This presnetation gives complete idea about block diagram representation and reduction techniques to find transfer function. Also gives complete idea about Signal flow graph method to find transfer function.
This presnetation gives complete idea about block diagram representation and reduction techniques to find transfer function. Also gives complete idea about Signal flow graph method to find transfer function.
Computation of electromagnetic fields scattered from dielectric objects of un...Alexander Litvinenko
We develop fast and efficient stochastic methods for characterizing scattering
from objects of uncertain shapes. This is highly needed in the
fields of electromagnetics, optics, and photonics.
The continuation multilevel Monte Carlo (CMLMC) method is
used together with a surface integral equation solver. The
CMLMC method optimally balances statistical errors due to
sampling of the parametric space, and numerical errors due
to the discretization of the geometry using a hierarchy of
discretizations, from coarse to fine. The number of realizations
of finer discretizations can be kept low, with most samples
computed on coarser discretizations to minimize computational
work. Consequently, the total execution time is significantly
reduced, in comparison to the standard MC scheme.
Computation of electromagnetic fields scattered from dielectric objects of un...Alexander Litvinenko
Computational tools for characterizing electromagnetic scattering from objects with uncertain shapes are needed in various applications ranging from remote sensing at microwave frequencies to Raman spectroscopy at optical frequencies. Often, such computational tools use the Monte Carlo (MC) method to sample a parametric space describing geometric uncertainties. For each sample, which corresponds to a realization of the geometry, a deterministic electromagnetic solver computes the scattered fields. However, for an accurate statistical characterization the number of MC samples has to be large. In this work, to address this challenge, the continuation multilevel Monte Carlo (\CMLMC) method is used together with a surface integral equation solver.
The \CMLMC method optimally balances statistical errors due to sampling of
the parametric space, and numerical errors due to the discretization of the geometry using a hierarchy of discretizations, from coarse to fine.
The number of realizations of finer discretizations can be kept low, with most samples
computed on coarser discretizations to minimize computational cost.
Consequently, the total execution time is significantly reduced, in comparison to the standard MC scheme.
Unconstrained Optimization Method to Design Two Channel Quadrature Mirror Fil...CSCJournals
This paper proposes an efficient method for the design of two-channel, quadrature mirror filter (QMF) bank for subband image coding. The choice of filter bank is important as it affects image quality as well as system design complexity. The design problem is formulated as weighted sum of reconstruction error in time domain and passband and stop-band energy of the low-pass analysis filter of the filter bank .The objective function is minimized directly, using nonlinear unconstrained method. Experimental results of the method on images show that the performance of the proposed method is better than that of the already existing methods. The impact of some filter characteristics, such as stopband attenuation, stopband edge, and filter length on the performance of the reconstructed images is also investigated.
Code of the multidimensional fractional pseudo-Newton method using recursive ...mathsjournal
The following paper presents one way to define and classify the fractional pseudo-Newton method through a group of fractional matrix operators, as well as a code written in recursive programming to implement this
method, which through minor modifications, can be implemented in any fractional fixed-point method that allows
solving nonlinear algebraic equation systems.
Code of the multidimensional fractional pseudo-Newton method using recursive ...mathsjournal
The following paper presents one way to define and classify the fractional pseudo-Newton method through a group of fractional matrix operators, as well as a code written in recursive programming to implement this method, which through minor modifications, can be implemented in any fractional fixed-point method that allows solving nonlinear algebraic equation systems.
Describe the non linear dynamic pipeline concepts, Creation of reservation table from non-linear pipeline architecture, creation of collision vector from reservation table, generation of state diagram, derivation of simple cycles, greedy cycles and MAL(Minimum Average Latency)
Task Constrained Motion Planning for Snake RobotGiovanni Murru
Presentation of the work I've done during the Mobile Robotics course, about the task constrained motion planning for a snake-like robot with 24 dof, using probabilistic planning RRT to handle the task.
On Optimization of Network-coded Scalable Multimedia Service MulticastingAndrea Tassi
In the near future, the delivery of multimedia multicast services over next-generation networks is likely to become one of the main pillars of future cellular networks. In this extended abstract, we address the issue of efficiently multicasting layered video services by defining a novel optimization paradigm that is based on an Unequal Error Protection implementation of Random Linear Network Coding, and aims to ensure target service coverages by using a limited amount of radio resources.
