1,720,962 research outputs found
Fabric variation and visualization using light dependent factor.
Full text linkTypically, fabrics are recognised by human touch or feel. However, this study proposes an Internet of Things application that allows for the detection of fabric variation through light-based sensors
Vocal Source Builds Divergence in Gender Recognition
Full text linkThe purpose of this study was to investigate whether artificial intelligence could be used to determine a person's gender based on the sound of their voice. The research examined different machine learning and deep learning algorithms for gender classification based on voice. The study used multi-layer perceptron (MLP), random forest, decision tree and logistic regression models, and compared their performance. MLP was shown to achieve an accuracy of 96.84%; random forest achieved 96.42%; decision tree achieved 96.21%; and logistic regression achieved 89.37%
Development of transaction model using blockchain technology for e-commerce management
No full textThe rapid proliferation of e-commerce has revolutionized the way organizations operate and consumers shop. However, the conventional e-commerce landscape is plagued by trust, transparency, and security issues, hindering its full potential. With its decentralized and immutable ledger system, blockchain technology offers a promising solution to address these challenges. This research endeavours to design and implement a transaction model harnessing the power of blockchain technology to enhance the management of e-commerce platforms. The proposed transaction model leverages blockchain's core features, such as transparency and security, to create a trustless environment for e-commerce transactions. Smart contracts, programmable self-executing contracts, are employed to automate and streamline various aspects of the e-commerce process, including order placement, payment processing, and order fulfilment. These smart contracts are designed to be transparent, tamper-proof, and accessible to all stakeholders, thereby reducing the likelihood of fraud and disputes. In conclusion, this research project endeavours to contribute to the advancement of e-commerce management through the development and implementation of a blockchain-based transaction model. By enhancing trust, security, and transparency in e-commerce transactions and supply chain processes, the potential benefits of this technology for both businesses and consumers are substantial, paving the way for a more efficient and trustworthy e-commerce ecosystem
A Robust Decomposition Based Algorithm For Removal Of Pattern Noise From Images
No full textThis article aims a melting pool of complex vectors, that is, the aggregation and the minimization problem of sufficiency spectra. A mixture of this blended standard and image decline issue works admirably to reduce and deteriorate the example of concussion which occurs when old pictures are filtered with granular surfaces. In most cases, the appealing appropriation of regular photos easily reduces from low repetition to the high repetition band, while the episode of concussion is scarcely circulating. We agree along these lines that a picture viewed includes an idle image and an example clamor, describing them separately by using the full range and capacity work. This enables the two parts to decompose sensibly. In contrast to the comparative strategies of deterioration, for instance, robust PCA, our technique is decent, less computer expenditure, and moreover less time suited for any image organizatio
EMG signals characterization in three states of contraction by fuzzy network and feature extraction
No full textNeuro-muscular and musculoskeletal disorders and injuries highly affect the life style and the motion abilities of an individual. This brief highlights a systematic method for detection of the level of muscle power declining in musculoskeletal and Neuro-muscular disorders. The neuro-fuzzy system is trained with 70 percent of the recorded Electromyography (EMG) cut off window and then used for classification and modeling purposes. The neuro-fuzzy classifier is validated in comparison to some other well-known classifiers in classification of the recorded EMG signals with the three states of contractions corresponding to the extracted features. Different structures of the neuro-fuzzy classifier are also comparatively analyzed to find the optimum structure of the classifier used
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Variations on the Author
Full text link“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
Full text linkWe 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
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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