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1st International Conference on Physics and engineering Mathematics, ICPEM 2020

作者： Zeng, Chenhao Zhou, Jinge Lai, Wanchang Feng, Xiaojie Chen, Jiehao Yu, Yongping College of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu Sichuan610059 China Dept. of Military Installation Army Logistical University of PLA Chongqing401311 China

The contribution of radon and its progeny to environmental gamma dose should not be ignored. In recent years, a large number of scholars all over the world have studied the migration behavior of radon and its progeny in the environment, and analyzed their impact on environmental gamma dose. Especially in uranium (thorium) bearing mining areas and other special areas, the influence of radon and its progeny is more prominent, which poses an important challenge to radiation monitoring. This paper summarizes the analysis and processing technology of radon and its progeny in environmental gamma monitoring, and puts forward the research trend and development direction of radon and its progeny analysis technology. © Published under licence by IOP Publishing Ltd.

关键词： Radon

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Long-term Wind Energy Resource Prediction in Guangdong Considering Climate Change 4

Long-term Wind Energy Resource Prediction in Guangdong Consi...

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4th Energy Conversion and Economics Annual Forum, ECE Forum 2024

作者： Liang, Chenghao Zhu, Xingyu Ruan, Jiaqi Huang, Qisheng Liang, Gaoqi School of Mechanical Engineering and Automation Harbin Institute of Technology Shenzhen China College of Electrical Engineering Sichuan University Chengdu China

ISBN: (纸本)9781837242627

With the intensification of global climate change and the depletion of fossil energy sources, the low-carbon transition to green energy can reduce fossil energy consumption and environmental pollution. In the low-carbon transition of green energy, it is essential to take climate factors into account in future energy planning. Climate factors such as wind speed, temperature, and light intensity can affect the output and stability of renewable energy, which in turn affects future energy planning. Taking Guangdong Province as an example, this paper analyses the future wind resource changes related to wind power generation in Guangdong Province in the next 40 years, in order to provide reasonable guidance for wind farm construction and future energy planning. © The Institution of engineering & technology 2024.

关键词： Global warming

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Random-coupled Neural Network

arXiv

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arXiv 2024年

作者： Liu, Haoran Liu, Mingzhe Li, Peng Wu, Jiahui Jiang, Xin Zuo, Zhuo Liu, Bingqi The State Key Laboratory of Geohazard Prevention and Geoenvironment Protection Chengdu University of Technology Chengdu610059 China The Applied Nuclear Technology in Geosciences Key Laboratory of Sichuan Province Chengdu University of Technology Chengdu610059 China The School of Data Science and Artificial Intelligence Wenzhou University of Technology Wenzhou325000 China The Engineering & Technical College of Chengdu University of Technology Leshan614000 China The Southwestern Institute of Physics Chengdu610225 China The Chengdu University Chengdu610106 China

Improving the efficiency of current neural networks and modeling them in biological neural systems have become popular research directions in recent years. Pulse-coupled neural network (PCNN) is a well applicated model for imitating the computation characteristics of the human brain in computer vision and neural network fields. However, differences between the PCNN and biological neural systems remain: limited neural connection, high computational cost, and lack of stochastic property. In this study, random-coupled neural network (RCNN) is proposed. It overcomes these difficulties in PCNN’s neuromorphic computing via a random inactivation process. This process randomly closes some neural connections in the RCNN model, realized by the random inactivation weight matrix of link input. This releases the computational burden of PCNN, making it affordable to achieve vast neural connections. Furthermore, the image and video processing mechanisms of RCNN are researched. It encodes constant stimuli as periodic spike trains and periodic stimuli as chaotic spike trains, the same as biological neural information encoding characteristics. Finally, the RCNN is applicated to image segmentation, fusion, and pulse shape discrimination subtasks. It is demonstrated to be robust, efficient, and highly anti-noised, with outstanding performance in all applications mentioned above. Copyright © 2024, The Authors. All rights reserved.

关键词： Image segmentation

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Effect of Long-Term Low-Dose Ionizing Radiation on Soil Microbial Diversity and Structure

SSRN

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SSRN 2022年

作者： Li, Fei Huang, Xiaofei He, Xin Qin, Qingao Jiang, Jianfeng Song, Wenchen Applied Nuclear Techniques in Geosciences Key Laboratory of Sichuan Chengdu University of Technology Chengdu610059 China College of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu610059 China College of Life and Environmental Sciences Minzu University of China Beijing100081 China

Studies investigating the diversity and structure of soil microbial systems in response to ionizing radiation are scarce. In particular, effects of long-term low-dose radiation are rarely studied. This study investigated an area in chengdu, China, which has been irradiated by the radionuclide thorium-232 for more than 10 years. Samples with absorbed dose rates ranging from 192.906 ± 5.05 to 910.964 ± 41.09 nGy/h were collected, and the compositional and functional changes of the soil microbial systems were analyzed. The diversity and structure of the soil microbial systems were determined using high-throughput sequencing. Long-term low-dose ionizing radiation had no significant effect on soil bacterial diversity but had a great impact on fungal diversity, strongly affecting soil microbial community structure. The radiation promoted iron-oxidizing bacteria and ectomycorrhizal fungi and had an inhibitory effect on predatory or parasitic fungi, further affecting the soil C/N ratio. Long-term low-dose radiation affected the carbon and nitrogen transfer processes in plant–microorganism–soil through root-symbiont interaction, which further changed the soil microbial structure. This study provides a reference for future research on the impact of long-term low-dose ionizing radiation on soil ecosystems. © 2022, The Authors. All rights reserved.

