Engineering Commons^™

A Comprehensive Evaluation Of Wastewater Grit Characteristics And Its Application In The Design Of A Facility-Specific Grit Removal Solution, Tetiana Kolsovska

Theses and Dissertations

Tailored solutions for wastewater treatment plants (WWTPs) are becoming more prevalent for optimization of treatment process, based on the unique quality of the influent received by each facility. In-depth evaluation of the influent properties is necessary for design of the most appropriate treatment system. In this study, wastewater grit was evaluated in terms of its quantity, particle size distribution, total organic carbon (TOC) content, including fats, oils, and grease (FOG), and settling velocity of the particles, over the course of one year at the headworks, collection network, and through the treatment stages of the Atlantic County Utilities Authority (ACUA) WWTP, …

Kinetic Study Of The Anaerobic Digestion Of Recycled Paper Mill Effluent (Rpme) By Using A Novel Modified Anaerobic Hybrid Baffled (Mahb) Reactor, Siti Roshayu Hassan, Yung-Tse Hung, Irvan Dahlan, Hamidi Abdul Aziz

Civil and Environmental Engineering Faculty Publications

The process kinetics of an anaerobic digestion process for treating recycled paper mill effluent (RPME) was investigated. A laboratory-scale modified anaerobic hybrid baffled reactor (MAHB) was operated at hydraulic retention times of 1, 3, 5, and 7 days, and the results were analyzed for the kinetic models. A kinetic study was conducted by examining the phase kinetics of the anaerobic digestion process, which were divided into three main stages: hydrolysis kinetics, acetogenesis kinetics, and methane production kinetics. The study demonstrated that hydrolysis was the rate-limiting step. The applied Monod and Contois kinetic models showed satisfactory prediction with µmax values of …

An Artificial Intelligence Approach To Fatigue Crack Length Estimation From Acoustic Emission Waves In Thin Metallic Plates, Joseph Chandler Garrett, Hanfei Mei, Victor Giurgiutiu

Faculty Publications

The acoustic emission (AE) technique has become a well-established method of monitoring structural health over recent years. The sensing and analysis of elastic AE waves, which have involved piezoelectric wafer active sensors (PWAS) and time domain and frequency domain analysis, has proven to be effective in yielding fatigue crack-related information. However, not much research has been performed regarding (i) the correlation between the fatigue crack length and AE signal signatures and (ii) artificial intelligence (AI) methodologies to automate the AE waveform analysis. In this paper, this crack length correlation is investigated along with the development of a novel AE signal …

Identification Of A Novel Glucuronyltransferase From Streptomyces Chromofuscus Atcc 49982 For Patural Product Glucuronidation, Jie Ren, Caleb Don Barton, Kathryn Eternity Sorenson, Jixun Zhan

Biological Engineering Faculty Publications

Glycosylation is an effective way to increase the polarity of natural products. UDP-glucuronyltransferases (UGTs) are commonly observed and extensively studied in phase II drug metabolism. However, UGTs in microorganisms are not well studied, which hampered the utilization of this type of enzyme in microbial glucuronidation of natural products. Screening of five actinomycete strains showed that Streptomyces chromofuscus ATCC 49982 can convert diverse plant polyphenols into more polar products, which were characterized as various glucuronides based on their spectral data. Analysis of the genome of this strain revealed a putative glucuronidation gene cluster that contains a UGT gene (gcaC) …

Applications Of Unsupervised Machine Learning In Autism Spectrum Disorder Research: A Review, Chelsea Parlett-Pelleriti, Elizabeth Stevens, Dennis R. Dixon, Erik J. Linstead

Engineering Faculty Articles and Research

Large amounts of autism spectrum disorder (ASD) data is created through hospitals, therapy centers, and mobile applications; however, much of this rich data does not have pre-existing classes or labels. Large amounts of data—both genetic and behavioral—that are collected as part of scientific studies or a part of treatment can provide a deeper, more nuanced insight into both diagnosis and treatment of ASD. This paper reviews 43 papers using unsupervised machine learning in ASD, including k-means clustering, hierarchical clustering, model-based clustering, and self-organizing maps. The aim of this review is to provide a survey of the current uses of …

Hyperparameter Optimization For Covid-19 Chest X-Ray Classification, Ibraheem Hamdi, Muhammad Ridzuan, Mohammad Yaqub

