On sequential traversal of sets

The problem of sequential traversal of megapolises with precedence conditions is investigated; this problem is oriented to mechanical engineering — CNC metal cutting machines. There is the following setting singularity: the terminal component of additive criterion contains the dependence on the starting point. This singularity leads to the fact that the natural solution procedure based on dynamic programming must be applied individually for every starting point. The investigation goal consists in the construction of an optimizing algorithm for determining a complex including a route (a variant of megapolis numbering), a trajectory, and a starting point. The proposed algorithm realizes an idea of directed enumeration of starting points. This algorithm is realized as a program for PC; computations for model examples are made.

Fingerprint Intramodal Biometric System Based on ABC Feature Fusion

Unimodal biometrics system (UBS) drawbacks include noisy data, intra-class variance, inter-class similarities, non-universality, which all affect the system's classification performance. Intramodal fingerprint fusion can overcome the limitations imposed by UBS when features are fused at the feature level as it is a good approach to boost the performance of the biometric system. However, feature level fusion leads to high dimensionality of feature space which can be overcame by Feature Selection (FS). FS improves the performance of classification by selecting only relevant and useful information from extracted feature sets being an optimization problem. Artificial Bee Colony (ABC) is an optimizing algorithm that has been frequently used in solving FS problems because of its simple concept, use of few control parameters, easy implementation and good exploration characteristics. ABC was proposed for optimized feature selection prior to the classification of Fingerprint Intramodal Biometric System (FIBS). Performance evaluation of ABC-based FIBS showed the system had a Sensitivity of 97.69% and RA of 96.76%. The developed ABC optimized feature selection reduced the high dimensionality of features space prior to classification tasks thereby increasing sensitivity and recognition accuracy of FIBS.

AN INVERSION APPROACH FOR BIOCHEMICAL PARAMETERS OF VEGETATION BASED ON THE PROSPECT-5 MODEL

Accurate inversion of vegetation biochemicals using the PROSPECT model mostly depends on a proper inversion approach, including a suitable optimizing algorithm, appropriate dependent variables, and different properties from spectra of reflectance (R) and transmittance (T). In this paper, we propose a special inversion method using PROSPECT-5 and then explore its effectiveness in inverting chlorophyll, carotenoids, equivalent water thickness, and dry matter per area data from the ANGERS database. The inversion strategy includes (i) an optimal algorithm with constrained bounds (fminsearchbnd) to replace the common function fminsearch, (ii) and four parameters are considered together and separately as dependent variables of models, (iii) Using properties from the spectra of R, T and combined R&T to invert the above four biochemical parameters. The results show that fminsearchbnd can improve the model's R2 based on a field-measured database. Moreover, using the entire set of parameters together as the model inputs is more effective than using single parameters separately. T spectra are favoured for all parameter inversions in the model database while being inapplicable in the ANGERS database. These findings provide an appropriate inversion strategy for the PROSPECT-5 model in vegetation biochemical parameters analysis and suggest further research to develop an accurate inversion process for vegetation based on various physical models.

Determining operation parameters of the leverage mechanism in a mining excavator

Introduction. The paper analyzes the process of rock excavation using a front-shovel operational equipment of an open-pit excavator in the context of determining rational modes of operation for its main mechanisms (lifting and thrusting mechanisms) during the excavation. The main purpose of the study is to establish the kinematic and dynamic characteristics of the excavation process by identifying patterns of changes in the operating parameters of the main mechanisms. Research methodology includes mathematical modelling and computational experiment with the use of machines and mechanisms theory methods. Results. Dependencies were obtained to determine rational values of lifting and thrusting velocities which ensure that the bucket (top of its cutting edge) moves along a specified trajectory while excavating. A simulation model was built for the process of rock excavation carried out by front-shovel excavators, which represents a set of calculated values for the operational parameters of the main mechanisms to realize the bucket movement along a specified path and provide specified energy-force parameters on the bucket. An optimizing algorithm was developed to control the working process of an open-pit excavator and achieve required values of the operation parameters to get the bucket moving at a specified excavating velocity within the work area of the excavator. It is shown that their joint action forms a kinematic chain which connects the main mechanisms and the bucket and includes driven links of those mechanisms and elements of the operational equipment. Operation parameters of the main mechanisms were found to be formed in accordance with kinematic properties of the transmission mechanism (with the kinematic chain as its part). Scope of results. The results of the research could be used to develop a control system for the drives of the main mechanisms.

Computer and Physical Modeling for Verification of the Stereo System Calibration Parameters Optimization Results

Close-range photogrammetry is widely used to measure surface shapes and diagnose deformation. Usually, a stereo system of video cameras is used to register images of the measured object from several different angles. The surface shape is determined by triangulating a set of 2D points from these images. Triangulation uses the stereo system calibration parameters, which are determined before the experiment. Measurements during conditions with increased vibration loads can lead to a change in the relative position of the cameras of the stereo system (decalibration). This leads to a change in the actual calibration parameters and an increase in the measurement error. The decalibration problem can be solved using multidimensional optimization algorithms. To verify their calculation's results it is proposed to use a computer and physical modeling of decalibration of a video camera stereo system in laboratory conditions. The paper presents the implementation of the optimizing algorithm for the external parameters of a stereo system and the results of its performance during the experimental investigations.

Oil painting algorithm based on aesthetic criteria of genetic algorithm during COVID-19

Under the influence of novel coronavirus pneumonia, the traditional manual oil painting creation has put forward higher requirements. The disadvantages of traditional hand drawing are very obvious: tedious, inconvenient to modify and save, slow speed of painting, which can no longer meet the requirements of social development. In this paper, the fitness of oil painting function is discussed. Through the analysis of the experimental results, it is found that this method has important reference value for optimizing algorithm and improving traditional hand drawing during COVID-19.

An efficient and optimized tracking framework through optimizing algorithm in a deep forest using NFC

NFC is applying in various field of contemporary technology. Especially of convenience tag usability in any place. One of the facilities which can be added in the tracking system is the implementation of Near Field Communication in order to guide each tourist in the deep forest or any other location. In the deep forest, tracking or location detection activities need to be done efficiently, like desired path finding in a deep forest. At present, the tracking procedure in deep forest is working with the help of guides or local citizens. Currently, in any restricted area such as the “Sundarban” forest, no outside general people are allowed to travel in the jungle without any authorized guide which is not an efficient way to travel smoothly. The use of Near Field Communication can solve the problem related to lost the way, safety, and easily help the travelers to track the desired destination without the help of human resources or any guide. The NFC tags that hold mapping information of the area, in the point of tag setup all tags will be set up on several trees along with sequence.

CCSA Algorithm Compensator Designing in a Solar wind Hybrid Energy System

In recent years, there has been a growing interest in moving away from large centralized electricity production towards distributed energy resources. In this paper are designing of a Hybrid solar/wind system as well as integrating it with the grid system in MATLAB /SIMULINK environment. And Designing of a compensating device and compare it with the basic STATCOM compensator for active power output enhancement in the system. The compensating device control has to be designed with a linear crow optimizing algorithm to obtain a smooth voltage and current waveform. Reduction in the distortion level of the voltage output at the grid system is to be done by using the proposed optimizer. The description concludes that the hybrid system is made efficient for driving the loads having enhanced active power output at its terminal. The voltage available has been made less distorted and the THD level in current output has also came down.