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9th IEEE International Conference on Computing, engineering and Design, ICCED 2023

作者： Asian, Jelita Putra, Oktavianus Tegar N.K. Ayu, Media Anugerah Mantoro, Teddy Nusa Putra University Postgraduate Program - School of Computer Science Sukabumi Indonesia Sampoerna University Faculty of Engineering and Technology Department of Computer Science Jakarta Indonesia

ISBN: (纸本)9798350370126

Currently, online Shopping platforms have grown significantly, especially during the COVID-19 pandemic. This condition motivates the need for analyzing how the users/customers' opinions on using such platform. Sentiment analysis, as a process of detecting, extracting, and classifying users' opinions and attitudes toward specific topics, is a good tool for the required analysis. This study aims to evaluate the performance of machine learning approach which combined with N-Gram technique in doing sentiment analysis. The dataset used in this study comes from scraping reviews in Bahasa Indonesia regarding the Shopee Apps. In this study, N=2 for the N-Gram was employed in the preprocessing process. Our main goal is to investigate whether the performance of machine learning in doing sentiment analysis can be improved by adding the N-Gram technique in its preprocessing. This work applied the Naive Bayes Classifier and k-Nearest Neighbor with K=11 as the machine learning algorithms. The best accuracy in this study was achieved by Naive Bayes Classifier after applying N-Gram Terms (N=2) with Split Validation (8:2), which is 97.26%. © 2023 IEEE.

关键词： Sentiment analysis

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PLA/jute fabric laminate composites: influence of weight percentage on mechanical properties and fracture behavior

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Discover Mechanical engineering 2025年第1期4卷 1-15页

作者： Cabrera, Fabian Luna Arellano, Mauricio Torres Franco-Urquiza, Edgar Adrian Center for Engineering and Industrial Development Interinstitutional Postgraduate Program in Science and Technology Av. Pie de la Cuesta 702-No. 702 Desarrollo San Pablo Queretaro 76125 Mexico Center for Engineering and Industrial Development Aerospace Carretera Estatal 200 Km 23 Queretaro 76270 Mexico

Polylactic acid (PLA) is a widely studied and characterized bio-based polymer with biodegradable characteristics. Its use in environmentally friendly composite laminates is a recent field of research. In this work, we prepared eco-friendly PLA/Jute laminate composites and PLA flat sheets of 2 mm thickness using compression molding. Various experiments were performed to obtain composite plates with excellent quality. However, the successful configuration was the interleaved arrangement of PLA pellets/Jute fabrics stacking/PLA pellets. Scanning electron microscopy observations revealed no voids or delaminations, so the PLA pellets adequately impregnated the jute fiber fabrics. The number of jute fiber layers strongly influenced the mechanical properties of PLA. The stiffness of the composites increased progressively up to 145% compared to neat PLA, with an inverse behaviour in ductility, which decreased up to 60% in the composite with four layers of jute fiber fabrics. The strength did not show a clear trend and was attributed to the weight fraction of PLA. When the weight fraction is predominantly PLA, fracture occurs due to the brittleness of PLA, but when the weight fraction is mainly jute fiber, the tensile strength increases, and fracture occurs due to fiber failure. In all cases, PLA and the composites showed brittle behaviour. The storage modulus was noticeably improved by the stiffness provided by the jute fiber fabric layers, even above the glass transition temperature, where the thermomechanical properties of PLA were inferior. The trend in fracture behaviour shown by PLA/Jute laminates is almost the same as that previously observed in the mechanical behaviour under tension, indicating that the weight fraction strongly influences the impact strength of PLA/Jute composites. The impact strength of PLA decreased by approximately 39% in PLA/Jute-2 composite but increased up to 9% in PLA/Jute-4 laminate. The fracture surface of PLA neat differs from that of PLA/J

关键词： Fracture behavior Green composites Jute fibers Mechanical properties PLA

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Bioactive whey peptides: a bibliometric and functional overview

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Discover Food 2025年第1期5卷 1-32页

作者： Sumny, Eduarda Heck Kempka, Aniela Pinto Department of Food Engineering and Chemical Engineering Postgraduate Program in Food Science and Technology Fernando de Noronha Street BR 282 Km 5737 SC Pinhalzinho Brazil Department of Food Engineering and Chemical Engineering Santa Catarina State University Fernando de Noronha Street BR 282 Km 573.5 Pinhalzinho SC Florianópolis89870-000 Brazil

