4 research outputs found
Knowledge-based seismogram processing by mental images
The impact of pictorial knowledge representation is demonstrated for two examples of time series analysis in seismology. The approaches perform a) automated recognition of known event signatures and b) high-resolution onset timing of later phases. Both methods work well under extreme conditions of noise and achieved human-like performance in recognizing known situations. Crucial for this success of pictorial knowledge representation was the design of suitably scaled images. They must be simple and robust enough to transform the complexity of “real life” data into a limited set of patterns. These patterns differ significantly from the initial data; they correspond more closely to the non-linear weighting of recognized impressions by an experienced scientist. Thus the author addresses the pictorial presentations as mental images. For both reported applications, part of their power comes by model-based image modifications. However, this enhancement is far from demanding a complete theory. Any fractional model already enhances the image adaptation, so mental images are best suited to deal with incomplete knowledge like any other artificial intelligence approach. Cognitive plausibility was found for both the non-linear image scalings and the model-based image modifications. In general, the author's method of pictorial knowledge representation conforms to the concept of mental images by Kosslyn. Any new task will demand the composition of new, dedicated image transformations where some generalized design criteria are derived from the author's applications
Speech Recognition based Automatic Earthquake Detection and Classification
Die moderne Seismologie zeichnet die Bodenbewegungen mit einem weltweit verteilten Stationsnetz kontinuierlich auf und gilt damit als datenreiche Wissenschaft. Die Extraktion der im Moment interessierenden Daten aus diesen kontinuierlichen Aufzeichnungen, seien es Erdbebensignale oder Nuklearsprengungen oder ä.m., ist eine Herausforderung an die bisher verwendeten Detektions- und Klassifizierungsalgorithmen
Digital marketing, elements of the public sector competition value chain in Barranquilla, (Colombia)
La organización en la actualidad están obligadas a generar mayores
beneficios a sus consumidores para lograr mayor posicionamiento en el mercado,
eso depende del manejo de factores de competitividad internos y externos que
predominan en las organizaciones medianas en el sector de la publicidad digital
en Barranquilla. El objetivo de esta investigación fue describir el marketing digital
del sector publicitario. La investigación es descriptiva con diseño no experimental
y transversal. La muestra estuvo conformada por 15 empresas, cumpliendo los
criterios: Empresa mediana, con departamento de Marketing digital, domiciliada
en Barranquilla. Los resultados fueron descripción el marketing digital del sector
publicitario, de acuerdo a los factores internos y externos en estas empresas
presentan donde existe una consistencia moderada en la dinámica de respuesta
de la empresa ante factores externos y viceversa. Se concluyó que las empresas de
este sector requieren de estrategias que promuevan el desarrollo de los indicadores
internos de competitividad que respondan a los factores cambiantes externo.The organization is currently forced to generate greater benefits to its
consumers to achieve greater market positioning, that depends on the management
of internal and external competitiveness factors that predominates in medium-sized
organizations in the digital advertising sector in Barranquilla. The objective of this
research was to describe the digital marketing of the advertising sector. The research
is descriptive with non-experimental and transversal design. The sample was composed by 15 companies, fulfilling the criteria: Medium company, with department
of Digital Marketing, placed in Barranquilla. The results were a description digital
marketing of the advertising sector, according of the internal and external factors
in these companies present where there is a moderate consistency in the dynamics
of the company’s response to external factors and vice versa. It was concluded that
companies in this sector have difficulties in strategies that promote the development
of internal competitiveness indicators that respond to changing external factors