Search

Existing line segment detectors break perceptually contiguous linear structures into multiple line segments. This can be offset by re-merging the segments, but existing merging algorithms over-merge and produce globally incorrect segments. Geometric cues are necessary but not sufficient for deciding whether to merge two segments or not. By restricting the result of any merging decision to have underlying image support, we reduce over-merging and globally incorrect segments. We propose a novel measure for evaluating merged segments based on line segment Hausdorff distance. On images from YorkUrbanDB, we show that our algorithm improves both qualitative and quantitative results obtained from four existing line segment detection methods and is better than two existing line segment merging methods. Our method does not suffer from inconsistent results produced by four recent deep learning-based models. The method is easily customisable to work for line drawings such as hand-drawn maps to obtain vectorized representations. [ABSTRACT FROM AUTHOR]

The aim of this paper is to introduce two new subclasses R sin m (ℑ) and R sin (ℑ) of analytic functions by making use of subordination involving the sine function and the modified sigmoid activation function ℑ (v) = 2 1 + e − v , v ≥ 0 in the open unit disc E. Our purpose is to obtain some initial coefficients, Fekete–Szego problems, and upper bounds for the third- and fourth-order Hankel determinants for the functions belonging to these two classes. All the bounds that we will find here are sharp. We also highlight some known consequences of our main results. [ABSTRACT FROM AUTHOR]

In this research article, we introduce new family R G of holomorphic functions, which is related to the generalized bounded turning and generating functions of Gregory coefficients. Leveraging the concept of functions with positive real parts, we acquire the first five coefficients for the functions belonging to this newly defined family, demonstrating their sharpness. Furthermore, we find the third Hankel determinant for functions in the class R G . Moreover, the sharp bounds for logarithmic and inverse coefficients of functions belonging to the under-considered class R G are estimated. [ABSTRACT FROM AUTHOR]

Existing generative adversarial network-based methods for facial expression synthesis require larger datasets for training. Their performance tends to decrease noticeably when trained on smaller datasets. Moreover, they demand higher computational and spatial complexity at inference, making them unsuitable for resource-constrained devices. To address these limitations, this paper presents a linear formulation to learn Localized and Sparse Receptive Fields (LSRF) for facial expression synthesis considering global face context. In this approach, we extend the sparsity-inducing formulation of the Orthogonal Matching Pursuit (OMP) algorithm by incorporating a locality constraint. This constraint ensures that i) each output pixel observes a localized region and ii) neighboring output pixels attend proximate regions of the input face image. Extensive qualitative as well as quantitative experiments demonstrate that the proposed method generates realistic facial expressions and outperforms existing methods. Further, the proposed method can be trained by employing significantly smaller datasets while exhibiting good generalization capabilities for out-of-distribution images. [ABSTRACT FROM AUTHOR]

We demonstrate the benefit of using an ultimate skip (US) connection for facial expression synthesis using generative adversarial networks (GAN). A direct connection transfers identity, facial, and color details from input to output while suppressing artifacts. The intermediate layers can therefore focus on expression generation only. This leads to a light-weight US-GAN model comprised of encoding layers, a single residual block, decoding layers, and an ultimate skip connection from input to output. US-GAN has 3 × fewer parameters than state-of-the-art models and is trained on 2 orders of magnitude smaller dataset. It yields 7% increase in face verification score (FVS) and 27% decrease in average content distance (ACD). Based on a randomized user-study, US-GAN outperforms the state of the art by 25% in face realism, 43% in expression quality, and 58% in identity preservation. [ABSTRACT FROM AUTHOR]