关键词： Ionizing radiation

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The Influence Mechanism that Micro Grain-Boundary Structure Parameters of ZnO Varistor to the Macroscopic Electrical Characteristics 4th

The Influence Mechanism that Micro Grain-Boundary Structure ...

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4th International Symposium on Insulation and Discharge Computation for Power Equipment, IDCOMPU 2023

作者： Meng, Pengfei Guo, Jingke Lei, Xiao Zhang, Hengzhi Zhang, Bingbing Zhou, Kai Liu, Zheng Hu, Jun College of Electrical Engineering Sichuan University Chengdu610065 China State Grid Sichuan Electric Power Research Institute Chengdu610041 China Tibet Electric Power Research Institute of State Grid Lhasa850000 China Zhongke Tianji Technology Co. LTD Ningxia Yinchuan750002 China Northwest Institute of Nuclear Technology Xi’an710024 China Department of Electrical Engineering Tsinghua University Beijing100084 China

ISBN: (纸本)9789819974009

ZnO varistors have excellent nonlinear voltage-current characteristics, are widely used in overvoltage protection of electrical equipment. The nonlinear behavior of ZnO varistors is attributed to the double Schottky barrier structure of their grain boundaries. However, few studies have investigated the influence of micro grain-boundary structure parameters on the macroscopic electrical properties of ZnO varistors. In this paper, we utilized the Voronoi network and an improved grain boundary partitioning model to simulate and calculate the impact of micro grain-boundary parameters, such as double Schottky barrier and grain boundary partitioning parameters, on the macroscopic electrical properties of ZnO varistors. By classifying and optimizing grain boundary characteristics based on their effects on classification variables and targets, we effectively simplified the complex multivariate and multi-objective problem. These findings provide insight into improving the performance of ZnO varistors, and are of significant importance for the production of high-performance ZnO varistors. © 2024, Beijing Paike Culture Commu. Co., Ltd.

关键词： Grain boundaries

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A Wristband Design for a Water Rescue System

A Wristband Design for a Water Rescue System

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Electrical, automation and Computer engineering (ICEACE), International Conference on

作者： Quan Qiu Ming Wang Haitao Tuo Shannan Wu Xiao Bai Fan Wang Qingru Yang Fengxian Liu Huijie Lu College of Mechanical and Electrical Engineering Chengdu University of Technology Chengdu China College of Mechatronic Engineering and Automation Shanghai University Shanghai China College of Computer Science and Cyber Security (Oxford Brookes College) Chengdu University of Technology Chengdu China

In recent years, at least 236,000 people die from drowning every year in the world, but the corresponding water rescue equipment is backward. In response to the above problems, this paper fully investigates the UCD (User-Centered Design) theory, applies the UCD theory to the product design framework of a water rescue system. And from theoretical assumptions to actual research and development, from the bracelet early warning to the rescue robot launching, it is committed to promoting the emergency product system design for water rescue. When the bracelet detects that the body temperature, heart rate and humidity are in an abnormal situation, the airbag of the “Life Capsule” bracelet inflates to carry out preliminary self-rescue, while the bracelet sends relevant positioning information to the “Black Box”, which interacts with the bracelet and the “Black Box” through the interaction with the “Black Box”. The “black box” interacts with the bracelet to obtain GPS data combined with inertial navigation algorithms to get the user's position estimate, and then sends the user's position to the early warning center, which receives the user's position and then sends out the surface rescue robot for rescue. This paper mainly focuses on the design of the bracelet of this system and its communication interaction with other parts.

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A study on a nonlinear least-squares fitting method for 3D positioning of gamma rays based onmonolithic crystal and SiPM array

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Radiation Detection technology and Methods 2022年第3期6卷 375-390页

作者： Hongfan Zhang Rong Zhou Rutao Yao Chaowen Yang Su Xu Yijia Shu Bing Jiang Lang Liu Sichuan Management and Monitoring Center Station of Radioactive Environment Chengdu 611139Sichuan provinceChina Key Laboratory of Radiation Physics and Technology College of PhysicsMinistry of EducationSichuan UniversityChengdu 610064Sichuan provinceChina Department of Nuclear Medicine Department of BiophysicsDepartment of Pharmacy PracticeSchool of Medicine and Biomedical SciencesUniversity at BuffaloSUNYBuffaloNY 14214USA Key Laboratory of Radiation Physics and Technology Department of Nuclear Engineering and TechnologyCollege of Physical Science and TechnologyMinistry of EducationSichuan UniversityChengdu 610064Sichuan provinceChina

