Journal Guide

Speech Communication is a publication of the European Association for Signal Processing (EURASIP), which can be located at http://www.eurasip.org and the International Speech Communication Association (ISCA), which can be located at http://www.isca-speech.org.Speech Communication is an interdisciplinary journal whose primary objective is to fulfil the need for the rapid dissemination and thorough discussion of basic and applied research results. In order to establish frameworks to inter-relate results from the various areas of the field, emphasis will be placed on viewpoints and topics of a transdisciplinary nature. The editorial policy and the technical content of the Journal are the responsibility of the Editors and the Institutional Representatives. The Institutional Representatives assist the Editors in the definition and the control of editorial policy as well as in maintaining connections with scientific associations, international congresses and regional events. The Editorial Board contributes towards the gathering of material for publication and assists the Editors in the editorial process.Editorial Policy:The journal's primary objectives are:• to present a forum for the advancement of human and human-machine speech communication science;• to stimulate cross-fertilization between different fields of this domain;• to contribute towards the rapid and wide diffusion of scientifically sound contributions in this domain.Subject Coverage:Subject areas covered in this journal include:• Basics of oral communication and dialogue: modelling of production and perception processes; phonetics and phonology; syntax; semantics and pragmatics of speech communication; cognitive aspects.• Models and tools for language learning: functional organisation and developmental models of human language capabilities; acquisition and rehabilitation of spoken language; speech & hearing defects and aids.• Speech signal processing: analysis, coding, transmission, enhancement, robustness to noise.• Models for automatic speech communication: speech recognition; language identification; speaker recognition; speech synthesis; oral dialogue.• Development and evaluation tools: monolingual and multilingual databases; assessment methodologies; specialised hardware and software packages; field experiments; market development.• Multimodal human computer interface: using speech I/O in combination with other modalities, e.g., gesture and handwriting.• Forensic speech science: forensic voice comparison; forensic analysis of disputed utterances; speaker identification by earwitnesses.

Statistics and Computing is a bi-monthly refereed journal that publishes papers covering the interface between the statistical and computing sciences.

The journal includes techniques for evaluating analytically intractable problems, such as bootstrap resampling, Markov chain Monte Carlo, sequential Monte Carlo, approximate Bayesian computation,  search and optimization methods, stochastic simulation and Monte Carlo, graphics, computer environments, statistical approaches to software errors, information retrieval, machine learning, statistics of databases and database technology, huge data sets and big data analytics, computer algebra, graphical models, image processing, tomography, inverse problems and uncertainty quantification.

Structural and Multidisciplinary Optimization ·        explores a wide range of topics dealing with optimization in solid (structural) and fluid mechanics (including CFD)·        covers multidisciplinary optimization when one discipline deals with structures or fluids·        examines closely related fields that are relevant to structural or fluid optimization·        is the official journal of the International Society of Structural and Multidisciplinary Optimization (ISSMO)The journal’s scope ranges from mathematical foundations of the field to algorithm and software development, and from benchmark examples to case studies of  practical applications in structural, aero-space, mechanical, civil, chemical, naval and bio-engineering. Fields such as computer-aided design and manufacturing, reliability analysis, artificial intelligence, system identification and modeling, inverse processes, computer simulation, bio-mechanics, bio-medical applications, nano-technology, MEMS, op

