A New Adaptive Grey Decision-Energy Aware Management System Based On The Optimal Read Only-Write Buffer Architecture For Flash Memory In Embedded And Mobile Devices

2010 ◽  
Vol 16 (4) ◽  
pp. 495-506
Author(s):  
W.T. Huang ◽  
C.H. Chen ◽  
H.-D.J. Jeong ◽  
C.T. Chen
2017 ◽  
Vol 2 (2) ◽  
pp. 31-35
Author(s):  
Akshada Abnave ◽  
Charulata Banait ◽  
Mrunalini Chopade ◽  
Supriya Godalkar ◽  
Soudamini Pawar ◽  
...  

M-learning or mobile learning is defined as learning through mobile apps, social interactions and online educational hubs via Internet or network using personal mobile devices such as tablets and smart phones. However, in such open environment examination security is most challenging task as students can exchange mobile devices or also can exchange information through network during examination. This paper aims to design secure examination management system for m- learning and provide appropriate mechanism for anti- impersonation to ensure examination security. The users are authenticated through OTP. To prevent students from exchanging mobile devices during examination, system re-authenticates students automatically through face recognition at random time without interrupting the test. The system also provides external click management i.e. prevent students from accessing online sites and already downloaded files during examination.


2014 ◽  
Vol 29 (2) ◽  
pp. 116-122 ◽  
Author(s):  
Marija Obrenovic ◽  
Djordje Lazarevic ◽  
Edin Dolicanin ◽  
Milos Vujisic

This paper deals with the flash memory reliability in terms of the ionizing radiation effects. In fact, the reliability of flash memory depends on physico-chemical restrictions of electrostatic nature due to the effects of ionizing radiation. The presented results are actual as a high degree of integrated components miniaturization affects the memory sensitivity, while the role of memories in the solar cells management system for space flights is increasing, so that the effects of ionizing radiation may cause changes in the stored data or the physical destruction of the flash memory components.


Sensors ◽  
2019 ◽  
Vol 19 (14) ◽  
pp. 3098 ◽  
Author(s):  
Luis Augusto Silva ◽  
Valderi Reis Quietinho Leithardt ◽  
Carlos O. Rolim ◽  
Gabriel Villarrubia González ◽  
Cláudio F. R. Geyer ◽  
...  

With the growing number of mobile devices receiving daily notifications, it is necessary to manage the variety of information produced. New smart devices are developed every day with the ability to generate, send, and display messages about their status, data, and information about other devices. Consequently, the number of notifications received by a user is increasing and their tolerance may decrease in a short time. With this, it is necessary to develop a management system and notification controls. In this context, this work proposes a notification and alert management system called PRISER. Its focus is on user profiles and environments, applying data privacy criteria.


2009 ◽  
Vol 58 (6) ◽  
pp. 744-758 ◽  
Author(s):  
Sooyong Kang ◽  
Sungmin Park ◽  
Hoyoung Jung ◽  
Hyoki Shim ◽  
Jaehyuk Cha

Author(s):  
SHANMUGAM POONKUNTRAN ◽  
R. S. RAJESH ◽  
PERUMAL ESWARAN

Since its advent, the use of digital camera in mobile phones is getting more popular, where information retrieval based on visual appearance of an object is very useful when specific parameters for the object are not known. Though it is well-liked, it needs energy aware algorithms to carry out the various tasks such as segmentation and feature extraction. In this paper, a new energy aware fuzzy color segmentation algorithm is proposed and which has been applied for face segmentation in criminal identification using mobile devices. The criminals in the application are in three classes. They are New Criminal (NC), Suspected Criminal (SC) and Confirmed Criminal (CC). It is basically a mobile image-based content search engine that takes photographs of criminals as image queries and finds their relevant contents by matching them to the similar contents in the criminal databases. The energy aware fuzzy color segmentation is used to obtain the most significant parts of an image — facial regions of the persons and which are used in building image-based queries to the databases. Content search methodology in the application is also improved through the fuzzy modeling to make the application more flexible and simpler. Through the experiment conducted, it has been found that the proposed color segmentation algorithm is more robust and it reduces the computational time in searching process by minimizing the number of false cases. It could detect the faces in the images where the other known algorithms have failed to detect.


Author(s):  
K. F. DOMBROWSKI ◽  
M. METHFESSEL ◽  
P. LANGENDÖRFER ◽  
H. FRANKENFELDT ◽  
I. BABANSKAJA ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document