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37th International Conference on Advanced Information Networking and Applications, AINA 2023

作者： Macedo, Daniel E. Bezerra, Marcus M. Santos, Danilo F. S. Perkusich, Angelo Electrical Engineering Graduate Program Federal University of Campina Grande PB Campina Grande Brazil VIRTUS RDI Center Federal University of Campina Grande PB Campina Grande Brazil

ISBN: (纸本)9783031284502

Cloud computing offers computational resources remotely. However, some applications require low latency response, making them unfeasible to allocate resources physically far away from users. As an option, the edge computing paradigm proposes moving computational resources from the cloud to the edge of the network, physically closer to the user, allowing low latency. However, resource orchestration presents new challenges in edge computing, as computational resources at the edge are usually limited compared to the cloud. Another alternative is fog computing, which connects these two environments by distributing computational resources both in the cloud and at the edge. In fog computing, resource allocation can consider user requirements as latency and availability of computational resources on servers. In this context, we show an approach to resource orchestration using the multi-dimensional knapsack problem with constraints applied to fog computing scenarios. We allocate resources through booking, ensuring that resources are allocated only for the necessary time, respecting the maximum waiting time and latency for each request. We analyzed simulation results, comparing the performance of our proposed approach with a traditional one. Furthermore, results demonstrated that our proposed orchestration method decreases the overall cost and guarantees user requirements. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Fog computing

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Application of deep learning-based image segmentation algorithm for Korean cattle weight estimation

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Transactions of the Korean Institute of Electrical Engineers 2021年第9期70卷 1336-1344页

作者： Lee, Chang-Bok Cho, Hyun-Chong Dept. of Electronics Engineering and Interdisciplinary Graduate Program for BIT Medical Convergence Kangwon National University Korea Republic of Dept. of Interdisciplinary Graduate Program for BIT Medical Convergence Kangwon National University Korea Republic of

Image-based weight measurement is a novel approach for reducing the manpower consumption of Korean cattle farms without causing stress to animals. In this paper, the weight was predicted by measuring the area of Korean cattle and estimating the weight correlation factors. Using the histogram sum from the acquired image data, repeated data was removed and learning efficiency was improved, and the Mask R-CNN model was trained with the selected data. Mask R-CNN uses RoIAlign and is a model capable of precise segmentation by replacing the Softmax activation function of FCN with sigmoid. The result of territorial division of Korean cattle in the background of an actual barn reached an average precision of 0.88 with confidence standards of average IoU 0.88 and 0.85. The size of the mask obtained as a result of segmentation had a maximum correlation of 0.88 with the body weight, and the minor axis length and major axis length of the optimal ellipse calculated through the mask had a correlation of 0.35 and 0.56, respectively. The weighted average of the error rate of the weight prediction results using these three weight correlation factors was 0.07. Copyright © The Korean Institute of Electrical Engineers.

关键词： Image segmentation

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Assessment of the Impact of COVID-19 Lockdown on the Spatio-Temporal Distribution of PM2.5 in Thailand 1

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8th Asia Conference on Environment and Sustainable Development, ACESD 2023

作者： Simatupang, Cathleen Ariella Piyaviriyakul, Pitchaya Pongkiatkul, Prapat Strezov, Vladimir Boontanon, Narin Jindal, Ranjna Boontanon, Suwanna Kitpati Graduate Program in Environmental and Water Resources Engineering Department of Civil and Environmental Engineering Faculty of Engineering Mahidol University Nakhon Pathom73170 Thailand School of Natural Sciences Faculty of Science and Engineering Macquarie University SydneyNSW2109 Australia Department of Environmental Engineering King Mongkut’s University of Technology Thonburi 10800 Bangkok Thailand Faculty of Environment and Resource Studies Mahidol University Nakhon Pathom73170 Thailand Environmental Engineering and Management Program Department of Energy Environment and Climate Change School of Environment and Resources Development Asian Institute of Technology 12120 Pathumthani Thailand Graduate School of Global Environmental Studies Kyoto University 606-8501 Yoshida Sakyo-Ku Kyoto Japan

