<i>Quantifying agricultural data generation on Wisconsin farms: A case study</i>

2018 ◽  
Author(s):  
Jessica L Drewry ◽  
Brian D Luck ◽  
John M Shutske ◽  
David D Trechter
Keyword(s):  
Data Generation

scholarly journals MODEL-BASED DESIGN OF AM COMPONENTS TO ENABLE DECENTRALIZED DIGITAL MANUFACTURING SYSTEMS

2021 ◽  
Vol 1 ◽  
pp. 2127-2136
Author(s):  
Olivia Borgue ◽  
John Stavridis ◽  
Tomas Vannucci ◽  
Panagiotis Stavropoulos ◽  
Harry Bikas ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Manufacturing Systems ◽  
Production Systems ◽  
Data Generation ◽  
Production Networks ◽  
Model Based ◽  
Manufacturing Technologies ◽  
Am Processes ◽  
Final Consumer

AbstractAdditive manufacturing (AM) is a versatile technology that could add flexibility in manufacturing processes, whether implemented alone or along other technologies. This technology enables on-demand production and decentralized production networks, as production facilities can be located around the world to manufacture products closer to the final consumer (decentralized manufacturing). However, the wide adoption of additive manufacturing technologies is hindered by the lack of experience on its implementation, the lack of repeatability among different manufacturers and a lack of integrated production systems. The later, hinders the traceability and quality assurance of printed components and limits the understanding and data generation of the AM processes and parameters. In this article, a design strategy is proposed to integrate the different phases of the development process into a model-based design platform for decentralized manufacturing. This platform is aimed at facilitating data traceability and product repeatability among different AM machines. The strategy is illustrated with a case study where a car steering knuckle is manufactured in three different facilities in Sweden and Italy.

scholarly journals Práticas de letramento e whatsapp: estudo de caso no contexto de português como língua de acolhimento, à luz da perspectiva ecológica

2021 ◽  
Vol 2 (3) ◽  
pp. 218-237
Author(s):  
Rosyanne Louise Autran Lourenço ◽  
Eliana Barbosa dos Santos
Keyword(s):  
Learning Process ◽  
Literacy Practices ◽  
Qualitative Case Study ◽  
Participant Observation ◽  
Ecological Perspective ◽  
Data Generation ◽  
Field Notes ◽  
Teaching Learning ◽  
Refugee Immigrants

Este artigo visa a apresentar, sob uma perspectiva ecológica de letramento, resultados da análise de práticas sociodiscursivas do processo de ensino-aprendizagem de Português Língua de Acolhimento, de imigrantes refugiados no Brasil, realizadas por meio do WhatsApp. Teoricamente, o estudo circunscreve-se às dimensões analíticas de letramento (MOREAU et al., 2013), sob a perspectiva ecológica dos estudos linguísticos (VAN LIER, 2004, 2010), fundamentando-se em pressupostos referentes aos recursos multimodais das tecnologias digitais (LEFFA, 2006; MORAN, 2013) e à função mediadora da linguagem (VIGOTSKI, 1971), em especial, do Português Língua de Acolhimento (BARBOSA; SÃO BERNARDO, 2017) e de suas implicações referentes à noção de afetividade (LEITE, 2012). Metodologicamente, trata-se de estudo qualitativo de caso (STAKE, 1994), de base etnográfica virtual (SANTOS; GOMES, 2013) cuja geração dos dados ocorreu por meio de observação participante (BOGDAN; BIKLEN, 1998) e notas de campo (FETTERMAN, 1998). Sua relevância reside na urgência no processo de imersão de imigrantes refugiados em práticas sociodiscursivas que viabilizem a obtenção de condições mínimas de vida digna e a garantia de autonomia em sua agência no país de destino (COSTA; TAÑO, 2018). Os resultados da pesquisa sugerem que a abordagem ecológica de práticas de letramento em ambiente virtual amplia a compreensão das articulações inerentes ao processo de ensino-aprendizagem de línguas, propiciando ao docente melhores condições de promover a autonomia dos estudantes, em contexto de imigração, na condução de soluções que atendam às suas necessidades mais prementes, voltadas para as práticas sociais de imersão no país de chegada.   This article aims to present, in the light of an ecological perspective of literacy, the results of the analysis of sociodiscursive practices of the teaching-learning process of Portuguese as a Host Language, through WhatsApp by refugee immigrants in Brazil. Theoretically, the study is limited to the ecological perspective of linguistic studies (VAN LIER, 2004, 2010) and analytical literacy dimensions (MOREAU ET AL., 2013) based on assumptions regarding the multimodal resources of digital technologies (LEFFA, 2006; MORAN, 2013) and the mediating function of language (VIGOTSKI, 2009) in particular the Portuguese Host Language (BARBOSA; SÃO BERNARDO, 2017) and its implications regarding the notion of affectivity (LEITE, 2012). Methodologically, it is a qualitative case study (STAKE, 1994) with a virtual ethnographic basis (SANTOS; GOMES, 2013) whose data generation occurred through participant observation (BOGDAN; BIKLEN, 1998) and field notes (FETTERMAN, 1998). Its relevance resides in the urgency in the process of refugee immigrants sociodiscursive practices that make it possible to obtain minimum conditions of dignified life and guarantee autonomy at their agency in the destination country (COSTA; TAÑO, 2018). The research results suggest that the ecological approach to literacy practices in a virtual environment broadens the understanding of the articulations inherent to the language teaching-learning process, providing the teacher better conditions to promote the autonomy of the students in the context of immigration, in driving solutions that meet their pressing sociodiscursive needs, focused on social immersion practices in the country of arrival.

