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Articles 25291 - 25320 of 196022

Full-Text Articles in Engineering

The Role Of Business Intelligence Adoption As A Mediator Of Big Data Analytics In The Management Of Outsourced Reverse Supply Chain Operations, Heba Hatamlah, Mahmoud Allahham, Ibrahim A. Abu-Alsondos, Alaa Al-Junaidi, Ghadeer M. Al-Anati, Mustafa Al-Shaikh Sep 2023

The Role Of Business Intelligence Adoption As A Mediator Of Big Data Analytics In The Management Of Outsourced Reverse Supply Chain Operations, Heba Hatamlah, Mahmoud Allahham, Ibrahim A. Abu-Alsondos, Alaa Al-Junaidi, Ghadeer M. Al-Anati, Mustafa Al-Shaikh

Applied Mathematics & Information Sciences

The fluctuating and disorganized state of todays global markets is the result of several factors. COVID-19 is an illustration. Supply chain managers should re-evaluate their competitive strategy and leverage big data analytics in light of the rising volatility in demand and supply, rivalry among supply chain partners, and the requirement to deliver tailored goods and services (BDA). Supply chain firms require sophisticated BDA processes and procedures to provide useful insights from big data to better decision-making and supply chain operations, as many leaders in the sector have acknowledged the necessity for improving with data" (SCO). This research gives theoretical justification …

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The Artificial Intelligence As A Decision-Making Instrument For Modeling And Predicting Small Cities’ Attractiveness: Evidence From Morocco, Sohaib Khalid, Driss Effina, Khaoula Rihab Khalid, Mohamed Salem Chaabane Sep 2023

The Artificial Intelligence As A Decision-Making Instrument For Modeling And Predicting Small Cities’ Attractiveness: Evidence From Morocco, Sohaib Khalid, Driss Effina, Khaoula Rihab Khalid, Mohamed Salem Chaabane

Applied Mathematics & Information Sciences

This study analyzes residential attractiveness in small Moroccan cities using statistical models. Net migration rates are commonly used to assess attractiveness. The study estimated net migration rates for each city and employed a structural econometric model with logistic regression to identify influential variables that affect the net migration rate. These variables were then used in a predictive model with an artificial neural network algorithm. The logistic model revealed insights, highlighting the complexity of residential attractiveness influenced by factors like job supply, accessibility, and housing conditions. The artificial neural network model provided accurate predictions (over 80%), aiding policymakers in decision-making and …

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Improving The Performance Of A Series-Parallel System Based On Lindley Distribution, Abdelfattah Mustafa, M. I. Khan, Maher. A. Alraddadi Sep 2023

Improving The Performance Of A Series-Parallel System Based On Lindley Distribution, Abdelfattah Mustafa, M. I. Khan, Maher. A. Alraddadi

Applied Mathematics & Information Sciences

In this article, the performance of a series-parallel system is improved. The system components are assumed to follows independently and identically Lindley distributed with three parameters. The system reliability for the given system will be improved by using reduction method, hot, cold and imperfect duplication method. Some reliability measures are derived. Two types of reliability equivalence factors and gamma fractiles are calculated. A numerical example is introduced to explain the theoretical results.

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Quantization Of Fractional Constrained Systems With Wkb Approximation, Ola A. Jarabah Sep 2023

Quantization Of Fractional Constrained Systems With Wkb Approximation, Ola A. Jarabah

Applied Mathematics & Information Sciences

In this paper the constrained systems with two primary first class constraints are studied using fractional Lagrangian, after that we find the fractional Hamiltonian and the corresponding Hamilton Jacobi equation. Using separation of variables technique, we can find the action function S this function helps us to formulate the wave function which describe the behavior of our systems also from the action function S we can find the equations of motion and the corresponding momenta in fractional form. This work is illustrated using one example.

