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Theory of Time-Dependent Freezing. Part II: Scheme for Freezing Raindrops and Simulations by a Cloud Model with Spectral Bin Microphysics

The time-dependent process of raindrop freezing is described in a general form, including thermodynamic effects from the accretion of cloud liquid and cloud ice. Freezing drops (FDs) larger than 80 m (and their water mass) are represented explicitly in a cloud model with spectral bin microphysics. FDs consist of interior water covered by ice initially. Possibilities of both dry (icy surface) and w

Stable Structure from Motion for Unordered Image Collections

We present a non-incremental approach to structure from motion. Our solution is based on robustly computing global rotations from relative geometries and feeding these into the known-rotation framework to create an initial solution for bundle adjustment. To increase robustness we present a new method for constructing reliable point tracks from pairwise matches. We show that our method can be seen

TOA-Based Self-Calibration of Dual-Microphone Array

In this paper, we study the time-of-arrival (TOA) based self-calibration problem of dual-microphone array for known and unknown rack distance, and also for different combinations of dimension for the affine spaces spanned by the receivers and by the senders. Particularly, we analyze the minimum cases and present minimum solvers for the case of microphones and speakers in 3-D/3-D, in 2-D/3-D, and i

Ultra Low Energy Design Exploration of Digital Decimation Filters in 65 nm Dual-VT CMOS in the Sub-VT Domain

This paper presents an analysis of energy dissipation of a decimation filter chain of four half band digital (HBD) filters operated in the sub-threshold (sub-VT) region with throughput constraints. To combat speed degradation due to scaling of supply voltage, various HBD filters are implemented as unfolded structures. The designs are synthesized in 65 nm CMOS technology with low-power and three th

Using Text Clustering to Predict Defect Resolution Time: A Conceptual Replication and an Evaluation of Prediction Accuracy

Defect management is a central task in software maintenance. When a defect is reported, appropriate resources must be allocated to analyze and resolve the defect. An important issue in resource allocation is the estimation of Defect Resolution Time (DRT). Prior research has considered different approaches for DRT prediction exploiting information retrieval techniques and similarity in textual defe

A Low-Latency High-Throughput Soft-Output Signal Detector for Spatial Multiplexing MIMO Systems

This paper presents a low latency, high throughput soft-output signal detector for a 4x4 64-QAM spatial-multiplexing MIMO system. To achieve high data-level parallelism and accurate soft information, the detector adopts a channel-adaptive node perturbation technique to generate a list of candidate vectors around an initial linear estimation. The detection algorithm provides a large range and conve

Biogenic SOA formation through gas-phase oxidation and gas-to-particle partitioning-a comparison between process models of varying complexity

Biogenic volatile organic compounds (BVOCs) emitted by vegetation play an important role for aerosol mass loadings since the oxidation products of these compounds can take part in the formation and growth of secondary organic aerosols (SOA). The concentrations and properties of BVOCs and their oxidation products in the atmosphere are poorly characterized, which leads to high uncertainties in model

Optimization of link load balancing in multiple spanning tree routing networks

In telecommunication networks based on the current Ethernet technology, routing of traffic demands is based on multiple spanning trees: the network operator configures different routing spanning trees and assigns each demand to be routed in one of the selected spanning trees. A major optimization issue in this solution is the combined determination of (i) a set of appropriate spanning trees, and (

Energy-Efficient Soft-Input Soft-Output Signal Detector for Iterative MIMO Receivers

This paper presents the VLSI design of an energy-efficient, high-throughput soft-input soft-output signal detector for iterative multiple-input multiple-output (MIMO) receiver. The detector is evolved from our previously developed imbalanced fixed complexity sphere decoder and adopts several new algorithm-level techniques to exploit the available a priori information of transmitted bits. More spec

Hardware Efficient Approximative Matrix Inversion for Linear Pre-Coding in Massive MIMO

This paper describes a hardware efficient linear pre-coder for Massive MIMO Base Stations (BSs) comprising a very large number of antennas, say, in the order of 100s, serving multiple users simultaneously. To avoid hardware demanding direct matrix inversions required for the Zero-Forcing (ZF) pre-coder, we use low complexity Neumann series based approximations. Furthermore, we propose a method to

The PID+p controller structure and its contextual autotuning

A previous paper addressed the "PI+p" controller (a PI augmented with an additional, stable pole) and demonstrated its advantages over standard PIs, particularly if tuned with a combined model-relay-based method along the "contextual" approach proposed in another recent work. This manuscript extends the scenario to the PID+p structure, with obvious meaning, and applies the contextual approach to i

Nonconvergence to saddle boundary points under perturbed reinforcement learning

For several reinforcement learning models in strategic-form games, convergence to action profiles that are not Nash equilibria may occur with positive probability under certain conditions on the payoff function. In this paper, we explore how an alternative reinforcement learning model, where the strategy of each agent is perturbed by a strategy-dependent perturbation (or mutations) function, may e

Towards a seamless integration between process modeling descriptions at Business and Production levels - work in progress

To fulfill increasing requirements in the manufacturing sector, companies are faced to several challenges. Three major challenges have been identified regarding time-to-market, vertical feedback loops and level of automation. Grafchart, a graphical language aimed for supervisory control applications, can be used from the process-planning phase, through the implementation phase and all the way to t

Fast and Robust Numerical Solutions to Minimal Problems for Cameras with Radial Distortion

A number of minimal problems of structure from motion for cameras with radial distortion have recently been studied and solved in some cases. These problems are known to be numerically very challenging and in several cases there were no practical algorithms yielding solutions in floating point arithmetic. We make some crucial observations concerning the floating point implementation of Gröbner bas

Variation Factors in the Design and Analysis of Replicated Controlled Experiments - Three (Dis)similar Studies on Inspections versus Unit Testing

Background. In formal experiments on software engineering, the number of factors that may impact an outcome is very high. Some factors are controlled and change by design, while others are are either unforeseen or due to chance. Aims. This paper aims to explore how context factors change in a series of for- mal experiments and to identify implications for experimentation and replication practices

A Wide Bandwidth Fractional-N Synthesizer for LTE with Phase Noise Cancellation Using a Hybrid- -DAC and Charge Re-timing

This paper presents a 1MHz bandwidth, ΔƩ fractional-N PLL as the frequency synthesizer for LTE. A noise cancellation path composed of a novel hybrid ΔƩ DAC with 9 output bits is incorporated into the PLL in order to cancel the out-of-band phase noise caused by the quantization error. Further, a re-timing circuit is proposed to reduce the nonlinearity in the Charge Pump and provide pulse shaping si

Multi-scale discrete approximation of Fourier integral operators

Abstract in UndeterminedWe develop a discretization and computational procedures for approximation of the action of Fourier integral operators the canonical relations of which are graphs. Such operators appear, for instance, in the formulation of imaging and inverse scattering of seismic reflection data. Our discretization and algorithms are based on a multiscale low-rank expansion of the action o