With the rapid development of Internet and communication technologies, vehicles that often quickly move in cities or suburb have strong computation and communication abilities. IoV is emerging as an important part of the smart or intelligent cities being proposed and developed around the world. IoV is complex integrated network system that interconnects people within and around vehicles,intelligent systems on board vehicles, and various cyber-physical systems in urban environments.
This project first gives a network model of IoV, and later provides an abstract taxonomy of IoV activation, maintenance, and applications. Finally, an analysis of challenges and future study directions in IoV is also provided.
we have analyzed the existing problems andhave given new approaches for the implementation of urban loTs. Researchers are heading towards big projects which aim at making complex architectures and networks for an advanced future.
Danny Shapiro at AI Frontiers : Accelerating the Race to AI Self-Driving Cars AI Frontiers
AI is transforming industries from consumer services to robotics. The transportation industry is next. As the industry moves from ADAS to the next-generation of self-driving technology, breakthroughs in computing are changing how we interact with vehicles, and enabling them to drive us. Deep learning is the game-changing technology behind all autonomous vehicle development. This session will showcase some of the latest deep learning systems from the data center to the vehicle being development to create safe and secure self-driving vehicles.
Autonomous vehicles: A study of implementation and security IJECEIAES
Autonomous vehicles have been invented to increase the safety of transportation users. These vehicles can sense their environment and make decisions without any external aid to produce an optimal route to reach a destination. Even though the idea sounds futuristic and if implemented successfully, many current issues related to transportation will be solved, care needs to be taken before implementing the solution. This paper will look at the pros and cons of implementation of autonomous vehicles. The vehicles depend highly on the sensors present on the vehicles and any tampering or manipulation of the data generated and transmitted by these can have disastrous consequences, as human lives are at stake here. Various attacks against the different type of sensors on-board an autonomous vehicle are covered.
Xpeng Motors' P7's self-driving roadmap and system design Junli Gu
Public presentation for nvidia gtc 2019. You can also refer to the public recorded video at: https://on-demand.gputechconf.com/gtc/2019/video/_/S91049/
Traffic congestion has become one of the largest annoyances to countries like the United States and China when it comes to economic competitiveness, livability, safety, and long-term environmental sustainability. Congestion on freeways and roads is a major component of and contributor to delay. Emerging technologies such as artificial intelligence (AI), Internet of Things (IoT), and connected vehicles provide opportunities to mitigate traffic congestion.
As one of the largest technology providers in China, Asiainfo Data is leading a city-scale Smart Transportation project in City of Wuxi, one of the national centers for IoT innovation in China. In this talk, we would like to share our real-world experiences in using AI and big data technologies to implement cutting-edge technologies transformation of Wuxi’s transportation systems. In this project, we collaborate with China Telecom, the Traffic Management Research Institute, smart vehicle makers, and many influential researchers on traffic management worldwide. We will showcase scenarios on public transportation prioritization, car-road coordination, and region-wide traffic signal optimization by utilizing AI modeling and the most advanced IoT technologies.
Speaker
Jian Chang, AsiaInfo, Chief Technology Officer
With the rapid development of Internet and communication technologies, vehicles that often quickly move in cities or suburb have strong computation and communication abilities. IoV is emerging as an important part of the smart or intelligent cities being proposed and developed around the world. IoV is complex integrated network system that interconnects people within and around vehicles,intelligent systems on board vehicles, and various cyber-physical systems in urban environments.
This project first gives a network model of IoV, and later provides an abstract taxonomy of IoV activation, maintenance, and applications. Finally, an analysis of challenges and future study directions in IoV is also provided.
we have analyzed the existing problems andhave given new approaches for the implementation of urban loTs. Researchers are heading towards big projects which aim at making complex architectures and networks for an advanced future.
