Mobile asset tracking technology facilitates construction fleet managers' preventive maintenance programs, by Don Talend, brand storytelling, content management and demand generation expert. Construction industry
Connected Lives: Where Smart Vehicles Meet the Intelligent RoadCognizant
The digital highway promises to enable an ever-expanding ecosystem encompassing intelligent transportation systems, smart cities and logistics systems, optimizing productivity and performance for businesses and individuals.
Cloud Based Autonomous Vehicle NavigationWilliam Smith
This document proposes a cloud-based autonomous vehicle control and navigation system that allows vehicles to cooperatively sense obstacles and avoid traffic. It involves the following:
1. RC cars equipped with sensors and microprocessors that can detect obstacles and communicate with a remote server via cloud.
2. A remote server runs an algorithm to determine the optimal path for each vehicle based on its location and destination, using real-time sensor data from vehicles about obstacles.
3. The system aims to scale to large numbers of autonomous vehicles by distributing sensing and control - vehicles only need to sense their environment and follow path instructions from the remote server.
Data management for OCMS and infra-electrical depotsSifiso. Lukhele
The document discusses smarter methods for managing data from OCMS testing. Currently, it takes about 1500 minutes to analyze exceedance data for one line section. The document proposes loading exceedance data directly from OCMS tests into GPS or smart devices to enable more efficient inspections. Using Android smart devices, exceedance data could be loaded directly as KML files to pinpoint problem locations. This would allow issues to be addressed much more quickly compared to the current multi-day analysis process. Feedback from maintenance staff found the new approach helped locate defects accurately and efficiently. Faster response to issues could help prevent delays and improve train service reliability.
IRJET- Smart Card Based Automated Toll Plaza SystemIRJET Journal
This document describes a proposed smart card-based automated toll plaza system using Internet of Things (IoT) technology. The system would automatically identify approaching vehicles using sensors, read identification information from smart cards using RFID readers, process toll payments by deducting funds from preloaded accounts, and notify users of transactions via SMS. This would help reduce traffic congestion at toll plazas by automating the toll collection process. The system architecture involves IoT sensors, RFID readers, microcontrollers, GSM modules, and a cloud-based centralized database. It is proposed to address limitations of existing manual toll systems and could provide more efficient toll collection.
A Smart Image Processing-Based System For Parking Space Vacancy ManagementMary Calkins
This document describes a smart parking management system that uses image processing to detect vacant parking spots. The system works as follows:
1. Aerial cameras capture images of the parking lot and send them to a base station.
2. The base station processes the images using techniques like edge detection and morphological dilation to identify parking spots. It compares pixel counts in spots to detect occupied vs vacant spots.
3. The base station sends occupancy information to displays near the parking lot, helping drivers locate empty spots.
The system was tested on images of a parking lot. Image processing techniques accurately identified occupied spots based on increased pixel counts in bounding boxes around spots. This helps reduce time spent searching for parking.
This document discusses digital solutions for improving dry port operations. It outlines several reasons for dry port digitalization, including the need for more accurate and timely information sharing. It then describes existing digital solutions that can be applied to cargo handling, infrastructure, traffic, customs, security, maintenance, energy/environment, autonomous vehicles, warehouse robots, and artificial intelligence. Specific examples of digital technologies that can enhance infrastructure, cargo handling, traffic flow, safety, maintenance, and energy efficiency are provided. The document concludes by discussing practical proposals for implementing digital solutions through a regional digital logistics platform and distributed control system.
Refuse and recycling content portfolio that includes MSW Management magazine articles on route mapping, weighing and ticketing, collection equipment, and the construction and demolition market, by Don Talend, brand storytelling, content management, and content strategy expert. Refuse and recycling industry
Don Talend Refuse Industry Route Optimization ArticleDon Talend
Route mapping and vehicle location systems improve refuse collection efficiency and profitability, by Don Talend, brand storytelling, content strategy and demand generation expert. Refuse management industry
Connected Lives: Where Smart Vehicles Meet the Intelligent RoadCognizant
The digital highway promises to enable an ever-expanding ecosystem encompassing intelligent transportation systems, smart cities and logistics systems, optimizing productivity and performance for businesses and individuals.
Cloud Based Autonomous Vehicle NavigationWilliam Smith
This document proposes a cloud-based autonomous vehicle control and navigation system that allows vehicles to cooperatively sense obstacles and avoid traffic. It involves the following:
1. RC cars equipped with sensors and microprocessors that can detect obstacles and communicate with a remote server via cloud.
2. A remote server runs an algorithm to determine the optimal path for each vehicle based on its location and destination, using real-time sensor data from vehicles about obstacles.
3. The system aims to scale to large numbers of autonomous vehicles by distributing sensing and control - vehicles only need to sense their environment and follow path instructions from the remote server.
Data management for OCMS and infra-electrical depotsSifiso. Lukhele
The document discusses smarter methods for managing data from OCMS testing. Currently, it takes about 1500 minutes to analyze exceedance data for one line section. The document proposes loading exceedance data directly from OCMS tests into GPS or smart devices to enable more efficient inspections. Using Android smart devices, exceedance data could be loaded directly as KML files to pinpoint problem locations. This would allow issues to be addressed much more quickly compared to the current multi-day analysis process. Feedback from maintenance staff found the new approach helped locate defects accurately and efficiently. Faster response to issues could help prevent delays and improve train service reliability.
IRJET- Smart Card Based Automated Toll Plaza SystemIRJET Journal
This document describes a proposed smart card-based automated toll plaza system using Internet of Things (IoT) technology. The system would automatically identify approaching vehicles using sensors, read identification information from smart cards using RFID readers, process toll payments by deducting funds from preloaded accounts, and notify users of transactions via SMS. This would help reduce traffic congestion at toll plazas by automating the toll collection process. The system architecture involves IoT sensors, RFID readers, microcontrollers, GSM modules, and a cloud-based centralized database. It is proposed to address limitations of existing manual toll systems and could provide more efficient toll collection.
A Smart Image Processing-Based System For Parking Space Vacancy ManagementMary Calkins
This document describes a smart parking management system that uses image processing to detect vacant parking spots. The system works as follows:
1. Aerial cameras capture images of the parking lot and send them to a base station.
2. The base station processes the images using techniques like edge detection and morphological dilation to identify parking spots. It compares pixel counts in spots to detect occupied vs vacant spots.
