This midterm report summarizes progress on developing a program to generate cohesive zone models (CZM) using Python. The program has successfully generated CZM for basic, single-crack, and single-inclusion models. However, challenges remain in handling more complex multi-crack models. The report proposes addressing this by changing to an object-oriented structure and representing cracks as a tree to properly model crack junctions and updates to elements. Future work will focus on implementing this tree structure in Python while maintaining efficiency.
An experimental evaluation of similarity-based and embedding-based link predi...IJDKP
The task of inferring missing links or predicting future ones in a graph based on its current structure
is referred to as link prediction. Link prediction methods that are based on pairwise node similarity
are well-established approaches in the literature and show good prediction performance in many realworld graphs though they are heuristic. On the other hand, graph embedding approaches learn lowdimensional representation of nodes in graph and are capable of capturing inherent graph features,
and thus support the subsequent link prediction task in graph. This paper studies a selection of
methods from both categories on several benchmark (homogeneous) graphs with different properties
from various domains. Beyond the intra and inter category comparison of the performances of the
methods, our aim is also to uncover interesting connections between Graph Neural Network(GNN)-
based methods and heuristic ones as a means to alleviate the black-box well-known limitation.
This a fake scientific article generated by a computer program. It is the parody of science and a perfect example of the problem of our age: the achievement without actual knowledge and effort.
Event-Driven, Client-Server Archetypes for E-Commerceijtsrd
The networking solution to symmetric encryption [1] is defined not only by the understanding of write-ahead logging, but also by the extensive need for neural networks. In this position paper, we verify the visualization of red-black trees. In this paper we concentrate our efforts on arguing that local-area networks can be made wireless, authenticated, and Bayesian [2]. Chirag Patel"Event-Driven, Client-Server Archetypes for E-Commerce" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-1 , December 2016, URL: http://www.ijtsrd.com/papers/ijtsrd56.pdf http://www.ijtsrd.com/engineering/computer-engineering/56/event-driven-client-server-archetypes-for-e-commerce/chirag-patel
The world has many natural systems that are so complex to be understood easily. This creates a need to have simple
principles or systems that capture the complexity of the world. The simple systems make it easier for many people to
understand the world by representing the complex world in a more straightforward way (Stefan, 2003). Many objects
and projects are seen to be a network of processes or substances. Graphs and networks have been used widely in
different projects for different reasons by project managers mostly. There are techniques such as critical path analysis
that make use of graphs and networks and are applied by project managers and all the staff involved in projects. These
methods are used to ensure smooth planning and control of projects. However, the techniques have to be applied
correctly to achieve the desired objective. This paper looks at the impact of graphs and networks in minimizing the costs
of a project or product. From this research, it can be inferred that the techniques such as critical path method, that make
use of graphs and networks, play a significant role in determining and hence reducing the product cost. This is done by
making the right decisions regarding the resources and time most appropriate for a project. The paper shows clearly
how these techniques are applied in a project to determine project duration and hence minimize the cost.
Mis 589 Massive Success / snaptutorial.comStephenson185
. (TCO A) A ___ defines the format and the order of messages exchanged between 2 or more communicating entities.
2. (TCO A) While the job of the link layer is to move entire frames from one network element to another, The job of the physical layer is to do what?
3. (TCO A) Which of the following is not true about ISO:
4. (TCO A) What are the two fundamental approaches to moving data through a network of links and switches?
5. (TCO A) The IP protocol works at which layer of the OSI model?
An experimental evaluation of similarity-based and embedding-based link predi...IJDKP
The task of inferring missing links or predicting future ones in a graph based on its current structure
is referred to as link prediction. Link prediction methods that are based on pairwise node similarity
are well-established approaches in the literature and show good prediction performance in many realworld graphs though they are heuristic. On the other hand, graph embedding approaches learn lowdimensional representation of nodes in graph and are capable of capturing inherent graph features,
and thus support the subsequent link prediction task in graph. This paper studies a selection of
methods from both categories on several benchmark (homogeneous) graphs with different properties
from various domains. Beyond the intra and inter category comparison of the performances of the
methods, our aim is also to uncover interesting connections between Graph Neural Network(GNN)-
based methods and heuristic ones as a means to alleviate the black-box well-known limitation.
This a fake scientific article generated by a computer program. It is the parody of science and a perfect example of the problem of our age: the achievement without actual knowledge and effort.
Event-Driven, Client-Server Archetypes for E-Commerceijtsrd
The networking solution to symmetric encryption [1] is defined not only by the understanding of write-ahead logging, but also by the extensive need for neural networks. In this position paper, we verify the visualization of red-black trees. In this paper we concentrate our efforts on arguing that local-area networks can be made wireless, authenticated, and Bayesian [2]. Chirag Patel"Event-Driven, Client-Server Archetypes for E-Commerce" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-1 , December 2016, URL: http://www.ijtsrd.com/papers/ijtsrd56.pdf http://www.ijtsrd.com/engineering/computer-engineering/56/event-driven-client-server-archetypes-for-e-commerce/chirag-patel
The world has many natural systems that are so complex to be understood easily. This creates a need to have simple
principles or systems that capture the complexity of the world. The simple systems make it easier for many people to
understand the world by representing the complex world in a more straightforward way (Stefan, 2003). Many objects
and projects are seen to be a network of processes or substances. Graphs and networks have been used widely in
different projects for different reasons by project managers mostly. There are techniques such as critical path analysis
that make use of graphs and networks and are applied by project managers and all the staff involved in projects. These
methods are used to ensure smooth planning and control of projects. However, the techniques have to be applied
correctly to achieve the desired objective. This paper looks at the impact of graphs and networks in minimizing the costs
of a project or product. From this research, it can be inferred that the techniques such as critical path method, that make
use of graphs and networks, play a significant role in determining and hence reducing the product cost. This is done by
making the right decisions regarding the resources and time most appropriate for a project. The paper shows clearly
how these techniques are applied in a project to determine project duration and hence minimize the cost.
