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Full-Text Articles in Engineering

Skip The Grid 2022: Solar Powered Refrigeration In The Navajo Nation, Heather L. Sailor Jun 2022

Skip The Grid 2022: Solar Powered Refrigeration In The Navajo Nation, Heather L. Sailor

Construction Management

This paper summarizes the process of an interdisciplinary group of students and faculty at Cal Poly installing eleven off-grid solar systems for families of the Navajo nation. This paper further delves into the lean principals and prefabrication that made it possible as well as the lessons learned to increase the feasibility and scalability of repeating this project in the future. This project was a combined effort of an interdisciplinary group of Cal Poly students and faculty as well as company sponsors Solv Energy, Dometic USA, and Goal Zero, facilitated through the non-profit, Heart of America. The goal of this project …


Construction Of A Visitor Deck At City Farm Slo, Brett Bryan Jones Jun 2022

Construction Of A Visitor Deck At City Farm Slo, Brett Bryan Jones

Construction Management

This paper will discuss the construction of my senior project. For my senior project, I completed the construction of an observation deck at City Farm SLO. City Farm SLO is a non-profit that provides food to local food banks and has educational gardens that allow students of all ages come to learn and volunteer their time. The deck is centrally located at the highest point on the property, making it a great lookout spot for visitors to view the entire farm. However, the location on top of the hill created challenges that we had to overcome. I completed my senior …


Single-Pass Inline Pipeline 3d Reconstruction Using Depth Camera Array, Zhexiong Shang, Zhigang Shen Jun 2022

Single-Pass Inline Pipeline 3d Reconstruction Using Depth Camera Array, Zhexiong Shang, Zhigang Shen

Department of Construction Engineering and Management: Faculty Publications

A novel inline inspection (ILI) approach using depth cameras array (DCA) is introduced to create high-fidelity, dense 3D pipeline models. A new camera calibration method is introduced to register the color and the depth information of the cameras into a unified pipe model. By incorporating the calibration outcomes into a robust camera motion estimation approach, dense and complete 3D pipe surface reconstruction is achieved by using only the inline image data collected by a self-powered ILI rover in a single pass through a straight pipeline. The outcomes of the laboratory experiments demonstrate one-millimeter geometrical accuracy and 0.1-pixel photometric accuracy. …


Performance Evaluation Of Glass-Fiber Reinforced Cement-Free Geopolymer Concrete, Mohammad Zuaiter Jun 2022

Performance Evaluation Of Glass-Fiber Reinforced Cement-Free Geopolymer Concrete, Mohammad Zuaiter

Theses

The alkali-activation of aluminosilicate materials produces a geopolymer binder that promises to be a sustainable replacement to cement in concrete. Yet, such concrete has experienced brittle behavior and poor resistance to cracking. As a means of improving its performance, this research assesses the feasibility of utilizing glass fibers in slag-fly ash blended geopolymer concrete for structural applications. A blend of slag and fly ash served as the binding material. Two types of glass fibers were used individually or as a hybrid combination. Type A and B glass fibers had similar properties but different lengths of 24 and 43 mm, respectively. …


Risk-Based Project Development, Steve Waddle, Ying Li, Christopher Van Dyke Jun 2022

Risk-Based Project Development, Steve Waddle, Ying Li, Christopher Van Dyke

Kentucky Transportation Center Research Report

Risk management is integral to highway project development. Managing risk entails identifying uncertainties which could influence project activities, understanding how they can be mitigated or eliminated, and monitoring risk during project development. Many state transportation agencies have introduced methods for identifying risks, determining whether risks are high impact or low impact, and generating response strategies. These methods are often qualitative or semi-quantitative in nature due to the challenge of quantifying the likelihood of a risk and its effects. These approaches are nonetheless valuable for helping designers and project development teams remain mindful of negative risks which could pose significant hurdles. …


Bridge Project Prioritization, Bryan Gibson, Christopher Van Dyke, Sudhir Palle, Ryan Griffith, Doug Kreis Jun 2022

Bridge Project Prioritization, Bryan Gibson, Christopher Van Dyke, Sudhir Palle, Ryan Griffith, Doug Kreis

