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Articles 20581 - 20610 of 198086
Full-Text Articles in Engineering
Effectiveness Evaluation Of Heterogeneous Uav Swarms Based On A Hybrid Model, Yuanjie Lu, Shanshan Long, Hang Zhao, Guoxu Feng, Xiaojia Zhao
Effectiveness Evaluation Of Heterogeneous Uav Swarms Based On A Hybrid Model, Yuanjie Lu, Shanshan Long, Hang Zhao, Guoxu Feng, Xiaojia Zhao
Journal of System Simulation
Abstract: This paper presents a hybrid model based on availability dependability capability (ADC) system performance evaluation and back propagation (BP) neural network prediction to realize a rapid performance evaluation of UAV swarms and cope with the diversity of UAV swarm configuration and state and the complexity of performance calculation. By analyzing the components of swarm performance, a capability index system including the general platform capability, system-level capability, and task execution capability of UAVs is established. By using the ADC method, a swarm combat performance sample set is generated, and the BP neural network is used to construct a comprehensive combat …
Synergistic Preparation And Application In Pcu Of Α‑Calcium Sulfate Hemihydrate Whiskers From Phosphogypsum And Electrolytic Manganese Residue, Ting Wang, Xuan Ke, Jia Li, Ying Wang, Weiwei Guan, Xia Sha, Chenjing Yang, Tian Zhang
Synergistic Preparation And Application In Pcu Of Α‑Calcium Sulfate Hemihydrate Whiskers From Phosphogypsum And Electrolytic Manganese Residue, Ting Wang, Xuan Ke, Jia Li, Ying Wang, Weiwei Guan, Xia Sha, Chenjing Yang, Tian Zhang
Department of Civil and Environmental Engineering: Faculty Publications
The α-calcium sulfate hemihydrate whiskers (α-CSHWs) were first prepared using phosphogypsum (PG) and electrolytic manganese residue (EMR) as raw materials for coating urea, demonstrating excellent controlled-release properties. The effects of different reaction conditions on α-CSHWs, achieved by optimizing the reaction time, the concentrations of NH4+, Mn2+, and other factors, were discussed. Results showed that when the EMR content was 25 wt%, the reaction temperature was 100 °C, and the reaction time was 3 h, α-CSHWs with a length-to-diameter ratio of 39 were obtained. Through experiments and density functional theory (DFT), the mechanism of α-CSHWs preparation …
Intelligent Protection Scheme Using Combined Stockwell-Transform And Deep Learning-Based Fault Diagnosis For The Active Distribution System, Latha Maheswari Kandasamy, Kanakaraj Jaganathan
Intelligent Protection Scheme Using Combined Stockwell-Transform And Deep Learning-Based Fault Diagnosis For The Active Distribution System, Latha Maheswari Kandasamy, Kanakaraj Jaganathan
Turkish Journal of Electrical Engineering and Computer Sciences
This study aims to perform fast fault diagnosis and intelligent protection in an active distribution network (ADN) with high renewable energy penetration. Several time-domain simulations are carried out in EMTP-RV to extract time-synchronized current and voltage data. The Stockwell transform (ST) was used in MATLAB/SIMULINK to preprocess these input datasets to train the adaptive fault diagnosis deep convolutional neural network (AFDDCNN) for fault location identification, fault type identification, and fault phase-detection for different penetration levels. Based on the AFDDCNN output, the intelligent protection scheme (IDOCPS) generates the signal for isolating a faulty section of the ADN. An intelligent fault diagnosis …
Advanced Hyperthermia Treatment: Optimizing Microwave Energy Focus For Breast Cancer Therapy, Burak Acar, Tuba Yilmaz Abdolsaheb, Ali Yapar
Advanced Hyperthermia Treatment: Optimizing Microwave Energy Focus For Breast Cancer Therapy, Burak Acar, Tuba Yilmaz Abdolsaheb, Ali Yapar
Turkish Journal of Electrical Engineering and Computer Sciences
This paper presents a fast antenna phase optimization scheme to enable microwave power focusing for breast cancer hyperthermia. The power focusing is achieved through the maximization of the deposited electric field on the target malignant tumor tissue. To do so, a malignant breast tumor, the surrounding breast medium, and the skin of the breast are modeled as a cylindrical structure composed of eccentric cylinders, and electric field distribution is computed analytically in terms of cylindrical harmonics. This approach minimized the computational cost and simplified the breast medium model. To ensure applicability across various breast types, the dielectric properties (DPs) of …
Atomic Comagnetometer Gyroscopes For Inertial Navigation Systems: A Review, Murat Salim Karabinaoglu, Bekir Çakir, Mustafa Engin Başoğlu
Atomic Comagnetometer Gyroscopes For Inertial Navigation Systems: A Review, Murat Salim Karabinaoglu, Bekir Çakir, Mustafa Engin Başoğlu
Turkish Journal of Electrical Engineering and Computer Sciences
