Engineering Commons^™

Dynamic Order Scheduling For Pick-And-Pass System Considering Workload Balance And Learning Effects, Weihong Liu, Sixiang Zhao, Dali Zhang, Zhenhui Jiang

Journal of System Simulation

Abstract: In e-commerce logistics, the hybrid pick-and-pass systems offer both complexity and flexibility, enabling adaptation to a wider range of order picking scenarios. Therefore, they have been widely used. However, this also complicates the order scheduling problem, particularly when both workload balance and pickers' learning effects need to be considered. Efficiently scheduling orders to reduce picking time under these conditions poses a significant challenge. This study began by constructing a mathematical model for the static scheduling problem with known orders. Based on this model, a simulation model of hybrid pick-and-pass zones was developed, and a scheduling rule incorporating multiple system …

Simulation And Optimization Of Continuous Motion Control Based On Spiking Reinforcement Learning, Xiaode Liu, Yufei Guo, Yuanpei Chen, Jie Zhou, Yuhan Zhang, Weihang Peng, Zhe Ma

Journal of System Simulation

Abstract: To improve the model robustness for multi-degree-of-freedom continuous motion control, an intelligent motion control algorithm was proposed based on the Actor-Critic reinforcement learning framework and spiking neural networks. This algorithm integrateed the Actor network with spiking population coding and enhanced model training performance by introducing feature transformation methods. The Critic network was used to evaluate the effectiveness of the motion control. The results show that, compared to other reinforcement learning algorithms, the average reward value of this method increases by more than 10%. The simulation results validate the effectiveness of the model in improving multi-degree-of-freedom continuous control performance.

Distributed Heterogeneous Hybrid Flow-Shop Scheduling Considering Combined Buffer, Hua Xuan, Lin Lü, Bing Li

Journal of System Simulation

Abstract: In order to reduce cost losses caused by delivery delays, distributed heterogeneous hybrid flowshop scheduling problems under combined buffer conditions of finite buffer and zero-wait were studied. A hybrid estimation of distribution algorithm based on Q-learning was proposed to minimize total weighted earliness and tardiness. For the combined buffer, dynamic decoding was designed based on the average factory allocation strategy and the shortest path method. The initial job group was optimized by reverse learning. Q-learning was embedded in the probabilistic model for intelligent searching and updating based on the group state. Reconstruction of the job group was completed using …

Experimental Investigation Of 3d Printed Tpu Triboelectric Composites For Biomechanical Energy Conversion In Knee Implants, Osama Abdalla, Milad Azami, Amir Ameli, Emre Salman, Milutin Stanacevic, Ryan Willing, Shahrzad Towfighian

Mechanical Engineering Faculty Scholarship

Although total knee replacements have an insignificant impact on patients’ mobility and quality of life, real-time performance monitoring remains a challenge. Monitoring the load over time can improve surgery outcomes and early detection of mechanical imbalances. Triboelectric nanogenerators (TENGs) present a promising approach as a self-powered sensor for load monitoring in TKR. A TENG was fabricated with dielectric layers consisting of Kapton tape and 3D-printed thermoplastic polyurethane (TPU) matrix incorporating CNT and BTO fillers, separated by an air gap and sandwiched between two copper electrodes. The sensor performance was optimized by varying the concentrations of BTO and CNT to study …

Study Of ~-Topological Space By ~-Binary Relation In Cluster System, Mustafa Hasan Hadi, Luay Abd Al Haine Al Swidi

Iraqi Journal for Computer Science and Mathematics

In this paper, we introduced a new type of operators, which we called ~-operator by cluster system, and studied its properties without conditions and with certain conditions. Through our study of this operator, we defined a new topology, which we called ~-topological space, since it does not, in general, constitute a regular topological space. We also presented ~-interior points, ~-closure, ~-exterior points and reviewed some theories and examples about this concept.

