1. Internet of Things - M2M to IoT
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The document discusses the results of a study on the impact of COVID-19 lockdowns on air pollution. Researchers analyzed satellite data from NASA and the European Space Agency and found that nitrogen dioxide levels decreased significantly during lockdown periods in major cities across the world as traffic and industrial activities reduced. Overall, the temporary improvements in air quality during widespread lockdowns highlight the human-caused nature of poor urban air pollution.
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3. M2M and IoT - Technology Fundamentals
Devices and gateways, Local and wide area networking, Data Management, Business processes in IoT, Everything as a Service(XaaS), M2M and IoT Analytics, Knowledge Management, Architecture Reference Model Introduction, Reference Model and architecture, IoT reference Model
4. Internet of Things - Reference Model and Architecture
Architecture Reference Model Introduction, Reference Model and architecture, IoT reference Model, Functional View, Information View, Deployment and Operational View, Real World Design Constraints- Introduction, Technical Design constraints, Data representation and visualization
2. Internet of Things - A Market Perspective
Introduction, Some Definitions, M2M Value Chains, IoT Value Chains,
An emerging industrial structure for IoT - The information-driven global value chain and global information monopolies.
M2M to IoT-An Architectural Overview– Building an architecture, Main design principles and needed capabilities, An IoT architecture outline, standards considerations
Unit 4
The document discusses various protocols and security aspects related to IoT. It provides details on protocols such as IEEE 802.15.4, BACnet, Modbus, KNX, Zigbee etc. It also outlines vulnerabilities in IoT like unauthorized access, information corruption, DoS attacks. Key elements of IoT security discussed are identity establishment, access control, data security, non-repudiation and availability. Security requirements and models for IoT are also mentioned.
IOT and Characteristics of IOT
The Internet of Things (IoT) is a network of physical objects embedded with electronics, software, and sensors that allows objects to connect and exchange data over the internet. IoT creates opportunities to remotely sense and control objects across networks, improving efficiency. Things in IoT include devices like heart monitors, farm animal tags, sensors in cars, and environmental sensors. These devices collect data using technologies and autonomously share it. IoT requires connectivity between things, intelligence to interpret sensor data, and scalability to handle increased connections.
IoT Enabling Technologies
This document discusses key enabling technologies for the Internet of Things (IoT). It describes wireless sensor networks that use distributed sensor nodes to monitor environmental conditions. It also discusses cloud computing which provides on-demand computing resources and services over the Internet. Additionally, it covers big data analytics which involves collecting, processing, and analyzing large, diverse datasets. Finally, it mentions communication protocols that allow devices to exchange data over networks and embedded systems which are specialized computer systems designed to perform specific tasks.
A Reference Architecture for IoT
The document presents an overview of Internet of Things (IoT) concepts and proposes a reference architecture for IoT. It discusses core IoT concerns like connectivity, device management, data handling and security. It describes common IoT device types like Arduino, Raspberry Pi and communication protocols like HTTP, MQTT, CoAP. The proposed reference architecture aims to provide a scalable and secure way to interact with billions of connected devices by addressing issues like management, data processing and disaster recovery. An example implementation of the architecture for an RFID attendance tracking system is also presented.
Cloud of things (IoT + Cloud Computing)
The document discusses the integration of Internet of Things (IoT) and cloud computing, referred to as Cloud of Things. It identifies several key issues with this integration, such as protocol support, energy efficiency, resource allocation, identity management, and security/privacy. Potential solutions are provided for some of the issues. The conclusion discusses the need for more study on the impact of these issues based on the specific IoT application and services provided.
