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Found 6374 publications

Modulation instability and soliton dynamics in birefringent optical fibers governed by the complex Ginzburg–Landau equation

Nauman Raza Hijaz Ahmad Erkabov Davletov Zuha Khalid Ikram Davletov

Publication Name: Zeitschrift Fur Angewandte Mathematik Und Physik

Publication Date: 2026-03-01

Volume: 77

Issue: 3

Page Range: Unknown

Description:

The study of optical solitons in birefringent fibers is essential for understanding signal transmission stability in nonlinear dispersive systems. This article investigates the optical soliton solutions of the complex Ginzburg–Landau equations that take into account Hamiltonian perturbations and Kerr-type nonlinearity, modeling nonlinear wave propagation in birefringent fibers. The extended hyperbolic function and the generalized auxiliary equation methods are employed to obtain exact soliton solutions, followed by an analysis of their physical significance, offering insights into polarization effects, phase shifts and energy dissipation in optical fibers, aiding advancements in high-speed optical communication. It has been recognized that the proposed framework leads to a numerically convenient as well as mathematically sound mechanism for solving a wide range of nonlinear evolution equations. A 2D and 3D graphical presentation using certain parameterizations is included in this study for a deeper understanding of the solution’s physical attributes. The dependability of the methodology underscores its proficiency in addressing more intricate mathematical and engineering frameworks, thereby accentuating its broader significance.

Open Access: Yes

DOI: 10.1007/s00033-026-02744-6

Model-Free Control of Finger Dynamics in Prosthetic Hand Myoelectric-based Control Systems

Claudiu Radu Pozna Emil M. PETRIU Radu Emil Precup Teodor Adrian TEBAN Adriana ALBU Raul Cristian ROMAN

Publication Name: Studies in Informatics and Control

Publication Date: 2020-01-01

Volume: 29

Issue: 4

Page Range: 399-410

Description:

This paper proposes an approach to the tuning of model-free controllers for the midcarpal joint angles, which are important finger angles that ensure the desired finger dynamics in prosthetic hand myoelectric-based control systems. The process in these control systems is characterized by fuzzy models that operate with myoelectric signals obtained from eight myoelectric sensors and past inputs and/or outputs, where the controlled outputs are five finger angles. Since the fuzzy models exhibit very good performance as shown in authors’ recent papers that produced evolving fuzzy models, they are used to simulate the process behaviour. The Multi Input-Multi Output (MIMO) control system structure consists of five separate Single Input-Single Output control loops with the most simple model-free controllers represented by intelligent Proportional (iP) controllers, separately designed and tuned for each finger. Digital simulation results are included to suggestively illustrate the very good performance of the control systems with iP controllers. The MIMO control system performance is compared with that of the same system but with Proportional-Integral controllers, which are optimally tuned in a model-based manner by a metaheuristic Grey Wolf Optimizer (GWO) algorithm. The fair comparison is ensured by the optimal tuning of the free parameters of iP controllers in a model-based manner using GWO.

Open Access: Yes

DOI: 10.24846/V29I4Y202002

Environmental apprehension under COP26 agreement: Examining the influence of environmental-related technologies and energy consumption on ecological footprint

Gagan Deep Sharma Magdalena Radulescu D. Balsalobre-Lorente M. Usman Amar Rao

Publication Name: International Journal of Environmental Science and Technology

Publication Date: 2024-08-01

Volume: 21

Issue: 12

Page Range: 7999-8012

Description:

Governments internationally strive to balance environmental health and economic development. Modern economies, specifically emerging ones, emphasize the importance of eco-friendly progress, where the pace of economic growth limits the ecological footprint. The ecological footprint denotes both the trajectory of natural resource extraction in the economic process and how quickly these resources can be replenished, as well as the capacity of the ecological sector to absorb waste from this process. This study examines 38 countries from 1994 to 2020 to investigate the drivers of the ecological footprint and found that environmentally related technologies harmfully influence ecological deprivation but are positively affected by gross domestic product growth. Renewable energy diminishes pollution levels, while urbanization has an insignificant effect. Imports were only found to be significant with one econometric technique, and their impact on the ecological footprint was positive. Income level affects the influence of gross domestic product on the ecological footprint. Lower-income quantiles have a more significant impact than higher quantiles. The Granger causality test shows bidirectional causality between the ecological footprint and exogenous factors: eco-technologies, gross domestic product/capita, renewable energy, urbanization, and imports.