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Applications Of The Ara-Residual Power Series Technique To Physical Phenomena, Aliaa Burqan Sep 2023

Applications Of The Ara-Residual Power Series Technique To Physical Phenomena, Aliaa Burqan

Applied Mathematics & Information Sciences

In this paper, a new analytical method called the ARA-Residual power series method (ARA- RPSM) is implemented to solve some fractional physical equations. The methodology of the proposed method based on applying the ARA-transform to the given fractional differential equations, followed by the creation of approximate series solutions using Taylor’s expansion. Then the series solution is transformed using the inverse of the ARA-transform to get the solution in the original space. Accuracy, effectiveness, and validity of the suggested method are demonstrated through the discussion of three attractive applications. The solution obtained using ARA-RPSM demonstrates good agreement when compared to the …

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Generalization Of Renyi’S Entropy And Its Application In Source Coding, Ashiq Hussain Bhat, Niyamat Ali Siddiqui, Ismail A Mageed, Shawkat Alkhazaleh, Vidyanand Rabi Das, M. A. K Baig Sep 2023

Generalization Of Renyi’S Entropy And Its Application In Source Coding, Ashiq Hussain Bhat, Niyamat Ali Siddiqui, Ismail A Mageed, Shawkat Alkhazaleh, Vidyanand Rabi Das, M. A. K Baig

Applied Mathematics & Information Sciences

In this paper, we introduce a new generalization of Renyis entropy β(P) and the most important feature of this generalized entropy Rαβ (P) is that it derives most important entropies that are well known and influence information theory and applied mathematics. Some significant properties of Rαβ (P) has been undertaken in this article. In addition, we introduce a new generalized exponentiated mean codeword length Lβα (P) in this article then determine how Rβα (P) and Lβα (P) are related in terms of source coding theorem.

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Shrinkage And Consolidation Characteristics Of Chitosan-Amended Soft Soil: A Sustainable Alternate Landfill Liner Material, Romana Mariyam Rasheed, Arif Ali Baig Moghal, Sai Sampreeth Reddy Jannepally, Ateekh Ur Rehman, Bhaskar C. S. Chittoori Sep 2023

Shrinkage And Consolidation Characteristics Of Chitosan-Amended Soft Soil: A Sustainable Alternate Landfill Liner Material, Romana Mariyam Rasheed, Arif Ali Baig Moghal, Sai Sampreeth Reddy Jannepally, Ateekh Ur Rehman, Bhaskar C. S. Chittoori

Civil Engineering Faculty Publications and Presentations

Kuttanad is a region that lies in the southwest part of Kerala, India, and possesses soft soil, which imposes constraints on many civil engineering applications owing to low shear strength and high compressibility. Chemical stabilizers such as cement and lime have been extensively utilized in the past to address compressibility issues. However, future civilizations will be extremely dependent on the development of sustainable materials and practices such as the use of bio-enzymes, calcite precipitation methods, and biological materials as a result of escalating environmental concerns due to carbon emissions of conventional stabilizers. One such alternative is the utilization of biopolymers. …

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Embedding Sustainable Development In Built Environment Curricula: An Investigation Of Quantity Surveying (Qs) Education For Sustainable Development In Ireland, Roisin Murphy Dr Sep 2023

Embedding Sustainable Development In Built Environment Curricula: An Investigation Of Quantity Surveying (Qs) Education For Sustainable Development In Ireland, Roisin Murphy Dr

Conference Papers

No abstract provided.

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Impact Of Crowded Sky On Gnss Positioning, Shamal Fatah Ahmed Sep 2023

Impact Of Crowded Sky On Gnss Positioning, Shamal Fatah Ahmed

Polytechnic Journal

Presently, there is a huge number of Global Navigation Satellite System (GNSS) satellites in orbit, and it is possible for users to have a clear view with a high number of satellites at a single epoch. This large number of satellites results in a significant improvement in satellite geometry, visibility, Dilution of Precision (DOP), and simultaneously, reduction of occupation time and sufficient time to fix the integer ambiguity. The static method is the most accurate method to establish geodetic networks using satellites, but the length of time required for the survey and the post-processing of the data may restrict its …

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Performance Evaluation Of Reclaimed Asphalt Pavement Rejuvenated With Waste Engine Oil And Vacuum Residue In The Presence Of Water, Heja Gh. M. Hasan, Ayman A. Abdulmawjoud Sep 2023

Performance Evaluation Of Reclaimed Asphalt Pavement Rejuvenated With Waste Engine Oil And Vacuum Residue In The Presence Of Water, Heja Gh. M. Hasan, Ayman A. Abdulmawjoud

Polytechnic Journal

The service life of a road pavement reduces as it ages and loses quality due to exposure to various traffic loads and environmental conditions. This study investigates the possibility of reusing aged asphalt in pavement by mixing Waste Engine Oil (WEO) and Vacuum Residue (VR) to create a hybrid rejuvenator. Four types of binders, namely, virgin asphalt, aged asphalt, blended aged and virgin asphalt, and rejuvenated hybrid (WEO-VR) with aged and virgin asphalt, were evaluated using rheological and water immersion tests. The results show that WEO-VR greatly enhanced the properties of old asphalt in the presence of water based on …

