Nano mechanics, geo-materials, Nano scale friction, governing equations, macro-Nano behavior of geomaterials, factors affecting Nano scale friction, behavior of soil at Nano scale, scale effect, Micro-Nano transition for frictional forces, review paper, best paper award, best paper presenter award, at PP Savani University, Kosamba, Surat.
Nano mechanics, geo-materials, Nano scale friction, governing equations, macro-Nano behavior of geomaterials, factors affecting Nano scale friction, behavior of soil at Nano scale, scale effect, Micro-Nano transition for frictional forces, review paper, best paper award, best paper presenter award, at PP Savani University, Kosamba, Surat.
In this paper, a developed three-dimensional Molecular Dynamics (MD) model for AFM-based
nanomachining is applied to study mechanical indentation and scratching at the nanoscale. The
correlation between the machining conditions, including applied force, depth, tip speed, and
defect mechanism in substrate/workpiece is investigeted. The simulations of nanoscratching
process are performed on different crystal orientations of single-crystal gold substrate, Au(100),
Au(110), and Au(111). The material deformation and deformed geometry are extracted from the
final locations of atoms, which are displaced by the rigid indenter. The simulation also allows
for the prediction of forces at the interface between the indenter and substrate. Material
properties including modulus of elasticity and hardness are estimated. It is found that properties
vary significantly at the nanoscale. In addition to the modeling, an AFM is used to conduct
actual indentation and scratching at the nanoscale, and provide measurements to which the MD
simulation predictions are compared. Due to computational time limitation, the predicted forces
obtained from MD simulation only compares well qualitatively with the experimental results.
Nano mechanics, geo-materials, Nano scale friction, governing equations, macro-Nano behavior of geomaterials, factors affecting Nano scale friction, behavior of soil at Nano scale, scale effect, Micro-Nano transition for frictional forces, review paper, best paper award, best paper presenter award, at PP Savani University, Kosamba, Surat.
In this paper, a developed three-dimensional Molecular Dynamics (MD) model for AFM-based
nanomachining is applied to study mechanical indentation and scratching at the nanoscale. The
correlation between the machining conditions, including applied force, depth, tip speed, and
defect mechanism in substrate/workpiece is investigeted. The simulations of nanoscratching
process are performed on different crystal orientations of single-crystal gold substrate, Au(100),
Au(110), and Au(111). The material deformation and deformed geometry are extracted from the
final locations of atoms, which are displaced by the rigid indenter. The simulation also allows
for the prediction of forces at the interface between the indenter and substrate. Material
properties including modulus of elasticity and hardness are estimated. It is found that properties
vary significantly at the nanoscale. In addition to the modeling, an AFM is used to conduct
actual indentation and scratching at the nanoscale, and provide measurements to which the MD
simulation predictions are compared. Due to computational time limitation, the predicted forces
obtained from MD simulation only compares well qualitatively with the experimental results.