3. The base station sends occupancy information to displays near the parking lot, helping drivers locate empty spots.
The system was tested on images of a parking lot. Image processing techniques accurately identified occupied spots based on increased pixel counts in bounding boxes around spots. This helps reduce time spent searching for parking.
This document discusses digital solutions for improving dry port operations. It outlines several reasons for dry port digitalization, including the need for more accurate and timely information sharing. It then describes existing digital solutions that can be applied to cargo handling, infrastructure, traffic, customs, security, maintenance, energy/environment, autonomous vehicles, warehouse robots, and artificial intelligence. Specific examples of digital technologies that can enhance infrastructure, cargo handling, traffic flow, safety, maintenance, and energy efficiency are provided. The document concludes by discussing practical proposals for implementing digital solutions through a regional digital logistics platform and distributed control system.
Refuse and recycling content portfolio that includes MSW Management magazine articles on route mapping, weighing and ticketing, collection equipment, and the construction and demolition market, by Don Talend, brand storytelling, content management, and content strategy expert. Refuse and recycling industry
Don Talend Refuse Industry Route Optimization ArticleDon Talend
Route mapping and vehicle location systems improve refuse collection efficiency and profitability, by Don Talend, brand storytelling, content strategy and demand generation expert. Refuse management industry
Advanced High Speed Black Box Based Vehicle Crash Investigation Systemijtsrd
This document describes a proposed vehicle black box system that records data during crashes to aid in accident investigations. It would include sensors to monitor speed, location via GPS, and video footage via front and back cameras. The data would be stored temporarily in memory and could then be retrieved for analysis after a crash. The system aims to objectively determine the causes and sequence of events leading up to and during accidents. This could help insurance claims and reduce pending cases by providing clear evidence.
Discernment Pothole with Autonomous Metropolitan VehicleIRJET Journal
This document describes a system to detect potholes using sensors on vehicles and communicate detected pothole locations and characteristics to a server and mobile application. The system uses an accelerometer to detect when a vehicle hits a pothole and records the location using GPS. This data is sent to a server which aggregates pothole information. A mobile app called "ROAD MODE" then warns drivers about upcoming potholes based on the aggregated data. The document discusses the system architecture, objectives to provide accurate and low-cost pothole profiling, working modules to sense and communicate pothole data, and experiments evaluating the impact of factors like vehicle speed and phone placement on detection accuracy. It found the system could estimate poth
1) The document discusses a technical presentation on embedded systems for automating cars. It describes how embedded systems combine hardware and software to perform tasks with minimal human intervention.
2) Autonomous vehicles are discussed as an example of an embedded system. Sensors, GPS, and advanced computer control allow vehicles to drive themselves without human input.
3) The presentation outlines the various components that would need to work together, such as sensors, computer processing, and network communication, to allow vehicles to navigate roads automatically while avoiding collisions.
IRJET-Intelligent Internet of Things in Shipping IndustryIRJET Journal
1. The document discusses how introducing Internet of Things (IoT) and artificial intelligence technologies can help optimize operations in the shipping industry.
2. Key applications proposed include using sensors and computer vision to automatically track cargo containers, using machine learning to determine optimal loading and routes, and monitoring ship conditions and performance.
3. By connecting systems onboard ships to company servers via IoT, real-time data sharing and predictive analytics can help reduce costs, improve safety and security, and provide accurate navigation assistance across global shipping networks.
Privacy-Preserving Cloud-based Road Condition Monitoring with Source Authenti...JAYAPRAKASH JPINFOTECH
Privacy-Preserving Cloud-based Road Condition Monitoring with Source Authentication in VANETs
To buy this project in ONLINE, Contact:
Email: jpinfotechprojects@gmail.com,
Website: https://www.jpinfotech.org
IMPROVE THE PERFORMANCE OF THE CNPV PROTOCOL IN VANET NETWORKSIAEME Publication
The document describes a proposed model to improve the performance of the CNPV protocol in VANET networks. The model uses a series of location verification tests instead of the exhaustive tests used in CNPV, with the goal of identifying misbehaving vehicles while reducing computational overhead and the number of messages exchanged. Simulation results showed the approach could identify up to 90% of vehicles sending false location information while exchanging ten times fewer messages than other research, improving efficiency and accuracy.
Control of Traffic Signals by AI based Image ProcessingIRJET Journal
The document describes a proposed system to control traffic signals using artificial intelligence based image processing. A live video feed from CCTV cameras at intersections would be used to calculate traffic density in real-time by detecting vehicles in each lane using the YOLO object detection algorithm. The number and type of detected vehicles would determine the duration of the green light for each lane, making the system adaptive to current traffic conditions. This is aimed to reduce delays, congestion, and air pollution compared to traditional static traffic light systems. A simulation was developed using Pygame to demonstrate the concept.
Big data traffic management in vehicular ad-hoc network IJECEIAES
Today, the world has experienced a new trend with regard to data system management, traditional database management tools have become outdated and they will no longer be able to process the mass of data generated by different systems, that's why big data is there to process this mass of data to bring out crucial information hidden in this data, and without big data technologies the treatment is very difficult to manage; among the domains that uses big data technologies is vehicular ad-hoc network to manage their voluminous data. In this article, we establish in the first step a method that allow to detect anomalies or accidents within the road and compute the time spent in each road section in real time, which permit us to obtain a database having the estimated time spent in all sections in real time, this will serve us to send to the vehicles the right estimated time of arrival all along their journey and the optimal route to attain their destination. This database is useful to utilize it like inputs for machine learning to predict the places and times where the probability of accidents is higher. The experimental results prove that our method permits us to avoid congestions and apportion the load of vehicles in all roads effectively, also it contributes to road safety.
A Method for Predicting Vehicles Motion Based on Road Scene Reconstruction an...ITIIIndustries
The suggested method helps predicting vehicles movement in order to give the driver more time to react and avoid collisions on roads. The algorithm is dynamically modelling the road scene around the vehicle based on the data from the onboard camera. All moving objects are monitored and represented by the dynamic model on a 2D map. After analyzing every object’s movement, the algorithm predicts its possible behavior.
