139,244 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
The Madagascar Bloom – a serendipitous study
No full textThe 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
Fully pipelined bloom filter architecture
No full textRecently, 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
No full textBloom 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
No full textSoftware-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
Bloom, Dorothy, May 28, 1993 [Interview]
No full textDorothy Bloom, wife of Robert Bloom, a professor of history at Gettysburg College, was intereviewed on May 28, 1993 by Michael Birkner about her experience as a spouse of a faculty member from 1949 to 1981. She discusses other faculty members and administrators at the time, her husband's work and the events they partcipated in on campus.Bloom, Robert L.; Crapster, Basil L.; Eisenhower, Dwight D.; Fortenbaugh, Robert D.; Glassick, Charles E.; Glatfelter, Charles H.; Hanson Carl Arnold, Hanson Henry W.A.; Langsam, Walter C.; Paul, Willard S.; Tilberg, Wilbur E
Hark to the call! Sounding for all [first line of chorus]
No full textstrophic with refrainpiano and voiceads on back cover for Sol Bloom stockJohns Hopkins University, Levy Sheet Music Collection, Box
086, Item 031Words by Lou Loubrie. Music by L. Friedman.Sol Bloom, Prin
Hark to the call! Sounding for all [first line of chorus]
No full textstrophic with refrainpiano and voiceads on back cover for Sol Bloom stockJohns Hopkins University, Levy Sheet Music Collection, Box
086, Item 031Words by Lou Loubrie. Music by L. Friedman.Sol Bloom, Prin
Physical controls and mesoscale variability in the Labrador Sea spring phytoplankton bloom observed by Seaglider
No full textWe 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
Spatial analysis for spring bloom and nutrient limitation in Xiangxi bay of three Gorges Reservoir
No full textThe spatial and temporal dynamics of physical variables, inorganic nutrients and phytoplankton chlorophyll a were investigated in Xiangxi Bay from 23 Feb. to 28 Apr. every six days, including one daily sampling site and one bidaily sampling site. The concentrations of nutrient variables showed ranges of 0.02-3.20 mg/L for dissolved silicate (Si); 0.06-2.40 mg/L for DIN (NH4N + NO2N + NO3N); 0.03-0.56 mg/L for PO4P and 0.22-193.37 mu g/L for chlorophyll a, respectively. The concentration of chlorophyll a and inorganic nutrients were interpolated using GIS techniques. The results indicated that the spring bloom was occurred twice in space during the whole monitoring period (The first one: 26 Feb.-23 Mar.; the second one: 23 Mar.-28 Apr.). The concentration of DIN was always high in the mouth of Xiangxi Bay, and PO4P was high in the upstream of Xiangxi Bay during the whole bloom period. Si seems no obvious difference in space in the beginning of the spring bloom, but showed high heterogeneity in space and time with the development of spring bloom. By comparing the interpolated maps of chlorophyll a and inorganic variables, obvious consumptions of Si and DIN were found when the bloom status was serious. However, no obvious depletion of PO4P was found. Spatial regression analysis could explained most variation of Chl-a except at the begin of the first and second bloom. The result indicated that Si was the factor limiting Chl-a in space before achieved the max area of hypertrophic in the first and second bloom period. When Si was obviously exhausted, DIN became the factor limiting the Chl-a in space. Daily and bidaily monitoring of Site A and B, representing for high DIN: PO4P ratio and low DIN:PO4P ratio, indicated that the concentration of Si was decreased with times at both site A and B, and the dramatically drop of DIN was found in the end monitoring at site B. Multiple stepwise regression analysis indicated that Si was the most important factor affect the development of spring bloom both at site A and B in time series.The spatial and temporal dynamics of physical variables, inorganic nutrients and phytoplankton chlorophyll a were investigated in Xiangxi Bay from 23 Feb. to 28 Apr. every six days, including one daily sampling site and one bidaily sampling site. The concentrations of nutrient variables showed ranges of 0.02-3.20 mg/L for dissolved silicate (Si); 0.06-2.40 mg/L for DIN (NH4N + NO2N + NO3N); 0.03-0.56 mg/L for PO4P and 0.22-193.37 mu g/L for chlorophyll a, respectively. The concentration of chlorophyll a and inorganic nutrients were interpolated using GIS techniques. The results indicated that the spring bloom was occurred twice in space during the whole monitoring period (The first one: 26 Feb.-23 Mar.; the second one: 23 Mar.-28 Apr.). The concentration of DIN was always high in the mouth of Xiangxi Bay, and PO4P was high in the upstream of Xiangxi Bay during the whole bloom period. Si seems no obvious difference in space in the beginning of the spring bloom, but showed high heterogeneity in space and time with the development of spring bloom. By comparing the interpolated maps of chlorophyll a and inorganic variables, obvious consumptions of Si and DIN were found when the bloom status was serious. However, no obvious depletion of PO4P was found. Spatial regression analysis could explained most variation of Chl-a except at the begin of the first and second bloom. The result indicated that Si was the factor limiting Chl-a in space before achieved the max area of hypertrophic in the first and second bloom period. When Si was obviously exhausted, DIN became the factor limiting the Chl-a in space
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