Design of a Predictive Model of Rock Breakage by Blasting Using Artificial Ne...Roberth Prz
Over the years, various models have been developed in the stages of the mining process that have allowed predicting and enhancing results, but it is the breakage, the variable that connects all the activities of the mining process from the point of view of costs (drilling, blasting, loading, hauling, crushing and grinding). To improve this process, we have designed and developed a computational model based on an Artificial Neural Network (ANN), the same that was built using the most representative variables such as the properties of explosives, the geomechanical parameters of the rock mass, and the design parameters of drill-blasting. For the training and validation of the model, we have taken the data from a copper mine as reference located in the north of Chile. The ANN architecture was of the supervised type containing: an input layer, a hidden layer with 13 neurons and an output layer that includes the sigmoid activation function with symmetrical properties for optimal model convergence. The ANN model was fed-back in its learning with training data until it becomes perfected, and due to the experimental results obtained, it is a valid prediction option that can be used in future blasting of ore deposits with similar characteristics using the same representative variables considered. Therefore, it constitutes a valid alternative for predicting rock breakage, given that it has been experimentally validated, with moderately reliable results, providing higher correlation coefficients than traditional models used, and with the additional advantage that an ANN model provides, due to its ability to learn and recognize collected data patterns. In this way, using this computer model we can obtain satisfactory results that allow us to predict breakage in similar scenarios, providing an alternative for evaluating the costs that this entails as a contribution to the work
A new proposed approach for moment capacity estimation of ferrocement members...Pouyan Fakharian
Ferrocement composites are widely used as a novel method for many different structural purposes recently. The uniform distribution and the high surface area-to-volume ratio of the reinforcement of such composites would improve the crack-arresting mechanism. Given these properties, ferrocement is an ideal option as a replacement for some traditional structures methods. In members with axially loaded reinforced concrete ferrocement composite, it would be the best alternative to use ferrocement members. Lack of sufficient research in this approach is the cause of not well defining this field for RC structures. This study has aimed to evaluate the moment capacity of ferrocement members using the GMDH method. Mechanical and geometrical parameters including the width of specimens, total depth specimens, compressive strength of ferrocement, ultimate strength of wire mesh and volume fraction of wire mesh are considered as inputs to predict the moment capacity of ferrocement members. For evaluating this model, mean absolute error (MAE), root mean absolute error (RMAE), normalized root mean square error (NRMSE) and mean absolute percentage error (MAPE) were carried out. The results conducted that the GMDH model is significantly better than some previous models and comparable to some other methods. Moreover, a new formulation for moment capacity of ferrocement members based on GMDH approach is presented. Finally, Sensitivity analysis is operated to understand the influence of each input parameters on moment capacity of ferrocement members.
Multiscale Modeling Approach for Prediction the Elastic Modulus of Percolated...ijtsrd
In this study the effective elastic modulus of cellulose nanocrystal CNC network is evaluated using multiscale method and micromechanical analysis. For this purpose, the elastic modulus of CNC water phases are randomly assigned to a two dimensional 2D checkerboard structure and the elastic response is evaluated. In addition, the effect of having a different number of phases CNC, water and interface is evaluated by assigning a discreet and continuous distribution of elastic modulus to checkerboard structure. When the number of phases increases dramatically, the distribution of phases is continuous and is defined with Weibull distribution. The results show that for two phase materials CNC and water when the microstructure has organized pattern the rule of the mixture and numerical model provide the same effective modulus, however when the microstructure is completely random, the self consistent micromechanical model should be used. Also, this study suggests 50 volume fraction as the percolation threshold for the CNC network with 10 GPa effective elastic modulus. The results from percolated multiphase network reveal that for microstructures with 4 phases and above, the percolated network converge to 35 GPa. Mehrdad Bor | Jim Huang "Multiscale Modeling Approach for Prediction the Elastic Modulus of Percolated Cellulose Nanocrystal (CNC) Network" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd26553.pdfPaper URL: https://www.ijtsrd.com/engineering/mechanical-engineering/26553/multiscale-modeling-approach-for-prediction-the-elastic-modulus-of-percolated-cellulose-nanocrystal-cnc-network/mehrdad-bor
State of the Art in the Characterization of Nano- and Atomic-Scale CatalystsDevika Laishram
Nanometer and subnanometer particles and films are becoming an essential and
integral part of new technologies and inventions in different areas. Some of the
most common areas include the microelectronic industry, magnetic recordings,
photovoltaic applications, and optical coatings. Because of the ultrasmall size at
atomic levels, the effect of quantum size becomes prominent, and the sensitivity
of size is defined even by a difference of a single atom. Additionally, the effect
is of utmost importance as the single-atom catalysts are far more advantageous
than conventional catalysts as they tend to anchor easily because of their low
coordination. Also, the presence of a single-atom catalyst in reactions creates
efficient charge transfer as it forms a strong interaction with the support.
