Engineering Commons^™

Flipper Control Method For Tracked Robot Based On Deep Reinforcement Learning, Hainan Pan, Bailiang Chen, Kaihong Huang, Junkai Ren, Chuang Cheng, Huimin Lu, Hui Zhang

Journal of System Simulation

Abstract: Tracked robots with flippers have certain terrain adaptation capabilities. To improve the intelligent operation level of robots in complex environments, it is significant to realize the flipper autonomously control. Combining the expert experience in obstacle crossing and optimization indicators, Markov decision process(MDP) modeling of the robot's flipper control problem is carried out and a simulation training environment based on physics simulation engine Pymunk is built. A deep reinforcement learning control algorithm based on dueling double DQN(D3QN) network is proposed for controlling the flippers. With terrain information and robot state as the input and the four flippers' angle as the …

Short-Term Bus Passenger Flow Prediction Based On Convolutional Long-Short-Term Memory Network, Jing Chen, Zhaochong Zhang, Linkai Wang, Mai An, Wei Wang

Journal of System Simulation

Abstract: To address the problem that the traditional short-time passenger flow prediction method does not consider the temporal characteristics similarity between the inter-temporal passenger flows, a shorttime passenger flow prediction model k-CNN-LSTM is proposed by combining the improved k-means clustering algorithm with the CNN and the LSTM. The k-means is used to cluster the intertemporal timeseries data, the k-value is determined by using the gap-statistic, and a traffic flow matrix model is constructed. A CNN-LSTM network is used to process the short-time passenger flows with spatial and temporal characteristics. The model is tested and parameter tuned by the real dataset. …

Ground Target Recognition And Damage Assessment Of Patrol Missiles Based On Multi-Source Information Fusion, Yibo Xu, Qinghua Yu, Yanjuan Wang, Ce Guo, Shiru Feng, Huimin Lu

Journal of System Simulation

Abstract: For the multiple patrol missiles to attack the high defense capacity targets, a mobile ground target detection and damage assessment method based on multi-source information fusion is proposed. The multi-source information fusion of infrared images and RGB images is carried out by using IoU determination. A novel two-stage tightly coupled damage assessment method based on YOLO-VGGNet of patrol missiles to mobile ground targets is proposed. This method can fully use the advantage of deep semantic information extraction of CNNs and introduce the infrared damaging information simultaneously to achieve the online and real-time damage assessment of mobile ground targets. The …

Application Of Foam Assisted Water-Alternating-Gas Flooding And Quantification Of Resistivity And Water Saturation By Experiment And Simulation To Determine Foam Propagation In Sandstone, Javed A. Khan, Jong Kim, Sonny Irawan, Karina A. Permatasar, Patrick G. Verdin, Baoping Cai, Nurudeen Yekeen

Research outputs 2022 to 2026

Foam flooding by Foam Assisted Water-Alternating-Gas (FAWAG) is an important enhanced oil recovery method that has proven successful in experimental and pilot studies. The present study is carried out to monitor the movement of the foam front once injected into the porous medium. This study aims to investigate applications of resistivity waves to monitor foam propagation in a sandstone formation. In the present lab-scale experiments and simulations, resistivity measurements were carried out to monitor the progression of foam in a sand pack, and the relationships between foam injection time and resistivity, as well as brine saturation, were studied. The brine …

Research Advances On Electric Vehicle Routing Problem Models And Algorithms, Helin Zhuang, Xiaoyun Xia, Kangshun Li, Zefeng Chen, Xianchao Zhang

Journal of System Simulation

Abstract: The development of electric vehicle provides an alternative to conventional fuel vehicles for logistics companies. Using electric vehicles has the merits of less pollution and low noise, but the characteristics of limited cruising range and limited number of charging stations are new challenges. Electric vehicle routing problems(EVRPs) have been widely used in transportation, logistics and other fields, and have received much attention. A comprehensive survey of EVRP and its many variants are presented and the respective backgrounds and applicable conditions are analyzed. The solving approaches of EVRPs are categorized, the strengths and weaknesses of each algorithm are analyzed, and …

