Engineering Commons^™

Integrating Neural Networks For Predictive Torque Control And Obstacle Avoidance In Autonomous Robot, Viswanath Kodali, Harsha Vardhan Borra, Kiran P

Northeast Journal of Complex Systems (NEJCS)

In the field of robotics, precise motion control and accurate computation of joint forces are critical for ensuring optimal performance. Traditional methods, such as using the Jacobian matrix for joint angle determination and Euler-Lagrange equations for torque computation, are reliable but computationally intensive, making them less suitable for real-time applications. This paper presents an advanced approach to improving the productivity and efficiency of a 3-Degree of Freedom (DOF) robotic arm by utilizing Artificial Neural Network (ANN). The proposed system dynamically predicts joint angles and torque, enabling faster and more efficient motion control.

To address the challenge of obstacle avoidance in …

Grnn-Fa Hybrid Model For Predicting The Useful Life Of Dump Truck Tyres, Festus Kunkyin-Saadaari, Alfred Kesseh, Victor Kwaku Agadzie

Journal of Sustainable Mining

The useful life of dump truck tyres is crucial for optimising economic efficiency and safety in mining operations. This study employs advanced hybrid models, including a generalised regression neural network (GRNN) combined with an artificial bee colony (ABC), ant colony optimisation (ACO), and firefly algorithm (FA), to predict tyre life at Perseus Mining Ghana Limited to enhance prediction accuracy. Sensitivity analysis using simple linear regression (SLR) identified tread depth as the most influential factor, with a correlation coefficient of 0.9638. Among the models, GRNN-FA demonstrated superior performance, achieving the highest correlation coefficient (r = 0.9586) and lowest mean squared error …

Email Spam Classification Based On Deep Learning Methods: A Review, Ekramul Haque Tusher, Mohd Arfian Ismail, Anis Farihan Mat Raffei

Iraqi Journal for Computer Science and Mathematics

Email spam is a significant issue confronting both email consumers and providers. The evolution of spam filtering has progressed considerably, transitioning from basic rule-based filters to more sophisticated machine learning algorithms. Deep learning has become a potent collection of techniques for addressing intricate issues such as spam classification in recent times. A thorough literature evaluation is required to have a comprehensive overview of the current research on utilizing deep learning methods for email spam classification. This review aims to identify the various deep learning techniques used for email spam, their effectiveness, and areas for future research. By synthesizing the outcomes …

Trpv4 Dominates High Shear-Induced Initial Traction Response And Long-Term Relaxation Over Piezo1, Mohanish Chandurkar, Manli Yang, Majid Rostami, Sangyoon J. Han

Michigan Tech Publications

Modulation of endothelial traction is critical for the responses of endothelial cells to fluid shear stress (FSS), which has profound implications for vascular health and atherosclerosis. Previously, we demonstrated that under high FSS, endothelial cells rapidly increase traction forces, followed by relaxation, with traction aligning in the flow direction. In contrast, low shear preconditioning induces a modest short-term increase in traction (min), followed by a secondary long-term (>14 hr) rise, with traction/cells aligning perpendicular to the flow. The upstream mechanosensors driving these responses, however, remain unknown. Here, we sought the roles of Piezo1 and TRPV4 ion channels in shear-induced …

Experimental Investigation And Operating Characteristics Of Lhr Engine Using Bio-Fuel Blends With Additives, Suresh R

Theses and Dissertations

The huge energy demand and environmental anxiety are the reasons for the focus on the interest in alternative fuels for diesel engines. This has resulted in a worldwide search for renewable, less pollutant and agricultural-based alternate fuels. Also, attention is given to increasing the efficiency of a conventional diesel engine when operating on alternative fuels. The bio-fuel derived from non-edible oil such as Pongamia oil and Neem seed oil are suggested alternative fuels for this LHR engine.

Diesel engine combustion components viz., the piston crown and liner were coated with Aluminium Titanate thermal barrier coating material. The objective of this …

Identifying Breathing, Swallowing, And Speech Biosignatures In Parkinson’S Disease Patients With Wearable Devices, Amanda Brandaris, Katherine Shishido, Rohaan Manzoor, Ethan Hampton, Karthik Jasty, Kelvin Guo, Anna Fish, Spencer Peterson, Ulrike H. Mitchell Phd, Phillip Sechtem Phd, Ccc-Slp, Paula Johnson Phd, Anton E. Bowden Phd, Miriam Cortez-Cooper Pt, Phd, Pamela I. Barney Msrt, Rrt, Ae-C, Nps, John A. Kriak Pharmd

Annual Research Symposium

No abstract provided.

