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Related papers: Interim Design Report

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Design Research Methodology (DRM) supports systematic design research through representations such as Reference Models and Impact Models. However, the practical construction and maintenance of these models often remains manual, requiring…

Software Engineering · Computer Science 2026-05-12 Apala Chakrabarti

Randomized discontinuation design (RDD) is an enrichment strategy commonly used to address limitations of traditional placebo-controlled trials, particularly the ethical concern of prolonged placebo exposure. RDD consists of two phases: an…

Methodology · Statistics 2025-06-03 Ayon Mukherjee , Oleksandr Sverdlov , Ngoc-Thuy Ha , Yu Deng

Generating safe motion plans in real-time is a key requirement for deploying robot manipulators to assist humans in collaborative settings. In particular, robots must satisfy strict safety requirements to avoid self-damage or harming nearby…

Robotics · Computer Science 2023-02-16 Jonathan Michaux , Qingyi Chen , Yongseok Kwon , Ram Vasudevan

The conclusions of the Physics Working Group of the international scoping study of a future Neutrino Factory and super-beam facility (the ISS) are presented. The ISS was carried by the international community between NuFact05, (the 7th…

High Energy Physics - Phenomenology · Physics 2012-08-27 The ISS Physics Working Group

Dynamic Random Access Memory (DRAM) is the prevalent memory technology used to build main memory systems of almost all computers. A fundamental shortcoming of DRAM is the need to refresh memory cells to keep stored data intact. DRAM refresh…

Hardware Architecture · Computer Science 2023-06-29 Onur Mutlu

The neutron detection system for characterization of emissivity in ITER Tokamak during DD and DT experiments poses serious challenges to the performance of the diagnostic control and data acquisition system (CDAcq). The ongoing design of…

The Fusion Prototypic Neutron Source (FPNS) is considered to be a testbed for scientific understanding of material degradation in future nuclear fusion reactors [1-3]. The primary mission of FPNS is to provide a damage rate in iron samples…

Accelerator Physics · Physics 2020-03-18 Yuri K. Batygin , Eric J. Pitcher

The International Fusion Materials Irradiation Facility - Demo Oriented NEutron Source (IFMIF-DONES) is a single-sited novel Research Infrastructure for testing, validation and qualification of the materials to be used in a fusion reactor.…

Instrumentation and Detectors · Physics 2020-09-17 Javier Praena , Francisco Garcia-Infantes , Laura Fernandez-Maza , Fernando Arias de Saavedra , Ignacio Porras

A Neutrino Factory, sending $>10^{20}$ decay neutrinos per year from a high-energy stored muon beam towards remote detectors, has been suggested as the ultimate tool for precision measurement of the neutrino mixing matrix. Following two…

Accelerator Physics · Physics 2007-05-23 Daniel M. Kaplan

The INFN and the ICARUS collaboration originally developed the technology of the LAr-TPC. Located the underground LNGS Hall-B, the ICARUS T600 detector has been performed over three years with remarkable detection efficiency featuring a…

The proposed Beam Dump Facility (BDF) is foreseen to be located at the North Area of the SPS. It is designed to be able to serve both beam dump like and fixed target experiments. The SPS and the new facility would offer unique possibilities…

This whitepaper reviews design options for the IsoDAR electron antineutrino source. IsoDAR is designed to produce $2.6 \times 10^{22}$ electron antineutrinos per year with an average energy of 6.4 MeV, using isotope decay-at-rest. Aspects…

In the field of high-performance computing (HPC), there has been recent exploration into the use of deep reinforcement learning for cluster scheduling (DRL scheduling), which has demonstrated promising outcomes. However, a significant…

Machine Learning · Computer Science 2024-03-26 Boyang Li , Zhiling Lan , Michael E. Papka

IR-drop is a critical power integrity challenge in modern VLSI designs that can cause timing degradation, reliability issues, and functional failures if not detected early in the design flow. Conventional IR-drop analysis relies on…

Machine Learning · Computer Science 2026-02-02 Ritesh Bhadana

The learning inefficiency of reinforcement learning (RL) from scratch hinders its practical application towards continuous robotic tracking control, especially for high-dimensional robots. This work proposes a data-informed residual…

Systems and Control · Electrical Eng. & Systems 2024-06-10 Cong Li , Fangzhou Liu , Yongchao Wang , Martin Buss

Reservoir computing (RC) is attracting attention as a machine-learning technique for edge computing. In time-series classification tasks, the number of features obtained using a reservoir depends on the length of the input series.…

Machine Learning · Computer Science 2025-04-17 Sosei Ikeda , Hiromitsu Awano , Takashi Sato

Neural radiance fields (NeRF) have transformed 3D reconstruction and rendering, facilitating photorealistic image synthesis from sparse viewpoints. This work introduces an explicit data reuse neural rendering (EDR-NR) architecture, which…

The ILD detector is proposed for an electron-positron collider with collision centre-of-mass energies from 90~\GeV~to about 1~\TeV. It has been developed over the last 10 years by an international team of scientists with the goal to design…

Instrumentation and Detectors · Physics 2020-03-04 The ILD Collaboration

A new parasitic, mixed-field, neutron-dominated irradiation station has been recently commissioned at the European Laboratory for Particle Physics (CERN). The station is installed in the Neutron Time-Of-Flight (n\_TOF) facility, taking…

Cross-Domain Recommendation (CDR) have received widespread attention due to their ability to utilize rich information across domains. However, most existing CDR methods assume an ideal static condition that is not practical in industrial…

Information Retrieval · Computer Science 2024-10-16 Heyuan Huang , Xingyu Lou , Chaochao Chen , Pengxiang Cheng , Yue Xin , Chengwei He , Xiang Liu , Jun Wang