Single Shot MultiBox Detector is a single shot detector (uses a single shot) for multiple categories, which is faster than the latest generation such as YOLO (You only look once) and significantly more accurate, in fact just as accurate. As well as the slower techniques, which make explicit region proposals and collection (including faster R-CNN). SSD predicts category scores and box offsets for a fixed set of default bounding boxes, using small convolutional filters applied on feature maps. Recent researches in object detection are driven by the success of convolutional neural networks (CNN). They are able to learn rich features outperforming hand-crafted features. To obtain high detection accuracy, we produce predictions of different scales from feature maps of different scales, and explicit predictions based on the aspect ratio. These design features lead to simple end-to-end training and high accuracy, even on low resolution input images, further improving speed and accuracy with precision [2]. The SSD only needs an input image and truth boxes for each object during training. Convolutely, we evaluate a small set of boxes implicit by different aspect ratios at each location, in several feature maps with different [3]. For each implicit box, we preach both shape offsets and confidences for all object categories. During training, for the first time these default boxes match the truth boxes. The SSD approach is based on a convolutional feed-forward network that produces a fixed size collection of bounding boxes and scores for the presence of object class instances in those boxes, followed by a non-maximal suppression step to produce the final detections.
Analysis and processing of large data sets represent a significant challenge. Massive data sets are collected and studied in numerous domains, from engineering sciences to social networks, biomolecular research, commerce, and security. Extracting valuable information from big data requires innovative approaches that efficiently process large amounts of data as well as handle and, moreover, utilize their structure. Big data can be used to solve a variety of problems with significant cost reduction cost by following the process in the figure.
The term “Big Data” is now a popular way to refer to massive digital information available in both structured and unstructured form integrated from multiple, diverse, dynamic sources of information.
In this research we applied big data analytics with graphical techniques for the study of environmental influence on the human body. The hypothesis we wanted to check is that sounds and especially music have a special effect on human body further on influencing the level of cognition. The provided environment was changed and measurements have been achieved as regards the heart rates by carrying out electrocardiograms (ECG) on the subjects. The measurements produced huge amount of data that have to be integrated and analyzed considering various parameters. We have chosen to analyses and visualize the data in LabVIEW.
Electrical devices for operation in potentially explosive atmospheres are designed and built in accordance with European standard EN 50015: 1995 ex. the pressurized enclosure "p". The type of protector p, by using a protective gas in the housing is intended to prevent the formation of an explosive atmosphere within it, while maintaining an overpressure to the surrounding atmosphere and, where appropriate, by the use dilution. Research conducted for pressurized encapsulation aimed at developing new procedures for determining the parameters of pressurization to allow safe use of electrical appliances.
Pressurization with compensation for losses allegedly maintaining overpressure inside the enclosure when the outlets are closed, is made by feeding protective gas in an amount sufficient to fully compensate for losses from the housing inevitable pressurized and its associated pipework. The conditions and necessary measures that are required for appliances and equipment with potential ignition of explosive atmospheres are detailed in the SR EN 50016/2000. For pressurized encapsulation protection mode, the electric equipment can be maintained safety by the overpressure created inside them and in the supply pipes with air.
The paper presents a modern method to determine the parameters of the electric equipment with pressurization enclosures. For controlling of such equipment, a specific algorithm has been developed and laboratory tested.
The separation column used for experimentations one model can be configured in two ways: one - two columns of different
diameters placed one within the other extension, and second way, one column with set diameter [1], [2]. The column
separates the carbon isotopes based on the cryogenic distillation of pure carbon monoxide, which is fed at a constant flow rate
as a gas through the feeding system [1],[2].
Based on numerical control systems used in virtual instrumentation was done some simulations of the distillation process in
order to obtain of the isotope 13C at high concentrations. The experimental installation for cryogenic separation can be
configured from the point of view of the separation column in two ways: Cascade - two columns of different diameters and
placed one in the extension of the other column, and second one column with a set diameter. It is proposed that this
installation is controlled to achieve data using a data acquisition tool and professional software that will process information
from the isotopic column based on a logical dedicated algorithm. Classical isotopic column will be controlled automatically,
and information about the main parameters will be monitored and properly display using one program.
Take in consideration the very-low operating temperature, an efficient thermal isolation vacuum jacket is necessary. Since the
“elementary separation ratio” [2] is very close to unity in order to raise the (13C) isotope concentration up to a desired level,
a permanent counter current of the liquid-gaseous phases of the carbon monoxide is created by the main elements of the
equipment: the boiler in the bottom-side of the column and the condenser in the top-side.
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