Several satellite-borne ocean colour Earth observation (EO) sensors are presently collecting data on an operational basis, including the Envisat MERIS sensor. This study aims at detecting differences in ocean colour EO sensor performances for ocean monitoring and in particular the study of algal bloom situations. The motivation for the present study is to explore how data from different sensors...

Classical Bloom filters may be used to elegantly check if an element e belongs to a set S, and, if not, to add e to S. They do not store any data and only provide boolean answers regarding the membership of a given element in the set, with some probability of false positive answers. Bloom filters are often used in caching system to check that some requested data actually exist before doing a co...

The marine ecosystem along the Western Antarctic Peninsula undergoes a dramatic seasonal transition every spring, from almost total darkness to almost continuous sunlight, resulting in a cascade of environmental changes, including phytoplankton blooms that support a highly productive food web. Despite having important implications for the movement of energy and materials through this ecosystem,...

Bloom filters and Counting Bloom Filters (CBFs) are widely used in networking device algorithms. They implement fast set representations to support membership queries with limited error. Unlike Bloom filters, CBFs also support element deletions. In the first part of the talk, I will introduce a new general method based on variable increments to improve the efficiency of CBFs and their variants....

A Bloom filter represents a set S of elements approximately, by using fewer bits than a precise representation. The price for succinctness is allowing some errors: for any x ∈ S it should always answer ‘Yes’, and for any x / ∈ S it should answer ‘Yes’ only with small probability. The latter are called false positive errors. In this work we study the possibility of Bloom filters in a stronger se...

The dynamics of persistent organic pollutants in the oceans are not well constrained, in particular during a bloom formation and collapse. Polychlorinated biphenyls (PCBs) and some pesticides were measured in air, water, and zooplankton tracking the North Atlantic Bloom in May 2008. Lower weight PCBs were entering the water column from the atmosphere during the main bloom period but reached equ...

In recent work, the authors introduced a data structure with the same functionality as a counting Bloom filter (CBF) based on fingerprints and the d-left hashing technique. This paper describes dynamic bit reassignment, an approach that allows the size of the fingerprint to flexibly change with the load in each hash bucket, thereby reducing the probability of a false positive. This technique al...

AIM To describe multiple retinal abnormalities in a patient with Bloom syndrome, including early macular drusen, diabetic retinopathy, and the onset of leukaemic retinopathy. METHODS Clinical data were collected over 1 year of follow up, and ocular abnormalities in Bloom syndrome were reviewed from the literature. RESULTS A 39 year old man with a rare autosomal recessive "chromosome breakag...

Microcystis aeruginosa is a major primary producer and a common toxic cyanobacterium, playing an important role in the aquatic environment (Chen et al., 2016). Microcystis aeruginosa is commonly observed in highly eutrophic lakes (Watanabe and Oishi, 1985). In recent years, surface cyanobacterial bloom occurred frequently in most large shallow lakes in China, such as Lake Taihu (Zhang et al., 2...

A novel approach to performing context discovery in ad-hoc networks based on the use of attenuated Bloom filters is proposed in this paper. A Bloom filter is an efficient spacesaving data structure to represent context information. Attenuated Bloom filters are used to advertise the availability of context information multiple hops away, and to guide queries to discover it. In order to investiga...