Search results for "Software"

TRANS-FUSIMO – A novel system for treatment support for FUS applications in moving abdominal organs

2018

Computer based treatemnt support for FUS therapy of moviving abdominal organs is essential due to great intrinsic challenges: the target moves due to breathing and may be occluded by the rib cage. In the EU project TRANS-FUSIMO we have developed a sophisticated software system that connects to a FUS transducer and an MRI. This enables physicians to conduct safe, effective and efficient ablation of tumors in the moving liver.

Accelerometry - Simple, but challenging

2017

Geostatistical computing of acoustic maps in the presence of barriers

2009

Acoustic maps are the main diagnostic tools used by authorities for addressing the growing problem of urban acoustic contamination. Geostatistics models phenomena with spatial variation, but restricted to homogeneous prediction regions. The presence of barriers such as buildings introduces discontinuities in prediction areas. In this paper we investigate how to incorporate information of a geographical nature into the process of geostatistical prediction. In addition, we study the use of a Cost-Based distance to quantify the correlation between locations.

Discriminating and simulating actions with the associative self-organising map

2015

We propose a system able to represent others’ actions as well as to internally simulate their likely continuation from a partial observation. The approach presented here is the first step towards a more ambitious goal of endowing an artificial agent with the ability to recognise and predict others’ intentions. Our approach is based on the associative self-organising map, a variant of the self-organising map capable of learning to associate its activity with different inputs over time, where inputs are processed observations of others’ actions. We have evaluated our system in two different experimental scenarios obtaining promising results: the system demonstrated an ability to learn discrim…

Uz lietotāja modeli balstīta personalizēta adaptīva e-studiju sistēma

2017

Promocijas darbs ir veltīts uz lietotāja modeli balstītas personalizētas adaptīvas e-studiju sistēmas izveides metožu izstrādei, lai veicinātu un uzlabotu e-studiju izmantošanu apmācības procesā. Darbā apskatīti adaptīvajās sistēmās iekļaujamie pamatmodeļi, īpašu uzmanību veltot lietotāja modelim un eksistējošajām adaptācijas metodēm. Balstoties uz esošo risinājumu analīzi, ir izstrādāts uz datu dzīves ilgumu bāzēts lietotāja modelis un piedāvātas trīs jaunas adaptācijā izmantojamās metodes: apmācāmo grupu veidošanas metode, kursa optimālās tēmu secības izveides metode un tēmu secības organizēšanas metode. Izstrādātais lietotāja modelis un adaptācijas metodes nodrošina iespēju katram sistēm…

PQ Metrics Implementation on Low Cost Smart Metering Platforms. A Case Study Analysis

2018

The increasing interest on the quality of the energy supplied and generated in distribution networks is raising the need of distributed power quality (PQ) measurements. To allow such capabilities with cost effective metering solutions, this paper wants to investigate the feasibility of using smart meters, already installed for energy billing, also for power quality monitoring. To this aim, an electronic board (based on STCOMET metrology device), already used in many energy meters of different countries, has been selected as case study platform. The manufacturer firmware of this board was essentially aimed at implementing energy meter metrics and power line communications functionalities. In…

Agile logic for SaaS implementation: Capitalizing on marketing automation software in a start-up

2022

The emergence of Software-as-a-Service (SaaS) has facilitated agile technology implementation that focuses on iterative adaptations via learning by doing rather than the realization of a predesigned implementation plan. This study conceptualizes such an agile approach and explicates its operationalization via a four-year qualitative case study of a business-to-business (B2B) start-up firm’s implementation of a HubSpot marketing automation (MA) SaaS. The study shows how agile implementation continuously introduces adaptations to SaaS features and organizational routines for improving their mutual fit given the organization’s goals. The study also contributes to theory by offering a novel fra…

Agile software development in theory and practice

2002

A Deep Learning Model for Automatic Sleep Scoring using Multimodality Time Series

2021

Sleep scoring is a fundamental but time-consuming process in any sleep laboratory. Automatic sleep scoring is crucial and urgent to help address the increasing unmet need for sleep research. Therefore, this paper aims to develop an end-to-end deep learning architecture using raw polysomnographic recordings to automate sleep scoring. The proposed model adopts two-dimensional convolutional neural networks (2D-CNN) to automatically learn features from multi-modality signals, together with a "squeeze and excitation" block for recalibrating channel-wise feature responses. The learnt representations are finally fed to a softmax classifier to generate predictions for each sleep stage. The model pe…

Non-commutative Ring Learning with Errors from Cyclic Algebras

2022

AbstractThe Learning with Errors (LWE) problem is the fundamental backbone of modern lattice-based cryptography, allowing one to establish cryptography on the hardness of well-studied computational problems. However, schemes based on LWE are often impractical, so Ring LWE was introduced as a form of ‘structured’ LWE, trading off a hard to quantify loss of security for an increase in efficiency by working over a well-chosen ring. Another popular variant, Module LWE, generalizes this exchange by implementing a module structure over a ring. In this work, we introduce a novel variant of LWE over cyclic algebras (CLWE) to replicate the addition of the ring structure taking LWE to Ring LWE by add…