Engineering Commons^™

Backpropagation Neural Network With Combination Of Activation Functions For Inbound Traffic Prediction, Purnawansyah Purnawansyah, Haviluddin Haviluddin, Herdianti Darwis, Huzain Azis, Yulita Salim

Knowledge Engineering and Data Science

Predicting network traffic is crucial for preventing congestion and gaining superior quality of network services. This research aims to use backpropagation to predict the inbound level to understand and determine internet usage. The architecture consists of one input layer, two hidden layers, and one output layer. The study compares three activation functions: sigmoid, rectified linear unit (ReLU), and hyperbolic Tangent (tanh). Three learning rates: 0.1, 0.5, and 0.9 represent low, moderate, and high rates, respectively. Based on the result, in terms of a single form of activation function, although sigmoid provides the least RMSE and MSE values, the ReLu function …

Do Missing Link Community Smell Affect Developers Productivity: An Empirical Study, Toukir Ahammed, Sumon Ahmed, Mohammed Shafiul Alam Khan

Knowledge Engineering and Data Science

Missing link smell occurs when developers contribute to the same source code without communicating with each other. Existing studies have analyzed the relationship of missing link smells with code smell and developer contribution. However, the productivity of developers involved in missing link smell has not been explored yet. This study investigates how productivity differs between smelly and non-smelly developers. For this purpose, the productivity of smelly and non-smelly developers of seven open-source projects are analyzed. The result shows that the developers not involved in missing link smell have more productivity than the developers involved in smells. The observed difference is …

Indonesian Sentence Boundary Detection Using Deep Learning Approaches, Joan Santoso, Esther Irawati Setiawan, Christian Nathaniel Purwanto, Fachrul Kurniawan

Knowledge Engineering and Data Science

Detecting the sentence boundary is one of the crucial pre-processing steps in natural language processing. It can define the boundary of a sentence since the border between a sentence, and another sentence might be ambiguous. Because there are multiple separators and dynamic sentence patterns, using a full stop at the end of a sentence is sometimes inappropriate. This research uses a deep learning approach to split each sentence from an Indonesian news document. Hence, there is no need to define any handcrafted features or rules. In Part of Speech Tagging and Named Entity Recognition, we use sequence labeling to determine …

Face Images Classification Using Vgg-Cnn, I Nyoman Gede Arya Astawa, Made Leo Radhitya, I Wayan Raka Ardana, Felix Andika Dwiyanto

Knowledge Engineering and Data Science

Image classification is a fundamental problem in computer vision. In facial recognition, image classification can speed up the training process and also significantly improve accuracy. The use of deep learning methods in facial recognition has been commonly used. One of them is the Convolutional Neural Network (CNN) method which has high accuracy. Furthermore, this study aims to combine CNN for facial recognition and VGG for the classification process. The process begins by input the face image. Then, the preprocessor feature extractor method is used for transfer learning. This study uses a VGG-face model as an optimization model of transfer learning …

Detection Of Disease And Pest Of Kenaf Plant Based On Image Recognition With Vggnet19, Diny Melsye Nurul Fajri, Wayan Firdaus Mahmudy, Titiek Yulianti

Knowledge Engineering and Data Science

One of the advantages of Kenaf fiber as an environmental management product that is currently in the center of attention is the use of Kenaf fiber for luxury car interiors with environmentally friendly plastic materials. The opportunity to export Kenaf fiber raw material will provide significant benefits, especially in the agricultural sector in Indonesia. However, there are problems in several areas of Kenaf's garden, namely plants that are attacked by diseases and pests, which cause reduced yields and even death. This problem is caused by the lack of expertise and working hours of extension workers as well as farmers' knowledge …

Arhgdia Confers Selective Advantage To Dissociated Human Pluripotent Stem Cells, Marion J. Riggs, Steven D. Sheridan, Raj R. Rao

