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检索条件"任意字段=2020 Symposium on Algorithm Engineering and Experiments, ALENEX 2020"

共 203 条记录，以下是1-10 订阅

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2020 Proceedings of the symposium on algorithm engineering and experiments, alenex 2020

2020 Proceedings of the Symposium on Algorithm Engineering a...

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2020 symposium on algorithm engineering and experiments, alenex 2020

ISBN: (纸本)9781611976007

The proceedings contain 17 papers. The topics discussed include: computing optimal hypertree decompositions;constructing the wavelet tree and wavelet matrix in distributed memory;FixCon: a generic solver for fixed-cardinality subgraph problems;engineering kernelization for maximum cut;shared-memory branch-and-reduce for multiterminal cuts;group centrality maximization for large-scale graphs;approximating vertex cover using structural rounding;a multi-criteria approximation algorithm for influence maximization with probabilistic guarantees;and puzzling grid embeddings.

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engineering Optimal Parallel Task Scheduling

Engineering Optimal Parallel Task Scheduling

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2025 SIAM symposium on algorithm engineering and experiments, alenex 2025

作者： Akram, Matthew Maas, Nikolai Sanders, Peter Schreiber, Dominik Karlsruhe Institute of Technology Karlsruhe Germany

ISBN: (纸本)9798331311995

The NP-hard scheduling problem P||Cmax encompasses a set of tasks with known execution time which must be mapped to a set of identical machines such that the overall completion time is minimized. In this work, we improve existing techniques for optimal P||Cmax scheduling with a combination of new theoretical insights and careful practical engineering. Most importantly, we derive techniques to prune vast portions of the search space of branch-and-bound (BnB) approaches and propose improved upper and lower bounding techniques. Moreover, we present new benchmarks for P||Cmax, based on diverse applications, which can shed light on aspects that prior synthetic instances fail to capture. In extensive evaluations, we observe that our pruning reduces the number of explored nodes by 90× and running times by 12×. Compared to a state-of-the-art ILP-based approach, our approach is preferable for short running time limits and for instances with large makespans. Copyright © 2025 by SIAM.

关键词： Branch and bound method

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BKA optimization algorithm based on sine-cosine guidelines 4

BKA optimization algorithm based on sine-cosine guidelines

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4th International symposium on Computer Technology and Information Science, ISCTIS 2024

作者： Zhou, Yanqiu Wu, Xiao Liu, Yuxiang Jiang, Xinghe Jiangnan Institute of Mechanical and Electrical Design Guiyang China Guizhou University School of Mechanical Engineering Guiyang China Guizhou University State Key Laboratory of Public Big Data Guiyang China

ISBN: (纸本)9798350354560

In order to address the limitations of traditional BKA optimization algorithms in terms of stability, data processing capability, and computational speed, this study proposes a new and improved BKA algorithm that combines the sine-cosine criterion, i.e., SCBKA. This new algorithm significantly enhances its solution accuracy and convergence speed by integrating the sine-cosine oriented mechanism. We conducted systematic comparison experiments of the SCBKA algorithm with six recognized classical algorithms on the highest challenge dimension of the CEC 2020 benchmark test function, the 20th dimension. The experimental results clearly show that SCBKA not only obtains significant improvement in convergence and accuracy, but also demonstrates significant advantages in the stability of the algorithm. In addition, by applying the Friedman rank sum test, we further confirm the efficiency and reliability of the SCBKA algorithm. © 2024 IEEE.

关键词： Optimization algorithms

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Measurement of optical constants of nano-film based on ellipsometric data at visible wavelength 9

Measurement of optical constants of nano-film based on ellip...

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9th symposium on Novel Photoelectronic Detection Technology and Applications

作者： Yue, Chong Ding, YueQing Tao, Lei Zhou, Jin Chen, Xin Chongqing Academy of Metrology and Quality Inspection Chongqing401123 China College of Optoelectronic Engineering Chongqing University Chongqing400030 China

ISBN: (纸本)9781510664432

In order to obtain high precision optical constants at in the ellipsometry measurement process, an optimization algorithm for solving the complex refractive index of nano films at visible wavelength is proposed. To improve the convergence rate and the ability to escape from local optimum of original algorithm, an improved particle swarm optimization (IPSO) has been proposed to deal with and analyze the ellipsometry parameters, this method combines the evolutionary algebraic attenuation factor with the adaptive genetic algorithm. The algorithm is used to calculate the film parameters of silicon dioxide nano film thickness standard template with standard value of 100.4±0.3 nm in this paper. The results show that the relative error of the calculation results of the optical constants refractive index error is less than 0.1 at visible wavelength. At the same time, it is verified by experiments that the IPSO algorithm model can effectively optimize the number of iterations, and has the advantages of fast convergence speed and high measurement efficiency. © 2023 SPIE.

