errors in close calls but have limitations like visibility of the ball. Further improvements could help these technologies positively impact sports fairness.
Appendix A Peer Review Feedback Form 1Reviewer’s Name _Date _.docxlisandrai1k
Appendix A: Peer Review Feedback Form 1
Reviewer’s Name: _
Date: __
Writer’s Assigned #: _
Course:____
Section:__
Assignment
3:
PersuasivePaper
Part
1:A
Problem
Exists
Peer
reviews
should
provide
feedback
toapeeronthe
criteria
expectedinthe
paper.
Followthese
instructions:
1)
Receive
aclassmate’spaper
from
your
professor(inclass
if
on-ground;
by
e-mail
if
online).
2)
Copy
thePeerReviewFeedback
Form
from
the
Appendix.
3)
Comment
on
allcriteria,notingstrengths
and
/
or
areasforimprovement
on
thefeedbackform.
4)
Provide
completedPeerReviewFeedback
Form
and
classmate’s
paperto
your
professor.
Note
:
On-groundstudents
should
submit
the
feedbackform
and
papertotheprofessorduringthe
class
meetingin
which
thepaper
is
reviewed;
online
students
should
submit
the
feedback
form
and
paper
totheprofessorviatheAssignmentTab
in
thecourseshell.
Criteria
+ Strengths
Comments < Areas for Improvement
1.
Provide
an
appropriate
title
and
an
interesting
opening
paragraph
to
appeal
to
your
stated
audience
(appeal
with
logic,
ethics,
or
emotion).
2.
Include
a
defensible,
relevant
thesis
statement
inthe
first
paragraph.
(With
revised
thesis
statement.)
3. Describe
the
history
and
status
of
the
issue
and
provide
an
overview
of the
problem(s)
that
need
to
be
addressed.
This
should
beoneor
two
(1-2)
paragraphs.
4.
Explain
the
first
problem
(economic,
social,
political,
environmental,
complexity,
inequity,
ethical/moral,
etc.)and
provide
support
for
your
claims.
This should
be
one
or
two
(1-
2) paragraphs.
5.
Explain
the
second
problem
(economic,
social,
political,
environmental,
complexity,
inequity,
ethical/moral,
etc.)
and
provide
support
for
your
claims.
This should
beone or
two
(1-2)
paragraphs.
6.
Explain
the
third
problem (economic,
social,
political,
environmental,
complexity,
inequity,
ethical/moral,
etc.)and
provide
support
for
your
claims.
This should
be
one
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two
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7. Use effective transitional words, phrases, and sentences throughout the paper.
8.
Provide
a
concluding
paragraph
that
summarizes
the
stated
problems
and
promises
a
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9. Develop a coherently structured paper with an introduction, body, and conclusion
10. Support
claims
with
at
least
three
(3)
quality,
relevant
references.
Use
credible,
academic
sources available
through
Strayer
University’s
Resource
Center.
11. Other
The Case Against Instant Replay
Muyiwa Fagbami
Professor Virginia Rodriguez
ENG 215 – Research and Writing
11/06/2016
The Case Against Instant Replay
Professional sports are a cornerstone of several global cultures. In the USA, the NFL, NBA, MLB, and to a lesser extent, the NHL are major industries that draw large in-person and televised audiences, and sell billions of dollars of merchandise, TV rights, sponsorships and endorsements, among other things. In the British commonwealth, cricket and rugby are huge draws, and soccer dominates t.
Hawk-eye technology uses multiple high-speed cameras and triangulation to track the path of a ball in sports like cricket and tennis. It consists of a tracking system that calculates details of the ball's movement and speed, and a video replay system that records and displays the ball's most statistically likely trajectory. Hawk-eye is used in cricket for contentious decisions like leg before wicket and has improved accuracy of calls to over 99%. Developers continue enhancing the system for additional sports and applications.
