This document discusses the design and implementation of a chatbot created using Python. It begins with an abstract that outlines how chatbots work using artificial intelligence and machine learning platforms. Then, it discusses how the chatbot is implemented using Artificial Intelligence Markup Language (AIML) and Latent Semantic Analysis (LSA) in Python. The document outlines the system design, including the architecture and modules. It then discusses implementing the chatbot with a graphical user interface using the Flask framework. Finally, it evaluates the chatbot and discusses potential future work, such as incorporating additional APIs to expand the chatbot's knowledge.
The document discusses the physical design of IoT devices and protocols. It describes that IoT devices have interfaces for sensors, internet connectivity, memory/storage, and audio/video. These devices can exchange data directly or indirectly with other devices. The document then explains several common link layer, network/internet layer, and transport layer protocols used in IoT including Ethernet, WiFi, TCP, and UDP. It also distinguishes between IoT network protocols like HTTP, LoRaWAN, Bluetooth, and Zigbee that connect devices over networks, and IoT data protocols like MQTT, CoAP, AMQP, M2M, and XMPP that provide point-to-point device connectivity without an internet connection.
Unit 2,3,4 _ Internet of Things A Hands-On Approach (Arshdeep Bahga, Vijay Ma...Selvaraj Seerangan
This document discusses the development of a new type of battery that could revolutionize energy storage. It describes how the battery uses a solid electrolyte material that conducts ions quickly and prevents short circuits. This new battery design could lead to batteries that charge faster, last longer, and are less flammable than current lithium-ion batteries. The document concludes by stating that further research is still needed but that this new battery technology shows significant potential.
The document discusses the three phases of analysis in compiling a source program:
1) Linear analysis involves grouping characters into tokens with collective meanings like identifiers and operators.
2) Hierarchical analysis groups tokens into nested structures with collective meanings like expressions, represented by parse trees.
3) Semantic analysis checks that program components fit together meaningfully through type checking and ensuring operators have permitted operand types.
This document discusses various techniques for code optimization at the compiler level. It begins by defining code optimization and explaining that it aims to make a program more efficient by reducing resources like time and memory usage. Several common optimization techniques are then described, including common subexpression elimination, dead code elimination, and loop optimization. Common subexpression elimination removes redundant computations. Dead code elimination removes code that does not affect program output. Loop optimization techniques like removing loop invariants and induction variables can improve loop performance. The document provides examples to illustrate how each technique works.
Control Strategies
Control Strategy in Artificial Intelligence
scenario is a technique or strategy, tells us about which rule has to be applied next while searching for the solution of a problem within problem space.
It helps us to decide which rule has to apply next without getting stuck at any point.
Characteristics of Control Strategies
A good Control strategy has two main
characteristics:
Control Strategy should cause Motion
Control strategy should be Systematic
Co ntrol Strategy should cause Motion
Each rule or strategy applied should cause the motion because if there will be no motion than such control strategy will never lead to a solution. Motion states about the change of state and if a state will not change then there be no movement from an initial state and we would never solve the problem.
Co ntrol Strategy should be Systematic
Though the strategy applied should create the
motion but if do not follow some systematic
strategy than we are likely to reach the same state
number of times before reaching the solution
which increases the number of steps. Taking care of only first strategy we may go through particular useless sequences of operators several times. Control Strategy should be systematic implies a need for global motion as well as for local motion.
The document outlines a procedure for performing sentiment analysis on tweets. It involves using the Twitter API and streaming tweets containing a keyword. The tweets are preprocessed by filtering, tokenization, and removing stop words. Then a classification algorithm is applied to classify each tweet as positive, negative, or neutral sentiment. Finally, the results will be plotted to analyze the polarity of sentiments in the tweets.
This document contains 10 questions about regular expressions with solutions. The questions involve writing regular expressions to match strings with certain properties, such as containing a specific number of a particular letter, ending in a double letter, containing a substring once but not twice, and having an even/odd number of certain letters. The solutions provided regular expressions to match the string properties described in each question.
The document discusses the physical design of IoT devices and protocols. It describes that IoT devices have interfaces for sensors, internet connectivity, memory/storage, and audio/video. These devices can exchange data directly or indirectly with other devices. The document then explains several common link layer, network/internet layer, and transport layer protocols used in IoT including Ethernet, WiFi, TCP, and UDP. It also distinguishes between IoT network protocols like HTTP, LoRaWAN, Bluetooth, and Zigbee that connect devices over networks, and IoT data protocols like MQTT, CoAP, AMQP, M2M, and XMPP that provide point-to-point device connectivity without an internet connection.
