Welcome from the Chair
The 1st International Electronic Conference on Entropy and its Applications will be held from 3–21 November 2014 in the internet environment. The objective of this event is to bring scientists and engineers working in the field onto a common platform where they can present and discuss their recent contributions without the need to travel.As this meeting will not require physical presence in any particular location, we are expecting a large attendance from all over the world.
Contributions from both theoretical and applied perspectives of entropy will be covered. Submissions focusing on conceptual and methodological developments, as well as new applications of entropy and information theory will be covered. Some of the main topics of interest, also shared with those of the Entropy Journal, are listed below:
- Physics and Engineering: Thermodynamics, Statistical Mechanics, the Second Law of Thermodynamics, Reversibility, Quantum Mechanics, Black Hole Physics, Maximum Entropy Methods, Maximum Entropy Production, Evolution of the Universe
- Information Theory: Shannon Entropy, Kullback-Leibler Divergence, Channel Capacity, Renyi and other Entropies, and Applications
- Complex Systems: Self-Organization, Chaos and Nonlinear Dynamics, Simplicity and Complexity, Networks, Symmetry Breaking, Similarity
- Chemistry and Biology: Chemical Networks, Energy, Enthalpy, Maximum Entropy Methods, Biological Networks, Evolution, DNA and RNA, Diversity
- Machine Learning and Systems Theory: Artificial Intelligence, Neural Networks, Cybernetics, Robotics, Man–Machine Interfaces, Causality
- Posters:In this section posters can be presented stand-alone, i.e. without a proceedings papers that goes with it. Posters will be available online on this website during and after the e-conference. However, posters will not be added to the proceedings of the conference.
Accepted papers will be published in the proceedings of the conference, and selected papers will be considered for publication in Entropy, which is an open access publication journal of MDPI in the field of Entropy (http://www.mdpi.com/journal/entropy).The 1st International Electronic Conference on Entropy and Its Applications will be held at www.sciforum.net/conference/ecea-1, on a platform developed by MDPI to organize electronic conferences. I would like to welcome you to this event with the hope of starting a successful conference series in the future, Best regards,
Deniz Gencaga, Ph.D.
Carnegie Mellon University
Deniz Gencaga received his Ph.D. degree in Electrical and Electronic Engineering from Bogazici University, in 2007. Upon graduation, he was offered a postdoctoral position at The University at Albany (SUNY), where he developed advanced statistical signal processing methods to characterize complex organic molecules in space and identify the causal relationships between earth climate variables, in two different NASA funded projects. Between 2009 and 2011, he continued his research at The National Oceanic and Atmospheric Administration’s Cooperative Remote Sensing Science and Technology Center (NOAA-CREST) at The City College of New York as a Research Associate. After working as a postdoctoral fellow on various machine learning projects at The Center of Space Sciences at The University of Texas at Dallas in 2012, he joined the Alcoa Technology in December 2012 as a Senior Statistical Scientist. He continues his career at the Carnegie Mellon University. He was granted the NATO A2 fellowship, best student paper award of IEEE-SIU and ERCIM "Alain Bensoussan" fellowship. He is a Senior Member of IEEE and he has been a member of numerous professional societies. Currently, he is serving as the chair of the joint signal processing/control systems societies of the IEEE Pittsburgh local chapter. He was one of the local organizers of the 27th International Conference on Bayesian Inference and Maximum Entropy Methods in Science and Engineering. He has served as a reviewer in various journals and at the editorial board of the Entropy journal. He has published peer-reviewed research papers and abstracts in numerous journals and conferences and he gave invited talks at various institutes and universities. He taught as a guest lecturer and mentored graduate students both at the University of Texas and University at Albany. His main research areas include Bayesian signal processing, statistical machine learning, data mining, knowledge discovery, computational intelligence, information theory and smart systems.
Call for Papers
e-conferences, virtually anywhere.
