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Articles 781 - 810 of 4606
Full-Text Articles in Engineering
A Tutoring Framework To Support Computer Science Programmes In Higher Education, Emer Thornbury, Frances Sheridan, Pramod Pathak, Cristina Hava Muntean, Paul Stynes
A Tutoring Framework To Support Computer Science Programmes In Higher Education, Emer Thornbury, Frances Sheridan, Pramod Pathak, Cristina Hava Muntean, Paul Stynes
Conference papers
Computing Support is the provision of academic supports such as individual tutoring and support classes to students studying computing at third level. Students can struggle with computing as it requires practice involving trial and error. This work proposes a research informed tutoring framework to support computer science students at third level. The tutoring framework combines three pillars; staff and training, pedagogies and activities. Support is put in place to help students develop technical and programming skills. Essential tutoring is provided for those who might otherwise drop out of college. The framework was applied to first and second-year undergraduate programmes and …
A Real-Time Machine Learning Framework For Smart Home-Based Yoga Teaching System, Jothika Sunney, Musfira Jilani, Pramod Pathak, Paul Stynes
A Real-Time Machine Learning Framework For Smart Home-Based Yoga Teaching System, Jothika Sunney, Musfira Jilani, Pramod Pathak, Paul Stynes
Conference papers
Practicing yoga poses in a home-based environment has increased due to Covid19. Yoga poses without a trainer can be challenging, and incorrect yoga poses can cause muscle damage. Smart home-based yoga teaching systems may aid in performing accurate yoga poses. However, the challenge with such systems is the computational time required to detect yoga poses. This research proposes a real-time machine learning framework for teaching accurate yoga poses. It combines a pose estimation model, a pose classification model, and a real-time feedback mechanism. The dataset consists of five popular yoga poses namely the downdog pose, the tree pose, the goddess …
Indication Of Pedestrian’S Travel Direction Through Bluetooth Low Energy Signals Perceived By A Single Observer Device, Mayank Parmar, Paula Kelly, Damon Berry
Indication Of Pedestrian’S Travel Direction Through Bluetooth Low Energy Signals Perceived By A Single Observer Device, Mayank Parmar, Paula Kelly, Damon Berry
Conference papers
This paper presents a study to understand the directional sensitivity of a Bluetooth Low Energy (BLE) monitoring device (Observer) and whether, using a single such Observer, the characteristics of its antenna can be used to identify the direction of a pedestrian’s movement. To comprehend the directional characteristics of the antenna of the Observer employed for this study, the device is subjected to BLE signals emitted from a BLE beacon (Broadcaster) in an anechoic chamber. The results of this study confirmed that in the clean, noiseless environment of the chamber, the antenna we employed is clearly more receptive to signals emerging …
Detection Of Pause In A Pedestrian’S Movement On A Linear Walkway Using Bluetooth Low Energy Received Signal Strength Indicator, Mayank Parmar, Paula Kelly, Damon Berry
Detection Of Pause In A Pedestrian’S Movement On A Linear Walkway Using Bluetooth Low Energy Received Signal Strength Indicator, Mayank Parmar, Paula Kelly, Damon Berry
Conference papers
In recent years, Bluetooth Low Energy (BLE) has amassed significant attention in several applications. Its potential, however, remains largely unexplored for understanding pedestrian behaviour. This study focuses on investigating the potential of BLE in identifying pedestrian activity in an outdoor linear walkway. We specifically examine the likelihood of detecting pauses in the movement of pedestrians on a linear walkway using the strength of the signals obtained from a BLE device carried by the pedestrian. To accomplish this, a volunteer pedestrian intentionally pauses at selected points on the chosen walkway for varying predetermined intervals. The obtained data was conditioned using a …
The Role Of Soc In Ensuring The Security Of Iot Devices: A Review Of Current Challenges And Future Directions, Hajar Bennouri, Abdiaziz Abdi, Iqbal Hossain, Alexandre Pujol
The Role Of Soc In Ensuring The Security Of Iot Devices: A Review Of Current Challenges And Future Directions, Hajar Bennouri, Abdiaziz Abdi, Iqbal Hossain, Alexandre Pujol
Conference papers
The growing popularity and deployment of Internet of Things (IoT) devices has led to serious security concerns. The integration of a security operations center (SOC) becomes increasingly important in this situation to ensure the security of IoT devices. In this article, we will present a summary of IoT device security issues, their vulnerabilities, a review of current challenges to keep these devices secure, and discuss the role that SOC can bring in protecting IoT devices while considering the challenges encountered and the directions to consider when implementing a reliable SOC for IoT monitoring.
