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Spark Plasma Sintering Using Shuri Castle Breakage Roof Tile Powder

Funtai Oyobi Fummatsu Yakin/Journal of the Japan Society of Powder and Powder Metallurgy 2023年第3期70卷 145-152页

作者： Kanda, Yasuyuki Mechanical Engineering Program School of Engineering Faculty of Engineering University of the Ryukyus 1 Senbaru Nishihara-cho Nakagami-gun Okinawa903-0213 Japan

This report investigated the spark plasma sintering (SPS) of Shuri castle breakage roof tile powder for the effective utilization of the Shuri castle breakage roof tiles. First, we examined the fundamental characteristics of Shuri castle breakage roof tiles. The chemical composition of broken roof tiles mainly comprises SiO2. Scanning electron microscopy analysis revealed the dispersion of quartz lumps in the inner structure. Additionally, the density of the broken roof tile was 2.43 g/cm3, and the open porosity was 17.9%, the Vickers hardness (HV) was 87.5 at the matrix side and 1200 at the quartz lump, and the flexural strength was 15.7 MPa. Meanwhile, the fundamental characteristics of the SPS compact formed using breakage roof tile powder comprised a density of 2.68 g/cm3, an open porosity of approximately 0%, an HV of 259, a flexural strength of 105 MPa, and a flexural modulus of 83.1 GPa at a sintering temperature of 1323 K. The formation of magnetite was confirmed via X-ray diffraction patterns of the sintered products;however, the crystalline phases were almost identical to those of the broken roof tile powders. ©2023 Japan Society of Powder and Powder Metallurgy.

关键词： Spark plasma sintering

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The Effectiveness of Tubular Ceramic Membrane Made from Seashell and Clay for Groundwater Filtration 2

The Effectiveness of Tubular Ceramic Membrane Made from Seas...

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2nd International Conference on Physics and Applied Physics, ICP and AP 2023

作者： Nisah, Firda Ainun Suci, Faradina Choria Safariyani, Eva Febriyani, Putri Wahid, Taufik Nur Sena, Mochamad Rafi Industrial Engineering Program Faculty of Engineering Universitas Singaperbangsa Karawang West Java Karawang41361 Indonesia Mechanical Engineering Program Faculty of Engineering Universitas Singaperbangsa Karawang West Java Karawang41361 Indonesia

The Karawang Regency is located on the coast and is the largest industrial area in West Java. However, this has led to groundwater seepage issues that cause the water to taste salty and cause yellow stains. To solve these issues, a study was conducted to filter the groundwater using tubular ceramic membranes. This study created tubular ceramic membranes using three different composition;Clay:Seashell = 60%:30% (CM-1);45%:45% (CM-2);30%:60% (CM-3);and 10% zeolite. The ceramic membranes were sintered at 1000°C for 10 hours. The research aimed to analyze how different compositions of ceramic membrane materials affected the efficiency of reducing pH, manganese, Total Dissolved Solids, salinity, and hardness. This ceramic membrane has a good effectiveness level completed with the best tubular ceramic membrane variant in reducing water pH levels being CM-1 (7.2-7.5), CM-1 is the best reduction of TDS by 284.66 mg/L, CM-2 is the best reduction of Mn metal by 0.235 mg/L, CM-3 is the best reduction in hardness by 84.333 ppm, and CM-1 is the best reduction in salinity by 108 ppm. © Published under licence by IOP Publishing Ltd.

关键词： Ceramic membranes

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2,5-Dimercapto-1,3,4-Thiadiazole(DMCT)-Based Polymers for Rechargeable Metal-Sulfur Batteries

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Energy & Environmental Materials 2023年第6期6卷 283-290页

作者： Amruth Bhargav Arumugam Manthiram Materials Science and Engineering Program&Texas Materials Institute The University of Texas at AustinAustin Texas 78712USA