1st International Electronic Conference on Entropy and its Applications
The 1st International Electronic Conference on Entropy and its Applications will be held from 3–21 November 2014 in the internet environment. The objective of this event is to bring scientists and engineers working in the field onto a common platform where they can present and discuss their recent contributions without the need to travel. All proceedings will be held online at http://www.sciforum.net/conference/ecea-1.
Contributions from both theoretical and applied perspectives of entropy will be covered. Submissions focusing on conceptual and methodological developments, as well as new applications of entropy and information theory will be covered in five topical sessions focusing on:
- Physics and Engineering (Section A)
- Information Theory (Section B)
- Complex Systems (Section C)
- Chemistry and Biology (Section D)
- Machine Learning and Systems Theory (Section E)
The conference will be completely free of charge—both to attend, and for scholars to upload and present their latest work on the conference platform. There will be a possibility to submit selected papers to the journal Entropy (ISSN 1099-4300; 1.564 (2013); 5-Year Impact Factor: 1.530 (2013); http://www.mdpi.com/journal/entropy). ECEA offers you the opportunity to participate in this international, scholarly conference without having the concern or expenditure of travel — all you need is your computer and access to the Internet. We would like to invite you to “attend” this conference by presenting your latest work.
Abstracts (in English) should be submitted by 12 September 2014 online at http://www.sciforum.net/login. For accepted abstracts, the full paper can be submitted by 10 October 2014. The conference itself will be held 3–21 November 2014.
Paper Submission Guidelines
For information about the procedure for submission, peer-review, revision and acceptance of conference proceedings papers, please refer to the section "Instructions for Authors": http://www.sciforum.net/conference/ecea-1/instructions.
Instructions for Authors
- Scholars interested in participating with the conference can submit their abstract (about 200-300 words covering the areas of manuscripts for the proceedings issue) online on this website until 12 September 2014.
- The Conference Committee will pre-evaluate, based on the submitted abstract, whether a contribution from the authors of the abstract will be welcome for the 1st International Electronic Conference on Entropy and Its Applications. All authors will be notified by 26 September 2014 about the acceptance of their abstract.
- If the abstract is accepted for this conference, the author is asked to submit his/her manuscript, optionally along with a PowerPoint and/or video presentation of his/her paper (only PDF), until the submission deadline of 10 October 2014.
- The manuscripts and presentations will be available on sciforum.net/conference/ecea-1 for discussion and rating during the time of the conference 3–21 November 2014.
- The Open Access Journal Entropy will publish the proceedings of the conference as a Special Issue and accepted papers will be published in the proceedings of the conference. After the conference, the Conference Committee will select manuscripts that may be included for publication in this Special Issue.
Manuscripts for the proceedings issue must have the following organization:
- Full author names
- Affiliations (including full postal address) and authors' e-mail addresses
- Results and Discussion
Manuscripts should be prepared in MS Word or any other word processor and should be converted to the PDF format before submission. The publication format will be PDF. The manuscript should count at least 3 pages (incl. figures, tables and references). There is no page limit on the length, although authors are asked to keep their papers as concise as possible.
Authors are encouraged to prepare a presentation in PowerPoint or similar software, to be displayed online along with the Manuscript. Slides, if available, will be displayed directly in the website using Sciforum.net's proprietary slides viewer. Slides can be prepared in exactly the same way as for any traditional conference where research results can be presented. Slides should be converted to the PDF format before submission so that our process can easily and automatically convert them for online displaying.
Besides their active participation within the forum, authors are also encouraged to submit video presentations. If you are interested in submitting, please contact the conference organizer – firstname.lastname@example.org to get to know more about the procedure. This is an unique way of presenting your paper and discuss it with peers from all over the world. Make a difference and join us for this project!
Submission: Manuscripts should be submitted online at www.sciforum.net/login by registering and logging in to this website.
- MS Word: Manuscript prepared in MS Word must be converted into a single file before submission. When preparing manuscripts in MS Word, the Electronic Conference on Entropy and Its Applications Microsoft Word template file (see download below) must be used. Please do not insert any graphics (schemes, figures, etc.) into a movable frame which can superimpose the text and make the layout very difficult.