Work In Progress: A Virtual Educational Robotics Coding Club Framework To Improve K-6 Students Emotional Engagement In Stem, Kate Carmody, Julie Booth, Jospehine Bleach, Pramod Pathak, Paul Styles
Work In Progress: A Virtual Educational Robotics Coding Club Framework To Improve K-6 Students Emotional Engagement In Stem, Kate Carmody, Julie Booth, Jospehine Bleach, Pramod Pathak, Paul Styles
Conference papers
The growing popularity and deployment of Internet of Things (IoT) devices has led to serious security concerns. The integration of a security operations center (SOC) becomes increasingly important in this situation to ensure the security of IoT devices. In this article, we will present a summary of IoT device security issues, their vulnerabilities, a review of current challenges to keep these devices secure, and discuss the role that SOC can bring in protecting IoT devices while considering the challenges encountered and the directions to consider when implementing a reliable SOC for IoT monitoring.
Robustness Of Image-Based Malware Classification Models Trained With Generative Adversarial Networks, Ciaran Reilly, Stephen O Shaughnessy, Christina Thorpe
Robustness Of Image-Based Malware Classification Models Trained With Generative Adversarial Networks, Ciaran Reilly, Stephen O Shaughnessy, Christina Thorpe
Conference papers
As malware continues to evolve, deep learning models are increasingly used for malware detection and classification, including image based classification. However, adversarial attacks can be used to perturb images so as to evade detection by these models. This study investigates the effectiveness of training deep learning models with Generative Adversarial Network-generated data to improve their robustness against such attacks. Two image conversion methods, byte plot and space-filling curves, were used to represent the malware samples, and a ResNet-50 architecture was used to train models on the image datasets. The models were then tested against a projected gradient descent attack. It …
Queer In Ai: A Case Study In Community-Led Participatory Ai, Anaelia Ovalle, Arjun Subramonian, Ashwiin Singh, Claas Voelcker, Danica Sutherland, Davide Locatelli, Eva Breznik, Felip Klubicka, Hang Yuan, Hetvi J, Huan Zhang, Jaidev Shriram, Kruno Lehman, Luca Soldaini, Maarten Sap, Marc Peter Deisenroth, Maria Leonor Pacheco, Maria Ryskina, Martin Mundt, Melind Agarwal, Nyx Mclean, Pan Xu, A. Pranav, Raj Korpan, Ruchira Ray, Sarah Mathew, Sarthak Arora, S.T. John, Tanvi Anand, Vishakha Agrawal, William Agnew, Yanan Long, Zijie J. Wang, Zeerak Talat, Avijit Ghosh, Nathaniel Dennler, Michael Noseworthy, Sharvani Jha, Emi Baylor, Aditya Joshi, Natalia Y. Bilenko, Andrew Mcnamara, Raphael Gontijo-Lopes, Alex Markham, Evyn Dong, Jackie Kay, Manu Saraswat, Nikhil Vytla, Luke Stark
Queer In Ai: A Case Study In Community-Led Participatory Ai, Anaelia Ovalle, Arjun Subramonian, Ashwiin Singh, Claas Voelcker, Danica Sutherland, Davide Locatelli, Eva Breznik, Felip Klubicka, Hang Yuan, Hetvi J, Huan Zhang, Jaidev Shriram, Kruno Lehman, Luca Soldaini, Maarten Sap, Marc Peter Deisenroth, Maria Leonor Pacheco, Maria Ryskina, Martin Mundt, Melind Agarwal, Nyx Mclean, Pan Xu, A. Pranav, Raj Korpan, Ruchira Ray, Sarah Mathew, Sarthak Arora, S.T. John, Tanvi Anand, Vishakha Agrawal, William Agnew, Yanan Long, Zijie J. Wang, Zeerak Talat, Avijit Ghosh, Nathaniel Dennler, Michael Noseworthy, Sharvani Jha, Emi Baylor, Aditya Joshi, Natalia Y. Bilenko, Andrew Mcnamara, Raphael Gontijo-Lopes, Alex Markham, Evyn Dong, Jackie Kay, Manu Saraswat, Nikhil Vytla, Luke Stark
Conference papers
