Engineering Commons^™

Design Of Multi-Objective And Optimal Sliding Mode Controller For Tracking Knee Joint Angle During Squatting And Normal Gait Motion, Gabriel Sitler

Theses, Dissertations and Capstones

This work presents two objectives for the use of robust sliding mode controller (SMC) in optimal and multi-objective settings to regulate the position of the knee joint angle for patients suffering from knee injuries. The controller imitates the role of active orthoses that produce the joint torques required to overcome gravity and loading forces and regain natural human movements. The first objective is to focus only on the knee, for which a mathematical model of the shank, the lower part of the leg, is derived first and then used for the control system design and computer simulations. Four objectives are …

Numerical Design, Fabrication, And Characterization Of Porous Tissue Scaffolds For Bone Regeneration, Brandon Coburn

Theses, Dissertations and Capstones

With the recent advancements within biomedical engineering of bone tissue scaffolds, there is still a need to develop mechanically robust and biocompatible with low immunogenicity for bone regeneration. Additionally, the evaluation of the fluid dynamics of the porous Triply Periodic Minimal Surfaces (TPMS) bone scaffold also shows the need for investigation due to the complex fluid interaction of hemodynamics that occurs with the scaffold internal and external domains. To aid in the development of treating bone fractures, defects, and diseases. Furthermore, with the induction of a wide variety of TPMS architecture that yields different topologies, the Convolutional Neural Network (CNN) …

Evaluation Of Driveway Assistance Device (Dad) Systems In One-Lane Two-Way Work Zone, Mm Shakiul Haque, Aemal J. Khattak, Li Zhao

Mid-America Transportation Center: Final Reports and Technical Briefs

Lane closure on two-lane highways due to the presence of work zones negatively impacts traffic safety and operational efficiency. Additionally, traffic from access points (e.g., commercial and residential driveways, or minor side roads) within work zones make operations more complicated and inefficient. Deploying a driveway assistance device (DAD) system can enable more efficient traffic control for work zones with access points. While traffic agencies are becoming interested in DAD deployments, research on such systems is relatively sparse. This research was the first in-depth operational investigation of the DAD system under different signal strategies, traffic conditions, and work zone characteristics. This …

Plant And Soil Effects Of Alternative Sources Of Phosphorus Over Three Years Of Application, Anna Karpinska, Thomais Kakouli-Duarte, S M. Ashekuzzaman, John Byrne, Achim Schmalenberger, Patrick J. Forrestal

Publications

Plant growth and food security depend heavily on phosphorus (P). Recovering and recycling P from animal, municipal, and food waste streams can significantly reduce dependency on traditional mineral P. This is particularly pertinent in the EU regions with limited native P supplies. The agronomic performance of including P-based recycling-derived fertilisers (two struvite and two ashes) or cattle slurry was compared to a conventional mineral P fertilisation programme along with no P and no fertiliser controls over three years. A field-scale experiment was set up to evaluate the perennial ryegrass dry matter yield (DMY), P uptake, and soil test P effects. …

Enhancing Groundwater Quality Assessment In Coastal Area: A Hybrid Modeling Approach, Md Galal Uddin, M M. Shah Porun Rana, Mir Talas Mahammad Diganta, Apoorva Bamal, Abdul Majed Sajib, Mohamed Abioui, Molla Rahman Shaibur, S M. Ashekuzzaman, Mohammad Reza Nikoo, Azizur Rahman, Md Moniruzzaman, Agnieszka I. Olbert

Publications

Monitoring of groundwater (GW) resources in coastal areas is vital for human needs, agriculture, ecosystems, securing water supply, biodiversity, and environmental sustainability. Although the utilization of water quality index (WQI) models has proven effective in monitoring GW resources, it has faced substantial criticism due to its inconsistent outcomes, prompting the need for more reliable assessment methods. Therefore, this study addressed this concern by employing the data-driven root mean squared (RMS) models to evaluate groundwater quality (GWQ) in the coastal Bhola district near the Bay of Bengal, Bangladesh. To enhance the reliability of the RMS-WQI model, the research incorporated …