A case study for block-based linked data generation: Recipes as jigsaw puzzles

2019 ◽  
Vol 46 (3) ◽  
pp. 419-433 ◽  
Author(s):  
Övünç Öztürk ◽  
Tuğba Özacar
Keyword(s):  
Linked Data ◽  
Heterogeneous Systems ◽  
Data Repository ◽  
Data Generation ◽  
Text Input ◽  
Ontology Language ◽  
Data Generator ◽  
System Usability Scale ◽  
The Masses

This article is a proof-of-concept case study to evaluate the functionality of a block metaphor–based linked data generator. In this work, we chose to produce linked data repository of recipes, which provide a medium for people to share their regional and healthy recipes with the masses. However, the same approach can also be adapted easily to other domains. Therefore, the applicability of our approach extends well beyond the food domain that we are considering in this article. As a medium for information sharing and understanding between heterogeneous systems, ontologies will play an important role in the realisation of the Internet of things (IoT) vision. Therefore, an ontology-based recipe repository would also be one of the basic blocks of a smart kitchen environment. However, building ontologies is a challenging task, especially for users who are not conversant in the ontology building languages. This article proposes an approach that can be used even by non-experts and facilitates the sharing and searching of recipe data. In our case, we exploit the features of the block paradigm to publish recipes in Linked Data format. In this way, users do not have to know the OWL (Web Ontology Language) syntax and the text input is kept minimal. As far as we know, this article is the first study that produces linked data using Blockly in the literature. We also conducted a user-based evaluation of the proposed approach using the System Usability Scale (SUS) questionnaire.

The collective consumption network

2014 ◽  
Vol 24 (6) ◽  
pp. 545-564 ◽  
Author(s):  
Elina Närvänen ◽  
Evert Gummesson ◽  
Hannu Kuusela
Keyword(s):  
Social Relations ◽  
Participant Observation ◽  
Case Study Research ◽  
Weak Links ◽  
Data Generation ◽  
Content Type ◽  
Face To Face ◽  
Heterogeneous Consumption

Purpose – The purpose of this paper is to introduce a network perspective to the study of collective consumption. The authors examine the characteristics of heterogeneous consumption collectives formed around a Finnish footwear brand. The case is both theoretically and practically relevant. It differs from previous research by featuring consumer grassroot activities, face-to-face interaction and strong pre-existing social relationships. Design/methodology/approach – Qualitative case study research was conducted with different methods of data generation including interviews, participant observation and cultural materials such as newspaper articles and photos. Findings – A new concept of collective consumption network is introduced. Five kinds of consumption collectives are identified, including place focussed, brand focussed, activity focussed, idea focussed and social relations focussed consumption collectives. The strength of ties as well as the role of the brand varies within the collectives. Practical implications – Suppliers should find an appropriate network position, where they can enable and support shared value creation. Developing skills to identify and cultivate weak links as well as mobilize resources are important. Originality/value – The findings illustrate the heterogeneity and complexity of collective consumption. In particular, the paper discusses the way self-organizing and emergent consumption collectives and the supplier interact and integrate resources within the network.