ISBN: (数字)9789819733200

ISBN: (纸本)9789819733194

During COVID-19 pandemic several countries have implemented quarantines in response to the virus’ spread, which was considered an emergency. Thailand was under a state of emergency from January to December 2020, which has had an impact on the state of environment. Based on real-time data from the Pollution Control Department, the impact of COVID-19 lockdown on PM2.5 pollution in Thailand was examined. Inverse Distance Weighted interpolation was used to generate a more accurate visual representation of the PM2.5 pollution through a spatial distribution of atmospheric pollutants across the provinces of Thailand. PM2.5 levels in all considered areas reduced considerably between 2017 and 2020, with the most significant decrease occurring during the lockdown period of April-July in 2020. As the pre-COVID-19 period occurred during late winter in Thailand, the monthly average PM2.5 concentrations in all selected provinces were gradually increased from December 2019 to March 2020. During the lockdown period, the concentration of PM2.5 was reduced in Pathum Thani (48.9%), Samut Sakhon (35.6%) Samut Prakarn (33.6%), and Bangkok (31.7%) The spatial–temporal distribution of the PM2.5 levels in Samut Sakhon and Samut Prakarn provinces were analyzed for October 2020, during the new normal period. The results showed a significant decrease in concentration of up to 31% compared to previous years where industrial operations were situated. This study showed that the government enforced lockdown during COVID-19 pandemic was beneficial in understanding the impact of reduced human activities on anthropogenic air pollutants’ concentrations. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： COVID-19

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NONDETERMINISTIC STACKS IN NEURAL NETWORKS

arXiv

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arXiv 2023年

作者： DuSell, Brian Graduate Program in Computer Science and Engineering Notre DameIN United States

Human language is full of compositional syntactic structures, and although neural networks have contributed to groundbreaking improvements in computer systems that process language, widely-used neural network architectures still exhibit limitations in their ability to process syntax. To address this issue, prior work has proposed adding stack data structures to neural networks, drawing inspiration from theoretical connections between syntax and stacks. However, these methods employ deterministic stacks that are designed to track one parse at a time, whereas syntactic ambiguity, which requires a nondeterministic stack to parse, is extremely common in language. In this dissertation, we remedy this discrepancy by proposing a method of incorporating nondeterministic stacks into neural networks. We develop a differentiable data structure that efficiently simulates a nondeterministic pushdown automaton, representing an exponential number of computations with a dynamic programming algorithm. Since it is differentiable end-to-end, it can be trained jointly with other neural network components using standard backpropagation and gradient descent. We incorporate this module into two predominant architectures: recurrent neural networks (RNNs) and transformers. We show that this raises their formal recognition power to arbitrary context-free languages, and also aids training, even on deterministic context-free languages. Empirically, neural networks with nondeterministic stacks learn context-free languages much more effectively than prior stack-augmented models, including a language with theoretically maximal parsing difficulty. We also show that an RNN augmented with a nondeterministic stack is capable of surprisingly powerful behavior, such as learning cross-serial dependencies, a well-known non-context-free pattern. We demonstrate improvements on natural language modeling and provide analysis on a syntactic generalization benchmark. This work represents an important step towa

关键词： Recurrent neural networks

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Amico: Message Exchange Service for Elderly People 11

Amico: Message Exchange Service for Elderly People

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11th IEEE Global Conference on Consumer Electronics, GCCE 2022

作者： Isozaki, Atsushi Fukae, Kazuki Arai, Kenichi Kobayashi, Toru Nakamura, Masahide Nagasaki University Computer and Information Science Program Graduate School of Engineering Nagasaki Japan Nagasaki University Division of Electrical Engineering and Computer Science Graduate School of Engineering Nagasaki Japan Kobe University Center of Mathematical and Data Sciences Hyogo Japan

ISBN: (纸本)9781665492324

This study is related to a system that enables elderly people to communicate interactively with young people who use existing message exchange services by simply speaking to an avatar on a tablet PC, without having to perform complicated operations of the tablet PC. On the other hand, the young people side can bring in elderly people who could not previously participate in existing message exchange services groups. The effectiveness of the system was verified through demonstration experiments with two households consisting of elderly people in their 80s. © 2022 IEEE.

关键词： Personal computers

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Numerical estimation of the coupling loss factor for L-joined plates 27

Numerical estimation of the coupling loss factor for L-joine...

