1,354,929 research outputs found
Thomas P. Lampropoulos at Norwich University, 1978
Black-and-white photograph of Thomas Lampropoulos (Norwich University Class of 1978) in front of a building on the Norwich University campus in Northfield, Vermont, photographed in 1978 for the university's yearbook
Initial results on the fabrication of long-period fiber Bragg gratings with a CO(2) laser
Long-period fiber Bragg gratings (LPG) where the grating period is much longer than the wavelength of light have many unique characteristics and find uses in gain-flattening filters and mode converters. This paper describes the characteristics of the initial LPGs fabricated at the University of Adelaide using an infrared CO2 laser. The optical system implemented promotes uniform irradiation of the full circumference of the fiber, avoiding many of the non-uniformities, associated with a single sided system. Some initial gratings have been made using this method, which typically show an attenuation of 10dB within a wavelength range (FWHM) of 8 nm. Work is now focused on improving these devices through an understanding of the writing process and its effect on the transmitted spectrum.John C. Armitage, Magnus T. L. Hsu, Jesper Munch, Kerry A. Corbett, Kenneth J. Grant and Chris Jewel
Deeper Shallow Embeddings
Deep and shallow embeddings are two popular techniques for embedding a language in a host language with complementary strengths and weaknesses. In a deep embedding, embedded constructs are defined as data in the host: this allows for syntax manipulation and facilitates metatheoretic reasoning, but is challenging to implement - especially in the case of dependently typed embedded languages. In a shallow embedding, by contrast, constructs are encoded using features of the host: this makes them quite straightforward to implement, but limits their use in practice.
In this paper, we attempt to bridge the gap between the two, by presenting a general technique for extending a shallow embedding of a type theory with a deep embedding of its typing derivations. Such embeddings are almost as straightforward to implement as shallow ones, but come with capabilities traditionally associated with deep ones. We demonstrate these increased capabilities in a number of case studies; including a DSL that only holds affine terms, and a dependently typed core language with computational beta reduction that leverages function extensionality
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Mechanical performance of novel cement-based composites prepared with nano-fibres, and hybrid nano- and micro- fibres
Use of hybrid fibre composites that exploit the synergistic effect of nano- and micro-additives can potentially lead to significant improvements in the toughness and mechanical properties of fibre reinforced cementitious materials. In this study, the mechanical properties of two types of novel cementitious composite (Carbon Nano-Fibre (CNF) Composites, and Hybrid-Fibre Composites) at various curing ages have been evaluated, along with their microstructure. Experimental results show a positive impact of nano-fibres on the mechanical performance of the cementitious composites: improvements of 40% in flexural strength, 45% in tensile strength, and 85% in toughness were observed when a low mass % (0.025%) of CNFs was combined with steel fibres. SEM observations revealed that reinforcement at the nanoscale prevented nano-crack development within the composites, with a greater amount of energy required to initiate and propagate cracks and cause material failure
Effect of undensified silica fume on the dispersion of carbon nanotubes within a cementitious composite
The synergistic effect of multi-walled carbon nanotubes (MWCNTs) and Undensified Silica Fume (USF) on the microstructure of cementitious composites has been studied. In the current work, USF was used to enhance the dispersion of nanotubes throughout the composite and prevent the re-agglomeration of nanotubes by providing a physical barrier of particles of small size. Ultrasonication was employed to disperse MWCNTs in water in the presence of polycarboxylate-based superplasticizer (PCE) as a dispersion agent. The results indicate that incorporation of USF considerably improves the dispersion of nanotubes in the composites, with subsequent enhancement of composite packing density. This enhancement can be attributed to the synergistic effect of MWCNTs and USF in reducing the volume of pores through the cementitious composites
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Enlarged shufflenet architecture for optical networks
Also included in “Applications of Photonic Technology 2”, G. A. Lampropoulos and R. A. Lessard (Eds.), pp. 217-222, Plenum Press, New York, 199
Reconsidering a sustainable future through artificial intelligence of things (AIoT) in the context of circular economy
To assure a sustainable future for current and future generations, the achievement of the 17 Sustainable Development Goals (SDGs) which was set by the United Nations is imperative. Hence, a fundamental social and cultural shift toward resource efficiency and more sustainable lifestyles is required. In this context, the need for a circular economy is becoming more evident. New technologies can assist in meeting SDGs and achieving an effective circular economy. Particularly, Artificial Intelligence (AI) and Internet of Things (IoT) are critical technologies for fulfilling these goals. The combination of AI with IoT leads to the Artificial Intelligence of Things (AIoT) which has the potential to further facilitate the transition toward and amplify the benefits for a sustainable future. This chapter aims to examine how AI can support the achievement of SDGs and realization of a circular economy. Additionally, the 4R sustainability framework (Reduce, Reuse, Recycle, and Rethink) is presented as a proposed extension of the 3R principles. To assess its suitability, a Sociocultural, Technical, Economic, Environmental, Political, Legal, Ethical, and Demographic (STEEPLED) analysis is conducted. The need to educate the younger generations and re-educate adults to achieve changes in attitudes and mindsets toward sustainability was highlighted as a vital process. The need to further improve adaptability and reusability of resources emerged as a requirement to effectively maximize the 4Rs. AI emerged as a determining factor in achieving SDGs and creating a circular economy
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