Journal Information
Mathematical Problems in Engineering
http://www.hindawi.com/journals/mpe/
Impact Factor:
0.644
Publisher:
Hindawi
ISSN:
1024-123X
Viewed:
4202
Tracked:
5

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Call For Papers
Mathematical Problems in Engineering publishes results of rigorous engineering research carried out using mathematical tools. Contributions containing formulations or results related to applications are also encouraged. The primary aim of Mathematical Problems in Engineering is rapid publication and dissemination of important mathematical work which has relevance to engineering. All areas of engineering are within the scope of the journal. In particular, aerospace engineering, bioengineering, chemical engineering, computer engineering, electrical engineering, industrial engineering and manufacturing systems, and mechanical engineering are of interest. Mathematical work of interest includes, but is not limited to, ordinary and partial differential equations, stochastic processes, calculus of variations, and nonlinear analysis.

The most recent Impact Factor for Mathematical Problems in Engineering is 1.383 according to 2012 Journal Citation Reports released by Thomson Reuters (ISI) in 2013.

Mathematical Problems in Engineering currently has an acceptance rate of 43%. The average time between submission and final decision is 53 days and the average time between acceptance and final publication is 42 days. 

Mathematical Problems in Engineering is a broad-based journal which publishes articles of interest in all engineering disciplines. Mathematical Problems in Engineering publishes results of rigorous engineering research carried out using mathematical tools. Contributions containing formulations or results related to applications are also encouraged. The primary aim of Mathematical Problems in Engineering is rapid publication and dissemination of important mathematical work which has relevance to engineering. All areas of engineering are within the scope of the journal. In particular, aerospace engineering, bioengineering, chemical engineering, computer engineering, electrical engineering, industrial engineering and manufacturing systems, and mechanical engineering are of interest. Mathematical work of interest includes, but is not limited to, ordinary and partial differential equations, stochastic processes, calculus of variations, and nonlinear analysis.
Last updated by Xin Yao in 2017-08-21
Special Issues
Special Issue on Energy Aware Scheduling for Sustainable Manufacturing Systems
Submission Date: 2017-09-29

Manufacturing industries are facing new environmental challenges because of greater awareness of the social and economic cost of energy and stricter levels of governmental legislation and policy. As a result, it is important that industrial processes are optimized in terms of both profitability and mid- to long-term sustainability. Indeed, industrial sustainability plays a fundamental role for next-generation manufacturing systems and, accordingly, energy efficiency interventions are gaining practical interest as a vital component of broader industrial sustainability strategies and sustainable manufacturing implementation. Energy aware scheduling is thus considered a fundamental issue for sustainable manufacturing systems (SMS) to improve efficiency of input energy usage and energy consumption. The objective of this special issue is to provide a snapshot of the status, potential, challenges, and recent developments of mathematical solutions for solving energy aware scheduling in more sustainable manufacturing systems. We invite researchers to contribute original research articles as well as review articles that will stimulate the continuing efforts to improve the current state of art within the field from the standpoint of mathematical modelling and solution approaches. Potential topics include but are not limited to the following: Heuristic and metaheuristic techniques for energy aware scheduling Energy efficient scheduling in SMS Mathematical solutions for energy aware scheduling Robust and energy aware scheduling Centralized mathematical models for energy efficient scheduling in SMS Distributed models for energy efficient scheduling in SMS Comparison of centralized versus distributed models for energy efficient scheduling in SMS Search methods from machine and process perspectives Authors can submit their manuscripts through the Manuscript Tracking System at https://mts.hindawi.com/submit/journals/mpe/eass/. Manuscript Due Friday, 29 September 2017 First Round of Reviews Friday, 22 December 2017 Publication Date Friday, 16 February 2018
Last updated by Dou Sun in 2017-04-30
Special Issue on Advanced Control Methods for Systems with Fast-Varying Disturbances and Applications
Submission Date: 2017-09-29

