Context Aware Road Traffic Speech Information System from Social Media
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This project develops a mobile application to transmit real-time traffic information to motorcyclists using data collected from Twitter. Traffic data from tweets is analyzed using named entity recognition, sentiment analysis, and statistical analysis to determine the traffic state. A Bluetooth-enabled helmet then plays the traffic state for the user based on their location provided by GPS coordinates.
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one of the major concerns. The existing solutions based on Wireless Sensor Networks(WSN) and Global
Positioning System (GPS) track ZigBee units or RFID (Radio Frequency Identification) tags fixed on the
navigation system. The issues pertaining to these solutions are as follows: (1) It is suitable only when the
visually impaired person is commuting in a familiar environment; (2) The device provides only a one way
communication; (3) Most of these instruments are heavy and sometimes costly. Preferable solution would
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The objective of this paper is to break down the technological barriers, and to propose a system by
developing an Android App which would help a visually impaired person while traveling via the public
transport system like Bus. The proposed system uses an inbuilt feature of smart phone such as GPS
location tracker to track the location of the user and Text to Speech converter. The system also integrates
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recommends the requirement of installing a GPS module in buses for real time tracking. With minor
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Visually impaired people face many problems in their day to day lives. Among them, outdoor navigation is
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Positioning System (GPS) track ZigBee units or RFID (Radio Frequency Identification) tags fixed on the
navigation system. The issues pertaining to these solutions are as follows: (1) It is suitable only when the
visually impaired person is commuting in a familiar environment; (2) The device provides only a one way
communication; (3) Most of these instruments are heavy and sometimes costly. Preferable solution would
be to make a system which is easy to carry and cheap.
The objective of this paper is to break down the technological barriers, and to propose a system by
developing an Android App which would help a visually impaired person while traveling via the public
transport system like Bus. The proposed system uses an inbuilt feature of smart phone such as GPS
location tracker to track the location of the user and Text to Speech converter. The system also integrates
Google Speech to Text converter for capturing the voice input and converts them to text. This system
recommends the requirement of installing a GPS module in buses for real time tracking. With minor
modification, this App can also help older people for independent navigation.
BLIND AID : TRAVEL AID FOR BLIND
Visually impaired people face many problems in their day to day lives. Among them, outdoor navigation is one of the major concerns. The existing solutions based on Wireless Sensor Networks(WSN) and Global Positioning System (GPS) track ZigBee units or RFID (Radio Frequency Identification) tags fixed on the navigation system. The issues pertaining to these solutions are as follows: (1) It is suitable only when the
visually impaired person is commuting in a familiar environment; (2) The device provides only a one way communication; (3) Most of these instruments are heavy and sometimes costly. Preferable solution would be to make a system which is easy to carry and cheap.
The objective of this paper is to break down the technological barriers, and to propose a system by developing an Android App which would help a visually impaired person while traveling via the public transport system like Bus. The proposed system uses an inbuilt feature of smart phone such as GPS location tracker to track the location of the user and Text to Speech converter. The system also integrates Google Speech to Text converter for capturing the voice input and converts them to text. This system recommends the requirement of installing a GPS module in buses for real time tracking. With minor
modification, this App can also help older people for independent navigation.
BLIND AID : TRAVEL AID FOR BLIND
Visually impaired people face many problems in their day to day lives. Among them, outdoor navigation is
one of the major concerns. The existing solutions based on Wireless Sensor Networks(WSN) and Global
Positioning System (GPS) track ZigBee units or RFID (Radio Frequency Identification) tags fixed on the
navigation system. The issues pertaining to these solutions are as follows: (1) It is suitable only when the
visually impaired person is commuting in a familiar environment; (2) The device provides only a one way
communication; (3) Most of these instruments are heavy and sometimes costly. Preferable solution would
be to make a system which is easy to carry and cheap.
The objective of this paper is to break down the technological barriers, and to propose a system by
developing an Android App which would help a visually impaired person while traveling via the public
transport system like Bus. The proposed system uses an inbuilt feature of smart phone such as GPS
location tracker to track the location of the user and Text to Speech converter. The system also integrates
Google Speech to Text converter for capturing the voice input and converts them to text. This system
recommends the requirement of installing a GPS module in buses for real time tracking. With minor
modification, this App can also help older people for independent navigation.
