Browse Topic: Real-time data

Items (240)

Background Filtering and Target Detection for Traffic Objects with Roadside LiDAR Point Cloud Data

2025-01-719303/19/2025

Roadside perception technology is an essential component of traffic perception technology, primarily relying on various high-performance sensors. Among these, LiDAR stands out as one of the most effective sensors due to its high precision and wide detection range, offering extensive application prospects. This study proposes a voxel density-nearest neighbor background filtering method for roadside LiDAR point cloud data. Firstly, based on the relatively fixed nature of roadside background point clouds, a point cloud filtering method combining voxel density and nearest neighbor is proposed. This method involves voxelizing the point cloud data and using voxel grid density to filter background point clouds, then the results are processed through a neighbor point frame sequence to calculate the average distance of the specified points and compare with a distance threshold to complete accurate background filtering. Secondly, a VGG16-Pointpillars model is proposed, incorporating a CNN

Liu, Zhiyuan, Rui, Yikang

Estimation of gear utilization and durability test specifications through Virtual Road Torque Data Collection for Light Commercial Vehicles.

2024-26-025701/16/2024

The automotive world is rapidly moving towards achieving shorter lead time using high-end technological solutions by keeping up with day-to-day advancements in virtual testing domain. With increasing fidelity requirements in test cases and shorter project lead time, the virtual testing is an inevitable solution. This paper illustrates method adopted to achieve best approximation to emulate driver behavior with 1-D (one dimensional) simulation based modeling approach. On one hand, the physical testing needs huge data collection of various parameters using sensors mounted on the vehicle. The vehicle running on road provides the real time data to derive durability test specifications. One such example includes developing duty cycle for powertrain durability testing using Road Torque Data Collection (RTDC) technique. This involves intense physical efforts, higher set-up cost, frequent iterations, vulnerability to manual errors and causing longer test lead-time. Whereas, on the other hand

Purohit, Suryakant, Mullapudi, Dattatreyudu, Shevate, Hemant, Chaskar, Mithun

Model Based NVH Simulator for Virtual Development

2025-01-005905/05/2023

For mature virtual development, enlarging coverage of performances and driving conditions comparable with physical prototype is important. The subjective evaluation on various driving conditions to find abnormal or nonlinear phenomenon as well as objective evaluation becomes indispensable even in virtual development stage. From the previous research, the road noise had been successfully predicted and replayed from the synthesis of system models. In this study, model based NVH simulator dedicated to virtual development have been implemented. At first, in addition to road noise, motor noise was predicted from experimental models such as blocked force and transfer function of motor, mount and body according to various vehicle conditions such as speed and torque. Next, to convert driver’s inputs such as acceleration and brake pedal, mode selection button and steering wheel to vehicle condition, 1-D performance model was generated and calibrated. Finally, the audio and visual feedback

Park, Sangyoung, Dirickx, Tom, Kang, Yeon June, Nam, Jeong Min

CONNECTED IGGS WITH REAL TIME DATA ACCESS & AI-ML APPROACH FOR PREDICTIVE-PROGNOSTICS MAINTENANCE

2022-26-122205/26/2022

The purpose of the On-Board Inert Gas Generation System (OBIGGS) is to reduce the amount of oxygen in the fuel tank to a ‘safe’ level to significantly reduce the possibility of ignition of fuel vapors. There are circumstances where equipment’s like Air Separation Modules (ASM) etc. gets degraded earlier then the provided Mean Time Between Failures (MTBF). A connected solution for the IGGS is the technology to access real time data (Systems Line Replaceable Unit Performance data and Custom data Parameters) from the Systems controller data bus. This data further applied to compare why performance of the ASMs in some systems may degrade quicker than others. This paper studies the present conventional systems limitations in which like faults and limited shop data is being recorded. Due to memory constraints there is no provision to store/report the stream of data margins with which we pass/fail the certain efficiency tests. This paper also explains how a new design of Connected concept

Kumar, Naveen, Kotnadh, Shivaprasad, MorkondaHaribapu cEng, Arvind, Kanneboyina cEng, Rajesh, Rao cEng, Manjunatha

Application of a Digital Twin Virtual Engineering Tool for Ground Vehicle Maintenance Forecasting

