The global navigation satellite system (GNSS), as a high-time resolution and high-precision measurement technology, has been widely used in the field of deformation monitoring. Owing to influence uncontrollable factors, there are inevitably some abnormal data GNSS monitoring series. Thus, it is necessary detect identify series improve accuracy reliability disaster law analysis warning. Many met...

The cumulative sum (CUSUM) control chart can sensitively detect small-to-moderate shifts in the process mean. average run length (ARL) is a popular technique used to determine performance of chart. Recently, several researchers investigated processes on CUSUM by evaluating ARL using either Monte Carlo simulation or Markov chain. As these methods only yield approximate results, we developed solu...

Members of the ADP-ribosylation factor (Arf) family of small GTP-binding (G) proteins regulate several aspects of membrane trafficking, such as vesicle budding, tethering and cytoskeleton organization. Arf family members, including Arf-like (Arl) proteins have been implicated in several essential cellular functions, like cell spreading and migration. These functions are used by cancer cells to ...

David R. Hansen is Digital Library Fellow at the University of California Berkeley School of Law; e-mail: [email protected]. William M. Cross is Director of the Copyright & Digital Scholarship Center at North Carolina State University; e-mail: [email protected]. Phillip M. Edwards is Instructional Consultant in the Center for Teaching Excellence at Virginia Commonwealth University; e-mail...

OBJECTIVE The present study was conducted to determine the effect of contralateral broadband noise on acoustic reflex latency (ARL). MATERIALS AND METHODS Acoustic reflex latency changes for 10 and 90% on- and off-time acoustic reflexes with contralateral broadband noise were measured in 30 adults with normal hearing. RESULTS The results of the study demonstrate that there was a latency pro...

A fundamentalproblem in learning from observation and interaction with an environment is defining a good representation, that is a representation which captures the underlying structure and functionality of the domain. This chapter discusses an extension of the genetic programming (GP) paradigm based on the idea that subroutines obtained from blocks of good representations act as building block...

in some quality control applications, the quality of a process or a product is described by the relationship between a response variable and one or more explanatory variables, called a profile. moreover, in most practical applications, the qualitative characteristic of a product/service is vague, uncertain and linguistic and cannot be precisely stated. the purpose of this paper is to propose a ...

Adversarial representation learning aims to learn data representations for a target task while removing unwanted sensitive information at the same time. Existing methods model parameters iteratively through stochastic gradient descent-ascent, which is often unstable and unreliable in practice. To overcome this challenge, we adopt closed-form solvers adversary task. We them as kernel ridge regre...