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AsT: An Asymmetric-Sensitive Transformer for Osteonecrosis of the Femoral Head Detection 37

AsT: An Asymmetric-Sensitive Transformer for Osteonecrosis o...

引用

37th AAAI Conference on Artificial Intelligence, AAAI 2023

作者： Chen, Haoyang Liu, Shuai Lu, Feng Li, Wei Sheng, Bin Li, Mi Jin, Hai Zomaya, Albert Y. National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology China Centre for Distributed and High Performance Computing School of Computer Science The University of Sydney Australia Department of Computer Science and Engineering Shanghai Jiao Tong University China Tongji Hospital Tongji Medical College Huazhong University of Science and Technology China

ISBN: (纸本)9781577358800

Early diagnosis of osteonecrosis of the femoral head (ONFH) can inhibit the progression and improve femoral head preservation. The radiograph difference between early ONFH and healthy ones is not apparent to the naked eye. It is also hard to produce a large dataset to train the classification model. In this paper, we propose Asymmetric-Sensitive Transformer (AsT) to capture the uneven development of the bilateral femoral head to enable robust ONFH detection. Our ONFH detection is realized using the self-attention mechanism to femoral head regions while conferring sensitivity to the uneven development by the attention-shared transformer. The real-world experiment studies show that AsT achieves the best performance of AUC 0.9313 in the early diagnosis of ONFH and can find out misdiagnosis cases firmly. Copyright © 2023, Association for the Advancement of Artificial Intelligence (***). All rights reserved.

关键词： Large dataset

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MISM: Modelica-Based Interactive Scheduling Mechanism for Virtual Educational Experiments

MISM: Modelica-Based Interactive Scheduling Mechanism for Vi...

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Chinagrid Annual Conference (Chinagrid)

作者： Wenbin Jiang Zhen Tang Hai Jin Chao Liu Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China

Different virtual educational experiments (VEEs) have different frameworks and implementations in different disciplines. How to integrate different VEEs into one unified supporting platform is a challenging problem. The key problem of this integration is how to build a unified mathematical model for VEEs of diversified disciplines. However, most existing multi-domain uniform modeling (MDUM) approaches such as Modelica are research-oriented and lack of real time interaction, which does not meet the requirement of virtual experiments that are user-oriented and highly interactive. To tackle above problem, a Modelica-based interactive scheduling mechanism (MISM) for VEE is proposed. In MISM, user-oriented interaction is based on a best step length algorithm and an interactive event step algorithm. The throughput is considered in the former and the real time interaction is resolved by the latter. Experimental results shows that the approaches presented can meet the requirements of VEEs efficiently.

关键词： Computational modeling Object oriented modeling Load modeling Adaptation model Data models Mathematical model Real time systems

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Two-Level Parallel Implementation of FDTD Algorithm on CBE

Two-Level Parallel Implementation of FDTD Algorithm on CBE

引用

IEEE International Conference on Networking, Sensing and Control

作者： Bo Li Hai Jin Zhiyuan Shao Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China

To understand and predict electromagnetic behavior is one of the most important electrical engineering technologies. FDTD is the key algorithm for solving this kind of problems, which provides a direct, time domain solution to Maxwell's equations in differential form with relatively good accuracy and flexibility. In this paper, we propose a novel hybrid parallelization model for FDTD method, which combines the domain distribution scheme and the single instruction multiple data (SIMD) parallelization. This model is able to exploit the computing potential of a new generation parallel machine named cell broadband engine (CBE). The experiment results show that the algorithm obtains approximately linearly speedup with respect to the number of SPEs and has excellent scalability.

关键词： Finite difference methods Time domain analysis Computer architecture clustering algorithms grid computing Concurrent computing Parallel processing Power system modeling Electrical engineering Maxwell equations

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SDPMN: Privacy Preserving MapReduce Network Using SDN

SDPMN: Privacy Preserving MapReduce Network Using SDN

引用

International Conference on Cloud computing and Big Data (CCBD)

作者： He Li Hai Jin Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9781479966226

MapReduce is a popular programming model and an associated implementation for parallel processing big data in the distributed environment. Since large scaled MapReduce data centers usually provide services to many users, it is an essential problem to preserve the privacy between different applications in the same network. In this paper, we propose SDPMN, a framework that using software defined network (SDN) to distinguish the network between each application, which is a manageable and scalable method. We design this framework based on the existing SDN structure and Hardtop networks. Since the rule space of each SDN device is limited, we also propose the rule placement optimization for this framework to maximize the hardware supported isolated application networks. We state this problem in a general MapReduce network and design a heuristic algorithm to find the solution. From the simulation based evaluation, with our algorithm, the given network can support more privacy preserving application networks with SDN switches.

关键词： Privacy Ports (Computers) Data privacy Network topology Virtualization IP networks Heuristic algorithms

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An Optimization Approach for QEMU

An Optimization Approach for QEMU

引用

International Conference on Information Science and Engineering (ICISE)

作者： Yabin Hu Hai Jin Zhibin Yu Hongyang Zheng Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9781424449095

Binary translation system usually maps guest registers into host registers to accelerate the translation speed. QEMU can be treated as a typical binary translator and it uses a fixed register allocation. On most hosts, QEMU simply maps all the target registers to memory and only store a few temporary variables in host registers. However, QEMU does not consider the dependence of two or more adjacent instructions. So even a guest register's value has been loaded into the temporary variables when executing the previous instruction, the next instruction could not use the value from the temporary variable directly, which is mapped into host register. The next instruction has to reload the value from memory again. This paper presents an approach to eliminate these unnecessary operations. Tests of benchmarks from nbench show that this approach can achieve 10%~20% speed improvement.

