An overall PowerPoint presentation of a capacitive proximity sensor.
Here are some additional resources :
https://uii.io/capsensor
https://uii.io/capsensorchoise
https://uii.io/capsensorcomparence
The SDI Team reports from the ISC West conference, including industry trends, new technologies, and security market observations. Whether you were in attendance at the ISC West conference or not, please find our following takeaways to assist you with keeping your organization up to speed with industry developments.
Lab-On-a-Chip: Think small to Think BIG by Anamika Sarkar.pdfAnamika Sarkar
Lab-On-a-Chip is a device that integrates one or several laboratory functions on a single integrated circuit of only mm to a few square cm for the scaling of single or multiple lab processes using microfluidics. The systems consist of complex devices with interconnected fluidic microchannel networks, valves, mixers, pumps, reaction chambers, and detectors, and they are able to perform without human intervention. It becomes an important part to improve global health through the development of point-of-care testing devices.
The main agenda of this work is to design advanced security with affordable and less complex system referred as “Invisible Eyeâ€. In this modern era, property crimes are more predominant which necessitates developing an advanced security system. In order to overcome predominant and contagious crimes the researchers used the technology in a more efficient way to prevent the theft. This method uses sensors, cameras and AI systems to detect, capture and send information respectively to the cops. Ms. R. Selvapriya | Raghul. D "The Invisible Eye" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd21627.pdf
The SDI Team reports from the ISC West conference, including industry trends, new technologies, and security market observations. Whether you were in attendance at the ISC West conference or not, please find our following takeaways to assist you with keeping your organization up to speed with industry developments.
Lab-On-a-Chip: Think small to Think BIG by Anamika Sarkar.pdfAnamika Sarkar
Lab-On-a-Chip is a device that integrates one or several laboratory functions on a single integrated circuit of only mm to a few square cm for the scaling of single or multiple lab processes using microfluidics. The systems consist of complex devices with interconnected fluidic microchannel networks, valves, mixers, pumps, reaction chambers, and detectors, and they are able to perform without human intervention. It becomes an important part to improve global health through the development of point-of-care testing devices.
The main agenda of this work is to design advanced security with affordable and less complex system referred as “Invisible Eyeâ€. In this modern era, property crimes are more predominant which necessitates developing an advanced security system. In order to overcome predominant and contagious crimes the researchers used the technology in a more efficient way to prevent the theft. This method uses sensors, cameras and AI systems to detect, capture and send information respectively to the cops. Ms. R. Selvapriya | Raghul. D "The Invisible Eye" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd21627.pdf
Latest trends in information technologyAtifa Aqueel
This ppt includes the latest trends in information technology such as big data analytics, cloud computing, virtual reality, 5G wireless technology etc.
The ubiquitous and connected nature of camera loaded mobile devices has greatly estimated the value and importance of visual information they capture. Today, sending videos from camera phones uploaded by unknown users is relevant on news networks, and banking customers expect to be able to deposit checks using mobile devices. In this paper we represent Movee, a system that addresses the fundamental question of whether the visual stream exchange by a user has been captured live on a mobile device, and has not been tampered with by an adversary. Movee leverages the mobile device motion sensors and the inherent user movements during the shooting of the video. Movee exploits the observation that the movement of the scene recorded on the video stream should be related to the movement of the device simultaneously captured by the accelerometer. the last decade e-lecturing has become more and more popular. We model the distribution of correlation of temporal noise residue in a forged video as a Gaussian mixture model (GMM). We propose a twostep scheme to estimate the model parameters. Consequently, a Bayesian classifier is used to find the optimal threshold value based on the estimated parameters. Cyrus Deboo | Shubham Kshatriya | Rajat Bhat"Video Liveness Verification" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018, URL: http://www.ijtsrd.com/papers/ijtsrd12772.pdf http://www.ijtsrd.com/computer-science/other/12772/video-liveness-verification/cyrus-deboo
Understanding Round Manhole Covers and the Step.pdfjamesbacklinks571
Round manhole cover is a protective lid placed over an opening in the ground, providing access to the underground infrastructure that includes sewer systems, water mains, telecommunication lines, and gas pipelines.
