Relationship between qualitative physics and fuzzy logic in natural subsystems

The purpose of this research is to present a comparison between the two ad hoc appearance and control techniques of conceptual systems. In that respect, it is a description of the interconnected notion between the principle of qualitative physics and of ambiguous quality. On that basis the first point is to determine the key feature of each approach is significant. In the early stages of the product development and forecasting process, a large number of input energies were used for its creation. However, they are still being used in nature, though not subjectively impure. Therefore, this research presents the concept of the relationship between qualitative physics and fuzzy logic in terms of developing predictive outputs and using logical resources. Finally, the relationship between qualitative physics and fuzzy logic processes has been proven with the support of the selected natural subsystem

Relationship between qualitative physics and fuzzy logic in natural subsystems

44-49The purpose of this research is to present a comparison between the two ad hoc appearance and control techniques of conceptual systems. In that respect, it is a description of the interconnected notion between the principle of qualitative physics and of ambiguous quality. On that basis the first point is to determine the key feature of each approach is significant. In the early stages of the product development and forecasting process, a large number of input energies were used for its creation. However, they are still being used in nature, though not subjectively impure. Therefore, this research presents the concept of the relationship between qualitative physics and fuzzy logic in terms of developing predictive outputs and using logical resources. Finally, the relationship between qualitative physics and fuzzy logic processes has been proven with the support of the selected natural subsystem

Energy efficient decision fusion for differential space-time block codes in wireless sensor networks

147-156The non-coherent techniques that do not require the channel state information have gained significant interest especially when multiple transmitter and receiver nodes are involved in communication. In this paper, we analyze the energy efficiency of differential and coherent cooperative Multiple-input Multiple-output (MIMO) method using space-time block codes (STBC). We exploit the benefits of the extension of the observation interval of differential STBC to three blocks in Wireless sensor networks (WSNs). We propose an energy efficient decision fusion (EEDF) algorithm in WSNs which utilizes the benefits of Multiple symbol differential detection (MSDD) decision fusion by optimally selecting the ring amplitude of the differential amplitude phase shift keying (DAPSK) constellation. The simulation results show that processing differential multiple symbols provides significant energy saving compared to the conventional two-symbol processing. Furthermore, significant performance gain is achieved for the proposed algorithm compared to 16 DPSK MSDD decision fusions

Energy efficient decision fusion for differential space-time block codes in wireless sensor networks

The non-coherent techniques that do not require the channel state information have gained significant interest especially when multiple transmitter and receiver nodes are involved in communication. In this paper, we analyze the energy efficiency of differential and coherent cooperative Multiple-input Multiple-output (MIMO) method using space-time block codes (STBC). We exploit the benefits of the extension of the observation interval of differential STBC to three blocks in Wireless sensor networks (WSNs). We propose an energy efficient decision fusion (EEDF) algorithm in WSNs which utilizes the benefits of Multiple symbol differential detection (MSDD) decision fusion by optimally selecting the ring amplitude of the differential amplitude phase shift keying (DAPSK) constellation. The simulation results show that processing differential multiple symbols provides significant energy saving compared to the conventional two-symbol processing. Furthermore, significant performance gain is achieved for the proposed algorithm compared to 16 DPSK MSDD decision fusions

Analysis of Surface Water Extraction and Change Detection Over Barur Lake, India

239-243Water is one of the most essential and devastating element in the world. The lack of access to water and its abundance can be a serious threat to human life. These two circumstances may create a difficult situation against the sustainability of human life. Inadequate access to water causes drought, affects agriculture and on other side high level water availability in urban areas affects daily life. Hence, mapping and analysing of the surface water of the earth benefits from such impacts. Therefore, this study analysis evaluates the performance of available Landsat-8 OLI images for mapping water bodies and to obtaining precise Normalized Differential Water Index (NDWI) extraction. Change detection analysis of the obtained data shows that the area of the surface water body keeps on changing every year. The surface area of the lake has undergone a drastic change in the year 2019

Implementation of Monte Carlo Simulation in Evaluation of Uncertainty of Measurement of a Force Transducer

271-276Force transducers have prominently been utilized in numerous scientific, industrial and metrological applications since decades. They have been developed for the measurement of force in lower as well as the higher capacity to fulfil the industrial and technological requirements. Generally, a force transducer is calibrated as per standard process. For the better perceptive, there is a need of well defined calibration procedure in an organized structure according to standard ISO 376-2011. Also, factors affecting the uncertainty of measurement using law of propagation (LPU) method and their analysis have been discussed. The relative uncertainty contributions due to different factors have been explained with suitable mathematical expression. An alternative approach for evaluating uncertainty of measurement is Monte Carlo Simulation Method (MCS) that assigns probability distribution function (PDF) to input quantities and output. Efforts have been accomplished to determine uncertainty of measurement of force transducer using both methods