Demand for food is progressively becoming challenging for ever increasing population worldwide. Majority of the discussion have focused on growing crop yield which has continuously sustained a vital approach to lessen food insecurity. Nevertheless, in spite of the fact that adequate food is presently produced per capita to nourish the population worldwide but yet a reasonable population suffers from food insecurity especially in under-developed republics. Fulfillment of upcoming food request will be more intricate by harmful variations in climate and other ecological influences, global climate change. This current paper presents true picture of a food systems method to investigate the multifaceted food security arena and highlights numerous substitutes to cop up this situation. These encompass (i) giving a outline for organizing discussions intended at increasing food security and recognizing the variety of interested parties who should be intricate; (ii) participating studies of the complete network of food system doings starting from crop harvesting to consumption of the produced food by those of the food security results i.e. continuous supply chain over yearly, consumption and accessibility rather tan merely focusing on crop production (iii) serving to both evaluate the effects of global ecological conservation on food systems and find responses to the earth system from food system activities; (iv) helping to identify intervention points for enhancing food security and examining interactions and trade-offs between bionetwork facilities and food security, and community welfare results of diverse adaptation paths; and motivation of health-care institution for augmentation of human health services (v) pinpointing where innovative study is desired. [ABSTRACT FROM AUTHOR]

Cotton is the main cash crop and back bone of agriculture. However, its yield is decreasing due to insect pests attack. Among them, sucking insect pests are serious problem in cotton and various agricultural crops. Hence, present research work was executed to assess the toxicity of some synthetic insecticides against Thrips tabaci in cotton crop. The research trial was executed with varied planting geometry under different irrigation regimes. Sowing of the cotton crop was done with plant to plant distance of 30 and 60 cm while row to row distance was 4 ft. apart. The plants were irrigated under single lateral and double lateral arrangements of drip irrigation while control plot was irrigated through conventional surface irrigation method. Results of relative incidence of thrips population on different irrigation plots showed that highest thrips population (19.43/plant) was noted in case of flood irrigated plot having plant to plant distance of 30 cm followed by in double lateral drip irrigation plot (15/plant) and single lateral plot (13.10 thrips/plant). Comparatively lower mean thrips population values; 16.30, 12.40 and 10.56 thrips/plant, respectively were recorded in experimental plot under 60 cm plant to plant distance. Toxicity bioassays revealed that highest reduction (75.27%) was recorded in spinetoram while lowest thrips population reduction (28.18%) was recorded in case of spinosad. It can be concluded that spinetoram can be effective tool for efficient control of thrips leading to augmentation in cotton crop yield. [ABSTRACT FROM AUTHOR]

Recognition of Arabic-like scripts such as Persian and Urdu is more challenging than Latin-based scripts. This is due to the presence of a two-dimensional structure, context-dependent character shapes, spaces and overlaps, and placement of diacritics. We present an attention based encoder-decoder model that learns to read handwritten text in context. A novel localization penalty is introduced to encourage the model to attend only one location at a time when recognizing the next character. In addition, we comprehensively refine the only complete and publicly available handwritten Urdu dataset in terms of ground-truth annotations. We evaluate the model on both Urdu and Arabic datasets. For Urdu, contextual attention localization achieves 82.06 % character recognition rate and 51.97 % word recognition rate which represent more than 2 × improvement over existing bi-directional LSTM models. For Arabic, the model outperforms multi-directional LSTM models with 77.47 % character recognition rate and 37.66 % word recognition rate without performing any slant or skew correction. Code and pre-trained models for this work are available at https://github.com/nazar-khan/CALText. [ABSTRACT FROM AUTHOR]

In mathematical analysis, the q-analogue of a function refers to a modified version of the function that is derived from q-series expansions. This paper is focused on the q-analogue of the exponential function and investigates a class of convex functions associated with it. The main objective is to derive precise inequalities that bound the coefficients of these convex functions. In this research, the initial coefficient bounds, Fekete–Szegő problem, second and third Hankel determinant have been determined. These coefficient bounds provide valuable information about the behavior and properties of the functions within the considered class. [ABSTRACT FROM AUTHOR]

