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Cacm Staff

Bio: Cacm Staff is an academic researcher from Association for Computing Machinery. The author has contributed to research in topics: Computer science & The Internet. The author has an hindex of 8, co-authored 105 publications receiving 410 citations.


Papers
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Journal ArticleDOI
TL;DR: A discussion with Vint Cerf, Van Jacobson, Nick Weaver, and Jim Gettys about the development of augmented reality in the 1990s and its role in the design of mobile devices.

106 citations

Journal ArticleDOI
01 Oct 2009
TL;DR: Stanford professor Pat Hanrahan sits down with the noted hedge fund founder, computational biochemist, and (above all) computer scientist to discuss the future of artificial intelligence.
Abstract: Stanford professor Pat Hanrahan sits down with the noted hedge fund founder, computational biochemist, and (above all) computer scientist.

62 citations

Journal ArticleDOI
TL;DR: A study of accuracy, privacy, usability, security, and reliability issues in the information technology industry.
Abstract: A study of accuracy, privacy, usability, security, and reliability issues.

35 citations

Journal ArticleDOI
TL;DR: Recommendation algorithms, online privacy, scientific databases, and programming in introductory computer science classes are discussed.
Abstract: Greg Linden, Jason Hong, Michael Stonebraker, and Mark Guzdial discuss recommendation algorithms, online privacy, scientific databases, and programming in introductory computer science classes.

16 citations

Journal ArticleDOI
TL;DR: A discussion with Jacek Czerwonka, Michaela Greiler, Christian Bird, Lucas Panjer, and Terry Coatta about the development of wearable technology and its applications in the field of medicine.
Abstract: A discussion with Jacek Czerwonka, Michaela Greiler, Christian Bird, Lucas Panjer, and Terry Coatta

15 citations


Cited by
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Journal ArticleDOI
TL;DR: The different technical approaches to the question of what is resilience and how to engineer it in complex adaptive systems are organized around four basic concepts.

469 citations

Journal ArticleDOI
TL;DR: This survey identifies the sensing modalities used in current participatory sensing applications, and assess the threats to user privacy when personal information is sensed and disclosed, and identifies open issues and possible solutions to guarantee user privacy in Participatory sensing.

451 citations

Book ChapterDOI
17 May 2010
TL;DR: Developing a recruitment framework to enable organizers to identify well-suited participants for data collections based on geographic and temporal availability as well as participation habits is discussed.
Abstract: Mobile phones have evolved from devices that are just used for voice and text communication to platforms that are able to capture and transmit a range of data types (image, audio, and location). The adoption of these increasingly capable devices by society has enabled a potentially pervasive sensing paradigm - participatory sensing. A coordinated participatory sensing system engages individuals carrying mobile phones to explore phenomena of interest using in situ data collection. For participatory sensing to succeed, several technical challenges need to be solved. In this paper, we discuss one particular issue: developing a recruitment framework to enable organizers to identify well-suited participants for data collections based on geographic and temporal availability as well as participation habits. This recruitment system is evaluated through a series of pilot data collections where volunteers explored sustainable processes on a university campus.

430 citations

Journal ArticleDOI
TL;DR: A framework within which to locate existing and future research on cloud computing is provided and is supplemented with empirical evidence from interviews with cloud providers and cloud users that were undertaken between 2010 and 2012.
Abstract: Cloud computing has become central to current discussions about corporate information technology. To assess the impact that cloud may have on enterprises, it is important to evaluate the claims made in the existing literature and critically review these claims against empirical evidence from the field. To this end, this paper provides a framework within which to locate existing and future research on cloud computing. This framework is structured around a series of technological and service ‘desires’, that is, characteristics of cloud that are important for cloud users. The existing literature on cloud computing is located within this framework and is supplemented with empirical evidence from interviews with cloud providers and cloud users that were undertaken between 2010 and 2012. The paper identifies a range of research questions that arise from the analysis.

353 citations

Journal ArticleDOI
TL;DR: An overview on Big Data is presented including four issues, namely: concepts, characteristics and processing paradigms of Big data; the state-of-the-art techniques for decision making in Big Data; felicitous decision making applications of Big Data in social science; and the current challenges ofBig Data as well as possible future directions.

203 citations