Investigation Of The Effect Of Corundum Layer On The Heat Transfer Of Sic Slab,
2022
University of Indonesia
Investigation Of The Effect Of Corundum Layer On The Heat Transfer Of Sic Slab, Sri Elsa Fatmi, Donanta Dhaneswara, Muhammad Anis, Ahmad Ashari
Journal of Materials Exploration and Findings
Aluminum is the most widely used metal in industry. Aluminum smelting is one of the important steps that needs to be carried out to produce products made of aluminum metal with good quality. In the process of smelting aluminum there are several problems that occur, one of which is the growth of corundum in Si C refractories which affects the quality of aluminum melt and the durability of Si C refractories. This research was conducted to see the heat transfer in Si C and the effect of the presence of Corundum on heat transfer. This research was carried out by …
Dynamic Rbi With Central Difference Method Approach In Calculation Of Uniform Corrosion Rate: A Casestudy On Gas Pipelines,
2022
Departemen Metalurgi dan Material, Fakultas Teknik, Universitas Indonesia, Depok 16424, Indonesia
Dynamic Rbi With Central Difference Method Approach In Calculation Of Uniform Corrosion Rate: A Casestudy On Gas Pipelines, M.Riefqi Dwi Alviansyah, Fernanda Hartoyo, Zahra Nadia Nurullia, Ari Kurniawan
Journal of Materials Exploration and Findings
The oil and gas industry generally uses a piping system to drain fluids. Even though the pipes used have been well designed, the use of pipes as a means of fluid transportation still provides the possibility of failure that can occur at any time, one of which is due to uniform corrosion. The use of standard Risk Based Inspection (RBI) according to the API RBI 581 document has been widely used to anticipate potential failures to pipe components. The use of standard RBI can reduce the risk of failure significantly. Because the standard RBI considers the component risk value to …
Influence Of Emotional Intelligence And Leadership Behavior In The Construction Industry.,
2022
Harrisburg University of Science and Technology
Influence Of Emotional Intelligence And Leadership Behavior In The Construction Industry., Zeeshan Akther Mohammed
Harrisburg University Dissertations and Theses
This thesis explores the relationship between emotional intelligence (EI), work engagement, and project success among mid-level management in the construction industry. Multiple sources, including journals and research papers, were examined to establish the importance of EI and its impact on work engagement. The study aims to provide a comprehensive understanding of EI and its influence on the work engagement of mid-level employees. The findings highlight the correlation between EI and work engagement, quantifying the threshold of EI required for optimal contribution to organizational success. The research questions address the relationship between EI and work engagement in the construction industry, as …
Scientists And Activists Work To Save The Planet,
2022
Craig Newmark Graduate School of Journalism
Scientists And Activists Work To Save The Planet, Myriam G. Vidal Valero
Capstones
Climate change and human intervention in nature are affecting people, ecosystems and ways of living all over the world. This portfolio of environmental pieces showcases the dire consequences of not addressing these issues, how solutions can be reached and the challenges facing those who try to change things.