Phosphorus Fertiliser Equivalent Value Of Dairy Processing Sludge-Derived Strubias Products Using Ryegrass (Lolium Perenne L.) And Spring Wheat (Triticum Aestivum), W Shi, Owen Fenton, S M. Ashekuzzaman, K Daly, J J. Leahy, N Khalaf, K Chojnacka, C Numviyimana, J Warchol, M G. Healy

Publications

Background

Struvite, biochar and ash products (collectively known as STRUBIAS) derived from different waste streams are used as fertilisers in agriculture. Raw dairy processing sludge (DPS) shows promise as bio-based fertilisers, but secondary STRUBIAS-derived products need further testing as fertilisers.

Aims

The objective of this study was to calculate the phosphorus mineral fertiliser equivalency (P-MFE) for some STRUBIAS products derived from DPS.

Methods

Ryegrass (Lolium perenne L.) and wheat (Triticum aestivum) pot trials were used to determine the P-MFE using the apparent P recovery (APR) method for Fe-DPS and DPS-derived struvites (Struvite 1–4), hydrochars (HC1–3) and …

Enhancing Academic Performance And Psychological Well-Being Through Sound Vibration Reading: An Experimental Study, L. Yan, X. Xu, Man Hon, Billy Chow, S.S. Lai

Staff Publications

This study investigates the development and application of monitoring equipment for sound vibration in neuroscience, focusing on its effects on high school students' academic performance and psychological well-being. The premise of the research is based on the phenomenon where sound vibrations from speech induce vibrations in the cranial bones, which is hypothesized to improve cerebrospinal fluid circulation, thus enhancing nutrient exchange within brain tissues. This enhancement could potentially elevate cognitive capabilities, academic achievements, and reduce psychological stress among students.

To verify the effects of sound vibration on learning outcomes, controlled experiments were performed in schools located in Beijing and Henan, …

Distributed Solar Generation: Data Analytics Of The Existing Literature For Guiding Future Prospects, Gasser Ali, Islam H. El-Adaway

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Distributed Solar Generation (DSG) Systems Are Small-Scale Units That Are Located At Or Near End-Consumers Such As Residential Rooftop Photo-Voltaic (PV) Systems. DSG Has Driven A Plethora Of Multidisciplinary Research With Various Interrelated Topics And Perspectives. A Broad Understanding Of Research Directions And Potential Gaps In Knowledge Can Be Elusive. Accordingly, The Goal Of This Paper Is To Investigate The Research Trends Related To DSG And Explore Research Opportunities. This Is Achieved By Performing A Data-Driven Keyword Search And Network Analysis On A Large Dataset Of Publications Related To DSG To Quantify Topics Related To DSG And The Interconnectivity Between …

Cav-Ad: A Robust Framework For Detection Of Anomalous Data And Malicious Sensors In Cav Networks, Md Sazedur Rahman, Mohamed Elmahallawy, Sanjay Madria, Samuel Frimpong

Computer Science Faculty Research & Creative Works

The adoption of connected and automated vehicles (CAVs) has sparked considerable interest across diverse industries, including public transportation, underground mining, and agriculture sectors. However, CAVs' reliance on sensor readings makes them vulnerable to significant threats. Manipulating these readings can compromise CAV network security, posing serious risks for malicious activities. Although several anomaly detection (AD) approaches for CAV networks are proposed, they often fail to: i) detect multiple anomalies in specific sensor(s) with high accuracy or F1 score, and ii) identify the specific sensor being attacked. In response, this paper proposes a novel framework tailored to CAV networks, called CAV-AD, for …

การจัดลำดับความสำคัญของบทวิจารณ์ของผู้ใช้ซอฟต์แวร์โดยคำนึงถึงประสบการณ์ผู้ใช้โดยใช้การเรียนรู้ของเครื่อง, ลักษณ์สิปาง สาครวิจิตรี