Computer Vision Faculty Publications

Despite the introduction of vaccines, Coronavirus disease (COVID-19) remains a worldwide dilemma, continuously developing new variants such as Delta and the recent Omicron. The current standard for testing is through polymerase chain reaction (PCR). However, PCRs can be expensive, slow, and/or inaccessible to many people. X-rays on the other hand have been readily used since the early 20th century and are relatively cheaper, quicker to obtain, and typically covered by health insurance. With a careful selection of model, hyperparameters, and augmentations, we show that it is possible to develop models with 83% accuracy in binary classification and 64% in multi-class …

Design Of Broadband Helmholtz Resonator Arrays Using The Radiation Impedance Method, Vidhya Rajendran, Andy Piacsek, Tomás Méndez Echenagucia

All Faculty Scholarship for the College of the Sciences

This paper describes the design process of a low-frequency sound absorptive panel composed of differently tuned Helmholtz resonators (HRs), considering size and fabrication constraints relevant for applications in the building sector. The paper focuses on cylindrical and spiral resonators with embedded necks that are thin and can achieve high absorption. the mutual interaction between the resonators was modeled based on the radiation impedance method and it plays a key component in enhancing the absorption performance of the array. The differential evolution search algorithm was used to design the resonators and modify their mutual interaction to derive the absorption performance of …

Therapeutic Treatment With The Anti-Inflammatory Drug Candidate Mw151 May Partially Reduce Memory Impairment And Normalizes Hippocampal Metabolic Markers In A Mouse Model Of Comorbid Amyloid And Vascular Pathology, David J. Braun, David K. Powell, Christopher J. Mclouth, Saktimayee M. Roy, D. Martin Watterson, Linda J. Van Eldik

Neuroscience Faculty Publications

Alzheimer's disease (AD) is the leading cause of dementia in the elderly, but therapeutic options are lacking. Despite long being able to effectively treat the ill-effects of pathology present in various rodent models of AD, translation of these strategies to the clinic has so far been disappointing. One potential contributor to this situation is the fact that the vast majority of AD patients have other dementia-contributing comorbid pathologies, the most common of which are vascular in nature. This situation is modeled relatively infrequently in basic AD research, and almost never in preclinical studies. As part of our efforts to develop …

Alf3-Al2o3 Ald Thin-Film-Coated Li1.2mn0.54co0.13ni0.13o2 Particles For Lithium-Ion Batteries: Long-Term Protection, Han Yu, Xiaoqing He, Xinhua Liang

Chemical and Biochemical Engineering Faculty Research & Creative Works

Improving the performance of existing cathode materials of lithium-ion batteries (LIBs) through surface modification has been proven to be an effective way to improve the performance of LIBs. However, it is a challenge to use a traditional method to prepare an effective coating film, which meets the requirements of uniformity, continuity, electrochemical stability, and strong mechanical properties. In this study, an ultrathin AlF₃-Al₂O₃ film was coated on the surface of Li_1.2Mn_0.54Co_0.13Ni_0.13O₂ (LRNMC) particles by atomic layer deposition (ALD) in a fluidized bed reactor. A cathode electrolyte …

An Intelligent Distributed Ledger Construction Algorithm For Iot, Charles Rawlins, Jagannathan Sarangapani

Electrical and Computer Engineering Faculty Research & Creative Works

Blockchain is the next generation of secure data management that creates near-immutable decentralized storage. Secure cryptography created a niche for blockchain to provide alternatives to well-known security compromises. However, design bottlenecks with traditional blockchain data structures scale poorly with increased network usage and are extremely computation-intensive. This made the technology difficult to combine with limited devices, like those in Internet of Things networks. In protocols like IOTA, replacement of blockchain's linked-list queue processing with a lightweight dynamic ledger showed remarkable throughput performance increase. However, current stochastic algorithms for ledger construction suffer distinct trade-offs between efficiency and security. This work proposed …

Bluefmcw: Random Frequency Hopping Radar For Mitigation Of Interference And Spoofing, Thomas Moon, Jounsup Park, Seungmo Kim

Electrical Engineering Faculty Publications and Presentations

Radars form a central piece in a variety of emerging applications requiring higher degrees of localization. However, two problems are anticipated as more radars are deployed: viz., (i) inter-radar interference and (ii) security attacks. While many prior proposals have addressed the problems, no work in the radar literature addressed them simultaneously. In this context, we introduce a novel frequency-modulated continuous-wave (FMCW) radar scheme (namely, BlueFMCW) that aims to alleviate the damage from interference and active attacks (e.g., spoofing). The technique designs that the waveform randomly hops across multiple frequencies to dilute the damage at a certain frequency. Moreover, we propose …