Biomedical Engineering Faculty Publications and Presentations

Human pluripotent stem cells (hPSCs) have generated significant interest in the scientific community based on their potential applications in regenerative medicine. However, numerous research groups have reported a propensity for genomic alterations during hPSC culture that poses concerns for basic research and clinical applications. Work from our laboratory and others has demonstrated that amplification of chromosomal regions is correlated with increased gene expression. To date, the phenotypic association of common genomic alterations remains unclear and is a cause for concern during clinical use. In this study, we focus on trisomy 17 and a list of candidate genes with increased gene …

Response-To-Failure Analysis Of Global Food System Initiatives: A Resilience Perspective, Prince Agyemang, Ebenezer Miezah Kwofie

Biological and Agricultural Engineering Faculty Publications and Presentations

International food system initiatives have led the efforts to combat the threats to global food security resulting from the failure of the current food systems. This study set out to investigate and assess the contributions of global food system initiatives in tackling the food system challenges. In assessing the food system initiatives, we develop a three-step methodology for Food System Initiative (FSI) selection and then conduct a qualitative evaluation using relevant indicators based on food system failure narratives. Furthermore, the authors synthesize present literature in the context of the extent to which coronavirus disease 2019 (COVID-19) pandemic has compounded food …

Optimization Of 3d Printed Mold Performance For Injection Molding Via Hollow Infill Patterns, Alan Fong

University Honors Theses

The applicability of hollow infill patterns has been explored for its applications in making 3D printed polymer-based injection molds in the additive manufacturing industry. Hollow infill patterns offer a significant reduction in material costs as well as the opportunity for reducing the cooling times via pumping a coolant fluid through the hollow cavity in a similar fashion to traditional conformal cooling channels. A 3D Jacks Support Hollow mold model was determined to be the best performing design. FEA analysis was conducted to determine the maximum reduction in internal volume (percentage of material saved) that could be achieved without exceeding the …

Comparing Instruments For Measuring Runoff From Experimental Ecoroof Platforms: A Case Study On Test Plots At Portland State University, Chance F. Hodges

University Honors Theses

Stormwater management is a primary ecological benefit ecoroofs provide to ecosystems. Quantification of runoff from large scale ecoroofs is difficult to replicate, so researchers often utilize smaller experimental ecoroof platforms. This approach is becoming increasingly common, so it is useful to compare and contrast approaches for runoff measurement at the platform scale. This paper uses the four 17.86 m² ecoroof platforms located on the Science Research and Teaching Center (SRTC) at Portland State University (PSU) in Portland, OR as a case study. A unique condition of these platforms is that they are installed at grade on the roof with …

Electricity Market Operations With Massive Renewable Integration: New Designs, Shengfei Yin

Electrical Engineering Theses and Dissertations

Electricity market has been transitioning from a conventional and deterministic operation to a stochastic operation under the increasing penetration of renewable energy. Industry-level solutions toward the future electricity market operation ask for both accuracy and efficiency while maintaining model interpretability. Hence, reliable stochastic optimization techniques come to the first place for such a complex and dynamic problem.

This work starts at proposing a solution strategy for the uncertainty-based power system planning problem, which acts as a preliminary and instructs the electricity market operation. Considering 100% renewable penetration in the future, it analyzes the cost-effectiveness of renewable energy from a long-term …

Investigation Of Polymer-Plasticizer Blends For Btex Detection Using Quartz Crystal Microbalance, Abhijeet Iyer

USF Tampa Graduate Theses and Dissertations

Volatile organic compounds (VOCs) are chemicals that evaporate easily and become gases at ambient temperature and pressure. The EPA has made the monitoring of VOCs mandatory due to their health impacts, which range from headaches and nausea to cancer. The current techniques used for VOC monitoring such as photoionization, gas chromatography, mass spectroscopy, and e-noses sensors are expensive, time-intensive, demand rigorous sample preparation, and cannot quantify the VOCs in the air. Chemical sensors based on piezoelectric transduction like the quartz crystal microbalance (QCM) show promising results in terms of providing cost-effective real-time data, robustness, and low power requirements. In this …

Creation Of A Customized College Student Cybersecurity Awareness Online Learning Solution, Stanley Mierzwa, Iassen Christov, Bruno Lima

Center for Cybersecurity

Many businesses, agencies, for-profit and non-profit organizations have implemented cybersecurity awareness training programs for their staff.