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3. M2M and IoT - Technology Fundamentals
Devices and gateways, Local and wide area networking, Data Management, Business processes in IoT, Everything as a Service(XaaS), M2M and IoT Analytics, Knowledge Management, Architecture Reference Model Introduction, Reference Model and architecture, IoT reference Model
4. Internet of Things - Reference Model and Architecture
Architecture Reference Model Introduction, Reference Model and architecture, IoT reference Model, Functional View, Information View, Deployment and Operational View, Real World Design Constraints- Introduction, Technical Design constraints, Data representation and visualization
2. Internet of Things - A Market Perspective
Introduction, Some Definitions, M2M Value Chains, IoT Value Chains,
An emerging industrial structure for IoT - The information-driven global value chain and global information monopolies.
M2M to IoT-An Architectural Overview– Building an architecture, Main design principles and needed capabilities, An IoT architecture outline, standards considerations
Unit 4
The document discusses various protocols and security aspects related to IoT. It provides details on protocols such as IEEE 802.15.4, BACnet, Modbus, KNX, Zigbee etc. It also outlines vulnerabilities in IoT like unauthorized access, information corruption, DoS attacks. Key elements of IoT security discussed are identity establishment, access control, data security, non-repudiation and availability. Security requirements and models for IoT are also mentioned.
IOT and Characteristics of IOT
The Internet of Things (IoT) is a network of physical objects embedded with electronics, software, and sensors that allows objects to connect and exchange data over the internet. IoT creates opportunities to remotely sense and control objects across networks, improving efficiency. Things in IoT include devices like heart monitors, farm animal tags, sensors in cars, and environmental sensors. These devices collect data using technologies and autonomously share it. IoT requires connectivity between things, intelligence to interpret sensor data, and scalability to handle increased connections.
IoT Enabling Technologies
This document discusses key enabling technologies for the Internet of Things (IoT). It describes wireless sensor networks that use distributed sensor nodes to monitor environmental conditions. It also discusses cloud computing which provides on-demand computing resources and services over the Internet. Additionally, it covers big data analytics which involves collecting, processing, and analyzing large, diverse datasets. Finally, it mentions communication protocols that allow devices to exchange data over networks and embedded systems which are specialized computer systems designed to perform specific tasks.
A Reference Architecture for IoT
The document presents an overview of Internet of Things (IoT) concepts and proposes a reference architecture for IoT. It discusses core IoT concerns like connectivity, device management, data handling and security. It describes common IoT device types like Arduino, Raspberry Pi and communication protocols like HTTP, MQTT, CoAP. The proposed reference architecture aims to provide a scalable and secure way to interact with billions of connected devices by addressing issues like management, data processing and disaster recovery. An example implementation of the architecture for an RFID attendance tracking system is also presented.
Cloud of things (IoT + Cloud Computing)
The document discusses the integration of Internet of Things (IoT) and cloud computing, referred to as Cloud of Things. It identifies several key issues with this integration, such as protocol support, energy efficiency, resource allocation, identity management, and security/privacy. Potential solutions are provided for some of the issues. The conclusion discusses the need for more study on the impact of these issues based on the specific IoT application and services provided.
Applications of IOT (internet of things)
Smart homes are a top Internet of Things application, with over $2.5 billion in funding for startups creating connected home devices. Wearable devices are also popular, including smart watches and glasses that can be worn on the wrist or head. Smart cities use Internet of Things sensors to manage infrastructure like traffic and utilities more efficiently. The smart grid uses automated sensors and analytics to deliver power more reliably and reduce costs and emissions. Industrial Internet of Things aims to improve business operations through connected machinery and analytics.
RFID with INTERNET OF THINGS
This document discusses RFID and the Internet of Things (IoT). It describes RFID as an automatic identification technology that uses radio waves to identify objects. The IoT allows physical objects to be connected to the internet and be remotely monitored and controlled. The architecture of an IoT system generally has three layers - a perception layer to collect data from sensors and RFID tags, a network layer to transmit the information, and a service layer to process and analyze the data. RFID has applications in various fields including healthcare, transportation, and access control. Challenges to the wider adoption of RFID include collision problems, security issues, and high tag costs.
