Institution
Stevens Institute of Technology
Education•Hoboken, New Jersey, United States•
About: Stevens Institute of Technology is a education organization based out in Hoboken, New Jersey, United States. It is known for research contribution in the topics: Cognitive radio & Wireless network. The organization has 5440 authors who have published 12684 publications receiving 296875 citations. The organization is also known as: Stevens & Stevens Tech.
Papers published on a yearly basis
Papers
More filters
••
TL;DR: How three systems of types well known to systems engineers can be understood as complex systems are shown, based on a variety of sources, and the application of complex systems to one of the examples is shown.
Abstract: This paper shows how three systems of types well known to systems engineers can be understood as complex systems. This is important because research in complex systems sciences is vibrant and provides critical insight, but if systems engineers do not understand the complex aspects of the systems they work with daily, they may not be able to use these research results. To date, systems engineering has been looking only at exploiting the “order” side of the order-to-chaos spectrum, and it is time now to understand and begin to utilize principles from the middle and from the chaos side of the spectrum. Three complex systems examples are INCOSE, the systems engineering process (such as a company's standard process), and air traffic control. INCOSE represents most volunteer organizations and social groups. Most systems engineers do not realize that the systems engineering process for a company is a network that can be studied by complex systems methods. Air traffic control may come closest to many systems engineers' definition of a system. This paper provides principles of complex systems based on a variety of sources, and shows the application of complex systems to one of the examples. © 2008 Wiley Periodicals, Inc. Syst Eng
143 citations
••
TL;DR: In this paper, the authors examined the effects of peer feedback on subsequent behavior using a four-dimensional model of team behavior and found that participants rated themselves and each other using a 24-item behavioral observation scale after completing the first of two decision-making tasks.
Abstract: We examined the effects of peer feedback on subsequent behavior using a four-dimensional model of team behavior. Participants (N= 75) were randomly assigned to teams, and teams were randomly assigned to one of three experimental conditions: feedback, exposure, or control. In the feedback condition, participants rated themselves and each other using a 24-item behavioral observation scale after completing the first of two decison-making tasks. Before performing the second task, they received individualized feedback reports summarizing their self- and peer ratings. Those assigned to the exposure condition completed the behavioral observation scale after the first task but did not receive feedback. The second task was videotaped and rated by experts blind to experimental condition. Results showed significantly higher ratings for participants in the feedback and exposure conditions. The findings extend previous research on multisource feed-back by isolating exposure to key behaviors as an important variable in...
143 citations
••
07 Aug 2006TL;DR: It is argued that most of the proposed work is at an early stage and there is still a long way to go before a middleware that fully meets the wide variety of WSN requirements is achieved.
Abstract: Given the fast growing technological progress in microelectronics and wireless communication devices, in the near future, it is foreseeable that Wireless Sensor Networks (WSN) will offer and make possible a wide range of applications. However real world integration and application development on such networks composed of tiny, low power and limited resources devices are not easy. Therefore, middleware services are a novel approach offering many possibilities and drastically enhancing the application development on WSN. This survey shows the current state of research in this domain. It discusses middleware challenges in such networks and presents some representative middleware specifically designed for WSN. The selection of the studied methods tries to cover as many views of objectives and approaches as possible. We will focus on discovering similarities and differences by making classifications, comparisons and appropriateness studies. At the end we argue that most of the proposed work is at an early stage and there is still a long way to go before a middleware that fully meets the wide variety of WSN requirements is achieved.
143 citations
••
TL;DR: Graphene-based conductive nanofibrous scaffolds are explored with the possibility of combining the conductive properties of graphene with electrospun nanofiber to create the electroactive biomimetic scaffolds for nerve tissue regeneration.
143 citations
••
TL;DR: Incorporation of chitosan in PCL nanofibers not only improved the adhesion and proliferation of MC 3T3-E1 cells but also elevated calcium deposition, alkaline phosphatase (ALP) activity, and the expression of osteopontin (OPN) compared to PCL alone nan ofibers.
143 citations
Authors
Showing all 5536 results
Name | H-index | Papers | Citations |
---|---|---|---|
Paul M. Thompson | 183 | 2271 | 146736 |
Roger Jones | 138 | 998 | 114061 |
Georgios B. Giannakis | 137 | 1321 | 73517 |
Li-Jun Wan | 113 | 639 | 52128 |
Joel L. Lebowitz | 101 | 754 | 39713 |
David Smith | 100 | 994 | 42271 |
Derong Liu | 77 | 608 | 19399 |
Robert R. Clancy | 77 | 293 | 18882 |
Karl H. Schoenbach | 75 | 494 | 19923 |
Robert M. Gray | 75 | 371 | 39221 |
Jin Yu | 74 | 480 | 32123 |
Sheng Chen | 71 | 688 | 27847 |
Hui Wu | 71 | 347 | 19666 |
Amir H. Gandomi | 67 | 375 | 22192 |
Haibo He | 66 | 482 | 22370 |