ElAr :: Перегляд за автором "M. Ayaz Ahmad"

Перегляд за автором "M. Ayaz Ahmad"

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A Study of New Cycloid Swing Link Speed Reducer by using Algorithmic Design
(www.ijsr.net, 2015) Drugarin Cornelia Victoria Anghel; M. Ayaz Ahmad; Lyashenko, V.
The aim of this article is to present a design algorithm for a new modern and high mechanical efficiency cycloid swing link speed reducer. Estimate that the new cycloid swing link speed reducer has and others advantages in comparison with the existing push road reducer such as: strong capacity of anti impact and over load, accessible process technology. We propose an algorithm for kinematics, dynamics and resistance (dimensional) calculus for specific main portent elements. Dimensional design of common elements as: shafts, bearings, carcasses, etc. not offer in the paper.
Algorithmic Research and Application Using the Rayleigh Method
(www.ijsr.net, 2015) Anghel Drugarin Cornelia Victoria; M. Ayaz Ahmad; N. Ameer Ahamad; Lyashenko, V.
The aim ofthis article is topresent the general notions and algorithm about power (Rayleigh) method. The solutions for a numerical example are given and the C++ program illustrated the facility ofthis method. Wecan concluded, that the small number of iterations resulted todetermined the equation solutions, indicated us, that the chosen ofpower method isa good decision.
Basic Principles of Decision Making upon Receipt of New Nanomaterial
(WARSE, 2019) Lyashenko, V.; Syed Khalid Mustafa; Sotnik, S.; M. Ayaz Ahmad
Review of nanomaterials existing classifications and their preparation methods is carried out. As a result, basic principles of decision-making when obtaining new nanomaterial are determined, which take into account stability, as well as properties when molding products from nanomaterials and directly reproducible properties of materials themselves with check for biocompatibility, biodegradability, and toxicity. It is proposed in decision-making process to pay attention to analysis: nanomaterial behavior in soil (mobility, stability); nanomaterials behavior in water; airborne behavior and photoactivity. It is proposed to classify nanomaterials in terms of their structural components: nanoparticles, carbon nanostructures, thin films. Proposed decision-making algorithm for obtaining new nanomaterial takes into account its safety for human health and environment throughout entire life cycle.
Computational Complexity of the Accessory Function Setting Mechanism in Fuzzy Intellectual Systems
(WARSE, 2019) M. Ayaz Ahmad; Tvoroshenko, I.; Jalal Hasan Baker; Lyashenko, V.
This article proposes a mechanism for processing fuzzy symptoms, as well as all related factors presented in natural language, which made it possible to improve the intellectual decision-making system in the field of cardiology by adjusting membership functions. The computational complexity of solving the problem according to the criterion of time costs is determined, it is close to exponential from the selected calculation accuracy, which indicates the effectiveness and the absence of disadvantages of the proposed mechanism for a given criterion. The software implementation of the mechanism for setting membership functions in a fuzzy intellectual system is implemented in the Python 3.6 object-oriented programming environment. The laboratory operation of a fuzzy intellectual system has confirmed the high reliability of making objective decisions in the medical subject area.
Features of the Construction and Control of the Navigation System of a Mobile Robot
(WARSE, 2020) M. Ayaz Ahmad; Sinelnikova, T.; Syed Khalid Mustafa; Lyashenko, V.
The use of robots is one of the promising areas for development in various industries, human activities. Mobile robots are of particular importance. These robots are able to replace humans in difficult and dangerous situations. Mobile robots are able to perform any tasks that have different levels of difficulty. An important element of mobile robots is the navigation system and the management of such a system. The navigation control system of a mobile robot determines the possibilities of using such a robot. This necessitated the importance of considering the features of the construction and control of the navigation system of a mobile robot. The paper highlights the key features of this consideration.
Methods of Using Fuzzy Interval Logic During Processing of Space States of Complex Biophysical Objects
(WARSE, 2020) Lyashenko, V.; Syed Khalid Mustafa; Tvoroshenko, I.; M. Ayaz Ahmad
This article proposes a technique for using fuzzy interval logic during multi-stage processing of state spaces of complex biophysical objects in the medical system HEALTH. The proposed method of selecting the best diagnoses in the context of fuzzy background information was used to solve the practical problems of computer medical фdiagnostics. The theoretical and practical results formulated are the basis for the construction of systems and tools for computational intelligence. The diagnostic system is implemented on the basis of modern information technologies and computers. The presented computerized medical diagnostics system can be used in medical practice for the diagnosis of cardiovascular diseases, planning of health events and conducting of social and hygienic monitoring in medical institutions. Laboratory operation of fuzzy intellectual system HEALTH confirmed the high probability of making objective decisions in the medical subject area.
Microsituations as part of the formalization of avalanche climate to avalanche-riskiness and avalanche-safety classes in the emergency situations separation
(International Journal of Advanced Research, 2015) M. Ayaz Ahmad; Kuzemin, O.; Lyashenko, V.; N. Ameer Ahamad
Need to ensure the safety of human life is inextricably linked to the various emergencies studies and experimental analysis. One of the most emergencies manifestations is avalanching. In this case, analysis and forecasting of avalanches is still quite challenging. This is due to the fact that the solution of such problems is largely determined by adequate and interconnected representation of existing diversity of avalanches parameters occurrence. To solve this problem, we consider the concept of microsituat ions, which is used for a formalized description of emergency avalanche climate, dividing it into avalanche-riskiness and avalanche-safety classes. As a result of such a description was developed a method for the distribution of avalanche climate emergencies to avalanche-riskiness and avalanche safety classes, was proposed the considered method implementation scheme for selection of avalanche-riskiness and avalanche-safety classes from the analyzed set of emergencies.
