Browse Topic: Cloud computing

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Joint Calibration of Dual LiDARs and Camera Using a Circular Chessboard2020-01-00984/14/2020
Environmental perception is a crucial subsystem in autonomous vehicles. In order to build safe and efficient traffic transportation, several researches have been proposed to build accurate, robust and real-time perception systems. Camera and LiDAR are widely equipped on autonomous self-driving cars and developed with many algorithms in recent years. The fusion system of camera and LiDAR provides state-of the-art methods for environmental perception due to the defects of single vehicular sensor. Extrinsic parameter calibration is able to align the coordinate systems of sensors and has been drawing enormous attention. However, differ from spatial alignment of two sensors’ data, joint calibration of multi-sensors (more than two sensors) should balance the degree of alignment between each two sensors. In this paper, we assemble a test platform which is made up of dual LiDARs and one monocular camera and use the same sensing hardware architecture as intelligent sweeper designed by our laboratory. Meanwhile, we propose the related joint calibration method using a circular chessboard. The center of circular chessboard is respectively detected in camera image to get pixel coordinates and in point cloud of LiDAR to get 3D coordinates. The calibration problem is then converted into a 3D-2D PnP matching problem and the center of the chessboard is set as corresponding points to construct the geometric constraints to get initial calibration values. Further, a proper global loss function is elaborately designed for Levenberg-Marquardt nonlinear optimization to obtain the final calibration parameters, and then the extrinsic parameters between any two sensors are estimated simultaneously. Experimental results show that the proposed method is suitable for the joint calibration of fusion system composed of LiDARs and camera, and the calibration results have high accuracy and stability.
Deng, Zhenwen, Xiong, Lu, Yin, Dong, Shan, Fengwu
Cellular-key solution augments commercial-vehicle security20TOFHP02_082/1/2020
Connectivity's many benefits are matched by security concerns, which has prompted a number of security specialists from many fields to focus their attention on commercial vehicles. Irdeto, which provides security tools and services to disparate industries, is addressing commercial vehicles with cell phone-based keyless entry technology and cybersecurity services. The company, founded in 1969, lists diverse firms like Charter Communications, Comcast, 20th Century Fox and Alibaba Cloud as customers. As OEMs ramped up their connectivity offerings, Irdeto established its Connected Transport division in 2016. That division addresses overall cybersecurity while also offering a keyless entry system, Keystone, that uses cell phones to give users more control over vehicle access.
Costlow, Terry
Modern Software Links Legacy SystemsTBMG-359912/1/2020
Most of today's devices, equipment, and systems come with “intelligent” or “smart” capability built in, along with wired or wireless network connectivity. This is great for new work but many end users have decades worth of legacy systems in place and would like to obtain information from these functional areas without extensive retrofitting.
Kirigami Inspires New Method for Wearable SensorsTBMG-3562712/1/2019
Researchers have applied kirigami architectures to graphene, an ultra-thin material, to create sensors suitable for wearable devices. Simulations were done using online software on a nanomanufacturing node, the first of its kind to be developed.
2019 'Create the Future' Electronics/Sensors/IOT Category Winner: Early Detection of Battery FaultsTBMG-3544711/1/2019
Design tools ensure component compatibility, create autonomous driving tests19TOFHP10_1010/1/2019
Simulation has become a critical element in design and validation, expanding its reach to nearly every facet of vehicle development. Partnerships and cloud computing are among the techniques being used as tool developers strive to make it easier for programmers and engineers to see how the many elements in vehicle systems interact. Virtual tools are being used for jobs as diverse as wiring layout to creating virtual roadways for testing autonomous driving systems. Much of the focus in recent years has been on ensuring that everything works well when multiple systems work together. Tools are helping commercial-vehicle designers make significant improvements in overall designs.
Costlow, Terry
Automated Object Detection in an ImageTBMG-349088/1/2019
Recent developments in machine vision have demonstrated remarkable improvements in the ability of computers to properly identify objects in a viewing field. Most of these advances rely on color-texture analyses that require target objects to possess one or more highly distinctive, local features that can be used as distinguishing characteristics for a classification algorithm. Many objects, however, consist of materials that are widely prevalent across a variety of object categories. For example, many trees have leaves, many manmade objects are made of painted metal, and so forth, such that color-texture detectors configured/trained to identify leaves or painted metal are good for some categorizations, but not for others. Much less effort has been made to characterize objects based on shape, or the particular way the component features are arranged relative to one another in two-dimensional (2D) image space.
