scholarly journals Towards an information geometric characterization/classification of complex systems. I. Use of generalized entropies

2018 ◽  
Vol 496 ◽  
pp. 384-398 ◽  
Author(s):  
Demetris P.K. Ghikas ◽  
Fotios D. Oikonomou
Keyword(s):  
Complex Systems ◽  
Geometric Characterization ◽  
Generalized Entropies

scholarly journals From Complexity to Information Geometry and Beyond

2020 ◽  
Vol 23 (2) ◽  
pp. 212-220
Author(s):  
Demetris P. K. Ghikas
Keyword(s):  
Complex Systems ◽  
Algebraic Approach ◽  
Information Geometry ◽  
Short Discussion ◽  
Complex Information ◽  
Microscopic Interactions ◽  
Universal Definition ◽  
Definition Of ◽  
Generalized Entropies

Complex Systems are ubiquitous in nature and man-made systems. In natural sciences, in social and economic models and in mathematical constructions are studied and analyzed, are applied in practical problems but without a clear and universal definition of "complexity", let alone classification and quantification. Following the "three-level scheme" of physical theories, observations/experiments, phenomenology, microscopic interactions, we need, starting from the experience of observation to establish appropriate phenomenological parameters and concepts, and in conjunction with a possible knowledge of the nature of microscopic structures to deepen our understanding of a particular system which we "understand as complex". Information Geometry seems to be a useful phenomenological framework, which using generalized entropies, provides some classification and quantification tools. But we need the next level, microscopic structure and interactions of the parts of complex systems. A useful direction is the conceptual niche of hyper-networks and super graphs, where a strong involvement of algebra offers concrete techniques. We believe that appropriate algebraic structures may systematize our approach to microscopic structures of complex systems, and help associate the information geometric phenomenology with concrete properties. In this paper after a short discussion of the problem of "definition of complexity", we introduce our information geometric quantities derived from generalized entropies. Then we present our results of application of information geometry for classification of complex systems. Finally we present our ideas for an abstract algebraic approach which may offer a framework for the microscopic study of complex systems.

Classification of IC Process Deformation Characteristics Using Memory Fail Bitmaps

2004 ◽  
Author(s):  
T. Zanon ◽  
W. Maly
Keyword(s):  
Geometric Characterization ◽  
Deformation Characteristics ◽  
Analysis Study ◽  
Preliminary Results ◽  
Failure Patterns ◽  
Yield Learning ◽  
Sram Memory ◽  
Viable Approach ◽  
Ic Technology

Abstract Building a portfolio of deformations is the key step for building better defect models for the test and yield learning domain. A viable approach to achieve this goal is through geometric characterization and classification of failure patterns found on memory fail bitmaps. In this paper, we present preliminary results on how to build such a portfolio of deformations for an IC technology of interest based on a fail bitmap analysis study conducted on large, modern SRAM memory products.

Reliability Optimization of Complex Systems Using Cuckoo Search Algorithm

2017 ◽  
pp. 94-110 ◽  
Author(s):  
Anuj Kumar ◽  
Sangeeta Pant ◽  
S. B. Singh
Keyword(s):  
Complex Systems ◽  
Life Support ◽  
Optimization Problems ◽  
Search Algorithm ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Reliability Optimization ◽  
Space Capsule ◽  
Metaheuristic Techniques

In this chapter, authors briefly discussed about the classification of reliability optimization problems and their nature. Background of reliability and optimization has also been provided separately so that one can clearly understand the basic terminology used in the field of reliability optimization. Classification of various optimization techniques have also been discussed by the authors. Few metaheuristic techniques related to reliability optimization problems like Genetic Algorithm (GA), Ant Colony Optimization (ACO) and Particle Swarm Optimization (PSO) have been discussed in brief. Thereafter, authors have discussed about Cuckoo Search Algorithm (CSA) which is the main focus of this chapter. Finally, Cuckoo Search Algorithm has been applied for solving reliability optimization problems of two complex systems namely complex bridge system and life support system in space capsule. Simulation results and conclusion have been presented in the last followed by the references.

