SMART Infrastructure Facility Vice-Chancellor's Postdoctoral Research Fellow Dr Michelle Dunbar presented an overview of he research into public transport accessibility and synchronisation as part of the SMART Seminar Series. Dr Dunbar's presentation took place on Tuesday, 26 May 2015 at SMART infrastructure Facility.
Adjusting the flow in crucial areas can maximize the overall throughput of traffic along a stretch of road. This is of particular interest in regions of high traffic density, which may be caused by high volume peak time traffic, accidents or closure of one or more lanes of the road.
Modeling business management systems transportationSherin El-Rashied
Introduction
How IT &Business Process Fit Together
What is modeling?
What is Simulation?
Modeling & Simulation in Business Process Management
The Seven-Step Model-Building Process
Transportation
An overview on transportation modeling
Transport model scope & structure
Car Traffic Jam Problem
Aim of Transportation Model
Types of Traffic Models
Microscopic Traffic model & Simulation
Cellular Automaton model
Conclusion
Solving Transportation Problem by Software Application
Class Example
EXTENDED LINEAR MULTICOMMODITY MULTICOST NETWORK ANDMAXIMAL CONCURENT FLOW PR...ijmnct
Graph is a powerful mathematical tool applied in many fields as transportation, communication,
informatics, economy, … In ordinary graph the weights of edges and vertexes are considered indepently
where the length of a path is the sum of weights of the edges and the vertexes on this path. However, in
many practical problems, weights at a vertex are not the same for all paths passing this vertex, but depend
on coming and leaving edges. In the article [2], a kind of weights, called switch cost, is defined. The papers
[3-6] study multicomodity flow problems in ordinary networks. The papers [3-6] study multicomodity flow
problems in extended networks, where switch costs are defined for mixed graphs. The papers [12,13]
develops a model of extended linear multicommodity multicost network and studies the maximal linear
multicomodity multicost flow problems. The papers [14,15] study the maximal multicomodity multicost
flow limited cost problems. Model of extended linear multicommodity multicost network can be applied to
modelize many practical problems more exactly and effectively. The presented paper studies the maximal
concurent linear multicomodity multicost flow problems, that are modelized as implicit linear
programming problems. On the base of dual theory in linear programming an effective aproximate
algorithms is developed.
EXTENDED LINEAR MULTICOMMODITY MULTICOST NETWORK ANDMAXIMAL CONCURENT FLOW PR...ijmnct
Graph is a powerful mathematical tool applied in many fields as transportation, communication,
informatics, economy, … In ordinary graph the weights of edges and vertexes are considered indepently
where the length of a path is the sum of weights of the edges and the vertexes on this path. However, in
many practical problems, weights at a vertex are not the same for all paths passing this vertex, but depend
on coming and leaving edges. In the article [2], a kind of weights, called switch cost, is defined. The papers
[3-6] study multicomodity flow problems in ordinary networks. The papers [3-6] study multicomodity flow
problems in extended networks, where switch costs are defined for mixed graphs. The papers [12,13]
develops a model of extended linear multicommodity multicost network and studies the maximal linear
multicomodity multicost flow problems. The papers [14,15] study the maximal multicomodity multicost
flow limited cost problems. Model of extended linear multicommodity multicost network can be applied to
modelize many practical problems more exactly and effectively. The presented paper studies the maximal
concurent linear multicomodity multicost flow problems, that are modelized as implicit linear
programming problems. On the base of dual theory in linear programming an effective aproximate
algorithms is developed.
Localized Electrons with Wien2k
LDA+U, EECE, MLWF, DMFT
Elias Assmann
Vienna University of Technology, Institute for Solid State Physics
WIEN2013@PSU, Aug 14
A new look on CSI imperfection in downlink NOMA systemsjournalBEEI
Observing that cooperative scheme benefits to non-orthogonal multiple access (NOMA) systems, we focus on system performance analysis of downlink. However, spectrum efficiency is still high priority to be addressed in existing systems and hence this paper presents full-duplex enabling in NOMA systems. Other challenge needs be considered related to channel state information (CSI). In particular, we derive closedform expressions of outage probability for such NOMA systems under the presence of CSI imperfection. Furthermore, to fully exploit practical environment, we provide system model associated with Nakagami-m fading. The Monte-Carlo simulations are conducted to verify the exactness of considered systems.
