Tropical: de negocio familiar a multinacional (1924-1993)

[ES] Este estudio muestra, a grandes rasgos, la evolución de una empresa industrial del subsector Bebidas en Canarias (1924-1993), primando los aspectos relacionados con las estrategias comerciales. Se trata de una síntesis del trabajo más amplio que con el título ?La empresa cervecera en Canarias: desarrollo y evolución de la marca Tropical ? se elaboró dentro del programa Innova. En él se muestran las principales etapas seguidas por la empresa, tratando de explicar la evolución de la misma a partir del mercado regional.

The use of remote sensing imagery for monitoring recovery in the aftermath of a natural disaster: the Hurricane Katrina Case

Although Recovery is often defined as the less studied and documented phase of the Emergency Management Cycle, a wide literature is available for describing characteristics and sub-phases of this process. Previous works do not allow to gain an overall perspective because of a lack of systematic consistent monitoring of recovery utilizing advanced technologies such as remote sensing and GIS technologies. Taking into consideration the key role of Remote Sensing in Response and Damage Assessment, this thesis is aimed to verify the appropriateness of such advanced monitoring techniques to detect recovery advancements over time, with close attention to the main characteristics of the study event: Hurricane Katrina storm surge. Based on multi-source, multi-sensor and multi-temporal data, the post-Katrina recovery was analysed using both a qualitative and a quantitative approach. The first phase was dedicated to the investigation of the relation between urban types, damage and recovery state, referring to geographical and technological parameters. Damage and recovery scales were proposed to review critical observations on remarkable surge- induced effects on various typologies of structures, analyzed at a per-building level. This wide-ranging investigation allowed a new understanding of the distinctive features of the recovery process. A quantitative analysis was employed to develop methodological procedures suited to recognize and monitor distribution, timing and characteristics of recovery activities in the study area. Promising results, gained by applying supervised classification algorithms to detect localization and distribution of blue tarp, have proved that this methodology may help the analyst in the detection and monitoring of recovery activities in areas that have been affected by medium damage. The study found that Mahalanobis Distance was the classifier which provided the most accurate results, in localising blue roofs with 93.7% of blue roof classified correctly and a producer accuracy of 70%. It was seen to be the classifier least sensitive to spectral signature alteration. The application of the dissimilarity textural classification to satellite imagery has demonstrated the suitability of this technique for the detection of debris distribution and for the monitoring of demolition and reconstruction activities in the study area. Linking these geographically extensive techniques with expert per-building interpretation of advanced-technology ground surveys provides a multi-faceted view of the physical recovery process. Remote sensing and GIS technologies combined to advanced ground survey approach provides extremely valuable capability in Recovery activities monitoring and may constitute a technical basis to lead aid organization and local government in the Recovery management.

Optimised polyolefin branch quantification by 13 C NMR spectroscopy

Quantitative branch determination in polyolefins by solid- and melt-state 13C NMR has been investigated. Both methods were optimised toward sensitivity per unit time. While solid-state NMR was shown to give quick albeit only qualitative results, melt-state NMR allowed highly time efficient accurate branch quantification. Comparison of spectra obtained using spectrometers operating at 300, 500 and 700 MHz 1H Larmor frequency, with 4 and 7~mm MAS probeheads, showed that the best sensitivity was achieved at 500 MHz using a 7 mm 13C-1H optimised high temperature probehead. For materials available in large quantities, static melt-state NMR, using large diameter detection coils and high coil filling at 300 MHz, was shown to produce comparable results to melt-state MAS measurements in less time. While the use of J-coupling mediated polarisation transfer techniques was shown to be possible, direct polarisation via single-pulse excitation proved to be more suitable for branch quantification in the melt-state. Artificial line broadening, introduced by FID truncation, was able to be reduced by the use of π pulse-train heteronuclear dipolar decoupling. This decoupling method, when combined with an extended duty-cycle, allowed for significant improvement in resolution. Standard setup, processing and analysis techniques were developed to minimise systematic errors contributing to the measured branch contents. The final optimised melt-state MAS NMR method was shown to allow time efficient quantification of comonomer content and distribution in both polyethylene- and polypropylene-co-α-olefins. The sensitivity of the technique was demonstrated by quantifying branch concentrations of 8 branches per 100,000 CH2 for an industrial ‘linear’ polyethylene in only 13 hours. Even lower degrees of 3–8 long-chain branches per 100,000 carbons were able to be estimated in just 24 hours for a series of γ-irradiated polypropylene homopolymers.

Lifelines in case of Natural Disaster Emergencies

In order to handle Natural disasters, emergency areas are often individuated over the territory, close to populated centres. In these areas, rescue services are located which respond with resources and materials for population relief. A method of automatic positioning of these centres in case of a flood or an earthquake is presented. The positioning procedure consists of two distinct parts developed by the research group of Prof Michael G. H. Bell of Imperial College, London, refined and applied to real cases at the University of Bologna under the coordination of Prof Ezio Todini. There are certain requirements that need to be observed such as the maximum number of rescue points as well as the number of people involved. Initially, the candidate points are decided according to the ones proposed by the local civil protection services. We then calculate all possible routes from each candidate rescue point to all other points, generally using the concept of the "hyperpath", namely a set of paths each one of which may be optimal. The attributes of the road network are of fundamental importance, both for the calculation of the ideal distance and eventual delays due to the event measured in travel time units. In a second phase, the distances are used to decide the optimum rescue point positions using heuristics. This second part functions by "elimination". In the beginning, all points are considered rescue centres. During every interaction we wish to delete one point and calculate the impact it creates. In each case, we delete the point that creates less impact until we reach the number of rescue centres we wish to keep.

