Engineering Commons^™

Stanag 4575 Cst M35, Will Scheirer, Lee Sublett, George Weiss, Tina Howell, Ben Hill, Jared Sanders

Space Dynamics Laboratory Publications

General Information

➢ Provides a standardized “direct data download” capability from any NADSI compliant ISR data acquisition recorder to a compliant ground station

➢ STANAG 4575 Ed.4 became a mandated DISR standard for US DoD organizations on 24 April 2018; STANAG 4575 Ed. 5 is currently under JCGISR silence procedure until 14 February

➢ Magnetic Disk, Solid State, Complete Units, or Removable Media Modules (RMMs); Non-proprietary Directory and File Structure

➢ Based On Commercial Gigabit Ethernet Standards TCP/IP and Fiber Channel

Ongoing Efforts

➢ Working NADSI Ed.5 implementation with various national and international industry partners and manufacturers

➢ Further NADSI …

Interfacial Phenomena In Molten Salt Systems And Wetting Transitions In Microcavities, Aaron Essilfie

Theses and Dissertations

Interfacial phenomena are the processes that occur at the interface between two phases of matter: solid-liquid, solid-gas, liquid-liquid, and liquid-gas. Wetting, spreading, adsorption, and capillarity are some features of interfacial phenomena. This research explores two areas of interfacial phenomena: the interfacial tension between a liquid and gas, and wetting transitions in microcavities. Surface tension has been a widely studied topic in surface chemistry. Many techniques have been employed to study the surface tension of liquids in various studies and research areas, but the interfacial tension between a liquid and gas has not been extensively researched. For this reason, part of …

Toward Quantifying Interpolation Uncertainty In Set-Line Spacing Hydrographic Surveys, Elias Adediran, Christos Kastrisios, Kim Lowell, Glen Rice, Qi Zhang

Faculty Publications

The oceans remain one of Earth’s last great unknowns, with about 74% still unmapped to modern standards. Consequently, interpolation is employed to create seamless digital bathymetric models (DBMs) from incomplete hydrographic datasets, but this introduces unquantified depth uncertainties. This study aims to estimate and characterize uncertainties arising from set-line spacing hydrographic surveys, which are important for nautical charting, navigational safety, and many other applications. By sampling at different line spacings four complete coverage testbeds that vary in slope and roughness, the study interpolates across entire testbed areas using Spline, Inverse Distance Weighting, and Linear interpolation. The resulting interpolation uncertainties are …

Probing Ion-Blocking Electrode Rigs For Ionic Conductivity In Hybrid Solid Polymer Electrolytes, Kyra Glassey, Gabriela Roman-Martinez, Liliana Delatte, Thomas Burns, Monirosadat Sadati, Paul T. Coman, Ralph E. White

Faculty Publications

Solid electrolytes are critical for structural batteries, combining energy storage with structural strength for applications like electric vehicles and aerospace. However, achieving high ionic conductivity remains challenging, compounded by a lack of standardized testing methodologies. This study examines the impact of experimental setups and data interpretation methods on the measured ionic conductivities of solid polymer electrolytes (SPEs). SPEs were prepared using a polymer-induced phase separation process, resulting in a bi-continuous microstructure for improved ionic transport. Eight experimental rigs were evaluated, including two- and four-electrode setups with materials like stainless steel, copper, and aluminum. Ionic conductivity was assessed using electrochemical impedance …

02.17.2025 Ored Connect, Liz Williamson

ORED Newsletter

SOP Research Day

Change Detection Analysis Using Remote Sensing And Gis Approaches For Lake Manzala, Egypt, Mohamed Eraki, Rasha Abd El Ghany, Sameh El Kafrawy, Mostafa Rabah

Mansoura Engineering Journal

Manzala Lake, the largest natural freshwater body in Egypt, is situated in the northeastern part of the Nile Delta. It faces major environmental challenges, largely due to pollution from untreated industrial effluents, sewage, and agricultural runoff. As part of Egypt's national initiative to rehabilitate its lakes, a development project was launched in 2017 and concluded in June 2022. The project aimed to purify the lake by eliminating contaminants, clearing invasive vegetation, deepening the canals, the study focuses on assessing land cover changes using remote sensing and GIS, and offers some recommendations for sustainable lake use following the development efforts. The …

