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SMART HONKING

Mahindra & Mahindra, Ltd.-Priyanka Marudhavanan
  • Technical Paper
  • 2019-28-2463
To be published on 2019-11-21 by SAE International in United States
Smart Honking Keywords-Safety, Connectivity, GPS M. Priyanka, Mahindra&Mahindra, India Sai Himaja Nadimpalli, Mahindra&Mahindra,India Keywords-Honking , Infotainment , GPS Research and/or Engineering Questions/Objective: In India unnecessary vehicular honking is the main reason for noise pollution. The problem is worst at traffic signals where drivers start honking without waiting for the signal to turn green or for traffic to move. Drivers show no respect to the law that prohibits the use of horn at traffic signals and other silent zones such as areas near hospitals, schools, religious places and residential areas. Vehicular honking in cities has reached at an alarming level and contributes approximately 70% of the noise pollution in our environment.The unwanted sound can affect human health and behavior, causing annoyance, depression, hypertension, stress, hearing loss, memory loss and panic attacks. Most of the drivers try to release their frustration and tension by blowing horns, possibly due to lack of awareness regarding the negative effects of noise but most likely it is because of the lack of civic sense.. Limitations: There is a provision of sign…
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IMPROVE NVH CHARACTERISTICS OF ENGINE OIL PAN BY OPTIMIZATION & LIGHT WEIGHING WITH DEEP LEARNING PROCESS

Altair Engineering-Srinivas Tangudu, Padmaja Durgam
Altair Engineering India Pvt , Ltd.-Muralidhar Gumma
  • Technical Paper
  • 2019-28-2552
To be published on 2019-11-21 by SAE International in United States
Recent Years “NVH” is gaining lots of attention as the perception of vehicle quality by a consumer is closely aligned to NVH Characteristics. Demand on Vehicle Light weighting to compliance the environmental norms with powerful engines challenging the “Vehicle NVH”, powertrain induced noise will be continued to be a primary factor for all IC engine vehicles. Component level NVH refinement is necessary to control the overall NVH characteristics of vehicle with lighter Vehicle goal. Current Paper works starts with physical testing the Engine oil pan of the most popular vehicle and build an equivalent simulation model by reverse engineering the design and match similar performance trend in simulation model. After building baseline simulation model, conduct shape, topology, gauge and material optimization to improve weight and performance of Oilpan. In addition to the Simulation DVPS to study the complete NVH characteristics oil pan models, a deep Learning model developed with power of GPUs to disrupt oil pan design methodology as well as optimizing the weight, Performance and cost . Every design engineer would like to optimize…
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Vision based solution for auto- maneuvering of vehicle for emerging market

General Motors Technical Center-Souvik Bose, Ashwani Kumar Singh, D V Ram Kumar Singampalli
General Motors Technical Center India-Chandraprakash lalwani
  • Technical Paper
  • 2019-28-2517
To be published on 2019-11-21 by SAE International in United States
Vision based solution for auto- maneuvering of vehicle for emerging market: Author/Co-Author: Singh Ashwani, SDV Ram Kumar, Bose Souvik, Lalwani Chandraprakash General Motors Technical Centre India Key words: Image Processing, Gap finding, virtual/Imaginary lines, Advance Driver Assist System (ADAS), Vehicle to vehicle(V2V)/Vehicle to Infrastructure(V2I/V2X) Research & Engineering Objective: For the various levels of autonomous, the current perception algorithms involve considerable number of sensor inputs like cameras, radars and Lidars and their fusion logics. The planning route for the vehicle navigation is done through map information which is highly volatile and keep changing many at times. Existing steering assist feature during a curve is available by combining additional driver monitoring camera & 360 degree camera. The complexity is very high in the implementation and computation of these algorithm. These solutions are not cost-effective for emerging markets. Non-availability of required infrastructure in developing countries is one of the additional constrain. Feature unavailability due to road infrastructure (ex: poor or no lane markings), bad weather will lead to higher customer dissatisfaction. The objective is to develop a logic/study…
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Electrification System Modeling with Machine/Deep Learning for Virtual Drive Quality Prediction

