Untitled 6.pptx
•Download as PPTX, PDF•
0 likes•1 view
The Internet of Things (IoT) involves connecting real-world devices to the internet to configure, connect and control them. IoT includes home appliances, wearables, vehicles, infrastructure systems and industrial machines. Devices sense their environment, send data to servers or clouds, and communicate with each other by running applications. The scope of IoT is broad and involves devices exchanging and analyzing data at different levels from raw data to inferred knowledge. Common IoT applications areas include smart homes, cities, energy, retail, logistics, agriculture, industry and health.
Report
Share
Report
Share
Recommended
IOT Presentation new (2).pptx
IoT refers to connecting everyday objects to the internet. It involves fitting things like appliances, lights, and sensors with electronics and software to collect and exchange data wirelessly between other devices. A smart home is a basic example where appliances, lights, and security devices can be controlled remotely through a mobile app. Key components of IoT include physical devices, gateways that connect devices to the cloud, cloud computing for data processing and storage, and user interfaces for accessing data and controlling devices. IoT has applications in healthcare, agriculture, industries, retailing, smart grids, and smart cities.
M2M_IoT_Presentation
This document discusses machine to machine communication (M2M) and the Internet of Things (IoT). It notes that M2M enables physical objects to communicate wirelessly, while IoT refers to any physical object that can connect to the internet. The number of connected devices is growing rapidly compared to the world's population. Key challenges for M2M and IoT include cost control, managing many devices, security as more data is transmitted over the internet, and interpreting large amounts of complex data. The document also discusses M2M SIM cards, embedded SIMs, and challenges regarding security and vulnerabilities as physical systems become connected to computer networks and the internet.
Modern approach towards built environment.pptx
Dhvani Bhanushali,Dhvani Bhanushali,Dhvani Bhanushali,Dhvani Bhanushali,Dhvani Bhanushali,Dhvani Bhanushali,Dhvani Bhanushali,Dhvani Bhanushali,
IoT_IT_Unit1.pdf
This document provides an overview of Internet of Things (IoT) including:
1. An introduction to IoT, defining it as interconnected internet-enabled devices that can collect and transfer data without human intervention.
2. A discussion of the need for IoT in areas like data collection, monitoring, automation, and efficiency.
3. An overview of the characteristics, architecture, enabling technologies, components, development tools, and applications of IoT systems.
1984 Big Brother is Watching you (and helping with savings) - Tomislav Krizan
1984 Big Brother is Watching you (and helping with savings) - Tomislav KrizanInstitute of Contemporary Sciences
In today’s world, homes are becoming ever smarter. Majority of you already equipped your home with smart device (excluding smartphones and computers even if they can account to that list as well) without knowing. Smart fridge, washing machine, TV, heating/cooling, climate control, lights, blinds, etc. are part of our day to day life. Some of them are already connected to network and communicate with manufacturer to predict maintenance periods, outages and similar odd behavior. By tapping into that communication and implementing/empowering central collection and analytic solution we can start building models which can help us save money, health, relief stress levels and even save/protect our lives and property by tracking and predicting potential problematic situations (fire, smoke, CO and other gas related fumes, intruders) even if we do not have appropriate sensors in place. Correlating different sensor measurements and establishing appropriate and proven causality, we can start making our home even smarter and cost effective.
Should we dynamically close shutters to preserve heat/cold within our house, should we change temperature on our smart fridge so we do not waste energy based on how much “stuff” (and which “stuff”) do we have inside fridge are some of questions which can be answered by this lecture where we will talk about implementation of Smart+ Home analytics based on user behavior, patterns but also extended into protection area by preventive alerting for fires/gas leaks, potential wiring issues (problems hidden in house walls), etc.Io t
Introduction to IoT
Components of the IoT
IoT Related Statistics
IoT Applications & Use Case Scenarios
Stakeholders of the IoT Applications
Future Directions
Conclusions
IoT Final Project
The document discusses the Internet of Things (IoT) solution ColdTrace, which is used in Haiti to monitor vaccine temperatures in health clinics. ColdTrace uses wireless sensors in vaccine storage fridges that send SMS alerts to health workers if temperatures go outside the safe range. This helps ensure vaccines are not destroyed due to unreliable electricity infrastructure. While ColdTrace has potential to solve vaccination problems in Haiti, its use requires reliable 2G network coverage in remote areas and consideration of operational and policy issues like liability if the system fails.