Protocols for IoT
This document provides a high-level overview of protocols for the Internet of Things (IoT). It discusses some of the key challenges for IoT including scalability, configurability, interoperability, discovery, and security. It then reviews several common IoT protocols, including HTTP, WebSockets, MQTT, CoAP, and mentions others like AMQP and XMPP. For each protocol, it summarizes their purpose, model (e.g. publish-subscribe vs client-server), efficiency considerations, and role in the protocol stack. It emphasizes that existing protocols like MQTT and CoAP are preferable to reinventing the wheel for IoT.
Unit 2,3,4 _ Internet of Things A Hands-On Approach (Arshdeep Bahga, Vijay Ma...
This document discusses the development of a new type of battery that could revolutionize energy storage. It describes how the battery uses a solid electrolyte material that conducts ions quickly and prevents short circuits. This new battery design could lead to batteries that charge faster, last longer, and are less flammable than current lithium-ion batteries. The document concludes by stating that further research is still needed but that this new battery technology shows significant potential.
Wot
The document discusses the Web of Things and Cloud of Things. It describes the Web of Things as using existing web standards to simplify creating IoT applications by allowing real-world objects to be part of the World Wide Web. The Cloud of Things leverages cloud computing technologies to support the IoT. Standards like SOA and middleware platforms are discussed as ways to provide unified architectures for the Web and Cloud of Things.
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Data science training in Chennai.
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IoT ecosystem
What IoT Is ?
IoT Applications
IoT Architecture
IoT Protocol
Development Board
IoT Cloud Platform
IoT prediction
IoT Challanges
Iot architecture
The document discusses the key features and architecture of the Internet of Things (IoT). It describes IoT as connecting physical devices through sensors and software to collect and exchange data over networks. The key features discussed are artificial intelligence, interconnectivity, distributed processing, heterogeneity, interoperability, scalability, security, and dynamic changes. The basic IoT architecture includes sensor networks, gateways, and communication technologies to connect devices. Sensor networks gather data from various sensors, while gateways act as an interface between sensor networks and cloud/application services. Common wireless technologies enabling IoT device connectivity include RFID, WLAN, and short-range wireless protocols.
Machine Learning Applications to IoT
Internet of Things (IoT) is growing rapidly in decades, various applications came out from academia and industry. IoT is an amazing future to the Internet, but there remain some challenges to IoT for human have never dealt with so many devices and so much amount of data. Machine Learning (ML) is the technique that allows computers to learn from data without being explicitly programmed. Generally, the aim is to make predictions after learning and the process operates by building a model from the given (training) data and then makes predictions based on that model. Machine learning is closely related to artificial intelligence, pattern recognition and computational statistics and has strong relationship with mathematical optimization. In this talk, we focus on ML applications to IoT. Specially, we focus on the existing ML techniques that are suitable for IoT. We also consider the issues and challenges for solving the IoT problems using ML techniques.
IoT sensing and actuation
This document discusses sensors and actuators in Industry 4.0 and the Industrial Internet of Things. It defines sensors as devices that detect physical quantities and convert them into signals, and actuators as devices that convert energy signals into motion or force. It classifies sensors as passive or active, analog or digital, and scalar or vector. It also describes common sensor characteristics and classifications of actuators such as electric, fluid power, and manual linear and rotary actuators.
Distributed Computing and Big Data
The document discusses the benefits of meditation for reducing stress and anxiety. Regular meditation practice can help calm the mind and body by lowering heart rate and blood pressure. Studies have shown that meditating for just 10-20 minutes per day can have significant positive impacts on both mental and physical health over time.
Internet of things startup basic
The document discusses Internet of Things (IoT) and Industrial Internet of Things (IIoT). It provides examples of IoT in areas like smart agriculture, energy consumption, security, and healthcare. It then describes key enabling technologies for IoT like low-power devices, Bluetooth, and the need for open connectivity standards. The document also discusses the growth of the IoT market and applications of robotics. It then focuses on defining IIoT and comparing it to IoT and M2M. The document outlines requirements and benefits of IIoT like cloud computing, analytics, and improved efficiency. Real-life examples of IIoT in industries like aviation, oil and gas are also provided.