Danny Shapiro at AI Frontiers : Accelerating the Race to AI Self-Driving Cars AI Frontiers
AI is transforming industries from consumer services to robotics. The transportation industry is next. As the industry moves from ADAS to the next-generation of self-driving technology, breakthroughs in computing are changing how we interact with vehicles, and enabling them to drive us. Deep learning is the game-changing technology behind all autonomous vehicle development. This session will showcase some of the latest deep learning systems from the data center to the vehicle being development to create safe and secure self-driving vehicles.
Autonomous vehicles: A study of implementation and security IJECEIAES
Autonomous vehicles have been invented to increase the safety of transportation users. These vehicles can sense their environment and make decisions without any external aid to produce an optimal route to reach a destination. Even though the idea sounds futuristic and if implemented successfully, many current issues related to transportation will be solved, care needs to be taken before implementing the solution. This paper will look at the pros and cons of implementation of autonomous vehicles. The vehicles depend highly on the sensors present on the vehicles and any tampering or manipulation of the data generated and transmitted by these can have disastrous consequences, as human lives are at stake here. Various attacks against the different type of sensors on-board an autonomous vehicle are covered.
Xpeng Motors' P7's self-driving roadmap and system design Junli Gu
Public presentation for nvidia gtc 2019. You can also refer to the public recorded video at: https://on-demand.gputechconf.com/gtc/2019/video/_/S91049/
Traffic congestion has become one of the largest annoyances to countries like the United States and China when it comes to economic competitiveness, livability, safety, and long-term environmental sustainability. Congestion on freeways and roads is a major component of and contributor to delay. Emerging technologies such as artificial intelligence (AI), Internet of Things (IoT), and connected vehicles provide opportunities to mitigate traffic congestion.
As one of the largest technology providers in China, Asiainfo Data is leading a city-scale Smart Transportation project in City of Wuxi, one of the national centers for IoT innovation in China. In this talk, we would like to share our real-world experiences in using AI and big data technologies to implement cutting-edge technologies transformation of Wuxi’s transportation systems. In this project, we collaborate with China Telecom, the Traffic Management Research Institute, smart vehicle makers, and many influential researchers on traffic management worldwide. We will showcase scenarios on public transportation prioritization, car-road coordination, and region-wide traffic signal optimization by utilizing AI modeling and the most advanced IoT technologies.
Speaker
Jian Chang, AsiaInfo, Chief Technology Officer
Vision-based real-time vehicle detection and vehicle speed measurement using ...JANAK TRIVEDI
In recent trends, digital information to the industrial integration for the intelligent transportation system (ITS)
field is gaining importance for the researcher, academia, and industrial persons. Visual information helps to
manage traffic systems in the industrial forum to build smart cities in developed countries. This paper presents
vision-based real-time vehicle detection and Vehicle Speed Measurement (VSM) using morphology operation and
binary logical process for an unplanned traffic scenario using image processing techniques. Vehicle detection and
VSM help to reduce the number of accidents and improve road network efficiency. The bounding box size for
vehicle detection is flexible according to vehicles’ sizes on the road. We test this system with different colors and
dimensions for a selected Region of Interest (ROI). The ROI sets using the two-line approach. Here, we compare
the proposed system with the inter-frame difference method and the blob analysis method with recall, precision,
and F1 performance parameters.
Applications of Artificial Intelligence in Transportation SystemsEITESAL NGO
Dr.Mohamed el Shenawy speech about applications of Artificial Intelligence in transportation systems
▪️Mentioning how can AI can change our future? And how Intelligent machines works starting with the Perception ➡️ Comprehension ➡️ Projection ➡️ Decision
▪️ AI graduation projects in Egyptian Universities
▪️ AI in self-driving cars
▪️AI in traffic management
#Artificial_Intelligence
#EiTESAL
With the development of autonomous development
technology, the need for additional applications to be used
inside and outside the vehicle is increasing. As a result of the
literature review, many applications have been developed to
display vehicle data directly on the monitor, with reflections
on glass, and on hardware devices. These applications have
been developed only for a defined problem and for a
particular autonomous system. In this study, a basic
autonomous vehicle software infrastructure and mobile
Augmented Reality application that can work on Android
devices have been developed. The Mobile Augmented Reality
app serves inside and outside the vehicle. In addition, this
application has been shown to support multiple autonomous
system infrastructures.
