This document provides an overview of sensors for an Internet of Everything course. It defines what a sensor is and discusses different types of sensors including temperature, proximity, accelerometer, infrared, pressure, light, ultrasonic, smoke, gas, alcohol, touch, color, humidity, position, magnetic, microphone, tilt, flow, level, PIR and touch sensors. It also classifies sensors as active vs passive and by means of detection. An architecture for a single node sensor is presented including a microcontroller, communication device and transceiver. Real-time applications of sensors in aircraft autopilot systems are described.
Wireless Sensor Networks lecture presented in the Fall of 2005. Covering the following: data-dissemination schemes, media access control schemes, distributed algorithms for collaborative processing, and architecture for a wireless sensor network.
INTRODUCTION TO WIRELESS SENSOR NETWORKS.
This powerpoint generally defines Wireless Sensor Networks, the advantages, disadvantages and the general types.
Data acquisition and storage in Wireless Sensor NetworkRutvik Pensionwar
1. Introduce to Wireless Sensor Network and various data retrieval techniques.
2. Present different algorithms used in Wireless Sensor Network to achieve efficiency and manage power effectively.
Wireless Sensor Networks lecture presented in the Fall of 2005. Covering the following: data-dissemination schemes, media access control schemes, distributed algorithms for collaborative processing, and architecture for a wireless sensor network.
INTRODUCTION TO WIRELESS SENSOR NETWORKS.
This powerpoint generally defines Wireless Sensor Networks, the advantages, disadvantages and the general types.
Data acquisition and storage in Wireless Sensor NetworkRutvik Pensionwar
1. Introduce to Wireless Sensor Network and various data retrieval techniques.
2. Present different algorithms used in Wireless Sensor Network to achieve efficiency and manage power effectively.
Design Issues and Applications of Wireless Sensor Networkijtsrd
Efficient design and implementation of wireless sensor networks has become a hot area of research in recent years, due to the vast potential of sensor networks to enable applications that connect the physical world to the virtual world. By networking large numbers of tiny sensor nodes, it is possible to obtain data about physical phenomena that was difficult or impossible to obtain in more conventional ways. In future as advances in micro-fabrication technology allow the cost of manufacturing sensor nodes to continue to drop, increasing deployments of wireless sensor networks are expected, with the networks eventually growing to large numbers of nodes.Potential applications for such large-scale wireless sensor networks exist in a variety of fields, including medical monitoring, environmental monitoring, surveillance, home security, military operations, and industrial machine monitoring etc. G. Swarnalatha | R. Srilalitha"Design Issues and Applications of Wireless Sensor Network" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-6 , October 2017, URL: http://www.ijtsrd.com/papers/ijtsrd4688.pdf http://www.ijtsrd.com/engineering/computer-engineering/4688/design-issues-and-applications-of-wireless-sensor-network/g-swarnalatha
in this paper authors made the study of basic clustering algorithm Leach. A comparison is made between Leach and Leach.wireless sensor network advantages, and wireless sensor network dataset
Wireless sensor network is emerging field because of its wide applications. It is a wireless network which subsist a group of small sensor nodes which communicate through radio interface. These sensor nodes are composed of sensing, computation, communication and power as four basic elements. Many routing, power management, and data dissemination protocols have been specifically designed for WSNs where energy awareness is an essential design issue. But limited energy, communication capability, storage and bandwidth are the main resource constraints. The network should have self-organizing capabilities as the positions of individual nodes are not predetermined. The flexibility, fault tolerance, high sensing fidelity, low cost, and rapid deployment characteristics of sensor networks create many new and exciting application areas for remote sensing. Our survey is based on various aspects of routing protocols in wireless sensor networks.
Design Issues and Challenges in Wireless Sensor NetworksKhushbooGupta145
Wireless Sensor Networks (WSNs) are composed self-organized wireless ad hoc networks which comprise of a large number of resource constrained sensor nodes. The major areas of research in WSN is going on hardware, and operating system of WSN, deployment, architecture, localization, synchronization, programming models, data aggregation and dissemination, database querying, architecture, middleware, quality of service and security. This paper study highlights ongoing research activities and issues that affect the design and performance of Wireless Sensor Network.
Wireless Mesh Networking - A development patheveryunitone
A brief introduction in applying wireless mesh networking to the geotechnical industry. Presented at the Field Measurements in Geomechanics symposium, Boston, MA in 2007.
[Apologies for the malformed animations]
Design Issues and Applications of Wireless Sensor Networkijtsrd
Efficient design and implementation of wireless sensor networks has become a hot area of research in recent years, due to the vast potential of sensor networks to enable applications that connect the physical world to the virtual world. By networking large numbers of tiny sensor nodes, it is possible to obtain data about physical phenomena that was difficult or impossible to obtain in more conventional ways. In future as advances in micro-fabrication technology allow the cost of manufacturing sensor nodes to continue to drop, increasing deployments of wireless sensor networks are expected, with the networks eventually growing to large numbers of nodes.Potential applications for such large-scale wireless sensor networks exist in a variety of fields, including medical monitoring, environmental monitoring, surveillance, home security, military operations, and industrial machine monitoring etc. G. Swarnalatha | R. Srilalitha"Design Issues and Applications of Wireless Sensor Network" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-6 , October 2017, URL: http://www.ijtsrd.com/papers/ijtsrd4688.pdf http://www.ijtsrd.com/engineering/computer-engineering/4688/design-issues-and-applications-of-wireless-sensor-network/g-swarnalatha
in this paper authors made the study of basic clustering algorithm Leach. A comparison is made between Leach and Leach.wireless sensor network advantages, and wireless sensor network dataset
Wireless sensor network is emerging field because of its wide applications. It is a wireless network which subsist a group of small sensor nodes which communicate through radio interface. These sensor nodes are composed of sensing, computation, communication and power as four basic elements. Many routing, power management, and data dissemination protocols have been specifically designed for WSNs where energy awareness is an essential design issue. But limited energy, communication capability, storage and bandwidth are the main resource constraints. The network should have self-organizing capabilities as the positions of individual nodes are not predetermined. The flexibility, fault tolerance, high sensing fidelity, low cost, and rapid deployment characteristics of sensor networks create many new and exciting application areas for remote sensing. Our survey is based on various aspects of routing protocols in wireless sensor networks.