R E G U L A R P A P E RUser-centric privacy awareness in v.docxmakdul
R E G U L A R P A P E R
User-centric privacy awareness in video surveillance
Thomas Winkler • Bernhard Rinner
Published online: 1 July 2011
� Springer-Verlag 2011
Abstract Especially in urban environments, video cam-
eras have become omnipresent. Supporters of video sur-
veillance argue that it is an excellent tool for many
applications including crime prevention and law enforce-
ment. While this is certainly true, it must be questioned if
sufficient efforts are made to protect the privacy of moni-
tored people. Privacy concerns are often set aside when
compared to public safety and security. One reaction to this
situation is emerging: community-based efforts where cit-
izens register and map surveillance cameras in their envi-
ronment. Our study is inspired by this idea and proposes a
user-specific and location-aware privacy awareness system.
Using conventional smartphones, users not only can con-
tribute to the camera maps, but also use community-col-
lected data to be alerted of potential privacy violations. In
our model, we define different levels of privacy awareness.
For the highest level, we present a mechanism that allows
users to directly interact with specially designed, trust-
worthy cameras. These cameras provide direct feedback
about the tasks that are executed by the camera and how
privacy-sensitive data is handled. A hardware security chip
that is integrated into the camera is used to ensure
authenticity, integrity and freshness of the provided camera
status information.
Keywords Smart cameras � Video surveillance � Privacy �
User feedback � Trusted computing
1 Introduction and motivation
Video surveillance has been recognized as a valuable tool
for many applications including crime prevention and law
enforcement. As a consequence, surveillance cameras are
widely deployed especially in urban environments. This
trend is fostered by many factors such as technological
advances with the move from analog toward digital sys-
tems as well as considerable price drops of camera systems.
This way, surveillance cameras have become truly ubiq-
uitous sensors not only deployed by governments, but also
by companies and even individuals. In London, for
example, an average citizen is captured by surveillance
cameras 300 times a day [7].
It is commonly agreed that video surveillance not only
can help to increase public safety and security, but also
bears some risks. One of them is an increasing loss of
personal privacy. This problem is addressed from several
sides with mixed success. Governmental regulations intend
to protect the privacy of citizens. However, these regula-
tions are difficult to enforce and usually lag behind the
rapid developments of the surveillance industry. Several
efforts from research and academia try to address the
problem from a technological direction. Typically, they are
based on the identification and protection of privacy-sen-
sitive image regions such as human f ...
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Latest trends in information technologyAtifa Aqueel
This ppt includes the latest trends in information technology such as big data analytics, cloud computing, virtual reality, 5G wireless technology etc.
The ubiquitous and connected nature of camera loaded mobile devices has greatly estimated the value and importance of visual information they capture. Today, sending videos from camera phones uploaded by unknown users is relevant on news networks, and banking customers expect to be able to deposit checks using mobile devices. In this paper we represent Movee, a system that addresses the fundamental question of whether the visual stream exchange by a user has been captured live on a mobile device, and has not been tampered with by an adversary. Movee leverages the mobile device motion sensors and the inherent user movements during the shooting of the video. Movee exploits the observation that the movement of the scene recorded on the video stream should be related to the movement of the device simultaneously captured by the accelerometer. the last decade e-lecturing has become more and more popular. We model the distribution of correlation of temporal noise residue in a forged video as a Gaussian mixture model (GMM). We propose a twostep scheme to estimate the model parameters. Consequently, a Bayesian classifier is used to find the optimal threshold value based on the estimated parameters. Cyrus Deboo | Shubham Kshatriya | Rajat Bhat"Video Liveness Verification" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018, URL: http://www.ijtsrd.com/papers/ijtsrd12772.pdf http://www.ijtsrd.com/computer-science/other/12772/video-liveness-verification/cyrus-deboo
Understanding Round Manhole Covers and the Step.pdfjamesbacklinks571
Round manhole cover is a protective lid placed over an opening in the ground, providing access to the underground infrastructure that includes sewer systems, water mains, telecommunication lines, and gas pipelines.