Surveys in Operations Research and Management Science is published twice a year in journal format, following on from the renowned Handbooks in Operations Research and Management Science series.The journal provides state-of-the-art surveys in operations research and management science. These surveys enable educators, researchers and students to obtain an overview of subjects of current interest as well as important recent developments in established areas.What makes a good survey?The following is a list of characteristics we feel that an ideal SORMSsubmission should satisfy.1. Choice of topic:A survey topic can be both on theory and applications of OR/MS and can be of several types. For example, a survey can focus on• Results that are considered standards by experts in the community but which not have been documented in textbooks. • Standard results which have been, in some way, streamlined; for example new proof techniques leading to more elegant derivations of known results. • New developments in methodology or new application areas (hot topics).Accepted SORMS submissions should be of significant interest to the OR/MS community. The associated literature should be of sufficient significance and, from an OR perspective, originality to warrant a survey in our journal. In particular, a topic should be sufficiently broad. Surveys focusing on the work of a single author or single group of authors may be possible, but will be considered with extra care.2. Choice of audience and writing: The readership of SORMS will be broad, ranging from graduate students to senior researchers, and from OR/MS professionals to applied mathematicians. An ideal SORMS survey should be appealing to a wide enough subset of this audience.A survey paper is not written in the same way as a research paper. Technical details that are not crucial should be addressed on a sufficiently high level, readers interested in these can be referred to particular papers. Examples of good survey papers can be found in the Handbook series. Other relevant guidelines are:• A good survey does not only focus on the work of the author but provides an appropriate broader context. • It takes more effort to write a short survey than a long survey. • A good survey should have intrinsic added value, in the sense that the sum should be stronger than its parts. For example, it may provide new structure, point out connections not noticed before, or a new context for old results. • It helps if a survey is written by an expert that masters the subject enough to provide newcomers a well guided tour through a new area.

Sustainable computing is a rapidly expanding research area spanning the fields of computer science and engineering, electrical engineering as well as other engineering disciplines. The aim of Sustainable Computing: Informatics and Systems (SUSCOM) is to publish the myriad research findings related to energy-aware and thermal-aware management of computing resource. Equally important is a spectrum of related research issues such as applications of computing that can have ecological and societal impacts. SUSCOM publishes original and timely research papers and survey articles in current areas of power, energy, temperature, and environment related research areas of current importance to readers. SUSCOM has an editorial board comprising prominent researchers from around the world and selects competitively evaluated peer-reviewed papers.Making computing sustainable - Software systems perspective:• Power-aware software• Code profiling and transformation for power management• Power-aware middleware• Multimedia systems• Scheduling and allocationComputing for sustainability - Use of computing to make the world a sustainable place:• Use of sensors for environmental monitoring• Smart control for eco-friendly buildings• Green Data Centers and Enterprise ComputingRe-inventing algorithms and applications for sustainability:• Theoretical aspect of energy, power, and temperature• Power-aware applications• Resource management to optimize performance and power• Power implications for portable and mobile computing• Algorithms for reduced power, energy and heat for high-performance computingModeling and evaluation of sustainable systems:• Reliability of Power-aware computers• Runtime systems that assist in power saving• Models for collective optimization of power and performance• Monitoring tools for power and performance of parallel and distributed systemsSustainable hardware platforms and devices - Hardware and architecture perspective:• Power aware networking• Real-time systems• Power-efficient architectures• Efficient circuit design for energy harvesting• Power management in memory, disk, storage and other peripheral devices• Configurable and renewable energy• Low power electronics• Embedded systems, ASICs and FPGSs• Power leakage and dissipationPlease submit your article via http://ees.elsevier.com/suscom/

Sustainable Energy & Fuels publishes high quality scientific research that will drive the development of sustainable energy technologies, with a particular emphasis on innovative concepts and approaches. The journal is an essential resource for energy researchers and cuts across chemistry and its interfaces with materials science, physics and biology – covering evolving and emerging areas such as the following: • Solar energy conversion including photovoltaics and artificial photosynthesis • Energy storage including batteries, flow batteries and supercapacitors • Catalysis for energy technologies, including the sustainable synthesis of fuels and chemicals, and molecular/bioinspired catalysis • Electrocatalysis, photocatalysis and thermal catalysis • Fuel cells • Hydrogen production, storage and distribution • Carbon dioxide utilisation, including fuels and chemicals from carbon dioxide • Biorefining and Biofuels • Capacitive desalination and desalination batteries • Other sustainable energy conversion technologies including thermochemical, piezoelectric and thermoelectric materials and devices Energy science and technologies that avoid the use of critical raw elements or detrimental environmental effects during preparation, manufacture and end-of-life are particularly encouraged.

