Yaşar University

About: Yaşar University is a education organization based out in Izmir, Turkey. It is known for research contribution in the topics: Exergy & Job shop scheduling. The organization has 760 authors who have published 1436 publications receiving 20813 citations. The organization is also known as: Yaşar Üniversitesi.

Reducing food waste through lean and sustainable operations: a case study from the poultry industry

Abstract: The growing need for solving the problem of food waste for tackling the survival of the planet and humankind is encouraging researchers to seek sustainable operations that alter the conventional methods that are currently in use in the food industry. Lean thinking has been used in this study to propose sustainable operations that incorporate social, economic, and environmental aspects and to handle the multidisciplinary and complex nature of reducing food waste. The value stream mapping methodology has been employed to explain food waste and generate drivers and to observe the end-to-end system flow. Since most of the waste is observed in upstream operations in emerging economies, one of the biggest meat-processing companies in Turkey is studied for illustrating the proposed methodology. As a result of the model, lean and sustainable food operations are suggested considering social, economic and environmental aspects.

Non-procedural implementation of local heuristic search in control network programming

Abstract: The report describes the type of improved uninformed or heuristic search algorithms that are well-suited for non-procedural implementation in Control network programming, and how this can be achieved using the tools for dynamic computation control

Exploring NAT Detection and Host Identification Using Machine Learning

Abstract: The usage of Network Address Translation (NAT) devices is common among end users, organizations, and Internet Service Providers. NAT provides anonymity for users within an organization by replacing their internal IP addresses with a single external wide area network address. While such anonymity provides an added measure of security for legitimate users, it can also be taken advantage of by malicious users hiding behind NAT devices. Thus, identifying NAT devices and hosts behind them is essential to detect malicious behaviors in traffic and application usage. In this paper, we propose a machine learning based solution to detect hosts behind NAT devices by using flow level statistics (excluding IP addresses, port numbers, and application layer information) from passive traffic measurements. We capture a large dataset and perform an extensive evaluation of our proposed approach with four existing approaches from the literature. Our results show that the proposed approach could identify NAT behaviors and hosts not only with higher accuracy but also demonstrates the impact of parameter sensitivity of the proposed approach.

Kullanımlar ve Doyumlar Yaklaşımı Çerçevesinde Facebook Uygulamalarının İncelenmesi: Yaşar Üniversitesi Öğrencileri Üzerine Bir Araştırma

Abstract: Kullanimlar ve doyumlar kurami, genclerin Facebook uygulamalarini kullanma, egilim ve amaclarini anlamaya yonelik bir yol ve teorik altyapi saglamaktadir. Bu calisma, Yasar Universitesi ogrencilerinin sosyal aglardaki kullanim ve doyumlar motivasyonlarini incelemektedir. Bununla beraber, Facebook’taki uygulamalarin kullanici motivasyonlarini arastirirken, bu motivasyonlar ile kullanicilarin etkilesimlerini destekleyici uygulamalarin ozellikleri arasindaki iliskiye de isik tutmaya calismaktadir. Ankete katilan ogrencilerin (n= 406) cogunun Facebook’u eski baglari kurmak / guclendirmek, ardindan temel faydalar dogrultusunda, ucuncu olarak zevkli vakit gecirme motivasyonlari ile kullandiklari saptanmistir. Ayrica universite ogrencilerinin Facebook uygulamalari arasinda, eglence uygulamalarini, daha sonra arkadas ve aile uygulamalarini, ucuncu olarak da yasam tarzi uygulamalarini kullandiklari bulunmustur. Arastirma, gelecekteki calismalara isik tutacak olan oneriler kismi ile tartisilmistir.