scholarly journals Verbal Plurality in the Romance Languages

2021 ◽  
Author(s):  
Patricia Cabredo Hofherr
Keyword(s):  
Discrete Event ◽  
Romance Languages ◽  
Discrete Events ◽  
Separate Type ◽  
Definition Of

Verbal plurality is commonly defined as a morphological means of marking event plurality on verbs. However, the definition of verbal plurality in terms of discrete event plurality hides a number of complexities. Firstly, many verbal markers that may mark discrete event multiplicities do not intrinsically mark discrete events, as they also allow durative, intensive, and attenuative readings. This suggests that discrete event multiplicity may emerge from quantity expressions that do not themselves impose discreteness. Secondly, markers of discrete event multiplicities fall into different classes. Additive markers in particular have to be treated as a separate type of event plurality, as they include presupposed and asserted events in the event plurality.

Decision making at unsignalized inner city intersections using discrete events systems

2022 ◽  
Vol 0 (0) ◽  
Author(s):  
Hannes Weinreuter ◽  
Balázs Szigeti ◽  
Nadine-Rebecca Strelau ◽  
Barbara Deml ◽  
Michael Heizmann
Keyword(s):  
Inner City ◽  
Road Safety ◽  
Autonomous Vehicles ◽  
Discrete Event ◽  
Autonomous Driving ◽  
Simulation Environment ◽  
Discrete Events ◽  
Real World Data ◽  
Event System ◽  
Discrete Events Systems

Abstract Autonomous driving is a promising technology to, among many aspects, improve road safety. There are however several scenarios that are challenging for autonomous vehicles. One of these are unsignalized junctions. There exist scenarios in which there is no clear regulation as to is allowed to drive first. Instead, communication and cooperation are necessary to solve such scenarios. This is especially challenging when interacting with human drivers. In this work we focus on unsignalized T-intersections. For that scenario we propose a discrete event system (DES) that is able to solve the cooperation with human drivers at a T-intersection with limited visibility and no direct communication. The algorithm is validated in a simulation environment, and the parameters for the algorithm are based on an analysis of typical human behavior at intersections using real-world data.

Software for Queueing Analysis

2018 ◽  
pp. 255-291
Keyword(s):  
Queueing Networks ◽  
Discrete Event ◽  
Queueing Network ◽  
Queueing Analysis ◽  
Discrete Events ◽  
Technical Literature ◽  
Event Simulation ◽  
Statistical Program ◽  
Service Times ◽  
Waiting Lines

Chapter 8 gives a brief discussion of computer simulation for discrete events. The chapter lists software programs in the technical literature that outline programs for the simulation of discrete events, both of commercial origin and free programs. In addition to the lists submitted, the authors present specialized packages for analysis and simulation of waiting lines in the R language. Statistical considerations are presented, which must be taken into account when obtaining data from simulations in situations of waiting lines. Chapter 8 presents three packages of the statistical program R: the “queueing” analysis package provides versatile tools for analysis of birth- and death-based Markovian queueing models and single and multiclass product-form queueing networks; “simmer” package is a process-oriented and trajectory-based discrete-event simulation (DES) package for R; and, the purpose of the “queuecomputer” package is to calculate, deterministically, the outputs of a queueing network, given the arrival and service times of all the customers. It also uses simulation for the implementation of a method for the calculation of queues with arbitrary arrival and service times. For each theme, the authors show the use of the packages in R.

Optimal Charging Management of Microgrid-Integrated Electric Vehicles

2022 ◽  
pp. 133-155
Author(s):  
Giulio Ferro ◽  
Riccardo Minciardi ◽  
Luca Parodi ◽  
Michela Robba
Keyword(s):  
Electric Vehicles ◽  
Discrete Event ◽  
Time Discretization ◽  
Small Time ◽  
Storage Element ◽  
Charging Station ◽  
Decision Variables ◽  
Discretization Step ◽  
Definition Of ◽  
The Cost

The relevance of electric vehicles (EVs) is increasing along with the relative issues. The definition of smart policies for scheduling the EVs charging process represents one of the most important problems. A discrete-event approach is proposed for the optimal scheduling of EVs in microgrids. This choice is due to the necessity of limiting the number of the decision variables, which rapidly grows when a small-time discretization step is chosen. The considered optimization problem regards the charging of a series of vehicles in a microgrid characterized by renewable energy source, a storage element, the connection to the main grid, and a charging station. The objective function to be minimized results from the weighted sum of the cost for purchasing energy from the external grid, the weighted tardiness of the services provided, and a cost related to the occupancy of the socket. The approach is tested on a real case study.