关键词： Refractive index

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Innovative Median Finding algorithm for Coherent Noise Removal in High Energy Physics experiments 16

Innovative Median Finding Algorithm for Coherent Noise Remov...

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16th IEEE Latin American symposium on Circuits and Systems, LASCAS 2025

作者： Guimaraes, Nicolas Aniya, Guilherme Sanches, Bruno Mandjavidze, Irakli Neyret, Damien Van Noije, Wilhelmus Department of Electronic Systems Engineering São Paulo Brazil Irfu Cea Gif-Sur-Yvette France

ISBN: (纸本)9798331522124

Several high energy physics experiments suffer from coherent noise affecting their readout electronics. To solve that, the highly successful SAMPA chip is gaining a new successor, the SALSA front-end readout ASIC, which is going to be used in the EIC experiment of the Brookhaven National Laboratory, United States. This new integrated circuit is going to have a common mode noise subtraction, a non-linear filter that is based on finding median values between the many channels of the chip. To guarantee peak efficiency in the filter implementation, this work focuses on the filter's core: the median finder. This part needs to have an efficient algorithm to be implemented in hardware, therefore this paper shows three approaches, two of which are original techniques for digital median finding. These three designs were implemented and verified in TSMC 65nm technology and lastly they were compared in terms of speed, area, power consumption and a preliminary evaluation of error tolerance. © 2025 IEEE.

关键词： Electron emission

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Online Conversation-Based Social engineering Detection Using Machine Learning 1

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13th National Technical symposium on Unmanned System Technology, NUSYS 2023

作者： Ulaganathan, Thurairaj A/L R. Moung, Ervin Gubin Farzamnia, Ali Yahya, Farashazillah Sze, Florence Sia Fui Hung, Lai Po Faculty of Computing and Informatics Universiti Malaysia Sabah Kota Kinabalu Malaysia Faculty of Engineering Universiti Malaysia Sabah Kota Kinabalu Malaysia School of Computing and Engineering University of Huddersfield Huddersfield United Kingdom

ISBN: (数字)9789819720279

ISBN: (纸本)9789819720262

Social engineering through online conversations can occur via phone calls, Skype, or Google Meet, among others. This paper presents a machine learning-based classifier for detecting scam conversations in various online formats, including live call conversations. However, selecting an appropriate dataset and the optimal vectorization technique for the algorithm remains challenging, and many fraudulent scams remain undetectable in online conversations. Consequently, six experiments were conducted to apply a machine learning classifier, resulting in 108 outcomes. All six experiments demonstrate that different classifiers possess unique strengths and weaknesses when applied to different scenarios. When compared to Doc2Vec, the vectorization techniques of Universal Sentence Encoder yield excellent results. Among various clustering methods, K-Means and the EM algorithm perform exceptionally well. The results reveal that Random Forest and CatBoost classifiers outperform others in terms of accuracy, precision, recall, and F1-score across all cases. These findings can contribute to enhancing the detection of scam attempts in live call conversations, thus helping protect individuals from falling victim to scams. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Adversarial machine learning

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Integration of Finite Memory Structure and Unbiased Weighted Frobenius Norm Estimation for Robust Localization of Mobile Robots with Control Input Uncertainty

Integration of Finite Memory Structure and Unbiased Weighted...

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2024 IEEE/SICE International symposium on System Integration, SII 2024

作者： Lee, Dong Kyu Pak, Jung Min Kim, Gyun Ha Ahn, Choon Ki School of Electrical Engineering Korea University Seoul13391 Korea Republic of Korea National University of Transportation Department of Ai with Transportation Uiwang16106 Korea Republic of

ISBN: (纸本)9798350312072

The performance of mobile robot localization is highly dependent on the accuracy of motion and measurement models. In real-world situations, the actual motion of a mobile robot may differ from the control input (command) due to slippage or skidding of wheels, which causes errors in the motion model and leads to degradation of localization accuracy. This study presents a new robust localization algorithm that integrates the finite memory structure with unbiased weighted Frobenius norm (UWFN) estimation for mobile robots with uncertain control inputs. The effect of uncertain control input was minimized by UWFN estimation, and the accumulation of errors in the measurement model was suppressed by the finite memory structure. The performance of the proposed algorithm was verified through experiments using an ultra-wideband-based wireless sensor network and a mobile robot. © 2024 IEEE.

