Melez Elektrikli Araçlar için Uzman Denetleyeci Sistemi

Date

2008-11-15

Author

Özen, Etkin
Dölen, Melik
Yıldırım, Murat

Metadata

Show full item record

Item Usage Stats

65
views

0
downloads

URI

https://hdl.handle.net/11511/74871

Collections

Unverified, Conference / Seminar

Suggestions

OpenMETU
Core

Design of smart controllers for hybrid electric vehicles Özen, Ekin; Dölen, Melik; Department of Mechanical Engineering (2005) This thesis focuses on the feasibility of designing a commercial hybrid electric vehicle (HEV). In this work, relevant system models are developed for the vehicle including powertrain, braking system, electrical machines and battery. Based on these models ten different HEV configurations are assembled for detailed assessment of fuel consumption. This thesis also proposes a smart power management strategy which could be applied to any kind of HEV configuration. The suggested expert system deals with the exte...
A Two stage approach for hybrid-assembly line design Şimşek, Doğukan; Kırca, Ömer; Department of Industrial Engineering (2014) The aim of the study is to propose an approach for hybrid assembly line design in the make-to-order and mixed-model environment. In this context, the main goal is to reduce lead-time, which is one of the key concepts of competitive markets. A systematic approach was employed for designing of hybrid assembly line in order to achieve the goal. The line is divided into two parts in a hybrid system: while the first part of the line works as a closed-loop system for instant replenishment of Constant Work in Prog...
Methods for hybrid flow shop scheduling and a case study in an aerospace company Özmen, Yiğitalp; Meral, Fatma Sedef; Department of Industrial Engineering (2019) In this study, we address the scheduling problem in Hybrid Flow Shop (HFS) with makespan objective. Since this problem is known to be NP-hard and an HFS is a common environment in real-life manufacturing systems, several approximate solution approaches have been proposed in the literature. Hence, we resort to some of these such as MILP model, dispatching rules, Palmer, CDS, NEH, and Bottleneck Heuristic. Due to the complexity of HFS scheduling problem, MILP model provides only a near optimal solution by usi...
A Comparison of different recommendation techniques for a hybrid mobile game recommender system Cabir, Hassane Natu Hassane; Alpaslan, Ferda Nur; Çakıcı, Ruket; Department of Computer Engineering (2012) As information continues to grow at a very fast pace, our ability to access this information effectively does not, and we are often realize how harder is getting to locate an object quickly and easily. The so-called personalization technology is one of the best solutions to this information overload problem: by automatically learning the user profile, personalized information services have the potential to offer users a more proactive and intelligent form of information access that is designed to assist us ...
Probabilistic latent semantic analysis based framework for hybrid social recommender systems Eryol, Erkin; Çiçekli, Fehime Nihan; Department of Computer Engineering (2010) Today, there are user annotated internet sites, user interaction logs, online user communities which are valuable sources of information concerning the personalized recommendation problem. In the literature, hybrid social recommender systems have been proposed to reduce the sparsity of the usage data by integrating the user related information sources together. In this thesis, a method based on probabilistic latent semantic analysis is used as a framework for a hybrid social recommendation system. Different...

Citation Formats

E. Özen, M. Dölen, and M. Yıldırım, “Melez Elektrikli Araçlar için Uzman Denetleyeci Sistemi,” 2008, vol. 2, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/74871.