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Articles 2671 - 2700 of 8010
Full-Text Articles in Engineering
Monitoring The Land Cover Changes In Mangrove Areas And Urbanization Using Normalized Difference Vegetation Index And Normalized Difference Built-Up Index In Krabi Estuary Wetland, Krabi Province, Thailand, Katawut Waiyasusri
Applied Environmental Research
Krabi Estuary Wetland (KEW) is an outstanding wetland with an estuary environment. At present, the tourism industry has rapidly grown, resulting in the impact of land cover changes. This research aims to assess the changes that have occurred in the KEW from 1999 to 2020 using NDVI and NDBI for monitoring changes in mangrove areas and urbanization in Krabi Province, Thailand. Landsat satellite images in years 1999, 2009 and 2020 were classified by using a band ratio to create land cover maps. The results show that NDVI between 0.41–1.00 clearly shows the mangrove forest area, while NDBI between 0.01–0.40 shows …
Application Of Gis And Multi-Criteria Statistical Techniques In Assessing Water Quality In The Coastal Province Of Vietnamese Mekong Delta, Giao Thanh Nguyen, Thi Hong Nhien Huynh
Application Of Gis And Multi-Criteria Statistical Techniques In Assessing Water Quality In The Coastal Province Of Vietnamese Mekong Delta, Giao Thanh Nguyen, Thi Hong Nhien Huynh
Applied Environmental Research
The study was conducted to evaluate the quality and spatial distribution of surface water quality in Soc Trang, a coastal province using Geographic information system (GIS) and multivariate statistical analysis. Water monitoring data was collected from 19 sampling locations with 19 parameters were analyzed from February 2019 to August 2020. The results indicated that water quality was contaminated with organic matters, nutrients, coliforms and salinity. Water quality index (WQI=22–73) indicated that water quality was from poor to medium level. Cluster analysis (CA) classified 19 monitoring sites into 7 groups and 19 months into 3 seasons including rainy season, rainy season-early …
Adsorption Of Methylene Blue By Low-Cost Biochar Derived From Elephant Dung, Yanasinee Suma, Nittaya Pasukphun, Numfon Eaktasang
Adsorption Of Methylene Blue By Low-Cost Biochar Derived From Elephant Dung, Yanasinee Suma, Nittaya Pasukphun, Numfon Eaktasang
Applied Environmental Research
Elephant dung biochar (ED350) prepared by controlled heating at 350 ºC was used to adsorb methylene blue (MB) in an aqueous solution. The effects of adsorption time, pH, adsorbent dosage, and initial MB concentration were examined. Kinetic, isotherm, and thermo-dynamic models were then further analyzed to determine the adsorption. The results show that ED350 was found to be efficient within 180 min. The optimum pH of MB adsorption was 11. The Langmuir isotherm model was found to be the most suitable fit for the adsorption equilibrium data, with ED350 having a homogeneous surface. The calculated equilibrium parameter (RL) …
A Workforce And Truck Allocation Model In A Solid Waste Management System: A Case From Nigeria, Desmond E. Ighravwe, Sunday A. Oke
A Workforce And Truck Allocation Model In A Solid Waste Management System: A Case From Nigeria, Desmond E. Ighravwe, Sunday A. Oke
Applied Environmental Research
No abstract provided.
Spatiotemporal Flood Risk Determination And Management For A Large River Basin, Nuanchan Singkran
Spatiotemporal Flood Risk Determination And Management For A Large River Basin, Nuanchan Singkran
Applied Environmental Research
No abstract provided.
