Shape Categories Research Articles

Application of image processing in the field of agriculture for the work of classification of citrus plant leaf diseases

In the investigation of finding and analyzing leaf diseases by computer vision interestingly in the field of agriculture, attribute collection and shape categorization is main difficulty in pattern recognition and affects the propose and concert of the classifier. Leaf dots can be analytic of crop diseases there leaf spots are typically examined physically and subjected to connoisseur opinion. In this article leaf disease uncovering and diagnosis system is urbanized to mechanize the examination of exaggerated leaves and helps finding the disease type and so give remedial action. The urbanized system consists of number of stages which includes HSI alteration, histogram investigation and concentration adjustment. The other stage is segmentation which has alteration of fuzzy feature algorithm parameter to fit the submission in concern. Attribute extraction is the next coming stage which deals with number of features. Citrus plants such as lemon, orange and grapes are mainly affected by various diseases which affect the fruit production to these plants. Citrus disease identification and solution is important for increasing the quality and quantity of the production of these plants.

Weighted Polynomial Approximation for Automated Detection of Inspiratory Flow Limitation.

Inspiratory flow limitation (IFL) is a critical symptom of sleep breathing disorders. A characteristic flattened flow-time curve indicates the presence of highest resistance flow limitation. This study involved investigating a real-time algorithm for detecting IFL during sleep. Three categories of inspiratory flow shape were collected from previous studies for use as a development set. Of these, 16 cases were labeled as non-IFL and 78 as IFL which were further categorized into minor level (20 cases) and severe level (58 cases) of obstruction. In this study, algorithms using polynomial functions were proposed for extracting the features of IFL. Methods using first- to third-order polynomial approximations were applied to calculate the fitting curve to obtain the mean absolute error. The proposed algorithm is described by the weighted third-order (w.3rd-order) polynomial function. For validation, a total of 1,093 inspiratory breaths were acquired as a test set. The accuracy levels of the classifications produced by the presented feature detection methods were analyzed, and the performance levels were compared using a misclassification cobweb. According to the results, the algorithm using the w.3rd-order polynomial approximation achieved an accuracy of 94.14% for IFL classification. We concluded that this algorithm achieved effective automatic IFL detection during sleep.

The Influence of Shaft’s Bending on the Coupling Vibration of a Flexible Blade-Rotor System

The influence of shaft bending on the coupling vibration of rotor-blades system is nonignorable. Therefore, this paper analyzed the influence of shaft bending on the coupling vibration of rotor-blades system. The vibration mode function of shaft under elastic supporting condition was also derived to ensure accuracy of the model as well. The influence of the number of blades, the position of disk, and the support stiffness of shaft on critical speed of system was analyzed. The numerical results show that there were two categories of coupling mode shapes which belong to a set where the blade’s first two modes predominate in the system: shaft-blade (SB) mode and interblade (BB) mode due to the coupling between blade and shaft. The BB mode was of repeated frequencies of (Nb-2) multiplicity for number blades, and the SB mode was of repeated frequencies of (2) multiplicity for number blades. What is more, with the increase of the number of blades, natural frequency of rotor was decreasing linearly, that of BB mode was constant, and that of SB mode was increasing linearly. Natural frequency of BB mode was not affected while that of rotor and SB mode was affected (changed symmetrically with the center of shaft) by the position of disk. In the end, vibration characteristics of coupling mode shapes were analyzed.

Distributional Variations in the Quantitative Cortical and Trabecular Bone Radiographic Measurements of Mandible, between Male and Female Populations of Korea, and its Utilization.

It is important to investigate the irregularities in aging-associated changes in bone, between men and women for bone strength and osteoporosis. The purpose of this study was to characterize the changes and associations of mandibular cortical and trabecular bone measures of men and women based on age and to the evaluation of cortical shape categories, in a large Korean population. Panoramic radiographs of 1047 subjects (603 women and 444 men) aged between 15 to 90 years were used. Mandibular cortical width (MCW), mandibular cortical index (MCI), and fractal dimensions (FD) of the molar, premolar, and anterior regions of the mandibular trabecular bone were measured. Study subjects were grouped into six 10-years age groups. A local linear regression smoothing with bootstrap resampling for robust fitting of data was used to estimate the relationship between radiographic mandibular variables and age groups as well as genders. The mean age of women (49.56 ± 19.5 years) was significantly higher than that of men (45.57 ± 19.6 years). The MCW of men and women (3.17mm and 2.91mm, respectively, p < 0.0001) was strongly associated with age and MCI. Indeed, trabecular measures also correlated with age in men (r > −0.140, p = 0.003), though not as strongly as in women (r > −0.210, p < 0.0001). In men aged over 55 years, only MCW was significantly associated (r = −0.412, p < 0.0001). Furthermore, by comparison of mandibular variables from different age groups and MCI categories, the results suggest that MCW was detected to be strongly associated in both men and women for the detection of bone strength and osteoporosis. The FD measures revealed relatively higher association with age among women than men, but not as strong as MCW.