In recent years, developments in quantum sensing, laser, and atomic sensor technologies have also enabled advancement in the field of quantum navigation. Atomic-based gyroscopes have emerged as one of the most critical atomic sensors in this respect. In this review, a brief technology statement of spin exchange relaxation free (SERF) and nuclear magnetic resonance (NMR) type atomic comagnetometer gyroscope (CG) is presented. Related studies in the literature have been gathered, and the fundamental compositions of CGs with technical basics are presented. A comparison of SERF and NMR CGs is provided. A basic simulation of SERF CG was carried out because …
Uncovering And Mitigating Spurious Features In Domain Generalization, Saeed Karimi, Hamdi̇ Di̇bekli̇oğlu
Uncovering And Mitigating Spurious Features In Domain Generalization, Saeed Karimi, Hamdi̇ Di̇bekli̇oğlu
Turkish Journal of Electrical Engineering and Computer Sciences
Domain generalization (DG) techniques strive to attain the ability to generalize to an unfamiliar target domain solely based on training data originating from the source domains. Despite the increasing attention given to learning from multiple training domains through the application of various forms of invariance across those domains, the enhancements observed in comparison to ERM are nearly insignificant under specified evaluation rules. In this paper, we demonstrate that the disentanglement of spurious and invariant features is a challenging task in conventional training since ERM simply minimizes the loss and does not exploit invariance among domains. To address this issue, we …
Lower Data Attacks On Advanced Encryption Standard, Orhun Kara
Lower Data Attacks On Advanced Encryption Standard, Orhun Kara
Turkish Journal of Electrical Engineering and Computer Sciences
The Advanced Encryption Standard (AES) is one of the most commonly used and analyzed encryption algorithms. In this work, we present new combinations of some prominent attacks on AES, achieving new records in data requirements among attacks, utilizing only 2 4 and 2 16 chosen plaintexts (CP) for 6-round and 7-round AES 192/256, respectively. One of our attacks is a combination of a meet-in-the-middle (MiTM) attack with a square attack mounted on 6-round AES-192/256 while another attack combines an MiTM attack and an integral attack, utilizing key space partitioning technique, on 7-round AES-192/256. Moreover, we illustrate that impossible differential (ID) …
Effects Of Unobservable Bus States On Detection And Localization Of False Data Injection Attacks In Smart Grids, Moheb Abdelmalak
Effects Of Unobservable Bus States On Detection And Localization Of False Data Injection Attacks In Smart Grids, Moheb Abdelmalak
USF Tampa Graduate Theses and Dissertations
In an era increasingly marked by sophisticated cyber-attacks, this thesis investigates the critical issue of bus unobservability in smart grids and its impact on the effectiveness of cyber-attack detection and localization models. Given that unobservability is a prevalent challenge in smart grids due to various factors, researchers have developed numerous algorithms for optimal Phasor Measurement Unit (PMU) placement under scenarios of limited observability. However, these models primarily focus on enhancing network observability, often without considering whether this placement optimally facilitates attack detection. This research is driven by the hypothesis that a deeper understanding of the effects of unobservable buses can …
Evaluation Of Infrared Thermography Dataset For Delamination Detection In Reinforced Concrete Bridge Decks, Eberechi Ichi, Sattar Dorafshan
Evaluation Of Infrared Thermography Dataset For Delamination Detection In Reinforced Concrete Bridge Decks, Eberechi Ichi, Sattar Dorafshan
Civil Engineering Faculty Publications
Structural health monitoring and condition assessment of existing bridge decks is a growing challenge. Conventional manned inspections are costly, labor-intensive, and often risky to execute. Sub-surface delamination, a leading cause of deck replacement, can be autonomously and objectively detected using infrared thermography (IRT) data with developed deep learning AI models to address some of the limitations associated with manned inspection. As one of the most promising classifiers, deep convolutional neural networks (DCNNs) have not been utilized to their fullest potential for delamination detection, arguably due to the scarcity of realistic ground truth datasets. In this study, a common encoder–decoder semantic …
Under Pressure: The Soft Robotic Clap-And-Fling Of Cuvierina Atlantica, Daniel Mead
Under Pressure: The Soft Robotic Clap-And-Fling Of Cuvierina Atlantica, Daniel Mead
USF Tampa Graduate Theses and Dissertations