Recommended
IOT Presentation new (2).pptx
IoT refers to connecting everyday objects to the internet. It involves fitting things like appliances, lights, and sensors with electronics and software to collect and exchange data wirelessly between other devices. A smart home is a basic example where appliances, lights, and security devices can be controlled remotely through a mobile app. Key components of IoT include physical devices, gateways that connect devices to the cloud, cloud computing for data processing and storage, and user interfaces for accessing data and controlling devices. IoT has applications in healthcare, agriculture, industries, retailing, smart grids, and smart cities.
M2M_IoT_Presentation
This document discusses machine to machine communication (M2M) and the Internet of Things (IoT). It notes that M2M enables physical objects to communicate wirelessly, while IoT refers to any physical object that can connect to the internet. The number of connected devices is growing rapidly compared to the world's population. Key challenges for M2M and IoT include cost control, managing many devices, security as more data is transmitted over the internet, and interpreting large amounts of complex data. The document also discusses M2M SIM cards, embedded SIMs, and challenges regarding security and vulnerabilities as physical systems become connected to computer networks and the internet.
Modern approach towards built environment.pptx
Dhvani Bhanushali,Dhvani Bhanushali,Dhvani Bhanushali,Dhvani Bhanushali,Dhvani Bhanushali,Dhvani Bhanushali,Dhvani Bhanushali,Dhvani Bhanushali,
IoT_IT_Unit1.pdf
This document provides an overview of Internet of Things (IoT) including:
1. An introduction to IoT, defining it as interconnected internet-enabled devices that can collect and transfer data without human intervention.
2. A discussion of the need for IoT in areas like data collection, monitoring, automation, and efficiency.
3. An overview of the characteristics, architecture, enabling technologies, components, development tools, and applications of IoT systems.
1984 Big Brother is Watching you (and helping with savings) - Tomislav Krizan
1984 Big Brother is Watching you (and helping with savings) - Tomislav KrizanInstitute of Contemporary Sciences
In today’s world, homes are becoming ever smarter. Majority of you already equipped your home with smart device (excluding smartphones and computers even if they can account to that list as well) without knowing. Smart fridge, washing machine, TV, heating/cooling, climate control, lights, blinds, etc. are part of our day to day life. Some of them are already connected to network and communicate with manufacturer to predict maintenance periods, outages and similar odd behavior. By tapping into that communication and implementing/empowering central collection and analytic solution we can start building models which can help us save money, health, relief stress levels and even save/protect our lives and property by tracking and predicting potential problematic situations (fire, smoke, CO and other gas related fumes, intruders) even if we do not have appropriate sensors in place. Correlating different sensor measurements and establishing appropriate and proven causality, we can start making our home even smarter and cost effective.
Should we dynamically close shutters to preserve heat/cold within our house, should we change temperature on our smart fridge so we do not waste energy based on how much “stuff” (and which “stuff”) do we have inside fridge are some of questions which can be answered by this lecture where we will talk about implementation of Smart+ Home analytics based on user behavior, patterns but also extended into protection area by preventive alerting for fires/gas leaks, potential wiring issues (problems hidden in house walls), etc.Io t
Introduction to IoT
Components of the IoT
IoT Related Statistics
IoT Applications & Use Case Scenarios
Stakeholders of the IoT Applications
Future Directions
Conclusions
IoT Final Project
The document discusses the Internet of Things (IoT) solution ColdTrace, which is used in Haiti to monitor vaccine temperatures in health clinics. ColdTrace uses wireless sensors in vaccine storage fridges that send SMS alerts to health workers if temperatures go outside the safe range. This helps ensure vaccines are not destroyed due to unreliable electricity infrastructure. While ColdTrace has potential to solve vaccination problems in Haiti, its use requires reliable 2G network coverage in remote areas and consideration of operational and policy issues like liability if the system fails.
IoT applications and use cases part-2
This document discusses several applications of Internet of Things (IoT) technology, including agriculture, smart homes, smart grids, wearables, and healthcare. It provides details on how IoT sensors and automation can improve farming processes, monitor home appliances remotely, enable two-way communication on power grids, incorporate health tracking into wearable devices, and enhance clinical monitoring systems. The document also notes some advantages and disadvantages of smart home technologies, such as improved efficiency but concerns over security and interoperability.
IOT_IIOT.pptx
Almost every area, device, sensor, software, etc are connected to each other. The ability to access these devices through a smartphone or through a computer is called IoT.
Opportunities of Industry 4.0-
More reliable and consistent productivity and output and better quality products
Enabling innovation across many applications, with much larger economic impact on growth
Energy-efficient and environmentally sustainable production and systems
Effective use of human and material resources
Shubham hatzade
The document defines Internet of Things (IoT) and describes how IoT works. IoT connects devices like sensors to the internet, allowing them to collect and transfer data without human involvement. Sensors collect live data which is sent to the cloud for processing and analysis. Processed data can then be accessed by users through interfaces like phone apps or web servers. The document discusses examples of IoT devices and applications, as well as challenges and advantages of IoT such as improved access to information, automation, and integration with technologies like AI.