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Nonlinear Analysis Of Pile Raft Foundations Under Eccentric Loads, Khalid Qasim Hussein, Dr. Rafi’ M. Sulaiman Al-Ne’Aimi Sep 2023

Nonlinear Analysis Of Pile Raft Foundations Under Eccentric Loads, Khalid Qasim Hussein, Dr. Rafi’ M. Sulaiman Al-Ne’Aimi

Polytechnic Journal

This paper discusses a series of 3D nonlinear analyses of the pile group foundation of a 34-floor multi-story building subjected to vertical load and large moments using PLAXIS 3D v20 software. The soil profile consists of seven strata of various properties, with groundwater encountered at 19.6 m below the ground surface. The soil is modeled as hardening soil material in drained conditions. The piles in the pile group foundation are modeled as embedded pile elements. Several parameters were investigated through a rigorous parametric study, such as the pile spacing-diameter ratio (s/dpile), the number of piles, and the pile slenderness ratio …

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The Effect Of Slow Strain Rate Tension And Cyclic Loading On Biodegradable Zn–2%Fe–0.8%Mn Alloy In A Simulated Physiological Environment, Lital Ben Tzion-Mottye, Adi Bahar, Tomer Ron, Galit Katarivas Levy, Jeremy Goldman, Dan Eliezer, Eli Aghion Sep 2023

The Effect Of Slow Strain Rate Tension And Cyclic Loading On Biodegradable Zn–2%Fe–0.8%Mn Alloy In A Simulated Physiological Environment, Lital Ben Tzion-Mottye, Adi Bahar, Tomer Ron, Galit Katarivas Levy, Jeremy Goldman, Dan Eliezer, Eli Aghion

Michigan Tech Publications

Zinc-based alloys have gained increased interest as biodegradable structural materials for medical applications due to their adequate biocompatibility, crucial roles in many physiological functions and attractive antibacterial properties. However, the major drawbacks of zinc alloys relate to their inadequate mechanical properties and tendency to provoke fibrous encapsulation due to relatively high standard potential. Based on the promising effect of Mn on properties of Zn-based alloys, the present study aimed at evaluating the suitability of Zn–2%Fe–0.8%Mn alloy as a potential biodegradable implant under in-vitro conditions. This evaluation focused on the passivation characteristics as determined by cyclic potentiodynamic polarization analysis, immersion test, …

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Solution And Film Self-Assembly Behavior Of A Block Copolymer Composed Of A Poly(Ionic Liquid) And A Stimuli-Responsive Weak Polyelectrolyte, Kayla Foley, Keisha B. Walters Sep 2023

Solution And Film Self-Assembly Behavior Of A Block Copolymer Composed Of A Poly(Ionic Liquid) And A Stimuli-Responsive Weak Polyelectrolyte, Kayla Foley, Keisha B. Walters

Chemical Engineering Faculty Publications and Presentations

Cu(0)-mediated atom transfer radical polymerization was used to synthesize a poly(ionic liquid), poly[4-vinylbenzyl-3-butylimidazolium bis(trifluoromethylsulfonyl)imide] (PVBBImTf2N), a stimuli-responsive polyelectrolyte, poly[2-(dimethylamino)ethyl methacrylate] (PDMAEMA), and a novel block copolymer formed from these two polymers. The synthesis of the block copolymer, poly[2-(dimethylamino) ethyl methacrylate]-block-[poly(4-vinylbenzyl-3-butylimidazolium bis(trifluoromethylsulfonyl)imide] (PDMAEMA-b-PVBBImTf2N), was examined to evaluate the control of “livingness” polymerization, as indicated by molecular weight, characterizations of degree of polymerization, and 1HNMR spectroscopy. 2D DOSY NMR measurements revealed the successful formation of block copolymer and the connection between the two polymer blocks. PDMAEMA-b-PVBBImTf2N was further characterized …

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Quantification Of Geodetic Strain Rate Uncertainties And Implications For Seismic Hazard Estimates, Jeremy Maurer, Kathryn Materna Sep 2023

Quantification Of Geodetic Strain Rate Uncertainties And Implications For Seismic Hazard Estimates, Jeremy Maurer, Kathryn Materna

