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Like backscatter X-ray machines, millimeter wave scanners produce detailed full-body images of passengers, but they do it with ultrahigh-frequency millimeter wave radiation rather than X-rays. If you went on name alone, you might think "advanced imaging technology machines" could help doctors hunt for tumors or other medical conditions. In reality, the label -- euphemism, if you're cynical -- adopted by the U.S. Transportation Security Administration (TSA) describes the whole-body scanners found at airports that detect weapons, explosives or other threats being carried on passengers. According to the TSA's Web site, the agency had installed 800 advanced imaging technology machines at 200 U.S. November 2012. The machines come in two flavors, based on the type of electromagnetic radiation they use to make a scan. Backscatter machines -- about 30 percent of the installations -- send low-energy X-rays to bounce off a passenger's body. Millimeter wave (mmw) scanners emit energy more akin to microwaves. Both see through clothing to produce a 3-D image of the person standing in the machine.|Now the summer night sticky hot life became hell without electricity. Most of their area remained dark for hours due to power storage. In May-June temperature shoots up to 40 degree Celsius. With almost 90 percent of humidity in the atmosphere, it becomes all sweat, wet, damp and stinky. When you are busy fanning yourself all the time, how can you concentrate on your studies? In the night it is impossible to sit in the study with a candle light or a table lamp or hurricane lamp or a rural kerosene lamp. People simply come out of houses almost bare-bodied and sit in the open places. Some splash cold water on their faces. Fans are still, lamps are out and it is dark everywhere. It is simply unbearable. What is the of frequent load shedding? Press reports say there is a shortage in electricity production. In a Speech at the 90th Science Congress, internationally scientist and former Indian president Mr. APJ Abdul Kalam mentioned a very important aspect of mankind's future energy crisis. We evaluate VSLAN on MSVD and MSR-VTT datasets in terms of syntax and diversity. The CIDEr score of VSLAN outperforms current off-the-shelf methods by 7.8%percent7.87.8%7.8 % on MSVD and 4.5%percent4.54.5%4.5 % on MSR-VTT, respectively. On the same datasets, VSLAN achieves competitive results in caption diversity metrics. Long Short Term Memory (LSTM), a variant of RNN to generate captions from encoded visual features of Convolutional Neural Network (CNN). Most existing works exploit attentive features from the encoder stage as hidden input to the decoder. Although it is a widely used norm, it is limited to perform in a single feature stream. Because the attention distribution is uni-modal. Weights all feature streams in an identical fashion. Hadamard product, which solved this issue. We similarly incorporate bilinear pooling as a building block of our local and global attention module. On top of that, we propose a novel self-attention architecture to attend specific feature sets directly from training loss. france

















































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