Open Access: Yes

DOI: 10.1007/s13762-024-05526-7

The Impact of Blockchain on Medical Tourism

Horst Treiblmaier John G. Keogh Abderahman Rejeb

Publication Name: Lecture Notes in Business Information Processing

Publication Date: 2020-01-01

Volume: 403

Issue: Unknown

Page Range: 29-40

Description:

Medical tourism has witnessed significant growth over the last decade. This nascent sector creates a new tourist class with access to affordable healthcare services by combining healthcare services with tourism and hospitality. Information technology is an essential factor, which can enable the growth of medical tourism. Technology enables the search process for information about the available services, costs, hospitality, tourism and post-treatment options. However, these technologies are primarily legacy systems and lack interoperability. Several questions arise, including the potential patient-tourist ability to verify crucial factors such as the quality of care and the credentials of the medical professionals and medical facilities. Moreover, questions arise regarding patient-doctor trust, procedure and risk transparency‚ medical record privacy and other health-related hazards in specific procedures. In this conceptual paper, we investigate the potential benefits of Blockchain technology to address some of the open questions in medical tourism. We conclude that Blockchain technology can benefit medical tourism, and we lay the foundation for future research.

Open Access: Yes

DOI: 10.1007/978-3-030-67781-7_4

Practice-related problems and solutions on the field of improving worker satisfaction

Andrea Bencsik Zsuzsanna Nagy

Publication Name: Problems and Perspectives in Management

Publication Date: 2007-01-01

Volume: 5

Issue: 3

Page Range: 58-68

Description:

The economic life has been investigating for decades the question of by what kind of activity, by the control of which factors can an enterprise be successful. As a consequence of the economic development and the informational boom, the hard factors, the purchasable and money-dependent systems and resources are accessible for everyone, therefore they have ceased to compose competitive advantages i.e. discriminative success factors. Consequently, the attention have turned towards the soft, human factors. Now we know that for the success the harmonious co-operation of both sides is needed. It was exactly for the practical adaptation of this approach why the European Foundation for Quality Management called the EFQM self-assessment model into being as the basis of quality awards. It unites in one model the factors of the successful business operation and helps the organizational self-improvement by its self-assessment method. The operation of the method, however, is frequently impeded by problems which are caused by exactly the difficult handling of the previously mentioned soft factors in practice. For the sake of successful operation, a solution for these problems must be found. During our research we conducted a primary investigation, having regard to the Hungarian peculiarities, among those Hungarian-owned companies which competed for the National Quality Award. In the course of the investigation we examined their organizational processes according to the factors of the EFQM, although mainly concentrating on the working methods and mechanisms, not on results. Comparing the individual case studies we have obtained the conclusion that, among the soft factors, job satisfaction at the Hungarian-owned companies does not follow the EFQM's viewpoint on self-improvement. Therefore, after a brief theoretical review of the EFQM model and one of its elements, job satisfaction, and through an example which is relevant from the view of the handling of satisfaction, we present the satisfaction-improvement method which we developed by observing the results of the primary investigation. © Andrea Bencsik, Zsuzsanna Nagy, 2007.

Open Access: Yes

DOI: DOI not available

Integrated application of network traffic and intelligent driver models in the test laboratory analysis of autonomous vehicles and electric vehicles

I. Lakatos Zoltán Rózsás Tamás Péter Ferenc Szauter

Publication Name: International Journal of Heavy Vehicle Systems

Publication Date: 2020-01-01

Volume: 27

Issue: 1-2

Page Range: 227-245

Description:

The aim of the research is to develop a laboratory model-based diagnostic procedure that performs tests of the motion processes of autonomous electric vehicles in a particular city, on a transport network or track. The test consists of a laboratory based generation of the corresponding speed and steering angle signals, being in accordance with real driving and traffic conditions, which are also used in the test procedure. The procedure takes into account the real trajectory tracking process as well (Péter and Lakatos, 2017).