SYBSC(CS)_WCIOT_Sem-II-Unit 4 Iot Applications .pdf
This document discusses various Internet of Things (IoT) applications across different domains such as home automation, smart cities, environment monitoring, energy systems, retail, logistics, industry, agriculture, and healthcare. It provides examples of IoT applications for home automation including smart lighting, smart appliances, intrusion detection, and smoke/gas detectors. It also summarizes IoT uses for smart cities focusing on applications like smart parking, smart road lighting, smart roads, structural health monitoring, surveillance, and emergency response.
IoT_Unit-1.pptx
This document provides an introduction to Internet of Things (IoT), including potential application areas like smart cities and healthcare. It describes the characteristics of IoT systems like being dynamic, self-configuring, and having unique device identities. The "things" in IoT can be sensors, appliances, and vehicles that collect and exchange data. The IoT stack consists of layers including the physical sensor layer, network layer, and application layer. Enabling technologies that power IoT include sensors, cloud computing, embedded systems, and communication protocols. Challenges of IoT include security, privacy, connectivity and power requirements. IoT systems can operate at different levels from device connectivity to global integration. IoT is related to but broader than
UNIT 2.pptx
The document discusses several domains for IoT applications including home automation, smart cities, environment, and others. It provides examples of IoT uses for each domain such as smart lighting, appliances and parking for homes and cities, and weather, air and noise pollution monitoring for the environment. The applications described leverage sensors and cloud-based analytics to automate processes and provide remote monitoring and control capabilities.
IoT(Internet of Things).pptx
Internet of Things(IoT):
Exploring The World of The Internet of Things.
Internet of Things, refers to a network of physical objects embedded with sensors, software, and connectivity capabilities, allowing them to collect and exchange data. These interconnected devices, ranging from everyday objects to industrial machinery, communicate with each other and with the internet, enabling automation, remote monitoring, and intelligent decision-making.
Internet of things
Internet of Things (IoT) is an ecosystem of connected physical objects that are accessible through the internet. The ‘thing’ in IoT could be a person with a heart monitor or an automobile with built-in-sensors, i.e. objects that have been assigned an IP address and have the ability to collect and transfer data over a network without manual assistance or intervention.
Module-1.pptx
The document discusses Internet of Things (IoT) fundamentals including what IoT is, its genesis, how it relates to digitization, examples of IoT data analysis, and the impact of IoT. It then covers specific IoT applications and uses cases such as connected roadways, factories, buildings, and living creatures. It also discusses challenges with IoT such as network architecture, security, data management, and the convergence of IT and OT networks.
III CSE IoT Unit - I.pptx
This document provides an overview of the Internet of Things (IoT). It begins with definitions and timelines of IoT. It describes how sensors communicate with each other and the cloud to generate large amounts of data. Characteristics of IoT systems include dynamic adaptation, self-configuration, interoperable communication, unique device identification, and integration into information networks. The document also discusses cloud computing, components of an IoT system, types of sensors, actuators, communication networks, applications, and the physical and logical design of IoT.
IOT ppt1.pptx
This document discusses the history, definition, and applications of the Internet of Things (IoT). It begins with a brief history of IoT, noting that the term was coined in 1999 and became widely accepted in the 2000s. It then defines IoT as a system of interconnected devices that can transfer data over a network without human interaction. Finally, it provides examples of how IoT is used in various applications such as environmental monitoring, transportation, manufacturing, energy management, and more.
IoT-Introduction.pptx
The document discusses Internet of Things (IoT) and its key aspects. It defines IoT as connecting physical objects through sensors and software to exchange data over the internet. IoT devices collect and share sensor data by connecting to gateways and the cloud to be analyzed with minimal human intervention. The document outlines technologies like sensors, connectivity, cloud computing and AI that enable IoT. It also discusses challenges of IoT like scalability, security, data analytics and interoperability.
IOT Introduction.pptx
The document discusses the Internet of Things (IoT) and its evolution. It defines IoT as physical objects embedded with electronics, software and sensors that can collect and exchange data over a network. It provides examples of common IoT application areas like smart cities, smart homes and industrial control. It also describes several standardized IoT architectures developed to help accelerate adoption, including ones from oneM2M and the IoT World Forum, which define layers from the physical devices and connectivity to edge and cloud computing.