In this study, we investigate a possible relationship between fuzzy differential subordination and the theory of geometric functions. First, using the Al-Oboudi differential operator and the Babalola convolution operator, we establish the new operator BS α , λ m , t : A n → A n in the open unit disc U. The second step is to develop fuzzy differential subordination for the operator BS α , λ m , t . By considering linear transformations of the operator BS α , λ m , t , we define a new fuzzy class of analytic functions in U which we denote by T ϝ λ , t (m , α , δ) . Several innovative results are found using the concept of fuzzy differential subordination and the operator BS α , λ m , t for the function f in the class T ϝ λ , t (m , α , δ) . In addition, we explore a number of examples and corollaries to illustrate the implications of our key findings. Finally, we highlight several established results to demonstrate the connections between our work and existing studies. [ABSTRACT FROM AUTHOR]

In this research, we define a few subclasses of analytic functions which are connected to sine functions and the cardioid domain in the unit disk. We investigate initial coefficient bounds, the Fekete–Szego problem and second and third Hankel determinants for the functions f belonging to these newly defined classes. We also define the class of m-fold symmetric functions related with the sine function and then investigate the bounds of the third Hankel determinant for twofold symmetric and threefold symmetric functions. [ABSTRACT FROM AUTHOR]

In this paper, we use the concept of quantum (or q -) calculus and define a q -analogous of a fractional differential operator and discuss some of its applications. We consider this operator to define new subclasses of uniformly q -starlike and q -convex functions associated with a new generalized conic domain, Λ β , q , γ . To begin establishing our key conclusions, we explore several novel lemmas. Furthermore, we employ these lemmas to explore some important features of these two classes, for example, inclusion relations, coefficient bounds, Fekete–Szego problem, and subordination results. We also highlight many known and brand-new specific corollaries of our findings. [ABSTRACT FROM AUTHOR]

This work is concerned with the branch of complex analysis known as geometric function theory, which has been modified for use in the study of fuzzy sets. We develop a novel operator L α , λ m : A n → A n in the open unit disc Δ using the Noor integral operator and the generalized Sălăgean differential operator. First, we develop fuzzy differential subordination for the operator L α , λ m and then, taking into account this operator, we define a particular fuzzy class of analytic functions in the open unit disc Δ , represented by R ϝ λ (m , α , δ) . Using the idea of fuzzy differential subordination, several new results are discovered that are relevant to this class. The fundamental theorems and corollaries are presented, and then examples are provided to illustrate their practical use. [ABSTRACT FROM AUTHOR]

Many researchers have defined the q-analogous of differential and integral operators for analytic functions using the concept of quantum calculus in the geometric function theory. In this study, we conduct a comprehensive investigation to identify the uses of the Sălăgean q-differential operator for meromorphic multivalent functions. Many features of functions that belong to geometrically defined classes have been extensively studied using differential operators based on q-calculus operator theory. In this research, we extended the idea of the q-analogous of the Sălăgean differential operator for meromorphic multivalent functions using the fundamental ideas of q-calculus. With the help of this operator, we extend the family of Janowski functions by adding two new subclasses of meromorphic q-starlike and meromorphic multivalent q-starlike functions. We discover significant findings for these new classes, including the radius of starlikeness, partial sums, distortion theorems, and coefficient estimates. [ABSTRACT FROM AUTHOR]

We present a new family of s-fold symmetrical bi-univalent functions in the open unit disc in this work. We provide estimates for the first two Taylor–Maclaurin series coefficients for these functions. Furthermore, we define the Salagean differential operator and discuss various applications of our main findings using it. A few new and well-known corollaries are studied in order to show the connection between recent and earlier work. [ABSTRACT FROM AUTHOR]

Motivated by the recent work on symmetric analytic functions by using the concept of Faber polynomials, this article introduces and studies two new subclasses of bi-close-to-convex and quasi-close-to-convex functions associated with Janowski functions. By using the Faber polynomial expansion method, it determines the general coefficient bounds for the functions belonging to these classes. It also finds initial coefficients of bi-close-to-convex and bi-quasi-convex functions by using Janowski functions. Some known consequences of the main results are also highlighted. [ABSTRACT FROM AUTHOR]