2022-01-043403/29/2022

The integration of sensors, actuators and real time control in transportation systems enables intelligent system operation to minimize energy consumption and maximize occupant safety and vehicle reliability. The operating cycle of military ground vehicles can be on- and off-road in adverse environments which places a demand on continuous subsystem functionality to fulfill missions. On–board diagnostic systems can alert the operator of degraded operation once established fault thresholds are passed. An opportunity exists to estimate vehicle maintenance needs using model-based predicted trends and compiled information from fleet operating databases. A digital twin, created to virtually describe the dynamic behavior of a physical system using computer mathematical models, can estimate the system behavior based on current and future operating scenarios while accounting for past operating effects. In this manner, the collection of real time data of the physical vehicle can be constantly

Eddy, Conner, WAGNER, Adam, Wagner, JOHN, Castanier, Matthew

Digitalization of a climate and altitude simulation test bench for handheld power tools to automate its thermal management system

2022-01-072703/29/2022

Mechanical systems accomplish their tasks better when enhanced with cyber technologies. With the rapidly escalating desire for high efficiency, optimization and flexibility, these physical systems ought to be integrated with cyber technologies that enhance exhaustive manipulation of resources and unsurpassed productivity. The gateway for such a synergetic integration can be referred to as digitization. Details regarding the digitization of a High-altitude Simulation chamber are discussed thoroughly in this paper. The simulation chamber was originally designed and developed as a test bench to study the characteristics of alternative fuels used in the engines of handheld tools in different altitudes and thermal conditions. It encompasses all the possible realistic temperature variations with altitude raising to 3500m above sea level. Since the testbed’s effectiveness is highly dependent on achieving a combination of desired temperature and altitude values to maintain them for a defined

Nenninger, Philipp, Hadamek, Christof, Renner, Marius, Derbie, Arsema, Kettner, Maurice, Aslan, Ferhat

Study the impact of Engine and Vehicle level parameters for reduction in Engine Oil Consumption for advanced emission architecture

2022-01-071303/29/2022

Automotive industry has seen implementation of advanced emission regulations like BS-VI in India along with growing market demand for increased product performance and reduction in total cost of ownership. This has made the engine architecture more intricate leading to complex interaction among engine and vehicle level parameters. It poses a challenge to understand mechanism and underlying physics for achieving product attributes like increased power density, higher fluid economy and reduced oil consumption. The current paper focusses on reducing engine oil consumption across diverse duty cycles using simulation tools, vehicle data analytics and design of experiments. The contribution of oil consumption mechanisms viz. oil evaporation, oil throw and oil transport are identified across different loads and duty cycles patterns. Piston ring dynamics simulation has been used to identify critical piston and ring parameters impacting oil consumption through directional trends. Design of

Gautam, Navneet

Derivation of test schedule for Lift axle assembly using Real time data and accelerated testing approach

2021-26-048609/22/2021

This paper provides the information on approach and the methodology used for testing and validation of complete lift axle assembly in Laboratory. Issues & limitations faced in real time reproduction of test track signals in laboratory and the reasons thereof are discussed. Evaluation of complete Lift axle system on vehicle is time taking and inclusive of lot of expenses and effort, as there might be failures in other aggregates. To develop the test procedure rigorous road load data need to be done at vehicle level. During this vehicle need to be driven various proving tracks that represents mixed service road conditions. Vehicle level data is recorded with help of commercially available sensors and data loggers at various locations of the subsystems. The vital role the "Accelerating testing" can play in cutting down the validation time and improving the product reliability is duly emphasized. The importance of correlation between 'accelerated test' and real time test' for authenticity

Ayyagari, Chandrashekhar, Barde, Rakesh Prabhakar, Shinde, Vikram V, Kajalkar, Atul M

Machine learning based model development with annotated database for Indian Specific object detection

2021-26-012709/22/2021

Now-a-days, Advanced driver-assistance systems (ADAS) is equipping cars and drivers with advance information and technology to make them become aware of the environment and handle potential situations in better way semi-autonomously. High-quality training and test data is essential in the development and validation of ADAS systems which lay the foundation for autonomous driving technology. ADAS uses the technology like radar, vision and combinations of various sensors including LIDAR to automatize dynamic driving tasks like steering, braking, and acceleration of vehicle for controlled and safe driving. And to integrate these advance technologies, the ADAS needs labeled data to train the algorithm to detect the various objects and moments of driver. Image annotation is one the well-known service to create such training data for computer vision. There are number of open source annotated datasets available viz. COCO, KITTI etc. But these datasets are limited to either US or European road