Unit 2,3,4 _ Internet of Things A Hands-On Approach (Arshdeep Bahga, Vijay Ma...Selvaraj Seerangan
This document discusses the development of a new type of battery that could revolutionize energy storage. It describes how the battery uses a solid electrolyte material that conducts ions quickly and prevents short circuits. This new battery design could lead to batteries that charge faster, last longer, and are less flammable than current lithium-ion batteries. The document concludes by stating that further research is still needed but that this new battery technology shows significant potential.
The document discusses the three phases of analysis in compiling a source program:
1) Linear analysis involves grouping characters into tokens with collective meanings like identifiers and operators.
2) Hierarchical analysis groups tokens into nested structures with collective meanings like expressions, represented by parse trees.
3) Semantic analysis checks that program components fit together meaningfully through type checking and ensuring operators have permitted operand types.
This document discusses various techniques for code optimization at the compiler level. It begins by defining code optimization and explaining that it aims to make a program more efficient by reducing resources like time and memory usage. Several common optimization techniques are then described, including common subexpression elimination, dead code elimination, and loop optimization. Common subexpression elimination removes redundant computations. Dead code elimination removes code that does not affect program output. Loop optimization techniques like removing loop invariants and induction variables can improve loop performance. The document provides examples to illustrate how each technique works.
Control Strategies
Control Strategy in Artificial Intelligence
scenario is a technique or strategy, tells us about which rule has to be applied next while searching for the solution of a problem within problem space.
It helps us to decide which rule has to apply next without getting stuck at any point.
Characteristics of Control Strategies
A good Control strategy has two main
characteristics:
Control Strategy should cause Motion
Control strategy should be Systematic
Co ntrol Strategy should cause Motion
Each rule or strategy applied should cause the motion because if there will be no motion than such control strategy will never lead to a solution. Motion states about the change of state and if a state will not change then there be no movement from an initial state and we would never solve the problem.
Co ntrol Strategy should be Systematic
Though the strategy applied should create the
motion but if do not follow some systematic
strategy than we are likely to reach the same state
number of times before reaching the solution
which increases the number of steps. Taking care of only first strategy we may go through particular useless sequences of operators several times. Control Strategy should be systematic implies a need for global motion as well as for local motion.
The document outlines a procedure for performing sentiment analysis on tweets. It involves using the Twitter API and streaming tweets containing a keyword. The tweets are preprocessed by filtering, tokenization, and removing stop words. Then a classification algorithm is applied to classify each tweet as positive, negative, or neutral sentiment. Finally, the results will be plotted to analyze the polarity of sentiments in the tweets.
This document contains 10 questions about regular expressions with solutions. The questions involve writing regular expressions to match strings with certain properties, such as containing a specific number of a particular letter, ending in a double letter, containing a substring once but not twice, and having an even/odd number of certain letters. The solutions provided regular expressions to match the string properties described in each question.
The project is to ask college related queries and get the responses through a chatbot an Artificial Conversational Entity. This System is a web application which provides answer to the query of the student. Students just have to query through the bot which is used for chatting. Students can chat using any format there is no specific format the user has to follow. This system helps the student to be updated about the college activities.
This document provides guidelines for an internship report for a web development internship on an address book project. It includes sections that should be included like acknowledgements, certificates, project abstract, introduction, tasks completed, technical skills learned, and conclusion. It also provides formatting guidelines and requirements for submitting supplementary documents and reports. The internship focused on building a web-based address book application with features for adding, deleting, updating, and searching addresses while learning skills in HTML, CSS, JavaScript, and PHP. The intern gained experience in web design, problem solving, and communication skills through completing assigned tasks on the project.
The document provides an overview of sentiment analysis and summarizes the current approaches used. It discusses how machine learning classifiers like Naive Bayes can be used for sentiment classification of texts, treating it as a two-class text classification problem. It also mentions the use of natural language processing techniques. The current system discussed will use machine learning and NLP for sentiment analysis of tweets, training classifiers on labeled tweet data to classify the polarity of new tweets.
Question Answering System using machine learning approachGarima Nanda
In a compact form, this is a presentation reflecting how the machine learning approach can be used for the effective and efficient interaction using classification techniques.
A multi-head Turing machine has a single tape with multiple heads that can read and write to the tape independently. Each head can move left, right, or stay in the same position. This type of Turing machine is as powerful as a standard single-tape Turing machine.
The halting problem asks if it is possible to determine if a Turing machine will halt or run infinitely given its program and input. It is proven to be unsolvable - there is no general algorithm that can correctly determine if all Turing machine programs will halt for all inputs.