Iot and cloud computing
This presentation is based on the basic of IOT and Cloud computing and their application . This presentation will give a brief idea about this field .
Iot
The document discusses the future of the Internet of Things (IoT). It defines IoT as connecting physical devices to exchange data and integrate the physical world into computer systems. The architecture of IoT is described as having four layers - a sensor layer to collect real-time data, a gateway layer to support communication, a service layer to analyze data, and an application layer for user interfaces. Challenges of IoT include scalability, standardization, and data volumes. Applications are in smart homes, cities, grids, cars, health, and supply chains. The future of IoT is vast due to advances enabling integration across devices.
IOT - Design Principles of Connected Devices
The document discusses key concepts in Internet of Things (IoT) design including:
1) Defining IoT as physical objects connected to the internet via sensors and controllers.
2) The importance of usability (UI/UX design) and designing for both physical appearance and logical functionality.
3) Approaches like "calm technology" that engages users' peripheral attention in a subtle rather than obtrusive way.
Introduction to IoT Architectures and Protocols
The slides defines IoT and show the differnce between M2M and IoT vision. It then describes the different layers that depicts the functional architecture of IoT, standard organizations and bodies and other IoT technology alliances, low power IoT protocols, IoT Platform components, and finally gives a short description to one of IoT low power application protocols (MQTT).
M2M technology in IOT
Machine-to-machine (M2M) communication allows machines and devices to exchange information and perform actions without human intervention. M2M technology relies on sensors that collect data and send it wirelessly over networks to computing systems using specialized software. This facilitates autonomous communication between machines and devices to monitor processes, analyze data, and make independent decisions. Key components of M2M systems include sensors, wireless networks, internet-connected computers, and data processing software. Common applications areas for M2M include environmental monitoring, smart homes, vehicle emergency sensors, security, traffic control, and industrial uses.
S/MIME
S/MIME (Secure Multipurpose Internet Mail Extensions) allows users to securely send emails through encryption and digital signatures. It uses public key cryptography, with algorithms like RSA and ElGamal for encryption and DSS and RSA for digital signatures. S/MIME supports encrypting the message contents, digitally signing the message, or both. It defines new MIME types to implement these security features for email. Other technologies like PGP provide similar email security functionality to S/MIME.
Intelligent agent
An agent is anything that can perceive its environment and act upon that environment. An intelligent agent must sense, act autonomously, and be rational. There are different types of environments and classes of agents. Intelligent agents are applied as automated online assistants to perceive customer needs and perform individualized customer service.
IOT PROTOCOLS.pptx
This document discusses IoT protocols for data communication and connection models. It describes the key pillars of IoT protocols as being device, connectivity, data, and analytics. It also outlines various types of IoT data protocols like AMQP, DDS, XMPP, and WebSocket that establish end-to-end communication. Additionally, it covers IoT network protocols like Bluetooth, LPWANs, ZigBee, Z-Wave and others that facilitate secured communication between IoT devices over the internet.
Industrial IIOT and Physical Internet
IIoT uses the power of smart
machines and real-time analytics to take advantage of the data that "dumb machines" have produced in industrial settings for years. The driving the philosophy behind IIoT is that intelligent machines are not only better than humans at
capturing and analyzing data in real-time, but they're also better at communicating important information that can be used to drive business decisions faster and
more accurately.
Artificial Intelligence and Internet of Things.pptx
Today’s business world is changing with the adoption of IoT (Internet of Things).
IoT is helping in prominently capturing a tremendous amount of data from
multiple sources. However, wrapping around the multitude of data coming
from countless of IoT devices, makes it complex to collect, process, and
analyze the data.
