Bilayered nano-hetero-structured n/n junction thin-film electrodes,WO3/Yb-Mo-BiVO4, for efficient photoelectrochemical water splitting

Journal of Applied Electrochemistry - Significant advancement in photoelectrochemical water splitting current is observed using uniquely evolved n/n junction bilayered nano-hetero-structured thin...     

谷物和油料中甲酸乙酯和硫化羰本底水平评估（中英文）

甲酸乙酯和硫化羰是潜在的储藏物熏蒸剂,广泛存在于大气、植物和土壤中。它们在新收获的谷物和储存的小麦、大麦、燕麦和油菜籽中的本底含量因商品、温度、含水量和储存期而异,其中甲酸乙酯含量为0.5~2.0 mg/kg,硫化羰含量为0.02~1.0 mg/kg。两种成分含量在储存后的前4~5个月呈上升趋势,然后下降,在温度高于20 ℃,谷物和油菜籽含水量分别大于9.5%和5%时变化最明显。这些本底含量研究对开发甲酸乙酯和硫化羰作为储藏物熏蒸剂时制定最大残留限量（MRL）和市场接受度值有重要参考价值。     

Analysis of Sun Flower Shaped Monopole Antenna

Wireless Personal Communications - The theoretical analysis of nature inspired antenna along with measured results of fabricated prototype is presented in this work. The space between successive...     

Hybrid Elephant Herding and Particle Swarm Optimizations for Optimal DG Integration in Distribution Networks

Abstract

In this article, the amalgamation of two well-established meta-heuristic optimization methods is presented to solve the multi-objective distributed generation (DG) allocation problem of distribution systems. To overcome some of the shortcomings of newly developed elephant herding optimization (EHO), an improvement is suggested and then, a prominent feature of particle swarm optimization is introduced to the modified version of EHO. The suggested modifications are validated by solving a single objective DG integration problem where various performance parameters of the proposed hybrid method are compared with their individual standard variants. After validation, the proposed technique is exploited to solve a multi-objective DG allocation problem of distribution systems, aiming to minimize power loss and node voltage deviation while simultaneously maximizing the voltage stability index of three benchmark distribution systems namely, 33-bus, 69-bus and 118-bus. The obtained simulation results are further compared with that of the same available in the existing literature. This comparison reveals that the proposed hybrid approach is promising to solve the multi-objective DG integration problem of distribution systems as compared to many existing methods.     

Detection of latent fingerprints using luminescent Gd0.95Eu0.05PO4 nanorods

Lanthanide ions doped luminescent materials are widely studied for latent fingerprint detection. However, most of these materials are synthesized at very high temperatures and use UV C light for visualization, which is harmful to eye, skin, etc. Herein, the Gd_0.95Eu_0.05PO₄ nanorods synthesized by a simple co-precipitation method at 185 °C were reported for latent fingerprint visualization under 395 nm light. The Gd_0.95Eu_0.05PO₄ nanomaterial has monoclinic crystal structure and shows rod-shaped morphology. Further, these Gd_0.95Eu_0.05PO₄ nanorods exhibit excellent photoluminescence properties and strong fuchsia emission under UV light. These nanorods have been employed for developing latent fingerprints on various porous and non-porous substrates by the powder dusting technique, which exhibits clear and well defined details with high contrast, selectivity and sensitivity under 395 nm UV light. Latent fingerprints developed after 72 h of their deposition also show clear contrast with these nanorods. Therefore, the Gd_0.95Eu_0.05PO₄ nanorods can be used for latent fingerprint visualization applications.     

Addressing Barriers to Off-Grid Rural Electrification in Africa： The Botswana and Namibia Experience

Africa is the most affected continent with energy poverty. Wood fuel is the main source of energy for remote and rural populations. At the same time, most parts of Africa are endowed with abundant solar energy. Together with a highly developed global solar industry and ever declining cost of solar systems, solar has unprecedented potential to combat energy poverty in Africa. However, dissemination of solar systems is faced with a number of barriers and challenges amongst where sustainable financing and lack of technological support for installation, maintenance and repair of systems are the most significant. This paper discusses the cases of Botswana and Namibia where financing schemes based on different partnership models have been successfully implemented. These schemes have the potential for success and adaptation by countries with similar socio-economic conditions. We conclude with recommendations on training programs for different levels of intervention to overcome the lack of technological support.     

Filter performance of reduced sized defect photonic crystals based on single‐negative materials

Single‐ and multiple‐channeled filters based on single‐negative (SNG) photonic crystals with inversion defects have been demonstrated theoretically. Omnidirectional filters with wide angular apertures and multiple‐channeled filters at normal incidence have been reported. Sharp, high transmission peaks with frequencies lying within the SNG range are obtained. By variation of the structural parameters these structures can also be made to function as tunable or polarizing filters, though the frequencies of the transmission modes in these two cases will lie outside the SNG range. A significant feature of all the filter types discussed is the drastic reduction in size of the proposed structures in comparison to those reported earlier. This implies easier fabrication methods and lower cost. Improved performance of devices has been achieved by proper placement of defects.     

Fourier-Based Feature Extraction for Classification of EEG Signals Using EEG Rhythms

In this paper, we propose a method for the analysis and classification of electroencephalogram (EEG) signals using EEG rhythms. The EEG rhythms capture the nonlinear complex dynamic behavior of the brain system and the nonstationary nature of the EEG signals. This method analyzes common frequency components in multichannel EEG recordings, using the filter bank signal processing. The mean frequency (MF) and RMS bandwidth of the signal are estimated by applying Fourier-transform-based filter bank processing on the EEG rhythms, which we refer intrinsic band functions, inherently present in the EEG signals. The MF and RMS bandwidth estimates, for the different classes (e.g., ictal and seizure-free, open eyes and closed eyes, inter-ictal and ictal, healthy volunteers and epileptic patients, inter-ictal epileptogenic and opposite to epileptogenic zone) of EEG recordings, are statistically different and hence used to distinguish and classify the two classes of signals using a least-squares support vector machine classifier. Experimental results, with 100 % classification accuracy, on a real-world EEG signals database analysis illustrate the effectiveness of the proposed method for EEG signal classification.