Search results for "pOR"

showing 10 items of 32221 documents

Wastewater treatment: New insight provided by interactive multiobjective optimization

2011

In this paper, we describe a new interactive tool developed for wastewater treatment plant design. The tool is aimed at supporting the designer in designing new wastewater treatment plants as well as optimizing the performance of already available plants. The idea is to utilize interactive multiobjective optimization which enables the designer to consider the design with respect to several conflicting evaluation criteria simultaneously. This is more important than ever because the requirements for wastewater treatment plants are getting tighter and tighter from both environmental and economical reasons. By combining a process simulator to simulate wastewater treatment and an interactive mul…

ta113Decision support systemInformation Systems and ManagementOperations researchProcess (engineering)business.industrySoftware developmentMulti-objective optimizationManufacturing engineeringManagement Information SystemsSimulation-based optimizationArts and Humanities (miscellaneous)WastewaterDevelopmental and Educational PsychologyDesign processbusinessEngineering design processInformation SystemsDecision Support Systems
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E-NAUTILUS: A decision support system for complex multiobjective optimization problems based on the NAUTILUS method

2015

Interactive multiobjective optimization methods cannot necessarily be easily used when (industrial) multiobjective optimization problems are involved. There are at least two important factors to be considered with any interactive method: computationally expensive functions and aspects of human behavior. In this paper, we propose a method based on the existing NAUTILUS method and call it the Enhanced NAUTILUS (E-NAUTILUS) method. This method borrows the motivation of NAUTILUS along with the human aspects related to avoiding trading-off and anchoring bias and extends its applicability for computationally expensive multiobjective optimization problems. In the E-NAUTILUS method, a set of Pareto…

ta113Decision support systemMathematical optimizationInformation Systems and ManagementOptimization problemMultiple criteria optimizationGeneral Computer ScienceComputer sciencePareto principleTrading-offManagement Science and Operations ResearchSpace (commercial competition)Multiple objective programmingMulti-objective optimizationIndustrial and Manufacturing EngineeringSet (abstract data type)Modeling and SimulationPoint (geometry)Computational costInteractive methodsEuropean Journal of Operational Research
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Dependency on un-captured GDP as a source of resilience beyond economic value in countries with advanced ICT infrastructure: Similarities and dispari…

2015

Abstract The majority of countries with advanced information and communication technology (ICT) infrastructure have been experiencing extended stagnation due to an “embedded” trap in ICT advancement. However, certain countries have been able to sustain a high level of ICT- driven global competitiveness. This suggests that in these contexts there is resilience beyond economic value. Finland and Singapore can be considered countries of resilience with respect to ICT-driven global competitiveness because of their continued GDP growth despite the recession. While both countries share significant similarities including institutional strength in ICT, they demonstrate noteworthy disparities in the…

ta113Economic efficiencyGovernmentEconomic growthta511Index (economics)Sociology and Political Sciencemedia_common.quotation_subjectGrowth or happinessHuman Factors and ErgonomicsUn-captured GDPRecessionEducationTrap in ICT advancementResilience beyond economic valueInformation and Communications TechnologyDevelopment economicsValue (economics)Finland and Singapore as world ICT leaderHappinessEconomicsPsychological resilienceBusiness and International Managementta512media_commonTechnology in Society
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A modelling framework for social media monitoring

2013

This paper describes a hierarchical, three-level modelling framework for monitoring social media. Immediate social reality is modelled through the first level of the models. They represent various virtual communities at social media sites and adhere to the social world models of the sites, i.e., the "site ontologies". The second-level model is a temporal multirelational graph that captures the static and dynamic properties of the first-level models from the perspective of the monitoring site. The third-level model consists of a temporal relational database scheme that models the temporal multirelational graph within the database. The models are specified and instantiated at the monitoring s…

ta113Graph databaseComputer Networks and Communicationsbusiness.industryComputer scienceRelational databaseSocial realitySchematiccomputer.software_genreTemporal databaseHardware and ArchitectureGraph (abstract data type)The InternetSocial mediaData miningbusinesscomputerInformation SystemsInternational Journal of Web Engineering and Technology
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Formal specification of open standards and the case of RSS v2.0

2014

Open standardization seems to be very popular among software developers as it makes the standard's adoption by the software engineering community easier and smoother. Formal specification methods, on the other hand, while very promising, are being adopted by protocol engineers very slowly; the industry seems to have little motivation to move into this, almost unknown, territory.In this paper the authors present the i) idea of applying formal methods (formal specification techniques) to open standards' specifications, and ii) an example of a formal specification of open standards, RSS v2.0 in particular. The authors support and provide evidence for the advantages of the open standards formal…

ta113Language Of Temporal Ordering SpecificationProgramming languageComputer scienceFormal specificationObject languageAlgebraic specificationSpecification languageRefinementcomputer.software_genreFormal methodscomputerFormal verification
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Linear fusion of interrupted reports in cooperative spectrum sensing for cognitive radio networks

