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检索条件"机构=Dept. of Control and Computer Engineering"

共 1082 条记录，以下是41-50 订阅

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Exploring the Feasibility of Sleep Quality Evaluation with a Reduced Parameter Set 9

Exploring the Feasibility of Sleep Quality Evaluation with a...

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9th IEEE Smart World Congress, SWC 2023

作者： Guagnano, Michele Groppo, Sara Pugliese, Luigi Violante, Massimo Politecnico di Torino Dept. of Control and Computer Engineering Turin Italy

ISBN: (纸本)9798350319804

Sleep covers approximately one-third of life, providing the necessary recovery to fundamental body functions. Sleep deprivation and poor sleep quality cause several side effects in everyday life;among others, the efficiency of the immune system progressively decreases, enhancing the arise of pathologies. Therefore, the evaluation of sleep quality is crucial for providing information about personal health status. However, a uniform and robust method for the assessment of sleep quality is still missing. In this preliminary study, Obstructive Sleep Apneas (OSAs), sleep macro pattern and sleep micro pattern are identified and then combined to provide a comprehensive sleep evaluation. For this purpose, a subset of physiological variables (HR, HRV, SpO2, body movements) is derived from Polysomnography (PSG) and exploited for the development of rule-based algorithms. This reduced parameter set is selected considering further implementations on wearable off-the-shelf commercial devices. © 2023 IEEE.

关键词： ECG Hypopnea IOT Obstructive Sleep Apnea Obstructive Sleep Apnea Syndrome Sleep Sleep Macro Pattern Sleep Micro Pattern Sleep Quality Smartwatch SpO2

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An empirical assessment of polyglot-ism in GitHub 14

An empirical assessment of polyglot-ism in GitHub

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18th International Conference on Evaluation and Assessment in Software engineering, EASE 2014

作者： Tomassetti, Federico Torchiano, Marco Dept. Control and Computer Engineering Politecnico di Torino Turin Italy

ISBN: (纸本)9781450324762

In this paper we study how the language cocktails are composed. How many languages are used in each software projects, which language types are used and which languages are typically used together. Our study was done on a sample of over 15,000 projects from the largest software forge, GitHub. The results show that many languages are used in each project: 96% projects employ at least 2 languages, over 50% employ at least two programming languages. Finally, there are strong relations between different languages: hence sets of languages tend to be adopted together. Copyright 2014 ACM.

关键词： computer software

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Defining a generic OR-VNFM interface for configuring network functions 5

Defining a generic OR-VNFM interface for configuring network...

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5th European Workshop on Software-Defined Networks, EWSDN 2016

作者： Pezzolla, Davide Cerrato, Ivano Risso, Fulvio Castellano, Gabriele Politecnico di Torino Dept. of Computer and Control Engineering Torino Italy

ISBN: (纸本)9781509061464

The ETSI model defines a generic architecture to deploy and configure virtual network functions. While many efforts from both academia and industry focus on the problem of deploying those virtual network functions, little attention has been given to the interface needed to configure such applications. This paper explores the problem of dynamically configuring virtual network functions and proposes an implementation for the ETSI MANO OR-VNFM interface that supports generic network functions by exploiting a message bus and YANG models. © 2016 IEEE.

关键词： Transfer functions

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IoT Based Framework for Monitoring and controlling Movable Harbor Cranes

IoT Based Framework for Monitoring and Controlling Movable H...

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2021 International Mobile, Intelligent, and Ubiquitous Computing Conference, MIUCC 2021

作者： Awad, A.H. Saraya, M.S. Elksasy, M.S.M. Ali-Eldin, Amr M. T. Mansoura University Faculty of Engineering Computer Engineering and Control System Dept. Mansoura Egypt

ISBN: (纸本)9781665412438

The Internet of Things refers to the type of network that connects anything to the Internet on the basis of the protocols stipulated by the information sensing equipment for the exchange of information and communication in order to achieve smart recognition, positioning, tracing, monitoring and administration. Movable harbor crane (MHC) is a major part of logistics services. Logistics is the management of the flow of goods between the point of origin and the point of consumption in order to meet the requirements of customers or corporations. MHC is mainly used for the loading and unloading of ships. This paper presents recommendations and practices to be used in the future of the smart industry internet (IoSI) and explores the different applications of smart sensor networks in the movable harbor crane. The main objective of the current paper is to develop a conceptual framework for monitoring and controlling harbor movable crane using a cloud on the IoT-PLC control system. Experimental results show that the proposed system is applicable and effective. © 2021 IEEE.