Creating a More Ideal Self Through the Use of Clothing

Using an exploratory approach, the current study, theoretically grounded in the self-discrepancy theory, investigated a woman’s perceptions of her body shape. The purpose was to understand how garments created with optical illusion prints or patterns affect women’s perceptions of body shape. Fifteen women were body scanned to determine their body shape and participated in an in-depth semistructured interview while viewing a personalized avatar (created from their body scan) depicted in the seven different optical illusion garments created by the researcher. Data analysis revealed six themes: (1) perception of self, (2) clothing and the body, (3) defining ideals, (4) preferences by body shape category, (5) effects of wearing optical illusions, and (6) a more ideal self. The results from this study indicated that optical illusion garments do effect the visual perception of body shape and can result in the perception of a more ideal body shape.

Gender representations in politics of belonging: An analysis of Swiss immigration regulation from the 19th century until today

The literature increasingly recognises the importance of gender in defining the boundaries between national societies and migrants. But little is still known about the history and changes of mechanisms that shape the role of gender as category of difference. Based on a critical case study of Switzerland, this article examines how gender is implicated in the politics of migrant admission and incorporation and underlying notions of ‘the other’. Drawing on theories of boundary work, we show that gendered representations of migrants are mobilised by different actors to advance their claims and calls for certain forms of immigration control and migrant integration. Since the late 19th century, gendered representations of Swiss nationals and migrant others shift from classical gender ideas to culturalised post-colonial interpretations of gender roles and, most recently, to normative ideas of gender equality. As part of these changes, migrant women moved from the periphery to the core of public and political attention. Concomitantly, categories of difference shift from the intersection of gender and social class to an intersection of gender, culture and ethnicity. Local particularities of Switzerland – the idea of ‘overforeignisation’ and the system of direct democracy – play a significant role in shaping categories. But Switzerland’s embeddedness in transnational fields emerges as equally important. The article expands on recent research and illuminates how changing dynamics of categorisation and othering facilitate the construction of nations and national identities in a transnationalised world.

Rapid Parallel Attentional Selection Can Be Controlled by Shape and Alphanumerical Category.

Previous research has shown that when two color-defined target objects appear in rapid succession at different locations, attention is deployed independently and in parallel to both targets. This study investigated whether this rapid simultaneous attentional target selection mechanism can also be employed in tasks where targets are defined by a different visual feature (shape) or when alphanumerical category is the target selection attribute. Two displays that both contained a target and a nontarget object on opposite sides were presented successively, and the SOA between the two displays was 100, 50, 20, or 10 msec in different blocks. N2pc components were recorded to both targets as a temporal marker of their attentional selection. When observers searched for shape-defined targets (Experiment 1), N2pc components to the two targets were equal in size and overlapped in time when the SOA between the two displays was short, reflecting two parallel shape-guided target selection processes with their own independent time course. Essentially the same temporal pattern of N2pc components was observed when alphanumerical category was the target-defining attribute (Experiment 2), demonstrating that the rapid parallel attentional selection of multiple target objects is not restricted to situations where the deployment of attention can be guided by elementary visual features but that these processes can even be employed in category-based attentional selection tasks. These findings have important implications for our understanding of the cognitive and neural basis of top-down attentional control.

Shape matters: assessing regional variation of Bell Beaker projectile points in Central Europe using geometric morphometrics

Despite the large-scale expansion of Bell Beaker phenomenon, there is a tension between the normative Bell Beaker material culture categories and their local objectification in the form of real artefacts. Stone projectile points provide an opportunity to evaluate how much was the general category of such a point influenced by regional and local factors. The aim of this paper is to explore shape and size variation of Central European Bell Beaker projectile points from Moravia (Czech Republic) to elucidate factors responsible for this variation. The sample consists of 194 projectile points from 54 Central European Bell Beaker sites (2500–2300/2200 BC) distributed in Morava River catchment. The size and shape of projectile points were studied by landmark-based geometric morphometrics and expressed as shape groups, which have been assessed in terms of their spatial distribution, raw material, and reutilization. Although several shape categories of points were identified, there is a strong degree of uniformity in the research sample. The dominant shape category (75.4 % of points) was pervasive across geographic space and was not significantly affected either by raw material or reutilization. A lower degree of reutilization of points is interpreted as a consequence of a non-utilitarian role of projectile points, which represented a critical component of Bell Beaker mortuary practices.