BLIND AID : TRAVEL AID FOR BLIND
Visually impaired people face many problems in their day to day lives. Among them, outdoor navigation is
one of the major concerns. The existing solutions based on Wireless Sensor Networks(WSN) and Global
Positioning System (GPS) track ZigBee units or RFID (Radio Frequency Identification) tags fixed on the
navigation system. The issues pertaining to these solutions are as follows: (1) It is suitable only when the
visually impaired person is commuting in a familiar environment; (2) The device provides only a one way
communication; (3) Most of these instruments are heavy and sometimes costly. Preferable solution would
be to make a system which is easy to carry and cheap.
The objective of this paper is to break down the technological barriers, and to propose a system by
developing an Android App which would help a visually impaired person while traveling via the public
transport system like Bus. The proposed system uses an inbuilt feature of smart phone such as GPS
location tracker to track the location of the user and Text to Speech converter. The system also integrates
Google Speech to Text converter for capturing the voice input and converts them to text. This system
recommends the requirement of installing a GPS module in buses for real time tracking. With minor
modification, this App can also help older people for independent navigation.
BLIND AID : TRAVEL AID FOR BLIND
Visually impaired people face many problems in their day to day lives. Among them, outdoor navigation is
one of the major concerns. The existing solutions based on Wireless Sensor Networks(WSN) and Global
Positioning System (GPS) track ZigBee units or RFID (Radio Frequency Identification) tags fixed on the
navigation system. The issues pertaining to these solutions are as follows: (1) It is suitable only when the
visually impaired person is commuting in a familiar environment; (2) The device provides only a one way
communication; (3) Most of these instruments are heavy and sometimes costly. Preferable solution would
be to make a system which is easy to carry and cheap.
The objective of this paper is to break down the technological barriers, and to propose a system by
developing an Android App which would help a visually impaired person while traveling via the public
transport system like Bus. The proposed system uses an inbuilt feature of smart phone such as GPS
location tracker to track the location of the user and Text to Speech converter. The system also integrates
Google Speech to Text converter for capturing the voice input and converts them to text. This system
recommends the requirement of installing a GPS module in buses for real time tracking. With minor
modification, this App can also help older people for independent navigation.
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Similar a Context Aware Road Traffic Speech Information System from Social Media
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The document describes a proposed mobile application called MTCroid for the Android platform that will provide real-time bus route information for the Metropolitan Transport Corporation (MTC) in Chennai, India. The application will use GPS data from 1000 MTC buses equipped with GPS to show bus locations on a map and estimated arrival times at bus stops. It will have a simple interface for users to easily find relevant route information. The system will include an Android client application, a backend server providing an API, and a MySQL database storing schedule and GPS data. The goals are to develop an easy to use real-time transit information tool to help reduce wait times at stops.
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This document proposes a smart city surveillance system that utilizes vehicle-mounted cameras and sensors to crowdsource real-time data about urban events and conditions. Vehicles would collect image and location data using cameras and GPS and upload it to a cloud server. The server would store the data and make it accessible to the public. The system aims to provide detailed, efficient monitoring of cities to benefit residents and officials. It was tested and shown to perform well under increasing workload.
BLIND AID : TRAVEL AID FOR BLIND
Visually impaired people face many problems in their day to day lives. Among them, outdoor navigation is
one of the major concerns. The existing solutions based on Wireless Sensor Networks(WSN) and Global
Positioning System (GPS) track ZigBee units or RFID (Radio Frequency Identification) tags fixed on the
navigation system. The issues pertaining to these solutions are as follows: (1) It is suitable only when the
visually impaired person is commuting in a familiar environment; (2) The device provides only a one way
communication; (3) Most of these instruments are heavy and sometimes costly. Preferable solution would
be to make a system which is easy to carry and cheap.
