21 research outputs found

    Performance Evaluation of Chaos Based IDMA Scheme Using Joint Turbo Equalization Over Frequency Selective Fading Channel

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    This paper proposed the analysis of a new chaos based interleave division multiple access (CB-IDMA) wireless communication system. It also proposed the use of joint turbo equalization to mitigate the effect of intersymbol interference (ISI) in deep faded frequency selective channel. In this study, the proposed CB-IDMA system used the chaotic Tent map for the design of a robust interleaver, which produces low correlation among the users and yields better bit error rate performance. The proposed structure combined the joint turbo equalization for the cancellation of ISI and multiple access interference (MAI), which was observed as the main impediment to successful IDMA communication over frequency selective multipath fading channel. Two types of frequency domain equalizers were considered for performance evaluation; zero forcing (ZF) and minimum mean square error (MMSE) equalizer. Simulation experiments were performed in MATLAB and the results demonstrated that the proposed CB-IDMA system with joint turbo equalization may be preferred in deep fading environment

    Identification and classification of upper limb motions using PCA

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    Electromyographic classification of effort in muscle strength assessment

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    A neural network-based electromyography motion classifier for upper limb activities

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    The objective of the work is to investigate the classification of different movements based on the surface electromyogram (SEMG) pattern recognition method. The testing was conducted for four arm movements using several experiments with artificial neural network classification scheme. Six time domain features were extracted and consequently classification was implemented using back propagation neural classifier (BPNC). Further, the realization of projected network was verified using cross validation (CV) process; hence ANOVA algorithm was carried out. Performance of the network is analyzed by considering mean square error (MSE) value. A comparison was performed between the extracted features and back propagation network results reported in the literature. The concurrent result indicates the significance of proposed network with classification accuracy (CA) of 100% recorded from two channels, while analysis of variance technique helps in investigating the effectiveness of classified signal for recognition tasks

    Development of prosthetic arm using body actioned SEMG signals

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    People’s working capability is badly affected when they suffer an amputated arm. Artificial replacements with prosthetic devices to get a satisfactory level of performance for essential functions with the currently available prosthetic technology are very difficult. Myoelectric arm prostheses are becoming popular because they are operated by a natural contraction of intact muscles. Hence, SEMG based artificial arm was fabricated. The system consists of different electronic and mechanical assemblies for operation of hand utilizing microcontroller in order to have minimum signal loss during its processing. With the help of relay switching connected to low power DC motor, system is capable of opening and closing of grip according to individual wish

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    Not AvailableGenetic diversity of seahorse species was studied using 12 polymorphic microsatellite DNA loci in the yellow seahorse Hippocampus kuda and the three-spotted seahorse H. trimaculatus from samples collected along the east and west coasts of India. Cross-species microsatellite loci amplification in populations of Indian seahorses showed significant numbers of private alleles associated with site-specific populations, which could be used for population genetic studies and management of species for conservation. Significant genotype heterogeneity indicated that the samples are not from the same gene pool, and that physical barriers exist which inhibit breeding between populations. The identified microsatellite loci can be further utilized in fine-scale population structure analysis of seahorses.Not Availabl

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    Not AvailableAn attempt was made to assess the phenotypic variability and study the management practices of indigenous swamp buffalo ‘Bhangor’ population from the north-eastern state of Tripura. Bhangor buffalo animals have morphological features and behaviour similar to typical swamp buffalo. A survey was conducted in villages covering entire state, to record the phenotypic information. Adult animals are medium sized with compact body and used for draught and meat purpose. The horn is like sickle shaped (curved) with flat broad base and mostly corrugated, and curved upward to form a circle. Recently, for the first time, we had characterised Bhangor buffalo based on cytogenetic analysis as swamp type showing 2N=48 chromosomes. In present study, we had evaluated the reproductive performance and management practices. The buffalo provide valuable draught power in paddy fields. The indigenous population are important and much needed for the local communities as they are most suitably adapted to their natural habitat. At present only few swamp buffalo population are left in the country, and the germplasm of this population needs to be conserved.Not Availabl
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