Recent Developments In Heterologous Expression Of Cellulases Using The Pichia Pastoris Expression System: A Comprehensive Literature Review, Nazish Muzaffar, Abdur Raziq, Muhammad Waseem Khan, Niaz Muhammad Khan, Bushra Shahid, Anbareen Gul, Hayat Ullah

Biological Engineering Student Research

Cellulosic biomass is considered an important and sustainable source of renewable energy, which needs a complex mixture of different enzymes for its degradation. After amylase, cellulases are the second most important enzymes, gain more importance due to their broad range of applications at the industrial level, and are considered more economical and environmentally friendly; researchers have focused more on the production of cellulase with its higher expression rate and low cost. Pichia pastoris, a methylotrophic yeast strain, has a more effective and well-established system for the production of heterologous proteins, particularly for industrial enzymes. Moreover, its readily achievable high-density …

Performance-Based Full Depth Reclamation Design, Moatasem H. Algburi

Civil Engineering ETDs

The Full-Depth Reclamation (FDR) technique is a cold-mix asphalt (CMA) technology employed in New Mexico to rehabilitate existing pavements. It results in minor disruption to traffic, environmental advantages, and decreased construction period and costs. However, insufficient data on the material properties of FDR mixtures and their characterization limits the use of the mechanical-empirical (M-E) design method of FDR materials. The MEPDG develops performance models using the structural response of pavement layers to predict pavement structure systems based on material properties, climate models, and loading conditions. This study has developed MEPDG models to predict the long-term performance of FDR materials and …

Prediction And Control Of Ground Vibrations Due To Blasting Activities In Aggregate Mines, Iddi Ramadhani Bulushi, Geleta Warkisa Deressa, Bhanwar Singh Choudhary

Journal of Sustainable Mining

Predicting and controlling ground vibrations from blasting is crucial for protecting structures and minimizing environmental impacts. This study investigates how explosive quantity and scaled distances affect peak particle velocity and establishes empirical equations to estimate this velocity at different distances from the blast area. The study found that the maximum charge per delay at a peak particle velocity of 10 mm/s was reduced to 13.46% as the delay timing was increased from 0 to 25 ms and 9.99% from 0 to 50 ms delay timing. The reduction of maximum charge with increasing delay timing leads to the reduction of ground …

Few-Shot Transfer Learning For Individualized Braking Intent Detection On Neuromorphic Hardware, Nathan A. Lutes, V. Sriram Siddhardth Nedendla, K. Krishnamurthy

Mechanical and Aerospace Engineering Faculty Research & Creative Works

This work explores use of a few-shot transfer learning method to train and implement a convolutional spiking neural network (CSNN) on a Brain Chip Akida AKD1000 neuromorphic system-on-chip for developing individual-level, instead of traditionally used group-level, models using electroencephalographic data. The efficacy of the method is studied on an advanced driver assist system related task of predicting braking intention. Approach. Data are collected from participants operating an NVIDIA JetBot on a testbed simulating urban streets for three different scenarios. Participants receive a braking indicator in the form of: (1) an audio countdown in a nominal baseline, stress-free environment; (2) an …

Treated Wastewater Reuse For Non-Direct Food Consumption Crops In Nebraska: Barriers And Benefits Of Municipal Irrigation Lagoons, Sussan Moussavi, Bruce Dvorak

Journal of Extension

Reusing treated wastewater for agricultural purposes can provide local benefits to small, rural communities. Additionally, irrigation lagoons can be an attractive wastewater treatment technology in areas with high agriculture demands and low water availability. This descriptive study used stakeholder discussions to identify barriers and benefits of irrigation lagoons. Dissemination materials were developed to help Extension professionals distribute information regarding these systems to the communities they work closely with.

How Electricity Utility Practitioners In The United States Approach Power System Resilience, Shardul Tiwari, Aritra Chakrabarty, Chelsea Schelly, Mostafa Sahraei-Ardakani, Gaby Ou, Jianli Chen

Michigan Tech Publications

This study explores the understanding and practice of resilience among electrical utilities in the United States, focusing on how practitioners in the utility sector conceptualize and apply resilience in their work. As electricity becomes increasingly central to modern life, powering critical infrastructure and essential services, the resilience of power systems has gained prominence in energy policy and planning. However, there is a lack of standardized definitions and approaches to resilience in both academia and practice, particularly from an energy service perspective. The research employs a qualitative approach, utilizing semi-structured interviews with experts (practitioners) from transmission and distribution utilities in the …