Making In Media Education: An Activity-Oriented Approach To Digital Literacy,
2022
Ludwigsburg University of Education & Centre for Educational Technology (FTzM), Frankfurt/Main, Germany
Making In Media Education: An Activity-Oriented Approach To Digital Literacy, Thomas Knaus
Journal of Media Literacy Education
Why is maker education a suitable approach for giving learners the 21st century skills they need to cope with the digital transformation? This article provides an answer and represents a defense of maker education in the field of educational science. Taking a human-media-machine interaction model as the basis for discussion, this article highlights the growing importance of digital technology as well as technological principles for human communication and interaction. Communication technology and the influence of technology on culture and society require a broad understanding of media literacy in the sense of digital literacy. By broadening the theoretical basis of media …
Congestion Based Truck Drone Intermodal Delivery Optimization,
2022
Mississippi State University
Congestion Based Truck Drone Intermodal Delivery Optimization, Ankith Thodupunoori
Theses and Dissertations
Commerce companies have experienced a rise in the number of parcels that need to be delivered each day. The goal of this study is to provide a decision-making procedure to assist carriers in taking a more significant role in selecting cost and risk-efficient truck-drone intermodal delivery routing plan. The congestion-based model is developed to select the method of parcel delivery utilizing a truck and a drone for optimizing cost and time. A study also has been conducted to compare drone-only and truck-only delivery routing plan. The proposed A* Heuristic algorithm and the OSRM application generate the travel path for drone …
Stable Numerical Methodology For Variational Inequalities With Application In Quantitative Finance And Computational Mechanics,
2022
Mississippi State University
Stable Numerical Methodology For Variational Inequalities With Application In Quantitative Finance And Computational Mechanics, Davood Damircheli
Theses and Dissertations
Coercivity is a characteristic property of the bilinear term in a weak form of a partial differential equation in both infinite space and the corresponding finite space utilized by a numerical scheme. This concept implies \textit{stability} and \textit{well-posedness} of the weak form in both the exact solution and the numerical solution. In fact, the loss of this property especially in finite dimension cases leads to instability of the numerical scheme. This phenomenon occurs in three major families of problems consisting of advection-diffusion equation with dominant advection term, elastic analysis of very thin beams, and associated plasticity and non-associated plasticity problems. …
Predicting Geotechnical Parameters From Seismic Wave Velocity Using Artificial Neural Networks,
2022
University of Mississippi
Predicting Geotechnical Parameters From Seismic Wave Velocity Using Artificial Neural Networks, Fatema Tuz Johora, Craig J. Hickey, Hakan Yasarer
Faculty and Student Publications
Geotechnical investigation plays an indispensable role in site characterization and provides necessary data for various construction projects. However, geotechnical measurements are time-consuming, point-based, and invasive. Non-destructive geophysical measurements (seismic wave velocity) can complement geotechnical measurements to save project money and time. However, correlations between geotechnical and seismic wave velocity are crucial in order to maximize the benefit of geophysical information. In this work, artificial neural networks (ANNs) models are developed to forecast geotechnical parameters from seismic wave velocity. Specifically, published seismic wave velocity, liquid limit, plastic limit, water content, and dry density from field and laboratory measurements are used to …
Novel Techniques For Quantifying Secondhand Smoke Diffusion Into Children's Bedroom,
2022
Chapman University
Novel Techniques For Quantifying Secondhand Smoke Diffusion Into Children's Bedroom, Sunil Ramchandani
Computational and Data Sciences (PhD) Dissertations
The impact of secondhand smoking to health of general population, and specifically children, is a well-known phenomenon that researchers have studied for years. In this dissertation, I extend work done within a secondhand smoke intervention to understand and quantity the impact of intervention on flow of smoke air particle concentration from the main room where smoking generates air particle contamination to a room where a child living in the home sleeps. The paper also explores potential modelling techniques to proactively identify and the impact of the smoke air particles with the intent to discourage adults from smoking in the home …
Sam's Story,
2022
California Polytechnic State University, San Luis Obispo
Sam's Story, Anna Michelle Reid, Jennifer Vazquez
Computer Science and Software Engineering
We are exploring presenting mental health topics in video games through the eyes of an axolotl named Sam. Sam goes about his day to day life facing many difficult challenges regarding their mental health. This is an educational game to inform about different mental health symptoms and what they may look like.
