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Mobile Based Big Data for Smart City

Prof. Bingo Wing-Kuen Ling

School of Information Engineering,Guangdong University of Technology.

Postal address: No. 100, Waihuan Xi Road, Guangzgou Higher Education Mega Center, Guangzhou, Guangdong Province, China.

Email address: yongquanling@gdut.edu.cnTelephone number: 86 147 1548 7394

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OutlinevOur research groupvMobile based big data for smart cityvOptimization and signal processing for big datavConclusionvReferencesvQuestions and answers

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Our research GroupvOur university

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Our research GroupvOur university广东工业大学图书馆

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Our research GroupvResearch directions�Signal processing�Optimization�Nonlinear digital signal processing systems�Control theory�RFID for manufacturing systems�Wireless communications and coding�Biomedical consumer electronics�Multimedia consumer electronics

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Our research GroupvResearch platform�广东省教育厅海量大数据的智能信息处理与安全工程

技术研究中心(Intelligent Information Processing and Security of Big Data Engineering Technology Research Center, Guangdong Province Educational Department )�广东省科学技术厅智能制造业海量大数据工程技术研

究中心(Intelligent Manufacturing Big Data Engineering Technology Research Center, Guangdong Province Science and Technology Department)

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Mobile Based Big Data for Smart City

vWhat is big data?�Large volume data�Huge variety data�High velocity data�High value data

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Mobile Based Big Data for Smart City

vHow big data helps for smart city?�Government agenciesvPlanning�Transportation: roads, railways, etc.�Housing: public estates, subsidized houses, etc.�Education: primary schools, secondary schools, etc.�Medical: hospitals, public clinics, etc.�Commercial: banks, shopping malls, etc.

vBig data�Extracting information: population distribution�Analyzing information: age, sex, income, etc.

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Mobile Based Big Data for Smart City

vHow big data helps for smart city?�Business and industrial enterprisesvMarket analysisvMarket predictionvBusiness development: investment strategy, product

design, service planning, etc.

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Mobile Based Big Data for Smart City

vHow big data helps for smart city?�Residents and touristsvShopping center informationvRestaurant informationvEntertainment center informationvAttraction point informationvTravelling informationvHotel information

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Mobile Based Big Data for Smart City

vWhy we need mobile based big data?�MobilityvObtain information during conferences and travelling

�Services from mobile platformsvEnjoy advantages from other mobile applications

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Optimization and signal processing for Big Data

vWhy we need signal processing?�Data mining�Data storage�Data processing�Data security

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Optimization and signal processing for Big Data

vWhy we need optimization?�Efficient data processingvFast data mining

�Effective data processingvHigh accuracy searching results

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vBig data is useful for government agencies, business and industrial enterprises, residents and tourists, etc.

vMobile based big data provides mobility to users and enjoys advantages from mobile platforms.

vSignal processing techniques are useful for data mining, data storage, data processing and data security.

vOptimization techniques are useful for efficient and effective data processing.

Conclusion

v [1] Bin Gao, W. L. Woo and Bingo Wing-Kuen Ling, “Machine learning source separation using maximum a posteriori nonnegative matrix factorization,” IEEE Transactions on Cybernetics, vol. 44, no. 7, pp. 1169-1179, 2014.

v [2] Bingo Wing-Kuen Ling, Charlotte Yuk-Fan Ho, Kok-Lay Teo, Wan-Chi Siu, Jiangzhong Cao and Qingyun Dai, “Optimal design of cosine modulated nonuniform linear phase FIR filter bank via both stretching and shifting frequency response of single prototype filter,” IEEE Transactions on Signal Processing, vol. 62, no. 10, pp. 2517-2530, 2014.

v [3] Zhijing Yang, Bingo Wing-Kuen Ling and Chris Bingham, “Joint empirical mode decomposition and sparse binary programming for underlying trend extraction,” IEEE Transactions on Instrumentation and Measurement, vol. 62, no. 10, pp. 2673-2682, 2013.

v [4] Charlotte Yuk-Fan Ho, Bingo Wing-Kuen Ling, Lamia Benmesbah, Ted Chi-Wah Kok, Wan-Chi Siu and Kok-Lay Teo, “Two-channel linear phase FIR QMF bank minimax design via global nonconvex optimization programming,” IEEE Transactions on Signal Processing, vol. 58, no. 8, pp. 4436-4441, 2010.

v [5] Charlotte Yuk-Fan Ho, Bingo Wing-Kuen Ling and Herbert Ho-Ching Iu, “Invariant set of weight of perceptron trained by perceptron training algorithm,” IEEE Transactions on Systems, Man, and CyberneticsPart B: Cybernetics, vol. 40, no. 6, pp. 1521-1530, 2010.

v [6] Jing Su, Xiao-Zhi Zhang, J. Xiao, B. W. K. Ling, Qingyun Dai, K. F. Tsang and C. K. Wu, “Internet searching of plant encyclopedia via mobile based image retrieval system,” International Conference on Consumer Electronics, ICCE-China, 9-11 April, 2015. (Shenzhen).

References

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Questions and Answers

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Bingo