Synergistic Effect Of Waste Feedstock Mixture And Torrefaction Pre-Treatment On Some Briquette Characteristics Of Cornhusk And Sawdust Wastes, Mufutau A. Waheed, Opeyemi A. Akogun
Synergistic Effect Of Waste Feedstock Mixture And Torrefaction Pre-Treatment On Some Briquette Characteristics Of Cornhusk And Sawdust Wastes, Mufutau A. Waheed, Opeyemi A. Akogun
Applied Environmental Research
Agricultural waste management through energy recovery is one of the critical options that could drive the clean energy production industry and properly replace the use of coal in Nigeria if done sustainably. The objective of this work therefore is to study the synergetic effect of waste feedstock mixture and torrefaction pre-treatment on some physical and performance characteristics of briquettes from cornhusk (CH) and sawdust (SD) wastes. In this work, CH and SD wastes were processed raw and torrefied at 200 to 300 °C and were mixed in the ratios between 90/10 and 10/90 for briquette production using D-optimal crossed design. …
Step-Wise Deep Learning Models For Solving Routing Problems, Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang
Step-Wise Deep Learning Models For Solving Routing Problems, Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang
Research Collection School Of Computing and Information Systems
Routing problems are very important in intelligent transportation systems. Recently, a number of deep learning-based methods are proposed to automatically learn construction heuristics for solving routing problems. However, these methods do not completely follow Bellman's Principle of Optimality since the visited nodes during construction are still included in the following subtasks, resulting in suboptimal policies. In this article, we propose a novel step-wise scheme which explicitly removes the visited nodes in each node selection step. We apply this scheme to two representative deep models for routing problems, pointer network and transformer attention model (TAM), and significantly improve the performance of …
Promoting Diversity In Academic Research Communities Through Multivariate Expert Recommendation, Omar Salman
Promoting Diversity In Academic Research Communities Through Multivariate Expert Recommendation, Omar Salman
Graduate Theses and Dissertations
Expert recommendation is the process of identifying individuals who have the appropriate knowledge and skills to achieve a specific task. It has been widely used in the educational environment mainly in the hiring process, paper-reviewer assignment, and assembling conference program committees. In this research, we highlight the problem of diversity and fair representation of underrepresented groups in expertise recommendation, factors that current expertise recommendation systems rarely consider. We introduce a novel way to model experts in academia by considering demographic attributes in addition to skills. We use the h-index score to quantify skills for a researcher and we identify five …
Butte Reclamation Evaluation System Field Manual, Pioneer Technical Services, Inc.
Butte Reclamation Evaluation System Field Manual, Pioneer Technical Services, Inc.
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Visualizing Publication Trends In Webology Journal: A Bibliometric Review Based On The Scopus Database (2006-2020), Ayush Kumar Patel, Madan Singh, Kunwar Singh, Avadhesh Kumar Patel, Akhilesh Kumar Varma, Ramesh Kuri
Visualizing Publication Trends In Webology Journal: A Bibliometric Review Based On The Scopus Database (2006-2020), Ayush Kumar Patel, Madan Singh, Kunwar Singh, Avadhesh Kumar Patel, Akhilesh Kumar Varma, Ramesh Kuri
Library Philosophy and Practice (e-journal)
This study aims to explore the publication trends in Webology Journal. The Scopus database was chosen for the extraction of bibliographic data for the period 2006 to 2020. Then, VOSviewer software was used to analyse the data and generate visualization network maps. A total of 295 publications were found during the study period. The various bibliometrics indicators have been applied to identify the publication trends of Webology Journal. The finding revealed that the highest number of papers (92) and the maximum number of citations (273) appeared in 2020. Among the most contributing nations, Iran has contributed 63 documents, followed by …
Data Science For Building Energy Efficiency: A Comprehensive Text-Mining Driven Review Of Scientific Literature, Mahmoud M. Abdelrahman, Sicheng Zhan, Clayton Miller, Adrian Chong
Data Science For Building Energy Efficiency: A Comprehensive Text-Mining Driven Review Of Scientific Literature, Mahmoud M. Abdelrahman, Sicheng Zhan, Clayton Miller, Adrian Chong
Research Collection College of Integrative Studies
The ever-changing data science landscape is fueling innovation in the built environment context by providing new and more effective means of converting large raw data sets into value for professionals in the design, construction and operations of buildings. The literature developed due to this convergence has rapidly increased in recent years, making it difficult for traditional review approaches to cover all related papers. Therefore, this paper applies a natural language processing (NLP) method to provide an exhaustive and quantitative review.Approximately 30,000 scientific publications were retrieved from the Elsevier API to extract the relationship between data sources, data science techniques, and …
Design For Living
DePaul Magazine
With health care increasingly moving online, DePaul has emerged as a leader in cutting-edge digital technology leveraged for the greater good. From harnessing design as a vehicle for social change to creating an app to help close racial inequity gaps in care, 21st-century advances with an eye toward Vincentian values are unfolding every day at DePaul thanks to the inventiveness and ingenuity of its faculty, staff and students.