Cable Construction for Machine Vision ConnectivityTBMG-348828/1/2019
Along with the onslaught of Internet of Things (IoT) and wirelessly enabled devices, cloud connectivity has become a major benefit for a range of applications from commercial to military. As of 2018, Ethernet networking surpassed Fieldbus technology in industrial settings (Figure 1). This is partly due to the growth of industrial IoT (IIoT) where the central gateway to all the sensor nodes is necessarily connected to the cloud via a hardwired Ethernet connection. In industrial settings, power over Ethernet (PoE) links can serve cameras for machine vision, to sensors for multi-modal processing capabilities. This article overviews industrial Ethernet, some of its major pain points including networking dynamics, and cable construction specific to industrial applications.
Why Cloud QMS Better Supports Regulatory ComplianceTBMG-348067/1/2019
Companies regulated by the U.S. Food and Drug administration (FDA) need to establish current good manufacturing practices (CGMPs) as part of Title 21 CFR part 820 requirements. This includes creation of quality systems to ensure development of safe and effective devices. More specifically, medical device manufacturers must establish methods and procedures to design, produce, and deliver devices that meet the quality system standard.1
Security, bandwidth drive over-the-air development19TOFHP06_106/1/2019
Over-the-air (OTA) updating has evolved rapidly from a limited function to a wide-ranging technology for keeping vehicle software up to date. As OTA moves deeper into the mainstream, commercial-vehicle suppliers are focusing on security and techniques that efficiently allow downloading of a growing number of files. Truck and off-highway equipment suppliers are racing to extend their offerings. Navistar augmented its Wi-Fi OTA technology with cellular services earlier this year. Volvo Trucks and Mack updated their updating programs last fall. Daimler Trucks recently went global with its OTA offerings. Caterpillar now uses the technology to add features, not just for software patches.
Costlow, Terry
Progressive Disintermediation of the Commercial Aviation Industry Ecosystem2019-01-13303/19/2019
The re-invention of the global aviation industry is well underway. This dramatic change is being achieved through the use of emergent technology to facilitate a progressive disintermediation of traditional aviation business solutions and services. This progressive disintermediation will continue unabated as this technology is adopted and deployed within the aviation industry. The challenge and opportunity is to whom will lead this re-invention and how will it be accomplished. The integrated use of rapidly evolving technology (Blockchain, IoT, Artificial Intelligence, 5G Cellular Technology and Mobile Edge Computing) is facilitating an integrated more industry cooperative approach enabling this progressive disintermediation. The Boeing Company and other industry leaders are challenging themselves and others by embracing this re-inventive opportunity and by cooperatively learning from peer industries, then adapting the knowledge for applicability to the aviation industry to reform or re-define the aviation ecosystem. Boeing has conducted several proof of concepts with these respective technology sets to validate the efficacy of the technology and to establish a baseline understanding of the interoperability opportunity. What if we do nothing? How long can we wait? Three to five years and then the progressive disintermediation of the industry sectors will have formed new ecosystems with transformative business relationships leveraging the integrated capabilities of these five emergent technologies.
Rencher, Robert John
Proactive Cybersecurity Saves Healthcare Organizations from Data BreachesTBMG-339933/1/2019
Over the past few years, healthcare organizations have increasingly become one of the leading targets for cyber criminals with data breaches exposing personal patient data, medical records, and financial information, resulting in millions of dollars of added cost to these institutions. As the healthcare organizations become savvier with their cybersecurity, the criminals just get more creative.
Efficient Security for Cloud-Based Machine LearningTBMG-339223/1/2019
Outsourcing machine learning is a rising trend in industry. Major tech firms have launched cloud platforms that conduct computation-heavy tasks, such as running data through a convolutional neural network (CNN) for image classification. Resource-strapped small businesses and other users can upload data to those services for a fee and get back results in several hours.
Smart Actuators Deliver on the Promise of Industry 4.0TBMG-3335712/1/2018
As Industry 4.0 initiatives bring more and more industrial axes of motion into the realm of automation, the need for cost-effective control across them grows as well. Advances in robotics, connectivity, cloud computing, artificial intelligence, data analysis, mobility, and numerous other areas are converging to push global industry to new plateaus of operational efficiency and creating roles for automated actuators in places previously thought impractical.