Mis 589 Massive Success / snaptutorial.comStephenson185
. (TCO A) A ___ defines the format and the order of messages exchanged between 2 or more communicating entities.
2. (TCO A) While the job of the link layer is to move entire frames from one network element to another, The job of the physical layer is to do what?
3. (TCO A) Which of the following is not true about ISO:
4. (TCO A) What are the two fundamental approaches to moving data through a network of links and switches?
5. (TCO A) The IP protocol works at which layer of the OSI model?
Application Of Extreme Value Theory To Bursts PredictionCSCJournals
Bursts and extreme events in quantities such as connection durations, file sizes, throughput, etc. may produce undesirable consequences in computer networks. Deterioration in the quality of service is a major consequence. Predicting these extreme events and burst is important. It helps in reserving the right resources for a better quality of service. We applied Extreme value theory (EVT) to predict bursts in network traffic. We took a deeper look into the application of EVT by using EVT based Exploratory Data Analysis. We found that traffic is naturally divided into two categories, Internal and external traffic. The internal traffic follows generalized extreme value (GEV) model with a negative shape parameter, which is also the same as Weibull distribution. The external traffic follows a GEV with positive shape parameter, which is Frechet distribution. These findings are of great value to the quality of service in data networks, especially when included in service level agreement as traffic descriptor parameters.
STUDY OF TASK SCHEDULING STRATEGY BASED ON TRUSTWORTHINESS ijdpsjournal
MapReduce is a distributed computing model for cloud computing to process massive data. It simplifies the
writing of distributed parallel programs. For the fault-tolerant technology in the MapReduce programming
model, tasks may be allocated to nodes with low reliability. It causes the task to be reexecuted, wasting time
and resources. This paper proposes a reliability task scheduling strategy with a failure recovery mechanism,
evaluates the trustworthiness of resource nodes in the cloud environment and builds a trustworthiness model.
By using the simulation platform CloudSim, the stability of the task scheduling algorithm and scheduling
model are verified in this paper.
Parallelization of the LBG Vector Quantization Algorithm for Shared Memory Sy...CSCJournals
This paper proposes a parallel approach for the Vector Quantization (VQ) problem in image processing. VQ deals with codebook generation from the input training data set and replacement of any arbitrary data with the nearest codevector. Most of the efforts in VQ have been directed towards designing parallel search algorithms for the codebook, and little has hitherto been done in evolving a parallelized procedure to obtain an optimum codebook. This parallel algorithm addresses the problem of designing an optimum codebook using the traditional LBG type of vector quantization algorithm for shared memory systems and for the efficient usage of parallel processors. Using the codebook formed from a training set, any arbitrary input data is replaced with the nearest codevector from the codebook. The effectiveness of the proposed algorithm is indicated.
A FLOATING POINT DIVISION UNIT BASED ON TAYLOR-SERIES EXPANSION ALGORITHM AND...csandit
Floating point division, even though being an infrequent operation in the traditional sense, is
indis-pensable when it comes to a range of non-traditional applications such as K-Means
Clustering and QR Decomposition just to name a few. In such applications, hardware support
for floating point division would boost the performance of the entire system. In this paper, we
present a novel architecture for a floating point division unit based on the Taylor-series
expansion algorithm. We show that the Iterative Logarithmic Multiplier is very well suited to be
used as a part of this architecture. We propose an implementation of the powering unit that can
calculate an odd power and an even power of a number simultaneously, meanwhile having little
hardware overhead when compared to the Iterative Logarithmic Multiplier.
Multiprocessor scheduling of dependent tasks to minimize makespan and reliabi...ijfcstjournal
Algorithms developed for scheduling applications on heterogeneous multiprocessor system focus on a
single objective such as execution time, cost or total data transmission time. However, if more than one
objective (e.g. execution cost and time, which may be in conflict) are considered, then the problem becomes
more challenging. This project is proposed to develop a multiobjective scheduling algorithm using
Evolutionary techniques for scheduling a set of dependent tasks on available resources in a multiprocessor
environment which will minimize the makespan and reliability cost. A Non-dominated sorting Genetic
Algorithm-II procedure has been developed to get the pareto- optimal solutions. NSGA-II is a Elitist
Evolutionary algorithm, and it takes the initial parental solution without any changes, in all iteration to
eliminate the problem of loss of some pareto-optimal solutions.NSGA-II uses crowding distance concept to
create a diversity of the solutions.
