This document discusses the development of a chatbot to monitor mental health. It begins by outlining the need for better mental healthcare in India given the shortage of professionals. It then discusses how chatbots using artificial intelligence could help address this issue by providing screening, support and monitoring of mental health. The proposed chatbot would use established scales like DASS to screen users, and could incorporate functions like emotion detection via webcam and speech recognition to further assess users. The chatbot would be developed using machine learning algorithms to have natural conversations and improve over time based on user inputs.
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Akash Solanki worked as the first full-time UI/UX designer at IIIT-Bangalore from June 2019. Some of his projects included designing the 'e-Manas' mental health management system for Karnataka. He conducted user research like field visits and interviews to understand needs. His design process involved wireframing, prototyping, and getting feedback. He improved user experience and accessibility. The outcomes included increasing user satisfaction with the system and enabling it to support over 10,000 patients.
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The document describes an automated pharmacy system that uses various technologies to digitize healthcare services. It discusses using optical character recognition to scan prescriptions, electronic health records to store patient medical histories, a chatbot for virtual healthcare assistance, and Google Maps API and an online portal to order medications. The system aims to make healthcare more convenient by allowing users to access services without visiting medical facilities in person.
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With technology in reach of everyone and the technology sector in ascendance, it is central to investigate the relationship people have with their devices. We use the concept of agency to capture aspects of user’s sense of mastery and control in relation
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This document discusses artificial intelligence techniques used in RightNow Technologies' knowledge base product called RightNow eService Center (RNeSC). It describes how RNeSC uses various AI methods like collaborative filtering, natural language processing, and emotion detection to automatically organize and present information to users, generate responses, and require little ongoing administration. The document also outlines RightNow's goal of creating a self-maintaining "organic" customer service system and discusses future directions for incorporating additional AI into RNeSC.
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This document summarizes a research paper on developing a mobile chatbot using IBM Watson services to allow students to search for their exam scores. The chatbot uses Watson Assistant for natural language processing, a SQL database as a knowledge base to store score information, and text-to-speech and speech-to-text for input and output. It was built with Android Studio and Java to provide an intuitive mobile interface for users to interact with the chatbot.
IRJET - A Review Paper on Various Depression Analysing AlgorithmsIRJET Journal
This document discusses various machine learning algorithms that can detect depression from text, audio, video, and other data sources. It summarizes a research paper on algorithms for early depression detection. The paper describes how natural language processing and recurrent neural networks can analyze text-based conversations to identify keywords linked to depression. A chatbot is proposed that would ask users questions daily and use their answers to assess their depression levels over time and produce a report for therapists. This could help users open up more easily and receive treatment before depression worsens.
Akash Solanki worked as the first full-time UI/UX designer at IIIT-Bangalore from June 2019. Some of his projects included designing the 'e-Manas' mental health management system for Karnataka. He conducted user research like field visits and interviews to understand needs. His design process involved wireframing, prototyping, and getting feedback. He improved user experience and accessibility. The outcomes included increasing user satisfaction with the system and enabling it to support over 10,000 patients.
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The document provides an overview of the Mathwethwe Expert System project which aims to develop an expert system to preserve Botswana's indigenous knowledge through automating traditional healing processes. The objectives are to develop a policy to protect indigenous knowledge and create an expert system called Mathwethwe that can consult, diagnose, dispense and prepare medicine. A project team led by Dr. Masizana is assembled. Stakeholders include Ceskiri, traditional healers, and the community. The system will have features like search, question asking, and be available 24/7 with maintenance windows. Quality control strategies ensure accurate traditional knowledge is captured and the system is easy to understand across cultures.
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With technology in reach of everyone and the technology sector in ascendance, it is central to investigate the relationship people have with their devices. We use the concept of agency to capture aspects of user’s sense of mastery and control in relation
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IRJET - Mobile Chatbot for Information SearchIRJET Journal
This document summarizes a research paper on developing a mobile chatbot using IBM Watson services to allow students to search for their exam scores. The chatbot uses Watson Assistant for natural language processing, a SQL database as a knowledge base to store score information, and text-to-speech and speech-to-text for input and output. It was built with Android Studio and Java to provide an intuitive mobile interface for users to interact with the chatbot.
