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Industry 4.0 in Agriculture

John Deere India Pvt, Ltd.-Vishal Eknath Kirve
  • Technical Paper
  • 2019-28-2442
To be published on 2019-11-21 by SAE International in United States
In recent times, there has been an enormous shift towards automation in Auto as well as Agriculture Industry. Farming is playing an important role in the survival of world. Currently, agricultural industry is facing several challenges. These challenges can be reduced or removed by using automation in the agricultural tools and techniques. Industry 4.0 is the industrial fourth revolution which focused on automations in manufacturing technologies such as cyber physical systems, Internet of Things, artificial intelligence and cloud and cognitive computing. The development and improvement of the connectivity between agricultural tools is leading to significant progress in the agricultural practices. Advancement and automation of the technologies with Internet of Things (IoT), replacing traditional agricultural methodologies which causes wide range of improvements in the fields. The main purpose of this paper is focused on the review of basic concept of Industry 4.0, the number of new tools and techniques used by smart agriculture for the improvement in the fields and the list of benefits of smart agricultural solutions. Smart Agriculture is using advanced technologies such as…
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Digital Twins for Prognostic Profiling

Altair Engineering India Pvt Ltd.-Painuri Thukaram, Sreeram Mohan
  • Technical Paper
  • 2019-28-2456
To be published on 2019-11-21 by SAE International in United States
Digital Twins for Prognostic Profiling Authors: Sreeram Mohan*, Painuri Thukaram**, Panduranga Rao*** Objective / Question: 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. Methodology: With currently available disruptive technologies , systems are integrated multi-domain 'mechatronics' systems operating in closed-loop/close-interaction. This poses great challenges 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 aircraft loss-of-control. Essentially, it is either too expensive or impossible to…
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HANDLING EXCEPTIONAL SITUATION OF AN AUTONOMOUS VEHICLE

General Motors Technical Center India-Balasab Kardegouda
  • Technical Paper
  • 2019-28-2526
To be published on 2019-11-21 by SAE International in United States
In autonomous vehicle world human safety takes highest priority. And most researchers agree that machines won't be able to completely take over driving duties for years or even decades. "Today's autonomous vehicles can drive relatively well in typical settings, but they fail in exceptional situations - and it's those situations that are the most dangerous," said Walter Lasecki, an assistant professor of computer science and engineering. "Designing autonomous systems that can handle those exceptional situations could take decades, and in the meantime, we're going to need something to fill the gap. Few companies have introduced human safety drivers in autonomous vehicles which has cost advantage compared to traditional ride sharing services. Combining human and artificial intelligence in autonomous vehicles could push driverless cars more quickly toward wide - scale adoption. The aim of this paper is to showcase serial data architecture of high speed data transfer of critical predicted vehicle data of an exceptional situations, both onboard and offboard. This data shall be used for instantaneous analysis and decision making during exceptional situations. According to…
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Electronic Travelling Kit for Navigation of Visually Challenged Individuals

SRM Institute of Science and Technology-Rajarajeswari Rathinam, Suchitra Dayalan, Harris Mathews
  • Technical Paper
  • 2019-28-0162
Published 2019-10-11 by SAE International in United States
Navigation of visually challenged persons is found tough, as they frequently do not get the essential details for escaping the perils and risk they come across when they want to reach a destination. Modernization of the world leads to the usage of technologically equipped devices to make compact and cost-effective setup. In order to help the visually impaired person to navigate securely swiftly an impediment identification system employing techno equipment such as Ultrasonic Sensors (US) and Universal Serial camera-based visual navigation system is proposed. The proposed framework identifies obstruction via the US and transmits audio signals as feedback to guide the individual about the location to be reached. Moreover, for capturing the location where the person has to move a universal serial bus (USB) webcam is employed. USB webcam is also deployed to distinguish between a human and an obstacle. In order to identify the persons well known to the visually challenged and also the presence of other human movements a face recognition system using image processing is adopted in the proposed system. The General…
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Neural Lander Uses AI to Land Drones Smoothly

  • Magazine Article
  • TBMG-35288
Published 2019-10-01 by Tech Briefs Media Group in United States

Landing multi-rotor drones smoothly is difficult. Complex turbulence is created by the airflow from each rotor bouncing off the ground during a descent. This turbulence is not well understood nor is it easy to compensate for, particularly for autonomous drones. That is why takeoff and landing are often the two most difficult parts of a drone flight. Drones typically wobble and inch slowly toward a landing until power is finally cut and they drop the remaining distance to the ground.

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Artificial Intelligence and Autonomous Vehicles

Aerospace & Defense Technology: October 2019

  • Magazine Article
  • 19AERP10_01
Published 2019-10-01 by SAE International in United States

The use of artificial intelligence (AI) based machine learning technologies in autonomous vehicles is on the rise. Helping to drive this trend is the availability of a new class of embedded AI processors. A good example is NVIDIA's Jetson family, which includes small form factor system on modules (SoMs) that provide GPU-accelerated parallel processing. These high-performance, low-power devices are designed to support the deep learning and computer vision capabilities needed to build software-defined autonomous machines. They derive massive computing capabilities from the use of a parallel processing GPU device with many cores, enabling next-gen computing devices to take on many of the tasks that were historically handled by humans or multiple, traditional computers.

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Design Approach for Secure Networks to Introduce Data Analytics within the Aircraft Cabin

Hamburg University of Technology-Hartmut Hintze, Fabian Giertzsch, Ralf God
Published 2019-09-16 by SAE International in United States
In the past, aircraft network design did not demand for information security considerations. The aircraft systems were simple, obscure, proprietary and, most importantly for security, the systems have been either physically isolated or they have been connected by directed communication links. The union of the aircraft systems thus formed a federated network. These properties are in sharp contrast with today’s system designs, which rest upon platform-based solutions with shared resources being interconnected by a massively meshed and shared communication network. The resulting connectivity and the high number of interfaces require an in-depth security analysis as the systems also provide functions that are required for the safe operation of the aircraft. This network design evolution, however, resulted in an iterative and continuous adaption of existing network solutions as these have not been developed from scratch. Now, with the upcoming trend of data analytics and artificial intelligence applications, which demand for an extensive availability of data, holistic aircraft cabin networks are necessary to satisfy the associated requirements. For the development of such networks this paper proposes a…
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Intelligent Real Time Inspection of Rivet Quality Supported by Human-Robot-Collaboration

PIKON Deutschland AG-Benjamin Duppe, Albert Schulz
ZeMA GmbH-Rainer Mueller, Matthias Vette, Tobias Masiak
Published 2019-09-16 by SAE International in United States
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 a lifting unit so that it can properly position the anvil. In the meantime, the human performs the more complex tasks of inserting the solid rivets and operating the riveting hammer from the outside of the section barrel.By implementing a…
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Cancer Device Determines Whether Targeted Chemotherapy Is Working

  • Magazine Article
  • TBMG-35084
Published 2019-09-01 by Tech Briefs Media Group in United States

Rutgers University researchers have created a device that can determine whether targeted chemotherapy drugs are working on individual cancer patients. The portable device, which uses artificial intelligence and biosensors, is up to 95.9 percent accurate in counting live cancer cells when they pass through electrodes, according to a study in the journal Microsystems & Nanoengineering.

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The Navigator

Autonomous Vehicle Engineering: September 2019

  • Magazine Article
  • 19AVEP09_02
Published 2019-09-01 by SAE International in United States

No trust in AI systems without data protection

When people surround themselves with microphones and cameras, others will be listening and watching. This reality shouldn't come as a surprise, but remarkably it does. The advent of automated driving will dramatically expand this activity. In fact, it is already creating controversy.

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