Penggunaan Microsoft Excel Di Kehidupan Sehari-Hari, Dimas Hafidz Alfarisi, Bilal Al Kindi, Aisya Mardatila, Reni Anggraeni, Desi Wulandari

Bhakti: Jurnal Pengabdian Masyarakat

Community Service Program (KKN) is one of the main parts of the tridharma of higher education, which requires students to play an active role in community empowerment through education, research, and service. This article discusses one of program from the KKN team from Universitas Negeri Semarang (UNNES), which took place in Tlogopucang Village, Kandangan District, Temanggung. In today's digital era, mastery of information technology has become a crucial requirement, including the ability to operate data processing applications such as Microsoft Excel. Unfortunately, many people, especially in rural areas, are still unfamiliar with the benefits of Excel. However, this application has …

Vertical Sorting Of Bed Material In Gravel-Bed Streams-- Insights From Long-Term Observations In East Creek, British Columbia, Marwan A. Hassan, Tianqi Xing, Conor Mcdowell, Kevin J. Pierce, Mike Turley, Sol Leader-Cole, Enrica Viparelli

Faculty Publications

The vertical sorting of streambed grains is a key control on river channel stability and sediment transport rates. In this study, we report on burial depths and mobility characteristics of coarse sediment in a small gravel-bed stream using an extensive data set of nearly 1,500 magnetically tagged tracer grains, deployed and annually surveyed between 2004 and 2018. We observe that sediment burial correlates with grain size and event magnitude, and we identify correlations between the burial depths of coarse grains and their mobility, residence time, and travel distance characteristics. A particularly large event in 2007 produced significant vertical sorting which …

An Integrated Decision Support System For Bim Level 3 Implementation, Lama Abumoeilak, Salwa Beheiry, Serter Atabay

Civil and Environmental Engineering Faculty Publications

The Architecture, Engineering, and Construction (AEC) sector accounts for 39% of greenhouse gas emissions, 40% of solid waste, and 12% of potablewater usage globally, underscoring the need for sustainable, efficient practices. Building Information Modeling (BIM) offers a digital framework to address these challenges through lifecycle management, collaboration, and efficiency gains. However, most organizations remain at BIM Level 2 maturity, which limits their potential for full integration. This study proposes a comprehensive Decision Support System (DSS) to facilitate the adoption of BIM Level 3, with an emphasis on collaboration, sustainability, and data interoperability. The DSS integrates Structural Equation Modeling (SEM), Analytical …

Development And Validation Of A Composite Digital Balance Score For Spinocerebellar Ataxia: A Prospective Study., James Mcnames, Vrutangkumar V. Shah, Hannah L. Casey, Kristen L. Sowalsky, Mahmoud El-Gohary, Delaram Safarpour, Patricia Carlson-Kuhta, Jeremy D. Schmahmann, Liana S. Rosenthal, Susan Perlman, Multiple Additional Authors

Electrical and Computer Engineering Faculty Publications and Presentations

Clinical trials in spinocerebellar ataxia are currently limited by the large sample sizes required by available clinical endpoints. We aimed to devise a digital composite measure of standing and walking balance using wearable inertial sensors that would require smaller sample sizes. The new score is called the Score of Integrated Balance in Ataxia (SIBA).

Measures To Improve The Structure And Operating Principle Of Perovsite Light-Emitting Devices, Latofat Utkir Qizi Shuhratova, Rustam Rashidovich Kabulov, Farrux Anvar Ugli Akbarov, Anvar Akbarovich Alimov

Technical science and innovation

Since the discovery of the unique properties of perovskite materials, these materials have been used as active layers in various optoelectronic devices. In particular, perovskite-based light-emitting diodes (LEDs) have attracted the attention of many researchers as a highly efficient and versatile technology for lighting and display devices. Perovskite-based LEDs allow for tunable light emission and can be manufactured at low cost and with flexible fabrication technology. These advantages make them suitable for use in devices ranging from modern displays to wearable electronics. Despite their potential, solving problems such as material stability and industrial scale is one of the current challenges …

Treating Low-Concentration Methane Emissions Via A Methanotroph-Based Biotrickling Filter: Techno-Economic And Life Cycle Assessment, Waaseyaaban Landgren, Robert Handler, David Shonnard, Mary E. Lidstrom

