Search results for "iho"
showing 10 items of 2277 documents
An Improved Detection Technique for Cyclic-Prefixed OFDM
2010
A novel Orthogonal Frequency Division Multiplexing detection technique compatible to standard (e.g. Wireless LAN) transmitters is proposed. It features enhanced error-rate performance with flexible computational complexity and robustness to imperfect channel estimation. It is based on exploitation of the redundancy available in the cyclic prefix after cancellation of interference from the preceding block. In order to show the effectiveness of our proposal, an analysis of computational complexity and a number of comparisons to the standard per-subcarrier receiver and a previously existing method in terms of error rates are reported.
A Bayesian unified framework for risk estimation and cluster identification in small area health data analysis.
2020
Many statistical models have been proposed to analyse small area disease data with the aim of describing spatial variation in disease risk. In this paper, we propose a Bayesian hierarchical model that simultaneously allows for risk estimation and cluster identification. Our model formulation assumes that there is an unknown number of risk classes and small areas are assigned to a risk class by means of independent allocation variables. Therefore, areas within each cluster are assumed to share a common risk but they may be geographically separated. The posterior distribution of the parameter representing the number of risk classes is estimated using a novel procedure that combines its prior …
Computational issues in fitting joint frailty models for recurrent events with an associated terminal event.
2020
Abstract Background and objective: Joint frailty regression models are intended for the analysis of recurrent event times in the presence of informative drop-outs. They have been proposed for clinical trials to estimate the effect of some treatment on the rate of recurrent heart failure hospitalisations in the presence of drop-outs due to cardiovascular death. Whereas a R-software-package for fitting joint frailty models is available, some technical issues have to be solved in order to use SASⓇ 1 software, which is required in the regulatory environment of clinical trials. Methods: First, we demonstrate how to solve these issues by deriving proper likelihood-decompositions, in particular fo…
Managing sensor data streams in a smart home application
2020
A challenge in developing an ambient activity recognition system for use in elder care is finding a balance between the sophistication of the system and a cost structure that fits within the budgets of public and private sector healthcare organisations. Much activity recognition research in the context of elder care is based on dense networks of sensors and advanced methods, such as supervised machine learning algorithms. This paper presents the data processing aspects of an activity recognition system based on a simpler, knowledge-based unsupervised approach, designed for a sparse network of sensors. By structuring sensor data management as a streaming system, we provide a simple programmi…
The Notion of Eikos Within Conspiracy Theories. A Rhetorical Analysis
2022
Based on the analysis of one specific conspiracy theory, this paper will explore, from the rhetorical framework, the antic concept of likelihood [eikos]. Indeed, we believe that the rhetorical approach could allow us, on a larger scale, to (re)question, in the light of contemporary challenges, the complex relationship we have with the notions of rationality and truth. More precisely, to proceed with the rhetorical analysis, we will mobilise two types of logical reasoning: first, “the logic of the pot” argument from pragmatic logic and second, the logic of amplification and poetization of discourse. This will allow us to draw some comparisons between conspiracist speeches and, respectively, …
Dynamic factorial graphical models for dynamic networks
2014
Dynamic networks models describe a growing number of important scientific processes, from cell biology and epidemiology to sociology and finance. Estimating dynamic networks from noisy time series data is a difficult task since the number of components involved in the system is very large. As a result, the number of parameters to be estimated is typically larger than the number of observations. However, a characteristic of many real life networks is that they are sparse. For example, the molec- ular structure of genes make interactions with other components a highly-structured and, therefore, a sparse process. Penalized Gaussian graphical models have been used to estimate sparse networks. H…
Money in an Estimated Business Cycle Model of the Euro Area
2006
We present maximum likelihood estimates of a small scale dynamic general equilibrium model for the Eurozone. We pay special attention to the role of money, both through its direct effect upon private agents’ decisions and as a component of the monetary policy rule. Our results can be summarized as follows. First, we find no direct effect of money upon inflation and output but money growth plays a significant role in the interest rate rule. Second, money demand shocks mainly help to forecast real balances while real shocks explain the bulk of price, output and interest rates fluctuations. Third, the estimated model predicts sensible conditional correlations among those variables both to dema…
Life-Cycle Land-Use Requirement for PV in Vietnam
2021
Over the last 15 years, photovoltaics (PV) in Vietnam has experienced development. The increased installed capacity of PV requires more land for installation sites as well as for manufacturing the plants’ component and waste treatment during the plants’ decommissioning. As a developing country, in which more than 80% of the population’s livelihood depends on agriculture, there are concerns about the competition of land for agriculture and solar development. This paper estimates the life-cycle land-use requirement for PV development in Vietnam, to provide the scientific-based evidence for policy makers on the quantity of land required, so that the land budget can be suitably allocated. The d…
Izdegšanas sindroma saistība ar stresa pārvarēšanas stratēģijām medicīnas māsām
2019
Šī bakalaura darba pētījuma mērķis ir noskaidrot, kādas saistības pastāv starp izdegšanas sindromu un stresa pārvarēšanas stratēģiju lietojumu medicīnas māsu vidū. Pētījumā piedalījās 50 medicīnas māsas no dažādām Latvijas slimnīcām ar vidējo vecumu 32,96 gadi (SD 10,99). 92% izlases bija sievietes. 72% respondenti norādīja augstākās izglītības līmeni. Pētījumā tika izmantoti trīs instrumenti: Stresa pārvarēšanas stratēģiju aptauja, Maslakas izdegšanas aptauja – Vispārīgā aptauja, Izdegšanas klīnisko apakštipu aptauja. Spīrmena korelāciju koeficientu aprēķina rezultātā tika iegūtas statistiski nozīmīgas pozitīvas sakarības starp izdegšanu un fokusēšanos uz emocijām un atbrīvošanos no tām, k…
A tailored counseling and home-based rehabilitation program to increase physical activity and improve mobility among community-dwelling older people …
2017
Physical activity (PA) decreases during hospitalization. In particular, the amount of PA engaged in by older people who are hospitalized following musculoskeletal injury is likely to be limited for months after discharge home. Given the importance of an active lifestyle for their recovery and the prevention of future adverse outcomes, there is clearly a need for interventions to increase PA. This article describes the protocol of a randomized controlled trial set up to investigate the effects of a physical activity oriented home rehabilitation program (ProPA) on PA and the restoration of mobility in community-dwelling older people. Men and women aged 60 years or older hospitalized due to a …