Bambucluster's point of view on how IoT can be a key enabler of Smart Mobility/ transportation solutions. Presented on June 14th, 2017 at the the BrightTALK Internet of Everything summit:
https://summits.brighttalk.com/webinar/iot-enabled-smart-mobility-hype-or-reality/
Urban mobility has always been about moving people from location to location through motorized personal or public transport. However, the proliferation of sensors, smartphones and intelligent high bandwidth networks are compelling towns & cities around the world to re-think urban mobility and consider technology enablers to drive towards a vision of “smart” mobility. Furthermore, the fundamental assumptions underpinning mobility are being challenged.
The Internet Of Things (IotT) has been touted as a promising technology enabler to deliver on a vision of smart mobility. We will examine the current state of IoT ecosystems, IoT enabled smart mobility efforts across the globe and help delineate the architectural considerations and cross-industry industry collaboration that would be essential to successfully deliver on smart mobility initiatives. A simple use case around a town/city smart mobility service will be used to illustrate our approach.
Nvidia's 10/26/17 Advantech Solution Day presentation by Adam Scraba. Showcases examples of how Nvidia powered AI solutions increase public safety through video analysis and object recognition to significantly speed surveillance camera footage review and search.
Full details and tech talk video: http://www.advantech-eautomation.com/eMarketingPrograms/Server_SolutionDay/
A Case Study of Artificial Intelligence is being used to Reshape BusinessAI Publications
AI is one of the emerging technologies with such a long record which is constantly changing and growing in the corporate world. We will explain the modern AI basics and various aspects, applications of AI, and its future in business throughout this paper. Many businesses benefit from AI technology by lowering operational expenses, improving efficiency, and expanding the customer base. AI is made up of a variety of tools that allow computers to process massive amounts of data using smart technologies such as machine learning and natural language processing. Many customers now value AI-powered everyday technologies such as credit card fraud detection, e-mail spam filters, and predictive traffic alerts. The field of artificial intelligence is shifting toward developing intelligent systems that can effectively collaborate with people, including innovative ways to develop interactive and scalable ways for people to teach robots. The Vehicle Integrated Artificial Intelligence System is the focus of this paper.
Emerging Trend #2 | Artificial Intelligence, construction and operations of b...Leonard
Artificial Intelligence is questioning business models in all industries. It is opening promising new avenues for the future of the design, building and operations of buildings and mobility infrastructure. AI is also at the very heart of smart city and raises new issues in the governance of territories.
In this presentation, Venkatesh introduces IoT and associated trends. His interest area lies in analytics of data obtained through sensors. Some of his ideas include predicting mean sea level based on Oxygen levels, Intelligent transport systems etc.
"When cars go driverless, connectivity, software and services will take over the driver’s seat ", keynote presented at the Connected Cars Europe event, Brussels (Belgium), May 2017
analyze the IoT (internet of things), M2M market in China, from standard, technology, market prospective. based on this analysis, the author aslo identify the current challenges and potential opputunities.
Machine vision based smart parking system using Internet of ThingsTELKOMNIKA JOURNAL
It is expected that in the next decade, majority of world population will be living in cities.
Better public services and infrastructures in the city are needed to cope with the booming population.
