Safety Management Pattern for Equipment Complex System

2015 ◽  
Vol 733 ◽  
pp. 968-973
Author(s):  
Jian Wei Feng

In order to improve the inherent safety management level of equipment complex system, based on the fact that present study of inherent safety management ignore the harmonious alternating function between system microcosmic elements, analyzed the basic theory of system harmonious alternating mechanism, put forward a more perfect SHELLOM model, then set up an equipment safety degree model based on harmonious alternating mechanism. After the Definition of inherent safety management, constructed the risk early control model and human safety performance control model of inherent safety management system, and analyzed the safety cost and safety benefit, put forward the notion of safety culture radiation, narrated the relation of safety radiation effect and system harmonious alternating mechanism, provide effective reference for the construct of equipment complex system inherent safety management.

2014 ◽  
Vol 644-650 ◽  
pp. 4814-4818
Author(s):  
Ling Li ◽  
Jun Liu ◽  
Xu Liang Lü ◽  
Ming Xu Sui ◽  
Guo Jing Wu ◽  
...  

In view of the problems in the process of camouflage materials research and development project quality control subjective and management information of materials is unilateral, C2GS2 quality control model was built to improve the scientific management level. By the establishment of index system for quality control, on the basis of the characteristics of its all output index, output-CCR model was set up to evaluate the management level. In order to further improve the information of both radial direction and non-radial detection, we introduced the non-Archimedean infinitesimal to form C2GS2 quality control model. The example shows that the quality control model can significantly improve the level of research and development, it can provide more detailed manage information.


2020 ◽  
Vol 26 (5) ◽  
pp. 1186-1204
Author(s):  
A.V. Fedorov ◽  
Zh.S. Peredera

Subject. The article reviews distinctions of M&A deals in innovation and technology. Objectives. We determine the specifics of innovative and technological companies and its impact on the synergy, process, finance, valuation of M&A deals. Methods. The article employs methods of generalization, comprehensive analysis, systematization, specification, comparison, study into trends and the structure. Graphics and tables are used to display the findings. Results. We conducted the content analysis of the term Mergers & Acquisitions, thus finding the divergence of foreign and the Russian approaches. We provide our own definition of the concept and analyzed the dynamics of the overall M&A market and the innovation and technological sector. The article describes operational distinctions of innovative and technological companies and compares them with conventional sectors. The article determined the specifics of synergy, process, finance, valuation of M&A deals in innovation and technology. Conclusions and Relevance. The innovation and technology sector saw M&A deals become more frequent for the recent five years. What distinguishes them is the number of startups and infant businesses, large M&A deals in order to develop their ecosystems, involve digital technology companies. Traditional approaches should be adapted for structuring M&A deals, their arrangement, financing and valuation of target companies. The findings can lay the groundwork for further studies into the specifics of the innovation and technology sector, M&A deals, and set up the methodological framework for the valuation of innovative and technological companies. The findings can also immediately support parties of M&A deals from theoretical perspectives.


2020 ◽  
Vol 23 (8) ◽  
pp. 906-921
Author(s):  
R.A. Alborov ◽  
S.M. Kontsevaya ◽  
S.V. Kozmenkova

Subject. This article deals with the theory-and practice-relevant issues of classification and content definition of different types of capital used as sources of operations financing, and recommendations for developing their accounting in agricultural organizations. Objectives. The article aims to substantiate the organizational and methodological aspects of capital accounting development to generate information on value reserve and creation of value as new in the organization's integrated reporting. The article also aims to define the classification and content of capital types as sources of financing for the organization's activities and develop recommendations for developing the accounting of the availability, increase, reduction or transformation of the relevant types of capital in the organization's business activities. Methods. For the study, we used the methods of analysis and synthesis, induction and deduction, analogy, and comparison. The scientific works of domestic specialists and regulations, including the International Standard on Integrated Reporting (IR) are the methodological basis of this work. Results. The article defines conceptual provisions and offers practical recommendations on the set-up and development of capital flow accounting in the corporate governance system of the agricultural organization. It clarifies the classification and economic content of capital as a source of funding for the organization's reproduction activities. The article also offers an original method of accounting for the value reserve (balances) and capital changes. Conclusions and Relevance. The practical application of the developed recommendations for value accounting and capital changes will help generate all the necessary information in the integrated reporting of the agricultural organization to assess its reserves of value, create value as new, economic, environmental, and social efficiency of the organization's activities. The results of the study can be used to develop the theory, methodology and techniques of accounting of capital types as sources of financing of value creation as a result of the agricultural organization's business activities.


2021 ◽  
Vol 10 (6) ◽  
pp. 1215
Author(s):  
Aparna Gopalakrishnan ◽  
Jameel Rizwana Hussaindeen ◽  
Viswanathan Sivaraman ◽  
Meenakshi Swaminathan ◽  
Yee Ling Wong ◽  
...  