A Comparison Of Sporadic-E Occurrence Rates Using Gps Radio Occultation And Ionosonde Measurements, Rodney Carmona, Omar A. Nava, Eugene V. Dao, Daniel J. Emmons

Faculty Publications

Sporadic-E (E_s) occurrence rates from Global Position Satellite radio occultation (GPS-RO) measurements have shown to vary by a factor of five between studies, motivating the need for a comparison with ground-based measurements. In an attempt to find accurate GPS-RO techniques for detecting E_s formation, occurrence rates derived using five previously developed GPS-RO techniques are compared to ionosonde measurements over an eight-year period from 2010–2017. GPS-RO measurements within 170 km of a ionosonde site are used to calculate E_s occurrence rates and compared to the ground-truth ionosonde measurements. The techniques are compared individually for each ionosonde site …

Multisector Dynamics: Scientific Challenges And A Research Vision For 2030, A Community Of Practice Supported By The United States Department Of Energy's Office Of Science, Patrick M. Reed, Antonia Hadjimichael, Richard H. Moss, Erwan Monier, Sequoia Alba, Christa Brelsford, Ana Dyreson, Et. Al.

Michigan Tech Publications, Part 1

No abstract provided.

Influence Of Pinholes On Water Vapor And Oxygen Permeation Of Packaging Foil And Films, Petri Johansson, Johanna Lahti, Jurkka Kuusipalo

Journal of Applied Packaging Research

Controlling of moisture and oxygen permeation through the packaging material is essential in most packaging applications. With multilayer structures of different barrier materials, there is possibility to create desired barrier properties to the package. The challenge is to plan appropriate barrier level, e.g. WVTR and OTR, theoretically to the package before producing the package. Furthermore, in specific packages there is a need to control the permeation e.g. respiration in vegetable packages. Typically foils and polymer films have high barrier properties, therefore, permeation can be controlled by producing artificial pinholes in these kinds of packages.

Influence of artificial pinholes in aluminium …

A Novel Approach For Real-Time Quality Monitoring In Machining Of Aerospace Alloy Through Acoustic Emission Signal Transformation For Dnn, David Adeniji, Kyle Oligee, Julius Schoop

Mechanical Engineering Faculty Publications

Gamma titanium aluminide (γ-TiAl) is considered a high-performance, low-density replacement for nickel-based superalloys in the aerospace industry due to its high specific strength, which is retained at temperatures above 800 °C. However, low damage tolerance, i.e., brittle material behavior with a propensity to rapid crack propagation, has limited the application of γ-TiAl. Any cracks introduced during manufacturing would dramatically lower the useful (fatigue) life of γ-TiAl components, making the workpiece surface’s quality from finish machining a critical component to product quality and performance. To address this issue and enable more widespread use of γ-TiAl, this research aims to develop a …

A Novel Approach For Real-Time Quality Monitoring In Machining Of Aerospace Alloy Through Acoustic Emission Signal Transformation For Dnn, David Adeniji, Kyle Oligee, Julius Schoop

Mechanical Engineering Faculty Publications

Gamma titanium aluminide (γ-TiAl) is considered a high-performance, low-density replacement for nickel-based superalloys in the aerospace industry due to its high specific strength, which is retained at temperatures above 800◦C. However, low damage tolerance, i.e., brittle material behavior with a propensity to rapid crack propagation, has limited the application of γ-TiAl. Any cracks introduced during manufacturing would dramatically lower the useful (fatigue) life of γ-TiAl components, making the workpiece surface’s quality from finish machining a critical component to product quality and performance. To address this issue and enable more widespread use of γ-TiAl, this research aims to develop a real-time …

Simulation-Aided Development Of A Cnn-Based Vision Module For Plant Detection: Effect Of Travel Velocity, Inferencing Speed, And Camera Configurations, P. R. Sanchez, Hong Zhang

Henry M. Rowan College of Engineering Departmental Research

In recent years, Convolutional Neural Network (CNN) has become an attractive method to recognize and localize plant species in unstructured agricultural environments. However, developed systems suffer from unoptimized combinations of the CNN model, computer hardware, camera configuration, and travel velocity to prevent missed detections. Missed detection occurs if the camera does not capture a plant due to slow inferencing speed or fast travel velocity. Furthermore, modularity was less focused on Machine Vision System (MVS) development. However, having a modular MVS can reduce the effort in development as it will allow scalability and reusability. This study proposes the derived parameter, called …

Table Of Contents, The Editors

Coal Geology & Exploration

No abstract provided.