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Geodetic velocity data provide first-order constraints on crustal surface strain rates, which in turn are linked to seismic hazard. Estimating the 2-D surface strain tensor everywhere requires knowledge of the surface velocity field everywhere, while geodetic data such as Global Navigation Satellite System (GNSS) only have spatially scattered measurements on the surface of the Earth. To use these data to estimate strain rates, some type of interpolation is required. In this study, we review methodologies for strain rate estimation and compare a suite of methods, including a new implementation based on the geostatistical method of kriging, to compare variation between …

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Evaluation Of Slope Stabilization By Vegetation Reinforcement: Modelling Aspects, Shimal Abdulrahman Ahmed, Mohammed S. Hussain Sep 2023

Evaluation Of Slope Stabilization By Vegetation Reinforcement: Modelling Aspects, Shimal Abdulrahman Ahmed, Mohammed S. Hussain

Polytechnic Journal

The slope stability is one of the main concerns in geotechnical engineering. The focus of this study is the numerical assessment of the reinforcement using planting (vegetation) as an environmentally- friendly technique to increase the safety factor of slopes against failure. For this purpose, the physical interaction of the vegetation root with the soil structure, known as apparent root cohesion, is introduced in the Mohr-Coulomb failure model. Therefore, and using parametric study, the effects of root cohesion (Cr) and root depth (Zr) corresponding to different types of plants/trees on safety of different slopes are analyzed using both Numerical and Limit …

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Land Use Land Cover Changes Detection Of Erbil City Using Gis And Remote Sensing, Mohammed Ghadban Mohammed Sep 2023

Land Use Land Cover Changes Detection Of Erbil City Using Gis And Remote Sensing, Mohammed Ghadban Mohammed

Polytechnic Journal

Erbil City, the capital of the Kurdistan region in Iraq, witnessed significant land use land cover changes over the last two decades. These Land Cover Land Use (LULC) changes were attributed to many main social, political, climactic, and economic variables, especially after 2003 in Iraq. The use of geographic information systems and remote sensing became active tools that use public satellite images to detect LULC changes in cities. Two images of the study area of Erbil City for the years 2003 and 2020 respectively were used to analyze and get the nature and the magnitude of the LULC changes. Six …

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Effects Variability Number Of Load Repetitions On The Optimum Thickness Of Asphalt Layer With Respect To Fatigue And Rutting Behaviour On The Sand Bed Soil Area, Samir Hasan Raza, Nazeer Muhammed Ali Abdulah Sep 2023

Effects Variability Number Of Load Repetitions On The Optimum Thickness Of Asphalt Layer With Respect To Fatigue And Rutting Behaviour On The Sand Bed Soil Area, Samir Hasan Raza, Nazeer Muhammed Ali Abdulah

Polytechnic Journal

This study investigates the effect of the variability of a number of load repetitions on the asphalt layer thickness, and also the elastic modulus of pavement materials on the behaviour of flexible pavement structural on the sand bed soil with respect to fatigue failure and rutting failure using the mechanistic design approach. The framework is evaluated for a six-layered flexible pavement system. The major focus of this study is the influence of variability associated with the thickness and resilient moduli of an asphalt layer on fatigue and rutting failures is discussed. The methodology is based on the damage analysis concept …

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Indoors Smartphone Positioning Enhancement Using Wi-Fi And Magnetometer, Runahi F. Qadir, Halgurd S. Maghdid, Azhin T. Sabir Sep 2023

Indoors Smartphone Positioning Enhancement Using Wi-Fi And Magnetometer, Runahi F. Qadir, Halgurd S. Maghdid, Azhin T. Sabir

Polytechnic Journal

Recent embedded technologies on today’s smartphone make the smartphones more comfortable to run a large number of applications which are used for people’s daily activities. Among all these applications, the location-based services (LBS) are frequently used. The LBS applications utilized location information via Smartphones technologies. For example, when outdoors, Global Navigation System (GPS) or generally Global navigation satellite system (GNSS) signals are used to retrieve the location information within enough positioning accuracy. However, when smartphone holders are entering to the urbane area or indoors, the performance of GPS service will be degraded or sometime cannot retrieve location information due to …

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Laboratory Glovebox, Jackson T. Tenne, Noah Fitzgerald, Scott Stirling, Danny Ho Sep 2023

