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MULTICRITERIA SORTING METHODOLOGY: APPLICATION TO FINANCIAL DECISION PROBLEMS

Parallel Algorithms and Applications 2000年第1-2期15卷 113-129页

作者： Michael Doumpos[a] Constantin Zopounidis[a] Panos M. Pardalos[b] [a] Department of Production Engineering and Management Technical University of Crete Financial Engineering Laboratory University Campus Chania Greece [b] Department of Industrial and Systems Engineering University of Florida Gainesville FL USA

The primary objective in the sorting approach is to assign a set of alternatives into predefined classes. This type of problem is often encountered in many real world decision problems. During the last two decades several new approaches have been proposed to overcome the shortcomings of traditional statistical and econometric techniques. This paper focuses on the multicriteria decision aid (MCDA) approach; it briefly reviews the main MCDA sorting techniques, and presents the multigroup hierarchical discrimination method. This new MCDA sorting technique is applied to the portfolio selection problem. A comparison with discriminant analysis is also performed. Furthermore, the efficiency of the proposal approach can be easily improved for solving large-scale problems in a multiprocessing environment.

关键词： Sorting Multicriteria decision aid Preference disaggregation Financial decision making

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Experimental and numerical analysis of roller burnishing of Waspaloy

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Procedia Manufacturing 2019年 34卷 65-72页

作者： Sergio Rinaldi Giovanna Rotella Domenico Umbrello Department of Mechanical Energy and Management Engineering University of Calabria Rende CS 87036 Italy Department of Computer Engineering Modeling Electronics and Systems Engineering University of Calabria Rende CS 87036 Italy

Nickel based superalloys, such as Waspaloy , are extensively used for applications under heavy environmental conditions due to their superior thermo-mechanical properties. However, manufacturing processes of these materials are challenging since they involve issues related to their poor workability. Thus, huge research work for optimizing the processing parameters is still required. This problem becomes even more pronounced when finishing processes, such as roller burnishing, are considered. In fact, it is crucial to use parameters able to increase the productivity and to improve the quality of the manufactured parts, consequently a huge number of preliminary experimental tests have to be carried out. Hence, numerical simulation can be a valid support for obtaining information about the metallurgical phenomena that affect the materials while large strains occur. However, commercial software are not still able to appropriately predict such modifications. Thus, the main objective of the present work is to study a roller burnishing on Waspaloy in terms of processing parameters and surface integrity by experimental and numerical analysis, in terms of forces, temperatures, roughness, microstructural modification and microhardness. Thus, the customized simulation demonstrated to provide useful information able to drastically reduce the number of needed tests leading also to a deeper knowledge of the microscopic phenomena involved in the process.

关键词： Roller burnishing Waspaloy Physics based numerical modeling Surface Integrity

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A Genetic Algorithm to Optimize Cargo Stability in Container Transportation 11

A Genetic Algorithm to Optimize Cargo Stability in Container...

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11th IEEE Global Conference on Consumer Electronics, GCCE 2022

作者： Hsieh, Chi-Jung Wu, Kuang-Sung Wu, Tin-Yu Tey, Fu Jie Chen, Yi-Kai Ho, Jye Yi National Ilan University Department of Computer Science and Information Engineering Ilan County Taiwan National Ilan University Master Program of E-Learning for Multimedia and Network Communications Yilan Taiwan National Pingtung University of Science and Technology Department of Management Information Systems Pingtung County Taiwan National Taiwan University of Science and Technology Department of Electrical Engineering Taipei Taiwan

ISBN: (纸本)9781665492324

In the era of the global village, frequent cross-border trade in goods has made container transportation a significant part in delivery of cargo. However, rollover accidents of container trucks often occur because of tall truck height, improper cargo stowage or crooked roads. Therefore, how to find the optimal center of gravity (CG) of the packed cargo remains an issue that the transportation industry should not neglect. To optimize cargo stability and reduce the incidence of rollovers, this paper proposes a genetic algorithm that scores the cargo stacking process to find the best CG of the cargo based on the CG of the vehicle. According to the deviation angle and the point closest to the best CG, we can Figure out the optimal cargo stacking method. © 2022 IEEE.