Towards Practical Homomorphic Encryption with Efficient Public key GenerationIDES Editor
With the advent of cloud computing several security
and privacy challenges are put forth. To deal with many of
these privacy issues, ‘processing the encrypted data’ has been
identified as a potential solution, which requires a Fully
Homomorphic Encryption (FHE) scheme. After the
breakthrough work of Craig Gentry in devising an FHE,
several new homomorphic encryption schemes and variants
have been proposed. However, all those theoretically feasible
schemes are not viable for practical deployment due to their
high computational complexities. In this work, a variant of
the DGHV’s integer based Somewhat Homomorphic
Encryption (SHE) scheme with an efficient public key
generation method is presented. The complexities of various
algorithms involved in the scheme are significantly low. The
semantic security of the variant is based on the two-element
Partial Approximate Greatest Common Divisors (PAGCD)
problem. Experimental results prove that the proposed scheme
is very much efficient than any other integer based SHE
scheme existing today and hence practical.
Comparison of Cost Estimation Methods using Hybrid Artificial Intelligence on...IJERA Editor
Cost estimating at schematic design stage as the basis of project evaluation, engineering design, and cost
management, plays an important role in project decision under a limited definition of scope and constraints in
available information and time, and the presence of uncertainties. The purpose of this study is to compare the
performance of cost estimation models of two different hybrid artificial intelligence approaches: regression
analysis-adaptive neuro fuzzy inference system (RANFIS) and case based reasoning-genetic algorithm (CBRGA)
techniques. The models were developed based on the same 50 low-cost apartment project datasets in
Indonesia. Tested on another five testing data, the models were proven to perform very well in term of accuracy.
A CBR-GA model was found to be the best performer but suffered from disadvantage of needing 15 cost drivers
if compared to only 4 cost drivers required by RANFIS for on-par performance.
A tutorial on applying artificial neural networks and geometric brownian moti...eSAT Journals
Abstract Several challenges in the engineering or financial world can be resolved with a proper handle on data. Amongst other applications in engineering, system identification and parameter estimation are widely used in developing control strategies for automation. In this domain, there would be requirements to design an adaptive control system. In order to design an adaptive control system, an adaptive model needs to be estimated or identified. This is generally done by studying the data and creating a transfer function. In the process, regression, artificial neural networks (ANN), random walk theory and Markov chain estimates are used to understand a time series and create a model. While some of these processes are stationary, some are non-stationary. These methods are chosen based on the nature and availability of historical data. One of the issues that always remain is which method is appropriate for a certain application. The objective of this tutorial is to illustrate how artificial neural network and Geometric Brownian motion can be used in this regard. An attempt is made to predict the future price of a stock of a corporation. Stock prices are an example for a stochastic time series. Initially, an artificial neural network is used to predict the stock price. The network is designed as a Multi layer Back propagation type network. Profit over earnings and S&P are used as inputs. Thereafter, Geometric Brownian motion is explained and used on the same dataset to come up with its predictions. The results from both neural network and geometric Brownian motion are compared. Key Words: Artificial Neural Network, Geometric Brownian Motion, Stochastic time series, and stock price prediction
CORRELATION OF EIGENVECTOR CENTRALITY TO OTHER CENTRALITY MEASURES: RANDOM, S...csandit
In this paper, we thoroughly investigate correlations of eigenvector centrality to five centrality
measures, including degree centrality, betweenness centrality, clustering coefficient centrality,
closeness centrality, and farness centrality, of various types of network (random network, smallworld
network, and real-world network). For each network, we compute those six centrality
measures, from which the correlation coefficient is determined. Our analysis suggests that the
degree centrality and the eigenvector centrality are highly correlated, regardless of the type of
network. Furthermore, the eigenvector centrality also highly correlates to betweenness on
random and real-world networks. However, it is inconsistent on small-world network, probably
owing to its power-law distribution. Finally, it is also revealed that eigenvector centrality is
distinct from clustering coefficient centrality, closeness centrality and farness centrality in all
tested occasions. The findings in this paper could lead us to further correlation analysis on
multiple centrality measures in the near future
Research Inventy : International Journal of Engineering and Science is published by the group of young academic and industrial researchers with 12 Issues per year. It is an online as well as print version open access journal that provides rapid publication (monthly) of articles in all areas of the subject such as: civil, mechanical, chemical, electronic and computer engineering as well as production and information technology. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Papers will be published by rapid process within 20 days after acceptance and peer review process takes only 7 days. All articles published in Research Inventy will be peer-reviewed.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
Application Of Extreme Value Theory To Bursts PredictionCSCJournals
Bursts and extreme events in quantities such as connection durations, file sizes, throughput, etc. may produce undesirable consequences in computer networks. Deterioration in the quality of service is a major consequence. Predicting these extreme events and burst is important. It helps in reserving the right resources for a better quality of service. We applied Extreme value theory (EVT) to predict bursts in network traffic. We took a deeper look into the application of EVT by using EVT based Exploratory Data Analysis. We found that traffic is naturally divided into two categories, Internal and external traffic. The internal traffic follows generalized extreme value (GEV) model with a negative shape parameter, which is also the same as Weibull distribution. The external traffic follows a GEV with positive shape parameter, which is Frechet distribution. These findings are of great value to the quality of service in data networks, especially when included in service level agreement as traffic descriptor parameters.