Queerness and queer people face an uncertain future in the face of ever more widely deployed and invasive artificial intelligence (AI). These technologies have caused numerous harms to queer people, including privacy violations, censoring and downranking queer content, exposing queer people and spaces to harassment by making them hypervisible, deadnaming and outing queer people. More broadly, they have violated core tenets of queerness by classifying and controlling queer identities. In response to this, the queer community in AI has organized Queer in AI, a global, decentralized, volunteer-run grassroots organization that employs intersectional and community-led participatory design to build an inclusive …
Bilstm−Bigru: A Fusion Deep Neural Network For Predicting Air Pollutant Concentration, Prasanjit Dey, Soumyabrata Dev, Bianca Schoen-Phelan
Bilstm−Bigru: A Fusion Deep Neural Network For Predicting Air Pollutant Concentration, Prasanjit Dey, Soumyabrata Dev, Bianca Schoen-Phelan
Conference papers
Predicting air pollutant concentrations is an efficient way to prevent incidents by providing early warnings of harmful air pollutants. A precise prediction of air pollutant concentrations is an important factor in controlling and preventing air pollution. In this paper, we develop a bidirectional long-short-term memory and a bidirectional gated recurrent unit (BiLSTM−BiGRU) to predict PM 2.5 concentrations in a target city for different lead times. The BiLSTM extracts preliminary features, and the BiGRU further extracts deep features from air pollutant and meteorological data. The fully connected (FC) layer receives the output and makes an accurate prediction of the PM 2.5 …
Graph-Based Mutations For Music Generation, Maziar Kanani, Sean O'Leary, James Mcdermott
Graph-Based Mutations For Music Generation, Maziar Kanani, Sean O'Leary, James Mcdermott
Conference papers
Our study aims to compare the effects of direct mutation and graphbased mutation on representations of music domain. We focus on short tunes from the Irish folk tradition, represented as integer sequences, and use a graph-based representation based on Pathway Assembly (a directed acyclic graph) and the Sequitur algorithm. We define multiple mutation operators to work directly on the sequences or on the graphs, hypothesizing that graph-based mutations will tend to preserve the pattern used per tune, while direct mutation of sequences will tend to destroy patterns, resulting in new generated tunes that are more complex. We perform experiments on …
Capturing The Behaviour Of Volunteer Pedestrians In A Newly-Developed University Campus Using A Distributed Array Of Bluetooth Low Energy Devices, Ahlam Al Anbouri, Mayank Parmar, David Powell, Paula Kelly, Niall Holmes Dr., Damon Berry, Lorraine D'Arcy
Capturing The Behaviour Of Volunteer Pedestrians In A Newly-Developed University Campus Using A Distributed Array Of Bluetooth Low Energy Devices, Ahlam Al Anbouri, Mayank Parmar, David Powell, Paula Kelly, Niall Holmes Dr., Damon Berry, Lorraine D'Arcy
Conference papers
Contemporary public infrastructure projects emphasise sustainable options that integrate pedestrian routes, leisure facilities and convenient access to public transport systems. It is important to understand the effectiveness of these contemporary designs. In the age of the General Data Protection Regulation (GDPR), there is a need to develop technologybased solutions that collect information about the behaviour of pedestrians in public spaces as they commute and engage in leisure pursuits while simultaneously preserving the privacy of these citizens. Bluetooth Low Energy (BLE), has privacypreserving features that make it worth considering as part of a technology solution for studies of this type. This …
Combinedeepnet: A Deep Network For Multistep Prediction Of Near-Surface Pm2.5 Concentration, Prasanjit Dey, Soumyabrata Dev, Bianca Schoen-Phelan
Combinedeepnet: A Deep Network For Multistep Prediction Of Near-Surface Pm2.5 Concentration, Prasanjit Dey, Soumyabrata Dev, Bianca Schoen-Phelan
Conference papers