The objective of this paper is to break down the technological barriers, and to propose a system by
developing an Android App which would help a visually impaired person while traveling via the public
transport system like Bus. The proposed system uses an inbuilt feature of smart phone such as GPS
location tracker to track the location of the user and Text to Speech converter. The system also integrates
Google Speech to Text converter for capturing the voice input and converts them to text. This system
recommends the requirement of installing a GPS module in buses for real time tracking. With minor
modification, this App can also help older people for independent navigation.
BLIND AID : TRAVEL AID FOR BLIND
Visually impaired people face many problems in their day to day lives. Among them, outdoor navigation is
one of the major concerns. The existing solutions based on Wireless Sensor Networks(WSN) and Global
Positioning System (GPS) track ZigBee units or RFID (Radio Frequency Identification) tags fixed on the
navigation system. The issues pertaining to these solutions are as follows: (1) It is suitable only when the
visually impaired person is commuting in a familiar environment; (2) The device provides only a one way
communication; (3) Most of these instruments are heavy and sometimes costly. Preferable solution would
be to make a system which is easy to carry and cheap.
The objective of this paper is to break down the technological barriers, and to propose a system by
developing an Android App which would help a visually impaired person while traveling via the public
transport system like Bus. The proposed system uses an inbuilt feature of smart phone such as GPS
location tracker to track the location of the user and Text to Speech converter. The system also integrates
Google Speech to Text converter for capturing the voice input and converts them to text. This system
recommends the requirement of installing a GPS module in buses for real time tracking. With minor
modification, this App can also help older people for independent navigation.
BLIND AID : TRAVEL AID FOR BLIND
Visually impaired people face many problems in their day to day lives. Among them, outdoor navigation is one of the major concerns. The existing solutions based on Wireless Sensor Networks(WSN) and Global Positioning System (GPS) track ZigBee units or RFID (Radio Frequency Identification) tags fixed on the navigation system. The issues pertaining to these solutions are as follows: (1) It is suitable only when the
visually impaired person is commuting in a familiar environment; (2) The device provides only a one way communication; (3) Most of these instruments are heavy and sometimes costly. Preferable solution would be to make a system which is easy to carry and cheap.
The objective of this paper is to break down the technological barriers, and to propose a system by developing an Android App which would help a visually impaired person while traveling via the public transport system like Bus. The proposed system uses an inbuilt feature of smart phone such as GPS location tracker to track the location of the user and Text to Speech converter. The system also integrates Google Speech to Text converter for capturing the voice input and converts them to text. This system recommends the requirement of installing a GPS module in buses for real time tracking. With minor
modification, this App can also help older people for independent navigation.
BLIND AID : TRAVEL AID FOR BLIND
Visually impaired people face many problems in their day to day lives. Among them, outdoor navigation is
one of the major concerns. The existing solutions based on Wireless Sensor Networks(WSN) and Global
Positioning System (GPS) track ZigBee units or RFID (Radio Frequency Identification) tags fixed on the
navigation system. The issues pertaining to these solutions are as follows: (1) It is suitable only when the
visually impaired person is commuting in a familiar environment; (2) The device provides only a one way
communication; (3) Most of these instruments are heavy and sometimes costly. Preferable solution would
be to make a system which is easy to carry and cheap.
The objective of this paper is to break down the technological barriers, and to propose a system by
developing an Android App which would help a visually impaired person while traveling via the public
transport system like Bus. The proposed system uses an inbuilt feature of smart phone such as GPS
location tracker to track the location of the user and Text to Speech converter. The system also integrates
Google Speech to Text converter for capturing the voice input and converts them to text. This system
recommends the requirement of installing a GPS module in buses for real time tracking. With minor
modification, this App can also help older people for independent navigation.
BLIND AID : TRAVEL AID FOR BLIND
Visually impaired people face many problems in their day to day lives. Among them, outdoor navigation is
one of the major concerns. The existing solutions based on Wireless Sensor Networks(WSN) and Global
Positioning System (GPS) track ZigBee units or RFID (Radio Frequency Identification) tags fixed on the
navigation system. The issues pertaining to these solutions are as follows: (1) It is suitable only when the
visually impaired person is commuting in a familiar environment; (2) The device provides only a one way
communication; (3) Most of these instruments are heavy and sometimes costly. Preferable solution would
be to make a system which is easy to carry and cheap.
