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IEEE Transactions on Green Communications and Networking 2024年第2期9卷 1-1页

作者： Dai, Jun Li, Xinbin Han, Song Yu, Junzhi Liu, Zhixin Key Lab of Industrial Computer Control Engineering of Hebei Province China Department of Advanced Manufacturing and Robotics College of Engineering State Key Laboratory for Turbulence and Complex Systems Peking University Beijing China

This paper deals with a cooperation communication problem (relay selection and power control) for mobile underwater acoustic communication networks. To achieve satisfactory transmission capacity, we propose a reinforcement-learning-based cooperation communication scheme to efficiently resist the highly dynamic communication links and strongly unknown time-varying channel states caused by the mobility of Autonomous Underwater Vehicles (AUVs). Firstly, a particular Markov decision process is developed to model the dynamic relay selection process of mobile AUV in the unknown scenario. In the developed model, an experimental statistical-based partition mechanism is proposed to cope with the greatly increasing dimension of the state space caused by the mobility of AUV, reducing the search optimization difficulty. Secondly, a dual-thread reinforcement learning structure with actual and virtual learning threads is proposed to efficiently track the superior relay action. In the actual learning thread, the proposed improved probability greedy policy enables the AUV to strengthen the exploration for the reward information of potential superior relays on the current state. Meanwhile, in the virtual learning thread, the proposed upper-confidence-bound-index-based uncertainty estimation method can estimate the action-reward level of historical states. Consequently, the combination of actual and virtual learning threads can efficiently obtain satisfactory Q value information, thereby making superior relay decision-making in a short time. Thirdly, a power control mechanism is proposed to reuse the current observed action-reward information and transform the multiple unknown parameter nonlinear joint power optimization problem into a convex optimization problem, thereby enhancing network transmission capacity. Finally, simulation results verify the effectiveness of the proposed scheme. IEEE

关键词： Convex optimization

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Accelerating materials discovery using machine learning

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Journal of Materials Science & Technology 2021年第20期79卷 178-190页

作者： Yongfei Juan Yongbing Dai Yang Yang Jiao Zhang Shanghai Key Lab of Advanced High-temperature Materials and Precision Forming Shanghai Jiao Tong UniversityShanghai200240China Department of Computer Science and Engineering Shanghai Jiao Tong UniversityShanghai200240China

The discovery of new materials is one of the driving forces to promote the development of modern society and technology innovation,the traditional materials research mainly depended on the trial-and-error method,which is time-consuming and ***,machine learning(ML)methods have made great progress in the researches of materials science with the arrival of the big-data era,which gives a deep revolution in human society and advance science ***,there exist few systematic generalization and summaries about the applications of ML methods in materials *** this review,we first provide a brief account of the progress of researches on materials science with ML employed,the main ideas and basic procedures of this method are emphatically *** the algorithms of ML which were frequently used in the researches of materials science are classified and ***,the recent meaningful applications of ML in metal materials,battery materials,photovoltaic materials and metallic glass are reviewed.

关键词： Materials discovery Materials design Materials properties prediction Machine learning Data-driven

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Human detection using local shape and non-redundant binary patterns

Human detection using local shape and non-redundant binary p...

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11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010

作者： Nguyen, Duc Thanh Li, Wanqing Ogunbona, Philip Advanced Multimedia Research Lab. School of Computer Science and Software Engineering University of Wollongong Australia

ISBN: (纸本)9781424478132

Motivated by the advantages of using shape matching technique in detecting objects in various postures and viewpoints and the discriminative power of local patterns in object recognition, this paper proposes a human detection method combining both shape and appearance cues. In particular, local shapes of the body parts are detected using template matching. Based on body parts' shapes, local appearance features are extracted. We introduce a novel local binary pattern (LBP) descriptor, called Non-Redundant LBP (NRLBP), to encode local appearance of human. The proposed method was evaluated and compared with other state-of-the-art human detection methods on two commonly used datasets: MIT and INRIA pedestrian test sets. We also performed extensive experiments on selecting appropriate parameters as well as verifying the improvement of the proposed method through all stages of the framework. © 2010 IEEE.

关键词： Local binary pattern

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Compressive image super-resolution

Compressive image super-resolution

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43rd Asilomar Conference on Signals, Systems and computers

作者： Sen, Pradeep Darabi, Soheil Department of Electrical and Computer Engineering Advanced Graphics Lab University of New Mexico NM United States

ISBN: (纸本)9781424458271

This paper proposes a new algorithm to generate a super-resolution image from a single, low-resolution input without the use of a training data set. We do this by exploiting the fact that the image is highly compressible in the wavelet domain and leverage recent results of compressed sensing (CS) theory to make an accurate estimate of the original high-resolution image. Unfortunately, traditional CS approaches do not allow direct use of a wavelet compression basis because of the coherency between the point-samples from the downsampling process and the wavelet basis. To overcome this problem, we incorporate the downsampling low-pass filter into our measurement matrix, which decreases coherency between the bases. To invert the downsampling process, we use the appropriate inverse filter and solve for the high-resolution image using a greedy, matching-pursuit algorithm. The result is a simple and efficient algorithm that can generate high quality, high-resolution images without the use of training data. We present results that show the improved performance of our method over existing super-resolution approaches. © 2009 IEEE.

