1,271 research outputs found
Natuur past goed op intensief melkveebedrijf
Nadelige effecten op de bedrijfsvoering zijn er nauwelijks, het extra werk is beperkt. Natuur begint zich geleidelijk te ontwikkelen
Memory and Parallelism Analysis Using a Platform-Independent Approach
Emerging computing architectures such as near-memory computing (NMC) promise
improved performance for applications by reducing the data movement between CPU
and memory. However, detecting such applications is not a trivial task. In this
ongoing work, we extend the state-of-the-art platform-independent software
analysis tool with NMC related metrics such as memory entropy, spatial
locality, data-level, and basic-block-level parallelism. These metrics help to
identify the applications more suitable for NMC architectures.Comment: 22nd ACM International Workshop on Software and Compilers for
Embedded Systems (SCOPES '19), May 201
Reservaatbeheer met zoogkoeien kost geld
Bij de huidige vleesprijzen zijn de opbrengsten van de vleesveehouderij laag en kan een zoogkoeienhouder geen pacht betalen, maar moet hij een vergoeding krijgen om met het begrazen van natuurterreinen een inkomen te halen
How to train accurate BNNs for embedded systems?
A key enabler of deploying convolutional neural networks on
resource-constrained embedded systems is the binary neural network (BNN). BNNs
save on memory and simplify computation by binarizing both features and
weights. Unfortunately, binarization is inevitably accompanied by a severe
decrease in accuracy. To reduce the accuracy gap between binary and
full-precision networks, many repair methods have been proposed in the recent
past, which we have classified and put into a single overview in this chapter.
The repair methods are divided into two main branches, training techniques and
network topology changes, which can further be split into smaller categories.
The latter category introduces additional cost (energy consumption or
additional area) for an embedded system, while the former does not. From our
overview, we observe that progress has been made in reducing the accuracy gap,
but BNN papers are not aligned on what repair methods should be used to get
highly accurate BNNs. Therefore, this chapter contains an empirical review that
evaluates the benefits of many repair methods in isolation over the
ResNet-20\&CIFAR10 and ResNet-18\&CIFAR100 benchmarks. We found three repair
categories most beneficial: feature binarizer, feature normalization, and
double residual. Based on this review we discuss future directions and research
opportunities. We sketch the benefit and costs associated with BNNs on embedded
systems because it remains to be seen whether BNNs will be able to close the
accuracy gap while staying highly energy-efficient on resource-constrained
embedded systems
Development of nature-oriented dairy farm systems with an optimization model: the case of ‘Farming for Nature’ in ‘de Langstraat’, the Netherlands
‘Farming for Nature’, a relatively new policy instrument being tried out in the Netherlands, is evaluated. The concept has been designed to allow dairy farmers to improve nature conservation on their farms. Under the scheme, no manure, fertilizer, or feed – concentrates or roughage - may be imported into farm systems from external sources. The feasibility of such a self-sustaining system and the conditions required for it to deliver the desired results, are explored with a farm-based linear programming model known as FIONA (Farm based Integrated Optimization Model for Nature and Agriculture). The model is explained and applied to ‘de Langstraat’, a region in southern Netherlands. The results show that levels of production under the ‘Farming for Nature’ regime are dependent upon soil fertility and the proportion of land that is suitable for growing arable crops. If all available land on a dairy farm in the scheme is arable land, then high production levels of up to 7,500 kg milk per hectare can be realized. If only 30% of the farm area is suitable for arable crops, then only lower production levels, of about 6,600 kg milk per hectare can be realized. The scheme has positive ecological effects. Both nature and cultural landscape values may benefit significantly from the concept. Improvement in ecological terms however, carries a price in terms of agricultural income. An average dairy farm adopting the concept of ‘Farming for Nature’ experiences an income loss of approximately € 840 per hectare in the short-run (5-10 years). More important is the observation that the scale of such farms in the short-run might be too small to earn an attractive income for its workers, even when fully compensated according to European Union regulations.nature management, dairy farming system, linear programming, farm-economics, Farm Management, Land Economics/Use,
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