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Articles 1621 - 1650 of 64896
Full-Text Articles in Entire DC Network
Mapping Urban Vegetation Changes Using Planetscope Imagery And Gis: A Case Study Of The 2024 Dubai Flood, Sumayya Almansoori, Xin Hong
Mapping Urban Vegetation Changes Using Planetscope Imagery And Gis: A Case Study Of The 2024 Dubai Flood, Sumayya Almansoori, Xin Hong
All Works
In April 2024, unexpected heavy rainfall triggered one of the most severe flooding events in Dubai’s recent history, causing widespread concern for urban infrastructure and green spaces. This study evaluates the flood’s impact on urban vegetation in South Dubai using high-resolution PlanetScope satellite imagery and the Normalized Difference Vegetation Index (NDVI). Vegetation conditions before and after the flood (April 14 and April 18–19, 2024) were quantified and compared using NDVI analysis within QGIS to assess changes in vegetation health and coverage. Results indicate significant declines in vegetation health in areas dominated by intensive turf management, such as Damac Hills and …
Advances In Research On Co2 Corrosion Mechanisms, Modification, And Application Of Cements For Injection Wells In Geologic Co2 Sequestration, Hao Feng, Zhang Zongfeng, Wang Hongmin, Du Shuai, Huang Da, Yang Xuefeng, Wang Kexin, Zhang Yu
Advances In Research On Co2 Corrosion Mechanisms, Modification, And Application Of Cements For Injection Wells In Geologic Co2 Sequestration, Hao Feng, Zhang Zongfeng, Wang Hongmin, Du Shuai, Huang Da, Yang Xuefeng, Wang Kexin, Zhang Yu
Coal Geology & Exploration
Background and Merhod The wellbore integrity of CO2 injection wells plays a critical role in maintaining the long-term safe operation of geologic CO2 sequestration (GCS) projects. Well cement serves as the foremost wellbore integrity barrier, and its durability under GCS has emerged as a hot research topic both at home and abroad. This study systematically reviews the advances in research on the chemical corrosion mechanism of well cement under the operating conditions of GCS, technologies for cement modification for enhanced resistance to CO2 corrosion, and non-Portland cement systems. Furthermore, the directions for the future development of well …
Numerical Simulation Of Co2 Sequestration Combined With Enhanced Geothermal Energy Extraction In Deep Saline Aquifers, Xie Zehao, Zhang Liehui, Zhao Yulong, Cao Cheng, Kou Zuhao, Zhang Deping, Li Jinlong
Numerical Simulation Of Co2 Sequestration Combined With Enhanced Geothermal Energy Extraction In Deep Saline Aquifers, Xie Zehao, Zhang Liehui, Zhao Yulong, Cao Cheng, Kou Zuhao, Zhang Deping, Li Jinlong
Coal Geology & Exploration
Objectives and Methods Deep saline aquifers represent ideal spaces for geologic CO2 sequestration while also featuring high geothermal gradients and abundant geothermal resources. The combination of CO2 sequestration and geothermal energy extraction holds great significance for enhancing the CO2 sequestration effect and achieving integrated resource development of deep saline aquifers. Therefore, this study proposed a development approach that combined CO2 sequestration with geothermal energy extraction in deep saline aquifers and established a thermo-hydro-chemical coupling numerical simulation model of the gas-water two-phase flow. Accordingly, it explored the optimal injection mode, production and injection well patterns, and injection …
Research Progress And Prospects Of Full Flowsheet Coal-Based Ccus, Sang Shuxun, Liu Shiqi, Zheng Sijian, Huang Fansheng, Liu Tong, Chen Siming, Zhou Xiaozhi, Han Sijie, Tian Yuchen, Xiang Wenxin, Bai Yansong
Research Progress And Prospects Of Full Flowsheet Coal-Based Ccus, Sang Shuxun, Liu Shiqi, Zheng Sijian, Huang Fansheng, Liu Tong, Chen Siming, Zhou Xiaozhi, Han Sijie, Tian Yuchen, Xiang Wenxin, Bai Yansong
Coal Geology & Exploration
Background The engineering-oriented, full flowsheet coal-based carbon capture, utilization, and storage (CCUS) technology is the key to efficient, clean coal utilization and carbon emission reduction. It represents a major technology that is urgently needed to ensure the energy security of China and achieve the strategic goals of peak carbon dioxide emissions and carbon neutrality of the country. Based on previous research efforts of the authors’ team, this study reviews the current status of this technology, reveals its integration mechanisms, and attempts to establish a pattern and scheme for CCUS cluster deployment in coal energy bases. Furthermore, it discusses the future …