关键词： Internet of things

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Adding propedeuticy dependencies to the OpenAnswer Bayesian model of peer-assessment 13

Adding propedeuticy dependencies to the OpenAnswer Bayesian ...

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13th International Conference on Information Technology Based Higher Education and Training, ITHET 2014

作者： De Marsico, Maria Sterbini, Andrea Temperini, Marco Dept. of Computer Science Sapienza University Rome Italy Dept. of Computer Control and Management Engineering Sapienza University Rome Italy

ISBN: (纸本)9781467367301

Peer-assessment can be used to evaluate the knowledge level achieved by learners, while exposing them to a significant leaning activity at the same time. Here we see an approach to semi-automatic grading of school works. It is based on peer-assessment of answers to open ended questions ('open answers'), supported by the teacher grading activity performed on a portion of the answers. The methodology we present is based on a representation of student model and answers through Bayesian networks. It supports grading in a six-values scale (the widely used 'A' to 'F' scale). The experiments we present test the possibility to model the fact that knowledge required to perform some work is preparatory to that required for a subsequent one. The experiments have been conducted using the web-based system OpenAnswer and were meant to collect datasets, to be exploited in order to evaluate the various algorithms, settings and termination conditions better to be applied in order to have a reliable set of grading out of the learners' peer-assessment process and the teacher's grading work (with the latter limited to a significantly limited percentage of the answers to be graded). © 2014 IEEE.

关键词： Bayesian networks

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A framework to support social-collaborative personalized e-learning

A framework to support social-collaborative personalized e-l...

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15th International Conference on Human-computer Interaction, HCI International 2013

作者： De Marsico, Maria Sterbini, Andrea Temperini, Marco Dept. of Computer Science Sapienza University of Rome Italy Dept. of Computer Control and Management Engineering Sapienza University of Roma Italy

ISBN: (纸本)9783642392610

We propose a comprehensive framework to support the personalization and adaptivity of courses in e-learning environments where the traditional activity of individual study is augmented by social-collaborative and group based educational activities. The framework aims to get its pedagogical significance from the Vygotskij Theory;it points out a minimal set of requirements to meet, in order to allow its implementations based on modules possibly constituted by independent e-learning software systems, all collaborating under a common interface. © 2013 Springer-Verlag.

关键词： computer aided instruction

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Assessing group composition in e-learning according to Vygotskij's zone of proximal development

Assessing group composition in e-learning according to Vygot...

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8th International Conference on Universal Access in Human-computer Interaction, UAHCI 2014 - Held as Part of 16th International Conference on Human-computer Interaction, HCI International 2014

ISBN: (纸本)9783319074399

In this paper we build on previous work exploring a formal way to assess the composition of learning groups. We start from our existing framework, designed to provide support to personalization in e-learning environments, comprising an implementation of the Vygotskij Theory of proximal development. In such theory, effective individual learning achievements can be only obtained within the boundaries of a cognitive zone where the learner can proceed without frustration, though with support from teacher and peers. In this endeavor, the individual development cannot disregard social-collaborative educational activities. Previously we gave operative definitions of the Zone of Proximal Development for both single learners and groups;here we aim at assessing the viability of a partition of students in groups over a common task. © 2014 Springer International Publishing.

