Journal Guide

The Journal of Manufacturing Systems (JMSY) publishes state-of-the-art fundamental and applied research in manufacturing at the systems level. Manufacturing systems are comprised of products, equipment, people, information, control and support functions for the economical and competitive development, production, delivery and total life cycle of products to satisfy market and societal needs.Pertinent to the journal is work studying emerging manufacturing systems from the equipment level to distributed enterprises, and production challenges within and across various scales, including nano, micro and macro-scale manufacturing. Papers relevant to the scope of JMSY include, but are not limited to, the following areas:• Manufacturing Strategy and Paradigms: flexible, reconfigurable and changeable manufacturing systems; rapid manufacturing, lean manufacturing, virtual enterprises.• Manufacturing Systems Design and Operations: process planning, production planning and controls, modeling, simulation, virtual manufacturing.• Sustainable Manufacturing: life cycle of products and systems, sustainable manufacturing, design for environments and sustainability.• Quality Management: product and process quality, quality function deployment, quality by design, six sigma.• Automation, Control Systems, Human-Machine Interaction: agent-based systems, distributed and integrated control systems, intelligent systems, emergent systems, reconfigurable control, robotics, collaborative robots and human-machine interactions.• Product Development: product families, reverse engineering concept development, product design and integration with manufacturing systems, product life cycle.• Supply Chain Management and Logistics: global supply chains, dynamic supply chains, modeling and optimization.• Manufacturing Information Systems: Internet, Web-based systems, ERP (enterprise resource planning), automatic data capture, enterprise modeling.• Micro and Nano Manufacturing Systems: systems issues related to microfluidics, nanoelectronics, nano systems, microelectromechanical systems (MEMS), nanomaterials, interconnects (nano to meso to macro); energy, chemical and biological devices.Papers focused on novel manufacturing systems design, planning, modeling and control from the factory level to the extended enterprise and addressing the new global challenges are invited for the Journal of Manufacturing Systems. Papers addressing new and emerging related topics are also encouraged.

Publishing a broad coverage of original research relating to the management of manufacturing technology and combining theory with practical application.

This international journal covers the application of control theory, operations research, computer science and engineering principles to the solution of process control problems. Papers on the theory in these areas will also be accepted provided the theoretical contribution is aimed at process control.Topics covered include:• Control applications• Plant monitoring• Plant-wide control• Process control systems• Control techniques and algorithms• Process modelling and simulation• Design methodsFor more details on the International Federation of Automatic Control (IFAC), access their home page at http://www.ifac-control.orgSpecial Issues of the Journal of Process ControlThe Journal of Process Control is aiming to publish more Special Issues, especially those which deal with novel or innovative fields of research across the various facets of modelling, control and operations of process systems.Special Issues should conform to the guidelines set out below:• Special Issues will only be considered if they are within the scope of the journal.• A Special Issue typically comprises 10 to 12 papers.• Papers for Special Issues can be either invited or they could be solicited by a Call for Papers.• As with regular papers submitted to the journal those submitted to a Special Issue require full peer review.• All papers in Special Issues related to conferences need to be expanded and/or rewritten from the conference version. A reprint of a conference paper in a Special Issue is not acceptable.• The journal does not publish full conference proceedings. In this case please consider Procedia (link)Please send all suggestions for Special Issues to the Editor-in-Chief.

Journal of Reliability Science and Engineering is an international gold OA journal dedicated to publishing original high-quality papers on a wide range of topics of interest to researchers/practitioners, including but not limited to the reliability of engineered systems, electronic systems, quantum systems, intelligent systems, life systems and emerging systems.

Journal of Robotics is a peer-reviewed, open access journal that publishes original research articles as well as review articles in all areas of robotics.

Journal of Sensors is a peer-reviewed, open access journal that publishes original research and review articles related to all aspects of sensors, from the theory and design of sensing devices to the applications of sensors.