Michigan Tech Publications

Methane, a greenhouse gas which has a global warming potential 80 times greater than carbon dioxide on a 20-year time scale, greatly contributes to global warming. Removing 1 Gt of atmospheric methane by 2050 would limit global temperature increase from reaching 1.5 °C. Currently, biotrickling filter systems for removing atmospheric methane via methanotrophs exist, but not for very low methane concentrations (< 1 v%). Recent work at the University of Washington to isolate and improve a microbial strain which thrives at 500 ppmv CH4 has removed one obstacle in making this technology feasible. In this study, techno-economic and environmental life cycle assessment analyses conducted on this process have assessed its economic feasibility, greenhouse gas reduction potential, and possible areas of improvement. Study results show that at 500 ppmv CH4, this process could remove atmospheric methane at a cost of USD 3992–5224/tCH4. The best-performing case also produces annual net reductions in warming potential by 276–311 tCO2e/120 m3 process unit deployed. Many opportunities exist to improve the outcomes of the baseline analysis even further, especially related to reducing the transport distance of media and harvested biomass.

Reliability Targeted Snow Loads And Winter Wind Parameters For Locations Outside Of The Conterminous United States, Brennan L. Bean, Nicholas Brimhall, Bikram Bhusal, Marc Maguire, Maha Moussa

Browse all Datasets

The national building standard ASCE 7 moved to reliability-targeted snow loads (RTSLs) in the 2022 version. This necessitates the development of RTSLs for international locations. This repository contains the data and code needed to produce RTSLs and Winter Wind Parameters for locations outside of the Conterminous United States (OCONUS). It relies on annual maximum snow loads provided in a separate data release (see Brimhall et al. 2025).

Methodology For Creating An Intelligent Mechatron Module Based On A Synergistic Approach, Nurbek Rustamovich Matyokubov, Temurbek Omonboyevich Rakhimov

Technical science and innovation

This article is devoted to the methodology of creating an intelligent mechatron module based on a synergistic approach. Creating a multi-coordinate intelligent mechatron module and expanding the functional capabilities of the controlled object based on them, allows to optimize the dynamic characteristics. Also, the methodology for creating an intelligent mechatronic module based on a synergistic approach allows for the integration of electrical, magnetic, and mechanical components into a single circuit, the integration of technical parameter modification, and the integration of processing functions into a single information-measuring module. In addition, the article proposes a Eurorhythm scheme for expressing how …

Insights On Ai-Supported Uncrewed And Autonomous Systems Education, Brent A. Terwilliger Ph. D, John Faraca

Publications

Artificial Intelligence (AI) related technology is reshaping the educational experience in programs focused on uncrewed and autonomous systems, aviation, robotics, and aerospace, with growing implications for workforce readiness and cross-sector innovation. Early survey data, capturing student, educator, and employer perspectives, reveals that AI-supported tools are notably changing student engagement, communication, and skills development. Initial indications underscores the importance of AI proficiency and technological familiarity in hiring and workforce development, particularly in technical and operational roles. Key areas of focus include the use of AI to strengthen outreach and interactivity; enrich instruction through intelligent simulations; inform curricular improvements using data analytics; …

Halogenated Flame Retardants In The Sediments Of The Lower Great Lakes And Region-Wide Discoveries, Tian Lin, Shanshan Zhou, Huan He, Jiehong Guo, Neil C. Sturchio, Karl J. Rockne, John P. Giesy, An Li

Michigan Tech Publications

This work aims to provide updated information and insights on the contamination by halogenated flame retardants (HFRs) of the Great Lakes sediments. Thirty HFRs, including polybrominated diphenyl ethers (PBDEs), dechlorane plus (DPs), and other chlorinated (CFRs) or brominated (BFRs) chemicals, were measured in 400 sediment surface grab and core segment samples from Lakes Erie and Ontario. The data were combined with those from Lakes Superior, Michigan, and Huron to provide a comprehensive region-wide analysis. Together, the target HFRs in the Great Lakes sediment amount to approximately 420 tonnes. Among the five lakes, Lake Ontario had the highest concentrations of CFRs, …