The objective of this paper is to break down the technological barriers, and to propose a system by
developing an Android App which would help a visually impaired person while traveling via the public
transport system like Bus. The proposed system uses an inbuilt feature of smart phone such as GPS
location tracker to track the location of the user and Text to Speech converter. The system also integrates
Google Speech to Text converter for capturing the voice input and converts them to text. This system
recommends the requirement of installing a GPS module in buses for real time tracking. With minor
modification, this App can also help older people for independent navigation.
BLIND AID : TRAVEL AID FOR BLIND
Visually impaired people face many problems in their day to day lives. Among them, outdoor navigation is
one of the major concerns. The existing solutions based on Wireless Sensor Networks(WSN) and Global
Positioning System (GPS) track ZigBee units or RFID (Radio Frequency Identification) tags fixed on the
navigation system. The issues pertaining to these solutions are as follows: (1) It is suitable only when the
visually impaired person is commuting in a familiar environment; (2) The device provides only a one way
communication; (3) Most of these instruments are heavy and sometimes costly. Preferable solution would
be to make a system which is easy to carry and cheap.
The objective of this paper is to break down the technological barriers, and to propose a system by
developing an Android App which would help a visually impaired person while traveling via the public
transport system like Bus. The proposed system uses an inbuilt feature of smart phone such as GPS
location tracker to track the location of the user and Text to Speech converter. The system also integrates
Google Speech to Text converter for capturing the voice input and converts them to text. This system
recommends the requirement of installing a GPS module in buses for real time tracking. With minor
modification, this App can also help older people for independent navigation.
IoT Solution To Regulate Vehicular Traffic
In this presentation, Swetha presents an innovative solution that aims to solve traffic problems in the country. Her solution uses sensors to collect information and relay the information to users over a mobile app.
Ijacsa published research paper march 2020
This document summarizes a research paper that proposes an accident detection and emergency response system utilizing IoT (Internet of Things). The system uses sensors on a smartphone to detect if an accident has occurred. It then determines the user's location using GPS and sends this location to nearby hospitals and the user's emergency contacts. This allows emergency services to quickly locate and assist the injured user. The system was developed using Android Studio and utilizes Java and XML programming languages. It analyzes how IoT can help improve intelligent transportation systems by enabling real-time accident detection and emergency response.
An IOT based Smart Traffic Management System
A smart traffic management is a wide topic of research. Many modifications can be made to make the urban traffic flow smoothly on the roads. The increasing utilization of private vehicles and public transportation due to advancement of technology causes hectic traffic complexities for the civilians across the globe. The problem of traffic congestion is an everyday problem for human resource and therefore hinders the growth of the country by affecting its productivity as well as economy. Moreover, the traffic signaling systems have predetermined fixed operational time which fails to manage the traffic density changing with time and thus, long traffic queues are formed at the road crossings resulting in increased pollution and waiting time. In this paper, we tried to provide solution to reduce the waiting time at road crossings while keeping in mind the importance of time of the citizens as well as the emergency service providers (such as EMS i.e. Emergency Medical Services, Fire and Rescue Services, etc.). The presented system in this paper is based on smart traffic congestion control system that will automatically set the signal time based on the measured values of vehicle density on road lanes. However, the manual changes can also be made to traffic signals for efficient traffic management in case of emergencies. This paper presents an idea of traffic management using internet of things (IOT). The Internet of Things (IoT) refers to a system of internet-connected objects that are able to collect and transfer data over a wireless network without human intervention. This technology provides an effective communication between different signals and helps in collection of data thereby providing an IoT based smart traffic management system in terms of its automated tracking, monitoring and controlling of vehicles and its data processing.
Final_report
This document provides a project report on the development of a Bhubaneswar Bus Routing Android application. The report includes sections on objectives, software requirements specification, progress achieved through diagrams, screenshots of the application, and hardware and software requirements. The application aims to help users find convenient bus routes and nearby bus stops in Bhubaneswar through features like entering a source and destination, viewing bus routes and fares, and accessing a police station directory. Diagrams show the system architecture, classes, use cases, and activities involved. Screenshots demonstrate initial screens for user input and GPS navigation. Requirements specify the needed deployment environment, devices, and development tools.