关键词： Genetic algorithms

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Analysis of the passive fragments influence in broadband signals with manipulated information entropy on the data transmission reliability

Analysis of the passive fragments influence in broadband sig...

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2019 IEEE International Scientific-Practical Conference: Problems of Infocommunications Science and Technology, PIC S and T 2019

作者： Melnychuk, Stepan Manuliak, Iryna National Technical University of Oil and Gas Computer Systems and Networks Department of Ivano-Frankivsk Ivano-Frankivsk Ukraine Engineering of King Danylo University Department of Information Technology and Program Ivano-Frankivsk Ukraine

ISBN: (纸本)9781728141848

Current methods of digitally processing communication signals, which are distorted in the computer systems communication channels, are often based on the use of amplitude, phase and spectral characteristics. Correlation methods are also used to ensure immunity. A common disadvantage of these methods is the need for significant computational cost. One of the partial solutions to the described problem may be to use the signals probabilistic characteristics, in particular information entropy. This approach is based on the representation of digital message bits to the corresponding fragments of broadband signals with manipulated information entropy. In fact, signals are formed on the basis of random processes with normal distribution of possible states. The use of passive fragments in such signals can reduce the energy cost of data transmission. When passing through a communication channel, passive fragments are filled with their own channel noise. As a result, the channel's own noise extends the number of possible signal amplitude states and can be used to improve the resolution. According to the results of studies, the dependence of the probability of distortion of the information message binary symbol on the normalized signal/noise ratio is obtained. It is shown that the use of passive fragments improves noise immunity by 3-4 dB within the normalized signal/noise ratio at the input from-5 dB to 14 dB. However, at 14 dB or more, noise immunity worsens. Thus, the main scope of the proposed method can be problematic channels with low signal/noise ratio. © 2019 IEEE.

关键词： Correlation methods

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Relationship between pilot workload and turbulence intensity for helicopter operations in harsh environments

Relationship between pilot workload and turbulence intensity...

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65th Annual Forum Proceedings - AHS International

作者： Matayoshi, Naoki Forrest, James S Hodge, Steven J Padfield, Gareth D Owen, Ieuan Aviation Program Group Japan Aerospace Exploration Agency MitakaTokyo Japan Department of Engineering University of Liverpool Liverpool United Kingdom Flight Simulation Department BAE Systems Preston United Kingdom

This paper proposes a method for predicting the workload experienced by a pilot when flying a helicopter in highly turbulent wakes where the spatial scales of the eddies are comparable with the size of the aircraft. In this method, the temporal and spatial wind variations over the helicopter are quantified using wavelet decomposition. The extracted wind variation parameters are then correlated with pilot workload using a neural network trained by appropriate turbulence-workload datasets. The proposed method has been used to predict pilot workload for helicopter deck landings in ship airwakes that were produced using unsteady CFD. The prediction performance was seen to be comparable to that of a previous method based on the standard deviations of 4-axis pilot control activities. The proposed method has also been shown to be capable of predicting pilot workload for a different type of ship airwake to the one used to train the neural network. Further improvements in the method are planned to reflect the different dynamic characteristics exhibited by different helicopter types, and the effects of these on pilot *** © 2009 by the American Helicopter Society International, Inc. All rights reserved.