Lead Levels In Fingernails Of Hemodialysis Patients And Healthy Individuals In Karbala, Iraq: A Biomonitoring Study Using Icp Oes, Baker A. Joda, Rusul Jaafar, Rana Hameed, Hiba Sadeq Alheloo, Sadeq Jaafar Hasan Dwenee
Lead Levels In Fingernails Of Hemodialysis Patients And Healthy Individuals In Karbala, Iraq: A Biomonitoring Study Using Icp Oes, Baker A. Joda, Rusul Jaafar, Rana Hameed, Hiba Sadeq Alheloo, Sadeq Jaafar Hasan Dwenee
Karbala International Journal of Modern Science
The use of non-invasive media to evaluate the association between trace elements and diseases has spread in recent centuries. Fingernail samples were collected from 103 individuals, including both healthy participants and those undergoing hemodialysis, residing in Karbala, Iraq, and ranging in age from 21 to 75 years. The concentrations of lead were determined using an Inductively Coupled Plasma Optical Emission Spectrometry (ICP OES). Statistical analyses using F-tests and two-tailed t-tests were conducted to examine the effects of health status, gender, smoking status, and their interactions on lead levels in washed fingernails. The concentrations of Pb in washed fingernails of healthy …
Statistical Analysis Of Log Transformation Effectiveness In Air Traffic Movement Forecasting During Covid-19 In South Africa, John Lehlaka Masekoameng
Statistical Analysis Of Log Transformation Effectiveness In Air Traffic Movement Forecasting During Covid-19 In South Africa, John Lehlaka Masekoameng
Journal of Aviation Technology and Engineering
This study evaluates the effectiveness of log transformation in enhancing multiple regression models used to forecast air traffic movements (ATMs) in South Africa during the COVID-19 pandemic. Using 60 monthly observations from October 2016 to September 2021, the analysis incorporates variables such as revenue, lockdown levels, COVID-19 metrics, exchange rates, gross domestic product, and population. Two models are compared: one using raw ATMs and another with log-transformed ATMs as the dependent variable.
While the untransformed model shows stronger explanatory power (R² = 0.904, adjusted R² = 0.891) compared to the log-transformed model (R² = 0.772, adjusted R² = 0.741), the …
Case Studies To Examine Farmer Perceptions And Implementations Of Buffer Capacity In Southeastern Ontario, Bryan Collins
Case Studies To Examine Farmer Perceptions And Implementations Of Buffer Capacity In Southeastern Ontario, Bryan Collins
Journal of Applied Farm Economics
Buffer capacity measures the ability of a system to maintain its original function when confronted with outside stresses and is often considered to be a key component of resilience. Farmers in southeastern Ontario are facing several threats such as seasonal drought and volatile markets, prompting necessary responses on how to effectively manage their farms. This research study used an exploratory grounded theory approach to inquire how farmers seek to enhance buffer capacity on their farm by asking (1) what short-term threats their farm faces and (2) what strategies they are employing to navigate those threats. Ten farms in the Inverary …
The Gut Microbiota Shapes The Human And Murine Breath Volatilome, Ariel J. Hernandez-Leyva, Amalia Z. Berna, Maggie H. Bui, Yang Liu, Anne L. Rosen, Michael A. Lint, Samantha A. Whiteside, Natalia Jaeger, Nikhilesh Joardar, Wentai Luo, Multiple Additional Authors
The Gut Microbiota Shapes The Human And Murine Breath Volatilome, Ariel J. Hernandez-Leyva, Amalia Z. Berna, Maggie H. Bui, Yang Liu, Anne L. Rosen, Michael A. Lint, Samantha A. Whiteside, Natalia Jaeger, Nikhilesh Joardar, Wentai Luo, Multiple Additional Authors
Chemistry Faculty Publications and Presentations
The gut microbiota is crucial to health, yet implementation of microbiota-based therapeutics is limited by the lack of rapid diagnostics. We hypothesize that breath contains gut microbe-derived volatile organic compounds (VOCs) reflecting microbiota composition and metabolism. In healthy children, we found that breath VOC composition (or volatilome), assessed by gas chromatography-mass spectrometry, correlates with gut microbiome composition and function. By capturing exhaled breath from human-stool-colonized and monocolonized gnotobiotic mice, we profiled breath VOCs and discovered that murine breath is also significantly influenced by the gut microbiome. VOCs from cultured gut microbes were identified in vivo in monocolonized gnotobiotic colonized mice. …
Final Butte Priority Soils Operable Unit (Bpsou) Unreclaimed Sites: Ur-08 (Anderson Shaft) Remedial Action Work Plan (Rawp), Pioneer Technical Services, Inc.
