Engineering Commons^™

Hydromodus: An Autonomous Underwater Vehicle, Alex Kost, Anu Mahinkanda, Jordan Read

Electrical Engineering

Hydromodus is a student-led multidisciplinary project conceived by Jordan Read designed to provide a low-cost modular hardware and software solution for researchers and scientists. For the scope of the Senior Project class, it is designed to be a baited remote underwater vehicle (BRUV), but the platform is highly modifiable and open-source.

Eight Degree Of Freedom Vehicle Model With Pitch, Yaw, Tire Control And Sensor Inputs, Sean T. Hirtle

Master's Theses

This research focuses on the development of an eight degree of freedom vehicle model in the MATLAB computing language. Its purpose is to provide flexibility in the modeling and implementation of signal inputs and crash avoidance logic while maintaining accuracy in the physics of the vehicle’s motion. Firstly, the equations of motion for the bodies involved under a reasonable set of assumptions were developed. Next the model was translated to computer code. By writing the model in SimuLink with *.m files, the modularity of the code is enhanced. To validate the model, several well defined tests were simulated.

To establish …

Vehicle Routing Problem With Stochastic Demand (Vrpsd): Optimisation By Neighbourhood Search Embedded Adaptive Ant Algorithm (Ns-Aaa), M Nagalakshmi, Mukul Tripathi, Nagesh Shukla, Manoj Tiwari

Nagesh Shukla

Taking into account the real world applications, this paper considers a vehicle routing problem with stochastic demand (VRPSD) in which the customer demand has been modelled as a stochastic variable. Considering the computational complexity of the problem and to enhance the algorithm performance, a neighbourhood search embedded adaptive ant algorithm (ns-AAA) is proposed as an improvement to the existing ant colony optimisation. The proposed metaheuristic adapts itself to maintain an adequate balance between exploitation and exploration throughout the run of the algorithm. The performance of the proposed methodology is benchmarked against a set of test instances that were generated using …

Usu Engineering Professors Headline Electric Vehicle And Roadway Conference | College Of Engineering, Usu College Of Engineering

College of Engineering News

Originally posted Feb. 10, 2015 – PARK CITY, Utah – Top executives from the automotive industry and engineering experts from Utah State University and around the world came together this week to discuss the future of electric vehicles.

Energy Exchange Between Electric Vehicle Load And Wind Generating Utilities, Ahmad Tavakoli, Michael Negnevitsky, Duc Thanh Nguyen, Kashem M. Muttaqi

Faculty of Engineering and Information Sciences - Papers: Part A

This paper proposes a novel approach to energy exchange between electric vehicle (EV) load and wind generation utilities participating in the day-ahead energy, balancing, and regulation markets. An optimal bidding/offering strategy model is developed to mitigate wind energy and EV imbalance threats, and optimize EV charging profiles. A new strategy model is based on optimizing decision making of a wind generating company (WGenCO) in selecting the best option among the use of the balancing or regulation services, the use of the energy storage system (ESS) and the use of all of them to compensate wind power deviation. Energy imbalance is …

An Efficient Background Modeling Approach Based On Vehicle Detection, Jia-Yan Wang, Limei Song, Jiangtao Xi, Qinghua Guo

Faculty of Engineering and Information Sciences - Papers: Part A

The existing Gaussian Mixture Model(GMM) which is widely used in vehicle detection suffers inefficiency in detecting foreground image during the model phase, because it needs quite a long time to blend the shadows in the background. In order to overcome this problem, an improved method is proposed in this paper. First of all, each frame is divided into several areas(A, B, C and D), Where area A, B, C and D are decided by the frequency and the scale of the vehicle access. For each area, different new learning rate including weight, mean and variance is applied to accelerate the …