- Accepted File Formats
- LaTeX: ensure to send a copy of your manuscript as a PDF file also, if you decided to use LaTeX. When preparing manuscripts in LaTeX, please use the MDPI LaTeX template files.
For LaTeX support, contact Ms Janine Daum (email@example.com).
- Paper Format: A4 paper format, the printing area is 17.5 cm x 26.2 cm. The margins should be 1.75 cm on each side of the paper (top, bottom, left, and right sides).
- Formatting / Style: The paper style of the Journal Entropy should be followed. You may download the template file to prepare your paper. The full titles and the cited papers must be given. Reference numbers should be placed in square brackets [ ], and placed before the punctuation; for example  or [1-3], and all the references should be listed separately and as the last section at the end of the manuscript.
- Authors List and Affiliation Format: Authors' full first and last names must be given. Abbreviated middle name can be added. For papers written by various contributors a corresponding author must be designated. The PubMed/MEDLINE format is used for affiliations: complete street address information including city, zip code, state/province, country, and email address should be added. All authors who contributed significantly to the manuscript (including writing a section) should be listed on the first page of the manuscript, below the title of the article. Other parties, who provided only minor contributions, should be listed under Acknowledgments only. A minor contribution might be a discussion with the author, reading through the draft of the manuscript, or performing English corrections.
- Figures, Schemes and Tables: Authors are encouraged to prepare figures and schemes in color. Full color graphics will be published free of charge. Figure and schemes must be numbered (Figure 1, Scheme I, Figure 2, Scheme II, etc.) and a explanatory title must be added. Tables should be inserted into the main text, and numbers and titles for all tables supplied. All table columns should have an explanatory heading. Please supply legends for all figures, schemes and tables. The legends should be prepared as a separate paragraph of the main text and placed in the main text before a table, a figure or a scheme.
For further enquiries please contact us at firstname.lastname@example.org.
It is the authors' responsibility to identify and declare any personal circumstances or interests that may be perceived as inappropriately influencing the representation or interpretation of clinical research. If there is no conflict, please state here "The authors declare no conflict of interest." This should be conveyed in a separate "Conflict of Interest" statement preceding the "Acknowledgments" and "References" sections at the end of the manuscript. Financial support for the study must be fully disclosed under "Acknowledgments" section. It is the authors' responsibility to identify and declare any personal circumstances or interests that may be perceived as inappropriately influencing the representation or interpretation of clinical research. If there is no conflict, please state here "The authors declare no conflict of interest." This should be conveyed in a separate "Conflict of Interest" statement preceding the "Acknowledgments" and "References" sections at the end of the manuscript. Financial support for the study must be fully disclosed under "Acknowledgments" section.Copyright MDPI AG, the publisher of the Sciforum.net platform, is an open access publisher. We believe that authors should retain the copyright to their scholarly works. Hence, by submitting a Communication paper to this conference, you retain the copyright of your paper, but you grant MDPI AG the non-exclusive right to publish this paper online on the Sciforum.net platform. This means you can easily submit your paper to any scientific journal at a later stage and transfer the copyright to its publisher (if required by that publisher).
