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Article
Publication date: 21 April 2020

Mohammed Anouar Naoui, Brahim Lejdel, Mouloud Ayad, Abdelfattah Amamra and Okba kazar

The purpose of this paper is to propose a distributed deep learning architecture for smart cities in big data systems.

Abstract

Purpose

The purpose of this paper is to propose a distributed deep learning architecture for smart cities in big data systems.

Design/methodology/approach

We have proposed an architectural multilayer to describe the distributed deep learning for smart cities in big data systems. The components of our system are Smart city layer, big data layer, and deep learning layer. The Smart city layer responsible for the question of Smart city components, its Internet of things, sensors and effectors, and its integration in the system, big data layer concerns data characteristics 10, and its distribution over the system. The deep learning layer is the model of our system. It is responsible for data analysis.

Findings

We apply our proposed architecture in a Smart environment and Smart energy. 10; In a Smart environment, we study the Toluene forecasting in Madrid Smart city. For Smart energy, we study wind energy foresting in Australia. Our proposed architecture can reduce the time of execution and improve the deep learning model, such as Long Term Short Memory10;.

Research limitations/implications

This research needs the application of other deep learning models, such as convolution neuronal network and autoencoder.

Practical implications

Findings of the research will be helpful in Smart city architecture. It can provide a clear view into a Smart city, data storage, and data analysis. The 10; Toluene forecasting in a Smart environment can help the decision-maker to ensure environmental safety. The Smart energy of our proposed model can give a clear prediction of power generation.

Originality/value

The findings of this study are expected to contribute valuable information to decision-makers for a better understanding of the key to Smart city architecture. Its relation with data storage, processing, and data analysis.

Details

Smart and Sustainable Built Environment, vol. 10 no. 1
Type: Research Article
ISSN: 2046-6099

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Article
Publication date: 1 December 2018

Petros Kavassalis, Harald Stieber, Wolfgang Breymann, Keith Saxton and Francis Joseph Gross

The purpose of this study is to propose a bearer service, which generates and maintains a “digital doppelgänger” for every financial contract in the form of a dynamic…

Abstract

Purpose

The purpose of this study is to propose a bearer service, which generates and maintains a “digital doppelgänger” for every financial contract in the form of a dynamic transaction document that is a standardised “data facility” automatically making important contract data from the transaction counterparties available to relevant authorities mandated by law to request and process such data. This would be achieved by sharing certain elements of the dynamic transaction document on a bearer service, based on a federation of distribution ledgers; such a quasi-simultaneous sharing of risk data becomes possible because the dynamic transaction document maintain a record of state in semi-real time, and this state can be verified by anybody with access to the distribution ledgers, also in semi-real time.

Design/methodology/approach

In this paper, the authors propose a novel, regular technology (RegTech) cum automated legal text approach for financial transaction as well as financial risk reporting that is based on cutting-edge distributed computing and decentralised data management technologies such as distributed ledger (Swanson, 2015), distributed storage (Arner et al., 2016; Chandra et al., 2013; Caron et al., 2014), algorithmic financial contract standards (Brammertz and Mendelowitz, 2014; Breymann and Mendelowitz, 2015; Braswell, 2016), automated legal text (Hazard and Haapio, 2017) and document engineering methods and techniques (Glushko and McGrath, 2005). This approach is equally inspired by the concept of the “bearer service” and its capacity to span over existing and future technological systems and substrates (Kavassalis et al., 2000; Clark, 1988).

Findings

The result is a transformation of supervisors’ capacity to monitor risk in the financial system based on data which preserve informational content of financial instruments at the most granular level, in combination with a mathematically robust time stamping approach using blockchain technology.

Practical implications

The RegTech approach has the potential to contain operational risk linked to inadequate handling of risk data and to rein in compliance cost of supervisory reporting.

Originality value

The present RegTech approach to financial risk monitoring and supervisory reporting is the first integration of algorithmic financial data standards with blockchain functionality.