The Software Engineering Profession SWE311The Software Enginee.docxssusera34210
The Software Engineering Profession SWE311
The Software Engineering Profession SWE311-1503A-01 7/27/2015
Antoine Sims
Table of Contents
Project Outline 2
Overview 2
IT Infrastructure 3
Software Engineering Practices 4
Methodology 4
Software Engineering Standards 7
Standards 7
Software Engineering Communications 9
Communication 9
Software Engineering Ethics and Roles 12
TBD 12
Software Engineering Issues 13
TBD 13
References 14
Phase 3. Repurposed: “This task contains portions of material that were originally submitted during the phase 3 discussion board The Software Engineering Profession in SWE311 with Professor Tricic
Project Outline
Overview
Bungie.net is a company that serves as a community role for online gamers that have been around since 1996. Gamers continue to use the site as a place to gather information about news, events and technical information on upcoming games and projects. The primary function of the site is to serve as a community hub for anything that is Bungie Studios related. Any game or project that Bungie has is available for discussion through forums. Online gamers can also track there stats for games that they play. The site also serves as a means for Bungie to get feedback about gaming experience before issuing out updates to the latest gameplay updating.
“Bungie.net leverages the Microsoft .NET Framework running on Microsoft Windows 2003 and Microsoft SQL 2000 Servers to serve up over 3 million page views per day and accumulating over 300 GB of data a month of online game statistics from the almost 1 million online games played every day. Not only is Bungie.net built to scale, but its design and inventive features have not gone unnoticed, since it was rated as the "Most Innovative Design" by IGN Entertainment. The site also exceeds a 99 percent up-time ratio even through peak usage periods such as the week of the Halo 2 release. Clearly, the release of the Bungie.net site defines a new milestone in the era of online game play. This case study provides insight into this accomplishment” (Microsoft Corporation, 2005).
IT Infrastructure
Bungie has two IT department consists of two separate entities. One of those entities is an IT department that maintains the Bungie.net website and the other is its engineering department. The engineering department is the department where Bungie creates its software for the video game that they develop. In the IT Department or Operations there are several positions such as IT engineer, IT support/server specialist, and datacenter operations specialist. These people maintain the online gaming data and the website. They deal with the servers keeping them up and running. The Engineering Department has a host of position that incorporate it such as database engineers, infrastructure/platform engineers, mobile engineers, leads, online engineers, tools engineers, game server tools engineers, engine programmers, game service engineers, activities engineers, graphics pr ...
Goal line technology uses cameras and sensors to accurately determine if the ball has crossed into the goal. It was first tested in the 2000s and approved for professional use in 2012. It sends a signal to the referee's watch within a second of the ball crossing the line to eliminate controversial or disputed goals. Its implementation has increased fairness in the game and reduced controversies. As technology advances, goal line systems may integrate virtual reality or artificial intelligence to further enhance referees' decision making abilities.
Entropy features trained support vector machine based logoIAEME Publication
The document proposes a logo-based method for detecting replays in sports videos using a support vector machine (SVM) classifier. The algorithm involves two main stages: 1) Training an SVM classifier to identify logo frames versus non-logo frames using entropy features extracted from sample logo and non-logo frames. 2) Applying the trained SVM to the video frames to detect the start and end logo frames for each replay segment, and then extracting the frames between the logo frames to obtain replay clips. Experiments on cricket and soccer videos demonstrated the effectiveness of using logo detection and SVM classification to automatically extract replay segments for sports video summarization and indexing.
Entropy features trained support vector machine based logoIAEME Publication
In many sports, the majority of highlights are confined to relatively short durations of
intense action. In some sense these segments capture the essence of a game and summarize
the moments of important action. Automatic detection of these highlights could provide an
important browsing mechanism in a video library of sports games. These replays often correspond to highlights in a game and can be used as indices of a sports video. The proposed
mechanism employs support vector machine (SVM) for detection of logos that are flashed at
beginning and end of every reply action. The algorithm is composed of logos detection and
replay segment extraction. First SVM is trained with features of all possible logos normally
used in various sports videos. Then the SVM is used for detection of logos that sandwich
replay segment further that segment is automatically extracted to produce replay clip. The
SVM classifier is trained with histogram features of logos is utilized. Experiments conducted
on IPL and Soccer videos demonstrate the effectiveness of this method. Moreover, algorithm
can be easily applied to other sports videos where replay is sandwiched by pair of logos
This document describes a system to predict cricket match scores and outcomes using machine learning algorithms. It involves collecting historical match data, cleaning the data, splitting it into training and test sets, and using algorithms like Naive Bayes, SVM, K-Means, logistic regression, and decision trees. The proposed system architecture involves data collection, feature extraction, model training, and prediction. Performance is evaluated using metrics like accuracy, precision, and recall from a confusion matrix. The authors aim to use multiple algorithms and compare their relative performance to improve predictions.
