Constant Factor Approximation for Intersecting Line Segments with Disks

2018 ◽  
pp. 447-454 ◽  
Author(s):  
Konstantin Kobylkin
Keyword(s):  
Constant Factor ◽  
Line Segments

Discrimination of Occluded Line Segments by Pigeons

2009 ◽  
Author(s):  
Robert G. Cook ◽  
Carl Erick Hagmann
Keyword(s):  
Line Segments

Less is more: Simple stimuli provoke more variable search strategies.

2020 ◽  
Author(s):  
Anna Nowakowska ◽  
Alasdair D F Clarke ◽  
Jessica Christie ◽  
Josephine Reuther ◽  
Amelia R. Hunt
Keyword(s):  
Line Segment ◽  
Search Strategies ◽  
Complex Objects ◽  
Search Behaviour ◽  
Line Segments ◽  
Surface Level ◽  
Efficient Search ◽  
Less Is More ◽  
Dramatic Shift

We measured the efficiency of 30 participants as they searched through simple line segment stimuli and through a set of complex icons. We observed a dramatic shift from highly variable, and mostly inefficient, strategies with the line segments, to uniformly efficient search behaviour with the icons. These results demonstrate that changing what may initially appear to be irrelevant, surface-level details of the task can lead to large changes in measured behaviour, and that visual primitives are not always representative of more complex objects.

Real-time line segments detection based on graphic processor

2009 ◽  
Vol 29 (5) ◽  
pp. 1359-1361
Author(s):  
Tong ZHANG ◽  
Zhao LIU ◽  
Ning OUYANG
Keyword(s):  
Real Time ◽  
Time Line ◽  
Line Segments ◽  
Graphic Processor

Role and rationale of Kaala in the field of Ayurvedic Pharmaceutics - A Conceptual Approach

2017 ◽  
Vol 2 (4) ◽  
Author(s):  
Vrinda Bhat ◽  
Surekha S. Medikeri ◽  
Shobha G. Hiremath
Keyword(s):  
Dosage Form ◽  
Pharmaceutical Preparation ◽  
Vital Role ◽  
Constant Factor ◽  
Conceptual Approach ◽  
Safety And Efficacy ◽  
Significant Aspect ◽  
Definition Of

Samskara is defined as a process of bringing about a desired modification or establishing a change of property in a drug or group of drugs. In the process of Aushadhi Nirmana, varied number of procedures (Samskaras) are adopted to inculcate the desired dosage form and efficacy to the medicine. Among all Samskaras, Kaala plays a vital role in Ayurvedic pharmaceutics. Kaala is a constant factor which follows incoherently in every step of Aushadhi Nirmana. Active principles of plants vary in every season and at different quarters of the day. After the collection of drugs for a pharmaceutical preparation, Kaala plays its role during Paka of various formulations. The definition of pharmaceutics does not end with mere production of a dosage form but also includes its safety and efficacy. Kaala has the potential to influence both these factors. Thus, our Acharyas have provided meticulous information on Ayurvedic pharmaceutics giving prime importance to a minute, yet very significant aspect called “Kaala”.

Nonlinear biobjective optimization: improving the upper envelope using feasible line segments

2021 ◽  
Vol 79 (2) ◽  
pp. 503-520
Author(s):  
Ignacio Araya ◽  
Damir Aliquintui ◽  
Franco Ardiles ◽  
Braulio Lobo
Keyword(s):  
Line Segments ◽  
Biobjective Optimization

scholarly journals Multiscale Detection of Circles, Ellipses and Line Segments, Robust to Noise and Blur

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 25554-25578
Author(s):  
Onofre Martorell ◽  
Antoni Buades ◽  
Jose Luis Lisani
Keyword(s):  
Line Segments ◽  
Robust To Noise

scholarly journals Conditions for the validity of a class of optimal Hilbert type multiple integral inequalities with nonhomogeneous kernels

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Bing He ◽  
Yong Hong ◽  
Zhen Li
Keyword(s):  
Integral Inequality ◽  
Function Method ◽  
Sufficient Conditions ◽  
Integral Operators ◽  
Multiple Integral ◽  
Constant Factor ◽  
Best Constant ◽  
Necessary And Sufficient ◽  
Best Constant Factor ◽  
Hilbert Type

AbstractFor the Hilbert type multiple integral inequality $$ \int _{\mathbb{R}_{+}^{n}} \int _{\mathbb{R}_{+}^{m}} K\bigl( \Vert x \Vert _{m,\rho }, \Vert y \Vert _{n, \rho }\bigr) f(x)g(y) \,\mathrm{d} x \,\mathrm{d} y \leq M \Vert f \Vert _{p, \alpha } \Vert g \Vert _{q, \beta } $$ ∫ R + n ∫ R + m K ( ∥ x ∥ m , ρ , ∥ y ∥ n , ρ ) f ( x ) g ( y ) d x d y ≤ M ∥ f ∥ p , α ∥ g ∥ q , β with a nonhomogeneous kernel $K(\|x\|_{m, \rho }, \|y\|_{n, \rho })=G(\|x\|^{\lambda _{1}}_{m, \rho }/ \|y\|^{\lambda _{2}}_{n, \rho })$ K ( ∥ x ∥ m , ρ , ∥ y ∥ n , ρ ) = G ( ∥ x ∥ m , ρ λ 1 / ∥ y ∥ n , ρ λ 2 ) ($\lambda _{1}\lambda _{2}> 0$ λ 1 λ 2 > 0 ), in this paper, by using the weight function method, necessary and sufficient conditions that parameters p, q, $\lambda _{1}$ λ 1 , $\lambda _{2}$ λ 2 , α, β, m, and n should satisfy to make the inequality hold for some constant M are established, and the expression formula of the best constant factor is also obtained. Finally, their applications in operator boundedness and operator norm are also considered, and the norms of several integral operators are discussed.

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