Article
Computer Science, Information Systems
Baichuan Su, Bo Cheng, Junliang Chen
Summary: This paper proposes a GPU based High Definition Parallel Video Codec (GHPVC) to address the challenges of using video codec technology on mobile devices, including computing resource allocation, power consumption, and CPU utilization. By introducing the Frame Data Management model, Prediction Model Selector model, and a GPU based Parallel ME module, GHPVC achieves high efficiency and low energy consumption while conforming to the H.264 standard.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2023)
Article
Engineering, Electrical & Electronic
Xu Han, Xiaofei Pan, Shiqi Wang, Shanshe Wang, Wen Gao
Summary: This paper presents an improved hybrid CPU + GPU accelerated framework for AVS3 decoding, and provides a detailed description of its design and implementation. Experimental results show that the proposed decoder achieves high frame rates and performance in processing 4K and 8K videos.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
(2022)
Article
Computer Science, Artificial Intelligence
Avra Ghosh, Asfak Ali, Sangita Roy, Sheli Sinha Chaudhuri
Summary: This paper proposes a real-time video dehazing technique that uses a novel haze parameter called 'SATVAL' to process hazy scenes. By processing a few video frames, the method determines whether dehazing is needed, allowing for accurate real-time video dehazing.
JOURNAL OF REAL-TIME IMAGE PROCESSING
(2023)
Article
Environmental Sciences
Seungmin Lee, Dat Ngo, Bongsoon Kang
Summary: This paper highlights the significance of image dehazing technology in photography, computer vision, and remote sensing applications. It presents a non-deep learning autonomous image dehazing algorithm and a corresponding FPGA design for high-quality real-time vision systems. Extensive experiments are conducted to validate the efficacy of the proposed design across different aspects, and a method for synthesizing cloudy images is introduced to facilitate future aerial surveillance research.
Article
Computer Science, Information Systems
Jinyoung Lee, Jae-Ho Nah, Woonam Chung, Tae-Hyoung Lee, Woo-Chan Park
Summary: This paper proposes a multi-chip architecture for real-time ray tracing in dynamic scenes, achieving scalable performance improvement through frame division method. Experimental results show that the proposed architecture improves performance by an average of 2.83 times compared to a single-chip architecture.
Article
Computer Science, Information Systems
Hussain M. J. Almohri, Layne T. Watson, Homa Alemzadeh, Mohammad Almutawa
Summary: The study highlights the importance of reducing the time to compute new optimal reallocations of defense systems in network security, proposing a heuristic method that utilizes parallel processing for graph analysis. A prototype tool has been developed with a speedup of at least 20 over solving the original problem using a serial algorithm, showcasing insignificant difference in performance between the approximately optimal defense computed in parallel and the optimally computed defense in series. Speedups in the future are expected to come from parallel integer programming algorithms rather than graph partitioning.
Article
Acoustics
Konstantinos Gkanos, Finnur Pind, Hans Henrik Brandenborg Sorensen, Cheol-Ho Jeong
Summary: This paper presents and compares two high-performance computing implementation strategies for the image source method. One is designed for multi-core CPUs with reduced operations and memory usage, while the other is designed for GPUs by eliminating data dependency. Both implementations can simulate within real-time constraints up to a third reflection order in complex rooms, with GPUs generally faster.
Article
Computer Science, Information Systems
Iman Firmansyah, Yoshiki Yamaguchi
Summary: This paper proposes the implementation of a real-time FIR filter using FPGA and OpenCL, which allows for direct streaming of input signals. The limitation of OpenCL in accessing FPGA I/O pins is resolved through a novel design.
JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY
(2022)
Article
Computer Science, Artificial Intelligence
Arun Muraleedharan, Hiroyuki Okuda, Tatsuya Suzuki
Summary: This paper presents a successful implementation of randomized model predictive control (MPC) in autonomous driving and addresses several challenges in real-world applications, including sample generation technique and GPU acceleration. The experimental results demonstrate that this method outperforms traditional CPU-based implementation in terms of control performance and computational speed.
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES
(2022)
Article
Chemistry, Analytical
Yue Cao, Shuchen Guo, Shuai Jiang, Xuan Zhou, Xiaobei Wang, Yunhua Luo, Zhongjun Yu, Zhimin Zhang, Yunkai Deng
Summary: This study conducts an in-depth evaluation of imaging algorithms and software and hardware architectures for real-time image acquisition systems. It proposes a parallel processing architecture based on FPGA, which has significant advantages in processing time consumption and processing accuracy. The correctness of the processing results is verified through experiments, laying a foundation for the development of high-performance SAR systems for real-time imaging processing.
Article
Computer Science, Artificial Intelligence
Mickael Seznec, Nicolas Gac, Francois Orieux, Alvin Sashala Naik
Summary: This paper discusses the real-time determination of dense optical flow on embedded GPU platforms, specifically the Nvidia AGX Xavier. By analyzing and implementing the CLG optical flow method, along with optimization strategies such as using the Jacobi solver, the goal of efficiently processing optical flow within a limited power budget was achieved.