Wildfire Spread Prediction Using Attention Mechanisms In U-Net,
2022
Calpoly
Wildfire Spread Prediction Using Attention Mechanisms In U-Net, Kamen Haresh Shah, Kamen Haresh Shah
Master's Theses
An investigation into using attention mechanisms for better feature extraction in wildfire spread prediction models. This research examines the U-net architecture to achieve image segmentation, a process that partitions images by classifying pixels into one of two classes. The deep learning models explored in this research integrate modern deep learning architectures, and techniques used to optimize them. The models are trained on 12 distinct observational variables derived from the Google Earth Engine catalog. Evaluation is conducted with accuracy, Dice coefficient score, ROC-AUC, and F1-score. This research concludes that when augmenting U-net with attention mechanisms, the attention component improves feature suppression …
Mango Surface Color Features Measurement Using Digital Image Processing,
2022
University of Nebraska-Lincoln
Mango Surface Color Features Measurement Using Digital Image Processing, Md Towfiqur Rahman, Goutom Kumar, Md Abdul Momin
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Summary
Postharvest processing of agricultural produce is still done the conventional way in Bangladesh. Manual grading of agricultural produce, especially fruits and vegetables, is laborious and costly due to acute shortage of labor during the peak season, as well as difficulty maintaining the product quality. Machine vision system (MVS) applications are widely used nowadays as a non-destructive and cost-effective technology for automatically grading and sorting large volumes of produce in the packing house according to size, shape, color, texture, and surface defects. In this study, a simple MVS was constructed measuring different color features of mango fruit surface as a …
Panodepth – Panoramic Monocular Depth Perception Model And Framework,
2022
California Polytechnic State University, San Luis Obispo
Panodepth – Panoramic Monocular Depth Perception Model And Framework, Adley K. Wong
Master's Theses
Depth perception has become a heavily researched area as companies and researchers are striving towards the development of self-driving cars. Self-driving cars rely on perceiving the surrounding area, which heavily depends on technology capable of providing the system with depth perception capabilities. In this paper, we explore developing a single camera (monocular) depth prediction model that is trained on panoramic depth images. Our model makes novel use of transfer learning efficient encoder models, pre-training on a larger dataset of flat depth images, and optimizing the model for use with a Jetson Nano. Additionally, we present a training and optimization framework …
Elucidation Of Active Site And Mechanism Of Metal Catalysts Supported In Nu-1000,
2022
Clemson University
Elucidation Of Active Site And Mechanism Of Metal Catalysts Supported In Nu-1000, Hafeera Shabbir
All Dissertations
Advances in extraction of shale oil and gas has increased the production of geographically stranded natural gas (primarily consisting of methane (C1) and ethane (C2)) that is burned on site. A potential utilization strategy for shale gas is to convert it into fuel range hydrocarbons by catalytic dehydrogenation followed by oligomerization by direct efficient catalysts. This work focuses on understanding metal cation catalysts supported on metal-organic framework (MOF) NU-1000 that will actively and selectively do this transformation under mild reaction conditions, while remaining stable to deactivation (via metal agglomeration or sintering). I built computational models validated by experimental methods to …
True Stress-Strain Behavior Of Al-Based Cast Automotive Alloy Under Different Ageing Conditions And The Effect Of Trace Zr,
2022
Department of Mechanical Engineering, Bangladesh University of Engineering and Technology, Bangladesh
True Stress-Strain Behavior Of Al-Based Cast Automotive Alloy Under Different Ageing Conditions And The Effect Of Trace Zr, Mashiur Rahman Shoummo, Akib Abdullah Khan, Mohammad Salim Kaiser
Journal of Mechanical Engineering Science and Technology (JMEST)
A thorough investigation has been carried out on the Al-12Si-1Mg-1Cu-1Ni automotive alloy considering different properties, specially mechanical properties associated with true stress and true strain with Zr addition of trace amount. A commercially available piston is melted to produce the alloy, and trace amount of Zr is added to make another. The base alloy along with the Zr added alloy had been applied to homogenization, solution treatment, quenching, and ageing in order to get the age-hardening response. The alloys have been heat-treated at 25 ºC, 200 ºC, and 300 ºC, respectively, for four hours for attaining the under, peak and …
The Effect Of Nozzle Temperature, Infill Geometry, Layer Height And Fan Speed On Roughness Surface In Petg Filament,
2022
Department of Mechanical Engineering, Faculty of Engineering, University of Jember, Indonesia
The Effect Of Nozzle Temperature, Infill Geometry, Layer Height And Fan Speed On Roughness Surface In Petg Filament, Doohan Taqdissillah, Aris Zainul Mutaqqin, Mahros Darsin, Dedi Dwilaksana, Nasrul Ilminnafik