Details

The Journal of Risk Finance, vol. 19 no. 1
Type: Research Article
ISSN: 1526-5943

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Article
Publication date: 1 February 2018

Kathy Eljiz, David Greenfield, John Molineux and Terry Sloan

Unlocking and transferring skills and capabilities in individuals to the teams they work within, and across, is the key to positive organisational development and improved…

Abstract

Purpose

Unlocking and transferring skills and capabilities in individuals to the teams they work within, and across, is the key to positive organisational development and improved patient care. Using the “deep smarts” model, the purpose of this paper is to examine these issues.

Design/methodology/approach

The “deep smarts” model is described, reviewed and proposed as a way of transferring knowledge and capabilities within healthcare organisations.

Findings

Effective healthcare delivery is achieved through, and continues to require, integrative care involving numerous, dispersed service providers. In the space of overlapping organisational boundaries, there is a need for “deep smarts” people who act as “boundary spanners”. These are critical integrative, networking roles employing clinical, organisational and people skills across multiple settings.

Research limitations/implications

Studies evaluating the barriers and enablers to the application of the deep smarts model and 13 knowledge development strategies proposed are required. Such future research will empirically and contemporary ground our understanding of organisational development in modern complex healthcare settings.

Practical implications

An organisation with “deep smarts” people – in managerial, auxiliary and clinical positions – has a greater capacity for integration and achieving improved patient-centred care.

Originality/value

In total, 13 developmental strategies, to transfer individual capabilities into organisational capability, are proposed. These strategies are applicable to different contexts and challenges faced by individuals and teams in complex healthcare organisations.

Details

Journal of Health Organization and Management, vol. 32 no. 1
Type: Research Article
ISSN: 1477-7266

Keywords

Content available
Article
Publication date: 13 August 2019

Yuejiang Li, H. Vicky Zhao and Yan Chen

With the popularity of the internet and the increasing numbers of netizens, tremendous information flows are generated daily by the intelligently interconnected…

Abstract

Purpose

With the popularity of the internet and the increasing numbers of netizens, tremendous information flows are generated daily by the intelligently interconnected individuals. The diffusion processes of different information are not independent, and they interact with and influence each other. Modeling and analyzing the interaction between correlated information play an important role in the understanding of the characteristics of information dissemination and better control of the information flows. This paper aims to model the correlated information diffusion process over the crowd intelligence networks.

Design/methodology/approach

This study extends the classic epidemic susceptible–infectious–recovered (SIR) model and proposes the SIR mixture model to describe the diffusion process of two correlated pieces of information. The whole crowd is divided into different groups with respect to their forwarding state of the correlated information, and the transition rate between different groups shows the property of each piece of information and the influences between them.

Findings

The stable state of the SIR mixture model is analyzed through the linearization of the model, and the stable condition can be obtained. Real data are used to validate the SIR mixture model, and the detailed diffusion process of correlated information can be inferred by the analysis of the parameters learned through fitting the real data into the SIR mixture model.

Originality/value

The proposed SIR mixture model can be used to model the diffusion of correlated information and analyze the propagation process.

Details

International Journal of Crowd Science, vol. 3 no. 2
Type: Research Article
ISSN: 2398-7294

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Article
Publication date: 3 July 2020

Azra Nazir, Roohie Naaz Mir and Shaima Qureshi

The trend of “Deep Learning for Internet of Things (IoT)” has gained fresh momentum with enormous upcoming applications employing these models as their processing engine…

Abstract

Purpose

The trend of “Deep Learning for Internet of Things (IoT)” has gained fresh momentum with enormous upcoming applications employing these models as their processing engine and Cloud as their resource giant. But this picture leads to underutilization of ever-increasing device pool of IoT that has already passed 15 billion mark in 2015. Thus, it is high time to explore a different approach to tackle this issue, keeping in view the characteristics and needs of the two fields. Processing at the Edge can boost applications with real-time deadlines while complementing security.

Design/methodology/approach

This review paper contributes towards three cardinal directions of research in the field of DL for IoT. The first section covers the categories of IoT devices and how Fog can aid in overcoming the underutilization of millions of devices, forming the realm of the things for IoT. The second direction handles the issue of immense computational requirements of DL models by uncovering specific compression techniques. An appropriate combination of these techniques, including regularization, quantization, and pruning, can aid in building an effective compression pipeline for establishing DL models for IoT use-cases. The third direction incorporates both these views and introduces a novel approach of parallelization for setting up a distributed systems view of DL for IoT.