Internet_of_Things.pptx
The Internet of Things (IoT) refers to the network of physical objects embedded with electronics, software, sensors and connectivity that enables them to collect and exchange data. IoT allows objects to be sensed and controlled remotely across existing network infrastructure, creating opportunities to directly integrate the physical world with computer systems for improved efficiency and economic benefit. IoT devices can refer to a wide range of objects from medical implants to vehicles to environmental monitoring devices. These devices collect useful data with technologies like sensors and then autonomously share data between devices.
IoT Solutions for Businesses
This document discusses various Internet of Things (IoT) solutions for businesses using different wireless technologies. It provides examples of applying IoT technologies like Bluetooth, Zigbee, LoRa, WiFi and cellular networks to use cases in manufacturing, utilities, agriculture, transportation and smart cities. These include applications like asset tracking, machine monitoring, smart metering, lighting control, parking management and more. It also introduces Maven Systems as an expert in wireless technologies and IoT systems integration with live deployments in India and overseas.
Internet of thing
Basic introduction,working(steps involved and hierarchy as how IoT works) description on applications related to IoT and casual examples on the applications and the hype cycle of IoT. At the end there is a formal conclusion regarding IoT and the future related.
IOT ppt
The document discusses the Internet of Things (IoT). It defines IoT as connecting physical objects to the internet to remotely monitor and control them. The document outlines key IoT technologies like communication, identification, sensing, and localization. It provides examples of IoT applications in various domains like environmental monitoring, transportation, healthcare, manufacturing, building automation, and more. The document concludes that IoT represents the future evolution of the internet and has potential to change the world for the better if key stakeholders work together on common standards.
unit-3.pptx
This document discusses key elements of IoT including common devices used in IoT (Raspberry Pi, Arduino), sensing technologies (Bluetooth, Zigbee, RFID, WiFi), power sources, data management, and challenges in IoT like design, development, security and other challenges. It provides details on Raspberry Pi, sensors and actuators, communication standards like Zigbee and RFID, and gateways. Examples of IoT applications are also mentioned.
The Internet of Things.pdf
The Internet of Things (IoT) refers to a network of physical devices that are connected to the internet and can collect and exchange data. These devices range from everyday objects to industrial equipment. They typically contain sensors to collect data and may have the ability to perform actions autonomously based on the information collected and analyzed. Key aspects of designing IoT systems include considerations around the devices' connectivity, data processing and security, as well as how the different components of the overall system will interact and communicate with each other.
Internet of Things And Its Components.pptx
The Internet of Things (IoT) refers to a vast network of interconnected physical devices, objects, and systems that can collect and exchange data over the internet. These devices are equipped with sensors, actuators, and communication modules that allow them to interact with each other, as well as with centralized systems or cloud platforms.
privacy preserving forenciscs of encyrpted data.pptx
The document discusses techniques for privacy-preserving data mining and searchable encryption. It describes anonymization techniques like k-anonymity, l-diversity, and t-closeness that generalize or suppress attributes to protect privacy. It also covers differential privacy, which introduces noise to query responses. The document outlines the process of generating encrypted indexes from plaintext documents, including steps like indexing, encrypting indexes and documents, incorporating relevance rankings, and uploading to cloud servers for retrieval using encrypted queries.
Public key infrastrucure and its uses.pptx
Permissioned and permissionless blockchains can be summarized as follows: Permissionless blockchains are open networks with full transaction transparency across unknown parties and no central authority. Permissioned blockchains are closed networks across known parties with controlled transparency authorized by a private group that may or may not involve digital assets. Both have tradeoffs between transparency, privacy, control and suitability for different use cases.
More Related Content
Similar to Untitled 6.pptx
IoT applications and use cases part-2
This document discusses several applications of Internet of Things (IoT) technology, including agriculture, smart homes, smart grids, wearables, and healthcare. It provides details on how IoT sensors and automation can improve farming processes, monitor home appliances remotely, enable two-way communication on power grids, incorporate health tracking into wearable devices, and enhance clinical monitoring systems. The document also notes some advantages and disadvantages of smart home technologies, such as improved efficiency but concerns over security and interoperability.
IOT_IIOT.pptx
Almost every area, device, sensor, software, etc are connected to each other. The ability to access these devices through a smartphone or through a computer is called IoT.
Opportunities of Industry 4.0-
More reliable and consistent productivity and output and better quality products
Enabling innovation across many applications, with much larger economic impact on growth
Energy-efficient and environmentally sustainable production and systems
Effective use of human and material resources
Shubham hatzade
The document defines Internet of Things (IoT) and describes how IoT works. IoT connects devices like sensors to the internet, allowing them to collect and transfer data without human involvement. Sensors collect live data which is sent to the cloud for processing and analysis. Processed data can then be accessed by users through interfaces like phone apps or web servers. The document discusses examples of IoT devices and applications, as well as challenges and advantages of IoT such as improved access to information, automation, and integration with technologies like AI.
