A Real-time Parallel Image Processing Approach on Regular PCs with Multi-core CPUs

Atasoy, Huseyin; Yıldırım, Esen; Yıldırım, Serdar; Kutlu, Yakup

doi:10.5755/j01.eie.23.6.19696

Cited by 4 publications

(3 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A precisely accurate result of the measurement is received by using well-calibrated equipment (hardware). To optimize the work of the system, it is important to optimize the computer resources for parallel image processing [38]. Optimal exposure duration ensures the identity of the distinguished granule outline with its real outline.…”

Section: Methodsmentioning

confidence: 99%

Research of the Equipment Self-Calibration Methods for Different Shape Fertilizers Particles Distribution by Size Using Image Processing Measurement Method

2019

View full text Add to dashboard Cite

The fourth digital revolution of industry makes substantive changes to the rate and methodology of work performance. Machines and robots do the majority of work in robotized and automated factories, while people only supervise them. After an increase of production efficiency, quality control became a critical point. Therefore, quality control systems of computer visions are increasingly installed. The branch of chemical industry requires measurements of quality at as great a frequency as possible. Consequently, indirect measurements are effectively used at this point. This research presents the method of indirect particle measurement. Particles are measured using digital image processing. The algorithm is used for particle measurement to automatically adjust the measurement results. Numerical intelligence is added to the algorithm to increase the accuracy of correction results. The research deals with the problem of matching the results of indirect measurements and the results of the control equipment. For data analysis, fertilizer diameter, mean diameter, aspect ratio, symmetry, sphericity, convexity and some other parameters are used. The mismatch of the artificial neural network results with the control equipment results is slightly higher than 1%.

show abstract

Section: Methodsmentioning

confidence: 99%

Research of the Equipment Self-Calibration Methods for Different Shape Fertilizers Particles Distribution by Size Using Image Processing Measurement Method

2019

View full text Add to dashboard Cite

show abstract

“…However, the usual laboratory measurements with the sieve technique are not frequent enough. Applied indirect pellet measurements are accelerated using computer hardware resource capabilities [15].…”

Section: Methodsmentioning

confidence: 99%

Research of the Operator’s Advisory System Based on Fuzzy Logic for Pelletizing Equipment

et al. 2019

View full text Add to dashboard Cite

Fertilizer manufacturing in the chemical industry is closely related with agricultural production. More than a half of raw materials for food products are grown by fertilizing plants. The demand of fertilizers has been constantly increasing along the growth of human population. Fertilizer manufacturers face millions of losses each year due to poor quality products. One of the most common reasons is wrong decisions in control of manufacturing processes. Operator’s experience has the highest influence on this. This paper analyzes the pellet measurement data, collected at the fertilizer plant by using indirect measurements. The results of these measurements are used to construct the model of equipment status control, based on the fuzzy logic. The proposed solution allows to respond to changes in production parameters in a 7–10 times faster manner. On average, a manufacturer with production volumes of up to 80 tonnes/hour could have lost about 8400 tonnes/year of high-quality production. The publication seeks symmetry between human and system decision making.

show abstract

“…These architectures provide intensive multimedia processing due to their high level of parallelism. Other proposals aim to take advantage of these processing units with other elements to improve performance, such as combining GPUs with reconfigurable architectures [44] and multicore central processing units [45], [46].…”

Section: B Multimedia Architecturesmentioning

confidence: 99%

Distributed Architectures for Intensive Urban Computing: A Case Study on Smart Lighting for Sustainable Cities

et al. 2019

View full text Add to dashboard Cite

New information and communication technologies have contributed to the development of the smart city concept. On a physical level, this paradigm is characterized by deploying a substantial number of different devices that can sense their surroundings and generate a large amount of data. The most typical case is image and video acquisition sensors. Recently, these types of sensors are found in abundance in urban spaces and are responsible for producing a large volume of multimedia data. The advanced computer vision methods for this type of multimedia information means that many aspects can be dynamically monitored, which can help implement value-added applications in the city. However, obtaining more elaborate semantic information from these data poses significant challenges related to a large amount of data generated and the processing capabilities required. This paper aims to address these issues by using a combination of cloud computing technologies and mobile computing techniques to design a three-layer distributed architecture for intensive urban computing. The approach consists of distributing the processing tasks among a city's multimedia acquisition devices, a middle computing layer, known as a cloudlet, and a cloud-computing infrastructure. As a result, each part of the architecture can now focus on a small number of tasks for which they are specially designed, and data transmission communication needs are significantly reduced. To this end, the cloud server can hold and centralize the multimedia analysis of the processed results from the lower layers. Finally, a case study on smart lighting is described to illustrate the benefits of using the proposed model in smart city environments. INDEX TERMS Mobile cloud computing, data processing, distributed architectures, smart city, urban computing.

show abstract

A Real-time Parallel Image Processing Approach on Regular PCs with Multi-core CPUs

Cited by 4 publications

References 8 publications

Research of the Equipment Self-Calibration Methods for Different Shape Fertilizers Particles Distribution by Size Using Image Processing Measurement Method

Research of the Equipment Self-Calibration Methods for Different Shape Fertilizers Particles Distribution by Size Using Image Processing Measurement Method

Research of the Operator’s Advisory System Based on Fuzzy Logic for Pelletizing Equipment

Distributed Architectures for Intensive Urban Computing: A Case Study on Smart Lighting for Sustainable Cities

Contact Info

Product

Resources

About