A Border security Using Wireless Integrated Network Sensors (WINS)Saurabh Giratkar
Wireless Integrated Network Sensors (WINS) now provide a new monitoring and control capability for monitoring the borders of the country. Using this concept we can easily identify a stranger or some terrorists entering the border. The border area is divided into number of nodes. Each node is in contact with each other and with the main node. The noise produced by the foot-steps of the stranger are collected using the sensor. This sensed signal is then converted into power spectral density and the compared with reference value of our convenience. Accordingly the compared value is processed using a microprocessor, which sends appropriate signals to the main node. Thus the stranger is identified at the main node. A series of interface, signal processing, and communication systems have been implemented in micro power CMOS circuits. A micro power spectrum analyzer has been developed to enable low power operation of the entire WINS system.
A Border security Using Wireless Integrated Network Sensors (WINS)Saurabh Giratkar
Wireless Integrated Network Sensors (WINS) now provide a new monitoring and control capability for monitoring the borders of the country. Using this concept we can easily identify a stranger or some terrorists entering the border. The border area is divided into number of nodes. Each node is in contact with each other and with the main node. The noise produced by the foot-steps of the stranger are collected using the sensor. This sensed signal is then converted into power spectral density and the compared with reference value of our convenience. Accordingly the compared value is processed using a microprocessor, which sends appropriate signals to the main node. Thus the stranger is identified at the main node. A series of interface, signal processing, and communication systems have been implemented in micro power CMOS circuits. A micro power spectrum analyzer has been developed to enable low power operation of the entire WINS system.
you can be friend with me on orkut
"mangalforyou@gmail.com" : i belive in sharing the knowledge so please send project reports ,seminar and ppt. to me .
A Border security Using Wireless Integrated Network Sensors (WINS)Saurabh Giratkar
Wireless Integrated Network Sensors (WINS) now provide a new monitoring and control capability for monitoring the borders of the country. Using this concept we can easily identify a stranger or some terrorists entering the border. The border area is divided into number of nodes. Each node is in contact with each other and with the main node. The noise produced by the foot-steps of the stranger are collected using the sensor. This sensed signal is then converted into power spectral density and the compared with reference value of our convenience. Accordingly the compared value is processed using a microprocessor, which sends appropriate signals to the main node. Thus the stranger is identified at the main node. A series of interface, signal processing, and communication systems have been implemented in micro power CMOS circuits. A micro power spectrum analyzer has been developed to enable low power operation of the entire WINS system.
A sensor node, also known as a mote (chiefly in North America), is a node in a sensor network that is capable of performing some processing, gathering sensory information and communicating with other connected nodes in the network. A mote is a node but a node is not always a mote.
it has a small description about how wireless sensor system network can be applied in various field. A application of leaksge detection is discussed in detail.
Wireless Mesh Networking - A development patheveryunitone
A brief introduction in applying wireless mesh networking to the geotechnical industry. Presented at the Field Measurements in Geomechanics symposium, Boston, MA in 2007.
[Apologies for the malformed animations]
you can be friend with me on orkut
"mangalforyou@gmail.com" : i belive in sharing the knowledge so please send project reports ,seminar and ppt. to me .
A Border security Using Wireless Integrated Network Sensors (WINS)Saurabh Giratkar
Wireless Integrated Network Sensors (WINS) now provide a new monitoring and control capability for monitoring the borders of the country. Using this concept we can easily identify a stranger or some terrorists entering the border. The border area is divided into number of nodes. Each node is in contact with each other and with the main node. The noise produced by the foot-steps of the stranger are collected using the sensor. This sensed signal is then converted into power spectral density and the compared with reference value of our convenience. Accordingly the compared value is processed using a microprocessor, which sends appropriate signals to the main node. Thus the stranger is identified at the main node. A series of interface, signal processing, and communication systems have been implemented in micro power CMOS circuits. A micro power spectrum analyzer has been developed to enable low power operation of the entire WINS system.
A sensor node, also known as a mote (chiefly in North America), is a node in a sensor network that is capable of performing some processing, gathering sensory information and communicating with other connected nodes in the network. A mote is a node but a node is not always a mote.
it has a small description about how wireless sensor system network can be applied in various field. A application of leaksge detection is discussed in detail.
Wireless Mesh Networking - A development patheveryunitone
A brief introduction in applying wireless mesh networking to the geotechnical industry. Presented at the Field Measurements in Geomechanics symposium, Boston, MA in 2007.
