关键词：
Age progression regression;Generative adversarial networks;Image-to-image translation
摘要：
Face age progression/regression is enjoying renewed interest due to the remarkable improvements in image synthesis achieved by the deep generative models (e.g. the Generative Adversarial Networks (GANs)) and its tremendous impact on a wide-range of practical applications like finding back missing individuals with photos of childhood, entertainment, etc. Most existing approaches are focusing on face age progression and have proven to be successful and effective in learning the transformation between age groups with the aid of paired samples, i.e., face images of the same person at different ages. Although some signs of aging are synthesized by these approaches, they heavily rely on the availability of paired samples which are difficult and costly to collect. Inspired by the significant success achieved by using GANs in unsupervised image transduction, in this paper, we formulate this task as an unsupervised multi-domain image-to-image translation problem, and devise a novel generative framework using only a single generative adversarial network, dubbed FaceGAN which is capable of synthesizing photo-realistic face images with aging effects without paired samples and achieves face age progression and regression in a holistic framework. Experimental results show the superiority of our proposed method in terms of visual fidelity. We further empirically demonstrate the broad application capability of our approach on a facial attribute transfer and a facial expression synthesis tasks. (C) 2019 Elsevier B.V. All rights reserved.
期刊：
International Journal of Production Economics,2018年197(Mar.):52-62 ISSN：0925-5273
通讯作者：
Chen, Pengyu
作者机构：
[Xu, He; Lu, Fen] Huazhong Univ Sci & Technol, Sch Management, Wuhan, Hubei, Peoples R China.;[Chen, Pengyu] Cent China Normal Univ, Sch Informat Management, Wuhan, Hubei, Peoples R China.;[Zhu, Stuart X.] Univ Groningen, Fac Econ & Business, Dept Operat, Nettelbosje 2, NL-9747 AE Groningen, Netherlands.
通讯机构：
[Chen, Pengyu] C;Cent China Normal Univ, Sch Informat Management, Wuhan, Hubei, Peoples R China.
关键词：
Yield uncertainty;Downconversion;Pricing
摘要：
We consider a firm who supplies two types of products: high-end and low-end. Because of the uncertainty in the production process, the yield rate of the high-end products is uncertain. The substandard high-end products caused by the yield uncertainty can be transformed into the low-end products with a certain cost. We characterize the optimal pricing and production decisions and develop an algorithm to compute the optimal solution. We also investigate the impact of the yield uncertainty on the firm's performance, and explore how stability of market demand, emergent fulfillment costs, and downconversion cost influence this effect. We find that (i) the profit of the firm deteriorates when the risk of the yield uncertainty is high. In the face of yield uncertainty, the firm prefers to decrease (increase) the production quantity of the high-end (low-end) products; (ii) when the market demands are quite unstable, the emergent fulfillment costs are low, or the downconversion cost is high, the firm has a low incentive to eliminate the yield uncertainty.
期刊：
Journal of Computers (Taiwan),2018年29(3):188-196 ISSN：1991-1599
通讯作者：
Li, Yu-Hai(yhli@mail.ccnu.edu.cn)
作者机构：
[Li, Yu-Hai; Hu, Yan-Hong] Department of Information Management, Central China Normal University, Wuhan, China;[Xie, Wen-Qi] School of Computer Science, Yangtze University, Jingzhou, China;[Hu, Yan-Hong] College of Vocational and Continuing Education, Central China Normal University, Wuhan, China
通讯机构：
Department of Information Management, Central China Normal University, Wuhan, China
作者：
Ayala, Brenda Reyes*;Knudson, Ryan;Chen, Jiangping;Cao, Gaohui;Wang, Xinyue
期刊：
JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY,2018年69(1):47-59 ISSN：2330-1635
通讯作者：
Ayala, Brenda Reyes
作者机构：
[Knudson, Ryan; Chen, Jiangping; Ayala, Brenda Reyes] Univ North Texas, Dept Informat Sci, 1155 Union Circle 311068, Denton, TX 76203 USA.;[Cao, Gaohui] Cent China Normal Univ, Sch Informat Management, 152 Luoyu Rd, Wuhan 430079, Hubei, Peoples R China.;[Wang, Xinyue] Univ North Texas, Intelligent Informat Access Lab, 1155 Union Circle 311068, Denton, TX 76203 USA.
通讯机构：
[Ayala, Brenda Reyes] U;Univ North Texas, Dept Informat Sci, 1155 Union Circle 311068, Denton, TX 76203 USA.
摘要：
One way to facilitate Multilingual Information Access (MLIA) for digital libraries is to generate multilingual metadata records by applying Machine Translation (MT) techniques. Current online MT services are available and affordable, but are not always effective for creating multilingual metadata records. In this study, we implemented 3 different MT strategies and evaluated their performance when translating English metadata records to Chinese and Spanish. These strategies included combining MT results from 3 online MT systems (Google, Bing, and Yahoo!) with and without additional linguistic resources, such as manually-generated parallel corpora, and metadata records in the two target languages obtained from international partners. The open-source statistical MT platform Moses was applied to design and implement the three translation strategies. Human evaluation of the MT results using adequacy and fluency demonstrated that two of the strategies produced higher quality translations than individual online MT systems for both languages. Especially, adding small, manually-generated parallel corpora of metadata records significantly improved translation performance. Our study suggested an effective and efficient MT approach for providing multilingual services for digital collections.