关键词： Helicopters

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FaceEngine: A Tracking-Based Framework for Real-Time Face Recognition in Video Surveillance System

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SN Computer Science 2024年第5期5卷 609页

作者： Imran, Ahsan Ahmed, Riad Hasan, Md Mehedi Ahmed, M. Helal Uddin Azad, A.K.M. Alyami, Salem A. Department of Robotics and Mechatronics Engineering University of Dhaka Dhaka 1000 Bangladesh Department of Computer Science and Engineering BRAC University Dhaka 1212 Bangladesh Department of Management Information Systems University of Dhaka Dhaka 1000 Bangladesh Department of Mathematics and Statistics College of Science Imam Mohammad Ibn Saud Islamic University (IMSIU) Riyadh 11432 Saudi Arabia

The escalating concern over worldwide security and criminal activities has led to the emergence and significance of closed-circuit television video surveillance systems as an essential tool for diverse security purposes. These systems are extensively implemented and serve a crucial function in the surveillance and upkeep of security. The predominant purpose of video surveillance systems is to gather data primarily for evidentiary purposes subsequent to the occurrence of a criminal incident. The demand for video surveillance systems capable of autonomously monitoring and promptly identifying criminals or intruders in real-time is steadily increasing. Nevertheless, the existing facial recognition methods pose difficulties in reliably identifying individuals who are in motion within a video frame. Moreover, conventional approaches necessitate a substantial quantity of photographs in order to achieve precise recognition following the acquisition of an individual’s facial pattern. In order to tackle these concerns, we developed the implementation of input optimisation algorithms alongside a novel framework for real-time face recognition in the context of video surveillance. The input optimization algorithms, integrated with adaptive thresholding techniques, effectively reduce the need for manual outlier removal by actively identifying outliers for each specific case. The application of this optimisation strategy has demonstrated a substantial enhancement in both the efficiency and precision of our system in comparison to alternative baseline methodologies. Through the use of a reduced set of input image, our system is capable of attaining a heightened degree of improvements. Specifically, employing tracking and temporal voting techniques enables our system to accomplish a real-time face recognition accuracy of 90.91%. The findings of this study suggest that our approach has the potential to be a valuable tool in various applications that necessitate rapid and precise fac

关键词： Computer vision Deep learning Face recognition Image processing Tracking Video surveillance

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A kernel-free support vector machine with Q-margin

A kernel-free support vector machine with Q-margin

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2021 International Conference on Data Analytics for Business and Industry, ICDABI 2021

作者： Pradhan, Smarak Kumar, Sagar Sarkar, Sobhan Maiti, J. Indian Institute of Technology Kharagpur Department of Aerospace Engineering West Bengal 721302 India Indian Institute of Technology Kharagpur Department of Humanities and Social Sciences West Bengal 721302 India Indian Institute of Management Ranchi Information Systems Business Analytics Jharkhand 834 008 India Indian Institute of Technology Kharagpur Department of Industrial and Systems Engineering West Bengal 721302 India

ISBN: (纸本)9781665416566

Support vector machine (SVM) is one of the most well-known machine learning algorithms highly adept at handling both linear and non-linear binary classification problems. Linear separation margin deals easily with linearly separable data but is unfortunate to handle non-linear data. SVM with various kernel functions has great success in non-linear binary classification tasks, which map data into a higher plane to perform the classification. Unfortunately, it has been proved difficult and cumbersome to explicitly define and test these kernels, making them computationally expensive. Recently, some quadratic separation SVM models were introduced which uses quadratic surfaces for non-linear binary separations. In this study, a kernel-free quadratic SVM is proposed by the integration of a novel Q-margin for binary classification. The properties and the existence of a unique solution of the Q-margin have been discussed. Furthermore, the performance analyses on nine public data sets are done. The numerical results demonstrate the effectiveness and significance of the proposed model. It is seen that the proposed model performs 2-3% better on average when compared with well-known SVM models with or without kernels and other state-of-the-art classifiers. © 2021 IEEE.