scholarly journals Comparative Analysis of Open Source Digital Library Softwares: A Case Study

2018 ◽  
Vol 38 (5) ◽  
pp. 361 ◽  
Author(s):  
Lakshmi Verma ◽  
Nishant Kumar
Keyword(s):  
Open Source ◽  
Communication Technology ◽  
Digital Library ◽  
Data Generation ◽  
Management Software ◽  
Library Management ◽  
Subsequent Transformation ◽  
Library Users ◽  
Information And Communication

<div class="page" title="Page 1"><div class="layoutArea"><div class="column"><p><span>The exponential growth in data generation and subsequent transformation into knowledge has created huge repositories of knowledge in the libraries. This has revolutionalised the methods and techniques to retrieve the relevant and useful information for the users. The growth of Information and communication technology (ICT) has facilitated into achieving this. In this paper, a study of three open-source digital library management software has been presented which collects and disseminates information for library-users. This analysis involves the study and comparison of related software documents and respective technical manuals. Based on the results of the comparison, the implementation of Digtial Library Management Software at DESIDOC has also been dealt in details. </span></p></div></div></div>

scholarly journals Automated lattice data generation

2018 ◽  
Vol 175 ◽  
pp. 09009 ◽  
Author(s):  
Venkitesh Ayyar ◽  
Daniel C. Hackett ◽  
William I. Jay ◽  
Ethan T. Neil
Keyword(s):  
Data Generation ◽  
Lattice Data ◽  
Workflow Manager

The process of generating ensembles of gauge configurations (and measuring various observables over them) can be tedious and error-prone when done “by hand”. In practice, most of this procedure can be automated with the use of a workflow manager. We discuss how this automation can be accomplished using Taxi, a minimal Python-based workflow manager built for generating lattice data. We present a case study demonstrating this technology.

Test Suite Optimization Using Firefly and Genetic Algorithm

2022 ◽  
pp. 1635-1651
Author(s):  
Abhishek Pandey ◽  
Soumya Banerjee
Keyword(s):  
Genetic Algorithm ◽  
Software Engineering ◽  
Software Testing ◽  
Hybrid Approach ◽  
Empirical Evaluation ◽  
Data Generation ◽  
Testing Environment ◽  
Novel Approach ◽  
Test Suite Optimization

Software testing is essential for providing error-free software. It is a well-known fact that software testing is responsible for at least 50% of the total development cost. Therefore, it is necessary to automate and optimize the testing processes. Search-based software engineering is a discipline mainly focussed on automation and optimization of various software engineering processes including software testing. In this article, a novel approach of hybrid firefly and a genetic algorithm is applied for test data generation and selection in regression testing environment. A case study is used along with an empirical evaluation for the proposed approach. Results show that the hybrid approach performs well on various parameters that have been selected in the experiments.

scholarly journals Data Mining Algorithms on Prediction of Cardiovascular Diseases

2019 ◽  
Vol 8 (3) ◽  
pp. 4846-4853
Keyword(s):  
Data Mining ◽  
Unstructured Data ◽  
Healthcare Sector ◽  
Market Segment ◽  
Data Generation ◽  
Data Mining Algorithms ◽  
Wide Range ◽  
Enormous Amount ◽  
Mining Algorithms

In the age of data generation known as Big Data, where data is produced in enormous amount, managing it has become a big challenge and along with this drawing information from the gathered data is equally important and challenging. Inferring relationships and predicting patterns from theses structured and unstructured data is now an area of research for researchers. And the data mining techniques have evolved as a tool for generating results and deducing conclusions. These mining algorithms find their applicability in almost every domain likewise understanding market segment, fraud detection, trend analysis, healthcare sector, education sector and many more. Looking at the wide range of applicability, in this paper, a brief overview of data mining algorithms is discussed. This discussion comprises of different data mining algorithms, their mathematical modelling, their evaluation methods, and their limitations. To support the fact a case study is conducted on a cardiovascular disease dataset and the measures of these mining techniques are compared.

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