The Journal of Signal Processing Systems publishes research, survey and short papers on the design and implementation of signal processing systems, with or without VLSI circuits. Readers will find a wide range of topics covered within the subject areas of system design and implementation, algorithms, architectures, and applications. In addition to original, peer reviewed content, the journal features high quality workshop, symposium, and conference papers with an emphasis on system design. The Journal of Signal Processing Systems now accepts short papers for publication. Short papers in the Journal of Signal Processing Systems are intended for rapid dissemination of research contributions of significant novelty and quality, e.g., as an alternative to publication in high-quality conferences.

The Journal of Systems Science and Systems Engineering was founded by the Systems Engineering Society of China in 1992. Published quarterly, this international journal addresses the theory, methodology, and applications underlying systems science and systems engineering. The mission of the journal is to foster new thinking and research to help decision-makers understand the mechanisms and complexity of economic, engineering, management, social, and technological systems. Moreover, the journal helps readers discover new developments in theory and practice that can improve the performance of systems.

The Journal of The Franklin Institute has an established reputation for publishing high-quality papers in the field of engineering and applied mathematics. Its current focus is on communications, signal processing, control systems, and their applications. All submitted papers are peer-reviewed. The Journal will publish original research papers and research review papers of substance. Papers and special focus issues are judged upon possible lasting value, which has been and continues to be the strength of the Journal of The Franklin Institute.Benefits to authorsWe also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services.Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our support pages: http://support.elsevier.com

The Journal of the ACM (JACM) provides coverage of the most significant work going on in computer science, broadly construed. It is a peer-reviewed journal, published six times a year by ACM.We publish original research papers of lasting value in computer science. To be accepted, a paper must be judged to be truly outstanding in its field and to be of interest to a wide audience. We are particularly interested in work at the boundaries, both the boundaries of subdisciplines of computer science and the boundaries between computer science and other fields.

• Combustion engineering and associated technologies; process heating; power generation; engines and propulsion; emissions and environmental pollution control; clean coal technologies; carbon abatement technologies
• Emissions and environmental pollution control; safety and hazards;
• Clean coal technologies; carbon abatement technologies, including carbon capture and storage, CCS;
• Petroleum engineering and fuel quality, including storage and transport
• Alternative energy sources; biomass utilisation and biomass conversion technologies; energy from waste, incineration and recycling
• Energy conversion, energy recovery and energy efficiency; space heating, fuel cells, heat pumps and cooling systems
• Energy storage

The journal's coverage reflects changes in energy technology that result from the transition to more efficient energy production and end use together with reduced carbon emission.

Kybernetes is an important forum for the exchange of knowledge and information among all those who are interested in cybernetics and systems thinking.

The International Journal of Automation and Computing (IJAC) publishes papers on original theoretical and experimental research and development in automation and computing. The scope of the journal is extensive. Topics include but are not limited to: Artificial intelligence, Automatic control, Bio-informatics, Computer science, Information technology, Modelling and simulation, Networks and communications, Optimization and decision, Pattern recognition, Robotics, Signal processing, Systems engineering.

Machine Learning: Engineering is a multidisciplinary open access journal dedicated to the application of machine learning (ML), artificial intelligence (AI) and data-driven computational methods across all areas of engineering. The journal also publishes research that presents methodological, theoretical, or conceptual advances in machine learning and AI with applications to engineering.

Machines (ISSN 2075-1702) is an international, peer-reviewed journal on machinery and engineering. It publishes research articles, reviews, short communications and letters. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. Full experimental and/or methodical details must be provided. There are, in addition, unique features of this journal: manuscripts regarding research proposals and research ideas will be particularly welcomed electronic files or software regarding the full details of the calculation and experimental procedure - if unable to be published in a normal way - can be deposited as supplementary material