Exploring The World Of Medical Exoskeleton Robots: A Classification Guide, Javlonbek Rakhmatillaev, Vytautas Bučinskas

Technical science and innovation

This article describes the classification of exoskeletons. This classification is based on the use of exoskeletons in the medical field, shape, power source, generation, parts related to the human body, structural material, and control forms based on sensor and actuator devices. In addition, examples of each category are given. The main goal is to comprehensively evaluate medical exoskeletons, pay special attention to their functions and goals, conduct scientific research, and further develop these devices. As a result, a completely new type of classification of medical exoskeletons was developed. The developed new type of classification serves as an important guide in …

Monitoring Slope Displacements At The Kalmakyr Open-Pit Mine Using Gnss And Gamit/Globk Processing, Aziz Nigmanovich Kazakov, Dilbarkhon Hamuradovna Fazilova, Nursulton Abdulmajit Ugli Khamitov

Technical science and innovation

The article presents a monitoring system based on the Global Navigation Satellite System (GNSS) for assessing deformations in mining areas. The study was conducted at the Kalmakyr open-pit mine, where a network of seven GNSS stations was installed in the most geologically vulnerable zones. Four static measurement cycles were carried out between 2024 and 2025. High-frequency 3D data were processed using the GAMIT/GLOBK software. The analysis showed that displacements in active areas reached 68 mm horizontally and 31 mm vertically.

Study Of Physical And Mechanical Properties Of Composite Materials Obtained From Wood Industry Waste, Adkhamjon Rustamovich Makhkamov, Samandarbek Kahramonjon Ugli Sodikjonov, Yorqinjon Tulqin O'G'Li Ergashev, Elmurod Abdukodirovich Egamberdiev, Volodymyr V. Tkach

Technical science and innovation

This study looks at the serious problem of plastic waste causing pollution around the world. It focuses on how little polystyrene foam gets recycled. As a better option, the study checks out making and describing composite stuff made from wood waste, like poplar and paulownia sawdust. These natural fillings have cellulose, hemicellulose, and lignin, which let them stick well to plastic polymers like polyethylene (PE), polypropylene (PP), and polyvinyl chloride (PVC).

The composite materials were made using hot pressing. They were tested to see how dense, hard, strong, and impact-resistant they were, using GOST standards. The tests showed that adding …

Structural And Biological Properties Of Chitosan/Copper Polymetallic Complexes Synthesized From Apis Mellifera-Derved Chitosan, Dilnoza Sohibovna Isomitdinova, Gulnora Akmalovna Ikhtiyarova, Nazira Madusmanovna Kuchkarbayeva, Nafisa Akhrorovna Ergasheva

Technical science and innovation

In this study, a chitosan/copper (Ch/Cu²⁺) polymetallic complex was synthesized from chitosan obtained by the cryogenic method from Apis mellifera bees. The structural and physicochemical properties of the complex were investigated using FTIR, UV-Vis, XRD, TGA, and DLS analyses. FTIR spectra showed shifts in absorption bands at 1400-1339 cm⁻¹ and 1640-1550 cm⁻¹, confirming the coordination of Cu²⁺ ions with amino and hydroxyl groups. UV-Vis spectra revealed absorption peaks in the 410-540 nm range, while XRD analysis indicated new crystalline peaks at 2θ = 24°, 27°, and 37°. Thermal analysis demonstrated high thermal stability of the complex, and DLS confirmed a …

Improvement Of Ultrasonic-Convective Equipment And Beetroot (Beta Vulgaris L.) Drying Process, Jasur Esirgapovich Safarov, Shakhnoza Abduvaxitovna Sultanova, R. M. Najafli

Technical science and innovation

In the world, the air-dried food market is seeing rapid expansion, valued at USD 103.26 billion in 2021, out of which the Asia Pacific region consumed the maximum amount. The freeze-dried vegetable and fruit market is predicted to reach USD 132.7 billion by 2027. Processed vegetables are also exported to a large extent from India. Uzbekistan recorded excellent development in agriculture in 2024, with record harvests, better yields, and use of advanced machinery. Azerbaijan also demonstrated good agriculture growth and export performance. Beetroot has now been identified as a functional food containing bioactive compounds like betaines and dietary fiber that …