Furthermore, catalysts in the subnanometer regime exhibit different electronic
states and adsorption capabilities compared to traditional catalysts. Therefore, to
fully appreciate the subnanometer catalysis reactions, it is essential to study the
means of characterizing the prepared subnano catalysts,
Shear Strength Prediction of Reinforced Concrete Shear Wall Using ANN, GMDH-N...Pouyan Fakharian
To provide lateral resistance in structures as well as buildings, there are some types of structural systems such as shear walls. The utilization of lateral loads occurs on a plate on the wall's vertical dimension. Conventionally, these sorts of loads are transferred to the wall collectors. There is a significant resistance between concrete shear walls and lateral seismic loading. To guarantee the building's seismic security, the shear strength of the walls has to be prognosticated by using models. This paper aims to predict shear strength by using Artificial Neural Network (ANN), Neural Network-Based Group Method of Data Handling (GMDH-NN), and Gene Expression Programming (GEP). The concrete's compressive strength, the yield strength of transverse reinforcement, the yield strength of vertical reinforcement, the axial load, the aspect ratio of the dimensions, the wall length, the thickness of the reinforced concrete shear wall, the transverse reinforcement ratio, and the vertical reinforcement ratio are the input parameters for the neural network model. And the shear strength of the reinforced concrete shear wall is considered as the target parameter of the ANN model. The results validate the capability of the models predicted by ANN, GMDH-NN, and GEP, which are suitable for use as a tool for predicting the shear strength of concrete shear walls with high accuracy.
TRANSIENT ANALYSIS OF PIEZOLAMINATED COMPOSITE PLATES USING HSDTP singh
Piezoelectric materials have excellent sensing and actuating capabilities have made them the most practical smart materials to integrate with laminated structures. Integrated structure system can be called a smart structure because of its ability to perform self-diagnosis and quick adaption to environment changes. An analytical procedure has been developed in the work based on higher order shear deformation theory subjected to electromechanical loading for investigating transient characteristics of smart material plates. For analysis two displacement models are to be considered i.e., model-1 accounts for strain in thickness direction is zero whereas in model-2 in-plane displacements are expanded as cubic functions of the thickness coordinate. Navier’s technique has been adopted for obtaining solutions of anti-symmetric cross–ply and angle-ply laminates of both model-1 and model-2 with simply supported boundary conditions. For obtaining transient response of a laminated composite plate attached with piezoelectric layer Newmark’s method has been used. Effect of thickness coordinate of composite laminated plates attached with piezoelectric layer subjected to electromechanical loadings is studied.
Molecular dynamics modelling of projectile impacts on 2D graphene nanosheetsChristian Douglas
Final Year Thesis Dissertation by Christian Douglas.
Thesis Supervisors: Dr Yuantong Gu & Edmund Pickering
This report provides project documentation on the simulation and analysis of projectile impacts on graphene nanosheets for applications in water desalination and next-generation ballistic armour.
Molecular dynamics techniques were employed using LAMMPS, Virtual Nanolab and Ovito visualisation software to successfully produce a realistic, functioning molecular dynamics simulation of a diamond projectile impacting pristine, defective and nanoporous graphene sheets.
During the last decades a large effort has been invested in the development of a new
discipline devoted to benefit from optical excitations in materials where metals are
key element (Plasmonics). We will make an introduction on this topic below, but let’s
anticipate that two application areas are sensing and information technologies.
The following height extended abstracts, presented during the one-day NANOMAGMA
Symposium (Bilbao, Spain – April 13, 2011 reflects some of the latest developments on magneto-plasmonics.
In 2010 and 2011, the nanoICT project (EU/ICT/FET Coordination Action) launched
two calls for exchange visits for PhD students with the following main objectives: 1.