SMART Infrastructure Facility Vice-Chancellor's Postdoctoral Research Fellow Dr Michelle Dunbar presented an overview of he research into public transport accessibility and synchronisation as part of the SMART Seminar Series. Dr Dunbar's presentation took place on Tuesday, 26 May 2015 at SMART infrastructure Facility.
Adjusting the flow in crucial areas can maximize the overall throughput of traffic along a stretch of road. This is of particular interest in regions of high traffic density, which may be caused by high volume peak time traffic, accidents or closure of one or more lanes of the road.
Modeling business management systems transportationSherin El-Rashied
Introduction
How IT &Business Process Fit Together
What is modeling?
What is Simulation?
Modeling & Simulation in Business Process Management
The Seven-Step Model-Building Process
Transportation
An overview on transportation modeling
Transport model scope & structure
Car Traffic Jam Problem
Aim of Transportation Model
Types of Traffic Models
Microscopic Traffic model & Simulation
Cellular Automaton model
Conclusion
Solving Transportation Problem by Software Application
Class Example
EXTENDED LINEAR MULTICOMMODITY MULTICOST NETWORK ANDMAXIMAL CONCURENT FLOW PR...ijmnct
Graph is a powerful mathematical tool applied in many fields as transportation, communication,
informatics, economy, … In ordinary graph the weights of edges and vertexes are considered indepently
where the length of a path is the sum of weights of the edges and the vertexes on this path. However, in
many practical problems, weights at a vertex are not the same for all paths passing this vertex, but depend
on coming and leaving edges. In the article [2], a kind of weights, called switch cost, is defined. The papers
[3-6] study multicomodity flow problems in ordinary networks. The papers [3-6] study multicomodity flow
problems in extended networks, where switch costs are defined for mixed graphs. The papers [12,13]
develops a model of extended linear multicommodity multicost network and studies the maximal linear
multicomodity multicost flow problems. The papers [14,15] study the maximal multicomodity multicost
flow limited cost problems. Model of extended linear multicommodity multicost network can be applied to
modelize many practical problems more exactly and effectively. The presented paper studies the maximal
concurent linear multicomodity multicost flow problems, that are modelized as implicit linear
programming problems. On the base of dual theory in linear programming an effective aproximate
algorithms is developed.
EXTENDED LINEAR MULTICOMMODITY MULTICOST NETWORK ANDMAXIMAL CONCURENT FLOW PR...ijmnct
Graph is a powerful mathematical tool applied in many fields as transportation, communication,
informatics, economy, … In ordinary graph the weights of edges and vertexes are considered indepently
where the length of a path is the sum of weights of the edges and the vertexes on this path. However, in
many practical problems, weights at a vertex are not the same for all paths passing this vertex, but depend
on coming and leaving edges. In the article [2], a kind of weights, called switch cost, is defined. The papers
[3-6] study multicomodity flow problems in ordinary networks. The papers [3-6] study multicomodity flow
problems in extended networks, where switch costs are defined for mixed graphs. The papers [12,13]
develops a model of extended linear multicommodity multicost network and studies the maximal linear
multicomodity multicost flow problems. The papers [14,15] study the maximal multicomodity multicost
flow limited cost problems. Model of extended linear multicommodity multicost network can be applied to
modelize many practical problems more exactly and effectively. The presented paper studies the maximal
concurent linear multicomodity multicost flow problems, that are modelized as implicit linear
programming problems. On the base of dual theory in linear programming an effective aproximate
algorithms is developed.