Organosulfur materials are a sustainable alternative to the present-day layered oxide cathodes in lithium-based *** such organosulfur material that was intensely explored from the 1990s to early 2010s is 2,5-dimercapto-1,3,4-thiadiazole(DMCT).However,research interest declined as the electrode reactions with DMCT were assumed to be too sluggish to be *** with the advances in metal-sulfur batteries,we revisit DMCT-based materials in the form of poly[tetrathio-2,5-(1,3,4-thiadiazole)],referred to as *** an appropriate choice of electrode design and electrolyte,pDMCT-S cathode paired with a Li-metal anode shows a capacity of 715 mA h g^(-1)and a Coulombic efficiency of 97.7%at a C/10 rate,thus quelling the concerns of sluggish ***,pDMCT-S shows significantly improved long-term cyclability compared to a sulfur *** into the origin of the stability reveals that the discharge product Li-DMCT in its mesomeric form can strongly bind to polysulfides,preventing their dissolution into the electrolyte and *** unique mechanism solves a critical problem faced by sulfur ***,this mechanism results in a stable performance of pDMCT-S with Na-metal cells as *** study opens the potential for exploring other organic materials that have inherent polysulfide sequestering capabilities,enabling long-life metal-sulfur batteries.

关键词： 2,5-dimercapto-1,3,4-thiadiazole electrochemistry metal-sulfur batteries organopolysulfide organosulfur batteries

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Android-Based Application for Ripeness Classification and Shelf-Life Determination of Philippine Bananas 2

Android-Based Application for Ripeness Classification and Sh...

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2nd International Conference on Computer Graphics and Image Processing, CGIP 2024

作者： Lumpay, Fernandrigo R. Canoy, Jon Waldson T. Caballero, Ryu Mhar A. Nepa, Kimberly M. College of Engineering Education University of Mindanao Computer Engineering Program Davao City Philippines

ISBN: (纸本)9798350374186

Lauded as the world's most popular fruit, bananas are one of the main exports of the Philippines. It contains essential nutrients that can have a protective impact on health. Commonly, farmers can distinguish the different types of bananas and potentially predict their shelf-life. Nevertheless, human judgment is not always reliable. It needs to have support and evidence to minimize the margin of error. Hence, this study focuses on developing an android application to determine the Philippine bananas' ripeness, variety, and shelf-life. This application identifies different bananas sold in the local market, specifically Cardava, Lakatan, and Latundan. Also, the application determines the shelf-life of bananas, such as the remaining days for unripe bananas to become ripe and ripe bananas to overripe. A Convolution Neural Network-based (CNN) model classifier is used as an architecture categorizing the Philippine local market bananas. The proponents used real-life image data to increase the accuracy of the CNN model. The application was proven effective and has reached 90% accuracy. © 2024 IEEE.

关键词： Machine learning

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Micro-electrode array (MEA) electrophysiological signal analysis by descriptive stochastic tests of the probability density structure

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Research on Biomedical engineering 2025年第2期41卷 1-13页

作者： Faria, Vinícius Naves Rezende Ramos, Marina Abadia Martinoia, Sérgio Destro-Filho, João-Batista Postgraduate Program in Electrical Engineering Universidade Federal de MG Uberlândia Brazil Postgraduate Program in Biomedical Sciences Universidade Federal de MG Uberlândia Brazil Division of Informatics Bioengineering Robotics and System Engineering Università Degli Studi Di Genova Genova Italy

Purpose: The primary objective of this study is to present, analyze, and quantitatively characterize the electrical signals obtained from neuronal cultures coupled to micro-electrode arrays (MEAs). Special attention is given to the temporal evolution of electrical activity across distinct geometric regions of the MEA devices. Methods: The proposed methodology involves signal acquisition, classical analysis based on spike and burst detection, and, critically, the characterization of the probability density structure of the signals. This is achieved through the quantification of Gaussianity—expressed as the percentage of segments non-Gaussian (PSNG)—and stationarity— expressed as the percentage of segments non-stationary (PSNE). Results: Initial analyses showed that first-order power spectral density quantifiers lacked the statistical robustness required to effectively describe the complex components of MEA signals. In contrast, PSNG and PSNE demonstrated strong potential in capturing the different stages of neuronal culture development. Cluster analysis further supported the discriminative capacity of these quantifiers. Conclusion: The phase corresponding to decreased neuronal activity and onset of cell death—a biologically critical stage—exhibited the strongest correlation among the studied variables. These results suggest a discernible biological organization and highlight the relevance of PSNG and PSNE as promising tools for assessing neuronal culture dynamics. © The Author(s), under exclusive licence to The Brazilian Society of Biomedical engineering 2025.