[Apologies for the malformed animations]
Many Networking Software are structured into layers in the same way, TCP/IP is modelled in layers. This layered representation represents the term protocol stack, which refers to the stacked set of rules in the protocol suite. Copy the link given below and paste it in new browser window to get more information on TCP IP Model:- www.transtutors.com/homework-help/computer-science/tcp-ip-model.aspx
Wireless sensor networks are made up of number of tiny mobile nodes, which
have the capability of computation, sensing and wireless network communication. The
energy efficiency of each node in such kind of networks is one of the important issues under
consideration. Thus for these networks, sensor nodes life time is basically depends on use of
routing protocols for routing operations in WSN. There are various routing protocols
proposed by different researchers, which are considered as efficient on the basis of
performance of network lifetime and energy scavenging. There are different routing
protocols introduced for WSN such as flat routing protocols, clustering routing protocols,
hierarchical routing protocols etc. On the other hand, there are basically two types of
WSNs, homogeneous and heterogeneous sensor networks. As WSN is vulnerable to different
types of security threats, there are many security methods presented with their own
advantages and disadvantages. Most of security methods are applied only on homogeneous
WSN, but recently some methods were presented to provide the routing security in
heterogeneous WSNs as well. In this paper, the different security threats and Intrusions in
WSNs are presented, with review of different security methods.
Dynamic Communication of Wireless Sensor Network IJERA Editor
The aim of present this paper is to the describes the design of a wireless sensor network and RFID communication based on ZigBee technology. It is mainly used for dynamic communication with various nodes. For communication and connected coverage here used various algorithms which improves the efficiency of the system. Here temperature sensor are used for sensor nodes for observation and analysis of node communication with real time application. Verifying the dynamic communication between the nodes and overcome the collision problems between master and slaves. To demonstrate the effectiveness of the proposed method in terms of balancing energy consumption and maximization of network lifetime, it compare approach with the shortest path and RANDOM algorithm with nearest neighbor approach. Simulation results demonstrate that the network lifetime achieved by the proposed method could be increased by nearly Twenty five percent more than that obtained by the RANDOM and by nearly Twenty percent more than that obtained by the Local Connect Then Cover (LCTC)
INTEGRATION OF AN RFID READER TO A WIRELESS SENSOR NETWORK AND ITS USE TO IDE...ijasuc
The objective of this research is to integrate an RFID (Radio Frequency Identification) reader into a
Wireless Sensor Network (WSN) to authorize or keep track of people carrying RFID tags. The objective
was accomplished by integrating hardware and software. The hardware consisted of two WSN nodes –
the RFID node connected to one of the WSN nodes, and a computer connected to the other WSN node.
For the RFID equipment, we used the SM130-EK kit, which included the RFID reader and the RFID tags;
and for the WSN, we used the Synapse Network Evaluation kit, which included the two sensor nodes. The
software consisted of a program module developed in Python to control the microprocessors of the
nodes; and a database controlled by a simple program to manage the tag IDs of people wearing them.
The WSN and RFID nodes were connected through I2C interfacing. Also, the work of sending commands
to the RFID node, to make it read a tag and send it back to the computer, was accomplished by the
Python code developed which also controls the data signals. At the computer, the received tag ID is
evaluated with other existing tag IDs on the database, to check if that tag has authorization or not to be
in the covered area. Our research has the potential of being adapted for use with secure real-time access
control applications involving WSN and RFID technologies.
INTEGRATION OF AN RFID READER TO A WIRELESS SENSOR NETWORK AND ITS USE TO IDE...ijasuc
The objective of this research is to integrate an RFID (Radio Frequency Identification) reader into a
Wireless Sensor Network (WSN) to authorize or keep track of people carrying RFID tags. The objective
was accomplished by integrating hardware and software. The hardware consisted of two WSN nodes –
the RFID node connected to one of the WSN nodes, and a computer connected to the other WSN node.
For the RFID equipment, we used the SM130-EK kit, which included the RFID reader and the RFID tags;
and for the WSN, we used the Synapse Network Evaluation kit, which included the two sensor nodes. The
software consisted of a program module developed in Python to control the microprocessors of the
nodes; and a database controlled by a simple program to manage the tag IDs of people wearing them.