Smart Traffic Monitoring System based on vehicle counts.IRJET Journal
This document describes a proposed smart traffic monitoring system that uses image processing and vehicle detection to optimize traffic light timing based on real-time vehicle counts. Video is captured from traffic cameras and processed using OpenCV algorithms to detect and count vehicles on each road. These counts are sent to an onboard traffic management unit (Node MCU) which calculates and adjusts the green light times for each road proportionately based on vehicle density, aiming to reduce traffic congestion and waiting times. Future improvements could include detecting traffic violations and accidents.
The Integrated Railways Information System uses GPS to automatically display the next arriving station and distance remaining for passengers on trains. It retrieves location data from GPS and compares it to station locations in a database to determine proximity. This information is then sent to LED displays on each train coach to keep passengers informed in real time.
Predictive Data Dissemination in VanetDhruvMarothi
Predictive Data Dissemination in Vanet aims to efficiently disseminate data in vehicular ad hoc networks (VANETs) by using predictive mechanisms. The presented techniques take advantage of GPS and map data to select vehicles that will further broadcast information to designated areas. Simulation results showed these techniques can alleviate broadcast storms while effectively disseminating data in both urban and highway scenarios. The document discusses several challenges for future work, including intermittent connectivity, high mobility, heterogeneous vehicles, privacy and security, and enabling network intelligence in large-scale VANETs.
An Overview of Traffic Accident Detection System using IoTIRJET Journal
This document discusses various technologies for automatic traffic accident detection using IoT (Internet of Things). It provides an overview of existing technologies such as the Gaussian mixture model, use of GPS and IoT, alcohol sensors with Arduino, support vector machines, MEMS, deep learning models, and image handling with machine learning. It then describes a proposed system that uses an Arduino microcontroller along with gyro sensors, GPS, and GSM to detect accidents and send location information and alerts to emergency services. The system aims to provide timely emergency response to save lives by automatically detecting accidents and notifying authorities.
Congestion control & collision avoidance algorithm in intelligent transportationIAEME Publication
This document discusses algorithms and a proposed system for congestion control and collision avoidance in intelligent transportation systems. It proposes an open source model architecture with centralized routing nodes at intersections that communicate wirelessly with vehicles. The routing nodes calculate distances and assign speeds, lanes, and times slots to vehicles to avoid collisions when crossing intersections. Vehicles are fitted with sensors and computers to dynamically control acceleration, braking, and steering based on data from the routing nodes. The goal is to develop a system using DSRC and GPS to safely route autonomous vehicles from any starting point to destination without collisions.
A presentation pertaining to the integration of real-time data to the cloud with significant potential in the areas of Industrial IT,Real-time sensor information processing and Smart grids applied to various vertical industries. This is related to my blog post at www.cloudshoring.in
(Paper) A Method for Sharing Traffic Jam Information using Inter-Vehicle Comm...Naoki Shibata
Shibata, N., Terauchi, T., Kitani, T., Yasumoto, K., Ito, M., Higashino, T.: A Method for Sharing Traffic Jam Information Using Inter-Vehicle Communication, The 2nd International Workshop on Vehicle-to-Vehicle Communications (V2VCOM) (Mobiquitous2006 Workshop), pp. 1-7, DOI:10.1109/MOBIQ.2006.340428 (July 2006) (invited paper).
http://ito-lab.naist.jp/themes/pdffiles/060725.shibata.v2vcom06.pdf
In this paper, we propose a method for cars to autonomously and cooperatively collect traffic jam statistics to estimate arrival time to destination for each car using inter-vehicle communication. In the method, the target geographical region is divided into areas, and each car measures time to pass through each area. Traffic information is collected by exchanging information between cars using inter-vehicle communication. In order to improve accuracy of estimation, we introduce several mechanisms to avoid same data to be repeatedly counted. Since wireless bandwidth usable for exchanging statistics information is limited, the proposed method includes a mechanism to categorize data, and send important data prior to other data. In order to evaluate effectiveness of the proposed method, we implemented the method on a traffic simulator NETSTREAM developed by Toyota Central R&D Labs, conducted some experiments and confirmed that the method achieves practical performance in sharing traffic jam information using inter-vehicle communication.
This document describes a collision communication system that detects vehicle collisions and wirelessly transmits crash data and vehicle identification numbers (VINs). It uses an accelerometer to detect collisions and an Xbee transceiver to send data to other vehicles involved. The data is stored on an SD card and can also be read on an LCD display. The system is intended to help identify vehicles in hit-and-run accidents by logging collision details and VINs. A prototype was created using an Arduino, accelerometer, Xbee, data logger, and LCD display.
FirstEnergy Service Company on behalf of its transmission owning affiliates determined there was a need to improve the accuracy and speed of its fault location process especially for the 138 and 69 kV system. This system is heavily tapped with industrial customers and substations. The main objective of this project was to see if the need to call out staff, usually overnight, to run the fault-location program could be eliminated for the majority of faults that occur in a pilot/test area.
The overall objective of this effort is to reduce the time to determine where a fault has occurred with sufficient certainty to route field crews to the location of the fault quickly and improve restoration times. At some locations, there may be the ability to sectionalize the 69 kV or 138 kV transmission network so that operations staff can begin restoring customers in areas not directly affected by the faulted line section.
This update paper will provide additional details regarding the implementation of the analytics methods and data handling and transformation required to fully automate the process. Furthermore, a recent enhancement in the automated determination of the appropriate fault current to use will be provided. This enhancement more appropriately removes the impact of the DC offset often present within the fault measurement made by the digital fault recorder.
Sensors gather minute bits of data that are valuable when aggregated and processed to extract intelligence. A whole new generation of business solutions are emerging from the data gathered from M2M.
The document discusses a machine-to-machine (M2M) monitoring system called the eMonitoring system (eMs) that was developed to continuously monitor construction sites in a cost-effective way. The eMs connects sensors to detect structural movements and sends the data via GPRS to a central server. If sensor readings exceed preset thresholds, SMS alerts are automatically sent within 60 seconds. This allows potential site failures to be identified early and avoided. The eMs was successfully used to monitor strut forces during a tunnel construction project in Singapore.