PM2.5 is a type of air pollutant that can cause respiratory and cardiovascular problems. Precise PM2.5 ( μg/m3 ) concentration prediction may help reduce health concerns and provide early warnings. To better understand air pollution, a number of approaches have been presented for predicting PM2.5 concentrations. Previous research used deep learning models for hourly predictions of air pollutants due to their success in pattern recognition, however, these models were unsuitable for multisite, long-term predictions, particularly in regard to the correlation between pollutants and meteorological data. This article proposes the combine deep network (CombineDeepNet), which combines multiple deep networks, including a …
Actor-Centric Spatio-Temporal Feature Extraction For Action Recognition, Anil Kunchala, Bianca Schoen-Phelan, Mélanie Bouroche
Actor-Centric Spatio-Temporal Feature Extraction For Action Recognition, Anil Kunchala, Bianca Schoen-Phelan, Mélanie Bouroche
Conference papers
Action understanding involves the recognition and detection of specific actions within videos. This crucial task in computer vision gained significant attention due to its multitude of applications across various domains. The current action detection models, inspired by 2D object detection methods, employ two-stage architectures. The first stage is to extract actor-centric video sub-clips, i.e. tubelets of individuals, and the second stage is to classify these tubelets using action recognition networks. The majority of these recognition models utilize a frame-level pre-trained 3D Convolutional Neural Networks (3D CNN) to extract spatio-temporal features of a given tubelet. This, however, results in suboptimal spatio-temporal …
A Review On Nanomaterials And Nanohybrids Based Bio-Nanocomposites For Food Packaging, Kalpani Y. Perera, Amit K. Jaiswal, Swarna Jaiswal
A Review On Nanomaterials And Nanohybrids Based Bio-Nanocomposites For Food Packaging, Kalpani Y. Perera, Amit K. Jaiswal, Swarna Jaiswal
Articles
With an increasing demand for a novel, eco-friendly, high-performance packaging material “bio-nanocomposites” has attracted great attention in recent years. The review article aims at to evaluating recent innovation in bio-nanocomposites for food packaging applications. The current trends and research over the last three years of the various bio-nanocomposites including inorganic, organic nanomaterials, and nanohybrids, which are suitable as food packaging materials due to their advanced properties such as high mechanical, thermal, barrier, antimicrobial, and antioxidant are described in detail. In addition, the legislation, migration studies, and SWOT analysis on bio-nanocomposite film have been discussed. It has been observed that the …
Clove Essential Oil And Nanoclays-Based Active Food Packaging, Kalpani Y. Perera, Shubham Sharma, Amit K. Jaiswal, Swarna Jaiswal
Clove Essential Oil And Nanoclays-Based Active Food Packaging, Kalpani Y. Perera, Shubham Sharma, Amit K. Jaiswal, Swarna Jaiswal
Articles
Active food packaging materials enhance the shelf-life of food products while reducing food waste. The current study aims to develop a biodegradable active food packaging material. The food packaging material was developed with the incorporation of clove essential oil, sodium alginate, gelatin, and nanoclay films were prepared. The influences of nanoclay and clove on the surface, optical, mechanical, chemical, barrier, and pH-indicating properties were studied. The lightness and yellowness increased by 1.06 folds and 3.34 folds when compared to clove (control), respectively. The UV barrier property 0.08±0.01nm in all films, while 8.37 folds reduction in transparency has been observed as …
Nanoclays And Curcumin Based Food Packaging Material For Intelligent Food Packaging Applications, Kalpani Y. Perera, Swarna Jaiswal, Amit K. Jaiswal, Shubham Sharma
Nanoclays And Curcumin Based Food Packaging Material For Intelligent Food Packaging Applications, Kalpani Y. Perera, Swarna Jaiswal, Amit K. Jaiswal, Shubham Sharma
Articles
