Browsing by Author "Lee, Po-Han"

Now showing 1 - 3 of 3

An adaptive Paris Metro Pricing scheme for mobile data networks
(2016-11-12)
Huang, Huai-Sheng
;
Hu, Shu-Chiung
;
Lee, Po-Han
;
Tseng, Yu-Chee
;
資訊工程學系
Because static pricing models (such as flat-rate or tiered-rate models) cannot improve user utility for subscribers and ease network congestion for operators during peak time, Smart Data Pricing has become an important incentive for mobile data markets. Paris Metro Pricing (PMP), which is a static pricing mode inspired by the pricing model for the Paris metro system, uses differentiated prices to motivate users to choose different train classes. Before choosing a class, people will consider their expected quality of service versus the prices that they are willing to pay. Even though PMP cannot guarantee the actual quality of service during service time, a balance between users\' utilities and operators\' revenue is achieved. In this paper, we propose an adaptive PMP scheme, so-called APMP, which determines the dynamic access prices of different classes for the next 24h. The accessible prices should try to increase the revenue while operators can serve more subscribers. Our simulation results show that APMP can significantly improve total revenue and average revenue per user for the operator. Copyright (c) 2016 John Wiley & Sons, Ltd.
An Hourly Day-Ahead Paris Metro Pricing Scheme for Mobile Data Networks
(2015)
Huang, Huai-Sheng
;
Lee, Po-Han
;
Tseng, Yu-Chee
;
Lin, Bo Ting
;
Hu, Wan-Hsun
Since static pricing models (such as flat-rate or tiered-rate models) can not improve user utility for subscribers and ease network congestion for operators during peak time, Smart Data Pricing (SDP) has become an important incentive for mobile data markets. Paris Metro Pricing (PMP), which is a static pricing mode inspired by the pricing model for the Paris metro system, uses differentiated prices to motivate users to choose different train classes. Before choosing a class, people will consider their expected quality of service (QoS) versus the prices that they are willing to pay. Even though FMB can not guarantee the actual QoS during service time, a balance between users\' utilities and operators\' revenue is achieved. In this paper, we propose a dynamic PMP scheme, so-called DPMP, which determines the prices and capacities of different classes for the next 24 hours. The prices should optimize the revenues and utilities for operators and subscribers, respectively. Our simulation results show that DPMP can better balance those two factors and determine the appropriate log period for operators.
iPARTS2: an improved tool for pairwise alignment of RNA tertiary structures, version 2
(2016-07-08)
Yang, Chung-Han
;
Shih, Cheng-Ting
;
Chen, Kun-Tze
;
Lee, Po-Han
;
Tsai, Ping-Han
Since its first release in 2010, iPARTS has become a valuable tool for globally or locally aligning two RNA 3D structures. It was implemented by a structural alphabet (SA)-based approach, which uses an SA of 23 letters to reduce RNA 3D structures into 1D sequences of SA letters and applies traditional sequence alignment to these SA-encoded sequences for determining their global or local similarity. In this version, we have re-implemented iPARTS into a new web server iPARTS2 by constructing a totally new SA, which consists of 92 elements with each carrying both information of base and backbone geometry for a representative nucleotide. This SA is significantly different from the one used in iPARTS, because the latter consists of only 23 elements with each carrying only the backbone geometry information of a representative nucleotide. Our experimental results have shown that iPARTS2 outperforms its previous version iPARTS and also achieves better accuracy than other popular tools, such as SARA, SETTER and RASS, in RNA alignment quality and function prediction. iPARTS2 takes as input two RNA 3D structures in the PDB format and outputs their global or local alignments with graphical display. iPARTS2 is now available online at http://genome.cs.nthu.edu.tw/iPARTS2/.