Development And Justification Of The Structurally-Free Rod Design For Composite Spindles Of Vertical-Spindle Cotton Picking Machines, Nortoji Baratovich Baratov

Technical science and innovation

At present, the light industry constitutes a significant share of the economies of leading countries around the world. Notably, the cotton industry holds a prominent position within the light industry sector. The cultivation of cotton fiber and the harvesting of mature crops without compromising fiber quality represent complex and delicate processes. In order to carry out these operations rapidly and efficiently, various cotton harvesting machines have been developed based on projects proposed by numerous researchers. Among these, the vertical spindle cotton picker is recognized as one of the earliest machines created for this purpose. Since its invention, the vertical spindle …

Structure And Principle Of Operation Of The Vibrational Pressing And Dehydration Unit For Semi-Soft Cheese, Qobiljon Akmal Ugl Muxiddinov, Shakhnoza Abduvaxitovna Sultanova, Azamat Bakir Ugli Usenov

Technical science and innovation

This paper investigates the structural design and operational principles of a vibrational pressing and dehydration unit developed for semi – soft cheese production. The equipment is engineered to optimize whey expulsion and moisture uniformity in curd blocks by combining mechanical pressure with controlled vibration. The unit comprises a stainless – steel vibrating chamber, drainage plates with micro – perforations, and an adjustable frequency–amplitude control system. Vibrations in the range of 20–60 Hz are applied during pressing, promoting more efficient capillary flow and enhancing the separation of whey from curd particles. The process ensures uniform density and texture across the cheese …

Investigation Of Technological Processes In Laboratory Conditions For The Elimination Of Well Flooding, Tolib Olimovich Komilov

Technical science and innovation

Currently, the main priority task in the world in the field of drilling is the isolation of water flows and levitation of well flooding in order to improve the technical and economic indicators of drilling and well operation. The article considers the process of eliminating well complications, which is considered an important process in particular when choosing cement slurries and the main methods for determining their physical and mechanical properties. In creating an experimental stand, computer and information technologies were used that provide automation, control, analysis of data and decision-making using computer commands when conducting an experimental study on the …

Optimization Of Drilling And Blasting Parameters Taking Into Account The Physical And Mechanical Properties Of Rocks And Characteristics Of Blast Load, Shuhratulla Atoevich Ochilov

Technical science and innovation

This article provides a detailed study of the physical and mechanical processes occurring during explosive crushing of rocks, with a special emphasis on the formation of cracks and changes in the granulometric composition of the massif. The main attention is paid to the influence of the blast loading parameters - the specific consumption of explosives (BC), charge diameter and line of least resistance (LLR) - on the average size and distribution of rock pieces. The distribution of the explosion energy for crushing, heat losses, seismic and impact effects, as well as the role of the energy transfer coefficient, depending on …

The Method Of Power Networks Mode Optimization In Basis Of Genetic Algorithm, Tulkin Shernazarovich Gayibov, Gulnaz Makhmutovna Turmanova

Technical science and innovation

One of the main tasks solved in planning short-term and managing operational modes of electric power systems (EPS) is the optimization of their network modes on the adjustable parameters. For modern complex EPS, this task is often characterized by the multi-extremality of the objective function, the appearance of discontinuous functions, the presence of initial information of a probabilistic and partially uncertain nature. In such conditions, solving the problem by traditional algorithms using mainly linear and nonlinear programming methods, Lagrange, gradient, etc., is associated with a number of difficulties in simplifying them and bringing them to a convenient form for calculations. …

Tacscope: A Miniaturized Vision-Based Tactile Sensor For Surgical Applications, Md Rakibul Islam Prince, Sheeraz Athar, Pokuang Zhou, Yu She

