Unsupervised sentence representation learning is a fundamental problem in natural language processing. Recently, contrastive has made great success on this task. Existing constrastive based models usually apply random sampling to select negative examples for training. Previous work computer vision shown that hard help achieve faster convergency and better optimization learning. However, the imp...

Previous investigations of granitoids in Sumatra were focused on age dating with minimum geochemistry composition analysis. The purpose this study is to define the classification intrusions central and explain rocks' correlation Southeast Asia tectonic activities. A polarizing microscope was used for petrography description while XRF ICP-MS applied measurements. According geochemistry, almost a...

The anisotropic advantageous properties of fiber reinforced composites may not be fully exploited unless the fibers are properly placed in their optimal spatial orientations. This paper investigates application of Cellular Automata (CA) for curvilinear fiber design of composite laminae for in-plane responses. CA use local rules to update both field and design variables in an iterative scheme ti...

The contributions of this paper are three-fold. First, we present a general formulation for reaping the benefits from both non-negative data factorization and semi-supervised learning, and the solution naturally possesses the characteristics of sparsity, robustness to partial occlusions, and greater discriminating power via extra unlabeled data. Then, an efficient multiplicative updating proced...

In this paper a mathematical simulation of a simplified internal combustion engine is presented. To contribute engine kinematics and its geometry, simple relations are derived for constrained motions. The equation of motion for the piston forms a singular boundary value problem. The uniqueness of the solution was studied in the Banach space. For solving governing equations an iterative numerica...

<span>This study aims to find the best artificial neural network weight values be applied autonomous vehicle system with ultrasonic multisensor. The implementation of in required long time process due its training process. Therefore, this research is using offline before implementing online by embedding obtain outputs faster according desired targets. Simulink were used train offline. Eig...

Abstract In the past 10 years, a large number of consensus-reaching approaches for group decision making (GDM) have been proposed. While these methods either focus on cost consensus reaching or convergency process, efficiency has long ignored. Meanwhile, measurements threshold are often determined by some subjective and intuitive judgements, such as management experience estimations degree sati...

we have the crisp vector → PQ= (y(1)−x(1),y(2)−x(2), . . . ,y(n)−x(n)) in a pseudo-fuzzy vector space Fn p (1)= {(a(1),a(2), . . . ,a(n))1∀(a(1),a(2), . . . ,a(n))∈Rn}. There is a one-to-one onto mapping P = (x(1),x(2), . . . ,x(n)) ↔ P̃ = (x(1),x(2), . . . , x)1. Therefore, for the crisp vector → PQ, we can define the fuzzy vector → P̃ Q̃= (y(1)− x(1),y(2)−x(2), . . . ,y(n)−x(n))1 = Q̃ P̃ . Let the...

Multi-view subspace clustering under a tensor framework remains challenging problem, which can be potentially applied to image classification, impainting, denoising, etc. There are some existing tensor-based multi-view models mainly making use of the consistency in different views through nuclear norm (TNN). The diversity means intrinsic difference individual view is always ignored. In this pap...