This document provides an overview of natural language processing (NLP). It discusses topics like natural language understanding, text categorization, syntactic analysis including parsing and part-of-speech tagging, semantic analysis, and pragmatic analysis. It also covers corpus-based statistical approaches to NLP, measuring performance, and supervised learning methods. The document outlines challenges in NLP like ambiguity and knowledge representation.
The document discusses concepts related to sequence control and subprograms in programming languages. It covers conditional statements, loops, exception handling, subprogram definition and activation, and subprogram environments. Key points include implicit and explicit sequence control using statements, precedence and associativity rules for expressions, stack-based implementation of subprogram calls, and static versus dynamic scoping of identifiers through referencing environments.
This document is a report submitted by Prasun Chakraborty to KIIT Deemed to be University in partial fulfillment of the requirements for a Bachelor's degree in Electronics and Computer Science Engineering. The report describes the development of a desktop assistant application that uses voice commands to complete specified tasks. Python programming language and libraries like OS, datetime, random, PyOWM, PyAutoGUI, Requests, and Twilio.rest are used to develop the voice assistant application.
The document outlines a syllabus for an Internet of Things Technology course. It includes 5 modules that will be covered over the semester. Evaluation will consist of 3 internal assessments weighted at 30%, 40%, and 30% respectively, covering different portions of the syllabus. Students must attain a minimum of 85% attendance and assignments will be due before each internal assessment. The class website and online testing platform are also indicated.
The document discusses different string matching algorithms:
1. The naive string matching algorithm compares characters in the text and pattern sequentially to find matches.
2. The Robin-Karp algorithm uses hashing to quickly determine if the pattern is present in the text before doing full comparisons.
3. Finite automata models the pattern as states in an automaton to efficiently search the text for matches.
This document provides an overview of chatbots, including: definitions of chatbots, the history of chatbots beginning in the 1960s, problems with current chatbot scenarios, educational and system requirements for developing chatbots, how chatbots work, types of chatbots, principles of chatbot design, data flow diagrams and ER diagrams related to chatbots, chatbot architecture, advantages and disadvantages of chatbots compared to humans, examples of successful chatbots, applications and limitations of chatbots, and conclusions. It also includes an index of topics covered and references related to chatbot design.
Artificial intelligence agents can be defined as entities that perceive their environment through sensors, and act upon the environment through effectors to achieve goals or perform tasks. The document discusses different types of agents including table-driven agents, reflex agents, agents with memory, goal-based agents, and utility-based agents. It also covers key concepts in agent design like the PEAS framework and properties of environments that agents operate in.
Online Shopping System Test case Writingchiragmakdiya
The document outlines test cases for an online shopping system. It includes test cases for the registration, login, and shopping cart modules.
For the registration module, test cases verify successful user registration with a unique email ID, validation of the registration with an OTP, and successful login after registration.
Login test cases validate successful login with valid credentials, failed login with invalid credentials, and password reset functionality via OTP.
Shopping cart test cases cover adding an item to the cart successfully, displaying the total cart amount, removing an item from the cart, and proceeding to checkout when items are in the cart.
A single pass assembler scans the program only once and creates the equivalent binary program. The assembler substitute all of the symbolic instruction with machine code in one pass.
We have designed this website with the purpose of allowing the students to give exams and view their results. This site is an attempt to remove the existing flaws in the manual system of conducting exams.
Students are provided the flexibility to choose among different types of aptitude and programming language tests.
The college website provides information about the college through multiple pages that are accessible from the home page. The pages include sections about the college departments, courses offered, contact information, and student resources. The website was designed by a BSc student to help visitors easily access relevant information about the college in an organized manner through clear navigation.
Introduction to Natural Language ProcessingPranav Gupta
the presentation gives a gist about the major tasks and challenges involved in natural language processing. In the second part, it talks about one technique each for Part Of Speech Tagging and Automatic Text Summarization
IRJET - Development of Chatbot Automation Application – DGCT CSE ALEXAIRJET Journal
This document describes the development of a chatbot application called DGCT CSE ALEXA.
- The chatbot was created using Artificial Intelligence Markup Language (AIML) and can answer queries on information related to a university or college, like fees, schedules, and student information.
- It analyzes user questions and provides accurate answers using pattern matching. The chatbot was built with a Python platform and Flask web framework.
Survey on Chatbot Classification and TechnologiesIRJET Journal
This document provides a summary of a research paper on chatbot classification and technologies. It discusses:
1) The evolution of chatbots from early models like ELIZA in 1966 to modern deep learning models.
2) The main uses of chatbots including in government, education, healthcare, customer service, and more.
3) The basic working of chatbots which involves input, analysis, intent/entity identification, and response composition.