Evolution over billions of years has led to unique animals of all types. The tiny sea butterfly is one that remains mostly anonymous because of its size and low place on the food chain, but it is a swimming creature that when examined closely reveals a surprise. Shockingly, it has a swimming motion nearly identical to small insects flying at intermediate Reynolds numbers, referred to as the clap-and-fling. The centimeter long pteropod flapping briskly at 5Hz escapes attention with its size and speed. Modeling the clap-and-fling motion of the sea butterfly at a larger scale allows the benefits and uniqueness …
Nutrient Removal Of Biochar Amended Modified Bioretention Systems Treating Nursery Runoff, Nicholas Richardson
Nutrient Removal Of Biochar Amended Modified Bioretention Systems Treating Nursery Runoff, Nicholas Richardson
USF Tampa Graduate Theses and Dissertations
Excess inputs of nutrients, such as nitrogen and phosphorus, to surface water bodies can lead to the presence of harmful algal blooms (HABs). HABs can damage their surrounding environments and the economies dependent on them. Nutrient pollution can be properly controlled and monitored at point-sources, such as wastewater treatment plants, but is more difficult to control for non-point sources, such as fertilizer runoff. One form of fertilizer runoff that remains overlooked is runoff from plant nurseries. Controlled release fertilizers (CRFs) embedded in plant containers at nurseries can leach excess nutrients into the runoff. For nurseries in Florida, best management practices …
Unmanned Aircraft Systems In Road Assessment: A Novel Approach To The Pavement Condition Index And Vizir Methodologies, Diana Marcela Ortega Rengifo, Jose Capa Salinas, Javier Alexander Perez Caicedo, Manuel Alejandro Rojas Manzano
Unmanned Aircraft Systems In Road Assessment: A Novel Approach To The Pavement Condition Index And Vizir Methodologies, Diana Marcela Ortega Rengifo, Jose Capa Salinas, Javier Alexander Perez Caicedo, Manuel Alejandro Rojas Manzano
Purdue University Libraries Open Access Publishing Fund
This paper presents an innovative approach to road assessment, focusing on enhancing the Pavement Condition Index (PCI) and Visión Inspection de Zones et Itinéraires Á Risque (VIZIR) methodologies by integrating Unmanned Aircraft System (UAS) technology. The research was conducted in an urban setting, utilizing a UAS to capture high-resolution imagery, which was subsequently processed to generate detailed orthomosaics of road surfaces. This study critically analyzed the discrepancies between traditional field measurements and UAS-derived data in pavement condition assessment. The study findings demonstrate that photogrammetry-derived data from UAS offer at least similar or, in some cases, improved information on the collection …
Investigating Gulf Coast Aquifer System: Stratigraphy Reconstruction, Inverse Modeling, And Groundwater Stress Assessment, Shuo Yang
LSU Doctoral Dissertations
The Mississippi Embayment aquifer system (MEAS) and the Coastal Lowlands aquifer system (CLAS) provide substantial groundwater resources for human activities in the U.S. Gulf Coastal Plain. However, the overexploitation has led to groundwater depletion in the MEAS and the CLAS, threatening sustainable groundwater use. Such concern highlights the crucial need for an advanced understanding of stratigraphy and groundwater in these aquifer systems, which is essential for effective regional groundwater management. This dissertation presents a comprehensive investigation of MEAS and CLAS in the Louisiana and southwestern Mississippi region, encompassing three fundamental dimensions: stratigraphy reconstruction, groundwater modeling, and groundwater stress assessments. A …
Consensus-Based Virtual Leader Tracking Algorithm For Flight Formation Control Of Swarm Uavs, Berat Yıldız, Akif Durdu, Ahmet Kayabaşi
Consensus-Based Virtual Leader Tracking Algorithm For Flight Formation Control Of Swarm Uavs, Berat Yıldız, Akif Durdu, Ahmet Kayabaşi
Turkish Journal of Electrical Engineering and Computer Sciences
Technological developments in industrial areas also impact unmanned aerial vehicles (UAVs). Recent improvements in both software and hardware have significantly increased the use of many UAVs in social and military fields. In particular, the widespread use of these vehicles in social areas such as entertainment, shipping, transportation, and delivery and military areas such as surveillance, tracking, and offensive measures has accelerated the research on swarm systems. This study examined the previous investigations on swarm UAVs and aimed to create a more efficient algorithm. The effectiveness of the proposed algorithm was compared with other leader-based applications. A swarm consisting of 5 …
Cascade Controller Design Via Controller Synthesis For Load Frequency Control Of Electrical Power Systems, Yavuz Güler, Mustafa Nalbantoğlu, Ibrahim Kaya
Cascade Controller Design Via Controller Synthesis For Load Frequency Control Of Electrical Power Systems, Yavuz Güler, Mustafa Nalbantoğlu, Ibrahim Kaya