This paper introduces a new fractional operator by using the concepts of fractional q-calculus and q-Mittag-Leffler functions. With this fractional operator, Janowski functions are generalized and studied regarding their certain geometric characteristics. It also establishes the solution of the complex Briot–Bouquet differential equation by using the newly defined operator. [ABSTRACT FROM AUTHOR]

A new species, Allium sulaimanicum, is described from northern Balochistan and southern Khyber Pakhtunkhwa in Pakistan based on morphological, molecular, and cytological studies. The new species is characterised by long runner-like cylindrical rhizomes of adult plants, cylindrical bulbs, linear leaves with minute soft hairs along veins, campanulate perigonium, and white to creamy white, ovate to elliptical, 4.5-5-mm-long acute tepals, with brownish to purplish nerves, stamens as long as to slightly longer than tepals, yellow to brick red anthers, hexagonal ovary, and white and papillate/warty along angles. The presence of long herbaceous rhizomes indicated serious isolation of the new species; hence, a new section Sulaimanicum is proposed to accommodate the new species. The new species is diploid with a chromosome number of 2n = 16. Detailed morphological description, illustrations, phylogenetic analyses based on sequences of plastid spacers (rp/32-trnL (UAG) and trnQ-rps16) and nuclear ITS, karyotype features, and a distribution map of the new species are provided. [ABSTRACT FROM AUTHOR]

Resource-constrained IoT devices, such as sensors and actuators, have become ubiquitous in recent years. This has led to the generation of large quantities of data in real-time, which is an appealing target for AI systems. However, deploying machine learning models on such end-devices is nearly impossible. A typical solution involves offloading data to external computing systems (such as cloud servers) for further processing but this worsens latency, leads to increased communication costs, and adds to privacy concerns. To address this issue, efforts have been made to place additional computing devices at the edge of the network, i.e., close to the IoT devices where the data is generated. Deploying machine learning systems on such edge computing devices alleviates the above issues by allowing computations to be performed close to the data sources. This survey describes major research efforts where machine learning systems have been deployed at the edge of computer networks, focusing on the operational aspects including compression techniques, tools, frameworks, and hardware used in successful applications of intelligent edge systems. [ABSTRACT FROM AUTHOR]

In recent years, many authors have studied and investigated majorization results for different subclasses of analytic functions. In this paper, we give some majorization results for certain non vanishing analytic functions, whose ratios are subordinated to different domains in the open unit disk. [ABSTRACT FROM AUTHOR]

In the past few years, many scholars gave much attention to the use of q-calculus in geometric functions theory, and they defined new subclasses of analytic and harmonic functions. While using the symmetric q-calculus in geometric function theory, very little work has been published so far. In this research, with the help of fundamental concepts of symmetric q-calculus and the symmetric q-Salagean differential operator for harmonic functions, we define a new class of harmonic functions connected with Janowski functions S H 0 ˜ m , q , A , B . First, we illustrate the necessary and sufficient convolution condition for S H 0 ˜ m , q , A , B and then prove that this sufficient condition is a sense preserving and univalent, and it is necessary for its subclass TS H 0 ˜ m , q , A , B . Furthermore, by using this necessary and sufficient coefficient condition, we establish some novel results, particularly convexity, compactness, radii of q-starlike and q-convex functions of order α , and extreme points for this newly defined class of harmonic functions. Our results are the generalizations of some previous known results. [ABSTRACT FROM AUTHOR]

