A Review of Digital Transformation in Mining

Young, Aaron; Rogers, W. Pratt

doi:10.1007/s42461-019-00103-w

Cited by 53 publications

(32 citation statements)

References 74 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…According to Young and Rogers (2019) the only rational competitive ability concept at the national level is the production output" It must be noted that "the competitive ability of a specific science depends on the ability of the respective industry to implement innovations and upgrade in the current context". Another point is that "in the context of competition, the efficiency of products and services is based on national and regional environments.…”

Section: Research Resultsmentioning

confidence: 99%

“…As more digital technologies (automation, cameras, sensors, touch screens, artificial intelligence, etc) are introduced, more companies will be forced to use them to obtain extra profits (Young & Rogers, 2019). The digital transformation of the Russian economic system must go beyond the simple introduction of new digital information technologies in all of the economic sectors.…”

Section: Research Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Digital Transformation Of Russian Economy In Contemporary Conditions

Grigoryevna¹,

Valerievna²,

Vitalievna³

et al. 2021

European Proceedings of Social and Behavioural Sciences

View full text Add to dashboard Cite

show abstract

Section: Research Resultsmentioning

confidence: 99%

Section: Research Resultsmentioning

confidence: 99%

Digital Transformation Of Russian Economy In Contemporary Conditions

Grigoryevna¹,

Valerievna²,

Vitalievna³

et al. 2021

European Proceedings of Social and Behavioural Sciences

View full text Add to dashboard Cite

show abstract

“…Otsetova (2019) identifies four main drivers of digital transformation in the postal sector, namely: Automation, digital customer access, connectivity and digital data. Young and Rogers (2019) present 3 essential components of the digital transformation process: Ubiquitous data, connectivity and decision making (Young and Rogers, 2019). These components belong to the general digital transformation approach.…”

Section: Detailed Literature Review Of Existing Digital Transformatiomentioning

confidence: 99%

General Approach for Formulating a Digital Transformation Strategy

Korachi¹,

Bounabat²

2020

Journal of Computer Science

View full text Add to dashboard Cite

To take advantage of information technologies, organizations need to define a clear strategy. Numerous works have provided definitions and phases of digital strategies. Some of these strategies are context-specific, while others deal with the common elements of digital strategies regardless of the digital transformation context. However, these works do not address a holistic approach. This raises ambiguity regarding digital strategy definitions and approaches. To eliminate this ambiguity, the current research tries to take advantage of existing digital strategies to propose a general digital strategy definition and build a general digital transformation approach. This work analyses various digital transformation strategies, to extract and classify their common elements in order to build a general approach that frame and drive the formulation of digital transformation strategies. To define such a general approach, the current paper analyses the effects of IT Governance and Management Strategy on the Digital Transformation Maturity. This analysis identified how IT Governance and Management Strategy can contribute to formulating a digital transformation strategy. Partial Least Square (PLS) was adopted in this research to develop an empirical evaluation for the case of 30 digital strategies and frameworks. Based on this empirical study several results have been presented in this work, namely: determination of a digital strategy definition and identification of a digital strategy approach.

show abstract

“…The device consists of different sensors like gas sensors, load cell sensors, convergence meters, temperature sensors, humidity sensors, air velocity sensors, water level sensors, machine health monitoring sensors, tracking devices, and voice communication devices. The output of the sensors data is feed to digital mine 2 . The IoT‐enable sensors continuously measure different parameters of an underground mine and predict impending hazards.…”

Section: Introductionmentioning

confidence: 99%

Secure decision tree twin support vector machine training and classification process for encrypted IoT data via blockchain platform

Dey

Chaulya

Kumar

2021

Concurrency and Computation

View full text Add to dashboard Cite

A secure decision tree twin support vector machine (DT-TSVM) multi-classification algorithm has been proposed in this paper for improving the reliability and security of the collected IoT data from multiple data providers. The multiclass secure DT-TSVM algorithm has been employed to train a machine learning model using the encrypted training dataset. The training dataset is collected via a blockchain platform.A blockchain method has been adopted to construct a secure and reliable distributed platform among dataset providers. The Paillier homomorphic cryptosystem has been applied for encrypting the IoT dataset. Then, the dataset has been recorded on the distributed ledger. The secure DT-TSVM algorithm's-based train model effectiveness has been compared with the other two available algorithms, namely the multiclass binary support vector machine (MBSVM) and one-to-one SVM algorithms. The experiment results showed that the privacy-preserving multiclass secure DT-TSVM-based model did not reduce the accuracy, but it increased the average precision and recall by 0.53% and 0.44% than MBSVM and 0.82% and 0.71% than one-to-one SVM, respectively. Further, the time consumption of data providers and data analysts did not change significantly with the increase of number of data provider.

show abstract

A Review of Digital Transformation in Mining

Cited by 53 publications

References 74 publications

Digital Transformation Of Russian Economy In Contemporary Conditions

Digital Transformation Of Russian Economy In Contemporary Conditions

General Approach for Formulating a Digital Transformation Strategy

Secure decision tree twin support vector machine training and classification process for encrypted IoT data via blockchain platform

Contact Info

Product

Resources

About