Pachhapurkar, Ninad, Shah, Rathin, Kale, Jyoti, Karle, Manish, Karle, Ujjwala

Integrating QC Measurement Data into Manufacturing Systems

TBMG-3848002/01/2021

COVID-19 Drives Data Acquisition & Analytics Evolution

TBMG-3799411/01/2020

Data acquisition strategies are evolving in the era of COVID-19, driven by increased requirements for remote data visualization and real-time, data-driven decisions. Human-machine interface (HMI) and supervisory control and data acquisition (SCADA) systems are becoming even more important to achieve digital transformation because they can perform analytics on edge devices, providing the agility and resilience fundamental to success.

Biosensor Enables Real-Time Oxygen Monitoring for Organs-On-A-Chip

TBMG-3797711/01/2020

The organ-on-a-chip concept creates small-scale biological structures that mimic a specific organ function such as transferring oxygen from the air into the bloodstream in the same way that a lung does. The goal is to use these organs-on-a-chip — also called microphysiological models — to expedite high-throughput testing to assess toxicity or to evaluate the effectiveness of new drugs.

Rationale, Considerations, and Framework for Data Interoperability for Health Management within the Aerospace Ecosystem

AIR6904-TEST-REC (Historical)04/21/2020

This SAE Aerospace Information Report (AIR) offers an overview of the aspects of intellectual property (IP) protection, legislative compliance, business model, and technologies which need to be considered and addressed to implement a data interoperability, secure business model and technology platform to enable prognostics and health management (PHM) in the digital age. While this information report is restricted to the aerospace domain and also to commercial aviation, the concepts are applicable to any other domain that employs data for supporting health management functionality.

G-31 Electronic Transactions for Aerospace Committee

Rationale, Considerations, and Framework for Data Interoperability for Health Management within the Aerospace Ecosystem

AIR6904 (Current)

04/21/2020

G-31 Electronic Transactions for Aerospace Committee

Using Polygot Persistence with NoSQL Databases for Streaming Multimedia, Sensor, and Messaging Services in Autonomous Vehicles

2020-01-094204/14/2020

The explosion of big data has created challenges for both cloud-based systems and Autonomous Vehicles (AVs) in data collection and management. The same challenges are now being realized in developing databases for integrated sensors, streaming, real-time and on-demand services in AVs. With just one AV expecting to generate over 30 Terabytes of data a day, modern NoSQL databases provide opportunities to horizontally scale AV data seamlessly. NoSQL provides solutions designed to accommodate a wide variety of data models such as, key-value, document, column and graph databases. Key-value stores are by nature scalable, fast processing, and distribute horizontally. These databases are tasked with handling several data types including IoT, radar, lidar, ultra-sonic sensors, GPS, odometry, and sensor data while providing streaming and real-time services. NoSQL can store and utilize structured, semi-structured, and unstructured data necessary for multimedia storage needs. NoSQL databases such

Brown, Kyle W.

Multiple Sensors Aid in Development of an Electrical Vertical Takeoff and Landing Aircraft

TBMG-3615703/01/2020

Beta Technologies (South Burlington, VT) has built a prototype Electrical Vertical Takeoff and Landing aircraft (eVTOL) and is putting it through the wringer. They are using wireless sensor systems from Parker LORD, MicroStrain® Sensing Systems (Williston, VT) to monitor the structures and functions of the prototype, both on a test stand and in flight.

5G in Manufacturing: What’s Here and What’s to Come

TBMG-3596702/01/2020

Industry 4.0 — the term that originated in Germany to describe the fourth industrial revolution of cyber-physical systems — is being closely connected today with 5G, which is often referred to as the fifth-generation mobile network. This connection allows manufacturers to further improve factory automation, human/machine interfaces, and mobility in their processes.

Underwater Signal Processing System

TBMG-3605402/01/2020

DSIT Solutions Ltd. Givat Shmuel, Israel +972-3-531-3333

The Future of Connected Health

TBMG-3577801/01/2020

The three main global goals of healthcare continue to be: improving the quality of care, universal access to care, and keeping costs under control. Technologies and remote connected healthcare are touted as the means to achieve the above goals, but the road may be long and winding. The encouraging news is that many innovators and start-ups are determined to make that happen.