The project is to ask college related queries and get the responses through a chatbot an Artificial Conversational Entity. This System is a web application which provides answer to the query of the student. Students just have to query through the bot which is used for chatting. Students can chat using any format there is no specific format the user has to follow. This system helps the student to be updated about the college activities.
This document provides guidelines for an internship report for a web development internship on an address book project. It includes sections that should be included like acknowledgements, certificates, project abstract, introduction, tasks completed, technical skills learned, and conclusion. It also provides formatting guidelines and requirements for submitting supplementary documents and reports. The internship focused on building a web-based address book application with features for adding, deleting, updating, and searching addresses while learning skills in HTML, CSS, JavaScript, and PHP. The intern gained experience in web design, problem solving, and communication skills through completing assigned tasks on the project.
The document provides an overview of sentiment analysis and summarizes the current approaches used. It discusses how machine learning classifiers like Naive Bayes can be used for sentiment classification of texts, treating it as a two-class text classification problem. It also mentions the use of natural language processing techniques. The current system discussed will use machine learning and NLP for sentiment analysis of tweets, training classifiers on labeled tweet data to classify the polarity of new tweets.
Question Answering System using machine learning approachGarima Nanda
In a compact form, this is a presentation reflecting how the machine learning approach can be used for the effective and efficient interaction using classification techniques.
A multi-head Turing machine has a single tape with multiple heads that can read and write to the tape independently. Each head can move left, right, or stay in the same position. This type of Turing machine is as powerful as a standard single-tape Turing machine.
The halting problem asks if it is possible to determine if a Turing machine will halt or run infinitely given its program and input. It is proven to be unsolvable - there is no general algorithm that can correctly determine if all Turing machine programs will halt for all inputs.
This document provides an overview of natural language processing (NLP). It discusses topics like natural language understanding, text categorization, syntactic analysis including parsing and part-of-speech tagging, semantic analysis, and pragmatic analysis. It also covers corpus-based statistical approaches to NLP, measuring performance, and supervised learning methods. The document outlines challenges in NLP like ambiguity and knowledge representation.
The document discusses concepts related to sequence control and subprograms in programming languages. It covers conditional statements, loops, exception handling, subprogram definition and activation, and subprogram environments. Key points include implicit and explicit sequence control using statements, precedence and associativity rules for expressions, stack-based implementation of subprogram calls, and static versus dynamic scoping of identifiers through referencing environments.
This document is a report submitted by Prasun Chakraborty to KIIT Deemed to be University in partial fulfillment of the requirements for a Bachelor's degree in Electronics and Computer Science Engineering. The report describes the development of a desktop assistant application that uses voice commands to complete specified tasks. Python programming language and libraries like OS, datetime, random, PyOWM, PyAutoGUI, Requests, and Twilio.rest are used to develop the voice assistant application.
The document outlines a syllabus for an Internet of Things Technology course. It includes 5 modules that will be covered over the semester. Evaluation will consist of 3 internal assessments weighted at 30%, 40%, and 30% respectively, covering different portions of the syllabus. Students must attain a minimum of 85% attendance and assignments will be due before each internal assessment. The class website and online testing platform are also indicated.
The document discusses different string matching algorithms:
1. The naive string matching algorithm compares characters in the text and pattern sequentially to find matches.
2. The Robin-Karp algorithm uses hashing to quickly determine if the pattern is present in the text before doing full comparisons.
3. Finite automata models the pattern as states in an automaton to efficiently search the text for matches.
This document provides an overview of chatbots, including: definitions of chatbots, the history of chatbots beginning in the 1960s, problems with current chatbot scenarios, educational and system requirements for developing chatbots, how chatbots work, types of chatbots, principles of chatbot design, data flow diagrams and ER diagrams related to chatbots, chatbot architecture, advantages and disadvantages of chatbots compared to humans, examples of successful chatbots, applications and limitations of chatbots, and conclusions. It also includes an index of topics covered and references related to chatbot design.
Artificial intelligence agents can be defined as entities that perceive their environment through sensors, and act upon the environment through effectors to achieve goals or perform tasks. The document discusses different types of agents including table-driven agents, reflex agents, agents with memory, goal-based agents, and utility-based agents. It also covers key concepts in agent design like the PEAS framework and properties of environments that agents operate in.
Online Shopping System Test case Writingchiragmakdiya
The document outlines test cases for an online shopping system. It includes test cases for the registration, login, and shopping cart modules.
For the registration module, test cases verify successful user registration with a unique email ID, validation of the registration with an OTP, and successful login after registration.
Login test cases validate successful login with valid credentials, failed login with invalid credentials, and password reset functionality via OTP.
Shopping cart test cases cover adding an item to the cart successfully, displaying the total cart amount, removing an item from the cart, and proceeding to checkout when items are in the cart.
