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Keyword: WorkflowA Cloud Telemedicine Platform Based on Workflow Management System: A Review of an Italian Case Study
The paper aims to describe a new technological and organizational approach in order to manage teleconsultation and telemonitoring processes involving a Physician, who remotely interacts with one or more Specialists, in order to evaluate and discuss the specific clinical conditions of a patient, based primarily on the sharing of digital clinical data, reports and diagnostic…
Read MorePlummeting Makespan by Proficient Workflow Scheduling in Cloud Environment
Cloud is an Internet-based computing technology in which on-demand shared resources such as software, platforms, repositories, and information are delivered to customers. In the emerging era of computing cloud environment provide the use of resources with the concept of virtualization. Workflow of the tasks has vital role for the improvement of computing performance which leads…
Read MoreDesign of Platform to Support Workflow Continuity in Multi-Device Applications
Nowadays, the Internet has become an indispensable tool for the realization and continuity of activity at a different time, place, and technological context (e.g., mobile, pc, tablet), so that interaction techniques through the use of multi-device support have become of great interest. From this perspective, continuity in interactions is an essential concept in the face…
Read MoreConceptual Architecture for the Continuity if Workflow in Activities on Multi-Devices: Case Study Co-Kitchen
Nowadays, the realization and follow-up of a team activity takes place in different execution environments (e.g. mobile phone, PC) through the use of computer applications. This implies context changes that generate interruptions in the activity. To improve the continuity of an activity with the reduction of interruptions during the development of this activity, would help…
Read MoreSimilarity-based Resource Selection for Scientific Workflows in Cloud Computing
There are high expectations for commercial cloud services as an economical computation resource when executing scientific computing workflows, for which the computation is increasing on a daily basis. However, no method has been developed for determining whether a scientific computing workflow can be executed at a low usage cost, and thus scientists have difficulty in…
Read MoreTowards an Efficient Federated Cloud Service Selection to Support Workflow Big Data Requirements
Cloud Computing is considered nowadays an attractive solution to serve the Big Data storage, processing, and analytics needs. Given the high complexity of Big Data workflows and their contingent requirements, a single cloud provider might not be able alone to satisfy these needs. A multitude of cloud providers that offer myriad of cloud services and…
Read MoreOptimization of Sheet Material Layout in Industrial Production Using Genetic Algorithms
We address irregular polygon nesting on sheet materials with a lightweight evolutionary framework that operates directly in the layout space. The method formalizes multi-term fitness combining utilization, overlap penalties, spacing regularity, and local alignment, with all components normalized before aggregation. Feasibility is enforced by an AABB– SAT pipeline and validated via analytic ground-truth cases, degenerate…
Read MoreDesign Optimization of Open Office Building Form for Thermal Energy Performance using Genetic Algorithm
Consideration of building energy performance in the early stage of the design process is very important to help minimizing energy consumed by the built environment. Therefore, help in minimizing energy crisis problem. Optimization of building form and orientation at the early stage of the design process can save a significant amount of energy consumed by…
Read MoreTowards a Documents Processing Tool using Traceability Information Retrieval and Content Recognition Through Machine Learning in a Big Data Context
In 1980, an application was developed to track, manage and store documents in electronic format. Scan technology has enabled organizations to digitize papers for easier document storage and tracking. Document management tools have since developed by introducing new functionalities, related to security, users services, workflow and audit. Our research is part of the context of…
Read MoreInterpretation of Machine Learning Models for Medical Diagnosis
Machine learning has been dramatically advanced over several decades, from theory context to a general business and technology implementation. Especially in healthcare research, it is obvious to perceive the scrutinizing implementation of machine learning to warranty the rewarded benefits in early disease detection and service recommendation. Many practitioners and researchers have eventually recognized no absolute…
Read MoreSpot Toyota: Design and Development of a Mobile Application for Toyota’s Promotion Actions to the Young Audience
This project aims to demonstrate the importance that digital media can have to the development of loyalty programs, namely in creating empathy and proximity relationships between brands and their target audience: young people. This study consisted of the creation of a digital platform for Toyota Portugal, named Spot Toyota, to communicate actions promoted by the…
Read MoreProductify News Article Classification Model with Sagemaker
News companies have a need to automate and make the process of writing about popular and new events more effective. Current technologies involve robotic programs that fill in values in templates and website listeners that notify editors when changes are made so that the editor can read up on the source change on the actual…
Read MoreThe Chimera and the Cyborg
High Performance Computing (HPC) systems offer excellent metrics for speed and efficiency when using bare metal hardware, a high speed interconnects, and massively parallel applications. However, this leaves out a significant portion of scientific computational tasks, namely high throughput computing tasks that can be trivially parallelized and scientific workflows that require their own well-defined software…
Read MoreA Proposed Architecture for Parallel HPC-based Resource Management System for Big Data Applications
Big data can be considered to be at the forefront of the present and future research activities. The volume of data needing to be processed is growing dramatically in both velocity and variety. In response, many big data technologies have emerged to tackle the challenges of collecting, processing and storing such large-scale datasets. High-performance computing…
Read Morecv4sensorhub – A Multi-Domain Framework for Semi-Automatic Image Processing
Although there are many research domains with very good software support and workflow automation, there are even more which do not have it: software development is too expensive to create domain specific applications for every research topic. This leaves many domain experts to work for example with general purpose image processing and statistics tools. Many…
Read MoreWhich User of technology? Perspectivising the UTAUT model by application of the SFL language Pronoun System towards a systems perspective of technology acceptance and use
This study applies systemic functional linguistics (SFL) as complementary framework of analysis of technology acceptance models (TAMs). The purpose is to bridge research methodology language in international business (IB) studies and engineering management science. Currently TAMs and its consolidated version, the Unified Theory of Acceptance and Use of Technology (UTAUT) provides for a typology of…
Read MoreOn the Performance of a Clustering-based Task Scheduling in a Heterogeneous System
Recent task scheduling algorithms for a generalized workflow job in heterogeneous system adopt list-based scheduling. In those algorithms, the response time cannot be effectively reduced if the given workflow job is data-intensive. If the workflow job is computationally intensive, an attempt is made to assign tasks to many processors, which can lead to resource starvation.…
Read MoreOperational Efficiencies and Simulated Performance of Big Data Analytics Platform over Billions of Patient Records of a Hospital System
Big Data Analytics (BDA) is important to utilize data from hospital systems to reduce healthcare costs. BDA enable queries of large volumes of patient data in an interactively dynamic way for healthcare. The study objective was high performance establishment of interactive BDA platform of hospital system. A Hadoop/MapReduce framework was established at University of Victoria…
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