Turkish Journal of Electrical Engineering and Computer Sciences
The regulation of tie-line electricity flow and frequency of electrical power systems (EPS) is crucial for ensuring their robustness to parameter changes and efficient management of disturbances. To this end, a novel cascade control design approach utilizing a serial Proportional-Integral-Derivative controller with a filter (PIDF) is proposed in this paper. The parameters of the controllers are derived analytically, and it is employed in both loops of the cascade control system to regulate the Load Frequency Control (LFC) of EPS. The implementation of PIDF controllers in both loops is utilized in the cascade control scheme for various power systems featuring different …
Anti-Phishing Approach For Iot System In Fog Networks Based On Machine Learning Algorithms, Mahmoud Gad Awwad, Mohamed M. Ashour, El Said A. Marzouk, Eman Abdelhalim
Anti-Phishing Approach For Iot System In Fog Networks Based On Machine Learning Algorithms, Mahmoud Gad Awwad, Mohamed M. Ashour, El Said A. Marzouk, Eman Abdelhalim
Mansoura Engineering Journal
As the Internet of Things (IoT) continues to expand, ensuring the security and privacyِ of IoT systems becomes increasingly critical. Phishing attacks pose a significant threat to IoT devices and can lead to unauthorized access, data breaches, and compromised functionality. In this paper, we propose an anti-phishing approach for IoT systems in fog networks that leverages machine learning algorithms, including a .fusion with deep learning techniques We explore the effectiveness of eleven traditional machine learning algorithms combined with deep learning in detecting and preventing phishing attacks in IoT systems. By utilizing a diverse range of algorithms, we aim to enhance …
Airport Energy Resiliency Roadmap And Implementation Steps, Susan Zellers
Airport Energy Resiliency Roadmap And Implementation Steps, Susan Zellers
Purdue Road School
An airport needs to meet current and future energy demands, while also being sustainable. However, service from the grid may be vulnerable to natural and human-caused events. ACRP Project 02-98 Airport Energy Resiliency Primer and Roadmap provides a guide to executing an airport energy resiliency program. The critical elements of an energy resiliency roadmap will be presented along with case study examples from airports moving toward energy resiliency.
Assessment Of Bridge Rehabilitation To Improve Asset Management, Brittany Bullard
Assessment Of Bridge Rehabilitation To Improve Asset Management, Brittany Bullard
Purdue Road School
The widespread availability of structural monitoring technologies has led to a rise in adaptable use across various structural systems. With the U.S. infrastructure aging, the integration of technologies during new construction and rehabilitation of infrastructure provides opportunities for assessing innovative designs and material uses to extend the life of assets. This presentation focuses on the assessment of the Indiana Toll Road bridge rehabilitations and the effectiveness of overlay materials and integration of link slabs.
Utility Rope-A-Dope: Muhammad Ali Approach To Conflict Analysis, Deborah Porter, Bill Read, Nathan Frey
Utility Rope-A-Dope: Muhammad Ali Approach To Conflict Analysis, Deborah Porter, Bill Read, Nathan Frey
Purdue Road School
Learn how to avoid getting hit with utility conflicts when they are coming at you quickly. Discussion will focus on designing around utilities; evaluating conflicts; right-of-way consideration for utility relocations; changes late in design and during construction; and lessons learned.
Civil Rights Nondiscrimination Information For Local Public Agencies, Taffanee Keys
Civil Rights Nondiscrimination Information For Local Public Agencies, Taffanee Keys
Purdue Road School
This session will discuss new ADA/Title VI.
Best Practices In Design For Preserving Limestone Curbs: A Project Managers Perspective, Larry Lawlor
Best Practices In Design For Preserving Limestone Curbs: A Project Managers Perspective, Larry Lawlor
Purdue Road School
Indiana limestone has been used in roadway construction projects for over 100 years. This session will discuss the best design practices when confronted with lime- stone curbing along historic streetscapes and neighbor- hoods. Additional practices will be discussed that make use of limestone curbs that cannot be preserved in place. Several examples will be shared to demonstrate how creative design and collaboration with consultants has resulted in limestone curb preservation.
Local Agency Workforce Challenges & Opportunities, Jennifer L. Sharkey
Local Agency Workforce Challenges & Opportunities, Jennifer L. Sharkey
Purdue Road School
This session will explore the workforce issues faced by Indiana’s local road agencies and provide strategies to inform local leaders and policy makers.
