Energy-efficient strategy for data migration and merging in Storm by Yonglin PU, Jiong YU, Liang LU, Ziyang LI, Chen BIAN, Bin LIAO

“…Storm is suffering the problems of high energy consumption but low efficiency.Aiming at this problem,the resource constraint model,the optimal principle of data reorganization in executors and node voltage reduction principle were proposed based on the analysis of the architecture and topology of Storm,and further the energy-efficient strategy for data migration and merging was put forward in Storm(DMM-Storm),which was composed of resource constraint algorithm,data migration and merging algorithm as well as node voltage reduction algorithm.The resource constraint algorithm estimates whether work nodes are appropriate for data migration according to the resource constraint model.The data migration and merging algorithm designs an optimal method to migrate data according to the the optimal principle of data reorganization in executors.The node voltage reduction algorithm reduces voltage of work nodes according to node voltage reduction principle.The experimental results show that the DMM-Storm can reduce energy consumption efficiently without affecting the performance of cluster compared with the existing researches.…”
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Acceptance of a computer vision facilitated protocol to measure adherence to face mask use: a single-site, observational cohort study among hospital staff by Giovanni Traverso, Adam B Landman, Peter R Chai, Hen-Wei Huang, Jack Chen, Farah Dadabhoy, Phillip Rupp, Clint Vaz, Anjali Sinha, Claas Ehmke, Akhil Thomas, Jia Y Liang, George Player, Kevin Slattery

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Early Detection of Slight Bruises in Yellow Peaches (<i>Amygdalus persica</i>) Using Multispectral Structured-Illumination Reflectance Imaging and an Improved Ostu Method by Jian Wu, Chenlin Liu, Aiguo Ouyang, Bin Li, Nan Chen, Jing Wang, Yande Liu

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Vegetation growth monitoring based on ground-based visible light images from different views by Yanli Chen, Lu Huang, Cheng Chen, Ying Xie

“…In this study, with the underlying surface mixed with karst bare rock and vegetation as the research object, the far-view images and near-view images of 4 eco-meteorological stations were used to compare the segmentation effect of machine learning segmentation algorithm on images from far and near views, analyze the vegetation growth characteristics of visible images from far and near views, and investigate the differences between multi-view images and satellite remote sensing monitoring. …”
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Measuring Online Battery AC Resistance Using a DC-DC Converter With Time and Frequency Hybrid Method by Seong-Jong Kim, Hwa-Pyeong Park, Tae-Hwan Jin, In-Jun Lee

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A Comparative Study of Machine Learning Based Classifications on Lung Cancer Detection by A. Rakesh, Radhamani Ellapparaj

“…The novelty of this research lies in the extensive experimental work, which demonstrates the superiority of the selected algorithm for lung cancer data classification. …”
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Land Use Patch Generalization Based on Semantic Priority by Jun Yang, Fanqiang Kong, Jianchao Xi, Quansheng Ge, Xueming Li, Peng Xie

“…Here, we discuss the model and algorithm process in detail and provide experimental results of the actual data.…”
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Entropy Detection Technique in Frequency Domain for Soil Cavity and Water Content by LI Hao, YU Hong, ZHANG Zhiqiang, ZHANG Guifeng, XU Dingjie

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STAR-RIS enabled covert integration of sensing communication and over-the-air computing with analysis and optimization by Miao Zhang, Chao Wang, Tianyu Ren, Jing Li

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A survey of deep reinforcement learning technologies for intelligent air combat by LI Ni, LIAN Yunxiao, ZHOU Pan, XIE Feng, TANG Zhili, ZHOU Haoran, CHEN Jun

“…Major aviation nations and related research institutions are focusing on exploration and research of key technologies for intelligent air combat. …”
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Polarimetric Channel Imbalance Evaluation of GF-3 SAR Products by Bragg-Like Targets by Hanglan Guo, Xingjie Zhao, Xiuqing Liu, Weidong Yu

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Energy Storage Impact on CO₂ Emissions Reduction in an Islanded Microgrid by Nicola Panzavecchia, Giuseppe Caravello, Antonio Cataliotti, Valentina Cosentino, Giovanni Tine, Dario Di Cara

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Transmission scheme for collaborative‐RIS‐aided NOMA system with multiple channels by Heyi Li, Hong Wang, Peiqi Li, Peiyu Wang

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Multi-objective optimization of design parameters for tractor hydro-mechanical continuously variable transmissions by Zhen Zhu, Rui Hou, Hongwei Zhang, Dehai Wang, Long Chen

“…In this paper, an independently designed hydro-mechanical CVT transmission is taken as the research object, and the transmission design parameters are optimized based on the tractor’s whole life-cycle speed usage rate, and the Multi-Objective Genetic Algorithm(MOGA) is used for optimization and solution. …”
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Automated Global Method to Detect Rapid and Future Urban Areas by Heather S. Sussman, Sarah J. Becker

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YOLO-Based Real-Time Detection of Power Line Poles from Unmanned Aerial Vehicle Inspection Vision by Jingdong GUO, Bin CHEN, Renshu WANG, Jiayu WANG, Linlin ZHONG

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A New Method for Identifying Key and Common Themes Based on Text Mining: An Example in the Field of Urban Expansion by Yanwei Zhang, Xinhai Lu, Chaoran Lin, Feng Wu, Jinqiu Li

“…Urban land use is a core area of multidisciplinary research that involves geography, land science, and urban planning. …”
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A contrast enhanced representation normalization approach to knowledge distillation by Zhiqiang Bao, Di Zhu, Leying Du, Yang Li

“…The experimental results demonstrate that the Contrast Enhanced Representation Normalization Distillation algorithm outperforms the Contrastive Representation Distillation algorithm on the CIFAR100 and ImageNet datasets, and shows remarkable performance compared with other state-of-the-art knowledge distillation methods.This not only enables the deployment of models on resource-constrained devices, but also demonstrates extensive potential application values in tasks such as image segmentation, providing strong support for related research and practical applications.…”
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Subgrouping autism and ADHD based on structural MRI population modelling centiles by Clara Pecci-Terroba, Meng-Chuan Lai, Michael V. Lombardo, Bhismadev Chakrabarti, Amber N. V. Ruigrok, John Suckling, Evdokia Anagnostou, Jason P. Lerch, Margot J. Taylor, Rob Nicolson, Stelios Georgiades, Jennifer Crosbie, Russell Schachar, Elizabeth Kelley, Jessica Jones, Paul D. Arnold, Jakob Seidlitz, Aaron F. Alexander-Bloch, Edward T. Bullmore, Simon Baron-Cohen, Saashi A. Bedford, Richard A. I. Bethlehem

“…We use HYDRA, a novel semi-supervised machine learning algorithm which clusters based on differences to controls and compare its performance to a traditional clustering approach. …”
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Bitcoin price direction prediction using on-chain data and feature selection by Ritwik Dubey, David Enke

“…A comparative analysis of feature selection, learning model performance, and trading strategy performance is also conducted. Results from the research show that the Boruta feature selection algorithm combined with the CNN-LSTM model performs best compared to other combinations with a prediction accuracy of 82.03 % over the testing period. …”
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