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2024 International Conference on Smart Computing, IoT and Machine Learning, SIML 2024

作者： Ardiansyah, Deden Mustafid Mantoro, Teddy Universitas Diponegoro Doctoral Program of Information Systems School of Postgraduate Central Java Semarang Indonesia Universitas Pakuan Vocational School Computer Engineering Department West Java Bogor Indonesia Sampoerna University Media-Tech-Lab Computer Science Department DKI Jakarta Indonesia

ISBN: (纸本)9798350364101

The energy control of a Wireless Sensor Network (WSN) often leads to an unbalanced state between the battery storage system, energy extraction through photovoltaic systems energy, and energy utilization in the WSN. These disparities result in suboptimal wireless sensor network performance. The reliance on batteries is a major factor contributing to this problem. The Q-Learning Energy Management System (Q-EMS) is designed to address these challenges and improve energy management strategies. The Q-EMS algorithm used a learning process resulting in optimal actions for sensor nodes in different situations. The rewards or punishments nodes receive determine their decisions, which are determined by the Q-EMS algorithm. The Q-learning model approach is aimed at reducing energy consumption and supply in WSNs. Energy supply is categorized into battery-based, transfer-based, and harvesting, while energy consumption can be classified into task-cycle, mobility-based, and data-driven. The development of the Q Learning algorithm model has three scenarios: determining energy needs for WSN, effective energy harvesting strategy, and effective energy transfer. As a result, effective energy demand, harvesting and transfer using the Q-learning algorithm are balanced. However, it needs to be studied in more depth using real data in the field. In future research, I will use real data and optimize the use of the Q-Learning algorithm. © 2024 IEEE.

关键词： Energy management systems

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Multiyear temperature variation in tropical mountain peatlands from the southern Espinhaço Mountain Range in Brazil

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Journal of Mountain Science 2025年第3期22卷 820-837页

作者： Diego TASSINARI Cristiano CHRISTOFARO Uidemar M.BARRAL Camila R.COSTA Thiago A.A.PINTO William J.DO CARMO Bárbara P.C.SILVA Érica P.C.ARDOZO Alexandre C.SILVA Department of Soil Science Federal University of Lavras37203-202LavrasMGBrazil Department of Forestry Engineering Federal University of Jequitinhonha and Mucuri Valleys39100-000DiamantinaMGBrazil Postgraduate Program in Plant Production Federal University of Jequitinhonha and Mucuri Valleys39100-000DiamantinaMGBrazil Institute of Geosciences University of Brasilia70910-900BrasíliaDFBrazil Sao Paulo State University 15385-007Ilha SolteiraSPBrazil

Tropical mountain peatlands in Brazil’s Southern Espinhaço Range are vital ecosystems,acting as carbon reservoirs,hydrological buffers,and biodiversity hotspots while sustaining traditional livelihoods and preserving paleoenvironmental *** their importance,peatlands outside protected areas face degradation by grazing and fires,threatening their ability to regulate ecosystem processes sensitive to temperature,such as greenhouse gas emissions,water cycling,biological activity,and organic matter *** 2016,we have monitored peat temperatures in two contrasting peatlands–one preserved(within a protected area)and one disturbed(outside the protected area)–to understand how anthropogenic disturbances and climate variability impact these fragile *** patterns dominated temperature variation,accounting for 60% of air and 81%–92% of peatland temperature ***,average temperatures and amplitudes differed between peatlands and *** variability revealed stronger trends in the disturbed peatland,where a 1℃ increase in air temperature caused the trend to increase 0.70℃–0.87℃ on average at depths of 0.85 m–0.92 *** contrast,the preserved peatland showed smaller increases(0.20℃–0.24℃)at comparable depths(1.06 m–1.24 m),suggesting a greater *** variation in the monitored peatlands was majorly driven by seasonal patterns,as revealed by time series decomposition and sinewave *** temperature and amplitude varied between the two peatlands and among sampling sites,reflecting differences in environmental conditions and measurement *** variability also exhibited distinct effects between peatlands and monitoring *** time series trend component showed more pronounced fluctuations at shallower depths and in the disturbed *** every 1℃ increase in the trend component of the air temperature,the trend component of the peatland time series increased by 0.70℃ and 0.87℃on averag

关键词： Wetlands Organic soil Soil temperature Histosol Degradation

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Understanding Acoustic Phenomena in Stenosed Coronary Arteries through Bond Graph Modeling of Sound Generation

