Article
Computer Science, Artificial Intelligence
Tong Zhang, Yuan Zong, Wenming Zheng, C. L. Philip Chen, Xiaopeng Hong, Chuangao Tang, Zhen Cui, Guoying Zhao
Summary: This paper discusses the challenges and importance of cross-database micro-expression recognition (CDMER) and contributes to this field by establishing an evaluation protocol, conducting benchmark experiments, and proposing a novel DA method.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2022)
Article
Computer Science, Artificial Intelligence
Thuong-Khanh Tran, Quang-Nhat Vo, Xiaopeng Hong, Xiaobai Li, Guoying Zhao
Summary: Micro-expressions (MEs) are brief and involuntary facial expressions that occur when people try to hide their true feelings or conceal their emotions. Research on MEs focuses on detecting and recognizing these expressions in videos, but a fully automatic system for ME analysis has yet to be developed.
Article
Computer Science, Hardware & Architecture
Hao Cao, Shaozhong Guo, Jiangwei Hao, Yuanyuan Xia, Jinchen Xu
Summary: This paper introduces a tool named SMPOT to optimize the Sunway Math Library (SML) using the concept of superblock scheduling. Experimental results show that SMPOT can effectively improve the performance of the SML.
JOURNAL OF SUPERCOMPUTING
(2022)
Article
Computer Science, Interdisciplinary Applications
Christopher B. Marsh, Kevin R. Green, B. Wang, Raymond J. Spiteri
Summary: The study applies lookup tables (LUTs) to replace computationally intensive mathematical function evaluations in distributed hydrological models, resulting in reduced computational costs and improved runtime efficiency, contributing to enhanced model accuracy.
ENVIRONMENTAL MODELLING & SOFTWARE
(2021)
Article
Engineering, Electrical & Electronic
Bin Zhao, Haukur Isfeld Ragnarsson, Magnus O. Ulfarsson, Gabriele Cavallaro, Jon Atli Benediktsson
Summary: This article proposes an approach to classify hyperspectral images using only metadata and demonstrates that it outperforms other methods in quantitative assessments.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2022)
Article
Biochemical Research Methods
Xiao Chen, Alex Morehead, Jian Liu, Jianlin Cheng
Summary: In this study, a new graph transformer was introduced to predict the quality of 3D protein complex structures. The method, called DProQA, incorporates node and edge gates within a graph transformer framework to control information flow. The method ranked 3rd among the single-model quality assessment methods in CASP15 in terms of the ranking loss of TM-score on 36 complex targets.
Article
Computer Science, Hardware & Architecture
Bastian Hagedorn, Johannes Lenfers, Thomas Koehler, Xueying Qin, Sergei Gorlatch, Michel Steuwer
Summary: This paper presents two functional languages, RISE and ELEVATE, which help optimize program efficiency on modern parallel hardware. RISE is used to express computations, while ELEVATE is used to describe optimization strategies. By using these languages, high-performance parallel code can be automatically generated, not limited to existing operations and optimizations.
COMMUNICATIONS OF THE ACM
(2022)
Article
Materials Science, Multidisciplinary
Boqing Zhang, Ling Wang, Ping Song, Xuan Pei, Huan Sun, Lina Wu, Changchun Zhou, Kefeng Wang, Yujiang Fan, Xingdong Zhang
Summary: This study successfully combined PLLH/nHA composite with FDM technology to prepare porous bone repair scaffolds. The scaffolds showed good printing smoothness and accuracy, suitable mechanical properties, and good osteogenic properties.
MATERIALS & DESIGN
(2021)
Article
Computer Science, Hardware & Architecture
Ziheng Wang, Xiaoshe Dong, Yan Kang, Heng Chen
Summary: In this study, we investigate the potential performance improvements in cryptographic hash functions through new parallelism techniques on the SW26010 processor, which is part of the Sunway TaihuLight supercomputer. We propose a parallel implementation, SW-SHA-256, for hashing multiple messages and explore parallel schemes at both the instruction and thread levels. Our results show that the proposed approach achieves significant speedup compared to the C code in OpenSSLv3.0.0 and has high scalability.
JOURNAL OF SUPERCOMPUTING
(2023)
Article
Construction & Building Technology
Hye Gi Kim, Da Woon Jeong, Soon Jung Kwon, Sun Sook Kim
Summary: This study aimed to develop a benchmark for building energy performance assessments in hospitals that considers business activities. The benchmark was developed through data collection, surveying, and multiple linear regression. The benchmark was validated through a survey of additional hospitals. Finally, a method to improve the benchmark was presented and compared with the existing model.
Article
Computer Science, Information Systems
Cong Yue, Meihui Zhang, Changhao Zhu, Gang Chen, Dumitrel Loghin, Beng Chin Ooi
Summary: In recent years, there has been increasing attention on data security in database systems. Immutable systems, such as blockchains, verifiable databases, and ledger databases, employ various verifiability mechanisms to protect data. However, there is currently no standardized benchmarking tool for evaluating the performance of these systems, especially in terms of verification functions. This paper presents VeriBench, a benchmark framework that enables a fair comparison and deep understanding of different verifiability-enabled database systems.
PROCEEDINGS OF THE VLDB ENDOWMENT
(2023)
Article
Meteorology & Atmospheric Sciences
Paul D. Williams, Jerry M. Straka, Katharine M. Kanak
Summary: The filtered leapfrog schemes are important in atmospheric and oceanic research, providing stability and higher accuracy. These modern schemes have shown good performance in benchmark experiments and are more advantageous than the third-order Runge-Kutta scheme.
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY
(2022)
Article
Construction & Building Technology
Xinmei Deng, Mengyuan Wang, Zhengyu Fan, Jiaping Liu
Summary: This study investigates the impact of key design variables on the daylight performance of deep open-plan reading spaces through dynamic daylight simulations and scaled-model measurements. The results reveal that window height and width coefficients, room height, and transmittance are the main influencing factors for daylight intensity and glare probability. The findings provide valuable insights for the effective daylight optimization of deep open-plan spaces in the early design phase.
JOURNAL OF BUILDING ENGINEERING
(2022)
Article
Business, Finance
K. J. Martijn Cremers, Jon A. Fulkerson, Timothy B. Riley
Summary: This article introduces a new approach to identify benchmark discrepancies in mutual funds and finds that funds with benchmark discrepancies tend to have higher risk than indicated by their prospectus benchmarks.
JOURNAL OF FINANCIAL AND QUANTITATIVE ANALYSIS
(2022)
Article
Thermodynamics
Di He, Yusong Yu, Chaojun Wang, Boshu He
Summary: This paper analyzes the optimal compression ratio for the maximum SCNW or maximum MEP in gas power cycles, focusing on the ideal Otto cycle and the ideal Miller-Diesel cycle. The results show that operating under the condition of maximum SCNW or maximum MEP is more reasonable and economic, despite not achieving the highest thermal efficiency.
CASE STUDIES IN THERMAL ENGINEERING
(2022)