This document describes a proposed mental health assistant that would use LSTM (long short-term memory) and NLP (natural language processing) to engage in conversation with users, analyze their voice or text input to study their emotion, and provide solutions. It discusses related work on similar mental health chatbots and assistants. The proposed system would take input through either speech or text, use speech recognition and text mining to extract emotion, and provide recommendations to improve the user's mood based on the recognized emotion.
IRJET - Chat-Bot Utilization for Health ConsultancyIRJET Journal
1) The document proposes a chatbot system for health consultancy that can provide appropriate responses and suggestions to patients anytime.
2) It discusses how chatbots are classified as rule-based or AI-based and how AI-based chatbots are preferred as they can be trained for different domains and have more human-like conversations.
3) The proposed health chatbot system would analyze patients' information and medical history to provide basic medication suggestions for minor illnesses and health tips.
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This document discusses the development of a mental health chatbot system using machine learning. The proposed chatbot would provide mental health services through a chat feature, voice input options in multiple languages, and a mood recommendation tool. Natural language processing and neural networks would be used to train the chatbot to understand language and respond appropriately. The goal is to make affordable and accessible mental healthcare available to more people.
This document summarizes a survey paper on chatbots. It discusses how chatbots can be used to relieve stress in adolescents through continuous dialogue that provides positive information and guidance. The proposed "HappySoul" chatbot system would act as a virtual friend to help stressed adolescents express their negative feelings and release stress. The technology at the core of such chatbots is natural language processing, recurrent neural networks, and a client-server architecture with an Android GUI. Key applications of chatbots discussed include assisting dementia patients, helping insomniacs, allowing marginalized communities to provide feedback, and making medical diagnoses faster.
This document summarizes a survey paper on chatbots. It discusses how chatbots use natural language processing to understand user queries and generate responses in a conversational manner. The document outlines the methodology of the proposed chatbot, which uses a client-server architecture with an Android application as the front-end and a recurrent neural network on the server to process inputs and generate outputs. The chatbot is intended to help relieve stress and anxiety in adolescents through positive conversations.
Ameliorating Depression through Deep Learning Conversational Agent: A Novel A...IRJET Journal
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This document summarizes a research paper on developing an intelligent nutritionist chatbot using artificial intelligence. It discusses how chatbots can provide personalized diet and exercise recommendations as well as calculate BMI based on a user's input. The document also reviews related works on medical chatbots and recommender systems. It describes using context and knowledge integration to provide more accurate recommendations. The goal is to create a chatbot that can suggest effective diets tailored to an individual's health needs.
IRJET - Artificial Intelligence based Healthcare Chatbot SystemIRJET Journal
The document describes an artificial intelligence-based healthcare chatbot system. It discusses how chatbots can help address issues like a lack of doctors and potential mistakes by overworked doctors in India. The proposed chatbot system uses natural language processing and a database to diagnose illnesses and provide medical advice to patients. It can also search the internet if it does not have information in its own database. The system aims to improve healthcare efficiency and reduce death rates by providing medical assistance anytime.
This document describes a project report for a medical chatbot using recurrent neural networks. It was submitted to the Department of Computer Science and Information Technology at Kathmandu Bernhardt College by Karina Shakya. The report includes an acknowledgements section, abstract, list of abbreviations, list of figures, and the beginning of chapter 1 on introduction. Chapter 1 provides an overview of the project, including the problem statement, objectives, scope, limitations, and development methodology.