Understanding Acoustic Phenomena in Stenosed Coronary Arteri...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Loreto Rojas Sandoval René Araya Ulloa Ana Karoline Almeida Da Silva Gustavo Adolfo Marcelino de Almeida Nunes Rafael Mendes Faria José Parra Sepúlveda Lindemberg Barreto Mota Da Costa Luca Rubilar Acevedo Mário Fabrício Fleury Rosa Esteban J. Pino Suélia de Siqueira Rodrigues Fleury Rosa Electrical Engineering Department Universidad de Concepción Chile Mechanical Engineering Department University of Brasilia Brasilia Brazil Postgraduate Program in Biomedical Engineering University of Brasilia Brasilia Brazil

ISBN: (数字)9798350371499

ISBN: (纸本)9798350371505

Coronary artery stenosis is characterized by the obstruction or narrowing of coronary arteries, impairing blood flow to the cardiac muscle. Cardiovascular diseases rank among the leading global causes of death. Understanding the mechanisms, risk factors, and impacts of coronary artery stenosis (CAD) is essential for developing effective strategies for prevention, early diagnosis, and treatment, aiming to enhance cardiovascular health and reduce adverse consequences associated with this condition. Previous studies explore the potential of acoustic devices in non-invasive CAD detection through the analysis of cardiac sounds. A theoretical model utilized a cardiac microphone and signal processing to generate sounds in partially obstructed coronary arteries. Emphasizing the model’s sensitivity to geometric and dynamic parameters, this article integrates Bond Graph (BG) models into the analog sound circuit, aiming to develop a dynamic representation of biological processes in complex systems like coronary arteries. This research seeks to construct a comprehensive mathematical model using a state-space approach to enhance understanding, diagnostics, and interventions in cardiovascular conditions. The utilization of BG demonstrated notable similarity to the pathology of the disease, providing an accurate representation of its effects. The model’s sensitivity to geometric and dynamic parameters allowed an in-depth understanding of the specific physiological characteristics of the disease, highlighting its ability to reproduce patterns observed in patients with CAD.

关键词： Solid modeling Analytical models Pathology Sensitivity Biological system modeling Prevention and mitigation Signal processing Predictive models Mathematical models Arteries

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ATSC 3.0 Constellation Analysis using Computer Vision Combined with AI Decision Tree

ATSC 3.0 Constellation Analysis using Computer Vision Combin...

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International Conference on Software, Telecommunications and Computer Networks (SoftCOM)

作者： Jefferson Jesus Hengles Almeida Paulo Batista Lopes Cristiano Akamine Postgraduate Program in Electrical and Computer Engineering (PPGEEC) Mackenzie Presbyterian University São Paulo Brazil

This paper presents a proposal of a computer vision tool based on Open CV that allows the pre-visual identification of non-uniform constellation levels, channel coding, and Signal-to-Noise Ratio (SNR) estimation on ATSC. Nowadays, the challenge of digital television systems is to transmit high quality videos employing the new technologies, such as Ultra High Definition (UHD). Thus, the new standards as ATSC 3.0 have incorporated several modifications on their physical layers. Among them, it is possible to highlight the use of non-uniform constellations, advanced channel error coding and layer division multiplexing (LDM). However, the pre-visual understanding of the received constellations has become hard since the complex symbols are not distributed evenly in the complex plane and there are different layers to be seen simultaneously. So, the techniques of computer vision have a great potential to analyze and to extract an initial information from the images related to the received constellation, to identify the modulation level, channel coding rate and SNR to each layer, without the necessity of complete demodulation.

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Spatial Hotspot Data and Weather for Forest Fire Data Clustering 5

Spatial Hotspot Data and Weather for Forest Fire Data Cluste...

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5th International Conference on Information and Communications Technology, ICOIACT 2022

作者： Mimboro, Prasetyo Kusrini, Kusrini Laksito, Arif Dwi Postgraduate Program Universitas Amikom Yogyakarta Yogyakarta Informatics Engineering Departement Amikom Yogyakarta Indonesia Universitas Amikom Yogyakarta Faculty of Computer Science Amikom Yogyakarta Indonesia

ISBN: (数字)9781665451406

ISBN: (纸本)9781665451406

Prediction of fire forest will be needing several parameters that located on the same location and on the same time frame. This is important to have data on the same location and same time periods, since forest fire mostly triggered by weather or temperature condition on certain area on the certain time. Since there are many parameters involved, the preprocessing will need to made the data have standard structure. The clustering process needed to give a label to the data with five class label, very low risk, low risk, medium risk, high risk, very high risk. Based on the data set, we measurement the best cluster number related with DB index, the results shows that 8 cluster is the best number of the data with DB Index score are 0.8856. © 2022 IEEE.