关键词： Mobile robots

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A technical integration framework for human-like motion generation in symmetric dual arm picking of large objects

A technical integration framework for human-like motion gene...

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2025 IEEE/SICE International symposium on System Integration, SII 2025

作者： Baracca, Marco Morello, Luca Bianchi, Matteo University of Pisa Research Center E. Piaggio Department of Information Engineering Pisa Italy KU Leuven Department of Mechanical Engineering Ghent Belgium

ISBN: (纸本)9798331531614

Dual arm robot picking of large objects is a common task in industrial settings, which is often accomplished besides a human operator, as a part of a more complex execution pipeline. This not only requires the simultaneous control of multiple arms to achieve the desired motion of the object and the maintenance of the right amount of force to ensure a stable grasp, but it has also to guarantee a safe and trustworthy human-robot interaction. One way to achieve the latter requirements is to ensure the execution of human-like robot motions, which can be easily understood and predicted by humans. In this paper, we present a technical framework that upon a passivity-based adaptive force-impedance control for modular multi-manual object manipulation, integrating it with a vision-based system to increase the effectiveness and generalizability of the manipulative action, as well as with a human-like Cartesian motion planning algorithm, to enable dual arm picking of large objects. We tested our approach in experiments with real manipulators during different types of large objects picking. © 2025 IEEE.

关键词： Human robot interaction

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engineering Top-Down Weight-Balanced Trees

Engineering Top-Down Weight-Balanced Trees

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symposium on algorithm engineering and experiments (alenex)

作者： Barth, Lukas Wagner, Dorothea Karlsruhe Inst Technol Karlsruhe Germany

ISBN: (纸本)9781611976007

Weight-balanced trees are a popular form of self-balancing binary search trees. Their popularity is due to desirable guarantees, for example regarding the required work to balance annotated trees. While usual weight-balanced trees perform their balancing operations in a bottom-up fashion after a modification to the tree is completed, there exists a top-down variant which performs these balancing operations during descend. This variant has so far received only little attention. We provide an in-depth analysis and engineering of these top-down weight-balanced trees, demonstrating their superior performance. We also gaining insights into how the balancing parameters necessary for a weight-balanced tree should be chosen|with the surprising observation that it is often beneficial to choose parameters which are not feasible in the sense of the correctness proofs for the rebalancing algorithm.

关键词： Balancing

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Multi-Coflow Scheduling in Not-All-Stop Optical Circuit Switches for Data Center Networks 22

Multi-Coflow Scheduling in Not-All-Stop Optical Circuit Swit...

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22nd International symposium on Network Computing and Applications, NCA 2024

作者： Ren, Hongkun Shen, Hong Tian, Hui School of Computer Science and Engineering Sun Yat-sen University China School of Engineering and Technology Central Queensland University Australia School of Information and Communication Technology Griffith University Australia

ISBN: (纸本)9798331510183

To resolve the performance bottlenecks of power consumption and bandwidth shortage in data center networks (DCNs) using the traditional Electronic Packet Switching (EPS), Optical Circuit Switching (OCS) technology has gained extensive attention in recent years and showed great promises for the development of next-generation data centers capable of supporting escalating network traffic. In this context, coflow scheduling emerges as a pivotal technique for enhancing data transmission efficiency in DCNs. Nonetheless, the intrinsic constraints of OCS networks, such as port limitations and reconfiguration delays, introduce novel challenges to coflow scheduling. There are two optical path reconfiguration modes in OCS: All-Stop in which reconfiguration of a path will block the communications of all paths, and Not-All-Stop in which only the path under reconfiguration is blocked. Most of the existing studies focus on coflow scheduling in All-Stop mode, and little has been done for online scenarios in Not-All-Stop mode. This study delves into the online multi-coflow scheduling problem within DCNs supported by Not-All-Stop mode OCS, aiming to minimize the average Coflow Completion Time (CCT). We introduce an effective online algorithm comprising two main components: a coflow inter-scheduling priority strategy that takes full consideration of Not-All-Stop mode’s characteristics and network fairness, and a coflow intra-scheduling greedy algorithm (R-Greedy) that focuses on maximizing network resource utilization to determine the specific scheduling plans. The effectiveness of our algorithm is demonstrated through extensive simulation experiments. ©2024 IEEE.

关键词： Packet switching

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