Characteristics And Detection Performance Of The Source Of Seismic While Excavating In Underground Coal Mines, Wang Baoli, Cheng Jianyuan, Jin Dan, Yang Xiaogang, Yang Hui

Coal Geology & Exploration

Against a background of intelligent coal mines, seismic while excavating has become one of the key geological guarantee technologies for safe excavation in the mining face. It can detect hidden geological structures in real-time, in advance and finely, such as goafs, faults, and collapsed columns, effectively promoting safe and efficient excavation and production. Different from the widely used advanced detection technology of reflection in-seam wave, the vibration signal of the tunneling machine is used as the excitation source, which replaces the explosive source in conventional seismic exploration. It has the advantages of environmental frendliness, safety, low cost, recyclability and combined …

Application Of Borehole Transient Electromagnetic Method In Detecting The Cross-Border Mining Goaf, Fan Tao, Li Ping, Zhao Zhao, Li Wei, Zhao Rui, Zhang Peng, Yao Weihua, Li Yuteng, Fang Zhe

Coal Geology & Exploration

Cross-border mining in underground coal mines disrupts the order of coal resource development, and has huge hidden safety danger. Accurate detection of goafs caused by cross-border mining and their boundaries is extremely important for safe mining. Conventional mine transient electromagnetic detection methods are susceptible to interference from metal and electromagnetic signals in the roadway, and its detection accuracy is limited, which makes it difficult to meet the needs of accurate interpretation of goaf boundary. For the purpose of solving this problem, a drilling transient electromagnetic method and construction technology for transmitting and receiving signals in drilling is proposed to increase …

Application Of Reflected In-Seam Wave Detection For Small Faults In Thick Coal Seams, Su Xiaoyun

Coal Geology & Exploration

In general, the fault distance and extension length of small faults in the working face of thick coal seams and extremely thick coal seams are short. Due to the limitation of resolution, it is generally difficult to detect such small faults with current methods and instruments. The unclear detection of small faults will have a great impact on the efficient recovery of the intelligent working face. To solve this problem, the numerical simulation and field experiment of small fault reflected in-seam wave detection in the thick coal seam are carried out. In terms of numerical simulation, the three-component elastic wave …

Application Of Mine-Used Resistivity Monitoring System In Working Face Water Disaster Control, Lu Jingjin, Wang Bingchun, Li Deshan, Duan Jianhua

Coal Geology & Exploration

The geological transparency of water disasters is in urgent need to serve the intelligent and unmanned mining of coal mines. Focused on the water disasters during mining in the working face, the mine-used resistivity monitoring system uses pseudo-random signal transmission and full waveform data acquisition to improve the anti-interference ability of the equipment. Electrode grounding condition consistency correction and monitoring data normalization are used to suppress false anomalies. Time-lapse resistivity imaging is used to identify and extract the abnormal resistivity response of hidden water hazards. The monitoring system is able to estimate the risk of water disasters by monitoring the …

Resistivity Detection And Its Application In Underground Coal Mine Directional Boreholes, Li Bofan, Liu Lei, Fan Tao, Jiang Qiping, Wang Jie

Coal Geology & Exploration

The working face threatened by high gas or Ordovician limestone water pressure generally adopts directional drilling technology to carry out fracturing or grouting works at the bottom of the working face before mining to ensure the safety of mining. In-hole probing in directional boreholes in the bottom plate can reveal the hidden structures in the working face in a more detailed way, and can also realize “one hole for multiple uses”. In order to solve the detection problem in the directional drilling, a method of DC resistivity detection in the horizontal directional drilling is proposed. To solve the problem of …

Research On Key Technologies Of The Zdy25000ldk Intelligent Directional Drilling Equipment, Fang Peng, Yao Ke, Wang Longpeng, Zhang Rui, Meng Rui, Wang Song, Shao Junjie, Liu Pu

Coal Geology & Exploration

It is the most direct and effective method to extract coalbed methane by drilling along the coal seam and high-level drilling on the roof for comprehensive treatment of coalbed methane in underground coal mines. Improving the drilling speed of directional drilling and the drilling encounter rate in the coal seam of uneven thickness with large fluctuation, reducing the labor intensity of the personnel, enhancing the ability to prevent drilling accidents, and adapting to the intelligent development needs of coal mines, the intelligent drilling equipment for long-distance directional drilling in coal mines are all the important problems to be solved in …