To perform joint work or to be trained in the leading European industrial and academic research institutions; 2. To enhance long-term collaborations within the ERA; 3. To
generate high-skilled personnel and to facilitate technology transfer;
The first outcome report was published in the issue 22 (August 2011) and this edition
contains four new articles providing insights in relevant fi elds for nanoICT.
We would like to thank all the authors who contributed to this issue as well as the European Commission for the financial support (projects nanoICT No. 216165 and NANOMAGMA No. FP7-214107-2).
Dr. Antonio Correia Editor - Phantoms Foundation
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is a team of researchers not publication services or private publications running the journals for monetary benefits, we are association of scientists and academia who focus only on supporting authors who want to publish their work. The articles published in our journal can be accessed online, all the articles will be archived for real time access.
Our journal system primarily aims to bring out the research talent and the works done by sciaentists, academia, engineers, practitioners, scholars, post graduate students of engineering and science. This journal aims to cover the scientific research in a broader sense and not publishing a niche area of research facilitating researchers from various verticals to publish their papers. It is also aimed to provide a platform for the researchers to publish in a shorter of time, enabling them to continue further All articles published are freely available to scientific researchers in the Government agencies,educators and the general public. We are taking serious efforts to promote our journal across the globe in various ways, we are sure that our journal will act as a scientific platform for all researchers to publish their works online.
When to be silent?;
Circumstances to remain silent;
Situations to be silent;
Silent at some points;
Silent in a few circumstances;
time to remain silent;
remain silent in these situations; a guide to remain silent against whom and when?
Design of a Predictive Model of Rock Breakage by Blasting Using Artificial Ne...Roberth Prz
Over the years, various models have been developed in the stages of the mining process that have allowed predicting and enhancing results, but it is the breakage, the variable that connects all the activities of the mining process from the point of view of costs (drilling, blasting, loading, hauling, crushing and grinding). To improve this process, we have designed and developed a computational model based on an Artificial Neural Network (ANN), the same that was built using the most representative variables such as the properties of explosives, the geomechanical parameters of the rock mass, and the design parameters of drill-blasting. For the training and validation of the model, we have taken the data from a copper mine as reference located in the north of Chile. The ANN architecture was of the supervised type containing: an input layer, a hidden layer with 13 neurons and an output layer that includes the sigmoid activation function with symmetrical properties for optimal model convergence. The ANN model was fed-back in its learning with training data until it becomes perfected, and due to the experimental results obtained, it is a valid prediction option that can be used in future blasting of ore deposits with similar characteristics using the same representative variables considered. Therefore, it constitutes a valid alternative for predicting rock breakage, given that it has been experimentally validated, with moderately reliable results, providing higher correlation coefficients than traditional models used, and with the additional advantage that an ANN model provides, due to its ability to learn and recognize collected data patterns. In this way, using this computer model we can obtain satisfactory results that allow us to predict breakage in similar scenarios, providing an alternative for evaluating the costs that this entails as a contribution to the work
A new proposed approach for moment capacity estimation of ferrocement members...Pouyan Fakharian
Ferrocement composites are widely used as a novel method for many different structural purposes recently. The uniform distribution and the high surface area-to-volume ratio of the reinforcement of such composites would improve the crack-arresting mechanism. Given these properties, ferrocement is an ideal option as a replacement for some traditional structures methods. In members with axially loaded reinforced concrete ferrocement composite, it would be the best alternative to use ferrocement members. Lack of sufficient research in this approach is the cause of not well defining this field for RC structures. This study has aimed to evaluate the moment capacity of ferrocement members using the GMDH method. Mechanical and geometrical parameters including the width of specimens, total depth specimens, compressive strength of ferrocement, ultimate strength of wire mesh and volume fraction of wire mesh are considered as inputs to predict the moment capacity of ferrocement members. For evaluating this model, mean absolute error (MAE), root mean absolute error (RMAE), normalized root mean square error (NRMSE) and mean absolute percentage error (MAPE) were carried out. The results conducted that the GMDH model is significantly better than some previous models and comparable to some other methods. Moreover, a new formulation for moment capacity of ferrocement members based on GMDH approach is presented. Finally, Sensitivity analysis is operated to understand the influence of each input parameters on moment capacity of ferrocement members.
