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Research Square 2021年

作者： Ghosh, Shyamali Roy, Sankar Kumar Verdegay, Jose Luis Department of Applied Mathematics with Oceanology and Computer Programming Vidyasagar University West Bengal Midnapore721102 India Department of Computer Science and Artificial Intelligence University of Granada Granada Spain

This paper is to integrate among solid transportation problem, budget constraints and carbon emission with probable maximum profit. The limits of air pollution and climate variation are solely dependent by exerting CO2 gas and rest greenhouse gases due to myriad transportation system. Henceforth, it is our apt mission to minimize carbon emission for pollution free environment. Again transportation system with single objective is hardly applicable to the situation with more than one criterion. Therefore multi- objective decision making is incorporated for designing real-life transportation problem. Due to time pressure, data limitation, lack of information or measurement errors in practical problems, there exist some hesitations or suspicions. Based on the fact, decision maker considers indeterminacy in the designed problems. To overcome the restriction on occurrence and non-occurrence of fuzzy and intuitionistic fuzzy, neutrosophic set is very important and suitable to accommodate such general structure of problems. Therefore neutrosophic environment with neutrosophic linear programming, fuzzy programming and global criterion method are profiled to search the compromise solution of the multi- objective transportation problem (MOTP). Thereafter, the performance of the considered model is useful by evaluating a numerical example;and then the derived results are compared. Finally sensitivity analysis and conclusions with upcoming works of this research are stated hereafter. © 2021, CC BY.

关键词： Greenhouse gases

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Complexity Reduced IIR Filter Design for FPGA 2

Complexity Reduced IIR Filter Design for FPGA

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2nd IEEE International Conference on System Analysis and Intelligent Computing, SAIC 2020

作者： Sergiyenko, Anatoliy Serhienko, Anastasia Igor Sikorsky Kyiv Polytechnic Institute Dept. of Computer Engineering Kyiv Ukraine Igor Sikorsky Kyiv Polytechnic Institute Dept. of System Programming and Specialized Computer Systems Kyiv Ukraine

ISBN: (纸本)9781728190822

In this paper, a method of high order IIR filter design is proposed in which the coefficients in the canonical binary number system representation are searched by the simulated annealing algorithm. The high-quality IIR filters are designed using the all-pass filter stages, methods of masking filters and multiplied delays. It was proven, that if the coefficients of the multiplierless filter have no more than three summands in their representation, then its pipelined implementation in FPGA has the highest clock frequency. The use of the VHDL language in all the steps of the filter design helps to speed-up and improve the filter optimization. © 2020 IEEE.

关键词： IIR filters

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Evaluating carbon cap and trade policy effects on a multi-period bi-objective closed-loop supply chain in retail management under mixed uncertainty: Towards greener horizons

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Expert Systems with Applications 2024年 250卷

作者： Bhunia, Satyajit Das, Soumen Kumar Jablonsky, Josef Roy, Sankar Kumar Department of Pure and Applied Science Midnapore City College Kuturia West Bengal Bhadutala721129 India Department of Industrial Management National Taiwan University of Science and Technology Taipei Taiwan Department of Econometrics Faculty of Informatics and Statistics Prague University of Economics and Business Praha 3 Prague Czech Republic Department of Applied Mathematics with Oceanology and Computer Programming Vidyasagar University West Bengal Midnapore721102 India

In response to the growing imperative of addressing environmental concerns and aligning with governmental regulations in supply chain management, this study navigates the optimization landscape of closed-loop supply chains through the lens of carbon cap and trade policy. The optimization model aims to account for the impact of consumer demands, distribution networks, and retail operations on the overall closed-loop supply chain dynamics. The innovative approach introduces an optimization model designed to grapple with the challenges posed by imprecise information within an intuitionistic type-2 fuzzy framework. The bi-objective mixed-integer model integrates pivotal objectives, including carbon emissions reduction, total cost minimization, and trade policy compliance. For a nuanced comprehension of the proposed model, we present three numerical examples, offering clarity on its complexities. Following this, a sensitivity analysis visually depicts the impact of fluctuations in demand and capacity on the defined objective functions. Furthermore, these conclusions unveil promising avenues for future research and exploration within the ambit of this study. © 2024 Elsevier Ltd

关键词： Multiobjective optimization

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Improvement and verification methods for components/systems in automobile applications in the field of reliability forecasting with respect to one and two dimensions of stress factors 30

Improvement and verification methods for components/systems ...