Localized Electrons with Wien2k
LDA+U, EECE, MLWF, DMFT
Elias Assmann
Vienna University of Technology, Institute for Solid State Physics
WIEN2013@PSU, Aug 14
A new look on CSI imperfection in downlink NOMA systemsjournalBEEI
Observing that cooperative scheme benefits to non-orthogonal multiple access (NOMA) systems, we focus on system performance analysis of downlink. However, spectrum efficiency is still high priority to be addressed in existing systems and hence this paper presents full-duplex enabling in NOMA systems. Other challenge needs be considered related to channel state information (CSI). In particular, we derive closedform expressions of outage probability for such NOMA systems under the presence of CSI imperfection. Furthermore, to fully exploit practical environment, we provide system model associated with Nakagami-m fading. The Monte-Carlo simulations are conducted to verify the exactness of considered systems.
Fair channel allocation and access design for cognitive ad hoc networksPolytechnique Montreal
We investigate the fair channel assignment and access design problem for cognitive radio ad hoc network in this paper. In particular, we consider a scenario where ad hoc network nodes have hardware constraints which allow them to access at most one channel at any time. We investigate a fair channel allocation problem where each node is allocated a subset of channels which are sensed and accessed periodically by their owners by using a MAC protocol. Toward this end, we analyze the complexity of the optimal brute-force search algorithm which finds the optimal solution for this NP-hard problem. We then develop low-complexity algorithms that can work efficiently with a MAC protocol algorithm, which resolves the access contention from neighboring secondary nodes. Also, we develop a throughput analytical model, which is used in the proposed channel allocation algorithm and for performance evaluation of its performance. Finally, we present extensive numerical results to demonstrate the efficacy of the proposed algorithms in achieving fair spectrum sharing among traffic flows in the network.
Sampling based positioning of unmanned aerial vehicles as communication relay...Inkonova AB
In the last years, the use of Unmanned Aerial Vehicles (UAVs, also known as “drones”) have found application in different environments that are dangerous or inaccessible by humans like inspection or mapping of underground mining stopes or shafts. During a drone mission it is often required to maintain connectivity with the ground station (referred hereinafter as GS). Even in autonomous flights, real-time communication provides several advantages like active operator supervision and eventual mission correction, in-flight mapping data transfer in case of drone crash inside an inaccessible area and others. In this context, we are interested in using a drone “leader” to explore unknown, dangerous and/or inaccessible underground areas, while keeping constant communication with the GS.
In this paper, we address the problem of using a swarm of autonomous drones, “repeaters”, as a relay chain to maintain communication between a GS and the drone leader responsible for exploration and data acquisition. We propose a sampling-based solution for dynamical positioning of the relay chain. Our method is fully decentralized, scalable and can deal with the case when the trajectory of the main drone is unknown. Simulation results are provided to show the performance of the proposed algorithm.
To simulate the behavior of the relay chain, we use a 2D simulation environment where the trajectory of the leader is predefined but not provided to the repeaters. The model used for the drone’s motion is based on a control signal that is provided as an acceleration and velocity that are bounded, and the drone is modeled as a point in space without orientation (also known as “headless” or “head-free”). In trivial situations, our algorithm can position the relay chain from the current and past mapping data from the leader. Further exploration and analysis of the utility functions to evaluate the sampled positions could drastically improve the performance. A higher level coordination for the whole drone repeaters’ chain could be achieved by using Behavior Trees, which would also increase the robustness and reliability of the whole system.
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.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Fundamentals of Electric Drives and its applications.pptx
L2 Generalized Representation of a Transportation Network (Transportation and Logistics & Dr. Anna Nagurney)
1. Lecture 2
Generalized Representation of a
Transportation Network
Dr. Anna Nagurney
John F. Smith Memorial Professor
Isenberg School of Management
University of Massachusetts
Amherst, Massachusetts 01003
c 2009
Dr. Anna Nagurney FOMGT 341 Transportation and Logistics - Lecture 2
2. Zurich, Switzerland Railway Network Map
www.vs.inf.ethz.ch
Dr. Anna Nagurney FOMGT 341 Transportation and Logistics - Lecture 2
3. Generalized Representation of a Transportation Network
represented by a mathematical network graph.
1. finite set of nodes
2. set of directed links (arcs, branches, edges).
Examples
In a road network, nodes are where traffic is generated or
attracted to, or intermediate points. Links are the roads.
In an airline network, nodes are the airports, links are the air
routes.
