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Ya-Hsing Cheng

dblp:76/4593 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2003
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1Databases, data management, data science and information retrieval · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Cellular and mobile networks · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Cellular and mobile networks › mobility management › location management
location update
0.012002
Implementing Automatic Location Update for Follow-Me Database Using VoIP and Bluetooth Technologies · IEEE Trans. Computers 2002
Cellular and mobile networks
mobility management
0.012002
Implementing Automatic Location Update for Follow-Me Database Using VoIP and Bluetooth Technologies · IEEE Trans. Computers 2002

Methods — techniques the papers use, named apart from their topics

bluetooth · 0.0analytic modeling · 0.0VoIP · 0.0
YearPublicationVenuePosition
2003 iMail: a WAP mail retrieving system
Herman Chung-Hwa Rao, Ya-Hsing Cheng, K.-H. Chang, Yi-Bing Lin
Inf. Sci.2
2002 Implementing Automatic Location Update for Follow-Me Database Using VoIP and Bluetooth Technologies
abstract
Personal Number (PN) service or Follow-me service allows a user to access telecommunication services with any terminal (e.g., fixed telephones or mobile phones) in any location within the service area. To provide this feature, the PN user needs to manually register with a phone number every time he/she enters a new location. If the user forgets to register the new phone number, the incoming calls will be misrouted. To provide user-friendly follow-me service, this paper proposes an automatic follow-me service (AFS) approach that automatically updates the PN records in the Follow-me database. The significance of our approach is that AFS can be integrated with existing Follow-me databases to automate PIN services offered by different PSTN service providers. We show how AFS can be implemented by using the Voice over IP and Bluetooth technologies. Then, we propose an analytic model to investigate the performance of AFS. The analytic results are validated by simulation experiments. Our study suggests how to select polling frequency to optimize the AFS performance.
Yi-Bing Lin, Hsu-Yung Cheng, Ya-Hsing Cheng, Prathima Agrawal
IEEE Trans. Computers3