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检索条件"任意字段=7th International Conference on Functional Programming"

共 3597 条记录，以下是791-800 订阅

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Unifying Modeling and programming with Valkyrie 7th

Unifying Modeling and Programming with Valkyrie

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7th international conference on Model-Driven Engineering and Software Development (MODELSWARD)

作者： Schroepfer, Johannes Buchmann, thomas Univ Bayreuth Chair Appl Comp Sci 1 Univ Str 30 D-95440 Bayreuth Germany

ISBN: (纸本)9789897583582

Raising the level of abstraction when developing a software system is the driving force behind Model-driven software development (MDSD) - a software engineering paradigm which gained more and more attention during the last decade. the current state of the art in MDSD allows software engineers to capture the static structure in a model, e.g., by using class diagrams provided by the Unified Modeling Language (UML), and to generate source code from it. Furthermore, when it comes to expressing the behavior, i.e., method bodies, the UML offers a set of diagrams which may be used for this purpose. Unfortunately, not all UML diagrams come with a precisely defined execution semantics and thus, code generation is hindered. Recently, the OMG issued the standard for an Action Language for Foundational UML (ALF) which allows for textual modeling of software system and which provides a precise execution semantics. In this paper, a tight integration between our UML-based CASE tool and our ALF tool is presented. the resulting tool chain allows to express structure and behavior of a software system on the model level and to generate fully executable Java source code.

关键词： Model-driven Development UML ALF Code Generation Agile Development Model Transformations Behavioral Models

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Application of Linear programming in Optimizing the Allocation of Agents in a 3-shift 24x7 eCustomer Service Operation

Application of Linear Programming in Optimizing the Allocati...

引用

international conference on Frontiers of Industrial Engineering (ICFIE)

作者： Krishah Ronacel Dl. Bilbao Lance Albert S. De Leon Jeric James G. Pido Michael N. Young School of Industrial Engineering and Engineering Management Mapúa University Intramuros Manila

ISBN: (数字)9781728106342

ISBN: (纸本)9781728194509

this paper highlights the Application of Linear programming in determining the optimized allocation. the Focus of this study is maximizing the efficiency of the eCustomer Care Service for the year 2019 by determining the number of agents to be allocated on every shift and every channel of transaction to improve the resolution rate. the research employed Operations Research techniques in constructing Linear programming Model. As a result of the study, the agents were allocated based on the number of receive cases and the resolve cases in each shift and improved the company productivity rate.

关键词： Companies Social networking (online) Resource management Blogs Productivity Stress Computer aided software engineering

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Extension Support Vector Machine for Extension Classification 7

Extension Support Vector Machine for Extension Classificatio...

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7th international conference on Information Technology and Quantitative Management (ITQM) - Information Technology and Quantitative Management Based on Artificial Intelligence

作者： Tang, Long Lu, Xuanbin Yang, Chunyan Li, Xingsen Guangdong Univ Technol Res Inst Exten & Innovat Method Guangzhou 510006 Peoples R China

Support vector machine (SVM) method has been successfully applied to classification, in which a classifying rule between features and class is pursued. Sometimes, a specific transformation can influence the feature values of an example, according to the classifying rule, further leading to a possible change of its corresponding class. How to apply such examples to obtain knowledge about the transformation is a new issue, called extension classification (EC). In this paper, an extension support vector machine (ESVM) is developed, in which a mathematic model involving a series of sub-models between feature values of the examples before and after transformation is considered. Dependent function is established to replace the classifying rule. Based on dependent function, nonlinear constraints are requested to ensure the reasonability of the model, in which sub-models are coupled with each other. By introducing the concept of dependent radius, each original constraint is decoupled into several linear sub-constraints so that each sub-model can be established independently. For each sub-model, a non-convex example-dependence loss function is proposed and concave-convex programming (CCCP) procedure is suggested to process the non-convexity. Experimental results on two cases confirm the effectiveness of the ESVM. (C) 2020 the Authors. Published by Elsevier B.V. this is an open access article under the CC BY-NC-ND license (http://***/licenses/by-ne-nd/4.0/) Peer-review under responsibility of the scientific committee of the 7th international conference on Information Technology and Quantitative Management (ITQM 2019)

关键词： Extension classification Extension support vector machine Dependent function Concave-convex programming procedure

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Teaching and learning strategies of programming for university courses 19

Teaching and learning strategies of programming for universi...