Don Talend Energy Industry Content PortfolioDon Talend
Don Talend is a contributing editor for Forester Media who wrote over 100 long-form technical sustainability articles for publications like Distributed Energy and Business Energy, generating $500,000 in ad sales. As an energy expert, he has authored articles about how a produce company, dairy producer and regional shopping mall optimized their energy use for different business needs, how organizations deployed backup power systems to maintain critical operations, and how several facilities realized power and heating cost efficiencies through combined heat and power implementations.
Don Talend Energy-Efficient Lighting ArticleDon Talend
This document discusses two case studies of organizations that upgraded their lighting systems. In the first case, Ampro Sports upgraded the lighting in their athletic fieldhouse from metal halide to induction lighting. This is projected to save over $292,000 over 10 years through lower energy costs and maintenance savings. The payback period is estimated to be around one quarter. The second case discusses a hospital that upgraded lighting on one floor, including LED exam lights and other efficient fixtures. This is projected to save $90,000 in electrical costs for 2010. Both cases found that the efficient lighting upgrades provided financial and other benefits with rapid payback periods of around a quarter or 5 years.
Advanced High Speed Black Box Based Vehicle Crash Investigation Systemijtsrd
This document describes a proposed vehicle black box system that records data during crashes to aid in accident investigations. It would include sensors to monitor speed, location via GPS, and video footage via front and back cameras. The data would be stored temporarily in memory and could then be retrieved for analysis after a crash. The system aims to objectively determine the causes and sequence of events leading up to and during accidents. This could help insurance claims and reduce pending cases by providing clear evidence.
Discernment Pothole with Autonomous Metropolitan VehicleIRJET Journal
This document describes a system to detect potholes using sensors on vehicles and communicate detected pothole locations and characteristics to a server and mobile application. The system uses an accelerometer to detect when a vehicle hits a pothole and records the location using GPS. This data is sent to a server which aggregates pothole information. A mobile app called "ROAD MODE" then warns drivers about upcoming potholes based on the aggregated data. The document discusses the system architecture, objectives to provide accurate and low-cost pothole profiling, working modules to sense and communicate pothole data, and experiments evaluating the impact of factors like vehicle speed and phone placement on detection accuracy. It found the system could estimate poth
1) The document discusses a technical presentation on embedded systems for automating cars. It describes how embedded systems combine hardware and software to perform tasks with minimal human intervention.
2) Autonomous vehicles are discussed as an example of an embedded system. Sensors, GPS, and advanced computer control allow vehicles to drive themselves without human input.
3) The presentation outlines the various components that would need to work together, such as sensors, computer processing, and network communication, to allow vehicles to navigate roads automatically while avoiding collisions.
IRJET-Intelligent Internet of Things in Shipping IndustryIRJET Journal
1. The document discusses how introducing Internet of Things (IoT) and artificial intelligence technologies can help optimize operations in the shipping industry.
2. Key applications proposed include using sensors and computer vision to automatically track cargo containers, using machine learning to determine optimal loading and routes, and monitoring ship conditions and performance.
3. By connecting systems onboard ships to company servers via IoT, real-time data sharing and predictive analytics can help reduce costs, improve safety and security, and provide accurate navigation assistance across global shipping networks.
Privacy-Preserving Cloud-based Road Condition Monitoring with Source Authenti...JAYAPRAKASH JPINFOTECH
Privacy-Preserving Cloud-based Road Condition Monitoring with Source Authentication in VANETs
To buy this project in ONLINE, Contact:
Email: jpinfotechprojects@gmail.com,
Website: https://www.jpinfotech.org
IMPROVE THE PERFORMANCE OF THE CNPV PROTOCOL IN VANET NETWORKSIAEME Publication
The document describes a proposed model to improve the performance of the CNPV protocol in VANET networks. The model uses a series of location verification tests instead of the exhaustive tests used in CNPV, with the goal of identifying misbehaving vehicles while reducing computational overhead and the number of messages exchanged. Simulation results showed the approach could identify up to 90% of vehicles sending false location information while exchanging ten times fewer messages than other research, improving efficiency and accuracy.
Control of Traffic Signals by AI based Image ProcessingIRJET Journal
The document describes a proposed system to control traffic signals using artificial intelligence based image processing. A live video feed from CCTV cameras at intersections would be used to calculate traffic density in real-time by detecting vehicles in each lane using the YOLO object detection algorithm. The number and type of detected vehicles would determine the duration of the green light for each lane, making the system adaptive to current traffic conditions. This is aimed to reduce delays, congestion, and air pollution compared to traditional static traffic light systems. A simulation was developed using Pygame to demonstrate the concept.
Big data traffic management in vehicular ad-hoc network IJECEIAES
Today, the world has experienced a new trend with regard to data system management, traditional database management tools have become outdated and they will no longer be able to process the mass of data generated by different systems, that's why big data is there to process this mass of data to bring out crucial information hidden in this data, and without big data technologies the treatment is very difficult to manage; among the domains that uses big data technologies is vehicular ad-hoc network to manage their voluminous data. In this article, we establish in the first step a method that allow to detect anomalies or accidents within the road and compute the time spent in each road section in real time, which permit us to obtain a database having the estimated time spent in all sections in real time, this will serve us to send to the vehicles the right estimated time of arrival all along their journey and the optimal route to attain their destination. This database is useful to utilize it like inputs for machine learning to predict the places and times where the probability of accidents is higher. The experimental results prove that our method permits us to avoid congestions and apportion the load of vehicles in all roads effectively, also it contributes to road safety.
A Method for Predicting Vehicles Motion Based on Road Scene Reconstruction an...ITIIIndustries
The suggested method helps predicting vehicles movement in order to give the driver more time to react and avoid collisions on roads. The algorithm is dynamically modelling the road scene around the vehicle based on the data from the onboard camera. All moving objects are monitored and represented by the dynamic model on a 2D map. After analyzing every object’s movement, the algorithm predicts its possible behavior.
Smart Traffic Monitoring System based on vehicle counts.IRJET Journal
This document describes a proposed smart traffic monitoring system that uses image processing and vehicle detection to optimize traffic light timing based on real-time vehicle counts. Video is captured from traffic cameras and processed using OpenCV algorithms to detect and count vehicles on each road. These counts are sent to an onboard traffic management unit (Node MCU) which calculates and adjusts the green light times for each road proportionately based on vehicle density, aiming to reduce traffic congestion and waiting times. Future improvements could include detecting traffic violations and accidents.