A single pass assembler scans the program only once and creates the equivalent binary program. The assembler substitute all of the symbolic instruction with machine code in one pass.
We have designed this website with the purpose of allowing the students to give exams and view their results. This site is an attempt to remove the existing flaws in the manual system of conducting exams.
Students are provided the flexibility to choose among different types of aptitude and programming language tests.
The college website provides information about the college through multiple pages that are accessible from the home page. The pages include sections about the college departments, courses offered, contact information, and student resources. The website was designed by a BSc student to help visitors easily access relevant information about the college in an organized manner through clear navigation.
Introduction to Natural Language ProcessingPranav Gupta
the presentation gives a gist about the major tasks and challenges involved in natural language processing. In the second part, it talks about one technique each for Part Of Speech Tagging and Automatic Text Summarization
IRJET - Development of Chatbot Automation Application – DGCT CSE ALEXAIRJET Journal
This document describes the development of a chatbot application called DGCT CSE ALEXA.
- The chatbot was created using Artificial Intelligence Markup Language (AIML) and can answer queries on information related to a university or college, like fees, schedules, and student information.
- It analyzes user questions and provides accurate answers using pattern matching. The chatbot was built with a Python platform and Flask web framework.
Survey on Chatbot Classification and TechnologiesIRJET Journal
This document provides a summary of a research paper on chatbot classification and technologies. It discusses:
1) The evolution of chatbots from early models like ELIZA in 1966 to modern deep learning models.
2) The main uses of chatbots including in government, education, healthcare, customer service, and more.
3) The basic working of chatbots which involves input, analysis, intent/entity identification, and response composition.
Intelligent Library Assistant (ILA) Using Artificial Intelligence and Natural...IRJET Journal
The document describes a proposed intelligent library assistant chatbot called ILA that would use artificial intelligence and natural language processing to help students access university library resources virtually. ILA would allow students to explore library materials like books 24/7 without having to visit the physical library. The chatbot would be built using Python and integrated with Flask so it could be accessed from mobile devices and computers. The goal is to make library resources easily available to students anytime, anywhere through conversational interactions with the intelligent chatbot.
IRJET- A Survey to Chatbot System with Knowledge Base Database by using Artif...IRJET Journal
The document discusses chatbots and artificial intelligence. It provides background on chatbots, including how they have advanced from early rule-based models to more advanced intelligent systems capable of natural conversations. Chatbots analyze user input to formulate relevant responses and are gaining popularity for automating customer service. The document also discusses using knowledge bases and databases to improve chatbot responses and abilities. It reviews different techniques used in building chatbots and their components like classifiers, responders, and knowledge management systems.
IRJET - Chatbot for HR Department using AIML and LSAIRJET Journal
The document proposes a chatbot for an HR department that uses artificial intelligence techniques. It uses Artificial Intelligence Markup Language (AIML) and Latent Semantic Analysis (LSA) to understand natural language queries and provide responses. For common queries and greetings, it uses template-based responses stored in AIML. For more complex queries, it uses LSA for natural language processing techniques like stemming to analyze the query and provide an appropriate response. It discusses how the chatbot could simplify tasks for HR users by allowing them to get information through natural language queries rather than navigating different pages on HR software.
IRJET- Cloud based Chat Bot using IoT and ArduinoIRJET Journal
This document describes a cloud-based chatbot using the Internet of Things (IoT) and Arduino. The chatbot can communicate with users via Bluetooth using a mobile app. It tells users the current temperature and humidity and their distance from the robot. It also indicates new message notifications using sound and light. Users can have basic conversations with the robot and get information about it. The chatbot uses IoT and Android technologies and works within a wireless local area network (WLAN). It provides a low-cost way for businesses to improve customer service and interactions through an automated chatbot system.
User stories collection via interactive chatbot to support requirements gathe...TELKOMNIKA JOURNAL
Nowadays, software products have become an essential part of human life. To build software, developers must have a good understanding of the requirements of the software. However, software developers tend to jumpstart system construction without having a clear and detailed understanding of the requirements. The user story concept is one of the practices of the requirements elicitation. This paper aims to present the work conducted to develop an Android chatbot application to support the requirements elicitation activity in software engineering, making the work less time-consuming and structured even for users not accustomed to requirements engineering. The chatbot uses Nazief & Adriani stemming algorithm to pre-process the natural language it receives from the users and artificial mark-up language (AIML) as the knowledge base to process the bot’s responses. A preliminary acceptance test based on the technology acceptance model results in an 83.03% score for users’ behavioral intention to use.