STUDY OF TASK SCHEDULING STRATEGY BASED ON TRUSTWORTHINESS ijdpsjournal
MapReduce is a distributed computing model for cloud computing to process massive data. It simplifies the
writing of distributed parallel programs. For the fault-tolerant technology in the MapReduce programming
model, tasks may be allocated to nodes with low reliability. It causes the task to be reexecuted, wasting time
and resources. This paper proposes a reliability task scheduling strategy with a failure recovery mechanism,
evaluates the trustworthiness of resource nodes in the cloud environment and builds a trustworthiness model.
By using the simulation platform CloudSim, the stability of the task scheduling algorithm and scheduling
model are verified in this paper.
Parallelization of the LBG Vector Quantization Algorithm for Shared Memory Sy...CSCJournals
This paper proposes a parallel approach for the Vector Quantization (VQ) problem in image processing. VQ deals with codebook generation from the input training data set and replacement of any arbitrary data with the nearest codevector. Most of the efforts in VQ have been directed towards designing parallel search algorithms for the codebook, and little has hitherto been done in evolving a parallelized procedure to obtain an optimum codebook. This parallel algorithm addresses the problem of designing an optimum codebook using the traditional LBG type of vector quantization algorithm for shared memory systems and for the efficient usage of parallel processors. Using the codebook formed from a training set, any arbitrary input data is replaced with the nearest codevector from the codebook. The effectiveness of the proposed algorithm is indicated.
A FLOATING POINT DIVISION UNIT BASED ON TAYLOR-SERIES EXPANSION ALGORITHM AND...csandit
Floating point division, even though being an infrequent operation in the traditional sense, is
indis-pensable when it comes to a range of non-traditional applications such as K-Means
Clustering and QR Decomposition just to name a few. In such applications, hardware support
for floating point division would boost the performance of the entire system. In this paper, we
present a novel architecture for a floating point division unit based on the Taylor-series
expansion algorithm. We show that the Iterative Logarithmic Multiplier is very well suited to be
used as a part of this architecture. We propose an implementation of the powering unit that can
calculate an odd power and an even power of a number simultaneously, meanwhile having little
hardware overhead when compared to the Iterative Logarithmic Multiplier.
Multiprocessor scheduling of dependent tasks to minimize makespan and reliabi...ijfcstjournal
Algorithms developed for scheduling applications on heterogeneous multiprocessor system focus on a
single objective such as execution time, cost or total data transmission time. However, if more than one
objective (e.g. execution cost and time, which may be in conflict) are considered, then the problem becomes
more challenging. This project is proposed to develop a multiobjective scheduling algorithm using
Evolutionary techniques for scheduling a set of dependent tasks on available resources in a multiprocessor
environment which will minimize the makespan and reliability cost. A Non-dominated sorting Genetic
Algorithm-II procedure has been developed to get the pareto- optimal solutions. NSGA-II is a Elitist
Evolutionary algorithm, and it takes the initial parental solution without any changes, in all iteration to
eliminate the problem of loss of some pareto-optimal solutions.NSGA-II uses crowding distance concept to
create a diversity of the solutions.
Towards Practical Homomorphic Encryption with Efficient Public key GenerationIDES Editor
With the advent of cloud computing several security
and privacy challenges are put forth. To deal with many of
these privacy issues, ‘processing the encrypted data’ has been
identified as a potential solution, which requires a Fully
Homomorphic Encryption (FHE) scheme. After the
breakthrough work of Craig Gentry in devising an FHE,
several new homomorphic encryption schemes and variants
have been proposed. However, all those theoretically feasible
schemes are not viable for practical deployment due to their
high computational complexities. In this work, a variant of
the DGHV’s integer based Somewhat Homomorphic
Encryption (SHE) scheme with an efficient public key
generation method is presented. The complexities of various
algorithms involved in the scheme are significantly low. The
semantic security of the variant is based on the two-element
Partial Approximate Greatest Common Divisors (PAGCD)
problem. Experimental results prove that the proposed scheme
is very much efficient than any other integer based SHE
scheme existing today and hence practical.
Comparison of Cost Estimation Methods using Hybrid Artificial Intelligence on...IJERA Editor
Cost estimating at schematic design stage as the basis of project evaluation, engineering design, and cost
management, plays an important role in project decision under a limited definition of scope and constraints in
available information and time, and the presence of uncertainties. The purpose of this study is to compare the
performance of cost estimation models of two different hybrid artificial intelligence approaches: regression
analysis-adaptive neuro fuzzy inference system (RANFIS) and case based reasoning-genetic algorithm (CBRGA)
techniques. The models were developed based on the same 50 low-cost apartment project datasets in
Indonesia. Tested on another five testing data, the models were proven to perform very well in term of accuracy.
A CBR-GA model was found to be the best performer but suffered from disadvantage of needing 15 cost drivers
if compared to only 4 cost drivers required by RANFIS for on-par performance.