Kentucky Transportation Center Research Report

Kentucky’s 14,000+ bridges are key nodes within the state’s surface transportation network. They facilitate the movement of freight, commercial vehicles, and personal vehicles alike. Historically, the Kentucky Transportation Cabinet (KYTC) has prioritized bridge maintenance projects using sufficiency ratings. These ratings are based on three factors — structural adequacy and safety, design obsolescence, and an asset’s importance within the roadway network. Although useful, sufficiency ratings do not account for factors that should be considered during the prioritization process (e.g., condition factors, risk). To address the shortcomings associated with using sufficiency ratings, KYTC — with the assistance of the Kentucky Transportation Center …


Utilization Of Lidar Technology — When To Use It And Why, Levy Mcintosh, Brad Rister Jun 2022

Utilization Of Lidar Technology — When To Use It And Why, Levy Mcintosh, Brad Rister

Kentucky Transportation Center Research Report

Lidar technologies can assist transportation agencies during the design, construction, and maintenance phases of transportation projects. While Lidar has numerous applications, successfully deploying Lidar technologies is only possible if agencies have a solid understanding of their use cases and potential limitations. This report offers guidance the Kentucky Transportation Cabinet (KYTC) can use when making decisions on how to employ Lidar technologies in highway contexts. In addition to reviewing Lidar platforms and comparing Lidar-driven surveying to traditional surveying methods, the report examines challenges related to processing and storing Lidar data and the safety benefits Lidar technologies confer in the field. Brief …


Steel Bridge Coating Inventory For 2022, Christopher Goff, Sudhir Palle Jun 2022

Steel Bridge Coating Inventory For 2022, Christopher Goff, Sudhir Palle

Kentucky Transportation Center Research Report

The Kentucky Transportation Cabinet (KYTC) has replaced the lead-based coatings on many of its steel bridges over the past 30 years. In the 1980s and 1990s, inorganic zinc primers with vinyl topcoats were the go-to option for coating replacement projects. Since 2000, the typical choice for these projects has been organic zinc primers that are part of a two- or three-coat system. Some of these coatings have localized failures in high-stress areas. KYTC’s current inventory of steel bridges numbers over 1,100 structures. Accounting for expected service lives, to properly maintain protective coatings on these bridges will require the Cabinet to …


Updating The Bridge Construction Cost Database, Rachel Catchings, Ying Li, Ryan Griffith, Sudhir Palle Jun 2022

Updating The Bridge Construction Cost Database, Rachel Catchings, Ying Li, Ryan Griffith, Sudhir Palle

Kentucky Transportation Center Research Report

Adopting a comprehensive suite of methods to track, analyze, and maintain data on bridge construction costs can help state transportation agencies identify and implement strategies to mitigate the influence of factors which escalate project costs. This report discusses how the Kentucky Transportation Cabinet (KYTC) should approach updating, maintaining, and analyzing its bridge construction cost data. Based on a review of practices introduced at other agencies and interviews with public and private industry stakeholders, the report catalogues practical strategies for improving estimating procedures and tracking cost data as well as the most important cost drivers of bridge construction. Analysis of KYTC …


Improving Interprofessional Environmental Health Education Using The Leave No One Behind Framework, Daniel B. Oerther, Sarah E. Oerther Jun 2022

Improving Interprofessional Environmental Health Education Using The Leave No One Behind Framework, Daniel B. Oerther, Sarah E. Oerther

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

No abstract provided.


On Internal Resonance Analysis Of A Double-Cable-Stayed Shallow-Arch Model With Elastic Supports At Both Ends, Xiaoyang Su, Houjun Kang, Tieding Guo, Guirong Grace Yan Jun 2022

On Internal Resonance Analysis Of A Double-Cable-Stayed Shallow-Arch Model With Elastic Supports At Both Ends, Xiaoyang Su, Houjun Kang, Tieding Guo, Guirong Grace Yan

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

In previous research on the nonlinear dynamics of cable-stayed bridges, boundary conditions were not properly modeled in the modeling. In order to obtain the nonlinear dynamics of cable-stayed bridges more accurately, a double-cable-stayed shallow-arch model with elastic supports at both ends and the initial configuration of bridge deck included in the modeling is developed in this study. The in-plane eigenvalue problems of the model are solved by dividing the shallow arch (SA) into three partitions according to the number of cables and the piecewise functions are taken as trial functions of the SA. Then, the in-plane one-to-one-to-one internal resonance among …


Mechanisms Affecting Viscosity Of Cement Paste Made With Microfines Of Manufactured Sand, Jiang Zhu, Jiaping Liu, Kamal Khayat, Xin Shu, Qianping Ran, Zhen Li Jun 2022

