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Rescue-model: A multi-agent simulation of bushfire disaster management

4th Robot World Cup Soccer Games and Conferences, RoboCup 2000

作者： Au, Gary Goss, Simon Heinze, Clint Pearce, Adrian R. Air Operations Division Defence Science and Technology Organisation Melbourne Australia Department of Software Engineering and Computer Science University of Melbourne Melbourne Australia

ISBN: (纸本)3540421858

The RescueModel project is a vehicle for research into multi-agent systems, architectures, and strategies. It builds on the theoretical, practical, and experimental base of a decade of beliefs-desires-intentions (BDI) agent systems development. This paper describes a project that will bring together the environmental richness found usually in large scale military operations research simulations with the architectural richness of agent models often researched in universities. Proposed applications of RescueModel include search and rescue and disaster response studies. © 2001 Springer-Verlag Berlin Heidelberg.

关键词： Multi agent systems

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Detailed multi canister release model of radionuclides in high level radioactive waste repository using wavelet Galerkin method

Detailed multi canister release model of radionuclides in hi...

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10th International Conference on Nuclear engineering (ICONE 10)

作者： Nasif, Hesham R. Neyama, Atsushi Environmental Engineering Division Computer Software Development Co. 15-1 Tomihisa-Cho Shinjuku-Ku Tokyo 162-0072 Japan

ISBN: (纸本)9784888982566

This work develops a model to calculate the radionuclides release from a repository for high level radioactive waste, taking into account multiple-canister interface. Once the overpack loses its integrity, the waste glass starts to dissolve by porewater in the bentonite buffer. Bentonite is expected to have hydraulic conductivity more than three orders of magnitude less than that of the surrounding rocks. The migrating nuclide from the buffer region is transported in the near field granite host rock, then releases to the far field of the repository. A mass concentration calculation in the far field of the repository is also included in the model. The model is diffusion-advection model. The model is solved using wavelet Galerkin method (WGM). The model is devised to be fast and compact due to the compactly supported property of the Daubechies' wavelet. Since the scaling functions are compactly supported only a finite number of the connection coefficients are nonzero. The resultant matrix has block diagonal structure, which can be inverted easily. We tested our model for a try of canisters contains 200 canisters. The results show well agreements with the results obtained from the analytic solution with a proper selection of wavelet-dilation order pairs.

关键词： Radioisotopes

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Experimental analysis of non-rollbackable pseudo random number in optimistic parallel simulation

Experimental analysis of non-rollbackable pseudo random numb...

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2012 International Conference on Information Technology and software engineering, ITSE 2012

作者： Wang, Bing Deng, Bo Chen, Lili Xing, Fei Yao, Yiping Software Division Beijing Institute of Systems Engineering 100101 Beijing China School of Computer National University of Defense Technology 410073 Changsha China

ISBN: (纸本)9783642345210

Pseudo-Random Number Generator (PRNG) fulfills the need to generate random variables in discrete event simulation. Particularly, the quality of Pseudo-Random Numbers (PRNs) not only has great impact on the performance, but also directly impacts the correctness of the Parallel Discrete-Event Simulation (PDES). In this paper, experiments have been conducted to study the influence to the quality of random number sequences brought by optimistic parallel simulation. From the preliminary results, we have found out that the random number sequence generated by non-rollbackable PRNG in optimistic parallel simulation passed the uniformity test, but failed in the independence test. © 2013 Springer-Verlag.

关键词： Discrete event simulation

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POSTER: High Performance GPU Concurrent B+tree 27

POSTER: High Performance GPU Concurrent B+tree

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27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPoPP 2022

作者： Zhang, Weihua Zhao, Chuanlei Peng, Lu Lin, Yuzhe Zhang, Fengzhe Jiang, Jinhu Software School Fudan University Shanghai China Division of Electrical and Computer Engineering Louisiana State University Baton RougeLA United States

ISBN: (纸本)9781450392044

Concurrent B+trees have been widely used in many systems from file systems to databases. With the volume of data requests expanding exponentially, the systems are facing tremendous performance pressure. GPUs have shown their potential to accelerate the concurrent B+trees operations with their high volume of parallel computing resources and large memory bandwidth. In concurrent B+tree, the conflicts should be detected and resolved when multiple concurrent requests are traversing and operating on the tree. However, conflict detection and handling in concurrent B+tree complicates the request processing logic, increases the number of memory accesses and leads to execution path divergence. That leads to performance degradation and increased response time variance. We present a high performance GPU concurrent B+tree. To reduce the performance impact introduced by conflict detection, an optimization is proposed to detect and resolve key conflicts before concurrent requests are issued to the execution phase. Then another optimization is used to reduce structure conflicts and concurrent control overheads. Finally, an optimization is used to reduce structure conflicts and improve memory performance by exploiting the locality among requests. Evaluations on a TITAN V GPU show that our GPU concurrent B+tree is efficient with a throughput of 1.23 billion per second. Compared to a state-of-the-art GPU B+tree system, it can achieve 5.1X speedup and reduce the response time variance from 38% to 4%. © 2022 Owner/Author.