A tutorial on applying artificial neural networks and geometric brownian moti...eSAT Journals
Abstract Several challenges in the engineering or financial world can be resolved with a proper handle on data. Amongst other applications in engineering, system identification and parameter estimation are widely used in developing control strategies for automation. In this domain, there would be requirements to design an adaptive control system. In order to design an adaptive control system, an adaptive model needs to be estimated or identified. This is generally done by studying the data and creating a transfer function. In the process, regression, artificial neural networks (ANN), random walk theory and Markov chain estimates are used to understand a time series and create a model. While some of these processes are stationary, some are non-stationary. These methods are chosen based on the nature and availability of historical data. One of the issues that always remain is which method is appropriate for a certain application. The objective of this tutorial is to illustrate how artificial neural network and Geometric Brownian motion can be used in this regard. An attempt is made to predict the future price of a stock of a corporation. Stock prices are an example for a stochastic time series. Initially, an artificial neural network is used to predict the stock price. The network is designed as a Multi layer Back propagation type network. Profit over earnings and S&P are used as inputs. Thereafter, Geometric Brownian motion is explained and used on the same dataset to come up with its predictions. The results from both neural network and geometric Brownian motion are compared. Key Words: Artificial Neural Network, Geometric Brownian Motion, Stochastic time series, and stock price prediction
CORRELATION OF EIGENVECTOR CENTRALITY TO OTHER CENTRALITY MEASURES: RANDOM, S...csandit
In this paper, we thoroughly investigate correlations of eigenvector centrality to five centrality
measures, including degree centrality, betweenness centrality, clustering coefficient centrality,
closeness centrality, and farness centrality, of various types of network (random network, smallworld
network, and real-world network). For each network, we compute those six centrality
measures, from which the correlation coefficient is determined. Our analysis suggests that the
degree centrality and the eigenvector centrality are highly correlated, regardless of the type of
network. Furthermore, the eigenvector centrality also highly correlates to betweenness on
random and real-world networks. However, it is inconsistent on small-world network, probably
owing to its power-law distribution. Finally, it is also revealed that eigenvector centrality is
distinct from clustering coefficient centrality, closeness centrality and farness centrality in all
tested occasions. The findings in this paper could lead us to further correlation analysis on
multiple centrality measures in the near future
Research Inventy : International Journal of Engineering and Science is published by the group of young academic and industrial researchers with 12 Issues per year. It is an online as well as print version open access journal that provides rapid publication (monthly) of articles in all areas of the subject such as: civil, mechanical, chemical, electronic and computer engineering as well as production and information technology. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Papers will be published by rapid process within 20 days after acceptance and peer review process takes only 7 days. All articles published in Research Inventy will be peer-reviewed.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
Cornell class reasoning test Form X - Tradução em PortuguêsNuno Franco
Tradução do "Cornell Class reasoning Test Form X", de Robert Ennis, Robert H. Ennis
William L. Gardiner, John Guzzetta, Richard Morrow, Dieter Paulus e LuciIIe Ringel
Teste usado em investigação, mas que pode ser utilizado em contexto de sala de aula para avaliar a capacidade de dedução de alunos com idades compreendidas entre os 11 e 15 anos.
Tradutor: Nuno Henrique Franco
NOTA: Apenas para fins didáticos e académicos, e não comerciais. Eu não detenho o copyright deste documento.
Yagmur Bostanci47 Hackensack Street, East Rutherford, NJ929-22.docxjeffevans62972
Yagmur Bostanci
47 Hackensack Street, East Rutherford, NJ
929-229-8834
[email protected]
EDUCATON
BERKELEY COLLEGE
YORK, UNITED STATES
· Bachelor of Business Management
· Cumulative GPA 3.00
PROFESSIONAL EXPERIENCE
Lincoln House Outreach
303 W 66th St, New York, NY
Nurse
July 2014 – September 2014
· Responsible for the old women in Lincoln House Outreach
· Managing all the payments and organizing listing
· Balancing firm objectives and old women satisfaction
CANDLEWYCK DINNER
East Rutherford, New Jersey, United States
Waitress
· Food delivery
· Fulfill costumer’s wants
· Accounting (Cash, Credit Card, and tax for prices of the food)
TECHNICAL SKILLS
· Phone Settings
· Microsoft Office (Excel, Word, Power point)
· Adobe Photoshop
Overview
1) Overview – The continued discussion of project implementation by covering various scheduling techniques.
2) Background – Per the text, “A schedule is the conversion of a project action plan into an operating timetable.” A schedule is important because each project is unique in its own way. The basic process is to identify all tasks and sequential relationships between them, that is, which tasks must precede or succeed others. There are a number of benefits to the creation and use of these networks. Some of them are as follows:
a) It is a consistent framework for planning, scheduling, and controlling the project.
b) It can be used to determine a start and end date for every project task.
c) It identifies so-called critical activities that, if delayed will delay the project completion.