Mechanisms Affecting Viscosity Of Cement Paste Made With Microfines Of Manufactured Sand, Jiang Zhu, Jiaping Liu, Kamal Khayat, Xin Shu, Qianping Ran, Zhen Li

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Viscosity of cement-based materials incorporating manufactured sand is affected by the content and physical properties of the microfines in the sand. However, some of the mechanisms affecting the viscosity remain unclear. This paper investigates the effect of microfine type and content on the apparent viscosity (ηapp) and residual viscosity in/near pseudo-Newtonian regime (ηrespse−New) of cement pastes. Limestone (LS), slate (ST), and tuff (TF) microfines with different specific surface areas were investigated. Test results showed that, by deducting the greater contribution of yield stress to ηapp when using finer microfines, the increase of ηrespse−New at a given PCE dosage was mainly …


Wavelet Power And Shannon Entropy Applied To Acoustic Emission Signals For Corrosion Detection And Evaluation Of Reinforced Concrete, Jinrui Zhang, Ziye Kang, Dongshuai Hou, Biqin Dong, Hongyan Ma Jun 2022

Wavelet Power And Shannon Entropy Applied To Acoustic Emission Signals For Corrosion Detection And Evaluation Of Reinforced Concrete, Jinrui Zhang, Ziye Kang, Dongshuai Hou, Biqin Dong, Hongyan Ma

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Acoustic emission (AE) signals detected from corrosion test on a steel reinforced concrete beam subjected to the coupling effects of corrosive wet-dry cycles and static load are analyzed by power spectral density, wavelet transform, and Shannon entropy. The degradation process of the corroded reinforced concrete beam can be divided into four stages on the basis of the accumulated event number (AEN). Due to the difference of material properties, steel reinforcement and concrete matrix have distinguished AE features. The time-frequency characteristics of AE signals can reflect the microstructural degradation mechanism of steel corrosion and concrete cracking. The corrosion evaluation entails investigating …


Feasibility Study On Novel Fire-Resistant Coating Materials, Anyou Zhu, Hanli Wu, Jenny Liu Jun 2022

Feasibility Study On Novel Fire-Resistant Coating Materials, Anyou Zhu, Hanli Wu, Jenny Liu

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Over the last few decades, wildfires in the United States have caused severe damage and property losses. As more houses are being built in areas prone to wildfire, enhancing the fire resistance of structures and buildings is critical and in great need. This paper presents a preliminary study to explore and develop some innovative surface-bonded fire-resistant coating materials for this purpose. The feasibility of these materials [i.e., high performance cement mortar (HPCM), geopolymer mortar (GPM), and magnesium phosphate cement mortar (MPCM)] was assessed considering the workability, adhesion to structure surface, and fire property. The Taguchi-based mix designs of HPCM, GPM, …


Designs Of Abrasion Resistant And Durable Concrete Pavements Made With Scms For Cold Climates, Diane Murph, Jun Liu, Jenny Liu Jun 2022

Designs Of Abrasion Resistant And Durable Concrete Pavements Made With Scms For Cold Climates, Diane Murph, Jun Liu, Jenny Liu

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Rutting from studded tire wear is a typical pavement distress in cold climates such as that of Alaska and other northern states. Current state-of-the-art advancements in material technology and concrete pavement design have allowed for implementation of improved materials and concrete pavement sections that are more resistant to rutting. The addition of supplementary cementitious materials (SCMs) has been identified as one effective way to produce concrete pavements with better abrasion resistance. The objective of this study was to identify and develop concrete pavement mix designs containing SCMs that can provide excellent abrasion resistance and durability to address rutting from studded …


Extended Weight Systems Pavement Analysis, Gayle Marks, Jon Wilcoxson, Bryan Gibson Jun 2022

Extended Weight Systems Pavement Analysis, Gayle Marks, Jon Wilcoxson, Bryan Gibson

Kentucky Transportation Center Research Report

Kentucky established its Extended Weight Coal or Coal By-products Haul Road System (EWCHRS) in 1986. This road network includes segments of the Coal Haul Highway System on which more than 50,000 tons coal or coal byproducts were transported by motor vehicles during the previous calendar year. In the past few years, the state has introduced extended weight (EW) systems focused on petroleum products and metal commodities. Trucks can operate above posted weight limits on these networks by paying annual fees that range from $160 to $2,000. While EW networks benefit motor carriers by improving efficiency, vehicles that exceed weight limits …


