scholarly journals Projecting real world into CrowdIntell network: a methodology

2019 ◽  
Vol 3 (2) ◽  
pp. 138-154
Author(s):  
Shipeng Wang ◽  
Lizhen Cui ◽  
Lei Liu ◽  
Xudong Lu ◽  
Qingzhong Li

Purpose The purpose of this paper is to build cyber-physical-psychological ternary fusion crowd intelligence network and realize comprehensive, real, correct and synchronous projection in cyber–physical–psychological ternary fusion system. Since the network of crowd intelligence is the future interconnected network system that takes on the features of large scale, openness and self-organization. The Digital-selfs in the network of crowd intelligence interact and cooperate with each other to finish transactions and achieve co-evolution eventually. Design/methodology/approach To realize comprehensive, real, correct and synchronous projection between cyber–physical–psychological ternary fusion system, the authors propose the rules and methods of projection from real world to the CrowdIntell Network. They build the mental model of the Digital-self including structure model and behavior model in four aspects: identity, provision, demand and connection, thus forming a theoretical mental model framework of Digital-self. Findings The mental model is excepted to lay a foundation for the theory of modeling and simulation in the research of crowd science and engineering. Originality/value This paper is the first one to propose the mental model framework and projection rules and methods of Digital-selfs in network of crowd intelligence, which lays a solid foundation for the theory of modeling, simulation, intelligent transactions, evolution and stability of CrowdIntell Network system, thus promoting the development of crowd science and engineering.

2020 ◽  
Vol 4 (1) ◽  
pp. 2-16
Author(s):  
Xia Yao ◽  
Hongbo Sun ◽  
Baode Fan

Purpose The purpose of this paper is to aim mainly at social public decision-making problems, studies the corresponding relationship between different voting rule combinations and the final results, and discusses the quantitative relationships between group intelligence (final votes) and individual intelligence (everyone) to defend democracy under the circumstance of rapid development of network technology, and crowd intelligence becomes more complicated and universal. Design/methodology/approach After summarizing the crowd co-decisions of related studies, the standards, frameworks, techniques, methods and tools have been discussed according to the characteristics of large-scale simulations. Findings The contributions of this paper will be useful for both academics and practitioners for formulating VV&A in large-scale simulations. Originality/value This paper will help researchers solve the social public decision-making problems in large-scale simulations.


2017 ◽  
Vol 23 (3) ◽  
pp. 703-720 ◽  
Author(s):  
Daniel Bumblauskas ◽  
Herb Nold ◽  
Paul Bumblauskas ◽  
Amy Igou

Purpose The purpose of this paper is to provide a conceptual model for the transformation of big data sets into actionable knowledge. The model introduces a framework for converting data to actionable knowledge and mitigating potential risk to the organization. A case utilizing a dashboard provides a practical application for analysis of big data. Design/methodology/approach The model can be used both by scholars and practitioners in business process management. This paper builds and extends theories in the discipline, specifically related to taking action using big data analytics with tools such as dashboards. Findings The authors’ model made use of industry experience and network resources to gain valuable insights into effective business process management related to big data analytics. Cases have been provided to highlight the use of dashboards as a visual tool within the conceptual framework. Practical implications The literature review cites articles that have used big data analytics in practice. The transitions required to reach the actionable knowledge state and dashboard visualization tools can all be deployed by practitioners. A specific case example from ESP International is provided to illustrate the applicability of the model. Social implications Information assurance, security, and the risk of large-scale data breaches are a contemporary problem in society today. These topics have been considered and addressed within the model framework. Originality/value The paper presents a unique and novel approach for parsing data into actionable knowledge items, identification of viruses, an application of visual dashboards for identification of problems, and a formal discussion of risk inherent with big data.


2019 ◽  
Vol 3 (1) ◽  
pp. 63-86 ◽  
Author(s):  
Yanan Wang ◽  
Jianqiang Li ◽  
Sun Hongbo ◽  
Yuan Li ◽  
Faheem Akhtar ◽  
...  