Findings

DL models are growing deeper with every passing year. Well-coordinated distributed execution of such models using Fog displays a promising future for the IoT application realm. It is realized that a vertically partitioned compressed deep model can handle the trade-off between size, accuracy, communication overhead, bandwidth utilization, and latency but at the expense of an additionally considerable memory footprint. To reduce the memory budget, we propose to exploit Hashed Nets as potentially favorable candidates for distributed frameworks. However, the critical point between accuracy and size for such models needs further investigation.

Originality/value

To the best of our knowledge, no study has explored the inherent parallelism in deep neural network architectures for their efficient distribution over the Edge-Fog continuum. Besides covering techniques and frameworks that have tried to bring inference to the Edge, the review uncovers significant issues and possible future directions for endorsing deep models as processing engines for real-time IoT. The study is directed to both researchers and industrialists to take on various applications to the Edge for better user experience.

Details

International Journal of Intelligent Computing and Cybernetics, vol. 13 no. 3
Type: Research Article
ISSN: 1756-378X

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Article
Publication date: 18 June 2019

Ying Ma, Kang Ping, Chen Wu, Long Chen, Hui Shi and Dazhi Chong

The Internet of Things (IoT) has attracted a lot of attention in both industrial and academic fields for recent years. Artificial intelligence (AI) has developed rapidly…

Abstract

Purpose

The Internet of Things (IoT) has attracted a lot of attention in both industrial and academic fields for recent years. Artificial intelligence (AI) has developed rapidly in recent years as well. AI naturally combines with the Internet of Things in various ways, enabling big data applications, machine learning algorithms, deep learning, knowledge discovery, neural networks and other technologies. The purpose of this paper is to provide state of the art in AI powered IoT and study smart public services in China.

Design/methodology/approach

This paper reviewed the articles published on AI powered IoT from 2009 to 2018. Case study as a research method has been chosen.

Findings

The AI powered IoT has been found in the areas of smart cities, healthcare, intelligent manufacturing and so on. First, this study summarizes recent research on AI powered IoT systematically; and second, this study identifies key research topics related to the field and real-world applications.

Originality/value

This research is of importance and significance to both industrial and academic fields researchers who need to understand the current and future development of intelligence in IoT. To the best of authors’ knowledge, this is the first study to review the literature on AI powered IoT from 2009 to 2018. This is also the first literature review on AI powered IoT with a case study of smart public service in China.

Details

Library Hi Tech, vol. 38 no. 1
Type: Research Article
ISSN: 0737-8831

Keywords

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Book part
Publication date: 5 October 2020

Ayşe Günsel and Mesut Yamen

At the doorsteps of the fourth wave of the industrial revolution, it is compulsory to develop a new understanding regarding the future of human labor based on “Industry…

Abstract

At the doorsteps of the fourth wave of the industrial revolution, it is compulsory to develop a new understanding regarding the future of human labor based on “Industry 4.0” for German manufacturers, and two American concepts: “The Industrial Internet” and “The Internet of Things.” How will the nature of human work be in the digital economy of the forthcoming future? The problem of unemployment and the composition of the labor market, in terms of professional skills, are yet to be waiting for answers. Scientific management is also transforming to answer the emerging requirements of this new era, as “Digital Taylorism” to re-organize work in a techno-centric manner. Accordingly, the aim of this chapter is to examine the nature and the possible opportunities and threats of the digital age and try to develop a digital Taylorism understanding to minimize the negative impacts of digitalism on both individual workers and society in a way that all parts including the manufacturers can fully take the benefit of potential advantages of this new era.