A Review on the Determinants of a suitable Chatbot Framework- Empirical evide...IRJET Journal
This document reviews and compares two popular chatbot frameworks: RASA and IBM Watson Assistant. It analyzes 30 publications using a systematic review approach to examine the development methodology and areas for improvement of each framework. An extensive comparative analysis is conducted using evaluation models to analyze the performance of each chatbot. The study concludes by discussing why one framework may be preferred over the other and future aspects of each based on data collected from 50 respondents at two companies that provide chatbot services.
A Research Paper on HUMAN MACHINE CONVERSATION USING CHATBOTIRJET Journal
The document describes a research paper on developing a human-machine conversation chatbot. It discusses using artificial intelligence, natural language processing, and machine learning techniques to create an intelligent tutoring chatbot. The proposed methodology involves two stages: knowledge modeling and representation, and conversation flow design. It defines the chatbot architecture and training process that uses Python libraries, intent data files, trained models, and a GUI interface. The goal is to demonstrate building a basic social media and command line chatbot to showcase chatbot and AI concepts.
The document describes a WhatsApp chatbot developed to provide career guidance and information to users. The chatbot was created using Twilio, Flask, and ngrok. It contains over 50 career roadmaps with details on how to become different professions and attached videos. Users can ask the chatbot questions about career options and it will respond with the appropriate roadmap and information to guide them. The chatbot aims to help users who are unsure about their career path by providing all relevant career information in an easy-to-understand format through WhatsApp messages and replies.
A Literature Survey Of Recent Advances In ChatbotsAngela Tyger
This document provides a literature survey of recent advances in chatbots. It discusses the evolution of chatbots from early pattern matching systems like ELIZA to modern deep learning-based approaches. The survey reviews popular chatbot implementation methods and algorithms, commonly used datasets for training, and evaluation techniques. It identifies challenges like contextual and emotional understanding as areas for future improvement and recommends further research on conversational modeling and mitigating gender biases in chatbots.
CUSTOMER SUPPORT CHATBOT WITH MACHINE LEARNINGIRJET Journal
This document describes the development of a customer service chatbot using machine learning. It uses techniques like intent recognition with naive bayes, response generation with a fine-tuned LL model, and continuous learning from user feedback. The chatbot is unique in its ability to understand both text and voice queries. It also integrates features like image recognition and a quick copy function. The prototype demonstrates intent classification with ML pipelines and response generation from the Mistral LL model through an API. Future work may improve model accuracy and add more supported languages and features.
Artificial intelligence (AI) is a multidisciplinary field of science and engineering whose goal is to create intelligent machines.
We believe that AI will be a force multiplier on technological progress in our increasingly digital, data-driven world. This is because everything around us today, ranging from culture to consumer products, is a product of intelligence.
The State of AI Report is now in its sixth year. Consider this report as a compilation of the most interesting things we’ve seen with a goal of triggering an informed conversation about the state of AI and its implication for the future.
We consider the following key dimensions in our report:
Research: Technology breakthroughs and their capabilities.
Industry: Areas of commercial application for AI and its business impact.
Politics: Regulation of AI, its economic implications and the evolving geopolitics of AI.
Safety: Identifying and mitigating catastrophic risks that highly-capable future AI systems could pose to us.
Predictions: What we believe will happen in the next 12 months and a 2022 performance review to keep us honest.
Produced by Nathan Benaich and Air Street Capital team
VOCAL- Voice Command Application using Artificial IntelligenceIRJET Journal
This document summarizes a research paper on developing a voice command application using artificial intelligence. It discusses how chatbots work using natural language processing and machine learning algorithms. The paper aims to create a more conversational chatbot that can hold intelligent dialogues like a human by incorporating natural language understanding, natural language generation, and machine learning techniques. It reviews different types of chatbots and various approaches that can be used to develop the key components of a chatbot system, including the natural language understanding engine, natural language generation engine, and machine learning engine.
An Intelligent Chatbot for College Enquiry with Amazon LexIRJET Journal
This document describes the development of an intelligent chatbot for college enquiries using Amazon Lex. The chatbot was created to handle queries related to college admissions, fees structures, scholarships and other information. It uses Amazon Lex, a service that allows developers to incorporate conversational interfaces into applications. The chatbot consists of intents that match user queries, slots that extract parameters from queries, and fulfillments that provide responses. The chatbot was tested through sample interactions where it successfully answered questions about academics, announcements, timetables and other college details by retrieving information from an AWS S3 storage service linked to it. The chatbot aims to reduce paperwork and provide a convenient way for stakeholders to get information.
