This document describes an automated system to detect drowning incidents in swimming pools. The system uses differential pressure sensing to monitor pressure changes when someone enters the water. A pressure sensor worn on the wrist transmits data to a receiver module at the pool site via RF. When pressure exceeds a threshold, indicating the person is submerged, the receiver sounds an alarm and activates a motor to lift an acrylic plate and bring the person to the surface of the pool for safety. The system aims to detect drowning incidents earlier than human lifeguards to save lives.
Review of Natural Language Processing tasks and examples of why it is so hard. Then he describes in detail text categorization and particularly sentiment analysis. A few common approaches for predicting sentiment are discussed, going even further, explaining statistical machine learning algorithms.
Crime analysis mapping, intrusion detection using data miningVenkat Projects
Crime analysis mapping, intrusion detection using data mining
Data Mining plays a key role in Crime Analysis. There are many different algorithms mentioned in previous research papers, among them are the virtual identifier, pruning strategy, support vector machines, and apriori algorithms. VID is to find relation between record and vid. The apriori algorithm helps the fuzzy association rules algorithm and it takes around six hundred seconds to detect a mail bomb attack. In this research paper, we identified Crime mapping analysis based on KNN (K – Nearest Neighbor) and ANN (Artificial Neural Network) algorithms to simplify this process. Crime Mapping is conducted and Funded by the Office of Community Oriented Policing Services (COPS). Evidence based research helps in analyzing the crimes. We calculate the crime rate based on the previous data using data mining techniques. Crime Analysis uses quantitative and qualitative data in combination with analytic techniques in resolving the cases. For public safety purposes, the crime mapping is an essential research area to concentrate on. We can identity the most frequently crime occurring zones with the help of data mining techniques. In Crime Analysis Mapping, we follow the following steps in order to reduce the crime rate: 1) Collect crime data 2) Group data 3) Clustering 4) Forecasting the data. Crime Analysis with crime mapping helps in understanding the concepts and practice of Crime Analysis in assisting police and helps in reduction and prevention of crimes and crime disorders.
Review of Natural Language Processing tasks and examples of why it is so hard. Then he describes in detail text categorization and particularly sentiment analysis. A few common approaches for predicting sentiment are discussed, going even further, explaining statistical machine learning algorithms.
Crime analysis mapping, intrusion detection using data miningVenkat Projects
Crime analysis mapping, intrusion detection using data mining
Data Mining plays a key role in Crime Analysis. There are many different algorithms mentioned in previous research papers, among them are the virtual identifier, pruning strategy, support vector machines, and apriori algorithms. VID is to find relation between record and vid. The apriori algorithm helps the fuzzy association rules algorithm and it takes around six hundred seconds to detect a mail bomb attack. In this research paper, we identified Crime mapping analysis based on KNN (K – Nearest Neighbor) and ANN (Artificial Neural Network) algorithms to simplify this process. Crime Mapping is conducted and Funded by the Office of Community Oriented Policing Services (COPS). Evidence based research helps in analyzing the crimes. We calculate the crime rate based on the previous data using data mining techniques. Crime Analysis uses quantitative and qualitative data in combination with analytic techniques in resolving the cases. For public safety purposes, the crime mapping is an essential research area to concentrate on. We can identity the most frequently crime occurring zones with the help of data mining techniques. In Crime Analysis Mapping, we follow the following steps in order to reduce the crime rate: 1) Collect crime data 2) Group data 3) Clustering 4) Forecasting the data. Crime Analysis with crime mapping helps in understanding the concepts and practice of Crime Analysis in assisting police and helps in reduction and prevention of crimes and crime disorders.
MongoDB Atlas – der beste Weg, MongoDB in der Cloud zu betreiben 1MongoDB
MongoDB Atlas ist ein Database-as-a-Service-Angebot, mit dem Sie mit wenigen Mausklicks eine MongoDB-Datenbank in der Cloud einrichten, betreiben und skalieren können.
Embedded Systems (18EC62) – Embedded System Design Concepts (Module 4)Shrishail Bhat
Lecture Slides for Embedded Systems (18EC62) – Embedded System Design Concepts (Module 4) for VTU Students
Contents
Characteristics and Quality Attributes of Embedded Systems, Operational and non-operational quality attributes, Embedded Systems-Application and Domain specific, Hardware Software Co-Design and Program Modelling (excluding UML), Embedded firmware design and development (excluding C language).