Multiple Bandwidth FIR Filter Design with Adaptive Algorithms for Hearing Aid Systems

605-623Digital Filter design plays a vital role in signal processing and communication applications. This paper proposes a hearing loss system model with Variable Bandwidth FIR Filter (VBF) and adaptive algorithms for the application to listening. The tunable band filter is designed to provide an appropriate sound level. This filter has several sub-filters each of which is designed with set of selected bandwidths. The sub-bands obtained are adjusted with proper magnitude by trial and error method. Algorithms such as Least Mean Square (LMS), Normalized Least Mean Square (NLMS) and Recursive Least Squares (RLS) are incorporated to improve the quality of the signal. The filter thus designed is examined by taking a number of audio signals. The tests on various hearing loss cases with different type of input signal suggest that this method is capable of reproducing a signal which sounds exactly the same as the original signal. The multiple bandwidth filters is analyzed with mild, moderate, profound and severe hearing loss patterns and the results are reported. The matching error is calculated between ideal response and actual response. The result show that the designed filter provides acceptable minimum matching error and it lies in the range 0 to 2.5dB.This filter design is implemented in TMS320C6711 processor and is tested for sinusoidal input signal

Implementation of Monte Carlo Simulation in Evaluation of Uncertainty of Measurement of a Force Transducer

Force transducers have prominently been utilized in numerous scientific, industrial and metrological applications since decades. They have been developed for the measurement of force in lower as well as the higher capacity to fulfil the industrial and technological requirements. Generally, a force transducer is calibrated as per standard process. For the better perceptive, there is a need of well defined calibration procedure in an organized structure according to standard ISO 376-2011. Also, factors affecting the uncertainty of measurement using law of propagation (LPU) method and their analysis have been discussed. The relative uncertainty contributions due to different factors have been explained with suitable mathematical expression. An alternative approach for evaluating uncertainty of measurement is Monte Carlo Simulation Method (MCS) that assigns probability distribution function (PDF) to input quantities and output. Efforts have been accomplished to determine uncertainty of measurement of force transducer using both methods

An Evolved Wavelet Library Based on Genetic Algorithm

As the size of the images being captured increases, there is a need for a robust algorithm for image compression which satiates the bandwidth limitation of the transmitted channels and preserves the image resolution without considerable loss in the image quality. Many conventional image compression algorithms use wavelet transform which can significantly reduce the number of bits needed to represent a pixel and the process of quantization and thresholding further increases the compression. In this paper the authors evolve two sets of wavelet filter coefficients using genetic algorithm (GA), one for the whole image portion except the edge areas and the other for the portions near the edges in the image (i.e., global and local filters). Images are initially separated into several groups based on their frequency content, edges, and textures and the wavelet filter coefficients are evolved separately for each group. As there is a possibility of the GA settling in local maximum, we introduce a new shuffling operator to prevent the GA from this effect. The GA used to evolve filter coefficients primarily focuses on maximizing the peak signal to noise ratio (PSNR). The evolved filter coefficients by the proposed method outperform the existing methods by a 0.31 dB improvement in the average PSNR and a 0.39 dB improvement in the maximum PSNR

Multiple Bandwidth FIR Filter Design with Adaptive Algorithms for Hearing Aid Systems

Digital Filter design plays a vital role in signal processing and communication applications. This paper proposes a hearing loss system model with Variable Bandwidth FIR Filter (VBF) and adaptive algorithms for the application to listening. The tunable band filter is designed to provide an appropriate sound level. This filter has several sub-filters each of which is designed with set of selected bandwidths. The sub-bands obtained are adjusted with proper magnitude by trial and error method. Algorithms such as Least Mean Square (LMS), Normalized Least Mean Square (NLMS) and Recursive Least Squares (RLS) are incorporated to improve the quality of the signal. The filter thus designed is examined by taking a number of audio signals. The tests on various hearing loss cases with different type of input signal suggest that this method is capable of reproducing a signal which sounds exactly the same as the original signal. The multiple bandwidth filters is analyzed with mild, moderate, profound and severe hearing loss patterns and the results are reported. The matching error is calculated between ideal response and actual response. The result show that the designed filter provides acceptable minimum matching error and it lies in the range 0 to 2.5dB.This filter design is implemented in TMS320C6711 processor and is tested for sinusoidal input signal