Bionanocomposite packaging eco-friendly alternatives with enhanced characteristics. This study aimed to develop a bionanocomposite intelligent packaging. Sodium alginate, gelatin, Curcumin (Cur), glycerol, and Nanoclay (NC) films were prepared. The influences of nanoclay and curcumin on the surface, optical, mechanical, chemical, barrier, and pH-indicating properties were studied. The results showed that the lightness of films was reduced by 1.28 folds compared to NC (control) film, while the yellowness of films increased by 5.82 folds. Film transparency was reduced by 9.3 folds and a 3.46 folds increase in UV barrier properties was observed compared to NC (control) film. The highest tensile strength …
Cold Plasma Technology In Food Packaging, Kalpani Y. Perera, Jack Prendeville, Amit K. Jaiswal, Swarna Jaiswal
Cold Plasma Technology In Food Packaging, Kalpani Y. Perera, Jack Prendeville, Amit K. Jaiswal, Swarna Jaiswal
Articles
Cold plasma (CP) is an effective strategy to alter the limitations of biopolymer materials for food packaging applications. Biopolymers such as polysaccharides and proteins are known to be sustainable materials with excellent film-forming properties. Bio-based films can be used as an alternative to traditional plastic packaging. There are limitations to biopolymer packaging materials such as hydrophobicity, poor barrier, and thermos-mechanical properties. For this reason, biopolymers must be modified to create a packaging material with the desired applicability. CP is an effective method to enhance the functionality and interfacial features of biopolymers. It etches the film surface allowing for better adhesion …
Profess 12: Project Report Pr1: The Global View On Skills Needed For Sustainability, Una Beagon, Margaret Morgan, Ruchita Jani, Brian Bowe
Profess 12: Project Report Pr1: The Global View On Skills Needed For Sustainability, Una Beagon, Margaret Morgan, Ruchita Jani, Brian Bowe
Reports
Engineers of the future must be technical experts, able to solve problems in an integrated way, a systems thinker, a holistic thinker, a critical thinker, someone who can work with diverse people in multidisciplinary teams. Excellent communication skills and being able to work across cultural boundaries are key components of the engineers toolbox. They must also have a good ethical conscience, grit, adaptability and the ability to challenge the status quo. Finally, the engineer of the future must have sustainability-friendly attitudes and values and a focus on social responsibility so that they can do their part to achieve the SDGs. …
An Exploration Of Recent Intelligent Image Analysis Techniques For Visual Pavement Surface Condition Assessment., Waqar Shahid Qureshi, Ibrahim Hassan Syed, Susan Mckeever, David Power, Brian Mulry, Kieran Feighan, Dympna O'Sullivan
An Exploration Of Recent Intelligent Image Analysis Techniques For Visual Pavement Surface Condition Assessment., Waqar Shahid Qureshi, Ibrahim Hassan Syed, Susan Mckeever, David Power, Brian Mulry, Kieran Feighan, Dympna O'Sullivan
Articles
Road pavement condition assessment is essential for maintenance, asset management, and budgeting for pavement infrastructure. Countries allocate a substantial annual budget to maintain and improve local, regional, and national highways. Pavement condition is assessed by measuring several pavement characteristics such as roughness, surface skid resistance, pavement strength, deflection, and visual surface distresses. Visual inspection identifies and quantifies surface distresses, and the condition is assessed using standard rating scales. This paper critically analyzes the research trends in the academic literature, professional practices and current commercial solutions for surface condition ratings by civil authorities. We observe that various surface condition rating systems …
The Smart Dementia Care Project, Dympna O'Sullivan, Jonathan Turner, Ciaran Nugent, Damon Berry, Michael Wilson, Julie Doyle
The Smart Dementia Care Project, Dympna O'Sullivan, Jonathan Turner, Ciaran Nugent, Damon Berry, Michael Wilson, Julie Doyle
Articles
No abstract provided.