SYBSC(CS)_WCIOT_Sem-II-Unit 4 Iot Applications .pdf
This document discusses various Internet of Things (IoT) applications across different domains such as home automation, smart cities, environment monitoring, energy systems, retail, logistics, industry, agriculture, and healthcare. It provides examples of IoT applications for home automation including smart lighting, smart appliances, intrusion detection, and smoke/gas detectors. It also summarizes IoT uses for smart cities focusing on applications like smart parking, smart road lighting, smart roads, structural health monitoring, surveillance, and emergency response.
IoT_Unit-1.pptx
This document provides an introduction to Internet of Things (IoT), including potential application areas like smart cities and healthcare. It describes the characteristics of IoT systems like being dynamic, self-configuring, and having unique device identities. The "things" in IoT can be sensors, appliances, and vehicles that collect and exchange data. The IoT stack consists of layers including the physical sensor layer, network layer, and application layer. Enabling technologies that power IoT include sensors, cloud computing, embedded systems, and communication protocols. Challenges of IoT include security, privacy, connectivity and power requirements. IoT systems can operate at different levels from device connectivity to global integration. IoT is related to but broader than
UNIT 2.pptx
The document discusses several domains for IoT applications including home automation, smart cities, environment, and others. It provides examples of IoT uses for each domain such as smart lighting, appliances and parking for homes and cities, and weather, air and noise pollution monitoring for the environment. The applications described leverage sensors and cloud-based analytics to automate processes and provide remote monitoring and control capabilities.
IoT(Internet of Things).pptx
Internet of Things(IoT):
Exploring The World of The Internet of Things.
Internet of Things, refers to a network of physical objects embedded with sensors, software, and connectivity capabilities, allowing them to collect and exchange data. These interconnected devices, ranging from everyday objects to industrial machinery, communicate with each other and with the internet, enabling automation, remote monitoring, and intelligent decision-making.
Internet of things
Internet of Things (IoT) is an ecosystem of connected physical objects that are accessible through the internet. The ‘thing’ in IoT could be a person with a heart monitor or an automobile with built-in-sensors, i.e. objects that have been assigned an IP address and have the ability to collect and transfer data over a network without manual assistance or intervention.
Module-1.pptx
The document discusses Internet of Things (IoT) fundamentals including what IoT is, its genesis, how it relates to digitization, examples of IoT data analysis, and the impact of IoT. It then covers specific IoT applications and uses cases such as connected roadways, factories, buildings, and living creatures. It also discusses challenges with IoT such as network architecture, security, data management, and the convergence of IT and OT networks.
III CSE IoT Unit - I.pptx
This document provides an overview of the Internet of Things (IoT). It begins with definitions and timelines of IoT. It describes how sensors communicate with each other and the cloud to generate large amounts of data. Characteristics of IoT systems include dynamic adaptation, self-configuration, interoperable communication, unique device identification, and integration into information networks. The document also discusses cloud computing, components of an IoT system, types of sensors, actuators, communication networks, applications, and the physical and logical design of IoT.
IOT ppt1.pptx
This document discusses the history, definition, and applications of the Internet of Things (IoT). It begins with a brief history of IoT, noting that the term was coined in 1999 and became widely accepted in the 2000s. It then defines IoT as a system of interconnected devices that can transfer data over a network without human interaction. Finally, it provides examples of how IoT is used in various applications such as environmental monitoring, transportation, manufacturing, energy management, and more.
IoT-Introduction.pptx
The document discusses Internet of Things (IoT) and its key aspects. It defines IoT as connecting physical objects through sensors and software to exchange data over the internet. IoT devices collect and share sensor data by connecting to gateways and the cloud to be analyzed with minimal human intervention. The document outlines technologies like sensors, connectivity, cloud computing and AI that enable IoT. It also discusses challenges of IoT like scalability, security, data analytics and interoperability.
IOT Introduction.pptx
The document discusses the Internet of Things (IoT) and its evolution. It defines IoT as physical objects embedded with electronics, software and sensors that can collect and exchange data over a network. It provides examples of common IoT application areas like smart cities, smart homes and industrial control. It also describes several standardized IoT architectures developed to help accelerate adoption, including ones from oneM2M and the IoT World Forum, which define layers from the physical devices and connectivity to edge and cloud computing.
