From the fluttering fabric of a tent, to the blurred motion of the potter’s wheel, to the rhythm of a horse puppet’s wooden hooves—these scenes make up a set of mid-1980s art exhibitions as part of the U.S. Festival of India. The festival was conceived at a meeting between Indira Gandhi and Ronald Reagan to strengthen relations between the two countries at a time of late Cold War tensions and global economic change, when America’s image of India was as a place of desperate poverty and spectacular fantasy. Displaying Time unpacks the intimate, small-scale durations of time at work in the gallery from the transformation of clay into ceramic to the one-on-one, personal encounters between museum visitors and artists. Using extensive archival research and interviews with artists, curators, diplomats, and visitors, Rebecca Brown analyzes a selection of museum shows that were part of the Festival of India to unfurl new exhibitionary modes: the time of transformation, of interruption, of potential and the future, as well as the contemporary and the now.

What time is it? In this course you will learn how important it is to guard the time. Administrators, as guardians of time synchronization will find many helpful commands to display, modify and set time.

Code and Methods for Creating High-Quality Data Graphics A data graphic is not only a static image, but it also tells a story about the data. It activates cognitive processes that are able to detect patterns and discover information not readily available with the raw data. This is particularly true for time series, spatial, and space-time datasets. Focusing on the exploration of data with visual methods, Displaying Time Series, Spatial, and Space-Time Data with R presents methods and R code for producing high-quality graphics of time series, spatial, and space-time data. Practical examples using real-world datasets help you understand how to apply the methods and code. The book illustrates how to display a dataset starting with an easy and direct approach and progressively adding improvements that involve more complexity. Each of the book’s three parts is devoted to different types of data. In each part, the chapters are grouped according to the various visualization methods or data characteristics. Web Resource Along with the main graphics from the text, the author’s website offers access to the datasets used in the examples as well as the full R code. This combination of freely available code and data enables you to practice with the methods and modify the code to suit your own needs.

Computing time dependent power spectra is an important method for studying nonstationarities in signals. An efficient procedure for computing such spectra and displaying them immediately is requisite for effective application. The method presented is based on a date window which moves along the signal in unit increments. The spectrum is updated for each new sample. All spectra are displayed on a computer graphic terminal and the algorithm was deliberately constructed to make computer graphic display efficient. (Author).

In Show Time, Lee Ann Fujii asks why some perpetrators of political violence, from lynch mobs to genocidal killers, display their acts of violence so publicly and extravagantly. Closely examining three horrific and extreme episodes—the murder of a prominent Tutsi family amidst the genocide in Rwanda, the execution of Muslim men in a Serb-controlled village in Bosnia during the Balkan Wars, and the lynching of a twenty-two-year old Black farmhand on Maryland's Eastern Shore in 1933—Fujii shows how "violent displays" are staged to not merely to kill those perceived to be enemies or threats, but also to affect and influence observers, neighbors, and the larger society. Watching and participating in these violent displays profoundly transforms those involved, reinforcing political identities, social hierarchies, and power structures. Such public spectacles of violence also force members of the community to choose sides—openly show support for the goals of the violence, or risk becoming victims, themselves. Tracing the ways in which public displays of violence unfold, Show Time reveals how the perpetrators exploit the fluidity of social ties for their own ends.

Arduino Date Time Temperature and Humidity Display

An experimental study was made to assess the effectiveness of two techniques for rapid screening to select imagery frames of high military potential and to determine the effects of variations in display time on screening performance. Two samples of image interpreters, each consisting of three matched groups, screened three sets of imagery at three different display time intervals (5, 15, and 25 seconds per frame for Sample 1; 10, 20, and 30 seconds per frame for Sample 2). Each interpreter was instructed to perform two screening functions while scanning each print--(1) annotate on the frame all areas of military activity he detected; and (2) assign to each print a priority rating of High, Medium, or Low to indicate estimated intelligence value of the frame. Interpreter performance under the two methods was compared in terms of accuracy and validity of the annotations and priority ratings across the six screening time intervals. Results of the study definitely favored the priority ratings technique over annotation screening. The ratings, of high accuracy even with short viewing time, improved significantly both in accuracy and in validity with longer display time. Generally, performance was better on the measures which were less complex and showed fewer target areas. Validity of the number of annotations on a frame, generally low, did not vary significantly with display time. More incorrect as well as correct annotations were made, a finding similar to previous BESRL findings for unspeeded interpretation performance.