Forced Convection Demonstration

•

0 likes•43 views

This document discusses the importance of diversity and inclusion in the workplace. It notes that a diverse workforce leads to better problem solving and decision making by bringing in a variety of perspectives. The document also stresses that a culture of inclusion is necessary to fully benefit from diversity by ensuring all employees feel respected, engaged and able to contribute their skills and ideas.

Engineering

Clients expect you to seamlessly deliver a range of transfer services. They expect you to delight their investors and ensure you have a robust onboarding and compliance process in place. They also want you to help them ensure they comply with shareholding obligations and corporate actions. With digital expectations becoming ever higher, how will you and your firm beat the competition? Join this exclusive webinar to learn how the market leaders are excelling and why digitalising your onboarding and client experience is key to your future success. The webinar will consider: How transfer agents can deliver a seamless client experience -The need to digitalise onboarding and client experience -Technologies and tools to support digitalisation -How to build competitive advantage -The benefits of digitalisation beyond compliance

Enhancing your mobile commerce apps with eBay Inc.

Pragati Rai

Week 3 of digital media contents

kimhyeonji4

Omnichannel - The challenges of Game Mania

Ctac Belgium

In a continuously and fast changing world every business should question its interaction with its clients. Who is my customer, what is he buying, where does he buy, does he come to us or do we deliver his purchases,… Besides these client oriented questions, the change in stock management (digitalization) also becomes an issue. Kris Lenaerts offers an overview of the challenges he and his competitors are confronted with an lifts a corner of the veil on how to cope with them.

The document discusses the benefits of a new training program for employees that focuses on effective communication, leadership skills, and dealing with difficult customer situations. The program aims to help employees improve their performance by providing them with tools to handle challenges that commonly come up in their roles. It is expected to help reduce conflicts and create a better experience for both employees and customers.

L1 presentation number operations

destepwhs

FES Tech Summit Presentation

Frontline Energy Services

Why is confidence key for Consulting salespeople?

Y-Connect

Commercial Story Board for MAC Cosmetics

siobhan_jones

L6 lesson presentation design your own

destepwhs

Sex linked inheritance in human beings

BHASKAR GOUDA

L3 lesson presentation add edit and calculate

destepwhs

Negotiating a Corporate Restructuring

Antonio de Macedo Vitorino

Blackout powerpoint

Tyler Miller

Aug3 Session1 Sarah Colvin: Voice and the Power of Data

Dhyana Pomaibo

L2 lesson presentation ordering and presenting

destepwhs

2. Isg Patient One Card Flyer 0910

dfspratlin

L4 lesson presentation solving problems

destepwhs

L5 lesson presentation party plan budget

destepwhs

RST2014_Novosibirsk_SMMNetworkAnalysisPlatform

RussianStartupTour

Crazy Monsters: Nine Easy Steps to Bring Your Monstrous Creation to Life

ajmahn

Free Convection Demonstration

Khusro Kamaluddin

Boundary Layer Demonstration

Khusro Kamaluddin

What's hot

Exit10 Teaser

Saptarshi Nath

Key Procurement Trends for 2015 & Practitioners Views

Zycus

16 Awesome Sex Tips For Men - Get Her Begging For More

leadingedgehealth

Kano Prioritasation Model

Pavel Dabrytski

L1 presentation number operations

destepwhs

FES Tech Summit Presentation

Frontline Energy Services

Why is confidence key for Consulting salespeople?

Y-Connect

Commercial Story Board for MAC Cosmetics

siobhan_jones

L6 lesson presentation design your own

destepwhs

Sex linked inheritance in human beings

BHASKAR GOUDA

L3 lesson presentation add edit and calculate

destepwhs

Negotiating a Corporate Restructuring

Antonio de Macedo Vitorino

Blackout powerpoint

Tyler Miller

Aug3 Session1 Sarah Colvin: Voice and the Power of Data

Dhyana Pomaibo

L2 lesson presentation ordering and presenting

destepwhs

2. Isg Patient One Card Flyer 0910

dfspratlin

L4 lesson presentation solving problems

destepwhs

L5 lesson presentation party plan budget

destepwhs

RST2014_Novosibirsk_SMMNetworkAnalysisPlatform

RussianStartupTour

Crazy Monsters: Nine Easy Steps to Bring Your Monstrous Creation to Life

ajmahn

What's hot (20)

Exit10 Teaser

Key Procurement Trends for 2015 & Practitioners Views

16 Awesome Sex Tips For Men - Get Her Begging For More

Kano Prioritasation Model

L1 presentation number operations

FES Tech Summit Presentation

Why is confidence key for Consulting salespeople?

