Department of Electrical and Computer Engineering Publications Book 1. H. Zhang, S. Khairy, L. X. Cai, and Z. Han, “Resource Allocation in Unlicensed Long Term Evolution HetNets," contracting with Springer Science + Business Media, LLC. Book Chapter 2. H. Zhang and Z. Han, “Distributed Resource Allocation for Network Virtualization,” Book chapter in Handbook of Cognitive Radio, Springer. Journal & Magazine 3. 4. 5. 6. 7. 8. 9. H. Zhang, Y. Zhang, Y. Gu, D. Niyato, and Z. Han, “A Hierarchical Game Framework for Resource Management in Fog Computing,” in IEEE Communication Magazine, vol. 55, no. 8, Aug. 2017. H. Zhang, Y. Xiao, S. Bu, D. Niyato, R. Yu, and Z. Han, “Computing Resource Allocation in Three-Tier IoT Fog Networks: a Joint Optimization Approach Combining Stackelberg Game and Matching,” in IEEE Internet of Things Journal, vol. 4, no. 5, pp. 1204-1215, Oct. 2017. H. Zhang, Y. Xiao, L. X. Cai, D. Niyato, L. Song, and Z. Han, "A Multi-Leader Multi-Follower Stackelberg Game for Resource Management in LTE Unlicensed," in IEEE Transactions on Wireless Communications, vol. 16, no. 1, pp. 348-361, Jan. 2017. H. Zhang, D. Niyato, L. Song, T. Jiang, and Z. Han, “Zero-determinant Strategy for Resource Sharing in Wireless Cooperation,” IEEE Transactions on Wireless Communications, vol. 15, no. 3, pp. 21792192, Mar. 2016. H. Zhang, W. Ding, F. Yang, J. Song, and Z. Han, "Resource Allocation in Heterogeneous Network with Visible Light Communication and D2D: A Hierarchical Game Approach," submitted to Transactions on Communication. H. Zhang, B. Di, Z. Chang, X. Liu, L. Song, and Z. Han, "Equilibrium Problems with Equilibrium Constraints Analysis for Power Control and User Scheduling in NOMA Networks," submitted to Transactions on Wireless Communication. Z. Chang, L. Lei, H. Zhang, T. Ristaniemi, S. Chatzinotas, B. Ottersten, Z. Han, "Secure and Energy-Efficient Resource Allocation for Multiple-Antenna NOMA with Wireless Power Transfer," to be submitted to Transactions on Green Communications and Networking. Conference 10. H. Zhang, X. Tang, R. A. Banez, P. Ren, L. Song, and Z. Han, "An EPEC Analysis for Power Allocation in LTE-V Networks,"accepted for IEEE GLOBECOM 2017. 11. N. Raveendran, H. Zhang, Z. Zheng, L. Song, Z. Han, "Large-Scale Fog Computing Optimization using Equilibrium Problem with Equilibrium Constraints"accepted for IEEE GLOBECOM 2017. 12. X. Chen, H. Zhang, and Z. Han, "Delay-Tolerant Resource Scheduling in Large-Scale Virtualized Radio Access Networks," IEEE International Conference on Communications (ICC), Paris, France, May 2017. 13. H. Zhang, W. Ding, J. Song, and Z. Han, "A Hierarchical Game Approach for Visible Light Communication and Multi-Hop D2D Heterogeneous Network", 2016 IEEE Global Communications Conference (GLOBECOM), Washington, DC, Dec. 2016. 14. H. Zhang, X. Chen, and Z. Han, "A Zero-Determinant Approach for Power Control of Multiple Wireless Operators in LTE Unlicensed", 2016 IEEE Global Communications Conference (GLOBECOM), Washington, DC, Dec. 2016, 15. H. Zhang, Y. Xiao, S. Bu, D. Niyato, R. Yu, and Z. Han, “Fog Computing in Multi-Tier Data Center Networks: A Hierarchical Game Approach,” IEEE International Conference on Communications (ICC), Kuala Lumpur, Malaysia, May 2016. 16. H. Zhang, Y. Xiao, L. X. Cai, L. Song, N. Dusit, and Z. Han, "A Hierarchical Game Approach for Multi-Operator Spectrum Sharing in LTE Unlicensed," IEEE Global Communications Conference, San Diego, CA, Dec. 2015. 17. H. Zhang, D. Niyato, L. Song, T. Jiang, and Z. Han, "Equilibrium Analysis for Zero-Determinant Strategy in Resource Management of Wireless Network," IEEE Wireless Communications and Networking Conference, New Orleans, LA, Mar. 2015. 