Smart Sensor Technology for the IoTTBMG-3321211/1/2018
Internet of Things (IoT) applications — whether for city infrastructures, factories, or wearable devices — use large arrays of sensors collecting data for transmission over the Internet to a central, cloud-based computing resource. Analytics software running on the cloud computers reduces the huge volumes of generated data into actionable information for users, and commands to actuators back out in the field.
Ideas for multi-modal mobility18AUTP10_0410/1/2018
Silicon Valley often gets credit for ideas that have been percolating elsewhere for a long time. Great ideas that are not yet fully refined and need a tweak or two to make them viable. Case in point: micro mobility. Last March, I was in San Jose for the Nvidia GPU Technology Conference when a flock of Bird electric scooters magically appeared all over the sidewalks of downtown. Within days, there were thousands more in San Francisco and other cities from Bird, Lime and several other startups. Some critics of this sudden flood called it “scootermaggeddon.”
Abuelsamid, Sam
Maintaining Enterprise Resiliency Via Kaleidoscopic Adaption and Transformation of Software Services (MEERKATS)TBMG-3302110/1/2018
This research investigates a new vision for increasing the resilience of computing clouds by elevating continuous change, evolution, and misinformation as first-rate design principles of the cloud's infrastructure. The work is motivated by the fact that today's clouds are very static, uniform, and predictable, allowing attackers who identify a vulnerability in one of the services or infrastructure components to spread their effect to other, mission-critical services. The goal is to integrate into clouds a new level of unpredictability for both their services and data so as to both impede an adversary's ability to achieve an initial system compromise and, if a compromise occurs, to detect, disrupt, and/or otherwise impede their ability to exploit this success.
Tech Briefs: October 201818AERP1010/1/2018
Detecting Drones with Doppler-Based Radar Digital Transformation for a Connected Enterprise Using Electromagnetic Brakes to Keep Thrust Reversers in Place Thermostatic Solutions for Temperature Control Applications Bringing RF into the Embedded World: It's Time Compact Power Amplifier Solution for Electronic Warfare Burner Rig Testing of A500® C/SiC Test method simulates, in a laboratory environment, the service conditions ceramic-matrix composite material would experience in turbine engine exhaust applications. Space Debris Orbit and Attitude Prediction for Enhanced and Efficient Space Situational Awareness Developing accurate models to predict the behavior of manmade debris in space could be the key to preventing collisions with satellites. Maintaining Enterprise Resiliency Via Kaleidoscopic Adaption and Transformation of Software Services (MEERKATS) Implementing new technologies to create a more resilient, secure cloud computing environment. Fundamental Aspects of Single Molecule and Zeptomole Electroanalysis Using the principles of electro-analytical chemistry to detect target molecules at very low concentration with high specificity, simplicity, and low power.
Show Preview Medinnovation Boston 2018TBMG-289165/1/2018
THE WESTIN WALTHAM BOSTON • JUNE 25, 2018
Automated Flight System SoftwareTBMG-289025/1/2018
Kittyhawk San Francisco, CA +1 415-598-7757
2021-12-29.TEST Hybrid Navigation System That Combines Cloud and On-Board Computing2018-01-00224/3/2018
A hybrid navigation system [1] that performs route calculations and highly flexible natural speech location searches in the cloud using dynamic databases that combine probe data collected from the vehicle and external data, and transmits to on-board devices has been developed. The system automatically switches to the on-board device when the vehicle is out of mobile network communication range or when faster processing is required for tasks such as re-routing. The transition between the on-board devices and the cloud provide a seamless user experience adapted to use conditions and other factors. In addition, representing the route downloaded from the cloud by the on-board device requires synchronizing the map with the cloud, and a map caching function has been used to reduce the volume of data that needs to be synchronized. The cloud-based route calculation is based not only on average travel time, but on dispersion as well. Moreover, integrating entry and exit link direction data (straight line, left turn, or right turn) enables the system to present routes involving less driving time and more precise estimates of arrival time. This paper describes the technological attributes of the above hybrid navigation system.
