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Globalisation, competitive markets and increasing sustainability requirements are demanding companies to focus on visibility to improve their supply chains and ultimately their businesses. This paper aims to identify perspectives, principles and prospects of production logistics visibility (PLV). The study is based on a literature review of articles presenting definitions, development trends and t
This paper presents a structured optimization framework for reducing the computational complexity of LDPC decoders. Subject to specified performance constraints and adaptive to environment conditions, the proposed framework leverages the adjustable performance-complexity tradeoffs of the decoder to deliver satisfying performance with minimum computational complexity. More specifically, two constra
The integrated forest ecosystem model ForSAFE-Veg was used to simulate soil processes and understory vegetation composition at three—sugar maple, beech, yellow birch—hardwood forest sites in the Northeastern United States (one at Hubbard Brook, NH, and two at Bear Brook, ME). Input data were pooled from a variety of sources and proved coherent and consistent. While the biogeochemical component For
Objective: To develop evidence-based guidelines for the management of giant cell arteritis (GCA) as a complement to guidelines in other areas of rheumatology, issued by the Swedish Society of Rheumatology. Methods: A working group selected key areas for recommendations, reviewed the available evidence, and wrote draft guidelines. These were discussed and revised according to standard procedures wi
Exposure to air pollution is associated with adverse health effects in humans, with special concern for exposure to fine particulate matter (PM2.5). The physicochemical properties of aerosols impact the health effects. Considering that we spend approximately 90% of our time indoors, it is important to gain increased understanding of indoor aerosol concentrations and properties. The overall aim of
Re-entrant condensation results in the formation of a condensed protein regime between two critical ion concentrations. The process is driven by neutralization and inversion of the protein charge by oppositely charged ions. Re-entrant condensation of cationic proteins by the polyvalent anions, pyrophosphate and tripolyphosphate, has previously been observed, but not for citrate, which has similar
Secondary mitral regurgitation (MR) occurs despite structurally normal valve apparatus due to an underlying disease of the myocardium leading to disruption of the balance between tethering and closing forces with ensuing failure of leaflet coaptation. In patients with heart failure (HF) and left ventricular dysfunction, secondary MR is independently associated with poor outcome, yet prognostic ben
Having close-to-capacity performance and low error floor, even for small block lengths, make spatially coupled serially concatenated codes (SC-SCCs) a very promising class of codes. However, classical window decoding of SC-SCCs either limits the minimum block length or requires a large number of iterations, which increases the complexity and constrains the degree to which an SC-SCC decoder archite
This paper sets out to create an implementation for fingerprint-based positioning using massive multiple-input multiple-output (MIMO) technology, by means of deep convolutional neural networks (CNN), and utilizing the wireless channel state information (CSI). Due to the sheer volume of computational requirements imposed by CNN processing, an accelerator-assisted design is well-suited to the task a
Spatially coupled serially concatenated codes (SC-SCCs) are constructed by coupling several classical turbo-like component codes. The resulting spatially coupled codes provide a close-to-capacity performance and low error floor,which have attracted a lot of interest in the past few years. The aim of this paper is to perform a comprehensive design space exploration to reveal different aspects of SC
Phosphorylation is a common post-translational modification among intrinsically disordered proteins and regions, which helps regulate function by changing the protein conformations, dynamics, and interactions with binding partners. To fully comprehend the effects of phospho-rylation, computer simulations are a helpful tool, although they are dependent on the accuracy of the force field used. Here,
Climate change increases the risks of heat stress, especially in urban areas where urban heat islands can develop. This literature review aims to describe how severe heat can occur and be identified in urban indoor environments, and what actions can be taken on the local scale. There is a connection between the outdoor and the indoor climate in buildings without air conditioning, but the pathways
Periprostheteic joint infection (PJI) is a rare complication of arthroplasty with severe consequences for the affected patients. PJI most often necessitates additional surgery and prolonged courses of antibiotic treatment, leading to worse functional results and increased societal costs. Evaluating treatment of PJI as well as preventive efforts are essential to increase our understanding of PJI an
We describe the design and implementation of a new constraint programming solver that can produce an auditable record of what problem was solved and how the solution was reached. As well as a solution, this solver provides an independently verifiable proof log demonstrating that the solution is correct. This proof log uses the VeriPB proof system, which is based upon cutting planes reasoning with
Order Picking in warehouses is often optimized with a method known as Order Batching, which means thatone vehicle can be assigned to pick a batch of several orders at a time. Although there exists a rich body ofresearch on Order Batching Problem (OBP) optimization, one area which demands more attention is that ofcomputational efficiency, especially for optimization scenarios where warehouses have
Cloud computing has quickly grown to become an essential component in many modern-day software applications. It allows consumers, such as a provider of some web service, to quickly and on demand obtain the necessary computational resources to run their applications. It is desirable for these service providers to keep the running cost of their cloud application low while adhering to various perform
This thesis studies two families of methods for finding zeros of finite sums of monotone operators, the first being variance-reduced stochastic gradient (VRSG) methods. This is a large family of algorithms that use random sampling to improve the convergence rate compared to more traditional approaches. We examine the optimal sampling distributions and their interaction with the epoch length. Speci
Self-Adaptive Systems (SAS) and Cyber-Physical Systems (CPS) have received significant attention in recent computer engineering research. This is due to their ability to improve the level of autonomy of engineering artefacts. In both cases, this autonomy increase is achieved through feedback. Feedback is the iteration of sens- ing and actuation to respectively acquire knowledge about the current s