Design Issues and Challenges in Wireless Sensor NetworksKhushbooGupta145
Wireless Sensor Networks (WSNs) are composed self-organized wireless ad hoc networks which comprise of a large number of resource constrained sensor nodes. The major areas of research in WSN is going on hardware, and operating system of WSN, deployment, architecture, localization, synchronization, programming models, data aggregation and dissemination, database querying, architecture, middleware, quality of service and security. This paper study highlights ongoing research activities and issues that affect the design and performance of Wireless Sensor Network.
Wireless Mesh Networking - A development patheveryunitone
A brief introduction in applying wireless mesh networking to the geotechnical industry. Presented at the Field Measurements in Geomechanics symposium, Boston, MA in 2007.
[Apologies for the malformed animations]
This Presentation provides some basics of Sensors Technology.........
It gives few ideas to learn about sensors which are as normally used as electrical & electronics applications.......
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.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
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.
TECHNICAL TRAINING MANUAL GENERAL FAMILIARIZATION COURSEDuvanRamosGarzon1
AIRCRAFT GENERAL
The Single Aisle is the most advanced family aircraft in service today, with fly-by-wire flight controls.
The A318, A319, A320 and A321 are twin-engine subsonic medium range aircraft.
The family offers a choice of engines
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.
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
4. What is a Sensor?
• In the broadest definition, a sensor is a device, module,
machine, or subsystem that detects events or changes in
its environment and sends the information to other
electronics, frequently a computer processor.
• Sensors are always used with other electronics.
5. What is a Sensor?
• There are numerous definitions as to what a sensor is
but I would like to define a Sensor as an input device
which provides an output (signal) with respect to a
specific physical quantity (input).
• The term “input device” in the definition of a Sensor
means that it is part of a bigger system which provides
input to a main control system (like a Processor or a
Microcontroller).
• Another unique definition of a Sensor is as follows: It is a
device that converts signals from one energy domain to
electrical domain.
7. Different Types of
Sensors
The following is a list of different types of sensors that are commonly used in various applications. All these
sensors are used for measuring one of the physical properties like Temperature, Resistance, Capacitance,
Conduction, Heat Transfer etc.
• Temperature Sensor
• Proximity Sensor
• Accelerometer
• IR Sensor (Infrared Sensor)
• Pressure Sensor
• Light Sensor
• Ultrasonic Sensor
• Smoke, Gas and Alcohol Sensor
• Touch Sensor
• Color Sensor
• Humidity Sensor
• Position Sensor
• Magnetic Sensor (Hall Effect Sensor)
• Microphone (Sound Sensor)
• Tilt Sensor
• Flow and Level Sensor
• PIR Sensor
• Touch Sensor
• Strain and Weight Sensor
9. Classification of Sensors
• In the first classification of the sensors, they are divided
in to Active and Passive. Active Sensors are those which
require an external excitation signal or a power signal.
• Passive Sensors, on the other hand, do not require any
external power signal and directly generates output
response.
• The other type of classification is based on the means of
detection used in the sensor. Some of the means of
detection are Electric, Biological, Chemical, Radioactive
etc.
10. Classification of Sensors
• The next classification is based on conversion
phenomenon i.e., the input and the output. Some of the
common conversion phenomena are Photoelectric,
Thermoelectric, Electrochemical, Electromagnetic,
Thermooptic, etc.
• The final classification of the sensors are Analog and
Digital Sensors. Analog Sensors produce an analog
output i.e., a continuous output signal (usually voltage
but sometimes other quantities like Resistance etc.) with
respect to the quantity being measured.
12. Controller
Main options:
Microcontroller – general purpose processor,
optimized for embedded applications, low
power consumption
DSP – optimized for signal processing tasks,
not suitable here
FPGA – may be good for testing
ASIC – only when peak performance is needed,
no flexibility
14. Transceiver
Characteristics
• Service to upper layer: packet, byte, bit
Power consumption
Supported frequency, multiple channels
Data rate
Modulation
Power control
Communication range
15. Transceiver States
• Transceiver States
Transceivers can be put into different
operational states, typically:
Transmit
Receive
Idle – ready to receive, but not doing so
Sleep – significant parts of the transceiver are
switched off
16. Real Time Application of
Sensors
• The example we are talking about here is the Autopilot
System in aircrafts. Almost all civilian and military
aircrafts have the feature of Automatic Flight Control
system or sometimes called as Autopilot.
17. Real Time Application of
Sensors
• An Automatic Flight Control System consists of several sensors for
various tasks like speed control, height monitoring, position tracking,
status of doors, obstacle detection, fuel level, maneuvering and
many more.
• A Computer takes data from all these sensors and processes them
by comparing them with pre-designed values.
• The computer then provides control signals to different parts like
engines, flaps, rudders, motors etc. that help in a smooth flight. The
combination of Sensors, Computers and Mechanics makes it
possible to run the plane in Autopilot Mode.
• All the parameters i.e., the Sensors (which give inputs to the
Computers), the Computers (the brains of the system) and the
mechanics (the outputs of the system like engines and motors) are
equally important in building a successful automated system.