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arXiv 2024年

作者： Omoomi, Behnaz Dastjerdi, Marzieh Vahid Department of Mathematical Sciences Isfahan University of Technology Isfahan84156-83111 Iran Research Center for Development of Advanced Technologies K. N. Toosi University of Technology Tehran Iran

The star chromatic index of a graph G, denoted by χ′s(G), is the smallest integer k for which G admits a proper edge coloring with k colors such that every path and cycle of length four is not bicolored. Let d be the greatest common divisor of n and k. Zhu et al. (Discussiones Mathematicae: Graph Theory, 41(2): 1265, 2021) showed that for every integers k and n > 2k with d ≥ 3, generalized Petersen graph GP (n, k) admits a 5-star edge coloring, with the exception of the case that d = 3, k 6= d and n3 = 1 (mod 3). Also, they conjectured that for every n > 2k, χ′s(GP (n, k)) ≤ 5, except GP (3, 1). In this paper, we prove that for every GP (n, k) with n ≥ 2k and d ≥ 3 their conjecture is true. In fact, we provide a 5-star edge coloring of GP (n, k), where n ≥ 2k and d ≥ 3. We also obtain some results for 5-star edge coloring of GP (n, k) with d = 2. Moreover, Dvořák et al. (Journal of Graph Theory, 72(3):313-326, 2013) conjectured that the star of chromatic index of subcubic graphs is at most 6. Thus, our results also prove this conjecture for the generalized Petersen graphs, as a class of subcubic *** Codes 05C15 © 2024, CC BY.

关键词： Stars

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DroMPI: Parallel Computation Over Drop Computing

DroMPI: Parallel Computation Over Drop Computing

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Cluster, Cloud and Internet Computing Workshops (CCGridW), IEEE/ACM International Symposium on

作者： George-Mircea Grosu Silvia-Elena Nistor Radu-Ioan Ciobanu Ciprian Dobre Florin Pop National University of Science and Technology Politehnica Bucharest Romania National Institute for Research and Development in Informatics (ICI) Bucharest Romania Academy of Romanian Scientists Bucharest Romania

ISBN: (数字)9798350377514

ISBN: (纸本)9798350377521

With the advancement of technology and the spread of multi-core systems, the need for parallelization arises and the interest in programming models is growing. At the same time, new distributed computing models have been proposed, being in fierce competition to obtain the highest possible performance. The Drop Computing Paradigm proposes the idea of decentralized computing over ad-hoc opportunistic networks of mobile and Edge devices. In this respect, the Drop Computing model does not only aim to achieve a minimum turnaround time but also to optimize other characteristics related to mobile devices, such as limited resources and opportunistic communication. Therefore, it is necessary to define a new programming model called DroMPI that intends to extend the capabilities of current parallel and distributed programming models, based on the Drop Computing paradigm. Therefore, the solution aims to develop a library that takes advantage of hardware capabilities in the interest of the Drop Computing paradigm and also provides programmers with a high-level programming interface. The library’s features will be based on the Message Passing Interface (MPI) standard, which will be responsible for inter-node parallelization. The name of the library, DroMPI, is an acronym for Drop Computing and MPI. The implementation of the model will be responsible for the management of communication between nodes and for providing an Application Programming Interface (API) for the development of parallel applications in the Drop Computing paradigm.

关键词： Productivity Adaptation models Parallel programming Terminology Computational modeling Message passing Libraries Resource management Standards Application programming interfaces

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Large-scale pretraining on pathological images for fine-tuning of small pathological benchmarks

arXiv

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arXiv 2023年

作者： Kawai, Masakata Ota, Noriaki Yamaoka, Shinsuke University of Yamanashi Department of Pathology Japan Systems Research & Development Center Technology Bureau NS Solutions Corp. Japan