Deep learning in healthcare: Oppotunities and challenges with Electronic Medi...Thien Q. Tran
Interested in deep learning for healthcare has grown strongly recent years besides with the successes in other domains such as Computer Vision, Natural Language Processing, Speech Recognition and so forth. This talk will try to give a brief look into the recent effort of research in deep learning for healthcare. Especially, this talk focuses on the opportunities and challenges in using electronic health records (EHR) data, which is one of the most important data sources in healthcare domain.
MongoDB Atlas – der beste Weg, MongoDB in der Cloud zu betreiben 1MongoDB
MongoDB Atlas ist ein Database-as-a-Service-Angebot, mit dem Sie mit wenigen Mausklicks eine MongoDB-Datenbank in der Cloud einrichten, betreiben und skalieren können.
Embedded Systems (18EC62) – Embedded System Design Concepts (Module 4)Shrishail Bhat
Lecture Slides for Embedded Systems (18EC62) – Embedded System Design Concepts (Module 4) for VTU Students
Contents
Characteristics and Quality Attributes of Embedded Systems, Operational and non-operational quality attributes, Embedded Systems-Application and Domain specific, Hardware Software Co-Design and Program Modelling (excluding UML), Embedded firmware design and development (excluding C language).
Deep learning in healthcare: Oppotunities and challenges with Electronic Medi...Thien Q. Tran
Interested in deep learning for healthcare has grown strongly recent years besides with the successes in other domains such as Computer Vision, Natural Language Processing, Speech Recognition and so forth. This talk will try to give a brief look into the recent effort of research in deep learning for healthcare. Especially, this talk focuses on the opportunities and challenges in using electronic health records (EHR) data, which is one of the most important data sources in healthcare domain.
An Early Drowning Detection System for Internet of Things (IoT) ApplicationsTELKOMNIKA JOURNAL
Drowning is the leading cause of injury or death for children and teenagers. Designing a drowning
detection device by implementing an Internet of Thing (IoT) is needed. An Early Drowning Detection
System (EDDS) is a system that gives an early alarm to the guardians (parents and lifeguard) if the
detector triggered an abnormal heartbeat and the victims are submerged under the water for a long time. A
microcontroller was used to control the signal received from a pulse sensor and time for the signal lost
under the water before it is transmitted to the access point. The access point acts as a data forwarding to
the database via an internet connection. Universal Asynchronous Receiver/Transmitter (UART) 433MHz
radio frequency transceiver has been used to create the wireless communication between drowning
detection device and monitoring hub. A triggered warning signal will be transmitted to the guardians via
Android apps and web page.
Flood disaster indicator of water level monitoring systemIJECEIAES
The early warning systems for flood management have been developed rapidly with the growth of technologies. These system help to alert people early with the used of Short Message Service (SMS) via Global System for Mobile Communications (GSM). This paper presents a simple, portable and low cost of early warning system using Arduino board, which is used to control the whole system and GSM shields to send the data. System has been designed and implemented based on two components which is hardware and software. The model determines the water level using float switch sensors, then it analyzes the collected data and determine the type of danger present. The detected level is translated into an alert message and sent to the user. The GSM network is used to connect the overall system units via SMS.
Wastage of water has been a
common phenomenon in several public locations
such as event centre, restaurants, malls, mosque,
churches, and also at home due to negligence of tap
user or due to sophisticated tap used that visitors
may not know how to operate, to curb wastage and
prevention of damage to the wash hand basin. A
solar-powered automatic wash hand basin system
was developed to cater for any challenges that may
arise. The solar-powered automatic wash hand
basin systemis a sensor-based system with constant
a supply of electricity that starts automatically
whenever anyone put his/her hand just below the
water tap outlet, which significantly reduces water
consumption to some extent and can as well
eliminate cross-contamination by keeping hands
and germs away from commonly-used surfaces
especially during this COVID-19 pandemic.This
system can help in automating the work of human
beings with great ease and without any difficulty
which will make the tap to last longer, reduce water
usage, and also guide against any form of germs or
diseases from cross-contamination.
Similar to Automated Drowning Detection and Security in Swimming Pool (20)
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
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.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
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.