Engineering Commons^™

Dynamics Of A 3-D Inlet/Isolator Measured With Fast Pressure-Sensitive Paint, Andrew N. Bustard, Mark E. Noftz, Mitsugu Hasegawa, Hirotaka Sakaue, Joseph S. Jewell, Nicholas J. Bisek, Thomas J. Juliano

Publications

Fast pressure-sensitive paint (PSP) was applied to an inlet/isolator designed using the Osculating Internal Waverider Inlet with Parallel Streamlines (OIWPS) method. The dorsal isolator surface pressure was measured using anodized-aluminum PSP through transparent cast acrylic that makes up the ventral portion of the isolator. Temperature-sensitive paint was utilized to correct for the PSP’s temperature sensitivity. The model was tested under Mach 5.7 flow at Re = 8.5 ×106 /m and 10.2 ×106 /m in the AFOSR–Notre Dame Large Mach-6 Quiet Tunnel (ANDLM6QT) under conventional noise conditions. Flow phenomena, such as shocks originating in the inlet and flow separation at the …

Matthew Gaber: Peekaboo, Matthew Gaber, Mohiuddin Ahmed, Helge Janicke

Research Datasets

Cyber-attacks continue to evolve, increasing in frequency and sophistication where Artificial Intelligence (AI) is becoming essential in detecting modern malware. However, the accuracy of AI in malware detection is dependent on the quality of the features it is trained with. Static and dynamic analysis of malware is limited by the widespread use of obfuscation and anti-analysis techniques employed by malware authors, where if an analysis environment is detected the malware will hide its malicious behavior. However, Dynamic Binary Instrumentation (DBI) allows deep and precise control of the malware sample, thereby facilitating the extraction of authentic features from sophisticated and evasive …

The Hydrodynamics Of Double-Layered Vegetation Partially Occupying Both Banks In An Open Channel Flow, Maheshwara Ihala Gallangage Gedara

Research Datasets

This data delves into the hydrodynamic intricacies within an open channel featuring continuous double-layered vegetation along both banks. Measurements are undertaken using nonintrusive laser diagnostics (LDV) to assess velocity, shear stress, and turbulence intensity. Two double-layered vegetation configurations, uniform growth (A1) and mixed growth (A2), were examined in conjunction with four aspect ratios (AR-6.67, 5.00, 4.00, and 2.63). The raw data were acquired using "BSA Flow Software v5.00", provided by DANTEC DYNAMICS, Denmark, and the extracted data used for the analysis was included in the Excel sheets for the purpose of sharing.

Enhancing Research Productivity: Seamless Integration Of Personal Devices And Hpc Resources With The Cybershuttle Notebook Gateway, Yasith Jayawardana, Dimuthu Wannipurage, Eroma Abeysinghe, Suresh Marru

Computer Science Faculty Publications

Scientists often utilize personal laptops and workstations for initial research stages and turn to high-performance computing (HPC) supercomputers for compute-intensive tasks. However, seamless transitions between these environments are vital for enhancing productivity and accelerating research progress. Our paper presents the Cybershuttle Notebook Gateway, an open-source framework crafted to streamline this transition, optimize resource utilization, and reduce time-to-science for researchers. Leveraging JupyterLab, the framework extends kernel mechanics for seamless provisioning and connection to remote HPC cluster kernels. We delve into its architecture, which separates user authentication, kernel provisioning, and remote file system access. Additionally, we highlight practical capabilities like analyzing network …

Enhanced Skin Cancer Diagnosis Through Grid Search Algorithm-Optimized Deep Learning Models For Skin Lesion Analysis, Rudresh Pillai, Neha Sharma, Sheifali Gupta, Deepali Gupta, Sapna Juneja, Saurav Malik, Hong Qin, Mohammed S. Alqahtani, Amel Ksibi

Computer Science Faculty Publications

Skin cancer is a widespread and perilous disease that necessitates prompt and precise detection for successful treatment. This research introduces a thorough method for identifying skin lesions by utilizing sophisticated deep learning (DL) techniques. The study utilizes three convolutional neural networks (CNNs)-CNN1, CNN2, and CNN3-each assigned to a distinct categorization job. Task 1 involves binary classification to determine whether skin lesions are present or absent. Task 2 involves distinguishing between benign and malignant lesions. Task 3 involves multiclass classification of skin lesion images to identify the precise type of skin lesion from a set of seven categories. The most optimal …