The Integrated Railways Information System uses GPS to automatically display the next arriving station and distance remaining for passengers on trains. It retrieves location data from GPS and compares it to station locations in a database to determine proximity. This information is then sent to LED displays on each train coach to keep passengers informed in real time.
Predictive Data Dissemination in VanetDhruvMarothi
Predictive Data Dissemination in Vanet aims to efficiently disseminate data in vehicular ad hoc networks (VANETs) by using predictive mechanisms. The presented techniques take advantage of GPS and map data to select vehicles that will further broadcast information to designated areas. Simulation results showed these techniques can alleviate broadcast storms while effectively disseminating data in both urban and highway scenarios. The document discusses several challenges for future work, including intermittent connectivity, high mobility, heterogeneous vehicles, privacy and security, and enabling network intelligence in large-scale VANETs.
An Overview of Traffic Accident Detection System using IoTIRJET Journal
This document discusses various technologies for automatic traffic accident detection using IoT (Internet of Things). It provides an overview of existing technologies such as the Gaussian mixture model, use of GPS and IoT, alcohol sensors with Arduino, support vector machines, MEMS, deep learning models, and image handling with machine learning. It then describes a proposed system that uses an Arduino microcontroller along with gyro sensors, GPS, and GSM to detect accidents and send location information and alerts to emergency services. The system aims to provide timely emergency response to save lives by automatically detecting accidents and notifying authorities.
Congestion control & collision avoidance algorithm in intelligent transportationIAEME Publication
This document discusses algorithms and a proposed system for congestion control and collision avoidance in intelligent transportation systems. It proposes an open source model architecture with centralized routing nodes at intersections that communicate wirelessly with vehicles. The routing nodes calculate distances and assign speeds, lanes, and times slots to vehicles to avoid collisions when crossing intersections. Vehicles are fitted with sensors and computers to dynamically control acceleration, braking, and steering based on data from the routing nodes. The goal is to develop a system using DSRC and GPS to safely route autonomous vehicles from any starting point to destination without collisions.
A presentation pertaining to the integration of real-time data to the cloud with significant potential in the areas of Industrial IT,Real-time sensor information processing and Smart grids applied to various vertical industries. This is related to my blog post at www.cloudshoring.in
(Paper) A Method for Sharing Traffic Jam Information using Inter-Vehicle Comm...Naoki Shibata
Shibata, N., Terauchi, T., Kitani, T., Yasumoto, K., Ito, M., Higashino, T.: A Method for Sharing Traffic Jam Information Using Inter-Vehicle Communication, The 2nd International Workshop on Vehicle-to-Vehicle Communications (V2VCOM) (Mobiquitous2006 Workshop), pp. 1-7, DOI:10.1109/MOBIQ.2006.340428 (July 2006) (invited paper).
http://ito-lab.naist.jp/themes/pdffiles/060725.shibata.v2vcom06.pdf
In this paper, we propose a method for cars to autonomously and cooperatively collect traffic jam statistics to estimate arrival time to destination for each car using inter-vehicle communication. In the method, the target geographical region is divided into areas, and each car measures time to pass through each area. Traffic information is collected by exchanging information between cars using inter-vehicle communication. In order to improve accuracy of estimation, we introduce several mechanisms to avoid same data to be repeatedly counted. Since wireless bandwidth usable for exchanging statistics information is limited, the proposed method includes a mechanism to categorize data, and send important data prior to other data. In order to evaluate effectiveness of the proposed method, we implemented the method on a traffic simulator NETSTREAM developed by Toyota Central R&D Labs, conducted some experiments and confirmed that the method achieves practical performance in sharing traffic jam information using inter-vehicle communication.
This document describes a collision communication system that detects vehicle collisions and wirelessly transmits crash data and vehicle identification numbers (VINs). It uses an accelerometer to detect collisions and an Xbee transceiver to send data to other vehicles involved. The data is stored on an SD card and can also be read on an LCD display. The system is intended to help identify vehicles in hit-and-run accidents by logging collision details and VINs. A prototype was created using an Arduino, accelerometer, Xbee, data logger, and LCD display.
FirstEnergy Service Company on behalf of its transmission owning affiliates determined there was a need to improve the accuracy and speed of its fault location process especially for the 138 and 69 kV system. This system is heavily tapped with industrial customers and substations. The main objective of this project was to see if the need to call out staff, usually overnight, to run the fault-location program could be eliminated for the majority of faults that occur in a pilot/test area.
The overall objective of this effort is to reduce the time to determine where a fault has occurred with sufficient certainty to route field crews to the location of the fault quickly and improve restoration times. At some locations, there may be the ability to sectionalize the 69 kV or 138 kV transmission network so that operations staff can begin restoring customers in areas not directly affected by the faulted line section.
This update paper will provide additional details regarding the implementation of the analytics methods and data handling and transformation required to fully automate the process. Furthermore, a recent enhancement in the automated determination of the appropriate fault current to use will be provided. This enhancement more appropriately removes the impact of the DC offset often present within the fault measurement made by the digital fault recorder.
Sensors gather minute bits of data that are valuable when aggregated and processed to extract intelligence. A whole new generation of business solutions are emerging from the data gathered from M2M.
The document discusses a machine-to-machine (M2M) monitoring system called the eMonitoring system (eMs) that was developed to continuously monitor construction sites in a cost-effective way. The eMs connects sensors to detect structural movements and sends the data via GPRS to a central server. If sensor readings exceed preset thresholds, SMS alerts are automatically sent within 60 seconds. This allows potential site failures to be identified early and avoided. The eMs was successfully used to monitor strut forces during a tunnel construction project in Singapore.
Don Talend Energy Industry Content PortfolioDon Talend
Don Talend is a contributing editor for Forester Media who wrote over 100 long-form technical sustainability articles for publications like Distributed Energy and Business Energy, generating $500,000 in ad sales. As an energy expert, he has authored articles about how a produce company, dairy producer and regional shopping mall optimized their energy use for different business needs, how organizations deployed backup power systems to maintain critical operations, and how several facilities realized power and heating cost efficiencies through combined heat and power implementations.
