Now showing items 1-10 of 23
An AlGaN tunnel junction light emitting diode operating at 255 nm
(2020-12-14)
We report on the demonstration of high-performance tunnel junction deep ultraviolet (UV) light-emitting diodes (LEDs) by using plasma- assisted molecular beam epitaxy. The device heterostructure was grown under slightly ...
Classification of driving behaviors using STL formulas: A Comparative Study
(2022-07-15)
In this paper, we conduct a preliminary comparative study of the classification of longitudinal driving behavior using Signal Temporal Logic (STL) formulas. The goal of the classification problem is to distinguish between ...
Large-Scale Invariant Sets for Safe Coordination of Thermostatic Loads
(IEEE, 2021-03-22)
Systems often face constraints at multiple levels. For example, in coordinating a collection of thermostatically controlled loads to provide grid services, the controller must ensure temperature constraints for each load ...
Compositional Safety Rules for Inter-Triggering Hybrid Automata
(ACM, 2021-03-15)
In this paper, we present a compositional condition for ensuring safety of a collection of interacting systems modeled by inter-triggering hybrid automata (ITHA). ITHA is a modeling formalism for representing multi-agent ...
Bridging Walking and Slithering – Stokesian Locomotion
(2021-05-20)
Both legged locomotion and slithering motions typically utilize periodic gaits – repeating cycles of body shape
change that produce a net motion through the world. Legged locomotion can be viewed from the perspective of ...
Some Insights about Multi-legged Steering
(2020)
Thanks to their sprawled posture and multi-legged support, stability is not as hard to achieve for hexapedal robots as
it is for bipeds and quadrupeds. A key engineering challenge with hexapods has been to produce insect-like ...
Universal Anomaly Detection and Applications
(2023-04-07)
Anomaly detection is important in many research areas including fraud detection and
biological change detection. However, anomaly detection is a difficult task due to the
lack of anomalies available for training. In this ...
A Semi-Supervised Model for Multi-Label Radioisotope Classification and Out-of-Distribution Detection
(2023-05-02)
In the machine learning problem of multi-label classification, the objective is to determine for each test instance which classes the instance belongs to. In this work, we consider multi-label classification in the context ...