1. ACET Sports Alert is a mobile application that aims to manage sports registration and activities in a college more efficiently compared to manual systems.
2. It allows for online registration of students, automated scheduling of matches, providing statistics and notifications to users.
3. The key technologies used are Android Studio for mobile development, Laravel as the backend framework, and XAMPP as the local development server. It has modules for admin and user login and management of games, players, matches and notifications.
Thomas Huijskens is a Principal Data Scientist at QuantumBlack, McKinsey company, an advanced analytics firm operating at the intersection of strategy, technology, and design to improve performance outcomes for organizations.
His talk during the Data Science Conference will focus on the usage of analytics and AI in order to predict sport injuries.
The document proposes a gymnastic event management system to address issues athletes face with registering for events, verifying documents, and tracking schedules and performances. The proposed system would allow athletes to register and upload documents online, generate schedules, and display real-time scores and rankings to help athletes and organizers manage events more efficiently. Key features of the system include online registration, event scheduling, electronic scoring by judges, and a player profile section to track performances.
Elg 5100 project report anurag & jayanshuAnurag Das
The document describes a study that developed a size estimation model for board-based desktop games. The authors identified relevant parameters like number of rules, players, animation complexity, etc. They collected data from over 60 open source games to analyze the parameters and derive a linear regression model. The model was then assessed using various accuracy metrics and validated through cross-validation. A case study demonstrated how the model can be used to estimate the size of a new board game.
Similar to Automatic Report Generation of a Football Match (20)
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...IRJET Journal
1) The document discusses the Sungal Tunnel project in Jammu and Kashmir, India, which is being constructed using the New Austrian Tunneling Method (NATM).
2) NATM involves continuous monitoring during construction to adapt to changing ground conditions, and makes extensive use of shotcrete for temporary tunnel support.
3) The methodology section outlines the systematic geotechnical design process for tunnels according to Austrian guidelines, and describes the various steps of NATM tunnel construction including initial and secondary tunnel support.
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTUREIRJET Journal
This study examines the effect of response reduction factors (R factors) on reinforced concrete (RC) framed structures through nonlinear dynamic analysis. Three RC frame models with varying heights (4, 8, and 12 stories) were analyzed in ETABS software under different R factors ranging from 1 to 5. The results showed that displacement increased as the R factor decreased, indicating less linear behavior for lower R factors. Drift also decreased proportionally with increasing R factors from 1 to 5. Shear forces in the frames decreased with higher R factors. In general, R factors of 3 to 5 produced more satisfactory performance with less displacement and drift. The displacement variations between different building heights were consistent at different R factors. This study evaluated how R factors influence
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...IRJET Journal
This study compares the use of Stark Steel and TMT Steel as reinforcement materials in a two-way reinforced concrete slab. Mechanical testing is conducted to determine the tensile strength, yield strength, and other properties of each material. A two-way slab design adhering to codes and standards is executed with both materials. The performance is analyzed in terms of deflection, stability under loads, and displacement. Cost analyses accounting for material, durability, maintenance, and life cycle costs are also conducted. The findings provide insights into the economic and structural implications of each material for reinforcement selection and recommendations on the most suitable material based on the analysis.
Effect of Camber and Angles of Attack on Airfoil CharacteristicsIRJET Journal
This document discusses a study analyzing the effect of camber, position of camber, and angle of attack on the aerodynamic characteristics of airfoils. Sixteen modified asymmetric NACA airfoils were analyzed using computational fluid dynamics (CFD) by varying the camber, camber position, and angle of attack. The results showed the relationship between these parameters and the lift coefficient, drag coefficient, and lift to drag ratio. This provides insight into how changes in airfoil geometry impact aerodynamic performance.
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...IRJET Journal
This document reviews the progress and challenges of aluminum-based metal matrix composites (MMCs), focusing on their fabrication processes and applications. It discusses how various aluminum MMCs have been developed using reinforcements like borides, carbides, oxides, and nitrides to improve mechanical and wear properties. These composites have gained prominence for their lightweight, high-strength and corrosion resistance properties. The document also examines recent advancements in fabrication techniques for aluminum MMCs and their growing applications in industries such as aerospace and automotive. However, it notes that challenges remain around issues like improper mixing of reinforcements and reducing reinforcement agglomeration.