Final Butte Priority Soils Operable Unit (Bpsou) Unreclaimed Sites: Ur-08 (Anderson Shaft) Remedial Action Work Plan (Rawp), Pioneer Technical Services, Inc.
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Long-Term Changes In Relative Humidity And Soil Wetness: Implications On Agriculture And Environmental Sustainability In Western Himalaya, Ashwani Ashwani, Pankaj Kumar
Long-Term Changes In Relative Humidity And Soil Wetness: Implications On Agriculture And Environmental Sustainability In Western Himalaya, Ashwani Ashwani, Pankaj Kumar
Journal of Environmental Science and Sustainable Development
Long-term climate changes in humidity and soil wetness in the cold deserts of the Western Himalaya are still not well researched. Understanding the long-term trends of relative humidity (RH) and soil moisture is crucial in high-altitude, cold desert regions for effective agricultural management and environmental sustainability. The study was conducted in a part of the western Himalaya, which is an ecologically fragile zone with a highly sensitive agricultural region that is vulnerable to climatic variations. A comprehensive study was conducted to evaluate the spatiotemporal variability of RH and soil wetness by means four techniques: Mann-Kendall, Modified Mann-Kendall, Sen’s slope estimator, …
Synthesis And Characterization Of Tio₂@Zn₂Sno₄ Composite As A Novel Uv Filter With Reduced Photocatalytic Activity And Low Toxicity For Sunscreen Applications, Rusul Kadhim Naser, Kadhim Al-Attafi, Muntadher Abdulsalam A.Al.Alrabeeah
Synthesis And Characterization Of Tio₂@Zn₂Sno₄ Composite As A Novel Uv Filter With Reduced Photocatalytic Activity And Low Toxicity For Sunscreen Applications, Rusul Kadhim Naser, Kadhim Al-Attafi, Muntadher Abdulsalam A.Al.Alrabeeah
Karbala International Journal of Modern Science
This study builds upon our recent investigation, which utilized various morphologies and particle sizes of Zn₂SnO₄ and TiO₂. Zn₂SnO₄ can block UVB and part of UVA and shows much less photocatalytic activity than TiO₂. Herein, the current study aims to reduce the photocatalytic activity of TiO₂, a compound often utilized as an ultraviolet (UV) filter in sunscreen, by incorporating Zn₂SnO₄ as a composite. Since Zn₂SnO₄ produces much fewer free radicals, in terms of the reactive oxygen species (ROS), due to its low photocatalytic activity. To overcome or minimize the high photocatalytic activity of TiO₂, composite materials TiO₂@Zn₂SnO₄ …
Developing A Multimodal Approach To Channel Characterization On Youtube, Shadi Shajari
Developing A Multimodal Approach To Channel Characterization On Youtube, Shadi Shajari
Theses and Dissertations
YouTube has become a dominant arena for global information sharing, where creators and audiences interact through content, comments, and engagement dynamics. Understanding how these interactions shape a channel’s identity requires a comprehensive characterization of both audience behavior and content structure. This dissertation develops a unified framework for characterizing YouTube channels through multimodal analysis that integrates behavioral modeling, dimensionality reduction, clustering, and content-based characterization to provide a holistic view of audience and editorial patterns. The framework begins by analyzing the structural relationships within co-commenter networks, where users who repeatedly comment on the same videos are connected to capture patterns of interaction …
Studies Of Rhenium(I) Complexes With Protic Ligand Backbones: Base-Enabled Substitution And Co₂ Reduction, Konkanok Mathuros
Studies Of Rhenium(I) Complexes With Protic Ligand Backbones: Base-Enabled Substitution And Co₂ Reduction, Konkanok Mathuros
Theses and Dissertations from DePaul University
Carbon dioxide is a major contributor to global climate change, and developing efficient electrocatalysts for its reduction to useful products remains an important challenge in renewable energy and sustainable chemistry. Rhenium(I) tricarbonyl complexes have been widely studied for selective CO₂-to-CO conversion, and recent efforts have focused on understanding how ligand structure and proton-coupled electron transfer (PCET) processes govern catalytic activity. In this work, two families of rhenium complexes with protic backbones, fac-Re(PyBim)(CO)₃L and fac-Re(BidmimH)(CO)₃L (PyBimH = 2-(2′-pyridyl)benzimidazole; BidmimH₂ = 2,2′-bis(4,5-dimethylimidazole); L = neutral ligands), were synthesized and characterized to investigate the influence of axial ligand electronics on CO₂ reduction behavior. …