Commercial Story Board for MAC Cosmetics

L6 lesson presentation design your own

Sex linked inheritance in human beings

L3 lesson presentation add edit and calculate

Negotiating a Corporate Restructuring

Blackout powerpoint

Aug3 Session1 Sarah Colvin: Voice and the Power of Data

L2 lesson presentation ordering and presenting

2. Isg Patient One Card Flyer 0910

L4 lesson presentation solving problems

L5 lesson presentation party plan budget

RST2014_Novosibirsk_SMMNetworkAnalysisPlatform

Crazy Monsters: Nine Easy Steps to Bring Your Monstrous Creation to Life

More from Khusro Kamaluddin

Free Convection Demonstration

Khusro Kamaluddin

Boundary Layer Demonstration

Khusro Kamaluddin

Scales in Turbulent Flow

Khusro Kamaluddin

This document discusses turbulent fluid flow and the scales involved. It states that fully developed turbulent flow involves a cascade from the largest eddies created by mean flow instabilities down to progressively smaller eddies. As eddy sizes decrease, dissipation and velocity gradients increase until energy is dissipated into heat at the smallest, viscous scales. The Reynolds number, which represents the ratio of inertial to viscous forces, is also derived and shown to relate the advection and diffusion time scales. Boundary layers in both laminar and turbulent flow are examined in terms of how viscosity affects fluid behavior at different length scales.

Statistical Description of Turbulent Flow

Khusro Kamaluddin

This document provides an overview of statistical descriptions and characteristics of turbulence. It discusses: 1. Turbulence is unpredictable in detail but its statistical characteristics are largely reproducible. Solutions to the Navier-Stokes equations are random due to unavoidable perturbations. 2. Probability density functions, cumulative distribution functions, moments like mean, variance, skewness, kurtosis are used to statistically characterize turbulence. 3. Autocorrelation functions describe how turbulence variables correlate over time and space; integral and Taylor time scales measure temporal correlations.

Basics of Turbulent Flow

Khusro Kamaluddin

Turbulent flow is characterized by randomness, irregularity, and fluctuations across a wide range of length and time scales. It occurs at high Reynolds numbers where inertial forces dominate over viscous forces. Key features include being 3D, highly diffusive, dissipative, and containing many vortices. The equations that govern fluid motion, such as the continuity and Navier-Stokes equations, can still be applied through use of the continuum hypothesis even when modeling turbulent flow as a continuum phenomenon. Turbulence was first studied scientifically by figures such as Leonardo da Vinci, Osborne Reynolds, and Ludwig Prandtl, laying the foundations for further research.

Francis Turbine

Khusro Kamaluddin

GATE Results

Khusro Kamaluddin

Human respiratory system at a glance : Physiology and disease (link in descri...

Khusro Kamaluddin

An Investigation into the Flow Mechanism of Gas-Solids Flow of Fine and Dusty...

Khusro Kamaluddin

An Investigation into the Flow Mechanism of Gas-Solids Flow of Fine and Dusty...

Khusro Kamaluddin

This document provides details of a research project investigating pneumatic conveying of fly ash from coal power plants. The objectives are to predict air flow requirements, pressure drops, and optimize system design. Experimental work includes characterizing fly ash properties and conducting conveying tests. Computational work involves simulating flow using the discrete element method. The current work describes designing and installing orifice flow meters to measure air flow rates for the project, including selecting pipe sizes, flow conditioner design, orifice plate fabrication, and pressure tapping installation. References are provided on pneumatic conveying modeling and experimental methods.