Modeling the Structure of Intellectual Means of Decision-Making Using a System-Oriented NFO Approach
(WARSE, 2019) M. Ayaz Ahmad; Tvoroshenko, I.; Jalal Hasan Baker; Lyashenko, V.
This article developed the structure of an intelligent decision-making system based on the constructed NFO-models, which demonstrated an increase in the effectiveness of decisions made in the medical diagnosis of some cardiovascular diseases. The presented architecture leads to the adoption of reliable decisions through the use of the verbal method of presenting data. This system uses existing approaches to formalization and diagnostics, conducts data mining, and provides the user with complete information for making a decision. Intelligent decision-making system can be used both in clinical practice by novice specialists, and in training students and doctors in continuing education institutions.
Modification of Models Intensive Development Ontologies by Fuzzy Logic
(WARSE, 2020) Tvoroshenko, I.; M. Ayaz Ahmad; Syed Khalid Mustafa; Lyashenko, V.; Adel R. Alharbi
The problem of eliminating the inadequacy that arises during by using develop ontologies is solved by modifying the development model of fuzzy ontologies. We propose a modified model of the development of ontologies in time, as well as a formal model of intensive development, which makes it possible to efficiently solve the problems of analysis and estimation of the state space of ontologies that are developing using fuzzy logic. These models allow us to determine and eliminate the properties of inadequacy by using develop distributed ontology control systems. Based on interpreting by using develop ontologies, the ways of further stages of this research, and the development of methods for presenting fuzzy information in ontologies, are determined.
Properties of wavelet coefficients of self-similar time series
(IJSER, 2015) Lyashenko, V.; Deineko, Z.; M. Ayaz Ahmad
The analysis and processing of sequence of the data presented in the form of time series, is one of the prevalent methodologies in studying of various processes and the phenomena which are concerned to different fields of activity and researches. As a practice shows, the most of investigated time series have a property of self-similarity. At the same time, among existing variety of different ways and methods for the data processing which are presented in the form of a time series, it is possible to allocate the ideology of a multiresolution wavelet-analysis. The essence of such ideology consists in carrying out of wavelet-expansion of investigated data and the subsequent analysis of corresponding coefficients of such expansion – wavelets coefficients. Thus, necessity in answer to a question about properties of such wavelet coefficients is objective. It makes a basis of the given research. Hence, the basic properties of wavelet coefficients of self-similar time series are formulated and proved on theoretical level in this work. Also, there are presented the results of experiments which have confirmed a theoretical substantiation of the basic properties of wavelet coefficients of self-similar time series. They have shown that the considered properties are characteristic for time series with different correlation structure.
Some Features in Calculation of Mold Details for Plastic Products
(WARSE, 2019) Lyashenko, V.; Syed Khalid Mustafa; Belova, N.; M. Ayaz Ahmad
The article considers the relationship of mold details and injection molds. The basic elements of mold details are considered. The calculation method of design data tooling which can be used at design of injection mold is offered. This method gives the chance to provide the necessary accuracy of casting. This allows to determine the rational walls thickness of the injection mold and to define further what type of heat treatment is necessary after formation.
Study of Wavelet Methodology and Chaotic Behavior of Produced Particles in Different Phase Spaces of Relativistic Heavy Ion Collisions
(Scientific Research Publishing, 2017) M. Ayaz Ahmad; Lyashenko, V.; Deineko, Z.; Jalal Hasan Baker; Shafiq Ahmad
We applied the wavelet methodology for our earlier published research work of the chaotic behavior so called multiplicity fluctuations of secondary charged particles produced during the nucleus-nucleus (A-A) collisions at an energy of the order of ≈ 409 GeV in a new fashion. We illustrated the wavelet coherency in a relation of chaotic behavior for above said data of secondary charged pions in different phase spaces of collisions such as: η-space, φ-space (in one dimension) and ηφ-space (in two dimensions) respectively. We have shown the changes in the wavelet coherence when there are different values of two parameters “q” and “p”. We discussed our new results for the comparison purpose and findings were in the good agreements.
Wavelet Coherence as a Tool for Markers Selection in the Diagnosis of Kidney Disease
(WARSE, 2020) M. Ayaz Ahmad; Syed Khalid Mustafa; Zeleniy, O.; Lyashenko, V.
A study was conducted on the relationship between different markers in the diagnosis of kidney disease. As such markers were considered: glomerular filtration rate, renal arterial blood flow velocity, resistive renal artery index. The relationship between the markers was investigated taking into account the return and body mass index of patients. This allows you to identify various risk groups. We used wavelet coherence to explain the results of the relationship between markers and visualize the research process. The expediency of using the wavelet methodology for conducting intellectual diagnostics for the detection of kidney diseases is shown. As a prevailing preference in the study of markers for the diagnosis of kidney disease, a body mass index was determined. The results of various experiments are presented.

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