In a freight network, nodes are loading/unloading points and
switching points. Links are made up of tracks.
Dr. Anna Nagurney FOMGT 341 Transportation and Logistics - Lecture 2
4. Network 1
Nodes: x1, x2, ... Links: a1, a2, ...
∗ Links have a direction and may be uniquely expressed as follows:
a1 = (x1, x3), a2 = (x3, x2), etc.
O/D pairs w : w1, w2 w1 = (x1, x3), w2 = (x3, x4).
Note: A 2-way street is represented by 2 links going in opposite
directions.
Dr. Anna Nagurney FOMGT 341 Transportation and Logistics - Lecture 2
5. Generalized Representation of a Transportation Network
Flows in Transportation Networks
Steady State
Path Flows and Link Flows
Path: A path is a sequence of links connecting an O/D pair
w = (x, y) of nodes. It can be represented by linking all the
distinct links from the origin to the destination.
We exclude all cycles or loops.
Assume the travel demand (rate) is constant in time. Hence the
flows are constant in time.
Dr. Anna Nagurney FOMGT 341 Transportation and Logistics - Lecture 2
6. Generalized Representation of a Transportation Network
Notation:
Fp - flow on path p (measured in units/hrs.,users/unit time).
⇒ Path flows are always assumed to be nonnegative.
fa - flow on link a (measured in users/unit time).
Dr. Anna Nagurney FOMGT 341 Transportation and Logistics - Lecture 2
9. Generalized Representation of a Transportation Network
The general expression relating link flows and path flows:
fa =
p
Fpδap
where
δap=
1, if link a is contained in path p;
0, otherwise.
Dr. Anna Nagurney FOMGT 341 Transportation and Logistics - Lecture 2
10. Example - Network 3
Nodes N={x1, x2, x3, x4}
Links L={a1, a2, ..., a8}
O/D pairs W={w1, w2} where
w1=(x1, x2), w2=(x3, x4)
Dr. Anna Nagurney FOMGT 341 Transportation and Logistics - Lecture 2
11. Generalized Representation of a Transportation Network
Paths connecting the O/D pairs
Pw1 = {p1, p2, p3, p4}, where
p1 = (a4), p2 = (a4, a5)
p3 = (a2, a6), p4 = (a1, a3, a6).
Pw2 = {p5, p6, p7, p8}, where
p5 = (a3), p6 = (a5, a7)
p7 = (a8, a2), p8 = (a8, a4, a7).
A link can be contained in 2 (or more) paths connecting an O/D
pair. It can be contained in paths connecting O/D pairs; or both
of the above.
Dr. Anna Nagurney FOMGT 341 Transportation and Logistics - Lecture 2
12. ∗ More than 2 path flow patterns may induce the same link flow
pattern, but link flows are ”unique”.
Example
Suppose that we know the link flows. Can we solve for the path
flows uniquely?
Travel demand w1 = (x1, x2) =100/hrs
Travel demand w2 = (x1, x3) =100/hrs.
Dr. Anna Nagurney FOMGT 341 Transportation and Logistics - Lecture 2
14. Generalized Representation of a Transportation Network
Problem:
Given link flows fa’s, find the path flows Fp’s.
Case I:
For O/D pair w1 = (x1, x2), all travelers take path p2 =⇒Fp2 =100,
Fp1 =0.
For O/D pair w2 = (x1, x3), all travelers take path p3 =⇒Fp3 =100,
Fp4 =0.
With this path flow pattern, the induced link flow pattern is:
fa1 = 100, fa2 = 100, fa3 = 100.
Dr. Anna Nagurney FOMGT 341 Transportation and Logistics - Lecture 2
15. Generalized Representation of a Transportation Network
Case II:
For O/D pair w1 = (x1, x2), all travelers take path p1 =⇒Fp1 =100,
Fp2 =0.
For O/D pair w2 = (x1, x3), all travelers take path p4 =⇒Fp4 =100,
Fp3 =0.
Here again the induced link flow pattern is:
fa1 = 100, fa2 = 100, fa3 = 100.
Dr. Anna Nagurney FOMGT 341 Transportation and Logistics - Lecture 2