Internet_of_Things.pptx
The Internet of Things (IoT) refers to the network of physical objects embedded with electronics, software, sensors and connectivity that enables them to collect and exchange data. IoT allows objects to be sensed and controlled remotely across existing network infrastructure, creating opportunities to directly integrate the physical world with computer systems for improved efficiency and economic benefit. IoT devices can refer to a wide range of objects from medical implants to vehicles to environmental monitoring devices. These devices collect useful data with technologies like sensors and then autonomously share data between devices.
IoT Solutions for Businesses
This document discusses various Internet of Things (IoT) solutions for businesses using different wireless technologies. It provides examples of applying IoT technologies like Bluetooth, Zigbee, LoRa, WiFi and cellular networks to use cases in manufacturing, utilities, agriculture, transportation and smart cities. These include applications like asset tracking, machine monitoring, smart metering, lighting control, parking management and more. It also introduces Maven Systems as an expert in wireless technologies and IoT systems integration with live deployments in India and overseas.
Internet of thing
Basic introduction,working(steps involved and hierarchy as how IoT works) description on applications related to IoT and casual examples on the applications and the hype cycle of IoT. At the end there is a formal conclusion regarding IoT and the future related.
IOT ppt
The document discusses the Internet of Things (IoT). It defines IoT as connecting physical objects to the internet to remotely monitor and control them. The document outlines key IoT technologies like communication, identification, sensing, and localization. It provides examples of IoT applications in various domains like environmental monitoring, transportation, healthcare, manufacturing, building automation, and more. The document concludes that IoT represents the future evolution of the internet and has potential to change the world for the better if key stakeholders work together on common standards.
unit-3.pptx
This document discusses key elements of IoT including common devices used in IoT (Raspberry Pi, Arduino), sensing technologies (Bluetooth, Zigbee, RFID, WiFi), power sources, data management, and challenges in IoT like design, development, security and other challenges. It provides details on Raspberry Pi, sensors and actuators, communication standards like Zigbee and RFID, and gateways. Examples of IoT applications are also mentioned.
The Internet of Things.pdf
The Internet of Things (IoT) refers to a network of physical devices that are connected to the internet and can collect and exchange data. These devices range from everyday objects to industrial equipment. They typically contain sensors to collect data and may have the ability to perform actions autonomously based on the information collected and analyzed. Key aspects of designing IoT systems include considerations around the devices' connectivity, data processing and security, as well as how the different components of the overall system will interact and communicate with each other.
Internet of Things And Its Components.pptx
The Internet of Things (IoT) refers to a vast network of interconnected physical devices, objects, and systems that can collect and exchange data over the internet. These devices are equipped with sensors, actuators, and communication modules that allow them to interact with each other, as well as with centralized systems or cloud platforms.
Similar to Untitled 6.pptx (20)
SYBSC(CS)_WCIOT_Sem-II-Unit 4 Iot Applications .pdf
SYBSC(CS)_WCIOT_Sem-II-Unit 4 Iot Applications .pdf
More from GayathriSanthosh11
privacy preserving forenciscs of encyrpted data.pptx
The document discusses techniques for privacy-preserving data mining and searchable encryption. It describes anonymization techniques like k-anonymity, l-diversity, and t-closeness that generalize or suppress attributes to protect privacy. It also covers differential privacy, which introduces noise to query responses. The document outlines the process of generating encrypted indexes from plaintext documents, including steps like indexing, encrypting indexes and documents, incorporating relevance rankings, and uploading to cloud servers for retrieval using encrypted queries.
Public key infrastrucure and its uses.pptx
Permissioned and permissionless blockchains can be summarized as follows: Permissionless blockchains are open networks with full transaction transparency across unknown parties and no central authority. Permissioned blockchains are closed networks across known parties with controlled transparency authorized by a private group that may or may not involve digital assets. Both have tradeoffs between transparency, privacy, control and suitability for different use cases.
rough intro about xai and the uses of xai in decision making
The document discusses using explainable AI (XAI) techniques like LSTMs and example-based explanations to improve the interpretability of predictive models for tree growth in forestry. It proposes XAI as a tool to better understand the factors influencing tree growth outcomes and address challenges in forestry modeling by evaluating models and integrating domain knowledge. The goal is to support informed decision-making through transparent and accountable models.
2019-08-08-OriginStamp-Blockchain-Technology-Presentation.pptx
Blockchain technology was introduced in 2008 with the creation of Bitcoin. It uses a distributed ledger of encrypted blocks of data that grows over time as new blocks are added. Each block contains a cryptographic hash of the previous block, linking them together in a verifiable chain. This allows participants to reach a consensus on a single record of data without a centralized authority. Blockchain has the potential to cut out middlemen by enabling direct peer-to-peer transactions and create witnesses to published data through its transparency across all participants in the network.