Open Access: Yes

DOI: 10.1504/IJHVS.2020.104422

DDOS Attack Mitigation Based on FPGA Implementation

Sándor Répás Ahmed Jamal Ibrahim Ahmed Jamal Ibrahim

Publication Name: International Conference on Electrical Computer and Energy Technologies Icecet 2024

Publication Date: 2024-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

With the widespread use of computer networks daily, network security has become a significant problem in the new technology era. Due to the quick growth of the World Wide Web, it is becoming more challenging for researchers to find new methods to prevent attackers from reaching their targets. The spread of malicious cyber network activity poses a significant risk to numerous organizations and inflicts substantial economic consequences on society. Distributed Denial of Service (DDoS) is a cyberattack technique that disrupts the regular traffic of the target server or system by flooding it with an abnormal flow of internet traffic from different sources. The current article explores the advantages of FPGA-based devices in network security to mitigate the effects of DDoS attacks.

Open Access: Yes

DOI: 10.1109/ICECET61485.2024.10698517

Automated synthesis of process-networks by the integration of P-graph with process simulation

Ákos Orosz Raymond R. Tan Jean Pimentel Ferenc Friedler

Publication Name: Chemical Engineering Transactions

Publication Date: 2020-01-01

Volume: 81

Issue: Unknown

Page Range: 1171-1176

Description:

Chemical process simulation has become one of the most important tools for the analysis of process networks. The simulation software currently available are not capable of automatically generating the process structure, the designer must provide it as an input for the simulation. This limits the contribution of simulation to the latter stages of design after the structure has been clearly defined. Since the P-graph methodology was originally conceived to generate process structures systematically, it can be used to produce the topology of the problem automatically based on rigorous combinatorial axioms and algorithms. In this work, the properties of two P-graph algorithms are exploited to automatically generate alternative structures in a commercial simulator, conferring the latter an improved capacity to assist during the early stage of design. Initially, the maximal structure generation (MSG) algorithm is employed to identify a rigorous superstructure from the initial set of plausible operating units. The solution structure generation (SSG) algorithm is then used to enumerate all combinatorially feasible processes included in the superstructure. Each process structure is individually exported to Aspen Plus®, where rigorous models are used to simulate its performance. A set of alternative processes ranked by their economic performance can be generated. This integrated methodology is employed in a case study for producing methyl lactate from methanol and lactic acid. This work demonstrates that integration of P-graph with rigorous simulation constitutes an enhanced tool for process synthesis that automates the generation of process alternatives, providing useful information and additional insight of the synthesis problem.

Open Access: Yes

DOI: 10.3303/CET2081196

Technology adaptation in sugarcane supply chain based on a novel p, q Quasirung Orthopair Fuzzy decision making framework

Dragan Pamucar Sanjib Biswas Vladimir Simic

Publication Name: Scientific Reports

Publication Date: 2024-12-01

Volume: 14

Issue: 1

Page Range: Unknown

Description:

The present paper contributes to the literature in two ways. First, it develops a novel p, q Quasirung Orthopair Fuzzy (p, q QOF) based group decision making framework to modify a recently developed multi-criteria decision making (MCDM) model such as Comparisons between Ranked Criteria (COBRAC). Second, the paper ruminates on the Strength-Weakness-Opportunity-Threat (SWOT) of the sugarcane supply chain (SSC) in India vis-à-vis adaptation of the advanced technologies featuring Industry 4.0. To set the sub-factors of various dimensions of SWOT, the theoretical ground of Technology-Organization-Environment (TOE) framework has been used. The sub-factors of SWOT have been derived through an informal in-depth discussion with the experts of the sugar industry. Then using a Likert five-point linguistic scale the experts rated the sub-factors based on their relative importance. To determine the weights the modified COBRAC method has been applied. In subsequent stages the reliability of the model has been tested and sensitivity analysis has been carried out to check the stability of the result. The analysis reveals that while experience, by-product utilization and high demand provides strength and create opportunities for SSC, the areas of concern are lack of variety, fragmented nature of supply chains, shortage of next-gen talent and inadequate infrastructure. However, there are enough promises for SSC. The paper shall provide impetus to strategic decision makers for the sugar industry and puts forth a new decision-making framework for the analysts.

Open Access: Yes

DOI: 10.1038/s41598-024-75528-5