Search results for "Intelligence"
showing 10 items of 6959 documents
Recommending Serendipitous Items using Transfer Learning
2018
Most recommender algorithms are designed to suggest relevant items, but suggesting these items does not always result in user satisfaction. Therefore, the efforts in recommender systems recently shifted towards serendipity, but generating serendipitous recommendations is difficult due to the lack of training data. To the best of our knowledge, there are many large datasets containing relevance scores (relevance oriented) and only one publicly available dataset containing a relatively small number of serendipity scores (serendipity oriented). This limits the learning capabilities of serendipity oriented algorithms. Therefore, in the absence of any known deep learning algorithms for recommend…
The challenges of analysing blood stains with hyperspectral imaging
2014
Hyperspectral imaging is a potential noninvasive technology for detecting, separating and identifying various substances. In the forensic and military medicine and other CBRNE related use it could be a potential method for analyzing blood and for scanning other human based fluids. For example, it would be valuable to easily detect whether some traces of blood are from one or more persons or if there are some irrelevant substances or anomalies in the blood. This article represents an experiment of separating four persons' blood stains on a white cotton fabric with a SWIR hyperspectral camera and FT-NIR spectrometer. Each tested sample includes standardized 75 _l of 100 % blood. The results s…
Hyperspectral imaging based biomass and nitrogen content estimations from light-weight UAV
2013
Hyperspectral imaging based precise fertilization is challenge in the northern Europe, because of the cloud conditions. In this paper we will introduce schemes for the biomass and nitrogen content estimations from hyperspectral images. In this research we used the Fabry-Perot interferometer based hypespectral imager that enables hyperspectral imaging from lightweight UAVs. During the summers 2011 and 2012 imaging and flight campaigns were carried out on the Finnish test field. Estimation mehtod uses features from linear and non-linear unmixing and vegetation indices. The results showed that the concept of small hyperspectral imager, UAV and data analysis is ready to operational use.
Curvelet-based method for orientation estimation of particles
2013
A method based on the curvelet transform is introduced for estimating from two-dimensional images the orientation distribution of small anisotropic particles. Orientation of fibers in paper is considered as a particular application of the method. Theoretical aspects of the suitability of this method are discussed and its efficiency is demonstrated with simulated and real images of fibrous systems. Comparison is made with two traditionally used methods of orientation analysis, and the new curvelet-based method is shown to perform clearly better than these traditional methods.
Curvelet-based method for orientation estimation of particles from optical images
2014
A method based on the curvelet transform is introduced to estimate the orientation distribution from two-dimensional images of small anisotropic particles. Orientation of fibers in paper is considered as a particular application of the method. Theoretical aspects of the suitability of this method are discussed and its efficiency is demonstrated with simulated and real images of fibrous systems. Comparison is made with two traditionally used methods of orientation analysis, and the new curvelet-based method is shown to perform better than these tradi- tional methods. © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of th…
Towards proactive context-aware self-healing for 5G networks
2017
In this paper, we suggest a new research direction and a future vision for Self-Healing (SH) in Self-Organizing Networks (SONs). The problem we wish to solve is that traditional SH solutions may not be sufficient for the future needs of cellular network management because of their reactive nature, i.e., they start recovering after detecting already occurred faults instead of preparing for possible future faults in a pre-emptive manner. The detection delays are especially problematic with regard to the zero latency requirements of 5G networks. To address this problem, existing SONs need to be upgraded from reactive to proactive response. One of the dimensions in SH research is to employ more…
Exercising exclusions: Space, visibility, and monitoring of the exercising fat female body
2019
The author’s aim is to inspect the position of the fat (female) body in the field of exercise. Specifically, the author is interested in fat women’s experiences of their treatment while exercising in public, and argues that, in particular, public spaces for exercise, such as gyms and swimming pools, are currently discursively and concretely constructed as “exclusive” spaces for the normative bodied. Bodies that are deemed non-normative, such as fat bodies, are often made either invisible or intolerable in the discourse of physical activity and exercise. Consequently, public spaces for exercise such as gyms or swimming pools are seen as out of bounds for non-normative bodies and this is refl…
Emotions and Technoethics
2020
The relationship between emotions and ethics has been debated for centuries. The act of understanding emotions through the framework of ethics involves accepting that emotions are to some extent culturally dependent. By linking emotions in design to larger ethical discussions, it may be accepted that ethics and design are both technological constructions designed to shape a collective worldview. While both are cultural constructions, they are in constant dialogue with one another through social discourse and individualistic cognitive–affective appraisal processes. This chapter presents an account of technoethics that challenges ideas of ethical values embedded within technology, drawing att…
Emotions in Technology Design
2020
Understanding emotions is becoming ever more valuable in design, both in terms of what people prefer as well as in relation to how they behave in relation to it. Approaches to conceptualising emotions in technology design, how emotions can be operationalised and how they can be measured are paramount to ascertaining the core principles of design.Emotions in Technology Design: From Experience to Ethics provides a multi-dimensional approach to studying, designing and comprehending emotions in design. It presents emotions as understood through basic human-technology research, applied design practice, culture and aesthetics, ethical approaches to emotional design, and ethics as a cultural frame…
Analysis of the perceived self-‐efficacy in the use of ICT of pre-‐ service primary and preschool teachers
2017
La formación del profesorado en el uso de las TIC es un aspecto importante para conseguir una verdadera integración de las TIC en la educación. Según el modelo TPACK, esta formación no debe limitarse a contemplar de manera separada los aspectos relacionados con las TIC, el contenido curricular y la metodología. En el presente estudio se explora la percepción de autoeficacia en cuanto al uso de las TIC en el aula de una muestra de 107 estudiantes de los grados de Maestro/a en Educación Infantil y en Educación Primaria. Para ello se emplea una traducción del cuestionario para la autoevaluación de las competencias TIC elaborado por Tondeur et al. (2016). Los resultados del estudio muestran que…