Realizing the future and full potential of IoT devices will require an investment
in new technologies. The convergence of AI (Artificial Intelligence) and IoT can
redefine the way industries, business, and economies functions. AI-enabled
IoT creates intelligent machines that simulate smart behavior and supports in
decision-making with little or no human interference.
Contenu connexe
Tendances
Applications of IOT (internet of things)
Smart homes are a top Internet of Things application, with over $2.5 billion in funding for startups creating connected home devices. Wearable devices are also popular, including smart watches and glasses that can be worn on the wrist or head. Smart cities use Internet of Things sensors to manage infrastructure like traffic and utilities more efficiently. The smart grid uses automated sensors and analytics to deliver power more reliably and reduce costs and emissions. Industrial Internet of Things aims to improve business operations through connected machinery and analytics.
RFID with INTERNET OF THINGS
This document discusses RFID and the Internet of Things (IoT). It describes RFID as an automatic identification technology that uses radio waves to identify objects. The IoT allows physical objects to be connected to the internet and be remotely monitored and controlled. The architecture of an IoT system generally has three layers - a perception layer to collect data from sensors and RFID tags, a network layer to transmit the information, and a service layer to process and analyze the data. RFID has applications in various fields including healthcare, transportation, and access control. Challenges to the wider adoption of RFID include collision problems, security issues, and high tag costs.
Protocols for IoT
This document provides a high-level overview of protocols for the Internet of Things (IoT). It discusses some of the key challenges for IoT including scalability, configurability, interoperability, discovery, and security. It then reviews several common IoT protocols, including HTTP, WebSockets, MQTT, CoAP, and mentions others like AMQP and XMPP. For each protocol, it summarizes their purpose, model (e.g. publish-subscribe vs client-server), efficiency considerations, and role in the protocol stack. It emphasizes that existing protocols like MQTT and CoAP are preferable to reinventing the wheel for IoT.
Unit 2,3,4 _ Internet of Things A Hands-On Approach (Arshdeep Bahga, Vijay Ma...
This document discusses the development of a new type of battery that could revolutionize energy storage. It describes how the battery uses a solid electrolyte material that conducts ions quickly and prevents short circuits. This new battery design could lead to batteries that charge faster, last longer, and are less flammable than current lithium-ion batteries. The document concludes by stating that further research is still needed but that this new battery technology shows significant potential.
Wot
The document discusses the Web of Things and Cloud of Things. It describes the Web of Things as using existing web standards to simplify creating IoT applications by allowing real-world objects to be part of the World Wide Web. The Cloud of Things leverages cloud computing technologies to support the IoT. Standards like SOA and middleware platforms are discussed as ways to provide unified architectures for the Web and Cloud of Things.
Python libraries for data science
Python is often a choice for development that needs to be applied for census and data analysis to work, or data scientists whose work should be integrated into web applications or the production environment. In particular, python actually looks at the learning point of the machine. The combination of python's teaching and library libraries makes it particularly suited to develop modern lenses and predecessors forecasts directly connected to the production process.
Data science training in Chennai.
Are you interested
Call now:+91 996 252 8294
IoT ecosystem
What IoT Is ?
IoT Applications
IoT Architecture
IoT Protocol
Development Board
IoT Cloud Platform
IoT prediction
IoT Challanges
Iot architecture
The document discusses the key features and architecture of the Internet of Things (IoT). It describes IoT as connecting physical devices through sensors and software to collect and exchange data over networks. The key features discussed are artificial intelligence, interconnectivity, distributed processing, heterogeneity, interoperability, scalability, security, and dynamic changes. The basic IoT architecture includes sensor networks, gateways, and communication technologies to connect devices. Sensor networks gather data from various sensors, while gateways act as an interface between sensor networks and cloud/application services. Common wireless technologies enabling IoT device connectivity include RFID, WLAN, and short-range wireless protocols.
