Special Sessions

Proposal for holding special sessions is invited from prospective authors, industrial bodies and academicians. They are expected to bring at least six (6) registered presenters addressed to conference secretary, in order to offer them free fee

Session 1: A Demonstration of Novel Nature and Bio-Inspired Algorithms (NaBIA) for Engineering Applications

Mithun M. Bhaskar, mithun.bm@ieee.org  

Dept of Electrical Engineering, National Institute of Technology, Warangal, India

Nature has always been fascinating the researchers by the perfection and robustness it achieves on its designs. NaBIA for layman is the mimicking of ideas from the natural designs, found in foraging, swarming, behavior, connection etc and imitating it in physical designs and process. Nature and Bio-Inspired algorithms is a contemporary development in the Computational Intelligence arena and has proved to be a superior option to much of the toughest problems where conventional approaches fail. The session will give an overview of many new algorithms and bio-mimicry models together with practical validation of several NaBIA implementations to diverse engineering problems. This will include demonstration in five categories, Nature Inspired Algorithms, Bio-Inspired, Bio-mimicry, Evolutionary Algorithms, Memetic Algorithms with live examples for each. The session will also discuss the overview of methodologies involved; from getting inspired to development and modelling of Nature Inspired Algorithms. Diverse topics including various issues encountered connected to deployment to on-hand session (Participants are requested to bring Laptops with MATLAB Loaded). Also this session will teach you the lessons on how to observe, inspire, conceive, design and deploy algorithms from our day to day acquaintances and observations and will conclude with a Brain Storming session, where the participants will be able to discuss their novel ideas, seek collaboration in open platform and mentor the problems to remove the hurdles.

Session 2: Smart Control and Optimization for Smart Grids

Davor Škrlec davor.skrlec@fer.hr, Igor Papič igor.papic@fe.uni-lj.si

 University of Zagreb, Croatia, University of Ljubljana, Slovenia

New concepts of the distribution systems have been underlined in the many strategic documents related to the electricity networks of the future – Smart Grid(s). Regardless of small differences in the approach, all of them introduce new concepts like distributed energy resources, virtual power plants, microgrids, demand side management, smart metering, high level of automation, ICT, electrical vehicles. Large amount of data will be collected from these new or improved assets and need to be stored and processed. As a result the new control algorithms and new control strategies must be developed and implemented for the optimal operation of the smartgrid. Transition from present distribution systems to the future ones will last for several years and even though the evolution seems simple, the practice is complex because it involves multiple variables and trade-offs with stochastic nature of large power systems problem. In the case of distribution system, optimization is the process of making system as good as possible with the right balance between reliability, availability, efficiency and cost. This special session will discuss the new network infrastructure and control strategies which will have inherent optimization methods for previously mentioned smartgrid concepts and new optimization techniques for planning and operation of electrical and multienergy networks with embedded distributed multienergy resources. Participants will be able to discuss and exchange their ideas and research results as well as establish collaboration for the future projects and joint research.

Session 3: Computational Intelligence and its Applications

Tarek Helmy helmy@kfupm.edu.sa, Anifowose Fatai anifowo@kfupm.edu.sa

Information and Computer Science Department, KFUPM, KSA, and Center of Petroleum and Minerals, KFUPM, KSA

This session is focused on Computational Intelligence and its application to real-world problems in petroleum engineering, bioinformatics, chemical informatics, reservoir characterization, gas components predictions, bioengineering and related fields. Computational Intelligence (CI) techniques including but not limited to artificial neural networks, support vector machines, functional networks, and especially hybrid of various techniques, biological and medical Ontology, medical image analysis and pattern recognition

Session 4: Augmented Lagrange Hopfield Network for Economic Dispatch Problems

Vo Ngoc Dieu vndieu@gmail.com, Weerakorn Ongsakul ongsakul@ait.asia

School of Environment, Resources and Development, Asian Institute of Technology, Thailand

Economic dispatch (ED) is a real time problem for properly allocating the real power output among the online generating units so as the total production cost of thermal units is minimized while satisfying unit and system constraints. The ED problem has been extensively studied due its significance in power system operation and planning and many researches have been done for this problem as reported in the literature. This session will focus on the implementation of augmented Lagrange Hopfield network (ALHN) for solving different ED problems including classical ED, ED with fuel constraint, ED with piecewise quadratic fuel cost, ED with prohibited operating zones, combined heat and power ED, and ED for hydrothermal systems. ALHN is a new improvement of continuous Hopfield neural network by using Lagrange function as its energy function. The newly improved neural network outperforms the conventional Hopfield neural network for simpler use, faster convergence, better optimal solution, and more general implementation. The implementation of ALHN to the mentioned ED problems is very simple and efficient.

Session 5: Optimization of the Heart Pump- Function

Felix A. Blyakhman felix.bljakhman@usu.ru

Ural State Medical Academy, Ekaterinburg, Russia

The normal left ventricle (LV) is a structurally inhomogeneous pump according to features such as its geometry, the intricacy of the muscular fiber architecture, etc. With respect to pump-function efficiency, the normal LV is not an optimal pump, but it has high functional reserve for adaptation to extreme situations that might occur over time. At the same time, nature has designed many special “devices” to eliminate fully or partly the negative influence of LV non-optimal construction on the pump efficiency. For example, there are: the trabecular apparatus to improve hemodynamic; fiber orientation to reduce functional differences between epicardium and endocardium; a massive fibrotic mitral ring to facilitate ventricular filling during the LV systolic period, etc. Probably, the reason for LV conduction system is the same. The special session is addressed to discuss any possible mechanisms of the heart pump-function optimization in the normal and pathological state. This issue is very important one not only for biological pump but for technical approach as well.