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Neural network based approach for time to crash prediction to cope with software aging

Journal of Systems engineering and Electronics 2015年第2期26卷 407-414页

作者： Moona Yakhchi Javier Alonso Mahdi Fazeli Amir Akhavan Bitaraf Ahmad Patooghy School of Computer Science Institute for Research in Fundamental Sciences (IPM) Institute of Advanced Studies on Cybersecurity University of Leon Department of Computer Engineering Iran University of Technology

Recent studies have shown that software is one of the main reasons for computer systems unavailability. A growing ac- cumulation of software errors with time causes a phenomenon called software aging. This phenomenon can result in system per- formance degradation and eventually system hang/crash. To cope with software aging, software rejuvenation has been proposed. Software rejuvenation is a proactive technique which leads to re- moving the accumulated software errors by stopping the system, cleaning up its internal state, and resuming its normal operation. One of the main challenges of software rejuvenation is accurately predicting the time to crash due to aging factors such as me- mory leaks. In this paper, different machine learning techniques are compared to accurately predict the software time to crash un- der different aging scenarios. Finally, by comparing the accuracy of different techniques, it can be concluded that the multilayer per- ceptron neural network has the highest prediction accuracy among all techniques studied.

关键词： software reliability software rejuvenation machine learning

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Fast reconstruction and optical-sectioning three-dimensional structured illumination microscopy (vol 6, 100757, 2025)

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INNOVATION 2025年第2期6卷 100757页

作者： Cao, Ruijie Li, Yaning Wang, Wenyi Fu, Yunzhe Bu, Xiaoyu Saimi, Dilizhatai Sun, Jing Ge, Xichuan Jiang, Shan Pei, Yuru Gao, Baoxiang Chen, Zhixing Li, Meiqi Xi, Peng Department of Biomedical Engineering College of Future Technology Peking University Beijing 100871 China National Biomedical Imaging Center College of Future Technology Peking University Beijing 100871 China China Academy of Space Technology Beijing Institute of Space Mechanics and Electricity Beijing 100094 China Airy Technologies Co. Ltd. Beijing 100081 China Key Laboratory of Analytical Science and Technology of Hebei Province College of Chemistry and Materials Science Hebei University Baoding 071002 China College of Future Technology Institute of Molecular Medicine National Biomedical Imaging Center Beijing Key Laboratory of Cardiometabolic Molecular Medicine Peking University Beijing 100871 China Institute of Biomedical Engineering Beijing Institute of Collaborative Innovation Beijing China Key Laboratory of Machine Perception (MOE) Department of Machine Intelligence Peking University Beijing 100871 China Peking-Tsinghua Center for Life Science Academy for Advanced Interdisciplinary Studies Peking University Beijing 100871 China School of Life Sciences Peking University Beijing 100871 China

Three-dimensional structured illumination microscopy (3DSIM) is a popular method for observing subcellular/cellular structures or animal/plant tissues with gentle phototoxicity and 3D super-resolution. However, its time-consuming reconstruction process poses challenges for high-throughput imaging and real-time observation. Moreover, traditional 3DSIM typically requires more than six z layers for successful reconstruction and is susceptible to defocused backgrounds. This poses a great gap between single-layer 2DSIM and 6-layer 3DSIM, and limits the observation of thicker samples. To address these limitations, we developed FO-3DSIM, a novel method that integrates spatial-domain reconstruction with optical-sectioning SIM. FO-3DSIM enhances reconstruction speed by up to 855.7 times with superior performance with limited z layers and under high defocused backgrounds. It retains the high-fidelity, low-photon reconstruction capabilities of our previously proposed Open-3DSIM. Utilizing fast reconstruction and optical sectioning, we achieved large field-of-view (FOV) 3D super-resolution imaging of mouse kidney actin, covering a region of 0.453 mm × 0.453 mm × 2.75 μm within 23 min of acquisition and 13 min of reconstruction. Near real-time performance was demonstrated in live actin imaging with FO-3DSIM. Our approach reduces photodamage through limited z layer reconstruction, allowing the observation of ER tubes with just three layers. We anticipate that FO-3DSIM will pave the way for near real-time, large FOV 6D imaging, encompassing xyz super-resolution, multi-color, long-term, and polarization imaging with less photodamage, removed defocused backgrounds, and reduced reconstruction time.