A survey on real time bus monitoring system
This document summarizes several techniques for real-time bus monitoring systems:
1) WiLocator uses surrounding WiFi access points to track and predict bus arrival times but relies on unstable WiFi signals.
2) EasyTracker requires transit agencies to install apps on smartphones in each bus but produces accurate route maps and schedules.
3) A GPS-GSM system tracks bus locations on Google Maps via a web application but requires users to open two apps.
4) An adaptive vehicle tracking methodology processes user requests for bus locations via SMS and collects bus information using mobile phones installed on each bus.
Crowd Conscious Internet of Things Enabled Smart Bus Navigation System
Public transport service is one of the most preferred
modes of transportation in today’s smart cities. People prefer
public transport mainly for the cost benefit reasons. The
problems faced by the people while using the public transport
can be overcome by the technology such as Internet of Things
(IOT). In this paper, we present how this technology can be
applied to eliminate the problems faced by the passengers of the
public bus transport service. The Internet of Things technology is
used to provide the passengers waiting at the bus stop with real
time information of the arriving buses. Information such as
arrival time, crowd density and traffic information of the
arriving buses are predetermined and provided to the passengers
waiting at the bus stop. The display boards fitted at the bus stops
provide the real time bus navigation information to the waiting
passengers. This Smart Bus Navigation system enables the
passengers to make smart decisions regarding their bus journey.
This system reduces the anxiety and the waiting time of the
passenger’s at the bus stop. The smart bus navigation system
creates a positive impact and increases the number of people who
prefer to use the public mode of transportation.
IRJET - An Intelligent Pothole Detection System using Deep Learning
This document describes a proposed intelligent pothole detection system using deep learning. The system would use a convolutional neural network trained on pothole image data to detect potholes in photos taken from a vehicle mounted camera. When potholes are detected, their locations would be stored in a cloud database. A mobile app would allow users to view the locations of detected potholes on a map. This would help automate pothole detection to assist road maintenance authorities and provide drivers with pothole location information. The proposed system aims to address the inefficiencies of manual pothole detection by automating the process using deep learning and cloud/mobile technologies.
IRJET- Reducing Transportation Cost by Managing Rides using an Android Applic...
This document describes a proposed Android application to manage ride-sharing between drivers and passengers to reduce transportation costs. The application allows drivers and passengers to register, view available rides, request or provide rides, track locations, calculate costs, and provide reviews. It is intended to provide an affordable alternative to public transportation by connecting drivers with empty seats to passengers traveling similar routes. The system aims to lower costs for users while also providing benefits to drivers.
IRJET-An Interline Dynamic Voltage Restorer (IDVR)
This document summarizes a research paper on developing a biometric e-license system using fingerprints for driver identification and vehicle verification. The system aims to digitize driver's licenses and vehicle documents so that individuals do not need to carry physical documents. It involves developing Android and web applications to extract fingerprint minutiae and match them against a database to retrieve a person's driving records and vehicle details. The system architecture, hardware requirements, algorithm used and benefits of increasing efficiency and reducing documentation are discussed in less than 3 sentences.
Design and Construction of Navigation Based Auto Self Driving Vehicle using G...