Machine Learning Applications to IoT
Internet of Things (IoT) is growing rapidly in decades, various applications came out from academia and industry. IoT is an amazing future to the Internet, but there remain some challenges to IoT for human have never dealt with so many devices and so much amount of data. Machine Learning (ML) is the technique that allows computers to learn from data without being explicitly programmed. Generally, the aim is to make predictions after learning and the process operates by building a model from the given (training) data and then makes predictions based on that model. Machine learning is closely related to artificial intelligence, pattern recognition and computational statistics and has strong relationship with mathematical optimization. In this talk, we focus on ML applications to IoT. Specially, we focus on the existing ML techniques that are suitable for IoT. We also consider the issues and challenges for solving the IoT problems using ML techniques.
IoT sensing and actuation
This document discusses sensors and actuators in Industry 4.0 and the Industrial Internet of Things. It defines sensors as devices that detect physical quantities and convert them into signals, and actuators as devices that convert energy signals into motion or force. It classifies sensors as passive or active, analog or digital, and scalar or vector. It also describes common sensor characteristics and classifications of actuators such as electric, fluid power, and manual linear and rotary actuators.
Distributed Computing and Big Data
The document discusses the benefits of meditation for reducing stress and anxiety. Regular meditation practice can help calm the mind and body by lowering heart rate and blood pressure. Studies have shown that meditating for just 10-20 minutes per day can have significant positive impacts on both mental and physical health over time.
Internet of things startup basic
The document discusses Internet of Things (IoT) and Industrial Internet of Things (IIoT). It provides examples of IoT in areas like smart agriculture, energy consumption, security, and healthcare. It then describes key enabling technologies for IoT like low-power devices, Bluetooth, and the need for open connectivity standards. The document also discusses the growth of the IoT market and applications of robotics. It then focuses on defining IIoT and comparing it to IoT and M2M. The document outlines requirements and benefits of IIoT like cloud computing, analytics, and improved efficiency. Real-life examples of IIoT in industries like aviation, oil and gas are also provided.
Iot and cloud computing
This presentation is based on the basic of IOT and Cloud computing and their application . This presentation will give a brief idea about this field .
Iot
The document discusses the future of the Internet of Things (IoT). It defines IoT as connecting physical devices to exchange data and integrate the physical world into computer systems. The architecture of IoT is described as having four layers - a sensor layer to collect real-time data, a gateway layer to support communication, a service layer to analyze data, and an application layer for user interfaces. Challenges of IoT include scalability, standardization, and data volumes. Applications are in smart homes, cities, grids, cars, health, and supply chains. The future of IoT is vast due to advances enabling integration across devices.
IOT - Design Principles of Connected Devices
The document discusses key concepts in Internet of Things (IoT) design including:
1) Defining IoT as physical objects connected to the internet via sensors and controllers.
2) The importance of usability (UI/UX design) and designing for both physical appearance and logical functionality.
3) Approaches like "calm technology" that engages users' peripheral attention in a subtle rather than obtrusive way.
Introduction to IoT Architectures and Protocols
The slides defines IoT and show the differnce between M2M and IoT vision. It then describes the different layers that depicts the functional architecture of IoT, standard organizations and bodies and other IoT technology alliances, low power IoT protocols, IoT Platform components, and finally gives a short description to one of IoT low power application protocols (MQTT).
M2M technology in IOT
Machine-to-machine (M2M) communication allows machines and devices to exchange information and perform actions without human intervention. M2M technology relies on sensors that collect data and send it wirelessly over networks to computing systems using specialized software. This facilitates autonomous communication between machines and devices to monitor processes, analyze data, and make independent decisions. Key components of M2M systems include sensors, wireless networks, internet-connected computers, and data processing software. Common applications areas for M2M include environmental monitoring, smart homes, vehicle emergency sensors, security, traffic control, and industrial uses.