Dietary Inflammatory Index And Risk Of Colorectal Cancer In Japanese Men, Ayaka Kotemori, Kumiko Kito, Motoki Iwasaki, Taiki Yamaji, James Hébert Scd, Junko Ishihara, Manami Inoue, Shoichiro Tsugane, Norie Sawada On The Behalf Of Jphc Study Group
Dietary Inflammatory Index And Risk Of Colorectal Cancer In Japanese Men, Ayaka Kotemori, Kumiko Kito, Motoki Iwasaki, Taiki Yamaji, James Hébert Scd, Junko Ishihara, Manami Inoue, Shoichiro Tsugane, Norie Sawada On The Behalf Of Jphc Study Group
Faculty Publications
Background/Objectives: Unhealthy lifestyles lead to chronic low-grade inflammation, increasing the risk of colorectal cancer. Few studies in East Asia have examined the association between the dietary inflammation potential and colorectal cancer incidence. Therefore, we aimed to investigate this association further in the Japanese population. Methods: This study included 38,807 men aged 45–74 years who participated in the Japan Public Health Center-based prospective study (JPHC Study). The energy-adjusted dietary inflammatory index (E-DII) was derived from a food frequency questionnaire. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated using Cox proportional hazards regression models. Differences in risk due to a …
Topological Data Analysis Of New York City Taxi Trip Data Using Advanced Dimensionality Reduction And Clustering Techniques – Uncovering Structure And Timeliness, Mahalakshmi Sakthivel
Topological Data Analysis Of New York City Taxi Trip Data Using Advanced Dimensionality Reduction And Clustering Techniques – Uncovering Structure And Timeliness, Mahalakshmi Sakthivel
Theses and Dissertations
In this project, we used Topological Data Analysis (TDA) to explore the shape and structure of high-dimensional data and the timeliness dimension of information quality through topological data analysis, with the long-term goal of automatically computing timeliness values that reflect how useful data items are for decision making. The project followed a two-phase approach: in the first half, we employed the Kepler Mapper library along with techniques like Principal Component Analysis (PCA), Uniform Manifold Approximation and Projection (UMAP), T-SNE (t-Distributed Stochastic Neighbor Embedding) and Customized Embedding to analyze and visualize complex datasets. In the second phase, we specifically applied our …
Microbial Communities And Biogeochemistry Of A Melting Rocky Mountain Glacier, Pacifica Sommers, Elizabeth Traver, Alison Orthel, Andrew G. Fountain, Jacki Klancher, Steven K. Schmidt
Microbial Communities And Biogeochemistry Of A Melting Rocky Mountain Glacier, Pacifica Sommers, Elizabeth Traver, Alison Orthel, Andrew G. Fountain, Jacki Klancher, Steven K. Schmidt
Geology Faculty Publications and Presentations
Mountain glaciers are disappearing rapidly, and with their disappearance, we may be losing unstudied biodiversity and genetic resources. A variety of habitats for microorganisms exist on glaciers, especially within pockets of supraglacial sediments (cryoconite) that support high levels of biological activity and diversity. We used biogeochemical approaches, high-throughput DNA sequencing, and microscopy to describe the biogeochemistry and microbial communities of supraglacial sediments on the Dinwoody Glacier in the Wind River Range, Wyoming. Carbon (C) and nitrogen (N) concentrations were high, and C:N ratios were close to the Redfield ratio indicating active nutrient cycling. We found unique microbial communities in sediments …
Data Altruism: Eu Solution And Path Of Localization In China, Teng Wu
Data Altruism: Eu Solution And Path Of Localization In China, Teng Wu
Bulletin of Chinese Academy of Sciences (Chinese Version)
Data altruism transcends the profit-seeking, monopolistic and competitive nature of the market mechanism. It is driven by innovation and encourages data subjects and holders to share information guided by the public interest. As a new type of data application and service model, it aims to achieve a virtuous cycle of the data ecosystem while optimize the utilization of data resources. Tracing back to the source, the theoretical foundation of data altruism from the ethical theory of altruism, and the concept of its budding was supported by the data for good. Analysis shows that the specific scheme of the EU data …