Many diverse subclasses of analytic functions, q-starlike functions, and symmetric q-starlike functions have been studied and analyzed by using q-analogous values of integral and derivative operators. In this paper, we define a q-analogous value of differential operators for harmonic functions with the help of basic concepts of quantum (q-) calculus operator theory; and introduce a new subclass of harmonic functions associated with the Janowski and q-Mittag–Leffler functions. We obtain several useful properties of the new class, such as necessary and sufficient conditions, criteria for analyticity, compactness, convexity, extreme points, radii of starlikeness, radii of convexity, distortion bounds, and integral mean inequality. Furthermore, we discuss some applications of this study in the form of some results and examples and highlight some known corollaries for verifying our main results presented in this investigation. Finally, the conclusion section summarizes the fact about the (p , q) -variations. [ABSTRACT FROM AUTHOR]

In this paper, using the basic concepts of symmetric q -calculus operator theory, we define a symmetric q -difference operator for m -fold symmetric functions. By considering this operator, we define a new subclass ℛ b φ , m , q of m -fold symmetric bi-univalent functions in open unit disk U. As in applications of Faber polynomial expansions for f m ∈ ℛ b φ , m , q , we find general coefficient a m k + 1 for n ≥ 4 , Fekete–Szegő problems, and initial coefficients a m + 1 and a 2 m + 1 . Also, we construct q -Bernardi integral operator for m -fold symmetric functions, and with the help of this newly defined operator, we discuss some applications of our main results. For validity of our result, we have chosen to give some known special cases of our main results in the form of corollaries and remarks. [ABSTRACT FROM AUTHOR]

By making use of some families of integral and derivative operators, many distinct subclasses of analytic, starlike functions, and symmetric starlike functions have already been defined and investigated from numerous perspectives. In this article, with the help of the one-parameter Bernardi integral operator, we investigate several majorization results for the class of normalized starlike functions, which are associated with the Janowski functions. We also give some particular cases of our main results. Finally, we direct the interested readers to the possibility of examining the fundamental or quantum (or q -) extensions of the findings provided in this work in the concluding section. However, the (p , q) -variations of the suggested q -results will provide relatively minor and inconsequential developments because the additional (rather forced-in) parameter p is obviously redundant. [ABSTRACT FROM AUTHOR]

By using the basic (or q)-Calculus many subclasses of analytic and univalent functions have been generalized and studied from different viewpoints and perspectives. In this paper, we aim to define certain new subclasses of an analytic function. We then give necessary and sufficient conditions for each of the defined function classes. We also study necessary and sufficient conditions for a function whose coefficients are probabilities of q-Poisson distribution. To validate our results, some known consequences are also given in the form of Remarks and Corollaries. [ABSTRACT FROM AUTHOR]

The primary objective of this study is to establish a class of starlike functions (symmetric under rotation) that are related to a tangent hyperbolic. Integral preserving properties along with the sufficiency criteria involving coefficients are investigated for the same class. Differential subordinations problems, which are linked to Janowski and tangent hyperbolic functions, are also discussed. We also utilize these findings to find sufficient conditions for the starlike functions. [ABSTRACT FROM AUTHOR]

In this article we have defined two new subclasses of analytic functions k − S q [ A , B ] and k − K q [ A , B ] by using q-difference operator in an open unit disk. Furthermore, the necessary and sufficient conditions along with certain other useful properties of these newly defined subclasses have been calculated by using q-difference operator. [ABSTRACT FROM AUTHOR]

In this paper, the theory of symmetric q-calculus and conic regions are used to define a new subclass of q-starlike functions involving a certain conic domain. By means of this newly defined domain, a new subclass of normalized analytic functions in the open unit disk E is given. Certain properties of this subclass, such as its structural formula, necessary and sufficient conditions, coefficient estimates, Fekete–Szegö problem, distortion inequalities, closure theorem and subordination results, are investigated. Some new and known consequences of our main results as corollaries are also highlighted. [ABSTRACT FROM AUTHOR]

In recent years, the Hankel determinant bounds for different subclasses of analytic, starlike and symmetric starlike functions have been discussed and studied by the many well-known authors. In this paper, we first consider a new subclass of analytic function and then we derive the fourth Hankel determinant bound for this class. [ABSTRACT FROM AUTHOR]

