Life in “IT-Based” Showcase Residential Area in Beijing

＂I am a migrant worker and I am a resident here,＂ reads a message on the BBS （bulletin board system） of the Jingtie Jiayuan area in Beijing. ＂I have learned that Jingtie Jiayuan Residents＇ Committee distributes free contraceptives. Am I able to have them （for free）？ If I am, what shall I do to get free contraceptives？＂

Development and Prospect of IT-based Taxation in China

China’s IT-based taxation started in the early 1980 s.Since the 1990 s,Chinese tax authorities have launched and promoted the Golden Tax Project Phase I,Phase II,and Phase III in succession.IT-based taxation has embarked on a new journey since then.In the new era,the State Taxation Administration(STA)of China has,in adherence to the requirements of taxation modernization for building a stable and powerful information system,followed the trend of IT revolution,seized opportunities,and braved challenges.Committed to revitalizing taxation through science and technology,STA managed to build a system cluster with the Golden Tax Project Phase III as the core across the board,featuring functions of VAT invoice management system and Electronic Tax Bureau.STA has vigorously promoted the action plan of"Internet+Taxation",consistently improved the application of tax-related big data,and provided strong IT support for better exerting the fundamental,backbone and supportive role of taxation in state governance.

A General Framework of Reversible Data Hiding with Controlled Contrast Enhancement

This paper proposes a two-step general framework for reversible data hiding(RDH)schemes with controllable contrast enhancement.The first step aims at preserving visual perception as much as possible on the basis of achieving high embedding capacity(EC),while the second step is used for increasing image contrast.In the second step,some peak-pairs are utilized so that the histogram of pixel values is modified to perform histogram equalization(HE),which would lead to the image contrast enhancement.However,for HE,the utilization of some peak-pairs easily leads to over-enhanced image contrast when a large number of bits are embedded.Therefore,in our proposed framework,contrast over-enhancement is avoided by controlling the degree of contrast enhancement.Since the second step can only provide a small amount of data due to controlled contrast enhancement,the first one helps to achieve a large amount of data without degrading visual quality.Any RDH method which can achieve high EC while preserve good visual quality,can be selected for the first step.In fact,Gao et al.’s method is a special case of our proposed framework.In addition,two simple and commonly-used RDH methods are also introduced to further demonstrate the generalization of our framework.