Adaptive Spatial Resolution Enables Focused Fiber Optic Sensing

TBMG-3572512/01/2019

This advanced fiber optic sensing innovation developed at NASA’s Armstrong Flight Research Center offers a unique combination of high-resolution processing and flexibility. The algorithm was originally developed to enhance Armstrong’s multi-patented Fiber Optic Sensing System (FOSS). With over 2,000 sensors per fiber, FOSS enables thousands of high-resolution measurements at once including strain, shape, temperature, pressure, and more.

Digital Twins for Prognostic Profiling

2019-28-245611/21/2019

Ability to have least failures in products on the field with minimum effort from the manufacturers is a major area of focus driven by Industry 4.0 initiatives. Amidst traditional methods of performing system/subsystem level tests often does not enable the complete coverage of a machine health performance predictions. This paper highlights a workable workflow that could be used as a template while considering system design especially employing Digital Twins that help in mimicking real-life scenarios early in the design cycle to increase product’s reliability as well as tend to near zero defects. With currently available disruptive technologies, systems integrated multi-domain 'mechatronics' systems operating in closed-loop/close-interaction. This poses great challenge to system health monitoring as failure of any component can trigger catastrophic system failures. It may be the reason that component failures, as per some aerospace reports, are found to be major contributing factors to

Thukaram, Painuri, Mohan, Sreeram

Real World Energy Efficiency Calculation for e-Rickshaws - A Comparative Study (Lead Acid Vs Lithium Ion Battery Vehicles)

2019-28-248611/21/2019

E-Rickshaws are receiving considerable attention as a sustainable passenger transportation in Indian mobility space. As per the recent reports, more than 1.5 million e-rickshaws are currently operating in the country. These are quieter, cleaner and convenient mode for last mile connectivity and are typically used for short distance (<10 Km) commutation. For owners, these vehicles offer value in terms of affordability and operating cost. Challenge for manufacturers is to design a vehicle which balances the requirements of both passengers and owners. Energy efficiency (Energy consumption per Km) influences such critical decisions. There is always a difference between the catalog value and actual on-road Energy efficiency figures and therefore it's important to really understand owner requirements w.r.t. market where vehicle is going to be operated. In this study, we collected data for different types of E-rickshaws in real world scenarios in city operations and determined the energy

Jain, Nishit, Gupta, Smit

Controlling Wheelchairs with a Wearable Brain-Machine Interface

TBMG-3550511/01/2019

Combining new classes of nanomembrane electrodes with flexible electronics and a deep learning algorithm could help disabled people wirelessly control an electric wheelchair, interact with a computer or operate a small robotic vehicle without donning a bulky hair-electrode cap or contending with wires.

The Road to Automobility

19AVEP11_0311/01/2019

The era of electrified, self-driving vehicles is upon us. Engineers are key to the transformation - with much hard work still to be done. In 1911, eight years after the Wright Brothers flew the first airplane, French general Ferdinand Foch dismissed the new technology. “Airplanes are interesting scientific toys,” he scoffed, “but they are of no military value.” World War I and the wave of aeronautical progress it triggered would prove Foch wrong. Today, automobility is the subject of a “hype or ripe” debate similar in spirit to what the airplane experienced in its nascent years. Will automobility - transportation services based on autonomous electric vehicles - replace personal car ownership? Or is all the talk of this new era just so much hype? It's a critical question for businesses that will be disrupted by driverless cars, and for investors.

Burns, Lawrence D.

Active Safety System for Connected Vehicles

12-02-03-001310/14/2019

The development of connected-vehicle technology, which includes vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications, opens the door for unprecedented active safety and driver-enhanced systems. In addition to exchanging basic traffic messages among vehicles for safety applications, a significantly higher level of safety can be achieved when vehicles and designated infrastructure locations share their sensors’ data. In this article, we propose a new system where cameras installed on multiple vehicles and infrastructure locations share and fuse their visual data and detected objects in real time. The transmission of camera data and/or detected objects (e.g., pedestrians, vehicles, cyclists, etc.) can be accomplished by many communication methods. In particular, such communications can be accomplished using the emerging Dedicated Short-Range Communications (DSRC) technology. In our proposed system the vehicle receiving the visual data from an adjacent vehicle fuses

Al-Qassab, Hothaifa, Pang, Su, Al-Qizwini, Mohammed, Kent, Daniel, Radha, Hayder

Optimal Sizing and Energy Management of a Microgrid Using Single and Multi-Objective Particle Swarm Optimization under Autonomous and Grid Connected Mode

