The interactive potential of Web 2.0

Following the position of Beer and Burrows (2007) this paper poses a re-conceptualization of Web 2.0 interaction in order to understand the properties of action possibilities in and of Web 2.0. The paper discusses the positioning of Web 2.0 social interaction in light of current descriptions, which point toward the capacities of technology in the production of social affordances within that domain (Bruns 2007; Jenkins 2006; O’Reilly 2005). While this diminishes the agency and reflexivity for users of Web 2.0 it also inadvertently positions tools as the central driver for the interactive potential available (Everitt and Mills 2009; van Dicjk 2009). In doing so it neglects the possibility that participants may be more involved in the production of Web 2.0 than the technology that underwrites it. It is this aspect of Web 2.0 that is questioned in the study with particular interest on how an analytical option may be made available to broaden the scope of investigations into Web 2.0 to include a study of the capacity for an interactive potential in light of how action possibilities are presented to users through communication with others (Bonderup Dohn 2009).

An application of fuzzy DL-Based semantic perception to soil container classification

Semantic perception and object labeling are key requirements for robots interacting with objects on a higher level. Symbolic annotation of objects allows the usage of planning algorithms for object interaction, for instance in a typical fetchand-carry scenario. In current research, perception is usually based on 3D scene reconstruction and geometric model matching, where trained features are matched with a 3D sample point cloud. In this work we propose a semantic perception method which is based on spatio-semantic features. These features are defined in a natural, symbolic way, such as geometry and spatial relation. In contrast to point-based model matching methods, a spatial ontology is used where objects are rather described how they "look like", similar to how a human would described unknown objects to another person. A fuzzy based reasoning approach matches perceivable features with a spatial ontology of the objects. The approach provides a method which is able to deal with senor noise and occlusions. Another advantage is that no training phase is needed in order to learn object features. The use-case of the proposed method is the detection of soil sample containers in an outdoor environment which have to be collected by a mobile robot. The approach is verified using real world experiments.

Dynamic stability metrics for the container loading problem

The Container Loading Problem (CLP) literature has traditionally evaluated the dynamic stability of cargo by applying two metrics to box arrangements: the mean number of boxes supporting the items excluding those placed directly on the floor (M1) and the percentage of boxes with insufficient lateral support (M2). However, these metrics, that aim to be proxies for cargo stability during transportation, fail to translate real-world cargo conditions of dynamic stability. In this paper two new performance indicators are proposed to evaluate the dynamic stability of cargo arrangements: the number of fallen boxes (NFB) and the number of boxes within the Damage Boundary Curve fragility test (NB_DBC). Using 1500 solutions for well-known problem instances found in the literature, these new performance indicators are evaluated using a physics simulation tool (StableCargo), replacing the real-world transportation by a truck with a simulation of the dynamic behaviour of container loading arrangements. Two new dynamic stability metrics that can be integrated within any container loading algorithm are also proposed. The metrics are analytical models of the proposed stability performance indicators, computed by multiple linear regression. Pearson’s r correlation coefficient was used as an evaluation parameter for the performance of the models. The extensive computational results show that the proposed metrics are better proxies for dynamic stability in the CLP than the previous widely used metrics.

Analisi e ottimizzazione di un container management system nel settore automotive: Il caso Robert Bosch GmbH.

Il presente elaborato descrive l’attività di progetto svolta durante il periodo di tirocinio presso la business unit “automotive technologies” della Robert Bosch GmbH: la Robert Bosch GmbH Branch in Italy che ha sede a Torino, e che si configura come fornitore di componenti per l’industria automotive. La funzione logistica è l’ufficio in cui si è svolta l’esperienza di tirocinio, che si è sviluppato nell’ambito del progetto di Container Management System. In particolare, è stato analizzato il sistema di gestione dei Returnable Packaging relativi ai componenti che vengono forniti agli stabilimenti dei clienti localizzati in Italia. L’elaborato è composto da due parti: una parte teorica e una parte pratica. La parte teorica espone gli strumenti teorici sui quali si fondano i contenuti sviluppati nella parte pratica. La parte pratica è volta a descrivere l’attività di progetto da un punto di vista strettamente operativo. Il primo capitolo illustra i motivi che hanno determinato l’avvio del progetto. Sono poi messi in evidenza quali sono gli obiettivi intermedi e finali che si intendono raggiungere, declinandoli in termini di organizzazione del lavoro. Sono qui esposte le basi teoriche del metodo utilizzato e della disciplina a cui si fa riferimento. Viene inoltre dato spazio alla trattazione di alcuni topic nell’ambito dei Returnable Packaging, approfondendo l’argomento per il settore automotive. Il secondo capitolo descrive la struttura organizzativa, i settori di business e le attività svolte dal gruppo Robert Bosch GmbH nel mondo e in Italia. Viene dato particolare rilievo alla sede di Torino ed alla divisione logistica di quest’ultima, in modo tale da descrivere il contesto entro il quale si sviluppa il progetto. Il capitolo presenta infine gli attori che operano nella catena logistica analizzata, descrivendone le attività svolte e caratterizzando la rete logistica studiata al fine di definire i confini entro i quali si sviluppa il progetto. Il terzo capitolo presenta l’analisi effettuata sul caso in esame, descrivendone le modalità operative per ciascuna fase. Il quarto capitolo presenta delle osservazioni sull’analisi effettuata, la validazione tecnico econimica delle soluzioni proposte e le considerazioni conclusive.

Optimising container process at multimodal container terminal with automatic straddle carriers

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