Safety Assessment of an On Board Inert Gas Generating System

Gabriel, Okafor Ekene; Youchao, Sun; Lü, Zhong

doi:10.2174/187221212799436736

Cited by 6 publications

(1 citation statement)

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“…Text clustering uses the concept of similarity to divide the text into meaningful clusters and thus perform clustering operations on samples, with the aim of speeding up text retrieval and improving retrieval accuracy. With the rapid development of machine language learning technology, economics text research is mostly done by technical means [3], text clustering is the most important tool for text retrieval, and text clustering has become an important direction in the eld of economics text research. Since economics texts are characterized by a large amount of data, strict speci cation and data diversity, and the connotations of economics words vary greatly in di erent contexts [4], traditional clustering methods cannot solve the problems of sparse data and the semantics behind the implied words, and it is even more impossible to e ectively determine the existence of synonyms and polysemous words in economics texts [5].…”

Section: Introductionmentioning

confidence: 99%

Text Clustering and Economic Analysis of Free Trade Zone Governance Strategies Based on Random Matrix and Subject Analysis

Meng

2022

Mathematical Problems in Engineering

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The steps of generating basic data by the LDA model and calculating text by the weighted algorithm have a good effect on text clustering. In this paper, the LDA topic model is used to effectively improve the accuracy of strategy text clustering. FTZ economics text clustering simulates FTA economics text data and economic data, imports economics and economic figures and word lists, and uses the traditional vector space model for factor representation. After that, the text vectors are independent of each other, ignoring the semantic relationship, which affects the clustering analysis results. A Chinese text clustering algorithm based on semantic clustering is proposed. Based on the principle of cooccurrence and semantic relevance of words, the algorithm uses the collocation vector of feature words to construct semantic clustering; find the document vector with embedded semantic information. Finally, document vectors with embedded semantic information are used. Finally, K vector is used for cluster analysis. The simulation analysis in this paper shows that the economic growth of the free trade zone is the largest under the economics guidance, which can reach 15%.

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Section: Introductionmentioning

confidence: 99%

Text Clustering and Economic Analysis of Free Trade Zone Governance Strategies Based on Random Matrix and Subject Analysis

Meng

2022

Mathematical Problems in Engineering

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Oxidation of n-hexane in the vicinity of the auto-ignition temperature

Mével

Rostand

Lemarié

et al. 2019

Fuel

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The present study examines the possibility of inerting flammable mixtures (making the mixtures non-explosive/non-flammable) using a long duration thermal process close to but below the auto-ignition temperature. Experiments were performed in a stainless steel cell and a Pyrex cell. A Mid-IR FTIR spectrometer, a UV-Vis spectrometer and several IR laser diodes were employed to monitor the gas-phase composition. Experiments were performed for n-hexane-air mixtures with Φ=0.67-1.35. The temperature and pressure were T=420-500 K and P=37-147 kPa. Experiments were performed over period of up to 7200 s. At temperatures close to 420 K, the chemical activity is characterized by a slow and constant reaction rate. At temperatures close to 500 K, the reaction proceeds in two-phases: 1) rapid production of CO 2 , CO and carbonyls, identified as hydroperoxy-ketones, followed by 2) a period of slower production of CO 2 and H 2 O and consumption of hydroperoxy-ketones. At the end of the thermal treatment, the possibility of igniting the mixtures using a large hot surface (representative of low-temperature ignition source) and a stationary concentrated hot surface (representative of high-temperature ignition source) was tested. The low-temperature flammability was verified by rapidly increasing the temperature of the test cell wall whereas the high-temperature flammability was verified by turning on a glow plug. The inerting strategy seems effective in

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