Laboratory Glovebox, Jackson T. Tenne, Noah Fitzgerald, Scott Stirling, Danny Ho

Mechanical Engineering

The Laboratory Glovebox project aimed to create an affordable, functional, ready to use, airtight workstation enabling Dr. Ramanan Sritharan to continue his research of the mechanical properties of nanomaterials. When airborne, nanomaterials are a health risk if inhaled, so the design requires a hermetic seal to protect the user. The design was meant to emulate features of the glovebox used by Dr. Sritharan during his PhD research, but was optimized to meet a budget of $3000, much cheaper than comparable alternatives. Key design features included acrylic panels, a transfer chamber, glove mounts, and a main access door, all sealed to …

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Kentucky Traffic Collision Facts 2022 Report, Paul Ross, Eric Green, Christopher Blackden, Kenneth R. Agent, Christopher Van Dyke Sep 2023

Kentucky Traffic Collision Facts 2022 Report, Paul Ross, Eric Green, Christopher Blackden, Kenneth R. Agent, Christopher Van Dyke

Kentucky Transportation Center Research Report

Kentucky’s Traffic Collision Facts is based on collision reports submitted to the Kentucky State Police Records Branch. As required by Kentucky Revised Statute 189.635: “Every law enforcement agency whose officers investigate a vehicle accident of which a report must be made...shall file a report of the accident...within ten days after investigation of the accident upon forms supplied by the bureau.” The stated purpose of this requirement is to utilize data on traffic collisions to improve the Commonwealth’s traffic safety program. Unless otherwise noted, data in this publication are for public roads only. Data contained in this report are based solely …

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Pymaivar: An Open-Source Python Suit For Audio-Image Representation In Human Action Recognition, Muhammad B. Shaikh, Douglas Chai, Syed M. S. Islam, Naveed Akhtar Sep 2023

Pymaivar: An Open-Source Python Suit For Audio-Image Representation In Human Action Recognition, Muhammad B. Shaikh, Douglas Chai, Syed M. S. Islam, Naveed Akhtar

Research outputs 2022 to 2026

We present PyMAiVAR, a versatile toolbox that encompasses the generation of image representations for audio data including Wave plots, Spectral Centroids, Spectral Roll Offs, Mel Frequency Cepstral Coefficients (MFCC), MFCC Feature Scaling, and Chromagrams. This wide-ranging toolkit generates rich audio-image representations, playing a pivotal role in reshaping human action recognition. By fully exploiting audio data's latent potential, PyMAiVAR stands as a significant advancement in the field. The package is implemented in Python and can be used across different operating systems.

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Experimental Investigation On Coal Fines Migration Through Proppant Packs: Assessing Variation Of Formation Damage And Filtration Coefficients, Faisal Ur Rahman Awan, Mohsen Farrokhrouz, Hamed Akhondzadeh, Stefan Iglauer, Alireza Keshavarz Sep 2023

Experimental Investigation On Coal Fines Migration Through Proppant Packs: Assessing Variation Of Formation Damage And Filtration Coefficients, Faisal Ur Rahman Awan, Mohsen Farrokhrouz, Hamed Akhondzadeh, Stefan Iglauer, Alireza Keshavarz

Research outputs 2022 to 2026

Coalbed methane reservoirs generate coal fines during production that cause irreversible damage to cleat conductivity. In severe scenarios, this can result in temporary closure of recovery operations from the gas well(s). In this work, we simulate the impact of coal fines on proppant conductivity. Four sets of experiments were conducted: effect of salinity – 0 to 3.5 NaCl wt.%, pH – 2 to 11, coal rank - anthracite, high volatile bituminous, and sub-bituminous; and 0.01 wt% additives – Sodium Dodecyl Benzene Sulfonate (SDBS) and Cetrimonium bromide (CTAB) and validated with established analytical models. Moreover, medical computed tomography of three extreme …

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Low-Frequency Laboratory Measurements Of The Elastic Properties Of Solids Using A Distributed Acoustic Sensing System, Vassily Mikhaltsevitch, Maxim Lebedev, Roman Pevzner, Alexey Yurikov, Konstantin Tertyshnikov Sep 2023

Low-Frequency Laboratory Measurements Of The Elastic Properties Of Solids Using A Distributed Acoustic Sensing System, Vassily Mikhaltsevitch, Maxim Lebedev, Roman Pevzner, Alexey Yurikov, Konstantin Tertyshnikov

