Search results for "SOFTWARE"
showing 10 items of 7396 documents
Embracing iterations in Quantum software: a vision
2022
In today’s software engineering, iterations, affordable en masse, form an important part of just about any system. However, not all computing resources are cheap to consume. In High-Performance (HPC) and Quantum Computing (QC), executions can consume considerable amounts of energy and time, which is reserved and used even if the very first steps in the process fail. This means that developers must assume a different attitude towards programming, and aim at error-free software before its execution. This is com monly facilitated using simulators, which are commonplace for both HPC and QC. However the fashion developers advance from one tool to another is ad-hoc, with no established software e…
An Automatic Ontology-Based Approach to Support Logical Representation of Observable and Measurable Data for Healthy Lifestyle Management: Proof-of-C…
2020
Background Lifestyle diseases, because of adverse health behavior, are the foremost cause of death worldwide. An eCoach system may encourage individuals to lead a healthy lifestyle with early health risk prediction, personalized recommendation generation, and goal evaluation. Such an eCoach system needs to collect and transform distributed heterogenous health and wellness data into meaningful information to train an artificially intelligent health risk prediction model. However, it may produce a data compatibility dilemma. Our proposed eHealth ontology can increase interoperability between different heterogeneous networks, provide situation awareness, help in data integration, and discover…
TISSBERT: A benchmark for the validation and comparison of NDVI time series reconstruction methods
2018
[EN] This paper introduces the Time Series Simulation for Benchmarking of Reconstruction Techniques (TISSBERT) dataset, intended to provide a benchmark for the validation and comparison of time series reconstruction methods. Such methods are routinely used to estimate vegetation characteristics from optical remotely sensed data, where the presence of clouds decreases the usefulness of the data. As for their validation, these methods have been compared with previously published ones, although with different approaches, which sometimes lead to contradictory results. We designed the TISSBERT dataset to be generic so that it could simulate realistic reference and cloud-contaminated time series …
Team Client Relationships and Extreme Programming
2008
This paper describes a study that examined the relationship between software engineering teams who adhered to the extreme programming (XP) methodology and their project clients. The study involved observing teams working on projects for clients who had commissioned a piece of software to be used in the real world. Interviews were conducted during and at the end of the project to get client opinion on how the project had progressed. Of interest to the researchers were opinions on frequency of feedback, how the team captured requirements, whether or not the iterative approach of XP proved to be helpful, and the level of contextual and software engineering knowledge the client had at the start…
ITKA111 Oliosuuntautunut analyysi ja suunnittelu
2009
An Information Systems Design Theory for Integrated Requirements and Release Management Systems
2009
High-tech companies need to collect and analyze requirements and allocate them to appropriate product releases in market-driven product development. Development activities are typically scattered across multiple sites and involve multiple partners in different countries, complicating requirements and release management. Flexible, scalable, and secure groupware-based support for the activities provides substantial payoffs. Yet, the extant literature provides little theoretical guidance for designing and using requirements and release management systems in multi-site, multi-partner environments. This article develops the meta-requirements and a meta-design of an information systems design the…
Artificial intelligence centric scientific research on COVID-19 : an analysis based on scientometrics data
2023
AbstractWith the spread of the deadly coronavirus disease throughout the geographies of the globe, expertise from every field has been sought to fight the impact of the virus. The use of Artificial Intelligence (AI), especially, has been the center of attention due to its capability to produce trustworthy results in a reasonable time. As a result, AI centric based research on coronavirus (or COVID-19) has been receiving growing attention from different domains ranging from medicine, virology, and psychiatry etc. We present this comprehensive study that closely monitors the impact of the pandemic on global research activities related exclusively to AI. In this article, we produce highly info…
Component search in a metaCASE environment
2001
D.RE.A.M.: A software for uncertainties analysis in retrospective dosimetry
2018
Accidental exposures to ionising radiations are nowadays managed with assistance from biological and physical retrospective dosimetry which are able to provide individual estimates of dose absorbed by victims. The aim of this work is to describe the development of biodosimetry analysis software within the "EURADOS Working Group 10—Retrospective dosimetry" Task group 10.6. Methods The software has been developed in Python code language that is easy to learn, read, use and extensible (it is possible to add new modules). It can implement C/C++/Fortran, Java functions. It is embeddable in applications and is open source. It is extremely portable to Unix/Linux, Windows, Mac operating systems. Th…