关键词： three-dimensional structure illumination optical sectioning reconstruction speed large field of view imaging real-time observation

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ortho-C─H Alkylation of Aryl Chlorides by a Catellani Strategy

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Angewandte Chemie - International Edition 2025年 e202509300页

作者： Wang, Jian-Shu Liu, Zequan Qian, Guangyin Chen, Xiahe Cao, Liming Yu, Tiaozhen Ye, Jinxiang Ma, Yuanyuan Chen, Shuqing Yang, Zuo Cheng, Hong-Gang Yang, Yun-Fang Zhou, Qianghui Department of Laboratory Medicine Zhongnan Hospital of Wuhan University Engineering Research Center of Organosilicon Compounds & Materials (Ministry of Education) Hubei Key Lab on Organic and Polymeric OptoElectronic Materials College of Chemistry and Molecular Sciences The Institute for Advanced Studies and TaiKang Center for Life and Medical Sciences Wuhan University Wuhan 430072 China College of Chemical Engineering Zhejiang University of Technology Hangzhou 310014 China

Herein we report a general and practical palladium/norbornene catalysis system that effectively promotes difunctionalization of less reactive aryl chlorides. The key to success lies in the use of a particular norbornene (NBE) derivative as a powerful mediator that synergistically cooperates with the palladium catalyst and an electron-rich phosphine ligand. A broad spectrum of electronically diverse aryl chlorides (57 examples) delivered the corresponding ortho-C─H alkylation/ipso-olefination products in moderate to good yields. Notably, this protocol features excellent functional-group tolerance, high concentration, scalability, and late-stage functionalization of complex aryl chlorides. Furthermore, by integrating this chemistry with its counterparts involving aryl iodides and bromides, an intriguing triple-Catellani reaction sequence was developed, rapidly increasing molecular complexity and diversity. Finally, DFT calculations were performed, revealing that noncovalent C─H⋯O interactions between the XPhos ligand and the NBE mediator promote the pivotal NBE insertion step. © 2025 Wiley-VCH GmbH.

关键词： Aryl chlorides Catellani reaction Cooperative catalysis C─H alkylation Norbornenes

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High-energy 3-μm Er:YAG and Er,Cr:YSGG lasers Q-switched with semiconductor saturable absorbers

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Optics Communications 2025年 586卷

作者： Wu, Weibo Wang, Yuchen Zhou, Tiantian Yang, Lingling Jiang, Yiguang Yu, Ting Li, Wenlong Tang, Pinghua Zhao, Chujun Li, Xiao Zhang, Long School of Physics and Optoelectronics Xiangtan University Hunan411105 China Shanghai Institute of Optics and Fine Mechanics Chinese Academy of Sciences Shanghai201800 China Key Laboratory for Micro-/Nano-Optoelectronic Devices of Ministry of Education School of Physics and Electronics Hunan University Changsha410082 China School of Intelligent Engineering and Intelligent Manufacturing Hunan University of Technology and Business Changsha410205 China DIEN TECH LTD. Chengdu610213 China College of Advanced Interdisciplinary Studies National University of Defense Technology Changsha410073 China

We report a comparative investigation of the free-running operation and the passive Q-switching operation of Er:YAG and Er,Cr:YSGG lasers pumped by xenon flashlamps. In the free-running regime, the Er:YAG laser achieved an output pulse energy up to 0.86 J, resulting in a maximum average power of 14.92 W, while the Er,Cr:YSGG laser achieved a maximum output pulse energy of 1.49 J, with a maximum average power of 20.65 W. The Q-switching of Er:YAG and Er,Cr:YSGG lasers is achieved using a semiconductor saturable absorber mirror (SESAM) for the first time, to the best of our knowledge, with output pulse energies of 0.28 mJ and 0.12 mJ and pulse widths of 1.13 μs and 0.83 μs, respectively. The SESAM Q-switched 3-μm solid-state lasers shall contribute to the development of compact and robust high-energy mid-infrared pulsed laser sources for medical and industrial applications. © 2025 Elsevier B.V.