期刊：
Physica Status Solidi (C) Current Topics in Solid State Physics,2017年14(3-4):1600110- ISSN：1862-6351
通讯作者：
Huang, Xintang(xthuang@phy.ccnu.edu.cn)
作者机构：
[Wang, Yin] Institute of Nanoscience and Nanotechnology, Central China Normal University, Wuhan, 430079 P.R. China;Corresponding author: e-mail;[Chen, Jinghua] School of Information Management, Central China Normal University, Wuhan, 430079 P.R. China;[Huang, Xintang] Institute of Nanoscience and Nanotechnology, Central China Normal University, Wuhan, 430079 P.R. China<&wdkj&>Corresponding author: e-mail
通讯机构：
[Xintang Huang] I;Institute of Nanoscience and Nanotechnology, Central China Normal University, Wuhan, 430079 P.R. China<&wdkj&>Corresponding author: e-mail
期刊：
International Journal of Information Management,2017年37(2):43-53 ISSN：0268-4012
通讯作者：
Zhao, Jing
作者机构：
[Li, Yanhui; Chi, Maomao; Zhai, Shanshan] Cent China Normal Univ, Sch Informat Management, Wuhan, Peoples R China.;[Zhao, Jing] China Univ Geosci, Sch Econ & Management, Res Ctr Digital Business Management, Wuhan, Peoples R China.;[George, Joey F.] Iowa State Univ, Coll Business, Ames, IA USA.
通讯机构：
[Zhao, Jing] C;China Univ Geosci, Sch Econ & Management, Res Ctr Digital Business Management, Wuhan, Peoples R China.
关键词：
Balancing;Complementing;Inter-firm IT governance;IT ambidexterity;Relational performance
会议名称：
6th International Conference on Health Information Science (HIS)
会议时间：
OCT 07-09, 2017
会议地点：
Moscow Inst Phys & Technol, Moscow, RUSSIA
会议主办单位：
Moscow Inst Phys & Technol
会议论文集名称：
Lecture Notes in Computer Science
关键词：
Personal Health Record;Multidimensional modelling;Ontology;HL7;openEHR
摘要：
Personal Health Records (PHRs) have characteristics of continuous high speed growth and rich value, which are the prerequisite and foundation for implementing services of intelligent health care, personalized medicine, remote treatment, disease prevention and prediction, and the strong support for the hospital, health care institutions, insurance companies and other organizations to maintain personal health. PHR contents have multidimensional features such as time, region, population and role orientation, which have different semantic meaning and application value. As the fundamental element of semantic web technology architecture, ontology provides an expressive framework for reusing, sharing, representing and reasoning knowledge, and has been widely applied in modelling biological, medicine and health care fields. This paper analyzes the multidimensional features of PHRs, and investigates an approach for modelling PHRs based on current existing health record standards by using ontology modelling methods and theoretical frameworks.
摘要：
It is very significant for us to predict future energy consumption accurately. As for China’s energy consumption annual time series, the sample size is relatively small. This paper combines the traditional auto-regressive model with group method of data handling (GMDH) suitable for small sample prediction, and proposes a novel GMDH based auto-regressive (GAR) model. This model can finish the modeling process in self-organized manner, including finding the optimal complexity model, determining the optimal auto-regressive order and estimating model parameters. Further, four different external criteria are proposed and the corresponding four GAR models are constructed. The authors conduct empirical analysis on three energy consumption time series, including the total energy consumption, the total petroleum consumption and the total gas consumption. The results show that AS-GAR model has the best forecasting performance among the four GAR models, and it outperforms ARIMA model, BP neural network model, support vector regression model and GM (1, 1) model. Finally, the authors give the out of sample prediction of China’s energy consumption from 2014 to 2020 by AS-GAR model.
期刊：
Industrial Management & Data Systems,2017年117(10):2364-2380 ISSN：0263-5577
通讯作者：
Zhao, Jing
作者机构：
[Wang, Fei; Li, Yajing; Zhao, Jing] China Univ Geosci, Res Ctr Digital Business Management, Sch Econ Management, Wuhan, Hubei, Peoples R China.;[Chi, Maomao] Cent China Normal Univ, Sch Informat Management, Wuhan, Hubei, Peoples R China.
通讯机构：
[Zhao, Jing] C;China Univ Geosci, Res Ctr Digital Business Management, Sch Econ Management, Wuhan, Hubei, Peoples R China.
摘要：
Real-time stream processing is essential for many real-life stream-based applications. Systems designed to run such applications must be prepared to operate under overloaded conditions. In this paper, the load shedding problem is studied for an important class of real-time data stream monitoring applications. In particular, we adopt the deadline model, instead of the commonly used random dropping policy, to capture the QoS requirements of such applications. Based on this model, we propose a Safe lOad Shedding Approach (SOSA) that aims to reduce the workload imposed on the system while at the same time preserve system timing constraints by exploiting data stream semantics. SOSA categorizes stream processing into two different modes and allows one to place provably lighter loads on streams that operate in one particular mode. To demonstrate the usefulness of SOSA, we introduce a concrete scheduling algorithm called SOSA-DBP by combining SOSA with DBP, a well-known scheduling algorithm. Probabilistic analysis and experimental results show that SOSA-DBP has significant performance gain over DBP.
作者机构：
[李赛; 李延晖; 董庆兴] School of Information Management, Central China Normal University, Wuhan, 430079, China;[张大斌] School of Mathematics and Information, South China Agricultural University, Guangzhou, 510642, China
通讯机构：
School of Information Management, Central China Normal University, Wuhan, China