Progettazione e implementazione di una rete di sensori mobili Arduino per scenari di Disaster Recovery

Sommario Il progetto descritto in questo documento consiste nella realizzazione di una prima applicazione pratica di uno specifico studio di ricerca rivolto al ripristino di reti wireless in scenari post-calamità naturali. In principio è stata descritta un’ampia analisi delle problematiche di rete che si vengono a creare in seguito ad eventi catastrofici. Successivamente, analizzando le varie tecniche e tecnologie oggetto di studio di diversi gruppi di ricerca, si è scelto di collaborare con il progetto STEM-Mesh, essendo ancora in fase sperimentale, il quale affronta il problema di ristabilire la connettività di rete in questi particolari scenari, attraverso l’utilizzo di tecnologie Cognitive Radio (CR), mobilità controllata e principi di reti auto-organizzanti. Di questo primo approccio pratico sono state poi descritte le fasi di progettazione, implementazione e testing. Nella fase di progettazione sono state studiate le componenti hardware e software che rispettassero il più possibile i requisiti e le caratteristiche dei dispositivi “staminali” STEM-Node cuore del progetto STEM-Mesh, ovvero dei dispositivi wireless altamente auto-riconfiguranti ed auto-organizzanti che possono diventare dispositivi sostituivi ai nodi compromessi in una rete, riconfigurandosi appunto in base alle funzionalità interrotte. Nella fase di implementazione si è passati alla stesura del codice, in Python e Wiring, abilitante il dispositivo STEM-Node. Infine nella fase di testing si è verificato che i risultati fossero quelli desiderati e che il sistema realizzato funzionasse come previsto.

Cut-first branch-and-price-second for the capacitated arc-routing problem

This paper presents the first full-fledged branch-and-price (bap) algorithm for the capacitated arc-routing problem (CARP). Prior exact solution techniques either rely on cutting planes or the transformation of the CARP into a node-routing problem. The drawbacks are either models with inherent symmetry, dense underlying networks, or a formulation where edge flows in a potential solution do not allow the reconstruction of unique CARP tours. The proposed algorithm circumvents all these drawbacks by taking the beneficial ingredients from existing CARP methods and combining them in a new way. The first step is the solution of the one-index formulation of the CARP in order to produce strong cuts and an excellent lower bound. It is known that this bound is typically stronger than relaxations of a pure set-partitioning CARP model.rnSuch a set-partitioning master program results from a Dantzig-Wolfe decomposition. In the second phase, the master program is initialized with the strong cuts, CARP tours are iteratively generated by a pricing procedure, and branching is required to produce integer solutions. This is a cut-first bap-second algorithm and its main function is, in fact, the splitting of edge flows into unique CARP tours.

Studio, Realizzazione e Simulazione di SaveMe, un'applicazione Android per il Disaster Recovery

Quando avvengono disastri naturali, spesso la copertura dati viene a mancare e le infrastutture o sono danneggiate o sono sovraccariche; in questo modo è difficile comunicare sia da parte delle persone che hanno bisogno di aiuto, sia da parte dei soccorritori che cercano di organizzare i soccorsi. Con questa tesi si è voluto realizzare un'applicazione Android che permetta agli utenti di segnalare il proprio bisogno di aiuto, anche se il device non ha una connessione internet attiva. L'applicazione, sfruttando il Wi-Fi e il Wi-Fi Direct, cercherà di formare una rete di dispositivi, attraverso la quale i messaggi di aiuto degli utenti verranno scambiati tra i device. Questa rete, man mano, si allargherà fino ad arrivare ad includere device che avranno una connessione dati attiva. Questi comunicheranno con il mio server, al quale manderanno tutti i messaggi che gli sono arrivati. I dati del server, ossia i messaggi che sono stati mandati dagli utenti, verranno mostrati sul sito ltw1528.web.cs.unibo.it. Attraverso questo sito, i soccorritori potranno vedere la posizione degli utenti in stato di bisogno, cosicché potranno mandarli un messaggio di soccorso, che si propagherà nella rete formatasi in precedenza, ed organizzare i soccorsi in maniera ottimale. Si è anche voluto fare uno studio simulativo per testare la scalabilità dell'applicazione e per raccogliere dati statistici, quali il delay medio tra l'arrivo del messaggio al device con connessione dati e il tempo in cui è stato creato, l'influenza sulla batteria del numero dei messaggi scambiati e il numero degli host, il delay tra il tempo di invio e il tempo di arrivo nello scambio di messaggi al variare del numero degli host.

Laser-guided lumbar medial branch kryorhizotomy

The authors describe a modification of the medial branch kryorhizotomy technique for the treatment of lumbar facet joint syndrome using a fluoroscopy-based laser-guided method. A total of 32 patients suffering from lumbar facet joint syndrome confirmed by positive medial nerve block underwent conventional or laser-guided kryorhizotomy. The procedural time (20.6 +/- 1.0 vs 16.3 +/- 0.9 minutes, p < 0.01), fluoroscopy time (54.1 +/- 3.5 vs 28.2 +/- 2.4 seconds, p < 0.01), radiation dose (407.5 +/- 32.0 vs 224.1 +/- 20.3 cGy/cm(2), p < 0.01), and patient discomfort during the procedure (7.1 +/- 0.4 vs 5.2 +/- 0.4 on the visual analog scale, p < 0.01) were significantly reduced in the laser-guided group. There was a tendency for a better positioning accuracy when the laser guidance method was used (3.0 +/- 0.3 vs 2.2 +/- 0.3 mm of deviation from the target points, p > 0.05). No difference in the outcome was observed between the 2 groups of patients (visual analog scale score 3.5 +/- 0.2 vs 3.3 +/- 0.3, p > 0.05). This improved minimally invasive surgical technique offers advantages to conventional fluoroscopy-based kryorhizotomy.