A short note on an intelligent system for selection of materials for progressive die components

2007 ◽  
Vol 182 (1-3) ◽  
pp. 456-461 ◽  
Author(s):  
S. Kumar ◽  
R. Singh
Keyword(s):  
Intelligent System ◽  
Short Note ◽  
Progressive Die ◽  
Selection Of

IMPLEMENTASI PENENTUAN ARSITEKTUR MASJID MODERN DI ACEH MENGGUNAKAN PEMODELAN SISTEM CERDAS

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Soraya Masthura Hasan ◽  
T Iqbal Faridiansyah
Keyword(s):  
Fuzzy Inference System ◽  
Architectural Design ◽  
Fuzzy Inference ◽  
Intelligent System ◽  
Selection Process ◽  
System Modeling ◽  
Inference System ◽  
Normal Limits ◽  
Roof Structure ◽  
Selection Of

Mosque architectural design is based on Islamic culture as an approach to objects and products from the Islamic community by looking at their suitability and values and basic principles of Islam that explore more creative and innovative ideas. The purpose of this system is to help the team and the community in seeing the best mosque in the top order so that the system can be used as a reference for the team and the community. The variables used in the selection of modern mosques include facilities and infrastructure, building structure, roof structure, mosque area, level of security and facilities. The system model used is a fuzzy promethee model that is used for the modern mosque selection process. Fuzzy inference assessment is used to determine the value of each variable so that the value remains at normal limits. Fuzzy values will then be included in promethee assessment aspects. The highest promethee ranking results will be made a priority for the best mosque ranking. This fuzzy inference system and promethee system can help the management team and the community in determining the selection of modern mosques in aceh in accordance with modern mosque architecture. Intelligent System Modeling System In Determining Modern Mosque Architecture in the City of Aceh, this building will be web based so that all elements of society can see the best mosque in Aceh by being assessed by all elements of modern mosque architecture.Keywords: Fuzzy inference system, Promethe, Option of  Masjid

scholarly journals Intelligent CBR system for automation of the search process for efficient methods for cleaning exhaust gases

2021 ◽  
pp. 44-50
Author(s):  
Liudmyla Bugaieva ◽  
Yurii Beznosyk
Keyword(s):  
Nitrogen Oxides ◽  
Nearest Neighbor ◽  
Intelligent System ◽  
Case Based Reasoning ◽  
K Nearest Neighbor ◽  
Stream Data ◽  
Exhaust Gases ◽  
Intelligent Decision Making ◽  
Decision Making System ◽  
Selection Of

In this study, the objective is to develop an intelligent system for making decisions on the choice of methods for cleaning exhaust gases from sulfur and nitrogen oxides using the Case-Based Reasoning- (CBR). The task of automating the selection of effective methods for cleaning waste gases is urgent and meets the paradigm of sustainable development. A database on methods for cleaning exhaust gases from nitrogen and sulfur oxides was created. The potential use of intelligent inference on precedents from the database to select the most appropriate cleaning method for new emission stream data is considered. The work of the CBR method is represented as a life cycle, which has four main stages: Retrieving, Reusing, Revising and Retaining. The following characteristics of precedents were considered: degree of purification, initial concentration, temperature, presence of impurities, obtained product, material consumption, and energy consumption. All of these characteristics (in CBR attributes), except for the fourth and fifth, are given by numerical values with respective units of measurement and can be easily normalized. The presence of impurities and the product are categorical attributes with a certain set of values (classes). One of the main problems in CBR was solved: the problem of choosing the type of indexes. A set of all input characteristics of the precedent as indices is suggested to be used for the proposed decision support system (DSS) for methods of cleaning gas emissions. The first two phases of the CBR lifecycle use the k-nearest neighbor method to Retrieving and Reusing. The Euclidean metric is used to estimate the distances between precedents in the developed system. During the third and fourth phases of CBR, the intervention of the decision maker is provided. The process finishes with the adoption of the found solution and the possible storage of this solution in the base of use cases. An intelligent decision-making system has been developed for the selection of methods for cleaning exhaust gases from sulfur and nitrogen oxides based on the method of inference by precedents (CBR), which has been done for the first time for such tasks of chemical technology.

Intelligent system for selection of order picking technologies

2020 ◽  
Vol 26 (8) ◽  
pp. 5809-5816
Author(s):  
Gabriela Villarreal-Zapata ◽  
Tomas E. Salais-Fierro ◽  
Jania Astrid Saucedo-Martínez
Keyword(s):  
Intelligent System ◽  
Order Picking ◽  
Selection Of

scholarly journals INTRODUCTION TO RECENT INSIGHTS INTO FINANCIAL, HOUSING, AND MONETARY MARKETS

2017 ◽  
Vol 22 (7) ◽  
pp. 1721-1726
Author(s):  
Fredj Jawadi
Keyword(s):  
Nonlinear Dynamics ◽  
Financial Markets ◽  
International Workshop ◽  
Asset Price ◽  
Short Note ◽  
Price Dynamics ◽  
Special Issue ◽  
Real Activity ◽  
Market Trends ◽  
Selection Of

This short note gives an overview of recent research on topics concerning Financial, Housing, and Monetary markets. In particular, I introduce a special issue that includes a selection of papers presented at the second International Workshop on Financial Markets and Nonlinear Dynamics (FMND) held in Paris in June 2015 (www.fmnd.fr). The papers investigate various issues and discuss hypotheses that help us to understand asset price dynamics and their impact on real activity, as well as the new rules governing financial markets. Furthermore, their conclusions can help us to improve the forecasting of market trends in the future.

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