Optimal Dispatch Of Microgrid Clusters Considering Energy Storage Life And Communication Failures, Jianfang Jiao, Anjie Wang, Guang Wang, Jiale Xie

Journal of System Simulation

Abstract: To ensure the economy and stability of microgrid operation, the power fluctuations of renewable energy source (RES) and the lifetime characteristics of battery energy storage system (BESS) should be considered. The influence of charging and discharging depth and rate on the lifetime of BESS is researched, a model of battery energy storage system for real-time optimal scheduling is established, and the alternating direction method of multipliers is adopted for the distributed optimal scheduling of microgrid clusters. The distributed optimization method does not require any global information and can protect the privacy of microgrid in the maximum extent. Simulation results …

Dynamic Spatio-Temporal Anomaly-Aware Correlation Filtering Object Tracking Algorithm, Yunfei Qiu, Xiangrui Bu, Boqiang Zhang

Journal of System Simulation

Abstract: In view of the fact that the background perception algorithm does not establish a relationship with the spatio-temporal domain characteristics of the target, and cannot accurately deal with the occlusion, deformation and other abnormal tracking, a object tracking algorithm which can adaptively perceive the spatio-temporal anomalies is proposed. In the training stage of correlation filter, the adaptive spatial regularization term is introduced to establish a relationship with the spatio-temporal characteristics of sample. The abnormal perception method is proposed according to the peak value of response map. Taking advantage of the different confidence of historical filter and the continuity of …

Fault Detection Based On Sliding Window And Multiblock Convolutional Autoencoders, Jianpeng Mou, Weili Xiong

Journal of System Simulation

Abstract: In order to further improve the fault detection performance and fully mine the timing and hidden feature information, a fault detection method based on convolutional auto encoder is proposed. On the basis of modeling the original information set, the modeling of cumulative information and rate of change information is added to enhance the mining of implicit information; The three reconstructed information sets are sampled by sliding windows, and time series feature extraction and modeling are performed based on convolutional auto encoders. Bayesian fusion of the decision results of the convolutional auto encoder is performed to obtain the statistics, and …

Improved Multi-Objective Swarm Algorithm To Optimize Wash-Out Motion And Its Simulation Experiment, Hui Wang, Le Peng

Journal of System Simulation

Abstract: Addressing the issues such as signal loss, distraction, and bad wash-out effect caused by improper parameter selection in classic wash-out algorithms, an improved multi-objective artificial bee colony algorithm is proposed to optimize the filter parameters of the classical wash-out algorithm to improve the effect. For the problems in the initialization and local optimization of traditional swarm algorithm, Circle mapping and Pareto local optimization algorithm are introduced. The human perception error model, acceleration difference model, and displacement model are established, and the model function is used as the objective function, the parameters of the classical wash-out algorithm is optimized by …

Bus Traffic Strategy Based On Immune Theory In Network Environment, Cao Li, Rui Zheng, Xiaolu Ma, Ziqiong Ding, Junyi Zhong, Sheng Zhang, Jingjing Qi

Journal of System Simulation

Abstract: In V2X network environment, the bus system can obtain dynamic global information and the bus traffic strategy is carried out based on the road scene between adjacent bus stops. The mathematical model of bus rapid traffic is constructed with the difference of green time ratio as the main parameter. A hybrid genetic operator is proposed on the basis of the combination of genetic algorithm and immune theory, the design of affinity, the selection of excellent antibodies. A bus traffic strategy based on immune theory is proposed on the basis of the improvement of adaptive crossover and mutation probability. The …

Research On Vehicle Detection Method Based On Improved Yolox-S, Xiliu Zhang, Xiaoling Zhang, Minjun He

