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Intelligent Automation & Soft Computing, Vol.28, No.1, pp. 10-19, 2021, DOI:10.32604/iasc.2020.010172
Abstract This paper presents an autonomous robot aimed at reducing distribution of chemical fertilizers in Pakistan in an optimum and effective way, thereby improving the public health and environment. Its hardware is fabricated using a 3D printer, and the software is developed by combining the Simulink with LabView. The robot uses an extruder More >

Intelligent Automation & Soft Computing, Vol.28, No.1, pp. 10-19, 2021, DOI:10.32604/iasc.2020.010172
Abstract This paper presents an autonomous robot aimed at reducing distribution of chemical fertilizers in Pakistan in an optimum and effective way, thereby improving the public health and environment. Its hardware is fabricated using a 3D printer, and the software is developed by combining the Simulink with LabView. The robot uses an extruder to inject more fertilizer where needed as well as the fertilizers that have exceeded the certain amount. The software is programmed using the C# programming language, and it is divided into two parts: the control part and the operation part. The control software is used to simulate the chemical fertilizers and the operation software is used to control and operate the robot. The various parameter settings of the software are tested by running the software through the prototypes More >

Intelligent Automation & Soft Computing, Vol.26, No.4, pp. 643-661, 2020, DOI:10.32604/iasc.2020.010100
Abstract Image segmentation is one of the fundamental stages in computer vision applications. Several meta-heuristics have been applied to solve the segmentation problems by extending the Otsu and entropy functions. However, no single-objective function can optimally handle the diversity of information in images besides the multimodality issues of gray-level images. This paper presents a self-adaptive multi-objective optimization-based method for the detection of crack images in reinforced concrete bridges. The proposed method combines the flexibility of information theory functions in addition to the invasive weed optimization algorithm for bi-level thresholding. The capabilities of the proposed method are demonstrated through comparisons with singleobjective More >




The evolution of wireless networks has been largely influenced by the availability of technologies for the hardware and the protocols for the software. The hardware-related evolution has led to integration of radios into the transceiver, in other words, transceiver chips. The development of such components allows users to design custom wireless networks with dedicated requirements. For instance, users can choose among two or more frequencies for communication and can be interested in the physical implementation of signaling, data transmission, and diversity reception. More > LTE (Long Term Evolution) is a mobile broadband standard developed by the 3GPP (3rd Generation Partnership Project). In LTE-A (LTE Advanced) evolved versions of LTE are considered. LTE-A brings a new set of requirements, the most prominent of them are: high capacity, reduced latency, and high data rates. Further, in order to fully reap the benefits of LTE-A, there is a need to find efficient solutions to the problems associated with LTE-A user equipment (UE). Multi-user multi-input multi-output (MIMO) in multiple-input multiple-output (MIMO) technology is one of the major enablers in LTE-A technology. In this paper, we provide new insights into the design of wideband MIMO implementations in LTE-A systems. We propose an efficient More > This paper presents a particle swarm optimization based neural network (PSO-NN) model for optimum network parameters in a cognitive radio network (CRN). In CRN, due to its ability to change the operating frequency, a cognitive radio device, which does not have a dedicated licensed frequency, is able to use the spectrum in the licensed channel in a mutually beneficial way. 5ec8ef588b


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