Particle Size Distribution (PSD)

Khusro Kamaluddin

This document discusses particle size distribution and how it is measured. It defines different particle size metrics like volume mean diameter and provides examples of their significance. It describes common methods to measure particle size distribution including sieve analysis, dynamic image analysis, and laser diffraction. Sieve analysis separates particles by size and weighs the fractions, dynamic image analysis uses image processing to determine particle outlines, and laser diffraction analyzes angular light scattering patterns to calculate particle sizes.

Particle Shape

Khusro Kamaluddin

Particle Density

Khusro Kamaluddin

Introduction to Coupled CFD-DEM Modeling

Khusro Kamaluddin

CADD Modelling of Bench Vise using Creo Parametric 2.0

Khusro Kamaluddin

Summer Training 2015 at Alternate Hydro Energy Center

Khusro Kamaluddin

Cfd analysis of horizontal plate in fluent

Khusro Kamaluddin

The document describes the steps taken to perform a CFD analysis of flow over a horizontal plate using ANSYS Fluent. The analysis used the Spalart-Allmaras, k-epsilon, and k-omega turbulence models to simulate flow of air and water over the plate at velocities of 10m/s, 100m/s, and 350m/s. The steps included setting up the geometry, meshing, selecting models and materials, applying boundary conditions, running calculations to convergence, and examining results through contours.

Electrostatic Smoke Precipitator (ESP)

Khusro Kamaluddin

This document discusses electrostatic smoke precipitators (ESPs), which are particulate collection devices that use electrostatic charges to remove particles like dust and smoke from gas streams. ESPs work by charging the particulate matter and attracting it to oppositely charged collection plates. The collected particulate is then removed periodically from the plates. ESPs are highly efficient and minimally impede gas flow. They work on the principle of electrophoresis and are more energy efficient than wet scrubbers. The document describes the basic components and working principles of ESPs.

Automotive clutch

Khusro Kamaluddin

The document discusses different types of automotive clutches. It describes positive clutches which use interlocking jaws and friction clutches which engage through friction between surfaces. Specific friction clutches covered include single plate, multi-plate, cone, and centrifugal clutches. It provides details on their components, operation, advantages and disadvantages. The document also discusses materials used for friction linings in clutches.

Computational Fluid Dynamics (CFD)

Khusro Kamaluddin

This document discusses computational fluid dynamics (CFD). CFD uses numerical analysis and algorithms to solve and analyze fluid flow problems. It can be used at various stages of engineering to study designs, develop products, optimize designs, troubleshoot issues, and aid redesign. CFD complements experimental testing by reducing costs and effort required for data acquisition. It involves discretizing the fluid domain, applying boundary conditions, solving equations for conservation of properties, and interpolating results. Turbulence models and discretization methods like finite volume are discussed. The CFD process involves pre-processing the problem, solving it, and post-processing the results.

More from Khusro Kamaluddin (20)

Free Convection Demonstration

Boundary Layer Demonstration

Scales in Turbulent Flow

Statistical Description of Turbulent Flow

Basics of Turbulent Flow

Francis Turbine

GATE Results

Human respiratory system at a glance : Physiology and disease (link in descri...

An Investigation into the Flow Mechanism of Gas-Solids Flow of Fine and Dusty...

Particle Size Distribution (PSD)

Particle Shape

Particle Density

Introduction to Coupled CFD-DEM Modeling

CADD Modelling of Bench Vise using Creo Parametric 2.0

Summer Training 2015 at Alternate Hydro Energy Center

Cfd analysis of horizontal plate in fluent

Electrostatic Smoke Precipitator (ESP)

Automotive clutch

Computational Fluid Dynamics (CFD)

Recently uploaded

学校原版美国波士顿大学毕业证学历学位证书原版一模一样

171ticu

原版一模一样【微信：741003700 】【美国波士顿大学毕业证学历学位证书】【微信：741003700 】学位证，留信认证（真实可查，永久存档）offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。本公司拥有海外各大学样板无数，能完美还原海外各大学 Bachelor Diploma degree, Master Degree Diploma 1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700 留信网认证的作用: 1:该专业认证可证明留学生真实身份 2:同时对留学生所学专业登记给予评定 3:国家专业人才认证中心颁发入库证书 4:这个认证书并且可以归档倒地方 5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息 6:个人职称评审加20分 7:个人信誉贷款加10分 8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才

Iron and Steel Technology Roadmap - Towards more sustainable steelmaking.pdf

RadiNasr

KuberTENes Birthday Bash Guadalajara - K8sGPT first impressions

Victor Morales

Manufacturing Process of molasses based distillery ppt.pptx

Madan Karki

DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL

gerogepatton

As digital technology becomes more deeply embedded in power systems, protecting the communication networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3) represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities. Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network (CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to train and test our model. The results of our experiments show that our CNN-LSTM method is much better at finding smart grid intrusions than other deep learning algorithms used for classification. In addition, our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection accuracy rate of 99.50%.