Journal of System Simulation

Abstract: A improved vehicle detection model based on multi-scale feature fusion of YOLOX network is proposed to solve the problem of missing and false detection of small vehicle targets. Ghost-cross stage partial(CSP) based on the depth separable convolution is designed to replace part of cross stage partial in network to speed up the speed of detection. The max pooling mode of model is improved to Softpool mode, and coordinate attention mechanism is introduced to enhance the feature expression of target to be detected and to optimize the problem of target missing detection. Focal Loss is selected as the confidence loss …

Design And Application Of Hardware-In-The-Loop Simulation System For Infrared Imaging Guide Missile Test And Evaluation, Jianbin Dou, Xiaobing Wang, Hongjian Yang, Yulong Gao

Journal of System Simulation

Abstract: The characteristics of the army's conventional infrared imaging guide missile hardware-in-theloop simulation system used for test and evaluation is analyzed, and a system that can meet the test and evaluation requirement of infrared imaging guide missile is designed. The key technologies such as universal system design, rapid iterative development design of heterogeneous communication data, high radiation infrared interference dual channel coupling simulation, high-precision timing and synchronization, generation of complex battlefield environment are solved. The application of the system is verified on the typical anti-tank missile and helicopter borne missile tests. The system can be used for infrared imaging guide …

Design Of 3d Visualization Monitoring System For Oil Field Pumping Unit Based On Unity3d, Liqiang Liu, Wenlei Sun, Yi Wang, Bingkai Wang

Journal of System Simulation

Abstract: Aiming at the defects of single monitoring form, low degree of 3D visualization and poor linkage of pumping unit, the information-physical real-time mapping is introduced to develop the 3D visualization monitoring system for oil field pumping unit. The digital space of pumping unit are designed and the design architecture of virtual-real interaction layer is built. The composition and relation framework of 3D visualization system are built. Combined with the inverse kinematics, the mathematical model is built, and the overall architecture of the pumping unit 3D visualization system is designed based on the five-dimensional model and Unity3D platform. The beam …

Identification Of Strong Tremor Causes For Appropriate Rock Burst Prevention In A Hard Coal Mine, Rafał Pakosz, Łukasz Wojtecki, Maciej J. Mendecki, Agnieszka Krzyżanowska

Journal of Sustainable Mining

The exploitation carried out in the Bielszowice part of the Ruda Hard Coal Mine is mainly accompanied by seismic and rock burst hazards. The occurrence of high-energy tremors may be associated with many factors, e.g., fracturing of thick layers of high-strength rocks or destruction processes of a stressed and/or thick coal seam. These factors are often combined when excavating a single longwall panel. Determining the causes of strong tremors is of fundamental importance for mining and rock burst prevention. The extraction of the 004z longwall panel in the top layer of coal seam No. 504 was designed in complex geological …

A Double Taboo? An Exploratory Study Of Mental Health Perceptions Amongst Black Aerospace Professionals, Theodore W. Johnson Ph.D., Arlean Timmons, Kenisha V. Ford, Harriet Sanya

National Training Aircraft Symposium (NTAS)

This exploratory study delves into the often-overlooked realm of mental health perceptions among Black aerospace professionals, shedding light on a double taboo within a historically stigmatized industry and community. In response to the escalating mental health crisis in the U.S. and scarcity of research focusing exclusively on the mental health experiences of Black aerospace professionals, this research endeavors to uncover their unique perspectives.