273CC03851E778670A (1).ppt
The document summarizes the conceptual architecture of PostgreSQL. It describes PostgreSQL as having three main subsystems: the client server, server processes, and database control. The client server uses a client-server architecture. The postmaster process uses implicit invocation to handle connections from clients and launch server processes. Server processes employ a hybrid pipe and filter and repository architecture to process queries. The database control manages data storage and access using various independent subsystems.
10.1098-rsos.190023Figure1900232.pptx
Ransomware attacks have increased significantly in recent years. This study analyzes the economics of ransomware attacks and finds that they result in large welfare losses for victims far exceeding the monetary gains of attackers. The authors argue that preventing ransomware attacks through improved cybersecurity and disrupting criminal underground markets could increase overall social welfare.
Deep-Learning-2017-Lecture7GAN.ppt
The document summarizes generative adversarial networks (GANs) and how they work. It contains the following key points:
1. GANs involve two neural networks - a generator and a discriminator - that compete against each other. The generator tries to generate fake images that look real, while the discriminator tries to distinguish real images from fake ones.
2. Through this adversarial process, the generator gradually learns to generate more realistic images that can fool the discriminator. The goal is for the generator to eventually generate images indistinguishable from real images.
3. The training process involves alternatingly updating the discriminator to better distinguish real and fake images, and the generator to generate images that can better fool the updated discriminator.
rest motion.pptx
Data can exist in three states - in motion, at rest, and in use. Data at rest refers to inactive stored data, data in motion is actively being transmitted, and data in use is currently being accessed or processed. To secure data in all states, companies should implement network security, encrypt sensitive data, carefully classify all data based on risk level, and apply appropriate protection measures for data as it moves between states. Relying solely on reactive security or cloud providers puts data at greater risk.
Lecture_3.pptx
Bloom filters are a space-efficient probabilistic data structure for representing a set in order to support membership queries. A Bloom filter represents a set as a bit array and uses hash functions to map elements to bit positions, setting the bits. To query if an element is in the set, its bit positions are checked. False positives are possible but false negatives are not. Bloom filters enable representing a set using less space than a regular hash table while still supporting fast membership queries. They find many applications including caching, network routing, and database optimizations.
Presentation1.pptx
The document provides instructions to edit a presentation by removing designs from the first slide, rearranging the literature survey chronologically and adding years, changing the overview, changing a section to achieve key-independency, and including a definition for family on slide 23.
09092019-Block.one-Presentation.pptx
Block.one is a leading blockchain software company that developed the EOSIO protocol. EOSIO addresses limitations of first-generation blockchain platforms while retaining core benefits like security, accountability, and immutability. It is the fastest, most scalable blockchain software in the world. Block.one also supports blockchain development through its venture capital arm. Blockchain applications continue to disrupt industries from finance to gaming through general purpose platforms enabling novel use cases. Case studies highlight blockchain solutions for digital identity, ridesharing cooperatives, and genomic data ownership.
More from GayathriSanthosh11 (11)
privacy preserving forenciscs of encyrpted data.pptx
privacy preserving forenciscs of encyrpted data.pptx
rough intro about xai and the uses of xai in decision making
rough intro about xai and the uses of xai in decision making
2019-08-08-OriginStamp-Blockchain-Technology-Presentation.pptx
2019-08-08-OriginStamp-Blockchain-Technology-Presentation.pptx
Recently uploaded
Harnessing WebAssembly for Real-time Stateless Streaming Pipelines
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
Technical Drawings introduction to drawing of prisms
Method of technical Drawing of prisms,and cylinders.
IEEE Aerospace and Electronic Systems Society as a Graduate Student Member
IEEE Aerospace and Electronic Systems Society as a Graduate Student Member
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressions
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
Modelagem de um CSTR com reação endotermica.pdf
Modelagem em função de transferencia. CSTR não-linear.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
DfMAy 2024 - key insights and contributions
We have compiled the most important slides from each speaker's presentation. This year’s compilation, available for free, captures the key insights and contributions shared during the DfMAy 2024 conference.
