En animerad film kring universell urformning och hållbar gestaltning av stadsmiljöer. I samarbete med Göteborgs stad.

Work is central to people’s lives and the course of their life. The opportunities and chances an individual can have in their life are significantly connected to work. Individuals' work is also crucial for organisations, companies and for the whole of society. There is a constant need to make changes and readjustments of working life since these can deeply affect the individual and their employabi

When evaluating quantities of interest that depend on the solutions to differential equations, we inevitably face the trade-off between accuracy and efficiency. Especially for parametrized, time-dependent problems in engineering computations, it is often the case that acceptable computational budgets limit the availability of high-fidelity, accurate simulation data. Multi-fidelity surrogate modeli

This work proposes a Bayesian inference method for the reduced-order modeling of time-dependent systems. Informed by the structure of the governing equations, the task of learning a reduced-order model from data is posed as a Bayesian inverse problem with Gaussian prior and likelihood. The resulting posterior distribution characterizes the operators defining the reduced-order model, hence the pred

Agriculture is a backbone of the Indian economy, nowadays farmers are facing manpower problem, it may be due to migration of the manpower, and they need to manage the infinite resources in agriculture. Computer application for precise management is a novel weapon to increase the utilization of resources efficiently. Crop-dusting is a farmer's tedious, repetitive work, which drones will take over t

A successful vaccination program depends on secure vaccine storage as well as safe and effective vaccine delivery. An Internet of Things (IoT) based vaccine distribution and monitoring model, which is used to transport and monitor vaccines to locations where they will be properly kept for eventual use, is developed and tested. Coronavirus (COVID-19) was first identified in December 2019 in Wuhan c

With the rise of the COVID-19 pandemic across the globe, people have come to understand the requirement of sanitation. However, other than the personal hygiene, sanitization of all the appliances (like mobile phone, wristwatch, wallet, eye wear, etc.) has become very important. Therefore, the requirement of germicides is being increased to sanitize all the appliances. A few germicides comprise che

An energy-based a posteriori error bound is proposed for the physics-informed neural network solutions of elasticity problems. An admissible displacement-stress solution pair is obtained from a mixed form of physics-informed neural networks, and the proposed error bound is formulated as the constitutive relation error defined by the solution pair. Such an error estimator provides an upper bound of

Highly accurate numerical or physical experiments are often very time-consuming or expensive to obtain. When time or budget restrictions prohibit the generation of additional data, the amount of available samples may be too limited to provide satisfactory model results. Multi-fidelity methods deal with such problems by incorporating information from other sources, which are ideally well-correlated

Wireless Sensor Networks (WSNs) enhance the ability to sense and control the physical environment in various applications. The functionality of WSNs depends on various aspects like the localization of nodes, the strategies of node deployment, and a lifetime of nodes and routing techniques, etc. Coverage is an essential part of WSNs wherein the targeted area is covered by at least one node. Computa

As a generalization of the work in [Lee et al., 2017], this note briefly discusses when the prior of a neural network output follows a Gaussian process, and how a neural-network-induced Gaussian process is formulated. The posterior mean functions of such a Gaussian process regression lie in the reproducing kernel Hilbert space defined by the neural-network-induced kernel. In the case of two-layer

The first book in this exciting new series, written and edited by a group of international experts in the field, this exciting new volume covers the latest advances and challenges in the next generation of antennas. Antenna design and wireless communication has recently witnessed their fastest growth period ever in history, and these trends are likely to continue for the foreseeable future. Due to

The degradation of reinforced concrete (RC) structures has raised major concerns in the concrete industry. The demolition of existing structures has shown to be an unsustainable solution and leads to many financial concerns. Alternatively, the strengthening sector has put forward many sustainable solutions, such as the retrofitting and rehabilitation of existing structural elements with fiber-rein