Development Of A Remote Monitoring System For Coal Mine Automatic Drilling Rigs, Wang Tianlong, Ma Bin, Dong Hongbo

Coal Geology & Exploration

According to the policies on the manufacturing of national energy equipment, coal mine robots and intelligent development of coal mines as well as the trend of intelligent development of coal equipment, a remote monitoring system of automatic drilling rigs for coal mines is developed to monitor the automatic drilling rig remotely on the ground by using sensor measurement, software development, virtual reality, network communication, video monitoring and other technologies. The problems of incomplete parameter display, insufficient effective monitoring and inconvenient maintenance of the existing underground coal mine drilling rig are solved. The remote monitoring system includes the main rig, onboard …

Development And Application Of A Mine-Used Dynamic Azimuth Gamma Instrument While Drilling, Chen Long, Chen Gang, Zhang Jiguan

Coal Geology & Exploration

Gas drainage borehole along coal seams is the most direct and effective gas control method at present. As a common basis for identifying coal bearing formations, natural gamma can tell whether the borehole trajectory is in the target layer according to the formation radioactivity. However, the existing mine-used gamma logging tools can only carry out sliding drilling measurement, which are not applicable to compound drilling or rotary steering drilling, and cannot meet the working condition of continuous gamma dynamic measurement. On the basis of the analysis of the characteristics of the working conditions of MWD and the principle of gamma …

Key Technologies And Engineering Practice Of 3d Laser Scanning In Coal Mine Roadways, Wang Haijun, Liu Zaibin, Lei Xiaorong, Han Baoshan, Lu Ziqing

Coal Geology & Exploration

Intelligent and unmanned mining is an inevitable trend in the development of the coal industry. Precise geological information detection is one of the current key research and development directions in the construction of smart coal mines. The precise detection of information on roadways and the rapid acquisition of three-dimensional roadway models are important data sources for geological transparence. Through a comparative analysis of traditional roadway modeling methods and their advantages and disadvantages, a technical idea of using three-dimensional laser scanning reconstruction technology to construct a high-precision transparent working face roadway model is proposed. On the basis of the analysis of …

Design And Implementation Of The Geological Guarantee System Architecture Based On Microservices, Li Peng, Cheng Jianyuan

Coal Geology & Exploration

The geological guarantee system is very important for safety production in coal mines. In view of the problems faced by the software development of the system, such as diverse data sources, inconsistent language for integrated development of the geological monitoring system and poor adaptability of the geological support platform in different coal mines caused by customized software development, a three-tier development architecture of the geological support system based on microservices is proposed, which includes an application tier, a platform tier and an infrastructure tier. On the basis of the microservices, the integrated development process of the geological support system is …

The Adaptive Detection Technology Of Ultrasonic Flow In Mining Boreholes, Dai Chenyu, Zhao Pengpeng, Xu Jing

Coal Geology & Exploration

For a better flow monitoring at the borehole of underground gas drainage in coal mines, and in response to the influence of factors such as complex composition, poor purity and poor stability of the medium in the pipeline on the measurement accuracy of drainage flow parameters, a set of adaptive detection system of ultrasonic flow for mining boreholes is designed with the time difference method as the measurement principle and the double threshold comparison method as the detection method. The overall scheme of the detection system is designed based on the analysis of the key problems affecting the measurement accuracy …

Molecular Dynamic Simulation Of Diffusion In The Melt Pool In Laser Additive Alloying Process Of Co-Ni-Cr-Mn-Fe High Entropy Alloy, Mathew Farias, Han Hu, Shanshan Zhang, Jianzhi Li, Ben Xu

Manufacturing & Industrial Engineering Faculty Publications

High entropy alloys (HEAs) can be manufactured in many conventional ways, but it becomes difficult of fabricating heterogeneous materials and structures. Selective Laser Melting (SLM) method generally melts pure elemental powders or prefabricated alloy powders without alloying process. In-situ alloying in SLM, which is also called Laser Additive Alloying (LAA), using pure elemental powders becomes a promising method for creating HEA with heterogeneous structures. However, the effect of the diffusion of elements in the molten pool on the formation of HEA remains unclear. In this paper, the well-discussed Cantor HEA was studied in an in-situ alloying situation, where pure elemental …