Data-Driven Studies On Social Networks: Privacy And Simulation, Yasanka Sameera Horawalavithana
Data-Driven Studies On Social Networks: Privacy And Simulation, Yasanka Sameera Horawalavithana
USF Tampa Graduate Theses and Dissertations
Social media datasets are fundamental to understanding a variety of phenomena, such as epidemics, adoption of behavior, crowd management, and political uprisings. At the same time, many such datasets capturing computer-mediated social interactions are recorded nowadays by individual researchers or by organizations. However, while the need for real social graphs and the supply of such datasets are well established, the flow of data from data owners to researchers is significantly hampered by privacy risks: even when humans’ identities are removed, or data is anonymized to some extent, studies have proven repeatedly that re-identifying anonymized user identities (i.e., de-anonymization) is doable …
Web Services In Cloud Computing Research: Insights From Scientometric, Sivankalai S, Virumandi A
Web Services In Cloud Computing Research: Insights From Scientometric, Sivankalai S, Virumandi A
Library Philosophy and Practice (e-journal)
The research is the outcome of the investigation of 4035 papers on web services and cloud study, as covered in the Web of Knowledge core collection database during 2010 - 2019, going through an overall group author contribution of 29.00% during the period, Iosup, Alexandru, et al with a citation impact per paper of 44.10% and a journal impact per paper of 5.768 by Future generation computer systems-the international journal of science. The world's web services and cloud research output is diverse, with the top three open access research journals accounting for 66.59% (All Open Access 44.03%, DOAJ Gold 17.41%, …
Fasten: An Iot Platform For Supply Chain Management In A Covid-19 Pandemic Scenario, Fernando Lemos, Thays Do Nascimento, Gustavo Dalmarco
Fasten: An Iot Platform For Supply Chain Management In A Covid-19 Pandemic Scenario, Fernando Lemos, Thays Do Nascimento, Gustavo Dalmarco
Markets, Globalization & Development Review
This paper points out the major disruptions caused by the COVID-19 pandemic. It proposes an automated Internet-of-Things (IoT) based manufacturing and supply chain system, termed FASTEN, that can deal with such severe disruptions.
Creating A Field-Wide Forage Canopy Model Using Uavs And Photogrammetry Processing, Cameron Minch, Joseph S. Dvorak, Joshua J. Jackson, Stuart Tucker Sheffield
Creating A Field-Wide Forage Canopy Model Using Uavs And Photogrammetry Processing, Cameron Minch, Joseph S. Dvorak, Joshua J. Jackson, Stuart Tucker Sheffield
Biosystems and Agricultural Engineering Faculty Publications
Alfalfa canopy structure reveals useful information for managing this forage crop, but manual measurements are impractical at field-scale. Photogrammetry processing with images from Unmanned Aerial Vehicles (UAVs) can create a field-wide three-dimensional model of the crop canopy. The goal of this study was to determine the appropriate flight parameters for the UAV that would enable reliable generation of canopy models at all stages of alfalfa growth. Flights were conducted over two separate fields on four different dates using three different flight parameters. This provided a total of 24 flights. The flight parameters considered were the following: 30 m altitude with …
Replicating Lean Six Sigma Green Belt Education, Martinus J. Buijvoets, Bob Walrave, Jukka-Matti Turtiainen, Gregory H. Watson
Replicating Lean Six Sigma Green Belt Education, Martinus J. Buijvoets, Bob Walrave, Jukka-Matti Turtiainen, Gregory H. Watson
International Conference on Lean Six Sigma
Purpose – This paper describes the intricates and possibilities of replicating a Lean Six Sigma Green Belt (LSSGB) education model from a pilot program to other universities—employing ‘replication as strategy’—based on a validated ‘business model.’