Multiscale Modeling Approach for Prediction the Elastic Modulus of Percolated...ijtsrd
In this study the effective elastic modulus of cellulose nanocrystal CNC network is evaluated using multiscale method and micromechanical analysis. For this purpose, the elastic modulus of CNC water phases are randomly assigned to a two dimensional 2D checkerboard structure and the elastic response is evaluated. In addition, the effect of having a different number of phases CNC, water and interface is evaluated by assigning a discreet and continuous distribution of elastic modulus to checkerboard structure. When the number of phases increases dramatically, the distribution of phases is continuous and is defined with Weibull distribution. The results show that for two phase materials CNC and water when the microstructure has organized pattern the rule of the mixture and numerical model provide the same effective modulus, however when the microstructure is completely random, the self consistent micromechanical model should be used. Also, this study suggests 50 volume fraction as the percolation threshold for the CNC network with 10 GPa effective elastic modulus. The results from percolated multiphase network reveal that for microstructures with 4 phases and above, the percolated network converge to 35 GPa. Mehrdad Bor | Jim Huang "Multiscale Modeling Approach for Prediction the Elastic Modulus of Percolated Cellulose Nanocrystal (CNC) Network" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd26553.pdfPaper URL: https://www.ijtsrd.com/engineering/mechanical-engineering/26553/multiscale-modeling-approach-for-prediction-the-elastic-modulus-of-percolated-cellulose-nanocrystal-cnc-network/mehrdad-bor
State of the Art in the Characterization of Nano- and Atomic-Scale CatalystsDevika Laishram
Nanometer and subnanometer particles and films are becoming an essential and
integral part of new technologies and inventions in different areas. Some of the
most common areas include the microelectronic industry, magnetic recordings,
photovoltaic applications, and optical coatings. Because of the ultrasmall size at
atomic levels, the effect of quantum size becomes prominent, and the sensitivity
of size is defined even by a difference of a single atom. Additionally, the effect
is of utmost importance as the single-atom catalysts are far more advantageous
than conventional catalysts as they tend to anchor easily because of their low
coordination. Also, the presence of a single-atom catalyst in reactions creates
efficient charge transfer as it forms a strong interaction with the support.
Furthermore, catalysts in the subnanometer regime exhibit different electronic
states and adsorption capabilities compared to traditional catalysts. Therefore, to
fully appreciate the subnanometer catalysis reactions, it is essential to study the
means of characterizing the prepared subnano catalysts,
Shear Strength Prediction of Reinforced Concrete Shear Wall Using ANN, GMDH-N...Pouyan Fakharian
To provide lateral resistance in structures as well as buildings, there are some types of structural systems such as shear walls. The utilization of lateral loads occurs on a plate on the wall's vertical dimension. Conventionally, these sorts of loads are transferred to the wall collectors. There is a significant resistance between concrete shear walls and lateral seismic loading. To guarantee the building's seismic security, the shear strength of the walls has to be prognosticated by using models. This paper aims to predict shear strength by using Artificial Neural Network (ANN), Neural Network-Based Group Method of Data Handling (GMDH-NN), and Gene Expression Programming (GEP). The concrete's compressive strength, the yield strength of transverse reinforcement, the yield strength of vertical reinforcement, the axial load, the aspect ratio of the dimensions, the wall length, the thickness of the reinforced concrete shear wall, the transverse reinforcement ratio, and the vertical reinforcement ratio are the input parameters for the neural network model. And the shear strength of the reinforced concrete shear wall is considered as the target parameter of the ANN model. The results validate the capability of the models predicted by ANN, GMDH-NN, and GEP, which are suitable for use as a tool for predicting the shear strength of concrete shear walls with high accuracy.