关键词： Compressed sensing

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Resource Volume Management for Shared File System in SAN Environment 16

Resource Volume Management for Shared File System in SAN Env...

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16th International Conference on Parallel and Distributed Computing Systems, PDCS 2003

作者： Lim, Seung-Ho Hwang, Joo Young Kim, Kyung Ho Lee, Jupyung Park, Kyu Ho Computer Engineering Research Lab EECS Korea Advanced Institute of Science and Technology Taejon Korea Republic of

ISBN: (纸本)9781618398161

In this paper, a volume management scheme that supports multi-host environments is designed and implemented. The proposed scheme provides various features for enterprise internet services such as online resizing, online migration and an enhanced configuration scheme considering workload access patterns and disk geometry. The SANfs is a shared file system in which multiple hosts can share multiple disks via a storage area network (SAN). SANfs is designed to provide high storage I/O performance and reliability to support the intemet web server, but various features of SANfs are limited by traditional storage management technology;therefore, a volume management scheme for SANfs is required. The designed volume manager in this paper, called SANfs-V M, can maximize the performance of SANfs and provide SANfs with high storage volume scalability and availability. It can provide SANfs with maximum system uptime and unlimited storage capacity using online resizing management. SANfs-VM can also provide the opportunity to use the disk characteristics and access pattems of system workloads by utilizing an enhanced configuration scheme. © PDCS 2003. All rights reserved.

关键词： Storage management

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A real-time disk scheduler for multimedia integrated server considering the disk internal scheduler

A real-time disk scheduler for multimedia integrated server ...

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International Parallel and Distributed Processing Symposium, IPDPS 2003

作者： Kim, Kyung Ho Hwang, Joo Young Lim, Seung Ho Cho, Joon Woo Park, Kyu Ho Computer Engineering Research Lab. EECS Korea Advanced Institute of Science and Technology Korea Republic of

ISBN: (纸本)0769519261

The SCSI or the fibre channel (FC) disk drive, called SCSI-FC disk drive has its own internal queue and internal scheduler which maximize its own throughput. The request service order scheduled by the block device drive in Linux is changed by the disk internal scheduler (DIS) and we call this reordering. The conventional real-time disk schedulers are based on Linux block device driver, and the deadlines of the real-time requests are not guaranteed by the reordering of the DIS. This paper proposes a real-time disk scheduling architecture on Linux which solves the reordering problem. It consists of the global scheduler and the local scheduler. The global scheduler selects the real-time requests, predicts their disk I/O times and determines the order based on the spatial locality. The local scheduler is the DIS controlled by the SCSI-FC device driver. The device driver notifies the DIS that the real-time requests with the earlier deadlines must be served before those with the later deadlines. The local scheduler feeds back the measured disk service time to the global scheduler when a requested disk service completes. We have implemented the proposed multimedia disk scheduler on Linux, and the experimental results show that the deadline misses of periodic requests can be reduced up to 19 times (94.7%) by the proposed method. © 2003 IEEE.

关键词： Linux

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Design of thrust ripple minimization in wound secondary linear synchronous motors by response surface methodology (RSM)

Design of thrust ripple minimization in wound secondary line...

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2011 2nd Power Electronics, Drive Systems and Technologies Conference, PEDSTC 2011

作者： Hosseini, Monir Sadat Khameneh, Mehdi Mardaneh Vaez-Zadeh, Sadegh Advanced Motion Systems Research Lab School of Electrical and Computer Engineering University of Tehran Tehran Iran

ISBN: (纸本)9781612844213

In this paper, after modeling and analyzing a single-sided wound secondary linear synchronous motor, single- and multi-objective design optimizations of the motor are carried out to develop larger average thrust and lower thrust ripple than the prototype by using design of experiments (DOE) and response surface methodology (RSM) considering multiple responses. By defining the motor weight as another objective function, it is tried to prevent an increase in motor size and reduce its material consumption. The optimization results confirm that desirable improvements in thrust mean, thrust ripple and motor weight are achieved. Finally, a finite element analysis is employed to evaluate the effectiveness of the employed machine models used in thrust and force ripple calculations and subsequently to confirm the proposed optimization method. © 2011 IEEE.