Flexible Fitting Of Alphafold2-Predicted Models To Cryo-Em Density Maps Using Elastic Network Models: A Methodological Affirmation, Maytha Alshammari, Jing He, Willy Wriggers

Computer Science Faculty Publications

Motivation: This study investigates the flexible refinement of AlphaFold2 models against corresponding cryo-electron microscopy (cryo-EM) maps using normal modes derived from elastic network models (ENMs) as basis functions for displacement. AlphaFold2 generally predicts highly accurate structures, but 18 of the 137 models of isolated chains exhibit a TM-score below 0.80. We achieved a significant improvement in four of these deviating structures and used them to systematically optimize the parameters of the ENM motion model.

Results: We successfully refined four AlphaFold2 models with notable discrepancies: lipid-preserved respiratory supercomplex (TM-score increased from 0.52 to 0.69), flagellar L-ring protein (TM-score increased from 0.53 …

A Survey On Few-Shot Class-Incremental Learning, Songsong Tian, Lusi Li, Weijun Li, Hang Ran, Xin Ning, Prayag Tiwari

Computer Science Faculty Publications

Large deep learning models are impressive, but they struggle when real-time data is not available. Few-shot class-incremental learning (FSCIL) poses a significant challenge for deep neural networks to learn new tasks from just a few labeled samples without forgetting the previously learned ones. This setup can easily leads to catastrophic forgetting and overfitting problems, severely affecting model performance. Studying FSCIL helps overcome deep learning model limitations on data volume and acquisition time, while improving practicality and adaptability of machine learning models. This paper provides a comprehensive survey on FSCIL. Unlike previous surveys, we aim to synthesize few-shot learning and incremental …

A Chinese Power Text Classification Algorithm Based On Deep Active Learning, Song Deng, Qianliang Li, Renjie Dai, Siming Wei, Di Wu, Yi He, Xindong Wu

Computer Science Faculty Publications

The construction of knowledge graph is beneficial for grid production, electrical safety protection, fault diagnosis and traceability in an observable and controllable way. Highly-precision text classification algorithm is crucial to build a professional knowledge graph in power system. Unfortunately, there are a large number of poorly described and specialized texts in the power business system, and the amount of data containing valid labels in these texts is low. This will bring great challenges to improve the precision of text classification models. To offset the gap, we propose a classification algorithm for Chinese text in the power system based on deep …

Autonomous Strike Uavs For Counterterrorism Missions: Challenges And Preliminary Solutions, Meshari Aljohani, Ravi Mukkamala, Stephan Olariu

Computer Science Faculty Publications

UAVs are becoming a crucial tool in modern warfare, primarily due to their cost-effectiveness, risk reduction, and ability to perform a wider range of activities. The use of autonomous UAVs to conduct strike missions against highly valuable targets is the focus of this research. Due to developments in ledger technology, smart contracts, and machine learning, such activities formerly carried out by professionals or remotely flown UAVs are now feasible. Our study provides the first in-depth analysis of challenges and potential solutions for successful implementation of an autonomous UAV mission.

Triphlapan: Predicting Hla Molecules Binding Peptides Based On Triple Coding Matrix And Transfer Learning, Meng Wang, Chuqi Lei, Jianxin Wang, Yaohang Li, Min Li

Computer Science Faculty Publications

Human leukocyte antigen (HLA) recognizes foreign threats and triggers immune responses by presenting peptides to T cells. Computationally modeling the binding patterns between peptide and HLA is very important for the development of tumor vaccines. However, it is still a big challenge to accurately predict HLA molecules binding peptides. In this paper, we develop a new model TripHLApan for predicting HLA molecules binding peptides by integrating triple coding matrix, BiGRU + Attention models, and transfer learning strategy. We have found the main interaction site regions between HLA molecules and peptides, as well as the correlation between HLA encoding and binding …