Industrial Verification of Piezo Motors on a CubeSat Based Verification Platform

2006 ◽  
Author(s):  
Manuel Czech ◽  
Ulrich Walter
Keyword(s):  
Complex Systems ◽  
Low Complexity ◽  
Micro Electro Mechanical System ◽  
Mission Design ◽  
Technology Readiness ◽  
Key Technology ◽  
Mems Technology ◽  
Segmented Mirror ◽  
Mirror Telescope

Due to the classification of technologies in NASA’s and ESA’s technology readiness levels, newly developed components have to be space proven before they can be utilized in space missions. This space prove can be adduced by sending these technologies to orbit either as experiment on a piggyback flight or a dedicated mission. Over the last years the size of technologies and satellites has shifted to much smaller sizes. In this paper, the possibility of industrial verification of MEMS (Micro Electro Mechanical System) applications using dedicated pico-satellite missions is examined. Based on the CubeSat concept, a technology verification platform can be realized for verification of not only pico-satellite components, but also of components of complex systems and missions. Therefore a platform fulfilling the requirements for such industrial verification of components named MOVE (Munich Orbital Verification Experiment) is developed at the Institute of Astronautics (LRT). This platform enables professional verification of MEMS technology and techniques at overall mission costs of less than 100k€. As a first application of this approach, a mission called π-MOVE (π for piezo) will verify piezo motors on the developed platform. These piezo motors are representative for components of complex systems, as this motor concept is considered to be key technology for future segmented mirror telescope missions. In the mission design process for this platform, strong emphasis is put on the robustness of the design, low complexity and realizability within the institute’s environment. The advantages through access to both university and industry resources will be taken. The feasibility of professional technology verification is highly dependent on the test plans, which are developed in cooperation with the experienced industrial partners.

scholarly journals Entropies for complex systems: generalized-generalized entropies

2007 ◽  
Author(s):  
Stefan Thurner ◽  
Rudolf Hanel ◽  
Sumiyoshi Abe ◽  
Hans Herrmann ◽  
Piero Quarati ◽  
...  
Keyword(s):  
Complex Systems ◽  
Generalized Entropies

scholarly journals Using Generalized Entropies and OC-SVM with Mahalanobis Kernel for Detection and Classification of Anomalies in Network Traffic

Entropy ◽  
2015 ◽  
Vol 17 (12) ◽  
pp. 6239-6257 ◽  
Author(s):  
Jayro Santiago-Paz ◽  
Deni Torres-Roman ◽  
Angel Figueroa-Ypiña ◽  
Jesus Argaez-Xool
Keyword(s):  
Network Traffic ◽  
Generalized Entropies

scholarly journals Classification of Complex Systems Based on Transients

2020 ◽  
Author(s):  
Barbora Hudcová ◽  
Tomáš Mikolov
Keyword(s):  
Complex Systems

ANALYSIS OF THEORETICAL ASPECTS OF MANAGING COMPLEX SYSTEMS

2020 ◽  
Vol 2 (6) ◽  
pp. 53-62
Author(s):  
L. S. ZVYAGIN ◽  
Keyword(s):  
Control System ◽  
Complex Systems ◽  
Goal Setting ◽  
Time Data ◽  
Target State ◽  
Technical Management ◽  
Current State ◽  
Management Functions ◽  
Management Cycle

Within the framework of this article, we have studied the management of complex systems. The issues of classification of systems and management of complex systems depending on their specifics are considered. The questions of features of management of complex systems, principles of decomposition, mechanisms of management of complex systems depending on their specificity are considered. A review of the set of management functions that are performed in the system during changes in the environment, called the management cycle. When performing cyclic operations sequentially, the state of complex systems approaches the target state. At the same time, data about the current state of the system is received from the control objects to the control system. The control system monitors its validity, conducts accounting and analysis in order to monitor deviations from the target state and analyze the need to change the type of control action. Based on the results of the analysis, one of the main management tasks is selected, operational and technical management (regulation) is performed, which involves coordinating the actions of the management object, which is associated with the development of solutions that involve keeping the system in the target state, or goal-setting tasks are solved (goal adjustments are made), then the system is transferred to a new state through forecasting and planning. Thus, a correctly implemented control system allows you to effectively coordinate the work of complex systems.

Sign in / Sign up

Export Citation Format

Share Document