A B S T R A C TCovering the face and all body parts, sometimes the only evidence to identify a person is their hand geometry, and not the whole hand-only two fingers (the index and the middle fingers) while showing the victory sign, as seen in many terrorists videos. This paper investigates for the first time a new way to identify persons, particularly (terrorists) from their victory sign. We have created a new database in this regard using a mobile phone camera, imaging the victory signs of 50 different persons over two sessions. Simple measurements for the fingers, in addition to the Hu Moments for the areas of the fingers were used to extract the geometric features of the shown part of the hand shown after segmentation. The experimental results using the KNN classifier were encouraging for most of the recorded persons; with about 40% to 93% total identification accuracy, depending on the features, distance metric and K used.

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With the development of information technology, organizations have applied e-learning system to train their employees in order to enhance the its performance. In this respect, applying web based training will enable the organization to train their employees quickly, efficiently and effectively anywhere at any time. This research aims to extend Unified Theory of Acceptance and Use Technology (UTAUT) using some factors such flexibility of web based training system, system interactivity and system enjoyment, in order to explain the employee

Abstract-Numerous studies have reported the rapid increase in the number of individuals who use smartphones. However, smartphones appear to be increasingly used by healthcare workers, particularly physicians and nurses. Therefore, this study aims to investigate the readiness of medical doctors and patients with chronic conditions in using and adopting smartphones for communication. This study employs the Technology Acceptance Model to examine the behavior of people in using smartphones from the perspectives of trust and rural areas. To realize our objective, we conducted a questionnaire survey that involved medical doctors and patients with chronic conditions. Our particular focus was Al Qunfudhah City in Saudi Arabia. More than 200 questionnaires were distributed to people belonging to different healthcare sectors in the rural areas of Al Qunfudhah City. Our aim was to include every possible scenario and to obtain excellent perspectives. The results that we eventually analyzed indicated that trust factor and rural areas significantly influence the readiness of people belonging to the healthcare sector toward using smartphones. The results of our study concur with the findings of other studies. Our results indicate that smartphones and other high-technology gadgets are now necessary and accepted devices in the different healthcare fields. However, further studies should explore the challenges and effects of smartphone use in the healthcare sector.