NUMERICAL SIMULATIONS OF HEAT AND MASS TRANSFER IN CONDENSING HEAT EXCHANGERS...ssuser7dcef0
Power plants release a large amount of water vapor into the
atmosphere through the stack. The flue gas can be a potential
source for obtaining much needed cooling water for a power
plant. If a power plant could recover and reuse a portion of this
moisture, it could reduce its total cooling water intake
requirement. One of the most practical way to recover water
from flue gas is to use a condensing heat exchanger. The power
plant could also recover latent heat due to condensation as well
as sensible heat due to lowering the flue gas exit temperature.
Additionally, harmful acids released from the stack can be
reduced in a condensing heat exchanger by acid condensation. reduced in a condensing heat exchanger by acid condensation.
Condensation of vapors in flue gas is a complicated
phenomenon since heat and mass transfer of water vapor and
various acids simultaneously occur in the presence of noncondensable
gases such as nitrogen and oxygen. Design of a
condenser depends on the knowledge and understanding of the
heat and mass transfer processes. A computer program for
numerical simulations of water (H2O) and sulfuric acid (H2SO4)
condensation in a flue gas condensing heat exchanger was
developed using MATLAB. Governing equations based on
mass and energy balances for the system were derived to
predict variables such as flue gas exit temperature, cooling
water outlet temperature, mole fraction and condensation rates
of water and sulfuric acid vapors. The equations were solved
using an iterative solution technique with calculations of heat
and mass transfer coefficients and physical properties.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Forklift Classes Overview by Intella PartsIntella Parts
Discover the different forklift classes and their specific applications. Learn how to choose the right forklift for your needs to ensure safety, efficiency, and compliance in your operations.
For more technical information, visit our website https://intellaparts.com
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
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CW RADAR, FMCW RADAR, FMCW ALTIMETER, AND THEIR PARAMETERSveerababupersonal22
It consists of cw radar and fmcw radar ,range measurement,if amplifier and fmcw altimeterThe CW radar operates using continuous wave transmission, while the FMCW radar employs frequency-modulated continuous wave technology. Range measurement is a crucial aspect of radar systems, providing information about the distance to a target. The IF amplifier plays a key role in signal processing, amplifying intermediate frequency signals for further analysis. The FMCW altimeter utilizes frequency-modulated continuous wave technology to accurately measure altitude above a reference point.
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
3. I consider the generalization of the QMF bank to M channels. The figure given
previously illustrate the structure of an M channel QMF banks,where x(n) is the
input to the analysis section,𝑥𝑘
(
𝑎
)(n), 0 ≤ k ≤ M-1, are the outputs of th analysis
filters,𝑥𝑘
(
𝑠
)(n), 0 ≤ k ≤ M-1, are the inputs to the synthesis filters and X(n) is the
output of the synthesis section.
The M outputs from analysis filters may be expressed in the z-transform
domain as,
𝑥𝑘
(
𝑎
)
(z) =
1
𝑀
𝑚
=
0
𝑀
−
1 𝐻𝑘
(𝑧
1
/
𝑀
𝑊
𝑀
𝑚
)𝑥(𝑧
1
/
𝑀
𝑊
𝑀
𝑚
),
0 ≤ k ≤ M-1 ...(1)
where 𝑊
𝑀 = 𝑒
−
𝑗2𝜋
/
𝑀
. The output from the synthesis section is
X(z) = 𝑘
=
0
𝑀
−
1 𝑥𝑘
(
𝑠
)
(𝑧
𝑀
)𝐺𝑘(z) ...(2)
As in the case of the two channel QMF bank,we set 𝑥𝑘
(
𝑎
)
(z) = 𝑥𝑘
(
𝑠
)
(z). Then , if we
substitute (1) into (2) ,we obtain,
4. X(z) = 𝑘=0
𝑀−1
𝐺𝑘 (z)[
1
𝑀 𝑚=0
𝑀−1
𝐻𝑘(𝑧𝑊𝑀
𝑚
)𝑥(𝑧𝑊𝑀
𝑚
)]
= 𝑚=0
𝑀−1
[
1
𝑀 𝑘=0
𝑀−1
𝐺𝑘 (𝑧)𝐻𝑘(𝑧𝑊𝑀
𝑚
)]𝑥(𝑧𝑊𝑀
𝑚
) ....(3)
It is convenient to define the term in the bracket as,
Rm(z) =
1
𝑀 𝑘=0
𝑀−1
𝐺𝑘𝐻𝑘(z𝑊𝑀
𝑚
), 0 ≤ m ≤ M-1 ....(4)
Then (3) can be expressed as,
X(z) = 𝑚=0
𝑀−1
𝑅𝑚(𝑧)𝑥(𝑧𝑊𝑁
𝑚
)
= R0(z)𝑥(z)+ 𝑚=1
𝑀−1
𝑅𝑚(𝑧)(z𝑊𝑀
𝑚
) ....(5)
We note the first term in (5) is the alias-free component of the QMF
bank and the second term is the aliasing component.
