485 research outputs found
Some thoughts on the association of polled trait and intersexuality in goats
International audienc
HISTOPATHOLOGICAL ASSAY OF INDUCED HYMENOLEPIASIS IN MUS MUSCULUS AND RESTORATION OF NORMALCY WITH PRAZIQUANTEL
Helminth parasites produce their deleterious effects in their hosts essentially by mechanical trauma, obstruction of hollow viscera and circulatory channels, utilization of substances normally destined for body nutrition, depletion of the blood, chemical intoxication and occupation of space and displacement of tissues. The triumviate interaction of Hymenolepis nana infection in the laboratory mouse Mus musculus and treatment with praziquantel are depicted in the present work, through histopathological assay of host intestine using heamatoxylin and eosin staining and scanning electron microscopy. The extent of mechanical trauma inflicted in the traumatized host at the morphological level is thus visualized. The research further emphasizes the reasons for the development of many more such broad-spectrum anthelmintics to combat the ever-evolving parasites
Mobile Coordinated Wireless Sensor Networks with Fault-Tolerance for Structural Health Monitoring
This paper introduces the Structural health monitoring (SHM) using Mobile Access Coordinated Wireless Sensor Network (MA-WSN) energy - efficient scheme for time sensitive applications. In Sensor Networks with Mobile Access points (SENMA), the mobile access points (MAs) traverse the network to collect information directly from each sensor. To organize disjoint nodes forming into small groups in high energy level, sensors are used in clustering methods, where each cluster has a coordinator referred as Cluster Head (CH). Early detection of failure CHs will reduce the data loss and provide possible minimal recovery efforts. Failure CHs are unable to connect to automatically organized another cluster head of access node and this access node collect and transfer data directly. So a new technique has been proposed in this paper which improves the life time of sensor nodes or it minimizes the maximum energy used by the sensor for transmitting data to the base station and also ensures monitoring quality. The performance of the proposed placement method has been tested by NS2 simulations and the result is compared with the sensor placement using effective independence method. This method obtains almost the same placement quality as that provided by using effective independence method, but with improvement in system life time
Low Complexity Multiplier-less Modified FRM Filter Bank using MPGBP Algorithm
The design of a low complexity multiplier-less narrow transition band filter bank for the channelizer of multi-standard software-defined radio (SDR) is investigated in this paper. To accomplish this, the modal filter and complementary filter in the upper and lower branches of the conventional Frequency Response Masking (FRM) architecture are replaced with two power-complementary and linear phase filter banks. Secondly, a new masking strategy is proposed to fully exploit the potential of the numerous spectra replicas produced by the interpolation of the modal filter, which was previously ignored in the existing FRM design. In this scheme, the two masking filters are appropriately modulated and alternately masked over the spectra replicas from 0 to 2, to generate even and odd channels. This Alternate Masking Scheme (AMS) increases the potency of the Modified FRM (ModFRM) architecture for the design of a computationally efficient narrow transition band uniform filter bank (termed as ModFRM-FB). Finally, by combining the adjoining ModFRM-FB channels, Non-Uniform ModFRM-FB (NUModFRM-FB) for extracting different communication standards in the SDR channelizer is created. To reduce the total power consumption of the architecture, the coefficients of the proposed system are made multiplier-less using the Matching Pursuits Generalized Bit-Planes (MPGBP) algorithm. In this method, filter coefficients are successively approximated using a dictionary of vectors to give a sum-of-power-of-two (SOPOT) representation. In comparison to all other general optimization techniques, such as genetic algorithms, the suggested design method stands out for its ease of implementation, requiring no sophisticated optimization or exhaustive search schemes. Another notable feature of the suggested approach is that, in comparison to existing methods, the design time for approximation has been greatly reduced. To further bring down the complexity, adders are reused in recurrent SOPOT terms using the Common Sub-expression Elimination (CSE) technique without compromising the filter performance
Low Complexity Multiplier-less Modified FRM Filter Bank using MPGBP Algorithm
The design of a low complexity multiplier-less narrow transition band filter bank for the channelizer of multi-standard software-defined radio (SDR) is investigated in this paper. To accomplish this, the modal filter and complementary filter in the upper and lower branches of the conventional Frequency Response Masking (FRM) architecture are replaced with two power-complementary and linear phase filter banks. Secondly, a new masking strategy is proposed to fully exploit the potential of the numerous spectra replicas produced by the interpolation of the modal filter, which was previously ignored in the existing FRM design. In this scheme, the two masking filters are appropriately modulated and alternately masked over the spectra replicas from 0 to 2, to generate even and odd channels. This Alternate Masking Scheme (AMS) increases the potency of the Modified FRM (ModFRM) architecture for the design of a computationally efficient narrow transition band uniform filter bank (termed as ModFRM-FB). Finally, by combining the adjoining ModFRM-FB channels, Non-Uniform ModFRM-FB (NUModFRM-FB) for extracting different communication standards in the SDR channelizer is created. To reduce the total power consumption of the architecture, the coefficients of the proposed system are made multiplier-less using the Matching Pursuits Generalized Bit-Planes (MPGBP) algorithm. In this method, filter coefficients are successively approximated using a dictionary of vectors to give a sum-of-power-of-two (SOPOT) representation. In comparison to all other general optimization techniques, such as genetic algorithms, the suggested design method stands out for its ease of implementation, requiring no sophisticated optimization or exhaustive search schemes. Another notable feature of the suggested approach is that, in comparison to existing methods, the design time for approximation has been greatly reduced. To further bring down the complexity, adders are reused in recurrent SOPOT terms using the Common Sub-expression Elimination (CSE) technique without compromising the filter performance
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