Study design/methodology/approach – This work is grounded in a case study on the ESTIEM LSSGB educational method and draws on the replication literature. Specifically: (1) replication as strategy (Winter and Szulanski, 2001) to replicate stimulating learning environments, and (2) replicating sets of teaching practices (Baden-Fuller and Winter, 2007). These theories are practiced using data obtained from various sources: Participant-observer data, interview data, and secondary case …
Six Sigma, Sustainability, And It Management: A Research Review And Discussion Of Future Directions, Manal Alduraibi, Timothy Winders, Chad Laux
Six Sigma, Sustainability, And It Management: A Research Review And Discussion Of Future Directions, Manal Alduraibi, Timothy Winders, Chad Laux
International Conference on Lean Six Sigma
Abstract
Purpose- Six Sigma is based upon quality improvement by finding the root cause and refining processes to the precision of process outcomes. The purpose of this research was to conduct a systematic literature review (SLR) to explore the Six Sigma techniques and information technology (IT) management concepts to identify the IT management principle's impact on the sustainability of Six Sigma project efforts and identify the gaps that are essential to be addressed through further research. This research also discusses the principles of IT management upon the influence on Six Sigma projects, and subsequent contribution to organizational economic sustainability. An …
Sustaining Continuous Improvement In Public Sector Services Through Double Loop Learning, Chris Buckell Msc, Mairi Macintyre Assoc. Prof.
Sustaining Continuous Improvement In Public Sector Services Through Double Loop Learning, Chris Buckell Msc, Mairi Macintyre Assoc. Prof.
International Conference on Lean Six Sigma
Abstract
Purpose: Public Service Organisations (PSOs) are facing continuing funding challenges and increased pressure to maintain and improve service delivery with fewer resources. One response, with the promise of improving efficiency rather than cutting services, has been to implement Continuous Improvement (CI) but success has been sporadic and unpredictable. The well documented and pervasive CI methodologies in PSOs, including Lean and Six Sigma, have general agreement across practitioners and scholars alike, thus the reasons behind their potted success must lie elsewhere, in the culture or the environment perhaps? This work explores the wider contextual issues of CI implementation with the …
The Contribution Of Mining Sector To Sustainable Development In Saudi Arabia, Mourad Zmami, Ousama Ben-Salha, Sultan O. Almarshad, Houyem Chekki
The Contribution Of Mining Sector To Sustainable Development In Saudi Arabia, Mourad Zmami, Ousama Ben-Salha, Sultan O. Almarshad, Houyem Chekki
Journal of Sustainable Mining
The mining sector development is among the priorities of the Saudi Vision 2030. There is currently a lot of interest in the role of the mining sector in Saudi Arabia. This research contributes to this debate by empirically assessing the effects of mining on sustainable development in Saudi Arabia during the period 1980-2018. Unlike many previous studies, the three sustainable development dimensions, namely economic, social, and environmental, are jointly considered. The cointegration analysis, based on the ARDL, Gregory-Hansen, and combined cointegration tests, confirms the existence of long-run relationships between mining and all sustainable development dimensions. Furthermore, the findings lend substantial …
Space And Defense – Volume Twelve – Number One – Winter 2021, Space And Defense Journal
Space And Defense – Volume Twelve – Number One – Winter 2021, Space And Defense Journal
Space and Defense
No abstract provided.
