Exploring diversity of endophytes from cultivated crop offers immense promise for plant growth promotion. Present study evaluated promoting efficiency, phosphorus, and potassium solubilization by bacterial corn root in soil. Out 24 endophytic isolates four stages, 13 were able to grow on nitrogen free media, 10 could solubilize phosphorus tricalcium phosphate, 8 possessed solubilizing ability glauconite. The also showed siderophore production antifungal activity. Two FDN-4-6 FDN2-1 produced...

Introduction: The performance of a standard Capon beamformer for dual beams (SCBDB) is analyzed against simultaneous variations in the direction and power interference. metrics SCB-DB are SLL, maximum 3-dB beamwidth between first minimas. Method: In SCB-DB, SCB utilizes an extra constraint to ensure that unity gain preserved second desired signal. SLL management, along with (SCB − DBSLL), involves sampling angles within sidelobe area, powers associated these sampled restricted predetermined...

This paper develops and assesses the performance of a hybrid prediction model using radial basis function neural network non-dominated sorting multiobjective genetic algorithm-II (NSGA-II) for various stock market forecasts. The proposed technique simultaneously optimizes two mutually conflicting objectives: structure (the number centers in hidden layer) output mean square error (MSE) model. best compromised solution-based was determined from optimal Pareto front fuzzy set theory....

Layout is an important issue in designing sensor networks. This paper proposes a new approach for energy efficient layout of wireless network. The sensors communicate with each other to transmit their data high communication node which acts as interface between processing unit and sensors. Optimization locations essential provide longer duration. An good coverage based on Multi-objective Particle Swarm algorithm proposed here. During the process optimization, move form uniformly distributed...

Power scarcity and pollution can be overcome with the use of green energy forms like ethanol, biogas, electricity, hydrogen, etc., especially produced from renewable industrial feedstocks. In hilly areas, pine needles are most abundant biomass that has a low possibility valorization due to high lignin content. On other hand, anaerobic digestion (AD) animal waste biogas yield poor conductivity. This study focuses on simultaneous production electricity through co-digestion cow dung needles....

The task of radar pulse compression is formulated as a multi-objective optimization problem and has been effectively solved using radial basis function (RBF) network genetic algorithm (NSGA-II). performance three different codes in terms signal to peak side-lobe ratio (SSR) under noisy environment, range resolution Doppler shift are evaluated through exhaustive simulation study compared with those obtained by auto correlation (ACF) based methods. results demonstrate excellent the proposed...

Fault-tolerant scheduling of real-time (RT) tasks in multiprocessor environment is essentially a NP-hard problem. This basically involves allocating set to processors so as minimize the makespan and ensure meet their timing constraints. Many traditional heuristic approaches, such earliest deadline first (EDF) least laxity (LLF) have been adopted find optimal solution this However, conventional approach achieve fault-tolerance (FT) RT based on suffers from poor performance results inefficient...

The adaptive pulse compression (APC) algorithm is superior to conventional normalised matched filter (NMF) and least square mismatched techniques. However, its performance degrades for non-stationary targets in noisy condition as the has not taken into consideration Doppler shift effect. On other hand, recently reported compensated APC (DC-APC) technique performs well only objects. Thus, there a need develop an that would work efficiently both stationary conditions. Keeping this view,...

Modeling of complex nonlinear systems has become a challenging task in presence outliers. In this scenario robust norm with an evolutionary approach does potential job. A modified algorithm GOPSO (global selection based orthogonal PSO) is proposed which offers more accurate and computationally efficient training compared to OPSO (Orthogonal PSO). The the been demonstrated on six benchmark multi-modal optimization problems. Further, identification models developed by combining Wilcoxon...

Matched filtering of biphase coded radar signals create unwanted sidelobes which may mask some the desired information. This paper presents a new approach for pulse compression using recurrent neural network (RNN). The 13-bit and 35-bit barker codes are used as input signal to RNN. detection system is simulated results simulation compared with obtained from Multilayer Perceptron (MLP) network. number layer neurons same length code three hidden taken in present systems. Simulation show that...

The adaptive pulse compression (APC) technique has been proposed in the literature of radar for superior performance polyphase coded signals comparison to conventional matched filter (MF) and mismatched techniques. However, its degrades case binary phase signals. recently reported hybrid MF radial function (MF-RF) model performs well only single target case. Thus there is a need develop which would perform efficiently both multi-targets conditions To achieve this objective (APC-RF) combining...

This paper presents the improvements that can be achieved through additional constraints in design of highly sparse arrays beamforming.The a array beamformer is an optimization problem multivariable functions and its performance depends on given conditions.For uniform linear (ULA), Output Signal to Noise Ratio (OSINR) function antenna elements array.However, this linearity not consistent various environments.This deviation minimized by selecting optimal with lesser number than are actually...

The road cracks are one of the major concerns in all over world nowadays. It may cause safety and increase chance accidents on road. Every year a lot money is allocated for maintenance repair roads. This cost can be reduced if early detected. If this detection performs manually then it mostly dependent labourers. manual will consume more time offer small accuracy. In past, many algorithms have been developed to achieve exact region crack. paper novel technique detect automatically by...

The S-transform is a method of time-frequency analysis time series, essentially the Fourier spectrum as function time. While attractive in concept, suffers from inherently poor frequency resolution, particularly at high frequencies. We present here technique (named STF) to enhance resolution through use global spectrum. scaling localising Gaussian window STF made amplitude Tests with several data series show better no increase computation or resource usage.

In practical array signal processing environment steering vector uncertainties are present which degrade the performance of adaptive beamforming significantly. The uncertainty occurs primarily due to mismatch in direction interest (SOI). This article presents an efficient approach enhance presence SOI. proposed method is based on diagonal loading and utilizes ellipsoidal constraints reformulate optimization problem. output interference noise ratio (SINR) obtained from shows its superiority...