Low power architecture of logic gates using adiabatic techniques
The growing significance of portable systems to limit power consumption in ultra-large-scale-integration chips of very high density, has recently led to rapid and inventive progresses in low-power design. The most effective technique is adiabatic logic circuit design in energy-efficient hardware. This paper presents two adiabatic approaches for the design of low power circuits, modified positive feedback adiabatic logic (modified PFAL) and the other is direct current diode based positive feedback adiabatic logic (DC-DB PFAL). Logic gates are the preliminary components in any digital circuit design. By improving the performance of basic gates, one can improvise the whole system performance. In this paper proposed circuit design of the low power architecture of OR/NOR, AND/NAND, and XOR/XNOR gates are presented using the said approaches and their results are analyzed for powerdissipation, delay, power-delay-product and rise time and compared with the other adiabatic techniques along with the conventional complementary metal oxide semiconductor (CMOS) designs reported in the literature. It has been found that the designs with DC-DB PFAL technique outperform with the percentage improvement of 65% for NOR gate and 7% for NAND gate and 34% for XNOR gate over the modified PFAL techniques at 10 MHz respectively.
A review on techniques and modelling methodologies used for checking electrom...
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
New techniques for characterising damage in rock slopes.pdf
rock mass characterization and New techniques for characterising damage in rock slopes
Embedded machine learning-based road conditions and driving behavior monitoring
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
Recently uploaded (20)
Harnessing WebAssembly for Real-time Stateless Streaming Pipelines
Harnessing WebAssembly for Real-time Stateless Streaming Pipelines
Technical Drawings introduction to drawing of prisms
Technical Drawings introduction to drawing of prisms
IEEE Aerospace and Electronic Systems Society as a Graduate Student Member
IEEE Aerospace and Electronic Systems Society as a Graduate Student Member
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
ACRP 4-09 Risk Assessment Method to Support Modification of Airfield Separat...
ACRP 4-09 Risk Assessment Method to Support Modification of Airfield Separat...
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressions
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressions
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
ML Based Model for NIDS MSc Updated Presentation.v2.pptx
ML Based Model for NIDS MSc Updated Presentation.v2.pptx
Low power architecture of logic gates using adiabatic techniques
Low power architecture of logic gates using adiabatic techniques
A review on techniques and modelling methodologies used for checking electrom...
A review on techniques and modelling methodologies used for checking electrom...
New techniques for characterising damage in rock slopes.pdf
New techniques for characterising damage in rock slopes.pdf
Embedded machine learning-based road conditions and driving behavior monitoring
Embedded machine learning-based road conditions and driving behavior monitoring
Untitled 6.pptx
- 1. Internet of Things • Composed of real world things that have unique identities that are connected to the Internet • Terms ‘things’, ’objects’ and ‘devices’ are used interchangeably • Focus is on configuring the devices, connecting the devices and controlling the devices and thereby the environment
- 2. Things in IoT • Home appliances • Smartphones and computers • Wearable electronics • Automobiles • Energy systems • Retail payment systems • Printers • Industrial machines • Healthcare systems • Surveillance cameras
- 3. Things in IoT • Thermostats • Utility meters • Bluetooth connected headset • Irrigation pumps and sensors • Control circuit for an electric car’s engine
- 4. Scope of IoT • Is very broad • Not confined to just connecting the devices • Devices have to sense the environment and send the data to the control room or a centralized server or a cloud • Devices have to exchange and communicate among themselves • For this it may be necessary for the devices to run meaningful applications either online or offline (usually in a cloud)
- 6. Knowledge Pyramid • Consider the sensor measurements generated by weather monitoring station ((72,45):(84,56)) • Unable to infer anything from this, since the tuple does not have any meaning • Each tuple in data represents the temperature and humidity measured every minute – the context is added
- 7. Knowledge Pyramid • Further information shall be obtained by categorizing, condensing or processing the data • Average temperature and humidity readings for last 5 minutes is obtained by averaging of last five tuples • Next step is to organize the information and understand the relationships between pieces of information to infer knowledge
- 8. Knowledge Pyramid • Finally the inferred knowledge is to be put into action • An alert is raised if the average temperature in the last five minutes exceeds 120oF • This alert may be conditioned on the user’s geographical position itself
- 9. Applications of IoT • Home – Smart lighting, smart appliances, intrusion detection, smoke/gas detectors • Cities – Smart parking, smart roads, structural health monitoring, emergency response • Environment – Weather monitoring, air pollution monitoring, noise pollution monitoring, forest fire detection
- 10. Applications of IoT • Energy – Smart grids – Renewable energy sources – Prognostics • Retail – Inventory management – Smart payments – Smart vending machines
- 11. Applications of IoT • Logistics – Route generation and scheduling – Fleet tracking – Shipment monitoring – Remote vehicle diagnostics • Agriculture – Smart irrigation – Green house control
- 12. Applications of IoT • Industry – Machine diagnosis and prognosis – Indoor air quality measuring • Health and life style – Health and fitness monitoring – Wearable electronics