Institution
K.N.Toosi University of Technology
Education•Tehran, Iran•
About: K.N.Toosi University of Technology is a education organization based out in Tehran, Iran. It is known for research contribution in the topics: Control theory & Nonlinear system. The organization has 6906 authors who have published 12871 publications receiving 158285 citations.
Papers published on a yearly basis
Papers
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TL;DR: This paper treats supplier selection as a group multiple criteria decision making (GMCDM) problem and obtain decision makers' opinions in the form of linguistic terms which are converted to trapezoidal fuzzy numbers and extended the VIKOR method with a mechanism to extract and deploy objective weights based on Shannon entropy concept.
Abstract: Recently, resolving the problem of evaluation and ranking the potential suppliers has become as a key strategic factor for business firms. With the development of intelligent and automated information systems in the information era, the need for more efficient decision making methods is growing. The VIKOR method was developed to solve multiple criteria decision making (MCDM) problems with conflicting and non-commensurable criteria assuming that compromising is acceptable to resolve conflicts. On the other side objective weights based on Shannon entropy concept could be used to regulate subjective weights assigned by decision makers or even taking into account the end-users' opinions. In this paper, we treat supplier selection as a group multiple criteria decision making (GMCDM) problem and obtain decision makers' opinions in the form of linguistic terms. Then, these linguistic terms are converted to trapezoidal fuzzy numbers. We extended the VIKOR method with a mechanism to extract and deploy objective weights based on Shannon entropy concept. The final result is obtained through next steps based on factors R, S and Q. A numerical example is proposed to illustrate an application of the proposed method.
612 citations
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TL;DR: In this paper, a general review on different membrane processes and membrane reactors was done and the main aim of this paper is to review the application of membrane processes in petrochemical industry, processes such as olefin/paraffin separation, light solvent separation, solvent dewaxing, phenol and aromatic recovery, dehydrogenation, oxidative coupling of methane and steam reforming of methane were discussed in detail.
577 citations
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Emory University1, University of Oxford2, Massachusetts Institute of Technology3, Polytechnic University of Valencia4, Georgia Institute of Technology5, University of Valencia6, University of Michigan7, Aalborg University8, Aristotle University of Thessaloniki9, K.N.Toosi University of Technology10, University of Upper Alsace11, University of Strasbourg12, Dalian University of Technology13, Shiraz University14, Isfahan University of Medical Sciences15
TL;DR: A public heart sound database, assembled for an international competition, the PhysioNet/Computing in Cardiology (CinC) Challenge 2016, which comprises nine different heart sound databases sourced from multiple research groups around the world is described.
Abstract: In the past few decades, analysis of heart sound signals (i.e. the phonocardiogram or PCG), especially for automated heart sound segmentation and classification, has been widely studied and has been reported to have the potential value to detect pathology accurately in clinical applications. However, comparative analyses of algorithms in the literature have been hindered by the lack of high-quality, rigorously validated, and standardized open databases of heart sound recordings. This paper describes a public heart sound database, assembled for an international competition, the PhysioNet/Computing in Cardiology (CinC) Challenge 2016. The archive comprises nine different heart sound databases sourced from multiple research groups around the world. It includes 2435 heart sound recordings in total collected from 1297 healthy subjects and patients with a variety of conditions, including heart valve disease and coronary artery disease. The recordings were collected from a variety of clinical or nonclinical (such as in-home visits) environments and equipment. The length of recording varied from several seconds to several minutes. This article reports detailed information about the subjects/patients including demographics (number, age, gender), recordings (number, location, state and time length), associated synchronously recorded signals, sampling frequency and sensor type used. We also provide a brief summary of the commonly used heart sound segmentation and classification methods, including open source code provided concurrently for the Challenge. A description of the PhysioNet/CinC Challenge 2016, including the main aims, the training and test sets, the hand corrected annotations for different heart sound states, the scoring mechanism, and associated open source code are provided. In addition, several potential benefits from the public heart sound database are discussed.
477 citations
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TL;DR: In this article, a nonlinear mixed-integer programming with inter-temporal constraints is proposed to solve the problem of virtual power plant (VPP) bidding in a joint market of energy and spinning reserve service.
Abstract: This paper addresses the bidding problem faced by a virtual power plant (VPP) in a joint market of energy and spinning reserve service. The proposed bidding strategy is a non-equilibrium model based on the deterministic price-based unit commitment (PBUC) which takes the supply-demand balancing constraint and security constraints of VPP itself into account. The presented model creates a single operating profile from a composite of the parameters characterizing each distributed energy resources (DER), which is a component of VPP, and incorporates network constraints into its description of the capabilities of the portfolio. The presented model is a nonlinear mixed-integer programming with inter-temporal constraints and solved by genetic algorithm (GA).
433 citations
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TL;DR: Numerical results reveal that the proposed harmony search (HS) algorithm can find better solutions when compared to conventional methods and is an efficient search algorithm for CHPED problem.
405 citations
Authors
Showing all 6939 results
Name | H-index | Papers | Citations |
---|---|---|---|
Tatsuo Itoh | 87 | 927 | 36847 |
Alfredo Huete | 77 | 372 | 39128 |
Mikael Käll | 68 | 256 | 20606 |
Mohammad Hossein Ahmadi | 60 | 477 | 11659 |
Mojtaba Ghadiri | 54 | 294 | 8958 |
Mostafa Zandieh | 50 | 214 | 6877 |
Ali Eftekhari | 47 | 180 | 7778 |
Pedram Ghamisi | 45 | 196 | 8757 |
Fariborz Jolai | 43 | 242 | 5700 |
Ali Ehsani | 42 | 154 | 4154 |
Mohammad Hasanzadeh | 42 | 283 | 5837 |
Nasrin Shadjou | 42 | 182 | 4899 |
Ali Ahmadi | 41 | 389 | 6666 |
Hossein Heli | 40 | 162 | 4484 |
Ali Kargari | 38 | 147 | 4498 |