140,843 research outputs found
An Advanced Conceptual Diagnostic Healthcare Framework for Diabetes and Cardiovascular Disorders
The data mining along with emerging computing techniques have astonishingly
influenced the healthcare industry. Researchers have used different Data Mining
and Internet of Things (IoT) for enrooting a programmed solution for diabetes
and heart patients. However, still, more advanced and united solution is needed
that can offer a therapeutic opinion to individual diabetic and cardio
patients. Therefore, here, a smart data mining and IoT (SMDIoT) based advanced
healthcare system for proficient diabetes and cardiovascular diseases have been
proposed. The hybridization of data mining and IoT with other emerging
computing techniques is supposed to give an effective and economical solution
to diabetes and cardio patients. SMDIoT hybridized the ideas of data mining,
Internet of Things, chatbots, contextual entity search (CES), bio-sensors,
semantic analysis and granular computing (GC). The bio-sensors of the proposed
system assist in getting the current and precise status of the concerned
patients so that in case of an emergency, the needful medical assistance can be
provided. The novelty lies in the hybrid framework and the adequate support of
chatbots, granular computing, context entity search and semantic analysis. The
practical implementation of this system is very challenging and costly.
However, it appears to be more operative and economical solution for diabetes
and cardio patients.Comment: 11 PAGE
Generating collaborative systems for digital libraries: A model-driven approach
This is an open access article shared under a Creative Commons Attribution 3.0 Licence (http://creativecommons.org/licenses/by/3.0/). Copyright @ 2010 The Authors.The design and development of a digital library involves different stakeholders, such as: information architects, librarians, and domain experts, who need to agree on a common language to describe, discuss, and negotiate the services the library has to offer. To this end, high-level, language-neutral models have to be devised. Metamodeling techniques favor the definition of domainspecific visual languages through which stakeholders can share their views and directly manipulate representations of the domain entities. This paper describes CRADLE (Cooperative-Relational Approach to Digital Library Environments), a metamodel-based framework and visual language for the definition of notions and services related to the development of digital libraries. A collection of tools allows the automatic generation of several services, defined with the CRADLE visual language, and of the graphical user interfaces providing access to them for the final user. The effectiveness of the approach is illustrated by presenting digital libraries generated with CRADLE, while the CRADLE environment has been evaluated by using the cognitive dimensions framework
A Cognitive Framework to Secure Smart Cities
The advancement in technology has transformed Cyber Physical Systems and their interface with IoT into a more sophisticated and challenging paradigm. As a result, vulnerabilities and potential attacks manifest themselves considerably more than before, forcing researchers to rethink the conventional strategies that are currently in place to secure such physical systems. This manuscript studies the complex interweaving of sensor networks and physical systems and suggests a foundational innovation in the field. In sharp contrast with the existing IDS and IPS solutions, in this paper, a preventive and proactive method is employed to stay ahead of attacks by constantly monitoring network data patterns and identifying threats that are imminent. Here, by capitalizing on the significant progress in processing power (e.g. petascale computing) and storage capacity of computer systems, we propose a deep learning approach to predict and identify various security breaches that are about to occur. The learning process takes place by collecting a large number of files of different types and running tests on them to classify them as benign or malicious. The prediction model obtained as such can then be used to identify attacks. Our project articulates a new framework for interactions between physical systems and sensor networks, where malicious packets are repeatedly learned over time while the system continually operates with respect to imperfect security mechanisms
Experiments of posture estimation on vehicles using wearable acceleration sensors
In this paper, we study methods to estimate drivers' posture in vehicles
using acceleration data of wearable sensor and conduct a field test. Recently,
sensor technologies have been progressed. Solutions of safety management to
analyze vital data acquired from wearable sensor and judge work status are
proposed. To prevent huge accidents, demands for safety management of bus and
taxi are high. However, acceleration of vehicles is added to wearable sensor in
vehicles, and there is no guarantee to estimate drivers' posture accurately.
Therefore, in this paper, we study methods to estimate driving posture using
acceleration data acquired from T-shirt type wearable sensor hitoe, conduct
field tests and implement a sample application.Comment: 4 pages, 4 figures, The 3rd IEEE International Conference on Big Data
Security on Cloud (BigDataSecurity 2017), pp.14-17, Beijing, May 201
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A strategic framework for e-government adoption in public sector organisations
E-government has been recognized as a change agent for public sector reform. Through this change, the public sector
organisation plans to increase operating efficiencies, build information-sharing partnerships and improve communication
with other organisations, as well as with the public. Several studies have discussed how e-government will transform public
sector organisations from traditional paper-based systems to electronic delivery that leads self-service operations that develop
efficiently managed internal business process. However, a number of voids exist in the immature e-government literature,
regarding its adoption strategy and process.
This paper looks at the implementation aspect of e-government in public sector organisations. The paper critically reviews the
issues of e-government adoption and identifies factors that affect the implementation process, such as, technical,
organisational, and environmental. In addition, the authors discuss the benefits and barriers that might influence the decision
making process toward the adoption of e-government in public sector. Since, e-government is an emerging research area,
there is limited literature explaining the framework of e-government adoption. Therefore, this study suggests a strategic
framework for e-government adoption that will assist decision makers in public sector organisations to support their egovernment
adoption strategy and guide the IT developers for implementation process of e-government project
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