5,856 research outputs found
Control and Filtering for Discrete Linear Repetitive Processes with H infty and ell 2--ell infty Performance
No full textRepetitive processes are characterized by a series of sweeps, termed passes, through a set of dynamics defined over a finite duration known as the pass length. On each pass an output, termed the pass profile, is produced which acts as a forcing function on, and hence contributes to, the dynamics of the next pass profile. This can lead to oscillations which increase in amplitude in the pass to pass direction and cannot be controlled by standard control laws. Here we give new results on the design of physically based control laws for the sub-class of so-called discrete linear repetitive processes which arise in applications areas such as iterative learning control. The main contribution is to show how control law design can be undertaken within the framework of a general robust filtering problem with guaranteed levels of performance. In particular, we develop algorithms for the design of an H? and dynamic output feedback controller and filter which guarantees that the resulting controlled (filtering error) process, respectively, is stable along the pass and has prescribed disturbance attenuation performance as measured by and – norms
C++ const and Immutability: An Empirical Study of Writes-Through-const
No full textThe ability to specify immutability in a programming language is a
powerful tool for developers, enabling them to better understand and
more safely transform their code without fearing unintended changes to program state. The C++ programming language allows developers to
specify a form of immutability using the const keyword. In this work, we characterize the meaning of the C++ const qualifier and present the ConstSanitizer tool, which dynamically verifies a stricter form of immutability than that defined in C++: it identifies const uses that are either not consistent with transitive immutability, that write to mutable fields, or that write to formerly-const objects whose const-ness has been cast away.
We evaluate a set of 7 C++ benchmark programs to find writes-through-const, establish root causes for how they fail to respect our stricter definition of immutability, and assign attributes
to each write (namely: synchronized, not visible, buffer/cache,
delayed initialization, and incorrect). ConstSanitizer finds 17
archetypes for writes in these programs which do not respect our
version of immutability. Over half of these seem unnecessary to us.
Our classification and observations of behaviour in practice
contribute to the understanding of a widely-used C++ language feature
Replication Data for: Computer-Assisted Keyword and Document Set Discovery from Unstructured Text
No full textThe (unheralded) first step in many applications of automated text analysis involves selecting keywords to choose documents from a large text corpus for further study. Although all substantive results depend on this choice, researchers usually pick keywords in ad hoc ways that are far from optimal and usually biased. Most seem to think that keyword selection is easy, since they do Google searches every day, but we demonstrate that humans perform exceedingly poorly at this basic task. We offer a better approach, one that also can help with following conversations where participants rapidly innovate language to evade authorities, seek political advantage, or express creativity; generic web searching; eDiscovery; look-alike modeling; industry and intelligence analysis; and sentiment and topic analysis. We develop a computer-assisted (as opposed to fully automated or human-only) statistical approach that suggests keywords from available text without needing structured data as inputs. This framing poses the statistical problem in a new way, which leads to a widely applicable algorithm. Our specific approach is based on training classifiers, extracting information from (rather than correcting) their mistakes, and summarizing results with easy-to-understand Boolean search strings. We illustrate how the technique works with analyses of English texts about the Boston Marathon Bombings, Chinese social media posts designed to evade censorship, and others
Replication Data for: Computer-Assisted Keyword and Document Set Discovery from Unstructured Text
No full textThe (unheralded) first step in many applications of automated text analysis involves selecting keywords to choose documents from a large text corpus for further study. Although all substantive results depend on this choice, researchers usually pick keywords in ad hoc ways that are far from optimal and usually biased. Most seem to think that keyword selection is easy, since they do Google searches every day, but we demonstrate that humans perform exceedingly poorly at this basic task. We offer a better approach, one that also can help with following conversations where participants rapidly innovate language to evade authorities, seek political advantage, or express creativity; generic web searching; eDiscovery; look-alike modeling; industry and intelligence analysis; and sentiment and topic analysis. We develop a computer-assisted (as opposed to fully automated or human-only) statistical approach that suggests keywords from available text without needing structured data as inputs. This framing poses the statistical problem in a new way, which leads to a widely applicable algorithm. Our specific approach is based on training classifiers, extracting information from (rather than correcting) their mistakes, and summarizing results with easy-to-understand Boolean search strings. We illustrate how the technique works with analyses of English texts about the Boston Marathon Bombings, Chinese social media posts designed to evade censorship, and others
Online supplementary file 1 - Supplemental material for The Impact of Acne Treatment on Skin Bacterial Microbiota: A Systematic Review
No full textSupplemental material, Online supplementary file 1, for The Impact of Acne Treatment on Skin Bacterial Microbiota: A Systematic Review by Megan Lam, Angie Hu, Patrick Fleming and Charles W. Lynde in Journal of Cutaneous Medicine and Surgery</p
REDUCTION OF THE VIBRATION-ROTATION-LAM HAMILTONIAN
No full textAuthor Institution: Department of Physics, Texas Tech UniversityThe vibration-rotation-LAM Hamiltonian requires two independent separation conditions to reduce the Coriolis interaction and the vibration-LAM kinetic energy interaction. In the limit of the LAM approaching a SAM, the effective vibration-rotation Hamiltonian and/or energy must reduce to the usual vibration-rotation Hamiltonian when no internal motion is a LAM. We show how to perform this reduction, especially as it relates to the T-and R-transformations and the normal coordinate transformation
Saana-I/SoundScapeOfFear: February 2022 pre-publication dataset
No full textData and code for our PNAS paper "Behavioral responses to predatory sounds predict sensitivity of cetaceans to anthropogenic noise within a soundscape of fear"
Authors: Patrick J.O. Miller, Saana Isojunno, Eilidh Siegal, Frans-Peter A. Lam, Petter H. Kvadsheim, Charlotte Cur
Soaring like eagles: ASM's high-tech journey in Asia
No full textSoaring Like Eagles: ASM's High-Tech Journey in Asia is an inspiring tale of the phenomenal accomplishment of this company from the perspective of Patrick Lam, ASM's co-founder and CEO of 30 years. The book first traces its growth in three decade-long periods, along with an insider's look at the development of the semiconductor industry. It then examines ASM's success from several angles: its differentiated strategies, its leadership and culture, its innovative practices, its technologies and products, and its preparations from the future
Utility of novel diagnostic tests for tuberculosis using human urine
No full textIncludes abstract.Includes bibliographical references.Two thirds of new TB cases in sub-Saharan Africa are HIV coinfected. HIV-TB co-infection increases the incidence of extra-pulmonary, sputum smear-negative and sputum-scarce TB. In these vulnerable patientgroups with high mortality rates, sputum-based diagnostic tools are unhelpful. Urine-based diagnostics offer an attractive, easily available alternative for rapid diagnosis. We evaluated the point-of-care urine LAM strip test (Determine TB LAM Ag test, Alere) and urine-based Xpert MTB/RIF for TB diagnosis in two patient cohorts with high HIV prevalence. A spot urine sample was collected from two cohorts of persons with suspected TB. The first cohort consisted of ambulatory primary care clinic patients suspected of having TB (group 1) whilst the second comprised hospitalised patients with suspected HIV co-infection (group 2). The urine LAM ELISA, LAM strip test and Xpert MTB/RIF were performed according to the manufacturer’s instructions. In addition, the effects of using an alternative ‘rulein’ cut-point for the urine LAM strip test and a pelleted (2-10ml) urine sample for Xpert MTB/RIF testing on diagnostic accuracy and inter-reader reliability was assessed. The diagnostic reference standard was M. tuberculosis culture positivity
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