关键词： Graphics processing unit

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Deep Learning-Based Action Classification Using One-Shot Object Detection

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computers, Materials & Continua 2023年第8期76卷 1343-1359页

作者： Hyun Yoo Seo-El Lee Kyungyong Chung Contents Convergence Software Research Institute Kyonggi UniversitySuwon-si16227Korea Department of Public Safety Bigdata Kyonggi UniversitySuwon-si16227Korea Division of Computer Science and Engineering Kyonggi UniversitySuwon-si16227Korea

Deep learning-based action classification technology has been applied to various fields,such as social safety,medical services,and *** an action on a practical level requires tracking multiple human bodies in an image in real-time and simultaneously classifying their *** are various related studies on the real-time classification of actions in an ***,existing deep learning-based action classification models have prolonged response speeds,so there is a limit to real-time *** addition,it has low accuracy of action of each object ifmultiple objects appear in the ***,it needs to be improved since it has a memory overhead in processing image *** learning-based action classification using one-shot object detection is proposed to overcome the limitations of multiframe-based analysis *** proposed method uses a one-shot object detection model and a multi-object tracking algorithm to detect and track multiple objects in the ***,a deep learning-based pattern classification model is used to classify the body action of the object in the image by reducing the data for each object to an action *** to the existing studies,the constructed model shows higher accuracy of 74.95%,and in terms of speed,it offered better performance than the current studies at 0.234 s per *** proposed model makes it possible to classify some actions only through action vector learning without additional image learning because of the vector learning feature of the posterior neural ***,it is expected to contribute significantly to commercializing realistic streaming data analysis technologies,such as CCTV.

关键词： Human action classification artificial intelligence deep neural network pattern analysis video analysis

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Recognition and Diagnosis of Computed Tomography Images Using Reconstructive Techniques 10th

Recognition and Diagnosis of Computed Tomography Images Usin...

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10th International Conference on Frontier Computing, FC 2020

作者： Li, Pengzhi Li, Jianqiang Xie, Haihua Pei, Yan Feng, Hui School of Software Engineering Beijing University of Technology Beijing100124 China Computer Science Division University of Aizu Aizuwakamatsu965-8580 Japan

ISBN: (纸本)9789811601149

In this paper, we propose a diagnosis and classification method of colonography CT Images based on deep learning and image reconstruction, which is processed to increase the difference between pathological features and other healthy tissues and improve the accuracy of pathological images classification. It is difficult to accurately distinguish polyps features owing to the variability of appearances, fuzzy boundaries, heterogeneous densities, shapes and sizes of lesions. Some study results show that the ResNet network has a better performance than other methods and has broad application prospects in the identification of CT images. We used the improved ResNet network as the classification model. We completed the classification experiment on the colonography datasets. Through comparative experiments, we found gradient features play an important role in the classification of colonography CT images. More unexpectedly, for CT images of colonography, the classification effect of CT images with small information entropy is excellent. A new "RGB" image containing two channels of gradient features and one channel of LBP features is very effective for classification, which may be a new attempt. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Image reconstruction

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Designing perception modules to shape information for agents 1

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6th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2000

作者： Heinze, Clint Pearce, Adrian Sterling, Leon Goss, Simon Department of Software Engineering and Computer Science University of Melbourne Melbourne Australia Air Operations Division Defence Science and Technology Organisation Melbourne Australia

ISBN: (数字)9783540454083

ISBN: (纸本)3540425977

The difficulty associated with placing intelligent agents in environments is in part one of designing the means by which they sense their world. If the world is complex, or if the information available in the world is in an inappropriate form, then a mismatch between the information in the environment and the information required by the agent can exist. Practical means of dealing with this mismatch are available but designing the system requires careful modelling. By modelling perception as the module within the agent responsible for sensing and making sense of the environment several advantages are realised. The explicit representation of perception allows consideration of the issues, affords software engineering advantages with respect to the specification and design of systems and is compatible with many accepted definitions of agency. © Springer-Verlag Berlin Heidelberg 2001.

关键词： Intelligent agents

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Port-based multihomed mobile IPv6: Load-balancing in mobile ad hoc networks

Port-based multihomed mobile IPv6: Load-balancing in mobile ...