The document discusses AI-based healthcare chatbots and their advantages and limitations. It provides examples of existing chatbots like Youper, Babylon Health, Woebot, and Safedrugbot that provide various healthcare services like monitoring symptoms of depression/anxiety, providing medical consultations, mental health support, and drug safety information. The key advantages of AI healthcare chatbots are that they can provide 24/7 service, personalized care, have low costs, and quick responses. However, limitations include potential inaccuracies in responses, inability to fully diagnose medical conditions, and lack of human empathy in interactions.
HealthCare ChatBot Using Machine LearningIRJET Journal
This document discusses the development of a healthcare chatbot using machine learning. Key points:
1. The chatbot will use machine learning algorithms to understand patient symptoms from conversations in their native language and provide medical advice and health monitoring.
2. Deep learning models like BERT and SQLOVA will be used to train the chatbot's data collection and natural language processing abilities.
3. The proposed system aims to address issues with current healthcare platforms like long wait times for responses from doctors by providing timely answers to common patient questions through the chatbot.
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.
The document describes a proposed voice recognition-based medical assistant system. It would use artificial intelligence techniques like machine learning and natural language processing to diagnose diseases, provide medical advice to patients, and assist doctors. The system would analyze patient data using machine learning algorithms to predict disease risk. It would include a voice-based conversational agent to answer patient questions and a system for virtual consultations between doctors and patients. The goal is to improve healthcare through more personalized, efficient and accurate diagnosis and treatment using these voice and AI-based technologies.
Investigating Assisting Mental Health Condition using Sentiment Analysis thro...IRJET Journal
This document presents a proposed Android application to assist those with mental health conditions using sentiment analysis through natural language processing (NLP). The application would allow users to sign up, take personality tests, track their mental state by writing daily thoughts in a diary with machine learning used to predict mood, chat with other users and mental health professionals, and have one-on-one video conversations with professionals. The goal is to provide accessible remote mental health support for all, as seeking treatment remains stigmatized in some societies and remote areas lack facilities. The proposed system uses technologies like NLP, machine learning, chatbots and video calls to analyze language and facilitate communication within the application.
Conversational AI Powered Chatbot Using Lex and AWSijtsrd
Artificial intelligence based application for their treatment. Thus, telehealth will rapidly and radically transform in person care to remote consultation of patients. Because of this, it developed a Multilingual Conversational Bot based on Natural Language Processing NLP to provide free primary healthcare education, information, advice to chronic patients. The study introduces a novel computer application acting as a personal virtual doctor that has been opportunely designed and extensively trained to interact with patients like human beings. This application is related to a server less architecture and it aggregates the services of a doctor by providing preventive measures, home remedies, interactive counseling sessions, healthcare tips, and symptoms covering the most prevalent diseases in rural India. The paper proposes a conversational bot for delivering telehealth in India to increase the patients access to healthcare knowledge and leverage of artificial intelligence to bridge the gap of demand and supply of human healthcare providers. This AI application has resulted in reducing the barriers for access to healthcare facilities and intelligent consultations remotely to allow time to time care and quality treatment, thereby effectively assisting the society. Pradyumna Saini | Mohd Tajammul "Conversational AI Powered Chatbot Using Lex and AWS" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-3 , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49722.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/49722/conversational-ai-powered-chatbot-using-lex-and-aws/pradyumna-saini
MEDICAL CHATBOT FOR PERINATAL WOMEN USING MACHINE LEARNINGIRJET Journal
This document describes the development of a medical chatbot to provide assistance to perinatal women. The chatbot was created using machine learning and natural language processing to allow women to discuss their symptoms and receive treatment recommendations. It analyzes patient data to predict risk levels during pregnancy for various physiological metrics. The chatbot implementation includes modules for user registration and login, fetal status prediction using a trained machine learning model, and an interface for perinatal women to ask questions and receive responses. The goal is to make medical assistance more accessible for pregnant women. An evaluation found that the chatbot could successfully predict fetal health status and engage in conversational exchanges about medical issues.
