A lightning-fast change

2012 ◽  
Vol 8 (3) ◽  
pp. 179-180 ◽  
Author(s):  
Shaul Mukamel
Keyword(s):  
Fast Change

Creating adaptive predictions for packaging-critical quality parameters using advanced analytics and machine learning

TAPPI Journal ◽  
2019 ◽  
Vol 18 (11) ◽  
pp. 679-689
Author(s):  
CYDNEY RECHTIN ◽  
CHITTA RANJAN ◽  
ANTHONY LEWIS ◽  
BETH ANN ZARKO
Keyword(s):  
Machine Learning ◽  
Real Time ◽  
Predictive Analytics ◽  
Paper Industry ◽  
Quality Parameters ◽  
Fast Change ◽  
The Face ◽  
Model Tuning ◽  
Reducing Costs ◽  
Time Critical

Packaging manufacturers are challenged to achieve consistent strength targets and maximize production while reducing costs through smarter fiber utilization, chemical optimization, energy reduction, and more. With innovative instrumentation readily accessible, mills are collecting vast amounts of data that provide them with ever increasing visibility into their processes. Turning this visibility into actionable insight is key to successfully exceeding customer expectations and reducing costs. Predictive analytics supported by machine learning can provide real-time quality measures that remain robust and accurate in the face of changing machine conditions. These adaptive quality “soft sensors” allow for more informed, on-the-fly process changes; fast change detection; and process control optimization without requiring periodic model tuning. The use of predictive modeling in the paper industry has increased in recent years; however, little attention has been given to packaging finished quality. The use of machine learning to maintain prediction relevancy under everchanging machine conditions is novel. In this paper, we demonstrate the process of establishing real-time, adaptive quality predictions in an industry focused on reel-to-reel quality control, and we discuss the value created through the availability and use of real-time critical quality.

Poverty transitions in severe mental illness: longitudinal analysis of social drift in China, 1994–2015

2021 ◽  
pp. 1-9
Author(s):  
Yue-Hui Yu ◽  
Wei Luo ◽  
Bo Liu ◽  
Wei-Hong Kuang ◽  
Larry Davidson ◽  
...  
Keyword(s):  
Mental Illness ◽  
Severe Mental Illness ◽  
Poverty Rate ◽  
International Classification Of Disease ◽  
Fast Change ◽  
The Social ◽  
Poverty Transitions ◽  
Icd 10 ◽  
Persistent Poverty

Abstract Background Although poverty associated with severe mental illness (SMI) has been documented in many studies, little long-term evidence of social drift exists. This study aimed to unravel the poverty transitions among persons with SMI in a fast change community in China. Methods Two mental health surveys, using the International Classification of Disease (ICD-10), were conducted in the same six townships of Xinjin county, Chengdu, China in 1994 and 2015. A total of 308 persons with SMI identified in 1994 were followed up in 2015. The profiles of poverty transitions were identified and regression modelling methods were applied to determine the predictive factors of poverty transitions. Results The poverty rate of persons with SMI increased from 39.9% to 49.4% in 1994 and 2015. A larger proportion of them had fallen into poverty (27.3%) rather than moved out of it (17.8%). Those persons with SMI who had lost work ability, had physical illness and more severe mental disabilities in 1994, as well as those who had experienced negative changes on these factors were more likely to live in persistent poverty or fall into poverty. Higher education level and medical treatment were major protective factors of falling into poverty. Conclusions This study shows long-term evidence on the social drift of persons with SMI during the period of rapid social development in China. Further targeted poverty alleviation interventions should be crucial for improving treatment and mental recovery and alleviating poverty related to SMI.

scholarly journals Active Fault Diagnosis Based on Stochastic Tests

2008 ◽  
Vol 18 (4) ◽  
pp. 487-496 ◽  
Author(s):  
Niels Poulsen ◽  
Henrik Niemann
Keyword(s):  
Fault Diagnosis ◽  
Change Detection ◽  
Input Signal ◽  
Output Signal ◽  
Active Fault ◽  
Fast Change ◽  
Signal Injection ◽  
Cusum Method ◽  
Cusum Tests ◽  
Auxiliary Input

Active Fault Diagnosis Based on Stochastic TestsThe focus of this paper is on stochastic change detection applied in connection with active fault diagnosis (AFD). An auxiliary input signal is applied in AFD. This signal injection in the system will in general allow us to obtain a fast change detection/isolation by considering the output or an error output from the system. The classical cumulative sum (CUSUM) test will be modified with respect to the AFD approach applied. The CUSUM method will be altered such that it will be able to detect a change in the signature from the auxiliary input signal in an (error) output signal. It will be shown how it is possible to apply both the gain and the phase change of the output signal in CUSUM tests. The method is demonstrated using an example.

scholarly journals Talent Management Dalam Meningkatkan Kinerja Lembaga KSPPS BMT Mitra Sadaya Cabang Purwakarta

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Jalaludin Jalaludin ◽  
Heru Komarujaman
Keyword(s):  
Talent Management ◽  
Time Increase ◽  
Global Era ◽  
Fast Change