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32nd IEEE Conference on Local computer Networks, LCN 2007

作者： Brännström, Robert Åhlund, Christer Zaslavsky, Arkady Division of Mobile Networking and Computing Luleå University of Teohnology Skellefteå Sweden School of Computer Science and Software Engineering Monash University Melbourne Australia

ISBN: (纸本)0769530001

With today's heterogeneous access to the Internet, users will move between wired and wireless environments and between infrastructure mode and ad hoc mode of wireless communication. When a mobile node moves from an infrastructure connection and connects multihop to an Internet gateway, the performance will degrade and it may not be able to send all of its traffic via a single gateway. This highlights the need of load-balancing between Internet gateways, especially since the behavior of users today involves a multitude of parallel activities generating multiple flows. This paper proposes a solution that enables distribution of individual traffic flows via different Internet gateways instead of using one single gateway. The proposal includes extensions to Mobile IP in order to handle flow mobility bindings. The performance of the solution is verified by simulation studies. © 2007 IEEE.

关键词： Mobile ad hoc networks

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Conditional Generative Modeling for Amorphous Multi-Element Materials

arXiv

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arXiv 2025年

作者： Li, Honglin Liu, Chuhao Guo, Yongfeng Luo, Xiaoshan Chen, Yijie Liu, Guangsheng Li, Yu Wang, Ruoyu Wang, Zhenyu Wu, Jianzhuo Ma, Cheng Xie, Zhuohang Lv, Jian Ding, Yufei Zhang, Huabin Luo, Jian Zhong, Zhicheng Li, Mufan Wang, Yanchao Li, Wan-Lu Key Laboratory of Material Simulation Methods and Software Ministry of Education College of Physics Jilin University Changchun China Aiiso Yufeng Li Family Department of Chemical and Nano Engineering University of California La Jolla San DiegoCA United States Institute of Molecular Engineering Plus College of Chemistry Fuzhou University Fuzhou China College of Chemistry and Molecular Engineering Peking University Beijing China School of Physics Nankai University Tianjin China Institute of Modern Physics Fudan University Shanghai China Program in Materials Science and Engineering University of California La Jolla San DiegoCA United States School of Artificial Intelligence and Data Science University of Science and Technology of China Hefei230026 China Suzhou Institute for Advanced Research University of Science and Technology of China Suzhou215123 China International Center of Future Science Jilin University Changchun China Department of Computer Science and Engineering University of California La Jolla San DiegoCA United States Center for Renewable Energy and Storage Technologies Physical Science and Engineering Division King Abdullah University of Science and Technology Thuwal Saudi Arabia Suzhou Lab Suzhou215123 China

Amorphous multi-element materials offer unprecedented tunability in composition and properties, yet their rational design remains challenging due to the lack of predictive structure-property relationships and the vast configurational space. Traditional modeling struggles to capture the intricate short-range order that dictates their stability and functionality. We here introduce ApolloX, a pioneering predictive framework for amorphous multi-element materials, establishing a new paradigm by integrating physics-informed generative modeling with particle swarm optimization, using chemical short-range order as an explicit constraint. By systematically navigating the disordered energy landscape, ApolloX enables the targeted design of thermodynamically stable amorphous configurations. It accurately predicts atomic-scale arrangements, including composition-driven metal clustering and amorphization trends, which are well-validated by experiments, while also guiding synthesis by leveraging sluggish diffusion to control elemental distribution and disorder. The resulting structural evolution, governed by composition, directly impacts catalytic performance, leading to improved activity and stability with increasing amorphization. This predictive-experimental synergy transforms the discovery of amorphous materials, unlocking new frontiers in catalysis, energy storage, and functional disordered systems. Copyright © 2025, The Authors. All rights reserved.

关键词： Amorphization

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Classical approaches and new deep learning trends to assist in accurately and efficiently diagnosing ear disease from otoscopic images 11

Classical approaches and new deep learning trends to assist ...

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11th European Workshop on Visual Information Processing, EUVIP 2023

作者： Jobanputra, Dhruv Chetan Bennamoun, Mohammed Boussaid, Farid Xu, Lian Kuthubutheen, Jafri The University of Western Australia Computer Science and Software Engineering Perth Australia The University of Western Australia Electrical Electronic and Computer Engineering Perth Australia The University of Western Australia Division of Surgery Medical School Perth Australia

ISBN: (纸本)9798350342185

Rural communities in Australia have limited access to Ear, Nose and Throat (ENT) specialists, resulting in a lack of expertise to provide a diagnosis of complex and chronic ear diseases. This literature review examines previous attempts at creating a computer-aided tool to accurately diagnose ear disease and gaps in the literature. A systematic search was conducted to identify relevant papers and the latest best trends in technology. Four papers showed significant results in ear disease detection with deep learning models providing the best performance. Some studies using larger datasets consisting of endoscopic images obtained accuracies of over 90%. No adequate model was found that used otoscopic images with a sensitivity of over 90%. Endoscopic images provide better quality images, making it unclear how the models would perform on otoscopic images. Advanced techniques such as Transformers have not yet been tested in ear disease detection and could help improve model accuracy. © 2023 IEEE.

关键词： Image classification

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