Hanane Z.
Fuzzy Logic Control System in Medical Field. Proceedings of the International Conference on Industrial Engineering and Operations Management , July 26-27, [Internet]. 2018.
Publisher's VersionAbstract
Since the work of Lotfi Zadeh in 1965, the fuzzy logic continues to interest researchers and industrialists who gather around the "theories of uncertainty". The ramifications of fuzzy logic extend to fields as varied as control, the diagnosis of complex systems, bioinformatics, decision support. Research work is done in bio-informatic field where a system for decision support of anesthetic depth fuzzy basic. This study was carried out under general anesthesia with propofol. We use in our work some parameters influencing the patient’s condition during the course of surgery to control their effects on the depth of general anesthesia by fuzzy logic. In this paper, we propose using the environment MatLab R2017a to realize this application. A comparison between the predictions of the anesthesiologist and anesthetic predictions according to fuzzy logic of our work is done. This study will serve as a guide in developing new anesthesia control systems for patients.
Hanane Z.
Fuzzy Supervision of an Industrial Production Process by Extracting Experts Knwoledge . International Conference on Information, Process, and Knowledge Management (eKNOW 2018). 10th ed: IARIA . 2018 :44-49, 25-29.
Hanane Z, N Z, Samia A, R K.
Fuzzy Supervision of an Industrial Production Process by Extracting Experts Knwoledge. International Conference on Information, Process, and Knowledge Management (eKNOW 2018). 10th ed. IARIA . 2018.
Samia A, Hanane Z, Mawloud T, Naima Z, Khaled L, Abdelghafour K.
Relative bibliometrics of intellectual capital and knowledge management in SCOPUS. International Conference on Industrial Engineering and Operations Management July 26-27, 2018 [Internet]. 2018.
Publisher's VersionAbstract
The purpose of this work is a bibliometric analysis of the evolution of knowledge management (KM) and intellectual capital (IC) as scientific fields in time. The used data was all articles having “intellectual capital” or “knowledge management” in their title from SCOPUS database exported in Excel and R language is used to compute the indexes. The analysis is using the indexes (H index, N index, G index, I index, lotka’s law), which are most related to references and citations of the articles. We find that KM and IC fields are heterogeneous in cases and homogeneous in other cases vis à vis the applied indexes. This analysis is usefull to researchers in the two areas to find the pionners and the most productive authors to potentially collaborate with them and, the most read articles to use them in literature review. In databases of researches, only H index is offered but to all articles of area defined by the database and not for a set of requested articles. This paper is filling this gap, as the first study of KM and IC using relative bibliometric indexes
Samia A, Samira B, Hanane Z, Naima Z, Khaled L, Abdelghafour K.
Relative scientometric analysis of knowledge management journals in SCOPUS. 3rd International Conference on Pattern Analysis and Intelligent Systems (PAIS) [Internet]. 2018.
Publisher's VersionAbstract
The analysis is comparing the scientific journals of the field of IC and knowledge management. The results are presented under tables and graphs and, are commented to make a comparison between these journals. The overall objective of the final work would be the implementation of scientometric indexes using the programming language R and the interpretation of the obtained results. The originality of the paper is the proposal of relative indexes to a query, i.e., relatively to a set of papers and not applied to the overall research database.
Bouhafna K, Aitouche S, Mohamed-Djamel M, Hanane Z.
A strategic method for steering a photovoltaic generator. EKNOW 2018 International Conference on Information, Process, and Knowledge Management [Internet]. 2018.
Publisher's VersionAbstract
There are several forms of electricity generation, first, by burning fuels, such as coal, natural gas or oil, which have an effect on the atmosphere, especially increasing greenhouse gases, or, second, from renewable sources, such as wind, hydro and solar, which are clean and renewable sources of energy. Our work focuses on solar sources, especially photovoltaics; we have treated the steering part of photovoltaic generators using artificial intelligence methods, specifically, case-based reasoning. The system we have built generates actions to be applied to the generator based on its current state and reasoning from previous cases recorded in the case ba
Brahmi S, Hanane Z, Naima Z, Rachad K.
Supervision of an Industrial Process of Milk Production using Fuzzy Logic. International Conference on Industrial Engineering and Operations Management , July 26-27 [Internet]. 2018.
Publisher's VersionAbstract
Because we usually deal with real - world systems with real - world constraints (cost, computer resources, size, weight, power, heat dissipation, etc.), it is understood that the simplest method to accomplish a task is the one that should be used. Experts usually rely on common sense when they solve problems. They also use vague and ambiguous terms. Other experts have no difficulties with understanding and interpreting this statement because they have the background to hearing problems described like this. However, a knowledge engineer would have difficulties providing a computer with the same level of understanding. In a complex industrial process, how can we represent expert knowledge that uses vague and fuzzy terms in a computer to control it? In this work, the application is developed to control the pretreatment and pasteurization station of milk localized in Batna (Algeria) by adopting a control approach based on expert knowledge and fuzzy logic.