English
Related papers

Related papers: A MIDAS-based Data Acquisition System for Gaseous …

200 papers

Trigger and data acquisition (TDAQ) systems for modern HEP experiments are composed of thousands of hardware and software components depending on each other in a very complex manner. Typically, such systems are operated by non-expert shift…

The Gas Amplifier Detector with Germanium Tagging (GADGET) is a new detection system devoted to the measurement of weak, low-energy $\beta$-delayed proton decays relevant for nuclear astrophysics studies. It is comprised of a new gaseous…

Transformers are critical assets in power systems and transformer failures can cause asset damage, customer outages, and safety concerns. Dominion Energy has a sophisticated monitoring process for the transformers. One of the most…

Signal Processing · Electrical Eng. & Systems 2019-09-06 Xianda Deng , Kyle Thomas , Huiying Huang , Scott P Adams , Hesen Liu

Data-driven modeling of dynamical systems often faces numerous data-related challenges. A fundamental requirement is the existence of a unique set of parameters for a chosen model structure, an issue commonly referred to as identifiability.…

Systems and Control · Electrical Eng. & Systems 2024-05-24 Arthur N. Montanari , François Lamoline , Robert Bereza , Jorge Gonçalves

The PandaX-III experiment uses high pressure gaseous time projection chamber to search for the neutrinoless double beta decay of $^{136}$Xe. A modular slow control system~(SCS) has been designed to monitor all the critical parameters of the…

High Energy Physics - Experiment · Physics 2021-05-26 Xiyu Yan , Xun Chen , Yu Chen , Bo Dai , Heng Lin , Tao Li , Ke Han , Kaixiang Ni , Fusang Wang , Shaobo Wang , Qibin Zheng , Xinning Zeng

Distributed Acoustic Sensing (DAS) has emerged as a promising tool for real-time traffic monitoring in densely populated areas. In this paper, we present a novel concept that integrates DAS data with co-located visual information. We use…

Geophysics · Physics 2025-08-26 Khen Cohen , Liav Hen , Ariel Lellouch

The ability to formulate maps of minimum detectable activities (MDAs) that describe the sensitivity of an ad hoc measurement that used one or more freely moving radiation detector systems would be significantly beneficial for the conduct…

Instrumentation and Detectors · Physics 2025-03-17 Mark S. Bandstra , Daniel Hellfeld , Jaewon Lee , Brian J. Quiter , Marco Salathe , Jayson R. Vavrek , Tenzing H. Y. Joshi

Data-driven methods (DDMs), such as deep neural networks, offer a generic approach to integrated data analysis (IDA), integrated diagnostic-to-control (IDC) workflows through data fusion (DF), which includes multi-instrument data fusion…

Many research questions can be answered quickly and efficiently using data already collected for previous research. This practice is called secondary data analysis (SDA), and has gained popularity due to lower costs and improved research…

Digital Libraries · Computer Science 2020-04-07 Yasith Jayawardana , Sampath Jayarathna

Modern video segmentation methods adopt object queries to perform inter-frame association and demonstrate satisfactory performance in tracking continuously appearing objects despite large-scale motion and transient occlusion. However, they…

Computer Vision and Pattern Recognition · Computer Science 2024-07-22 Yikang Zhou , Tao Zhang , Shunping Ji , Shuicheng Yan , Xiangtai Li

Recent year has brought considerable advancements in Electric Vehicles (EVs) and associated infrastructures/communications. Intrusion Detection Systems (IDS) are widely deployed for anomaly detection in such critical infrastructures. This…

We developed a SpaceWire-based data acquisition (DAQ) system for the FOXSI-4 and FOXSI-5 sounding rocket experiments, which aim to observe solar flares with high sensitivity and dynamic range using direct X-ray focusing optics. The FOXSI-4…

Distributed acoustic sensing (DAS) is a relatively new technology for recording stress wave propagation, with promising applications in both engineering and geophysics. DAS's ability to simultaneously collect high spatial resolution data…

Geophysics · Physics 2022-10-27 Michael B. S. Yust , Brady R. Cox , Joseph P. Vantassel , Peter G. Hubbard

The ATLAS experiment at the Large Hadron Collider has implemented a new system for recording information on detector status and data quality, and for transmitting this information to users performing physics analysis. This system revolves…

Instrumentation and Detectors · Physics 2012-05-15 T. Golling , H. S. Hayward , P. U. E. Onyisi , H. J. Stelzer , P. Waller

The acquisition of training data is crucial for machine learning applications. Data markets can increase the supply of data, particularly in data-scarce domains such as healthcare, by incentivizing potential data providers to join the…

Machine Learning · Computer Science 2024-10-01 Charles Lu , Baihe Huang , Sai Praneeth Karimireddy , Praneeth Vepakomma , Michael Jordan , Ramesh Raskar

Anomaly detection (AD) plays an important role in numerous applications. We focus on two understudied aspects of AD that are critical for integration into real-world applications. First, most AD methods cannot incorporate labeled data that…

Machine Learning · Computer Science 2023-06-06 Chun-Hao Chang , Jinsung Yoon , Sercan Arik , Madeleine Udell , Tomas Pfister

The present paper describes the design of a cost effective, better resolution data acquisition system (DAS) which is compatible to most of the PC and laptops. A low cost DAS has been designed using PIC12F675 having 4-channel analog input…

Hardware Architecture · Computer Science 2012-07-10 N. Monoranjan Singh , K. C. Sarma

Modern DAQ systems typically use the FPGA-based PCIe cards to concentrate and deliver the data to a computer used as an entry node of the data processing network. This paper presents a QEMU-based methodology for the co-development of the…

Instrumentation and Detectors · Physics 2023-09-28 Wojciech M. Zabołotny

Detecting anomalies for dynamic graphs has drawn increasing attention due to their wide applications in social networks, e-commerce, and cybersecurity. Recent deep learning-based approaches have shown promising results over shallow methods.…

Machine Learning · Computer Science 2021-10-29 Yixin Liu , Shirui Pan , Yu Guang Wang , Fei Xiong , Liang Wang , Qingfeng Chen , Vincent CS Lee

This study presents a novel analytical framework for modeling unsteady gas dynamics in parallel pipeline systems under leakage conditions. The proposed method introduces a time-dependent leakage mass flow rate function, which dynamically…

Optimization and Control · Mathematics 2025-09-12 Ilgar G. Aliyev , Konul Gafarbayli , Ahad Mammadov , Firangiz Mammadrazayeva