TRANSIENT ANALYSIS OF PIEZOLAMINATED COMPOSITE PLATES USING HSDTP singh
Piezoelectric materials have excellent sensing and actuating capabilities have made them the most practical smart materials to integrate with laminated structures. Integrated structure system can be called a smart structure because of its ability to perform self-diagnosis and quick adaption to environment changes. An analytical procedure has been developed in the work based on higher order shear deformation theory subjected to electromechanical loading for investigating transient characteristics of smart material plates. For analysis two displacement models are to be considered i.e., model-1 accounts for strain in thickness direction is zero whereas in model-2 in-plane displacements are expanded as cubic functions of the thickness coordinate. Navier’s technique has been adopted for obtaining solutions of anti-symmetric cross–ply and angle-ply laminates of both model-1 and model-2 with simply supported boundary conditions. For obtaining transient response of a laminated composite plate attached with piezoelectric layer Newmark’s method has been used. Effect of thickness coordinate of composite laminated plates attached with piezoelectric layer subjected to electromechanical loadings is studied.
Molecular dynamics modelling of projectile impacts on 2D graphene nanosheetsChristian Douglas
Final Year Thesis Dissertation by Christian Douglas.
Thesis Supervisors: Dr Yuantong Gu & Edmund Pickering
This report provides project documentation on the simulation and analysis of projectile impacts on graphene nanosheets for applications in water desalination and next-generation ballistic armour.
Molecular dynamics techniques were employed using LAMMPS, Virtual Nanolab and Ovito visualisation software to successfully produce a realistic, functioning molecular dynamics simulation of a diamond projectile impacting pristine, defective and nanoporous graphene sheets.
During the last decades a large effort has been invested in the development of a new
discipline devoted to benefit from optical excitations in materials where metals are
key element (Plasmonics). We will make an introduction on this topic below, but let’s
anticipate that two application areas are sensing and information technologies.
The following height extended abstracts, presented during the one-day NANOMAGMA
Symposium (Bilbao, Spain – April 13, 2011 reflects some of the latest developments on magneto-plasmonics.
In 2010 and 2011, the nanoICT project (EU/ICT/FET Coordination Action) launched
two calls for exchange visits for PhD students with the following main objectives: 1.
To perform joint work or to be trained in the leading European industrial and academic research institutions; 2. To enhance long-term collaborations within the ERA; 3. To
generate high-skilled personnel and to facilitate technology transfer;
The first outcome report was published in the issue 22 (August 2011) and this edition
contains four new articles providing insights in relevant fi elds for nanoICT.
We would like to thank all the authors who contributed to this issue as well as the European Commission for the financial support (projects nanoICT No. 216165 and NANOMAGMA No. FP7-214107-2).
Dr. Antonio Correia Editor - Phantoms Foundation
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is a team of researchers not publication services or private publications running the journals for monetary benefits, we are association of scientists and academia who focus only on supporting authors who want to publish their work. The articles published in our journal can be accessed online, all the articles will be archived for real time access.
Our journal system primarily aims to bring out the research talent and the works done by sciaentists, academia, engineers, practitioners, scholars, post graduate students of engineering and science. This journal aims to cover the scientific research in a broader sense and not publishing a niche area of research facilitating researchers from various verticals to publish their papers. It is also aimed to provide a platform for the researchers to publish in a shorter of time, enabling them to continue further All articles published are freely available to scientific researchers in the Government agencies,educators and the general public. We are taking serious efforts to promote our journal across the globe in various ways, we are sure that our journal will act as a scientific platform for all researchers to publish their works online.
When to be silent?;
Circumstances to remain silent;
Situations to be silent;
Silent at some points;
Silent in a few circumstances;
time to remain silent;
remain silent in these situations; a guide to remain silent against whom and when?