02.10.2025 Ored Connect, Liz Williamson

ORED Newsletter

Community Engagement Recognition

Iros 2023 Workshop Report: Draft Guidelines On Manufacturing Procedures, Test Methods And Reporting For Soft Robotics, Robert Baines, Laura Blumenschein, Jennifer Case, Robert Maccurdy, Gina Olson, Andrew Spielberg

School of Mechanical Engineering Working Papers

No abstract provided.

Multimodal Search On A Line, Jared Coleman, Dmitry Ivanov, Evangelos Kranakis, Danny Krizanc, Oscar Morales Ponce

Computer Science Faculty Works

Inspired by the diverse set of technologies used in underground object detection and imaging, we introduce a novel multimodal linear search problem whereby a single searcher starts at the origin and must find a target that can only be detected when the searcher moves through its location using the correct of p possible search modes. The target’s location, its distance d from the origin, and the correct search mode are all initially unknown to the searcher. We prove tight upper and lower bounds on the competitive ratio for this problem. Specifically, we show that when p is odd, the optimal …

The Case Of The Unexpected Attorney, Sarah Nilsson

Publications

Associate Professor of Applied Aviation Science Sarah Nilsson shares her professional experiences and insights in the areas of aviation and aviation law.

Hemodynamics Of Slip Surfaces For Thrombosis Control In Implanted Cardiovascular Devices, Kieun Choi, Weiguang Yang, On Shun Pak, Jongmin Seo

Mechanical Engineering Faculty Publications

Percutaneous medical devices are preferred for the treatment of cardiovascular diseases due to their minimal intervention compared to surgery. However, complications such as thrombosis remain significant challenges. This study aims to investigate the hemodynamic effects of slip surfaces on pacemaker leads and coronary stents using computational fluid dynamics under physiological conditions. Two computational models were developed: a venous anatomical model with a pacemaker lead and a coronary artery model with a stent. Slip boundary conditions were applied to these devices, and we quantitatively analyzed critical hemodynamic parameters, including wall shear stress (WSS) and residence time (RT), which are associated with …

A Review Of Optical Flow Velocimetry In Fluid Mechanics, Gauresh Raj Jassal, Bryan E. Schmidt

Faculty Scholarship

Optical flow methods have been developed over the past two decades for application to particle image velocimetry (PIV) images with the goal of acquiring higher resolution measurements of the velocity field than conventional cross-correlation (CC)-based techniques. Numerous optical flow velocimetry (OFV) algorithms have been devised to solve the ill-posed optical flow problem, with various physics-inspired strategies to tailor them to fluid flows. While OFV can be applied to continuous scalar fields, it has demonstrated the most success on images of tracer particles, i.e. traditional planar PIV images. Compared to state-of-the-art CC algorithms, OFV methods have demonstrated an order of magnitude …

Research Of Horse Oil Based Shampoo For Fine Hair Involving Local Oils And Enzyms Transesterification, Sherzod Y. Rakhmanov, Madina O. Khaydarova, Bonu G. Аrislonboyeva, Nilufar A. Khaydarova, Dilshod P. Rakhimov

CHEMISTRY AND CHEMICAL ENGINEERING

Currently, there are many shampoos, balms and various hair masks. Shampoo-tonics have also been introduced into production, providing temporary coloring without damaging the hair structure. In this research work, we set ourselves the task of conducting a study of a shampoo for soft hair that provides durability, granularity and shine to hair by transesterifying horse oil with the enzyme lipase and the surfactant sodium lauryl sulfate. Depending on the type of shampoo, we conducted a scientific study using the following experimental method. To add horse oil to the shampoo formula, we re-esterified mixtures of horse oil and sunflower oil in …

Effect Of Desorption On Photocatalytic Decomposition Of Methylene Blue Using Materials From Solid Wastes Of Production Of Molybdenum Oxides (Vi) And Titanium Dioxide, Dilshoda R. Tursunova, Shahlo Sh. Daminova, Rafael A. Nusretov, Ayipbergen Shiknazarov, Zuhra Ch. Kadirova

