Including Calorimeter Test Beams in Geant-val—The Physics Validation Testing Suite of Geant4 by Lorenzo Pezzotti, Andrey Kiryunin, Dmitri Konstantinov, Alberto Ribon, Pavol Strizenec, on behalf of the Geant4 Collaboration

“…It is required to remain a reliable and stable toolkit for detector simulations and at the same time undergo major improvements in both physics accuracy and computational performance. Calorimeter beam tests involve various particles at different energy scales and represent ideal benchmarks for the physics modeling and assessment of Monte Carlo tools for radiation–matter simulation. …”
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Evanescent coupling of nonlinear integrated cavities for all-optical reservoir computing by I K Boikov, D Brunner, A De Rossi

“…Different nonlinear effects inherent to such microcavities are studied for realizing an all-optical autonomous computing substrate based on the reservoir computing concept, and their contribution to computing performance is demonstrated. We provide an in-depth analysis of the impact of basic microcavity parameters on the computational metrics of the system, namely, the dimensionality and the consistency. …”
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RALSA: Design and Implementation by Plamen Vladkov Mirazchiyski

“…The central aspect of the paper is the utilization of code reuse practices to the achieve consistency, efficiency, and safety of the computations performed by the analysis functions of the package. …”
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Multiscale Entropy Analysis of Short Signals: The Robustness of Fuzzy Entropy-Based Variants Compared to Full-Length Long Signals by Airton Monte Serrat Borin, Anne Humeau-Heurtier, Luiz Eduardo Virgílio Silva, Luiz Otávio Murta

“…The traditional multiscale entropy algorithm with fuzzy counting (MFE) has similar accuracy to alternative algorithms with better computing performance. For the best accuracy, the findings suggest different fuzzy exponents according to the time series length.…”
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Using Chiplet Encapsulation Technology to Achieve Processing-in-Memory Functions by Wenchao Tian, Bin Li, Zhao Li, Hao Cui, Jing Shi, Yongkun Wang, Jingrong Zhao

“…However, the “storage wall” caused by the von Neumann architecture severely limits the computational performance of the system. To efficiently process such large amounts of data and break up the “storage wall”, it is necessary to develop processing-in-memory (PIM) technology. …”
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Study on Preprocessing Algorithm for Partition Reconnection of Unstructured-grid Based on Domestic Many-core Architecture by YE Yue-jin, LI Fang, CHEN De-xun, GUO Heng, CHEN Xin

“…How to efficiently solve the discrete-memory-accessing problem of unstructed-grid is one of the hot-spot issues in the field of parallel algorithms and application in scientific and engineering computing.The distributed block reconnection optimization algorithm,which is designed on the basis of domestic Sunway heterogeneous many-core architecture,can maintain high computing performance when solving the problem of unstructured sparsity in applications.After deeply analyzing the on-chip communication mechanism of the many-core architecture,an efficient message grouping strategy is designed to improve the bandwidth utilization of on-chip array on the slave core.At the same time,a barrier-free data distribution algorithm is combined to give full play to the network perfor-mance of the domestic heterogeneous many-core architecture.Through the establishment of perfor-mance models and experimental analysis,the average memory bandwidth of the proposed algorithm can reach more than 70% of the theoretical value under different memory access situations.Compared with the serial algorithm on the master core,it has an ave-rage of 10 times and a maximum of 45 times performance acceleration.At the same time,the universal applicability of the algorithm is proved by application tests in different fields.…”
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An Adaptive Rate Blocked Compressive Sensing Method for Video by Jianming Wang, Jianhua Chen

“…Thus, the proposed method is suitable for implementation in CS sampling devices with limited computational performance. Experiment results show that, compared with the actual values, the sparsity estimates and block classification results of the proposed method are accurate. …”
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Algorhythmic governance: Regulating the ‘heartbeat’ of a city using the Internet of Things by Claudio Coletta, Rob Kitchin