The objective of this research was to examine bioactive peptides derived from whey, focusing on their functional properties and potential applications in food and therapeutics. The research began with a bibliometric analysis, mapping scientific progress and research trends related to these peptides, particularly in key areas such as antioxidant and antihypertensive activities. Subsequently, a systematic literature review was conducted to investigate extraction and purification methods, as well as the biological activities of whey peptides, including their ability to inhibit angiotensin-converting enzyme, modulate the immune system, and act as antimicrobial agents. The findings revealed that whey peptides, primarily obtained through the enzymatic hydrolysis of proteins such as lactalbumin and lactoglobulin, have a significant capacity to neutralize free radicals, thereby reducing oxidative stress, a key factor in preventing chronic diseases such as cardiovascular disorders and cancer. Additionally, there is increasing interest in incorporating these peptides into functional foods due to their health benefits beyond basic nutrition. The bibliometric analysis indicated that this research area is expanding rapidly, with the potential to influence the development of novel food products that integrate nutrition and therapeutic benefits. Advances in extraction technologies and applications of whey peptides could drive major innovations in food biotechnology, reinforcing the need for further research to fully explore the potential of these bioactive compounds. © The Author(s) 2025.

关键词： Diseases

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Assessment of groundwater quality from monitoring wells in an area occupied by a cemetery in South Brazil

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Arabian Journal of Geosciences 2024年第6期17卷 1-10页

作者： Fernandes, Gabriel D’ávila de Borba, Willian Fernando Vecchia, Paula Dalla Mortari, Sérgio Roberto Duarte, Fábio Andrei da Cunha Kemerich, Pedro Daniel de Souza, Éricklis Edson Boito da Silva, José Luiz Silvério Silva, Milene Priebe e da Silva, Mateus Guimarães Wissmann, Joao Pedro Berton Federal University of Santa Maria Postgraduate Program in Civil Engineering (PPGEC) Santa Maria Brazil Federal University of Santa Maria Department of Environmental Engineering and Technology Frederico Westphalen Brazil Federal University of Santa Maria Postgraduate Program in Chemistry Avenida Roraima Santa Maria Brazil Franciscana University Postgraduate Program in Nanosciences Santa Maria Brazil Federal University of Santa Maria Department of Chemistry Santa Maria Brazil Federal University of Santa Maria Department of Geosciences Santa Maria Brazil Federal University of Santa Maria Postgraduate Program in Forestry Engineering (PPGEF) Santa Maria Brazil Federal University of Santa Maria Postgraduate Program in Environmental Engineering (PPGEAmb) Santa Maria Brazil Federal University of Pampa Caçapava do Sul Brazil

The contamination of water resources, surface or underground, is one of the major problems society faces. Thus, areas occupied by cemeteries can negatively impact the environment, especially on water and soil quality. This research aims to analyze groundwater quality in a space occupied by a cemetery in southern Brazil. Twelve chemical elements were analyzed using atomic emission spectrometry with inductively coupled plasma coming from 5 monitoring wells installed in the study area. The results indicated changes in the elements barium, iron, lithium, manganese, sodium, and zinc, with climatic conditions being a predominant factor in the variation of concentrations. The chemical elements aluminum, arsenic, cadmium, cobalt, chromium, copper, nickel, lead, and vanadium presented concentrations lower than the quantification limit of the method. The concentrations of iron, lithium, zinc, and manganese varied from lower than the quantification limit of the method to 74.10, 3.91, 4.11 µg.L-1, and 0.45 mg. L-1, respectively. Barium and sodium varied from 0.12 to 0.28 and 7.55 to 40.18 mg. L-1, respectively. The element sodium presented average concentrations of 7.55 to 40.18 mg.L-1. The element manganese varies the LQ at 0.45 mg.L-1, where in 5 samples, the values were above those allowed for potability, indicating that it disagrees with current legislation. The others, which contained detectable concentrations in the medium (Ba, Fe, Li, Mn, Na, and Zn) would be within the permitted limits. Based on this, it was possible to conclude a change in the chemical elements during the analyzed period. Thus, the importance of preliminary studies in the areas occupied by necropolises, which can become a public health problem, is highlighted.

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An Indoor Localization Technique Based on Visible Light Communication 1

An Indoor Localization Technique Based on Visible Light Comm...

