Basic Motivic Analysis

Chapter 5 establishes the rules and guidelines for basic motivic analysis (BMA), the more elementary mode of analysis limited to examining the pitch and rhythmic content of music. The first part of the chapter establishes a standard procedure for reduction, or extracting motives from ornamented melodies; this includes rules for motives spanning multiple phrases. The second part of the chapter establishes rules for associating shapes within a work. Such associations are required to be literal, in stark contrast to Schoenberg’s philosophy of Developing Variation. The allowable transformations in pitch are transposition, inversion, and retrograde, and in rhythm are the duration scaling operations, augmentation and diminution. A single, informal associative relation, “sensed connection,” may be used to indicate an analyst’s artistic intuitions about motivic relationships that are unprovable. A last set of rules delineates a proper format for BMA. An analysis must be structured around a single source event called a Focal Point, that occurs near the beginning and furnishes all or nearly all relevant shapes in the piece. Motives must be derived from the Focal Point in forward order (propagative). Discussion is supported by analyses of excerpts by Bach, Beethoven, Brahms, Mozart, Rossini, and Pierre Leemans.

An Architectural Guide and Design of StreamEPS

<i>This is about the overall functionality and complexity (size) of the open source event stream processing system or StreamEPS for short. The elements of the platform will be functional if the design follows application interfaces as described in this work. The engine architecture details the overall functionality in terms of engine core, engine context, engine processing and of itself.</i>

An Architectural Guide and Design of StreamEPS

<i>This is about the overall functionality and complexity (size) of the open source event stream processing system or StreamEPS for short. The elements of the platform will be functional if the design follows application interfaces as described in this work. The engine architecture details the overall functionality in terms of engine core, engine context, engine processing and of itself.</i>

Quantitative Estimation of Disruption in Social Contact Structure and its Effect in COVID-19 Spread in India

In this paper we use the well-known SIR (Susceptible-Infected-recovered) epidemiology model for quantitatively estimating the impact of this disruption in the social contact structure of India and retrospectively estimate the number of COVID-19 cases in India by neglecting the single source event. Model predicts that around 32% of COVID-19 cases (as on April 14, 2020) are contributed by the single source event. Given this disruption of the social contact structure, the model shows that the country wide lockdown has been effective in bringing down the number of cases in India.

Cognitive principles underlying predicational metonymy

Metonymy of a predicate, in which the source event implies the target event, is called predicational metonymy. This paper focused on a Japanese productive predicational metonymy, action for causation, and described its linguistic preference in terms of aspectual construal based on a corpus-driven quantitative investigation. The results revealed that an event that is bounded and durative is preferred as the metonymic vehicle in action for causation metonymy. The two cognitive principles, bounded over unbounded and durative over punctual, were proposed to explain the linguistic preference. It was suggested that the two principles can be subsumed under the fundamental cognitive principle of good Gestalt over poor Gestalt, and that this general principle governs metonymic preference of both predicates and nominal phrases.

An approach to business process simulation using mined probabilistic models

There are many approaches on how to analyse business processes, but the simulation is still not widely employed due to high costs associated with simulation model creation. In this paper, an approach on how to automatically generate dynamic business process simulation model is presented. The approach discovers belief network of the process from an event log and uses it to generate a simulation model automatically. Such model then can be further customised to facilitate analysis. For evaluation of the approach, conformance of the simulation results with the source event logs was calculated. The simulation results were event logs that were generated during the simulation of the discovered models. The evaluation showed that the approach could be used for initial simulation model generation.