In our present investigation, we obtain the improved third-order Hankel determinant for a class of starlike functions connected with modified sigmoid functions. Further, we investigate the fourth-order Hankel determinant, Zalcman conjecture, and also evaluate the fourth-order Hankel determinants for 2-fold, 3-fold, and 4-fold symmetric starlike functions. [ABSTRACT FROM AUTHOR]

In our present investigation, by applying q -calculus operator theory, we define some new subclasses of m -fold symmetric analytic and bi-univalent functions in the open unit disk U = z ∈ ℂ : z < 1 and use the Faber polynomial expansion to find upper bounds of a m k + 1 and initial coefficient bounds for a m + 1 and a 2 m + 1 as well as Fekete-Szego inequalities for the functions belonging to newly defined subclasses. Also, we highlight some new and known corollaries of our main results. [ABSTRACT FROM AUTHOR]

In the present investigation, with the help of certain higher-order q-derivatives, some new subclasses of multivalent q-starlike functions which are associated with the Janowski functions are defined. Then, certain interesting results, for example, radius problems and the results related to distortion, are derived. We also derive a sufficient condition and certain coefficient inequalities for our defined function classes. Some known consequences related to this subject are also highlighted. Finally, the well-demonstrated fact about the (p , q) -variations is also given in the concluding section. [ABSTRACT FROM AUTHOR]

In this article, we introduce a new subclass of analytic functions utilizing the idea of Mittag-Leffler type Poisson distribution associated with the Janowski functions. Further, we discuss some important geometric properties like necessary and sufficient condition, convex combination, growth and distortion bounds, Fekete-Szegö inequality, and partial sums for this newly defined class. [ABSTRACT FROM AUTHOR]

In the present paper, by using the concept of convolution and q-calculus, we define a certain q-derivative (or q-difference) operator for analytic and multivalent (or p-valent) functions. This presumably new q-derivative operator is an extension of the known q-analogue of the Ruscheweyh derivative operator. We also give some interesting applications of this q-derivative operator for multivalent functions by using the method of differential subordination. Relevant connections with a number of earlier works on this subject are also pointed out. [ABSTRACT FROM AUTHOR]

Three new subfamilies of multivalent (or p -valent) q-starlike functions with respect to higher-order q-derivatives are introduced. Several properties of such families of qstarlike functions with negative coefficients including distortion theorems and radius problems are derived. For the motivation and validity of the results which are presented here, relevant connections of our findings with those that were given in earlier work are also pointed out. Finally, we have chosen to reiterate the well-demonstrated fact that any attempt to produce the rather straightforward ), ( q p -variations of the results, which we have presented in this article, will be a rather trivial and inconsequential exercise, simply because the additional parameter p is obviously redundant. [ABSTRACT FROM AUTHOR]

In this article, the hydrodynamic stability of the Couette flow of an electrically conducting fluid flowing in a parallel-plate channel with a normal magnetic field is investigated through a porous medium. The transport phenomena in the porous medium have been of enduring interest from the last few decades. The linear perturbation theory of hydrodynamic stability along with the presumption of low magnetic Reynolds number is applied to the governing equations to derive the governing magnetohydrodynamic stability equation. A Chebyshev collocation method is operated to numerically elucidate the magnetohydrodynamic stability equation. A linearized velocity solution for developing flow is used in the stability calculations. The numerically determined neutral stability results for the fully developed Couette flow are in excellent agreement with those of the analytical solution. The results presented here for Hartmann flow are believed to be more accurate owing to the more exact nature of the numerical solution. [ABSTRACT FROM AUTHOR]

A new class of q-close-to-convex functions associated with Janowski functions is defined. In this regard, we give sufficient conditions and prove famous de Branges theorem for this newly-defined class of q-close-to-convex functions. We also give the application of our results to finding sufficient conditions for the celebrated Mittag-Leffler function to be a Janowski q-close-to-convex function. [ABSTRACT FROM AUTHOR]

