software filtering
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2020 ◽  
Vol 16 ◽  

Even if digital radiography is performed using modern procedures, which allow viewing and enlarging the image on the computer monitor, sometimes, due to the distortions introduced by the equipment or the need to perform a thorough analysis with a high degree of precision, image processing is required. For this matter, in this paper we present a software application created to help the dental practitioners, when they need a clear image, to discover the dental diseases or other submicroscopic problems on the dental surface, in the incipient phase, bone loss or any other problems that cannot be seen from a medical image, mainly due to the distortions introduced by the equipment. The advantages of dental image processing consist of brightness adjustment (attenuation, accentuation), contrast adjustment (attenuation, accentuation), image negation, histogram equalization, color transformation or noise removal. The paper describes the software accomplishment and implementation of filtering algorithms, which are efficient compared to the existing solutions, which can be used to improve the quality of the medical imaging. The algorithms, implemented in Java, are obtained by modifying the operators and procedures of the fundamental algorithms


2017 ◽  
Vol 69 (4) ◽  
pp. 408-425 ◽  
Author(s):  
Hamid R. Jamali ◽  
Pria Shahbaztabar

Purpose The purpose of this paper is to investigate the relationship between internet filtering, emotions and information-seeking behaviour. Design/methodology/approach In total, 15 postgraduate students at an Iranian university participated in the study which involved a questionnaire, search tasks with think aloud narratives, and interviews. Findings Internet content filtering results in some changes in the information-seeking behaviour of users. Users who face website blocking use a variety of methods to bypass filtering, mostly by using anti-filter software. Filtering encourages users to use channels such as social networking services to share resources and it increases the use of library material by some of the users. Users who face filtering during their search are more likely to visit more pages of results and click on more hits in the results, unlike users who do not experience filtering who rarely go past the first page. Blocking users’ access to content stimulates their curiosity and they become more determined to access the content. In terms of the affective aspect, filtering causes several negative emotions (e.g. anger, disgust, sadness and anxiety) and the main reason for these emotions is not the inability to access information but the feeling of being controlled and not having freedom. Research limitations/implications The study was limited to a small number of postgraduate students in social sciences and not generalisable to all user groups. The implication is that in countries where filtering is used, libraries can play an important role in serving users and reducing users negative emotions, especially if libraries can take advantage of technologies such as social media for their services. Originality/value This is first study to address the effects of internet filtering on information-seeking behaviour and emotions. The study shows that internet filtering causes negative emotions and results in some changes in information-seeking behaviour.


2016 ◽  
Vol 22 (2) ◽  
pp. 595-606 ◽  
Author(s):  
Yesol Kim ◽  
Seong-je Cho ◽  
Sangchul Han ◽  
Ilsun You

2016 ◽  
Vol 851 ◽  
pp. 449-452
Author(s):  
Yang Hua ◽  
Zi Jian Yang

Through the analysis of the motion mode of the two-wheel self-balance vehicle, a system of a two-wheel self-balance vehicle is presented in this paper. This system takes the chip STM32 as the controller, and it uses the MPU-6050 to collect the acceleration and angular velocity date of the vehicle. Then using the software filtering and quaternion fusion algorithm to know the motion of the vehicle. The MCU handles the data through combining PID algorithm and outputs PWM to L298 to motor two DC motors to control the vehicle’s posture.


2014 ◽  
Vol 678 ◽  
pp. 228-232
Author(s):  
Guang He Cheng ◽  
Rui Rui Sun ◽  
Lu Yue Han

After excluding the usual device error, environmental error caused by electromagnetic interference persists in the acquisition system of heating flux of building envelope. This error makes the system instability and causes relatively large deviations of heat flux data, affecting building energy conservation measurement. To counter the problem of error in the data acquisition system, a new software filtering algorithm is put forward. The algorithm combines the idea of the mean and median filtering method, and specific algorithm formula and algorithm steps are given in this paper. Experimental results showed that the algorithm effectively improved the accuracy of data collection. For example, when I input 1mV into system from the sensor, average error of heat flux was decreased from 5.2% to 0.4%, and the maximum error was less than 2%.


2014 ◽  
Vol 668-669 ◽  
pp. 762-766
Author(s):  
Chun Yan Xu ◽  
Wu Ai ◽  
Jing Tao Wu

This paper introduces a design of different-frequency grounding resistance meter using MCU 80C196KB as the core. This instrument generates a current with a different frequency at about 120Hz to be injected into the ground grid. By adopting current-voltage method, the design enables an accurate measurement of the grounding resistance of large-scale ground grid, such as, power systems, architectural buildings, military facilities, and airports. The instrument controls the output of different-frequency electrical source by using MCU and DDS techniques. Moreover, the utilization of RMS-DC devices simplifies its data acquisition and data processing. In addition, the application of hardware and software filtering technology reduces the measurement error which may be caused by frequency interference, measuring disturbing between lead wires.


2014 ◽  
Vol 556-562 ◽  
pp. 6162-6166
Author(s):  
Xue Dong Jing ◽  
Bin Shi Xu

Main considerations for development of a virtual instrument (VI) have been presented, which include determination of algorithms, signal match, software filtering, meaesures to correct systematic errors, sampling rate, dand design of the control & diagram panels, debugging & simulating, and selection of developping platform. An example is given to illustrate the successful application of these considerations to process monitoring of brush plating.


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