scholarly journals Art Visual Image Transmission Method Based on Cartesian Genetic Programming

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Jing Zhao
Keyword(s):  
Image Processing ◽  
Genetic Programming ◽  
Success Rate ◽  
Visual Communication ◽  
Processing Time ◽  
Visual Image ◽  
Image Transmission ◽  
Cartesian Genetic Programming ◽  
Visual Effect ◽  
Image Communication

Because most of the traditional artistic visual image communication methods use the form of modeling and calculation, there are some problems such as long image processing time, low success rate of image visual communication, and poor visual effect. An artistic visual image communication method based on Cartesian genetic programming is proposed. The visual expression sensitivity difference method is introduced to process the image data, the neural network is used to identify the characteristics of the artistic visual image, the midpoint displacement method is used to remove the folds of the artistic visual image, and the processed image is formed under the above three links. The Cartesian genetic programming algorithm is used to encode the preprocessed image, improve the fitness function, select the algorithm to improve the operation, design the image rendering platform, input the processed image to the platform, and complete the artistic visual image transmission. The analysis of the experimental results shows that the image processing time of this method is short, the success rate of visual communication is high, and the image visual effect is good, which can obtain the image processing results satisfactory to users.

Wi-Fi location fingerprinting using an intelligent checkpoint sequence

2017 ◽  
Vol 11 (3) ◽  
Author(s):  
Günther Retscher ◽  
Hannes Hofer
Keyword(s):  
Success Rate ◽  
Mobile Device ◽  
Processing Time ◽  
Signal Strength ◽  
Reference Points ◽  
Regular Grid ◽  
Correct Order ◽  
Location Fingerprinting ◽  
Novel Approach ◽  
Logical Sequence

AbstractFor Wi-Fi positioning location fingerprinting is very common but has the disadvantage that it is very labour consuming for the establishment of a database (DB) with received signal strength (RSS) scans measured on a large number of known reference points (RPs). To overcome this drawback a novel approach is developed which uses a logical sequence of intelligent checkpoints (iCPs) instead of RPs distributed in a regular grid. The iCPs are the selected RPs which have to be passed along the way for navigation from a start point A to the destination B. They are twofold intelligent because of the fact that they depend on their meaningful selection and because of their logical sequence in their correct order. Thus, always the following iCP is known due to a vector graph allocation in the DB and only a small limited number of iCPs needs to be tested when matching the current RSS scans. This reduces the required processing time significantly. It is proven that the iCP approach achieves a higher success rate than conventional approaches. In average correct matching results of 90.0% were achieved using a joint DB including RSS scans of all employed smartphones. An even higher success rate is achieved if the same mobile device is used in both the training and positioning phase.

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