Autonomous Strike Uavs In Support Of Homeland Security Missions: Challenges And Preliminary Solutions, Meshari Aljohani, Ravi Mukkamala, Stephan Olariu

Computer Science Faculty Publications

Unmanned Aerial Vehicles (UAVs) are becoming crucial tools in modern homeland security applications, primarily because of their cost-effectiveness, risk reduction, and ability to perform a wider range of activities. This study focuses on the use of autonomous UAVs to conduct, as part of homeland security applications, strike missions against high-value terrorist targets. Owing to developments in ledger technology, smart contracts, and machine learning, activities formerly carried out by professionals or remotely flown UAVs are now feasible. Our study provides the first in-depth analysis of the challenges and preliminary solutions for the successful implementation of an autonomous UAV mission. Specifically, we …

Mosaic: A Prune-And-Assemble Approach For Efficient Model Pruning In Privacy-Preserving Deep Learning, Yifei Cai, Qiao Zhang, Rui Ning, Chunsheng Xin, Hongyi Wu

Computer Science Faculty Publications

To enable common users to capitalize on the power of deep learning, Machine Learning as a Service (MLaaS) has been proposed in the literature, which opens powerful deep learning models of service providers to the public. To protect the data privacy of end users, as well as the model privacy of the server, several state-of-the-art privacy-preserving MLaaS frameworks have also been proposed. Nevertheless, despite the exquisite design of these frameworks to enhance computation efficiency, the computational cost remains expensive for practical applications. To improve the computation efficiency of deep learning (DL) models, model pruning has been adopted as a strategic …

Speculative Anisotropic Mesh Adaptation On Shared Memory For Cfd Applications, Christos Tsolakis, Nikos Chrisochoides

Computer Science Faculty Publications

Efficient and robust anisotropic mesh adaptation is crucial for Computational Fluid Dynamics (CFD) simulations. The CFD Vision 2030 Study highlights the pressing need for this technology, particularly for simulations targeting supercomputers. This work applies a fine-grained speculative approach to anisotropic mesh operations. Our implementation exhibits more than 90% parallel efficiency on a multi-core node. Additionally, we evaluate our method within an adaptive pipeline for a spectrum of publicly available test-cases that includes both analytically derived and error-based fields. For all test-cases, our results are in accordance with published results in the literature. Support for CAD-based data is introduced, and its …

Metal Contamination In Household Dust And Their Health Risk Assessment: A Study In Two Malaysian Cities, Xin Yi Lim, Ting Fang Lye, Joo Hui Tay

Applied Environmental Research

Investigating the composition of household dust can provide crucial insights into potential environmental and health implications. This study aimed to determine the concentration of selected metals in 30 household floor dust samples collected from two cities in Peninsular Malaysia, namely Melaka and Butterworth. The samples were collected using nylon socks attached to a vacuum cleaner nozzle during January-February 2021. All samples were sieved through a 200-µm sieve, acid-digested with aqua regia, and analyzed using inductively coupled plasma mass spectrometry (ICP-MS). Mean metal concentrations decreased in the order of Fe>Al>Mg>Zn>Mn>Ba>Cu>Cr>Pb. Cd was not …

Exposure To Metal Accumulation In Chicken Giblets And Human Health Risk In Lokoja, Nigeria, Jude Ehwevwerhere Emurotu, Lami Habib, Ephraim Musa Dallatu, Adamu Shuaibu Onakpa, Aloysius Akaangee Pam

Applied Environmental Research

When consumed, the toxic heavy metals in chicken giblets pose a grave risk to humans. An inductively coupled plasma optical emission spectrometer (ICP-OES) was used to measure the concentrations of metals (Al, Cd, Co, Cr, Ni, Mn, and Pb) in the liver, gizzard, and kidney of chickens from the Lokoja poultry market. Except for lead, which slightly exceeded the FAO/WHO limit of 0.1 mg kg-1, the metal concentrations found were all within the threshold limit. The estimated daily intake (EDI), hazard quotient (HQ), hazard index (HI), and cancer risk (CR) were used to assess the risks that humans would face …