3) Network Techniques: PERT (ADM) and CPM (PDM) – PERT and CPM are the most commonly used approaches to project scheduling. Both were introduced in the 1950s. PERT has been primarily associated with R&D projects, while CPM with construction projects. Today PERT is not used much since project management software generates CPM style networks. The primary difference between them is that PERT uses probabilistic techniques to determine task durations, while CPM relies on a single duration estimate for each task. Both techniques identify the critical path (tasks that cannot be delayed without delaying the project) and associated float or slack in the schedule. In 2005 the Project Management Institute (PMI) deemed it necessary to change the names of these techniques. According to PMI, PERT is called ADM/PERT (Arrow Diagram Method) and CPM is PDM/CPM (Precedence Diagramming Method).
a) Terminology – Following are the key terms associated with the development and use of networks:
i) Activity – A specific task or set of tasks that have a start and end, and consume resources.
ii) Event – The result of completing one or more activities. Events don’t use resources.
iii) Network – The arrangement of all activities and events in their logical sequence represented by arcs and nodes.
iv) Path – The series of connected activities between any two events in a network.
v) Critical – Activities, events or paths which, if delayed, w.
FRACTAL ANALYSIS OF GOOD PROGRAMMING STYLEcscpconf
This paper studies a new, quantitative approach using fractal geometry to analyze basic tenets of good programming style. Experiments on C source of the GNU/Linux Core Utilities, a
collection of 114 programs or approximately 70,000 lines of code, show systematic changes in style are correlated with statistically significant changes in fractal dimension (P≤0.0009). The data further show positive but weak correlation between lines of code and fractal dimension (r=0.0878). These results suggest the fractal dimension is a reliable metric of changes that
affect good style, the knowledge of which may be useful for maintaining a code base.
This paper studies a new, quantitative approach using fractal geometry to analyse basic tenets
of good programming style. Experiments on C source of the GNU/Linux Core Utilities, a
collection of 114 programs or approximately 70,000 lines of code, show systematic changes in
style are correlated with statistically significant changes in fractal dimension (P≤0.0009). The
data further show positive but weak correlation between lines of code and fractal dimension
(r=0.0878). These results suggest the fractal dimension is a reliable metric of changes that
affect good style, the knowledge of which may be useful for maintaining a code base.
EMPIRICAL APPLICATION OF SIMULATED ANNEALING USING OBJECT-ORIENTED METRICS TO...ijcsa
The work is about using Simulated Annealing Algorithm for the effort estimation model parameter
optimization which can lead to the reduction in the difference in actual and estimated effort used in model
development.
The model has been tested using OOP’s dataset, obtained from NASA for research purpose.The data set
based model equation parameters have been found that consists of two independent variables, viz. Lines of
Code (LOC) along with one more attribute as a dependent variable related to software development effort
(DE). The results have been compared with the earlier work done by the author on Artificial Neural
Network (ANN) and Adaptive Neuro Fuzzy Inference System (ANFIS) and it has been observed that the
developed SA based model is more capable to provide better estimation of software development effort than
ANN and ANFIS
Overview1) Overview – The continued discussion of project implem.docxalfred4lewis58146
Overview
1) Overview – The continued discussion of project implementation by covering various scheduling techniques.
2) Background – Per the text, “A schedule is the conversion of a project action plan into an operating timetable.” A schedule is important because each project is unique in its own way. The basic process is to identify all tasks and sequential relationships between them, that is, which tasks must precede or succeed others. There are a number of benefits to the creation and use of these networks. Some of them are as follows:
a) It is a consistent framework for planning, scheduling, and controlling the project.
b) It can be used to determine a start and end date for every project task.
c) It identifies so-called critical activities that, if delayed will delay the project completion.
3) Network Techniques: PERT (ADM) and CPM (PDM) – PERT and CPM are the most commonly used approaches to project scheduling. Both were introduced in the 1950s. PERT has been primarily associated with R&D projects, while CPM with construction projects. Today PERT is not used much since project management software generates CPM style networks. The primary difference between them is that PERT uses probabilistic techniques to determine task durations, while CPM relies on a single duration estimate for each task. Both techniques identify the critical path (tasks that cannot be delayed without delaying the project) and associated float or slack in the schedule. In 2005 the Project Management Institute (PMI) deemed it necessary to change the names of these techniques. According to PMI, PERT is called ADM/PERT (Arrow Diagram Method) and CPM is PDM/CPM (Precedence Diagramming Method).
a) Terminology – Following are the key terms associated with the development and use of networks:
i) Activity – A specific task or set of tasks that have a start and end, and consume resources.
ii) Event – The result of completing one or more activities. Events don’t use resources.
iii) Network – The arrangement of all activities and events in their logical sequence represented by arcs and nodes.
iv) Path – The series of connected activities between any two events in a network.
v) Critical – Activities, events or paths which, if delayed, will delay the completion of the project.
To construct a network the predecessors and successors of each activity must be identified. Activities that start the network will have no predecessor. Activities that end the network will have no successor. Regardless of the technique used, it is a good practice to link the activities with no other predecessor to a START milestone. Those without any successor should be linked to an END milestone. PDM/CPM networks identify the activities as nodes in the network, called the Activity on Node (AON) network. The arrows in between the nodes depict the predecessor/successor relationships among the activities. The ADM/PERT method, on the other hand, uses Activity on Arrow (AOA) networks. Here the nodes represent .
Overview1) Overview – The continued discussion of .docxalfred4lewis58146
Overview
1)
Overview – The continued discussion of project implementation by covering various scheduling techniques.
