EXPERIMENTAL INVESTIGATION AND NEURAL NETWORK PREDICTION OF THE PERFORMANCE OF A MIXED MODE SOLAR DRYER FOR COCONUT

The shelf life of agricultural food products may be enhanced by reducing their moisture contents, by means of a drying process. The present work aims at drying coconut yielding copra. This paper presents the design, analysis of a mixed mode solar dryer for food preservation and energy saving. In the mixed mode solar dryer, the drying cabinet absorbs solar energy directly through the transparent roof and during the same time the heated air from a solar collector is passed through a tray. Various measurements like solar radiation, mass flow rate, and moisture content and relative humidity have been observed. From previous literature four different models (Newton, Page, Henderson & Pabis and Wang & Singh) are chosen for testing the performance of mixed mode solar dryer. Selected models are evaluated by using EMD, ERMS, R2 and ðœ’2 and it is concluded that page model is more suitable for the fabricated cabinet solar dryer at air flow rate 0.009Kg/s based on the experimental analysis. The direct radiant solar energy and a convective hot air stream dry the products, resulting in longer life for the products which are also free from impurities. The experimental results are utilized to evolve a suitable mathematical model, among the different models that are chosen, for copra. This will help in designing suitable dryers for actual users. Also, a multilayer neural network approach has been used to predict the performance of a mixed mode solar dryer for drying coconut. The simulation of neural network is based on the feed forward back propagation algorithm

Analisis Komparasi Kinerja Keuangan Sebelum dan Selama Pandemi Covid-19 pada Perusahaan Sektor E-Commerce yang Terdaftar pada Bursa Efek Indonesia Periode 2019-2020

The purpose of this study is to identify and analyze any differences in financial ratios e-commerce companies which is listed on the Indonesian Stock Exchange (IDX) before and during the Covid-19 pandemic in the period of 2019-2020. The ratios being used are Return On Asset (ROA), Current Ratio (CR) and  Debt to Asset Ratio (DAR). The population is technology companies listed on the Indonesian Stock Exchange (IDX) index in the period of 2019-2020. Using purposive sampling, 22 companies were selected as the sample. Paired sample t-test and Wilcoxon signed rank test, which were used previously in normality test, were incorporated. This study did not found differences in Return On Asset (ROA), Current Ratio (CR) and  Debt to Asset Ratio(DAR)

British Romanticism and the Global Climate

As a result of developments in the meteorological and geological sciences, the Romantic period saw the gradual emergence of attempts to understand the climate as a dynamic global system that could potentially be affected by human activity. This chapter examines textual responses to climate disruption cause by the Laki eruption of 1783 and the Tambora eruption of 1815. During the Laki haze, writers such as Horace Walpole, Gilbert White, and William Cowper found in Milton a powerful way of understanding the entanglements of culture and climate at a time of national and global crisis. Apocalyptic discourse continued to resonate during the Tambora crisis, as is evident in eyewitness accounts of the eruption, in the utopian predictions of John Barrow and Eleanor Anne Porden, and in the grim speculations of Byron’s ‘Darkness’. Romantic writing offers a powerful analogue for thinking about climate change in the Anthropocene

Sakuntalá de Kalidasa

As il. son [8] f. de lám. col. intercaladas có text

Sacontala; or, The fatal ring [electronic resource] : An Indian drama. By Calidas. Translated from the original sanscrit and pracrit.

With a half-title.NCElectronic reproduction.English Short Title Catalog,Reproduction of original from Boston Public Library

Sakúntala : drama en siete actos

Texto fechado en 1875Signaturizad

SYAKUNTALA

108 hlm;12 x 17,5 c