关键词： Semiconductor saturable absorber mirrors

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Sustainability Nexus AID: soil health

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Sustainability Nexus Forum 2025年第1期33卷 1-7页

作者： Shokri, Nima Aminzadeh, Milad Flury, Markus Jin, Yan Matin, Mir A. Panagos, Panos Razavi, Bahar S. Robinson, David A. Smith, Pete Todd-Brown, Katherine Toth, Gergely Zarei, Azin Madani, Kaveh Institute of Geo-hydroinformatics Hamburg University of Technology Hamburg Germany United Nations University Hub on Engineering to Face Climate Change at the Hamburg University of Technology United Nations University Institute for Water Environment and Health (UNU-INWEH) Hamburg Germany Department of Crop and Soil Sciences Washington State University Puyallup USA Department of Crop and Soil Sciences Washington State University Pullman USA Department of Plant and Soil Sciences University of Delaware Newark USA United Nations University Institute for Water Environment and Health (UNU-INWEH) Richmond Hill Canada European Commission Joint Research Centre (JRC) Ispra Italy Department of Soil-Plant-Microbiome Institute of Phytopathology University of Kiel Kiel Germany UK Centre for Ecology & Hydrology Bangor UK Institute of Biological and Environmental Sciences University of Aberdeen Aberdeen UK Department of Environmental Engineering Engineering School of Sustainable Infrastructure & Environment University of Florida Gainesville USA Institute of Advanced Studies Kőszeg Hungary Institute for Soil Sciences Centre for Agricultural Research Hungarian Research Network Budapest Hungary United Nations University Institute for Integrated Management of Material Fluxes and of Resources (UNU-FLORES) Dresden Germany

The Sustainability Nexus Analytics, Informatics, and Data (AID) Programme of the United Nations University (UNU), aims to provide information, data, computational, and analytical tools to support the sustainable management and long-term security of natural resources using a nexus approach. This paper introduces the Soil Health Module of the Sustainability Nexus AID Programme. Healthy soil is crucial for life on Earth, and it is essential for ecosystem services and functioning, access to clean water, socioeconomic structure, biodiversity, and food security for the growing population of the world. Healthy soils contribute to mitigating the effects of climate change and reduce the consequences of extreme events such as flooding and drought. Healthy soils influence the hydrologic cycle by regulating transpiration, water infiltration, and soil water evaporation affecting land–atmosphere interactions. The Soil Health Module of the UNU Sustainability Nexus AID Programme aims to evolve into the ultimate focal point, supporting a diverse array of stakeholders with state-of-the-art data and tools that are essential for soil health monitoring and projection. This paper discusses the importance of adopting a nexus approach for ensuring soil health, explores the AID tools currently at our disposal for quantifying and predicting soil health, and concludes with recommendations for future effort and direction within the Sustainability Nexus AID Programme concerning soil health.

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An efficient binary salp swarm algorithm for user selection in multiuser MIMO antenna systems

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Scientific Reports 2025年第1期15卷 1-17页

