Safety management system of machine-building production

Chistokletov, Nikolay; Vavilin, Yaroslav Aleksandrovich

doi:10.30765/er.38.2.10

Cited by 2 publications

(1 citation statement)

References 7 publications

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“…The accuracy of the predictive models was assessed using statistical parameters such as the coefficient of determination (R 2 ) and standard errors. These parameters allowed for the analysis and interpretation of empirical data [19]. The model coefficients, their corresponding standard errors (SE), t-statistics (tStat), and p-values were calculated.…”

Section: Methodsmentioning

confidence: 99%

Non-Destructive Determination of Plant Pigments Based on Mobile Phone Data

Vasilev,

Stoykova,

Veleva

et al. 2023

TEM Journal

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This paper proposes methods and tools for determining plant pigments using data from a mobile phone video sensor. A disadvantage of the known studies in this field is that they are mainly aimed at determining the chlorophyll content. There are few studies related to the determination of pigments such as carotenoids, flavonoids, and betalains, which are also important in terms of determining the condition of plants in their cultivation. Cucumbers were chosen because the long periods of drought in Bulgaria, lead to losses in cultivating these plants. Vectors containing colour and spectral indices were used. These features are obtained through a video sensor on a mobile phone. The kernel method variant of principal components reduces them. Feature vectors are selected using factor analysis, correspondence analysis, and the correlation method. Predictive models have been developed to determine plant pigments. With high accuracy (over 90%), the pigments xanthophyll and chlorophyll A can be predicted.

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Section: Methodsmentioning

confidence: 99%

Non-Destructive Determination of Plant Pigments Based on Mobile Phone Data

Vasilev,

Stoykova,

Veleva

et al. 2023

TEM Journal

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Safety integrated with quality management as operational excellence tool in the aviation fuel industry

Adekitan

2020

Eng. rev. (Online)

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Factors such as aircraft design, air traffic control, aviation fuel quality, management policies, etc. are associated with flight safety. Diverse methodologies and systems have been developed for managing these intricate factors. Much focus over time has been on the aircraft itself; the design, pre-flight checks and operational procedures. This study is focused on highlighting how the combination of Safety Management Systems (SMS) and Quality Management Systems (QMS) are deployed in the jet fuel value chain for ensuring the safety of personnel, the integrity of the work process and facility and ultimately the supply of quality and dry on-spec Jet A-1 fuel for into-plane or fuelling operations. For the integrated safety and quality management system (ISQMS) to be effective, all stakeholders must play active roles and show utmost commitment to the ISQMS vision and goals. The management of the fuelling company sets the ISQMS pace and drives the process. The ISQMS incorporates all aspect of the business operations and offers both direct and indirect benefits to the business.

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Safety management system of machine-building production

Cited by 2 publications

References 7 publications

Non-Destructive Determination of Plant Pigments Based on Mobile Phone Data

Non-Destructive Determination of Plant Pigments Based on Mobile Phone Data

Safety integrated with quality management as operational excellence tool in the aviation fuel industry

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