Self driving vehicles are one of the most useful technologies in many applications such as bomb disposal, underwater exploration, industrial transport etc. Control and guidance are important aspects of research and many techniques have been proposed in literature which range from fully autonomous and intelligent systems to laser and radar guided systems and line followers. This paper presents a technique for guiding and controlling autonomous vehicles by using the Google Map API Application Program Interface . GPS Global Positioning System was fitted to this system for localization of the vehicle on Google map application via Wi Fi module. May Thet Htar Nyo | Win Zaw Hein "Design and Construction of Navigation Based Auto Self-Driving Vehicle using Google Map API with GPS" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd25214.pdfPaper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/25214/design-and-construction-of-navigation-based-auto-self-driving-vehicle-using-google-map-api-with-gps/may-thet-htar-nyo
Traffic detection system using android
Traffic Detection System is an Android application that aims at determining the behavior of traffic in a particular location. It calculates the speed of the vehicle and the level of congestion or the amount of traffic is determined on the basis of the values of sensors. If any such obstruct found, then the driver is provided an option to send messages regarding high traffic to his/her friends. After a distinct number of repeated low speed and breaks, the location of the vehicle (latitude and longitude) send to a pre-specified contact (selected in case of traffic congestion) through an SMS. This application uses the features of the Global positioning system. The Latitude, as well as the longitude of the location where traffic jams are formed, is sent to the friends of the user. The Goggle map of the location also sends to the friends. It uses the SMS Manager a functionality of Android. The friends receiving the messages will thereby avoid taking the congested route and hence the level of traffic on the congested road will decrease, and the friends will reach the destination in comparatively less time.
Traffic detection system using android
Traffic Detection System is an Android application that aims at determining the behavior of traffic in a particular location. It calculates the speed of the vehicle and the level of congestion or the amount of traffic is determined on the basis of the values of sensors. If any such obstruct found, then the driver is provided an option to send messages regarding high traffic to his/her friends. After a distinct number of repeated low speed and breaks, the location of the vehicle (latitude and longitude) send to a pre-specified contact (selected in case of traffic congestion) through an SMS. This application uses the features of the Global positioning system. The Latitude, as well as the longitude of the location where traffic jams are formed, is sent to the friends of the user. The Goggle map of the location also sends to the friends. It uses the SMS Manager a functionality of Android. The friends receiving the messages will thereby avoid taking the congested route and hence the level of traffic on the congested road will decrease, and the friends will reach the destination in comparatively less time.
Similar a Context Aware Road Traffic Speech Information System from Social Media (20)
Crowd Conscious Internet of Things Enabled Smart Bus Navigation System
Crowd Conscious Internet of Things Enabled Smart Bus Navigation System
IRJET - An Intelligent Pothole Detection System using Deep Learning
IRJET - An Intelligent Pothole Detection System using Deep Learning
IRJET- Reducing Transportation Cost by Managing Rides using an Android Applic...
IRJET- Reducing Transportation Cost by Managing Rides using an Android Applic...
IRJET-An Interline Dynamic Voltage Restorer (IDVR)
IRJET-An Interline Dynamic Voltage Restorer (IDVR)
Design and Construction of Navigation Based Auto Self Driving Vehicle using G...
Design and Construction of Navigation Based Auto Self Driving Vehicle using G...
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Build an efficient Machine Learning model with LightGBM
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Tensor flow 2.0 what's new
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The future outlook and the path to be Data Scientist
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Data Driven Organization and Data Commercialization
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help protect against developing mental illness and improve symptoms for those who already suffer from conditions like anxiety and depression.
TensorFlow and Keras: An Overview
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Explore and Have Fun with TensorFlow: Transfer Learning
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Deep Learning with R
Malaysia R User Group Meetup at Microsoft Malaysia, 13th July 2017. Facebook Page https://www.facebook.com/rusergroupmalaysia/
Video of the talk can be viewed here https://www.youtube.com/watch?v=lN057ua0dKU
Explore and have fun with TensorFlow: An introductory to TensorFlow
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The path to be a Data Scientist
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Deep Learning with Microsoft R Open
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Microsoft APAC Machine Learning & Data Science Community Bootcamp
The document describes the Malaysia R User Group (MyRUG), which was started in June 2016 by Poo Kuan Hoong. MyRUG aims to provide a diverse group for members ranging from beginners to experts in R programming to share knowledge through bi-monthly meetups. The meetups feature talks by industry experts and practitioners as well as workshops and demos related to applying R. MyRUG has 203 members on Meetup and 379 followers on Facebook and has hosted 6 meetups covering topics like customer churn analytics, machine learning with Rattle and R, and speakers from companies like Microsoft, Oracle, and Sitecore Malaysia.
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Main news related to the CCS TSI 2023 (2023/1695)
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...
