Built Dye-Sensitized Solar Cells- A Confirmatory Test of a Mathematical Model

In their work, Efurumibe, et al (2012) developed a mathematical model of electron transport through the anode of a standard dye-sensitized solar cell. By analysis of the model, it was observed that the rate of electron trapping by the anode of the dye-sensitized solar cell decreases as the anode side increases. Here in this work, three different dye-sensitized solar cells (of different anode sizes) were built. When the cells were tested, it was observed that the cells with higher anode sizes gave increased current and voltage values. This confirmed the mathematical model as true. Key Words: Dye, Sensitized, solar, Cel

Adaptive Hybrid Model for Prediction of Electromagnetic Signal Path Loss in Long Term Evolution radio Microcellular Network

Accurate path loss modeling and prediction will provide realistic information on the level of signal attenuation in a service area and contribute positively to better performance of cellular radio network. This will also support the tight fitting of cell fringe areas that are likely to be impacted negatively by interference around the cell edge/contour. A better predictive path loss model that will facilitate superb cellular network planning process will be of a great support to cellular radio network planners, stakeholders and end users. In this work we used a hybrid wavelet and Long Short Term Memory model for adaptive modeling and prediction of signal path loss in urban microcellular radio network. A measured signal data was obtained and routed through a wave let-based decomposition process with two decomposition levels. The decomposed measured signal data was converted into path loss values and then utilized as input data to Long Short Term Memory model where relevant extracted information were captured and trained for robust predictive adaptive learning and prediction. The degree of prediction accuracy using the proposed model over other prediction techniques were statistically quantified using four different first order statistical metricsSignal Pathloss model can accurately estimate pathloss which in turn are useful for maximizing of network quality and coverage area of base stations, frequency assignments, proper determination of electric field strength, interference analysis, handover optimization, power level adjustment, radio link budget design and analysis.&nbsp

Desenvolvimento do tomateiro e modificações nas propriedades químicas do solo em função da aplicação de resíduos orgânicos, sob cultivo protegido Development of tomato and changes in soil properties with organic materials application in greenhouse

O experimento foi conduzido de fevereiro a agosto de 1997 no município de Piracicaba (SP), a fim de avaliar os efeitos de doses e resíduos orgânicos no desenvolvimento do tomateiro (Lycopersicon esculentum Mill) cultivado em estufa e nos atributos químicos de um solo Podzólico vermelho-amarelo abrupto, A moderado, textura arenosa/média. O delineamento experimental foi de blocos casualizados em esquema fatorial 3 x 4, sendo usados três resíduos orgânicos [composto de lodo de cervejaria e cavaco de eucalipto (CLC), composto de lixo (CL) e cama de frango (CF)] e quatro doses equivalentes a 0; 100; 150 e 200 kg ha-1 de N, com quatro repetições. A produção de frutos de tomate não aumentou com a adição dos materiais orgânicos. A aplicação de CF reduziu o pH e o teor de Mg no solo. As doses do CLC elevaram o conteúdo de matéria orgânica, o teor de cálcio trocável e a capacidade de troca de cátions do solo. O CL, por sua vez, não alterou as propriedades químicas do solo.<br>An experiment was carried out between February and August/97 to evaluate the effects of different organic wastes on the growth of tomato (Lycopersicon esculentum Mill) plants and on the chemical properties of an Ultisol soil. The experimental design was of complete randomized blocks with four replicates and treatments disposed in a factorial 3x4: three organic wastes [malt residue and eucalyptus chip compost (CLC), urban solid waste compost (CL) and chicken litter (CF)] and four rates equivalent to 0; 100; 150 and 200 kg ha-1 of N. The fruit yield did not increase with organic waste additions. CF application decreased the pH and exchange Mg of soil. CLC addition increased the organic matter; exchange Ca and cation exchange capacity of soil. However, CL did not change the soil chemical properties