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30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020

作者： Krini, Abderrahim Börcsök, Josef Engineering of Remanufacturing and Quality Robert Bosch GmbH Schwäbisch Gmünd Germany Department of Computer Architecture and System Programming University of Kassel Kassel Germany

ISBN: (纸本)9789811485930

The details of future failures of systems that are serially produced are important for the remanufacturing departments to frame an optimal strategy for the post series supply. The existing one-dimensional and two-dimensional reliability prediction models predict field failures as a function of time based on the stress which the components/systems experience in the field until failure. In day-to-day situations the failure forecasts depend on many external factors like registration delay, which is the delay between the production of a system and its registration in market, reporting delay, which is the delay between the field failure and its reporting time, the export of vehicles to other countries or permanent damage caused to the vehicles. The improvement procedures are integrated into the existing reliability forecast models to reduce the incompleteness of the warranty data due to the influence of external factors using MATLAB. The verification process is to compare the forecasted field failures by the existing models with the actual field failures. The prognosis is carried out based on different failures data sets. With the help of sales data from Original Equipment Manufacturers, the forecasted failures Year to Date are verified. A validation of the results is carried out to check the impact of the influencing factors. © ESREL2020-PSAM15 *** by Research Publishing, Singapore.

关键词： Forecasting

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Sensing metric-based hybrid underlay/overlay transmission framework for CR-IoT networks for smart city applications

Sensing metric-based hybrid underlay/overlay transmission fr...

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7th IET Smart Cities Symposium (SCS 2023)

作者： Indu Bala Maad M. Mijwil Mostafa Abotaleb El-Sayed M. El-kenawy Abdelhameed Ibrahim School of Electrical and Electronics Engineering Lovely Professional University Punjab India Computer Techniques Engineering Department Baghdad College of Economic Sciences University Baghdad Iraq Department of System Programming South Ural State University Chelyabinsk Russia Department of Communications and Electronics Delta Higher Institute of Engineering and Technology Egypt Computer Engineering and Control Systems Department Faculty of Engineering Mansoura University Mansoura Egypt

With the increasing number of IoT devices, there is a growing need for bandwidth to support their communication. Unfortunately, there is a shortage of available bandwidth due to preallocated bands for various services. To address this issue, Cognitive Internet of Things (CR-IoT) enables devices to optimize their efficiency and enhance their communication capabilities by intelligently accessing available bandwidth. This is achieved through the use of soft sensing metrics, where devices continuously monitor the RF environment and transmit data opportunistically in overlay mode if a free channel is detected, or in underlay mode if not. In this paper, a soft sensing metric based hybrid transmission framework is proposed for CR-IoT devices to meet the data rate requirement for the smart city applications. The efficacy of this approach is demonstrated through simulation results.

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Reliability Forecasting for Components/Systems with respect to 1-, 2- And 3- Dimensions of Stress Factors 30

Reliability Forecasting for Components/Systems with respect ...

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30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM 2020

作者： Krini, Abderrahim B rcs k, Josef Engineering of Remanufacturing and Quality Robert Bosch GmbH Schw bisch Gm nd Germany Department of Computer Architecture and System Programming University of Kassel Kassel Germany

ISBN: (纸本)9789811485930

Remanufacturing, a popular term in the automotive industry, helps to reduce the need for raw materials, increase profitability, is an effective solution to the challenges of postal items and also benefits the environment. For the remanufacturing department, the reliability and failure rate of serial products is particularly important, and therefore the accurate prediction of failure rates is also important. It must be ensured that the product meets its reliability requirements. Existing one, two and three dimensional reliability prediction models predict field failures as a function of time, based on the stress experienced by the components/systems in the field until failure. The existing models have been extended to include the parameters that allow us to predict the reliability of refurbished systems. Improvements such as registration delays, reporting delays and the corrected candidate calculation, which deals with whether the product is still within the warranty period after the observation period, are present in the models and are applied to the systems. This reduces the incompleteness of warranty data due to the influence of external factors with MATLAB. The reliability of systems can be predicted with the lifetime prediction and further conclusions can be drawn for future development. In the verification process, the predicted field failures of the models are compared with the real field failures. ©ESREL2020-PSAM15 Organizers.