Pseudomyxoma Peritonei Derived Cancers: A Novel Study On Growth And Growth Suppression Utilizing Common Colorectal Cancer Agents, Raymond Kennith Bogdon

Theses and Dissertations

Pseudomyxoma peritonei is a devastating gastrointestinal disease characterized by the production of mucinous ascites within the peritoneal cavity. Historically, this condition is discovered in the advanced state due to the lack of adequate screening tests and typically presents as an enlarged abdomen and with symptoms of gastrointestinal distress. Treatment for this disease is a combination of cytoreductive surgery and heated intraperitoneal perfusion chemotherapy, but a successful operation does not guarantee full remission of this malignancy. This study focuses on 3 untested variants of PMP cancer, and 2 mucinous colorectal adenocarcinomas that had invaded into the peritoneal cavity. Clinical presentation of …

Follow-On Student Pilot Performance Differences Based On Private Pilot Training In A Residential Collegiate Program Or Non-Collegiate Program, Anton William Cihak Ii

Theses and Dissertations

The purpose of this study was two-fold: to examine the difference between students who had obtained a private pilot certificate from a residential collegiate flight program and students who had obtained a private pilot certificate from a non-collegiate flight program in a) pilot performance and b) time spent completing commercial and instrument flight courses. A supplemental analysis of the differences in the number of lessons required to complete commercial and instrument flight training was also conducted as a further comparison between pilot groups. This study utilized an ex post facto, effects-based methodology and design with data derived from a university …

Investigation Of Iron-Nickel Based Nanoparticles As Catalysts For Oxygen Evolution Reaction (Oer), Prashant Acharya

Graduate Theses and Dissertations

Hydrogen fuel is increasingly seen as an appealing alternative by both the scientific and the industrial communities in the drive towards a clean energy future. Hydrogen, unlike fossil-based fuels, does not release carbon dioxide, a chief component of greenhouse gases, upon combustion. However, more than 95% of the hydrogen in the world is still produced by burning fossil fuels as this method is currently the only economically feasible option at a large industrial scale.

Water electrolysis shows a lot of potential in both hydrogen generation and in the storage of energy from renewable sources such as wind and sunlight. Likewise, …

Enabling The “Easy Button” For Broad, Parallel Optimization Of Functions Evaluated By Simulation, Andrew Gibson

Graduate Theses and Dissertations

Java Optimization by Simulation (JOBS) is presented: an open-source, object-oriented Java library designed to enable the study, research, and use of optimization for models evaluated by simulation. JOBS includes several novel design features that make it easy for a simulation modeler, without extensive expertise in optimization or parallel computation, to define an optimization model with deterministic and/or stochastic constraints, choose one or more metaheuristics to solve it and run, using massively parallel function evaluation to reduce wall-clock times.

JOBS is supported by a new language independent, application programming interface (API) for remote simulation model evaluation and a serverless computing environment …

Resilience-Driven Post-Disruption Restoration Of Interdependent Critical Infrastructure Systems Under Uncertainty: Modeling, Risk-Averse Optimization, And Solution Approaches, Basem A. Alkhaleel

Graduate Theses and Dissertations

Critical infrastructure networks (CINs) are the backbone of modern societies, which depend on their continuous and proper functioning. Such infrastructure networks are subjected to different types of inevitable disruptive events which could affect their performance unpredictably and have direct socioeconomic consequences. Therefore, planning for disruptions to CINs has recently shifted from emphasizing pre-disruption phases of prevention and protection to post-disruption studies investigating the ability of critical infrastructures (CIs) to withstand disruptions and recover timely from them. However, post-disruption restoration planning often faces uncertainties associated with the required repair tasks and the accessibility of the underlying transportation network. Such challenges are …

Quantitative Set-Based Design For Complex System Development, Nicholas J. Shallcross