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27th International Congress on Sound and Vibration, ICSV 2021

作者： Barbosa, Rangel Moura Medeiros, Eduardo Bauzer Graduate Program in Mechanical Engineering UFMG Belo Horizonte Brazil

ISBN: (纸本)9788378807995

Metallic panels are common in a variety of engineering applications. A configuration often found in vehicular applications can be conveniently described as L-joined Plates. The present work considers the vibration transmission between isotropic plates joined by means of an L-junction. The coupling loss factor (CLF), a parameter used in the statistical energy analysis (SEA) is studied in order to characterize the behavior of this configuration. Initially, this parameter is obtained by means of the wave approach. Subsequently, the finite element method (FEM) combined with an experimental statistical energy analysis model (ESEA), provides values of the apparent coupling loss factor (ACLF) for this system. Within the analysis, comparisons between the results of the approaches are established and the influence of the damping loss factor (DLF) and plate boundary conditions on the results are investigated. In the wave approach, it is confirmed that there is no influence of these mentioned factors, whereas in the procedure with FEM and ESEA the influences are observed. In the latter, the boundary conditions result in more significant changes of ACLF values at low frequencies, while for the higher damping values used it has been found that the results are closer to those of CLF in the wave approach. In general, the tendency of approximation between the results of the approaches is observed at higher frequencies. The present research also indicates that the ESEA results through FEM application are affected by the excitation. © "Advances in Acoustics, Noise and Vibration - 2021" Proceedings of the 27th International Congress on Sound and Vibration, ICSV 2021. All rights reserved.

关键词： Boundary conditions

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Rational Approximation of a Three-Phase Photovoltaic System via TD-VF and NL-VF

Rational Approximation of a Three-Phase Photovoltaic System ...

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IEEE Texas Power and Energy Conference (TPEC)

作者： Jose E. Tamayo Abner Ramirez Juan M. Ramirez Graduate Studies Program in Electrical Engineering CINVESTAV IPN Guadalajara Mexico

This paper presents the rational approximation of a three-phase photovoltaic (PV) system via the time-domain vector fitting (TD-VF) and nonlinear vector fitting (NL-VF) techniques. A significant feature of both methods is that the transfer function is unknown, and input/output variables are sufficient data for the transfer function's dynamics characterization. The accuracy and robustness of both techniques are compared via an example. It is shown that NL-VF is an effective alternative to TD-VF for rationally identifying a system with nonlinear components, such as a PV generator.

关键词： Photovoltaic systems Convolution Frequency-domain analysis Fitting Transfer functions Generators Robustness

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An Interoperable Microservices Architecture for Healthcare Data Exchange 1

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37th International Conference on Advanced Information Networking and Applications, AINA 2023

作者： de Alencar, Allender V. Bezerra, Marcus M. Valadares, Dalton C. G. Santos, Danilo F. S. Perkusich, Angelo Electrical Engineering Graduate Program Federal University of Campina Grande PB Campina Grande Brazil VIRTUS RDI Center Federal University of Campina Grande PB Campina Grande Brazil

ISBN: (数字)9783031286940

ISBN: (纸本)9783031286933

Nowadays, the healthcare sector has stood out for offering the population a better quality of life. Under these circumstances, Information and Communication Technologies (ICT) are essential in mitigating the growing need for hospitals and care centers, providing computation and communication infrastructures to support healthcare services and applications. The introduction of new technologies in the healthcare industry, such as the Internet of Things (IoT), Artificial Intelligence (AI), and Big Data, improve service delivery vertically. However, a problem arises when introducing those new paradigms: the amount of data generated from healthcare devices and applications. Indeed, data sharing brings some challenges due to different types of healthcare standards, multiple protocols, systems diversity, and incompatibility of data. In this article, we introduce a microservices architecture for healthcare transcoding engines. Our solution show how transcoders can be encapsulated as independently functions using microservices. An application scenario that maps healthcare standards is also presented. We show that the use of microservices as transcoding engines improves scalability and flexibility features required by the healthcare sector. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Engines

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Natural antimicrobial properties of liquid smoke derived from cocoa pod shells in meatball preservation