Optimizing Speed Profiles For Sustainable Train Operation With Wayside Energy Storage Systems, Leon A. Allen May 2022

Optimizing Speed Profiles For Sustainable Train Operation With Wayside Energy Storage Systems, Leon A. Allen

Dissertations

Large hauling capability and low rolling resistance has put rail transit at the forefront of mass transportation mode sustainability in terms of congestion mitigation and energy conservation. As such, rail vehicles are one of the least energy-intensive modes of transportation and least environmentally polluting. Despite, these positives, improper driving habits and wastage of the braking energy through dissipation in braking resistors result in unnecessary consumption, extra costs to the operator and increased atmospheric greenhouse gas emissions.

This study presents an intelligent method for the optimization of the number and locations of wayside energy storage system (WESS) units that maximize the …


Planning Methodology For Alternative Intersection Design And Selection, Liran Chen May 2022

Planning Methodology For Alternative Intersection Design And Selection, Liran Chen

Dissertations

The recent publication of the 6th Edition of the Highway Capacity Manual included a chapter on Ramp Terminals and Alternative Intersections that introduces various alternative intersection designs and assesses the performance of Median U-turn, Restricted crossing U-turn and Displaced left-turn intersections. Missing from the literature is an alternative intersection selection tool for identifying whether an alternative intersection would be successful under local conditions. With limited information of organized alternative intersection research, most planners must rely heavily on their personal judgement while selecting the most suitable intersection designs. As appealing as alternative intersections are, there is no comprehensive methodology for planners …


A Self-Learning Intersection Control System For Connected And Automated Vehicles, Ardeshir Mirbakhsh May 2022

A Self-Learning Intersection Control System For Connected And Automated Vehicles, Ardeshir Mirbakhsh

Dissertations

This study proposes a Decentralized Sparse Coordination Learning System (DSCLS) based on Deep Reinforcement Learning (DRL) to control intersections under the Connected and Automated Vehicles (CAVs) environment. In this approach, roadway sections are divided into small areas; vehicles try to reserve their desired area ahead of time, based on having a common desired area with other CAVs; the vehicles would be in an independent or coordinated state. Individual CAVs are set accountable for decision-making at each step in both coordinated and independent states. In the training process, CAVs learn to minimize the overall delay at the intersection. Due to the …


Understanding The Interfacial Processes Of Reactive Nanobubbles Toward Agricultural Applications, Xiaonan Shi May 2022

Understanding The Interfacial Processes Of Reactive Nanobubbles Toward Agricultural Applications, Xiaonan Shi

Dissertations

There is a growing interest in nanobubble (NB) technology because of its diverse applications (e.g., detergent-free cleaning, water aeration, ultra-sound imaging and intracellular drug delivery, and mineral processing). NBs have a higher efficiency of mass transfer compared to bulk scale bubbles due to the high specific surface areas. The high specific surface also facilitates physical adsorption and chemical reactions in the gas liquid interface. Furthermore, the collapse of NBs creates shock waves and the formation of hydroxyl radicals (OH).

However, it remains elusive why or how NBs are stabilized in water and particularly, the states of internal pressures of NBs …


Reactive Iron Mineral Coatings In Redox Transition Zones Of A Site With Historical Contamination: Abiotic Attenuation, Xin Yin May 2022

Reactive Iron Mineral Coatings In Redox Transition Zones Of A Site With Historical Contamination: Abiotic Attenuation, Xin Yin

Dissertations

Reactive iron mineral coatings are found throughout reduction-oxidation (redox) transition zones and play a significant role in contaminant transformation processes. In this study, an 18.3-meter core is collected, subsampled, and preserved under anoxic conditions to maintain its original redox state. Screening analyses are conducted at sampling increments of 5.08 cm in depth for the following: elemental concentrations with X-ray fluorescence (XRF), sediment pH, sediment oxidation-reduction potential (ORP), total volatile organic carbon (TVOC) in the sample headspace, and abundant bacteria (16S rRNA sequencing). Using the Fe and S gradients correlated with microbial data, five RTZs are delineated. To characterize iron mineral …


The Impact Of Material And Environmental Properties On The Ettringite - Metaettringite Thermochemical Reaction, Aaron Strand May 2022

The Impact Of Material And Environmental Properties On The Ettringite - Metaettringite Thermochemical Reaction, Aaron Strand