Purpose Simulation is a well-known technique for using computers to imitate or simulate the operations of various kinds of real-world facilities or processes. The facility or process of interest is usually called a system, and to study it scientifically, we often have to make a set of assumptions about how it works. These assumptions, which usually take the form of mathematical or logical relationships, constitute a model that is used to gain some understanding of how the corresponding system behaves, and the quality of these understandings essentially depends on the credibility of given assumptions or models, known as VV&A (verification, validation and accreditation). The main purpose of this paper is to present an in-depth theoretical review and analysis for the application of VV&A in large-scale simulations. Design/methodology/approach After summarizing the VV&A of related research studies, the standards, frameworks, techniques, methods and tools have been discussed according to the characteristics of large-scale simulations (such as crowd network simulations). Findings The contributions of this paper will be useful for both academics and practitioners for formulating VV&A in large-scale simulations (such as crowd network simulations). Originality/value This paper will help researchers to provide support of a recommendation for formulating VV&A in large-scale simulations (such as crowd network simulations).


Author(s):  
Sylva Girtelschmid ◽  
Matthias Steinbauer ◽  
Vikash Kumar ◽  
Anna Fensel ◽  
Gabriele Kotsis

Purpose – The purpose of this article is to propose and evaluate a novel system architecture for Smart City applications which uses ontology reasoning and a distributed stream processing framework on the cloud. In the domain of Smart City, often methodologies of semantic modeling and automated inference are applied. However, semantic models often face performance problems when applied in large scale. Design/methodology/approach – The problem domain is addressed by using methods from Big Data processing in combination with semantic models. The architecture is designed in a way that for the Smart City model still traditional semantic models and rule engines can be used. However, sensor data occurring at such Smart Cities are pre-processed by a Big Data streaming platform to lower the workload to be processed by the rule engine. Findings – By creating a real-world implementation of the proposed architecture and running simulations of Smart Cities of different sizes, on top of this implementation, the authors found that the combination of Big Data streaming platforms with semantic reasoning is a valid approach to the problem. Research limitations/implications – In this article, real-world sensor data from only two buildings were extrapolated for the simulations. Obviously, real-world scenarios will have a more complex set of sensor input values, which needs to be addressed in future work. Originality/value – The simulations show that merely using a streaming platform as a buffer for sensor input values already increases the sensor data throughput and that by applying intelligent filtering in the streaming platform, the actual number of rule executions can be limited to a minimum.


2018 ◽  
Vol 2 (2) ◽  
pp. 106-120 ◽  
Author(s):  
Mahalingam Ramkumar

Purpose The purpose of this paper is to examine the blockchain as a trusted computing platform. Understanding the strengths and limitations of this platform is essential to execute large-scale real-world applications in blockchains. Design/methodology/approach This paper proposes several modifications to conventional blockchain networks to improve the scale and scope of applications. Findings Simple modifications to cryptographic protocols for constructing blockchain ledgers, and digital signatures for authentication of transactions, are sufficient to realize a scalable blockchain platform. Originality/value The original contributions of this paper are concrete steps to overcome limitations of current blockchain networks.


2020 ◽  
Vol 21 (3) ◽  
pp. 575-592 ◽  
Author(s):  
Margarita Pacis ◽  
Robert VanWynsberghe