The WSN and RFID nodes were connected through I2C interfacing. Also, the work of sending commands
to the RFID node, to make it read a tag and send it back to the computer, was accomplished by the
Python code developed which also controls the data signals. At the computer, the received tag ID is
evaluated with other existing tag IDs on the database, to check if that tag has authorization or not to be
in the covered area. Our research has the potential of being adapted for use with secure real-time access
control applications involving WSN and RFID technologies.
INTEGRATION OF AN RFID READER TO A WIRELESS SENSOR NETWORK AND ITS USE TO IDE...ijasuc
The objective of this research is to integrate an RFID (Radio Frequency Identification) reader into a
Wireless Sensor Network (WSN) to authorize or keep track of people carrying RFID tags. The objective
was accomplished by integrating hardware and software. The hardware consisted of two WSN nodes –
the RFID node connected to one of the WSN nodes, and a computer connected to the other WSN node.
For the RFID equipment, we used the SM130-EK kit, which included the RFID reader and the RFID tags;
and for the WSN, we used the Synapse Network Evaluation kit, which included the two sensor nodes. The
software consisted of a program module developed in Python to control the microprocessors of the
nodes; and a database controlled by a simple program to manage the tag IDs of people wearing them.
The WSN and RFID nodes were connected through I2C interfacing. Also, the work of sending commands
to the RFID node, to make it read a tag and send it back to the computer, was accomplished by the
Python code developed which also controls the data signals. At the computer, the received tag ID is
evaluated with other existing tag IDs on the database, to check if that tag has authorization or not to be
in the covered area. Our research has the potential of being adapted for use with secure real-time access
control applications involving WSN and RFID technologies.
With the advancements in wireless technology and digital electronics, some tiny devices have started to be used in numerous areas in daily life. These devices are capable of sensing, computation and communicating. They are generally composed of low power radios, several smart sensors and embedded CPUs (Central Processing Units). These devices are used to form wireless sensor network (WSN) which is necessary to provide sensing services and to monitor environmental conditions. In parallel to WSNs, the idea of internet of things (IoT) is developed where IoT can be defined as an interconnection between identifiable devices within the internet connection in sensing and monitoring processes. This paper presents detailed overview of WSNs. It also assesses the technology and characteristics of WSNs. Moreover, it provides a review of WSN applications and IoT applications.
4 pillers of iot
1. M2M
(machine to machine)
2. WSN
(wireless sensor network)
3. RFID
(radio frequency identification device)
4. SCADA
(supervisory control and data acquisition)
SENSOR ID is a company founded by a team of young engineers, that polarizes its own activity into designing and production devices dedicated to the world of applications of IoT. Thanks to the experience gained with CUBIT Innovation Lab and University of Pisa, SensorID has developed a strong know-how in wireless technology standard integration and implementation and in wireless network topology design. SensorID built a complete portfolio of embedded electronic modules based on NFC, UHF, RFID.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
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/
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
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.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
"Impact of front-end architecture on development cost", Viktor Turskyi
Wireless border security system
1.
2.
3. WHAT IsWINS?
Wireless integrated network sensors (WINS)is a new monitoring
and control capability for applications .
Function:-
The function of WINS is detect event and provides information to
main (control)node.
Working:-
Wireless integrated network sensor sense the signal, process and
provides response as signal.
Ability :-
Wireless Integrated Network Sensors (WINS) provide distributed
network and Internet access to sensors, controls, and processors.
5. Continuous operation low duty cycle
WINS architecture includes
sensor , data converter, signal
processor, and control functions.
The micro power components
operate continuously for event
recognition , while the network
interface operates at low duty cycle.
sensor
actuator
signal processing for
event detection
control
Processing
event classification &
identification
wireless
internet
interface
continuously vigilant operation low-duty cycle operation
7. WINS MICRO SENSORS…
It captures the harmonic signals produced by the footsteps of the stranger
entering in the border. Whole area is partitioned into hexagonal region.
These signals are then converted into their PSD values and are then compared
with the reference values set by the user.
Packaging
10. WINS DSP…
If a stranger enters the border, his foot-steps will generate harmonic signals.
It can be detected as a characteristic feature in a signal power spectrum.
Thus, a spectrum analyzer must be implemented in theWINS.
The spectrum analyzer resolves theWINS input data into a low-resolution
power spectrum.
WINS micropower spectrum analyzer architecture
12. Unanticipated Faulty Behavior…
Node will detect false
event when sensor
board is overheated.
Result may be
undetectable if
incorrectly download
program and
depleted energy level
etc.