CHEMISTRY AND CHEMICAL ENGINEERING

The aim of the work is to obtain and characterize a composite photocatalyst based on the spent catalyst of the Shurtan Mining and Chemical Combine based on titanium dioxide and molybdenum-containing waste of the Almalyk Mining and Metallurgical Combine and to identify factors influencing the process of photocatalytic decomposition of methylene blue in solution under the action of UV light. In this work, we studied the kinetics of photocatalytic decomposition of methylene blue on the surface of materials obtained from technogenic solid waste, which were thermally activated at a temperature of 600 ° C. It was found that desorption plays …

X-Ray Photoelectron Spectroscopy Investigation Of Surface Changes In Chalcocite And Enargite Minerals Following Oxidation Treatment, Berdakh T. Daniyarov, Miki Hajime, Baxtigul Y. Ruzieva, Shahlo Sh. Daminova

CHEMISTRY AND CHEMICAL ENGINEERING

Copper sulfide minerals, such as chalcocite (Cu₂S) and enargite (Cu₃AsS₄), are important sources of copper, which has wide applications in electronics, energy, and other industries. These minerals are traditionally processed using flotation methods, which are one of the most effective ways to extract copper from sulfide ores. However, the success of flotation of copper sulfides, such as chalcocite and enargite, strongly depends on changes in their surface properties, such as hydrophobicity or hydrophilicity, which can be modified by various chemical reagents. To further understand the impact of these chemical reagents on chalcocite and enargite minerals, X-ray photoelectron spectroscopy (XPS) was …

Synthesis And Study Of Complex Compounds With 1,3,4-Oxadiazole Derivatives Based On Ammonium Vanadate, Mehribon A. Pirimova, Shaxnoza A. Kadirova, Abduhakim A. Ziyayev

CHEMISTRY AND CHEMICAL ENGINEERING

This research work examines the synthesis, structure and properties of ammonium vanadate complex compounds based on 1,3,4-oxadiazole derivatives. Competing donor centers in coordination, electronic and geometric structures of the ligand molecule were studied based on quantum chemical calculations using the Gaussian09 LanL2DZ software package. Among the ligands, 2-carboxymethylthio-5-phenyl-1,3,4-oxadiazole ligand has been shown to have more competitive donor atoms than other ligands.

Structural Features And Morphology Of Biodegradable Composites Based On Polylactide And Corn Starch, Eygeniy N. Poddenezhny, Andrei A. Boiko, Ekaterina E. Trusova, Viktor M. Shapovalov

CHEMISTRY AND CHEMICAL ENGINEERING

The aim of the work was to study the morphology and structural features of biodegradable composites based on polylactide, filled with corn starch formed by extrusion method. The characteristics of the obtained materials were investigated by scanning electron microscopy, X-ray diffraction, IR spectroscopy. It was established that the presence of polyethylene glycol PEG–4000 as a plasticizer and surfactant – glycerin monostearate in the initial mixture leads to the formation of a nonporous heterogeneous system, in which starch particles are statistically distributed in the matrix. The starch concentration in the composite varied from 20 to 55 wt. %. When the starch …

Influence Of Thermal Cycling On The Resistance Of Bismuth Cuprates Synthesized Using Solar Energy, Dilbara Dj. Gulamova, Sirojiddin Z. Mirzaev, Sirojiddin Kh. Bobokulov, Elyor B. Eshonkulov, Grigor I. Mamniashvili

CHEMISTRY AND CHEMICAL ENGINEERING

A bulk superconducting ceramic synthesized using solar technology exhibits a sharp increase in resistance from zero to approximately 160Ω at 250 K. Four thermal cycling tests in the range of 79-360 K revealed a tendency for the temperature transition interval to narrow and a comparatively sharp jump at 290 K, suggesting a superconducting transition. The effect of stress concentration at grain boundaries during four cycles leads to an increase in the superconducting transition temperature due to the cumulative rise in stress and pinning force. The assumption that these effects are caused by superconducting homologous phases is based on the manifestation …

The Effect Of B2o3 On The Structure And Properties Of The Glasses Of The Na2o–Cao–Mgo–Sio2–P2o5 System, Mihail V. Dyadenko, Ivan A. Levitskiy, Irina I. Kurilo, Alexander S. Glinskii