JIN, Xin, Nakamura, Motohiro, TETSUO, Shuhei, Sugimoto, Hironobu
Cold Chain Management Using Model Based Design, Machine Learning Algorithms and Data Analytics2018-01-12014/3/2018
In the food industry, there is an increased demand for generic pharmaceutical products and perishable food without compromising with the changes in texture and taste that occur in the transit. With this demand, there is a need for better visibility of products in the logistics network, to minimize wastage, to ensure product integrity, influence productivity, transparently track the fleet and to identify pathogens before a potential outbreak. In Cold Chain Management, information is power: with potentially billions of dollars’ worth of cargo (such as food items, vaccines, serums, tests or chemicals) at stake worldwide. Hence, careful live monitoring, inspection, supervision, validation and documentation of business-critical information is essential. In this paper, we have proposed a framework for Cold Chain Management using Internet of Things (IoT) combined with other technological innovations such as: Cloud Computing, Machine Learning and Big Data Analytics to revolutionize the cold transport industry. By establishing such an architecture, we have tried to monitor, visualize, track and control various platform dependent parameters thereby providing a complete solution across the fleet cycle with assured freshness and palpability.
Khanuja, Gagandeep Singh, D H, Sharath, Nandyala, Sivaprasad, Palaniyandi, Balamurali
Workhorse multiphysics tool gets upgrades18AUTP02_102/1/2018
Engineers are now able to design with far higher precision, making materials thinner and lighter without sacrificing quality and durability. But as they press the limits of technology, engineers must often examine and understand subtle factors that might have been negligible in the past. Often, these considerations involve multiple disciplines, which can make it difficult to see how changes in one technology will impact performance in other areas. COMSOL is finalizing a major upgrade of its Multiphysics multidisciplinary software tool, which let users see how changes in one field of physics impact other fields.
Costlow, Terry
Simplifying Cloud-Based Remote Access and Data LoggingTBMG-283422/1/2018
Smart manufacturing capabilities should be built into machines, particularly those with advanced functionality such as motion control. Even if the factory is not currently connected to the Industrial Internet of Things (IIoT), it’s a good bet that it will be in the future. Fortunately, it’s becoming easier to connect, monitor, program, and maintain machines and motion control systems using cloud-based remote access.
Integrated Lab-on-a-Chip Uses Smartphone to Detect Multiple PathogensTBMG-281401/1/2018
Infectious diseases remain the world’s top contributors to human death and disability, and with recent outbreaks of Zika virus infections, there is a keen need for simple, sensitive, and easily translatable point-of-care tests. Since Zika virus infection shares symptoms with other diseases such as Dengue and Chikungunya, quick, accurate diagnosis is required to differentiate these infections and determine the need for aggressive treatment or quarantine.
Tackle the Intricacies of Medical Device Development with a Solid PlatformTBMG-281361/1/2018
Networked In-Flight Validation Environment for Air Traffic Management ConceptsTBMG-2798312/1/2017
Modernization of the National Airspace System (NAS) will involve future air traffic management (ATM) concepts of operation and technology frameworks that rely on the automated exchange of information between aircraft, and between aircraft and ground-based air traffic control systems. In-flight validation is critical to the acceptance and ultimate implementation of these concepts, so an approach and enabling infrastructure are needed to reduce the costs of flight tests. The approach and infrastructure must also support refinement and validation of interoperability standards for enabling communications and surveillance technologies. The innovation described here is a concept to develop an in-situ test environment for advanced ATM concepts by leveraging existing computing and network infrastructure and existing simulations of future surveillance equipage.