2015

Interrupted reporting has recently been introduced as an effective method to increase the energy efficiency of cooperative spectrum sensing schemes in cognitive radio networks. In this paper, joint optimization of the reporting and fusion phases in a cooperative sensing with interrupted reporting is considered. This optimization aims at finding the best weights used at the fusion center to construct a linear fusion of the received interrupted reports, jointly with Bernoulli distributions governing the statistical behavior of the interruptions. The problem is formulated by using the deflection criterion and as a nonconvex quadratic program which is then solved for a suboptimal solution, in a…

ta113Mathematical optimizationFusionta213Artificial neural networkComputer sciencedecision fusioncooperative spectrum sensingBernoulli's principleCognitive radionon-ideal reporting channelscorrelationcognitive radio (CR)Quadratic programmingEfficient energy use2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)
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Assessing game experience: Heart rate variability, in-game behavior and self-report measures

2014

Assessing game experience by means of recordings of physiological reactions elicited during game play is a technique that has gained popularity in recent years in the field of digital games research. However, since physiological signals are typically linked to several psychological processes, the use of some measures such as cardiac activity or heart rate (HR) remains problematic. The goal of the present study is to investigate to what extent game logs and self-report measures of game experience have a predictive value for heart rate variability during game play. Our results showed that the accurate registration of in-game behaviors by means of game logs carries the potential of providing r…

ta113MultimediaComputer scienceComputingMilieux_PERSONALCOMPUTINGCardiac activityGame playcomputer.software_genrePredictive valuePopularitySelf-report studyHeart rate variabilityta516human activitiescomputerCognitive psychology
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Combining PCA and multiset CCA for dimension reduction when group ICA is applied to decompose naturalistic fMRI data

2015

An extension of group independent component analysis (GICA) is introduced, where multi-set canonical correlation analysis (MCCA) is combined with principal component analysis (PCA) for three-stage dimension reduction. The method is applied on naturalistic functional MRI (fMRI) images acquired during task-free continuous music listening experiment, and the results are compared with the outcome of the conventional GICA. The extended GICA resulted slightly faster ICA convergence and, more interestingly, extracted more stimulus-related components than its conventional counterpart. Therefore, we think the extension is beneficial enhancement for GICA, especially when applied to challenging fMRI d…

ta113MultisetPCAGroup (mathematics)business.industrydimension reductionSpeech recognitionDimensionality reductionPattern recognitionMusic listeningta3112naturalistic fMRIGroup independent component analysisPrincipal component analysistemporal cocatenationArtificial intelligenceCanonical correlationbusinessmultiset CCAMathematics
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Support vector machine integrated with game-theoretic approach and genetic algorithm for the detection and classification of malware

2013

Abstract. —In the modern world, a rapid growth of mali- cious software production has become one of the most signifi- cant threats to the network security. Unfortunately, wides pread signature-based anti-malware strategies can not help to de tect malware unseen previously nor deal with code obfuscation te ch- niques employed by malware designers. In our study, the prob lem of malware detection and classification is solved by applyin g a data-mining-based approach that relies on supervised mach ine- learning. Executable files are presented in the form of byte a nd opcode sequences and n-gram models are employed to extract essential features from these sequences. Feature vectors o btained are…

ta113Network securitybusiness.industryComputer scienceFeature vectorFeature extractionuhatBytecomputer.file_formatMachine learningcomputer.software_genrehaittaohjelmatSupport vector machineObfuscation (software)ComputingMethodologies_PATTERNRECOGNITIONnetworknetwork securityMalwareData miningArtificial intelligenceExecutabletietoturvabusinesscomputer2013 IEEE Globecom Workshops (GC Wkshps)
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An Information System Design Product Theory for Integrated Order, Transportation and Warehouse Management Systems

2013

Globalization, lead time reduction and cost pressures, and other factors make it nontrivial for most companies to devise and manage effective logistics services to meet client requirements. They are better off using the services of specialized third party logistics service providers. These providers compete fiercely and need to develop and improve their services continuously to gain competitive advantage. Integrating the logistics process for improving communication and coordination is the most feasible way for third party logistics providers to deal with these pressures. Yet, the extant literature provides little theoretical guidance for integrating the logistics life-cycle, including orde…

ta113Service (business)Humanitarian LogisticsProcess managementKnowledge managementbusiness.industryComputer scienceService providerCompetitive advantageOutsourcingGlobalizationInformation systemOrder processingIntegrated logistics supportbusinessLead time2013 46th Hawaii International Conference on System Sciences
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