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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 integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Building Production Ready Search Pipelines with Spark and Milvus
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Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Generating privacy-protected synthetic data using Secludy and Milvus
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Artificial Intelligence for XMLDevelopment
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
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The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
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“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
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For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
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In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
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Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
5th LF Energy Power Grid Model Meet-up Slides
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Skybuffer SAM4U tool for SAP license adoption
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
ここ3000字までしか入らないけどタイトルの方がたくさん文字入ると思います。
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Overview
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Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
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4. Deployment Using ArgoCD for Edge Devices
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5. Introduction to Apache Kafka and S3
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6. Viewing Kafka Messages in the Data Lake
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7. What is Prometheus?
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8. Monitoring Application Metrics with Prometheus
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9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
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みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
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Context Aware Road Traffic Speech Information System from Social Media
- 1. CONTEXT AWARE ROAD TRAFFIC SPEECH INFORMATION SYSTEM FROM SOCIAL MEDIA This project focuses on developing a mobile application that transmits real-time traffic state to motorcyclists. The traffic data is collected from Twitter. The data collected is subjected to various processes like Named Entity Recognition, Sentiment Analysis and Statistical Analysis and the derived traffic state will be transmitted to the user’s mobile application. A Bluetooth enabled helmet of a motorcyclist will then playback the traffic state to the user according to their location. Lim Cheng Yang, Ian K.T. Tan, Bhawani Selvaretnam, Poo Kuan Hoong (Multimedia University) Ewe Kok Howg, Lau Heng Kar (Intel) Overview 1) To derive traffic state from various traffic condition reports. 2) To provide traffic state information based on user’s coordinates. 3) To develop a mobile application for vocal transmission of traffic state to users. Objectives The dynamics that occur on daily road traffic conditions can be taxing and disruptive for many motorists. Having prior knowledge of the traffic conditions ahead can alleviate some of the stress. Recently, approaches using crowd sourced information has been successful in applications such as Waze. However, these applications generally serve motorists in enclosed vehicles that have the luxury of on-board information systems. Meanwhile, motorcyclist aren’t able to use these applications, making them vulnerable to the sudden changes of traffic conditions. Twitter contains real-time information that could be useful to the road users. The traffic tweets can be classified into formal and informal sources. These data could be extracted and processed into useful traffic information that could help out the road user, and in this case, motorists. Traditional traffic applications used Global Positioning systems to determine the user’s position and this method is used in this project. The GPS coordinates will determine the users location and the application will use it to grab the respective data from the database. Using Bluetooth helmet as a medium to transmit the data to the user is a must as motorcyclist are not encouraged to use enclosed headphones. Background Study Development Requirements 1) Android Studio 1.0 or higher 2) PyCharm 3) Spring Tool Suite 4) MongoDB Hardware Requirements 1) Android phone (4.3 & above) 2) Bluetooth speaker integrated helmet Requirements Figure 1: Request for traffic condition ahead Figure 2: Detection of congestion ahead Figure 3: Report to the user Idea In this project, the traffic tweets will be collected through Twitter API and the location and traffic conditions will be extracted through NER. The tweets will then go though semantic analysis to determine the polarity of the traffic state. An Android application will request the traffic state according to the location of the user. The traffic state will then be reported to the user through the Bluetooth helmet. With the usage of this Android application, motorcyclists could get traffic information based on their locations. Conclusion Twitter Named Entity Recognition Phone Application raw traffic tweet User location (GPS) Traffic state ahead Implementation 1. Li, Chenliang, et al. "Twiner: named entity recognition in targeted twitter stream." Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval. ACM, 2012.APA 2. Java, Akshay, et al. "Why we twitter: understanding microblogging usage and communities." Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis. ACM, 2007. 3. Agarwal, Apoorv, et al. "Sentiment analysis of twitter data." Proceedings of the workshop on languages in social media. Association for Computational Linguistics, 2011. 4. Ritter, Alan, Sam Clark, and Oren Etzioni. "Named entity recognition in tweets: an experimental study." Proceedings of the Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2011. References Sentiment Analysis Statistical Analysis Database traffic tweet Location and state Location, state Request location state Location traffic state Request Web service: Sending GPS coordinates Jalan Pudu is jam