16 papers · ranked by Valyu relevance
Peizhi Zhao
Globally, the energy supply in the market is tight and the oil price fluctuates sharply. With the increasing degree of environmental pollution, both developed and developing countries pay special attention to the development of new energy, and energy conservation and emission reduction have been put on the agenda. As…
Zeng‐Bing Chen
A new paradigm of quantum computing, namely, soft quantum computing, is proposed for nonclassical computation using real world quantum systems with naturally occurring environmentinduced decoherence and dissipation. As a specific example of soft quantum computing, we suggest a quantum neural network, where the neurons…
Wei Du, Danny Ho, Luiz Fernando Capretz
Software effort estimation is a critical part of software engineering. Although many techniques and algorithmic models have been developed and implemented by practitioners, accurate software effort prediction is still a challenging endeavor. In order to address this issue, a novel soft computing framework was…
Yi Xu, Jiaqi Zhu, Han Chen, Haochen Yong + 1 more
Integrated control circuits with multiple computation functions are essential for soft robots to achieve diverse complex real tasks. However, designing compliant yet simple circuits to embed multiple computation functions in soft electronic systems above the centimeter scale is still a tough challenge. Herein…
Xianglin Zhu, Khalil Ur Rehman, Bo Wang, Muhammad Shahzad
For effective monitoring and control of the fermentation process, an accurate real-time measurement of important variables is necessary. These variables are very hard to measure in real-time due to constraints such as the time-varying, nonlinearity, strong coupling, and complex mechanism of the fermentation process.…
Luca Zammataro
This work is based on the Equivalence between Molecular Dynamics and Neural Network. It provides learning proofs in a Lennard-Jones (LJ) fluid, presented as a network of particles having non-bonded interactions. I describe the fluid’s learning as the property of an order that emerges as an adaptation in establishing…
Raquel Lopez-Rios de Castro, Alejandro Santana-Bonilla, Robert M. Ziolek, Christian D. Lorenz
Molecular dynamics simulations have become an essential tool in the study of soft matter and biological macromolecules. The large amount of high-dimensional data produced by such simulations does not immediately elucidate the atomistic mechanisms that underlie complex materials and molecular processes. Analysis of…
Edi Sutoyo, Mungad Mungad, Suraya Hamid, Tutut Herawan + 1 more
Conflict analysis has been used as an important tool in economic, business, governmental and political dispute, games, management negotiations, military operations and etc. There are many mathematical formal models have been proposed to handle conflict situations and one of the most popular is rough set theory. With…
Arzu Erdem, Çiğdem Gündüz Aras, Ayşe Sönmez, Hüseyi̇n Çakallı
In this paper, we introduce a concept of a soft matrix on a soft multiset, and investigate how to use soft matrices to solve decision making problems. An algorithm for a multiple choose selection problem is also provided. Finally, we demonstrate an illustrative example to show the decision making steps.
Ningxin Xie, Guoqiu Wen, Zhaowen Li
A method based on grey relational analysis and D-S theory of evidence is proposed for fuzzy soft sets in decision making. Firstly, grey relational analysis is used to calculate grey mean relational degrees and determine uncertain degrees of parameters. Then based on uncertain degrees, suitable mass functions of…
Syeda fariha Bukhari, Maaz Amjad
Mathematics has played a substantial role to revolutionize the medical science. Intelligent systems based on mathematical theories have proved to be efficient in diagnosing various diseases. In this study we used a soft expert system-based on mathematical theories; soft set theory and fuzzy set theory to diagnose…
Arindam Chaudhuri, Kajal De, Dipak Chatterjee
The Fuzzy Modeling has been applied in a wide variety of fields such as Engineering and Management Sciences and Social Sciences to solve a number Decision Making Problems which involve impreciseness, uncertainty and vagueness in data. In particular, applications of this Modeling technique in Decision Making Problems…
Paulette Acheson, Ci̇han H. Dağli, Nil Kilicay‐Ergin
— Previous papers have described a computational approach to System of Systems (SoS) development using an Agent-Based Model (ABM). This paper describes the Fuzzy Decision Analysis used in the negotiation between the SoS agent and a System agent in the ABM of an Acknowledged SoS development. An Acknowledged SoS has by…
Gianluca Lombardi, Beatriz Seoane, Alessandra Carbone
Intrinsic disorder regions (IDR) and soft disorder regions (SDR) provide crucial information on a protein structure to underpin its functioning, interaction with other molecules and assembly path. Circular dichroism experiments are used to identify intrinsic disorder residues, while SDRs are characterized using…
Yuusuke Nonomura
No biomarkers and systems, including leukocyte count and flow cytometry, can be used to measure tissue injury for diagnosing inflammation. A fixed space–time continuum (SτC) biomarker can address this issue. A leukocyte continuum (LC) is a biomarker forming a SτC capable of measuring injury by operators and equations…
Alexander J. Bryer, Juan R. Perilla
Dimensionality reduction via coarse grain modeling has positioned itself as an indispensable tool for decades, particularly for biomolecular simulations where atomic systems encompass hundreds of millions of atoms. While distinct flavors of coarse grain modeling exist, those occupying the coarse end of the spectrum are…