Chulalongkorn University Theses and Dissertations (Chula ETD)

ปัจจุบันตลาดโมไบล์แอปพลิเคชันมีการแข่งขันสูง นักพัฒนาจึงจำเป็นต้องให้ความสำคัญกับบทวิจารณ์ของผู้ใช้ซึ่งบ่งบอกถึงความคิดเห็นและประสบการณ์ของผู้ใช้งานจริง เพื่อนำไปสู่การปรับปรุงและพัฒนาฟังก์ชันการทำงานให้ตรงตามความต้องการของผู้ใช้มากยิ่งขึ้น อย่างไรก็ตาม แอปพลิเคชันยอดนิยมมักมีบทวิจารณ์จำนวนมาก ทำให้เกิดข้อจำกัดในการที่นักพัฒนาจะสามารถอ่านและวิเคราะห์บทวิจารณ์ทั้งหมดได้อย่างมีประสิทธิภาพ เพื่อจัดการกับปัญหาดังกล่าว งานวิจัยฉบับนี้จึงนำเทคโนโลยีการเรียนรู้ของเครื่องเข้ามาช่วยในการจำแนกประเภทของบทวิจารณ์ โดยพิจารณาจากเนื้อหาในบทวิจารณ์ของผู้ใช้ซึ่งอาจสะท้อนถึงปัญหา ข้อบกพร่อง หรือข้อเสนอในการพัฒนาฟังก์ชันใหม่ ข้อมูลที่ได้จะถูกนำไปใช้จัดลำดับความสำคัญของการแก้ไขปรับปรุงตามผลกระทบที่มีต่อประสบการณ์ของผู้ใช้ งานวิจัยนี้ได้กำหนดหมวดหมู่ของบทวิจารณ์ไว้ทั้งหมด 5 ประเภท ได้แก่ ปัญหาด้านความจำเป็นพื้นฐาน, ปัญหาด้านการปฏิบัติ, ปัญหาด้านความเพลิดเพลิน, ปัญหาด้านความแปลกใหม่ และปัญหาอื่น ๆ ซึ่งสะท้อนลำดับความสำคัญของปัญหาจากมุมมองของผู้ใช้ ในการพัฒนาโมเดลการเรียนรู้ของเครื่องพบว่าโมเดลเบิร์ตมีประสิทธิภาพสูงกว่าโมเดลเอสวีเอ็ม แรนดอมฟอเรสต์ และโลจิสติกรีเกรสชัน โดยมีค่าความเที่ยงเป็น 0.72 ค่าเรียกกลับเป็น 0.719 ค่าเอฟวันเป็น 0.719 และค่าความแม่นเป็น 0.722 นอกจากนี้ งานวิจัยยังได้พัฒนาเว็บแอปพลิเคชันต้นแบบที่ใช้โมเดลเบิร์ตที่สร้างขึ้น เพื่อช่วยให้นักพัฒนาสามารถนำไปใช้วิเคราะห์และจัดลำดับความสำคัญของงานการบำรุงรักษาโมไบล์แอปพลิเคชัน โดยเว็บแอปพลิเคชันจะช่วยลดภาระในการอ่านบทวิจารณ์จำนวนมาก พร้อมทั้งสกัดข้อมูลที่สำคัญออกมาให้เห็นภาพรวมของความต้องการของผู้ใช้

Tuning Selectivity Of Ni/Al2o3 Catalysts In Co2 Hydrogenation By Addition Of N, S-Doped Carbon, Nipitpon Jarumalai

Chulalongkorn University Theses and Dissertations (Chula ETD)

