Search results for "computer.software_genre"
showing 10 items of 3858 documents
Agent-Based Model to Study and Quantify the Evolution Dynamics of Android Malware Infection
2014
[EN] In the last years the number of malware Apps that the users download to their devices has risen. In this paper, we propose an agentbased model to quantify the Android malware infection evolution, modeling the behavior of the users and the different markets where the users may download Apps. The model predicts the number of infected smartphones depending on the type of malware. Additionally, we will estimate the cost that the users should afford when the malware is in their devices. We will be able to analyze which part is more critical: the users, giving indiscriminate permissions to the Apps or not protecting their devices with antivirus software, or the Android platform, due to the v…
ABM of Civil Violence: ODD Description
2017
This chapter contains a description of the proposed agent-based model, using the well-known “Overview, Design Concepts and Details” protocol. The model was implemented in NetLogo and is based on the same two types of agents—citizens and law-enforcement—as in Epstein’s model, but “citizen” agents have one subtype (“activist”) used for implementing network influence effects. The salient aspects of the model description are centered on the submodels for the risk perception, the expression of hardship in terms of value-sensitive relative deprivation, endogenous legitimacy feedback and network influence effects, which provide extensions to Epstein’s model. The model includes two networks called …
E-Hitz: A word frequency list and a program for deriving psycholinguistic statistics in an agglutinative language (Basque)
2007
We describe a Windows program that enables users to obtain a broad range of statistics concerning the properties of word and nonword stimuli in an agglutinative language (Basque), including measures of word frequency (at the whole-word and lemma levels), bigram and biphone frequency, orthographic similarity, orthographic and phonological structure, and syllable-based measures. It is designed for use by researchers in psycholinguistics, particularly those concerned with recognition of isolated words and morphology. In addition to providing standard orthographic and phonological neighborhood measures, the program can be used to obtain information about other forms of orthographic similarity, …
Methods matter: Testing competing models for designing short-scale Big-Five assessments
2015
Abstract Many psychological instruments are psychometrically inadequate because derived person-parameters are unfounded and models will be rejected using established psychometric criteria. One strategy towards improving the psychometric properties is to shorten instruments. We present and compare the following procedures for the abbreviation of self-report assessments on the Trait Self-Description Inventory in a sample of 14,347 participants: (a) Maximizing reliability/main loadings, (b) Minimizing modification indices/cross loadings, (c) the PURIFY Algorithm in Tetrad, (d) Ant Colony Optimization, and (e) a genetic algorithm. Ant Colony Optimization was superior to all other methods in imp…
Session details: Distributed systems: WT - web technologies track
2018
The Web is relentlessly evolving. Once a single interconnection of static, physically distributed content passively accessed by human users through personal computers, during the explosion of Web-based social networks the Web evolved into an environment allowing users worldwide to interact and collaborate to create user-generated content within many virtual communities. In this line, Web 2.0 is the umbrella term used to encompass several developments which followed, namely social networking sites and social media sites (e.g., Facebook), blogs, wikis, folksonomies (e.g. Flickr), video sharing sites (e.g., YouTube), Web applications ("apps"), collaborative platforms, and mashup applications. …
Sequential formula translation
1983
The syntax of an algorithmic language such as ALGOL is conveniently described as a sequence of states indicated by an element called cellar. Transitions are controlled by admissible state- s ymbol pairs which may be represented by a transition matrix. This description of syntax furnishes at the same time an extremely simple rule for translating into machine programs statements in the algorithmic language. Sequential treatment, however, is not feasible in the case of certain optimizing processes such as recursive address calculation.
Structural Reforms in Banking: The Role of Trading
2017
In the wake of the recent financial crisis, significant regulatory actions have been taken aimed at limiting risks emanating from trading in bank business models. Prominent reform proposals are the Volcker Rule in the U.S., the Vickers Report in the UK, and, based on the Liikanen proposal, the Barnier proposal in the EU. A major element of these reforms is to separate "classical" commercial banking activities from securities trading activities, notably from proprietary trading. While the reforms are at different stages of implementation, there is a strong ongoing discussion on what possible economic consequences are to be expected. The goal of this paper is to look at the alternative approa…
Insider Trading and Market Behaviour Around Takeover Announcements in the Spanish Market
2002
As microstructure models assume informational asymmetries among investors, the possibility of insider trading is a sound reason for liquidity suppliers to increase the bid-ask spread. In this way, the tested effect that takeover announcements have on target firm returns becomes a strong motive for trading with insider information. In this paper we firstly investigate whether liquidity suppliers value the possibility of trading with informed agents in this sort of event. We analyse the adverse selection cost from bid-ask spread behaviour around takeover announcements. We find that liquidity suppliers enlarge adverse selection cost suggesting that they value the possibility of facing to insid…
An AmI-Based Software Architecture Enabling Evolutionary Computation in Blended Commerce: The Shopping Plan Application
2015
This work describes an approach to synergistically exploit ambient intelligence technologies, mobile devices, and evolutionary computation in order to support blended commerce or ubiquitous commerce scenarios. The work proposes a software architecture consisting of three main components: linked data for e-commerce, cloud-based services, and mobile apps. The three components implement a scenario where a shopping mall is presented as an intelligent environment in which customers use NFC capabilities of their smartphones in order to handle e-coupons produced, suggested, and consumed by the abovesaid environment. The main function of the intelligent environment is to help customers define shopp…
Multi-sensor Fusion through Adaptive Bayesian Networks
2011
Common sensory devices for measuring environmental data are typically heterogeneous, and present strict energy constraints; moreover, they are likely affected by noise, and their behavior may vary across time. Bayesian Networks constitute a suitable tool for pre-processing such data before performing more refined artificial reasoning; the approach proposed here aims at obtaining the best trade-off between performance and cost, by adapting the operating mode of the underlying sensory devices. Moreover, self-configuration of the nodes providing the evidence to the Bayesian network is carried out by means of an on-line multi-objective optimization.