The Application of Computer Simulation Technology in the Queuing System Optimization

2014 ◽  
Vol 556-562 ◽  
pp. 3849-3851
Author(s):  
Rong Hua Tan
Keyword(s):  
Computer Simulation ◽  
Queuing Theory ◽  
Optimization Problem ◽  
Classical Model ◽  
Discrete Event ◽  
System Optimization ◽  
Discrete Event System ◽  
Queuing System ◽  
Event System ◽  
Definition Of

The optimization Problem of queuing system is an important research subject in the queuing system.There are two ways to solve this problem:one is the traditional theoretical analysis, the other is the application of computer simulation. This thesis introduces the queuing theory and the simulation technique of discrete event system, including fundamental conceptions, methods, performance index and classical model of queuing system, as well as the definition of simulation and the procedure of the simulation of discrete event system. And procedure and parameters set of general modeling methods are analyzed.

scholarly journals Modelling Dynamics of a Log-Yard through Discrete-Event Mathematics

Forests ◽  
2020 ◽  
Vol 11 (2) ◽  
pp. 155 ◽  
Author(s):  
Kalvis Kons ◽  
Pedro La Hera ◽  
Dan Bergström
Keyword(s):  
Model Calibration ◽  
Discrete Event ◽  
Pulp Mill ◽  
Discrete Events ◽  
Process Data ◽  
Sequence Of Events ◽  
Machine Operators ◽  
Calibration Techniques ◽  
Machine Operator ◽  
Two Alternatives

This article deals with the topic of modelling the log-yard of one of our industry partners. To this end, our framework is based on discrete-events modelling (DEM), as consequence that many stages of the process run as a sequence of events. The sequence starts when trucks, trains or ships arrive loaded with logs to the log-yard. A machine unloads these logs and accumulates them in different storage areas. Consequently, a machine transports logs from these areas to the pulp mill, thus finishing the process. As using probability density functions is the core concept of DEM, the necessary process data to build these PDFs have been partly provided by the company. Other necessary data have been acquired through time studies, and by defining operational requirements. The company data tell when trucks, trains, or ships arrive to the log-yard, and the amount of volume they carry. The objective is to develop the necessary formulations, model calibration techniques, and software, such that computer simulations reproduce the quantities observed in these data. To this end, this work suggests two alternatives to analyse the data itself. These two alternatives lead to two different models: (1) The first being a hybrid model, in the sense that it involves the events in the process, and the logic decisions taken by machine operators for handling the incoming load, and (2) the second containing only the main mathematical essence of the process. After running 100 simulations, both mathematical models show that the simulated values for input and output, in terms of transport units and their volume, differ only by less than 3% compared to company data. The first model has also shown the ability to replicate the decision making that a machine operator undergoes for driving the logs to the storage areas, and from there to the mill. Therefore, the framework adopted provides the necessary mathematical tools and data analysis to model the log-yard and obtain highly reliable results via simulations.

scholarly journals Proposal for Medical Data Transmission in Healthcare Systems

2020 ◽  
Vol 4 (3) ◽  
pp. 580-580
Author(s):  
Reinaldo Padilha França
Keyword(s):  
Positive Impact ◽  
Signal Transmission ◽  
Discrete Event ◽  
Healthcare Systems ◽  
Background Information ◽  
Generation Process ◽  
Discrete Events ◽  
Computational Performance ◽  
System Memory ◽  
Waiting Periods

Background: Information systems used in hospitals are slow and consume a lot of system memory, facilitating crashes, impacting patients seeking consultation face long waiting periods by a medical specialist; Still considering that exchange patient data and medical consultations in system interconnected between hospitals, for scheduling of consultations may become even more latent.Methods: Aiming to solve such problems, the present study implements modeling with discrete-event technology applied to a healthcare system, modulating the signal transmitted with the DQPSK format, through the simulation environment, the Simulink of the MATLAB software, improving the transmission of data, through a pre-coding process of bits adopting discrete events in the signal before modulation.Results: This study aims to increase the information capacity for healthcare systems, bringing a new approach for signal transmission, undertaken in the discrete domain employing the discrete entities in the bit generation process, this use being the differential applied on the bit itself, in the physical layer, showing better computational performance regarding memory utilization related to compression of information, showing an improvement of 101.52%.Conclusion: The proposal developed has the properties of improving the capacity of hospital services and can increase the performance of the communication between all medical devices, this positive impact is the result that the data stream will consume fewer communication resources.

