Search results for "Network"
showing 10 items of 7718 documents
Biotic homogenisation in bird communities leads to large-scale changes in species associations
2020
AbstractAimThe impact of global change on biodiversity is commonly assessed in terms of changes in species distributions, community richness and community composition. Whether and how much associations between species, i.e. the degree of correlation in their spatial co-occurrence, are also changing is much less documented and mostly limited to local studies of ecological networks. In this study, we quantify changes in large-scale patterns of species associations in bird communities in relation to changes in species composition.LocationFrance.Time period2001-2017.Major taxa studiedCommon breeding birds.MethodsWe use network approaches to build three community-aggregated indices reflecting co…
Fuzzy sliding mode control design for a class of disturbed systems
2014
This paper discusses the problem of the fuzzy sliding mode control for a class of disturbed systems. First, a fuzzy auxiliary controller is constructed based on a feedback signal not only to estimate the unknown control term, but also participates in the sliding mode control due to the fuzzy rule employed. Then, we extend our theory into the cases, where some kind of system information can not be obtained, for better use of our theoretical results in real engineering. Finally, some typical numerical examples are included to demonstrate the effectiveness and advantage of the designed sliding mode controller. Refereed/Peer-reviewed
How build up soil bacterial co-occurrence networks from wide spatial scalesampling?
2019
National audience; Although land use drives soil bacterial diversity and community structure, littleinformation about the bacterial interaction networks is available. Here, we investigatedbacterial co-occurrence networks in soils under different types of land use (forests, grasslands,crops and vineyards) by sampling 1798 sites in the French Soil Quality Monitoring Networkcovering all of France. An increase in bacterial richness was observed from forests tovineyards, whereas network complexity respectively decreased from 16,430 links to 2,046.However, the ratio of positive to negative links within the bacterial networks ranged from 2.9 inforests to 5.5 in vineyards. Networks structure was ce…
Time Unification on Local Binary Patterns Three Orthogonal Planes for Facial Expression Recognition
2019
International audience; Machine learning has known a tremendous growth within the last years, and lately, thanks to that, some computer vision algorithms started to access what is difficult or even impossible to perceive by the human eye. While deep learning based computer vision algorithms have made themselves more and more present in the recent years, more classical feature extraction methods, such as the ones based on Local Binary Patterns (LBP), still present a non negligible interest, especially when dealing with small datasets. Furthermore, this operator has proven to be quite useful for facial emotions and human gestures recognition in general. Micro-Expression (ME) classification is…
Prawa człowieka w rzeczywistości globalnej wioski
2015
The area widely and loudly discussed, often raised in the public discourse is the topic of human rights. This topic is not new, it was already known in antiquity. Today it acquires a specific context of a shrinking global reality. As a result of computerization and media the world has become a global village, in which the events happening in the one place can at the same time can be reported in another. On the one hand we can see the cultural diversity and on the other there is a global diffusion of symbols and values. So does globalization help or impede the adoption of the same rights as fundamental human rights? Is the universality of these rights possible? Or perhaps cultural difference…
Bidirectional cell-matrix interaction dictates neuronal network formation in a brain-mimetic 3D scaffold
2022
Human pluripotent stem cells (hPSC) derived neurons are emerging as a powerful tool for studying neurobiology, disease pathology, and modeling. Due to the lack of platforms available for housing and growing hPSC-derived neurons, a pressing need exists to tailor a brain-mimetic 3D scaffold that recapitulates tissue composition and favourably regulates neuronal network formation. Despite the progress in engineering biomimetic scaffolds, an ideal brain-mimetic scaffold is still elusive. We bioengineered a physiologically relevant 3D scaffold by integrating brain-like extracellular matrix (ECM) components and chemical cues. Culturing hPSCs-neurons in hyaluronic acid (HA) gels and HA-chondroitin…
Farm-Scale Crop Yield Prediction from Multi-Temporal Data Using Deep Hybrid Neural Networks
2021
Farm-scale crop yield prediction is a natural development of sustainable agriculture, producing a rich amount of food without depleting and polluting environmental resources. Recent studies on crop yield production are limited to regional-scale predictions. The regional-scale crop yield predictions usually face challenges in capturing local yield variations based on farm management decisions and the condition of the field. For this research, we identified the need to create a large and reusable farm-scale crop yield production dataset, which could provide precise farm-scale ground-truth prediction targets. Therefore, we utilise multi-temporal data, such as Sentinel-2 satellite images, weath…
A COST BENEFIT ANALISYS FOR HYDROPOWER PRODUCTION IN WATER DISTRIBUTION NETWORKS BY PUMP AS TURBINE (PAT)
2013
The use of micro hydroelectric plant in urban pipe networks, based on the combination of a PAT, two regulating valves and two pressure meters, is proposed along with simple automation rules. Its economic benefit is tested on a small pipe network, where the network geometry, as well as the demand coefficient variation in time and space have been inferred from previously collected data and existing analysis. A similar analysis has been also carried out for different scenarios, where the reduction of pipe installation cost due to a diameter reduction is compared with the increased benefit in energy production. The case study shows that a small increment of the pipe installation cost, with resp…
A method for anomaly detection in hyperspectral images, using deep convolutional autoencoders
2017
Menetelmä poikkeavuuksien havaitsemiseen hyperspektrikuvista käyttäen syviä konvolutiivisia autoenkoodereita. Poikkeavuuksien havaitseminen kuvista, erityisesti hyperspektraalisista kuvista, on hankalaa. Kun ongelmaan yhdistetään ennalta tuntematon data ja poikkeavuudet, muodostuu ongelma vielä laajemmaksi. Spektraalisten poikkeavuuksien havaitsemiseen on kehitetty useita eri menetelmiä, mutta spatiaalisten poikkeavuuksien havaitseminen on huomattavasti hankalempaa. Tässä työssä esitellään uudenkaltainen menetelmä sekä spatiaalisten että spektraalisten poikkeavuuksien samanaikaiseen havaitsemiseen. Menetelmä on suunniteltu erityisesti spektraaliselle datalle, mutta soveltuu myös perinteisil…
How the unbanked cope with financial exclusion: Evidence from Pakistan
2016
This article investigates both the coping strategies employed by low-income unbanked consumers in Pakistan and the consequences of those strategies. Qualitative data were gathered from low-income unbanked consumers through in-depth interviews. The findings suggest that unbanked consumers utilize their respective social networks and various market and personal resources to cope with financial exclusion. The utilization of social network resources to cope with financial exclusion typically enabled participants to fulfill their obligations in a positive manner and enhanced solidarity and trust among group members, whereas the use of market and personal resources tended to produce more negative…