18. H. Zhang, D. Niyato, L. Song, T. Jiang, and Z. Han, "Zero-Determinant Strategy in Cheating Management of Wireless Cooperation," IEEE Global Communications Conference, Austin, TX, Dec. 2014. 19. H. Zhang, M. Bennis, Luiz A. DaSilva, and Z. Han, "Multi-leader Multi-follower Stackelberg Game among Wi-Fi, Small Cell and Macrocell Networks," IEEE Global Communications Conference, Austin, TX, Dec. 2014. 20. H. Zhang, F. Li, N. Dusit, L. Song, T. Jiang, and Z. Han, "Zero-determinant Strategy in Power Control of Small Cell Network", invited, IEEE International Conference on Communication Systems (ICCS), Macau, China, Nov. 2014. 51
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National Publicity for iCons •• C C& & EE News News (July (July 4, 4, 2011) 2011) •• Featuring Featuring iCons iCons Program Program Launch Launch •• Assoc Assoc of of American American Colleges Colleges & & Universities Universities (Feb (Feb 5, 5, 2014) 2014) •• Featuring Featuring iCons iCons Program Program Structure Structure & & Pedagogy Pedagogy •• Boston Boston Business Business Journal Journal (May (May 14, 14, 2014) 2014) •• Featuring Featuring Collaboration Collaboration with with Waters Waters • • C C& & EE News News (May (May 26, 26, 2014) 2014) Corp. Corp. •• Featuring Featuring Benefits Benefits for for Pharma Pharma www.cns.umass.edu/icons-program
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RUBRIC: Student Performance will be evaluated based on the following criteria: Assessment Rubric Volume Precision Expression 5 – Mastery of dynamic volume – crescendos build as song culminates. 5 – Virtuoso performance, marked 5 – Total emotional commitment by high degree of accuracy throughout – conveys the song (Staccato of rapid clapping) through expressions, energy, body language and affect. 4 – Uses changes in volume to appropriately mark transitions, crescendo to end. 3 - Marks transitions in song by change of volume, with some inaccuracies 2 - Some evidence of volume change, though not controlled/appropriate to song 1 – No control of volume – same throughout or inappropriate volume 4 – All elements of song recognized and competently performed 3 – Most elements of the song present, with some inaccuracies 2 – Some elements of song recognized, with periods of indistinguishable clapping 1 – Indistinguishable Clapping – song not recognized 4 – Enthusiastically performs the song through clapping and some body language/affect 3 – Enthusiastic clapping, though not necessarily connected to message of song 2 – Some evidence of emotional connection with song – inconsistent throughout song. 1 – Performed with no emotion – shy or embarrassed affect observed
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Blueprint analogy iPod blueprint/factory state: current song volume battery life behavior: power on/off change station/song change volume choose random song create s iPod #1 state: song = "1,000,000 Miles" volume = 17 battery life = 2.5 hrs behavior: power on/off change station/song change volume choose random iPod #2 iPod #3 state: song = "Letting You" volume = 9 battery life = 3.41 hrs state: song = "Discipline" volume = 24 battery life = 1.8 hrs behavior: power on/off change station/song change volume choose random song behavior: power on/off change station/song change volume choose random song 38