Spiritual;
Social;
Hinduism;
Know Hinduism;
What is Hinduism?;
Sanatana Dharma;
Why sanatana Dharma?;
What is special in Sanatana Dharma?;
Special @ Sanatana Dharma;
Why adopt Hinduism?;
Why adopt Sanatana Dharma? ;
Philosophy of Sanatana Dharma;
Philosophy of life;
Effect of gradation of sands;
Particle size effect on DCP;
Relative density of sand;
ASTM D6951-03;
Depth of penetration vs blows;
DCP vs Relative density;
DCP index vs gradation of sand;
Experimental Investigation;
Conference paper;
year 2017; Effect of Gradation and Particle Size on
Correlations between DCP Index and Relative density of sands
Presiding duty for the 2024 election;
Key Points;
Points to take care of: Presiding officer;
Presiding Key Points;
Things to carry- for officers:
Presiding officer duty list;
Gujarati presiding officer duty;
All instructions and flow chart in Gujarati,
Gujarati: presiding officer Key Points;
Indian Traditional jewelry;
pre-independence era jewelry design;
Indian ornament design;
100-year-old Indian jewelry
Usefulness of ancient indian Jwelry design;
One more chance
Philosophy of life;
How conscious we?
For conscious human beings only,
way of life; Live your life;
Enjoy being human being;
What happens when we are dead?
What do we achieve in life?
Pre-Independence Toys and Crafts designs in India.pptxSamirsinh Parmar
Pre-independence toys;
Crafts and Toys of India;
Toys and Crafts before 1947 In india;
Toys and crafts in India;
Traditional toys of India
Traditional wooden toys in India;
Traditional clay toys of India;
Traditional metal toys of India;
INTRODUCTION TO GLOBAL POSITIONING SYSTEM (GPS).pptxSamirsinh Parmar
What is GPS?;
Definition of GPS;
GPS;
Global Positioning System;
How GPS works?;
Working principle-GPS;
One way ranging;
Determining the position;
The clock problem;
PRC amplification;
Pseudo-range;
Different types of GPS locations;
NAVSTAR System;
Accuracy of GPS;
Applications of GPS; Advantages of One-Way Ranging; Pseudo Random Code;
PRC;
BEAUTY OF MATHEMATICS- Tricks of Calculations.pptxSamirsinh Parmar
The beauty of mathematics
Mathematics thumb rules;
Tricks in mathematics;
Easy math calculations
Vedic Mathematics;
Joy of numbers in Math;
Enjoying tricks in Math; mathematics, and English aplhabets; relation of attitude, hardwork, blessings of God, etc.
TIBETIAN PERSONALITY TEST - FEW QUESTION ANSWERSSamirsinh Parmar
Tibetian personality test;
Know your personality;
Know your preferences in life;
Know to whom you love;
Questions and Answers;
Spare some time; Share it to your near and dear; Know who loves you?
The Endangered And Extinct Languages Of India.pptxSamirsinh Parmar
The Endangered Languages;
Indian Languages- Extinction;
Maithili;
Magadhi;
Bhojpuri;
Extincted Languages of India;
Reasons of Extinction of Languages;
How to save languages from extinction ?;
Contribution to stop extinction of languages;
UNESCO report on extinct languages
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Nano scale friction paper - ID No- ICAIIE00093-1.pdf
1. International Conference on Academic & Industrial Innovations
P P Savani University (PPSU), Surat, India [August 12-13, 2023], PAPER ID: ICAIIE00093
Nano-Geo-Mechanics: Challenges to calculate friction for
Geomaterials
Samirsinh P Parmara
, Atindra D Shuklab
a
Dharmsinh Desai University,Nadiad-387001, India.
b
Director, SSNT-Dharmsinh Desai University, Nadiad-387001, India.
Abstract
Geotechnical engineering has conventionally emphasized macro-scale phenomena in soil and rock mechanics.