关键词： Cell death

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Hand Gesture Classifier Using Edge Artificial Intelligence

Hand Gesture Classifier Using Edge Artificial Intelligence

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2024 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2024

作者： Bautista Cifuentes, Juan Camilo Marin Patino, Sergio Andres Mahecha, Esteban Morales Alberto Chaparro, Javier Colombian School of Engineering Julio Garavito University Electronics Engineering Program Bogotá Colombia

ISBN: (纸本)9798350374575

This document presents the development of an edge artificial intelligence application for hand gesture recognition using an Inertial Measurement Unit (IMU) LSM9DS1. The study aimed to differentiate between four specific hand gestures: upward movement for forward, downward movement for stop, leftward movement for turn left, and rightward movement for turn right. Such gesture recognition systems can be crucial in enhancing human-computer interaction, enabling more intuitive control mechanisms for various applications, including assistive technologies for people with disabilities and innovative user interfaces for smart devices. The IMU was integrated into an Arduino Nano 33 BLE Sense board to capture acceleration and gyroscope values in three Cartesian axes (X, Y, Z) as a reference point. A dataset was created with 150 repetitions of each gesture, totaling 450 repetitions per gesture, involving all group members as test subjects. Data collection was facilitated using the Arduino IDE and a specialized library for the IMU, with data migration to an Excel spreadsheet for analysis. The accelerometer and gyroscope signals were analyzed, characterized by the variance in a time window of 0.2 seconds without overlap. The following methods were evaluated: K-Nearest Neighbors (KNN), Naive Bayes Gaussian (NBG), Logistic Regression (LR), Decision Tree (DT), Random Forest (RF), Support Vector Machines (SVM), and Multilayer Perceptron (MLP). The best performance was achieved by the Bayesian classifier, which was implemented in the 33BLEsense SoC. The results demonstrated the circuit's effectiveness in accurately recognizing and differentiating between the four gestures, using less than 10% of program memory and maintaining low computational consumption. © 2024 IEEE.

关键词： Decision trees

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An Analytical Network Process (ANP) Model for Choosing Optimal Public–Private Partnership (PPP) Contract Types for Infrastructure Projects 5th

An Analytical Network Process (ANP) Model for Choosing Optim...

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5th International Conference on Civil engineering and Architecture, ICCEA 2022

作者： Zaw, Su Lae Yee Likhitruangsilp, Veerasak Construction Engineering and Management Program Department of Civil Engineering Chulalongkorn University Bangkok Thailand

ISBN: (纸本)9789819940486

With the rapid social and economic development, a great deal of expenditure is crucial for the nation’s infrastructure development. Nevertheless, the governments of many developing nations have been experienced with the limited budget and technical inability to deliver effective public infrastructures. Public–private partnership (PPP) has been adopted as an alternative collaboration arrangement between the government and the private sector in many nations to overcome these challenges. PPP can be defined as a long-term contract between a public agency and a private entity for rendering public facilities, including design, construct, finance, operate, and manage the project. The PPP contract types can be classified by various factors. Different PPP options imply different levels of responsibility and risks to be assumed by the private operator. Deciding an appropriate PPP contact type is always a risk-taking task for the government. This decision-making depends upon several criteria, which directly contribute to project success. This paper proposes a multi-criteria decision-making model based on analytical network process (ANP). The proposed model can be employed to choose a PPP contract type that optimizes important criteria. The main input of the model is the priorities (weights) of the PPP contracts selection criteria, which are obtained from a series of questionnaire surveys. The model is applied to an actual PPP project for verification. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Risk perception

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Development of a System for Measuring Surface Slope with Point Cloud Data 5th

Development of a System for Measuring Surface Slope with Poi...

