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Ett första steg i arbetet att uppskatta kolflödet mellan landbaserade ekosystem och atmosfären är att så precist som möjligt analysera kvantiteten ovanjordisk biomassa. LiDAR teknologi har i detta avseende visat sig vara ett värdefullt verktyg. Det överlöpande målet med denna studie är att utveckla en förenklad metod, baserad på fjärranalys, för att uppskatta ovanjordisk biomassa för individuella As a first step in the assessment of carbon flux between the terrestrial environment and the atmosphere it is important to accurately quantify the carbon stock of forest ecosystems. LiDAR technology, in this respect, has proved to be a valuable tool, able to provide accurate estimates of aboveground biomass (AGB). The overall goal of this study was to develop a simplified method for assessing AGB

The purpose of this thesis is to investigate the impact of exchange rate volatility on aggregate foreign trade. We use annual data from 15 Asian countries over 30 years. The exchange rate volatility is derived primarily based on GARCH models and MASD. This thesis applies both the static fixed-effect panel data model and dynamic GMM model, then compares the obtained results and uses the OLS method

This paper examines the sufficiency of a trading method based on singular value decomposition (SVD) of past stock prices. The SVD method is frequently used as a tool to reduce data noise, compress big-data, and analyse data components. Hence, the method is well suited to form a ground for a predictive tool of price developments. From the predicted pattern, a strategy was formed by construction of

This thesis work deals with the determination of mass- and heat transfer coefficients for pharmaceutical vial freeze-drying and the one-dimensional steady state computer modelling of primary drying. The overall heat transfer coefficient K_V for the vial/freeze-dryer system was successfully determined using a gravimetric method. The overall resistance to mass transfer R_p was successfully determine

Within the next thirty years, two thirds of the human population will live in a city. This growing urban population requires a major shift in the way we produce and distribute food, since industrial agriculture practices contribute to climate change, biodiversity losses, pollution of waterways, soil degradation, etc. Urban and peri-urban agriculture and forestry (UPAF) represent one of the strateg

Synchrotron and Free Electron Laser (FEL) light is becoming an increasingly sought after tool for almost all scientific research aspects. MAX IV Laboratory introduced the first 4th generation light source that provides the brightest synchrotron light in the world. Since all of the experiments at MAX IV rely only on Insertion Device (ID) radiation, the need for improving ID technology has subsequen

The purpose of this thesis was to explore the Swedish pharmacy market and the potential influence different levels of legal pressure have on sustainability reporting. Interviews with pharmacy representatives and document analysis of sustainability reports and policies were combined, grounded in a constructivist perspective to analyze incentives for sustainability reporting. The data collected was

Everyone who has worked with research knows how rewarding experimenting and developing new algorithms can be. However in some cases, the hard part is not the invention of these algorithms, but their evaluation. To try and make that evaluation easier, this thesis focuses on the collection of data that can be used as positional ground truths using an autonomous measurement platform. This should assi

This Master’s thesis investigates if a previously integrated Simulink based vehicle model works for testing and verifying software on an ECU (electronic control unit) used to control a four-wheel drive coupling in cars. The testing is done through a specific program called CANoe that allows the tester to both develop and run test cases. This work also investigates the possibility to use static eva

As we’re living in a modern society, most of us have been connected to the water and electricity grid, However, there’re still billions of people who are still lack of reliable water and electricity resource. In some developing countries like India and Philippines, the demand for electricity and water are far more than actual production, which causes frequent electricity and water shortage problem

Value at Risk (VaR) is a popular measurement for valuing the risk exposure. Correct estimates of VaR are essential in order to properly be able to monitor the risk. This thesis examines a copula approach for estimating VaR for portfolios of commodities. The predictions are made from a semi- parametric model with Monte Carlo methods. The underlying model is constructed by choosing the best fit from

Biodiesel is an important alternative to ordinary diesel when limiting the effects on the climate. However, the production path of biodiesel produces a wastewater with a high chemical oxygen demand (COD) and it needs to be cleaned. The aim of this study was to characterise biodiesel wastewater as well as to suggest treatment options. The biodiesel wastewater studied came from a biodiesel plant i

Tekniken för millimetervågor har fått stor uppmärksamhet inom 5G-kommunikation tack vare att ett stort spektrum finns tillgängligt i frekvensområdet för millimetervågor. Men mm-våglänkarna lider av allvarlig bana-förlust och atmosfärisk absorption. Strålformning,, att skapa riktade strålar som kan riktas åt olika håll med hjälp av ett stort antal antenner, är en lovande lösning till dessa utmaningMillimeter wave (mmWave band) technology has gained a lot of attention in 5G communications, due to large amounts of spectrum being available in the mmWave frequency range. However, mmWave links suffer from severe free-space loss and atmospheric absorption. Beamforming, which generates directed beams with strong gain using multiple antennas, is one promising solution towards these challenges. In t

As our way of living exploits the resources of the earth and our energy use keeps on increasing, we are now facing a climate crisis never seen before in modern time. To face these consequences and try to ease the harm we need to transform our extraction and use of energy. The use of chemical energy carriers and fuel cells offers the possibility of a completely green solution for energy distributio

Japanese knotweed, Reynoutria japonica, is a highly invasive alien species which has spread in Europe and America since it was introduced in the middle of 1800. Its ability to outcompete and suppress native plants and combined with its resilience and regenerative properties makes it difficult to control. Therefore, multiple methods have been tried to control this plant, but with varying success. T

Problem definition Nowadays society is very concerned with sustainability. Companies try their best to meet sustainability customers’ expectations and regulations. The adoption of Lean and Six Sigma could bring sustainability improvements, but it is not clear how these three areas are combined and how they are currently addressed by companies. Purpose Explore the relationship between Lean, Six Sig

Denna studie har genomförts på Tetra Pak för att studera deformation i vätskekartong under vikning. När en förpackning formas i fyllmaskinerna viks kartongen enligt biglinjerna. Det finns ett stort intresse av att studera vikprocessen då den är avgörande för den slutgiltiga kvaliteten av förpackningen. Matematiska modeller används för att simulera kartong men dessa kräver verkliga mätningar och dThis study has been conducted at Tetra Pak to study deformation in liquid packaging paperboard during the folding process. When a package is formed in the filling machines, the paperboard is folded according to the crease lines. It is of great interest to study the folding process since it is crucial to the final quality of the package. Mathematical models are used for simulation of paperboard bu

Image-based rendering for view synthesis is a field within computer vision that has seen a growing number of research activity within the past few years, much due to deep learning techniques emerging, allowing researchers to re-format view synthesis as a learning problem. The multiplane image (MPI) is a recently proposed learning-based layered 3D representation, created from one or a few input ima