Swarm Intelligence is the principal peer reviewed publication dedicated to reporting research and new developments in this multidisciplinary field. The journal publishes original research articles and occasional reviews on theoretical, experimental, and practical aspects of swarm intelligence. It offers readers reports on advances in the understanding and utilization of systems that are based on the principles of swarm intelligence. Emphasis is given to such topics as the modeling and analysis of collective biological systems; application of biological swarm intelligence models to real-world problems; and theoretical and empirical research in ant colony optimization, particle swarm optimization, swarm robotics, and other swarm intelligence algorithms. Articles often combine experimental and theoretical work.

Introduction:To tackle complex real world problems, scientists have been looking into natural processes and creatures - both as model and metaphor - for years. Optimization is at the heart of many natural processes including Darwinian evolution, social group behavior and foraging strategies. Over the last few decades, there has been remarkable growth in the field of nature-inspired search and optimization algorithms. Currently these techniques are applied to a variety of problems, ranging from scientific research to industry and commerce. The two main families of algorithms that primarily constitute this field today are the evolutionary computing methods and the swarm intelligence algorithms. Although both families of algorithms are generally dedicated towards solving search and optimization problems, they are certainly not equivalent, and each has its own distinguishing features. Reinforcing each other's performance makes powerful hybrid algorithms capable of solving many intractable search and optimization problems.About the journal:Swarm and Evolutionary Computation is the first peer-reviewed publication of its kind that aims at reporting the most recent research and developments in the area of nature-inspired intelligent computation based on the principles of swarm and evolutionary algorithms. It publishes advanced, innovative and interdisciplinary research involving the theoretical, experimental and practical aspects of the two paradigms and their hybridizations. Swarm and Evolutionary Computation is committed to timely publication of very high-quality, peer-reviewed, original articles that advance the state-of-the art of all aspects of evolutionary computation and swarm intelligence. Survey papers reviewing the state-of-the-art of timely topics will also be welcomed as well as novel and interesting applications.Topics of Interest:Topics of interest include but are not limited to: Genetic Algorithms, and Genetic Programming, Evolution Strategies, and Evolutionary Programming, Differential Evolution, Artificial Immune Systems, Particle Swarms, Ant Colony, Bacterial Foraging, Artificial Bees, Fireflies Algorithm, Harmony Search, Artificial Life, Digital Organisms, Estimation of Distribution Algorithms, Stochastic Diffusion Search, Quantum Computing, Nano Computing, Membrane Computing, Human-centric Computing, Hybridization of Algorithms, Memetic Computing, Autonomic Computing, Self-organizing systems, Combinatorial, Discrete, Binary, Constrained, Multi-objective, Multi-modal, Dynamic, and Large-scale Optimization.Applications:Furthermore, the journal fosters industrial uptake by publishing interesting and novel applications in fields and industries dealing with challenging search and optimization problems from domains such as (but not limited to): Aerospace, Systems and Control, Robotics, Power Systems, Communication Engineering, Operations Research and Decision Sciences, Financial Services and Engineering, (Management) Information Systems, Business Intelligence, internet computing, Sensors, Image Processing, Computational Chemistry, Manufacturing, Structural and Mechanical Designs, Bioinformatics, Computational Biology, Mathematical and Computational Psychology, Cognitive Neuroscience, Brain-computer Interfacing, Future Computing Devices, Nonlinear statistical and Applied Physics, and Environmental Modeling and Software.

Symmetry (ISSN 2073-8994), an international and interdisciplinary scientific journal, publishes reviews, regular research papers and short notes. Our aim is to encourage scientists to publish their experimental and theoretical research 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, so that results can be reproduced. There are in addition three unique features: Manuscripts regarding research proposals and research ideas will be particularly welcomed. Comments on any related papers published in this journal and other journals can be published as short letters. Electronic files regarding the full details of the calculation and experimental procedure, if unable to be published in a normal way, will be deposited as supplementary material.