This document proposes an intelligent home monitoring system using Internet of Things (IoT) technology to help physically challenged and elderly people. The system uses a Raspberry Pi microcontroller connected to sensors like a PIR motion sensor, gas leakage sensor, and Bluetooth module for voice control. It allows users to remotely monitor and control home devices like lights and appliances via an app. The system is low-cost, easy to use, improves safety and independence for users.
In this paper, we provide the solution for physically challenged people like hearing impaired people .It is a
smart application works for the hearing impaired people. People with hearing loss have move through the
activities of daily living at home, at work and in business situations. People may face the difficulty in hearing
the environment sounds and identifying the sounds. Our main contribution for the hearing impaired people is
to make them understand the type of sounds which is useful to them. The conventional sound recognition
techniques are not directly applicable since the background noise and reverberations are high which leads to
low performance. A deep neural network which is capable of classifying and predicting the information from
unstructured data such as image, text or sounds that makes the machine to get the environmental sounds. In
this paper, a deep learning algorithm called CNN(convolution neural network) which classify the sound audio
clips. This model will results the accuracy of 80% which is higher than the conventional technique .It achieves
good results comparable to other approaches.
deep learning; convolution neural network; feature extraction; sound recognition; sound event
classification.
Our future battle field system will have more difficulties to maintain security, because of increasing military competitive. Ability to understand, predict and adopt the vast array of inter-networked things is very difficult. Unwanted fire, unauthorized human intervention and other object movement will play major important role for affecting military environment. This project aims to help our future military environment by introducing new technology LoRaWAN in IoT (Internet of Things). LoRaWAN (Long Range Wide Area Network) is a state -of- art commercial of the self (COTS) technology. This project consist of sensors, embedded microcontrollers equipped with LoRaWAN, embedded processors equipped with LoRaWAN and cloud technology. By introducing this new technology in our future military environment we can easily find out criminal activities and fire hazards.
Flooding is considered one of the most devastating natural disasters in the world. In countries like India with
climatic conditions occurrence of heavy rain fall and subsequent discharge of water leads to Flood. Flooding
creates major damages to life , their habitats and the economy By installing of flood alerting systems near
major waterways vital information can be provide so that lives and property can be protected. Normal Weather
monitoring and alerting systems are not quick and accurate enough to predict floods in time to prevent personal or
environmental damages. The government has to spend tons of money in flood mitigation plans to help the victims
and also to reduce the number in the long run damages that can occur after flooding. Since Most of the flood alerting
systems involves high cost they are deployed on select locations based on priority.In this project we make use of a
cost effective system using raspberry pi board and sensors, to measure flood flow rate and rise of water level in
revvers and water bodies and alert government authorities and people instantly by transmitting information using
IOT. In the present work we have used thingspeak-IOT platform . The data can be accessed from android smart
phones using thingsView mobile application at any time from anywhere in the world.
In this paper, we provide the solution for physically challenged people like hearing impaired people .It is a
smart application works for the hearing impaired people. People with hearing loss have move through the
activities of daily living at home, at work and in business situations. People may face the difficulty in hearing
the environment sounds and identifying the sounds. Our main contribution for the hearing impaired people is
to make them understand the type of sounds which is useful to them. The conventional sound recognition
techniques are not directly applicable since the background noise and reverberations are high which leads to
low performance. A deep neural network which is capable of classifying and predicting the information from
unstructured data such as image, text or sounds that makes the machine to get the environmental sounds. In
this paper, a deep learning algorithm called CNN(convolution neural network) which classify the sound audio
clips. This model will results the accuracy of 80% which is higher than the conventional technique .It achieves
good results comparable to other approaches.
deep learning; convolution neural network; feature extraction; sound recognition; sound event
classification.
Our future battle field system will have more difficulties to maintain security, because of increasing military competitive. Ability to understand, predict and adopt the vast array of inter-networked things is very difficult. Unwanted fire, unauthorized human intervention and other object movement will play major important role for affecting military environment. This project aims to help our future military environment by introducing new technology LoRaWAN in IoT (Internet of Things). LoRaWAN (Long Range Wide Area Network) is a state -of- art commercial of the self (COTS) technology. This project consist of sensors, embedded microcontrollers equipped with LoRaWAN, embedded processors equipped with LoRaWAN and cloud technology. By introducing this new technology in our future military environment we can easily find out criminal activities and fire hazards.
Flooding is considered one of the most devastating natural disasters in the world. In countries like India with
climatic conditions occurrence of heavy rain fall and subsequent discharge of water leads to Flood. Flooding
creates major damages to life , their habitats and the economy By installing of flood alerting systems near
major waterways vital information can be provide so that lives and property can be protected. Normal Weather
monitoring and alerting systems are not quick and accurate enough to predict floods in time to prevent personal or
environmental damages. The government has to spend tons of money in flood mitigation plans to help the victims
and also to reduce the number in the long run damages that can occur after flooding. Since Most of the flood alerting
systems involves high cost they are deployed on select locations based on priority.In this project we make use of a
cost effective system using raspberry pi board and sensors, to measure flood flow rate and rise of water level in
revvers and water bodies and alert government authorities and people instantly by transmitting information using
IOT. In the present work we have used thingspeak-IOT platform . The data can be accessed from android smart
phones using thingsView mobile application at any time from anywhere in the world.