作者： Sasikumar, A. Ravi, Logesh Devarajan, Malathi Almazyad, Abdulaziz S. De, Shuvodeep Xiong, Guojiang Mousavirad, Seyed Jalaleddin Mohamed, Ali Wagdy Department of Data Science and Business Systems Faculty of Engineering and Technology SRM Institute of Science and Technology Tamil Nadu Kattankulathur 603203 India Centre for Advanced Data Science Tamil Nadu Chennai 600127 India School of Electronics Engineering Vellore Institute of Technology Tamil Nadu Chennai 600127 India School of Computer Science and Engineering Vellore Institute of Technology Chennai 600127 India Department of Computer Engineering College of Computer and Information Sciences King Saud University Riyadh 11543 Saudi Arabia Virginia Tech Blacksburg United States Guizhou Key Laboratory of Intelligent Technology in Power System College of Electrical Engineering Guizhou University Guiyang 550025 China Department of Computer and Electrical Engineering Mid Sweden University Sundsvall Sweden Operations Research Department Faculty of Graduate Studies for Statistical Research Cairo University Giza 12613 Egypt Applied Science Research Center Applied Science Private University Amman 11931 Jordan Centre for Research Impact and Outcome Chitkara University Institute of Engineering and Technology Chitkara University Punjab Rajpura 140401 India

The past ten years have seen notable research activity and significant advancements in multiuser multiple-input multiple-output (MU-MIMO) antennas. An MU-MIMO antenna system must accommodate many subscribers without additional bandwidth or energy. User scheduling becomes a critical strategy to take advantage of multiuser heterogeneity and acquire maximum gain in systems where the total number of recipients exceeds the number of transmitting antennas. Due to their high computational cost, many user selection methods currently in use, such as greedy algorithms and exhaustive search are unsuitable for MU-MIMO systems. A suitable scheduling mechanism is essential for the various users in an MU-MIMO system to utilise bandwidth and enhance the system’s total rate effectively. In this article, we proposed a user and antenna scheduling with a population-based meta-heuristic approach, namely the binary salp swarm algorithm (binary SSA), to increase the system sum rate with low computing complexity. We specifically used a population-based meta-heuristics optimisation technique to simulate the user scheduling problem in MU-MIMO systems, characterising complicated issues with binary decisions. Additionally, binary SSA significantly outperforms existing population-based models, such as the binary bat algorithm (binary BA), PSO, SSA, FPA and binary flower pollination algorithm (binary FPA), regarding system throughput/sum rate. The proposed binary SSA technique also effectively achieves a system sum rate compared to a random search scheme and other existing suboptimal scheduling methods. Compared to binary BA and binary FPA approaches, the binary SSA has a higher convergence rate and superior searching capabilities. The simulation outcomes show the proposed binary SSA-based scheduling scheme delivers noticeable performance benefits. © The Author(s) 2025.

关键词： Antenna Binary salp swarm algorithm Metaheuristics optimization Multiuser MIMO User scheduling

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Resource scheduling approach in cloud Testing as a Service using deep reinforcement learning algorithms

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CAAI Transactions on Intelligence technology 2021年第2期6卷 147-154页

作者： Priyadarsini Karthik Karthik Sekhar Department of Computer Science and Engineering Vels Institute of Science Technology and Advanced Studies(VISTAS)ChennaiIndia Department of Electronics and Communication Engineering College of Engineering and TechnologySRM Institute of Science and TechnologyVadapalani CampusChennaiIndia

Many organizations around the world use cloud computing Testing as Service(Taas)for their *** computing is principally based on the idea of on-demand delivery of computation,storage,applications,and additional *** depends on delivering user services through Internet *** addition,it uses a pay-as-you-go business design to deliver user *** offers some essential characteristics including on-demand service,resource pooling,rapid elasticity,virtualization,and measured *** are various types of virtualization,such as full virtualization,para-virtualization,emulation,〇S virtualization,and application *** scheduling in Taas is among the most challenging jobs in resource allocation to mandatory tasks/jobs based on the required quality of applications and *** of the cloud environment,uncertainty,and perhaps heterogeneity,resource allocation cannot be addressed with prevailing *** situation remains a significant concern for the majority of cloud providers,as they face challenges in selecting the correct resource scheduling algorithm for a particular *** authors use the emergent artificial intelligence algorithms deep RM2,deep reinforcement learning,and deep reinforcement learning for Taas cloud scheduling to resolve the issue of resource scheduling in cloud Taas.