This study investigates the enhancement of Ni/Al₂O₃ catalysts for CO₂ hydrogenation by incorporating nitrogen and sulfur co-doped carbon (NSC). A series of catalysts Ni/Al2O3 and its NSC-modified counterparts (Ni1NSC/Al2O3, Ni3NSC/Al2O3, Ni7NSC/Al2O3, and Ni15NSC/Al2O3) were synthesized via thermal treatment under a nitrogen atmosphere and systematically characterized. Techniques including TGA, Raman spectroscopy, and XPS confirmed successful NSC incorporation. Further structural and surface analysis using TEM, XRD, CO-IR, CO2-TPD, H2-TPD, and H2-TPR revealed that NSC modification influenced Ni dispersion, surface basicity, hydrogen activation, and the electronic state of Ni species. Catalytic performance was evaluated in a fixed-bed reactor under a CO2:H2 ratio of …

Graduate School Academic Catalog 2024-2025, Graduate School Of Engineering And Management, Air Force Institute Of Technology, Walter F. Jones

AFIT Documents

No abstract provided.

Strain-Dependent Activity-Stability Relations In Ruo2 And Iro2 Oxygen Evolution Catalysts, Payal Chaudhary, Alexandra Zagalskaya, Herbert Over, Vitaly Alexandrov

Department of Chemical and Biomolecular Engineering: Faculty Publications

Strain engineering is an effective strategy in modulating activity of electrocatalysts, but the effect of strain on electrochemical stability of catalysts remains poorly understood. In this work, we combine ab initio thermodynamics and molecular dynamics simulations to examine the role of compressive and tensile strain in the interplay between activity and stability of metal oxides considering RuO₂ and IrO₂ as exemplary catalysts. We reveal that although compressive strain leads to improved activity via the adsorbate-evolving mechanism of the oxygen evolution reaction, even small strains should substantially destabilize these catalysts promoting dissolution of transition metals. In contrast, our results …

Thought Quantification With A Single-Channel Eeg Bci System, Michael Angelo De La Cruz Ortiz

Undergraduate Research Posters 2024

BCI (Brain-Computer Interfaces) implement various aspects of brain activity monitoring and analysis technologies. EEG (electroencephalogram) has proven to be a viable way to safely probe electromagnetic brain activity through non-surgical means. However, these devices are not viable for everyday consumer use, specifically amongst people with disabilities. This project aims to develop a means of processing data to optimize the use of a single-channel EEG. For this purpose, the output of a mind flex headset by Mattel was processed to quantify six different thought commands (up, down, left, right, forward, backward) from one subject. The data was analyzed via a computational …

Prediction Of Carbonation Capacity Of Scms Using Ensemble Learning Method, Kangyi Cai, Jian Liu, Edward Mwanza, Mahelet G. Fikru, Hongyan Ma, Donald C. Wunsch

Economics Faculty Research & Creative Works

The utilization of supplementary cementitious materials (SCMs) subjected to carbonation processing represents a viable strategy to mitigate anthropogenic CO₂ emissions associated with concrete production, potentially contributing to the achievement of carbon neutrality. However, existing studies have limitations in effectively predicting the varying carbonation capacities of different SCMs, a gap that this research aims to address. Recent research efforts focused on the carbonation of waste-material-sourced SCMs are reviewed, along with a comparative discussion on diverse carbonation methods. A detailed data set encapsulating the properties of SCMs, and carbonation configurations was compiled. At the same time, six ensemble learning models were …

Pattern Recognition For Wettability Alteration With Surfactants In Carbonate Reservoirs By Using Machine Learning, Y. Yao, Mingzhen Wei, M. Ali, Y. Qiu, Y. Cui, J. Leng

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Surfactants Are Widely Applied Agents to Interact with the Adsorbates on Carbonate Rock Surface, Which Could Alter Wettability from Oil-Wetness to Water-Wetness and Thus Enhance Oil Recovery. Surfactant Huff-Puff is Often Conducted to Achieve Wettability Alteration and Has Been Applied under Various Conditions. Currently, Many Investigations Have Been Reported to Apply Conventional Data Analysis Methods to Analyze Different Sets of Surfactant Huff-Puff Projects. Yet the Application of Machine Learning Algorithms to Reveal the Inherent Patterns is Rarely Reported. in This Study, We Integrate Principal Component Analysis (PCA) with Hierarchical Clustering Algorithm (HCA) to Uncover the Hidden Patterns Embedded in Global …