A Prime Example of the Maluma/Takete Effect? Testing for Sound Symbolic Priming.

Certain nonwords, like maluma and takete, are associated with roundness and sharpness, respectively. However, this has typically been demonstrated using explicit tasks. We investigated whether this association would be detectable using a more implicit measure-a sequential priming task. We began with a replication of the standard Maluma/Takete effect (Experiments 1a and 1b) before examining whether round and sharp nonword primes facilitated the categorization of congruent shapes (Experiment 2). We found modest evidence of a priming effect in response accuracy. We next examined whether nonword primes affected categorization of ambiguous shapes, using visual (Experiment 3) and auditory primes (Experiment 4). We found that ambiguous shapes were categorized as round (sharp) more often following the presentation of a round (sharp) nonword. This suggests that phonemes may activate related shape information which then affects the processing of shapes, and that this association emerges even when participants are not explicitly searching for it.

"Can touch this": Cross-modal shape categorization performance is associated with microstructural characteristics of white matter association pathways.

Previous studies on visuo-haptic shape processing provide evidence that visually learned shape information can transfer to the haptic domain. In particular, recent neuroimaging studies have shown that visually learned novel objects that were haptically tested recruited parts of the ventral pathway from early visual cortex to the temporal lobe. Interestingly, in such tasks considerable individual variation in cross-modal transfer performance was observed. Here, we investigate whether this individual variation may be reflected in microstructural characteristics of white-matter (WM) pathways. We first trained participants on a fine-grained categorization task of novel shapes in the visual domain, followed by a haptic categorization test. We then correlated visual training-performance and haptic test-performance, as well as performance on a symbol-coding task requiring visuo-motor dexterity with microstructural properties of WM bundles potentially involved in visuo-haptic processing (the inferior longitudinal fasciculus [ILF], the fronto-temporal part of the superior longitudinal fasciculus [SLFft ] and the vertical occipital fasciculus [VOF]). Behavioral results showed that haptic categorization performance was good on average but exhibited large inter-individual variability. Haptic performance also was correlated with performance in the symbol-coding task. WM analyses showed that fast visual learners exhibited higher fractional anisotropy (FA) in left SLFft and left VOF. Importantly, haptic test-performance (and symbol-coding performance) correlated with FA in ILF and with axial diffusivity in SLFft . These findings provide clear evidence that individual variation in visuo-haptic performance can be linked to microstructural characteristics of WM pathways. Hum Brain Mapp 38:842-854, 2017. © 2016 Wiley Periodicals, Inc.

Baking Gender Into Social Media Design: How Platforms Shape Categories for Users and Advertisers

In recent years, several popular social media platforms have launched freeform custom gender fields. This decision reconstitutes gender categories beyond an oppressive binary only permitting “males” and “females.” In this work, we uncover many different user-facing gender category design strategies within the social media ecosystem, ranging from custom gender options (on Facebook, Google+, and Pinterest) to the absence of gender fields entirely (on Twitter and LinkedIn). To explore how gender is baked into platform design, this article investigates the 10 most popular English-speaking social media platforms by performing recorded walkthroughs from two different subject positions: (1) a new user registering an account, and (2) a new advertiser creating an ad. We explore several different spaces in social media software where designers commonly program gender—sign-up pages, profile pages, and advertising portals—to consider (1) how gender is made durable through social media design, and (2) the shifting composition of the category of gender within the social media ecosystem more broadly. Through this investigation, we question how these categorizations attribute meaning to gender as they materialize in different software spaces, along with the recursive implications for society. Ultimately, our analysis reveals how social media platforms act as intermediaries within the larger ecosystem of advertising and web analytics companies. We argue that this intermediary role entrusts social media platforms with a considerable degree of control over the generation of broader categorization systems, which can be wielded to shape the perceived needs and desires of both users and advertising clients.