JOURNAL OF REAL-TIME IMAGE PROCESSING
(2022)
Article
Acoustics
Christopher Khan, Kazuyuki Dei, Siegfried Schlunk, Kathryn Ozgun, Brett Byram
Summary: The study introduces a GPU-based implementation of ADMIRE to significantly accelerate the algorithm and enable real-time imaging. By implementing on a single GPU, speedup was achieved compared to a serial CPU implementation, and further speedup was obtained by distributing computations across two GPUs. The GPU implementation was interfaced with the Verasonics Vantage 128 ultrasound research system for real-time imaging, demonstrating the simultaneous computation and display of various beamforming techniques.
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
(2021)
Article
Engineering, Civil
Nana Lyu, Jian Zhao, Pengbo Liu, Linhui Li, Yingjie He, Tianfa Su, Jianxi Wen
Summary: This paper proposes a novel vision-based scene-adaptive real-time dehazing method for continuous video frames. By importing scene adaptation and determining the positions of key points, the method effectively handles sudden scene changes and improves defogging accuracy and detection performance.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Yong Liu, Xiaorong Hou
Summary: In this paper, a local multi-scale feature aggregation network (LMFA-Net) is proposed for real-time dehazing. LMFA-Net can directly restore the haze-free image by learning the local mapping relationship between the clean value of a haze image at a certain point and its surrounding local region. LMFA-Net achieves fast and efficient dehazing with its lightweight model structure.
PATTERN RECOGNITION
(2023)
Article
Computer Science, Information Systems
Biao Hu, Zhengcai Cao, Mengchu Zhou
Summary: This article presents an energy-efficient scheduling algorithm to address the cost issue caused by energy consumption in cloud computing platforms. The algorithm optimizes the tradeoff between energy consumption and task execution time to meet real-time requirements.
IEEE TRANSACTIONS ON CLOUD COMPUTING
(2022)
Article
Energy & Fuels
Xingkang Jin, Wen Tan, Yarong Zou, Zijian Wang
Summary: A new control method is proposed in this paper to reduce the fatigue load and optimize the output power of wind turbines. By applying linear active disturbance rejection control and particle swarm optimization algorithm, a controller is successfully designed, and simulation results show that it can accurately track the reference power and improve the performance of wind turbines.
Article
Mechanics
Yu Suo, Xianheng Su, Zijian Wang, Wenyuan He, Xiaofei Fu, Fuping Feng, Zhejun Pan, Kun Xie, Guanzhong Wang
Summary: This study investigated the hydraulic fracturing of sandstone-shale interbedded reservoirs in the Songnan Region of China through rock mechanics experiments and numerical simulations. The effects of eight parameters on fracture propagation height and length were analyzed. The results provide guidance for the efficient development of sandstone-shale interbedded reservoir fracturing.
ENGINEERING FRACTURE MECHANICS
(2022)
Article
Engineering, Electrical & Electronic
Jingli Li, Hao Yuan, Mingming Xu, Fenglan Tian, Zijian Wang, Junyue Ren
Summary: This paper focuses on the establishment and application of arc models, and analyzes the influence of arc length on arc characteristics. By introducing dynamic arc length consideration into the improved Schwarz model, the accuracy of the model is improved, and its effectiveness is verified through comparison with other models.
JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY
(2023)
Article
Immunology
Guanghua Tang, Linyue Pan, Zhixiang Wang, Hua Zhu, Yong Yang, Zijian Wang, Hongqin Yue, Yuhua Shi, Dichen Wu, Zhilong Jiang, Danbin Jiang
Summary: CD46, CD55 and CD59 are highly expressed in many tumor tissues. Knockdown of mCRPs effectively reduces their expression and induces apoptotic cell death in colon cancer cells. Inhibition of STAT3/STAT6/p38 MAPK signaling also decreases mCRPs expression and promotes apoptosis in colon cancer cells.
INTERNATIONAL IMMUNOPHARMACOLOGY
(2023)
Article
Ornithology
Yingjun Wang, Gankhuyag Purev-Ochir, Amarkhuu Gungaa, Baasansuren Erdenechimeg, Oyunchimeg Terbish, Dashdorj Khurelbaatar, Zijian Wang, Chunrong Mi, Yumin Guo
Summary: The Great Bustard, the heaviest migratory bird, shows sex differences in migration patterns. Conservation measures are needed to protect the wintering sites and prevent collisions with powerlines.
JOURNAL OF ORNITHOLOGY
(2023)
Article
Economics
Hongdong Ma, Gang Li, Rongyue Liu, Kexin Zhang, Zijian Wang
Summary: This study addresses the mismatch problem between borrowers' credit scoring and the probability of default (PD) in credit loan decision-making practice. It proposes a credit scoring indicator system by selecting a single indicator with strong default identification ability using the Wald test and determining the optimal combination of indicators with overall default identification ability using Lasso-Logistic regression. The empirical work conducted on Lending Club samples confirms the effectiveness of the proposed credit scoring method. The findings of this study provide references for assisting credit loan decision-making, reducing investment risks for bankers, and alleviating financing problems for borrowers.