Pretraining a deep learning model on large image datasets is a standard step before fine-tuning the model on small targeted datasets. The large dataset is usually general images (e.g. imagenet2012) while the small dataset can be specialized datasets that have different distributions from the large dataset. However, this "large-to-small" strategy is not well-validated when the large dataset is specialized and has a similar distribution to small datasets. We newly compiled three hematoxylin and eosin-stained image datasets, one large (PTCGA200) and two magnification-adjusted small datasets (PCam200 and segPANDA200). Major deep learning models were trained with supervised and self-supervised learning methods and fine-tuned on the small datasets for tumor classification and tissue segmentation benchmarks. ResNet50 pretrained with MoCov2, SimCLR, and BYOL on PTCGA200 was better than imagenet2012 pretraining when fine-tuned on PTCGA200 (accuracy of 83.94%, 86.41%, 84.91%, and 82.72%, respectively). ResNet50 pretrained on PTCGA200 with MoCov2 exceeded the COCOtrain2017-pretrained baseline and was the best in ResNet50 for the tissue segmentation benchmark (mIoU of 63.53% and 63.22%). We found re-training imagenet-pretrained models (ResNet50, BiT-M-R50x1, and ViT-S/16) on PTCGA200 improved downstream benchmarks. Copyright © 2023, The Authors. All rights reserved.

关键词： Large dataset

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Identification of key atomic process of Metal-induced lateral crystallization from First-principles Calculations

Identification of key atomic process of Metal-induced latera...

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International Conference on Simulation of Semiconductor Processes and Devices (SISPAD)

作者： Yutaro Ogawa Hikari Suzuki Masayasu Miyata Advanced Memory Development Center Memory Division Kioxia Corporation Yokohama Japan Core Technology Research Center Frontier Technology R&D Institute Kioxia Corporation Yokohama Japan

ISBN: (数字)9798331516352

ISBN: (纸本)9798331516369

In order to improve the efficiency of metal-induced lateral crystallization (MILC) using Ni, it is important to understand the fundamental mechanisms. In this study, the NiSi 2 /amorphous Si (a-Si) interface is appropriately modeled and the atom transfer behavior during the MILC process was explored by first-principles calculations. It is found that the overall picture of MILC mechanism can be effectively comprehended through three fundamental processes: (1) the formation of Ni vacancies at the a-Si interface, (2) the diffusion of Ni vacancies within the bulk NiSi2, and (3) the reconstruction of the c-Si interface. The trends under stress, observed in experiments, are explained by applying this mechanism to the MILC process.

关键词： Surface reconstruction Crystallization Market research Nickel Silicon Semiconductor process modeling Epitaxial growth Stress Surface treatment

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Application of Engineering Fast Control technology in Bed Temperature Control of CFB 10

Application of Engineering Fast Control Technology in Bed Te...

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10th International Forum on Electrical Engineering and Automation, IFEEA 2023

作者： Huang, Weijian Li, Jun Southern Power Grid Electrical Technology Co. Ltd Power Supply Department No. 8 Shuijungang Dongfeng East Road Guangzhou China Guangdong Power Grid Co. Ltd. Power Science Research Institute Department of Technology Development No. 8 Shuijungang Dongfeng East Road Guangzhou China

ISBN: (纸本)9798350309379

Bed temperature is a crucial parameter for circulating fluidized bed (CFB) boilers, as it impacts the safety, stability, economy, and environmental sustainability of boiler operation. However, due to the complexity of control objectives such as nonlinearity, delay, and inertia, automatic bed temperature control remains a challenge for most boilers. This article introduces the principle, structure, and parameter tuning method of Engineering Fastest Controller (EFC) and its application in bed temperature control. Through examples, we clarify the bed temperature control system architecture with EFC as the core, modeling, controller parameter calculation, feedforward setting, and actual operation effects. Practical experience has shown that EFC significantly enhances bed temperature control performance, improves feedback control effectiveness, provides an innovative solution for CFB bed temperature control, and promotes technological advancement. © 2023 IEEE.

关键词： bed temperature control object circulating fluidized bed boiler bed temperature control control strategy engineering fastest controller feedforward setting method

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Triple Jeopardy: The Combined Effects of Viral, Chemical, and Thermal Stress on Kuruma Prawn (Penaeus Japonicus) Juveniles

SSRN

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SSRN 2024年

作者： Hano, Takeshi Ito, Mana Sato, Taku Sugaya, Takuma Sato, Jun Jusup, Marko Iwasaki, Yuichi Environmental Conservation Division Fisheries Technology Institute National Research and Development Agency Japan Fisheries Research and Education Agency 2-17-5 Maruishi Hiroshima Hatsukaichi739-0452 Japan Production Engineering Division Fisheries Technology Institute National Research and Development Agency Japan Fisheries Research and Education Agency 1760 Momoshima Hiroshima Onomichi722-0061 Japan Pathology Division Fisheries Technology Institute National Research and Development Agency Japan Fisheries Research and Education Agency 422-1 Nakatsuhamaura Mie Minamiise722-0061 Japan Highly Migratory Resource Division Fisheries Resources Institute National Research and Development Agency Japan Fisheries Research and Education Agency 2-12-4 Fukuura Kanazawa Kanagawa Yokohama236-8648 Japan Research Institute of Science for Safety and Sustainability National Institute of Advanced Industrial Science and Technology 16–1 Onogawa Ibaraki Tsukuba305–8569 Japan