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1st IEEE Industrial Electronics Society Annual On-Line Conference, ONCON 2022

作者： Nascimento, Mateus Rabelo Fonseca Do Coutinho, Olange Guerson Goncalves Olivi, Leonardo Rocha Soares, Guilherme Marcio Electrical Engineering Postgraduate Program Juiz de Fora Brazil Electrical Engineering Graduate Program Juiz de Fora Brazil Department of Electric Power Juiz de Fora Brazil

ISBN: (纸本)9798350398069

This paper proposes a technique for indoor localization based on a visible light positioning approach. The strategy relies on using lighting luminaires that modulate the luminous flux at different frequencies. A light sensor is then used to gather the illuminance signal used as input for a previously trained Artificial Neural Network (ANN) to estimate the position of the sensor. The work's main contribution is using an illuminance estimator based on the lighting distribution of the luminaires to perform the training procedure of the ANN. The lighting distribution is obtained through *** file provided by the manufacturer, i.e., the same file used for lighting designs. Therefore, by using characteristics of the environment and *** file, the proposed system can provide data to train accurately the ANN used in the positioning method. The results attested to the satisfactory performance of the proposed localization technique as it produced mean distance errors of 1.51cm and 0.79cm considering 0% and 70% walls' reflectance levels, respectively. © 2022 IEEE.

关键词： Neural networks

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Proposition of water meter for buildings based on a thin-film resistive sensor: Electromechanical and thermal characterizations 11

Proposition of water meter for buildings based on a thin-fil...

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11th Brazilian Congress on Metrology, Metrologia 2021

作者： Gonçalves, L.S. Medeiros, K.A.R. Barbosa, C.R.H. Pontifical Catholic University of Rio de Janeiro Postgraduate Program Department of Chemical and Materials Engineering Rio de Janeiro Brazil Pontifical Catholic University of Rio de Janeiro Mechanical Engineering Department Optical Fiber Sensors Laboratory Rio de Janeiro Brazil Pontifical Catholic University of Rio de Janeiro Postgraduate Program in Metrology Rio de Janeiro Brazil

Notoriously, measurement proves to be essential to encourage water conservation. Thus, this work characterizes two thin-film resistive sensors (bend sensors) with different coatings aiming at their application to measure water consumption. For this, the individual water measurement system is presented and discussed briefly. Then, resistive sensor parameters and operating principles are detailed, as well as the mathematical formulation of the correlation of the sensor resistance with the flow velocity. Methodologically, the system developed for the electromechanical and thermal characterization of the sensor is presented. The results allowed obtaining a quadratic relationship between the sensor deflection angle and the resistance. Furthermore, it was observed that the polyester-coated sensor presented a low hysteresis value when subjected to temperature variation, obtaining a negative linear relationship between the sensor resistance and temperature. In turn, the polyimide-coated sensor did not show low hysteresis when exposed to temperature change and flexed at 50° and 70° angles. Finally, it is proposed for future work computer simulations and experimental tests to confirm the applicability of the sensor for water measurement. © Published under licence by IOP Publishing Ltd.

关键词： Water conservation

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Data Pipeline Framework for AIS Data Processing 7

Data Pipeline Framework for AIS Data Processing

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7th International Conference on Informatics and Computing, ICIC 2022

作者： Krismentari, Ni Kadek Bumi Widyantara, I Made Oka Er, Ngurah Indra Asana, I Made Dwi Putra Hartawan, I Putu Noven Sudiantara, I Gede Postgraduate Program of Electrical Engineeringm Udayana University Denpasar Indonesia Udayana University Electrical Engineering Deparment Denpasar Indonesia Doctoral Program of Engineering Science Udayana University Denpasar Indonesia

ISBN: (纸本)9798350345711

Automatic Identification System (AIS) data contains static and dynamic information for identification, tracking, and collision avoidance of vessels, as well as management of maritime activities. In the utilization of AIS data, a data pipeline framework is needed which includes the process of capturing messages, translating messages, detecting data corruption, cleaning damaged data, reconstructing trajectories, visualizing data, and storing data for analysis needs. Usually, the analysis and storage of AIS data are done offline which makes it not conducive to understanding vessel dynamics. In addition, large AIS data contains incomplete and noisy information that affects the quality of the trajectory. In this context, this article has proposed an AIS data pipeline framework in the form of pre-processing and real-time trajectory reconstruction. Pre-processing is intended to eliminate data anomalies caused by transmission errors. While the trajectory reconstruction process to overcome missing values due to noise is based on the Cubic Spline interpolation technique. All processes in the data pipeline framework are streamed using Apache Kafka. The simulation results show that the proposed AIS data pipelines framework has succeeded in visualizing the data flow in the form of a map application and trajectory reconstruction in real-time. © 2022 IEEE.

关键词： Trajectories

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A Novel Adaptive Actor-Critic Reinforcement Learning Controller for Constrained Robots 25

A Novel Adaptive Actor-Critic Reinforcement Learning Control...