Optimized Path Planning For Defect Inspection Based On Effective Region Coverage, Tai Wai, David Chik, Chi Shing Wong

Staff Publications

A movable camera travels along an inspection path for optically inspecting an inspection surface of an object for defect detection. In planning the inspection path, a set of viewpoints on the inspection surface is generated. Each viewpoint is associated with a patch, which is a largest area of the inspection surface within a field of view (FOV) of the camera when the camera is located over the viewpoint for capturing an image of FOV. An effective region of the patch is advantageously predicted by a neural network according to a three-dimensional geometric characterization of the patch such that the predicted …

Case Studies Of Restapi And Graphql Architectures, Janni Daniel Balraj, Gary Clynch

Academic Poster Collection

The adoption of microservices architecture has experienced significant growth, driven by its appeal in terms of modularity, scalability, and deployment ease. However, this proliferation of microservices has intensified the demand for efficient data exchange among them. While REST API has long been the standard protocol for microservices communication, its limitations in flexibility and performance have spurred the ascent of GraphQL as a more efficient alternative, as highlighted by studies comparing their performance. As the number of microservices continues to rise, traditional methods like REST APIs prove challenging, leading to issues such as over-fetching or under-fetching of data. GraphQL addresses these …

Nebraska Water Center Annual Report 2024

Nebraska Water Center: Administrative Materials

The report's highlights updates including ongoing research, know your well, and the Nebraska master irrigator launch.

Thermo-Mechanical Stability Analysis Of Hollow Cellular Concrete Block Air Convection Embankments For Cold Regions, H. Wu, X. Zhang, J. Liu

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Crushed-rock air convection embankment (ACE), as a highly open-graded porous medium, has been used to mitigate the thaw settlement of pavement structures in permafrost regions. Previous studies have revealed that cellular concrete has significant potential as a cost-effective material for ACE to solve the problem of crushed rock shortage in interior Alaska and improved the thermal stability of pavement structures in cold climates. the design configurations of the hollow cellular concrete block ACE were further designed to maximize the performance benefits and facilitate future implementation and field construction. However, the mechanical behaviors of the proposed structures and ice-rich subgrade were …

Introducing The Engineering Design Process To First-Year Students With A Project Focused On Offshore Wind Energy, Gordon Stewart, Maija A. Benitz, Lillian C. Jeznach, Charles R. Thomas

Engineering, Computing & Construction Management Faculty Publications

This is a complete evidence-based practice paper. In 2019, a new semester-long course project was developed for our university’s first-year engineering program that aimed to introduce students to the engineering design process (EDP) in an engaging and relevant way. Students in our small undergraduate-only engineering program earn Bachelors of Science degrees in Engineering, with a specialization in civil, computer, electrical, environmental, mechanical, or a custom area. Offshore wind energy was chosen as the project topic both for its relevance to the university’s coastal location and because it touches upon many of the subareas of engineering that students can specialize in. …

The Role Of Ai, Big Data And Predictive Analytics In Mitigating Unemployment Insurance Fraud, Siddikur Rahman, Md Abu Sayem, Shariar Emon Alve, Md Shahidul Islam, Muhammad Mahmudul Islam, Arifa Ahmed, Mohammed Kamruzzaman

Finance, Economics, and Data Analytics

The fraudulent claims for Unemployment Insurance (UI) have also risen massively in the United States especially during the onset of COVID-19 pandemic with billions of dollars that were lost. These approaches applied formerly in fraud detection and prevention have been challenged by new and advanced fraud systems. For this reason, AI, Big Data and Predictive Analytics are now crucial for improving fraud mitigation in UI programs. The aim of this research is to understand how far AI, Big Data and Predictive Analytics have been utilized, for how effective they are and the barriers they pose in tackling unemployment insurance fraud …

