1,802,230 research outputs found
William Brice and Arthur Bloom reminisce
No full textThis video is about the history of geological sciences at Cornell University.The University Faculty Memorial Statement for Arthur L. Bloom is available at https://blogs.cornell.edu/deanoffaculty/files/2016/01/Arthur-Bloom-ucbcdo.pdf1_zz7zq1v
Fully pipelined bloom filter architecture
Full text linkRecently, we proposed a two-stage pipelined Bloom filter architecture to save power for network security applications. In this letter, we generalize the pipelined Bloom filter architecture to k-stage and show that significant power savings can be achieved by employing one hash function per stage. We analytically show that the expected power consumption and latency of the fully pipelined Bloom filter architecture will not be greater than that of the two hash functions and two clock cycles, respectively, however large the number of hash functions is. Furthermore, we discuss the worst-case performance of the proposed architecture.Recently, we proposed a two-stage pipelined Bloom filter architecture to save power for network security applications. In this letter, we generalize the pipelined Bloom filter architecture to k-stage and show that significant power savings can be achieved by employing one hash function per stage. We analytically show that the expected power consumption and latency of the fully pipelined Bloom filter architecture will not be greater than that of the two hash functions and two clock cycles, respectively, however large the number of hash functions is. Furthermore, we discuss the worst-case performance of the proposed architectur
Low-power bloom filter architecture for deep packet inspection
Full text linkBloom filters are frequently used to identify malicious content like viruses in high speed networks. However, architectures proposed to implement bloom filters are not power efficient. In this letter, we propose a new bloom filter architecture that exploits the well-known pipelining technique. Through power analysis we show that pipelining can reduce the power consumption of bloom filters up to 90%, which leads to the energy-efficient implementation of intrusion detection systems
Energy-efficient pipelined bloom filters for network intrusion detection
Full text linkSoftware-based detection techniques are commonly used to identify the predefined signatures in network streams. However, the software-based techniques can not keep up with the speeds that network bandwidth increases. Hence, hardware-based systems have started to emerge. Bloom filters are frequently used to identify malicious content like viruses in high speed networks. However, architectures proposed to implement Bloom filters are not power efficient. We propose a new Bloom filter architecture that exploits the well-known pipelining technique. Through extensive power analysis we show that pipelining can reduce the power consumption of Bloom filters up to 90%, which leads to the energy-efficient implementation of network intrusion detection system
Lansing B. Bloom
No full textPhoto of Lansing B. Bloom, historian, professor, editor and author. Bloom was editor of the New Mexico Historical Review and UNM professor, 1926-1946
Adding Bloom to High-Dynamic-Range Tone Mapping
No full textWe present a technique for enhancing high-dynamic-range tone mapping algorithms by adding the bloom effect to bright areas. Bloom is based on the fact that real-life lenses convolve light and make bright areas emit a glow. The algorithm takes a set of images with different exposures as input, and performs a tone mapping algorithm on these. It then takes the image with the lowest exposure value to create the bloom effect. It then perform a convolution on this image with with a kernel that represents the response to one point of light. The resulting image is then added on top of the tone mapped image. We also present parameters to change the spread of the glowing effect, how bright an area needs to be to get a significant glow, and the intensity of the glow when applied. Furthermore, the kernel can be changed to create different types of glow and highlights. These things make the technique versatile and allows the photographer to customize the effect.https://github.com/ricardovogel/tonemap-and-bloom Code repositoryCSE3000 Research ProjectComputer Science and Engineerin
The Madagascar Bloom – a serendipitous study
Full text linkThe late austral summer (February-April) phytoplankton bloom that occurs east of Madagascar exhibits significant interannual variability and at its largest extent covers ~1% of the world’s ocean surface area. The bloom raises many intriguing questions about how it begins, is sustained, propagates to the east, exports carbon and ends. It has been observed and studied using satellite ocean color observations, but the lack of in situ data makes it difficult to address these questions. Here we describe observations that were made serendipitously on a cruise in February 2005. These show clearly for the first time the simultaneous existence of a deep chlorophyll maximum at ~70-110 m depths (seen in SeaSoar fluorimeter data) and a surface chlorophyll signature (seen in SeaWiFS satellite ocean color data). The observations also show the modulation of biological signature at the surface by the eddy field, but not of the deep chlorophyll maximum. Trichodesmium dominates the bloom nearer to Madagascar, while the diatom Rhizosolenia clevei (and its symbiont Richelia intracellularis) dominates further from the island. The surface bloom seen in the SeaWiFS data is confined to the shallow (~30 m) mixed layer. It is hypothesized that the interannual variability in bloom intensity may be due to variations in coastal upwelling and thus the supply of iron, which is a micronutrient that can limit diazotroph growth
GuillaumeLeGland/DMOS-BLOOM: DMOS-BLOOM-v1
No full textThis release is the first version of the DMOS-BLOOM (Dynamic Model of Oceanic Sulfur production and consumption during phytoplankton blooms) model.
We plan to submit an article describing DMOS-BLOOM and its main results to Limnology and Oceanography in early November 2022.
Please contact Guillaume Le Gland ([email protected]) if you cannot download, run or understand the model
[Barry R. Bloom (AAI)]
No full textBarry R. Bloom, 1985-1986sticker from verso: Dr. Barry R. Bloom, Chairman Dept. of Microbiology & Immunology, Albert Einsteing College of Medicin, 1300 Morris Park Ave. Bronx, NY, 0 1461. Title supplied by cataloger.Portrait of Barry R. Bloom, AAI President 1985-198
Physical controls and mesoscale variability in the Labrador Sea spring phytoplankton bloom observed by Seaglider
Full text linkWe investigated the 2005 spring phytoplankton bloom in the Labrador Sea using Seaglider, an autonomous underwater vehicle equipped with hydrographic, bio-optical and oxygen sensors. The Labrador Sea blooms in distinct phases, two of which were observed by Seaglider: the north bloom and the central Labrador Sea bloom. The dominant north bloom and subsequent zooplankton growth are enabled by the advection of low-salinity water from West Greenland in the strong and eddy-rich separation of the boundary current. The glider observed high fluorescence and oxygen supersaturation within haline-stratified eddy-like features; higher fluorescence was observed at the edges than centers of the eddies. In the central Labrador Sea, the bloom occurred in thermally stratified water. Two regions with elevated subsurface chlorophyll were also observed: a 5 m thin-layer in the southwest Labrador Current, and in the Labrador shelf-break front. The thin layer observations were consistent with vertical shearing of an initially thicker chlorophyll patch. Observations at the front showed high fluorescence down to 100 m depth and aligned with the isopycnals defining the front. The high-resolution Seaglider sampling across the entire Labrador Sea provides first estimates of the scale dependence of coincident biological and physical variables
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