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7th international conference on Technological Ecosystems for Enhancing Multiculturality (TEEM)

作者： Figueiredo, Jose Jose Garcia-Penalvo, Francisco Polytech Guarda Res Unit Inland Dev Guarda Portugal Univ Salamanca Res Inst Educ Sci GRIAL Res Grp Comp Sci Dept Salamanca Spain

ISBN: (纸本)9781450371919

It is consensual to consider teaching and learning programming difficult. A lot of work, dedication, and motivation are required for teachers and students. Since the first programming languages have emerged, the problem of teaching and learning programming is studied and investigated. the theme is very serious, not only for the important concepts underlying the course but also for the lack of motivation, failure, and abandonment that such frustration may imply in the student. Immediate response and constant monitoring of students' activities and problems are important. With this work, it is our goal to improve student achievement in courses where programming is essential. We want each student to be able to improve and deepen their programming skills, performing a set of exercises appropriate and worked for each student and situation. We intend to build a dynamic learning model of constant evaluation, build the profile of the student. the student profile will be analyzed by our predictive model, which in case of prediction of failure, the student will have more careful attention. Predict the student's failure with anticipation and act with specific activities, giving the student the possibility of training and practicing the activities with difficulties. With this model, we try to improve the skills of each student in programming.

关键词： programming teaching programming learning programming CS0 CS1 datasets neural networks

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An Appointment Scheduling Optimization Method in Healthcare with Simulation Approach

An Appointment Scheduling Optimization Method in Healthcare ...

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international conference on Industrial Engineering and Applications (ICIEA)

作者： Ali Ala Feng Chen Shanghai Jiao Tong University Shanghai China Sino-Us Global Logistics Institute Antai College of Economy and Management Shanghai Jiao Tong University Shanghai China

ISBN: (数字)9781728167855

ISBN: (纸本)9781728167862

this paper presents a new mathematic model proposed to optimized appointment scheduling problems in healthcare. We actually introduced an Integer programming model with a Tabu search approach while add a simulation model addressed in Appointment Scheduling (AS) healthcare operating system for the assessment in an emergency center of various patient flow control and timing scenarios to obtain minimum patient waiting time and patient satisfaction during their treatment in hospital.

关键词： Mathematical model Hospitals Job shop scheduling Surgery Linear programming Drugs

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Exact and Heuristic Solutions to the Connected k-Partitioning Problem

Exact and Heuristic Solutions to the Connected k-Partitionin...

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international conference on Control, Decision and Information Technologies (CoDIT)

作者： Patrick Healy Pierre Laroche Franc Marchetti Sébastien Martin Zsuzsanna Róka University of Limerick Limerick Ireland Laboratoire de Conception LCOMS EA 7306 Université de Lorraine Metz FRANCE

ISBN: (数字)9781728159539

ISBN: (纸本)9781728159546

We study the problem of partitioning a graph into k connected components, which may also be referred to as the maximum k-cutset problem. Firstly, we present an exact algorithm and a variant, both implemented as integer linear programming (ILP) models. We then present a heuristic approach that will be seen to be extremely competitive with the exact algorithm for the ranges of graph under consideration.

关键词： Approximation algorithms Vegetation Partitioning algorithms Forestry Linear programming Information technology Heuristic algorithms

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Peak ground velocity attenuation relationships using genetic programming 7th

Peak ground velocity attenuation relationships using genetic...

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7th international conference on Earthquake Geotechnical Engineering, ICEGE 2019

作者： Kermani, E. Barzegari, S. Jafarian, Y. Baziar, M.H. The Pennsylvania State University United States International Institute of Earthquake Engineering and Seismology Tehran Iran Iran University of Science and Technology Tehran Iran

ISBN: (纸本)9780367143282

Peak Ground Velocity (PGV) is one of the most important ground motion parameters that has been widely used as a damage potential indicator, as well as in seismic design of structures and assessment of buried pipelines and liquefaction potential analysis. therefore, estimating a precise value for this parameter is of great importance. In this paper, Genetic programming (GP), a well-known Artificial Intelligence method is utilized to develop an attenuation relationship for PGV based on the strong ground motion database released by Pacific Earthquake Engineering Research center (PEER). Different PGV attenuation relationships are proposed for strike-slip, normal, and reverse faulting mechanisms as functions of earthquake magnitude, source to site distance, and local site geotechnical condition. the values of coefficient of determination, root mean square error and mean absolute error are calculated for the developed PGV attenuation relationships and reveal the accuracy of proposed model. Results of the parametric study demonstrate that PGV is higher for larger earthquake magnitudes while it is lower for sites which are located farther from the source and have lower shear wave velocities. © 2019 Associazione Geotecnica Italiana, Rome, Italy.