CHEMISTRY AND CHEMICAL ENGINEERING

The purpose of this work was to study the effect of boron oxide on the physico-chemical and technological properties of glasses of the Na₂O–CaO–MgO–SiO₂–P₂O₅ system. The study of crystallization ability, density, the temperature of the onset of softening, as well as the chemical stability of experimental glasses modified with boron oxide, made it possible to indirectly assess their ability to dissolve in aqueous solutions and show bioactive properties. The article presents the results of the influence of B₂O₃ on the viscosity of the studied glasses and the value of their …

Research Of The Decomposition Process Of Unenriched Phosphate Raw Materials Of Central Kyzylkum With Nitric And Sulfuric Acids, Husan A. Zikirov, Ruslan Ch. Yorbobaev, Kholtura Ch. Mirzakulov

CHEMISTRY AND CHEMICAL ENGINEERING

The aim of the research is to establish the optimal technological parameters of the process of decomposition of unenriched phosphate raw materials of the Central Kyzylkum nitric and sulfuric acid for processing complex nitrogen-phosphorus fertilizers, to study the chemical composition, rheological properties. The coefficient of decomposition of unenriched phosphate raw materials, pH of acid pulp depending on various ratios and the total rate of nitric-sulfuric acid, as well as S:L of the environment are determined. The chemical and mineralogical composition of nitrosulphophosphate fertilizers formed after drying the ammoniated pulp are established.

Machine Learning And Shap Interpretability For Chronic Disease Understanding, Nnaemeka Charles Igwe, Khandaker Mamun Ahmed

SDSU Data Science Symposium

Non-communicable diseases (NCDs), such as diabetes, are major global health concerns influenced by various health parameters and lifestyle choices. Traditional methods struggle to efficiently predict and manage these conditions due to the complexity and diversity of medical data. There is a need to leverage machine learning algorithms and modern computational tools to accurately predict diabetes, improve diagnosis, and provide actionable insights for better healthcare outcomes. In this project we study the application of machine learning methods for predicting NCDs such as diabetes. Moreover, we leverage hyperparameter tuning techniques for model development and SHapley Additive exPlanation (SHAP) for results interpretations and …

Generative Ai For Synthetic Data Creation: Building Mastery-Focused Educational Datasets, Tapiwa Amion Chinodakufa, Khandaker Mamun Ahmed

SDSU Data Science Symposium

Synthetic data is artificially generated data that mimics the statistical properties of real world data without exposing sensitive information. It is used in analysis, research, and deployments. Educational technology (EdTech) is an area where synthetic data can solve the problems of data scarcity, privacy concerns, regulatory compliance, bias reduction, data quality, data integrity, and cost efficiency. Our research aims to generate synthetic educational dataset by leveraging generative AI techniques such as Autoencoder, variational autoencoder and Copula-GAN. Our experimental results shows the significant progress in generating educational dataset and represents the data distribution of synthetic and real data.

Synergizing Gis And Genetic Algorithms To Enhance Road Management And Fund Allocation With A Comprehensive Case Study Approach, Mohamed Nabawy

Civil Engineering

This study identifies a critical knowledge gap, revealing how the deterioration of roads, compounded by extensive usage and additional factors, poses significant risks to the road networks’ functionality. Without a robust fund allocation and prioritization strategy, the extent of this risk may be overlooked, adversely affecting the performance of essential infrastructure elements. Our research introduces an integrated decision-making model for existing road infrastructures to address this gap. This innovative approach combines a Geographic Information System (GIS)-based road management model with a fund allocation prioritization strategy, enhanced by an optimization engine via a genetic algorithm. The primary aim is to precisely …

Inclusive Space For Everyone Door Sign (Printable 8.5 X 11 Inch), Joan H. Robinson

Open Educational Resources

This is a printable 8.5 x 11 inch door sign for faculty, staff, and administrators to let people know it is an inclusive space for everyone. For improved visibility, print with a color printer and cut along the dotted line.

See also: 11 x 17 inch door sign.