关键词： Failure rate

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Intelligent Agent for Support of Decision Making on Civil Law Regulation of Contract for the Provision of in Vitro Fertilization 15

Intelligent Agent for Support of Decision Making on Civil La...

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15th IEEE International Scientific and Technical Conference on computer Sciences and Information Technologies, CSIT 2020

作者： Hovorushchenko, Tetiana Herts, Alla Hnatchuk, Yelyzaveta Computer Engineering and System Programming Department Khmelnytskyi Ukraine Ivan Franko National University of Lviv Civil Law and Legal Proceedings Department Lviv Ukraine

ISBN: (纸本)9781728174433

Nowadays in Ukraine, there is a need for automation and removal of human from the processes of decision making on civil law regulation of contract for the provision of in vitro fertilization, which can significantly increase the correctness of the concluded contract in terms of civil law and medical law. So, the purpose of this study is the development of an intelligent agent for support of decision making on civil law regulation of contract for the provision of in vitro fertilization. The method of activity of intelligent agent for support of decision making on civil law regulation of contract for the provision of in vitro fertilization was first developed in this paper, which concludes that the content of the contract for the provision of in vitro fertilization is correct or incorrect, as well as a recommendation to conclude a contract (if its content is correct) or to revise the contract (if its content is incorrect). © 2020 IEEE.

关键词： Decision making

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Method of Evaluating the User Interface of Software Systems for Compliance with the Gestalt Principles 14

Method of Evaluating the User Interface of Software Systems ...

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14th IEEE International Scientific and Technical Conference on computer Sciences and Information Technologies, CSIT 2019

作者： Hovorushchenko, Tetiana Pavlova, Olga Kobel, Kostyantyn Computer Engineering and System Programming Department Khmelnytskyi Ukraine

ISBN: (纸本)9781728108063

The purpose of this study is increasing the usability of the user interfaces (UI) by ensuring their compliance with Gestalt principles. The developed method of evaluating the compliance of the UI with Gestalt principles provides: quantitative evaluation of the compliance of the UI with each of the Gestalt principles;quantitative evaluation of the compliance of the UI to all Gestalt principles in the complex;selection of elements of the UI, which meet to the largest and smallest quantity of Gestalt principles;the formation of the set of UI elements, which require further re-work in order to provide them the compliance with Gestalt principles;increase of compliance of the UI with the Gestalt principles (by 15% for the real UI of webpage for selling the jewelry). © 2019 IEEE.

关键词： User interfaces

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Improvement approaches in the field of reliability forecasting for components/systems in automobile applications with respect of multivariate stress factors 29

Improvement approaches in the field of reliability forecasti...

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29th European Safety and Reliability Conference, ESREL 2019

ISBN: (纸本)9789811127243

To remanufacture automobile systems, it is important to understand the future failure rate of the serially produced systems. In addition, remanufacturing departments need the information about the number of cores to remanufacture, the condition of these cores, as well as the number of replacement systems the market needs. Based on the existing univariate, bivariate and multivariate models a new improved forecasting model is developed, which considers practical factors like export of the vehicle to other countries, damage of the entire vehicle, reporting delay between production and in-market time or between vehicle failure and failure reporting time. This paper presents all necessary tools to achieve the improvement and its implementation in MATLAB. Copyright © 2019 European Safety and Reliability Association.

关键词： Commerce

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Forecasting reliability of components/systems in automobile applications with respect to three variables of stress in field based on neural network 29

Forecasting reliability of components/systems in automobile ...

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29th European Safety and Reliability Conference, ESREL 2019

ISBN: (纸本)9789811127243

Nowadays the information of future rates of systems produced in series appears to be crucial to the production plan, especially for remanufacturing departments. Several questions need to be answered: the number of cores to remanufacture the condition of those cores as well as the number of replacement system the market requires. Based on a bivariate prognosis model, a multivariate model is developed to take more variables of stress in field into account. What's more, the fitting process has been optimized by using neural networks. This paper presents all necessary tools to perform a multivariate lifetime prognosis as well as the implementation in MATLAB. © 2019 European Safety and Reliability Association. Published by Research Publishing, Singapore.

关键词： Production control

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