Adaptive Network Slicing In Fog Ran For Iot With Heterogeneous Latency And Computing Requirements: A Deep Reinforcement Learning Approach, Almuthanna Nassar
Adaptive Network Slicing In Fog Ran For Iot With Heterogeneous Latency And Computing Requirements: A Deep Reinforcement Learning Approach, Almuthanna Nassar
USF Tampa Graduate Theses and Dissertations
In view of the recent advances in Internet of Things (IoT) devices and the emerging new breed of smart city applications and intelligent vehicular systems driven by artificial intelligence, fog radio access network (F-RAN) has been recently introduced for the next generation wireless communications. The capability of F-RAN has emerged to overcome the latency limitations of cloud-RAN (C-RAN) and assure the quality-of-service (QoS) requirements of the ultra-reliable-low-latency-communication (URLLC) for IoT applications. To this end, fog nodes (FNs) are equipped with computing, signal processing and storage capabilities to extend the inherent operations and services of the cloud to the edge. However, …
A Quantitative Validation Of Multi-Modal Image Fusion And Segmentation For Object Detection And Tracking, Nicholas Lahaye, Michael J. Garay, Brian D. Bue, Hesham El-Askary, Erik Linstead
A Quantitative Validation Of Multi-Modal Image Fusion And Segmentation For Object Detection And Tracking, Nicholas Lahaye, Michael J. Garay, Brian D. Bue, Hesham El-Askary, Erik Linstead
Mathematics, Physics, and Computer Science Faculty Articles and Research
In previous works, we have shown the efficacy of using Deep Belief Networks, paired with clustering, to identify distinct classes of objects within remotely sensed data via cluster analysis and qualitative analysis of the output data in comparison with reference data. In this paper, we quantitatively validate the methodology against datasets currently being generated and used within the remote sensing community, as well as show the capabilities and benefits of the data fusion methodologies used. The experiments run take the output of our unsupervised fusion and segmentation methodology and map them to various labeled datasets at different levels of global …
More Than Mechanisms: Shifting Ideologies For Asset-Based Learning In Engineering Education, Brian E. Gravel, Eli Tucker-Raymond, Aditi Wagh, Susan Klimczak, Naeem Wilson
More Than Mechanisms: Shifting Ideologies For Asset-Based Learning In Engineering Education, Brian E. Gravel, Eli Tucker-Raymond, Aditi Wagh, Susan Klimczak, Naeem Wilson
Journal of Pre-College Engineering Education Research (J-PEER)
Learning spaces, the practices in which people engage, and the representations they use are ideological. Ideologies are coherent constellations of values, beliefs, and practices that impose order on how disciplines like engineering operate. Historically, engineering spaces have been dominated by a relatively technocratic, rationalistic, and exclusionary ideology, but more recent attention to asset-based approaches to engineering education offers transformative promise. Asset-based ideologies can reshape images of legitimized engineering practice, recasting engineering education to disrupt dominant exclusionary ideologies. This paper describes an assets-based learning space, SETC, that recaptures the imagination of engineering for technological and social change. Drawing from extensive ethnographic …
Making Makers: Tracing Stem Identity In Rural Communities, Jessie Nixon, Andy Stoiber, Erica Halverson, Michael Dando
Making Makers: Tracing Stem Identity In Rural Communities, Jessie Nixon, Andy Stoiber, Erica Halverson, Michael Dando
Journal of Pre-College Engineering Education Research (J-PEER)
In this article, we describe efforts to reduce barriers of entry to pre-college engineering in a rural community by training local teens to become maker-mentors and staff a mobile makerspace in their community. We bring a communities of practice frame to our inquiry, focusing on inbound and peripheral learning and identity trajectories as a mechanism for representing the maker-mentor experience. Through a longitudinal case study, we traced the individual trajectories of five maker-mentors over two years. We found a collection of interrelated factors present in those students who maintained inbound trajectories and those who remained on the periphery. Our research …
Optimal Capacitor Placement - A Bibliometric Survey, K V S Ramachandra Murthy, K Prabha Rani, Ramesh Adireddy, Nandan D.
Optimal Capacitor Placement - A Bibliometric Survey, K V S Ramachandra Murthy, K Prabha Rani, Ramesh Adireddy, Nandan D.
Library Philosophy and Practice (e-journal)
In this paper, Bibliometric survey has been carried out on Optimal Capacitor Placement from 1981 to 2021. Scopus database has been used for the analysis. There were total 909 documents found on the topic of Optimal Capacitor placement. The statistical analysis is carried out source-wise, year-wise, area-wise, Country-wise, University wise, author-wise, and based on funding agency. Network analysis is also carried out based on Co-authorship, Co-occurrence, Citation Analysis and Bibliographic coupling. Results are presented. During 2016, there were 77 documents published which is the highest. International Journal of Electrical Power and Energy Systems of Elsevier has published 37 documents during …
Scientific Mapping Of Research On Digital Pulmonary Function Test: A Bibliometric Analysis, Aditya Kekre Mr., Ashutosh Desai Mr., Ashwin Sujit Mr., Dhruv Dewett Mr., Shilpa Hudnurkar Prof.