A number of families of q-extensions of analytic functions in the open unit disk U have been defined by means of basic (or q-)calculus and considered from many distinctive prospectives and viewpoints. In this paper, we generalize and study certain subclasses of analytic functions involving higher-order q-derivative operators. We settle characteristic equations for these presumably new classes and also study numerous coefficient inequalities. For the results obtained in this presentation, we also carry out appropriate connections with those in multiple other concerning works on this subject. [ABSTRACT FROM AUTHOR]

Compared to facial expression recognition, expression synthesis requires a very high-dimensional mapping. This problem exacerbates with increasing image sizes and limits existing expression synthesis approaches to relatively small images. We observe that facial expressions often constitute sparsely distributed and locally correlated changes from one expression to another. By exploiting this observation, the number of parameters in an expression synthesis model can be significantly reduced. Therefore, we propose a constrained version of ridge regression that exploits the local and sparse structure of facial expressions. We consider this model as masked regression for learning local receptive fields. In contrast to the existing approaches, our proposed model can be efficiently trained on larger image sizes. Experiments using three publicly available datasets demonstrate that our model is significantly better than ℓ 0 , ℓ 1 and ℓ 2 -regression, SVD based approaches, and kernelized regression in terms of mean-squared-error, visual quality as well as computational and spatial complexities. The reduction in the number of parameters allows our method to generalize better even after training on smaller datasets. The proposed algorithm is also compared with state-of-the-art GANs including Pix2Pix, CycleGAN, StarGAN and GANimation. These GANs produce photo-realistic results as long as the testing and the training distributions are similar. In contrast, our results demonstrate significant generalization of the proposed algorithm over out-of-dataset human photographs, pencil sketches and even animal faces. [ABSTRACT FROM AUTHOR]

A new class of q-close-to-convex functions associated with Janowski functions is defined. In this regard, we give sufficient conditions and prove the famous de Branges theorem for this newly-defined class of q-close-to-convex functions. We also give the application of our results to finding sufficient conditions for the celebrated Mittag-Leffler function to be a Janowski q-close-to-convex function. [ABSTRACT FROM AUTHOR]

Solanum rostratum Dunal is native to the United States of America, northern and central Mexico. This species has been observed in various localities in Zhob district of northern part of Baluchistan Province of Pakistan. These observations represent first record of this species from Baluchistan or Pakistan. Its description and illustrations are provided for easy identification. [ABSTRACT FROM AUTHOR]

Nowadays, video cameras are increasingly used for surveillance, monitoring, and activity recording. These cameras generate high resolution image and video data at large scale. Processing such large scale video streams to extract useful information with time constraints is challenging. Traditional methods do not offer scalability to process large scale data. In this paper, we propose and evaluate cloud services for high resolution video streams in order to perform line detection using Canny edge detection followed by Hough transform. These algorithms are often used as preprocessing steps for various high level tasks including object, anomaly, and activity recognition. We implement and evaluate both Canny edge detector and Hough transform algorithms in Hadoop and Spark. Our experimental evaluation using Spark shows an excellent scalability and performance compared to Hadoop and standalone implementations for both Canny edge detection and Hough transform. We obtained a speedup of 10.8 × and 9.3 × for Canny edge detection and Hough transform respectively using Spark. These results demonstrate the effectiveness of parallel implementation of computer vision algorithms to achieve good scalability for real-world applications. [ABSTRACT FROM AUTHOR]

A new class of q-close-to-convex functions associated with Janowski functions is defined. In this regard, we give sufficient conditions and prove the famous de Branges theorem for this newly-defined class of q-close-to-convex functions. We also give the application of our results to finding sufficient conditions for the celebrated Mittag-Leffler function to be a Janowski q-close-to-convex function. [ABSTRACT FROM AUTHOR]