The findings from the study indicate that Black aerospace professionals navigate not only the universal challenges of mental health but also complex socio-cultural and workplace factors, such as discrimination, underrepresentation, and the historic reluctance to discuss mental …

Green Skies Over Akron: “Revolutionizing Cak With A $20m Sustainability Blueprint", Oluwasemilore A. Akintelure, Kyle Rediger, Katie Horn

National Training Aircraft Symposium (NTAS)

Our groundbreaking research at Akron-Canton Airport (CAK) proposes a transformative $20 million electrical master plan, designed to revolutionize the airport into a sustainable aviation hub and an Advanced Air Mobility (AAM) leader - a unique stance compared to similar airports in its economic corridor. This initiative, poised to impact millions of travelers, integrates cutting-edge solar panel installations and infrastructure for electric Vertical Take-Off and Landing (eVTOL) vehicles. Our comprehensive analysis, encompassing energy consumption, economic impacts, and risk assessments, underpins this ambitious project. The implementation of green energy solutions is projected to substantially reduce CAK's carbon footprint, leading to a healthier …

Going Airborne: Kent State's Pioneering Leap Into Integrated Advanced Air Mobility, Jason T. Lorenzon

National Training Aircraft Symposium (NTAS)

This proposal centers on the development of a Concept of Operations in Advanced Air Mobility (AAM). Kent State University's College of Aeronautics and Engineering is poised to pioneer the integration of drones and electric Vertical Takeoff and Landing (eVTOL) systems, bridging the gap between its campus and airport by transporting students and faculty the 3NM distance from campus to the airport and back by a UAV. Beyond a standard research initiative, this proposal signifies a groundbreaking effort to reshape the landscape of educational aeronautics and Advanced Air Mobility and Urban Air Mobility. Our overarching goal is to transcend conventional boundaries …

Shaping Aam Educational Methods: A Comparison Of Traditional And Compressed Class Schedules In Uas Classes., Collin D. Mcdonald, Daniel Siao, Kevin Corns

National Training Aircraft Symposium (NTAS)

Advanced Air Mobility (AAM) is a paradigm shift in the versatility of the aviation industry. The obvious benefits of this platform will revolutionize a variety of aspects of the industry. One of the aspects in which the Federal Aviation Administration (FAA) has recommended research is the effectiveness of the traditional educational methods. Spurred by the COVID-19 pandemic, online teaching methodologies have become widely accepted in aviation. In addition, the format of traditional, instructor-led courses have also changed. Compressed schedules (accelerated courses) have become an additional option in some programs.

To better understand if there are statistically significant differences in testing …

Understanding Collegiate Aviation Pilot Mental Performance Studies And Future Research Opportunities, Debra Henneberry, Stephanie Brown, Flavio Coimbra, Julius Keller

National Training Aircraft Symposium (NTAS)

According to the Federal Aviation Administration (2022), fatigue is defined as “a condition characterized by increased discomfort with lessened capacity for work, reduced efficiency of accomplishment, loss of power or capacity to respond to stimulation, and is usually accompanied by a feeling of weariness and tiredness” (p. 2). Further outcomes of fatigue include tiredness, weakness, lack of energy, lethargy, depression, and lack of motivation (ICAO, 2016). Stress can release cortisol which can in turn cause sleep issues leading to fatigue (Harvard, 2021). In one study Mendonca, Keller, and Albelo (2023) found 69% (n = 192) percent of collegiate aviation pilots …

Examination Of Urban Air Mobility Integration Into The National Airspace System, Richard Stansbury, Clyde Rinkinen, William B. Coyne, Mykyta Zhyla, Randon Senn, Maaliyah Bowden

National Training Aircraft Symposium (NTAS)

The Advanced Air Mobility (AAM) initiative aims to enhance air transportation for people and cargo in areas with limited aviation services. The Urban Air Mobility (UAM) concept, under AAM, focuses on improving transportation connectivity within metropolitan areas. The FAA’s ASSURE UAS Center of Excellence has sponsored a project to provide recommendations for future technological developments, UAM airspace integration, infrastructure enhancements, and new regulations to support UAM flights. The team’s first milestone was a literature review to identify past work relevant to UAM, including airspace and operational constraints, infrastructure requirements, and communication, navigation, and surveillance (CNS) requirements. Two dominant concepts of …

Integrating Unmanned Aerial Systems For Enhanced Wildlife Hazard Assessment In Airport Environments, Savanna Box, Anna Golendukhina, Raymond Ayres, Nicholas Buckalew

