Knowledge-Based Software Management for the Large Scale Rollout of IIoT Applications

2021 ◽  
Author(s):  
Florian Kintzler ◽  
Stephan Cejka
Keyword(s):  
Large Scale ◽  
Software Management ◽  
Knowledge Based

scholarly journals Occupational exoskeletons: A roadmap toward large-scale adoption. Methodology and challenges of bringing exoskeletons to workplaces

2021 ◽  
Vol 2 ◽  
Author(s):  
Simona Crea ◽  
Philipp Beckerle ◽  
Michiel De Looze ◽  
Kevin De Pauw ◽  
Lorenzo Grazi ◽  
...  
Keyword(s):  
Large Scale ◽  
Health And Safety ◽  
Field Studies ◽  
Specific Work ◽  
Safety Standards ◽  
Knowledge Based ◽  
Scientific Papers ◽  
Large Scale Field ◽  
Standards And Regulations ◽  
Definition Of

Abstract The large-scale adoption of occupational exoskeletons (OEs) will only happen if clear evidence of effectiveness of the devices is available. Performing product-specific field validation studies would allow the stakeholders and decision-makers (e.g., employers, ergonomists, health, and safety departments) to assess OEs’ effectiveness in their specific work contexts and with experienced workers, who could further provide useful insights on practical issues related to exoskeleton daily use. This paper reviews present-day scientific methods for assessing the effectiveness of OEs in laboratory and field studies, and presents the vision of the authors on a roadmap that could lead to large-scale adoption of this technology. The analysis of the state-of-the-art shows methodological differences between laboratory and field studies. While the former are more extensively reported in scientific papers, they exhibit limited generalizability of the findings to real-world scenarios. On the contrary, field studies are limited in sample sizes and frequently focused only on subjective metrics. We propose a roadmap to promote large-scale knowledge-based adoption of OEs. It details that the analysis of the costs and benefits of this technology should be communicated to all stakeholders to facilitate informed decision making, so that each stakeholder can develop their specific role regarding this innovation. Large-scale field studies can help identify and monitor the possible side-effects related to exoskeleton use in real work situations, as well as provide a comprehensive scientific knowledge base to support the revision of ergonomics risk-assessment methods, safety standards and regulations, and the definition of guidelines and practices for the selection and use of OEs.

Institutional Ethnography and Exploring the Social

2021 ◽  
Vol 13 (4) ◽  
pp. 119-140
Author(s):  
Amal Adel Abdrabo
Keyword(s):  
Large Scale ◽  
Institutional Ethnography ◽  
Sociological Perspective ◽  
Knowledge Based ◽  
The Social ◽  
Definition Of ◽  
Egyptian Government ◽  
Global Agenda ◽  
Developmental Policies ◽  
The Relationship

There is a new trend taking place in Egypt over the last decades that is attempting to establish a new culture of development arguing for a knowledge-based development of Egyptian society. Consequently, Egyptian society has begun to witness the emergence of different policies, national strategies, and mega development projects that try to translate these policies into reality. But the question that remains is what type of knowledge, and in which context, should be developed? In this vein, this research serves two purposes. First, it contests the notion of knowledge while using a new method of inquiry that creates an opening for an alternative-more-humanized sociology that opposes the dominant sociological perspective that studies people as quantitative objects. The research uses institutional ethnography to provide new-actor-related insights and interpretations while exploring the social momentum within Egyptian society. Second, the research seeks to investigate the relationship between the desire to transform Egypt into a knowledge-based society through the knowledge precincts projects, following the global agenda, and the creation of a political, social, and cultural environment that allows knowledge to thrive, leading to more social justice and equity. In the end, the research asks: What is the definition of ‘knowledge' provided by the Egyptian government through its different developmental policies? How does it function inside the knowledge precincts projects? It also asks: Does Egypt's commitment to large scale programs through knowledge precincts reveal an authoritarian inclination?

Strategic Ethnography and the Biography of Artefacts

2013 ◽  
pp. 347-376 ◽  
Author(s):  
Neil Pollock ◽  
Robin Williams
Keyword(s):  
Enterprise Resource Planning ◽  
Technology Implementation ◽  
Large Scale ◽  
Resource Planning ◽  
Work Organisation ◽  
Social Scientists ◽  
Knowledge Based ◽  
Enterprise Resource Planning Systems ◽  
Recent Developments

In health research and services, and in many other domains, the authors note the emergence of large-scale information systems intended for long-term use with multiple users and uses. These e-infrastructures are becoming more widespread and pervasive and, by enabling effective sharing of information and coordination of activities between diverse, dispersed groups, are expected to transform knowledge-based work. Social scientists have sought to analyse the significance of these systems and the processes by which they are created. Much current attention has been drawn to the often-problematic experience of those attempting to establish them. By contrast, this chapter is inspired by concerns about the theoretical and methodological weakness of many studies of technology and work organisation—particularly the dominance of relatively short-term, often single site studies of technology implementation. These weaknesses are particularly acute in relation to the analysis of infrastructural technologies. The authors explore the relevance to such analysis of recent developments in what they call the Biography of Artefacts (BoA) perspective—which emphasises the value of strategic ethnography: theoretically-informed, multi-site, and longitudinal studies. They seek to draw insights from a programme of empirical research into the long-term evolution of corporate e-infrastructures (reflected in current Enterprise Resource Planning systems) and review some new conceptual tools arising from recent research into e-Infrastructures (e-Is). These are particularly relevant to understanding the current and ongoing difficulties encountered in attempts to develop large-scale Health Infrastructures.

