Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Nafize R. Paiker"'
Autor:
Jianchen Shan, Cristian Borcea, Narain Gehani, Reza Curtmola, Xiaoning Ding, Nafize R. Paiker
Publikováno v:
IEEE Transactions on Cloud Computing. 8:97-111
With cloud assistance, mobile apps can offload their resource-demanding computation tasks to the cloud. This leads to a scenario where computation tasks in the same program run concurrently on both the mobile device and the cloud. An important challe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1eaee2145dc203303f1fb2afe9279083
https://doi.org/10.1109/tcc.2017.2763158
https://doi.org/10.1109/tcc.2017.2763158
Autor:
Cristian Borcea, Paolo Bellavista, Domenico Scotece, Xiaoning Ding, Luca Foschini, Nafize R. Paiker
Publikováno v:
WOWMOM
Computation offloading is employed by mobile apps running over resource-constrained devices to leverage the cloud in overcoming their resource limits. The advent of the Multi-access Edge Computing (MEC) paradigm further extends the potential opportun
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29c25d2ce14affe1bcedfff5a8917a95
https://doi.org/10.1109/wowmom.2019.8792987
https://doi.org/10.1109/wowmom.2019.8792987
Publikováno v:
CloudCom
Recent research has proposed middleware to enable efficient distributed apps over mobile-cloud platforms. This paper presents a Context-Aware File Discovery Service (CAFDS) that allows distributed mobile-cloud applications to find and access files of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5548f6883023f295827c5f7e9eb0c70
https://doi.org/10.1109/cloudcom2018.2018.00047
https://doi.org/10.1109/cloudcom2018.2018.00047
Autor:
Jianchen Shan, Nafize R. Paiker, Reza Curtmola, Cristian Borcea, Narain Gehani, Hillol Debnath, Pradyumna Neog, Xiaoning Ding
Publikováno v:
Proceedings of the 11th International Conference on Body Area Networks.
This paper presents FaceDate, a novel mobile app that matches persons based on their facial looks. Each FaceDate user uploads their profile face photo and trains the app with photos of faces they like. Upon user request, FaceDate detects other users
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0eea9d5d1d807a98bbd588ea9b6a8af6
https://doi.org/10.4108/eai.15-12-2016.2267654
https://doi.org/10.4108/eai.15-12-2016.2267654
Autor:
Hillol Debnath, Narain Gehani, Mohammad A. Khan, Nafize R. Paiker, Reza Curtmola, Cristian Borcea, Xiaoning Ding
Publikováno v:
Journal of Systems and Software. 157:110387
Commonly, mobile cloud computing assumes that each mobile device of a user is paired with a user-controlled surrogate in the cloud to overcome resource limitations on mobiles. Our Avatar platform leverages this model to support efficient distributed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::685aecedb90cb661da09c4159e3a2ff1
https://doi.org/10.1016/j.jss.2019.07.089
https://doi.org/10.1016/j.jss.2019.07.089
Autor:
Reza Curtmola, Cristian Borcea, Xiaoning Ding, Hillol Debnath, Nafize R. Paiker, Mohammad A. Khan, Narain Gehani
Publikováno v:
MobileCloud
This paper presents Moitree, the middleware of our Avatar platform for mobile cloud computing. Avatar leverages cloud resources to support fast, scalable, reliable, and energy efficient distributed computing over mobile devices. Each mobile device is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c99a44eafa3b33f44f700232ef59a4e
https://doi.org/10.1109/mobilecloud.2016.21
https://doi.org/10.1109/mobilecloud.2016.21
Autor:
Cristian Borcea, Xiaoning Ding, Nafize R. Paiker, Jianchen Shan, Reza Curtmola, Narain Gehani
Publikováno v:
MSST
With cloud assistance, a mobile application can offload its resource-demanding computation tasks to the cloud (public cloud, cloudlet, or personal cloud, etc). This leads to a scenario where computation tasks in the same application run concurrently
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8fa9dab7a9172915f46d057b8a82e998
https://doi.org/10.1109/msst.2016.7897093
https://doi.org/10.1109/msst.2016.7897093
Publikováno v:
FUZZ-IEEE
Split and Merge (SM) algorithm is a well recognized algorithm for segmenting homogeneous regions in an image. Though SM algorithm is simple and easy, this algorithm is unable to segment all type objects in an image successfully due to huge variations
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13eb78aa826099ff56564424cb9f9e94
https://doi.org/10.1109/fuzzy.2009.5277064
https://doi.org/10.1109/fuzzy.2009.5277064
Publikováno v:
TENCON 2008 - 2008 IEEE Region 10 Conference.
Image segmentation is a feverish issue as it is a challenging job and most digital imaging applications require it as a preprocessing step. Among various algorithms, although split and merge (SM) algorithm is highly lucrative because of its simplicit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c444c10cb82ef71d84d0e858e5594081
https://doi.org/10.1109/tencon.2008.4766802
https://doi.org/10.1109/tencon.2008.4766802
Publikováno v:
International Journal of Signal and Imaging Systems Engineering. 2:70
In spite of simplicity and effectiveness in segmenting homogeneous regions in an image, Split-and-Merge (SM) algorithm is unable to segment all types of objects due to huge number of objects with myriad variations among them and due to high dependabi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad2b7b158e4cc6ee334d162e2e6941d7
https://doi.org/10.1504/ijsise.2009.029332
https://doi.org/10.1504/ijsise.2009.029332