National Training Aircraft Symposium (NTAS)

Our team has explored the use of Unmanned Aerial Systems (UAS) technologies to develop a concept of operations for data collection during a Wildlife Hazard Assessment. Data have been collected in a farmland area located two nautical miles south of Daytona Beach International Airport (Class C Airspace). The research team has applied and assessed the effectiveness of several Safety Risk Management protocols designed to ensure safe UAS operations during a WHA. The UAS crew has applied drone technologies to visually detect and record wildlife observations, activities, and natural habitats that could attract wildlife to the airport environment, as recommended by …

Using Natural Language Processing To Identify Mental Health Indicators In Aviation Voluntary Safety Reports, Michael Sawyer, Katherine Berry, Amelia Kinsella, R Jordan Hinson, Edward Bynum

National Training Aircraft Symposium (NTAS)

Voluntary Safety Reporting Programs (VSRPs) are a critical tool in the aviation industry for monitoring safety issues observed by the frontline workforce. While VSRPs primarily focus on operational safety, report narratives often describe factors such as fatigue, workload, culture, staffing, and health, directly or indirectly impacting mental health. These reports can provide individual and organizational insights into aviation personnel's physical and psychological well-being. This poster introduces the AVIation Analytic Neural network for Safety events (AVIAN-S) model as a potential tool to extract and monitor these insights. AVIAN-S is a novel machine-learning model that leverages natural language processing (NLP) to analyze …

Implications Of Lithium-Ion Cell Temperature Estimation Methods For Intelligent Battery Management And Fast Charging Systems, Ehab Bayoumi

Mechanical Engineering

This article examines in depth the most recent thermal testing techniques for lithium-ion batteries (LIBs). Temperature estimation circuits can be divided into six divisions based on modeling and calculation methods, including electrochemical computational modeling, equivalent electric circuit modeling (EECM), machine learning (ML), digital analysis, direct impedance measurement, and magnetic nanoparticles as a base. Complexity, accuracy, and computational cost-based EECM circuits are feasible. The accuracy, usability, and adaptability of diagrams produced using ML have the potential to be very high. However, both cannot anticipate low-cost integrated BMS live due to their high computational costs. An appropriate solution might be a hybrid …

Using Spatio-Temporal Graph Neural Networks To Estimate Fleet-Wide Photovoltaic Performance Degradation Patterns, Yangxin Fan, Raymond Wieser, Xuanji Yu, Yinghui Wu, Laura S. Bruckman, Roger H. French

Faculty Scholarship

Accurate estimation of photovoltaic (PV) system performance is crucial for determining its feasibility as a power generation technology and financial asset. PV-based energy solutions offer a viable alternative to traditional energy resources due to their superior Levelized Cost of Energy (LCOE). A significant challenge in assessing the LCOE of PV systems lies in understanding the Performance Loss Rate (PLR) for large fleets of PV systems. Estimating the PLR of PV systems becomes increasingly important in the rapidly growing PV industry. Precise PLR estimation benefits PV users by providing real-time monitoring of PV module performance, while explainable PLR estimation assists PV …

A Systematic Review Of Fourth Industrial Revolution Technologies In Smart Irrigation: Constraints, Opportunities, And Future Prospects For Sub-Saharan Africa, Joshua Wanyama, Erion Bwambale, Shafik Kiraga, Abia Katimbo, Prossie Nakawuka, Isa Kabenge, Isaac Oluk

Department of Agricultural and Biological Systems Engineering: Faculty Publications

The adoption of Fourth Industrial Revolution (4IR) technologies has revolutionized agricultural practices worldwide. However, their application in the context of sub-Saharan Africa remains a critical challenge. This study presents a systematic review that investigates the potential of 4IR technologies in smart irrigation. Sub- Saharan Africa faces multiple agricultural challenges, exacerbated by climate change, water scarcity, and inefficient irrigation practices. The need for sustainable, water-efficient, and data-driven irrigation systems is urgent to ensure food security and economic development in the region. This study addresses a crucial knowledge gap by assessing the constraints, opportunities, and prospects of implementing 4IR technologies for smart …

