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ExtendJ : Extensible Java compiler

ExtendJ (formerly JastAddJ) is an extensible Java compiler, supporting full Java source-to-bytecode compilation. ExtendJ enables researchers and developers to easily build powerful language extensions, custom static analyses, and other tools for Java. ExtendJ is built with Reference Attribute Grammars and Aspect Oriented Programming, enabling easy extension development.

Statistical Modeling and Learning of the Environmental and Genetic Drivers of Variation in Human Immunity

During the last decade the variation in the human genome has been mapped in fine detail. Next generation sequencing has made it possible to cheaply and rapidly aquire vast amounts of biomolecular information on large cohorts of people. This have enabled large-scale epidemiological studies to investigate the relationships between environmental and genetic factors and human biomolecular traits. It i

On Distributed Optimal Control of Traffic Flows in Transportation Networks

We propose and analyze distributed computation algorithms for finite-horizon optimal control problems in transportation networks. We model traffic flow dynamics by the cell-transmission model and focus on two problems: system-optimum dynamic traffic assignment (where the routing is part of the optimization) and freeway network control (where the routing is exogenous and the optimization is confine

Bias correction of GPM IMERG Early Run daily precipitation product using near real-time CPC global measurements

This study focused on improving the performance of the near real-time Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (IMERG) Early Run (IMERG-E) product based on a newly developed bias-correction scheme, LSCDF. The LSCDF was established by integrating the mean-based Linear Scaling (LS) and quantile-mapping Cumulative Distribution Function (CDF) matching approaches. The

Learning-Based Controller Design with Application to a Chiller Process

In this thesis, we present and study a few approaches for constructing controllers for uncertain systems, using a combination of classical control theory and modern machine learning methods. The thesis can be divided into two subtopics. The first, which is the focus of the first two papers, is dual control. The second, which is the focus of the third and last paper, is multiple-input multiple-outp

A monitoring protocol for vegetation change on Irish peatland and heath

Amendments to Articles 3.3 and 3.4 of the Kyoto Protocol have meant that detection of vegetation change may now form an interracial part of national soil carbon stocks. In this study multispectral multi-platform satellite data was processed to detect change to the surface vegetation of four peatland sites and one heath in Ireland. Spectral and spatial thresholds were used on difference images betw

Distributed Management of CPU Resources for Time-Sensitive Applications

The number of applications sharing the same embedded device is increasing dramatically. Very efficient mechanisms (resource managers) for assigning the CPU time to all demanding applications are needed. Unfortunately, existing optimization-based resource managers consume too much resource themselves. In this paper, we address the problem of distributed convergence to fair allocation of CPU resourc

ThermOS: System Support for Dynamic Thermal Management of Chip Multi-Processors

Constraining the temperature of computing systems has become a dominant design aspect. The supply voltage decrease has lost its pace even though the feature size is shrinking constantly. This results in an increased number of transistors per unit of area and hence a growing power density. Researchers started investigating dynamic thermal management techniques to trade-off performance for energy co

Real-Time Brain-Computer Interfaces

A brain-computer interface (BCI) is a real-time system that converts a user’s brain activity into commands, enabling control over applications such as moving a cursor on the screen. This conversion is made possible by machine learning techniques and other algorithms. Historically, BCI research has focused on the analysis of brain signals offline. However, increasing computational power and algorit

Precessional variation of monsoon-controlled silicate weathering caused steady atmospheric carbon dioxide consumption during glacial periods

Silicate weathering regulates climate as a critical carbon sink, yet understanding its role in the carbon cycle is challenging because of limited knowledge about the impact of temperature and rainfall on weathering during glacial-interglacial cycles. Here we investigated the orbital scale of silicate weathering variations and their role in atmospheric carbon dioxide sequestration using reconstruct

ReLog – en Triple Helix forskningsplattform

ReLog – en Triple Helix forskningsplattform | ReLog LTH Sök ReLog LTH, Lunds Tekniska Högskola Om oss Utbildning Forskning Projekt Samverkan Kontakt ReLog - en Triple Helix forskningsplattform ReLog är ett starkt integrerat samarbete mellan Familjen Helsingborg, Lunds Universitet på Campus Helsingborg, och regionens näringsliv. Utbildning ReLog utgör en forskningsöverbyggnad på den framgångsrika m

https://www.relog.lth.se/ - 2026-05-21

Service-oriented Process Control with Grafchart and the Devices Profile for Web Services

To fulfill increasing requirements within the manufacturing sector, highly flexible and adaptable automation systems are needed. It is desirable to have one integrated approach that stretches from the process planning phase, through the implementation phase and all the way to the phase for execution of the process control logics. One promising approach is to use the concepts of service-oriented ar

Observer-Based Plasma Glucose Prediction in Type I Diabetes

Recent years’ progress in the development of Continuous Glucose Monitors (CGM) has made rich well-sampled glucose data readily available. Reliable, frequent measurements are of outmost importance for the emerging closed-loop control of diabetic plasma glucose. However, these sensors do not measure the variable of primary interest - plasma glucose, but a delayed signal - the interstitial glucose. T

Nya arbetsmiljöplanen inte långsiktigt hållbar

Globalisering, ny teknologi och demografiska förändringar innebär genomgripande förändringar av arbetsmiljö och arbetsorganisation. Om arbetsmiljöpolitiken då inte är tydlig och viljeinriktad finns en påtaglig risk för ett polariserat arbetsliv, där de som kan välja mellan olika arbetsgivare får en god och utvecklande arbetsmiljö, medan de andra riskerar att bli hänvisade till förhållanden där int

Distributed Low-Complexity Controller for Wind Power Plant in Derated Operation

We consider a wind power plant of megawatt wind turbines operating in derated mode. When operating in this mode, the wind power plant controller is free to distribute power set-points to the individual turbines, as long as the total power demand is met. In this work, we design a controller that exploits this freedom to reduce the fatigue on the turbines in the wind power plant. We show that the co