Article
Mechanics
Lu Jin, Yong Chen, Xu Tang, Jiguo Zhang, Zijian Wang
Summary: The design of tapered composite fan blades with increased thickness near the root helps carry the load, but also introduces material and geometric discontinuities that can lead to interlayer stresses and damage initiation. A study using high-fidelity finite element modeling and a constitutive equation found that the maximum damage index occurs at the ply interface and resin pocket of the laminates. Static damage and weak-link index assessment were proposed to predict the location of fatigue damage. The study also found that fatigue crack growth rates are sensitive to cyclic loading at the first natural frequency and the weak-link zone appears in the crack growth area.
COMPOSITE STRUCTURES
(2023)
Article
Engineering, Civil
Bin Zhang, Yuanfu Zhou, Xuefu Zhang, Zijian Wang, Wei Yang, Yixuan Ban
Summary: This study investigated the diffusion shape and the relation between diffusion radius and time of grouting in tunnel lining cracks. The diffusion equation of grouting in lining cracks was established, and the correlation between experimental and calculated values was analyzed. The results showed that the diffusion shape in tunnel lining cracks can be categorized into circular, excessive, and elliptical zones, and the diffusion equation accurately describes the relationship between diffusion radius and time. These findings provide a theoretical basis for predicting diffusion radius in grouting repair for tunnel lining cracks.
KSCE JOURNAL OF CIVIL ENGINEERING
(2023)
Article
Veterinary Sciences
Jie Wang, Xiaojie Zhu, Zijian Wang, Yingyu Chen, Ian D. Robertson, Aizhen Guo, Joshua W. Aleri
Summary: The prevalence and antimicrobial resistance of Salmonella and ESBL-producing E. coli in healthy lactating dairy cows in Hubei Province, China was investigated in this study. Salmonella was found in 5.2% of sampled cows, with a herd prevalence of 20.0%. ESBL E. coli was detected in all farms, with an animal level prevalence of 59.1% and more than 104 CFU/g of feces. These findings provide valuable information for controlling Salmonella in Hubei Province.
PREVENTIVE VETERINARY MEDICINE
(2023)
Article
Computer Science, Interdisciplinary Applications
Zijian Wang, Zixiang Cai, Yimin Wu
Summary: Tunnel construction sites pose safety risks due to low-light conditions. This study proposes an improved YOLOX approach and a new dataset for detecting low-light and small personal protective equipment (PPE). The improved YOLOX achieves higher accuracy and real-time processing speed, reducing safety incidents on tunnel construction sites.
JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING
(2023)
Article
Mathematics, Applied
Zijian Wang, Xinhui Shao
Summary: This article presents a new type of automated statement proof algorithm that is generalized, self-evolving, and efficient, using new data structures (brackets and map graphs) and algorithms. The brackets structure provides a concise representation of mathematical concepts, while the map graphs enable the computer to learn while proving using an efficient machine-learning method. Additionally, the algorithm is based entirely on category theory. Finally, a prototype of the program is introduced and its performance examined.
Article
Plant Sciences
Han Zhang, Yige Cao, Zijian Wang, Meixia Ye, Rongling Wu
Summary: Shade avoidance syndrome (SAS) is important for plants to increase light capture in dense stands, but the genetic basis of developmental variation in leaves related to leaf area, petiole length, and leaf length remains unresolved.
Article
Veterinary Sciences
Huitian Gou, Qihang Cao, Zijian Wang, Yuanyuan Liu, Yanan Sun, Huiling Wei, Chen Song, Changqing Tian, Yanquan Wei, Huiwen Xue
Summary: This study used transcriptomics to analyze differential gene expression between biofilm and planktonic bacteria at different stages of biofilm formation and growth in Listeria monocytogenes. They identified a significant number of differentially expressed genes and demonstrated changes associated with various biological processes and pathways. The expression of the top upregulated and downregulated genes was validated through real-time quantitative polymerase chain reaction. These findings lay the foundation for further research on biofilm formation mechanisms and the development of biofilm inhibitors to reduce LM infection risk.
CANADIAN JOURNAL OF VETERINARY RESEARCH-REVUE CANADIENNE DE RECHERCHE VETERINAIRE
(2023)
Article
Engineering, Electrical & Electronic
Guangya Zhu, Zhaogui Liu, Kai Zhou, Zijian Wang, Lu Lu, Yuan Li, Pengfei Meng
Summary: This article proposes a novel time-frequency domain conversion method for determining cable joints with severe dampness defects. By analyzing the time-domain waveform, the proposed method can effectively diagnose the condition of cable joints.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Chemistry, Multidisciplinary
Wei Wang, Zixin Wang, Mengqi Sun, Hui Zhang, Hui Wang
Summary: Research has shown that by precisely controlling the particle size of nano Pt catalysts, the pathway selection in chemical reactions can be influenced, and may trigger switching between different reaction pathways.