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2022 IEEE International Conference on Automation/25th Congress of the Chilean Association of Automatic Control, ICA-ACCA 2022

作者： Pantoja-Garcia, Luis Garcia-Rodriguez, Rodolfo Parra-Vega, Vicente Robotics and Advanced Manufacturing Department Coah Saltillo25900 Mexico Universidad Politecnica Metropolitana de Hidalgo Aeronautical Engineering Program and Postgraduate Program in Aerospacial Engineering Tolcayuca43860 Mexico

ISBN: (纸本)9781665494083

Force-position control for robot manipulators has become a basic control regime for advanced applications such as interaction or cooperative tasks that imply contact to environment or external object. Thus, for many applications environmental information is evaluated continuously to generate adequate control actions to complete the task. There has been proposed techniques such as adaptive or intelligent control to cover some of these requirements, however it seems insufficient given the uncertainty involved when dealing with the environment. The emergence of deep learning has recently renewed interest in these tasks from the perspective of reinforcement learning algorithms. In this paper, an actor-critic scheme is proposed for simultaneous control of contact force and joint positions while moving along an environmental rigid surface. The critic stage evaluates information of the environment through an extended error manifold, trying to minimize the cumulative future rewards by a neural network. The actor stage, which receives environment information from the critic stage, is used to approximate inverse robot dynamics. Together with two continuous orthogonal sliding PID controllers gives rise to simultaneous tracking of position and force, with stability analysis. Numerical simulations show the performance of the proposed approach under several conditions. © 2022 IEEE.

关键词： Reinforcement learning

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Electronic Control System for the Left Ventricular Assistance Device

Electronic Control System for the Left Ventricular Assistanc...

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Electrics and Computer (INTCEC), Interdisciplinary Conference on

作者： Mohd Hasan Cristiano Akamine Postgraduate Program in Electrical and Computer Engineering Mackenzie Presbyterian University Sao Paulo Brazil

ISBN: (数字)9798350349450

ISBN: (纸本)9798350349467

The number of heart transplants is constantly increasing. Each year, it grows by around 60% due to the health problems plaguing the world's population. Furthermore, the lack of available transplanted organs and the waiting list greatly increases and can last for years. All these reasons make it increasingly difficult to get a heart transplant. Solutions such as artificial organs are gaining more and more prominence and are in great demand. Considering the advancement of science and technology, new research shows great hope in prolonging and improving the quality of life for many patients. Among these researches is the Left Ventricular Assist Device (LVAD), which uses auxiliary pumps along with the natural heart of the person, allowing a longer waiting time in the transplant queue and giving a quality of life. This work aims to implement autonomous electronic control over this device, allowing autonomous speed control over the pump motor. This method gives patients better control and greater freedom to practice their daily lives. Another important reason is the economic factor, which aims to reduce costs and allow greater popular reach. In this work, the tests were carried out on only the Brushless Direct Current Motor (BLDC). The results are demonstrated in numerical and graphic form for better illustration.

关键词： Graphics Costs Brushless DC motors Velocity control Sociology Heart transplantation Motors

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Monitoring the Health of Heart Failure Patients Using an Artificial Heart

Monitoring the Health of Heart Failure Patients Using an Art...

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Electrics and Computer (INTCEC), Interdisciplinary Conference on

作者： Ezequiel Muxito Cristiano Akamine Postgraduate Program in Electrical and Computer Engineering Mackenzie Presbyterian University Sao Paulo Brazil

ISBN: (数字)9798350349450

ISBN: (纸本)9798350349467

The integration of technology into the healthcare system is emerging as a tool to support professionals in the treatment of Heart Failure (HF), and is based on an analysis of the scientific and technological progress of the Internet of Things, applied as an innovative perspective in Health 4.0. This article presents a study that proposes to develop an innovative prototype Left Ventricular Assist Device (artificial heart). The main focus is on advanced sensing, connectivity via mobile network and remote supervision support, aimed at the operation and diagnosis of patients affected by HF. The project incorporates advanced data collection, processing, and analysis tools using Big Data and Data Analytics concepts. The motivation for this work is the search for technological innovation as support for medical science and the contribution to the Unified Health System. The prototype includes a microcontroller, a heartbeat sensor, an accelerometer sensor to collect movement, acceleration and fall detection data, a mobile network module to transmit the data and create an electronic medical record. This article highlights the initial phase, which includes preliminary results such as configuring the module and components, collecting data using heartbeat and movement sensors, storing the data in MongoDB and visualizing it in Jupyter Notebook.

关键词： Artificial heart Technological innovation Heart beat Prototypes Sensors Cardiovascular diseases Public healthcare

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