Paramsothy Jayakumar
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View article: Variational quantum and neural quantum states algorithms for the linear complementarity problem
Variational quantum and neural quantum states algorithms for the linear complementarity problem Open
Variational quantum algorithms (VQAs) are promising hybrid quantum-classical methods designed to leverage the computational advantages of quantum computing while mitigating the limitations of current noisy intermediate-scale quantum (NISQ)…
View article: Variational quantum and neural quantum states algorithms for the linear complementarity problem
Variational quantum and neural quantum states algorithms for the linear complementarity problem Open
Variational quantum algorithms (VQAs) are promising hybrid quantum-classical methods designed to leverage the computational advantages of quantum computing while mitigating the limitations of current noisy intermediate-scale quantum (NISQ)…
View article: An application of continuous-variable gate synthesis to quantum simulation of classical dynamics
An application of continuous-variable gate synthesis to quantum simulation of classical dynamics Open
Although quantum computing holds promise to accelerate a wide range of computational tasks, the quantum simulation of quantum dynamics as originally envisaged by Feynman remains the most promising candidate for achieving quantum advantage.…
View article: Comparing real and simulated performance for an off‐road autonomous ground vehicle in obstacle avoidance
Comparing real and simulated performance for an off‐road autonomous ground vehicle in obstacle avoidance Open
This field report presents the results of a study of obstacle detection and avoidance (ODOA) by an autonomous ground vehicle (AGV) in off‐road driving conditions. This study included both real and simulated testing of the AGV and served as…
View article: Results on non local impulsive implicit Caputo-Hadamard fractional differential equations
Results on non local impulsive implicit Caputo-Hadamard fractional differential equations Open
The results for a new modeling integral boundary value problem using Caputo-Hadamard impulsive implicit fractional differential equations with Banach space are investigated, along with the existence and uniqueness of solutions. The Krasnos…
View article: ConvBKI: Real-Time Probabilistic Semantic Mapping Network with Quantifiable Uncertainty
ConvBKI: Real-Time Probabilistic Semantic Mapping Network with Quantifiable Uncertainty Open
In this paper, we develop a modular neural network for real-time {\color{black}(> 10 Hz)} semantic mapping in uncertain environments, which explicitly updates per-voxel probabilistic distributions within a neural network layer. Our approac…
View article: Traffic Pattern Segmentation for Large Scale eCommerce Applications
Traffic Pattern Segmentation for Large Scale eCommerce Applications Open
1. Abstract This white paper explores the implementation of traffic pattern segmentation in large-scale eCommerce applications. By leveraging segmented traffic routing within an active-active infrastructure set-up, businesses can enhance p…
View article: Terrain Characterization via Machine vs. Deep Learning Using Remote Sensing
Terrain Characterization via Machine vs. Deep Learning Using Remote Sensing Open
Terrain traversability is critical for developing Go/No-Go maps for ground vehicles, which significantly impact a mission’s success. To predict the mobility of terrain, one must understand the soil characteristics. In-situ measurements per…
View article: Real-Time Workload Estimation Using Eye Tracking: A Bayesian Inference Approach
Real-Time Workload Estimation Using Eye Tracking: A Bayesian Inference Approach Open
http://deepblue.lib.umich.edu/bitstream/2027.42/176125/1/IJHCI_Bayesian_inference_for_workload_estimation.pdf
View article: A note on equality-constrained continuous optimization within the quantum approximate optimization framework
A note on equality-constrained continuous optimization within the quantum approximate optimization framework Open
The possibility of controlling the evolution of a quantum wavepacket to achieve optimization of a high-dimensional continuous function has been proposed and subsequently experimentally demonstrated in optical quantum hardware. In this shor…
View article: Tensor-Train Compression of Discrete Element Method Simulation Data
Tensor-Train Compression of Discrete Element Method Simulation Data Open
We propose a framework for discrete scientific data compression based on the tensor-train (TT) decomposition. Our approach is tailored to handle unstructured output data from discrete element method (DEM) simulations, demonstrating its eff…
View article: MotionSC: Data Set and Network for Real-Time Semantic Mapping in Dynamic Environments
MotionSC: Data Set and Network for Real-Time Semantic Mapping in Dynamic Environments Open
This work addresses a gap in semantic scene completion (SSC) data by creating a novel outdoor data set with accurate and complete dynamic scenes. Our data set is formed from randomly sampled views of the world at each time step, which supe…
View article: Dynamic Semantic Occupancy Mapping Using 3D Scene Flow and Closed-Form Bayesian Inference
Dynamic Semantic Occupancy Mapping Using 3D Scene Flow and Closed-Form Bayesian Inference Open
This paper reports on a dynamic semantic mapping framework that incorporates 3D scene flow measurements into a closed-form Bayesian inference model. Existence of dynamic objects in the environment can cause artifacts and traces in current …