Research outputs 2022 to 2026

In recent decades, low-frequency (LF) experiments based on the forced-oscillation (FO) method have become common practice in many rock physics laboratories for measuring the elastic and anelastic properties of rocks. However, the use of the electronic displacement sensors in traditional acquisition systems of FO devices such as conventional capacitive transducers or strain gauges seriously limits both the efficiency and productivity of LF measurements, and, due to the limited contact area of the displacement sensors with a sample under test, increases the requirements for sample homogeneity. In this paper, we present the first results obtained in the development of a new …

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Micro-Scale Wettability Of Carbonate Rocks Via High-Resolution Esem Imaging, Khaloud Al-Naimi, Muhammad Arif, Mahmoud Aboushanab, Dalaver Anjum, Mohammed Al Kobaisi, Md Motiur Rahman, Mohamed Mahmoud, Stefan Iglauer Sep 2023

Micro-Scale Wettability Of Carbonate Rocks Via High-Resolution Esem Imaging, Khaloud Al-Naimi, Muhammad Arif, Mahmoud Aboushanab, Dalaver Anjum, Mohammed Al Kobaisi, Md Motiur Rahman, Mohamed Mahmoud, Stefan Iglauer

Research outputs 2022 to 2026

The wettability of several materials has been traditionally quantified using macro-scale contact angles. However, precise identification of the three-phase contact (TPC) line is often difficult due to the resolution limit of macro-scale setups. Moreover, micro-level surface chemical heterogeneities can have a notable impact on the predicted wetting behavior which limits macro-scale contact angles. Thus, here, we investigate the micro-scale water wettability of condensed micro-droplets on carbonate rock surfaces via a high-resolution Environmental Scanning Electron Microscopy (ESEM). Macro- and micro-scale contact angles were evaluated under three conditions: 1) natural carbonate surfaces, 2) surfaces aged in crude oil, and 3) surfaces aged …

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Enhancing The Co2 Trapping Capacity Of Saudi Arabian Basalt Via Nanofluid Treatment: Implications For Co2 Geo-Storage, Muhammad Ali, Nurudeen Yekeen, Mirhasan Hosseini, Ghazanfer R. Abbasi, Amer Alanazi, Alireza Keshavarz, Thomas Finkbeiner, Hussein Hoteit Sep 2023

Enhancing The Co2 Trapping Capacity Of Saudi Arabian Basalt Via Nanofluid Treatment: Implications For Co2 Geo-Storage, Muhammad Ali, Nurudeen Yekeen, Mirhasan Hosseini, Ghazanfer R. Abbasi, Amer Alanazi, Alireza Keshavarz, Thomas Finkbeiner, Hussein Hoteit

Research outputs 2022 to 2026

Mineralization reactions in basaltic formations have gained recent interest as an effective method for CO2 geo-storage in order to mitigate anthropogenic greenhouse gas emissions. The CO2/rock interactions, including interfacial tension and wettability, are crucial factors in determining the CO2 trapping capacity and the feasibility of CO2 geological storage in these formations. The Red Sea geological coast in Saudi Arabia has many basaltic formations, and their wetting characteristics are rarely reported in the literature. Moreover, organic acid contamination is inherent in geo-storage formations and significantly impacts their CO2 geo-storage capacities. Hence, to reverse the organic effect, the influence of various SiO2 …

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System Strength Shortfall Challenges For Renewable Energy-Based Power Systems: A Review, Md O. Qays, Iftekhar Ahmad, Daryoush Habibi, Asma Aziz, Thair Mahmoud Sep 2023

System Strength Shortfall Challenges For Renewable Energy-Based Power Systems: A Review, Md O. Qays, Iftekhar Ahmad, Daryoush Habibi, Asma Aziz, Thair Mahmoud

Research outputs 2022 to 2026

Renewable energy sources such as wind farms and solar power plants are replacing conventional coal-based synchronous generators (SGs) to achieve net-zero carbon emissions worldwide. SGs play an important role in enhancing system strength in a power system to make it more stable during voltage/frequency disruptions. However, traditional coal-fired SGs are being decommissioned in many parts of the world, owing to stringent environmental regulations and low levelized cost of energy of renewables. Consequently, maintaining system strength in a renewable energy-dominated power system has become a major challenge, and without adequate mitigation techniques, low system strength can potentially cause widespread power outages. …