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Publications and Contact Info • Conditional Models of Identity Uncertainty with Application to Noun Coreference. Andrew McCallum and Ben Wellner. Neural Information Processing Systems (NIPS), 2004. • An Integrated, Conditional Model of Information Extraction and Coreference with Application to Citation Matching. Ben Wellner, Andrew McCallum, Fuchun Peng, Michael Hay. Conference on Uncertainty in Artificial Intelligence (UAI), 2004. • Collective Segmentation and Labeling of Distant Entities in Information Extraction. Charles Sutton and Andrew McCallum. ICML workshop on Statistical Relational Learning, 2004. • Extracting Social Networks and Contact Information from Email and the Web. Aron Culotta, Ron Bekkerman and Andrew McCallum. Conference on Email and Spam (CEAS) 2004. • Dynamic Conditional Random Fields: Factorized Probabilistic Models for Labeling and Segmenting Sequence Data . Charles Sutton, Khashayar Rohanimanesh and Andrew McCallum. ICML 2004. • Interactive Information Extraction with Constrained Conditional Random Fields. Trausti Kristjannson, Aron Culotta, Paul Viola and Andrew McCallum. AAAI 2004. (Winner of Honorable Mention Award.) • Accurate Information Extraction from Research Papers using Conditional Random Fields. Fuchun Peng and Andrew McCallum. HLT-NAACL, 2004. • Chinese Segmentation and New Word Detection using Conditional Random Fields. Fuchun Peng, Fangfang Feng, and Andrew McCallum. International Conference on Computational Linguistics (COLING 2004), 2004. • Confidence Estimation for Information Extraction. Aron Culotta and Andrew McCallum. (HLT-NAACL), 2004, http://www.cs.umass.edu/~mccallum
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Review of Radars at Supersite HUMIDITY DUAL WAVELENGTH MM-WAVELENGTH •SPolKa (NCAR) S & •ARM mm radar Doppler Air motions •ARM Ka band Ka band •SMART-R C-band •SpolKa Ka band •SPolKa •ARM X & Ka •NOAA S-band? CM-WAVELENGTH Precipitation •SMART-R C-band •SPolKa S-band •ARM/AMIE X-band •NOAA S-band? •NOAA Distrometer? MM-WAVELENGTH Polarimetric Microphysics •SPolKa •ARM X band •ARM mm radar •ARM Ka band •SPolKa Ka band
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Universal Turing Machines (cont.)  A Universal Turing Machine (UTM) is capable of simulating an arbitrary Turing Machine M on an arbitrary input word w.  One possible UTM is a two-tape TM that may be described as:    The UTM simulates M by locating on the program tape the appropriate transition given the current state of M and the symbol on the work tape being scanned by its head When the transition is located, the UTM carries out the operation on the work tape There is a standard UTM equivalent to this two-tape UTM w    work tape Control Unit (M)    program tape
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Motivation - Scenario 5 Has: RingTone-A, C Wants: Song-B Has: RingTone-A Length= 10sec Type= monophonic Style=dance D1 RingTone-C Length= 5sec Type= polyphonic Style=dance Wants: Song• • • • • • • • • • D1 * Performer= singer-A D2 D2 Has: Has: Song-A Wants: RingTone-B Song-A Title=title-A Performer= singer-A Style=pop Wants: RingTone- * Type= polyphonic Length > 8sec D1 is interested in acquiring Song-B which is not available in the environment. D2 is searching for RingTone-B which is also unavailable. D1 and D2 could keep looking for a perfect match or could look for similar services. D1 identifies that the most important feature of the song was a performer, Singer-A. D2 determines that is interested in polyphonic ring tones that are longer then 8 sec. D1 discovers that D2 has a Song-A performed by Singer-A. D1 composes a proposal to exchange RingTone-A or RingTone-C for the Song-A. D2 determines that nether RingTone-A or RingTone-C match all of the attributes D2 decides to farther relax its requirements and ignore the length of the ring. D2 accepts the proposal from D1. D1 and D2 exchange Song-A and RingTone-C. 62 / 54
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