S/MIME
S/MIME (Secure Multipurpose Internet Mail Extensions) allows users to securely send emails through encryption and digital signatures. It uses public key cryptography, with algorithms like RSA and ElGamal for encryption and DSS and RSA for digital signatures. S/MIME supports encrypting the message contents, digitally signing the message, or both. It defines new MIME types to implement these security features for email. Other technologies like PGP provide similar email security functionality to S/MIME.
Intelligent agent
An agent is anything that can perceive its environment and act upon that environment. An intelligent agent must sense, act autonomously, and be rational. There are different types of environments and classes of agents. Intelligent agents are applied as automated online assistants to perceive customer needs and perform individualized customer service.
IOT PROTOCOLS.pptx
This document discusses IoT protocols for data communication and connection models. It describes the key pillars of IoT protocols as being device, connectivity, data, and analytics. It also outlines various types of IoT data protocols like AMQP, DDS, XMPP, and WebSocket that establish end-to-end communication. Additionally, it covers IoT network protocols like Bluetooth, LPWANs, ZigBee, Z-Wave and others that facilitate secured communication between IoT devices over the internet.
Tendances (20)
Unit 2,3,4 _ Internet of Things A Hands-On Approach (Arshdeep Bahga, Vijay Ma...
Unit 2,3,4 _ Internet of Things A Hands-On Approach (Arshdeep Bahga, Vijay Ma...
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Industrial IIOT and Physical Internet
IIoT uses the power of smart
machines and real-time analytics to take advantage of the data that "dumb machines" have produced in industrial settings for years. The driving the philosophy behind IIoT is that intelligent machines are not only better than humans at
capturing and analyzing data in real-time, but they're also better at communicating important information that can be used to drive business decisions faster and
more accurately.
Artificial Intelligence and Internet of Things.pptx
Today’s business world is changing with the adoption of IoT (Internet of Things).
IoT is helping in prominently capturing a tremendous amount of data from
multiple sources. However, wrapping around the multitude of data coming
from countless of IoT devices, makes it complex to collect, process, and
analyze the data.
Realizing the future and full potential of IoT devices will require an investment
in new technologies. The convergence of AI (Artificial Intelligence) and IoT can
redefine the way industries, business, and economies functions. AI-enabled
IoT creates intelligent machines that simulate smart behavior and supports in
decision-making with little or no human interference.
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Syllabus
Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
Levelling: Instrument used Object of levelling, Methods of levelling in brief, and Contour maps.
Chapter 4
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Chapter 5
Transportation: Introduction to Transportation Engineering; Traffic and Road Safety: Types and Characteristics of Various Modes of Transportation; Various Road Traffic Signs, Causes of Accidents and Road Safety Measures.
Chapter 6
Environmental Engineering: Environmental Pollution, Environmental Acts and Regulations, Functional Concepts of Ecology, Basics of Species, Biodiversity, Ecosystem, Hydrological Cycle; Chemical Cycles: Carbon, Nitrogen & Phosphorus; Energy Flow in Ecosystems.
Water Pollution: Water Quality standards, Introduction to Treatment & Disposal of Waste Water. Reuse and Saving of Water, Rain Water Harvesting. Solid Waste Management: Classification of Solid Waste, Collection, Transportation and Disposal of Solid. Recycling of Solid Waste: Energy Recovery, Sanitary Landfill, On-Site Sanitation. Air & Noise Pollution: Primary and Secondary air pollutants, Harmful effects of Air Pollution, Control of Air Pollution. . Noise Pollution Harmful Effects of noise pollution, control of noise pollution, Global warming & Climate Change, Ozone depletion, Greenhouse effect
Text Books:
1. Palancharmy, Basic Civil Engineering, McGraw Hill publishers.
2. Satheesh Gopi, Basic Civil Engineering, Pearson Publishers.
3. Ketki Rangwala Dalal, Essentials of Civil Engineering, Charotar Publishing House.
4. BCP, Surveying volume 1
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