City vehicles that cruising for parking have indirectly causing traffic, making one harder to travel around the
city. Thus, a smart parking system can certainly lays the foundation to build a smart city. This paper
proposed a cost-effective IoT smart parking system to monitor city parking space and provide real-time
parking information to drivers. Moreover, instead of the conventional approach that uses embedded
sensors to detect vehicles in the parking area, camera image and machine vision technology are used to
obtain the parking status. In the prototype, twenty outdoor parking lots are covered using a 5 megapixel
camera connected to Raspberry Pi 3 installed at the 5th floor of the nearby building. Machine vision in this
project that involved motion tracking and Canny edge detection are programmed in Python 2 using
OpenCV technology. Corresponding data is uploaded to an IoT platform called Ubidots for possible
monitoring activity. An Android mobile application is designed for user to download real-time data of
parking information. This paper introduces a low cost smart parking system with the overall detection
accuracy of 96.40%. Also, the mobile application allows users to alert other car owners for any emergency
incidents and double parking blockage. The developed system can provide a platform for users to search
for empty car parking with ease and reduce the traffic issues such as illegal double parking especially in
the urban area.
Vision-based real-time vehicle detection and vehicle speed measurement using ...JANAK TRIVEDI
In recent trends, digital information to the industrial integration for the intelligent transportation system (ITS)
field is gaining importance for the researcher, academia, and industrial persons. Visual information helps to
manage traffic systems in the industrial forum to build smart cities in developed countries. This paper presents
vision-based real-time vehicle detection and Vehicle Speed Measurement (VSM) using morphology operation and
binary logical process for an unplanned traffic scenario using image processing techniques. Vehicle detection and
VSM help to reduce the number of accidents and improve road network efficiency. The bounding box size for
vehicle detection is flexible according to vehicles’ sizes on the road. We test this system with different colors and
dimensions for a selected Region of Interest (ROI). The ROI sets using the two-line approach. Here, we compare
the proposed system with the inter-frame difference method and the blob analysis method with recall, precision,
and F1 performance parameters.
Applications of Artificial Intelligence in Transportation SystemsEITESAL NGO
Dr.Mohamed el Shenawy speech about applications of Artificial Intelligence in transportation systems
▪️Mentioning how can AI can change our future? And how Intelligent machines works starting with the Perception ➡️ Comprehension ➡️ Projection ➡️ Decision
▪️ AI graduation projects in Egyptian Universities
▪️ AI in self-driving cars
▪️AI in traffic management
#Artificial_Intelligence
#EiTESAL
With the development of autonomous development
technology, the need for additional applications to be used
inside and outside the vehicle is increasing. As a result of the
literature review, many applications have been developed to
display vehicle data directly on the monitor, with reflections
on glass, and on hardware devices. These applications have
been developed only for a defined problem and for a
particular autonomous system. In this study, a basic
autonomous vehicle software infrastructure and mobile
Augmented Reality application that can work on Android
devices have been developed. The Mobile Augmented Reality
app serves inside and outside the vehicle. In addition, this
application has been shown to support multiple autonomous
system infrastructures.
Bambucluster's point of view on how IoT can be a key enabler of Smart Mobility/ transportation solutions. Presented on June 14th, 2017 at the the BrightTALK Internet of Everything summit:
https://summits.brighttalk.com/webinar/iot-enabled-smart-mobility-hype-or-reality/
Urban mobility has always been about moving people from location to location through motorized personal or public transport. However, the proliferation of sensors, smartphones and intelligent high bandwidth networks are compelling towns & cities around the world to re-think urban mobility and consider technology enablers to drive towards a vision of “smart” mobility. Furthermore, the fundamental assumptions underpinning mobility are being challenged.
The Internet Of Things (IotT) has been touted as a promising technology enabler to deliver on a vision of smart mobility. We will examine the current state of IoT ecosystems, IoT enabled smart mobility efforts across the globe and help delineate the architectural considerations and cross-industry industry collaboration that would be essential to successfully deliver on smart mobility initiatives. A simple use case around a town/city smart mobility service will be used to illustrate our approach.
Nvidia's 10/26/17 Advantech Solution Day presentation by Adam Scraba. Showcases examples of how Nvidia powered AI solutions increase public safety through video analysis and object recognition to significantly speed surveillance camera footage review and search.