Graduate Theses and Dissertations

This dissertation comprises a body of research facilitating decision-making and complex system development with quantitative set-based design (SBD). SBD is concurrent product development methodology, which develops and analyzes many design alternatives for longer time periods enabling design maturation and uncertainty reduction. SBD improves design space exploration, facilitating the identification of resilient and affordable systems. The literature contains numerous qualitative descriptions and quantitative methodologies describing limited aspects of the SBD process. However, there exist no methodologies enabling the quantitative management of SBD programs throughout the entire product development cycle. This research addresses this knowledge gap by developing the process framework and …

College Of Engineering News, Georgia Southern University

College of Engineering & Computing: News & Publications (2010-2023)

• BS MechE Student Earns 2nd in National Advanced Energy Conference

Building Services Engineering July/August 2021

Building Services Engineering

No abstract provided.

Scheduling Allocation And Inventory Replenishment Problems Under Uncertainty: Applications In Managing Electric Vehicle And Drone Battery Swap Stations, Amin Asadi

Graduate Theses and Dissertations

In this dissertation, motivated by electric vehicle (EV) and drone application growth, we propose novel optimization problems and solution techniques for managing the operations at EV and drone battery swap stations. In Chapter 2, we introduce a novel class of stochastic scheduling allocation and inventory replenishment problems (SAIRP), which determines the recharging, discharging, and replacement decisions at a swap station over time to maximize the expected total profit. We use Markov Decision Process (MDP) to model SAIRPs facing uncertain demands, varying costs, and battery degradation. Considering battery degradation is crucial as it relaxes the assumption that charging/discharging batteries do not …

Gaze Estimation And Tracking For Assisted Living Environments, Paris Her

Master's Theses (2009 -)

Assisted living environments must be able to efficiently and unobtrusively gather information on a person's well-being. Human gaze direction provides some of the strongest indicators of how a person behaves and interacts with their environment. To that end, this thesis proposes a gaze tracking method that uses a neural network regressor to estimate gaze direction from facial keypoints and integrates them over time using various temporal methods, specifically through moving averages and a Kalman filter. Our gaze regression model uses confidence gated units to handle cases of keypoint occlusion and is able to estimate its own prediction uncertainty. This approach …

Development Of Experimental And Numerical Methods For Investigations Of High-Octane Fuels In Heavy-Duty Applications, Jared James Zeman

Master's Theses (2009 -)

Increasingly stringent emissions regulations has threatened the existence of the internal combustion (IC) engine. In some transportation sectors, non-IC engine powertrains have the potential to be a logical solution. However, in the heavy-duty sector, the IC engine is predicted to remain the dominant propulsion method for the foreseeable future. With ever-increasing demand for heavy-duty power generation platforms, the primary focus for the development of the future heavy-duty IC engine needs to be on increasing engine efficiency and the adoption of lowlife-cycle carbon, clean burning fuels, e.g. methanol. The fuel ignition properties of these fuels, e.g. high octane, cause difficulties when …

Improving Presentation Consistency Of Radiographic Images Using Deep Learning, Najib Akram Maheen Aboobacker

Master's Theses (2009 -)

In general radiography, inconsistency of brightness and contrast in initial presentation is a common complaint from radiologists. Inconsistencies, which may be a result of variations in patient positioning, dose, protocol selection andimplant could lead to additional workflow by technologists and radiologists to adjust the images. To tackle this challenge posed by conventional histogram-based display approach, first a Deep Learning based Brightness Contrast (DL BC) algorithm to improve the consistency in presentation by using a residual neural network trained to classify X-ray images based on a novel NxM grid of brightness and contrast combinations is proposed. More than 8,500 unique images …

Changes In Air-Quality In Milwaukee, Wi Due The Covid-19 Lockdown, Nathan Hay

Master's Theses (2009 -)