Unveiling Long-Term Impacts Of Forest Cover Changes And Carbon Storage Assessment In Nan Province, Thailand, Jiratiwan Kruasilp, Sura Pattanakiat, Siam Lawawirojwong, Thamarat Phutthai, Poonperm Vardhanabindu, Warinthorn Kiadtikornthaweeyot Evans, Anne Jacquine

Applied Environmental Research

Forests serve as carbon sink by storing and sequestrating carbon dioxide from the atmosphere. Forest cover loss adversely affects communities by increasing risks to the shortage of carbon storage. This study provides a comprehensive understanding of forest fragmentation and assessment of forest cover changes impacts on carbon storage over Nan province during 1990 to 2019. Spatial and temporal patterns were explored using landscape metrics analysis. Forest areas declined 10.69% over 30 years using random forest classifier based on Google Earth Engine platform, with an overall accuracy of 97.10%. The highest rate of forest cover changes was 5.27% (2010 to 2014), …

Geospatial Modelling Of Flood Susceptibility Of The Calabar City, Cross River State, Nigeria, Joel Efiong, Eme Efiong, Oluyemi Akintoye, Ebin Inah, Obianuju Awan, Francis Ogban

Applied Environmental Research

Flooding remains a major environmental problem in many parts of the world including Nigeria, causing untold losses. This study modelled the flood susceptibility of Calabar Metropolis using frequency ratio and geographical information system (GIS). Direct field observation and key informant approaches were used to obtain 127 previous and current flood locations in the study area from which a database of historical flood occurrence was developed. Using the geostatistical analyst tool within a geographical information environment the flood locations were split into two parts in the ratio of 70:30 percent for the training and testing processes, respectively. Eight flood conditioning factors …

Minimization The Chemical Oxygen Demand (Cod) Content In Tannery Wastewater Using Activated Carbon From Spent Tea Leaves, Kanish Fatama, Nasifa Akter, Badhan Saha, Nur -E- Alam Md., Shimul Chakma

Applied Environmental Research

Water pollution from tannery wastewater is a serious environmental issue. This study aimed to investigate the potential of spent tea leaves as activated carbon (AC) to minimize chemical oxygen demand (COD) of tannery effluent. To determine the best conditions for minimizing COD, a batch adsorption process was conducted, involving various factors such as different adsorbent dosages (ranging from 1 to 11 gm L-1), contact time (30 to150 min), and pH values (ranging from 3 to 11). The characterization was done by Fourier transform infrared spectroscopy (FTIR), scanning electron microscope (SEM). The outcomes of this study demonstrated that using 1.5 M …

Adsorption Behavior And Mechanism Of Brilliant Green Dye Onto Acid-Modified Mesoporous Volcanic Pumice, Suchada Sawasdee, Prachart Watcharabundit

Applied Environmental Research

Water pollution is a major problem in the environment. The important one is the dying effluent from the textile industry. Dye effluent has affected human health and aquatic life. Recently, natural adsorbents have been most commonly used for dye treatment wastewater. This study explores the adsorption mechanism of brilliant green onto HCl-modified pumice. It involves a comparative analysis of the raw and HCl-modified pumice's characterization and adsorption properties. The adsorption experiments were carried out by considering several parameters, such as pH, contact time, initial dye concentrations, and temperatures. The research indicated that the raw and acid-treated pumice possess Si-OH and …

Outlooks And Challenges For Urban Green Space Development: A Review Case Study In Thailand, Kanawat Paoin, Chanathip Pharino

Applied Environmental Research

Even though prior studies have provided ample proof of the benefits of urban green space, Thailand's development and exploitation of urban green space remain insufficiently efficient. To assess the prospects for urban green space development in Thailand, our review study highlighted gaps and challenges related to these areas. This review study discussed the rationale for urban green space, its definitions, as well as its benefits and co-benefits (i.e., economic, social, health, and environmental). The review research additionally discussed Thailand's current urban green space issues, associated challenges (such as difficulties valuing and using urban green space, budgetary limitations, low priority for …