IRJET- Review of Chatbot System in Marathi LanguageIRJET Journal
The proposed system aims to develop a question-answering chatbot in Marathi language to interact with users and answer their queries by utilizing pattern matching techniques and data stored in its database, and it will incorporate optical character recognition using the Tesseract library to extract text from documents like PDFs and images. The system architecture includes modules for the chatbot, OCR text recognition, related data storage, and a user interface system.
AI & ML: Although it has been around for a long time, artificial intelligence was once thought to be incredibly challenging. It was typical for scientists and developers to avoid examining utilising it.
To know more about, Top AI & ML tools and frameworks, see https://www.logic-fruit.com/blog/al-ml/top-ai-ml-tools-and-frameworks/
About Logic Fruit Technologies
Logic Fruit Technologies is a product engineering R&D & consulting services provider for embedded systems and application development. We provide end-to-end solutions from the conception of the idea and design to the finished product. We have been servicing customers globally for over a decade.
The company has specific experience in various fields, such as
FPGA Design & hardware design
RTL IP Design
A variety of digital protocols
Communication buses as1G, 10G Ethernet
PCIe
DIGRF
STM16/64
HDMI.
Logic Fruit Technologies is also an expert in developing,
software-defined radio (SDR) IPs
Encryption
Signal generation
Data analysis, and
Multiple Image Processing Techniques.
Recently Logic Fruit technologies are also exploring FPGA acceleration on data centers for real-time data processing.
**Our Social Media Channels**
Facebook: https://www.facebook.com/LogicFruit/
Twitter: https://twitter.com/logicfruit
LinkedIn: https://www.linkedin.com/company/logi…
Website: https://www.logic-fruit.com/
#LFT #LogicFruitTechnologies #LogicFruit
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https://www.slideshare.net/LogicFruit/fpga-vs-asic-design-comparison
https://www.slideshare.net/LogicFruit/afdx-a-timedeterministic-application-of-arinc-664-part-7
https://www.slideshare.net/LogicFruit/fpgas-expansion-in-adas-autonomous-driving
https://www.slideshare.net/LogicFruit/take-a-step-ahead-with-an-upgrade-to-arinc-818-revision-3-avionics-digital-video-bus
https://www.slideshare.net/LogicFruit/arinc-8182-standard-overview-and-its-characteristics
Metalayer now Colayer - Part 3/3 - full PresentationMarkus Hegi
The document discusses the need for knowledge management and collaboration technologies that go beyond email. It proposes a "metalayer" approach using XML to create personalized portals that aggregate content from different communities. This allows integrating internal and external communities to create a global network for sharing knowledge across organizational boundaries.
The document describes the design of a chatbot using deep learning. It proposes using a neural network with multiple hidden layers to learn and process data for the chatbot. The chatbot is intended to be trained on any file based on the user's needs, making it generalized. It will also have text-to-speech conversion to make it more user-friendly. The chatbot is evaluated and achieved 98.24% accuracy in responding to questions within its training data.
A Review Comparative Analysis On Various Chatbots DesignCourtney Esco
The document discusses various techniques used to design chatbots. It presents a survey of chatbot design techniques from nine research papers and compares the main methods used. The document categorizes chatbots into four types - goal-based, knowledge-based, service-based, and response-based. It also describes existing chatbots like Elizabeth bot, Microsoft LUIS, and Alicebot and discusses their approaches to natural language processing and response generation. The document aims to help researchers identify gaps for future chatbot development.
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.
Rainfall intensity duration frequency curve statistical analysis and modeling...bijceesjournal
Using data from 41 years in Patna’ India’ the study’s goal is to analyze the trends of how often it rains on a weekly, seasonal, and annual basis (1981−2020). First, utilizing the intensity-duration-frequency (IDF) curve and the relationship by statistically analyzing rainfall’ the historical rainfall data set for Patna’ India’ during a 41 year period (1981−2020), was evaluated for its quality. Changes in the hydrologic cycle as a result of increased greenhouse gas emissions are expected to induce variations in the intensity, length, and frequency of precipitation events. One strategy to lessen vulnerability is to quantify probable changes and adapt to them. Techniques such as log-normal, normal, and Gumbel are used (EV-I). Distributions were created with durations of 1, 2, 3, 6, and 24 h and return times of 2, 5, 10, 25, and 100 years. There were also mathematical correlations discovered between rainfall and recurrence interval.
Findings: Based on findings, the Gumbel approach produced the highest intensity values, whereas the other approaches produced values that were close to each other. The data indicates that 461.9 mm of rain fell during the monsoon season’s 301st week. However, it was found that the 29th week had the greatest average rainfall, 92.6 mm. With 952.6 mm on average, the monsoon season saw the highest rainfall. Calculations revealed that the yearly rainfall averaged 1171.1 mm. Using Weibull’s method, the study was subsequently expanded to examine rainfall distribution at different recurrence intervals of 2, 5, 10, and 25 years. Rainfall and recurrence interval mathematical correlations were also developed. Further regression analysis revealed that short wave irrigation, wind direction, wind speed, pressure, relative humidity, and temperature all had a substantial influence on rainfall.