Exit 10 Renovations, Will Deuter, Jim Earl
Exit 10 Renovations, Will Deuter, Jim Earl
Purdue Road School
Built in 1956, the infrastructure at Exit 10 of the Indiana Toll Road (ITR) needed multiple repairs, including bridge rehabilitation, pavement restoration, and lighting improvements. ITRCC invested in cost-effective renovations on 12 bridges in the Exit 10 vicinity that that would reduce long-term maintenance. The project experienced challenges due to the complexity of construction and mainline work occurring simultaneously to accelerate construction. This presentation will focus on the design approach, contractor procurement, and construction of this investment.
Use Of Gpr To Evaluate Pavement Subgrade Problems, Sung Min Yoon, Cherif Amer-Yahia
Use Of Gpr To Evaluate Pavement Subgrade Problems, Sung Min Yoon, Cherif Amer-Yahia
Purdue Road School
Ground penetrating radar (GPR) is a non-destructive field test that can provide a continuous profile of existing road conditions. It has the potential to be used for a variety of pavement applications, including measuring the thickness of asphalt pavement structure and assisting in the analysis of pavement distress mechanisms. We will share the experiences gained from GPR testing to evaluate pavement subgrade problems.
Urban Services District Lighting Study, Kyle Henderson, Andrea Bland, Dick Gowin
Urban Services District Lighting Study, Kyle Henderson, Andrea Bland, Dick Gowin
Purdue Road School
The Louisville-Jefferson County Metro Government addressed areas within the right-of-way that had poor lighting levels and might contribute to vehicle crashes or crime occurrence. GIS data from the state and local government was used to identify hot spots where additional lighting might be desired. These hot spots were evaluated, and additional lighting locations were recommended for implementation.
Innovation Through Adaptability: Navigating Project Complexities Spanning Natural Resources, Cultural Resources, Public Involvement, And More, Jennifer Beck, Adam Burns
Innovation Through Adaptability: Navigating Project Complexities Spanning Natural Resources, Cultural Resources, Public Involvement, And More, Jennifer Beck, Adam Burns
Purdue Road School
The US 31 and 236th Street Interchange project presented a number of challenges related to environmental coordination and mitigation, real estate acquisition, and public involvement. The project was able to not only construct a dual-roundabout interchange at 236th Street, but also successfully mitigated wetland and floodway impacts with on-site mitigation and by relocating a historic farmhouse and barn.
Broadband Equity, Access, And Deployment (Bead) Program, Monica Hartke-Tarr
Broadband Equity, Access, And Deployment (Bead) Program, Monica Hartke-Tarr
Purdue Road School
The federal government will allocate $42 billion to expand broadband across the U.S., thus providing Indiana with $100 million or more for unserved areas. This is a transformative opportunity for Indiana municipalities, but those without a clear plan risk missing out. Join us as we cover essential steps for securing broadband funds, applications, permits, and safe installations. Don’t miss the chance to benefit from this infrastructure investment!
Indot Mot Standards & Practices, David Boruff
Indot Mot Standards & Practices, David Boruff
Purdue Road School
We will share newly developed and revised standards, policies, and guidance for MOT planning. Revisions to INDOT’s Work Zone Traffic Control Guidelines—a good resource for shorter duration construction activities— and the recently issued Intelligent Work Zone Toolkit will be covered.
Better Project Management Using Microsoft Teams, Nathan Frey, Ryan Hughes, Drew Storey
Better Project Management Using Microsoft Teams, Nathan Frey, Ryan Hughes, Drew Storey
Purdue Road School
Post pandemic, many teammates are now working remotely a few days a week. This has created new challenges for delivering projects on time, within scope, and on budget, leading to Microsoft Teams to emerge as a guiding star. With seamless communication, file sharing, and collaborative tools, it transformed chaos into cohesion. Teammates, scattered across distances, united under its virtual roof and projects thrived in digital realms. Join us as we discuss how Teams has helped foster innovation and camaraderie.
Preserving Roads: Ensuring Municipalities’ Sustainable Infrastructure Future, Chad Denison, Bryan Sergesketter, Dave Paramski
Preserving Roads: Ensuring Municipalities’ Sustainable Infrastructure Future, Chad Denison, Bryan Sergesketter, Dave Paramski
Purdue Road School
This presentation explores the vital role of pavement preservation in maintaining and enhancing municipal infrastructure. This informative session delves into the benefits of proactive pavement management and highlights cost-effective strategies for prolonging road lifespan and minimizing long-term maintenance expenses. Attendees will gain insights into the latest preservation techniques, innovative technologies, and best practices for sustainable infrastructure development.