RESUMO
This research tries to investigate the dynamic link between higher education institution (HEIs) transformational leaders (TFL) and follower's outcome innovative work behavior (IWB) and Task Performance) through Knowledge sharing (KNS) in Pakistan. Using quantitative design an adopted construct was used to obtain response from HEIs leaders and employees behavior. The obtained information was analyzed through structural equation modeling (SEM) technique via Smart PLS. Results depict that direct link between University Transformational leadership and employees Innovative work behavior as well as Task Performance. The results further postulate that KNS mediate the relationship between Transformational leadership and employees TSP in the context of HEIs. Surprisingly, KNS could not evident to become a mediating variable to strengthen the relationship between transformational Leadership and employees IWB in the HEIs sector of Pakistan. In addition to enhancing the theoretical comprehension of higher education leadership, the outcomes of this article provide that promoting knowledge sharing culture is valuable asset for both existing and future HEIs leaders in order to promote the culture of innovation and creativity. Although recent studies investigate the role of KNS as a mediator, however the current study use KNS as contemporaneous intervening variable for IWB and Task Performance for the first time. The study also confirms theoretical underpinning of social exchange mechanism in strengthening the relationship between leader member's continuum.
RESUMO
In this paper, we present a review of the research literature regarding applying X-ray imaging of baggage scrutiny at airport. It discusses multiple X-ray imaging inspection systems used in airports for detecting dangerous objects inside the baggage. Moreover, it also explains the dual energy X-ray image fusion and image enhancement factors. Different types of noises in digital images and noise models are explained in length. Diagrammatical representations for different noise models are presented and illustrated to clearly show the effect of Poisson and Impulse noise on intensity values. Overall, this review discusses in detail of Poisson and Impulse noise, as well as its causes and effect on the X-ray images, which create un-certainty for the X-ray inspection imaging system while discriminating objects and for the screeners as well. The review then focuses on image processing techniques used by different research studies for X-ray image enhancement, de-noising, and their limitations. Furthermore, the most related approaches for noise reduction and its drawbacks are presented. The methods that may be useful to overcome the drawbacks are also discussed in subsequent sections of this paper. In summary, this review paper highlights the key theories and technical methods used for X-ray image enhancement and de-noising effect on X-ray images generated by the airport baggage inspection system.
