Virtual Reality Based Simulation Testbed for Evaluation of Autonomous Vehicle Behavior Algorithms

Validation of Autonomous Vehicle behavior algorithms requires thorough testing against a wide range of test scenarios. It is not financially and practically feasible to conduct these tests entirely in a real world setting. We discuss the design and implementation of a VR based simulation testbed that allows such testing to be conducted virtually, linking a computer-generated environment to the system running the autonomous vehicle\u27s decision making algorithms and operating in real-time. We illustrate the system by further discussing the design and implementation of an application that builds upon the VR simulation testbed to visually evaluate the performance of an Advance Driver Assist System (ADAS), namely Cooperative Adaptive Cruise Control (CACC) controller against an actor using vehicular navigation data from real traffic within a virtual 3D environment of Clemson University\u27s campus. With this application, our goal is to enable the user to achieve spatial awareness and immersion of physically being inside a test car within a realistic traffic scenario in a safe, inexpensive and repeatable manner in Virtual Reality. Finally, we evaluate the performance of our simulator application and conduct a user study to assess its usability

Engineering Spider Genes for high-Tensile Silk and Patenting Challenges

This paper is a techno- legal review of existing scientific research, which explores the exciting field of genetic engineering and its potential in enhancing the tensile strength of spider silk through targeted modification of spider silk genes. Spider silk is renowned for its remarkable strength and flexibility, rendering it a highly coveted substance for many applications encompassing textiles, medical devices, and construction materials. However, its production on a large scale has been limited by the challenges of obtaining sufficient spider silk quantities. To overcome this limitation, researchers have turned to genetic engineering techniques to modify the genes responsible for spider silk production. This research delves into the development of novel techniques that enable precise and targeted modifications of these genes, aiming to enhance the tensile strength of spider silk even further. Additionally, this paper also addresses the legal challenges associated with patenting genetic modifications of spider silk genes. The unique nature of genetic engineering raises questions regarding patent eligibility, ownership, and potential infringement issues. This study discusses the current legal landscape surrounding patenting genetic modifications, including the criteria for patentability and the ethical considerations. By combining scientific advancements with legal insights, this research aims to contribute to the growing body of knowledge in the field of genetic engineering and provide a comprehensive understanding of the potential challenges and opportunities in enhancing spider silk's tensile strength and protecting intellectual property rights

Boosting the Accuracy of Differentially-Private Histograms Through Consistency

We show that it is possible to significantly improve the accuracy of a general class of histogram queries while satisfying differential privacy. Our approach carefully chooses a set of queries to evaluate, and then exploits consistency constraints that should hold over the noisy output. In a post-processing phase, we compute the consistent input most likely to have produced the noisy output. The final output is differentially-private and consistent, but in addition, it is often much more accurate. We show, both theoretically and experimentally, that these techniques can be used for estimating the degree sequence of a graph very precisely, and for computing a histogram that can support arbitrary range queries accurately.Comment: 15 pages, 7 figures, minor revisions to previous versio

PROTECTION OF SINGLE PHASE INDUCTION MOTOR AND MONITORING

In this project we give a special idea of industrial automation, and fault monitoring. Induction motors are the nerves of many industries. Hence industrial automation is required for precise and accurate operation. The project Arduino based parameter monitoring system for induction motor proposes a control and monitoring system for induction motor based on Arduino communication protocol for safe and economic data communication in industrial fields. Current, voltage, and temperature of the induction motors are very important parameters for its control system. The performance of an induction motor is directly affected by these fundamental quantities. However, during continuous operation it is difficult to control the machines. Arduino system is used for collecting and storing data and generate control signal to start or stop the induction machine. We measure the different type of fault such as Over Voltage, Over Current and Over Temperature