关键词： Registers Reduced instruction set computing Runtime Information science grid computing Computer science Acceleration Benchmark testing Microarchitecture Decoding

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Multiple-Access Channel Model for P2P Networks

Multiple-Access Channel Model for P2P Networks

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IEEE Asia-Pacific Conference on services computing (APSCC)

作者： Aobing Sun Hai Jin Ran Zheng Qin Zhang Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China

Peer-to-peer (P2P) technology encounters serious methodological limitations to guarantee the quality of services (QoS) of P2P networks with very few peers. In this paper, we propose multiple-access channel model (MACM) to merge different P2P networks as a whole to share their data-transfer capability. The model abstracts the interlaced data links between peers as logical data channels according to their spatial-temporal relations. The channels can be subdivided based on multiplex technology and serve different applications at same time. MACM redefines P2P data-packet structure and organizes data packets into time-related groups according to cascade-packet rule to support controllable data-projection between data pools of peers. MACM-based P2P networks can be created as virtual sub-network or virtual-peer bridging strategy so as to improve the performance of P2P networks with few peers but high priorities within Internet protocol television (IPTV) and wireless sensor network (WSN) applications.

关键词： IPTV Wireless sensor networks grid computing Peer to peer computing TV Computer networks Sun Radio access networks Computer science Quality of service

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A Novel clustering Algorithm for Mining Speech Data Using Baysian Network-Based Mutliple Model

A Novel Clustering Algorithm for Mining Speech Data Using Ba...

引用

Pacific-Asia Conference on Circuits, Communications and systems, PACCS

作者： Feng Zhao Delong Wu Pingpeng Yuan Hai Jin Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China

With the development of speech recognition, speech data mining becomes a hot topic in fields of data mining and natural language processing. In this paper, a novel clustering algorithm is presented to describe how to do semantic mining and how to understand the developing trend of event implied in speech sequence. At first, the speech sequences are extracted into a Bayesian network presenting the relationship between different speech elements. Then, we utilize a 3-dimensional space and sequence cluster techniques to excavate implied information from speech. Considering speech data features, we improve traditional distance-based clustering algorithm to get semantic information and enhance performance. The experimental results show that our algorithm is correct and effective.

关键词： clustering algorithms Data mining Speech analysis Speech processing Speech recognition Humans Natural language processing Speech enhancement Association rules Circuits

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XenHVMAcct: Accurate CPU Time Accounting for Hardware-Assisted Virtual Machine

XenHVMAcct: Accurate CPU Time Accounting for Hardware-Assist...

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IEEE International Conference on Parallel and Distributed computing, Applications and Technologies (PDCAT)

作者： Huacai Chen Hai Jin Kan Hu Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China

CPU time accounting is a basis of performance measurement and process scheduling in operating system. Accounting operations are traditionally completed in timer interrupt handler since timer interrupt is periodically delivered to OS. However, when virtualization introduced, the CPU time is shared by multiple virtual CPUs (i.e., VCPU for short) and the virtual timer interrupt is paused for those ones be scheduled out. This makes the time accounting be inaccurate, and we should consider new method for VM to provide a stable and reliable data source, especially for the hardware-assisted virtual machines (i.e., HVM for short) which are not aware of VMM. The key point of accurate CPU time accounting is to distinguish the time allocated to “this VCPU” and “other VCPUs”. Para-virtualization (i.e., PV for short) achieves this goal by modifying the timer handling routines. For HVM, we propose an accurate accounting method (named XenHVMAcct) within Xen virtual platform. XenHVMAcct is designed by using the mechanisms of virtual interrupt and loadable kernel module, without direct modifications to guest OS. Experimental results show that our accounting method is as accurate as the PV solution.

关键词： Kernel Linux Real time systems Measurement Program processors Virtual machining

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A Novel Virtual grid Experiment Method in MedImgrid

A Novel Virtual Grid Experiment Method in MedImGrid

引用

IEEE/IFIP International Conference on Embedded and Ubiquitous computing, EUC

作者： Ran Zheng Xiaofei Liao Hai Jin Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China

During the study of grid projects, a real grid environment or simulated grid is built up for development and experiment normally. But there are some disadvantages such as high cost, complex deployment and configuration, hard management, even conflict among people. A novel virtual grid experiment method with HAL (Hardware Abstraction Level) virtualization technology is presented, which can conquer the disadvantages above and has been used in MedImgrid for the development of medical grid applications. The experiment shows that the method is feasible with low cost, easy configuration and convenient management, so as to increase research efficiency and shorten developing cycle. Furthermore, it can be applied not only in MedImgrid but also in some other grid projects.

关键词： Biomedical imaging Medical diagnostic imaging grid computing Costs Application software Testing Computational modeling Hardware Application virtualization Medical services

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Multi-Source Traffic Data Fusion Method Based on Regulation and Reliability

Multi-Source Traffic Data Fusion Method Based on Regulation ...

引用

International Symposium on Parallel and Distributed Processing with Applications, ISPA

作者： Xinhong Wu Hai Jin Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China

This paper provides a new data fusion mechanism based on regulation and reliability to solve the data conflict problems of multi-source heterogeneous data fusion in traffic information engineering. This mechanism evaluates each data source on historical reliability and data source QoS (Quality of Service), and then gives its reliability result. Userspsila reliability on the data source is calculated and dynamically adjusted, then new reliability data of the data source is given, finally the conflict data is fused. The validation of experiment result indicates that the method enhances accuracy and adoption ratio of the collected data in real time greatly.

关键词： Quality of service Paper technology Data engineering Reliability engineering Distributed processing Application software grid computing Computer science Data analysis Delay

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