关键词： Fires

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The Use of Coagulant and Natural Soil to Control Cyanobacterial Blooms in a Tropical Reservoir

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SSRN 2024年

作者： Pinheiro, Thaís Lopes Becker, Vanessa da Cunha, Karina Patrícia Vieira Frota, André Monicelli, Fernanda Araújo, Fabiana Capelo-Neto, José Federal University of Ceará Department of Hydraulic and Environmental Engineering Block 713 Campus Pici Ceará Fortaleza Brazil Federal University of Rio Grande do Norte Postgraduate Program in Civil and Environmental Engineering Natal Brazil Federal University of Rio Grande do Norte Postgraduate Program in Ecology Natal Brazil

Cyanobacterial blooms have been a growing problem in water bodies and attracted attention from researcher and water companies worldwide. Different treatment methods have been researched and applied either inside water treatment plants or directily into reservoirs. We tested a combination of coagulants, polyaluminium chloride (PAC) and iron(III) chloride (FeCl3), and ballasts, luvisol (LUV) and planosol (PLAN), known as the ‘Floc and Sink’ technique, to remove positively buoyant cyanobacteria from a tropical reservoir water. Response Surface Methodology (RSM) based on Central Composite Design (CCD) was used to optimize the two reaction variables – coagulant dosage (x1) and ballast dosage (x2) to remove the response variables: chlorophyll-a, turbidity, true color, and organic matter. Results showed that the combination of LUV with PAC effectively reduced the concentration of the response variables, while PLAN was ineffective in removing cyanobacteria when combined to PAC or FeCl3. Furthermore, FeCl3 presented poorer floc formation and lower removal efficienty compared to PAC. This study may contribute to the theoretical and practical knowledge of the algal biomass removal for mitigating eutrophication trough different dosages of coagulants and ballasts. © 2024, The Authors. All rights reserved.

关键词： Chlorine compounds

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Bacterial Cellulose Films for Biodegradable Packaging with Essential Oils

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Macromolecular Symposia 2024年第6期413卷

作者： Teixeira, Stefani Regina Zibetti Garcia, Michele Cristina Formolo Silva, Denise Abati Kasper Kurek, Ana Paula Schneider, AndréaLima dosSantos Pezzin, Ana Paula Testa Postgraduate Program in Process Engineering University of the Joinville Region – UNIVILLE SC Joinville89219-710 Brazil Department of Chemical Engineering University of the Joinville Region – UNIVILLE SC Joinville89219-710 Brazil

Petrochemical polymers provide most packaging materials in the food industry and cause environmental problems due to their non-biodegradability. Developing biodegradable polymers with additives is a strategy, and bacterial cellulose (BC) presents favorable properties for this application. This work aims to evaluate the effect of essential oils (EOs) of clove, cinnamon, basil, and oregano as additives in BC matrix for application in food packaging. BC membranes are synthesized by the bacteria Komagataeibacter hansenii and incorporated into EOs using ethanol as a solvent. The membranes are characterized by fourier transform infrared spectroscopy (FTIR), thermogravimetric analysis (TGA), antibacterial activity, and soil biodegradation. Furthermore, the samples are also tested for their antifungal potential on the surface of bread slices. FTIR analyses confirm the incorporation of EOs into BC membranes. TGA analysis indicates a slight increase in thermal stability for the incorporated samples. All samples show antibacterial potential, except BC, incorporated with the essential basil oil. The fungal analysis is performed by visually evaluating the appearance of filamentous fungi on the surface of the bread pieces. Soil biodegradation tests demonstrate mass loss for all membranes. © 2024 Wiley-VCH GmbH.