Purpose In order to improve imaging quality of position sensitive gamma detectors,many research groups especially those interested in positron emission tomography(PET)imaging have done many efforts to develop detecting method with depth of interaction(DOI)capability.A detector with a monolithic lutetium yttrium silicate(LYSO)crystal and an silicon photomultiplier(SiPM)array is constructed by our group for DOI detecting *** 3D interaction coordinates of gamma rays are estimated by a nonlinear least-squares fitting method based on an analytical model in which photon number collected by an SiPM pixel is related to solid angle seen from gamma interaction point and boundary *** have assessed the gamma positioning performance of our detector by projecting a line-like 137Cs gamma beam on top and side surface of the *** source and solid angle factors in the analytical model have also been tested for the best performance both in simulations and *** Good gamma positioning images are demonstrated with both X–Y and DOI positioning resolutions close to 2 mm full width at half maximum(FWHM).Conclusion Comparing to former DOI methods,the performance of our DOI detector can be called competitive in positioning resolution,construction cost and difficulty of assembling.

关键词： PET DOI Monolithic crystal SiPM

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Grouping visual enhancements for Picviz logging visualisation

Grouping visual enhancements for Picviz logging visualisatio...

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作者： Yang, Yue Sen, Shraddha Xiao, Yang Li, Tieshan Navigation College Dalian Maritime University Dalian China Department of Computer Science The University of Alabama TuscaloosaAL35487-0290 United States School of Automation Engineering University of Electronic Science and Technology of China Chengdu610054 China

The logs generated during various processes, such as networking and web surfing, can be voluminous. These logs need to be processed and analysed to enhance the system's quality and performance and facilitate proactive fault detection and handling. Log analysis software such as Picviz, which was built to show huge volumes of data for the sake of security, is one example. The parallel coordinate system in Picviz allows data to be presented in multiple dimensions. Its main aim is to simplify data analysis and identify correlations among variables. However, representing a large amount of data all at once in the software can lead to congested and clustered lines, making it challenging to distinguish and extract information. To address this issue, we propose two improved methods: 'grouping based on comparison of data' and 'grouping of consecutive data'. In order to simplify the reading experience, these plug-ins collect related lines into sets and present them all at once, making the image more readable and comprehensible. This paper outlines four cases to highlight these plug-ins' significance and potential application scenarios for each case. Copyright © 2023 Inderscience Enterprises Ltd.

关键词： Data visualization

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Domain Contrastive Learning for Multi-Site Alzheimer's Disease Classification

Domain Contrastive Learning for Multi-Site Alzheimer's Disea...

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International Conference on Wavelet Active Media technology and Information Processing (ICWAMTIP)

作者： Linda Delali Fiasam Yunbo Rao Collins Sey Esther Stacy E. B. Aggrey Seth Larweh Kodjiku Judith Ayekai Browne Juliana Mantebea Danso Chiagoziem C. Ukwuoma Emmanuel S. A. Gyarteng School of Information and Software Engineering University of Electronic Science and Technology of China School of Computer Science and Technology Zhejiang Gongshang University School of Computer Science and Technology University of Electronic Science and Technology of China University College of Nuclear Technology and Automation Engineering Chengdu University of Technology

In the field of medical imaging, accurately classifying Alzheimer's Disease (AD) poses a substantial challenge, primarily due to the inherent variability in imaging data across different clinical sites. This paper introduces a novel approach, Domain Contrastive Learning (DCL), to address this challenge by enhancing the robustness and transferability of AD classification models using multi-site Magnetic Resonance Imaging (MRI) data. DCL leverages a unique contrastive learning technique within an autoencoder's latent space, enabling the extraction of domain-invariant features essential for accurate diagnosis. We rigorously evaluate the proposed network on brain images from three distinct imaging sites, employing a Domain Generalization (DG) training protocol to ensure robustness and generalizability across varying data sources. Our model is evaluated on three binary classification tasks: AD vs. Normal Control (NC), AD vs. Mild Cognitive Impairment (MCI), and MCI vs. NC. Results demonstrate that DCL outperforms existing methods, especially in AD vs. NC classification, achieving higher accuracy, sensitivity, and specificity with 0.51%, 1.54% and 1.68% increments respectively. This underscores DCL's potential as a robust and generalizable method for enhanced AD diagnosis, marking a significant step forward in medical imaging challenges in a multi-site context.

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Design of Real-Time Vibration Environment Parameter Acquisition System

Design of Real-Time Vibration Environment Parameter Acquisit...

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International Conference on Electronic Measurement and Instruments, ICEMI

作者： Jiahe Chen Lingsong Di Chengdu University of Technology School of Nuclear Technology and Automation Engineering Chengdu Sichuan Chinese People's Liberation Army (PLA) Unit 94259 Yantai Shandong

In order to monitor the vibration of environmental parameters during equipment transportation and storage, a real-time monitoring environmental vibration parameters acquisition system is designed. The system adopts the structural design of separation of sensor and main equipment, and supports the collection and storage of up to 8 three-axis vibration data at the same time, so as to realize the monitoring, recording, and analysis of environmental vibration status. Through the shaker test and the field test of large vessels, it is verified that the system can monitor the vibration component of the three axes in the environment in real-time, and the equipment can operate stably and reliably and has the advantages of high real-time performance and high sensitivity.

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