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Irvine, CA, United States

Terra Tech Förderprojekte e.V. is a non-profit-making non-governmental organization, which is dedicated at development aid and humanitarian aid. Terra Tech was founded in 1986 by citizens from Wetzlar and Marburg . The focal points of Terra Tech are needy persons in development- and newly industrialized countries which are disadvantaged by wars, natural disasters and global/social inequality. Wikipedia.

Terra Tech, Be Green Media Llc and BGB Media LLC | Date: 2015-02-23

Cigarette rolling papers, lighters for smokers, rolling trays for cigarettes, tobacco shredders, tobacco pouches, and tobacco grinders.

Terra Tech, Be Green Media Llc and Bgb Media Llc | Date: 2016-01-26

Providing a magazine featuring fashion, culture and society, namely, a magazine inspired by art and fashion that embraces individual expression, stories of survivors and trailblazers, and highlighting modern day heroes that are creating change in the world through spirituality and a higher consciousness.

Terra Tech, Be Green Media Llc and Bgb Media Llc | Date: 2015-12-01

electronic cigarettes; electric vaporizers, namely, smokeless cigarette vaporizer pipes; smoking pipes; smoking devices, namely, electronic smoking pipes; personal electronic smoking pipes.

Lonyi F.,Hungarian Academy of Sciences | Valyon J.,Hungarian Academy of Sciences | Someus E.,Terra Tech | Hancsok J.,University of Pannonia
Fuel | Year: 2013

Catalytic steam reforming of bone oil, obtained by pyrolysis of meat and bone meal (MBM), was studied over particulate and monolithic Ni/γ-Al 2O3 catalysts and their promoted varieties. Two tube reactors were used in cascade at atmospheric pressure and steam to carbon molar ratio of 5. The first reactor, loaded with granular dolomite, and the second reactor, containing Ni/γ-Al2O3 catalyst, was operated at 800 and 700-750 C, respectively. The WHSV of the oil in the second reactor was usually in the range of 4.0-9.0 h-1, whereas in the first reactor was generally ten times lower. The guard catalyst prevented the Ni-catalysts from activity loss for days and could be regenerated by air treatment at the reaction temperature. The oil was virtually fully converted to CO and H2-rich gas. The K or Ca additives promoted, the Mg additive adversely affected the reforming activity and stability of the Ni/γ-Al2O3 catalysts. © 2013 Elsevier Ltd. All rights reserved.

Lin L.,State University of New York at Buffalo | Wang Q.,State University of New York at Buffalo | Huang S.,Terra Tech | Sadek A.W.,State University of New York at Buffalo
Transportation Research Part C: Emerging Technologies | Year: 2014

This paper improves on the Spinning Network (SPN) method, a novel forecasting technique, inspired by human memory which was recently developed by Huang and Sadek (2009). The improvement centers on the use of the Dynamic Time Warping (DTW) algorithm to assess the similarity between two given time series, instead of using the Euclidean Distance as was the case with the original SPN. Following this, the enhanced method (i.e., hereafter referred to as the DTW-SPN) is used to predict hourly traffic volumes at the Peace Bridge, an international border crossing connecting Western New York State in the U.S. and Southern Ontario in Canada. The performance of the DTW-SPN is then compared to that of three other forecasting methods, namely: (1) the original SPN (referred to as the Euclidean-SPN); (2) the Seasonal Autoregressive Integrated Moving Average (SARIMA) method; and (3) Support Vector Regression (SVR). Both classified as well as non-classified datasets are utilized, with the classification made on the basis of the type of the day to which the data items belong (i.e. Mondays through Thursdays, Fridays, weekends, holidays, and game days). The results indicate that, in terms of the Mean Absolute Percent Error, the DTW-SPN performed the best for all data groups with the exception of the "game day" group, where SVR performed slightly better. From a computational efficiency standpoint, the SPN-type algorithms require runtime significantly lower than that for either SARIMA or SVR. The performance of the DTW-SPN was also quite acceptable even when the data was not classified, indicating the robustness of the proposed forecasting method in dealing with heterogeneous data. © 2013 Elsevier Ltd.

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