Significance Of Multi-Level Fusion In Multi-Component Fault Diagnosis Under Speed Varying Condition In Rotational Machinery, S. Sowmya, M. Saimurugan, Immanuel A. Edinbarough

Informatics and Engineering Systems Faculty Publications

Most well-known challenging effects of identifying multiple defects in a rotational machine when speed is varied, are illustriously inspected by many researchers. However, different fusion logics are evolved in the series of research attempt, but not paid much attention in interrogating it for unsteady speed signals.Addressing this literature void, this paper focusses on multi-level fusion strategy with the help of sensor-centric feature integration and Dempster Shafer’s (D-S) theory of evidence for uncovering multi-faults in bearings, shafts and gears of rotational machines under speed variational condition. Primarily, instantaneous frequency and envelope from the acquired vibration and sound signals of complex system …

Synergizing Gis And Genetic Algorithms To Enhance Road Management And Fund Allocation With A Comprehensive Case Study Approach, Mohamed Nabawy

Civil Engineering

This study identifies a critical knowledge gap, revealing how the deterioration of roads, compounded by extensive usage and additional factors, poses significant risks to the road networks’ functionality. Without a robust fund allocation and prioritization strategy, the extent of this risk may be overlooked, adversely affecting the performance of essential infrastructure elements. Our research introduces an integrated decision-making model for existing road infrastructures to address this gap. This innovative approach combines a Geographic Information System (GIS)-based road management model with a fund allocation prioritization strategy, enhanced by an optimization engine via a genetic algorithm. The primary aim is to precisely …

Synergizing Gis And Genetic Algorithms To Enhance Road Management And Fund Allocation With A Comprehensive Case Study Approach, Ahmed Gouda Mohamed

Civil Engineering

This study identifies a critical knowledge gap, revealing how the deterioration of roads, compounded by extensive usage and additional factors, poses significant risks to the road networks’ functionality. Without a robust fund allocation and prioritization strategy, the extent of this risk may be overlooked, adversely affecting the performance of essential infrastructure elements. Our research introduces an integrated decision-making model for existing road infrastructures to address this gap. This innovative approach combines a Geographic Information System (GIS)-based road management model with a fund allocation prioritization strategy, enhanced by an optimization engine via a genetic algorithm. The primary aim is to precisely …

Strength And Durability Characteristics Of Mortar Containing Fine Glass Powders As Partial Substitute Of Cement, Deepa Paul, Bindhu K.R, G. M. Sadiqul Islam, Bindhu K. R.

ASEAN Journal on Science and Technology for Development

A recent trend in construction involves the application of high-strength mortar which consumes a high quantity of cement. The present study aims at producing a sustainable mortar utilising waste glass powders (GP) as a partial substitute for cement in mortar. GP grains having different particle sizes in equal proportions were carried out in the mortar mix for improved packing. After realising the cementing properties of GP particles from the microanalyses like micron-size, silica-rich, reactive, and thermal resistance, mechanical and durability aspects of the mortar composite with manufactured sand as a fine aggregate were examined. The mechanical properties of the mortar …

Internet Of Things Devices Users’ Privacy Adherence: A Case Of Digital Ignorance, Akrasia Or Exhaustion?, Philip Bazanye, Walter F. Uys, Wallace Chigona

The African Journal of Information Systems

Internet of Things devices, such as those used in home automation, commercial and retail business, and smart cities, are vulnerable to attacks that affect all aspects of daily life. The upsurge in the use of IoT devices has increased the likelihood of cyber-attacks on end users. This research investigates the factors that influence IoT device users to adhere to privacy standards. This interpretivist exploratory research was guided by a three-phased approach. The interview questions were derived from the conceptual model and the constructs of Activity Theory, and themes were analyzed using deductive thematic analysis. The findings were elaborated with reference …

Design And Modelling Of Advanced Power Converter Control For Harmonics Suppression And Energy Management, Jayant Sharma S

Theses and Dissertations

The quality of electrical power plays a crucial role in both industrial and domestic sectors. This issue becomes even more critical in systems that incorporate power converter-based loads, which are commonly integrated at the grid connection point. Motor drives and grid-integrated electric vehicle (EV) charging stations belong to a category of non-linear loads that inherently introduce substantial harmonic distortion into the current drawn from AC mains. This harmonic distortion adversely affects power quality, potentially leading to overheating and malfunctions in sensitive equipment across the grid. Furthermore, the widespread adoption of solar photovoltaic (PV) technology for EV charging stations has surged …