SectionsA. Physics and Engineering
B. Information Theory
C. Complex Systems
D. Chemistry and Biology
E. Machine Learning and Systems Theory
List of accepted submissions (36)
|Optimization Performance of Irreversible Refrigerators Based on Evolutionary Algorithm||Mohammad Hossein Ahmadi Mohammad Ali Ahmadi Milad Ashuri||N/A||26 Apr 2018||Show|
|In early works done by authors, performance analysis of refrigeration systems such as power input, refrigeration load and coefficient of performance (COP) was investigated. In this article a new function called "Coefficient of Performance Exergy" or COPE has been introduced. Two objective functions of coefficient of performance exergy and exergy destruction are optimized simultaneously using the multi-objective optimization algorithm NSGAII. COPE has been maximized and exergy destruction has been minimized in order to get the best performance. Decision making has been done by means of two methods of LINAMP and TOPSIS. Finally an error analysis done for optimized values shows that LINAMP method is preferable against TOPSIS method.|
|Maximum Entropy Approach for Reconstructing Bivariate Probability Distributions||Gholamhossein Yari Zahra Amini Farsani||N/A||26 Apr 2018||Show|
|The most considerable purpose for this study is to provide a useful algorithm combined of Maximum Entropy Method (MEM) and a computational method to predict the unique form of bivariate probability distributions. The new algorithm provides reasonable estimations for target distributions which have maximum entropy. The MEM is a powerful implement for reconstructing distribution from many types of data. In this study, we introduce this technique to estimate the important bivariate distributions which are very effective in industrial and engineering fields especially in Cybernetics and internet systems. To examine the effectiveness of our algorithm, some different simulation studies were conducted. This method will provide you the unique solution to find a probability distribution based on given information. Possessing the simple and accurate mathematical formulation and using presence-only data, MEM has become a well-suited method for different kinds of distribution modeling.|
|A Note on Bound for Jensen-Shannon Divergence by Jeffreys||Takuya Yamano||N/A||26 Apr 2018||Show|
|The Jensen-Shannon divergence JS(p;q) is a similarity measure between two probability distributions p and q. It is presently used in varied disciplines. In this presentation, we provide a lower bound on the Jensen-Shannon divergence by the Jeffrery's J-divergence when p_i≥q_i is satisfied. In the original Lin's paper, the upper bound in terms of the J-divergence was the quarter of it. Recently, the shaper one was reported by Crooks. We discuss upper bounds by transcendental functions of Jeffreys by comparing those values for a binary distribution.|
|Towards the Development of a Universal Expression for the Configurational Entropy of Mixing||Jorge Garcés||N/A||26 Apr 2018||Show|
|Several decades ago, the development of analytical expressions for the configurational entropy of mixing was an active field of research. Empirical or theoretical expressions and methods were deduced in each field of the condensed matter. Several examples can be found in the literature, as: i) the expressions of Flory and Huggins for linear polymer solutions, ii) Cluster Variation Method (CVM) and Cluster Site Approximation (CSA) for studying order-disorder and phase equilibrium in alloys, and iii) the expression of Gibbs and Di Marzio for glasses, just to cite the most well known expressions in each field. Each model has its own area of research and applications. For example, CVM can not be applied to polymer solutions and Flory's expression is not suitable to study order-disorder in alloys. However, the traditional methodology, based on the calculation of the number of configurations, found severe restrictions in the development of accurate and general expressions in complex systems, like interstitial solid solutions or liquids and amorphous materials. The development of a common model for all previously cited methods just counting the number of configurations is an impractical idea. However, a recent formalism to compute the configurational entropy, based on the identification of energetically independent complexes within the mixture and the calculation of their respective probabilities, opens new possibilities to consider seriously such proposal. The importance of such idea is not only academic in nature, i.e., the development of a unified description for all states of the matter. It has its origin in the need of developing general expressions with the same level of accuracy for each state of the matter. Indeed, it would be desirable to describe liquids, glasses and solid states with the same model and level of accuracy to get a precise description of their physical properties and phase diagrams. This work shows that it is possible to develop such a model but a major theoretical and computational effort will be required. The main requirement to achieve this goal is to find a complex (clustering of atoms) suitable to describe, simultaneously, the structural features of liquids, glasses and solids. The first step towards such formulation are discussed in this work based on several inspiring previous works related to hard sphere systems, metallic glasses, CVM method and a recently deduced analytical expression for interstitial solutions. The methodology presented in this work is based on the identification, through a careful analysis of the main physical features of the system, of the energy independent complexes in the mixture and the calculation of their corresponding probabilities. The examples presented in this work show that accurate and general expressions for the configurational entropy of mixing can be developed, even in systems with no translational symmetry.|