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...IRJET Journal
This document discusses research on using graph neural networks (GNNs) for dynamic optimization of public transportation networks in real-time. GNNs represent transit networks as graphs with nodes as stops and edges as connections. The GNN model aims to optimize networks using real-time data on vehicle locations, arrival times, and passenger loads. This helps increase mobility, decrease traffic, and improve efficiency. The system continuously trains and infers to adapt to changing transit conditions, providing decision support tools. While research has focused on performance, more work is needed on security, socio-economic impacts, contextual generalization of models, continuous learning approaches, and effective real-time visualization.
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...IRJET Journal
This document summarizes a research project that aims to compare the structural performance of conventional slab and grid slab systems in multi-story buildings using ETABS software. The study will analyze both symmetric and asymmetric building models under various loading conditions. Parameters like deflections, moments, shears, and stresses will be examined to evaluate the structural effectiveness of each slab type. The results will provide insights into the comparative behavior of conventional and grid slabs to help engineers and architects select appropriate slab systems based on building layouts and design requirements.
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...IRJET Journal
This document summarizes and reviews a research paper on the seismic response of reinforced concrete (RC) structures with plan and vertical irregularities, with and without infill walls. It discusses how infill walls can improve or reduce the seismic performance of RC buildings, depending on factors like wall layout, height distribution, connection to the frame, and relative stiffness of walls and frames. The reviewed research paper analyzes the behavior of infill walls, effects of vertical irregularities, and seismic performance of high-rise structures under linear static and dynamic analysis. It studies response characteristics like story drift, deflection and shear. The document also provides literature on similar research investigating the effects of infill walls, soft stories, plan irregularities, and different
This document provides a review of machine learning techniques used in Advanced Driver Assistance Systems (ADAS). It begins with an abstract that summarizes key applications of machine learning in ADAS, including object detection, recognition, and decision-making. The introduction discusses the integration of machine learning in ADAS and how it is transforming vehicle safety. The literature review then examines several research papers on topics like lightweight deep learning models for object detection and lane detection models using image processing. It concludes by discussing challenges and opportunities in the field, such as improving algorithm robustness and adaptability.
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...IRJET Journal
The document analyzes temperature and precipitation trends in Asosa District, Benishangul Gumuz Region, Ethiopia from 1993 to 2022 based on data from the local meteorological station. The results show:
1) The average maximum and minimum annual temperatures have generally decreased over time, with maximum temperatures decreasing by a factor of -0.0341 and minimum by -0.0152.
2) Mann-Kendall tests found the decreasing temperature trends to be statistically significant for annual maximum temperatures but not for annual minimum temperatures.
3) Annual precipitation in Asosa District showed a statistically significant increasing trend.
The conclusions recommend development planners account for rising summer precipitation and declining temperatures in
P.E.B. Framed Structure Design and Analysis Using STAAD ProIRJET Journal
This document discusses the design and analysis of pre-engineered building (PEB) framed structures using STAAD Pro software. It provides an overview of PEBs, including that they are designed off-site with building trusses and beams produced in a factory. STAAD Pro is identified as a key tool for modeling, analyzing, and designing PEBs to ensure their performance and safety under various load scenarios. The document outlines modeling structural parts in STAAD Pro, evaluating structural reactions, assigning loads, and following international design codes and standards. In summary, STAAD Pro is used to design and analyze PEB framed structures to ensure safety and code compliance.
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...IRJET Journal
This document provides a review of research on innovative fiber integration methods for reinforcing concrete structures. It discusses studies that have explored using carbon fiber reinforced polymer (CFRP) composites with recycled plastic aggregates to develop more sustainable strengthening techniques. It also examines using ultra-high performance fiber reinforced concrete to improve shear strength in beams. Additional topics covered include the dynamic responses of FRP-strengthened beams under static and impact loads, and the performance of preloaded CFRP-strengthened fiber reinforced concrete beams. The review highlights the potential of fiber composites to enable more sustainable and resilient construction practices.
Survey Paper on Cloud-Based Secured Healthcare SystemIRJET Journal
This document summarizes a survey on securing patient healthcare data in cloud-based systems. It discusses using technologies like facial recognition, smart cards, and cloud computing combined with strong encryption to securely store patient data. The survey found that healthcare professionals believe digitizing patient records and storing them in a centralized cloud system would improve access during emergencies and enable more efficient care compared to paper-based systems. However, ensuring privacy and security of patient data is paramount as healthcare incorporates these digital technologies.
