Este trabalho tem como objetivo verificar os efeitos de conteúdos multimodais na produção de resumos e suas implicações no ensino da leitura de alunos do ensino superior através da interação com um Objeto Digital de Aprendizagem... more
Here we extend such filter theory to more general case, namely, we develop the filter theory of non-commutative residuated lattices. We note that the class of all 数理解析研究所講究録 第 1809 巻 2012 年 87-92
In this paper we shall first show that for every weak DeMorgan algebra L(n) of order n (WDM-n algebra), there is a quotient weak DeMorgan algebra L(n)/∼ which is embeddable in the finite WDM-n algebra (n). We then demonstrate that the... more
The notion of n-normal residuated lattice, as a class of residuated lattices in which every prime filter contains at most n minimal prime filters, is introduced and studied. Before that, the notion of ω-filter is introduced and it is... more
The notion of n-normal residuated lattice, as a class of residuated lattices in which every prime filter contains at most n minimal prime filters, is introduced and studied. Before that, the notion of ω-filter is introduced and it is... more
În articolul dat, conform unei abordări cibernetice, se analizează sistemele de producție care pun accentul pe următorii indicatori economici: rentabilitatea optimă (profitul maximal); costul minim la achiziția și transportarea... more
The so called simplicial algorithms are put into use to compute the stationary probability distributions of stochastic matrices. This is a typical exampie of application of sinlplicia~ algorithms to compute the fixed points of a... more
In India, eLearning is showing an increasing trend over the past two decades. Cost-effectiveness and learning flexibility are the key differentiators in favor of Indian eLearning progress. Success and effectiveness of eLearning mainly... more
This paper presents an approach to forecasting air pollution levels measured as Air Quality Index (AQI) metric using hybrid Long Short-Term Memory (LSTM) models. The pollution levels have been found to vary in a particular pattern that... more
Measurement of learning outcome is an essential quality metric. This paper proposes a framework for measuring eLearning effectiveness in quantitative terns. It also sets out the results of a research project carried out across thirty nine... more
Purpose This paper shows how organizations can use learning clusters, Massive Open Online Courses (MOOCs) and free videos to improve organizational learning. The paper presents implementation steps through a case study with Indian micro,... more
PurposeDescribes how Bharati Computers Limited reduced the average time required for new employees to complete the joining process from 14 to four days using six‐sigma techniques.Design/methodology/approachDetails the seven processes... more
Education in general has transcended boundaries of a physical classroom and given rise to the phenomenon of ubiquitous learning (u-learning) and the ability to access knowledge on-demand. To understand the effect of learning as it is... more
The U.S. military continues to develop and expand its use of simulation-based aviation training. While traditional simulation-based training continues to be a proven training method, game-based simulation has become more sophisticated and... more
This paper addresses scheduling and memory management in input queued switches with finite input buffers, with the objective of minimizing packet loss. The framework and algorithms proposed here apply to buffer constrained wireless... more
Smart factories are focusing on bridging the gap between physical to cyber-physical systems through software applications. This article proposed an efficient and sufficient data acquisition, storing and processing real-time monitoring... more
In recent years, significant advancements have been achieved in the ___domain of machine monitoring as witnessed from the beginning of the new industrial revolution (IR) known as IR 4.0. This new revolution is characterized by complete... more
STEP-NC is known as a Standard for Product Model Data Exchange which aims to be the next generation for Computer Numerical controller. It provides a new breed of intelligence to the CNC controller in terms of interoperability,... more
Background: Coronavirus disease (COVID-19) caused by the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is now a pandemic which began in Wuhan province of China. Drug discovery teams around the globe are in a race to develop... more
Semi-supervised learning (SSL) is fundamentally a geometric task: in order to classify high-dimensional point sets when only a small fraction of data points are labeled, the geometry of the unlabeled data points is exploited to gain... more
In this paper, we propose a controllable embedding method for high-and low-dimensional geometry processing through sparse matrix eigenanalysis. Our approach is equally suitable to perform non-linear dimensionality reduction on big data,... more
Visual quality, low computational cost, and numerical stability are foremost goals in computer animation. An important ingredient in achieving these goals is the conservation of fundamental motion invariants. For example, rigid and... more