Originality and value: The results of the rainfall IDF curves can provide useful information to policymakers in making appropriate decisions in managing and minimizing floods in the study area.
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...shadow0702a
This document serves as a comprehensive step-by-step guide on how to effectively use PyCharm for remote debugging of the Windows Subsystem for Linux (WSL) on a local Windows machine. It meticulously outlines several critical steps in the process, starting with the crucial task of enabling permissions, followed by the installation and configuration of WSL.
The guide then proceeds to explain how to set up the SSH service within the WSL environment, an integral part of the process. Alongside this, it also provides detailed instructions on how to modify the inbound rules of the Windows firewall to facilitate the process, ensuring that there are no connectivity issues that could potentially hinder the debugging process.
The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging.
It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal.
Additionally, the document provides guidance on how to set up breakpoints for debugging, a fundamental aspect of the debugging process which allows the developer to stop the execution of their code at certain points and inspect their program at those stages.
Finally, the document concludes by providing a link to a reference blog. This blog offers additional information and guidance on configuring the remote Python interpreter in PyCharm, providing the reader with a well-rounded understanding of the process.
Generative AI Use cases applications solutions and implementation.pdfmahaffeycheryld
Generative AI solutions encompass a range of capabilities from content creation to complex problem-solving across industries. Implementing generative AI involves identifying specific business needs, developing tailored AI models using techniques like GANs and VAEs, and integrating these models into existing workflows. Data quality and continuous model refinement are crucial for effective implementation. Businesses must also consider ethical implications and ensure transparency in AI decision-making. Generative AI's implementation aims to enhance efficiency, creativity, and innovation by leveraging autonomous generation and sophisticated learning algorithms to meet diverse business challenges.
https://www.leewayhertz.com/generative-ai-use-cases-and-applications/
Build the Next Generation of Apps with the Einstein 1 Platform.
Rejoignez Philippe Ozil pour une session de workshops qui vous guidera à travers les détails de la plateforme Einstein 1, l'importance des données pour la création d'applications d'intelligence artificielle et les différents outils et technologies que Salesforce propose pour vous apporter tous les bénéfices de l'IA.
AI for Legal Research with applications, toolsmahaffeycheryld
AI applications in legal research include rapid document analysis, case law review, and statute interpretation. AI-powered tools can sift through vast legal databases to find relevant precedents and citations, enhancing research accuracy and speed. They assist in legal writing by drafting and proofreading documents. Predictive analytics help foresee case outcomes based on historical data, aiding in strategic decision-making. AI also automates routine tasks like contract review and due diligence, freeing up lawyers to focus on complex legal issues. These applications make legal research more efficient, cost-effective, and accessible.
Comparative analysis between traditional aquaponics and reconstructed aquapon...bijceesjournal
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
Discover the latest insights on Data Driven Maintenance with our comprehensive webinar presentation. Learn about traditional maintenance challenges, the right approach to utilizing data, and the benefits of adopting a Data Driven Maintenance strategy. Explore real-world examples, industry best practices, and innovative solutions like FMECA and the D3M model. This presentation, led by expert Jules Oudmans, is essential for asset owners looking to optimize their maintenance processes and leverage digital technologies for improved efficiency and performance. Download now to stay ahead in the evolving maintenance landscape.
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.
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
Software Engineering and Project Management - Software Testing + Agile Method...Prakhyath Rai
Software Testing: A Strategic Approach to Software Testing, Strategic Issues, Test Strategies for Conventional Software, Test Strategies for Object -Oriented Software, Validation Testing, System Testing, The Art of Debugging.
Agile Methodology: Before Agile – Waterfall, Agile Development.
Software Engineering and Project Management - Introduction, Modeling Concepts...Prakhyath Rai
Introduction, Modeling Concepts and Class Modeling: What is Object orientation? What is OO development? OO Themes; Evidence for usefulness of OO development; OO modeling history. Modeling
as Design technique: Modeling, abstraction, The Three models. Class Modeling: Object and Class Concept, Link and associations concepts, Generalization and Inheritance, A sample class model, Navigation of class models, and UML diagrams
Building the Analysis Models: Requirement Analysis, Analysis Model Approaches, Data modeling Concepts, Object Oriented Analysis, Scenario-Based Modeling, Flow-Oriented Modeling, class Based Modeling, Creating a Behavioral Model.