The Latin third stem and its survival in Romance

2018 ◽  
Author(s):  
Martin Maiden
Keyword(s):  
Romance Languages ◽  
Past Participle ◽  
The Third ◽  
The Past ◽  
Word Forms ◽  
History Of ◽  
Definition Of

The implications of Aronoff’s classic example of a morphome—the Latin third stem—for the history of the Romance languages are considered; the third stem is shown to persist in Romance in the form of the past participle (also, in Romanian, in the supine) and to display truly ‘morphomic’ properties in diachrony. Some criticisms of the morphomic status of the third stem in Latin are reviewed. The significance of apparent counterexamples in Portuguese and elsewhere is considered. The diachronic data disclose a probably crucial distinction between derivational and inflexional domains in the definition of morphomic patterns. Such patterns reveal themselves as robust only within inflexional morphology, and it is suggested that perfect lexical identity between alternating word forms is crucial to the existence and persistence of morphomic patterns.

Methodologies and Approaches in Discrete Event Simulation

2008 ◽  
pp. 1-35
Author(s):  
Evon M. O. Abu-Taieh ◽  
Asim Abdel Rahman El Sheikh
Keyword(s):  
Discrete Event ◽  
Activity Cycle ◽  
Scale Model ◽  
Discrete Events ◽  
Web Based ◽  
Event Simulation ◽  
Modeling Approaches ◽  
Continuous Models ◽  
Systems Simulation ◽  
Cycle Diagram

This chapter aims to give a comprehensive explanatory platform of simulation background. As this chapter comprises of four sections, it reviews simulation definitions, forms of models, the need for simulation, simulation approaches and modeling notations. Simulation definition is essential in order to set research boundaries. Moreover, the chapter discusses forms of models: scale model of the real system, or discrete and continuous models. Subsequently, the chapter states documentation of several reasons by different authors pertaining to the question of “why simulate?,” followed by a thorough discussion of modeling approaches in respect to general considerations. Simulation modeling approaches are discussed with special emphasis on the discrete events type only: process-interaction, event scheduling, and activity scanning, yet, a slight comparison is made between the different approaches. Furthermore, the chapter discusses modeling notations activity cycle diagram (ACD) with different versions of the ACD. Furthermore, the chapter discusses petri nets, which handle concurrent discrete events dynamic systems simulation. In addition, Monte Carlo simulation is discussed due to its important applications. Finally, the fourth section of this chapter reviews Web-based simulation, along with all three different types of object-oriented simulation and modeling.

Modern motor milestones

PEDIATRICS ◽  
1978 ◽  
Vol 62 (6) ◽  
pp. 1037-1038
Author(s):  
Lawrence R. Berger
Keyword(s):  
Child Development ◽  
Discrete Event ◽  
Discrete Events ◽  
Affluent Society ◽  
Motor Milestone

In child development circles, a motor milestone is a discrete event in a person's progressive mastery of control over the body's movements. To most parents, each milestone-sitting up without support, grasping a raisin between thumb and forefinger, holding a cup, taking the first step all by herself—is a joyous occasion in their child's life. Children of the seventies, however, exhibit a new set of motor milestones made possible by our affluent society. None of these is cause for celebration. The modern milestones are discrete events marking the child's progressive involvement with engine-driven vehicles. As early as 4 years of age, children may ride their first minibike.

Lower Memory Consumption for Data Transmission in Smart Cloud Environments With CBEDE Methodology

2020 ◽  
pp. 216-237
Author(s):  
Reinaldo Padilha França ◽  
Yuzo Iano ◽  
Ana Carolina Borges Monteiro ◽  
Rangel Arthur
Keyword(s):  
Data Transmission ◽  
Discrete Event ◽  
Discrete Events ◽  
Memory Consumption ◽  
Digital Platforms ◽  
Computational Performance ◽  
Consumer Benefits ◽  
Cloud Environments ◽  
Memory Utilization

Smart telecoms will deliver lasting improvements to business productivity and enduring consumer benefits that raise the quality of life by enabling telecommuting, telemedicine, entertainment, access to e-government, and a wealth of other online services. And we'll need next-generation digital platforms on which telecom providers can create and deliver all kinds of services. Therefore, this chapter develops a method of data transmission based on discrete event concepts. This methodology was named CBEDE. Using the MATLAB software, the memory consumption of the proposed methodology was evaluated, presenting the great potential to intermediate users and computer systems, ensuring speed, low memory consumption, and reliability. With the differential of this research, the use of discrete events applied in the physical layer of a transmission medium, the bit itself, being this to low-level of abstraction, the results show better computational performance related to memory utilization, showing an improvement of up to 79.89%.

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