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Harnessing The Power Of Neural Networks For The Investigation Of Solar-Driven Membrane Distillation Systems Under The Dynamic Operation Mode, Pooria Behnam, Masoumeh Zargar, Abdellah Shafieian, Amir Razmjou, Mehdi Khiadani Sep 2023

Harnessing The Power Of Neural Networks For The Investigation Of Solar-Driven Membrane Distillation Systems Under The Dynamic Operation Mode, Pooria Behnam, Masoumeh Zargar, Abdellah Shafieian, Amir Razmjou, Mehdi Khiadani

Research outputs 2022 to 2026

Accurate modeling of solar-driven direct contact membrane distillation systems (DCMD) can enhance the commercialization of these promising systems. However, the existing dynamic mathematical models for predicting the performance of these systems are complex and computationally expensive. This is due to the intermittent nature of solar energy and complex heat/mass transfer of different components of solar-driven DCMD systems (solar collectors, MD modules and storage tanks). This study applies a machine learning-based approach to model the dynamic nature of a solar-driven DCMD system for the first time. A small-scale rig was designed and fabricated to experimentally assess the performance of the system …

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Qc-Sane: Robust Control In Drl Using Quantile Critic With Spiking Actor And Normalized Ensemble, Surbhi Gupta, Gaurav Singal, Deepak Garg, Sarangapani Jagannathan Sep 2023

Qc-Sane: Robust Control In Drl Using Quantile Critic With Spiking Actor And Normalized Ensemble, Surbhi Gupta, Gaurav Singal, Deepak Garg, Sarangapani Jagannathan

Electrical and Computer Engineering Faculty Research & Creative Works

Recently Introduced Deep Reinforcement Learning (DRL) Techniques in Discrete-Time Have Resulted in Significant Advances in Online Games, Robotics, and So On. Inspired from Recent Developments, We Have Proposed an Approach Referred to as Quantile Critic with Spiking Actor and Normalized Ensemble (QC-SANE) for Continuous Control Problems, Which Uses Quantile Loss to Train Critic and a Spiking Neural Network (NN) to Train an Ensemble of Actors. the NN Does an Internal Normalization using a Scaled Exponential Linear Unit (SELU) Activation Function and Ensures Robustness. the Empirical Study on Multijoint Dynamics with Contact (MuJoCo)-Based Environments Shows Improved Training and Test Results Than …

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Fs-Laser Fabricated Miniature Fabry–Perot Interferometer In A No-Core Fiber For High-Temperature Applications †, Chen Zhu, Osamah Alsalman, Jie Huang Sep 2023

Fs-Laser Fabricated Miniature Fabry–Perot Interferometer In A No-Core Fiber For High-Temperature Applications †, Chen Zhu, Osamah Alsalman, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

This Paper Reports a Fiber In-Line Fabry–Perot Interferometer (FPI) Fabricated in a No-Core Fiber using the Direct Femtosecond Laser Writing Technique for High-Temperature Sensing Applications. Two In-Line Reflectors Are Directly Inscribed in a No-Core Fiber to Construct a Low-Finesse FPI. Fringe Visibility Greater Than 10 DB is Obtained from the Reflection Spectra of the Fabricated No-Core Fiber FPIs. Temperature Responses of a Prototype No-Core Fiber FPI Are Characterized Up to 1000 °C. the Proposed Configuration is Compact and Easy to Fabricate, Making It Attractive for Sensing Applications in High-Temperature Harsh Environments.

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Discrete Choice Experiment Consideration: A Framework For Mining Community Consultation With Case Studies, Sisi Que, Yu Huang, Kwame Awuah-Offei, Liang Wang, Songlin Liu Sep 2023

Discrete Choice Experiment Consideration: A Framework For Mining Community Consultation With Case Studies, Sisi Que, Yu Huang, Kwame Awuah-Offei, Liang Wang, Songlin Liu

Mining Engineering Faculty Research & Creative Works

Local community acceptance, a key indicator of the socio-political risk of a project, is addressed through good stakeholder (community) engagement. Discrete choice modeling (DCM) enhances stakeholder analysis and has been widely applied to encourage community engagement in energy projects. However, very little detail is provided on how researchers design discrete choice experiments (DCEs). DCE design is the key step for effective and efficient data collection. Without this, the discrete choice model may not be meaningful and may be misleading in the local community engagement effort. This paper presents a framework for mining community engagement DCE design in an attempt to …

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