IOT based Automatic Colour Sorting Machinevivatechijri
In our day - to - day life we use wide range of products .The manufacturing and production of these
products are done in many small scale and large scale industries. Arranging products manually make quality
consistent issue. Nowadays, After manufacturing and production of the products the main difficulties are faced is
the sorting of products. Arranging of products in an industry is a poor modern process, which is largely done
physically. The machine which is consistent and sort products according to their size, colour, shape and weight
etc. are needed in industry which helps in consuming time and human interactions. This paper gives a brief
information about how products are sorted according to their containers respectively.
Wildlife entering in to populated areas has
recently become very Popular. The space for wild
animals is decreasing as humans are encroaching
forests. It creates great loss to property and life
when wild animals enter in to cities. We use latest
advances in technology such as Internet of Things
(IoT) to create an alert system of possible wildlife
leaving the forest and also the message will send to
the users Mobile to alert them. We use low cost
motion detectors and Passive Infrared sensors to
achieve this. We relay information of such motion
to a control centre to take further actions. We also
include making loud noise through speakers in
which the animals cannot enter in to land. The
basic idea of IoT is to connect different sensors
and establish communication and also provide
services. In this article, we make use of several IoT
devices at the periphery of natural reserve to
create an alert system. This system can also be
used to find out smugglers and other people
illegally entering in to the forest.
Arduino Based Smart Light Management System for Smart Citiesijtsrd
Automatic gismo system mistreatment Arduino and PIR Passive Infrared device will be wont to activate and OFF the lighting system of home mechanically by detective work the presence of human. this technique will be employed in garages, classrooms, staircases, bathrooms, etc. wherever theres no would like of continuous lightweight however only if theres somebodys. Also, theres no got to worry concerning electricity bills because the lights get OFF once theres no human and thus one got to pay the bills as per use. This paper projected as concerning automatic gismo system that mechanically management the area lights mistreatment Arduino and PIR device. the most elements employed in this technique square measure Arduino Uno, PIR device and Relay Module. Out of those elements, the operation of system chiefly depends on PIR device that helps in detective work human presence. Experimental results show that a minimum of five hundredth of power will be saved by mistreatment the projected system. Gopinath. V | Arunkumar .V | Bhavan. S | Aswin. M. D | Kishorekumar. A "Arduino Based Smart Light Management System for Smart Cities" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-4 , June 2020, URL: https://www.ijtsrd.com/papers/ijtsrd31350.pdf Paper Url :https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/31350/arduino-based-smart-light-management-system-for-smart-cities/gopinath-v
The current paper is mainly about maintaining a secure
environment and also free from thefts that are happening
in our home. The present paper discusses about the
detection of intruders with the help of the various
devices and software.. OpenCV(open source computer
vision) is the major software that is being used in our
present work. For detecting faces we are using various
algorithms like Haar cascade, linear SVM, deep neural
network etc. The main method that we have proposed in
our work is, if any person comes in front of the pi
camera, first it will look for potential matches that we
have already stored in our system If the module finds a
match then it continues to record until any intruder
comes. If the face is not recognized then the unknown
person’s face will be captured and a snap shot will be
sent to the user’s email. The device is developed using
Raspberry Pi b+ with 1.4 GHz quad core processor,
raspberry pi camera module and a Wireless dongle to
communicate with user’s email.
OpenCV, Rassberry pi, python
IOT based Automatic Colour Sorting Machinevivatechijri
In our day - to - day life we use wide range of products .The manufacturing and production of these
products are done in many small scale and large scale industries. Arranging products manually make quality
consistent issue. Nowadays, After manufacturing and production of the products the main difficulties are faced is
the sorting of products. Arranging of products in an industry is a poor modern process, which is largely done
physically. The machine which is consistent and sort products according to their size, colour, shape and weight
etc. are needed in industry which helps in consuming time and human interactions. This paper gives a brief
information about how products are sorted according to their containers respectively.
Wildlife entering in to populated areas has
recently become very Popular. The space for wild
animals is decreasing as humans are encroaching
forests. It creates great loss to property and life
when wild animals enter in to cities. We use latest
advances in technology such as Internet of Things
(IoT) to create an alert system of possible wildlife
leaving the forest and also the message will send to
the users Mobile to alert them. We use low cost
motion detectors and Passive Infrared sensors to
achieve this. We relay information of such motion
to a control centre to take further actions. We also
include making loud noise through speakers in
which the animals cannot enter in to land. The
basic idea of IoT is to connect different sensors
and establish communication and also provide
services. In this article, we make use of several IoT
devices at the periphery of natural reserve to
create an alert system. This system can also be
used to find out smugglers and other people
illegally entering in to the forest.
