Fuzzy Logic for Underground Mining Method Selection

Palanikkumar, D.; Upreti, Kamal; Venkatraman, S.; Suganthi, J.; Sridharan, Kannan; Srinivasan, Seshadhri

doi:10.32604/iasc.2022.023350

Cited by 25 publications

(4 citation statements)

References 8 publications

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“…For the encryption & decryption both algorithm RSA & ECC we have used the following plain text: "Our research focuses on comparative study of RSA and ECC". Form comparing time analysis of we have used the same plain text for both algorithms [20,21].…”

Section: Results Analysis Of Ecc and Rsamentioning

confidence: 99%

Analysis of Elliptic Curve Cryptography & RSA

Khan,

Upreti,

Alam

et al. 2023

JICTS

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In today’s digital world, the Internet is an essential component of communication networks. It provides a platform for quickly exchanging information among communicating parties. There is a risk of unauthorized persons gaining access to our sensitive information while it is being transmitted. Cryptography is one of the most effective and efficient strategies for protecting our data and it are utilized all around the world. The efficiency of a cryptography algorithm is determined by a number of parameters, one of which is the length of the key. For cryptography, key (public/private) is an essential part. To provide robust security, RSA takes larger key size. If we use larger key size, the processing performance will be slowed. As a result, processing speed will decrease and memory consumption will increase. Due to this, cryptographic algorithms with smaller key size and higher security are becoming more popular. Out of the cryptographic algorithms, Elliptic Curve Cryptography (ECC) provides equivalent level of safety which RSA provides, but it takes smaller key size. On the basis of key size, our work focused on, studied, and compared the efficacy in terms of security among the well-known public key cryptography algorithms, namely ECC (Elliptic Curve Cryptography) and RSA (Rivets Shamir Adelman).

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Section: Results Analysis Of Ecc and Rsamentioning

confidence: 99%

Analysis of Elliptic Curve Cryptography & RSA

Khan,

Upreti,

Alam

et al. 2023

JICTS

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“…At present, underground metal mining methods can be categorized into three distinct groups based on their approach to managing and controlling ground pressure: the caving method, open stope method, and filling method [36][37][38]. In the context of deep and green mining, a discernible shift is taking place in the selection of mining methods for underground metal mines, gradually transitioning from the conventional caving method towards the adoption of the open stope method and filling method [39,40].…”

Section: Stope Design Contentsmentioning

confidence: 99%

Stope Structural Parameters Design towards Green and Deep Mining: A Review

Zhou,

Zhao,

et al. 2023

Processes

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A reliable design of stopes is critical to ensure both safety and efficiency in mining operations. The evolving mining methods and technologies as well as increasing mining depth dictate the need to continually improve stope designs. This paper presents a comprehensive review in order to compare and consolidate various stope design methods. This review covers various aspects of stope design, including design principles, factors to consider, and the diverse range of design methods available. The results led to the classification of various methods encompassing engineering analogies, fundamentals, numerical simulations, and industrial tests. Of particular significance, the review furnishes detailed insights into the research conducted on each method, as well as each method’s practical performance in engineering applications. Furthermore, the review highlights the inherent limitations in current design methods and suggests potential avenues for future research. Finally, by comprehensively considering the functional roles and advantages of each design method, it overcomes the limitations of relying solely on a single method for stope structural parameter design, and a general process is proposed.

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“…El-Sappagh et al [25,26] in 2015 & 2018 proposed a fuzzy ontology-based CBR framework by means of constructing a fuzzy case base OWL2 ontology and a fuzzy semantic retrieval algorithm for semantic diabetes diagnosis. Palanikkumar et al [27] in 2022 presented a fuzzy logic approach, which was used for selecting a mining method for different deposit characteristics. As the underground minerals extraction was a difficult multi criteria decision making problem, the proposed model yielded suitable mining method for minerals extraction at the specified Indian mines and are used by the mine authorities.…”

Section: Architecture Of Ontopvmentioning

confidence: 99%

A Prototype for Diagnosis of Psoriasis in Traditional Chinese Medicine

Long¹,

Wang²,

Cui³

et al. 2022

Computers, Materials &Amp; Continua

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Psoriasis is a chronic, non-communicable, painful, disfiguring and disabling disease for which there is no cure, with great negative impact on patients' quality of life (QoL). Diagnosis and treatment with traditional Chinese medical technique based on syndrome differentiation has been used in practice for a long time and proven effective, though, up to now, there are only a few available studies about the use of semantic technologies and the knowledge systems that use Traditional Chinese Medicine (TCM)-syndrome differentiation for information retrieval and automated reasoning. In this paper we use semantic techniques based on ontologies to develop a prototypical system for the diagnosis of Psoriasis. For this purpose, a domain ontology is developed for syndrome differentiation of psoriasis vulgaris (PV). This ontology is founded on an adapted version of the general formal ontology (GFO), with the evidence-based clinical practice guideline of TCM for psoriasis vulgaris (Guideline 2013) as the primary data sources. The implemented prototype, called ONTOPV, contains this domain ontology and is aimed at a decision support system for diagnosis and treatment of PV. This system uses a case-database for Case Based Reasoning (CBR), combined with fuzzy pattern recognition. Experimental results show that the ONTOPV realizes the basic functionalities of data collection, querying, browsing and navigation, and supports rule-based knowledge reasoning, and integrates fuzzy pattern recognition. It can provide users with clinical decision support for TCM syndrome differentiation in diagnosis of psoriasis.

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Fuzzy Logic for Underground Mining Method Selection

Cited by 25 publications

References 8 publications

Analysis of Elliptic Curve Cryptography & RSA

Analysis of Elliptic Curve Cryptography & RSA

Stope Structural Parameters Design towards Green and Deep Mining: A Review

A Prototype for Diagnosis of Psoriasis in Traditional Chinese Medicine

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