Search results for "soft"
showing 10 items of 9809 documents
Machine Learning Models for Measuring Syntax Complexity of English Text
2019
In this paper we propose a methodology to assess the syntax complexity of a sentence representing it as sequence of parts-of-speech and comparing Recurrent Neural Networks and Support Vector Machine. We have carried out experiments in English language which are compared with previous results obtained for the Italian one.
Blends of Semiflexible Polymers: Interplay of Nematic Order and Phase Separation
2021
Mixtures of semiflexible polymers with a mismatch in either their persistence lengths or their contour lengths are studied by Density Functional Theory and Molecular Dynamics simulation. Considering lyotropic solutions under good solvent conditions, the mole fraction and pressure is systematically varied for several cases of bending stiffness κ (the normalized persistence length) and chain length N. For binary mixtures with different chain length (i.e., NA=16, NB=32 or 64) but the same stiffness, isotropic-nematic phase coexistence is studied. For mixtures with the same chain length (N=32) and large stiffness disparity (κB/κA=4.9 to 8), both isotropic-nematic and nematic-nematic unmixing oc…
Energy efficient resource allocation in heterogeneous software defined network: A reverse combinatorial auction approach
2015
In this paper, resource allocation for energy effi- ciency in heterogeneous Software Defined Network (SDN) with multiple network service providers (NSPs) is studied. The considered problem is modeled as a reverse combinatorial auction game, which takes different quality of service (QoS) requirements into account. The heterogeneous network selection associated with power allocation problem is optimized by maximizing the energy efficiency of data transmission. By exploiting the properties of fractional programming, the resulting non-convex Winner Determination Problem (WDP) is transformed into an equivalent subtractive convex optimization problem. The proposed reverse combinatorial auction ga…
Neural Classification of Compost Maturity by Means of the Self-Organising Feature Map Artificial Neural Network and Learning Vector Quantization Algo…
2019
Self-Organising Feature Map (SOFM) neural models and the Learning Vector Quantization (LVQ) algorithm were used to produce a classifier identifying the quality classes of compost, according to the degree of its maturation within a period of time recorded in digital images. Digital images of compost at different stages of maturation were taken in a laboratory. They were used to generate an SOFM neural topological map with centres of concentration of the classified cases. The radial neurons on the map were adequately labelled to represent five suggested quality classes describing the degree of maturation of the composted organic matter. This enabled the creation of a neural separator classify…
Explaining Causes Behind SQL Query Formulation Errors
2020
This Full Research Paper presents the most prominent query formulation errors in Structured Query Language (SQL), and maps these errors to their cognitive explanations. Understanding query formulation errors is a key to teaching SQL. more effectively. However, studies on what kind of errors novices struggle with are relatively scarce when compared to, for example, programming languages. Although committing errors is a crucial part in learning, some errors are relatively easy to fix, and their commonness is not necessarily an indication of their difficulty. Other errors, however, halt the learning process, and are never fixed by the query writer. Using a previously established error taxonomy…
Análisis de datos cualitativos asistido por ordenador en ciencias de la educación
2010
En el presente trabajo, queremos realizar un análisis de los principales software que se utilizan en el ámbito educativo en las investigaciones que se sitúan en el marco de la investigación cualitativa. Comenzaremos por explicar brevemente en qué consiste este metodología de investigación, para continuar presentando algunos estudios sobre nuestro tema de investigación. Concluiremos con la descripción de los software más utilizados en el análisis de datos que provienen de investigaciones cualitativas. In the present work we try to realize an analysis of principal software that they use in the educational area in the investigations (researches) that situan in the frame of the qualitative rese…
Software Complexity and Organization of Firms’ Offshoring Activities
2017
How does software complexity shape software providers’ offshoring tasks, and how do such firms organize their offshoring activity? These questions are important, since the global software development market is growing rapidly, offering new opportunities for software managers and entrepreneurs to distribute their activities geographically. Based on a multi-site case study of 12 software firms, we study connections between software complexity and the offshoring strategies selected. Our findings suggest that software firms select a variety of organizational structures for their offshoring activity, and that the selection is shaped by the complexity of the software in question. peerReviewed
A Dynamic Life-cycle Model for the Provisioning of Software Testing Services: Experiences from A Case Study in the Chinese ICT Sourcing Market
2011
ICT-enabled international sourcing of software-intensive systems and services (eSourcing) is a powerful strategy for managing businesses more effectively. China is becoming a superpower for eSourcing service provisioning, but most Chinese providers are small or medium-sized and leverage the mediated eSourcing model, delivering services to foreign ICT clients that interface with end-clients onshore. This model restricts the providers to low-value projects. This paper probes eSourcing of software testing services within the Chinese market. Testing is studied for two reasons. First, testing is one of the best ICT services, small- and medium-sized providers can provide to develop domain and tec…
Towards Process Centered Architecting for Quantum Software Systems
2022
Quantum Software Engineering (QSE) is a recent trend - focused on unifying the principles of quantum mechanics and practices of software engineering - to design, develop, validate, and evolve quantum age software systems and applications. Software architecture for quantum computing (a.k. a. quantum software architectures (QSA)) supports the design, development, and maintenance etc. phases of quantum software systems using architectural components and connectors. QSA can enable quantum software designers and developers to map the operations of Qubits to architectural components and connectors for implementing quantum software. This research aims to explore the role of QSAs by investigating (…
The state of research on software engineering competencies: A systematic mapping study
2022
Considering the critical role of software in modern societies, we face an urgent need to educate more competent software professionals. Software engineering competencies (SEC) are considered the backbone of successfully developing software products. Consequently, SEC has become a hotspot for software engineering research and practice. Although scientific literature on SEC is not lacking, to our knowledge, a comprehensive overview of the current state of SEC research is missing. To that end, we conducted an extensive and systematic review of the SEC literature. We provide an overview of the current state of research on SEC, with a particular focus on common SEC research areas. In addition to…