JSARToolKit / LiveChromaKey / LivePointers - Next gen of ARYusuke Kawasaki
I gave a talk about the next generation of AR. Pure ActionScript 3.0 libraries of LiveChromaKey and LivePointers made it at the SparkStudy/09 (Spark project勉強会#09)
Try this at: http://www.kawa.net/text/spark/09/spark.html
Part III of the Rates presentations. This one refines the notation for a general claim, and we explore some of the pitfalls and test our knowledge through the example of the Libor in arrears. This one is a little of a breather before attacking part IV
Part IV - not my favorite one, because it feels like enumerating a lot of models and properties, but you need to go though it, and the proper treatment of instantaneous forward and short rate, as well as affine models, since they are historically quite important to the field for financial modeling. Again, all mistakes and typos are mine.
Lecture 6 Inverse Substitutions - MAT 1052.pdfben10uzi
Inverse Substitutions Improper Integrals1
valuate integrals involving square roots of quadratic expressions using: Appropriate trigonometric substitutionsCompletion of the square Decide if a given definite integral is improper.Evaluating improper integrals by finding the suitable limit(s).Use p-test to decide whether an improper integral is convergent or divergentUse the comparison test to decide whether an improper integral is convergent or divergent.2
We discussed most of what one wishes to learn in vector calculus at the undergraduate engineering level. Its also useful for the Physics ‘honors’ and ‘pass’ students.
This was a course I delivered to engineering first years, around 9th November 2009. But I have added contents to make it more understandable, eg I added all the diagrams and many explanations only now; 14-18th Aug 2015.
More such lectures will follow soon. Eg electromagnetism and electromagnetic waves !
Predicting US house prices using Multiple Linear Regression in RSotiris Baratsas
In this study, we attempted to formulate a Multiple Linear Regression model, to predict US house prices.
Steps involved:
Perform descriptive analysis and visualisation for each variable to get an initial insight of what the data looks like.
Conduct pairwise comparisons between the variables in the dataset to investigate if there are any associations implied by the dataset.
Construct a model for the expected selling prices according to the remaining features. Check whether this linear model fits well to the data.
Find the best model for predicting the selling prices and select the appropriate features using stepwise methods (used Forward, Backward and Stepwise procedures according to AIC or BIC to choose which variables appear to be more significant for predicting selling prices).
Get the summary of our final model, interpret the coefficients. Comment on the significance of each coefficient and write down the mathematical formulation of the model. Consider whether the intercept should be excluded from our model.
Check the assumptions of your final model. Are the assumptions satisfied? If not, what is the impact of the violation of the assumption not satisfied in terms of inference? What could someone do about it?
Conduct LASSO as a variable selection technique and compare the variables that we end up having using LASSO to the variables that you ended up having using stepwise methods.
JSARToolKit / LiveChromaKey / LivePointers - Next gen of ARYusuke Kawasaki
I gave a talk about the next generation of AR. Pure ActionScript 3.0 libraries of LiveChromaKey and LivePointers made it at the SparkStudy/09 (Spark project勉強会#09)
Try this at: http://www.kawa.net/text/spark/09/spark.html
Part III of the Rates presentations. This one refines the notation for a general claim, and we explore some of the pitfalls and test our knowledge through the example of the Libor in arrears. This one is a little of a breather before attacking part IV
Part IV - not my favorite one, because it feels like enumerating a lot of models and properties, but you need to go though it, and the proper treatment of instantaneous forward and short rate, as well as affine models, since they are historically quite important to the field for financial modeling. Again, all mistakes and typos are mine.
Lecture 6 Inverse Substitutions - MAT 1052.pdfben10uzi
Inverse Substitutions Improper Integrals1
valuate integrals involving square roots of quadratic expressions using: Appropriate trigonometric substitutionsCompletion of the square Decide if a given definite integral is improper.Evaluating improper integrals by finding the suitable limit(s).Use p-test to decide whether an improper integral is convergent or divergentUse the comparison test to decide whether an improper integral is convergent or divergent.2
We discussed most of what one wishes to learn in vector calculus at the undergraduate engineering level. Its also useful for the Physics ‘honors’ and ‘pass’ students.
This was a course I delivered to engineering first years, around 9th November 2009. But I have added contents to make it more understandable, eg I added all the diagrams and many explanations only now; 14-18th Aug 2015.
More such lectures will follow soon. Eg electromagnetism and electromagnetic waves !
Predicting US house prices using Multiple Linear Regression in RSotiris Baratsas
In this study, we attempted to formulate a Multiple Linear Regression model, to predict US house prices.
Steps involved:
Perform descriptive analysis and visualisation for each variable to get an initial insight of what the data looks like.
Conduct pairwise comparisons between the variables in the dataset to investigate if there are any associations implied by the dataset.
Construct a model for the expected selling prices according to the remaining features. Check whether this linear model fits well to the data.
Find the best model for predicting the selling prices and select the appropriate features using stepwise methods (used Forward, Backward and Stepwise procedures according to AIC or BIC to choose which variables appear to be more significant for predicting selling prices).
Get the summary of our final model, interpret the coefficients. Comment on the significance of each coefficient and write down the mathematical formulation of the model. Consider whether the intercept should be excluded from our model.
Check the assumptions of your final model. Are the assumptions satisfied? If not, what is the impact of the violation of the assumption not satisfied in terms of inference? What could someone do about it?
Conduct LASSO as a variable selection technique and compare the variables that we end up having using LASSO to the variables that you ended up having using stepwise methods.
Quality defects in TMT Bars, Possible causes and Potential Solutions.PrashantGoswami42
Maintaining high-quality standards in the production of TMT bars is crucial for ensuring structural integrity in construction. Addressing common defects through careful monitoring, standardized processes, and advanced technology can significantly improve the quality of TMT bars. Continuous training and adherence to quality control measures will also play a pivotal role in minimizing these defects.
