Institution
University of Bridgeport
Education•Bridgeport, Connecticut, United States•
About: University of Bridgeport is a education organization based out in Bridgeport, Connecticut, United States. It is known for research contribution in the topics: Wireless sensor network & Key distribution in wireless sensor networks. The organization has 1008 authors who have published 1639 publications receiving 22740 citations.
Topics: Wireless sensor network, Key distribution in wireless sensor networks, Chiropractic, Cloud computing, Wireless network
Papers published on a yearly basis
Papers
More filters
••
01 May 2015TL;DR: Scalable and efficient Medium Access Control (SE-MAC) protocol is introduced for WSNs to reduce the communication delay time, channel delay time and control delays caused by acknowledgment packets, request-to-send (RTS), clear-to -send (CTS) etc.
Abstract: Scalable and efficient Medium Access Control (MAC) protocol has been of the paramount significance for boosting the performance of wireless sensor networks (WSNs). In this paper, scalable and efficient medium access control (SE-MAC) protocol is introduced for WSNs. The Goal of SE-MAC is to reduce the communication delay time, channel delay time and control delays caused by acknowledgment packets, request-to-send (RTS), clear-to-send (CTS) etc. Thus, reducing the delays, SE-MAC incorporates the adaptable application independent aggregation (AAIA) model to achieve the expected goals. Furthermore, SE-MAC is supported with handoff process feature, which helps extend the network lifetime. AAIA model for SE-MAC plays a role of cross-layering that extensively reduces the different delays incurred at MAC sub-layer and network layer. Evaluation of SE-MAC is conducted using network simulator-2 (NS2) then compared with known MAC protocols: Zebra medium access control (Z-MAC), receiver-initiated asynchronous duty cycle MAC (RI-MAC) and an energy-efficient multi-channel mac (Y-MAC). Based on the initial Simulation results, we demonstrate that SE-MAC protocol saves extra 9.8–15% time and energy resources for channel delays as compared with other MAC protocols.
6 citations
••
TL;DR: In this article, an optical microscope has been adapted for 3D inspection of small capillaries in thread spinnerets by placing a diffraction grating between the microscope objective and the specimen.
Abstract: An optical microscope has been adapted for 3-D inspection of small capillaries in thread spinnerets by placing a diffraction grating between the microscope objective and the specimen. We show how a grating was specified using a quantitative analysis of groove spacing and geometry. An illumination system was specified based on incident angle and light wavelength. Specimens are placed on a robotic stage for positioning, and repositioning affords multiple perspective views of the target depending upon the diffraction order visible to the objective.
6 citations
••
TL;DR: In this paper, a method for the extraction of molybdenum-phenylfluorone complex by chloroform was described. But the extraction is complete whether perchlorate ions are present or not.
6 citations
••
TL;DR: The effect of scopolamine on performance of mice was determined for varying preinjection intervals with step-down passive avoidance and trained mice that were given the drug showed the same drug-dependent performance as mice drugged throughout acquisition.
Abstract: The effect of scopolamine on performance of mice was determined for varying preinjection intervals with step-down passive avoidance. Ss which received the drug immediately before the test performed normally, while performance was impaired for Ss given the test 5 or 10 min postinjection. When these Ss were retested without the drug, performance was normal. Trained mice that were given the drug showed the same drug-dependent performance as mice drugged throughout acquisition. These data may be relevant to theoretical notions about the effect of anticholinergic drugs on consolidation.
6 citations
••
TL;DR: The Famous Sayings Test is a disguised personality test yielding scores on Conventional Mores, Hostility, Fear of Failure, and Social Acquiescence (Bass, 1958).
Abstract: The Famous Sayings Test is a disguised personality test yielding scores on Conventional Mores, Hostility, Fear of Failure, and Social Acquiescence (Bass, 1958). In the present study 21 university students in advanced psychology courses took the test under normal instr~~ct ions and i~nmediately thereafter under instructions to answer as though they were job applicants trying to create the best possible impression. Means under normal administration were 40.38, 30.71, 34.14, and 28.00 for Conventional Mores, Hostility, Fear of Failure, and Social Acquiescence, respectively, with standard deviations of 9.50, 6.94, 8.51, and 9.37. Means for the faked administration were 46.67, 25.27, 43.29, and 34.19, with standard deviations of 10.90, 7.60, 7.57, and 7.75. Means for Fear of Failure and Social Acquiescence obtained under instructions to fake were significantly higher ( p = .01), while the Hostility mean when faking was significantly lower ( p = .05). The higher mean for Conventional Mores when faking fell just short of significance ( t of 2.05 with 20 d f ) . Pearson productmoment correlations between scores under regular and faked administrations were significant only in the case of Social Acquiescence where r = .54. The higher scores on Social Acquiescence under faking confirm an earlier finding by Bass (1958, p. 4 9 4 ) . This is of particular interest since Social Acquiescence scores are positively related to ethnocentrism and authoritarianism, and negatively related to amount of education. There is also some suggestion of a negative correlation with sales success (Bass, 1958, pp. 494-495). Thus in the process of trying to create a good impression, Ss raise their scores on Social Acquiescence, but chis makes them appear as less desirable job candidates.
6 citations
Authors
Showing all 1017 results
Name | H-index | Papers | Citations |
---|---|---|---|
Ruzena Bajcsy | 68 | 500 | 18552 |
Jinn-Tsair Teng | 49 | 100 | 6575 |
Hai-Lung Tsai | 38 | 152 | 4978 |
David R. Poirier | 36 | 138 | 4569 |
Robert L. Carroll | 35 | 77 | 4863 |
Bei Wang | 33 | 308 | 4049 |
Anthony N. Palazotto | 32 | 367 | 4203 |
Thomas B. Price | 30 | 59 | 5226 |
Peter M. Galton | 30 | 77 | 2444 |
Dorothy G. Singer | 30 | 67 | 4292 |
William M. Denevan | 29 | 54 | 4287 |
Ahmed Elsayed | 28 | 189 | 3457 |
Thomas C. Henderson | 26 | 184 | 3516 |
Khaled M. Elleithy | 26 | 334 | 2868 |
Miad Faezipour | 25 | 132 | 2416 |