1,720,966 research outputs found
Gaming the Driving System: On Interaction Attacks Against Connected and Automated Vehicles
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RobustStateNet: Robust ego vehicle state estimation for Autonomous Driving
Full text linkControl of an ego vehicle for Autonomous Driving (AD) requires an accurate definition of its state. Implementation of various model-based Kalman Filtering (KF) techniques for state estimation is prevalent in the literature. These algorithms use measurements from IMU and input signals from steering and wheel encoders for motion prediction with physics-based models, and a Global Navigation Satellite System(GNSS) for global localization. Such methods are widely investigated and majorly focus on increasing the accuracy of the estimation. Ego motion prediction in these approaches does not model the sensor failure modes and assumes completely known dynamics with motion and measurement model noises. In this work, we propose a novel Recurrent Neural Network (RNN) based motion predictor that parallelly models the sensor measurement dynamics and selectively fuses the features to increase the robustness of prediction, in particular in scenarios where we witness sensor failures. This motion predictor is integrated into a KF-like framework, RobustStateNet that takes a global position from the GNSS sensor and updates the predicted state. We demonstrate that the proposed state estimation routine outperforms the Model-Based KF and KalmanNet architecture in terms of estimation accuracy and robustness. The proposed algorithms are validated in the modified NuScenes CAN bus dataset, designed to simulate various types of sensor failures
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Bottom-up cost estimation of small modular PWR
Full text linkLAUREA SPECIALISTICACon “deliberately small reactors” si intende una categoria di reattori che sta riscuotendo grande attenzione nella comunità internazionale. Ridurre l’output elettrico di impianto è apparentemente contrario alla logica di efficienza economica, ma si motiva con vantaggi a livello di progetto.
In un impianto nucleare, la taglia ridotta permette di adottare soluzioni tecnologiche differenti e semplificate rispetto agli impianti di dimensione maggiore: snellendo il layout di impianto, introducendo maggiore sicurezza intrinseca e riducendo il numero di componenti attivi.
Il presente lavoro di tesi si inserisce nel quadro della ricerca economica degli SMR, dando un contributo all’analisi dei vantaggi di costo legati alle peculiari soluzioni tecnologiche adottabili dagli impianti di ridotta dimensione. L’analisi adotta un approccio bottom-up, con la valutazione delle macro-aree di costo di costruzione dell’impianto, che richiede necessariamente il riferimento a progetti di impianto specifici. Il presente lavoro si propone come un tentativo concreto di stima dei vantaggi economici di design e dovrà far riferimento a 3 modelli di PWR di taglia compresa tra i 50-300MWe.
Si è fatto riferimento ai dati disponibili in letteratura per ricavare i dati necessari alle analisi.
Data la difficoltà nel quantificare gli effetti della modularizzazione e del project management il risultato delle analisi mostra gli effetti dovuti all’economia di scala contrapposti agli effetti benefici introdotti dalla semplificazione del design.
I risultati possono essere sintetizzati comparando i fattori di scala ricavati dalle stime top-down e quelli ricavati a partire dai risultati delle stime bottom-up qui effettuate, che mostrano una minor performance economica associata agli SMRs.
Ciò è dovuto ai costi dei materiali che rappresentano il driver principale di molte categorie di costo rilevanti; l’economia di scala incide in maniera più significativa rispetto alle previsioni: la riduzione di output elettrico è molto più importante della riduzione di peso e non riesce ad essere alleggerita da semplificazioni di design
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