In this document we present an initial design that accommodates ‘virtual mobility’ into testbeds for wireless sensor networks. The virtual mobility of physical, simulated or emulated nodes is treated in a uniform manner by embedding the nodes in a virtual space. The virtual space is formed by a simulation model and handles all the traffic from the nodes. The traffic of physical nodes is therefo...

We study the relative expressive power of Fusion and pi-calculus. Fusion is commonly regarded as a generalisation of pi-calculus. Actually, we prove that there is no uniform fully abstract embedding of pi-calculus into Fusion. This fact motivates the introduction of a new calculus, D-Fusion, with two binders, λ and ν. We show that DFusion is strictly more expressive than both pi-calculus and Fu...

Recent <span lang="EN-US">studies in distributed vector representations for words have variety of ways to represent words. We propose a various using input embedding and output better than single model. compared the performance terms word analogy similarity with each embeddings dual which are combination those two embeddings. Performance evaluation results show that proposed outperform em...

Graph embedding, representing local and global neighbourhood information by numerical vectors, is a crucial part of the mathematical modeling wide range real-world systems. Among embedding algorithms, random walk-based algorithms have proven to be very successful. These collect creating numerous walks with predefined number steps. Creating most demanding process. The computation demand increase...

There are several advantages to combine, at one end the image coding and watermark embedding scheme and at the other end, the image decoding and watermark extraction. In this paper, we present a blind watermarking approach based on quantization index modulation, incorporated in low bit rates wavelet image coder. To encode the binary message, the watermark is placed in the transformed image prio...

We discuss novel data involving attitude predicates in American Sign Language. We offer evidence against the uniform treatment of attitudes by revealing new structural and interpretive differences between proffering and doxastic embedding predicates. Besides providing evidence for this distinction from a new domain, the data also advance the current understanding of the formal syntactic/semanti...

This communication describes a simple, rapid and cost effective method of embedding a conductive and flexible material within microfluidic devices as a means to realize uniform electric fields within cellular microenvironments. Fluidic channels and electrodes are fabricated by traditional soft-lithography in conjunction with chemical etching of PDMS. Devices can be deformable (thus allowing for...

UMAP (Uniform Manifold Approximation and Projection) is a novel manifold learning technique for dimension reduction. UMAP is constructed from a theoretical framework based in Riemannian geometry and algebraic topology. Œe result is a practical scalable algorithm that applies to real world data. Œe UMAP algorithm is competitive with t-SNE for visualization quality, and arguably preserves more of...

We present an approach for robust shape retrieval from databases containing articulated 3D models. Each shape is represented by the eigenvectors of an appropriately defined affinity matrix, forming a spectral embedding which achieves normalization against rigid-body transformations, uniform scaling, and shape articulation (i.e., bending). Retrieval is performed in the spectral domain using glob...

We present an approach for robust shape retrieval from databases containing articulated 3D shapes. We represent each shape by the eigenvectors of an appropriately defined affinity matrix, obtaining a spectral embedding. Retrieval is then performed on these embeddings using global shape descriptors. Transformation into the spectral domain normalizes the shapes against articulation (bending), rig...