Method Studying in Dealing with Lack of Information about the Large Sampling Period Data

2014 ◽  
Vol 955-959 ◽  
pp. 1462-1465
Author(s):  
Li Du ◽  
Tao Chen
Keyword(s):  
Complex System ◽  
Quantitative Analysis ◽  
High Precision ◽  
Sampling Period ◽  
Sampling Theorem ◽  
General Law ◽  
Lack Of Information ◽  
Period Data ◽  
System Information ◽  
Important Significance

The quantitative analysis to the real and the complex system in high precision has very important significance. The premise of quantitative analysis is to quantificat the system. But Due to the limitation of subjective and objective conditions, It is difficult for the quantification of the symtem to meet the requirements of the sampling theorem and then the quantification of large sampling period data inevitably lost a lot of system information, so that it become impossible to precision analyse the system. This paper puts forward the view that: there is the meaning of the general law of causation in the space-time whirl structure and on the basis of this theory the quantitative analysis can have higher accuracy and reliability.

scholarly journals High-Precision RTT-Based Indoor Positioning System Using RCDN and RPN

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3701
Author(s):  
Ju-Hyeon Seong ◽  
Soo-Hwan Lee ◽  
Won-Yeol Kim ◽  
Dong-Hoan Seo
Keyword(s):  
High Precision ◽  
Distance Estimation ◽  
Sampling Period ◽  
Multipath Fading ◽  
Indoor Positioning ◽  
Positioning System ◽  
Positioning Systems ◽  
Positioning Errors ◽  
Location Determination ◽  
Indoor Positioning System

Wi-Fi round-trip timing (RTT) was applied to indoor positioning systems based on distance estimation. RTT has a higher reception instability than the received signal strength indicator (RSSI)-based fingerprint in non-line-of-sight (NLOS) environments with many obstacles, resulting in large positioning errors due to multipath fading. To solve these problems, in this paper, we propose high-precision RTT-based indoor positioning system using an RTT compensation distance network (RCDN) and a region proposal network (RPN). The proposed method consists of a CNN-based RCDN for improving the prediction accuracy and learning rate of the received distances and a recurrent neural network-based RPN for real-time positioning, implemented in an end-to-end manner. The proposed RCDN collects and corrects a stable and reliable distance prediction value from each RTT transmitter by applying a scanning step to increase the reception rate of the TOF-based RTT with unstable reception. In addition, the user location is derived using the fingerprint-based location determination method through the RPN in which division processing is applied to the distances of the RTT corrected in the RCDN using the characteristics of the fast-sampling period.

scholarly journals Complexity Analysis of Escher’s Art

Entropy ◽  
2019 ◽  
Vol 21 (6) ◽  
pp. 553 ◽  
Author(s):  
António M. Lopes ◽  
J. A. Tenreiro Machado
Keyword(s):  
Complex System ◽  
Quantitative Analysis ◽  
Complexity Analysis ◽  
Quantitative Characterization ◽  
Cultural Economic ◽  
Scaling Technique ◽  
Artistic Production ◽  
Formidable Challenge ◽  
Visualization Techniques

Art is the output of a complex system based on the human spirit and driven by several inputs that embed social, cultural, economic and technological aspects of a given epoch. A solid quantitative analysis of art poses considerable difficulties and reaching assertive conclusions is a formidable challenge. In this paper, we adopt complexity indices, dimensionality-reduction and visualization techniques for studying the evolution of Escher’s art. Grayscale versions of 457 artworks are analyzed by means of complexity indices and represented using the multidimensional scaling technique. The results are correlated with the distinct periods of Escher’s artistic production. The time evolution of the complexity and the emergent patterns demonstrate the effectiveness of the approach for a quantitative characterization of art.

scholarly journals Dependence on the Initial Data for the Continuous Thermostatted Framework

Mathematics ◽  
2019 ◽  
Vol 7 (7) ◽  
pp. 602
Author(s):  
Bruno Carbonaro ◽  
Marco Menale
Keyword(s):  
Complex System ◽  
Initial Data ◽  
External Force ◽  
Continuous Dependence ◽  
Initial Conditions ◽  
Complete Information ◽  
Complete Picture ◽  
Order Moment ◽  
Lack Of Information ◽  
Activity Variable

The paper deals with the problem of continuous dependence on initial data of solutions to the equation describing the evolution of a complex system in the presence of an external force acting on the system and of a thermostat, simply identified with the condition that the second order moment of the activity variable (see Section 1) is a constant. We are able to prove that these solutions are stable with respect to the initial conditions in the Hadamard’s sense. In this connection, two remarks spontaneously arise and must be carefully considered: first, one could complain the lack of information about the “distance” between solutions at any time t ∈ [ 0 , + ∞ ) ; next, one cannot expect any more complete information without taking into account the possible distribution of the transition probabiliy densities and the interaction rates (see Section 1 again). This work must be viewed as a first step of a research which will require many more steps to give a sufficiently complete picture of the relations between solutions (see Section 5).