Don Talend Energy-Efficient Lighting ArticleDon Talend
This document discusses two case studies of organizations that upgraded their lighting systems. In the first case, Ampro Sports upgraded the lighting in their athletic fieldhouse from metal halide to induction lighting. This is projected to save over $292,000 over 10 years through lower energy costs and maintenance savings. The payback period is estimated to be around one quarter. The second case discusses a hospital that upgraded lighting on one floor, including LED exam lights and other efficient fixtures. This is projected to save $90,000 in electrical costs for 2010. Both cases found that the efficient lighting upgrades provided financial and other benefits with rapid payback periods of around a quarter or 5 years.
The document discusses how the Braintree Electric Light Department (BELD) installed two Rolls Royce gas turbines as part of a $110 million power plant repowering project to meet growing energy demands in the region. The turbines provide 116 MW of power during peak demand periods and offer more flexibility than traditional combined cycle plants. They can go from cold start to full power in under 10 minutes, allowing them to rapidly respond to fluctuations in power supply and demand. Having operated for a few years, BELD has found the new turbines to be more cost-effective than the previous plant, lowering electricity rates and saving significant costs during peak demand periods.
Don Talend Uninterruptible Power Supply ArticleDon Talend
This document discusses various backup power solutions used by different companies. It describes how Profitability.net installed redundant CleanSource UPS flywheel systems to ensure uninterrupted power. It also discusses how Atlantic.net expanded its UPS capacity with modular Eaton BladeUPS systems to accommodate growth while minimizing energy costs. Additionally, it describes how Beth Israel Deaconess Medical Center installed Vycon flywheel UPS systems to help protect its data centers as part of a green initiative.
Don Talend Intelligent Energy Management articleDon Talend
Mission Produce implemented an energy management system (EMS) at its produce ripening and distribution centers to reduce energy costs and participate in utility demand response programs. The EMS allows Mission Produce to monitor and control HVAC and refrigeration systems in real-time, optimizing operations and reducing peak energy use. Since installing the EMS, Mission Produce has reduced its peak energy load by 279 kW on average per month and its monthly energy bills by about one-third, paying for the EMS within 20 months of installation. The EMS provides visibility into operations that allows Mission Produce to continually improve energy efficiency.
Distributed Energy magazine - Intelligent Energy ManagementDon Talend
Mission Produce implemented an energy management system (EMS) at its produce ripening and distribution centers to reduce energy costs and participate in utility demand response programs. The EMS allows Mission Produce to monitor and control HVAC and refrigeration systems in real-time, optimizing operations and reducing peak energy use. Since installing the EMS, Mission Produce has reduced its monthly energy bills by about one-third and peak energy use by 279 kilowatts on average. The EMS paid for itself within 20 months and has led Mission Produce to expand its use to other facilities.
Digital content portfolio, including video, blogs, web content and emails, by Don Talend, brand storytelling, content and demand generation expert, various industries
CertificateOfCompletion_Creating Online Video with Android Phones.pdfDon Talend
Creating Online Video with Android Phones completion certificate, LinkedIn Learning, for Don Talend, brand storytelling, content strategy and demand generation expert, content marketing field
Expert Insights - Social Media Marketing - Skillsoft_Badge.pdfDon Talend
Badge: Expert Insights on Social Media Marketing - Skillsoft course - for Don Talend, brand storytelling, content strategy and demand generation expert, content marketing field
Stepper motors are increasingly being used in high-speed, precision industrial applications due to recent advancements. Hybrid stepper motor designs that include magnets and toothed stators provide improved performance over traditional variable reluctance and permanent magnet designs. Stepper motors maintain an advantage over servo and brushless DC motors for applications requiring both speed and precision due to their higher starting torque, resolution, and reliability. Examples highlighted include high-speed label applicators and barcode scanners, where stepper motors enable speeds over 1,500 inches per minute with precise positioning needed for the application.
Online Marketing Foundations - Certificate of CompletionDon Talend
This certificate of completion was issued to Don Talend in August 2019 for completing an online marketing foundations course through the National Association of State Boards of Accountancy. The course provided 7.80 continuing professional education credits.
Viral Marketing - Certificate of CompletionDon Talend
This certificate of completion certifies that Don Talend completed a continuing education course in September 2020 on viral marketing taught by Jonah Berger. The course provided 1.80 continuing education credits.
Business Storytelling Course CertificateDon Talend
This certificate of completion certifies that Don Talend completed the online course "Business Storytelling with C.C. Chapman" in June 2019, having spent 16 minutes and 9 seconds on the course which updated information in August 2017. The certificate number is 3B22BF62339C4730A2A3ED7CFB03A4BC.
Don Talend Automatic Metering Infrastructure Implementation ArticleDon Talend
Innovative water utilities implement AMI and utilize the data to develop comprehensive loss prevention plans, , brand storytelling, content strategy and demand generation expert. Water processing industry
Don Talend Profit Matters - Profitable Estimating columnDon Talend
Contractor incorporates detailed project management data into its bids and increases its margins, by Don Talend, brand storytelling, content strategy and demand generation expert. Construction industry
Don Talend Mining Shovel Guidance System FlyerDon Talend
GPS-equipped system ensures crane operators optimize machine performance and material excavation, by Don Talend, brand storytelling, content strategy and demand generation expert. Mining industry
In this humorous and data-heavy Master Class, join us in a joyous celebration of life honoring the long list of SEO tactics and concepts we lost this year. Remember fondly the beautiful time you shared with defunct ideas like link building, keyword cannibalization, search volume as a value indicator, and even our most cherished of friends: the funnel. Make peace with their loss as you embrace a new paradigm for organic content: Pillar-Based Marketing. Along the way, discover that the results that old SEO and all its trappings brought you weren’t really very good at all, actually.
In this respectful and life-affirming service—erm, session—join Ryan Brock (Chief Solution Officer at DemandJump and author of Pillar-Based Marketing: A Data-Driven Methodology for SEO and Content that Actually Works) and leave with:
• Clear and compelling evidence that most legacy SEO metrics and tactics have slim to no impact on SEO outcomes
• A major mindset shift that eliminates most of the metrics and tactics associated with SEO in favor of a single metric that defines and drives organic ranking success
• Practical, step-by-step methodology for choosing SEO pillar topics and publishing content quickly that ranks fast
Evaluating the Effectiveness of Women-Focused MarketingHighViz PR
Women centric marketing is a vital part in reaching one of the most influential groups of consumers. Here is a guide to know and measure the impact of women-centric marketing efforts-
We’ve entered a new era in digital. Search and AI are colliding, in more ways than one. And they all have major implications for marketers.