2) Background – Per the text, “A schedule is the conversion of a project action plan into an operating timetable.” A schedule is important because each project is unique in its own way. The basic process is to identify all tasks and sequential relationships between them, that is, which tasks must precede or succeed others. There are a number of benefits to the creation and use of these networks. Some of them are as follows:
a) It is a consistent framework for planning, scheduling, and controlling the project.
b) It can be used to determine a start and end date for every project task.
c) It identifies so-called critical activities that, if delayed will delay the project completion.
3) Network Techniques: PERT (ADM) and CPM (PDM) – PERT and CPM are the most commonly used approaches to project scheduling. Both were introduced in the 1950s. PERT has been primarily associated with R&D projects, while CPM with construction projects. Today PERT is not used much since project management software generates CPM style networks. The primary difference between them is that PERT uses probabilistic techniques to determine task durations, while CPM relies on a single duration estimate for each task. Both techniques identify the critical path (tasks that cannot be delayed without delaying the project) and associated float or slack in the schedule. In 2005 the Project Management Institute (PMI) deemed it necessary to change the names of these techniques. According to PMI, PERT is called ADM/PERT (Arrow Diagram Method) and CPM is PDM/CPM (Precedence Diagramming Method).
a) Terminology – Following are the key terms associated with the development and use of networks:
i) Activity – A specific task or set of tasks that have a start and end, and consume resources.
ii) Event – The result of completing one or more activities. Events don’t use resources.
iii) Network – The arrangement of all activities and events in their logical sequence represented by arcs and nodes.
iv) Path – The series of connected activities between any two events in a network.
v) Critical – Activities, events or paths which, if delayed, will delay the completion of the project.
To construct a network the predecessors and successors of each activity must be identified. Activities that start the network will have no predecessor. Activities that end the network will have no successor. Regardless of the technique used, it is a good practice to link the activities with no other predecessor to a START milestone. Those without any successor should be linked to an END milestone. PDM/CPM networks identify the activities as nodes in the network, called the Activity on Node (AON) network. The arrows in between the nodes depict the predecessor/successor relationships among the activities. The ADM/PERT method, on the other hand, uses Activity on Arrow (AOA) networks. Her.
Performance Analysis of Parallel Algorithms on Multi-core System using OpenMP IJCSEIT Journal
The current multi-core architectures have become popular due to performance, and efficient processing of
multiple tasks simultaneously. Today’s the parallel algorithms are focusing on multi-core systems. The
design of parallel algorithm and performance measurement is the major issue on multi-core environment. If
one wishes to execute a single application faster, then the application must be divided into subtask or
threads to deliver desired result. Numerical problems, especially the solution of linear system of equation
have many applications in science and engineering. This paper describes and analyzes the parallel
algorithms for computing the solution of dense system of linear equations, and to approximately compute
the value of π using OpenMP interface. The performances (speedup) of parallel algorithms on multi-core
system have been presented. The experimental results on a multi-core processor show that the proposed
parallel algorithms achieves good performance (speedup) compared to the sequential
Similar to NetworkTeamofRockDamageModelingandEnergyGeostorageSimulation (20)
1. Network Team of Rock Damage Modeling and Energy Geostorage Simulation
Midterm Report: Benchmark Joint Elements, CZM and XFEM
Jianming Zeng
Introduction:
Previous study and implementation has shown great promise on how effectively python
could help generating CZM(cohesive zone model). It’s a very efficient way to generate relatively
large size CZM. With current unique design and implementation, the program is able to
generate CZM in linear time as before and has some level of intelligence that handles similar
models. As of today, the python program could handle various simple FEM(Finite Element
Model) models and turned them into CZM. These simple models include basic, single-crack,
and single-inclusion models(from left to right).
Basic model: cohesive elements in between all elements
Single crack: cohesive elements along one specific path
Single inclusion: cohesive elements around some geometry
Though there are some success in creating CZM, the future study is still challenging. The main
reason is also caused by the unique design and implementation(Discuss later).
Objective:
The objective of this semester is to continue the previous study on creating a smart
program handles as many models as possible. At the same time, the program should be
efficient and user-friendly. To summarize the long term and short term goals:
The ultimate goal of this study is that:
1. The program could handle as many models as possible in linear time (Efficiency).
2. The program could be easily adjusted (Reusability).
3. Package the code.
4. Create a manual/guideline .
The short term goals are:
1. Handle multi-crack model correctly.
2. 2. Change data structure (Object-oriented).
3. Describe elements behavior(wrt abaqus) on shared edges.
Theory:
Correctness and efficiency are the two key factors to be considered when implementing,
and efficiency should be considered before correctness. Why? For example, there are many
ways to calculate the distance between two points. But as we all know the shortest distance
between them is always the Euclidean one. There is always a upper time limit on how fast a
program could be. And therefore, one should always aims for the best complexity during the
implementation process.
In the above chart, it describes most of the complexity in computation. Letter “n” stands for the
size of the data or input. Depends on the type of calculation process and input size, calculation
time could have a significant difference. Though the input size is not under control, calculation
process is something we could make a difference. In a file I/O problem, the best time complexity
one could achieve is linear. The reason is because retrieving information from an input file and
write information to a file line by line takes as many time as the number of lines inside a file. In
other words, if there are 10 lines information within a file we want, the best we could do in this
case is to read line by line, or 10 lines, so that we get information from every line. And therefore,
if we do nothing, just reading information from file and put it back to the file, it takes O(n) + O(n),
or O(n). That is the upper limit performance we could achieve in this problem, and that is the
optimization we should aim for when start implementing.