A Thorough review on Med Bot using Deep LearningIRJET Journal
This document provides a literature review on medical chatbots using deep learning. It begins with an abstract discussing the importance of health and increasing illness rates. Section 1 introduces remote diagnosis and previous work on disease prediction and medical chatbots. Section 2 summarizes related works on botnet detection, occupational health chatbots, personality typing chatbots, response selection models, multi-platform chatbot frameworks, medical assistant chatbots, question answering systems, response generation models, knowledge graph chatbots, educational chatbots, intent classification with video, chatbot management processes, e-learning chatbots, and product information chatbots. The conclusion discusses building on past efforts for medical chatbot deployments.
MediBot: A Primary Telemedicine Approach for Basic AilmentsIRJET Journal
This document describes a medical chatbot called MediBot that can provide basic medical advice and recommendations for minor ailments. MediBot uses natural language processing and text or voice inputs to understand patients' symptoms and determine an appropriate diagnosis. It then provides audio and visual outputs to inform patients about their condition and recommend home treatments or medicines. The goal is to give patients access to basic medical guidance without needing to visit a doctor in person. The document outlines how MediBot was developed using Python programming and discusses its potential to improve healthcare access, especially in rural areas where medical services are limited.
AI is more advanced and may be used for patients when implemented with healthcare chatbots. Using machine learning algorithms, chatbots become adaptive, their prospective applications are improved, and their value to patients increases.
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
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The document describes an artificial intelligence-based healthcare chatbot system. It discusses how chatbots can help address issues like a lack of doctors and potential mistakes by overworked doctors in India. The proposed chatbot system uses natural language processing and a database to diagnose illnesses and provide medical advice to patients. It can also search the internet if it does not have information in its own database. The system aims to improve healthcare efficiency and reduce death rates by providing medical assistance anytime.
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This document discusses the development of a healthcare chatbot using machine learning. Key points:
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3. The proposed system aims to address issues with current healthcare platforms like long wait times for responses from doctors by providing timely answers to common patient questions through the chatbot.
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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.
Applications of artificial Intelligence in Mechanical Engineering.pdfAtif Razi
Historically, mechanical engineering has relied heavily on human expertise and empirical methods to solve complex problems. With the introduction of computer-aided design (CAD) and finite element analysis (FEA), the field took its first steps towards digitization. These tools allowed engineers to simulate and analyze mechanical systems with greater accuracy and efficiency. However, the sheer volume of data generated by modern engineering systems and the increasing complexity of these systems have necessitated more advanced analytical tools, paving the way for AI.
AI offers the capability to process vast amounts of data, identify patterns, and make predictions with a level of speed and accuracy unattainable by traditional methods. This has profound implications for mechanical engineering, enabling more efficient design processes, predictive maintenance strategies, and optimized manufacturing operations. AI-driven tools can learn from historical data, adapt to new information, and continuously improve their performance, making them invaluable in tackling the multifaceted challenges of modern mechanical engineering.
Prediction of Electrical Energy Efficiency Using Information on Consumer's Ac...PriyankaKilaniya
Energy efficiency has been important since the latter part of the last century. The main object of this survey is to determine the energy efficiency knowledge among consumers. Two separate districts in Bangladesh are selected to conduct the survey on households and showrooms about the energy and seller also. The survey uses the data to find some regression equations from which it is easy to predict energy efficiency knowledge. The data is analyzed and calculated based on five important criteria. The initial target was to find some factors that help predict a person's energy efficiency knowledge. From the survey, it is found that the energy efficiency awareness among the people of our country is very low. Relationships between household energy use behaviors are estimated using a unique dataset of about 40 households and 20 showrooms in Bangladesh's Chapainawabganj and Bagerhat districts. Knowledge of energy consumption and energy efficiency technology options is found to be associated with household use of energy conservation practices. Household characteristics also influence household energy use behavior. Younger household cohorts are more likely to adopt energy-efficient technologies and energy conservation practices and place primary importance on energy saving for environmental reasons. Education also influences attitudes toward energy conservation in Bangladesh. Low-education households indicate they primarily save electricity for the environment while high-education households indicate they are motivated by environmental concerns.