School of Industrial Engineering Faculty Publications

The lack of tactile feedback in robot-assisted minimally invasive surgery (RMIS) limits surgeons’ ability to palpate tissues, a critical technique for locating abnormalities such as tumors. To address this challenge, we introduce TacScope, a novel, vision-based tactile sensor leveraging the magnification properties of a spherical-surface elastomer to provide tactile feedback for advanced clinical applications. TacScope features a robust, low-cost, and easyly fabricate design, enabling seamless integration into surgical robotic setups. It reconstructs high-resolution 3D geometry from variations in particle-density distribution across its elastomer surface, requiring only a single image for calibration. The curved elastomer membrane alters particle-density distribution under …

Evaluating Platinum, Gold, Glassy Carbon, And Graphite Anodes For Chlorine Evolution In Molten Calcium Chloride Salt, Cameron Vann, Shelssie Klvacek, Carlos Mejia, Devin Rappleye

Faculty Publications

The chlorine evolution reaction (CER) in molten CaCl₂ plays a critical role in high-temperature electrochemical processes, including chlorination, metal refining, and used nuclear fuel treatment. This study evaluates the performance of gold (Au), platinum (Pt), glassy carbon (GC), and graphite anodes for the CER under consistent electrochemical conditions. Anode performance was assessed based on chlorine (Cl₂) gas evolution, material robustness, and kinetic parameters. Cl₂ generation was directly confirmed using quadrupole mass spectrometry for Pt, GC, and graphite anodes. GC and graphite demonstrated stable and sustained CER activity. Pt and Au were shown to have significant mass …

A Comprehensive Assessment And Benchmark Studyof Large Atomistic Foundation Models For Phonons, Md Zaibul Anam, Ogheneyoma Aghoghovbia, Mohammed Al-Fahdi, Lingyu Kong, Victor Fung, Ming Hu

Faculty Publications

The rapid development of universal machine learning potentials (uMLPs) has enabled efficient, accurate predictions of diverse material properties across broad chemical spaces. While their capability for modeling phonon properties is emerging, systematic benchmarking across chemically diverse systems remains limited. We evaluate six recent uMLPs—EquiformerV2, MatterSim, MACE, and CHGNet—on 2429 crystalline materials from the Open Quantum Materials Database. Models were used to compute atomic forces in displaced supercells, derive interatomic force constants (IFCs), and predict phonon properties including lattice thermal conductivity (LTC), compared with density functional theory and experimental data. The EquiformerV2 pretrained model trained on the OMat24 dataset exhibits strong …

Intrinsic Defects (Vacancies And Antisites) In Neutron Irradiated Cdsip2 Crystals, Timothy D. Gustafson, Elizabeth M. Scherrer, Nancy C. Giles, Kevin T. Zawilski, Peter G. Schunemann, Jonathan E. Slagle, Kent L. Averett, Larry E. Halliburton

Faculty Publications

Cadmium silicon phosphide (CdSiP₂) is a nonlinear optical material widely used in optical parametric oscillators. Intrinsic defects (vacancies and antisites) are responsible for unwanted broad optical absorption bands in these crystals that degrade the performance of the devices. In the present work, optical absorption and electron paramagnetic resonance (EPR) spectra are acquired (at room temperature and 12 K, respectively) from a neutron-irradiated CdSiP₂ crystal. After the irradiation, the crystal is highly absorbing from the band edge near 600 nm to beyond 1.3 μm because of overlapping defect-related absorption bands. Heating to 550 °C removes nearly all the …

Project Eggroll, Oriana Zhu

Discovery Day - Daytona Beach

Trainer aircraft present a unique fuel efficiency issue – the aircraft will almost never fly at its most efficient configuration simply due to the nature of pilot training. Taking this into account, Project Eggroll will be tackling this issue at the beginning of fuel consumption, rather than optimizing aerodynamics, and will be incorporating a hybrid propulsion system in a next-generation trainer aircraft to reduce fuel consumption, noise, and cost for consumer. After filtering through multiple potential configurations for the aircraft and powertrain, the ER-01 trainer aircraft’s final design has been refined to a high wing aircraft with an all-movable horizontal …