Growing concerns have emerged over the combined effects of multiple stressors on ecosystems. Empirical evidence shows that the sensitivity of juvenile kuruma prawns (Penaeus japonicus) to insecticides varies under thermally fluctuating conditions. Additionally, field surveys in estuarine areas of Western Japan confirmed the presence of juvenile kuruma prawns carrying the white spot syndrome virus (WSSV). Given the potential of co-exposure of these stressors, we performed a combined exposure experiment using full-factorial design with three types of stressors: WSSV infection (presence or absence: initial 2-h exposure), insecticide fipronil (0 or 0.1 µg/L: 14-d exposure), and temperature (20, 25, or 30 °C). We observed the highest mortality of 75% in the WSSV + Fipronil treatment at 30 °C, accompanied by significant changes in the internal WSSV load and the concentrations of fipronil and its metabolite, fipronil sulfone. Severe perturbations of metabolites associated with increased energy expenditure and fatty acid utilization have been identified as the potential causes for lethality. Results demonstrate the capacity of WSSV infections to render thermally stressed juvenile kuruma prawns more susceptible to fipronil. This emphasizes the need to understand the combined effects of multiple stressors in environmentally-relevant scenarios on juvenile kuruma prawns as well as estuarine ecosystems. © 2024, The Authors. All rights reserved.

关键词： Metabolites

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Real-time Testbed for Smart Substation Interoperability: A Case Study on Auxiliary Control System

Real-time Testbed for Smart Substation Interoperability: A C...

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2023 Panda Forum on Power and Energy, PandaFPE 2023

作者： Chang, Zhengwei Cai, Dongsheng Wu, Jie Guan, Zexiang Feng, Fuyong Zheng, Zhou Qu, Jia He, Muxing Abulanwar, Saved State Grid Sichuan Electric Power Company Electric Power Research Institute Chengdu China The College of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu China Huaneng Tibet the Yarlung Zangbo River Hydropower Development Investment Co. Ltd Chengdu China Mansoura University Electrical Engineering Department Egypt

ISBN: (纸本)9798350321173

Smart substation auxiliary control system (SSACS) is an important part of the smart substation. Among them, the national grid technical standards have made corresponding provisions on the function, composition, communication, etc. of the auxiliary control system, but they are relatively general. And there are some differences in the division, functions, access methods, and other aspects of the subsystem. At the same time, there are great differences in the product realization of various manufacturers, which brings serious problems to the operation and maintenance of smart substations. A simulation-based test framework is proposed to design a test system for the smart substation auxiliary control system to strictly test the whole system. All the devices and IEC 61850 protocols are tested by the proposed simulators. The experiment results show the test system can effectively test the auxiliary control system. © 2023 IEEE.

关键词： Control systems

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Automated Mapping of Global 30-m Tidal Flats Using Time-Series Landsat Imagery:Algorithm and Products

Journal of Remote Sensing

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Journal of Remote Sensing 2023年第1期3卷 362-377页

作者： Xiao Zhang Liangyun Liu Jinqing Wang Tingting Zhao Wendi Liu Xidong Chen International Research Center of Big Data for Sustainable Development Goals Beijing 100094China Key Laboratory of Digital Earth Science Aerospace Information Research InstituteChinese Academy of SciencesBeijing 100094China School of Electronic Electrical and Communication EngineeringUniversity of Chinese Academy of SciencesBeijing 100049China College of Geomatics Xi’an University of Science and TechnologyXi’an 710054China North China University of Water Resources and Electric Power Zhengzhou 450046China