Shortly after COVID-19 started spreading across the country, Wisconsin instituted their shutdown on March 23rd, 2020. With large swaths of the population forced to stay at home, this presented a unique case study to evaluate the effects of reduced traffic volumes on vehicle related emissions. To do so, this study measured air quality on a 40-mile route within Milwaukee County on Wednesdays and Saturdays from 4 to 6 PM from the beginning of April until the end of August. Mobile sensors – a Sniffer 4D and micro aethalometer – were attached to a car and collected particulate matter (1.0-10 μm), …

Hemodynamic Evaluation Of Reconstructed Arch Geometries After Norwood Procedure Vs Non-Operated Controls, Aloma Blanch Granada

Master's Theses (2009 -)

Hypoplastic Left Heart Syndrome (HLHS) is a congenital cardiovascular defect where the left side of the heart and related structures cannot support systemic cardiac output. The Norwood procedure, performed in the first days of life, creates a neo-aorta along with arch reconstruction to provide unobstructed systemic output from the well-developed right ventricle. To evaluate the qualities of the patients reconstructed arch geometry, we aim to characterize hemodynamics within the reconstructed arch by including the head and neck arteries, pulmonary arteries, and Blalock-Taussig (BT) shunt. Prior studies have studied reconstructed arch geometry, but the current project adds more complexity to increase …

Impact Of Geomaterial Properties And Roller Parameters On Intelligent Compaction Measurement Values Using Lumped Parameter Modeling, Jesús Castro Pérez

Open Access Theses & Dissertations

Roads consist of layers of geomaterials and asphalt or concrete to provide an optimal service life according to their exposure to traffic and the environment. Each layer that forms a pavement structure requires achieving specific quality and mechanical properties that are often obtained only through a proper compaction process. Traditionally, compacted layers are tested using spot methods, which rely on the assumption that the properties measured from a small sample of material represent an entire section. This limitation has led to quality management techniques that continuously monitor the acceleration records from a sensor installed on the roller's drum. These techniques …

Design, Synthesis, And Optimization Of Additively Manufactured Functional Ceramics And Its Composites, Anabel Renteria Marquez

Open Access Theses & Dissertations

The goal of this research consist in the design, synThesis and optimization of functional piezoelectric ceramics and composites that can be fabricated by Direct Ink Write (DIW) 3D printing technique for the use of sensors and energy storage applications. The synThesis optimization of lead-free ceramics for printing was evaluated by analyzing the impact of raw particle size of BaTiO3. A novel approach to evaluate the effect of bimodal distribution raw particle size of BaTiO3 ceramics is presented and their influence on packing density, piezoelectric coefficient and dielectric relative permittivity. Additionally, multi-material DIW printing was adapted as a novel method to …

Performance Evaluation Of A Multi-Rotor Unmanned Agricultural Aircraft System For Chemical Application, Hang Zhu, Hongze Li, Anderson P. Adam, Liujun Li, Lei Tian

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Unmanned agricultural aircraft system (UAAS) has been widely employed as a low-cost and reliable method to apply agrochemicals to small agricultural fields in China. The performance of battery-powered multirotor UAAS has attracted considerable attention from manufacturers and researchers. The objective of this research was to design a UAAS equipping with a data acquisition system, to characterize its chemical application performance based on droplet deposition data and optimize the operating parameters. Each test was repeated three times to assess the reliability of the spraying system. Various flight parameters were also evaluated. The optimal spray pressure for the XR8001 and XR8002 (TeeJet, …

Numerical Investigation Of Thermo-Mechanical Field During Selective Laser Melting Process With Experimental Validation, Lan Li, Frank W. Liou

Mechanical and Aerospace Engineering Faculty Research & Creative Works

In this study, thermo-mechanical simulation was conducted to predict thermal and stress behavior in Selective Laser Melting (SLM). Temperature-dependent material properties for processed material 304L stainless steel were incorporated into the model in order to capture the change from powder to fully dense solid stainless steel. Temperature and thermal stress history were tracked under conditions of different parameter sets which were designed to reduce defect formation. The thermal model predicted the temperature history for multi-track scans under different process parameters, such as laser power, effective scanning speed and hatch spacing. Subsequently, the corresponding melt-pool size, solidification rate and temperature gradients …