Journal of Mechanical Engineering Science and Technology (JMEST)
3D printing is a process of making three-dimensional solid objects from a digital file process created by laying down successive layers of material until the object is created. Many filaments can be used in 3D printing, one of which is PETG (PolyEthylene Terephthalate Glycol). PETG is a modification of PET (PolyEthylene Terephthalate) with added glycol at a molecular level to offer different chemical properties that provide significant chemical resistance, durability, and excellent formability for manufacturing. This study aims to find the most optimal parameter of surface roughness of PETG with different parameters of nozzle temperature, infill geometry, layer height and …
Backpack Effects On Two-Dimensional Gait Spatiotemporal And Kinematic Parameters,
2022
Mechanical Engineering Study Program, Faculty of Mechanical and Aerospace Engineering, Institut Teknologi Bandung, Indonesia
Backpack Effects On Two-Dimensional Gait Spatiotemporal And Kinematic Parameters, Nardo Rizaldy, Alvin Alvin, Wirawan Lingga, Ethan B.W. Goeij, F. Ferryanto
Journal of Mechanical Engineering Science and Technology (JMEST)
Loads could affect the body gait in various ways. Backpacks, sling bags, suitcases, and even trolleys could hugely affect human gait without us realizing it. The effects of these loads have been scientifically researched in biomechanics and sports science for the past few years. For instance, the comparison of walking with and without a backpack could easily reveal significant differences in body segments, which could be utilized for therapy and medicine development. The aim of this research is to determine the differences of the spatiotemporal kinematic parameters between a conventional human gait and a backpackloaded gait. Some parameters to be …
Investigate The Potential Renewable Energy Of Microalgae Spirulina Sp Using Proximate Analyzer, Sem-Edx, And Thermogravimetry,
2022
Department of Mechanical Engineering, Universitas Negeri Malang, Indonesia
Investigate The Potential Renewable Energy Of Microalgae Spirulina Sp Using Proximate Analyzer, Sem-Edx, And Thermogravimetry, Yahya Zakaria, Sukarni Sukarni, Poppy Puspitasari, Nandang Mufti, Samsudin Anis, Anwar Johari
Journal of Mechanical Engineering Science and Technology (JMEST)
Microalgae Spirulina sp which has been cultivated by the Brackishwater Aquaculture Development Center, Situbondo Indonesia were tested for their potential energy performance using proximate analyzer, SEMEDX, and thermogravimetry. The proximate analyzer showed volatile matter (VM), fixed carbon (FC), moisture, ash content (AC), total sulfur of microalgae Spirulina sp 68.15, 12.57, 11.22, 8.06, and 0.67 (wt%, ar), respectively, and the gross calorific value (GCV) is 4971 kcal/kg (dry basis). SEM-EDX test showed the morphology and chemical content of Spirulina sp. The content of microalgae Spirulina sp is dominated by carbon (C) and oxygen (O), then followed by chlorine (Cl), sodium (Na), …
Study On Predictive Maintenance Of V-Belt In Milling Machines Using Machine Learning,
2022
Mechanical Engineering Department, University of Muhammadiyah Malang, Indonesia
Study On Predictive Maintenance Of V-Belt In Milling Machines Using Machine Learning, Reza Aulia Rahman, Mohammad Faishol Erikyatna, Achmad Fauzan Hery Soegiharto
Journal of Mechanical Engineering Science and Technology (JMEST)
Towards industry 4.0, monitoring the degradation of machine tools’ components becomes a key feature so that smooth productivity is achieved. To preserve the functionality and performance of the machine tools, proper maintenance activities must be planned and carried out. V-belt is important component in machine tools that transmits power from the electric motor spindle in order to machine to work and cut desired material properly. The purpose of this research is to develop a predictive maintenance system for v-belt milling machine Krisbow 31N2F using machine learning. The machine learning algorithm models using multiple and simple linear regression algorithm was developed …
Effect Of Graphene Addition On Bacterial Cellulose-Based Nanocomposite,
2022
Master Program of Mechanical Engineering, Universitas Negeri Malang, Indonesia
Effect Of Graphene Addition On Bacterial Cellulose-Based Nanocomposite, Jibril Maulana, Heru Suryanto, Aminnudin Aminnudin
Journal of Mechanical Engineering Science and Technology (JMEST)
Bacterial cellulose (BC) is a widespread, low-cost biopolymer that has generally been produced from plants and biomass waste. A method for improving the range of applications for bacterial cellulose is adding graphene material. It has an outstanding feature that can increase the performance of nanocomposite materials. The research aims to observe the effect of graphene on the surface morphology, crystallinity, chemical bonding, and tensile strength of BC/CuO nanocomposite. For this study's synthesis, BC was synthesized by fermenting pineapple peel extract for 10 to 14 days. The produced BC was crushed, homogenized with a nano homogenizer machine, and filtered. Filtered BC, …