Purpose The purpose of this paper is to posit that a key sustainability tool can help provide a needed guide for the many forms of new curricula for academic, public and professional learning communities. The authors demonstrate that key sustainability competency (KSC) research can highlight and provide an array of learning outcomes that can be back cast to co-design flexible, detailed curriculum, pedagogy, practice and assessment structures. They also briefly outline the connection of KSC to education for sustainability (EfS) to provide the educational basis for designing and facilitating classrooms that contribute directly to the sustainability movement. Design/methodology/approach This paper is a review of literature with a specific focus on Glasser's (2018b) promising use of the tree as an analogy and metaphor for KSCs. Findings Some, for example, Glasser and Hirsh (2016) claim significant progress in identifying a KSC framework (Wiek et al., 2011) However, the authors raise concerns about the impasse that the literature has demonstrated because these stand in the way of the co-creation of sustainable societies by adjusting how we learn and interact with the world. The authors argue that we must realize and disrupt the destructive actions that form their usual approach and replace them with sustainable habits (Glasser, 2018a), and this requires the emergence of a new class of sustainability practitioners with the skills, attitudes and dispositions that are consistent with being wise, future-oriented, interdisciplinary and global decision-makers (Biasutti, 2015; Biasutti and Frate, 2016; Corney and Reid, 2007; McNaughton, 2012; Scoullos, 2013). Research limitations/implications Using Glasser’s metaphor, the authors assert a process through which the future sustainability practitioner might shift their values and understanding such that their habits and norms shift to create a new, sustainable way of being. The practitioner might demonstrate the competencies of implementing transformative change, modelling sustainable behaviour and wise decision-making. The competency of “empathy, mindfulness and social learning” implies critical reflection on one’s actions in comparison to their social context. Thus, reflection at this stage (tree branches and fruits) could create transformation that shifts one’s values and commitments (tree roots); the cyclical process could potentially begin again. Practical implications An adaptive and flexible framework of KSC could provide learning benefits by building the capacity for learners to think critically and tackle complex sustainability problems in novel ways (Brown, 2017; Glasser and Hirsh, 2016; Sterling et al., 2017; United Nations Educational, Scientific and Cultural Organization (UNESCO) 2017; Vare and Scott, 2007). Innovation and knowledge generation are possible since the KSC could teach “students how to think, rather than what to think, while letting [them] apply this thinking to real-world sustainability problems” (Wiek and Kay, 2015, p. 29). Through the KSC, people could also learn how to transform knowledge into action in their communities (Sterling et al., 2017, p. 160) and create real-world change. This is important, since unsustainable habits that comprise the “business-as-usual” case must be replaced with life-affirming actions and facilitate a new way of being in the world. After all, “[g]ood ideas with no ideas on how to implement them are wasted ideas” (Scott, 2013, p. 275). Social implications The authors have asserted that the implementation of the KSC could have social benefits because its associated pedagogies aim to actively involve learners in transforming society. The sequence sees the individuals’ reflecting upon and evaluating one’s growth vis-à-vis KSC and promotes the development of learning and other habits that betters ones’ competencies (Rieckmann, 2012). Such reflection and empathy are more likely to be inherent to people who contribute to their own learning about the need to be truly compassionate for each other and the planet (Glasser and Hirsh, 2016). In achieving this level of empathy, it is a relatively simple matter then to understand that technology and policy alone are not adequately able to facilitate large-scale and positive change; unsustainability is a problem created by human action and therefore must be counteracted with theories of and solutions to unsustainable behaviours. Integrating a responsive KSC tool into higher education could help build the capacities, capabilities, competencies and eventually mastery and habits of mind and body that give rise to sustainable well-being societies. Originality/value The authors summarize and critique the KSC literature with an eye to creating a flexible and adaptive tool for individuals to chart their own path towards being a sustainability practitioner. The conceptual work herein is the first of its kind, and it will assist program who wish to accentuate contextual factors and individual learning objectives into their design.


2022 ◽  
Vol 13 (1) ◽  
pp. 1-22
Author(s):  
Hongting Niu ◽  
Hengshu Zhu ◽  
Ying Sun ◽  
Xinjiang Lu ◽  
Jing Sun ◽  
...  

Recent years have witnessed the rapid development of car-hailing services, which provide a convenient approach for connecting passengers and local drivers using their personal vehicles. At the same time, the concern on passenger safety has gradually emerged and attracted more and more attention. While car-hailing service providers have made considerable efforts on developing real-time trajectory tracking systems and alarm mechanisms, most of them only focus on providing rescue-supporting information rather than preventing potential crimes. Recently, the newly available large-scale car-hailing order data have provided an unparalleled chance for researchers to explore the risky travel area and behavior of car-hailing services, which can be used for building an intelligent crime early warning system. To this end, in this article, we propose a Risky Area and Risky Behavior Evaluation System (RARBEs) based on the real-world car-hailing order data. In RARBEs, we first mine massive multi-source urban data and train an effective area risk prediction model, which estimates area risk at the urban block level. Then, we propose a transverse and longitudinal double detection method, which estimates behavior risk based on two aspects, including fraud trajectory recognition and fraud patterns mining. In particular, we creatively propose a bipartite graph-based algorithm to model the implicit relationship between areas and behaviors, which collaboratively adjusts area risk and behavior risk estimation based on random walk regularization. Finally, extensive experiments on multi-source real-world urban data clearly validate the effectiveness and efficiency of our system.


2014 ◽  
Author(s):  
Andrew D. Ogle ◽  
Carlie D. Trott ◽  
Silvia Sara Canetto

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 1588-P ◽  
Author(s):  
ROMIK GHOSH ◽  
ASHOK K. DAS ◽  
AMBRISH MITHAL ◽  
SHASHANK JOSHI ◽  
K.M. PRASANNA KUMAR ◽  
...  

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 2258-PUB
Author(s):  
ROMIK GHOSH ◽  
ASHOK K. DAS ◽  
SHASHANK JOSHI ◽  
AMBRISH MITHAL ◽  
K.M. PRASANNA KUMAR ◽  
...  

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