In most real-world applications, disturbances, which affect stability and performance of the controlled system, are unavoidable. Not only do disturbances arise from external environments, but uncertainties such as modelling errors and parameter perturbations can also be considered as disturbances. Unfortunately, disturbances are not measurable or are too expensive to measure. Thus, a simple solution to the control problem involving such disturbances is to estimate the disturbances by filtering (preprocessing) and to design an advanced control law based on this estimation. Although this approach has attracted much attention of numerous researchers in various fields of study, most estimation techniques rely on the assumption that the disturbance is slowly varying or constant. However, for fast-varying disturbances and systems with fast dynamics, these techniques may not be adequate to stabilize the system and achieve desired objectives such as tracking and regulation. Therefore, more advanced and recent techniques are needed to solve such problems. Among some of the recent methods that have been developed are the disturbance observer based control and high-gain observer feedback methods. In addition, adaptive techniques with learning systems, including neurofuzzy networks, are especially effective in handling systems with unknown nonlinearities, modelling errors, and unknown disturbances/noises. It is therefore the purpose of this special issue to bring together recent research results, reviews, and applications of some of the recent advanced techniques that focus on the design, analysis, and application of novel control schemes for dynamic systems subject to fast-varying disturbances. Potential topics include but are not limited to the following: Fast-varying disturbance modelling and estimation techniques Fast-varying disturbance observer design Fast-varying disturbance observer-based control scheme design High-gain observer-based design methods Robust and adaptive control methods for systems with fast-varying disturbances and/or modelling errors Application of recent control schemes for disturbed systems such as electric motor drives, renewable energy conversion systems, robotic systems, and flexible structures Intelligent filtering methods Advanced methods for disturbance attenuation, faults detection, localization, and classification Applications of recent techniques of artificial intelligence and learning systems in control systems design with disturbances Authors can submit their manuscripts through the Manuscript Tracking System at https://mts.hindawi.com/submit/journals/mpe/acms/. Manuscript Due Friday, 29 September 2017 First Round of Reviews Friday, 22 December 2017 Publication Date Friday, 16 February 2018
Last updated by Dou Sun in 2017-04-30
Special Issue on Computational Intelligence in Emerging Solutions for Multimedia Security
Submission Date: 2017-09-29

The end of the 20th century was marked by an extraordinary technical revolution ranging from analog to numerical. An enormous amount of media in the form of text, audio, speech, music, image, and video is appearing in the networks field; meanwhile, there is an increasing trend in multimedia distributed computing, multimedia databases, and multimedia communications. However, the advantages of this revolution were not achieved without drawbacks, such as illegal copying and distribution of multimedia documents. As a consequence, the subject of multimedia security has attracted intensive research activities. Developments in computational intelligence provide promising opportunities for multimedia security. Recently, computational intelligence methods have been employed on various aspects of multimedia security such as multimedia encryption, digital watermarking, steganalysis, and hashing multimedia. The purpose of this special issue is to explore the possibilities of applying the following aspects (not limited to the given topics) of computational intelligence to multimedia security: evolutionary computation, neural networks, fuzzy Logic, and learning theory. The aim of this feature topic is to bring together the research accomplishments of academics, practitioners, and researchers in the area of computational intelligence and multimedia security. We encourage prospective authors to contribute with their work to extend the existing knowledge in the field. Original manuscripts are being sought to present new research results on the theory, algorithms, methods, and practice on relevant topics. The special issue seeks original contributions on usage of the abovementioned technologies of computational intelligence for multimedia security. Potential topics include but are not limited to the following: Metaheuristic optimization techniques used for multimedia security (encryption, watermarking, fingerprinting, hashing, etc.) Mathematical models for multimedia security (encryption, watermarking, fingerprinting, hashing, etc.) Emerging solutions based on chaotic theory for multimedia encryption Cryptanalysis and steganalysis based on mathematical issue Multimedia manipulation and multimedia forensics Emerging technologies in multimedia security Authors can submit their manuscripts through the Manuscript Tracking System at https://mts.hindawi.com/submit/journals/mpe/weoe/. Manuscript Due Friday, 29 September 2017 First Round of Reviews Friday, 22 December 2017 Publication Date Friday, 16 February 2018
Last updated by Dou Sun in 2017-04-30
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