关键词： computer aided instruction

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Optimality analysis of if-conversion transformation

Optimality analysis of if-conversion transformation

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24th High Performance Computing Symposium, HPC 2016, Part of the 2016 Spring Simulation Multi-Conference, SpringSim 2016

作者： Elkhouly, Reem El-Mahdy, Ahmed Elmasry, Amr Alexandria Egypt Dept. of Computer Engineering and Automatic Control Tanta University Tanta Egypt Dept. of Computer Engineering and Systems Alexandria University Alexandria Egypt

ISBN: (纸本)9781510824256

control-flow dependence has always been posited as a substantial dilemma against program acceleration. With the availability of instruction-level parallel architectures, ifconversion optimization has become pivotal for extracting parallelism from serial programs. While many if-conversion optimization heuristics have been proposed in the literature, few of them investigated the proximity to optimality paying more concern to the input program subjectively. In this paper, we study the effectiveness of the LLVM if-conversion transformation using a broad range optimality analysis technique. The whole optimization space of branch instructions within an arbitrarily selected hotspot function of a program is analyzed, tackling the best-performing combination sequence of converted or non-converted branches. In order to precisely observe the influence of selectively converted branches we magnify individual function call and study the behavior with different call circumstances and input data detecting the impact of data size and distribution. We implemented our technique on LLVM 3.6.1 compilation infrastructure and experimented on several representative kernels of the SPEC-CPU2006 vl.l benchmarks suite running on a multicore system of Intel(R) Xeon(R) 3.50GHz processors. Our findings show a performance gain up to 22.7% at the best optimization over the standard optimized code, indicating the need for more aggressive compilation optimization that is able to capture the individual characteristics of every branch. © 2016 Society for Modeling & Simulation International (SCS).

关键词： Optimization

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A framework for personalized competitive programming training 17

A framework for personalized competitive programming trainin...

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17th International Conference on Information Technology Based Higher Education and Training, ITHET 2018

作者： Di Mascio, Tania Laura, Luigi Temperini, Marco Dept. of Information Engineering Computer Science and Mathematics University of l'Aquila Italy Dept. of Computer Control and Management Engineering Sapienza University Rome Italy

ISBN: (纸本)9781538646236

Programming Contests are a special branch in the general area of training and education programming support and cover an important role in the area of computer science. Rather than the direct provision of concepts and exercises related to programming, the main concern is on the algorithms and data structures managed while composing the solution to a problem, and the quality of the solution program itself. Training via web for programming contests is mainly comprised of the activity of producing solutions to problems offered by the online system (online training platforms), whereas a solution is a program, submitted by the student, and it has to be evaluated, in order to assess the programming performance, and give suggestions about the quality of the solution, so to make the experience an informative (learning) one. To the best of our knowledge, supporting a personalized approach and possibly recommendations given by the system, is a challenge. In this paper we tackle the problem of supporting students in their online training toward the participation in a programming contest, aiming at defining a framework that can allow recommendations, under the form of suggestions, to the learner, about the next programming problem to undertake, and that can foster motivation in students by means of a lightweight, badge-based, gamified approach. © 2018 IEEE.

关键词： Students

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Radiomics-based classification in imbalanced datasets: Complexity or interpretability

Radiomics-based classification in imbalanced datasets: Compl...

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2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024

作者： Boesso, Simone Farina, Lorenzo Petti, Manuela Sapienza University of Rome Dept. of Computer Control and Management Engineering Rome Italy

ISBN: (纸本)9798350386226

Radiomics represents a specialized branch of medical imaging where quantitative features are extracted from images. Performing a classification using radiomics means solving two common problems: the imbalanced setting, and the large number of features that would increase the risk of overfitting. Moreover, since its main application and impact are in clinical field, there is the need of interpretable models for explaining their results. The aim of this study is to compare two modelling approaches: one based on a logistic regression model, known for its simplicity and interpretability, and RUSBoost, an ensemble method designed to handle class imbalance with potentially higher complexity, in order to answer the question whether higher complexity and lower interpretability are justified when dealing with radiomics data. Additionally, due to the large literature suggesting it, we analyze the impact of a feature selection step applied to these two classifiers. Test performances measured across 20 repeated splits on two datasets show how the RUSBoost approach is able to capture more detailed patterns of the data but this is highly dependent on the dataset at hand. © 2024 IEEE.

关键词： Logistic regression

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