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Institution

Hewlett-Packard

CompanyPalo Alto, California, United States
About: Hewlett-Packard is a company organization based out in Palo Alto, California, United States. It is known for research contribution in the topics: Signal & Substrate (printing). The organization has 34663 authors who have published 59808 publications receiving 1467218 citations. The organization is also known as: Hewlett Packard & Hewlett-Packard Company.


Papers
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Patent
28 Nov 1994
TL;DR: In this article, a task manager for providing personal organization, project management, and process automation capabilities is presented. But the task manager does not provide a hierarchical list of tasks for an individual.
Abstract: A task manager for providing personal organization, project management, and process automation capabilities. The task manager maintains a hierarchical list of tasks for an individual. For each task, notes can be kept, priorities set, and progress tracked. Also, subsets of the task hierarchy can be shared. Every task in the task manager belongs to a class, and each class includes pre-defined automatic actions and manual actions. The pre-defined automatic actions are automatically executed by the task manager when the task is being worked on. The manual actions aid in task execution because the relevant operations (that is, the manual actions) are available when the task is being worked on. The task manager communicates with agents, tools, and process engines via a message system. The agents, tools, and process engine may receive task information from the task manager and may also remotely control the task manager.

337 citations

Journal ArticleDOI
TL;DR: For instance, this paper found that women are more likely than men to maintain kin relationships by e-mail, and women's messages sent to people far away are more filled with personal content and were more likely to be exchanged in intense burst.
Abstract: Do the gender differences found when men and women maintain personal relationships in person and on the phone also emerge when they use electronic mail? Alternately, does e-mail change these ways of interacting? The authors explore the types of relationships women and men maintain by e-mail, differences in their e-mail use locally and at a distance, and differences in the contents of messages they send. The findings are based on qualitative and quantitative data collected during a 4-year period. These data suggest that using e-mail to communicate with relatives and friends replicates preexisting gender differences. Compared to men, women find e-mail contact with friends and family more gratifying. Women are more likely than men to maintain kin relationships by e-mail. They are more likely than men to use e-mail to keep in touch with people who live far away. Women's messages sent to people far away are more filled with personal content and are more likely to be exchanged in intense burst. The fit between women's expressive styles and the features of e-mail seems to be making it especially easy for women to expand their distant social networks.

337 citations

Journal ArticleDOI
TL;DR: In this paper, a simple solution model with Ω=a−bT was used to describe the liquid phase and the solid phase was adequately described using the regular solution model.

336 citations

Proceedings ArticleDOI
01 Jul 2003
TL;DR: The idea of "guaranteed visibility", where highlighted areas are treated as landmarks that must remain visually apparent at all times, is introduced in TreeJuxtaposer, a system designed to support the comparison task for large trees of several hundred thousand nodes.
Abstract: Structural comparison of large trees is a difficult task that is only partially supported by current visualization techniques, which are mainly designed for browsing. We present TreeJuxtaposer, a system designed to support the comparison task for large trees of several hundred thousand nodes. We introduce the idea of "guaranteed visibility", where highlighted areas are treated as landmarks that must remain visually apparent at all times. We propose a new methodology for detailed structural comparison between two trees and provide a new nearly-linear algorithm for computing the best corresponding node from one tree to another. In addition, we present a new rectilinear Focus+Context technique for navigation that is well suited to the dynamic linking of side-by-side views while guaranteeing landmark visibility and constant frame rates. These three contributions result in a system delivering a fluid exploration experience that scales both in the size of the dataset and the number of pixels in the display. We have based the design decisions for our system on the needs of a target audience of biologists who must understand the structural details of many phylogenetic, or evolutionary, trees. Our tool is also useful in many other application domains where tree comparison is needed, ranging from network management to call graph optimization to genealogy.

336 citations

Proceedings ArticleDOI
14 Oct 2007
TL;DR: At the core of Sinfonia is a novel minitransaction primitive that enables efficient and consistent access to data, while hiding the complexities that arise from concurrency and failures.
Abstract: We propose a new paradigm for building scalable distributed systems. Our approach does not require dealing with message-passing protocols -- a major complication in existing distributed systems. Instead, developers just design and manipulate data structures within our service called Sinfonia. Sinfonia keeps data for applications on a set of memory nodes, each exporting a linear address space. At the core of Sinfonia is a novel minitransaction primitive that enables efficient and consistent access to data, while hiding the complexities that arise from concurrency and failures. Using Sinfonia, we implemented two very different and complex applications in a few months: a cluster file system and a group communication service. Our implementations perform well and scale to hundreds of machines.

335 citations


Authors

Showing all 34676 results

NameH-indexPapersCitations
Andrew White1491494113874
Stephen R. Forrest1481041111816
Rafi Ahmed14663393190
Leonidas J. Guibas12469179200
Chenming Hu119129657264
Robert E. Tarjan11440067305
Hong-Jiang Zhang11246149068
Ching-Ping Wong106112842835
Guillermo Sapiro10466770128
James R. Heath10342558548
Arun Majumdar10245952464
Luca Benini101145347862
R. Stanley Williams10060546448
David M. Blei98378111547
Wei-Ying Ma9746440914
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20231
202223
2021240
20201,028
20191,269
2018964