A review on techniques and modelling methodologies used for checking electrom...

nooriasukmaningtyas

The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.

IEEE Aerospace and Electronic Systems Society as a Graduate Student Member

VICTOR MAESTRE RAMIREZ

哪里办理(csu毕业证书)查尔斯特大学毕业证硕士学历原版一模一样

insn4465

原版一模一样【微信：741003700 】【(csu毕业证书)查尔斯特大学毕业证硕士学历】【微信：741003700 】学位证，留信认证（真实可查，永久存档）offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。本公司拥有海外各大学样板无数，能完美还原海外各大学 Bachelor Diploma degree, Master Degree Diploma 1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700 留信网认证的作用: 1:该专业认证可证明留学生真实身份 2:同时对留学生所学专业登记给予评定 3:国家专业人才认证中心颁发入库证书 4:这个认证书并且可以归档倒地方 5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息 6:个人职称评审加20分 7:个人信誉贷款加10分 8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才

ML Based Model for NIDS MSc Updated Presentation.v2.pptx

JamalHussainArman

Advanced control scheme of doubly fed induction generator for wind turbine us...

IJECEIAES

This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.

Engineering Drawings Lecture Detail Drawings 2014.pdf

abbyasa1014

Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...

IJECEIAES

Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to precisely delineate tumor boundaries from magnetic resonance imaging (MRI) scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The model is rigorously trained and evaluated, exhibiting remarkable performance metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical image analysis and enhance healthcare outcomes. This research paves the way for future exploration and optimization of advanced CNN models in medical imaging, emphasizing addressing false positives and resource efficiency.

Casting-Defect-inSlab continuous casting.pdf

zubairahmad848137

CSM Cloud Service Management Presentarion

rpskprasana

Eric Nizeyimana's document 2006 from gicumbi to ttc nyamata handball play

enizeyimana36

this notes have been created by Eric36 at nyamata ttc after readings pe book for y2sme .

Understanding Inductive Bias in Machine Learning

SUTEJAS

This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models. The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees. By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.

spirit beverages ppt without graphics.pptx

Madan Karki

Question paper of renewable energy sources

mahammadsalmanmech

Literature Review Basics and Understanding Reference Management.pptx

Dr Ramhari Poudyal

22CYT12-Unit-V-E Waste and its Management.ppt

KrishnaveniKrishnara1

Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.

Recently uploaded (20)

学校原版美国波士顿大学毕业证学历学位证书原版一模一样

Iron and Steel Technology Roadmap - Towards more sustainable steelmaking.pdf

KuberTENes Birthday Bash Guadalajara - K8sGPT first impressions

Manufacturing Process of molasses based distillery ppt.pptx

DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL

A review on techniques and modelling methodologies used for checking electrom...

IEEE Aerospace and Electronic Systems Society as a Graduate Student Member

哪里办理(csu毕业证书)查尔斯特大学毕业证硕士学历原版一模一样

ML Based Model for NIDS MSc Updated Presentation.v2.pptx

Advanced control scheme of doubly fed induction generator for wind turbine us...

Engineering Drawings Lecture Detail Drawings 2014.pdf

Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...

Casting-Defect-inSlab continuous casting.pdf

CSM Cloud Service Management Presentarion

Eric Nizeyimana's document 2006 from gicumbi to ttc nyamata handball play

Understanding Inductive Bias in Machine Learning

spirit beverages ppt without graphics.pptx

Question paper of renewable energy sources

Literature Review Basics and Understanding Reference Management.pptx

22CYT12-Unit-V-E Waste and its Management.ppt