Path Analysis Of The Relationship Between Diarrhea, Climate And Environmental Variables In Province Of West Nusa Tenggara-Indonesia, Khadijah Azhar, Ika Dharmayanti, Dwi Hapsari Tjandrarini, Bambang Wispriyono

Applied Environmental Research

Diarrhea is a major cause of morbidity and mortality, particularly in West Nusa Tenggara Province, Indonesia, due to certain factors. Therefore, this study aims to examine the influence of climate, economic status, demographic, water, sanitation, and hygiene factors on diarrhea. The study procedures were carried out using an ecological design that focused on the characteristics of the sample population. The unit of analysis was districts/cities, where data on diarrhea cases from 2017–2020 were used, along with other variables in the same period. The dependent variable was the number of diarrhea cases per month, while the independent variables included average temperature, …

Enzyme Activity And Biodegradation Potentials Of Serratia Marcescens Cell-Free Extract On Polyethylene Terephthalate Sheet, Ogunjemite Oluwadamilola E, Folasade M. Olajuyigbe

Applied Environmental Research

Microbial strains with potential hydrolytic enzymes are excellent hosts for the biodegradation of polyethylene terephthalate (PET). However, knowledge of the best working conditions for enzymatic actions is essential to suggest the most suitable condition for the bio-transformation process. In this research, PETase and lipase produced by Serratia marcescens under PET exposure were screened and their physicochemical properties were evaluated. Furthermore, the biodegradation efficiency of the cell-free extract produced from S. marcescens on a PET sheet was studied via scanning electron microscope (SEM) and Fourier transform infrared spectrophotometer (FTIR). The result showed maximum production of PETase activity (8.80 U mL-1) and …

Effective Microorganisms (Em) As Bioremediation Agent Of Profenofos Pesticide Residue In Vegetable Farm Soil From Benguet Province, Philippines, Maylowen P. Lumayna, Paulina A. Bawingan

Applied Environmental Research

Effective microorganisms (EM) have shown remarkable adaptability and have been used in agriculture and environmental management. This study intended to provide insights into the effectiveness of EM technology in rehabilitating soils contaminated with pesticides. Specifically, the study aimed to determine the efficiency of EM in breaking down the profenofos component of Selecron® 500 EC pesticide in a controlled condition. Results show that the initial profenofos (17.2 mg kg-1) degraded in the control and experimental groups by 94.19% and 96.45%, respectively, over a 21-day laboratory experiment. EM-treated soil samples showed a significant difference from untreated samples, as revealed in the Kruskal-Wallis …

Microplastic Contamination In Table Salt: A Study Of Consumer Behavior In Cox's Bazar, Bangladesh, Sk Abid Md Saad, Faijunnesa Rashid, Maisha Miskat, Mukul Chandra Sarker, Arman Khan, Mustafizur Rahman

Applied Environmental Research

Plastic particles resulting from the breakdown of bigger plastics may be introduced directly as micro- and nano-sized particles polluting the marine ecosystem, including ocean-extracted table salt. This study investigated the presence of microplastic (MP)-like particles in table salt from Bangladesh, focusing on both locally refined and commercially branded varieties. Local salt samples from Sadar and Moheshkhali Sub-district of Cox’s Bazar contained an average of 23.4 and 12 particles kg-1, respectively. In contrast, no particles were detected in commercial brands, likely due to their complex refining processes. The study also explored factors influencing local salt consumption, finding it influenced by the …

Global Perspectives On Healthcare Waste Management And Bibliographic Mapping During The Crises Of Covid-19, Vasudeo Zambare, Bhushan Bhusare, Lew Christopher, Mohanadoss Ponraj, Nabin Narayan Munankarmi, Mohd Fadhil Md. Din

Applied Environmental Research

The lack of proper waste management of health care facilities can have a significant negative health impact on the global population. This study provides a critical view on the current state of the existing healthcare waste management practices used in healthcare facilities around the world during the Coronavirus disease 2019 (COVID-19) pandemic outbreak. The increasing amount of COVID-related healthcare waste was analyzed and classified to provide justification for the urgent need to develop waste management standards that ensure safe containment and diversion of hazardous and non-hazardous wastes through recycling, reuse and repurposing. The waste handling, treatment, and disposal management of …