Full details and tech talk video: http://www.advantech-eautomation.com/eMarketingPrograms/Server_SolutionDay/
A Case Study of Artificial Intelligence is being used to Reshape BusinessAI Publications
AI is one of the emerging technologies with such a long record which is constantly changing and growing in the corporate world. We will explain the modern AI basics and various aspects, applications of AI, and its future in business throughout this paper. Many businesses benefit from AI technology by lowering operational expenses, improving efficiency, and expanding the customer base. AI is made up of a variety of tools that allow computers to process massive amounts of data using smart technologies such as machine learning and natural language processing. Many customers now value AI-powered everyday technologies such as credit card fraud detection, e-mail spam filters, and predictive traffic alerts. The field of artificial intelligence is shifting toward developing intelligent systems that can effectively collaborate with people, including innovative ways to develop interactive and scalable ways for people to teach robots. The Vehicle Integrated Artificial Intelligence System is the focus of this paper.
Emerging Trend #2 | Artificial Intelligence, construction and operations of b...Leonard
Artificial Intelligence is questioning business models in all industries. It is opening promising new avenues for the future of the design, building and operations of buildings and mobility infrastructure. AI is also at the very heart of smart city and raises new issues in the governance of territories.
In this presentation, Venkatesh introduces IoT and associated trends. His interest area lies in analytics of data obtained through sensors. Some of his ideas include predicting mean sea level based on Oxygen levels, Intelligent transport systems etc.
"When cars go driverless, connectivity, software and services will take over the driver’s seat ", keynote presented at the Connected Cars Europe event, Brussels (Belgium), May 2017
analyze the IoT (internet of things), M2M market in China, from standard, technology, market prospective. based on this analysis, the author aslo identify the current challenges and potential opputunities.
Machine vision based smart parking system using Internet of ThingsTELKOMNIKA JOURNAL
It is expected that in the next decade, majority of world population will be living in cities.
Better public services and infrastructures in the city are needed to cope with the booming population.
City vehicles that cruising for parking have indirectly causing traffic, making one harder to travel around the
city. Thus, a smart parking system can certainly lays the foundation to build a smart city. This paper
proposed a cost-effective IoT smart parking system to monitor city parking space and provide real-time
parking information to drivers. Moreover, instead of the conventional approach that uses embedded
sensors to detect vehicles in the parking area, camera image and machine vision technology are used to
obtain the parking status. In the prototype, twenty outdoor parking lots are covered using a 5 megapixel
camera connected to Raspberry Pi 3 installed at the 5th floor of the nearby building. Machine vision in this
project that involved motion tracking and Canny edge detection are programmed in Python 2 using
OpenCV technology. Corresponding data is uploaded to an IoT platform called Ubidots for possible
monitoring activity. An Android mobile application is designed for user to download real-time data of
parking information. This paper introduces a low cost smart parking system with the overall detection
accuracy of 96.40%. Also, the mobile application allows users to alert other car owners for any emergency
incidents and double parking blockage. The developed system can provide a platform for users to search
for empty car parking with ease and reduce the traffic issues such as illegal double parking especially in
the urban area.
Nowadays the congestion of traffic level increases with the increasing population rapidly. With respect to
the amount of population country, the utilization of personal vehicles also increased. Most of the folks choose personal
vehicles than public transportation. Enter his/her details to the application, and enter the location where he/she wants to
reach time-consuming to find parking space in most metropolitan areas, commercial areas, especially during the rush
hours. It is often costly in almost every big city in all over the world to find a proper and secure parking space. The
proposed project is a smart parking system that delivers information to people finding a parking space online booking. It
reduce unnecessary time consuming for searching the problem of parking space in parking areas. Hence, the website is
provided by this project-based system where users can view various parking areas and choose the space from obtainable
slots. Keywords:
14 9245 it design of android based smart car (edit ari)IAESIJEECS
Android smart car is designed with safety in mind. A simple and sensitiveline, included steering wheels and new voice events, this is designed to reduceinterruption so you can stay focused on the highway.This car which can be controlling using an Android APP for smart phones.A car is regularly an electronic mechanic machine that is guide by computer and electronic controlling programming. The innovation of the Smart Car technology to developing based on remote connection using android application can control the car movements. This system use Bluetooth device controller to control the mobile App. This Bluetooth device interface with UART communication. The UART receive the command via the Bluetooth device. This design is may helps to our rural citifies. This system is developing to help to self driving vehicles.