Dissertations

The use of energy is an essential need for people, with demand constantly increasing due to an increasing population and an increase in living and comfort standards. Since 1965, world energy consumption has quadrupled. During peak utilization, the strain on the grid infrastructure can be immense. As energy demand fluctuates during different times of the day and year, the energy production needs to scale accordingly This creates inefficiencies within the system such as over building generation capacity or losses from start up or ramping up production. This can be alleviated through load leveling where excess energy generated during low demand …


Optimization Of Polyhydroxyalkanoates (Phas) Bioplastic Production From Wastewater Activated Sludge, Bo Deng May 2022

Optimization Of Polyhydroxyalkanoates (Phas) Bioplastic Production From Wastewater Activated Sludge, Bo Deng

Dissertations

Polyhydroxyalkanoate (PHA) is a biopolymer which has similar properties as fossil-fuel based plastic but also has capacity to biodegrade completely in the environment condition. This project aims to optimize the process to produce bioplastic PHA using activated sludge from wastewater. Specifically, five major research objectives are explored: (i) develop a quantification method of PHA by using Fourier-transform infrared spectroscopy (FTIR)F; (ii) improve the PHA production from mixed microbial cultures (MMC) by optimizing MMC; (iii) simulate the PHA production by using wastewater; (iv) evaluate the application of enzyme (alpha-amylase) in PHA production process; (v) market the investigation of wastewater produced PHA. …


Integrating Deep Learning And Hydrodynamic Modeling To Improve The Great Lakes Forecast, Pengfei Xue, Aditya Wagh, Gangfeng Ma, Yilin Wang, Yongchao Yang, Tao Liu, Chenfu Huang May 2022

Integrating Deep Learning And Hydrodynamic Modeling To Improve The Great Lakes Forecast, Pengfei Xue, Aditya Wagh, Gangfeng Ma, Yilin Wang, Yongchao Yang, Tao Liu, Chenfu Huang

Michigan Tech Publications, Part 1

The Laurentian Great Lakes, one of the world’s largest surface freshwater systems, pose a modeling challenge in seasonal forecast and climate projection. While physics-based hydrodynamic modeling is a fundamental approach, improving the forecast accuracy remains critical. In recent years, machine learning (ML) has quickly emerged in geoscience applications, but its application to the Great Lakes hydrodynamic prediction is still in its early stages. This work is the first one to explore a deep learning approach to predicting spatiotemporal distributions of the lake surface temperature (LST) in the Great Lakes. Our study shows that the Long Short-Term Memory (LSTM) neural network, …


Partial Systems' Analysis Of Traffic Noise Reduction In Tarik Al Jadidah, Beirut, Ibtihal Y. El-Bastawissi, Nour El Baba, Shireen Khalil, Nour El Hage, Rouba Joumblat, Franz Gatzweiler May 2022

Partial Systems' Analysis Of Traffic Noise Reduction In Tarik Al Jadidah, Beirut, Ibtihal Y. El-Bastawissi, Nour El Baba, Shireen Khalil, Nour El Hage, Rouba Joumblat, Franz Gatzweiler

BAU Journal - Creative Sustainable Development

Traffic noise is considered one of the main pollutants in an urban space and has multiple side effects regarding the physical and mental health of the human being. Tarik Al Jadidah, one of the most densely populated neighborhoods in Beirut City- Lebanon, is selected as urban area for a project-based initiative and the focal point of different studies in BAU Urban Lab. The area suffers from various urban problems, but prominently traffic noise that highly damages the urban residents' quality of life due to its high levels of traffic noise that surpasses the World Health Organization (WHO) guidelines.

BAU Urban …


Northern Sea Route As An Emerging Option For Global Transport Networks: A Policy Perspective, Stavros Karamperidis, Nikolaos Valantasis Kanellos May 2022

Northern Sea Route As An Emerging Option For Global Transport Networks: A Policy Perspective, Stavros Karamperidis, Nikolaos Valantasis Kanellos

Articles

The Northern Sea Route (NSR) is an emerging alternative route to the Suez Canal; however, inconclusive research exists on its benefits and viability. This paper uses a two-stage Delphi approach to collect qualitative data from experts, on what actions Nordic countries[1] can undertake to prepare themselves to enter NSR and capture potential benefits deriving from trading in global transport networks. By conceptually developing a framework based on First Movers Advantage (FMA) and Dynamic Capabilities Theory (DCT), this paper empirically identifies a path to develop capabilities that could allow stakeholders to reduce logistics costs through collaborations in NSR. Our paper …