|Energy-Driven Competitive Mechanism of Entropy Change in a Multi-Molecular System||Val Bykovsky||N/A||26 Apr 2018||Show|
|The origin of life and its evolving dynamics is tightly related to molecular dynamics of initially 'small' molecules in the presence of energy source. Observationally, life is a non-stop growth of living matter with steady increase of its complexity. Sometimes this dynamics is related to the entropy change. The point of this note is to discuss the limits of the entropy-based analysis of life dynamics, including the limits of statistical approach to molecular dynamics in an energy-rich multi-component system. The statistical context introduces many 'particles' and their degrees of freedom; in an equilibrium, energy gets distributed equally over the degrees of freedom(DoF) and the entropy is maximal. Meanwhile, the real 'particles' have an internal structure with discrete energy levels and related states. So, the excitation of molecules and their reactivities which drive the attachments/growth need to be taken into account to see how the growth increases the number of DoF, an option used to be beyond the statistical context. So, we use a more precise quantum approach. Our analysis indicates to the preferential selection of the larger (more complex) particles by sampling the environment to find and attach a matched partner. The larger particles better reuse (and not to lose) the captured energy. The smaller ones lose energy and get used as building components. The net result is an energy-driven non-stop competitive growth of increasingly complex particles by selective molecular sampling - until the energy source and the building components are available. This is a 'side effect' of the primary process of competitive redistribution of incoming energy into increasingly larger number of DoF. The energy loss due to dissipation gets minimal and the energy reuse gets maximal. The growth increases the number of DoF making it easier for energy to spread. Statistically, this may be viewed as the overall increase of entropy. However, due to permanency of energy gradients and unlimited availability of 'materials', the total equipartition may take a 'long' time - 4.5 Byr and still going... Meanwhile, for a separate species and in an 'in-between' time, the energy gradient is still in the process of spreading and steadily away from equilibrium, so the entropy gets steadily decreased.|
List of Keynotes & Videos
A. Physics and Engineering
The main areas of interest of this section are: Thermodynamics, Statistical Mechanics, the Second Law of Thermodynamics, Reversibility, Quantum Mechanics, Black Hole Physics, Maximum Entropy Methods, Maximum Entropy Production, Evolution of the Universe and relevant research topics which are not limited to this list.This section is chaired by: Prof. Dr. Ignazio Licata, ISEM Institute for Scientific Methodology, Palermo, Italy and School of Advanced International Studies on Applied Theoretical and Non Linear Methodologies of Physics, Bari, Italy
B. Information Theory
The main areas of interest of this section are: Shannon Entropy, Kullback-Leibler Divergence, Channel Capacity, Renyi and other Entropies, Applications and relevant research topics which are not limited to this list.This section will be chaired by: Dr. Nabin Malakar, JPL/Caltech, USA
C. Complex Systems
The main areas of interest of this section are: Self-Organization, Chaos and Nonlinear Dynamics, Simplicity and Complexity, Networks, Symmetry Breaking, Similarity and relevant research topics which are not limited to this list.This section will be chaired by: Dr. Giorgio Kaniadakis, Department of Applied Science and Technology, Politecnico di Torino, Italy
D. Chemistry and Biology
The main areas of interest of this section are: Chemical Networks, Energy, Enthalpy, Maximum Entropy Methods, Biological Networks, Evolution, DNA and RNA, Diversity and relevant research topics which are not limited to this list.This section will be chaired by: Prof. Alexander Gorban, Department of Mathematics, University of Leicester, UK
E. Machine Learning and Systems Theory
The main areas of interest of this section are: Artificial Intelligence, Neural Networks, Cybernetics, Robotics, Man–Machine Interfaces, Causality and relevant research topics which are not limited to this list.This section will be chaired by: Dr. Deniz Gencaga, Carnegie Mellon University, USA
In this section posters can be presented stand-alone, i.e. without a proceedings papers that goes with it. Posters will be available online on this website during and after the e-conference. However, posters will not be added to the proceedings of the conference.