Cloud-Driven Traffic Monitoring and Control Based on Smart Virtual Infrastructure2017-01-00923/28/2017
The new cyber-technological culture of the transport control based on virtual road signs and streetlight signals on the screen of car is the future of Humanity. A cyber-physical system (CPS) Smart Cloud Traffic Control, which realizes the mentioned culture, is proposed; it is characterized by the presence of the digitized regulatory rules, vehicles, infrastructure components, and also accurate monitoring, active cloud streetlight-free cyber control of road users, traffic lights, automatic output of operational regulatory actions (virtual traffic signs and traffic signals) to monitor of each vehicle. The main components of the cyber-physical system are the following: infrastructure, road users and rules, which have digital representation in cyberspace to realize a route, based on digital monitoring and cloud mobile control. We offer innovative services, which implement digital monitoring and cloud control as a scalable prototype of a global system that uses the following technology: precise positioning of moving and stationary objects, digital cartography, cyber-physical systems and Internet of Things, Advanced Wireless Communication and Big Data Analytics. The basic idea is to improve the quality and safety of traffic through the implementation of metric regulation of traffic, based on digital monitoring and active cloud cyber control, and also the use of intelligent virtual traffic lights and signs, which gives an opportunity to significantly improve the comfort of a car trip, reduce the overhead in time and cost of route execution. Components for the implementation of global cloud traffic control services are the following: 1) Smart is the definition of the process or phenomenon associated with the network interaction of the addressable system components in time and space between themselves and the environment, based on self-learning technologies to achieve their goals. 2) The Smart Cyber-Physical System is a set of communicatively connected to the network addressable virtual and real components in the digitized metric space with features of adequate physical monitoring, optimal cloud control and self-learning in real time to achieve their goals. 3) Internet of Things is a structure of cyber-physical systems, combining the centers of large data, knowledge, services and applications aimed to monitor and control of smart processes and phenomena in the digitized physical space by using the sensors actuators to provide high standards of living and saving the planet environment. 4) Computing is a branch of knowledge, focused on research, design and application of systems, networks and cloud-mobile services for monitoring and control of cyber-physical processes and phenomena. The development of computing, the main function of which is cyber control, should only be considered in conjunction with the real or the physical world, a part of which is humanity. There is interaction between the two worlds, the real and the virtual ones: humanity always poorly manages the real world and creates computing as his assistant. As a perfect mechanism, computing takes control of technological processes in humanity. 5) The market feasibility of the global cloud services for traffic control without physical infrastructure, traffic lights and road signs is at least 100 billion dollars. The economic effect of the transfer of road infrastructure in cyberspace, including the license plates is 500 billion dollars a year.
Hahanov, Vladimir, Gharibi, Wajeb, Litvinova, Eugenia, Chumachenko, Svitlana, Ziarmand, Arthur, Englesi, Irina, Gritsuk, Igor, Volkov, Vladimir, Khakhanova, Anastasiia
Secure and Privacy-Preserving Data Collection Mechanisms for Connected Vehicles2017-01-16603/28/2017
Nowadays, the automotive industry is experiencing the advent of unprecedented applications with connected devices, such as identifying safe users for insurance companies or assessing vehicle health. To enable such applications, driving behavior data are collected from vehicles and provided to third parties (e.g., insurance firms, car sharing businesses, healthcare providers). In the new wave of IoT (Internet of Things), driving statistics and users’ data generated from wearable devices can be exploited to better assess driving behaviors and construct driver models. We propose a framework for securely collecting data from multiple sources (e.g., vehicles and brought-in devices) and integrating them in the cloud to enable next-generation services with guaranteed user privacy protection. To achieve this goal, we design fine-grained privacy-aware data collection and upload policies that balance between enforcing privacy requirements and optimizing resource consumption (e.g., processing, network bandwidth). The optimal policy will be determined by the privacy index of the integrated multi-source data to be used by the specific service and the desired resource usage. Real-world experiments and privacy leakage analysis are conducted to address privacy issues in vehicle data collection and integration, raise public awareness around privacy leakage, and validate the proposed system.
Li, Huaxin, Ma, Di, Medjahed, Brahim, Wang, Qianyi, Kim, Yu Seung, Mitra, Pramita
Learning the "Keys" of IoT SecurityTBMG-2561710/1/2016
Network-connected devices provide many opportunities to improve and enrich people’s lives, but the “Internet of Things” has a range of definitions. A consumer’s experience with the “IoT” may be a wearable computer for fitness tracking. A physician may place a connected heartbeat monitor on a patient. An industrial engineer may see the Internet of Things as thousands of sensor points that provide measurements of temperatures, pressures, or valve states.
A Robust, Real-Time Collaboration Technology for Decision Support using Common Operating Picture (COP) EnvironmentsTBMG-242724/1/2016
StormCenter Communications, Inc. software takes advantage of cloud computing solutions to solve the growing need for real-time collaboration when accessing a Common Operating Picture (COP) from any device without having to give up all the vital tools and display functionality; all this is performed without disrupting current workflows. A COP is a platform shared by multiple stakeholders to provide a single, identical display of relevant operational information (i.e., mapping information, network operations and cyber security, sensors, weather, critical infrastructure) and tools to mark and manipulate the data. In the era of Big Data and the need for improved decision-making with the presence of multiple stakeholders across different disciplines, collaboration when using a COP is essential to success. This is especially important when dealing with decision-makers who are frequently non-data experts who need to take action immediately based on their situational awareness.