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
Vaccine management system project report documentation..pdfKamal Acharya
The Division of Vaccine and Immunization is facing increasing difficulty monitoring vaccines and other commodities distribution once they have been distributed from the national stores. With the introduction of new vaccines, more challenges have been anticipated with this additions posing serious threat to the already over strained vaccine supply chain system in Kenya.
COLLEGE BUS MANAGEMENT SYSTEM PROJECT REPORT.pdfKamal Acharya
The College Bus Management system is completely developed by Visual Basic .NET Version. The application is connect with most secured database language MS SQL Server. The application is develop by using best combination of front-end and back-end languages. The application is totally design like flat user interface. This flat user interface is more attractive user interface in 2017. The application is gives more important to the system functionality. The application is to manage the student’s details, driver’s details, bus details, bus route details, bus fees details and more. The application has only one unit for admin. The admin can manage the entire application. The admin can login into the application by using username and password of the admin. The application is develop for big and small colleges. It is more user friendly for non-computer person. Even they can easily learn how to manage the application within hours. The application is more secure by the admin. The system will give an effective output for the VB.Net and SQL Server given as input to the system. The compiled java program given as input to the system, after scanning the program will generate different reports. The application generates the report for users. The admin can view and download the report of the data. The application deliver the excel format reports. Because, excel formatted reports is very easy to understand the income and expense of the college bus. This application is mainly develop for windows operating system users. In 2017, 73% of people enterprises are using windows operating system. So the application will easily install for all the windows operating system users. The application-developed size is very low. The application consumes very low space in disk. Therefore, the user can allocate very minimum local disk space for this application.
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.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
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
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.
Event Management System Vb Net Project Report.pdfKamal Acharya
In present era, the scopes of information technology growing with a very fast .We do not see any are untouched from this industry. The scope of information technology has become wider includes: Business and industry. Household Business, Communication, Education, Entertainment, Science, Medicine, Engineering, Distance Learning, Weather Forecasting. Carrier Searching and so on.
My project named “Event Management System” is software that store and maintained all events coordinated in college. It also helpful to print related reports. My project will help to record the events coordinated by faculties with their Name, Event subject, date & details in an efficient & effective ways.
In my system we have to make a system by which a user can record all events coordinated by a particular faculty. In our proposed system some more featured are added which differs it from the existing system such as security.
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.
9. 5.8. SOME DEFINITIONS INVOLVING DIV, CURL AND GRAD 59
y
x
ax(y)
a(x)y
ax(y+dy)
ay(x+dx)
dx
dy
y
y
x x+dx
y+dy
Figure 5.5: (a) A rough sketch of the vector field
¨ ') 0 ¤ '2 . (b) An element in which to calculate curl.
The fields in the
¤ direction at the bottom and top are
¦ (
¢ ¨ $ # % ¦ (
¢¥¨ 0
@
¨ ¦ (
¢¥¨ 0
¦ ( ¨ @
¨
and the fields in the
¨ direction at the left and right are
¦ 5
¢¤ $ # % ¦ 5
¢¤ 0
@
¤ §¦ 5
¢¤ 0
¦ 5 ¤ @
¤
Starting at the bottom and working round in the anticlockwise sense, the four contributions to the circu-
lation
@
are therefore as follows, where the minus signs take account of the path being oppose to the
field:
@
0 ¦ (
¢ ¨
@
¤ 0 ¦ 5
¢¥¤ 0
@
¤
@
¨ ¦ (
¢ ¨ 0
@
¨
@
¤ ¦ 5
¢¤
@
¨
0 ¦ (
¢ ¨
@
¤ 0
B
¦ 5
¢¤ 0
¦ 5 ¤ @
¤
@
¨ D
B
¦ (
¢¥¨ 0
¦ ( ¨ @
¨
@
¤ D
¦ 5
¢¤
@
¨
¦ 5 ¤
¦ ( ¨
@
¤
@
¨
¢ 7§ ¥
@65
where
@65 @
¤
@
¨ '4 .
NB: Again, this is not a completely rigorous proof as we have not shown that the result is independent
of the co-ordinate system used.
5.8 Some definitions involving div, curl and grad
A vector field with zero divergence is said to be solenoidal.
A vector field with zero curl is said to be irrotational.
A scalar field with zero gradient is said to be, er, well, constant.
IDR October 21, 2003
16. 66 LECTURE 6. VECTOR OPERATOR IDENTITIES
w
u
y
The scale params are
h (v) dw
h (v+dv) dw
h (v+dv) du
h (v) du
u
w
w
u
h dvv
functions of u,v,w
Figure 6.1: Elemental volume for calculating divergence in orthogonal curvilinear coordinates
So, finally,
%6¨ ¥
!
¢ ¦ !
0
¢ ¦ !
0
¢ ¦ !
6.12 Curl in curvilinear coordinates
Recall from Lecture 5 that we computed the
component of curl as the circulation per unit area — the
contents of the brackets
¢ in the expression for the element of circulation
@
¦ 5 ¤
¦ ( ¨
@
¤
@
¨
By analogy with our derivation of divergence, you will realize that for an orthogonal curvilinear coordi-
nate system we can write the area as ! @
@
. But the opposite sides are no longer quite of the same
length. The lower of the pair in Figure 6.2 is length ¢
@
, but the upper is of length ¢ 0
@
@
Summing this pair gives a contribution to the circulation
¦ ¢ ¢
@
¦ ¢ 0
@
¢ 0
@
@
¢ ¦
@
@
and together with the other pair:
@
¢ ¦
0
¢ ! ¦ !
@
@
So the circulation per unit area is
@
! @
@
!
¢ ! ¦ !
¢ ¦