ICT for Educational Excellence in Jordan

2013 ◽  
pp. 119-135
Author(s):  
Atef Abuhmaid
Keyword(s):  
Private Sector ◽  
Education System ◽  
Large Scale ◽  
Ministry Of Education ◽  
National Interests ◽  
Planning Stage ◽  
Knowledge Based ◽  
Knowledge Based Economy ◽  
External Assistance ◽  
The Impact

This chapter discusses the Jordanian Ministry of Education’s reliance on both the local private sector (public-private partnership) and foreign aids in order to accelerate its integration of ICT to meet the needs and demands of the knowledge-based economy. The discussion sheds light on strings attached to the role played by the Ministry of Education, as the central educational authority, in the diffusion of ICT across the education system. Understandably, in the Jordanian context, likewise other countries in the Middle East and North Africa region, the education system has to deal with a great deal of complexities in which, internal and external issues can impede reform efforts. Partnership with local and international partners might be needed in the Jordanian context in order to initiate reform especially the large-scale and costly ones. ICT-related reform initiatives are expensive and require expertise in various areas which might justify seeking external assistance by the educational system. However, external involvement can impact the integrity of the educational reform when it is left with inadequate coordination and efforts in order to keep them in line with national interests and agendas. Furthermore, the impact of these issues can be severer when they are not taken into account during the planning stage of the reform. Thus, this chapter discusses major issues arose when international partners and the local private sector were involved in ICT-based education initiatives in Jordan.

Pragmatism in Decision Support System Research

2021 ◽  
pp. 1471-1493
Author(s):  
Mohammad Tafiqur Rahman
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Large Scale ◽  
Humanitarian Logistics ◽  
Knowledge Based ◽  
Relief Distribution ◽  
Distribution Process ◽  
Complex Knowledge

Decision making on relief distribution is a complex multidisciplinary task in humanitarian logistics. It incorporates decision makers from different but related problem areas. The failure to perform assigned decision-making tasks in any area makes the entire system unstable and delays the relief distribution process. An organized, well-planned, and practical decision support system (DSS) can assist practitioners in making rapid decisions on delivering relief items. Hence, DSS researchers in humanitarian logistics require rigorous thinking, close and critical analysis, and the identification of challenges to conduct research or validate the generated knowledge properly. To perform such complex knowledge-based tasks, the philosophical understanding of DSS in the humanitarian context is necessary. After analyzing the commonly used philosophical paradigms, this research identifies the pragmatic approach as the adequate support for solving decision-making problems in relief distribution during large-scale disasters.

scholarly journals A knowledge-based framework for the discovery of cancer-predisposing variants using large-scale sequencing breast cancer data

2017 ◽  
Vol 19 (1) ◽  
Author(s):  
Giorgio E. M. Melloni ◽  
Luca Mazzarella ◽  
Loris Bernard ◽  
Margherita Bodini ◽  
Anna Russo ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Large Scale ◽  
Breast Cancer Data ◽  
Cancer Data ◽  
Knowledge Based

scholarly journals Knowledge Graph Construction and Applications for Web Search and Beyond

2019 ◽  
Vol 1 (4) ◽  
pp. 333-349 ◽  
Author(s):  
Peilu Wang ◽  
Hao Jiang ◽  
Jingfang Xu ◽  
Qi Zhang
Keyword(s):  
Search Engine ◽  
Intelligent Systems ◽  
Large Scale ◽  
Web Search ◽  
Question Answering ◽  
Knowledge Graph ◽  
Graph Databases ◽  
Distributed Search ◽  
Knowledge Based ◽  
Dialog System

Knowledge graph (KG) has played an important role in enhancing the performance of many intelligent systems. In this paper, we introduce the solution of building a large-scale multi-source knowledge graph from scratch in Sogou Inc., including its architecture, technical implementation and applications. Unlike previous works that build knowledge graph with graph databases, we build the knowledge graph on top of SogouQdb, a distributed search engine developed by Sogou Web Search Department, which can be easily scaled to support petabytes of data. As a supplement to the search engine, we also introduce a series of models to support inference and graph based querying. Currently, the data of Sogou knowledge graph that are collected from 136 different websites and constantly updated consist of 54 million entities and over 600 million entity links. We also introduce three applications of knowledge graph in Sogou Inc.: entity detection and linking, knowledge based question answering and knowledge based dialog system. These applications have been used in Web search products to help user acquire information more efficiently.

scholarly journals Network Partitioning Domain Knowledge Multiobjective Application Mapping for Large-Scale Network-on-Chip

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Yin Zhen Tei ◽  
Yuan Wen Hau ◽  
N. Shaikh-Husin ◽  
M. N. Marsono
Keyword(s):  
Domain Knowledge ◽  
Large Scale ◽  
Pareto Front ◽  
Mapping Technique ◽  
Network Partitioning ◽  
Application Mapping ◽  
Knowledge Based ◽  
Large Scale Network ◽  
Scale Network ◽  
On Chip

This paper proposes a multiobjective application mapping technique targeted for large-scale network-on-chip (NoC). As the number of intellectual property (IP) cores in multiprocessor system-on-chip (MPSoC) increases, NoC application mapping to find optimum core-to-topology mapping becomes more challenging. Besides, the conflicting cost and performance trade-off makes multiobjective application mapping techniques even more complex. This paper proposes an application mapping technique that incorporates domain knowledge into genetic algorithm (GA). The initial population of GA is initialized with network partitioning (NP) while the crossover operator is guided with knowledge on communication demands. NP reduces the large-scale application mapping complexity and provides GA with a potential mapping search space. The proposed genetic operator is compared with state-of-the-art genetic operators in terms of solution quality. In this work, multiobjective optimization of energy and thermal-balance is considered. Through simulation, knowledge-based initial mapping shows significant improvement in Pareto front compared to random initial mapping that is widely used. The proposed knowledge-based crossover also shows better Pareto front compared to state-of-the-art knowledge-based crossover.

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