Adaptation companies to pass talent management need at global era in view of information current and fast change and then continuous.Human resources with new talent for organization is need to achieve organization success/performance. Organization must time increase and energy to repair performance from new talent. Talent will compete do the best for organization when organization will appreciate the job.

scholarly journals Explosion of Microbubbles Generated by the Alternating Polarity Water Electrolysis

Energies ◽  
2019 ◽  
Vol 13 (1) ◽  
pp. 20 ◽  
Author(s):  
Vitaly B. Svetovoy ◽  
Alexander V. Prokaznikov ◽  
Alexander V. Postnikov ◽  
Ilia V. Uvarov ◽  
George Palasantzas
Keyword(s):  
Spontaneous Combustion ◽  
Water Electrolysis ◽  
Maximum Size ◽  
Critical Value ◽  
Experimental Information ◽  
Qualitative Model ◽  
High Concentration ◽  
Fast Change ◽  
Large Pressure ◽  
Energy Conservation Law

Water electrolysis with a fast change of polarity generates a high concentration of bulk nanobubbles containing H 2 and O 2 gases. When this concentration reaches a critical value, a microbubble pops up, which is terminated quickly in an explosion process. In this paper, we provide experimental information on the phenomenon concentrating on the dynamics of exploding microbubble observed from the top and from the side. An initial bubble with a size of 150 μ m expands to a maximum size of 1200 μ m for 150 μ s and then shrinks in the cavitation process. The sound produced by the event is coming from two sources separated in time: exploding bubble and cavitating bubble. The observed dynamics supports expansion of the bubble with steam but not with H 2 and O 2 mixture. A qualitative model of this puzzling phenomenon proposed earlier is refined. It is demonstrated that the pressure and temperature in the initial bubble can be evaluated using only the energy conservation law for which the driving energy is the energy of the combusted gas. The temperature in the bubble reaches 200 ∘ C that shows that the process cannot be ignited by standard combustion, but the surface-assisted spontaneous combustion agrees well with the observations and theoretical estimates. The pressure in the microbubble varies with the size of the merging nanobubbles and is evaluated as 10–20 bar. Large pressure difference between the bubble and liquid drives the bubble expansion, and is the source of the sound produced by the process. Exploding microbubbles are a promising principle to drive fast and strong micropumps for microfluidic and other applications.

scholarly journals Productivity Change and Decomposition in Taiwan Bakery Enterprise―Evidence from 85 °C Company

2019 ◽  
Vol 11 (24) ◽  
pp. 7077
Author(s):  
Chieh-Wen Chang ◽  
Kun-Shan Wu ◽  
Bao-Guang Chang
Keyword(s):  
Technical Progress ◽  
Malmquist Index ◽  
Productivity Change ◽  
Subtropical Climate ◽  
The Sustainable Development ◽  
Index Model ◽  
The North ◽  
Fast Change ◽  
Total Productivity ◽  
Post Hoc

In recent years, the bakery market has grown rapidly. Alongside its growth and fast change, it is very important to comprehend the productivity change of the bakery industry. Nowadays, effective management is more and more important to ensure the sustainable development of enterprises. Thus, productivity change of 22 self-owned stores of a famous bakery company (85 °C) from 2011 to 2016 was quantitatively analyzed and evaluated by adopting Malmquist index model in this study. Based on the Malmquist index model, the overall mean for total productivity change of 85 °C increased slightly from 2011 to 2016, and the productivity change was easily affected by technical progress. Moreover, the results also show that the north-district self-owned stores (which are located in subtropical climate) have the worst technical progress and total factor productivity change during 2011–2016 period by adopting the non-parametric Kruskal–Wallis and Dunn post-hoc test.

PATH INTEGRAL ON THE EXTREME FIELD CONFIGURATIONS

2011 ◽  
Vol 26 (01) ◽  
pp. 135-148
Author(s):  
V. M. KHATSYMOVSKY
Keyword(s):  
Path Integral ◽  
Hamiltonian Path ◽  
Hamiltonian Formalism ◽  
Tangential Component ◽  
Generalized Function ◽  
Time Axis ◽  
Generalized Coordinates ◽  
Fast Change ◽  
Integral Measure ◽  
Gravity System

The canonical Hamiltonian path integral measure obeys certain rule which relates such measure on the paths defined on the whole time axis to the measures on the paths defined on the regions constituting the time axis. We show that this "gluing" rule can be reproduced without referring to Hamiltonian formalism, by substituting field configurations with arbitrarily fast change of the fields at the boundary points of these regions into action and viewing the path integral in the sense of generalized function. Now the coordinate along which gluing proceeds can be not only the time. The piecewise-flat (simplicial) minisuperspace gravity system is considered. Arbitrarily fast change of the (tangential component of) metric between the two 4-simplices with common 3-face is studied. That is, we generalize piecewise-flat anzats by allowing tangential metric to be function of the distance from the 3-face in the neighborhood of this 3-face. The action is nondegenerate (nonsingular) with respect to these additional generalized coordinates. The rule for gluing the path integral measures on separate 4-simplices is found. The resulting general expression covers a large variety of the measures including those usually used in numerical calculations and allows one to specify the measure in some applications.

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