The Advanced Data Analytics Platform (ADAPT): Concept, Design, Architecture, and OperationTBMG-238822/1/2016
NASA scientists are uniquely positioned to research and understand the processes affecting the Earth’s climate. To study these important processes, scientists must address the Big Data challenges posed by working with massive amounts of observational and climate model output data. The Advanced Data Analytics Platform (ADAPT) is a cyber infrastructure resource specifically designed to reduce the friction between scientists and data. The system includes a high-performance storage cloud surrounded by large-scale compute resources. A very high-performing network enables fast access to the data stored within ADAPT. Furthermore, the system allows users to bring their applications to the data and define the environment in which those applications run. The science results can then be stored for future analysis or shared through static and dynamic data services within ADAPT without having to move the data or make additional copies. The agility, flexibility, and extensibility of the system make it ideal for NASA scientists to produce science results quickly by analyzing large data sets.
Deterministic Ethernet VPX 3U/6U Switches for Open Integrated Architectures2015-01-25229/15/2015
VPX, as a switched fabric, supports the design of advanced integrated systems using technologies such as deterministic Ethernet. Deterministic Ethernet can be used in backplane and backbone applications. In cases where functional interrelationships and Ethernet network bandwidth sharing is deterministic and all logical links among critical function have configurable quality of service with guaranteed timing, the complexity challenges in design of advanced integrated architectures can be much simpler to handle and mitigate. VPX switches in 3/6U format with ARINC664 and SAE AS6802 services enable deterministic integration of many critical functions hosted on common embedded computing and networking resources. Both ARINC664 (asynchronous real-time) and SAE AS6802 (synchronous hard real-time), as Layer 2 enhancements, do not affect existing Ethernet services. They are compliant with all standard Ethernet physical layers for backbone and backplane networks, including those described in VPX (VITA 46) and VITA 48. They are also compliant with higher OSI Layers 3-6, and can be easily used in design of open and generic integrated architectures using VPX standards. This enables the design of truly open and flexible modular embedded systems, which can host hard real-time, real-time, and soft-time functions. Incremental modernization is fully supported, and new functions can be added without influencing already integrated capabilities.
Jakovljevic, Mirko, Radke, Jan, Rucker, Perry
Web Application: Ground Hardware Management ToolTBMG-225578/1/2015
An integrated ground support equipment (GSE) tracking and management tool is designed for tracking and managing GSE data used in support of KSC/Ground Systems Development and Operations (GSDO) planning and launch campaigns. This software (the Ground Hardware Management Tool, GHMT) will be fully integrated with the Ground Operations Planning Database (GOPDb) to provide a complete ground operations planning solution.
Fiber Optic ConnectorsTBMG-220945/1/2015
With the standardization of 4G wireless, the increase in cloud storage and computing, and the push for faster network data rates, the highest quality passive interconnect systems must be used. While the robustness and size of these interconnections, fiber types, and cable management all play major roles in the backbone, what happens at the tip of the connector also greatly affects the optical performance of the system.
Smartphone-Based Device Spots Molecular TumorsTBMG-219564/16/2015
A device developed by Massachusetts General Hospital investigators provides rapid, accurate molecular diagnosis of tumors and other diseases. The smartphone-based technology collects detailed microscopic images for digital analysis of the molecular composition of cells and tissues.
Wireless Software SuiteTBMG-2100611/1/2014
CEL (Santa Clara, CA) has announced the field trial release of its new MeshWorks™ wireless software suite. This new platform unites several tools to help create and simplify a complete mesh network design as part of the Internet of Things (IoT).
Cloud Computing for Science Data Processing in Support of Emergency ResponseTBMG-205889/1/2014
In a crisis, up-to-date information is one of the most important commodities for decision-makers. Remote sensing data have been instrumental in regional scale damage detection and recovery progress monitoring after significant disasters. However, using remotely sensed data to support an emergency response requires not only the availability of hardware, software, and manpower to process and analyze the data, but also the time to stage the datasets that are required for analyses. Additionally, the volume of remote sensing data that needs to be processed to detect temporal changes accurately in a terrestrial or oceanic ecosystem can easily exceed several terabytes, even for a small region. This is because emergency response requires the use of well-calibrated remotely sensed data products, like those that are generated by the MODIS (Moderate Resolution Imaging Spectroradiometer) Adaptive Processing System (MODAPS). These data sets are stored and distributed by the Level 1 and Atmosphere Archive and Distribution System (LAADS), both located at Goddard Space Flight Center (GSFC), and are necessary to create the custom data products that are needed and used for emergency management situations. Generally, the MODIS datasets are downloaded from GSFC, stored at the user’s facility, and then processed locally. This approach is standardly used by researchers worldwide.
