Search results for "Data"
showing 10 items of 12992 documents
Eksperimenti ar topoloģisko datu analīzi
2022
Maģistra darba mērķis ir iepazīstināt ar topoloģisko datu analīzi, kas ir pieeja datu kopu analīzei, izmantojot topoloģijas, kā matemātikas novirziena, metodes. Šī inovatīvā datu analīzes metode pasaulē pēdējos gados strauji attīstās un ar vien plašāk tiek pielietota, lai iegūtu informāciju no sarežģītiem, liela apjoma, daudzdimensionāliem datiem. Pašreiz nekur nav atrodams topoloģiskās datu analīzes apraksts un pielietojamība, latviešu valodā. Darbā tiek apskatīti divi dažādi uz topoloģiskās datu analīzes balstīti algoritmi - Mapper un ToMATo, kuru veiksmīgā izmantošanā noteicošais ir pareizu parametru izvēle. Darbā tiek pētītas un piedāvātas šo algoritmu parametru optimizācijas metodes un…
Anonymization as homeomorphic data space transformation for privacy-preserving deep learning
2021
Industry 4.0 is largely data-driven nowadays. Owners of the data, on the one hand, want to get added value from the data by using remote artificial intelligence tools as services, on the other hand, they concern on privacy of their data within external premises. Ideal solution for this challenge would be such anonymization of the data, which makes the data safe in remote servers and, at the same time, leaves the opportunity for the machine learning algorithms to capture useful patterns from the data. In this paper, we take the problem of supervised machine learning with deep feedforward neural nets and provide an anonymization algorithm (based on the homeomorphic data space transformation),…
Clean Agent Selection Approached by Fuzzy TOPSIS Decision-Making Method
2008
Abstract. It is well known that halons are ozone-depleting substances and their release into the atmosphere has contributed in the last decades to the reduction in the ozone layer. In consequence to the Montreal Protocol, an international agreement designed to gradually eliminate the use of such substances, fire protection industry researchers faced the challenge of finding effective solutions to replace halon extinguishers. This research aims to provide a method to support the decision maker in the selection of the most suitable extinguisher substance for a specific application. According to such framework, a set of quantitative and qualitative criteria has been established in the decision…
First identification of rotational band structures in Re-166(75)91
2015
Excited states in the odd-odd, highly neutron-deficient nucleus 166Re have been investigated via the 92Mo(78Kr, 3p1n) 166Re reaction. Prompt γ rays were detected by the JUROGAM II γ -ray spectrometer, and the recoiling fusion-evaporation products were separated by the recoil ion transport unit (RITU) gas-filled recoil separator and implanted into the Gamma Recoil Electron Alpha Tagging spectrometer located at the RITU focal plane. The tagging and coincidence techniques were applied to identify the γ -ray transitions in 166Re, revealing two collective, strongly coupled rotational structures, for the first time. The more strongly populated band structure is assigned to the πh11/2[514]9/2− ⊗ ν…
Measuring tourist satisfaction and dissatisfaction: adaptation of the 4Q methodology to the case of web based data
2019
Tourist satisfaction has been studied so far using many different theoretical approaches and measurement models. In doing that, scholars have considered satisfaction and dissatisfaction either as two extremes on a single continuum or two distinct conceptual dimensions, i.e. tourist satisfaction (TS) and tourist dissatisfaction (TD) (Alegre and Garau, 2010). In line with the latter approach, known as dual approach, the 4Q is a methodology which permits to measure TS and TD through the administration of just four open-ended questions to tourists (Oliveri et al., 2018). The main feature of the 4Q methodology is that data regarding dozens of TS and TD elementary indicators can be drawn from the…
Smart Wireless Sensor Networks and Biometric Authentication for Real Time Traffic Light Junctions Management
2013
The main challenge of intelligent transportation systems (ITS) is to deal with ‘real-time’ information to improve vehicular traffic management. Road data can be processed and used for dynamic traffic light management in order to reduce waiting times in queues. This paper proposes an innovative distributed architecture based on a wireless sensor network (WSN) with a network coordinator providing remote and ubiquitous authentication module for managing unexpected events. The architecture is completed by a dynamic module for street priority management depending on traffic rate. Many experimental trials have been carried out considering three different levels of traffic intensity to prove the e…
Using Corpus Linguistics as a research and training tool for Public Service Interpreting (PSI) in the legal sector
2017
Public Service Translation has for long been the ‘forgotten voice’ in PSI studies but it is arguably a valuable linguistic support for legal institutions and for training interpreters in the legal sector. Given that interpreters in the legal system in Italy often tend to ‘double-up’ as legal translators (to make a living) the line between the two is often hazy. Hybrid modalities like sight translation of legal and administrative documents is also a ‘borderline’ feature of these intertwined professions. The main aim of this paper is to describe how parallel and monolingual corpora can be used to train public service interpreters in double roles (translators, interpreters), namely by using co…
Minimizing fleet operating costs for a container transportation company
2006
Abstract This paper focuses on a fleet management problem that arises in container trucking industry. From the container transportation company perspective, the present and future operating costs to minimize can be divided in three components: the routing costs, the resource (i.e., driver and truck) assignment costs and the container repositioning costs (i.e., the costs of restoring a given container fleet distribution over the serviced territory, as requested by the shippers that own the containers). This real-world problem has been modeled as an integer programming problem. The proposed solution approach is based on the decomposition of this problem in three simpler sub-problems associate…
The nexus between big data and sustainability: an analysis of current trends and developments
2021
[EN] With the development of technological innovations, Big Data is transforming the socioeconomic world, impacting almost every organization and person. The transformations associated with the development of Big Data have important consequences for the sustainability of organizations, regions, and the society as a whole, and as such, they have been specifically addressed by the academic literature focusing on sustainability. Despite its importance, and perhaps because of its rapid emergence, there is a lack of studies dealing with the analysis of this body of literature and its trends. The current research attempts to fill this gap. The study develops a bibliometric and visualization analy…
Is personality related to permanent earnings? Evidence using a twin design
2018
Using twin survey combined with register-based panel data on labor market outcomes, the authors examine the association between personality characteristics and long-term earnings among prime working-age individuals. The long-term earnings were measured over the 1990–2008 period. The sample contains 4,642 twin pairs, of which 53% are females. In contrast to previous studies, this paper uses the within-twin dimension of the data to control for shared family background and confounding genetic factors. The results suggest that unobserved genetic differences may introduce omitted variable bias in standard ordinary least square results. After controlling for shared environment and genetic backgro…