关键词： Seismic design

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Proceedings of the 7th international conference on Computer and Communications Management, ICCCM 2019

Proceedings of the 7th International Conference on Computer ...

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7th international conference on Computer and Communications Management, ICCCM 2019

ISBN: (纸本)9781450371957

the proceedings contain 48 papers. the topics discussed include: pancasila, ethos respect, and anti-hoaxes on Internet-based social media;building a biomedical ontology for respiratory tract infection;agile solution of color image encryption using random permutation algorithm;physical property analysis of sweet potatoes using computer vision;movie genre in multi-label classification using semantic extraction from only movie poster;quadrotor stabilization and tracking using sliding mode observer and control;distributed shared memory with CAN-based prioritized mutual exclusion for embedded control systems;study on the reform of integrating project teaching method into the teaching of C programming;and model-driven approach to integrate requirements for safety-critical systems.

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Predicting Student Failure in an Introductory programming Course with Multiple Back-Propagation 19

Predicting Student Failure in an Introductory Programming Co...

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7th international conference on Technological Ecosystems for Enhancing Multiculturality (TEEM)

作者： Figueiredo, Jose Lopes, Noel Jose Gracia-Penalvo, Francisco Polytech Guarda Res Unit Inland Dev UDI Guarda Portugal Polytech Guarda UDI Guarda Portugal Univ Coimbra CISUC Coimbra Portugal Univ Salamanca Res Inst Educ Sci GRIAL Comp Sci Dept Salamanca Spain

ISBN: (纸本)9781450371919

One of the most challenging tasks in computer science and similar courses consists of both teaching and learning computer programming. Usually this requires a great deal of work, dedication, and motivation from both teachers and students. Accordingly, ever since the first programming languages emerged, the problems inherent to programming teaching and learning have been studied and investigated. the theme is very serious, not only for the important concepts underlying computer science courses but also for reducing the lack of motivation, failure, and abandonment that result from students frustration. therefore, early identification of potential problems and immediate response is a fundamental aspect to avoid student's failure and reduce dropout rates. In this paper, we propose a machine-learning (neural network) predictive model of student failure based on the student profile, which is built throughout programming classes by continuously monitoring and evaluating student activities. the resulting model allows teachers to early identify students that are more likely to fail, allowing them to devote more time to those students and try novel strategies to improve their programming skills.

关键词： datasets neural networks programming teaching programming learning programming CS0 CS1

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Orchestrating Near-Data FPGA Accelerators using Unix Pipes 7

Orchestrating Near-Data FPGA Accelerators using Unix Pipes

引用

7th international Symposium on Computing and Networking (CANDAR)

作者： Schmid, Robert Plauth, Max Wenzel, Lukas Eberhardt, Felix Polze, Andreas Univ Potsdam Hasso Plattner Inst Digital Engn Operating Syst & Middleware Grp Potsdam Germany

ISBN: (纸本)9781728152684

Near-data accelerators play an important role in satisfying the ever growing demand for compute resources. However, for an efficient integration of near-data computing resources into applications, a flexible programming model and suitable abstractions on the operating system level are required. this paper presents Metal FS, a framework that enables users and applications to orchestrate computations on a NVMe+FPGA near-data computing device through standard shell syntax, including the pipe operator. A user-space NVMe file system interface exposes the storage resources of the NVMe+FPGA accelerator. Computation pipelines expressed on the shell are mapped to pre-defined functional elements of a coarse-grained FPGA overlay, enabling data transformations to be performed in proximity to the data source. Overall, Metal FS greatly increases developer productivity for applications targeting near-data computing accelerators.

关键词： Near-Data Computing FPGA programming Model

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