Effects Of Die Type On Mechanical Performance And Failure Behaviors Of Self-Piercing Riveting Joints In Aa5052, Lun Zhao, Amr Monier, Ao Zhang, Liya Li, Ahmed Elkaseer, Zeshan Abbas, Kai Ye

Mechanical Engineering

This study investigates the effects of self-piercing riveting (SPR) die type on the joint quality and failure modes of AA5052 SPR joints. Three die types: flat, pip, and ball-shaped were designed and processed for the SPR process, and 30 riveted specimens were prepared. A 2D axisymmetric finite element (FE) simulation model was established using LS-Dyna to evaluate the impact of each die type. The accuracy of the FE model was validated by comparing simulated joint cross-sections with experimental results. Subsequently, the quality and forming mechanisms of the SPR joints fabricated using each die type were analyzed. Mechanical properties were assessed …

Limitations In Speech Recognition For Young Adults With Down Syndrome, Franceli L. Cibrian, Yingying 'Yuki' Chen, Kayla Anderson, Cecilia Marie Abrahamsson, Vivian Genaro Motti

Engineering Faculty Articles and Research

Speech recognition has the potential to make technology more accessible to users. However, the accuracy of speech recognition remains limited for users with disabilities, including those with Down Syndrome, and the types and frequencies of recognition errors are poorly understood. This paper characterizes these problems, focusing on errors occurring when recognizing Down Syndrome speech. We analyze the transcripts from six speech recognition algorithms (Google, IBM, Otter.ai, Microsoft, AssemblyAI, OpenAI) using the audio content of 15 individuals with Down Syndrome (331 dialogues; 3428 words). Our analysis shows: (1) significant difference in speech recognition accuracy for people with Down Syndrome compared to …

Brittleness Indices For Chemically Corroded Rocks Under Unloading Confining Pressure, Hao Li, Leo Pel, Zhenjiang You, David Smeulders

Research outputs 2022 to 2026

Rock brittleness constitutes a pivotal mechanical property for geotechnical engineering. In this paper, multi-scale investigations, involving Nuclear Magnetic Resonance (NMR), X-ray Diffraction (XRD), ion chromatography, Scanning Electron Microscope (SEM), as well as unloading tests, were conducted to examine the brittle behaviors and mechanisms of rocks under chemical-unloading confinement conditions. This paper defines rock brittleness as the capacity to withstand multiscale fracturing based on experimental investigations into multiscale damage mechanisms and macro-mechanical responses. After that, two novel brittleness indices are proposed, utilizing the dissipated energy consumption and energy-drop coefficients proposed in this study. These indices are then validated using experimental data. …

Research On Task Planning Methods For Space Robot Assisted Operation, Guoqiang Fang, Haitao Chang, Xing Liu, Zhengxiong Liu, Panfeng Huang

Journal of System Simulation

Abstract: In view of the difficulties caused by the complicated task process and numerous task constraints during the space robot assisted operation, a task planning method combining fast forward search algorithm and hierarchical network algorithm is proposed, in which the task planning process is divided into task planning and replanning. Based on the fast forward search task planning method of operation cost, the execution sequence of actions with minimum operation cost is obtained. The task adaptive replanning method based on hierarchical network corrects and compensates the problems according to the priority of compensation for the movement, grab and release actions. …

Intelligent Service Migration Towards Mec-Based Iov Systems, Sijin Huang, Jia Wen, Zheyi Chen

Journal of System Simulation

Abstract: To address the problem of QoS degradation during the vehicle movement, a novel service migration via convex-optimization-enabled deep reinforcement learning (SeMiR) method is proposed. The optimization problem is decomposed into two sub-problems and solved separately. For the service migration sub-problem, an improved deep reinforcement learning based service migration method is designed to explore the optimal migration policy. For the resource allocation sub-problem, a convex optimization based resource allocation method is developed to derive the optimal resource allocation for each MEC server under the given migration decisions, thereby improving the performance of service migration. Experimental results show that the SeMiR …

Research On Rule-Based Energy Management Strategy Of Hybrid Mining Dump Truck, Jiangong Liu, Yuanhui Zhang, Fei Wei, Yiying Wang, Xiaoling Li, Peiqing Liu, Fengmiao Si

