From a Large to a Small Scale Soil Map: Top-Down Against Bottom-Up Approaches

Author(s):  
F. Carré ◽  
H.I. Reuter ◽  
J. Daroussin ◽  
O. Scheurer
1992 ◽  
Vol 29 (3) ◽  
pp. 213-219
Author(s):  
V. G. Popov ◽  
A. M. Razakov ◽  
V. Ye. Sektimenko ◽  
A. A. Tursunov

2021 ◽  
Vol 11 (14) ◽  
pp. 6612
Author(s):  
Usman Nasir ◽  
Ruidong Chang ◽  
Hossein Omrany

This paper aims to critically review the current body of literature relating to the calculation methods of construction material stock. To this end, this study adopts a systematic literature review technique in order to identify the relevant studies. The findings revealed that the bottom-up and top-down methodologies were commonly employed by the reviewed studies. Based on the findings, it is recommended that the bottom-up approach should be utilized when dealing with small-scale areas or where more accurate results are required. The top-down method should be used wherein the research area is large, and the results could be estimated based upon assumptions and statistical data. Similarly, the demand-driven methodology should be used to find the material stock accumulation due to socio-economic factors. The study also found that the material stock results can be used as data for other research, such as waste management and embodied energy. Further, this paper proposes a conceptual framework to ease the process of calculating construction material stocks in different projects. The outcomes of this research shall be beneficial for future studies that explore the literature connected to the construction material stock and recommend methods and techniques that should be used to quantify the material stock.


2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Lifei He ◽  
Ming Jiang ◽  
Ryutarou Ohbuchi ◽  
Takahiko Furuya ◽  
Min Zhang ◽  
...  

Object detection is one of the core tasks in computer vision. Object detection algorithms often have difficulty detecting objects with diverse scales, especially those with smaller scales. To cope with this issue, Lin et al. proposed feature pyramid networks (FPNs), which aim for a feature pyramid with higher semantic content at every scale level. The FPN consists of a bottom-up pyramid and a top-down pyramid. The bottom-up pyramid is induced by a convolutional neural network as its layers of feature maps. The top-down pyramid is formed by progressive up-sampling of a highly semantic yet low-resolution feature map at the top of the bottom-up pyramid. At each up-sampling step, feature maps of the bottom-up pyramid are fused with the top-down pyramid to produce highly semantic yet high-resolution feature maps in the top-down pyramid. Despite significant improvement, the FPN still misses small-scale objects. To further improve the detection of small-scale objects, this paper proposes scale adaptive feature pyramid networks (SAFPNs). The SAFPN employs weights chosen adaptively to each input image in fusing feature maps of the bottom-up pyramid and top-down pyramid. Scale adaptive weights are computed by using a scale attention module built into the feature map fusion computation. The scale attention module is trained end-to-end to adapt to the scale of objects contained in images of the training dataset. Experimental evaluation, using both the 2-stage detector faster R-CNN and 1-stage detector RetinaNet, demonstrated the proposed approach’s effectiveness.


2021 ◽  
Vol 8 ◽  
Author(s):  
Natalia Serpetti ◽  
Steven Benjamins ◽  
Stevie Brain ◽  
Maurizio Collu ◽  
Bethany J. Harvey ◽  
...  

Aquaculture and marine renewable energy are two expanding sectors of the Blue Economy in Europe. Assessing the long-term environmental impacts in terms of eutrophication and noise is a priority for both the EU Water Framework Directive and the Marine Strategy Framework Directive, and cumulative impacts will be important for the Maritime Spatial Planning under the Integrated Maritime Policy. With the constant expansion of aquaculture production, it is expected that farms might be established further offshore in more remote areas, as high-energy conditions offer an opportunity to generate more power locally using Marine Renewable Energy (MRE) devices. A proposed solution is the co-location of MRE devices and aquaculture systems using Multi-Purpose Platforms (MPPs) comprising offshore wind turbines (OWTs) that will provide energy for farm operations as well as potentially shelter the farm. Disentangling the impacts, conflicts and synergies of MPP elements on the surrounding marine ecosystem is challenging. Here we created a high-resolution spatiotemporal Ecospace model of the West of Scotland, in order to assess impacts of a simple MPP configuration on the surrounding ecosystem and how these impacts can cascade through the food web. The model evaluated the following specific ecosystem responses: (i) top-down control pathways due to distribution changes among top-predators (harbor porpoise, gadoids and seabirds) driven by attraction to the farming sites and/or repulsion/killing due to OWT operations; (ii) bottom-up control pathways due to salmon farm activity providing increasing benthic enrichment predicated by a fish farm particle dispersal model, and sediment nutrient fluxes to the water column by early diagenesis of organic matter (recycled production). Weak responses of the food-web were found for top-down changes, whilst the results showed high sensitivity to increasing changes of bottom-up drivers that cascaded through the food-web from primary producers and detritus to pelagic and benthic consumers, respectively. We assessed the sensitivity of the model to each of these impacts and the cumulative effects on the ecosystem, discuss the capabilities and limitations of the Ecospace modeling approach as a potential tool for marine spatial planning and the impact that these results could have for the Blue Economy and the EU’s New Green Deal.


Author(s):  
Liz Richardson ◽  
Peter John

Background: Behavioural public policies, known as nudges, suffer from lack of citizen consent and involvement, which has led to an argument for more reflective nudges, known as ‘nudge plus’.Aims and objectives: How can more citizen reflection be introduced in a way that is not itself top-down and paternalist in spite of good intentions? How might these ‘nudge pluses’ develop on the ground?Methods: This paper reports a mixed-methods case study.Findings: In the case study, there was an intervention that started off as a top-down nudge, using a randomised controlled trial. The nudge then evolved into a bottom-up initiative with citizen input aided by a design lab approach.Discussion: One way to address tensions between top-down and bottom-up approaches is to let in the messiness and loss of direct control implied in a design lab, whereby nudge pluses might evolve naturally and without expert direction. The success of the eventual initiative points the way to more design-based nudge plus interventions.Conclusion: Nudge pluses may emerge naturally as a result of the evolutionary co-design process. There is potential for replication, with cross-fertilisation between different traditions by introducing behaviour change policies with a design-based approach.<br />Key messages<br /><ul><li>Expert-led behaviour change can be paternalistic; participatory alternatives have been small-scale and costly.</li><br /><li>Nudge plus is trans-disciplinary; citizen reflection and technical expertise shape behavioural public policies.</li><br /><li>Design principles complement nudge plus through multiple forms of expertise, and iterative learning-by-doing.</li><br /><li>Greater crossover is possible than exists between behaviour change and design labs in designing behavioural policy.</li></ul>


PsycCRITIQUES ◽  
2005 ◽  
Vol 50 (19) ◽  
Author(s):  
Michael Cole
Keyword(s):  
Top Down ◽  

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