Identifying And Overcoming Some Operational Limitations Of Reconfigurable Intelligent Surfaces In 5g And Beyond Wireless Networks, Souvik Deb
Doctoral Theses
Reconfigurable intelligent surfaces (RIS) can dynamically reshape the propagation environment to enhance signal strength, spectral efficiency and reliability in 5th generation (5G) cellular as well as device to device (D2D) communications. However, to reap such benefits, a range of practical and operational challenges need to be addressed for effectively utilizing RIS in realistic urban environments. This includes maintaining line of sight (LoS) between the RIS and the communicating devices for reliable signal reflection in millimeter wave (mmWave) communication, reducing high channel estimation overhead for communication using multipath rich channels and preventing violation of strict latency constraints due to high complexity …
Table Of Contents
Journal of the South Carolina Academy of Science
No abstract provided.
Ultrasonic Extraction-Based Analysis Of Persistent Organic Pollutants In Blubber From False Killer Whales, Michael O. Eze, Eva Borras, Mitchell M. Mccartney, Don R. Bergfelt, Kristi L. West, Sarah E. Hooper, Cristina E. Davis
Ultrasonic Extraction-Based Analysis Of Persistent Organic Pollutants In Blubber From False Killer Whales, Michael O. Eze, Eva Borras, Mitchell M. Mccartney, Don R. Bergfelt, Kristi L. West, Sarah E. Hooper, Cristina E. Davis
Chemistry Faculty Research & Creative Works
In view of the toxic effects of persistent organic pollutants (POPs), fast and effective assessment of their concentrations in marine mammals is important for understanding individual and population-level health impacts. This study developed an ultrasonic-based method that is less time-consuming, uses minimal solvent, and thus is more sustainable than the gold standard Soxhlet method for accurate analysis of organochlorine pesticides (OCs), polychlorinated biphenyls (PCBs), and benzene hexachlorides (BHC) in false killer whale blubber. This method was developed by comparing concentrations of POPs obtained using the traditional Soxhlet and novel ultrasonic extraction methods using blubber from false killer whales (n = …
Estimation Of Net Premium For Flight Delay Insurance Using The Aggregate Loss Model: A Case Study Of Indonesia Otas, Azka Nurul Husna, Yulial Hikmah, Ira Rosianal Hikmah
Estimation Of Net Premium For Flight Delay Insurance Using The Aggregate Loss Model: A Case Study Of Indonesia Otas, Azka Nurul Husna, Yulial Hikmah, Ira Rosianal Hikmah
Jurnal Vokasi Indonesia
Air transportation, as one of the most chosen transportation modes, is frequently susceptible to delays. Flight Delay Insurance offers a vital solution to mitigate the financial losses associated with this risk. Premium pricing is a key factor influencing the decision to purchase this insurance, particularly on Online Travel Agent (OTA) platforms where product offerings are often highly comparable. The aggregate loss method is employed herein to ascertain the net premium (or pure premium) price. The loss severity component (X) is modeled using an empirical distribution, while the loss frequency component (N) is modeled using a Negative Binomial distribution with parameters …
A Critical Appraisal On The Injury Susceptibility Of Underground Metalliferous Mine Workers: Application Of Logistic Regression Model, Sudip Das, Falguni Sarkar, P.S. Paul, B.K. Pal
A Critical Appraisal On The Injury Susceptibility Of Underground Metalliferous Mine Workers: Application Of Logistic Regression Model, Sudip Das, Falguni Sarkar, P.S. Paul, B.K. Pal
Journal of Sustainable Mining
The aim of this study is to analyze the occupational injury data of Indian underground metalliferous mines for scrutinizing the injury proneness of different groups of mine workers. In this context, injury records from 2011 to 2022 were obtained from underground metalliferous mines situated at Eastern part of India. The data were characterized and segregated based on different individual and workplace level variables. The workplace injury is categorized as ‘no injury’ and ‘all injury’. Subsequently, Frequency and Classification Based analysis (FCBA), Standardized Injury Rate (SIR) analysis and Logistic Regression Model (LRM) analysis were performed sequentially (FCBA-SIR-LRM) to predict the susceptibility …