R E G U L A R P A P E RUser-centric privacy awareness in v.docxmakdul
R E G U L A R P A P E R
User-centric privacy awareness in video surveillance
Thomas Winkler • Bernhard Rinner
Published online: 1 July 2011
� Springer-Verlag 2011
Abstract Especially in urban environments, video cam-
eras have become omnipresent. Supporters of video sur-
veillance argue that it is an excellent tool for many
applications including crime prevention and law enforce-
ment. While this is certainly true, it must be questioned if
sufficient efforts are made to protect the privacy of moni-
tored people. Privacy concerns are often set aside when
compared to public safety and security. One reaction to this
situation is emerging: community-based efforts where cit-
izens register and map surveillance cameras in their envi-
ronment. Our study is inspired by this idea and proposes a
user-specific and location-aware privacy awareness system.
Using conventional smartphones, users not only can con-
tribute to the camera maps, but also use community-col-
lected data to be alerted of potential privacy violations. In
our model, we define different levels of privacy awareness.
For the highest level, we present a mechanism that allows
users to directly interact with specially designed, trust-
worthy cameras. These cameras provide direct feedback
about the tasks that are executed by the camera and how
privacy-sensitive data is handled. A hardware security chip
that is integrated into the camera is used to ensure
authenticity, integrity and freshness of the provided camera
status information.
Keywords Smart cameras � Video surveillance � Privacy �
User feedback � Trusted computing
1 Introduction and motivation
Video surveillance has been recognized as a valuable tool
for many applications including crime prevention and law
enforcement. As a consequence, surveillance cameras are
widely deployed especially in urban environments. This
trend is fostered by many factors such as technological
advances with the move from analog toward digital sys-
tems as well as considerable price drops of camera systems.
This way, surveillance cameras have become truly ubiq-
uitous sensors not only deployed by governments, but also
by companies and even individuals. In London, for
example, an average citizen is captured by surveillance
cameras 300 times a day [7].
It is commonly agreed that video surveillance not only
can help to increase public safety and security, but also
bears some risks. One of them is an increasing loss of
personal privacy. This problem is addressed from several
sides with mixed success. Governmental regulations intend
to protect the privacy of citizens. However, these regula-
tions are difficult to enforce and usually lag behind the
rapid developments of the surveillance industry. Several
efforts from research and academia try to address the
problem from a technological direction. Typically, they are
based on the identification and protection of privacy-sen-
sitive image regions such as human f ...
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
2. 2
I. The description of the invention
1. The history
2. The definition & the working principle
3. The technical use
II. The importance of the invention
III.Conclusion
3. 3
I. The description of the invention
1. The history
1953 : The first capacitive
sensor ever made
2021 : Under continuous
improvements
5. 5
I. The description of the invention
3. The technical use
The change in position
The detection of presence
The measurement of density
The measurement of thickness
…
6. 6
II. The importance of the invention
The growth in the automation
technology sector
Non-contact switching system
The widespread of proximity
sensors
-The first capacitive proximity sensor ever made was by a Canadian musician, named Hugh le Caine in 1953,
-Who at first invented the first electronic synthesizer, and at the same time he got the idea to develope a small capacitive sensor in order to control the tone and volume of his instrument with his left hand which each finger acutate a sensitive-pressure control unit.
-A cool fact is that this invention is recognized as the first touch device in history.
-Nowadays the capacitive proximity sensor continues to undergo further improvements in order to meet the needs of customers in the future.
Capacitive proximity sensors are non-contact devices that can detect the presence or absence of virtually any object regardless of the material. They utilize the electrical property of capacitance and the change of capacitance based on a change in the electrical field around the active face of the sensor.
Capacitive sensors are most often used to measure the change in position of a conductive target. But capacitive sensors can be effective in measuring presence, density, thickness, and location of non-conductors as well.
-The development of automatic conveyor belts around the middle of the century (1950), along with the start of industrial mass production, led to a rapid growth in the automation technology sector.
-Therefore, the best alternative to the mechanical contact switch that was in widespread use, was the technology of non-contact switching system which is the proximity sensors, that would ideally be noncontact, abrasion-resistant, and corrosion-resistant.