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In the era of big data, data analytics, business intelligence database management plays a vital role from technical business management and research point of view. Over many decades, database management has been a topic of active research. There are different type of database management system have been proposed over a period of time but Relational Database Management System (RDBMS) is the one which...
The use of biometric technologies becomes ubiquitous in modern society due to the proliferating number of crimes and terror attacks as well as the vital need to provide safer environment. Gait biometrics is considered one of the emerging key research areas due to its potential use in a plethora of applications such as forensics and visual surveillance. As the evaluation of biometric-based evidence...
In response to growing commercial interest in mining of seafloor massive sulfide (SMS) deposits, there has been ongoing debate about the possible global abundance of SMS [1,2,3,4]. The need for such assessments is now more urgent, as a number of countries, mining and exploration companies, and international consortia have begun to invest in intensive exploration campaigns for SMS. This paper examines...
The main purpose of this paper is to review the literatures on the adoption of Cloud Computing by SMEs in order to learn the current state of Cloud Computing studies and identify gaps for future research. Twenty-two articles were reviewed and analyzed from various journals and conference proceedings that were published on Cloud Computing adoption, acceptance, and diffusion. Findings revealed that...
Advanced fault detection and diagnosis system for a process equipment can yield economical benefits by minimizing downtime and service costs. Using models and heuristic knowledge fault diagnosis can advance beyond the conventional level of detecting faults after they occur. This paper presents an advanced fault diagnosis system designed for the variable volume pressure filter. The utilization of the...
Real-world deployment of unimodal and multimodal biometric systems often have to contend with degraded signal quality and erratic behaviour of the biometric data being modelled. We review approaches that have been used to extract additional information about the biometric data that can then be used to improve performance in degraded conditions, with a special emphasis on speech (where we present new...
In this paper, we extend the information theoretic secure constructions for biometrics to the computational setting. Based on semantically secure encryption, we introduce robust, fully private and secure biometric key distillation and verification. Our model incorporates an adversary with side information who has access to a database with reference information. Even though our schemes are based on...
India holds one of the largest domains of the world in providing governance within a population of 1.2 billion people. Recent years have seen massive initiatives from all sides for using inclusive technology in catering public services. Several ventures like 'digital India' have been taken to improve the inbuilt technology in different governance systems. But ageing systems and isolated service-domains...
Over the years, data management has diversified and moved into multiple directions, mainly caused by a significant growth in the application space with different usage patterns, a massive change in the underlying hardware characteristics, and-last but not least-growing data volumes to be processed. A solution matching these constraints has to cope with a multidimensional problem space including techniques...
Conventional speaker identification systems are already field-proven with respect to recognition accuracy. Since any biometric identification requires exhaustive 1 : N comparisons for identifying a biometric probe, comparison time frequently dominates the overall computational workload, preventing the system from being executed in real-time. In this paper we propose a computational efficient two-stage...
Life cycle assessment (LCA) as a decision support tool for evaluating the environmental load of products has been widely used in many fields. However, applying LCA in the building industry is expensive and time consuming. This is due to the complexity of building structure along with a large amount of high-dimensional heterogeneous building data. So far building environmental impact assessment (BEIA)...
In order to predict the intensity of valence and arousal of the terms contained in a blog post we use the text mining subfield such as emotion mining. It is used to infer the opinion or emotion or sentiment and represent the inference result in the form of ordinal states. Here the content of the blog post is first analyzed to identify the relevant content using concept search engine(CSE) and topic...
Cloud computing is an emerging paradigm that provides scalable computing and storage capabilities where resources are accessed on a pay-as-you-go basis. Software as a Service (SaaS) applications are hosted in the cloud and made available as services for tenants' organizations over a network. To achieve reusability in cloud computing, software and hardware resources are shared among multiple tenants...
Various services are now available in the Cloud, ranging from turnkey databases and application servers to high-level services such as continuous integration or source version control. To stand out of this diversity, robustness of service compositions is an important selling argument, but which remains difficult to understand and estimate as it does not only depend on services but also on the underlying...
An integrated modeling platform was developed for assessing the potential release rates of ENMs and their environmental distribution. ENM release rates are estimated via life cycle assessment based approach by tracking the target ENM throughout its life cycle from production to release to the environment. Potential ENM exposure concentrations and mass distribution in the various environmental media...
Many scientific experiments are designed as computational workflows in bioinformatics. However, the amount of data generated increases at every phase of each execution, hindering the identification of the source and the transformation of data. Therefore, it has become necessary to create new tools to store data provenance, mainly which resources and parameters were used to generate the results, among...
This article provides an overview of the challenges of big data, in the aspects of data scale, data heterogeneity, data timeliness, and demand for deep analyzing, in correspondence with four features of big data. It also presents an overview of trends of big data analytics both in theory and technique, with the development of testing benchmark, visualization technology, advanced and mixed architecture,...
Literature is concerned on whether environmental economic regulations hamper or incentivize firm performance, aside from their objectives of pollutant reductions. This paper adds to the discussion the inclusion of the effects of innovation capabilities on performance when a firm confronts environmental economic regulations, which impose limits to the products, processes or services, which are pollutant...
As the development of those Electromyography assisted biodynamic models, the requirements of Electromyography (EMG) signals have become increasingly important. Traditionally, subjects always need whenever experiment need to put into practice. Therefore, the requirements of EMG simulation increased significantly. The traditional method for the simulation of EMG is based on the physiological mechanisms...
In this paper, we will compare several approaches for predicting the quality of entire speech-only or audio-visual telephone calls from subjective judgments or predictions of the quality of individual segments of these calls. The comparison will be done using several databases which have been collected in a test paradigm to simulate conversational structures. The subjective judgments for individual...
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