The analysis and improvement of performance in complex systems, the adaptation of plants to new demands or conditions, and the design of 'optimal' systems are a few of the challenges confronting engineers and systems scientists today. In many cases solutions to problems in areas such as these may be found through the use of appropriate mathematical models. The dynamic case, whether continuous time, discrete time of discrete-event, deterministic or stochastic, presents special challenges, and derivation of an appropriate solution depends strongly on the proper initial formulation of the goals and constraints. Increasingly this demands an interdisciplinary approach to modelling. Models can take the form of sets of equations, graphs or nets, or some combination of elements such as these. The derivation, combination, simplification and validation of models and sub-models are the main topics of Mathematical and Computer Modelling of Dynamical Systems, which provides an international forum for the presentation of new ideas in modelling and for the exchange of experience and knowledge through descriptions of specific applications. Original work will be published as regular papers or short notes dealing with a range of topics including the following:Processes and methods for model formulation, identification, development, reduction and validation etc. (including guidelines and check lists)Automation of modelling and software aid for modellingThe relationship between computational/simulation methods, the underlying mathematical formulation and real-world modelling problemsQualitative modelling including fuzzy and iterative approaches to modellingModular modelling (especially applied to interdisciplinary fields such as mechatronic or controlled environmental systems)Learning networks in modellingUncertainties in modellingThe relationship between the modelling approach and problem solutionsComparisons of methods for modelling, model reduction and model validationeffects of modelling errors on overall performance of engineering system (e.g. relationship between modelling and control design)Applications in the field of engineering systemsApplications in other fields (such as environmental systems, biotechnology etc.) provided the methods or ideas presented are relevant in a number of areas or are of interest from a theoretical point of viewCase studies allowing a comparison of ideas or methods Consequently, computer simulation and description of mathematical methods and/or algorithms are restricted to the field of modelling and to the consequences of modelling. Only the most important facts about the latter should be discussed but not all the details of modelling languages or about mathematical methods and/or algorithms which is used to solve the task for which the (simulation) model was created. Modelling of the task including the modelling of the dynamic system, of restrictions, of goals etc. and the implications of the model used on solution and on solution methods are of primary interest.Therefore, papers dealing with applications are accepted only when the purpose of the model, the assumptions (explicit and implicit) made in its development and the precise process of model validation are discussed carefully. Authors are requested to concentrate an those aspects which are of interest to a large community of engineers and scientists and to organize the paper so that it is stimulating and easily readable for engineers and scientists working in a wide range of application areas. Further, a manuscript should be self-contained without being lengthy i.e. its contents should be able to be understood by readers that are not experts in that specific area of application and without consulting many articles in the literature.INCREASED 2009 5-year Impact Factor: 0.623169; 2010 Thomson Reuters, 2009 Journal Citation Reports174;ReadershipEngineers - especially electrical and control engineers, aerospace engineers, mechanical engineers, marine and offshore engineers, chemical engineers, safe engineers and civil engineers, mathematicians and computer scientists who are involved with applications of mathematical and computer modelling in the physical sciences, in biology, in medicine, in ecology and in other fields such as economics. All published research articles in this journal have undergone rigorous peer review, based on initial editor screening and anonymous refereeing by independent expert referees.DisclaimerTaylor & Francis makes every effort to ensure the accuracy of all the information (the 8220;Content8221;) contained in its publications. However, Taylor & Francis and its agents and licensors make no representations or warranties whatsoever as to the accuracy, completeness or suitability for any purpose of the Content and disclaim all such representations and warranties whether express or implied to the maximum extent permitted by law. Any views expressed in this publication are the views of the authors and are not the views of Taylor & Francis.

Mathematics of Control, Signals, and Systems (MCSS) publishes original and high-quality research papers concerned with mathematically rigorous system theoretic aspects of control and signal processing.

Authors of a paper wishing to enquire about the scope of the journal or the suitability of a particular topic are encouraged to contact the Editors informally, preferably by email, prior to submission. Please e-mail Professor Lars Grüne at: lars.gruene@uni-bayreuth.de. Authors can submit their papers online (see link to right).