Arduino Based Smart Light Management System for Smart Citiesijtsrd
Automatic gismo system mistreatment Arduino and PIR Passive Infrared device will be wont to activate and OFF the lighting system of home mechanically by detective work the presence of human. this technique will be employed in garages, classrooms, staircases, bathrooms, etc. wherever theres no would like of continuous lightweight however only if theres somebodys. Also, theres no got to worry concerning electricity bills because the lights get OFF once theres no human and thus one got to pay the bills as per use. This paper projected as concerning automatic gismo system that mechanically management the area lights mistreatment Arduino and PIR device. the most elements employed in this technique square measure Arduino Uno, PIR device and Relay Module. Out of those elements, the operation of system chiefly depends on PIR device that helps in detective work human presence. Experimental results show that a minimum of five hundredth of power will be saved by mistreatment the projected system. Gopinath. V | Arunkumar .V | Bhavan. S | Aswin. M. D | Kishorekumar. A "Arduino Based Smart Light Management System for Smart Cities" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-4 , June 2020, URL: https://www.ijtsrd.com/papers/ijtsrd31350.pdf Paper Url :https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/31350/arduino-based-smart-light-management-system-for-smart-cities/gopinath-v
The current paper is mainly about maintaining a secure
environment and also free from thefts that are happening
in our home. The present paper discusses about the
detection of intruders with the help of the various
devices and software.. OpenCV(open source computer
vision) is the major software that is being used in our
present work. For detecting faces we are using various
algorithms like Haar cascade, linear SVM, deep neural
network etc. The main method that we have proposed in
our work is, if any person comes in front of the pi
camera, first it will look for potential matches that we
have already stored in our system If the module finds a
match then it continues to record until any intruder
comes. If the face is not recognized then the unknown
person’s face will be captured and a snap shot will be
sent to the user’s email. The device is developed using
Raspberry Pi b+ with 1.4 GHz quad core processor,
raspberry pi camera module and a Wireless dongle to
communicate with user’s email.
OpenCV, Rassberry pi, python
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Automobile Management System Project Report.pdfKamal Acharya
The proposed project is developed to manage the automobile in the automobile dealer company. The main module in this project is login, automobile management, customer management, sales, complaints and reports. The first module is the login. The automobile showroom owner should login to the project for usage. The username and password are verified and if it is correct, next form opens. If the username and password are not correct, it shows the error message.
When a customer search for a automobile, if the automobile is available, they will be taken to a page that shows the details of the automobile including automobile name, automobile ID, quantity, price etc. “Automobile Management System” is useful for maintaining automobiles, customers effectively and hence helps for establishing good relation between customer and automobile organization. It contains various customized modules for effectively maintaining automobiles and stock information accurately and safely.
When the automobile is sold to the customer, stock will be reduced automatically. When a new purchase is made, stock will be increased automatically. While selecting automobiles for sale, the proposed software will automatically check for total number of available stock of that particular item, if the total stock of that particular item is less than 5, software will notify the user to purchase the particular item.
Also when the user tries to sale items which are not in stock, the system will prompt the user that the stock is not enough. Customers of this system can search for a automobile; can purchase a automobile easily by selecting fast. On the other hand the stock of automobiles can be maintained perfectly by the automobile shop manager overcoming the drawbacks of existing system.
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Courier management system project report.pdfKamal Acharya
It is now-a-days very important for the people to send or receive articles like imported furniture, electronic items, gifts, business goods and the like. People depend vastly on different transport systems which mostly use the manual way of receiving and delivering the articles. There is no way to track the articles till they are received and there is no way to let the customer know what happened in transit, once he booked some articles. In such a situation, we need a system which completely computerizes the cargo activities including time to time tracking of the articles sent. This need is fulfilled by Courier Management System software which is online software for the cargo management people that enables them to receive the goods from a source and send them to a required destination and track their status from time to time.
Democratizing Fuzzing at Scale by Abhishek Aryaabh.arya
Presented at NUS: Fuzzing and Software Security Summer School 2024
This keynote talks about the democratization of fuzzing at scale, highlighting the collaboration between open source communities, academia, and industry to advance the field of fuzzing. It delves into the history of fuzzing, the development of scalable fuzzing platforms, and the empowerment of community-driven research. The talk will further discuss recent advancements leveraging AI/ML and offer insights into the future evolution of the fuzzing landscape.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Quality defects in TMT Bars, Possible causes and Potential Solutions.PrashantGoswami42
Maintaining high-quality standards in the production of TMT bars is crucial for ensuring structural integrity in construction. Addressing common defects through careful monitoring, standardized processes, and advanced technology can significantly improve the quality of TMT bars. Continuous training and adherence to quality control measures will also play a pivotal role in minimizing these defects.
Event Management System Vb Net Project Report.pdfKamal Acharya
In present era, the scopes of information technology growing with a very fast .We do not see any are untouched from this industry. The scope of information technology has become wider includes: Business and industry. Household Business, Communication, Education, Entertainment, Science, Medicine, Engineering, Distance Learning, Weather Forecasting. Carrier Searching and so on.
My project named “Event Management System” is software that store and maintained all events coordinated in college. It also helpful to print related reports. My project will help to record the events coordinated by faculties with their Name, Event subject, date & details in an efficient & effective ways.
In my system we have to make a system by which a user can record all events coordinated by a particular faculty. In our proposed system some more featured are added which differs it from the existing system such as security.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.