Assessment Of Total Petroleum Carbon And Heavy Metals Of Some Selected Plants Grown In Crude Oil Polluted Soils Using Gc-Fid, Pius O. Adah, Ndem E. Edu, Reagan B. Agbor, Henry B. Kogbara

Applied Environmental Research

This study was focused on assessing the phytoremediation potentials of some selected plant species on crude oil contaminated soils. Five plant species were cultivated in soils polluted with crude oil at 10, 50, 100, 150 and 200 mg kg-1. The results revealed that there were significant reduction in THC contents of soil ameliorated with the various plants species compared to the control group increases with increasing concentration of crude oil pollutant in soil. THC was 62.24 mg kg-1, 1,120 mg kg-1, 208.67 mg kg-1, 257.87 mg kg-1 and 2,762.79 mg kg-1 for R. simplex, P. balfouriana, K. pinnata …

Study Of Solar Collector Potential In Thailand Using Computational Fluid Dynamics Approach, Phongpapop Kitisomkiat, Varudom Siri, Benjapon Chalermsinsuwan, Kejvalee Pruksathorn

Applied Environmental Research

Due to the proximity of Thailand being near the equator, there is a significant potential for harnessing an excess amount of solar energy using a solar collector. The solar collector harvests solar energy by acting as a passive heat exchanger, receiving solar energy, and transferring it to a fluid medium to be further utilized. This study presents the analysis of temperature outlet and pressure drop of a solar collector in Thailand, utilizing Earth’s geological location, date, and time for solar energy calculations and employing computational fluid dynamics (CFD) to predict the collector’s efficiency. The CFD approach offers a reduction in …

Food Waste From Catering Services In Thai Hotels: A Composition Analysis And Practical Guidelines For Effective Utilization, Patranit Srijuntrapun, Patinya Sukwong

Applied Environmental Research

Food waste from the hotel sector is a significant contributor to the overall volume of food waste, particularly in restaurants and food services through various processes. However, precise data on food waste generated by the hotel industry is lacking. This study aims to quantify and characterize the food waste generated during the preparation and serving processes in hotel catering, with the goal of finding efficient solutions to reduce food waste that are appropriate for the hotel and catering sectors. The study presents novel findings that among the different types of catering, dinner-style buffets (DB) generate the highest amount of food …

Determinants Of Physicochemical Composition Of Palm Oil Mill Effluent - Implications On Environment And Bio-Digester Treatment Design, E.B. Tambe, A.U. Okonkwo, I.E. Mbuka-Nwosu, C.O. Cookey, E. Agbe, S.C. Onwusa, I.N. Ekpe, U.F. Evuen, J. Okpoghono

Applied Environmental Research

Growing need for renewable energy and addressing challenges associated with indiscriminate wastes disposal has necessitated harnessing wastes to wealth. The study investigated parameters determining the physicochemical composition of palm oil mill effluent (POME) generated at Agricultural Development Authority Palm (ADAPALM) and palm oil mills in its catchment communities, located at Ohaji/ Egbema Local Government Area of Imo State, Nigeria and their implications on environmental health and treatment approaches required. Survey research design was used. From a randomly sampled small-scaled mill in each community, and for the lone medium and large-scaled mills, four homogenous samples of POME were collected from sampled …

Typhoon Damage Assessment Of Natural And Planted Mangroves In Bais Bay, Negros Oriental, Philippines, Myron Gavriel F. Baring, Pablina L. Cadiz

Applied Environmental Research

Category 5 Typhoon Odette, internationally known as Rai, devastated the Central Philippines in December 2021, causing immense damage to the country’s infrastructure, agriculture, and ecosystems. Coastal vegetative ecosystems, which include mangroves, are exposed to strong wind and wave energy during extreme weather events. Considering their importance in providing a myriad of ecosystem services to coastal communities, the post-typhoon assessment of mangroves will serve as a guide to future rehabilitation efforts.  On August 13 and 14, 2024, 8 months after Typhoon Odette, the community structure characteristics (species composition, stem density, basal area, and regeneration potential) and damage severity of planted and …