关键词： Service cloud prevailing

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Experimental investigation of high carbon steel MMC for crown pinion gear

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Materials Today: Proceedings 2022年 69卷 901-907页

作者： Charles Godwin, R. Dhanasekaran, C. Department of Mechanical Engineering Vels Institute of Science Technology & Advanced Studies Tamilnadu Chennai 600117 India

The implementation of high carbon steel composite is growing continuously in the field of automotive and manufacturing industries because of their superior physical, mechanical and tribological properties as compared to normal steel. In automobiles, the differential plays major role to power transmission from engine to wheel. However, failure of crown pinion observed that the gear teeth have been sheared off by heat failure and edge of pinion gear is worn down caused by lubricant failure. So, this high carbon steel composite (high carbon steel + silicon carbide) could be proposed for crown pinion gear to control material wear and fracture. In this paper, the various proportions of high carbon steel composites were investigated and evaluated the characteristics of material hardness, compressive strength and material wear. The material proportions were 100–0 %, 99–1 % and 97.5–2.5 % of high carbon steel with silicon carbide. By observing experimental results, the high carbon steel with 2 % of silicon carbide have better material characteristics than other proportions and this also suggested to crown pinion gear production. © 2022

关键词： Powder metallurgy

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Study the enhanced mechanical properties of Al/B4C metal matrix composite

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Materials Today: Proceedings 2022年 68卷 1422-1428页

作者： Abhishek Krishna Sai, A. Chandrasekaran, M. Vinod Kumar, T. Pugazhenthi, R. Department of Mechanical Engineering Vels Institute of Science Technology & Advanced Studies Chennai 600 117 India

The purpose of this study is to see how Boron carbide (B4C) reinforcement affects the mechanical and wear behaviour of Al7010 alloy in dry sliding conditions at room temperature. The liquid casting method was used to create the aluminium 7010 with B4C metal matrix composites. The flux K2TiF6 was used to address in composites with 5–20 vol% B4C, the wetting problem between AA7010 and B4C, which aids in the development of undesirable phases at interfaces. A pin on disc equipment was used to conduct wear tests on AA7010- composites against an OHNS disc. The wear tests were carried out at a sliding speed of 0.6 m/s, a distance of 1200 m, and loads of 25 and 50 N. The wear resistance of AA 7010 –B4C composites was found to be superior to that of the base alloy. After a short sliding distance, the coefficient of friction achieved a steady-state value. The composites' wear rate and coefficient of friction are significantly reduced when compared to base alloy, and it reaches its lowest value at 10 vol% B4C under all load conditions. The coefficient of friction reduces as the sliding distance rises. The B4C reinforced AA7010 composites had good wear resistance, with 10 vol% B4C being the best for achieving the lowest wear rate under all load circumstances. The composites' hardness and tensile strength improve as the B4C level rises. SEM photos were used to examine the microstructures of the worn surfaces. © 2022

关键词： Wear of materials

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Study the impaction tool speed on the friction stir welding of magnesium alloys plates

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Materials Today: Proceedings 2022年 69卷 832-836页

作者： Maruthapandian, M. Pugazhenhi, R. Gnanavel, C. Department of Mechanical Engineering Vels Institute of Science Technology & Advanced Studies Chennai 600117 India

Reduction of materials weight is an innovative process in the current materials engineering works which causes lesser fuel consumption in any automotive. Magnesium alloys (Mg) is one of the most preferable lightweight structural material and it provide both potential and economical aspects in terms of rich material properties. In this study, dissimilar Mg alloys of AZ80A - T5 and AZ91C – T6 plates joined by the Friction Stir Welding (FSW) method by using tapered cylindrical tools with three different speeds of 500, 750 and 1000 rpm are used for the study. The optimum rotational speed was suggested for the FSW welded magnesium alloy plates based on the macrostructure and SEM images. © 2023

关键词： Magnesium alloys

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