Integrated Technologies Take Medical Device Development to the Next LevelTBMG-200767/1/2014
According to the Journal of Patient Safety, a whopping 210,000 to 440,000 deaths attributable to medical errors occur in hospitals every year. Clearly, there is a desperate need for technology to take a leading role in medical device development in order to improve patient outcomes and save money. The two emerging technologies in the medical space are context-aware technology and multi-input technology.
Systems and Services for Near-Real-Time Web Access to NPP DataTBMG-198956/1/2014
The recently launched Suomi National Polar-orbiting Partnership (SNPP) satellite, operated by NASA and the National Oceanic and Atmospheric Administration(NOAA), is providing multispectral global observations over the next several years to support a broad array of research and applications. SNPP data products consist of a complex set of data and metadata files in highly specialized formats, and the U.S. government’s operational ground segment delivers these to users with delays of several hours to a few days.
NASA Releases New Software Catalog to Spur InnovationTBMG-198656/1/2014
On April 10, NASA released more than 1,000 codes in a new online software catalog. Organized into 15 broad categories, the new catalog offers a wide variety of applications for use by industry, academia, other government agencies, and the general public.
Readiness Integration Center (RIC)F-0070-2014-96205/20/2014
The Naval Air System Command (NAVAIR) Naval Aviation Enterprise (NAE) Automated Logistics Environment (ALE) is applying Big Data Analytics and Cloud Computing Technology to support critical elements of Condition Based Maintenance Plus (CBM+) and Reliability Centered Maintenance (RCM) for NAVAIR platforms. The Comprehensive Automated Maintenance Environment -- Optimized (CAMEO) Readiness Integration Center (RIC) ALE capability focus is on the V-22 platform with an implementation strategy to apply Collaborative, Agile, Open Source, Big Data Analytics, and Cloud Technology to Collect, Connect, Warehouse, Analyze, and Act to improve platform readiness. The RIC is leveraging NAVAIR NAE ALE capability to Collect, Connect, and Warehouse critical Platform data. NAE collaboration with V-22, E2D, and Triton automated data extracts to support Platform analytic and decision support tool use and development. The RIC sponsors V-22 collaborative, agile, open source development using big data analytics and cloud technology to support the V-22 Readiness Steering Committee and Readiness Teams. The RIC actively supports Agile methodology for analytic and decision support tool development. The RIC use of Open Source tenants includes protections for intellectual property and licensing for use. The RIC development environment is consistent with Big Data and Cloud Technology computing and the RIC infrastructure and selected toolsets have completed proof of concept implementation in the Cloud. The focus of this paper is to describe a "day in the life of Big Data Analytics" from data recording and collection through RIC analytics and use by in service support engineering to effect corrective action.
Holveck, Phil, Armijo, Larry
Investigation of Vehicular Networks and its Main Security Issues2014-01-03364/1/2014
Vehicular Network is an emerging and developing technology to improve traffic management and safety issues, and enable a wide range of value-added services such as collision warning/avoidance. Many applications have been designed to provide safety and comfort for passengers. This technology is a prolific area for attackers who will attempt to challenge the network with their malicious or rational attacks. In this paper we elaborate what a vehicular network is, different kinds of communication in this field, main mechanism and related parts and how vehicular networks work then we introduce some of its applications. After primary familiarity with this system we investigate to different type of attacker, more important security issues, How to secure vehicular networks (security requirements and some tools and methods to achieve secure vehicular networks), difficulties and providing viable security solutions, and at the end briefly explanation of related standards.