The analysis of electromagnetic scattering has long been performed on a discrete representation of the geometry. This representation is typically continuous but not differentiable. The need to define physical quantities on this geometric... more
One of the challenges in automatic face recognition is to achieve temporal invariance. In other words, the goal is to come up with a representation and matching scheme that is robust to changes due to facial aging. Facial aging is a... more
Most face relighting methods are able to handle diffuse shadows, but struggle to handle hard shadows, such as those cast by the nose. Methods that propose techniques for handling hard shadows often do not produce geometrically consistent... more
The eukaryotic cytoskeleton plays essential roles in cell signaling and trafficking, broadly associated with immunity and diseases in humans and plants. To date, most studies describing cytoskeleton dynamics and function rely on... more
The eukaryotic cytoskeleton plays essential roles in cell signaling and trafficking, which is broadly associated with immunity and diseases of human and plants. To date, most analyses aiming at defining the temporal and spatial dynamics... more
Given a photo collection of "unconstrained" face images of one individual captured under a variety of unknown pose, expression, and illumination conditions, this paper presents a method for reconstructing a 3D face surface model... more
Deform the generic template to match the overall structure of the subject. Takes advantage of profile images. Which projection (red) best fits the true landmarks (green)? Image (c), but this is not the template, but a subject specific... more
The variation caused by aging has not received adequate attention compared with pose, lighting, and expression variations. Aging is a complex process that affects both the 3D shape of the face and its texture (e.g., wrinkles). While the... more
ABSTRACTWhile small‐scale fluid details are crucial elements for the creation of visually pleasing fluid animations, their synthesis often requires heavy computation with traditional grid‐based fluid simulation methods. This paper... more
One of the challenges in automatic face recognition is to achieve temporal invariance. In other words, the goal is to come up with a representation and matching scheme that is robust to changes due to facial aging. Facial aging is a... more
We propose a real-time approach for indoor scene reconstruction. It is capable of producing a ready-to-use 3D geometric model even while the user is still scanning the environment with a consumer depth camera. Our approach features... more
We propose a compact data structure for volumetric meshes of arbitrary topology and bounded valence, which offers cell-face, faceedge, and edge-vertex incidence queries in constant time. Our structure is simple to implement, easy to use,... more
We propose a compact data structure for volumetric meshes of arbitrary topology and bounded valence that offers cell-face, face-edge, and edge-vertex incidence queries in constant time. Our structure is simple to implement, easy to use,... more
We propose a texture mapping technique that allows user to directly manipulate texture coordinates of subdivision surfaces through adding feature correspondences. After features, or constraints, are specified by user on the subdivision... more
Geometric flows are ubiquitous in mesh processing. Curve and surface evolutions based on functional minimization have been used in the context of surface diffusion, denoising, shape optimization, minimal surfaces, and geodesic paths to... more
We present FaceWarehouse, a database of 3D facial expressions for visual computing applications. We use Kinect, an off-the-shelf RGBD camera, to capture 150 individuals aged 7-80 from various ethnic backgrounds. For each person, we... more
We present an automatic hexahedralization tool, based on a systematic treatment that removes some of the singularities that would lead to degenerate volumetric parameterization. Such singularities could be abundant in automatically... more
In this paper, we introduce an interactive approach to generate physically-based shape interpolation between poses. We extend linear modal analysis to offer an efficient and robust numerical technique to generate physically-plausible... more
A water drop behaves differently from a large water body because of its strong viscosity and surface tension under the small scale. Surface tension causes the motion of a water drop to be largely determined by its boundary surface.... more
We present a general-purpose numerical scheme for time integration of Lagrangian dynamical systems—an im- portant computational tool at the core of most physics-based animation techniques. Several features make this particular time... more
In this paper, we present a numerical technique for performing Lie advection of arbitrary differential forms. Leveraging advances in high-resolution finite volume methods for scalar hyperbolic conservation laws, we first discretize the... more