Home security is of paramount importance in today's world, where we rely more on technology, home
security is crucial. Using technology to make homes safer and easier to control from anywhere is
important. Home security is important for the occupant’s safety. In this paper, we came up with a low cost,
AI based model home security system. The system has a user-friendly interface, allowing users to start
model training and face detection with simple keyboard commands. Our goal is to introduce an innovative
home security system using facial recognition technology. Unlike traditional systems, this system trains
and saves images of friends and family members. The system scans this folder to recognize familiar faces
and provides real-time monitoring. If an unfamiliar face is detected, it promptly sends an email alert,
ensuring a proactive response to potential security threats.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELijaia
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%.
Null Bangalore | Pentesters Approach to AWS IAMDivyanshu
#Abstract:
- Learn more about the real-world methods for auditing AWS IAM (Identity and Access Management) as a pentester. So let us proceed with a brief discussion of IAM as well as some typical misconfigurations and their potential exploits in order to reinforce the understanding of IAM security best practices.
- Gain actionable insights into AWS IAM policies and roles, using hands on approach.
#Prerequisites:
- Basic understanding of AWS services and architecture
- Familiarity with cloud security concepts
- Experience using the AWS Management Console or AWS CLI.
- For hands on lab create account on [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
# Scenario Covered:
- Basics of IAM in AWS
- Implementing IAM Policies with Least Privilege to Manage S3 Bucket
- Objective: Create an S3 bucket with least privilege IAM policy and validate access.
- Steps:
- Create S3 bucket.
- Attach least privilege policy to IAM user.
- Validate access.
- Exploiting IAM PassRole Misconfiguration
-Allows a user to pass a specific IAM role to an AWS service (ec2), typically used for service access delegation. Then exploit PassRole Misconfiguration granting unauthorized access to sensitive resources.
- Objective: Demonstrate how a PassRole misconfiguration can grant unauthorized access.
- Steps:
- Allow user to pass IAM role to EC2.
- Exploit misconfiguration for unauthorized access.
- Access sensitive resources.
- Exploiting IAM AssumeRole Misconfiguration with Overly Permissive Role
- An overly permissive IAM role configuration can lead to privilege escalation by creating a role with administrative privileges and allow a user to assume this role.
- Objective: Show how overly permissive IAM roles can lead to privilege escalation.
- Steps:
- Create role with administrative privileges.
- Allow user to assume the role.
- Perform administrative actions.
- Differentiation between PassRole vs AssumeRole
Try at [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
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.
Height and depth gauge linear metrology.pdfq30122000
Height gauges may also be used to measure the height of an object by using the underside of the scriber as the datum. The datum may be permanently fixed or the height gauge may have provision to adjust the scale, this is done by sliding the scale vertically along the body of the height gauge by turning a fine feed screw at the top of the gauge; then with the scriber set to the same level as the base, the scale can be matched to it. This adjustment allows different scribers or probes to be used, as well as adjusting for any errors in a damaged or resharpened probe.
Accident detection system project report.pdfKamal Acharya
The Rapid growth of technology and infrastructure has made our lives easier. The
advent of technology has also increased the traffic hazards and the road accidents take place
frequently which causes huge loss of life and property because of the poor emergency facilities.
Many lives could have been saved if emergency service could get accident information and
reach in time. Our project will provide an optimum solution to this draw back. A piezo electric
sensor can be used as a crash or rollover detector of the vehicle during and after a crash. With
signals from a piezo electric sensor, a severe accident can be recognized. According to this
project when a vehicle meets with an accident immediately piezo electric sensor will detect the
signal or if a car rolls over. Then with the help of GSM module and GPS module, the location
will be sent to the emergency contact. Then after conforming the location necessary action will
be taken. If the person meets with a small accident or if there is no serious threat to anyone’s
life, then the alert message can be terminated by the driver by a switch provided in order to
avoid wasting the valuable time of the medical rescue team.