Search results for " Programming"

showing 10 items of 1616 documents

The Algorithm of a Game-Based System in the Relation between an Operator and a Technical Object in Management of E-Commerce Logistics Processes with …

2021

Machine learning (ML) is applied in various logistic processes utilizing innovative techniques (e.g., the use of drones for automated delivery in e-commerce). Early challenges showed the insufficient drones’ steering capacity and cognitive gap related to the lack of theoretical foundation for controlling algorithms. The aim of this paper is to present a game-based algorithm of controlling behaviours in the relation between an operator (OP) and a technical object (TO), based on the assumption that the game is logistics-oriented and the algorithm is to support ML applied in e-commerce optimization management. Algebraic methods, including matrices, Lagrange functions, systems of differential e…

Relation (database)Computer scienceProcess (engineering)TP1-1185NotationMachine learningcomputer.software_genreBiochemistryOutcome (game theory)ArticleAnalytical ChemistryMachine LearningSet (abstract data type)Operator (computer programming)machine learning algorithms0502 economics and businessHumanse-commerceComputer SimulationElectrical and Electronic Engineeringa logistics zero-sum gameInstrumentationcomputer.programming_languagebusiness.industryChemical technology05 social sciencesCommerceBayesian networkBayes TheoremPython (programming language)Atomic and Molecular Physics and Opticsa game-based systemBayesian network050211 marketingArtificial intelligencebusinesscomputerAlgorithmAlgorithms050203 business & managementSensors
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Economic and Technical Efficiency of Drinking Water Systems: An Empirical Approach for Spain

2009

The objective of this paper is to analyze the efficiency of drinking water systems. Efficient performance, both in technical and economic terms guarantee minimum water losses in the network and reduced tariffs for the users. An analytical benchmarking methodology based on non-radial measures considering water losses as undesirable output gives us an efficiency indicator for each input used in the water supply process. These indicators, obtained by means of mathematical programming techniques, are used to rank suppliers' activity. The relation between the efficiency in the activity of the companies and the establishment of different tariffs is also analyzed. An empirical application is carry…

Relation (database)business.industryOrder (exchange)Process (engineering)Rank (computer programming)EconomicsWater supplySample (statistics)BenchmarkingEnvironmental economicsbusinessEnvironmental planning
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‘We Don’t Differentiate between Old and New Arrivals’. Research Notes on Social Capital Formation in Religious Organizations among Polish Young Migra…

2017

With more than half a million Poles living in the UK, Polish Catholic Church has become an important provider for religious and social services in the UK. In this context, a plethora of religious organizations has been developing around the Polish Parishes especially focusing on youth. Drawing on 12 participant observations and semi-structured interviews with priest, association leaders and Polish youth, this paper asks how social capital is created within religious association by the Polish youth living in the UK. The research identifies 3 types of religious organizations operating in the religious communities and which are the main types of social networks that are formed within these rel…

Religious associationAssociation (object-oriented programming)Gender studiesContext (language use)Social WelfareReligious organizationSociologySocial capitalSSRN Electronic Journal
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Risk Management Optimization for Sovereign Debt Restructuring

2015

Abstract Debt restructuring is one of the policy tools available for resolving sovereign debt crises and, while unorthodox, it is not uncommon. We propose a scenario analysis for debt sustainability and integrate it with scenario optimization for risk management in restructuring sovereign debt. The scenario dynamics of debt-to-GDP ratio are used to define a tail risk measure, termed conditional Debt-at-Risk. A multi-period stochastic programming model minimizes the expected cost of debt financing subject to risk limits. It provides an operational model to handle significant aspects of debt restructuring: it collects all debt issues in a common framework, and can include contingent claims, m…

RestructuringFinancial economicsmedia_common.quotation_subjectGeography Planning and DevelopmentRecourse debtDebt-to-GDP ratioMonetary economicsDevelopmentportfolio optimizationstochastic programmingsovereign debtSettore SECS-S/06 -Metodi Mat. dell'Economia e d. Scienze Attuariali e Finanz.Debt0502 economics and businessEconomics050207 economicsDebt levels and flowsRisk managementmedia_common050208 financebusiness.industryconditional Value-at-RiskValue-at-RiskRisk metric05 social sciencesscenario analysiGreek crisiExternal debtExpected shortfallDebt restructuringdebt restructuringInternal debtPortfolio optimizationbusinessGeneral Economics Econometrics and FinanceValue at riskSenior debtJournal of Globalization and Development
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New Directions for Use of Systemic Drug Delivery in Anti-aging Medicine