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South African Journal of Chemical engineering 2023年 46卷 106-111页

作者： Desvita, Hera Faisal, M. Mahidin, Mahidin Suhendrayatna Doctoral Program Post Graduate Program Universitas Syiah Kuala Indonesia Research Center for Chemistry National Research and Innovation Agency B.J. Habibie Science and Techno Park Serpong Banten South Tangerang 15314 Indonesia Chemical Engineering Department Faculty of Engineering Universitas Syiah Kuala Indonesia Halal Research Center Universitas Syiah Kuala Indonesia

The liquid smoke, which is produced by pyrolyzing wood materials containing cellulose, hemicellulose, and lignin, can be used to preserve food. Phenolic, acetic, and carbonyl compounds found in liquid smoke can serve as a natural preservative. This study aimed to determine meatball preservation ability of liquid smoke from cocoa pod shells. Specifically, cocoa pod shells were converted to liquid smoke using slow pyrolysis at three different temperatures, 300 °C, 340 °C and 380 °C. Prior to its use, liquid smoke was purified using distillation at 190 °C. Liquid smoke at concentrations of 0.5%–3.0% was then used to preserve meatballs using an immersion method. Total volatile base-nitrogen (TVB-N), total plate count (TPC), and most probable number (MPN) analyses were used to evaluate preservation performance of liquid smoke. The statistical methods for MPN using one-way ANOVA followed by Tukey's tests. The SNI (Standar Nasional Indonesia) threshold to test whether meatballs remained fresh (TVB-N <20 mg N/g). TPC test results indicated that beef meatballs stay fresh at room temperature for 42 h or 48 h of storage using 0.5% or 1%–3% liquid smoke concentrations, respectively. Based on MPN tests showed meatballs could last for 48 h for all samples. Liquid smoke produced from cocoa pod shells can be used as a natural preservative for beef meatballs;however, liquid smoke concentrations influence the maximum preservation period for meatballs. © 2023 The Author(s)

关键词： Cocoa pod shells Liquid smoke MPN Pyrolysis Total plate count Total volatile base-nitrogen

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Global mapping of volumetric water retention at 100,330 and 15000 cm suction using the WoSIS database

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International Soil and Water Conservation Research 2023年第2期11卷 225-239页

作者： Maria Eliza Turek Laura Poggio Niels H.Batjes Robson Andre Armindo Quirijn de Jong van Lier Luis de Sousa Gerard B.M.Heuvelink ISRIC-World Soll Information Wageningemthe Netherlands Graduate Program in Environmental Engineering Federal University of ParunaCurtibaR Brazil Soll Geography and Landscope Group Wageningen University Wageningenthe Netherlands Department of Physics Federul University of LavrasMGBrarll CENA-Universiy of Sao Poulo PinacicabasaoBrazil

Present global maps of soil water retention(SWR)are mostly derived from pedotransfer functions(PTFs)applied to maps of other basic soil *** an alternative,'point-based'mapping of soil water content can improve global soil data availability and *** developed point-based global maps with estimated uncertainty of the volumetric SWR at 100,330 and 15000 cm suction using measured SWR data extracted from the WoSIS Soil Profile Database together with data estimated by a random forest PTF(PTF-RF).The point data was combined with around 200 environmental covariates describing vegetation,terrain morphology,climate,geology,and hydrology using *** total,we used 7292,33192 and 42016 SWR point observations at 100,330 and 15000 cm,respectively,and complemented the dataset with 436108 estimated values at each *** cross-validation yielded a Root Mean Square Error(RMSE)of6380,7.112 and 6.48510^(-2)cm^(3)cm^(-3),and a Model Efficiency Coefficient(MEC)of0.430,0386,and 0.471,respectively,for 100,330 and 15000 *** results were also compared to three published global maps of SWR to evaluate differences between point-based and map-based mapping ***-based mapping performed better than the three map-based mapping approaches for 330 and 15000 cm,while for 100 cm results were similar,possibly due to the limited number of SWR observa-tions for 100 *** sources or uncertainty identified included the geographical clustering of the data and the limitation of the covariates to represent the naturally high variation of SWR.

关键词： Digital soil mapping Soil hydraulic properties Pedometrics SoilGrids

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