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View article: CCAT: Readout of over 10,000 280 GHz KIDs in Mod-Cam using RFSoC Electronics
CCAT: Readout of over 10,000 280 GHz KIDs in Mod-Cam using RFSoC Electronics Open
Over the past decade, kinetic inductance detectors (KIDs) have emerged as a viable superconducting technology for astrophysics at millimeter and submillimeter wavelengths. KIDs spanning 210 - 850 GHz across seven instrument modules will be…
View article: CCAT: Mod-Cam Readout Overview and Flexible Stripline Performance
CCAT: Mod-Cam Readout Overview and Flexible Stripline Performance Open
The CCAT Observatory's first-light and commissioning instrument, Mod-Cam, is nearing readiness for deployment to the Fred Young Submillimeter Telescope (FYST) in the Atacama Desert in northern Chile. In-lab testing of Mod-Cam and the first…
View article: CCAT: Mod-Cam Cryogenic Performance and its Impact on 280 GHz KID Array Noise
CCAT: Mod-Cam Cryogenic Performance and its Impact on 280 GHz KID Array Noise Open
The CCAT Observatory's Fred Young Submillimeter Telescope (FYST) is designed to observe submillimeter astronomical signals with high precision, using receivers fielding state-of-the-art kinetic inductance detector (KID) arrays. Mod-Cam, a …
View article: Maximizing User Connectivity in AI-Enabled Multi-UAV Networks: A Distributed Strategy Generalized to Arbitrary User Distributions
Maximizing User Connectivity in AI-Enabled Multi-UAV Networks: A Distributed Strategy Generalized to Arbitrary User Distributions Open
Deep reinforcement learning (DRL) has been extensively applied to Multi-Unmanned Aerial Vehicle (UAV) network (MUN) to effectively enable real-time adaptation to complex, time-varying environments. Nevertheless, most of the existing works …
View article: Learning with Dynamics: Autonomous Regulation of UAV Based Communication Networks with Dynamic UAV Crew
Learning with Dynamics: Autonomous Regulation of UAV Based Communication Networks with Dynamic UAV Crew Open
Unmanned Aerial Vehicle (UAV) based communication networks (UCNs) are a key component in future mobile networking. To handle the dynamic environments in UCNs, reinforcement learning (RL) has been a promising solution attributed to its stro…
View article: When Learning Meets Dynamics: Distributed User Connectivity Maximization in UAV-Based Communication Networks
When Learning Meets Dynamics: Distributed User Connectivity Maximization in UAV-Based Communication Networks Open
Distributed management over Unmanned Aerial Vehicle (UAV) based communication networks (UCNs) has attracted increasing research attention. In this work, we study a distributed user connectivity maximization problem in a UCN. The work featu…
View article: A semantic approach to mapping the Provenance Ontology to Basic Formal Ontology
A semantic approach to mapping the Provenance Ontology to Basic Formal Ontology Open
The Provenance Ontology (PROV-O) is a World Wide Web Consortium (W3C) recommended ontology used to structure data about provenance across a wide variety of domains. Basic Formal Ontology (BFO) is a top-level ontology ISO/IEC standard used …
View article: Real-Time Dynamic Map with Crowdsourcing Vehicles in Edge Computing
Real-Time Dynamic Map with Crowdsourcing Vehicles in Edge Computing Open
Autonomous driving perceives surroundings with line-of-sight sensors that are compromised under environmental uncertainties. To achieve real time global information in high definition map, we investigate to share perception information amo…
View article: Data_Olivine dissolution in the presence of green microalgae.xlsx
Data_Olivine dissolution in the presence of green microalgae.xlsx Open
Data_Olivine dissolution in the presence of green microalgae
View article: U-Statistics for Left Truncated and Right Censored Data
U-Statistics for Left Truncated and Right Censored Data Open
The analysis left truncated and right censored data is very common in survival and reliability analysis. In lifetime studies patients often subject to left truncation in addition to right censoring. For example, in bone marrow transplant s…
View article: Replication data and theory code for: Observation of a Majorana zero mode in a topologically protected edge channel
Replication data and theory code for: Observation of a Majorana zero mode in a topologically protected edge channel Open
Replication Data for: Observation of a Majorana zero mode in a topologically protected edge channel
View article: Replication data and theory code for: Observation of a Majorana zero mode in a topologically protected edge channel
Replication data and theory code for: Observation of a Majorana zero mode in a topologically protected edge channel Open
Replication Data for: Observation of a Majorana zero mode in a topologically protected edge channel