Internet of things (IoT) infrastructures are rapidly expanding, which will lead to an unanticipated rise in demand for smart cities. The concept of a "smart city" has recently gained traction in urban planning circles. An IoTbased smart parking system is the focus of this article, and it allows a motorist to locate a car park and an available parking space in an indoor metropolis, all from the comfort of their own vehicle. Additional efforts are made to reduce the time spent defining parking zones. Reduced fuel use helps to cut down on pollution, as well as avoid needless travel through congested parking lots, which can help to reduce unlawful parking and alleviate traffic congestion in the city we all live in. These innovations include automobile particular identification via radio frequency identification (RFID) tags, unoccupied slot detection through the use of ultrasonic sensors, and cost calculating based largely on parking duration. The technology we've used is unique in that it runs on separate parts of the system for the hardware and the software.
APPLICATION OF VARIOUS DEEP LEARNING MODELS FOR AUTOMATIC TRAFFIC VIOLATION D...ijitcs
A rapid growth in the population and economic growth has resulted in an increasing number of vehicles on
road every year. Traffic congestion is a big problem in every metropolitan city. To reach their destination
faster and to avoid traffic, some people are violating traffic rules and regulations. Violation of traffic rules
puts everyone in danger. Maintaining traffic rules manually has become difficult over the time due to the
rapid increase in the population. This alarming situation has be taken care of at the earliest. To overcome
this, we need a real-time violation detection system to help maintain the traffic rules. The approach is to
detect traffic violations in real-time using edge computing, which reduces the time to detect. Different
machine learning models and algorithms were applied to detect traffic violations like traveling without a
helmet, line crossing, parking violation detection, violating the one-way rule etc. The model implemented
gave an accuracy of around 85%, due to memory constraints of the edge device in this case NVIDIA Jetson
Nano, as the fps is quite low.
IoT In Transportation Evolution_ Advancements In Autonomous Vehicles.pdfLucas Lagone
Explore the evolution of IoT in transportation and recent advancements in autonomous vehicles. Discover the benefits of IoT-enabled autonomous vehicles in smart cities.
Read More: https://www.nevinainfotech.com/blog/iot-in-transportation/
Human evolution has included the development of transportation systems. People are currently driving a significant number of fuel-powered automobiles. This resulted in an increase in the number of accidents as well as pollution in the environment. To address the disadvantages of gasolinebased vehicles, this study presents an IoT-based E-vehicle monitoring system (E-VMS) for early accident detection and to make the environment cleaner and greener by using alternative energy. E-VMS employs internet of things (IoT) technology to continuously monitor the vehicle as well as to access and control it remotely. The IoT devices installed in vehicles are built using an Arduino microcontroller and sensors to detect accidents quickly. When an accident occurs, the E-VMS recognizes it quickly and determines the severity of the incident. The machine will then promptly alert the authorities. The E-VMS is also familiar with the GPS system. This will allow the E-VMS to maintain track of the cars' location in real time. This information will be used to locate the car in the event of an accident or theft. The E-VMS system's results were promising in terms of accurately identifying accidents, determining the severity of the accident, and determining the position of the vehicle.
Similar to Deep learning techniques for obstacle detection and avoidance in driverless cars. (20)
A Personal Privacy Data Protection Scheme for Encryption and Revocation of Hi...Shakas Technologies
A Personal Privacy Data Protection Scheme for Encryption and Revocation of High-Dimensional Attri
Shakas Technologies ( Galaxy of Knowledge)
#11/A 2nd East Main Road,
Gandhi Nagar,
Vellore - 632006.