General Motors Technical Center India-Brijesh Borkar, John Bosco Maria Francis, Pankaj Arora
  • Technical Paper
  • 2019-28-2418
To be published on 2019-11-21 by SAE International in United States
A virtual 'model' is generally a mathematical surrogate of a physical system and when well correlated, serves as a basis for understanding the physical system in part or in entirety. Drive Quality defines a driver's 'experience' of a blend of controlled responses to an applied input. The 'experience' encompasses physical, biological and bio-chemical perception of vehicular motion by the human body. In the automotive domain, many physical modeling tools are used to model the sub-components and its integration at the system level. Physical Modeling requires high domain expertise and is not only time consuming but is also very 'compute-resource' intensive. In the path to achieving 'vDQP (Virtual Drive Quality Prediction)' goal, one of the requirements is to establish 'well-correlated' virtual environments of high fidelity with respect to standard test maneuvers. This helps in advancing many developmental activities from a Controls and Calibration aspect. Recently, machine/deep learning have proven to be very effective in pattern recognition, classification tasks and human-level control to model highly nonlinear real world systems. This paper investigates the effectiveness of deep learning…
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System for Incorporating a Physiological Self-Regulation Challenge into Parcourse/Orienteering Type Games and Simulations

  • Magazine Article
  • TBMG-35264
Published 2019-10-01 by Tech Briefs Media Group in United States

Although biofeedback is an effective treatment for various physiological problems and can be used to optimize physiological functioning in many ways, the benefits can only be attained through a number of training sessions, and such gains can only be maintained over time through regular practice. Adherence to regular training has been a problem that has plagued the field of physiological self-regulation, limiting its utility. As with any exercise, incorporating biofeedback training with another activity encourages participation and enhances its usefulness.

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Less Training Needed for Brain-Machine Interfaces

  • Magazine Article
  • TBMG-35338
Published 2019-10-01 by Tech Briefs Media Group in United States

Brain-machine interfaces (BMIs) are rarely found outside of medical clinics, where the disabled receive hours or days of training in order to operate wheelchairs with their minds. Now the largest-ever BMI experiment Mental Work, conducted as an experimental artwork at EPFL's Artlab, has provided preliminary evidence that training time can be shortened, the use of dry electrodes are a robust solution for public BMI and that user performance tends to improve within a relatively short period of time.

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Hydrogel Adhesive Helps in Wound Healing

  • Magazine Article
  • TBMG-35347
Published 2019-10-01 by Tech Briefs Media Group in United States

Cuts, scrapes, blisters, burns, splinters, and punctures — there are a number of ways our skin can be broken. Most treatments for skin wounds involve simply placing a barrier over them (usually an adhesive gauze bandage) to keep it moist, limit pain, and reduce exposure to infectious microbes, but do not actively assist in the healing process. A new, scalable approach to speeding up wound healing has been developed based on heat-responsive hydrogels that are mechanically active, stretchy, tough, highly adhesive, and antimicrobial: active adhesive dressings (AADs). Created by researchers at the Wyss Institute for Biologically Inspired Engineering at Harvard University, Harvard's John A. Paulson School for Engineering and Applied Sciences (SEAS), and McGill University, AADs can close wounds significantly faster than other methods and prevent bacterial growth without the need for any additional apparatus or stimuli. The research is reported in Science Advances.

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Artificial Intelligence and Autonomous Vehicles

  • Magazine Article
  • TBMG-35360
Published 2019-10-01 by Tech Briefs Media Group 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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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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How HMI displays impact operator productivity in industrial vehicles

SAE Truck & Off-Highway Engineering: October 2019

Markus Wallmyr, head of UX at CrossControl and a researcher with Mälardalen University, wrote this article for Truck & Off-Highway Engineering magazine.-Markus Wallmyr
  • Magazine Article
  • 19TOFHP10_11
Published 2019-10-01 by SAE International in United States

The latest research indicates that well-integrated HMI (human-machine interface) systems lead to more attentive users that better retain task-related information and stay focused for longer with less reported effort. These systems also fit into the wider development trends in off-highway machines that affect operator fatigue in day-to-day tasks.

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