Sodium Alginate, Nanoclay And Curcumin Based Food Packaging Material For Intelligent Food Packaging Applications, Kalpani Y. Perera, Máille Hopkins, Shubham Sharma, Brendan Duffy, Amit K. Jaiswal, Swarna Jaiswal
Sodium Alginate, Nanoclay And Curcumin Based Food Packaging Material For Intelligent Food Packaging Applications, Kalpani Y. Perera, Máille Hopkins, Shubham Sharma, Brendan Duffy, Amit K. Jaiswal, Swarna Jaiswal
Articles
Bionanocomposite food packaging contains materials of biological origin which display high-performance activity when compared to biopolymers and are eco-friendly alternatives to conventional packaging materials. Intelligent packaging monitors the condition of the food or environment surrounding the food and communicates changes to the consumer. This study aimed to develop a bionanocomposite intelligent packaging material by utilising sodium alginate, nanoclay and curcumin. Sodium alginate (2 W/V% SA) film incorporated with 0.3 W/V% curcumin (Cur), glycerol, and nanoclay (NC) in various concentrations (0, 0.5, 1 and 2 W/V %) was prepared using the solvent casting method. The influences of nanoclay and curcumin on …
Biodegradable Active Bio-Nanocomposite Film For The Enhanced Shelf Life Of Tomatoes, Kalpani Y. Perera, Shubham Sharma, Brendan Duffy, Amit K. Jaiswal, Swarna Jaiswal
Biodegradable Active Bio-Nanocomposite Film For The Enhanced Shelf Life Of Tomatoes, Kalpani Y. Perera, Shubham Sharma, Brendan Duffy, Amit K. Jaiswal, Swarna Jaiswal
Articles
The increased environmental pollution has led to finding sustainable solutions for non-renewable plastic-based food packaging materials. Thus, the use of biomaterial-based packaging material has become an immense trend. This work aims at developing an antimicrobial biodegradable chitosanalginate bio-nano composite film with TiO2 nanoparticle (NPs) for food packaging applications. The film was developed by a solution casting method. The chemical, mechanical, thermal, barrier, antimicrobial, and biodegradable properties of the packaging films were evaluated. Packaging studies were performed for 15 days for cherry tomatoes. The designed packaging material had enhanced the mechanical properties with a significantly (p < 0.05) higher tensile strength of 15.76 folds and 2 fold higher elongation at break. The UV barrier properties increased by 88.6%, while the film transparency decreased by 87.23%. Molecular interaction of N-H covalent bonds was observed between alginate and chitosan together with TiO2 NPs. The developed bio-nano composite film showed antimicrobial activity against foodborne pathogens E. coli, S. aureus, S. typhi, and L. monocytogene with a log reduction of 7.08, 7.28, 6.04 & 6.02 log CFU/ml respectively at 24 hours incubation period. The film was completely biodegraded and a weight loss of 89.06% was observed in bio-nanocomposite film during the 3 months. Shelf-life estimation of cherry tomato using developed packaging films showed an increase in the shelf-life up to 8 days with stable pH, total soluble solids, and weight with no bacterial growth when packaged with prepared film. Owing to their improved mechanical, UV barrier, antibacterial, and biodegradability, the prepared active bio-nano composite packaging films could be considered a potential candidate for fruit packaging.
Building Services Engineering November/December 2022
Building Services Engineering November/December 2022
Building Services Engineering
No abstract provided.
Advances In 3d Culture Systems For Therapeutic Discovery And Development In Brain Cancer, Janith Wanigasekara, Patrick J. Cullen, Paula Bourke, Brijesh Tiwari, James F. Curtin
Advances In 3d Culture Systems For Therapeutic Discovery And Development In Brain Cancer, Janith Wanigasekara, Patrick J. Cullen, Paula Bourke, Brijesh Tiwari, James F. Curtin
Articles
This review focuses on recent advances in 3D culture systems that promise more accurate therapeutic models of the glioblastoma multiforme (GBM) tumor microenvironment (TME), such as the unique anatomical, cellular, and molecular features evident in human GBM. The key components of a GBM TME are outlined, including microbiomes, vasculature, extracellular matrix (ECM), infiltrating parenchymal and peripheral immune cells and molecules, and chemical gradients. 3D culture systems are evaluated against 2D culture systems and in vivo animal models. The main 3D culture techniques available are compared, with an emphasis on identifying key gaps in knowledge for the development of suitable platforms …
Monitoring Activities Of Daily Living For Maintaining Independent Living In Dementia, Jonathan Turner, Ciaran Nugent, Damon Berry, Dympna O'Sullivan, Michael Wilson, Julie Doyle
Monitoring Activities Of Daily Living For Maintaining Independent Living In Dementia, Jonathan Turner, Ciaran Nugent, Damon Berry, Dympna O'Sullivan, Michael Wilson, Julie Doyle
Articles
Our ability to live independent meaningful lives depends on our ability to perform various activities and to maintain our cognitive functions. Maintaining independent living is important for persons with dementia, it increases selfworth and allows to remain independent and in their own homes for longer. We describe the activities established as being important for the maintenance of independent living, and methods for monitoring these activities using technology.