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5th International Conference on Civil engineering and Architecture, ICCEA 2022

作者： Peansupap, Vachara May, Aye Myint Department of Civil Engineering Construction Engineering and Management Program Chulalongkorn University Bangkok Thailand

ISBN: (纸本)9789819940486

The article explored the development of a surface slope measurement system using 3D point cloud data. The floor slope condition is important for the residential building floor quality inspection. Insufficient slope can lead to surface deterioration and water pocket formation. Current slope measurement in floor quality inspection has problems: time-consuming because of the forming log for each elevation point to calculate, random area points are chosen to measure, and the result did not cover the whole floor area, the tools used in the conventional methods can produce the close result not the exact result for the floor area. The aim of the research is the developed a system that can be used as an assistant tool in floor slope inspection with 3D point cloud data so that the calculation can be applied to all areas of the floor. 3D point cloud data can be collected using a FARO 3D laser scanner and execution of the system from acquired data will be performed in MATLAB. The system produces the slope value of the inspected room as well as the direction of the slope to decide the correct direction of the drainage of the floor which is important to access the bathroom or balcony in the residential building. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Floors

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Characteristics of Lantung Fiber and the Effect of Alkali Treatment and Water Absorption on the Mechanical Properties of Lantung Fiber Reinforced Composites

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Jordan Journal of Mechanical and Industrial engineering 2025年第2期19卷 469-478页

作者： Hestiawan, Hendri Zuliantoni Supardi, NurulIman Sudibyo Study Program of Mechanical Engineering Faculty of Engineering University of Bengkulu Bengkulu38112 Indonesia Research Unit for Mineral Technology National Research and Innovation Agency Lampung35361 Indonesia

This study aims to investigate the effect of alkali treatment and water absorption on the mechanical properties of composites reinforced with lantung fibers. Lantung fibers were alkali-treated for one and two hours at room temperature using 4% and 6% sodium hydroxide solutions. Composite samples reinforced with lantung fibers were prepared by the hand lay-up method. The composite samples were soaked in distilled water at 60°C for 1080 hours or 45 days. All samples were subjected to tensile tests, flexural tests, and impact tests based on ASTM D638-02, D790-02, and D5942-96 standards. Alkali treatment was proven to be effective in improving the mechanical properties of lantung fiber reinforced composites. Lantung fibers soaked in 4% sodium hydroxide solution for 2 hours gave the highest mechanical properties. The initial absorption process of lantung fiber reinforced composites soaked in distilled water at 60°C was found to approach the Fickian diffusion behavior. Following an hour-long immersion in a 6% sodium hydroxide solution, lantung fibers had the lowest diffusion coefficient of 9.15x10-12 m2/s and the highest water content of 4.89%. The mechanical properties of lantung fiber reinforced composites showed insignificant decrease in impact, flexural, and tensile strength after water absorption so that lantung fiber is recommended for use in wet environmental conditions. © 2025 Jordan Journal of Mechanical and Industrial engineering. All rights reserved

关键词： Tensile strength

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Effects of Wall Angle between Small Strip Areas by Using Point Cloud Data 5th

Effects of Wall Angle between Small Strip Areas by Using Poi...

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5th International Conference on Civil engineering and Architecture, ICCEA 2022

作者： Peansupap, Vachara Theint, Khine Zin Zin Construction Engineering and Management Program Department of Civil Engineering Chulalongkorn University Bangkok Thailand

ISBN: (纸本)9789819940486

Floors, walls, and ceilings in building construction projects are essential to inspect for checking the quality. The internal wall inspection mainly includes evaluation criteria, measuring techniques, and evaluation items. Traditionally, measuring the right angles between two walls has only been done visually or with a traditional ruler approach, which takes a lot of time. This paper applies point cloud technology to analyze the evaluation of the angles with the use of the MATLAB programming platform. In contrast to the conventional approach, the tools that are typically used to identify the angles include an L-squared ruler that is 30 and 50 cm long. Therefore, this research focus is on the comparison of angle measurement from the full point cloud and partial point cloud (strip model). This research was mainly conducted in two approaches. Firstly, to evaluate the angle between the walls and floors by using the MSAC algorithm with full plane model input and then the second approach automatically cuts the input model again into smaller sizes and then measures its angle. Then the full model and the cut model are compared to check the effect of the angle results depending on the plane size. This research also attempted to examine the distance effect on the laser scanner between the wall and the scanner for extended analysis. From the analysis result, the proposed conceptual framework can be used to check the angle values by automatically cutting the full plane model and their effect on the different distances. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Floors

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