2019-28-015810/11/2019

The conventional energy sources are getting depleted while at the same time the energy demand keeps growing. Hence, it is important to consider non-conventional energy sources to meet future energy demands. The renewable energy based microgrid system is one of the promising solutions to meet this increasing energy demand. The major parameters under consideration in a micro-grid system are cost-effectiveness, quality of service and energy management. This work concentrates on the energy management of the Photovoltaic/Wind based microgrid system connected to the fuel cell, microturbine and battery under Islanding (or) Autonomous mode and Grid-Connected Mode. The current model of PV, Wind and Battery systems are employed. The Wind, PV and Battery types are chosen from i-HOGA. The optimal combination of these sources with the aim of minimizing the operating cost, pollutant treatment cost and maximizing reliability using both single and multi-objective particle swarm optimization (PSO) has

Dayalan, Suchitra, Rathinam, Rajarajeswari, Valliappan, Subramaniyan

Development of Data Acquisition and Analysis System: Telemetry in Automotive

2019-28-007510/11/2019

Digital data extraction is the most important and advance informative system that are embedded in the modern world functioning machinery to acquire the most precise feedback about the real-time operational situation of the machine to the control centre of operation. This data that is acquired from the machinery can be used to increase the efficiency, operational timing, production-cost and the overall human effort that is required for the operation. This paper focuses on the development on the advanced telemetry system that is capable to acquire real-time data of the modern vehicle wirelessly during its motion. A mobile automotive telemetry system for installation on-board a vehicle, includes: diagnostic structure for monitoring operational functions of the vehicle and generating operational information; memory for storing the generated operational information; and a server, in communication with the diagnostic structure and the memory. The server includes: (a) structure to receive a

Rastogi, Divyansh, Kumar, Gokul, Naiju, Chooriyaparambil Damodaran

Autonomous Multi-Sensor Maritime Awareness System

TBMG-3536410/01/2019

BIRD Aerosystems Herzliya, Israel

Automation: The Future of Medical Manufacturing

TBMG-3536710/01/2019

Manufacturers in the medical industry face unique challenges in terms of product mix, throughput requirements, quality standards, and regulatory guidelines. Whether a company is developing imaging equipment, orthopedic implants, or diagnostics, the manufacturing process must be absolutely error free while delivering high throughput. Device companies are looking more and more to factory automation to ensure that they are addressing these disparate requirements.

Q&A: Wearable Motion Sensors Could Save Unborn Babies

TBMG-3527510/01/2019

Negar Tavossolian is Associate Professor of Electrical and Computer Engineering at Stevens Institute of Technology, Hoboken, NJ. She led a project to develop a lightweight, non-invasive sensor to monitor fetal heart rate and motion that could sense abnormalities warning of possible stillbirths.

Intelligent Real Time Inspection of Rivet Quality Supported by Human-Robot-Collaboration

2019-01-188609/16/2019

Aircraft production is facing various technical challenges, such as large product dimensions, complex joining processes and the organization of assembly tasks. Meeting the requirements that come with large dimensions, low tolerances and small batch sizes, in combination with complex joining processes, automation and labor-intensive inspection task, is often difficult to achieve in an economically viable way. ZeMA believes that a semi-automated approach is the most effective for optimizing aircraft section assembly. An effective optimization of aircraft production can be achieved with a semi-automated riveting process for solid rivets using Human-Robot-Collaboration in combination with an intuitive Human-Machine-Interaction operating concept. While using dynamic task sharing between human and robot based on their skills, and considering ergonomics, the determined ideal solution involves placing a robot inside the section barrel. The robot’s workspace is expanded by mounting it on top of

Mueller, Rainer, Vette, Matthias, Masiak, Tobias, Duppe, Benjamin, Schulz, Albert

Flight Control Actuators - Dynamic Seals, Collection of Duty Cycle Data

ARP4895B (Current)05/16/2019

This SAE Aerospace Recommended Practice (ARP) provides an algorithm aimed to analyze flight control surface actuator movements with the objective to generate duty cycle data applicable to hydraulic actuator dynamic seals.