การใช้แสงไฟในเวลากลางคืนจากดาวเทียม คาดการณ์การใช้น้ำประปาของประเทศไทย, เจษฎายุทธ ไกรนรา

Chulalongkorn University Theses and Dissertations (Chula ETD)

งานวิจัยนี้นำเสนอการใช้ประโยชน์จากภาพถ่ายแสงไฟในเวลากลางคืนจากดาวเทียม (Night time light) และข้อมูลอื่น ๆ จากดาวเทียม มาเปรียบเทียบความสัมพันธ์กับการใช้น้ำประปา (ปริมาณน้ำจำหน่าย) ของจังหวัดต่าง ๆ ในประเทศไทย โดยวิธีการหาความสัมพันธ์ของปริมาณน้ำจำหน่ายกับข้อมูลที่ได้จากดาวเทียม เปรียบเทียบกับ ความสัมพันธ์ของปริมาณน้ำจำหน่าย กับข้อมูลจากหน่วยงานภาครัฐ ได้แก่ ผลิตภัณฑ์มวลรวมรายจังหวัด (GPP) จำนวนประชากรรายจังหวัด (POP) โดยการประยุกต์ใช้โปรแกรม QGIS แปลงข้อมูลจากดาวเทียม ได้แก่ ค่าแสงไฟในเวลากลางคืน (NTL) ค่าพื้นที่เมือง (URBAN) และค่าอุณหภูมิพื้นผิวในเวลากลางวัน (TEMP_DAY) ออกมาเป็นตัวเลขค่าเฉลี่ยรายจังหวัด เมื่อนำผลลัพธ์ที่ได้มาวิเคราะห์ความสัมพันธ์ระหว่างปริมาณน้ำจำหน่ายกับข้อมูลที่ได้จากดาวเทียม พบว่าข้อมูลที่ได้จากดาวเทียมสามารถใช้เป็นตัวแทนของข้อมูลจากภาครัฐได้ค่อนข้างดี คือสามารถใช้เป็นตัวได้จำนวน 3 กลุ่มจังหวัด คิดเป็นร้อยละ 28 ของทั้งประเทศ ดังนั้น จึงสรุปได้ว่าแสงไฟในเวลากลางคืน และข้อมูลอื่น ๆ จากดาวเทียมสามารถนำมาเป็นตัวชี้วัดและนำมาใช้ประโยชน์ในการวางแผนการขยายระบบประปาในอนาคตได้อย่างมีประสิทธิภาพ คำสำคัญ: แสงไฟในเวลากลางคืน (Nighttime Light), การใช้น้ำประปาของประเทศไทย

Prediction Of Stratified Ground Consolidation Via A Physics-Informed Neural Network Utilizing Short-Term Excess Pore Water Pressure Monitoring Data, Weibing Gong, Linlong Zuo, Lin Li, Hui Wang

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Predicting stratified ground consolidation effectively remains a challenge in geotechnical engineering, especially when it comes to quickly and dependably determining the coefficient of consolidation ((Formula presented.)) for each soil layer. This difficulty primarily stems from the time-intensive nature of the consolidation process and the challenges in efficiently simulating this process in laboratory settings and using numerical methods. Nevertheless, the consolidation of stratified ground is crucial because it governs ground settlement, affecting the safety and serviceability of structures situated on or in such ground. In this study, an innovative method utilizing a physics-informed neural network (PINN) is introduced to predict stratified …

Assessing The Potential Of Uav-Based Multispectral And Thermal Data To Estimate Soil Water Content Using Geophysical Methods, Yunyi Guan, Katherine R. Grote

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Knowledge of the soil water content (SWC) is important for many aspects of agriculture and must be monitored to maximize crop yield, efficiently use limited supplies of irrigation water, and ensure optimal nutrient management with minimal environmental impact. Single-location sensors are often used to monitor SWC, but a limited number of point measurements is insufficient to measure SWC across most fields since SWC is typically very heterogeneous. To overcome this difficulty, several researchers have used data acquired from unmanned aerial vehicles (UAVs) to predict the SWC by using machine learning on a limited number of point measurements acquired across a …