• SEOs now use AI to optimize content.
• Google now uses AI to generate answers.
• Users are skipping search completely. They can now use AI to get answers. So AI has changed everything …or maybe not. Our audience hasn’t changed. Their information needs haven’t changed. Their perception of quality hasn’t changed. In reality, the most important things haven’t changed at all. In this session, you’ll learn the impact of AI. And you’ll learn ways that AI can make us better at the classic challenges: getting discovered, connecting through content and staying top of mind with the people who matter most. We’ll use timely tools to rebuild timeless foundations. We’ll do better basics, but with the most advanced techniques. Andy will share a set of frameworks, prompts and techniques for better digital basics, using the latest tools of today. And in the end, Andy will consider - in a brief glimpse - what might be the biggest change of all, and how to expand your footprint in the new digital landscape.
Key Takeaways:
How to use AI to optimize your content
How to find topics that algorithms love
How to get AI to mention your content and your brand
Mastering Local SEO for Service Businesses in the AI Era"" is tailored specifically for local service providers like plumbers, dentists, and others seeking to dominate their local search landscape. This session delves into leveraging AI advancements to enhance your online visibility and search rankings through the Content Factory model, designed for creating high-impact, SEO-driven content. Discover the Dollar-a-Day advertising strategy, a cost-effective approach to boost your local SEO efforts and attract more customers with minimal investment. Gain practical insights on optimizing your online presence to meet the specific needs of local service seekers, ensuring your business not only appears but stands out in local searches. This concise, action-oriented workshop is your roadmap to navigating the complexities of digital marketing in the AI age, driving more leads, conversions, and ultimately, success for your local service business.
Key Takeaways:
Embrace AI for Local SEO: Learn to harness the power of AI technologies to optimize your website and content for local search. Understand the pivotal role AI plays in analyzing search trends and consumer behavior, enabling you to tailor your SEO strategies to meet the specific demands of your target local audience. Leverage the Content Factory Model: Discover the step-by-step process of creating SEO-optimized content at scale. This approach ensures a steady stream of high-quality content that engages local customers and boosts your search rankings. Get an action guide on implementing this model, complete with templates and scheduling strategies to maintain a consistent online presence. Maximize ROI with Dollar-a-Day Advertising: Dive into the cost-effective Dollar-a-Day advertising strategy that amplifies your visibility in local searches without breaking the bank. Learn how to strategically allocate your budget across platforms to target potential local customers effectively. The session includes an action guide on setting up, monitoring, and optimizing your ad campaigns to ensure maximum impact with minimal investment.
Build marketing products across the customer journey to grow your business and build a relationship with your customer. For example you can build graders, calculators, quizzes, recommendations, chatbots or AR apps. Things like Hubspot's free marketing grader, Moz's site analyzer, VenturePact's mobile app cost calculator, new york times's dialect quiz, Ikea's AR app, L'Oreal's AR app and Nike's fitness apps. All of these examples are free tools that help drive engagement with your brand, build an audience and generate leads for your core business by adding value to a customer during a micro-moment.
Key Takeaways:
Learn how to use specific GPTs to help you Learn how to build your own marketing tools
Generate marketing ideas for your business How to think through and use AI in marketing
How AI changes the marketing game
The digital marketing industry is changing faster than ever and those who don’t adapt with the times are losing market share. Where should marketers be focusing their efforts? What strategies are the experts seeing get the best results? Get up-to-speed with the latest industry insights, trends and predictions for the future in this panel discussion with some leading digital marketing experts.
The advent of AI offers marketers unprecedented opportunities to craft personalized and engaging customer experiences, evolving customer engagements from one-sided conversations to interactive dialogues. By leveraging AI, companies can now engage in meaningful dialogues with customers, gaining deep insights into their preferences and delivering customized solutions.
Susan will present case studies illustrating AI's application in enhancing customer interactions across diverse sectors. She'll cover a range of AI tools, including chatbots, voice assistants, predictive analytics, and conversational marketing, demonstrating how these technologies can be woven into marketing strategies to foster personalized customer connections.
Participants will learn about the advantages and hurdles of integrating AI in marketing initiatives, along with actionable advice on starting this transformation. They will understand how AI can automate mundane tasks, refine customer data analysis, and offer personalized experiences on a large scale.
Attendees will come away with an understanding of AI's potential to redefine marketing, equipped with the knowledge and tactics to leverage AI in staying competitive. The talk aims to motivate professionals to adopt AI in enhancing their CX, driving greater customer engagement, loyalty, and business success.
Capstone Project: Luxury Handloom Saree Brand
As part of my college project, I applied my learning in brand strategy to create a comprehensive project for a luxury handloom saree brand. Key aspects of this project included:
- *Competitor Analysis:* Conducted in-depth competitor analysis to identify market position and differentiation opportunities.
- *Target Audience:* Defined and segmented the target audience to tailor brand messages effectively.
- *Brand Strategy:* Developed a detailed brand strategy to enhance market presence and appeal.
- *Brand Perception:* Analyzed and shaped the brand perception to align with luxury and heritage values.
- *Brand Ladder:* Created a brand ladder to outline the brand's core values, benefits, and attributes.
- *Brand Architecture:* Established a cohesive brand architecture to ensure consistency across all brand touchpoints.
This project helped me gain practical experience in brand strategy, from research and analysis to strategic planning and implementation.
Can you kickstart content marketing when you have a small team or even a team of one? Why yes, you can! Dennis Shiao, founder of marketing agency Attention Retention will detail how to draw insights from subject matter experts (SMEs) and turn them into articles, bylines, blog posts, social media posts and more. He’ll also share tips on content licensing and how to establish a webinar program. Attend this session to learn how to make an impact with content marketing even when you have a small team and limited resources.
Key Takeaways:
- You don't need a large team to start a content marketing program
- A webinar program yields a "one-to-many" approach to content creation
- Use partnerships and licensing to create new content assets
INTRODUCTION TO SEARCH ENGINE OPTIMIZATION (SEO).pptxGiorgio Chiesa
This presentation is recommended for those who want to know more about SEO. It explains the main theoretical and practical aspects that influence the positioning of websites in search engines.