A-6A3 Flight Control and Vehicle Management Systems Cmt

DARPA’s latest drone swarm sprint focuses on virtual environments

SAE-MA-0346305/13/2019

Through OFFSET, DARPA envisions swarms of 250 collaborative autonomous systems – including unmanned aircraft systems (UAS) – providing critical capabilities to ground units in urban areas where challenges such as tall buildings, tight spaces, and limited sight lines constrain essential communications, sensing, maneuverability, and autonomous operations.

Kucinski, William

The Teletenna — a Hybrid Telescope Antenna System

TBMG-3417804/01/2019

Innovators at NASA’s Glenn Research Center have developed a hybrid telescope antenna system — Teletenna — to deliver high-data-rate communication over great distances. Teletenna has the potential to benefit deep space missions and communications on Earth. By combining two very different communications systems — optics and radio frequency (RF) — Teletenna capitalizes on the benefits of each system while overcoming conflicting engineering requirements.

Data Interoperability for Aerospace IVHM Systems

2019-01-134203/19/2019

Aerospace systems today are generating a lot of data and for the most part all this data is being generated by siloed entities (by various stakeholders like components/sub-system manufacturers, OEMs, operators) and ends up living within the four walls of these individual entities. For the industry to fully benefit from this data there needs to be a transparent way to share this data while strictly controlling the proprietary nature of the data and adhering to all contracts. The SAE HM-1 technical committee is writing an aerospace information report (AIR) 6904 to describe a digital data landscape and approach that can support health management [1]. Integrated vehicle health management (IVHM) systems cut across many disciplines and boundaries and can benefit from structured landscape and well defined approach. For example, data associated with a fault in an aircraft subsystem like the engine must travel through multiple systems and boundaries before it can be analyzed by the cognizant

Rajamani, Ravi, Whitfield, Martin, Kumar G. V. V., Ravi

Military Vehicle Situational Awareness System

TBMG-3301510/01/2018

Computech International (CTI) Tikva, Israel +972-3-9211110

The Bus Too Tough to Die

TBMG-3291109/01/2018

The Bus TOO TOUGH to Die

18AERP09_0209/01/2018

The venerable MIL-STD-1553B bus has survived remarkably well even as other more advanced solutions gained wide acceptance in the last few years. However, the fact remains that its maximum data rate of 1 Mb/s is orders of magnitude too slow for today's data-intensive systems, so logic dictates that it will soon fade away. That may be a logical assumption, but it's likely to prove wrong, for several reasons. The most obvious is that MIL-STD-1553B continues to fly on at least 30,000 aircraft, as well as on commercial and military ships, and is widely used in industrial and other applications. The situation is analogous to the International Space Station (where it's also present). The ISS was expected to “last” until 2015 but when it arrived, ISS lifetime projections were extended to 2020 and then to 2024, and the latest consensus is 2028.

Hearn, Mark

In-Flight Real-Time Avionics Adaptation

TBMG-3273408/01/2018

Avionics is a very restricting domain for obvious safety reasons. Along with miniaturization comes the idea of integration. More functionality on one spot requires a good management of privacy and congestion on shared platforms. This is why determinism is one of the keywords of avionics works. This led to protocols like ARINC653[1] assuring that multitask embedded programs respect a predictable policy applied by the operating system (OS). Another key protocol is ARINC664, which guarantees that multiple communicating systems efficiently share the network. These two protocols are pillars of the Integrated Modular Architecture (IMA) concept[2].

Autonomous Crop-Counting Robot

TBMG-3247208/01/2018

Today's crop breeders are trying to boost yields while preparing plants to withstand severe weather and changing climates. To succeed, they must locate the genes for high-yielding, hardy traits in crop plants’ DNA, a task that is needed to accelerate breeding to meet global food demand.

Power Outlet Analyzes Electrical Current Usage

TBMG-3247908/01/2018

Electrical interruptions, or “nuisance trips,” occur when a detector installed behind the wall trips an outlet's electrical circuit when it senses something that could be an arc-fault — a potentially dangerous spark in the electric line. The problem with today's arc-fault detectors is that they often err on the side of being overly sensitive, shutting off an outlet's power in response to electrical signals that are actually harmless.