Nonetheless, the latest progress in nanotechnology has unlocked fresh opportunities to investigate the behavior
of geomaterials at the nanoscale. This emerging field, known as nano-geo-mechanics, holds great promise for
enhancing our understanding of fundamental geotechnical processes and developing innovative solutions for
geotechnical engineering challenges.
This paper provides an overview of the challenges associated with the application of nano-geo-mechanics in
geotechnical engineering. It discusses the scale dependence of friction in geomaterials, highlighting the complex
interplay of surface roughness, interfacial interactions, and atomic rearrangements. The computational
complexity associated with atomistic simulations, such as molecular dynamics, is also addressed, considering
the large number of atoms present in geomaterials and the need to simulate their behavior over relevant time and
length scales. To address these challenges, a comprehensive understanding of nano-geo-mechanics requires a
multidisciplinary approach that combines experimental investigations, advanced characterization techniques,
theoretical models, and computational simulations. Continuous research endeavors seek to create precise
predictive models for nano friction in geomaterials, enhancing our comprehension of essential geotechnical
processes and laying the groundwork for groundbreaking applications in geotechnical engineering. This article
underscores the significance of nano-geomechanics in geotechnical engineering and serves as a valuable
reference for researchers and practitioners keen on exploring the opportunities and obstacles in this emerging
domain. By addressing these challenges, nano-geo-mechanics has the potential to revolutionize geotechnical
engineering, leading to more sustainable and efficient geotechnical solutions.
Keywords: Nano mechanics, geo-materials, nano scale friction, governing equations,
macro-nano behavior of geomaterials.
![International Conference on Academic & Industrial Innovations
P P Savani University (PPSU), Surat, India [August 12-13, 2023], PAPER ID: ICAIIE00093
Nano-Geo-Mechanics: Challenges to calculate friction for
Geomaterials
Samirsinh P Parmara
, Atindra D Shuklab
a
Dharmsinh Desai University,Nadiad-387001, India.
b
Director, SSNT-Dharmsinh Desai University, Nadiad-387001, India.
Abstract
Geotechnical engineering has conventionally emphasized macro-scale phenomena in soil and rock mechanics.
Nonetheless, the latest progress in nanotechnology has unlocked fresh opportunities to investigate the behavior
of geomaterials at the nanoscale. This emerging field, known as nano-geo-mechanics, holds great promise for
enhancing our understanding of fundamental geotechnical processes and developing innovative solutions for
geotechnical engineering challenges.
This paper provides an overview of the challenges associated with the application of nano-geo-mechanics in
geotechnical engineering. It discusses the scale dependence of friction in geomaterials, highlighting the complex
interplay of surface roughness, interfacial interactions, and atomic rearrangements. The computational
complexity associated with atomistic simulations, such as molecular dynamics, is also addressed, considering
the large number of atoms present in geomaterials and the need to simulate their behavior over relevant time and
length scales. To address these challenges, a comprehensive understanding of nano-geo-mechanics requires a
multidisciplinary approach that combines experimental investigations, advanced characterization techniques,
theoretical models, and computational simulations. Continuous research endeavors seek to create precise
predictive models for nano friction in geomaterials, enhancing our comprehension of essential geotechnical
processes and laying the groundwork for groundbreaking applications in geotechnical engineering. This article
underscores the significance of nano-geomechanics in geotechnical engineering and serves as a valuable
reference for researchers and practitioners keen on exploring the opportunities and obstacles in this emerging
domain. By addressing these challenges, nano-geo-mechanics has the potential to revolutionize geotechnical
engineering, leading to more sustainable and efficient geotechnical solutions.
Keywords: Nano mechanics, geo-materials, nano scale friction, governing equations,
macro-nano behavior of geomaterials.](https://image.slidesharecdn.com/nanoscalefrictionpaper-idno-icaiie00093-1-230813171125-7e663ca3/85/Nano-scale-friction-paper-ID-No-ICAIIE00093-1-pdf-1-320.jpg)