“…Our analysis reveals: (1) how smart city technologies computationally perform rhythmanalysis and undertake rhythm-making that intervenes in space-time processes; (2) distinct forms of algorhythmic governance, varying on the basis of adaptiveness, immediacy of action, and whether humans are in-, on-, or, off-the-loop; (3) and a number of factors that shape how algorhythmic governance works in practice.…”
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Lightweight, Secure, Similar-Document Retrieval over Encrypted Data by Mustafa A. Al Sibahee, Ayad I. Abdulsada, Zaid Ameen Abduljabbar, Junchao Ma, Vincent Omollo Nyangaresi, Samir M. Umran

“…To evaluate the computational performance of this method, this paper carries out several comparative assessments against other major approaches.…”
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EMSBench: Benchmark and Testbed for Reactive Real-Time Systems by Kluge, Florian, Rochange, Christine, Ungerer, Theo

“…They allow to evaluate computing performance, but do not reproduce the complexity and behaviour that is typical for such systems. …”
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Optimum State-of-Charge Operating Range for Frequency Regulation of Energy Storage Systems Using a Master–Slave Parallel Genetic Algorithm by Sung-Min Cho, Jae-Chul Kim, Sang-Yun Yun

“…A simulation program was implemented to evaluate the computational performance that determines the optimal SOC range. …”
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HyPedSim: A Multi-Level Crowd-Simulation Framework—Methodology, Calibration, and Validation by Huu-Tu Dang, Benoit Gaudou, Nicolas Verstaevel

“…The results demonstrate that the hybrid model has the capacity to effectively simulate pedestrians across varied density scenarios while optimising computational performance compared to other models.…”
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A fast and efficient numerical algorithm for image segmentation and denoising by Yuzi Jin, Soobin Kwak, Seokjun Ham, Junseok Kim

“…To show the notable efficiency and rapid computational performance of the proposed computational algorithm, we conduct a series of numerical experiments. …”
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Detection of Abnormal SIP Signaling Patterns: A Deep Learning Comparison by Diogo Pereira, Rodolfo Oliveira

“…Experimental results are presented to assess the solution in terms of SIP dialogs prediction, unknown SIP dialogs detection, and computational performance, demonstrating the usefulness of the proposed methodology to rapidly detect signaling-based attacks.…”
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Exact relaxation of complementary constraints for optimal bidding strategy for electric vehicle aggregators by Dapeng Chen, Zhaoxia Jing, Zhigang Li, Hedong Xu, Tianyao Ji

“…By removing the complementary constraints, the relaxation methods can effectively reduce the complexity of the model and improve the computational performance. The results of the case study demonstrate the exactness and efficiency of the proposed relaxation methods. …”
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Reliability‐constrained robust expansion planning of active distribution networks by Rafael S. Pinto, Clodomiro Unsihuay‐Vila, Fabricio H. Tabarro

“…The main contributions are the introduction of a novel reliability sensitivity matrix to improve computational performance and the representation of the hours of the day inside the expansion planning formulation. …”
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A high-resolution hydro power time-series model for energy systems analysis: Validated with Chinese hydro reservoirs by Hailiang Liu, Gorm Bruun Andresen, Tom Brown, Martin Greiner

“…Often limited by data availability or computational performance, a high resolution, globally applicable and validated hydro power time series model has not been available. …”
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A Method for Detecting Small Slow Targets on Sea Surface Based on FC-MCNN by Qing Sun, Jing Zhao, Chunling Xue, Xueting Yang

“…The results show that the proposed method has a higher detection probability and better computational performance than the traditional CNN detection methods.…”
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Reliability Index Calculation and Reserve Capacity Optimization Considering Multiple Uncertainties by YE Lun, OUYANG Xu, YAO Jiangang, YANG Shengjie, YIN Jungang

“…The calculations of reliability indexes, expected energy not served and expected energy curtailment, are simplified, and the inequality constraints related to these two indexes are reduced, which improves the computational performance of the model. The model optimizes the total expected cost considering multiple uncertainties. …”
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Improved Cross Entropy Method for Well-Being Evaluation of Composite Generation and Transmission Systems by Dongli Xu, Yuqi Wang, Fang Wang, Fan Chen

“…We contrast our method with the conventional MCS and CEM approaches, conducting a thorough examination of the computational performance of MCEM. This comprehensive comparative study unequivocally confirms the efficacy and progressive nature of the MCEM framework presented in this paper.…”
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