5. • From (5), it is clear that aliasing is eliminating by forcing the condition,
Rm(z) = 0, 1 ≤ m ≤ M-1 ....(6)
With the elimination of the alias terms, the M-channel QMF bank becomes
a linear time-invariant system that satisfies the input-output relation,
X(z) = R0(z)𝑥(z) ....(7)
where
R0(z) =
1
𝑀 𝑘=0
𝑀−1
𝐻𝑘(𝑧)𝐺𝑘(z) ....(8)
Then, the condition for a perfect reconstruction M-channel QMF bank
becomes
R0(z) = Cz-k ....(9)
Where C and k are positive constants
6. Polyphase form of the M-channel QMF Bank
• An efficient implementation of the M-channel QMF bank is achieved by
employing polyphase filters. To obtain the polyphase form for the
analysis filter bank,the kth filter Hk(z) is represented as
• Hk(z) = 𝑚=0
𝑀−1
𝑧−𝑚
𝑃𝑘𝑚(𝑧), 1 ≤ k ≤ M-1 ....(10)
We may express the equation for the M polyphase filter in matrix form as
H(z) = P(zM)a(z) ....(11)
where
H(z) = [H0(z) H1(z) ... HM-1(z)]𝑡
a(z) = [1 z-1 z-2 ... z-(M-1)]𝑡 ....(12)
7. • P(z) =
𝑃00(𝑧) 𝑃01(𝑧) ⋯ 𝑃0𝑀(𝑧)
⋮ ⋱ ⋮
𝑃𝑀−1 0(𝑧) 𝑃𝑀−1 1(𝑧) ⋯ 𝑃𝑀−1 𝑀−1(𝑧)
....(13)
• The polyphase form of the analysis filter bank shown in figure
below (a) and after applying the first noble identity we obtain
the structure shown in figure (b)
8. • The synthesis section can be constructed in a similar manner.
Suppose we use a type II (transpose) for the polyphase
representation of the filter {Gk(z)}. Thus,
Gk(z) = 𝑚=0
𝑀−1
𝑧−(𝑀−1−𝑚)
𝑄𝑘𝑚(𝑧𝑀
), 1 ≤ k ≤ M-1 ....(14)
• When expressed in matrix form,(14) becomes
G(z) = 𝑧−(𝑀−1)
Q(zM)a(z-1) ....(15)
where a(z) is defined in (12) and
Q(z) =
𝑄00(𝑧) 𝑄(𝑧) ⋯ 𝑄0𝑀(𝑧)
⋮ ⋱ ⋮
𝑄𝑀−1 0(𝑧) 𝑄𝑀−1 1(𝑧) ⋯ 𝑄𝑀−1 𝑀−1(𝑧)
....(16)
9. • Therefore the synthesis of the M-channel QMF bank is realised
as shown in figure below.
(a)-Polyphase structure of the synthesis section of an M-channel
QMF bank and (b)-after applying the first noble identity.
10. • We obtain the polyphase structure of th complete M-channel QMF bank
shown in figure below,
• From the structure of the M-channel QMF bank in figure above, it is
observed that perfect reconstruction condition can be restated as
Q(z)P(z) = Cz-kI ....(17)
11. where I is the M x M marix. Hence, if the polyphase matrix P(z)
is known, then the polyphase synhtesis matrix Q(z) is
Q(z) = Cz-k[P(z)]-1 ....(18)
12. • It has significanty reduced computations.
• It has reduced storage.
• It has simplified filter design.
• It has reduced finite word length effects.
13. • It has increased control structure required to implement
the design.