Khani, Payman, S. Sharbaf, Mehrdad
Securing Connected Vehicles End to End2014-01-03004/1/2014
As vehicles become increasingly connected with the external world, they face a growing range of security vulnerabilities. Researchers, hobbyists, and hackers have compromised security keys used by vehicles' electronic control units (ECUs), modified ECU software, and hacked wireless transmissions from vehicle key fobs and tire monitoring sensors. Malware can infect vehicles through Internet connectivity, onboard diagnostic interfaces, devices tethered wirelessly or physically to the vehicle, malware-infected aftermarket devices or spare parts, and onboard Wi-Fi hotspot. Once vehicles are interconnected, compromised vehicles can also be used to attack the connected transportation system and other vehicles. Securing connected vehicles impose a range of unique new challenges. This paper describes some of these unique challenges and presents an end-to-end cloud-assisted connected vehicle security framework that can address these challenges.
Zhang, Tao, Antunes, Helder, Aggarwal, Siddhartha
An Architecture for Monitoring and Anomaly Detection for Space Systems2013-01-20909/17/2013
Complex aerospace engineering systems require innovative methods for performance monitoring and anomaly detection. The interface of a real-time data stream to a system for analysis, pattern recognition, and anomaly detection can require distributed system architectures and sophisticated custom programming. This paper presents a case study of a simplified interface between Programmable Logic Controller (PLC) real-time data output, signal processing, cloud computing, and tablet systems. The discussed approach consists of three parts: First, the connectivity of real-time data from PLCs to the signal processing algorithms, using standard communication technologies. Second, the interface of legacy routines, such as NASA's Inductive Monitoring System (IMS), with a hybrid signal processing system. Third, the connectivity and interaction of the signal processing system with a wireless and distributed tablet, (iPhone/iPad) in a hybrid system configuration using cloud computing. This proposed configuration allows for back-and-forth interactivity between tablet logic, standard signal processing systems, PLC logic, and remote aerospace system hardware. The application of tablet computing in the cloud can provide flexibility of operations in spacecraft systems. Astronauts can use tablets as a mobile device for monitoring and visualization of space hardware. The tablet can work as a display interface, while all computing and processing is done in the cloud. The preliminary study will involve a case of the propulsion system of a spacecraft.
Cortes, Edwin A., Rabelo, Luis
Phoning It In: Making Smartphones Secure Enough for Tactical CommunicationsTBMG-165666/1/2013
You suddenly find yourself pinned down by enemy gunfire. What do you do? Whip out your smartphone and call for an airstrike? Yes, if the U.S. Marine Corps has its way.
Web Application Software for Ground Operations Planning Database (GOPDb) ManagementTBMG-165856/1/2013
A Web application facilitates collaborative development of the ground operations planning document. This will reduce costs and development time for new programs by incorporating the data governance, access control, and revision tracking of the ground operations planning data.
An Offload NIC for NASA, NLR, and Grid ComputingTBMG-163335/1/2013
This work addresses distributed data management and access — dynamically configurable high-speed access to data distributed and shared over wide-area high-speed network environments. An offload engine NIC (network interface card) is proposed that scales at n×10- Gbps increments through 100-Gbps full duplex. The Globus de facto standard was used in projects requiring secure, robust, high-speed bulk data transport. Novel extension mechanisms were derived that will combine these technologies for use by GridFTP, bandwidth management resources, and host CPU (central processing unit) acceleration. The result will be wire-rate encrypted Globus grid data transactions through offload for splintering, encryption, and compression.
Cloud Computing OEE (Overall Equipment Effectiveness) for Reducing Production Downtime2013-01-13244/8/2013
Measuring Overall Equipment Effectiveness (OEE) is important for identifying areas of improvement within a Manufacturing Process such as Quality, Performance and Availability losses. In many cases one maybe related to the other. This paper explores how “OEE on the Cloud Computing platform” offers a unique value proposition that can greatly help reduce Production downtime and other losses. This solution enables the enterprise to monitor the production process in real-time and in a cost effective manner. This paper also analyzes some of the challenges faced in implementing such a solution and means of overcoming these challenges.
Anand, Ravi
Towards Efficient Scientific Data Management Using Cloud StorageTBMG-161554/1/2013
A software prototype allows users to backup and restore data to/from both public and private cloud storage such as Amazon’s S3 and NASA’s Nebula. Unlike other off-the-shelf tools, this software ensures user data security in the cloud (through encryption), and minimizes users’ operating costs by using space- and bandwidth-efficient compression and incremental backup. Parallel data processing utilities have also been developed by using massively scalable cloud computing in conjunction with cloud storage.
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