Tidal flats are an important part of coastal ecosystems and play an important role in shoreline protection and biodiversity *** many efforts have been made in tidal flat mapping,an accurate global tidal flat product covering all coasts globally is still lacking and urgently *** this study,a novel method is proposed for the automated mapping of global tidal flats at 30 m(GTF30)in 2020 based on the Google Earth Engine,which is also the first global tidal flat dataset covering the high latitudes(>60°N).Specifically,we first propose a new spectral index named the LTideI index through a sensitivity analysis,which is robust and can accurately capture low-tide ***,globally distributed training samples are automatically generated by combining multisource datasets and the spatiotemporal refinement ***,the global coasts are divided into 5885°×5°geographical tiles,and the local adaptive classification strategy is used to map tidal flats in each 5°×5°region by using multisourced training features and the derived globally distributed training *** statistical results show that the total global area of tidal flats is about 140,922.5 km2,with more than 75% distributed on 3 continents in the Northern Hemisphere,especially in Asia(approximately 43.1% of the total).Finally,the GTF30 tidal flat dataset is quantitatively assessed using 13,994 samples,yielding a good overall accuracy of 90.34%.Meanwhile,the intercomparisons with several existing tidal flat datasets indicate that the GTF30 products can greatly improve the mapping accuracy of tidal ***,the novel method can support the automated mapping of tidal flats,and the GTF30 dataset can provide scientific guidance and data support for protecting coastal ecosystems and supporting coastal economic and social *** GTF30 tidal flat dataset in 2020 is freely accessible via https://***/10.5281/zenodo.7936721.

关键词： tidal coastal Tidal

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Driver Drowsiness Detection System Using Image Processing

Driver Drowsiness Detection System Using Image Processing

引用

International Conference on System Modeling & Advancement in research Trends (SMART)

作者： Rishabh Kumar Mayank Pratyush Om Gupta Utkarsh Tiwari Shweta Chauhan Apex Institute of Technology Chandigarh University Punjab India Apex Institute of Technology (CSE) University Centre for Research and Development Chandigarh University Mohali India

Driving a vehicle in a state of drowsiness is one of the problems that is increasing rapidly. People's lifestyles are the main reason behind this. Not getting proper sleep, eating an unhealthy diet, following an improper routine, experiencing work stress, etc. Drowsiness is not dangerous if a person is at home or even sitting in the back seat of a car, but if the person's brain is approaching this state, it may result in a disastrous accident. To deal with this problem, research and development are happening every second. In this paper, an image processing-based technique has been analysed to detect the state of drowsiness by analysing the facial behaviour and trigger an alarm to prevent any mishappening.

关键词：

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Hybrid LSTM-RNN and Lion Optimization Algorithm for IoT-based Proactive Healthcare Data Management

Hybrid LSTM-RNN and Lion Optimization Algorithm for IoT-base...

引用

Knowledge Engineering and Communication Systems (ICKECS), International Conference on

作者： R Kabila S Sri Balaji V Vikraam S Rajesh Kumar R Praveen Computer Science and Engineering K. S. Rangasamy College of Technology Tiruchengode India Research & Development ICU Medical India LLP Chennai India

ISBN: (数字)9798350359688

ISBN: (纸本)9798350359695

In the realm of healthcare, the integration of Internet of Things (IoT) technology has revolutionized patient monitoring, allowing for real-time data collection and analysis. This abstract introduces a novel approach to patient monitoring utilizing a hybrid Long Short-Term Memory-Recurrent Neural Network (LSTM-RNN) architecture combined with Lion Optimization for enhanced feature selection. The proposed system aims to predict and monitor patient health conditions, particularly focusing on cardiac health. By harnessing IoT devices for continuous data acquisition, vital signs such as heart rate, blood pressure, and oxygen saturation levels are collected in real-time. The hybrid LSTM-RNN model is employed to analyze this data, leveraging its ability to capture temporal dependencies and patterns in sequential data. Furthermore, Lion Optimization, inspired by the hunting behavior of lions, is utilized for feature selection to enhance the predictive accuracy of the model. This optimization technique intelligently selects the most relevant features from the collected data, thereby improving the efficiency and effectiveness of the predictive model. The combination of IoT-based patient monitoring, hybrid LSTM-RNN architecture, and Lion Optimization offers a accuracy of 99.99 %, precision of $\mathbf{9 7 \%}$, recall of $\mathbf{9 6 . 0 6 \%}$, and f1 measure of $\mathbf{9 6 . 5 3 \%}$. By providing early detection and prediction of health issues, this approach facilitates timely interventions and personalized treatment plans, ultimately enhancing patient outcomes and quality of life.

关键词： Patient monitoring Accuracy Medical services Predictive models Feature extraction Prediction algorithms Real-time systems

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