Another useful theory in this task is graph theory. When constructing a FEM, abaqus
stores the model information in an inp file. This inp file contains two major parts. The geometry
information such as parts, nodes, and elements. And the physical property part controls any
other parameters. The cohesive element insertion is mostly geometrical alteration and abaqus
3. inp file doesn’t define any pairwise element relationship. Therefore graph theory is the best suit
for this task when storing data. Considering
the follow graph:
In abaqus, node is given by its coordinate
and element is made of the nodes ID that define
it(example to the above right). This tells very
little information where to put cohesive zone
elements, and hence searching for the right
place to put cohesive zone can be very
expensive. A naive approach is described in the pseudo:
For element in elements:
For node1 in element:
For node2 in element and node2 != node1:
Edge = (node1, node2)
If edge has neighbour:
Add cohesive elements
4. While this is only a simple version, we can tell is a very bad implementation. For loop is very
costly in term of time optimization. This naive approach constantly visits the same information
over and over again. With small data size the complexity may still look considerably good. But
time complexity grows exponentially in this model. One significant improvement is described by
graph theory. Like the following sketch, we could establish some sort of relationship between
nodes and elements. This implementation could decrease the number of revisit time to achieve
time optimization. In other words, with additional information, we could use a lot less for loop. A
possible pseudo as followed:
For edge in graph:
If elements[edge] contains two edges:
Add cohesive elements:
The actual implementation is more complicated but this set-up only requires one for loop and
therefore O(n).
Object Oriented Programming(OOP) and Data Structure:
5. OOP and data structure offer many options when completing the task. For the sake of
better structure, OOP should be used in
implementing the addition process of cohesive zone
elements. This setup gives a more precise
implementation of the graph theory. Node object
class has coordinate as local variables. And
Element object includes the node’s ID that define it.
Element Set, Node Set and Cohesive Zone Set
objects are optional because it doesn’t change the
geometry with or with putting nodes or elements
into set. So theses objects could be inserted into a
list or array for the same purpose. The graph to the
left is an example of how list or array performs in
term of different operations. Same graphs could be
found online for set and dictionary(hashmap). In
order to keep time complexity and space complexity
as small as possible, one should choose data
structure wisely. For example, list or array is one of
the best options for storing information in order and
set is best for data comparison. After all, list, set
and dictionary could build up the best solution for storing data in general.
Challenge:
The program could handle three major simple CPE4 models and any variation of them
correctly and efficiently, as listed above. And the program has shown great success in practicing
the theories and data structures. But it’s becoming more difficult to extend its functionality to
new models. Homogenous program is hard to achieve.
One problem I am facing is the reactive coding approach. Every time I am provided a
new model, I made some changes to the program in order to fit the need. There are both
advantages and disadvantages with this approach. The good thing is that is’t guaranteed to
handle everything we’ve seen so far correctly. The downside is that the program will always
break when unintended geometry is encountered. And now the downside has becoming a huge
problem.
6. In single crack CZM, I’ve separated the boundary(crack pattern) into upper and lower so that i
only make one new copy for every vertices(left). However, in multi crack CZM, there’s
disjunction like B(right) where fracture splited into 2 sub fractures. If using the same method as
in single crack, the program isn’t able to correctly identify the proper behavior of the middle
elements. This is a result of reactive programing and there isn’t a good solution with current
implementation.
An alteration is to use a tree structure, where nodes on the fracture are tree nodes. Every
node has information about
its parent and it children. This
setup looks like the graph
below.
7. The advantage of storing data in a tree is that for every node, it knows where it came from, so we
could construct cze, and knows how many children it has, the number of sub cracks. This
implementation avoids defining upper or lower bound. Most importantly, we know how many
sub cracks there are so that we update vertices correctly in real time. So far this is only in theory.
I haven’t tested the correctness of this set up.
Pseudo:
For level in tree:
For node in level:
Parent = node.parent
Edge = (Parent, node):
Add cohesive zone elements
Update original elements
Check for duplication at crack tip
ResearchPlan:
There are two urgent adjustments to the program. First, previously I gave up OOP in
hope of a better performance when dealing with new models’ information. It didn't turn out very
well as every time I am given a new model I would have to make a few adjustments eventually.
And OOP is the key factor in implementing the tree structure. After changing back to OOP, I
will implement the tree to represent the crack. In theory, it is a very representation but the actual
performance could be slightly different depends on the whether there is constraint I missed.
References:
[1] Jin, W., Kim, K. & Wang, P. (2015). Hydraulic-Mechanical Analysis of
Damaged Shale Around Horizontal Borehole (02).
[2] Complexity, Time. "Page." TimeComplexity. Python, 15 June 2015. Web. 21 Apr.
2016.
[3] "Slime Mold Grows Network Just Like Tokyo Rail System." Wired.com. Conde Nast
Digital, n.d. Web. 21 Apr. 2016.