Details

Agile Business Leadership Methods for Industry 4.0
Type: Book
ISBN: 978-1-80043-381-6

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Article
Publication date: 1 February 2005

Jianhua Ma, Laurence T. Yang, Bernady O. Apduhan, Runhe Huang, Leonard Barolli and Mokoto Takizawa

A cyber world (CW) is a digitized world created on cyberspaces inside computers interconnected by networks including the Internet. Following ubiquitous computers, sensors…

Abstract

A cyber world (CW) is a digitized world created on cyberspaces inside computers interconnected by networks including the Internet. Following ubiquitous computers, sensors, e‐tags, networks, information, services, etc., is a road towards a smart world (SW) created on both cyberspaces and real spaces. It is mainly characterized by ubiquitous intelligence or computational intelligence pervasion in the physical world filled with smart things. In recent years, many novel and imaginative researches have been conducted to try and experiment a variety of smart things including characteristic smart objects and specific smart spaces or environments as well as smart systems. The next research phase to emerge, we believe, is to coordinate these diverse smart objects and integrate these isolated smart spaces together into a higher level of spaces known as smart hyperspace or hyper‐environments, and eventually create the smart world. In this paper, we discuss the potential trends and related challenges toward the smart world and ubiquitous intelligence from smart things to smart spaces and then to smart hyperspaces. Likewise, we show our efforts in developing a smart hyperspace of ubiquitous care for kids, called UbicKids.

Details

International Journal of Pervasive Computing and Communications, vol. 1 no. 1
Type: Research Article
ISSN: 1742-7371

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Article
Publication date: 25 October 2019

Daniela Argento, Giuseppe Grossi, Aki Jääskeläinen, Stefania Servalli and Petri Suomala

The purpose of this paper is to explore the role of performance measurement systems as technologies of government in the operationalisation of smart city programmes. It…

Abstract

Purpose

The purpose of this paper is to explore the role of performance measurement systems as technologies of government in the operationalisation of smart city programmes. It answers the research question: how do the development and use of performance measurement systems support smart cities in the achievement of their goals?

Design/methodology/approach

This paper presents a longitudinal case study that uses an interventionist approach to investigate the possibilities and limitations of the use of performance measurement systems as technologies of government in a smart city. Interpretations are theoretically informed by the Foucauldian governmentality framework (Foucault, 2009) and by public sector performance measurement literature.

Findings

The findings address the benefits and criticalities confronting a smart city that introduces new performance measurement systems as a technology of government. Such technologies become problematic tools when the city network is characterised by a fragmentation of inter-departmental processes, and when forms of resistance emerge due to a lack of process owners, horizontal accountability and cooperation among involved parties.

Research limitations/implications

This paper is based on a case study of a single smart city, and outlines the need for both comparative and multidisciplinary analyses in order to analyse the causes and effects of smart city challenges.

Originality/value

This paper offers a critical understanding of the role of accounting in the smart city. The ineffectiveness of performance measurement systems is related to the multiple roles of such technologies of government, which may lead to a temporary paralysis in the achievement of smart city goals and programmes.

Details

Accounting, Auditing & Accountability Journal, vol. 33 no. 1
Type: Research Article
ISSN: 0951-3574

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Book part
Publication date: 11 November 2019

Teresina Torre and Daria Sarti

This chapter aims to build a systematization of the current theoretical and empirical academic contributions on smart working (SW) in the organization studies domain and…

Abstract

This chapter aims to build a systematization of the current theoretical and empirical academic contributions on smart working (SW) in the organization studies domain and to examine which are the main paths that researchers are concerning themselves with, with specific attention being paid to the new meaning that the work itself has acquired in the model proposed by SW. Particular consideration is devoted to an analysis of the characteristics of the present debate on this construct and the meaning of SW, identifying two different – and contrasting – approaches: one considers it as a totally new concept; the other is notable for its continuity with previous arrangements such as telework. Further, some relevant concepts, strictly related to that of SW in working environments are considered. In the last part of the chapter, some key points for further research are proposed to create stimuli for discussion in the community of organization studies and HRM scholars and among practitioners, given from the perspective of deepening the change in progress, the relevance for which there is general consensus.

Details

HRM 4.0 For Human-Centered Organizations
Type: Book
ISBN: 978-1-78973-535-2

Keywords

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