Modulation Of Hypothalamic–Limbic Circuits Regulating Appetite In Response To Health Lifestyle In Obese Adults, Nour Shakir Rezaieg, Muthanna M. Awad
Modulation Of Hypothalamic–Limbic Circuits Regulating Appetite In Response To Health Lifestyle In Obese Adults, Nour Shakir Rezaieg, Muthanna M. Awad
Karbala International Journal of Modern Science
Background: Overeating leads to obesity a low-grade inflammatory disease. In this context, aguati-related neuropeptide (AgRP) and ghrelin are pivotal players in appetite regulation, while chemerin is an adipose tissue-secreted adipokine that contributes to low-grade inflammation associated with obesity. Objective: This study used a healthy lifestyle program designed for each obese participant to identify diet-related neuro-hormonal changes in appetite regulation. Design, Setting, and Participants: This a longitudinal quasi-experimental controlled study was conducted from 1st December 2024, to 30th July 2025, at University of Anbar. The sample included 100 participants, 50 obese (weight between 100–140 kg) and 50 healthy participants …
Evaluation Of Mcf-7 Breast Cancer Cell Cytotoxic And Antioxidant Activities Of Peptide Fractions From Symbiotic Bacteria Of Jellyfish Catostylus Sp., Eka Sry Wahyuni, Ahyar Ahmad, Muhammad Nasrum Massi, Sofa Fajriah, Randi Rimpung, Muh. Akbar Ardiputra, Harningsih Karim, Irda Handayani
Evaluation Of Mcf-7 Breast Cancer Cell Cytotoxic And Antioxidant Activities Of Peptide Fractions From Symbiotic Bacteria Of Jellyfish Catostylus Sp., Eka Sry Wahyuni, Ahyar Ahmad, Muhammad Nasrum Massi, Sofa Fajriah, Randi Rimpung, Muh. Akbar Ardiputra, Harningsih Karim, Irda Handayani
Karbala International Journal of Modern Science
Marine-derived symbiotic microorganisms are recognized as a promising source of bioactive compounds with potential therapeutic applications, yet research on jellyfish-associated bacteria remains limited. This study examines the bioactivity of peptide fractions derived from symbiotic bacteria isolated from the jellyfish Catostylus sp., collected from the coastal waters of South Sulawesi, Indonesia, with a focus on their anticancer and antioxidant properties. Following sample collection, the symbiont bacteria were isolated, enzymatically hydrolyzed, and purified before their biological activity was evaluated. Preliminary cytotoxicity screening using the brine shrimp lethality assay revealed that the extracellular peptide fraction (5–10 kDa) and intracellular peptide fraction (3–5 kDa) …
Noninvasive Condition Monitoring For Eccentricity Fault Detection In Large Hydro Generators, Atena Tazikeh Lemeski, Di̇dem Tekgün, Ozan Keysan, Kemal Leblebi̇ci̇oğlu, Murat Göl
Noninvasive Condition Monitoring For Eccentricity Fault Detection In Large Hydro Generators, Atena Tazikeh Lemeski, Di̇dem Tekgün, Ozan Keysan, Kemal Leblebi̇ci̇oğlu, Murat Göl
Turkish Journal of Electrical Engineering and Computer Sciences
Eccentricity faults in electric machines remain a critical concern, as they generate uneven magnetic forces that increase vibration and noise, ultimately raising the risk of premature motor failure. This study proposes a method for the early detection of dynamic eccentricity (DE) faults in hydropower plants through an advanced optimization-based parameter identification technique integrated with finite element analysis (FEA). Finite element modeling (FEM) is first used to analyze an existing salient-pole synchronous generator (SPSG) from a hydroelectric power plant in Türkiye. The effects of DE faults on the SPSG’s magnetic equivalent circuit parameters are then examined under various fault severities. A …
A Deep Learning Model For Accurate Tomato Leaf Disease Identification, Maheen Shahzad, Muhammad Abdullah Javed, Erum Ashraf, Hafiz Ishfaq Ahmad, Sabeen Masood
A Deep Learning Model For Accurate Tomato Leaf Disease Identification, Maheen Shahzad, Muhammad Abdullah Javed, Erum Ashraf, Hafiz Ishfaq Ahmad, Sabeen Masood
Turkish Journal of Electrical Engineering and Computer Sciences