2020

Abstract Anti-aging medicine has become a popular topic in recent years. It considers biological aging a revertible process that physiologically serves no posi tive function. Different technologies in systemic delivery and various strategies that characterize and optimize the performance of systemic delivery have been covered in this book. These technologies are essential for the establishment of a technical platform for interventive biogerontology. As the last chapter of this book, we would like to highlight some directions for future applications of systemic drug delivery in anti-aging medicine. We believe that biological aging and aging-related diseases are strongly associated with genet…

Risk analysis (engineering)Process (engineering)business.industryDrug deliveryMedicineSettore MED/05 - Patologia ClinicaGenomicsPositive functionbusinessReprogrammingDevelopmental programmingAging · Anti-aging medicine · Developmental programming · Innovative interventions and recommendations
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Selecting the best risk measure in multiobjective cash management

2018

Risk analysis0209 industrial biotechnology021103 operations researchActuarial scienceComputer scienceStrategy and ManagementRisk measure0211 other engineering and technologies02 engineering and technologyManagement Science and Operations ResearchComputer Science Applications020901 industrial engineering & automationManagement of Technology and InnovationGoal programmingBusiness and International ManagementCash managementInternational Transactions in Operational Research
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Fuzzy Metric Approach to Aggregation of Risk Levels

2019

In this paper we propose a special construction of a general aggregation operator. The construction allows to aggregate fuzzy sets taking into account the distance between elements of the universe. We consider the case when fuzzy sets to be aggregated represent the risk level evaluation by several experts. We describe how the proposed construction could be applied for risk level assessment in the case when a strong fuzzy metric is used to characterize the similarity of objects under evaluation.

Risk levelTheoretical computer scienceOperator (computer programming)Similarity (network science)Computer scienceMetric (mathematics)Fuzzy setAggregate (data warehouse)Fuzzy logic
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Stochastic debt sustainability analysis for sovereigns and the scope for optimization modeling

2017

We express the opinion that sovereign debt sustainability analysis must be augmented by stochastic correlated risk factors and a risk measure to capture tail effects. Crisis situations can thus be adequately specified and analyzed with sufficient accuracy to warrant the relevance of policy decisions. In this context there is significant scope for optimization modeling for both strategic planning and operational management. We discuss diverse aspects of the problem of debt sustainability and highlight modeling approaches that can be brought to bear on the problem. Results with the fictitiuous, but nor unrealistic, Kingdom of Atlantis, which is sinking under excessive debt, illustrate the pro…

Risk managementScenariosSovereign debtSustainability analysisStochastic programmingVaRCVaR
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Determining the appropriate timing of the next forest inventory: incorporating forest owner risk preferences and the uncertainty of forest data quali…

2017

Key message The timing to conduct new forest inventories should be based on the requirements of the decision maker. Importance should be placed on the objectives of the decision maker and his/her risk preferences related to those objectives. Context The appropriate use of pertinent and available information is paramount in any decision-making process. Within forestry, a new forest inventory is typically conducted prior to creating a forest management plan. The acquisition of new forest inventory data is justified by the simple statement of “good decisions require good data.” Aims By integrating potential risk preferences, we examine the specific needs to collect new forest information. Meth…

RiskOperations researchComputer scienceProcess (engineering)Stochastic modelling[SDV]Life Sciences [q-bio]Forest management0211 other engineering and technologiesStochastic programmingEven-flow forestry02 engineering and technologyRisk neutralstochastic programmingRecourse optionssortuncertaintyriskit040101 forestry021103 operations researchForest inventoryEcologybusiness.industryEnvironmental resource managementForestry04 agricultural and veterinary sciences15. Life on landeven-flow forestryStochastic programmingData qualityrecourse options0401 agriculture forestry and fisheriesbusinessAnnals of Forest Science
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A Novel Fault-Tolerant Routing Technique for Mesh-of-Tree based Network-on-Chip Design

2018

Due to the increase in the number of processing elements in System-on-Chips (SoCs), communication between the cores is becoming complex. A solution to this issue in SoCs gave rise to a new paradigm called Network-on-Chips (NoCs). In NoCs, communication between different cores is achieved using packet based switching techniques. In the deep sub-micron technology, NoCs are more susceptible to different kinds of faults which can be transient, intermittent and permanent. These faults can occur at any component of NoCs. This paper presents a novel Fault-Tolerant Routing (FTR) technique for Mesh-of-Tree (MoT) topology in the presence of router faults. The proposed technique is compared with routi…

RouterComputer sciencebusiness.industryNetwork packet020208 electrical & electronic engineeringTopology (electrical circuits)Fault toleranceHardware_PERFORMANCEANDRELIABILITY02 engineering and technologyNetwork topology020204 information systemsHardware_INTEGRATEDCIRCUITS0202 electrical engineering electronic engineering information engineeringNode (circuits)Transient (computer programming)Routing (electronic design automation)businessComputer network
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