Geochemical Assessment Of Mineral Sequestration Of Carbon Dioxide In The Midcontinent Rift, Alsedik Abousif, David J. Wronkiewicz, Abdelmoniem Masoud

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

This Study Examines The Potential Of Midcontinent Rift Rocks To Facilitate Long-Term CO2 Sequestration By Providing The Necessary Ca And Mg For Carbonate Mineralization. Surface Samples Were Collected From The Oronto And Bayfield-Jacobsville Groups Around Lake Superior And Used For Petrography And X-Ray Diffraction To Determine Their Mineral Composition. Also, X-Ray Fluorescence Was Also Used To Assess Their Bulk Chemical Composition. The Samples Were Then Exposed To CO2 And Deionized Water In Teflon-Lined Vessels At 90°C, And The Resulting Leachate Fluids Were Analyzed For The Cation Released During The Testing. SEM Microscopy Was Used To Examine The Samples For Potential …

Would Self-Supported Fracture Contribute To The Hydrocarbon Production In Shale Reservoir Besides Proppant-Supported Fracture, Y. Sun, G. Li, S. Zeng, J. Wu, J. Liu, M. Xu, C. Dai, Baojun Bai

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

During hydraulic fracturing in deep shale gas reservoirs, it is difficult to pump proppants long distances, and self-supported fractures are formed at the far and upper ends of the fractures. The self-supported fracture could hold the fracture space by its surface structure again fracture closure. However, it faces various aspects of impairment during shale gas reservoir development, which affect its conductivity. Among the impairment, long-term production results in a decline of bottom hole pressure, which will compact the fracture space, and self-supported fractures without proppant are more sensitive than those with proppant. In this paper, we conducted a series of …

Circular Economy Strategies For Reducing Embodied Carbon In Us Commercial Building Stocks: A System Dynamics Modeling Approach, Radwa Eissa, Islam H. El-Adaway

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Environmental concerns over embodied carbon - which is generated during the extraction, transportation, manufacturing, construction, and disposal of building materials - have been increasing as the industry shifts to renewable energy and grid decarbonization efforts prevail. Commercial buildings, a rapidly growing sector and a major source of embodied carbon, can contribute immensely to the national climate goals by transitioning into a circular economy (CE). Nevertheless, embodied carbon research is rather dispersed, with sparse data on the actual impact of different CE strategies and how they scale on nationwide commercial building stocks. To address this research need, the goal of this …

Ai And Workforce Development: A Comparative Analysis Of Skill Gaps And Training Needs In Emerging Economies, Gursahildeep Singh Sidhu, Md Abu Sayem, Nazifa Taslima, Ahmed Selim Anwar, Fariba Chowdhury, Manataka Rowshon

Finance, Economics, and Data Analytics

AI is developing quickly and offers considerable prospects for economic development; nevertheless, it presents crucial challenges for instance, skills development and its effect on employee's jobs in developing economies. This research will seek to establish the current state of AI related skills deficits and training in these economies to establish how governments and organizations can close the gaps by preparing the workforce for the future AI revolution. In line with the research questions, the following emerges as the research problem: To what extent have emerging market companies embraced AI? What key skills are scarce both in the internal and external …

Dung Dkar Cloak: Exploring Soft Interfaces For Sonic Interactions, Judit Eszter Kárpáti, Esteban De La Torre

Textile Society of America: Symposium Proceedings

The importance of crossmodal interaction within the contemporary cultural, technological and scientific panorama has evidently gained significant attention due to its remarkable advantages in creating a meaningful, interwoven, and integrated experience. The use and recontextualization of textiles in such exploratory quest into the human senses has proven to be critical. Computational science, algorithmic logic and digital devices have always been rooted and closely interwoven with textile crafts and practices. Recent technological advancements have further combined technology and textile, generating interactive textile surfaces, constructing endless possibilities for multisensorial experiences. In this presentation we will examine how we can weave a sensitive …