Journal of System Simulation

Abstract: A distributed hybrid powertrain system structure and a rule-based energy management strategy are proposed to address the problems of insufficient power and poor fuel economy in conventional dieselpowered mining dump trucks. By analyzing the operational characteristics of mining dump trucks, a distributed hybrid powertrain system structure and vehicle driving conditions are established, relevant mode-switching rules are formulated. The results demonstrate that the proposed distributed hybrid powertrain system structure enhances the climbing capability of the vehicle by 27% when using the third gear for uphill driving. In addition, the adoption of the rule-based energy management strategy results in an 19% …

A Hybrid Heuristic Algorithm For Solving The Green Vrp With Priority Delivery, Huanhuan Cui, Lihe Guan

Journal of System Simulation

Abstract: This paper considers the problem that some customers' goods cannot be mixed in logistics distribution. Based on the traditional green vehicle routing problem with simultaneous pickup and delivery, customers are divided into three types: priority delivery, non-priority only pickup without delivery, and non-priority pickup with delivery. A single objective nonlinear optimization model is established to minimize the total cost. A hybrid heuristic method based on simulated annealing and adaptive large neighborhood search algorithm is designed. An improved saving algorithm is used to construct the initial solution. And 5 kinds of destruction operators and 2 kinds of repair operators are …

Improved Target Detection Algorithm For Aerial Images Based On Yolov5, Yecai Guo, Jingdong Sun, Saha Amitave

Journal of System Simulation

Abstract: In order to improve the existing small target detection methods, which suffer from low detection accuracy, high false detection rate and high leakage rate, the FSD-YOLOv5 algorithm is proposed, which has three improvements based on the YOLOv5 algorithm. The Focal EIoU is used instead of the original CIoU to improve the model convergence speed and regression accuracy. To cope with the deficiencies in CNN architecture, we adopt a new CNN building block called SPD-Conv is adopted. To address the problem of the reduced or lost information of small objects in feature maps caused by downsampling in convolutional neural networks, …

An Empirical Analysis Of New Perspectives For Strategy Solving In Intelligent Game-Theoretic Decision-Making, Jiongming Su, Junren Luo, Shaofei Chen

Journal of System Simulation

Abstract: With the development of artificial intelligence technology, especially the promotion of largescale pre-training model theory, some new perspectives of strategy solving for intelligent game-theoretic decision-making have gradually been widely concerned and discussed. This paper combines the development of artificial intelligence technology and the transformation of strategy solving paradigm for intelligent game-theoretic decision-making, takes Chess (two-player zero-sum perfect information game), diplomacy (multi-player general-sum imperfect information game), and StarCraft Multi-Agent Challenge (multi-agent Markov game) as the research object for empirical analysis on sequential decision-making, the new paradigm and new way of strategy solving are analyzed according to the new perspective of …

Exploring Generative Artificial Intelligence (Ai) Applications In Fashion: Ethical Concerns In Human-Like Technology, Melissa Kathryn Gonzalez

Faculty Scholarship and Creative Works

No abstract provided.

Design And Simulation Analysis Of Guidance Law For Boost Phase Interceptor Missile, Xu Zhang, Peng Zeng, Xu Li, Xuehe Zheng, Jianheng Xue, Chao Wang

Journal of System Simulation

Abstract: The intercept time window in the boost phase is very short, which requires the missile to have high speed and high acceleration capability, at the same time, because the target ballistic missile is still accelerating in the boost phase, the guidance scheme of the interceptor missile needs to have the ability to cope with the characteristics of the booster phase interceptor missile. The trajectory simulation model is established, and the guidance law of the boost phase interceptor missile in the initial guidance, midguidance and final guidance stage are designed in detail according to the performance of the guidance mechanism …

Improved Bidirectional A* Quadratic Path Planning Algorithm For Mobile Robots, Jiongyi Li, Qiang Li, Xinwen Zhang, Myo Htet Zin, Yongbin Cai

Journal of System Simulation

Abstract: Aiming at the problems of the traditional A* algorithm, such as the unhoped intersection between the planned path and the obstacles, the planned path has many inflection points and the search time is long, an improved bidirectional A* quadratic path planning algorithm for the indoor environments is proposed. Through the expansion of the map, the intersection between the planned path and the obstacle is solved. By new heuristic functions and bidirectional expansion methods, the search speed and accuracy of the bidirectional A* algorithm are improved. Turning cost function and adaptive weight are introduced to reduce the number of turning …

Construction Of A Digital Twin-Based Ship Manufacturing Workshop Monitoring System, Tianxiang Hu, Hui Ye, Xiaofei Yang