Mobile : +91-9500218218 / 8220150373| land line- 0416- 3552723
Shakas Training & Development | Shakas Sales & Services | Shakas Educational Trust|IEEE projects | Research & Development | Journal Publication |
Email : info@shakastech.com | shakastech@gmail.com |
website: www.shakastech.com
Facebook: https://www.facebook.com/pages/Shakas-Technologies
Detecting Mental Disorders in social Media through Emotional patterns-The cas...Shakas Technologies
Detecting Mental Disorders in social Media through Emotional patterns-The case of Anorexia and depression
Shakas Technologies ( Galaxy of Knowledge)
#11/A 2nd East Main Road,
Gandhi Nagar,
Vellore - 632006.
Mobile : +91-9500218218 / 8220150373| land line- 0416- 3552723
Shakas Training & Development | Shakas Sales & Services | Shakas Educational Trust|IEEE projects | Research & Development | Journal Publication |
Email : info@shakastech.com | shakastech@gmail.com |
website: www.shakastech.com
Facebook: https://www.facebook.com/pages/Shakas-Technologies
CO2 EMISSION RATING BY VEHICLES USING DATA SCIENCE
Shakas Technologies ( Galaxy of Knowledge)
#11/A 2nd East Main Road,
Gandhi Nagar,
Vellore - 632006.
Mobile : +91-9500218218 / 8220150373| land line- 0416- 3552723
Shakas Training & Development | Shakas Sales & Services | Shakas Educational Trust|IEEE projects | Research & Development | Journal Publication |
Email : info@shakastech.com | shakastech@gmail.com |
website: www.shakastech.com
Facebook: https://www.facebook.com/pages/Shakas-Technologies
Identifying Hot Topic Trends in Streaming Text Data Using News Sequential Evo...Shakas Technologies
Identifying Hot Topic Trends in Streaming Text Data Using News Sequential Evolution Model Based on Distributed Representations.
Shakas Technologies ( Galaxy of Knowledge)
#11/A 2nd East Main Road,
Gandhi Nagar,
Vellore - 632006.
Mobile : +91-9500218218 / 8220150373| land line- 0416- 3552723
Shakas Training & Development | Shakas Sales & Services | Shakas Educational Trust|IEEE projects | Research & Development | Journal Publication |
Email : info@shakastech.com | shakastech@gmail.com |
website: www.shakastech.com
Facebook: https://www.facebook.com/pages/Shakas-Technologies
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.
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.
"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.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
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
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/
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
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/
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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.
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.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Deep learning techniques for obstacle detection and avoidance in driverless cars.
1. 2020 – 2021
#13/ 19, 1st Floor, Municipal Colony, Kangayanellore Road, Gandhi Nagar, Vellore – 6.
Off: 0416-2247353 Mo: +91 9500218218 / +91 8220150373
Website: www.shakastech.com, Email - id: shakastech@gmail.com, info@shakastech.com
Deep Learning Techniques for Obstacle Detection and Avoidance in Driverless Cars.
Abstract:
With the advent of Internet of Things (IoT), The realization of smart city seems to be very
imminent. One of the key parts of a cyber physical system of urban life is transportation. This
mission-critical application has attracted many researchers in both academia and industry to
investigate driverless cars. In the domain of autonomous vehicles, intelligent video analytics
is very critical. By the advent of deep learning many neural networks based learning
approaches are under consideration. This work tries to implement obstacle detection and
avoidance in a self-driven car. One of advanced neural network called Convolutional Neural
Network (CNN) is exploited for real time video/image analysis using an IOT device. This
project makes use of a raspberry pi which is responsible for controlling the car and performing
inference using CNN, based on its current input. The model trained has achieved an accuracy
of 88.6% and are in good consent with expected performance.