Performability Modeling of Distributed Systems and Its Formal Methods Representation

2020 ◽  
pp. 203-233
Author(s):  
Razib Hayat Khan
Keyword(s):  
Complex System ◽  
Quantitative Analysis ◽  
Functional Properties ◽  
Distributed System ◽  
System Performance ◽  
Early Stage ◽  
Behavioral Changes ◽  
Design Development ◽  
Modeling Framework ◽  
System Components

A distributed system is a complex system. Developing complex systems is a demanding task when attempting to achieve functional and non-functional properties such as synchronization, communication, fault tolerance. These properties impose immense complexities on the design, development, and implementation of the system that incur massive effort and cost. Therefore, it is vital to ensure that the system must satisfy the functional and non-functional properties. Once a distributed system is developed, it is very difficult and demanding to conduct any modification in its architecture. As a result, the quantitative analysis of a complex distributed system at the early stage of the development process is always an essential and intricate endeavor. To meet the above challenge, this chapter introduces an extensive framework for performability evaluation of a distributed system. The goal of the performability modeling framework is to consider the behavioral change of the system components due to failures. This reveals how such behavioral changes affect the system performance.

Study on the Maintenance Capacity of “Man-Machine System” Based on Fuzzy Comprehensive Evaluation

2012 ◽  
Vol 203 ◽  
pp. 479-483
Author(s):  
Yong Jun Sun ◽  
Yi Qu
Keyword(s):  
Complex System ◽  
Quantitative Analysis ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Fuzzy Mathematics ◽  
Machine System ◽  
The Core ◽  
Evaluation Algorithm ◽  
The Stability ◽  
Index Weight

This paper, in accordance with the maintenance capacity of “Man-Machine System”, holds the core of the “Man-Machine System” and employs the analysis methods of the complex system, brings forward the model of the three-layer comprehensive evaluation based on fuzzy mathematics, then brings out the methods of the index weight and studies the maintenance capacity’s evaluation algorithm on the foundation of the quantitative analysis. In the last it gives the application of the model and algorithm by using the instances and studies the changing maintenance capacity including the stability and the undulation, which provides one thought for scientifically evaluating the maintenance capacity of “Man-Machine System”.

WE-AB-202-09: Feasibility and Quantitative Analysis of 4DCT-Based High Precision Lung Elastography

2016 ◽  
Vol 43 (6Part38) ◽  
pp. 3796-3796
Author(s):  
K Hasse ◽  
J Neylon ◽  
D Low ◽  
A Santhanam
Keyword(s):  
Quantitative Analysis ◽  
High Precision

Performability Modeling of Distributed Systems and Its Formal Methods Representation

2021 ◽  
pp. 704-727
Author(s):  
Razib Hayat Khan
Keyword(s):  
Complex System ◽  
Quantitative Analysis ◽  
Functional Properties ◽  
Distributed System ◽  
System Performance ◽  
Early Stage ◽  
Behavioral Changes ◽  
Design Development ◽  
Modeling Framework ◽  
System Components

A distributed system is a complex system. Developing complex systems is a demanding task when attempting to achieve functional and non-functional properties such as synchronization, communication, fault tolerance. These properties impose immense complexities on the design, development, and implementation of the system that incur massive effort and cost. Therefore, it is vital to ensure that the system must satisfy the functional and non-functional properties. Once a distributed system is developed, it is very difficult and demanding to conduct any modification in its architecture. As a result, the quantitative analysis of a complex distributed system at the early stage of the development process is always an essential and intricate endeavor. To meet the above challenge, this chapter introduces an extensive framework for performability evaluation of a distributed system. The goal of the performability modeling framework is to consider the behavioral change of the system components due to failures. This reveals how such behavioral changes affect the system performance.

Environmental Biodynamics

2021 ◽  
Author(s):  
Manish Arora ◽  
Paul Curtin ◽  
Austen Curtin ◽  
Christine Austin ◽  
Alessandro Giuliani ◽  
...  
Keyword(s):  
Complex System ◽  
Human Physiology ◽  
Complex Systems ◽  
Boundary Conditions ◽  
Information Exchange ◽  
Temporal Dynamics ◽  
Health Sciences ◽  
Environmental Health Sciences ◽  
System Information

The book provides a new conceptual framework to explain the interaction of complex systems, specifically humans and their environment. It proposes that human physiology and the environment do not “connect” with each other in a direct, unidirectional manner, like a beaker pouring water into a cup. Rather, the authors propose the Biodynamic Interface Conjecture with the central axiom that complex systems cannot interact directly or exist in isolation due to temporally embedded functional interdependencies within and between systems. The authors propose that human physiology and the environment contribute to the formation of an interface, and by doing so they give rise to an intermediary that guides the interaction by letting some influences pass between the systems while restricting others. This proposition counters many structural approaches that assume that complex systems, such as the environment and humans, can transfer information directly between them while remaining discrete entities. Although developed for environmental health sciences, the conjecture has broader implications for the study of complex system interactions across various levels of organization, and the central role of time and temporal dynamics in system-to-system information exchange. This conjecture also argues against causal paradigms that (incorrectly) assume that systems are distinct entities interacting directly and ignore boundary conditions, and organizational levels, and complexity inherent in biological and environmental systems.

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