From Subreddits To Search: Maximizing Your Brand's Impact On RedditSearch Engine Journal
The search landscape is undergoing a seismic shift, and Reddit is at the epicenter. Google's Helpful Content Update and its $60 million deal with Reddit, coupled with OpenAI's partnership, have catapulted Reddit's real-time content to unprecedented heights.
Check out this insightful webinar exploring the newfound importance of Reddit in the digital marketing landscape. Learn how these changes make Reddit an essential platform for getting your brand and content in front of evolving search audiences.
You’ll hear:
- The evolution of Reddit as a major influencer on SERPS over the years.
- The impact of recent changes and partnerships on Reddit’s place in search.
- A comprehensive look at Reddit, how it works, and how to approach it.
- Unique engagement opportunities presented by Reddit.
With Brent Csutoras, a Reddit expert with over 18 years of experience on the platform, we’ll delve into the intricacies of Reddit's communities, known as Subreddits, and how to leverage their power without compromising authenticity or violating community guidelines in the age of AI-driven search experiences.
Don't miss this opportunity to stay ahead of the curve and leverage Reddit for your brand's success.
Mindfulness Techniques Cultivating Calm in a Chaotic World.pptxelizabethella096
In today’s fast-paced world, stress and anxiety have become common companions for many. With constant connectivity and an unending stream of information, finding moments of peace can seem like an insurmountable challenge. However, mindfulness techniques offer a beacon of calm amidst the chaos, helping individuals to center themselves and find balance. These practices, rooted in ancient traditions and supported by modern science, are accessible to everyone and can profoundly impact mental and emotional well-being.
Boost Your Instagram Views Instantly Proven Free Strategies.InstBlast Marketing
Supercars use advanced materials and tech for top-speed performance. Join Performance Car Exclusive to experience driving excellence.
https://instblast.com/instagram/free-instagram-views
Mastering Local SEO for Service Businesses in the AI Era"" is tailored specifically for local service providers like plumbers, dentists, and others seeking to dominate their local search landscape. This session delves into leveraging AI advancements to enhance your online visibility and search rankings through the Content Factory model, designed for creating high-impact, SEO-driven content. Discover the Dollar-a-Day advertising strategy, a cost-effective approach to boost your local SEO efforts and attract more customers with minimal investment. Gain practical insights on optimizing your online presence to meet the specific needs of local service seekers, ensuring your business not only appears but stands out in local searches. This concise, action-oriented workshop is your roadmap to navigating the complexities of digital marketing in the AI age, driving more leads, conversions, and ultimately, success for your local service business.
Key Takeaways:
Embrace AI for Local SEO: Learn to harness the power of AI technologies to optimize your website and content for local search. Understand the pivotal role AI plays in analyzing search trends and consumer behavior, enabling you to tailor your SEO strategies to meet the specific demands of your target local audience. Leverage the Content Factory Model: Discover the step-by-step process of creating SEO-optimized content at scale. This approach ensures a steady stream of high-quality content that engages local customers and boosts your search rankings. Get an action guide on implementing this model, complete with templates and scheduling strategies to maintain a consistent online presence. Maximize ROI with Dollar-a-Day Advertising: Dive into the cost-effective Dollar-a-Day advertising strategy that amplifies your visibility in local searches without breaking the bank. Learn how to strategically allocate your budget across platforms to target potential local customers effectively. The session includes an action guide on setting up, monitoring, and optimizing your ad campaigns to ensure maximum impact with minimal investment.
Mastering SEO for Google in the AI Era - Dennis Yu
Using Information Byproducts
1. W
hen I think about the stereo-
types of “technophobia” and
environmental unfriendliness
the public has hung on our industry,
I’m reminded of Michael Crichton’s
The Andromeda Strain. One of a group
of scientists analyzing a mysterious
pathogen from space figures out how
the awful thing grows and remarks,
“Andromeda consumes everything,
wastes nothing.” With those words
he might as well have described our
industry, which routinely recycles fly
ash, slag, and wastewater.
Now comes the informational
counterpart to material reuse. Just
imagine how powerful the ability to
track operating data from several
components of a concrete delivery
truck would be. The data have al-
ways existed; the question has been
how to capture and put them to
good use.
Such uses of otherwise wasted
information byproducts must have
inspired the developers of Tracer-
NET Corp.’s Intelligent Mobile
Asset Tracking (IMAT) platform. I
got a glimpse of the information
recycling future at the company’s
World of Concrete booth in Las
Vegas last March.
Unique to the system is a
Mobile Data Unit (MDU) equipped
with a Global Positioning System
(GPS) receiver and a wireless Inter-
net Protocol (IP) modem. The
MDU can interface with up to
about 20 truck components, such as
the engine in a mixer truck or
flatbed truck or a truck-mounted
mixer. This system provides two-
way text messaging as well as auto-
matic vehicle location (AVL) with-
out driver intervention like several
others, but the similarities end
there. A traditional limitation of
AVL systems is their inability to
pinpoint truck waiting time, since
GPS can’t provide real-time status
by itself. This system overcomes
this limitation by processing operat-
ing data. The large company can
integrate the system with an exist-
ing network, and the small compa-
ny can use the Internet to send data
through TracerNET’s servers.
The MDU senses drum direc-
tion and uses mathematical algo-
rithms to sense whether a truck is
charging or discharging, and it sends
this data back to the dispatch com-
puter via modem. The “begin pour”
time stamp is determined easily
enough. “End pour” is a little tricki-
er to determine when the contrac-
tor wants a few yards of concrete
here and more over there. In this
case, the system can be adjusted to
report several begin-pour and end-
pour readings per truck.
The dispatcher can draw appro-
priate location “hot zones” on the
computer screen with a mouse or by
entering a street address. The system
can report “leave job” and “back at
plant” time stamps automatically by
measuring time interval against
E - C O N C R E T E
Byproductsᮣ Web-enabled on-board intelligence reveals just
how efficiently a fleet is operating.
The Intelligent Mobile Asset Tracking (IMAT) platform converts operational
data from truck components—an engine or truck-mounted mixer, for
example—to useful dispatching and maintenance information.
Using Information
TracerNET