Scientific Mapping Of Research On Digital Pulmonary Function Test: A Bibliometric Analysis, Aditya Kekre Mr., Ashutosh Desai Mr., Ashwin Sujit Mr., Dhruv Dewett Mr., Shilpa Hudnurkar Prof.
Library Philosophy and Practice (e-journal)
Digital Pulmonary Function Test (PFT) is a non-invasive test that helps in evaluating the efficiency of a patient’s lungs. The test is key to keeping tabs on a patient’s health that may be suffering from Chronic Obstructive Pulmonary Disease, Asthma, Restrictive Respiratory Disease, etc, as pollution increases day by day in the world the amount of people getting affected from it and being diagnosed with respiratory diseases the importance of PFT continues to grow. The Scopus database has been used exclusively for this analysis. A key observation of this survey has been that engineering and medicine have gone hand in …
A Brief Bibliometric Survey On Night Vision Bot Using Dynamic Ir And Object Detection, Devesh Abhyankar Mr., Gurumoorty Suresh Mr., Hrithik Sambhaji Karjule Mr., Parth Bhardwaj Mr., Harish Muleva Mr., Anurag Mahajan Dr.
A Brief Bibliometric Survey On Night Vision Bot Using Dynamic Ir And Object Detection, Devesh Abhyankar Mr., Gurumoorty Suresh Mr., Hrithik Sambhaji Karjule Mr., Parth Bhardwaj Mr., Harish Muleva Mr., Anurag Mahajan Dr.
Library Philosophy and Practice (e-journal)
This study aims to analyse the work done in the field of Night Vision Robots using IR and Object Detection from 2011 to 2021, using the bibliometric methods. This paper presents a Scopus database review on "Night Vision Bot using Dynamic IR and Object Detection". The necessity for doing this bibliometric survey is that to know how the technology in the field of mobile robotics and night vision, as well as to object detection, has evolved over the years. This paper shows the importance of Night Vision Robot from the year 2011 and continued up to 2021 April. The database …
Contested Landscapes, Disputed Realities: An Investigation Of Socio-Environmental Conflict From Mining In Northern Ecuador: An Honors Thesis, Ian F. Hirons
Student Works
For decades, Ecuador has been one of the preeminent petrostates in South America. However, in response to recent drops in global demand and pricing for oil products, the country has made serious commitments to further develop its mineral resources. By opening a new natural resource sector, Ecuador has firmly cemented itself as a primarily extractivist nation. In the process, the national government has frequently come into conflict with activist and community groups who protest the encroachment of extractive industry. This thesis explores the various dimensions of socio-environmental conflict created by large-scale mining projects in northern Ecuador with specific attention to …
The Impact Of Human Factors And Maintenance Documentation On Aviation Safety: An Analysis Of 15 Years Of Accident Data Through The Pear Framework, Flavio A. C. Mendonca, Natalie Zimmermann
The Impact Of Human Factors And Maintenance Documentation On Aviation Safety: An Analysis Of 15 Years Of Accident Data Through The Pear Framework, Flavio A. C. Mendonca, Natalie Zimmermann
Publications
Regardless of the type of maintenance performed on aircraft, instructions are to be used to provide the aviation technicians completing the maintenance activities with guidance on, and an outline of, the maintenance items to be performed and completed. However, the use of instructions does not guarantee the correct and proper completion of the maintenance activities as the instructions may be erroneous and/or maintenance personnel can misunderstand, misinterpret, or improperly follow the procedures outlined. Resulting maintenance errors can potentially result in aircraft accidents, as illustrated by Air Midwest Flight 5481. With the purpose of understanding how human factors associated with written …