Effect of Size, Content and Shape of Reinforcements on the Behavior of Metal Matrix Composites (MMCs) Under Tension

The objective of this research was to investigate the mechanical behavior of metal matrix composites (MMCs) 6061 aluminum, reinforced with silicon carbide particles, under unidirectional tensile loading by finite element analysis. The effects of particle’s shape, size and content on the tensile properties of the composites were studied and compared with each other. In addition, stress and strain distributions and possible particle fracture or debonding were investigated. It was found that, among different shapes, a certain shape of reinforcement particle provided better tensile properties for MMCs and, within each shape category, composites with smaller particle size and higher particle content (20%) also showed better properties. It was also found that when the reinforcement content was 10%, the effects of shape and size of the particles were negligible. Not only interfacial length between the reinforcement and matrix materials, but also state of matrix material, due to the presence of the reinforcement particles, affected the stiffness of the MMCs. In almost all of the cases, except for MMCs with triangular particles, when the stress increased, with the increase in the applied positive displacement, the stress distributions remained unchanged.

A PRIMER ON UNIFYING DEBRIS DISK MORPHOLOGIES

ABSTRACT A “minimum model” for debris disks consists of a narrow ring of parent bodies, secularly forced by a single planet on a possibly eccentric orbit, colliding to produce dust grains that are perturbed by stellar radiation pressure. We demonstrate how this minimum model can reproduce a wide variety of disk morphologies imaged in scattered starlight. Five broad categories of disk shape can be captured: “rings,” “needles,” “ships-and-wakes,” “bars,” and “moths (a.k.a. fans),” depending on the viewing geometry. Moths can also sport “double wings.” We explain the origin of morphological features from first principles, exploring the dependence on planet eccentricity, disk inclination dispersion, and the parent body orbital phases at which dust grains are born. A key determinant in disk appearance is the degree to which dust grain orbits are apsidally aligned. Our study of a simple steady-state (secularly relaxed) disk should serve as a reference for more detailed models tailored to individual systems. We use the intuition gained from our guidebook of disk morphologies to interpret, informally, the images of a number of real-world debris disks. These interpretations suggest that the farthest reaches of planetary systems are perturbed by eccentric planets, possibly just a few Earth masses each.

LBO-Shape densities: A unified framework for 2D and 3D shape classification on the hypersphere of wavelet densities

Recent years have seen a sharp rise in shape classification applications, and following suit, several frameworks have been proposed for efficient indexing of shape models. Here we propose a state-of-the-art shape matching framework which concomitantly provides transformation invariance and computationally efficient querying. Shapes are represented as probability density functions estimated on the eigenspace of the shape’s Laplace–Beltrami operator (LBO) and the ensuing manifold geometry is leveraged to classify query shapes. Specifically, we estimate a nonparametric, square-root wavelet density on the low-order eigenvectors of the LBO, capturing the rich geometric structure of 2D and 3D shapes with very minimal pre-processing requirements. By estimating 3D, square-root wavelet densities on each shape’s eigenspace (LBO-Shape densities), both 2D and 3D shapes become identifiable with the unit hypersphere. Leveraging the hypersphere’s simple geometry, our avant-garde model-to-mean indexing scheme computes the intrinsic Karcher mean for each shape category, and then uses the closed-form distance between a query shape and the means to assign labels. In 2D, the need for burdensome preprocessing like extracting closed curves along with topological and equal point set cardinality requirements are eliminated. Similarly, in 3D we gain isometry invariance and rid ourselves of the need for superfluous feature extraction schemes. The extensive experimental results demonstrate that our approach is competitive with the state-of-the-art in 2D/3D shape matching algorithms.

Gradation and Packing Characteristics Affecting Stability of Granular Materials: Aggregate Imaging-Based Discrete Element Modeling Approach

AbstractUnbound aggregate base and subbase in layered pavement structures provide an essential function of wheel load distribution through proper angular or crushed particle interlocking of coarse aggregate particles in the granular matrix. This paper used a validated model utilizing a particle image-aided discrete element method (DEM) to evaluate aggregate gradation and shape/morphological properties on pavement granular layer packing characteristics and load-carrying performance. The DEM packing simulations for different granular material gradations and particle shape categories were first performed to investigate the influence of the No. 4 (4.75-mm) sieve, separator of sand-sized and gravel-sized particles according to the Unified Soil Classification System (USCS), for typical dense-graded aggregates specified by the Minnesota Department of Transportation (MnDOT). Aggregate particles were modeled in the DEM as three-dimensional (3D) polyhedral discrete elements with both low and high angularity categor...

Optimization on submarine stern design

This article discusses the optimum hydrodynamic shape of the submarine stern based on the minimum resistance. Submarines consist of two major categories of hydrodynamic shape: the teardrop shape and the cylindrical middle-body shape. Due to the parallel middle-body shape in most of the naval submarines, those with cylindrical middle-body are studied here. The bare hull has three main parts: bow, cylinder and stern. This article proposes an optimum stern shape by the computational fluid dynamics method via Flow Vision software. In the hydrodynamic design point of view, the major parameters of the stern included the wake field (variation in fluid velocity) and resistance. The focus of this article is on the resistance at fully submerged mode without any regard for free surface effects. First, all the available equations for the stern shape of submarine are presented. Second, a computational fluid dynamics analysis has been performed according to the shape equations. For all the status, the following parameters are assumed to be constant: velocity, dimensions of domain, diameter, bow shape and total length (bow, middle and stern length).