The aim of this study was to investigate the agreement between cycloplegic and non-cycloplegic autorefraction with an open-field auto refractor in a school vision screening set up, and to define a threshold for myopia that agrees with the standard cycloplegic refraction threshold. The study was conducted as part of the Sankara Nethralaya Tamil Nadu Essilor Myopia (STEM) study, which investigated the prevalence, incidence, and risk factors for myopia among children in South India. Children from two schools aged 5 to 15 years, with no ocular abnormalities and whose parents gave informed consent for cycloplegic refraction were included in the study. All the children underwent visual acuity assessment (Pocket Vision Screener, Elite school of Optometry, India), followed by non-cycloplegic and cycloplegic (1% tropicamide) open-field autorefraction (Grand Seiko, WAM-5500). A total of 387 children were included in the study, of whom 201 were boys. The mean (SD) age of the children was 12.2 (±2.1) years. Overall, the mean difference between cycloplegic and non-cycloplegic spherical equivalent (SE) open-field autorefraction measures was 0.34 D (limits of agreement (LOA), 1.06 D to −0.38 D). For myopes, the mean difference between cycloplegic and non-cycloplegic SE was 0.13 D (LOA, 0.63D to −0.36D). The prevalence of myopia was 12% (95% CI, 8% to 15%) using the threshold of cycloplegic SE ≤ −0.50 D, and was 14% (95% CI, 11% to 17%) with SE ≤ −0.50 D using non-cycloplegic refraction. When myopia was defined as SE of ≤−0.75 D under non-cycloplegic conditions, there was no difference between cycloplegic and non-cycloplegic open-field autorefraction prevalence estimates (12%; 95% CI, 8% to 15%; p = 1.00). Overall, non-cycloplegic refraction underestimates hyperopia and overestimates myopia; but for subjects with myopia, this difference is minimal and not clinically significant. A threshold of SE ≤ −0.75 D agrees well for the estimation of myopia prevalence among children when using non-cycloplegic refraction and is comparable with the standard definition of cycloplegic myopic refraction of SE ≤ −0.50 D.


2010 ◽  
Vol 455 ◽  
pp. 206-210
Author(s):  
Jun Li Liu ◽  
Yan Yan Yan ◽  
G.Q. He

It discusses the reasons of the data transmission time delay and packets loss based on the theory of net data transmission. Aimed to the question of the time delay of data transmission and packets loss, the control system models are set up to analyze their influence to the performance of the control system. Based on the synchronous control model analysis with wireless data transmission, a method to control the system is reached with the state prediction when the communication error or data loss appears. It can control constantly when communication errors appear, and also it can get the most error period by numerical analysis.


Complexity ◽  
2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Songtao Zhang ◽  
Yanting Hou ◽  
Siqi Zhang ◽  
Min Zhang

A new fuzzy robust control strategy for the nonlinear supply chain system in the presence of lead times is proposed. Based on Takagi-Sugeno fuzzy control system, the fuzzy control model of the nonlinear supply chain system with lead times is constructed. Additionally, we design a fuzzy robust H∞ control strategy taking the definition of maximal overlapped-rules group into consideration to restrain the impacts such as those caused by lead times, switching actions among submodels, and customers’ stochastic demands. This control strategy can not only guarantee that the nonlinear supply chain system is robustly asymptotically stable but also realize soft switching among subsystems of the nonlinear supply chain to make the less fluctuation of the system variables by introducing the membership function of fuzzy system. The comparisons between the proposed fuzzy robust H∞ control strategy and the robust H∞ control strategy are finally illustrated through numerical simulations on a two-stage nonlinear supply chain with lead times.


2021 ◽  
Author(s):  
Lorenzo Scandolo ◽  
Stefano Podestà

Abstract The evaluation of structural safety derives from the knowledge of material properties. In case of existent masonry building, the definition of reliable mechanical parameters could be a very difficult task to be achieved. For this reason, an estimation of these values is useful, for example it is the first phase of the knowledge process, for simplified mechanical model or when NTD test is the only possibility.The transversal connection in masonry panels is a technological detail that affects the static and seismic behavior and could significantly increase the strength of the element.In this paper the effect of transversal connection in double-leaf brickwork masonry panels is evaluated by diagonal compression tests. To achieve this goal, a new set-up was designed to load each leaf independently.The results have shown an increment of about 20% in strength if transversal connection is present. If the leaves have very different mechanical parameters, the tests highlight an unexpected behavior.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Serena Cabaro ◽  
Vittoria D’Esposito ◽  
Tiziana Di Matola ◽  
Silvia Sale ◽  
Michele Cennamo ◽  
...  

AbstractIn Europe, multiple waves of infections with SARS-CoV-2 (COVID-19) have been observed. Here, we have investigated whether common patterns of cytokines could be detected in individuals with mild and severe forms of COVID-19 in two pandemic waves, and whether machine learning approach could be useful to identify the best predictors. An increasing trend of multiple cytokines was observed in patients with mild or severe/critical symptoms of COVID-19, compared with healthy volunteers. Linear Discriminant Analysis (LDA) clearly recognized the three groups based on cytokine patterns. Classification and Regression Tree (CART) further indicated that IL-6 discriminated controls and COVID-19 patients, whilst IL-8 defined disease severity. During the second wave of pandemics, a less intense cytokine storm was observed, as compared with the first. IL-6 was the most robust predictor of infection and discriminated moderate COVID-19 patients from healthy controls, regardless of epidemic peak curve. Thus, serum cytokine patterns provide biomarkers useful for COVID-19 diagnosis and prognosis. Further definition of individual cytokines may allow to envision novel therapeutic options and pave the way to set up innovative diagnostic tools.


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