Material Order: A Discovery Group And Shared Catalogue For Materials Collections, Mark Pompelia, Margot Mcilwain Nishimura

Faculty & Librarian Work

Material Order is an academic consortium of material sample collections for art, architecture, and design disciplines. Founded by the Graduate School of Design at Harvard University and Fleet Library at Rhode Island School of Design and since comprising several more institutions in the US, it provides a community-based approach to management and open access utilizing and developing standards and best practices. Now in its twelfth year and reaching a level of maturation, Material Order offers research and pedagogical value to current and potential members and the larger design communities.

Mmwave Rat Optimization: Mac Layer Initial Access Design And Transport Layer Integration, Suresh Srinivasan

Dissertations and Theses

MmWave Radio Access Technology (RAT) is a promising technology for wireless communication due its large bandwidth and is already being deployed in 5G cellular and emerging WiFi technologies. MmWave systems use highly directional beams with narrow beamwidths to overcome the high path loss associated with their frequency bands. A mmWave radio can be used either in a standalone mode (where all radios use the same technology) or simultaneously with other technologies such as LTE and low frequency WiFi in a communication mode commonly referred to as integrated mode. This thesis proposes two methods to optimize mmWave RAT performance in both …

Mri Image Regression Cnn For Bone Marrow Lesion Volume Prediction, Kevin Yanagisawa

Theses and Dissertations

Bone marrow lesions (BMLs), occurs from fluid build up in the soft tissues inside your bone. This can be seen on magnetic resonance imaging (MRI) scans and is characterized by excess water signals in the bone marrow space. This disease is commonly caused by osteoarthritis (OA), a degenerative join disease where tissues within the joint breakdown over time [1]. These BMLs are an emerging target for OA, as they are commonly related to pain and worsening of the diseased area until surgical intervention is required [2]–[4]. In order to assess the BMLs, MRIs were utilized as input into a regression …

A Quick And Cost-Effective Method For Monitoring Deforestation Of Oil Sands Mining Activities Using Synthetic Aperture Radar And Multispectral Real-Time Satellite Data From Sentinel-1 And Sentinel-2., J Garcia Del Real, M. Alcaraz

Journal of Sustainable Mining

Alberta’s oil sands mining operations rank among the largest human-made structures globally. Monitoring through the use of Synthetic Aperture Radar (SAR) and Multispectral satellite imaging is an indispensable strategy in attaining sustainable development and mitigating deforestation in the third-largest verified oil reserves worldwide. This paper introduces a novel approach for cost-effective and reliable monitoring of deforestation caused by oil sands mining, avoiding cumbersome methods. It focuses on observing forest/non-forest areas affected by Suncor Energy Company’s mining assets in Alberta, using a combination of SAR and Multispectral satellite remote sensing. Radar images from Sentinel-1B and Multispectral images from Sentinel-2A were analyzed …

Correlation Enhanced Distribution Adaptation For Prediction Of Fall Risk, Ziqi Guo, Teresa Wu, Thurmon Lockhart, Rahul Soangra, Hyunsoo Yoon

Physical Therapy Faculty Articles and Research

With technological advancements in diagnostic imaging, smart sensing, and wearables, a multitude of heterogeneous sources or modalities are available to proactively monitor the health of the elderly. Due to the increasing risks of falls among older adults, an early diagnosis tool is crucial to prevent future falls. However, during the early stage of diagnosis, there is often limited or no labeled data (expert-confirmed diagnostic information) available in the target domain (new cohort) to determine the proper treatment for older adults. Instead, there are multiple related but non-identical domain data with labels from the existing cohort or different institutions. Integrating different …