Recent advances in machine learning and deep learning have greatly improved how we detect plant diseases, making diagnoses more accurate, faster, and easier to scale. However, many existing solutions depend on large, pretrained models that need powerful hardware, which limits their use in the field, especially in areas with limited resources. To tackle this, we designed a custom lightweight convolutional neural network (CNN) built from scratch using 20,000 carefully selected images from the PlantVillage tomato dataset. Our model uses Squeeze-and-Excitation (SE) blocks and Swish activation functions to boost performance, reaching an accuracy of 97.7% while using far fewer computing resources …
A Novel Approach To Maximum Weighted Traffic Flow Method For Effective Signal Control, Zülal Hi̇lal Yildiz Budak, Seyi̇t Alperen Çeltek, Aki̇f Durdu
A Novel Approach To Maximum Weighted Traffic Flow Method For Effective Signal Control, Zülal Hi̇lal Yildiz Budak, Seyi̇t Alperen Çeltek, Aki̇f Durdu
Turkish Journal of Electrical Engineering and Computer Sciences
Traffic signal management is a critical challenge due to its environmental, economic, and public health impacts. The maximum weighted flow method (MaxWeightedFlow) was developed to optimize traffic flow at isolated and coordinated urban intersections. This study proposes a new method, the novel MaxWeightedFlow, which includes two key strategies to enhance the classical approach. The first strategy reduces computational burden by estimating vehicle approach times based on instantaneous speeds, improving real-time performance. The second employs regression analysis to optimize the alpha parameter, representing the vehicle waiting coefficient. The proposed approach, the novel MaxWeightedFlow, was evaluated using real-world traffic data from Kilis, …
Distribution System Reliability Evaluation Considering Protection Coordination Using Petri Nets, Rani Kumari, Bhukya Krishna Naick
Distribution System Reliability Evaluation Considering Protection Coordination Using Petri Nets, Rani Kumari, Bhukya Krishna Naick
Turkish Journal of Electrical Engineering and Computer Sciences
Maintaining reliable and high-quality power delivery becomes increasingly complex with expanding power grids. The lack of protection coordination poses a significant threat, compromising overall system reliability. This research addresses this challenge by proposing a method for coordinating protective devices within the distribution system, specifically during network faults. The proposed approach utilizes a stochastic timed Petri net (STPN) based methodology to model protective device coordination across various fault scenarios. This technique effectively captures the dynamic behavior and interactions of protective equipment, allowing for the anticipation of potential disturbances. This proactive insight facilitates preventative measures to address prewarning situations, thereby preventing cascading …
Butte Priority Soils Operable Unit (Bpsou) Data Summary Report (Dsr) Statement Of Authenticity Updates, Mike Mcanulty
Butte Priority Soils Operable Unit (Bpsou) Data Summary Report (Dsr) Statement Of Authenticity Updates, Mike Mcanulty
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
A Robust Deep Learning Ensemble Framework For Waterbody Detection Using High-Resolution X-Band Sar Under Data-Constrained Conditions, Soyeon Choi, Seung Hee Kim, Son V. Nghiem, Menas Kafatos, Minha Choi, Jinsoo Kim, Yangwon Lee
A Robust Deep Learning Ensemble Framework For Waterbody Detection Using High-Resolution X-Band Sar Under Data-Constrained Conditions, Soyeon Choi, Seung Hee Kim, Son V. Nghiem, Menas Kafatos, Minha Choi, Jinsoo Kim, Yangwon Lee
Institute for ECHO Articles and Research
Accurate delineation of inland waterbodies is critical for applications such as hydrological monitoring, disaster response preparedness and response, and environmental management. While optical satellite imagery is hindered by cloud cover or low-light conditions, Synthetic Aperture Radar (SAR) provides consistent surface observations regardless of weather or illumination. This study introduces a deep learning-based ensemble framework for precise inland waterbody detection using high-resolution X-band Capella SAR imagery. To improve the discrimination of water from spectrally similar non-water surfaces (e.g., roads and urban structures), an 8-channel input configuration was developed by incorporating auxiliary geospatial features such as height above nearest drainage (HAND), slope, …