关键词： Support vector machines

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Physics based modeling of machining Inconel 718 to predict surface integrity modification

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Procedia CIRP 2019年 82卷 350-355页

作者： Sergio Rinaldi Stano Imbrogno Giovanna Rotella Domenico Umbrello Luigino Filice University of Calabria Department of Mechanical Energy and Management Engineering 87036 Rende (CS) Italy Department of Computer Engineering Modeling Electronics and Systems Engineering University of Calabria Rende CS 87036 Italy

Inconel 718 nickel-based super alloy is widely used in aerospace, nuclear and marine industries due to its important thermo-mechanical properties and excellent corrosion resistance. However, the possibility to produce parts with a superior surface quality (e.g. enhanced surface integrity) still represents a challenge for manufacturing industry since the standard processing parameters are not suitable when difficult-to-cut materials are involved. Thus, predictive models represent a useful tool to simulate the material behavior during machining. Physics based computational analysis is an excellent technique to analyze the micro-scale phenomena (e.g. dynamic recrystallization, density of dislocation changes) taking place during the plastic deformation processes. Thus, it represents an important tool to optimize the cutting process achieving the desired characteristics of the machined surface. This work presents a physics based model developed to assess the micro-mechanical behavior of Inconel 718 super alloy subject to severe machining operations. Results show the good capability of the model to properly deal with the main physical phenomena taking place during the process and to correctly predict the main surface modifications which affect the final product performance.

关键词： Physics Based Modeling Hard Machining Inconel 718 Surface Integrity

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Numerical Treatment of Parametric Gradient Problems in Source Term by New Difference Methods

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Journal of the Chinese Society of Mechanical Engineers, Transactions of the Chinese Institute of Engineers, Series C/Chung-Kuo Chi Hsueh Kung Ch'eng Hsuebo Pao 2018年第6期39卷 609-618页

作者： Shieh, Tzong-Hann Li, Meng-Rong Li, Yu-Tso Chen, Yung-Ting Department of Aerospace and Systems Engineering Feng Chia University 100 Wenhwa Rd. Seatwen Taichung Taiwan Ph.D. Program of Mechanical and Aeronautical Engineering Feng Chia University 100 Wenhwa Rd. Seatwen Taichung Taiwan Department of Mathematical Sciences National Chengchi University 64 Sec. 2 ZhiNan Rd. Wenshan District Taipei Taiwan Department of Mechanical Engineering Minghsin University of Science and Technology No.1 Xinxing Rd. Xinfeng Hsinchu30401 Taiwan

In this paper, we expand the energy equation of unsteady Euler equations as the form of mixture gas and carry out the numerical resolution through the FVM to discuss the nonphysical oscillations near the contact discontinuity interface and shock wave. We resolve the equations by using the AUSMDV Riemann solver with different flux limiters, the FVM and the second-order with two-step discrete-time stepping method. For the source term in the investigated Euler equations with multi-species, we discuss the facing problem of for the numerical treatment of gradient in different type and test the non-physical oscillation problem by establishing a new applied method of gradient control. © 2018, Chinese Mechanical engineering Society. All right reserved.

关键词： Euler equations

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Integration of computer based problem solving into engineering curricula

Integration of computer based problem solving into engineeri...

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2008 ASEE Annual Conference and Exposition

作者： Raubenheimer, Dianne Brent, Rebecca Joines, Jeff Craig, Amy North Carolina State University Department of Adult and Higher Education College of Education NCSU Education Designs Inc. Education Designs Inc. Cary NC United States College of Engineering North Carolina State University National Effective Teaching Institute Chemistry and Science Department NC State University Textile Engineering Program College of Engineering Student-Owned Computing College of Engineering Department of Industrial and Systems Engineering NC State University

The primary objectives of this engineering project are (1) to examine how to develop students' problem solving and computational skills early in their program of study and (2) to further enhance these skills by building upon critical computing concepts semester after semester. The project is a component of NC State University's quality enhancement plan, which focuses on the use of technology in enhancing student learning. The project stems from new introductory computer-based modeling courses that were created in two engineering departments, and has expanded to include other departments. We give an overview of the project, provide an example of how a problem is modeled and broken apart, present some assessment results, and discuss the emerging lessons being learned. © American Society for engineering Education, 2008.

关键词： Problem solving

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