A Hardware Model for Vehicular Network to Control Air Pollution Leading to Big Data Analytics

2018-28-003807/09/2018

The foremost emphasis of this paper is to project the need for collecting the outlet pollutant gases from the individual vehicle which is on fleet and the need to maintain the vehicle to make the surveillance of vehicle in the fleet. The data that is collected from the vehicle was stored in the cloud and provided to the vehicle user mobile application that displays the level of pollutant. With the help of pollutant level the user may be aware of the maintenance or the change in vehicle filling station, which will reduce the overall level of pollutant of the vehicle. The data that is uploaded in the cloud will be used by the regional transport office to keep track of the vehicle user. Since the vehicle keeps increasing in its usage the total data received from the vehicle also increases, the data collected was based on the individual vehicle its sensed value, vehicle user data makes the regular and frequent updates in the cloud that creates the variety of input and varsity in the cloud

Anuradha, Gnana Prakasam, Ramesh Babu, Kalivaradhan, Naiju, C D

Corrosion and Coating Evaluation System

TBMG-2902506/01/2018

Aircraft coatings are the first line of defense when it comes to mitigating structural corrosion of an air platform. As new coatings are developed — particularly those that contain non-chrome primers — there is a need to qualify the coatings for use on military aircraft prior to implementation on flying systems. The process — which includes laboratory tests, outdoor environmental exposure, and aircraft trials — can be extensive and expensive.

Radiation Analysis Software

TBMG-2903506/01/2018

For emergencies involving radiation, decision-makers must have a means to swiftly assess the situation. Having analysis tools that can quickly and reliably make sense of radiation data is of the essence.

Tiny Probe Can See and Measure Body Temperatures

TBMG-2900906/01/2018

A new probe developed at the University of Adelaide, may help researchers find better treatments to prevent drug-induced overheating of the brain, and potentially refine thermal treatment for cancers.

Space-Based Bone Scanner Expands Medical Research

TBMG-2831902/01/2018

Spinoff is NASA's annual publication featuring successfully commercialized NASA technology. This commercialization has contributed to the development of products and services in the fields of health and medicine, consumer goods, transportation, public safety, computer technology, and environmental resources.

GPS Correction Technology Lets Tractors Drive Themselves

TBMG-2802112/01/2017

Spinoff is NASA’s annual publication featuring successfully commercialized NASA technology. This commercialization has contributed to the development of products and services in the fields of health and medicine, consumer goods, transportation, public safety, computer technology, and environmental resources.

ECTemp™

TBMG-2781111/01/2017

The health and fitness industry strives to provide customers with the best technologies and features available to help users train in the right zone and duration for best results. Core body temperature is a factor in this analysis, but has been largely unavailable due to the invasiveness of accurate sensors, and the variation between skin temperature and core body temperature. An accurate estimate of core body temperature is also valuable for occupations in which heat stress and heat illness are risk factors. Because of the difficulty in directly measuring core body temperature, a practical alternative was developed.

Custom Data Logger for Real-Time Remote Field Data Collections

TBMG-2765310/01/2017

The U.S. Army Corps of Engineers (USACE), CHL, FRF, had a need for a remote real-time data collection system to control instruments and log and communicate data from five observing stations in the Currituck Sound Estuary, NC1. These stations, referred to as the Currituck Sound Array (CSA), collect a suite of meteorological and oceano-graphic data including wind, air temperature, humidity, incoming solar radiation (above and below water), waves, currents, water level, salinity, and water temperature, as well as turbidity and many other water quality parameters. This array of instruments has a variety of control commands, sample routines, and output data formats. Additionally, the CSA was designed to act as a natural laboratory for estuarine research and as an instrument and model test bed. These capabilities required a reliable and flexible system that would allow easy modification of sampling schemes, the ability to log as many as 15 instruments with a single logger, and allow the

Custom Data Logger for Real-Time Remote Field Data Collections

17AERP10_1010/01/2017

Compact, energy efficient instruments have the same functionality as a personal computer. Army Engineer Research and Development Center, Vicksburg, Mississippi The U.S. Army Corps of Engineers (USACE), CHL, FRF, had a need for a remote real-time data collection system to control instruments and log and communicate data from five observing stations in the Currituck Sound Estuary, NC1. These stations, referred to as the Currituck Sound Array (CSA), collect a suite of meteorological and oceanographic data including wind, air temperature, humidity, incoming solar radiation (above and below water), waves, currents, water level, salinity, and water temperature, as well as turbidity and many other water quality parameters. This array of instruments has a variety of control commands, sample routines, and output data formats. Additionally, the CSA was designed to act as a natural laboratory for estuarine research and as an instrument and model test bed. These capabilities required a reliable

Items per page:

1 – 50 of 240