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In contrast to sparse keypoints, a handful of line segments can concisely encode the high-level scene layout, as they often delineate the main structural elements. In addition to offering strong geometric cues, they are also omnipresent in urban landscapes and indoor scenes. Despite their apparent advantages, current line-based reconstruction methods are far behind their point-based counterparts.
Software applications can be described using a computational model. These Models of Computation (MoCs) define rules governing application behaviour and properties that are enforced during execution. This thesis focuses on an actor-based MoC, known as dataflow-with-firing, where applications are modelled as actors connected by buffered channels. This model yields a concurrent application descriptio
District heating networks are an integral part of the energy system in many countries. In future smart energy systems, they are expected to enhance energy flexibility and support the integration of renewable and waste energy sources. An important aspect of these networks is the control of flow rates, which dictates the heat delivered to consumers. This paper concerns the properties of flow rates i
Finding the optimal subset of individuals to observe in order to obtain the best estimate of the average opinion of a society is a crucial problem in a wide range of applications, including policy-making, strategic business decisions, and the analysis of sociological trends. We consider the opinion vector X to be updated according to a DeGroot opinion dynamical model with stubborn agents, subject
With computers embedded almost everywhere, in domestic, industrial, and medical appliances and devices, computing is becoming increasingly pervasive. Services in pervasive systems can be combined and coordinated through user-defined scripts called assemblies, a light-weight and understandable way for end users to adapt services to fit their specific needs. Previous languages for assembly scripts
Over 20?000 MR systems are currently installed worldwide and, although the majority operate at magnetic fields of 1.5?T and below (i.e. about 70%), experience with 3-T (in high-field clinical diagnostic imaging and research) and 7-T (research only) human MR scanners points to a future in functional and metabolic MR diagnostics. Complementary to previous studies, this review attempts to provide an
This paper sets up a framework for designing a massive multiple-input multiple-output (MIMO) testbed by investigating hardware and system-level requirements such as processing complexity, duplexing mode and frame structure. Taking these into account, a generic system and processing partitioning is proposed which allows flexible scaling and processing distribution onto a multitude of physically sep
The first measured results for massive multiple input, multiple-output (MIMO) performance in a line-of-sight (LOS) scenario with moderate mobility are presented, with 8 users served in real-time using a 100 antenna base Station (BS) at 3.7 GHz. When such a large number of channels dynamically change, the inherent propagation and processing delay has a critical relationship with the rate of change,
Employing a large number of antennas at the base station, massive MIMO significantly improves spectral efficiency and transmit power efficiency. On the other hand, massive MIMO also introduces unprecedented implementation challenges, especially in terms of processing and storage of large-size channel state information (CSI) matrices. Since on-chip memory is generally very expensive and has limited
Massive multiple-input-multiple-output has proven to deliver improvements in both spectral and transmitted energy efficiency. However, these improvements come at the cost of critical design challenges for the hardware implementation due to the huge amount of data that has to be processed immediately, especially the storage of large channel state information (CSI) matrices. This paper presents an o
The recent interest in massive MIMO has spurred intensive work on massive MIMO channel modeling in contemporary literature. However, current models fail to take the characteristics of terminal antennas into account. There is no massive MIMO channel model available that can be used for evaluation of the influence of different antenna characteristics at the terminal side. In this paper, we provide a
The impedance matching concept is employed in this paper to select the optimum gain of a VSC-HVDC damping controller. The damping controller of the DC link is based on control of active power in proportion to the difference in local frequency at the VSC-HVDC converter stations. To explain impedance matching, the small-disturbance electro-mechanical dynamics of a power system is transformed to an e
Ensuring highly motivated employees is crucial for organizations to stay competitive. In Self-determination theory (SDT; Deci & Ryan, 2000; Gagné & Deci, 2005) employee motivation plays a crucial role for this, as employees usually perform well and experience well-being when they feel autonomously motivated, while they function less optimally when they feel controlled. Autonomous motivatio
In massive MIMO performance evaluations it is often assumed that the terminal has a single antenna. The combination of multiple antennas in a terminal and massive MIMO precoding at the base station side can further improve overall system performance. We present measurement results for multi antenna terminals operating in different transmission schemes and how they perform under varying loading con
This chapter presents a flexible platform that supports prototyping up to 20 MHz bandwidth 128-antenna multiple input, multiple output (MIMO). It devotes theory, design, implementation, and prototyping of Massive MIMO for 5G communication systems. The chapter overviews the principles and theory of Massive MIMO. It describes the channel modeling system with a focus on specific phenomena of large sc
