As IoT technology grows, several different payment methods are available now. NFC (Near Field Communication) as a short-range communication technology has been applied in many fields, such as contactless payment and e...
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engineering cell factories that support the production of large quantities of protein therapeutics remains a significant biomanufacturing challenge. The overexpression of secretory proteins causes proteotoxic stress, ...
Wind energy is a rising renewable energy source that plays an important role in the transition to a more sustainable energy system. Variation in wind power generation is one of the main challenges facing this energy s...
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Oxidative stress, characterized by an imbalance between reactive oxygen species (ROS) and antioxidants, plays a pivotal role in inflammatory responses associated with both chronic diseases and acute injuries. In this ...
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Purpose - The purpose of this paper is to propose a framework of decision making to aid practitioners in modeling and optimization experimental data for improvement quality of industrial processes, reinforcing idea th...
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Purpose - The purpose of this paper is to propose a framework of decision making to aid practitioners in modeling and optimization experimental data for improvement quality of industrial processes, reinforcing idea that planning and conducting data modeling are as important as formal ***/methodology/approach - The paper presents an application was carried out about the modeling of experimental data at mining company, with support at Catholic University from partnership projects. The literature seems to be more focussed on the data analysis than on providing a sequence of operational steps or decision support which would lead to the best regression model given for the problem that researcher is confronted with. The authors use the concept of statistical regression technique called generalized linear ***/value - An essential point is that the study is based on the feedback from practitioners and industrial managers, which makes the analyses and conclusions from practical points of view, without relevant theoretical knowledge of relationship among the process variables. Regression model has its own characteristics related to response variable and factors, and misspecification of the regression model or their components can yield inappropriate inferences and erroneous experimental *** - The authors analyze the relevant case study in mining company, based on best statistical regression models. Starting from this analysis, the results of the industrial case study illustrates the strong relationship of the improvement process with the presented framework approach into practice. Moreover, the case study consolidating a fundamental advantage of regression models: modeling guided provides more knowledge about products, processes and technologies, even in unsuccessful case *** limitations/implications - The study advances in regression model for data modeling are applicable in several types of industrial processes and phenom
This paper discusses the development of an expert system based on axis orientation of the parts in a three dimensional system. For any part fed to a machine cell, the material handling planning system presents the par...
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This paper discusses the development of an expert system based on axis orientation of the parts in a three dimensional system. For any part fed to a machine cell, the material handling planning system presents the part to the assembly robot in the desired orientation. Group Technology classification and coding method is used for part identification, as well as for the feeding mechanism design.
The multivariate Spatiooral data challenges the analysts along the navigation and exploration of the information, using Data Analytics techniques. We present SPLORT, as a user-centered web-based solution for segmented...
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This paper investigates the stability properties of second-order systems. \dot{x} = f(x) , where f(x) contains either quadratic terms-system (1)-or linear and quadratic terms-system (2)-in x . The principal contributi...
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This paper investigates the stability properties of second-order systems. \dot{x} = f(x) , where f(x) contains either quadratic terms-system (1)-or linear and quadratic terms-system (2)-in x . The principal contributions are summarized in two theorems which give necessary, and sufficient conditions for stability and asymptotic stability in the large of systems (1) and (2), respectively.
作者：
GILBERT, EGHA, IJDepartment of AeroSpace Engineering
Robot Systems Division University of Michigan Ann Arbor MI USA Computer
Information and Control Engineering Program Robot Systems Division College of Engineering University of Michigan Ann Arbor MI USA
A control problem involving a mechanical system with generalized coordinates q ∈ R m is considered. The error in tracking a desired input y d ∈ R p is e = E (q,y d )∈ R m . If E satisfies simple conditions, ...
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A control problem involving a mechanical system with generalized coordinates q ∈ R m is considered. The error in tracking a desired input y d ∈ R p is e = E (q,y d )∈ R m . If E satisfies simple conditions, it leads to a nonlinear control law that assures e (t)→0 as t →∞. The law is robust in that small changes in it do not produce large steady-state errors or loss of stability. In this theory a unified framework is presented for treating a number of problems in the control of mechanical manipulators.
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