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NoSQL databases are an effective solution for storing and processing large data, but these databases are heterogeneous. They offer different data storage models, implementations and languages to developers and users. This wide variety of platforms makes it difficult data interoperability, data integration and even data migration from one system to another. This paper proposes a literature review of...
Data aggregation is a process of expressing information in a summary form for further interpretation using statistical analysis, machine learning or data mining. Almost every data manipulation language has built-in, standard or common capabilities to aggregate data. This paper overviews different concepts of expressing data aggregation in programming languages. Specifically, we overview data aggregation...
Microtext is sparse and informal content typical in social media that is being widely used to study various facets of today's society. This paper proposes the use of supplemental context to counteract the limitations imposed by the sparsity and the informality of microtext on the performance of word sense disambiguation (WSD). WSD relies on the senses of words around an ambiguous word to disambiguate...
To accomplish the organizational business objectives and consistently improve processes, high maturity processes are implemented in numerous software enterprises. Organizational process asset library (OPAL) plays a significant role in the definitions, executions and improvements for software processes. Based on the conceptions of Capability Maturity Model Integration (CMMI) and practical experience,...
Retinal vessel segmentation plays a key role in the detection of numerous eye diseases, and its reliable computerised implementation becomes important for automatic retinal disease screening systems. A large number of retinal vessel segmentation algorithms have been reported, primarily based on three main steps including making the background uniform, second-order Gaussian detector application and...
Financial transaction networks are some of the largest networks in existence. A relatively new type of financial networks is the digital (crypto) currency network, e.g., Bitcoin. Namecoin is an alternative crypto currency, based on Bitcoin, with additional features such as DNS. Namecoin network has more than 2 million nodes and almost 17 million edges. The analysis of such a crypto currency network...
Phenotypical similarity between diseases is an important factor in biomedical research since it has been used in many disease-related studies. More specifically, this information improves prediction performance of methods proposed for identifying disease-associated cellular components. In addition, this is also useful to figure out relationship among diseases to explain disease co-morbidity phenomenon...
Consistent query answering is a principled approach to query answering on inconsistent databases: when an inconsistent database has more than one plausible repair, queries are answered by returning the intersection of the query answers over all repairs. In this paper, we study consistent query answering over temporal databases relative to atemporal integrity constraints. A temporal database is conceptually...
Recent years have seen a growing interest in the use of deep neural networks as function approximators in reinforcement learning. In this paper, an experience replay method is proposed that ensures that the distribution of the experiences used for training is between that of the policy and a uniform distribution. Through experiments on a magnetic manipulation task it is shown that the method reduces...
We propose new features for emotion recognition from short ECG signals. The features represent the statistical distribution of dominant frequencies, calculated using spectrogram analysis of intrinsic mode function after applying the bivariate empirical mode decomposition to ECG. KNN was used to classify emotions in valence and arousal for a 3-class problem (low-medium-high). Using ECG from the Mahnob-HCI...
Pattern recognition is one of the fundamental competencies associated with computational thinking and STEM education. Although much has been written to define computational thinking (CT), we argue that CT is a multi-faceted construct and specific aspects of CT (such as pattern recognition) should be examined. The purpose of this study is to conduct a systematic review of literature on pattern recognition...
This paper describes an innovative approach to standards education in an undergraduate mechanical engineering technology design course. The work is focused on making standards appeal to students by using “everyday objects” (e.g. toaster, ladder, grill, etc.) as catalysts to introduce the topic of standards in a way that connects to students' daily lives. The project involves instructor-librarian collaboration...
This article aims to describe, in brief, the formation process of the Pedagogical Standard for the Analysis of Virtual Learning Environments. This Standard is a tool that is intended to aid subjects in the process of choosing a particular Virtual Learning Environment through an analysis including the pedagogical aspects of these environments. The qualitative approach was adopted in the methodological...
Spectrum databases are increasingly being used, particularly in spectrum sharing mechanisms, but also in realms such as network optimization, novel licensing regimes, and regulatory monitoring, among others. Spectrum databases are often far more effective, reactive, or sometimes even are required to operate, in conjunction with spectrum sensing — especially if their operation requires automation....
In this paper we present an efficient example-based method for Gaussian denoising of CT images. In the proposed method, an image is considered as a sum of the three frequency bands: low-band, middle-band and high-band. We assume that the noise component is often mixed into the middle-band and the high-band in order to better preserve the high-frequency details in the image we perform denoising on...
In Venezuela and other countries where it coexists public health system and a private one, we find a variety of organizations that present health services. Even though we have a strong public system, we often find that each health center uses different Electronic Medical Record systems, hindering data sharing for improved patient care. One of the strongest challenges for the integration of all databases...
Cooperative Intelligent Transportation Systems (CITS) are being developed to make road traffic safer and more efficient. Vehicle to vehicle (V2V) communication plays an important role for the cooperative awareness of vehicles in all the CITS standards in EU, US, and Japan. Essentially the CITS application relies on the exchanged data by V2V messages (called Cooperative Awareness Message (CAM) in EU)...
For the lacking of inspection method, the transportation data standards are compiled weakly in the process of transportation information system developing, which increases the difficulty of data sharing and exchange. In order to improve the conformance of data with the standards of transportation information systems, a method named “data standard conformance inspection” is proposed in this paper....
In the field of image processing, compared with noisy image, high-quality or clean image usually has a positive impact on the final results, which lead to the emergence of image denoising. Recently, the patch-based methods have attracted considerable interest of researchers, which leverage the self-similarity of the noisy image or information of other relevant images. In this paper, we proposed a...
In this paper, we evaluated two well-known QRS algorithms: Pan & Tompkins (PT) and based wavelet transform (WT) on an ECG stress test database. In the absence of an annotated ECG stress test database, the first stage of this work consisted of the database annotation, using RR-time series obtained from an eight leads stress database (DICARDIA). First, the system proposes to users a lead (reference...
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