View article: An Active Learning Framework for Constructing High-Fidelity Mobility Maps
An Active Learning Framework for Constructing High-Fidelity Mobility Maps Open
A mobility map, which provides maximum achievable speed on a given terrain, is essential for path planning of autonomous ground vehicles in off-road settings. While physics-based simulations play a central role in creating next-generation,…
View article: Continuous-variable optimization with neural network quantum states
Continuous-variable optimization with neural network quantum states Open
Inspired by proposals for continuous-variable quantum approximate optimization (CV-QAOA), we investigate the utility of continuous-variable neural network quantum states (CV-NQS) for performing continuous optimization, focusing on the grou…
View article: Dynamic Semantic Occupancy Mapping using 3D Scene Flow and Closed-Form Bayesian Inference
Dynamic Semantic Occupancy Mapping using 3D Scene Flow and Closed-Form Bayesian Inference Open
This paper reports on a dynamic semantic mapping framework that incorporates 3D scene flow measurements into a closed-form Bayesian inference model. Existence of dynamic objects in the environment can cause artifacts and traces in current …
View article: Characterizing Soil Stiffness Using Thermal Remote Sensing and Machine Learning
Characterizing Soil Stiffness Using Thermal Remote Sensing and Machine Learning Open
Soil strength characterization is essential for any problem that deals with geomechanics, including terramechanics/terrain mobility. Presently, the primary method of collecting soil strength parameters through in situ measurements but send…
View article: A new type of exterior and frontier in Topological spaces
A new type of exterior and frontier in Topological spaces Open
In this paper, we introduce gp * -exterior and gp * -frontier and some of its basic properties.
View article: Reviewer's Recognition
Reviewer's Recognition Open
The Reviewers of the Year Award is given to reviewers who have made an outstanding contribution to the journal in terms of the quantity, quality, and turnaround time of reviews completed during the past 12 months. The prize includes a Wall…
View article: Utilizing Hyperspectral Remote Sensing for Soil Gradation
Utilizing Hyperspectral Remote Sensing for Soil Gradation Open
Soil gradation is an important characteristic for soil mechanics. Traditionally soil gradation is performed by sieve analysis using a sample from the field. In this research, we are interested in the application of hyperspectral remote sen…
View article: Fuses for Hybrid and Electrical Vehicle Application
Fuses for Hybrid and Electrical Vehicle Application Open
Electrical fuse links have been in use since the earliest days of electric telegraph and power distribution. The arrival of HEV applications brings with it new set of design challenges for fuse links. This paper discusses, the fuse link se…
View article: A Workload Adaptive Haptic Shared Control Scheme for Semi-Autonomous Driving
A Workload Adaptive Haptic Shared Control Scheme for Semi-Autonomous Driving Open
Haptic shared control is used to manage the control authority allocation between a human and an autonomous agent in semi-autonomous driving. Existing haptic shared control schemes, however, do not take full consideration of the human agent…
View article: Neural network based terramechanics modeling and estimation for deformable terrains
Neural network based terramechanics modeling and estimation for deformable terrains Open
In this work, a neural network based terramechanics model and terrain estimator are presented with an outlook for optimal control applications such as model predictive control. Recognizing the limitations of the state-of-the-art terramecha…
View article: NLOptControl: A modeling language for solving optimal control problems
NLOptControl: A modeling language for solving optimal control problems Open
Current direct-collocation-based optimal control software is either easy to use or fast, but not both. This is a major limitation for users that are trying to formulate complex optimal control problems (OCPs) for use in on-line application…
View article: Real-time trajectory planning for automated vehicle safety and performance in dynamic environments
Real-time trajectory planning for automated vehicle safety and performance in dynamic environments Open
Safe trajectory planning for high-performance automated vehicles in an environment with both static and moving obstacles is a challenging problem. Part of the challenge is developing a formulation that can be solved in real-time while incl…
View article: Toward Real-time Assessment of Workload: A Bayesian Inference Approach
Toward Real-time Assessment of Workload: A Bayesian Inference Approach Open
Workload management is of critical concern in teleoperation of unmanned vehicles, because high workload can lead to sub-optimal task performance and can harm human operators’ long-term well-being. In the present study, we conducted a human…
View article: Modeling and Identification in Structural Dynamics
Modeling and Identification in Structural Dynamics Open
Analytical modeling of structures subjected to ground motions is an important aspect of fully dynamic earthquake-resistant design. In general, linear models are only sufficient to represent structural responses resulting from earthquake mo…