STILL SEARCHING FOR A TRUE RACE? REPLY TO KRAMER ET AL. AND ALBA ET AL.

STILL SEARCHING FOR A TRUE RACE? REPLY TO KRAMER ET AL. AND ALBA ET AL.

Stereopsis after anterior temporal lobectomy

Brain areas critical for stereopsis have been investigated in non-human primates but are largely unknown in the human brain. Microelectrode recordings and functional MRI (fMRI) studies in monkeys have shown that in monkeys the inferior temporal cortex is critically involved in 3D shape categorization. Furthermore, some human fMRI studies similarly suggest an involvement of visual areas in the temporal lobe in depth perception.We aimed to investigate the role of the human anterior temporal neocortex in stereopsis by assessing stereoscopic depth perception before and after anterior temporal lobectomy. Eighteen epilepsy surgery patients were tested, pre- and postoperatively, in 3 different depth discrimination tasks. Sensitivity for local and global disparity was tested in a near-far discrimination task and sensitivity for 3D curvature was assessed in a convex-concave discrimination task, where 3D shapes were presented at different positions in depth.We found no evidence that temporal lobe epilepsy surgery has a significant effect on stereopsis. In contrast with earlier findings, we conclude that local as well as global stereopsis is maintained after unilateral resection of the temporal pole in epilepsy surgery patients. Our findings, together with previous studies, suggest that in humans more posterior visual regions underlie depth perception.

Strong shape in categories enriched over groupoids

For any pair of categories $$(\mathsf {C,K})$$ enriched over the category $$\mathsf {Gpd}$$ of groupoids, it is possible to define a strong shape category $$SSh(\mathsf {C,K})$$ in such a way that, for $$\mathsf {C}$$ the category of topological spaces and $$\mathsf {K}$$ its full subcategory of spaces having the homotopy type of absolute neighborhoods retracts for metric spaces, one obtains the strong shape category $$SSh(\mathsf {Top})$$ , as defined by Mardešić. We also introduce a new category $$SS_{\tiny \mathsf K}$$ with the same objects as $$\mathsf {C}$$ and morphisms given by suitable pseudo-natural transformations into the category of groupoids. The main result is then that such a category $$SS_{\tiny \tiny \mathsf K}$$ is isomorphic to the strong shape category $$SSh(\mathsf {C,K})$$ , when $$\mathsf {C}$$ is also a proper model category.

Metabolite Profiling of Italian Tomato Landraces with Different Fruit Types.

Increased interest toward traditional tomato varieties is fueled by the need to rescue desirable organoleptic traits and to improve the quality of fresh and processed tomatoes in the market. In addition, the phenotypic and genetic variation preserved in tomato landraces represents a means to understand the genetic basis of traits related to health and organoleptic aspects and improve them in modern varieties. To establish a framework for this approach, we studied the content of several metabolites in a panel of Italian tomato landraces categorized into three broad fruit type classes (flattened/ribbed, pear/oxheart, round/elongate). Three modern hybrids, corresponding to the three fruit shape typologies, were included as reference. Red ripe fruits were morphologically characterized and biochemically analyzed for their content in glycoalkaloids, phenols, amino acids, and Amadori products. The round/elongate types showed a higher content in glycoalkaloids, whereas flattened types had higher levels of phenolic compounds. Flattened tomatoes were also rich in total amino acids and in particular in glutamic acid. Multivariate analysis of amino acid content clearly separated the three classes of fruit types. Making allowance of the very low number of genotypes, phenotype-marker relationships were analyzed after retrieving single nucleotide polymorphisms (SNPs) among the landraces available in the literature. Sixty-six markers were significantly associated with the studied traits. The positions of several of these SNPs showed correspondence with already described genomic regions and QTLs supporting the reliability of the association. Overall the data indicated that significant changes in quality-related metabolites occur depending on the genetic background in traditional tomato germplasm, frequently according to specific fruit shape categories. Such a variability is suitable to harness association mapping for metabolic quality traits using this germplasm as an experimental population, paving the way for investigating their genetic/molecular basis, and facilitating breeding for quality-related compounds in tomato fruits.