关键词： Optimization

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Smoke detection in videos using non-redundant local binary pattern-based features

Smoke detection in videos using non-redundant local binary p...

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3rd IEEE International Workshop on Multimedia Signal Processing, MMSP 2011

作者： Tian, Hongda Li, Wanqing Ogunbona, Philip Nguyen, Duc Thanh Zhan, Ce Advanced Multimedia Research Lab. School of Computer Science and Software Engineering University of Wollongong Australia

ISBN: (纸本)9781457714337

This paper presents a novel and low complexity method for real-time video-based smoke detection. As a local texture operator, Non-Redundant Local Binary Pattern (NRLBP) is more discriminative and robust to illumination changes in comparison with original Local Binary Pattern (LBP), thus is employed to encode the appearance information of smoke. Non-Redundant Local Motion Binary Pattern (NRLMBP), which is computed on the difference image of consecutive frames, is introduced to capture the motion information of smoke. Experimental results show that NRLBP outperforms the original LBP in the smoke detection task. Furthermore, the combination of NRLBP and NRLMBP, which can be considered as a spatial-temporal descriptor of smoke, can lead to remarkable improvement on detection performance. © 2011 IEEE.

关键词： Smoke

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i2SCSI: Intelligent iSCSI Disk Providing Cache Consistency in TCP/IP-based Storage Area Network 16

i2SCSI: Intelligent iSCSI Disk Providing Cache Consistency i...

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16th International Conference on Parallel and Distributed Computing Systems, PDCS 2003

作者： Lee, Jupyung Hwang, Joo Young Lim, Seung-Ho Park, Kyu Ho Computer Engineering Research Lab EECS Korea Advanced Institute of Science and Technology Taejon Korea Republic of

ISBN: (纸本)9781618398161

The internet SCSI(iSCSI)[6] disk has been studied as a storage system which can be directly connected to TCP/IP network. We designed and implemented a shared disk following the iSCSI protocol and providing cache consistency. It is named as intelligent iSCSI (i2SCSI) disk. The i2SCSI disk is developed to extend SANfs[2] over TCP/IP-based storage area network and solve the problem of managing a file lock in a centralized lock server by distributing lock manager over the disks. The i2SCSI disk provides cache consistency of all blocks that belong to the disk using a conventional cache consistency method. Due to the limitation of memory size inside disk, file-level locking is hard to implement in the i2SCSI disk. Instead, the i2SCSI disk uses 'contiguous blocks-level locking'. By doing so, memory utilization becomes smaller. A read lock is not required in the i2SCSI disk, which enhances read performance. The prototype of the i2SCSI disk and its client is designed and implemented in Linux 2.4. The experimental environment for the i2SCSI is set up on Linux cluster and performance of the i2SCSI disk is evaluated in the environment. Microbenchmark results show the effect of lock conflict on read/write latency and realistic workload test results show the effect of lock unit size on overall performance. © PDCS 2003. All rights reserved.

关键词： Locks (fasteners)

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Efficient Data Valuation Approximation in Federated Learning: A Sampling-based Approach

arXiv

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arXiv 2025年

作者： Wei, Shuyue Tong, Yongxin Zhou, Zimu He, Tianran Xu, Yi State Key Laboratory of Complex & Critical Software Environment Lab School of Computer Science and Engineering Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing Beihang University China City University of Hong Kong Hong Kong

Federated learning (FL) has emerged as a prominent distributed learning paradigm to utilize datasets across multiple data providers. In FL, cross-silo data providers often hesitate to share their high-quality dataset unless their data value can be fairly assessed. Shapley value (SV) has been advocated as the standard metric for data valuation in FL due to its desirable properties. However, the computational overhead of SV is prohibitive in practice, as it inherently requires training and evaluating an FL model across an exponential number of dataset combinations. Furthermore, existing solutions fail to achieve high accuracy and efficiency, making practical use of SV still out of reach, because they ignore choosing suitable computation scheme for approximation framework and overlook the property of utility function in FL. We first propose a unified stratified-sampling framework for two widely-used schemes. Then, we analyze and choose the more promising scheme under the FL linear regression assumption. After that, we identify a phenomenon termed key combinations, where only limited dataset combinations have a high-impact on final data value. Building on these insights, we propose a practical approximation algorithm, IPSS, which strategically selects high-impact dataset combinations rather than evaluating all possible combinations, thus substantially reducing time cost with minor approximation error. Furthermore, we conduct extensive evaluations on the FL benchmark datasets to demonstrate that our proposed algorithm outperforms a series of representative baselines in terms of efficiency and effectiveness. Copyright © 2025, The Authors. All rights reserved.

关键词： Federated learning

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