In this paper we introduce and investigate two new subclasses HΣq (α, λ) and HΣq(β, λ) of analytic and bi-univalent functions in the open unit disk U . Furthermore, we find non-sharp estimates on the first two Taylor-Maclaurin coefficients |a2| and |a3| for functions in these new subclasses. [ABSTRACT FROM AUTHOR]

In our present investigation, we first introduce several new subclasses of analytic and bi-univalent functions by using a certain q-integral operator in the open unit disk U = {z : z ∊ Cand z < 1}. By applying the Faber polynomial expansion method as well as the q-analysis, we then determine bounds for the nth coefficient in the Taylor-Maclaurin series expansion for functions in each of these newly-defined analytic and bi-univalent function classes subject to a gap series condition. We also highlight some known consequences of our main results. [ABSTRACT FROM AUTHOR]

Diabetes is one of the most prevalent disorders in Pakistan and globally millions of patients are suffering from it. Diabetes mellitus II is caused as a result of decreased secretion or impaired use of insulin. Traditional practitioners, folk people and traditional healer in the present study revealed significant phytotherapies used indigenously to cure diabetes. In the current study, overall 40 anti-diabetic plant species and 41 herbal remedies were documented. The data were quantitatively analyzed by Frequency Citation (FC), Diseases Consensus Index (DCI) and Relative Frequency of Citation percentage (RFC). Relative Frequency Citation was recorded maximum for the Syzygium cumini and Momordica charantia (0.26 % each). Frequency citation was also highest (17) for Syzygium cumini and Momordica charantia. Whereas, disease cure index showed maximum values for Boerhavia diffusa (0.68 %). The outcomes of this investigation should be used by pharmacologists, botanists, chemists and herbalists in formulation of natural drug discovery development. [ABSTRACT FROM AUTHOR]

In this paper we introduce certain new subclasses of multivalent spiral-like functions by means of the concept of k-uniformly star-likness and k-uniformly convexity. We prove the inclusion relations, sufficient condition and Fekete-Szegö inequality for these classes of functions. The behaviour of these classes under a certain integral operator is also discussed. [ABSTRACT FROM AUTHOR]

The accurate calibration of powder diffraction data acquired from area detectors using calibration standards is a crucial step in the data reduction process to attain high‐quality one‐dimensional patterns. A novel algorithm has been developed for extracting Debye–Scherrer rings automatically using an approach based on computer vision and pattern recognition techniques. The presented technique requires no human intervention and, unlike previous approaches, makes no restrictive assumptions on the diffraction setup and/or rings. It can detect complete rings as well as portions of them, and works on several types of diffraction images with various degrees of ring graininess, textured diffraction patterns and detector tilt with respect to the incoming beam. [ABSTRACT FROM AUTHOR]

Grain amaranth is a high nutritive value crop and has high adaptability under wide range of climatic conditions. Thus, a field study was conducted for agronomic assessment of exotic grain amaranth accessions under Faisalabad conditions. The experiment comprised of eight accessions i.e., Ames-18027, Ames-18028, Ames-23317, PI-337611, PI-477915, PI-47916, PI-480625 and PI-480663. The experiment was conducted at Agronomic Research Area, Department of Agronomy, University of Agriculture Faisalabad, during spring season in 2013. The results revealed that maximum emergence count (93.33%), maximum time to panicle emergence (48.33 days), flowering (69.33days), milking (115.67 days) and maturity (130.67) were found in PI-480625, while, minimum values of these parameters were recorded in Ames-23317. Moreover, Ames-18027, also performed better in terms of growth, and recorded maximum branches per panicle (24) tallest panicle (34.33 cm), highest grain (1659.8 kg ha-1) and biological yield (14971 kg ha-1) than the rest of accessions. In conclusion, Ames-18027, PI-337611 performed significant better in terms of growth and economic yield under semiarid conditions of Faisalabad, Pakistan. [ABSTRACT FROM AUTHOR]