An Injury Severity Prediction-Driven Accident Prevention System, Gulsum Alicioglu, Bo Sun, Shen-Shyang Ho May 2022

An Injury Severity Prediction-Driven Accident Prevention System, Gulsum Alicioglu, Bo Sun, Shen-Shyang Ho

College of Science & Mathematics Departmental Research

Traffic accidents are inevitable events that occur unexpectedly and unintentionally. Therefore, analyzing traffic data is essential to prevent fatal accidents. Traffic data analysis provided insights into significant factors and driver behavioral patterns causing accidents. Combining these patterns and the prediction model into an accident prevention system can assist in reducing and preventing traffic accidents. This study applied various machine learning models, including neural network, ordinal regression, decision tree, support vector machines, and logistic regression to have a robust prediction model in injury severity. The trained model provides timely and accurate predictions on accident occurrence and injury severity using real-world traffic …


Enhancement Of Cement Paste With Carboxylated Carbon Nanotubes And Poly(Vinyl Alcohol), Yuyang Zhao, Jinrui Zhang, Gang Qiao, Dongshuai Hou, Biqin Dong, Hongyan Ma May 2022

Enhancement Of Cement Paste With Carboxylated Carbon Nanotubes And Poly(Vinyl Alcohol), Yuyang Zhao, Jinrui Zhang, Gang Qiao, Dongshuai Hou, Biqin Dong, Hongyan Ma

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Cement has been a major consumable material for construction in the world since its invention, but its low flexural strength is the main defect affecting the service life of structures. To adapt cement-based materials to a more stringent environment, carboxylated carbon nanotubes (CNTs-COOH) and poly(vinyl alcohol) (PVA) are proposed to enhance the mechanical properties of cement paste. This study systematically verifies the synergistic effect of CNTs-COOH/PVA on the performance of cement paste. First, UV-Vis spectroscopy and FTIR spectroscopy prove that CNTs-COOH can provide attachment sites for PVA and PVA can improve the dispersion and stability of CNTs-COOH in water, which …


Assessing The Effectiveness Of Problem-Based Learning Across Two Concrete Construction Courses, Anthony Torres, Jiong Hu, Vedaraman Sriraman, Araceli Martínez-Ortiz, Jorge Membrillo-Hernández May 2022

Assessing The Effectiveness Of Problem-Based Learning Across Two Concrete Construction Courses, Anthony Torres, Jiong Hu, Vedaraman Sriraman, Araceli Martínez-Ortiz, Jorge Membrillo-Hernández

Department of Civil and Environmental Engineering: Faculty Publications

The goal of this study is to assess the effectiveness of a Problem-Based Learning (PBL) pedagogy that was implemented in two different concrete construction courses. Both courses are a part of an industry focused four-year undergraduate concrete degree program. One of the classes focused on concrete problems, diagnosis, and repair of existing concrete, while the other class focused on handling and management methods of various concrete mixtures. In both courses, a PBL pedagogy was implemented such that students were self-learning and discovering the knowledge through an action-research case study. The action-research case study was specific to the course outcomes relevant …


Casm-Amfmnet: A Network Based On Coordinate Attention Shuffle Mechanism And Asymmetric Multi-Scale Fusion Module For Classification Of Grape Leaf Diseases, Jiayu Suo, Jialei Zhan, Guoxiong Zhou, Aibin Chen, Yaowen Hu, Weiqi Huang, Weiwei Cai, Yahui Hu, Liujun Li May 2022

Casm-Amfmnet: A Network Based On Coordinate Attention Shuffle Mechanism And Asymmetric Multi-Scale Fusion Module For Classification Of Grape Leaf Diseases, Jiayu Suo, Jialei Zhan, Guoxiong Zhou, Aibin Chen, Yaowen Hu, Weiqi Huang, Weiwei Cai, Yahui Hu, Liujun Li

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Grape disease is a significant contributory factor to the decline in grape yield, typically affecting the leaves first. Efficient identification of grape leaf diseases remains a critical unmet need. To mitigate background interference in grape leaf feature extraction and improve the ability to extract small disease spots, by combining the characteristic features of grape leaf diseases, we developed a novel method for disease recognition and classification in this study. First, Gaussian filters Sobel smooth de-noising Laplace operator (GSSL) was employed to reduce image noise and enhance the texture of grape leaves. A novel network designated coordinated attention shuffle mechanism-asymmetric multi-scale …