Journal of System Simulation

Abstract: In order to address issues of opacity in production information and difficulties in collecting equipment data in shipbuilding workshops, a digital twin ship manufacturing workshop monitoring system is designed based on the Unity physics platform. The essential steps in building a virtual reality platform are outlined, encompassing the creation of a virtual ship workshop, the development of data transmission methods for multi-source heterogeneous data acquisition, implementation of data-driven methods for achieving virtual-real synchronization, and enhancement of data visualization capabilities. By practically designing a real-time monitoring system for the welding assembly line production process in shipbuilding, the 3D scene reproduction …

Super-Resolution Imaging Reveals Resistance To Mass Transfer In Functionalized Stationary Phases, Ricardo Monge Neria, Muhammad Zeeshan, Aman Kapoor, Tae Kyong John Kim, Nichole Hoven, Jeffrey Pigott, Burcu Gurkan, Christine Duval, Lydia Kisley

Faculty Scholarship

Chemical separations are costly in terms of energy, time, and money. Separation methods are optimized with inefficient trial-and-error approaches that lack insight into the molecular dynamics that lead to the success or failure of a separation and, hence, ways to improve the process. We perform super-resolution imaging of fluorescent analytes in five different commercial liquid chromatography materials. Unexpectedly, we observe that chemical functionalization can block more than 50% of the material’s porous interior, rendering it inaccessible to small-molecule analytes. Only in situ imaging unveils the inaccessibility when compared to the industry-accepted ex situ characterization methods. Selectively removing some of the …

Quadrotor Uav Path Planning Based On Rapidly-Exploration Directional Tree Algorithm, Shijun Hu, Hailiang Liu, Binglei Wang, Wenke Su

Journal of System Simulation

Abstract: Aiming at the problems of low planning success rate, slow convergence speed, and suboptimal paths in the RRT algorithm for quadrotor UAV path planning of in complex environments, a directional exploration tree algorithm is proposed, which uses a directional sampling strategy to improve the directionality of the tree expansion, and by introducing an adaptive target adjustment strategy and a branch expansion strategy, the tree can expand quickly towards the target point while avoiding obstacles. The redundant points in the initial path are removed by the pruning process, and then the trajectory correction and smoothing process are performed on the …

Collaborative Optimization Problem Of Dynamic Pre-Maintenance And Green Scheduling, Yuyan Jiang, Ning Ma, Yan Li, Rumeijiang Gan, Fuyu Wang

Journal of System Simulation

Abstract: For the traditional flexible job shop scheduling problem, a joint optimization of machine dynamic pre-maintenance and green scheduling is considered to establish an integrated optimization model with the optimization objectives of minimizing maximum completion time, total carbon emissions, and total cost. An improved NSGA-II algorithm is proposed to solve the model. A three-layer encoding method based on process, machine, and pre maintenance is adopted to design a one-step decoding scheme that considers process allocation, machine selection, and machine pre-maintenance strategies. The algorithm improves the elitist retention strategy, designs an adaptive crossover mutation function with algebraic changes, and a mutation …

Intensity-Based Feature Filtering For Lidar-Based Slam, Weigang Li, Shaofeng Zou, Yongqiang Wang, Chuxiang Yu

Journal of System Simulation

Abstract: In order to solve the problem that an excessive influx of feature points into the point cloud registration phase can potentially lead to diminished algorithmic accuracy and suboptimal mapping outcomes, a novel laser SLAM algorithm predicated on the filtering of feature points through the utilization of intensity information is proposed. The intensity distribution near the feature points in the local map is calculated based on the point cloud intensity information, and each feature point within the local map is attributed an intensity distribution index. Through the application of an intensity threshold, feature points that exhibit substantial variations in intensity …

Trajectory Optimization Of Robotic Arm Based On Improved Simulated Annealing Genetic Algorithm, Qiang Xu, Jianlei Xu, Yanhai Hu, Haihui Chen, Xing Zhang, Zhaohui Xing

Journal of System Simulation

Abstract: To optimize the working trajectory of the robotic arm, a modified simulated annealing genetic algorithm is proposed. Comprehensively considering the operating requirements and performance characteristics of the robotic arm, the five-order polynomial interpolation method is used to plan a smooth motion trajectory in the joint space. The penalty function method is used to handle the individuals that do not meet the constraint conditions, and the fitness function is recalibrated by the dynamic linear calibration method. An adaptive adjustment mechanism for crossover probability and variation probability is set to modify the genetic algorithm. The cooling idea of the simulated annealing …