Cubic curves are commonly used in graphics because curves of lower order commonly have too little flexibility, while curves of higher order are usually considered unnecessarily complex and make it easy to introduce undesired wiggles.
a spline is a flexible strip used to produce a smooth curve through a designated set of points.
Polynomial sections are fitted so that the curve passes through each control point, Resulting curve is said to interpolate the set of control points.
Comprehensive coverage of fundamentals of computer graphics.
3D Transformations
Reflections
3D Display methods
3D Object Representation
Polygon surfaces
Quadratic Surfaces
Cubic curves are commonly used in graphics because curves of lower order commonly have too little flexibility, while curves of higher order are usually considered unnecessarily complex and make it easy to introduce undesired wiggles.
a spline is a flexible strip used to produce a smooth curve through a designated set of points.
Polynomial sections are fitted so that the curve passes through each control point, Resulting curve is said to interpolate the set of control points.
Comprehensive coverage of fundamentals of computer graphics.
3D Transformations
Reflections
3D Display methods
3D Object Representation
Polygon surfaces
Quadratic Surfaces
A Bézier curve is a parametric curve frequently used in computer graphics and related fields. Generalizations of Bézier curves to higher dimensions are called Bézier surfaces, of which the Bézier triangle is a special case.
it is a Visible surface detection method is also known as depth buffer method. In this method detect the visible surface by using the distance of the object from the projections plane.
A Bézier curve is a parametric curve frequently used in computer graphics and related fields. Generalizations of Bézier curves to higher dimensions are called Bézier surfaces, of which the Bézier triangle is a special case.
it is a Visible surface detection method is also known as depth buffer method. In this method detect the visible surface by using the distance of the object from the projections plane.
«Популярная робототехника и 3д-печать», статья в сборнике материалов для учителей «Инженерная аксиология», в помощь работникам образовательных организаций, выпуск 2, Санкт-Петербург 2015, подготовленный к III Межрегиональной очно-заочной научно-практической конференции «Формирование престижа профессии инженера у современных школьников».
Антон Моисеев http://1i7.livejournal.com
Numerical method (curve fitting)
***TOPICS ARE****
Linear Regression
Multiple Linear Regression
Polynomial Regression
Example of Newton’s Interpolation Polynomial And example
Example of Newton’s Interpolation Polynomial And example
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The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
Honest Reviews of Tim Han LMA Course Program.pptxtimhan337
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http://sandymillin.wordpress.com/iateflwebinar2024
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Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
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Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
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This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
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2. Topics that we will cover today.
▪ What do you understand by the solid object?
▪ Method to represent solid object
▪ Boolean set Operation
– Ordinary Boolean Operation on Solids
– Regularized Boolean Operation on Solids
▪ Examples
4. Definition of a Solid Model
▪ A solid model of an object is a more complete representation than its surface
(wireframe) model
▪ Solid is bound by surfaces. So need to also define the polygons of vertices, which
form the solid. It must also be a valid representation.
Wireframe Model Solid Model
5. Ordinary Boolean Operation on Solids
▪ One of the most popular methods for combining objects is by Boolean set
operations, such as union, difference, and intersection
▪ Applying an ordinary Boolean set operation to two solid
objects, however, does not necessarily yield a solid object. For
example, the ordinary Boolean intersections of the cubes in Fig. 12.3(a)
through (e) are a solid, a plane, a line, a point, and the null
object, respectively.
9. Regularized Boolean Operation on Solids
▪ Rather than using the ordinary Boolean set operators, we will instead use
the regularized Boolean set operators, denoted ∪*, ∩*, and −*, and defined
such that operations on solids always yield solids.
▪ For example, the regularized Boolean intersection of the objects shown in
Fig. 12.3 is the same as their ordinary Boolean intersection in cases (a) and
(e), but is empty in (b) through (d).
10. Regularized Boolean Set Operations
Using regularized boolean
operators:
All 3 intersections = NULL
Effectively, we throw away any
results from an operation that is of
lower dimensionality than the
original solids.
11. ▪ boundary / interior points :
– points whose distance from the object and the object’s complement is zero / other
points
▪ closed set
– a set contains all its boundary points
▪ open set
– a set contains none of its boundary points
Regularized Boolean Set Operations
12. ▪ Closure :
– the union of a set with the set of its boundary points
– is a closed set
▪ Boundary :
– the set of closed set’s boundary points
▪ Interior :
– the complement of the boundary with respect to the object
Regularized Boolean Set Operations
13. ▪ regularization :
– the closure of a set’s interior points
▪ regularized Boolean set operator :
– A op* B= closure (interior (A op B))
– only produce the regular set when applied to regular sets
Regularized Boolean Set Operations
Object Closure Interior Regularized Object