polymeric yarns for reinforcing cement composites have got great interest in all over the world. in this research the performance of bonding between nylon tire cord grad yarns, and one kind of cement composite called fine grained concrete was studied. two kinds of nylon cord yarns, nylon 6 and 66, with different finesse were selected. the durability of yarns with time in alkaline media was inve...

Authigenic seafl oor carbonate crusts include fenestrate microbialite, thrombolite, and four types here designated: Fine-grained Crust, Sparry Crust, Hybrid Sparry Fine-grained Crust, and Sparry Crust plus Coarse Grains. Each of the latter four types includes at least some layered examples that have generally been regarded as stromatolites. Recognition and interpretation of these various deposi...

The latest effective defense against code reuse attacks is fine-grained, per-process memory randomization. However, such process randomization prevents code sharing since there is no longer any identical code to share between processes. Without shared libraries, however, tremendous memory savings are forfeit. This drawback may hinder the adoption of fine-grained memory randomization. We present...

Abstract The Siwalik Group, ranging from the Early Miocene to Pleistocene, is believed be deposited in fluvial environment and controlled by contemporary Himalayan tectonics climate. In this study, we established its controlling factors responsible for deposition of succession along Muksar Khola section eastern Nepal Himalaya. Five sedimentary facies associations are identified; these interpret...

Given two images, we want to predict which exhibits a particular visual attribute more than the other—even when the two images are quite similar. For example, given two beach scenes, which looks more calm? Given two high-heeled shoes, which is more ornate? Existing relative attribute methods rely on global ranking functions. However, rarely will the visual cues relevant to a comparison be const...

We performed experiments on two fine-grained classification tasks using a state-of-the-art pipeline (descriptor + dictionary + LLC encoding + max pooling + linear SVM). We found that this standard pipeline out-performed a dictionary-free classification technique (stacked evidence trees) that was specifically designed for fine-grained classification. The success of the method depends on two fact...