Being at the nexus of robotics and ocean engineering, underwater robots have been a developing research area. They can be used for deep sea infrastructure inspections, oceanographic mapping, and environmental monitori...
Being at the nexus of robotics and ocean engineering, underwater robots have been a developing research area. They can be used for deep sea infrastructure inspections, oceanographic mapping, and environmental monitoring. Autonomous navigation skills are essential for doing these activities successfully, especially given the poor communication conditions in underwater locations. Autonomous navigation technologies, such as path planning and tracking, have been one of the fascinating but difficult issues in the field of study due to the extremely dynamic and three-dimensional settings. Due to their short detection ranges and poor visibility, cameras have not received much attention as an underwater sensor. However, using visual data from cameras is still a popular technique for underwater sensing, and it works particularly well for close-range detections. In this study, the enhancement of underwater vision is achieved by combining the max-RGB and shades of grey methods. Then, to solve the problem of poorly illuminated underwater images, a technique known as RCNN (Region-based Convolutional Neural Network) is proposed. This procedure tells the mapping relationship how to create the illumination map. Following imageprocessing, an RCNN strategy for underwater detection and classification is recommended. Two improved strategies are then used to change the RCNN structure in accordance with the properties of underwater vision. In order to deal with the challenges of object tracking and detection in underwater communication, a correlation filter tracking algorithm (CFTA) method was created. The properties of the invariant moment and area were looked at after the object's region had been extracted using a threshold segment and morphological technique. The findings show that the suggested method is effective for underwater target tracking based on RCNN-CFTA in the aquatic environment. Simulated evaluation of these methods' performance demonstrates the potency of the suggested
Temperature and humidity automatic control system is widely applied in various fields more and more gets the welcome of people, because it can greatly reduce the human resources, and it has the characteristics of high...
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Temperature and humidity automatic control system is widely applied in various fields more and more gets the welcome of people, because it can greatly reduce the human resources, and it has the characteristics of highly efficient and accurate. the temperature and humidity automatic control system based on STC89 C52,Alarm module, GSM module,LCD1602 liquid crystal and the key threshold setting module.
By setting the detection threshold of temperature and humidity, inspection of the supermarket counters, temperature and humidity environment safety,and display the upper and lower threshold and temperature and humidit...
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By setting the detection threshold of temperature and humidity, inspection of the supermarket counters, temperature and humidity environment safety,and display the upper and lower threshold and temperature and humidity data at the time through LCD1602, realize compare the temperature and humidity data has be test, if the data is beyond the security threshold, GSM module send text messages to the user, cell phone, and automatic control the environment adjust module to adjust temperature and humidity environment, the user can also control environment adjust module through mobile. This design has the ability to process the data, high precision, applicable widely, etc.
Special properties of group signature and short signature make them become hot topic of current e-commerce research. To further improve efficiency, recently, Song Han et al gave an efficient group signature scheme wit...
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Special properties of group signature and short signature make them become hot topic of current e-commerce research. To further improve efficiency, recently, Song Han et al gave an efficient group signature scheme without using the proof of knowledge in ECMN2004, and Rui Zhang et al proposed a new short signature scheme without random oracle in ACNS2005. A common advantage of the two schemes is very efficient. In this paper, we first analyze the security of the HWL group signature scheme and show that the scheme is universal forgeable, namely, arbitrary one can forge a group signature in the name of any group member, while his identity cannot be revealed by the group manager. Then through analyzing the ZFI short signature scheme, we show that the short signature scheme exists key substitution attack. At the same time, we also give the corresponding improved ways to overcome the flaws of the schemes above by introducing the proof of knowledge, respectively.
A calendar of conferences from May 2010 to January 2011 is presented which includes the Biocommunications Association/Health Sciences communications Association (HESCA) conference in Boston, Massachusetts in June 2-6,...
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A calendar of conferences from May 2010 to January 2011 is presented which includes the Biocommunications Association/Health Sciences communications Association (HESCA) conference in Boston, Massachusetts in June 2-6, the 65th annual meeting of the Association of Medical Illustrators in Oregon in July 28 to August 1, and the Imaging Science and Technology - Electronic Imaging conference in California in January 23-27.
Due to the rapid development in digital technology, image enhancement has become a necessity to extract data and use it in many fields that may be medical, agricultural security, and many other fields. There are many ...
Due to the rapid development in digital technology, image enhancement has become a necessity to extract data and use it in many fields that may be medical, agricultural security, and many other fields. There are many image enhancement technique used in imageprocessing. The proposed method have been presented in this paper attempt to improve the performance of histogram equalization with different kind of medical image by using Gaussian filter and gamma where combined together to improve the illumination, contrast of images ,reduce the noise, and also improve image quality coefficients. Try to measure the entropy of image and compare the result of output image with input image and to give desired result. The quality coefficients for the medical images processed with the HE and Gaussian filter and Gamma with certain value, according to the scientific proof. When the image quality was improved, the visual perception was improved.
The article describes the method of noise elimination is linear averaging over neighboring pixels in a spatial neighborhood. In this case, the arithmetic mean of its neighbors is used as the new value of the central p...
The article describes the method of noise elimination is linear averaging over neighboring pixels in a spatial neighborhood. In this case, the arithmetic mean of its neighbors is used as the new value of the central pixel. The larger the window size, the stronger the averaging occurs. Linear averaging partially impairs the perception of the image and complicates its further analysis, since it blurs the contours of objects. Adaptive filters are used to preserve the contours of objects in the image, which can change the filter coefficients in accordance with the features of the processed image. Most adaptive filters are local (implement "windowing"). For each position of the sliding processing window, either the filter mask counts are recalculated or the window configuration is changed. The disadvantage of adaptive filters is that the synthesis of these filters requires precise knowledge of some static characteristics of signals and noise, which is difficult in conditions of uncertainty in the field of application of video sensor-based computing devices.
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