| 2 | Spatial and spectral measurement of laser-driven protons through radioactivation显示文摘The simultaneous measurement of the spatial profile and spectrum of laser-accelerated protons is important for further optimization of the beam qualities and applications.We report a detailed study regarding the underlying physics and regular procedure of such a measurement through the radioactivation of a stack composed of aluminum,copper,and CR-39 plates as well as radiochromic films(RCFs).After being radioactivated,the copper plates are placed on imaging plates(IPs)to detect the positrons emitted by the reaction products through contact imaging.The spectrum and energy-dependent spatial profile of the protons are then obtained from the IPs and confirmed by the measured ones from the RCFs and CR-39 plates.We also discuss the detection range,influence of electrons,radiation safety,and spatial resolution of this measurement.Finally,insights regarding the extension of the current method to online measurements and dynamic proton imaging are also provided. | Yin‑Ren Shou Xue‑Zhi Wu Gwang‑Eun Ahn Seung Yeon Kim Seong Hoon Kim Hwang Woon Lee Jin Woo Yoon Jae Hee Sung Seong Ku Lee Xue‑Qing Yan Il Woo Choi Chang Hee Nam | 2023 | Nuclear Science and Techniques2023，34，12： | 0 |
| 3 | Guest Editorial:Special issue on explainable AI empowered for indoor positioning and indoor navigation显示文摘The convergence of Internet of Things(IoT),vehicularad hoc network(VANET),and mobile ad hoc network relies on sensor networks to gather data from nodes or objects.These networks involve nodes,gateways,and anchors,operating on limited battery power,mainly used in broadcasting.IoT applications,like healthcare,smart cities,and transportation,often need position data and face challenges in delay sensitivity.Localisation is important in ITS and VANETs,influencing autonomous vehicles,collision warning systems,and road information dissemination.A robust localisation system,often combining GPS with techniques like Dead Reckoning and Image/Video Localisation,is essential for accuracy and security.Artificial intelligence(AI)integration,particularly in machine learning,enhances indoor wireless localisation effectiveness.Advancements in wireless communication(WSN,IoT,and massive MIMO)transform dense environments into programmable entities,but pose challenges in aligning self‐learning AI with sensor tech for accuracy and budget considerations.We seek original research on sensor localisation,fusion,protocols,and positioning algorithms,inviting contributions from industry and academia to address these evolving challenges. | Ki‐Il Kim Aswani Kumar Cherukuri Xue Jun Li Tanveer Ahmad Muhammad Rafiq Shehzad Ashraf Chaudhry | 2023 | CAAI Transactions on Intelligence Technology2023，8，4： | 0 |
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