We demonstrate that a microfabricated bump array can concentrate genomic-length DNA molecules efficiently at continuous, high flow velocities, up to 40 μm/s, if the single-molecule DNA globule has a sufficiently large shear modulus. Increase in the shear modulus is accomplished by compacting the DNA molecules to minimal coil size using polyethylene glycol (PEG) derived depletion forces. We map ...

Motion Estimation is key role in the world of video compression. Compression is a technique for compacting a video data used for easily transmitting over a network and reducing a size for storage. Motion Estimation is computationally complex while video is compressed. This paper describes three step search algorithm and logarithmic search algorithm used for Motion Estimation in video Compressio...

This article addresses the design of a self-compacting gypsum-based lightweight composite (SGLC). A β-hemihydrate is used as binder and lightweight aggregate (LWA, 0-2 mm in different size ranges) is used as aggregate into this composite. The mix of the new composite is designed based on the particle size distribution grading theory applying the modified Andreasen and Andersen (A&A) grading lin...

A laminar family is a collection A of subsets of a set E such that, for any two intersecting sets, one is contained in the other. For a capacity function c on A, let I be {I : |I ∩ A| ≤ c(A) for all A ∈ A}. Then I is the collection of independent sets of a (laminar) matroid on E. We present a method of compacting laminar presentations, characterize the class of laminar matroids by their exclude...

Parameter synthesis for real-time systems aims at synthesizing dense sets of valuations for the timing requirements, guaranteeing a good behavior. A popular formalism for modeling parameterized realtime systems is parametric timed automata (PTAs). Compacting the state space of PTAs as much as possible is fundamental. We present here a state merging reduction based on convex union, that reduces ...

The paper presents the potential of fuzzy logic (FL-I) and neural network techniques (ANN-I) for predicting the compressive strength, for SCC mixtures. Six input parameters that is contents of cement, sand, coarse aggregate, fly ash, superplasticizer percentage and water-to-binder ratio and an output parameter i.e. 28day compressive strength for ANN-I and FL-I are used for modeling. The fuzzy l...

In this paper we present an effective technique for compacting a large sequence of input vectors into a much shorter one so as to reduce the circuit-level simulation time by orders of magnitude and maintain the accuracy of the power estimates. In particular, we model the effects of complex spatiotemporal correlations and rise/fall time slopes on total power dissipation. As the results demonstra...