Review on studies and research on widening of existing concrete bridgesIRJET Journal
This document summarizes several studies that have been conducted on widening existing concrete bridges. It describes a study from China that examined load distribution factors for a bridge widened with composite steel-concrete girders. It also outlines challenges and solutions for widening a bridge in the UAE, including replacing bearings and stitching the new and existing structures. Additionally, it discusses two bridge widening projects in New Zealand that involved adding precast beams and stitching to connect structures. Finally, safety measures and challenges for strengthening a historic bridge in Switzerland under live traffic are presented.
React based fullstack edtech web applicationIRJET Journal
The document describes the architecture of an educational technology web application built using the MERN stack. It discusses the frontend developed with ReactJS, backend with NodeJS and ExpressJS, and MongoDB database. The frontend provides dynamic user interfaces, while the backend offers APIs for authentication, course management, and other functions. MongoDB enables flexible data storage. The architecture aims to provide a scalable, responsive platform for online learning.
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...IRJET Journal
This paper proposes integrating Internet of Things (IoT) and blockchain technologies to help implement objectives of India's National Education Policy (NEP) in the education sector. The paper discusses how blockchain could be used for secure student data management, credential verification, and decentralized learning platforms. IoT devices could create smart classrooms, automate attendance tracking, and enable real-time monitoring. Blockchain would ensure integrity of exam processes and resource allocation, while smart contracts automate agreements. The paper argues this integration has potential to revolutionize education by making it more secure, transparent and efficient, in alignment with NEP goals. However, challenges like infrastructure needs, data privacy, and collaborative efforts are also discussed.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.IRJET Journal
This document provides a review of research on the performance of coconut fibre reinforced concrete. It summarizes several studies that tested different volume fractions and lengths of coconut fibres in concrete mixtures with varying compressive strengths. The studies found that coconut fibre improved properties like tensile strength, toughness, crack resistance, and spalling resistance compared to plain concrete. Volume fractions of 2-5% and fibre lengths of 20-50mm produced the best results. The document concludes that using a 4-5% volume fraction of coconut fibres 30-40mm in length with M30-M60 grade concrete would provide benefits based on previous research.
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...IRJET Journal
The document discusses optimizing business management processes through automation using Microsoft Power Automate and artificial intelligence. It provides an overview of Power Automate's key components and features for automating workflows across various apps and services. The document then presents several scenarios applying automation solutions to common business processes like data entry, monitoring, HR, finance, customer support, and more. It estimates the potential time and cost savings from implementing automation for each scenario. Finally, the conclusion emphasizes the transformative impact of AI and automation tools on business processes and the need for ongoing optimization.
Multistoried and Multi Bay Steel Building Frame by using Seismic DesignIRJET Journal
The document describes the seismic design of a G+5 steel building frame located in Roorkee, India according to Indian codes IS 1893-2002 and IS 800. The frame was analyzed using the equivalent static load method and response spectrum method, and its response in terms of displacements and shear forces were compared. Based on the analysis, the frame was designed as a seismic-resistant steel structure according to IS 800:2007. The software STAAD Pro was used for the analysis and design.
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...IRJET Journal
This research paper explores using plastic waste as a sustainable and cost-effective construction material. The study focuses on manufacturing pavers and bricks using recycled plastic and partially replacing concrete with plastic alternatives. Initial results found that pavers and bricks made from recycled plastic demonstrate comparable strength and durability to traditional materials while providing environmental and cost benefits. Additionally, preliminary research indicates incorporating plastic waste as a partial concrete replacement significantly reduces construction costs without compromising structural integrity. The outcomes suggest adopting plastic waste in construction can address plastic pollution while optimizing costs, promoting more sustainable building practices.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTjpsjournal1
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024Sinan KOZAK
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELgerogepatton
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
International Conference on NLP, Artificial Intelligence, Machine Learning an...gerogepatton
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications.
Fuel Cells: Introduction- importance and classification of fuel cells - description, principle, components, applications of fuel cells: H2-O2 fuel cell, alkaline fuel cell, molten carbonate fuel cell and direct methanol fuel cells.