关键词： Cellulose

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National Resilience Index Model and Public Policy Simulation 7

National Resilience Index Model and Public Policy Simulation

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7th International Conference on Computing, engineering and Design, ICCED 2021

作者： Daihani, Dadan Umar Trisakti University Strategic Postgraduate Program Department of Industrial Engineering Lemhannas RI United States

ISBN: (纸本)9781665439961

Indonesia is one of the world's most populous archipelagic countries. Approximately 270 million people live on a total of 17 845 islands that straddle the middle of the equator. Indonesia is also a multi-ethnic country, having 931 ethnic groupings and 731 distinct dialects. The globe and geopolitics tensions are highly dynamic in the current period of globalization, and changes in one state will influence other countries. As a consequence, changes in a state's strategic environment might have an impact on its stability. These surroundings' influence can have a good impact or improve internal stability, but it can also have negative consequences that endanger internal stability. A state's resilience is determined by the flexibility of all elements of its sociopolitical existence, which is referred to as national resilience. In general, national resilience is described as an organization's capacity to foresee, plan for, respond to, and adapt to gradual change and abrupt shocks in order to survive and thrive. The application of national resilience index measurement is created utilizing the GIS method to determine the state of national resilience. This system is extremely beneficial for undertaking a diagnostic of national resilience conditions and changes in each region at all times. By evaluating national resilience, various strategies may be developed to anticipate diverse environmental effects. This technology may also be used to forecast future situations and generate multiple scenarios for countermeasures using a dynamic system approach. © 2021 IEEE.

关键词： Geographic information systems

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Analysis of the Causal Effects of Bus Lanes on Performance Indicators of Public Transport Corridors

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SSRN 2024年

作者： De Brito-Filho, Francisco Nilso Oliveira-Neto, Francisco Moraes Postgraduate Program in Transportation Engineering Department of Transportation Engineering Federal University of Ceará UFC Campus do Pici Bloco 703 Ceara Fortaleza60440-900 Brazil

Bus lanes are frequently recommended in the literature to enhance transit efficiency. However, the improvements reported by transport agencies following bus-only lane interventions often lack rigorous evaluation using causal inference methods. This gap raises concerns about potential biases and the omission of relevant covariates that could influence the outcomes. Addressing these issues is crucial, particularly in understanding both the direct and indirect effects of bus lanes on operational indicators like speed and reliability, given the cyclic relationship between transit level of service and ridership. This paper therefore investigates the causal relationships between the determinants of public transport operations and examines how these factors are altered by bus lanes. We aim to estimate the direct and indirect causal effects of such interventions using a comprehensive approach that begins with the creation of a mental map outlining the key determinants affecting public transport demand and performance. This is followed by the development of a causal diagram to estimate the impact of bus lane interventions. To demonstrate the practical application of this approach, we conducted a case study assessing bus lane interventions in the transit corridors of Fortaleza, Brazil, using observational data from the system's operation. Our findings contribute methodologically and practically by offering transport planners and practitioners a framework for assessing bus lanes effects on bus speed and reliability, as well as understanding how these lanes can indirectly influence these outcomes through increased ridership, stressing the importance of rigorous policy evaluation in public transport planning. © 2024, The Authors. All rights reserved.

关键词： Mass transportation

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Evaluating an e-Learning Platform at Graduate School Based on User Experience Evaluation Technique 3

Evaluating an e-Learning Platform at Graduate School Based o...

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3rd International Conference on Electrical, Electronics, Informatics, and Vocational Education, ICE-ELINVO 2020

作者： Abubakari, M.S. Nurkhamid Hungilo, G. Department of Electronics Engineering Education Postgraduate Program Universitas Negeri Yogyakarta Indonesia Department of Informatics Engineering Graduate Program University Atma Jaya Yogyakarta Indonesia

This study was aimed to evaluate the e-learning platform in a graduate school by using User Experience Questionnaire (UEQ). The data were collected from 65 respondents and analyzed using an excel data analysis tool. The results indicate that all six scales of the instrument are consistent except the novelty scale. Also, the calculated means of the scales are slightly positive as all values are greater than 0.8 compared to the UEQ benchmark. Although the respondents show a little positive impression with the platform, all scales means are below average category except efficiency scale which is above average as compared to the benchmark. This indicates that the platform needs more improvement in all aspects of user experience for it to be at least in a good category. The findings discussed in this paper are valuable for all academic stakeholders in various educational institutions which implement interactive e-learning systems as well as practitioners of user experience and developers of e-learning systems. © 2021 Published under licence by IOP Publishing Ltd.

关键词： Learning systems

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