An Active Biodegradable Layer-By-Layer Film Based On Chitosan-Alginate-Tio2 For The Enhanced Shelf Life Of Tomatoes, Kalpani Y. Perera, Shubham Sharma, Brendan Duffy, Shiviani Pathania, Amit K. Jaiswal, Swarma Jaiswal
An Active Biodegradable Layer-By-Layer Film Based On Chitosan-Alginate-Tio2 For The Enhanced Shelf Life Of Tomatoes, Kalpani Y. Perera, Shubham Sharma, Brendan Duffy, Shiviani Pathania, Amit K. Jaiswal, Swarma Jaiswal
Articles
This work aims at developing biodegradable active chitosan-alginate layer-by-layer bio-nanocomposite film with TiO2NPs using the solvent casting method followed by CaCl2 crosslinking for food packaging applications. The developed films enhanced the tensile strength and elongation at break by 14.76 and 2 folds (p < 0.05) respectively. The UV barrier properties of CH-SA-0.3%TiO2 film increased by 88.6%, while the film transparency decreased by 87.23%. All films showed antimicrobial activity against foodborne pathogens E. coli, S. aureus, S. typhi, and L. monocytogene. The film with 0.1%TiO2 showed the complete killing of gram-positive bacteria. The CH-SA-0.1%TiO2 film was completely biodegraded during the …
Calorific Value Calculation For Natural Gas -Hydrogen Blend, Utkarsha Chavan
Calorific Value Calculation For Natural Gas -Hydrogen Blend, Utkarsha Chavan
Other resources
This is a sample calculation for the natural gas -hydrogen blend for two different gas samples. The composition of two natural gas samples is provided in two sheets. The calorific value is calculated for a blend with a molar composition of hydrogen varying from 0 to 20%. Along with calorific value (MJ/m3), Wobbe index (MJ/m3) and specific gravity are also calculated.
Comparing The Measured And Thermodynamically Predicted Afm Phases In A Hydrating Cement, Niall Holmes Dr., Mark Russell, Geoff Davis, Mark Tyrer
Comparing The Measured And Thermodynamically Predicted Afm Phases In A Hydrating Cement, Niall Holmes Dr., Mark Russell, Geoff Davis, Mark Tyrer
Articles
In hydrating Portland cements, more than one of the AFm family of calcium aluminates may exist. Depending on the amount of carbonate and sulfate present in the cement, the most common phase to precipitate is monosulfate, monocarbonate and/or hemicarbonate. It has been reported in the literature that hemicarbonate often appears in measurements such as XRD but not predicted to form/equilibrate in thermodynamic models. With the ongoing use of commercial cements such as CEM I and CEM II containing more and more limestone, it is important to understand which hydrate solids physically precipitate and numerically predict over time. Using 27 cement …
Employing Discrete Solid Phases To Represent C-S-H Solid Solutions In The Cemdata07 Thermodynamic Database To Model Cement Hydration Using The Phreeqc Geochemical Software, Niall Holmes Dr., Mark Tyrer, Denis Kelliher
Employing Discrete Solid Phases To Represent C-S-H Solid Solutions In The Cemdata07 Thermodynamic Database To Model Cement Hydration Using The Phreeqc Geochemical Software, Niall Holmes Dr., Mark Tyrer, Denis Kelliher
Articles
This paper presents a cement hydration model over time using the cemdata07 thermodynamic database and a series of derived discrete solid phases (DSPs) to represent calcium silicate hydrate (C-S-H) as a binary solid solution with two end-members. C-S-H in cement is amorphous and poorly crystalline with a range of molar Ca/Si ratios from 0.6 to 1.7. It displays strongly incongruent dissolution behaviour, where the release of calcium into solution is several orders of magnitude greater than silicon. It is, therefore, important that any cement hydration model provides a credible account of this behaviour. C-S-H has been described in the cemdata07 …
Using Satellite Images Datasets For Road Intersection Detection In Route Planning, Fatmaelzahraa Eltaher, Ayman Taha, Jane Courtney, Susan Mckeever
Using Satellite Images Datasets For Road Intersection Detection In Route Planning, Fatmaelzahraa Eltaher, Ayman Taha, Jane Courtney, Susan Mckeever
Articles
Understanding road networks plays an important role in navigation applications such as self-driving vehicles and route planning for individual journeys. Intersections of roads are essential components of road networks. Understanding the features of an intersection, from a simple T-junction to larger multi-road junctions is critical to decisions such as crossing roads or selecting safest routes. The identification and profiling of intersections from satellite images is a challenging task. While deep learning approaches offer state-of-the-art in image classification and detection, the availability of training datasets is a bottleneck in this approach. In this paper, a labelled satellite image dataset for the …