| 2018 IEEE International Conference on | ||||||
| Signal Processing, Communications and Computing (ICSPCC 2018) | ||||||
| September 14-16, 2018 | ||||||
| Wyndham Grand Hotel | ||||||
| 178 Silver Sand Beach Road, Huangdao District, Qingdao 266555, | ||||||
| Shandong, China | ||||||
| Friday, September 14, 2018 | ||||||
| 12:00-18:00 | Registration at Wyndham Grand Hotel | |||||
| 18:00-20:30 | Welcome Reception for all delegates | |||||
| Saturday, September 15, 2018 | ||||||
| 08:00-18:00 | Registration at Wyndham Grand Hotel, Qingdao | |||||
| 09:00-09:30 | Welcome and Opening Ceremony (HALL) | |||||
| 09:30-10:30 | Keynote Speech 1: Prof. Alfred Hero (HALL) | |||||
| 10:30-11:00 | Coffee/Tea | |||||
| 11:00-12:00 | Invited Speech 1: Prof. Jie Chen (HALL) | |||||
| 12:00-13:30 | Noon Break | |||||
| Room A1 | Room A2 | Room A3 | Room A4 | |||
| 13:30-15:30 | SPG01 | SPG03 | COM01 | UWC01 | ||
| 15:30-16:00 | Coffee/Tea | |||||
| 16:00-18:00 | SPG02 | SPG04 | COM02 | UWC02 | ||
| 18:30-20:30 | Conference Banquet (For regular delegates only) | |||||
| Sunday, September 16, 2018 | ||||||
| 08:00-17:00 | Registration at Wyndham Grand Hotel | |||||
| 09:30-10:30 | Keynote Speech 2: Prof. LUK Kwai Man (HALL) | |||||
| 10:30-11:00 | Coffee/Tea | |||||
| 11:00-12:00 | Invited Speech 2: Prof. Fengzhong Qu (HALL) | |||||
| 12:00-13:30 | Noon Break | |||||
| Room A1 | Room A2 | Room A3 | Room A4 | |||
| 13:30-15:30 |
Invited Talk 3 COM SS |
SPG05 | SPG07 | SPG09 | ||
| 15:30-16:00 | Coffee/Tea | |||||
| 16:00-18:00 | COM04 | SPG06 | SPG08 | CPT01 | ||
| SPG: Oral Presentation for Signal Processing track | ||||||
| COM: Oral Presentation for Communications track | ||||||
| CPT: Oral Presentation for Computing track | ||||||
| UWC:Oral Presentation forUnder Water Comms | ||||||
|
Keynote speech 1: The meta-learning problem in data
science: learning to predict intrinsic data quality
Speaker: Alfred O. Hero, III John H. Holland Distinguished University Professor of EECS; R. Jamison and Betty Williams Professor of
Engineering
|
Abstract:
One of the open problems
in data science is determining the quality of data for training a learning
algorithm, e.g., a classifier. This is a meta-learning problem: to learn
the intrinsic quality of data directly from a sample of the data. Meta-learning
is important since empirical performance prediction is crucial to optimizing the
data life cycle. Examples where meta-learning is applied include sequential
design of experiments, deep learning and sensor management in the fields of
statistics, machine learning and systems engineering, respectively. We will
review the meta-learning problem and highlight recent progress in the context of
theory and application.
About the Speaker
Alfred O. Hero III
received the B.S. (summa cum laude) from Boston
University (1980) and the Ph.D from Princeton
University (1984), both in Electrical Engineering. Since 1984
he has been with the University
of Michigan, Ann
Arbor, where he is the John H. Holland Distinguished
University Professor of Electrical Engineering and Computer Science and the R.
Jamison and Betty Williams Professor of Engineering. He is also the Co-Director
of the University’s Michigan Institute for Data Science (MIDAS) . His primary
appointment is in the Department of Electrical
Engineering and Computer Science and he also has appointments, by
courtesy, in the Department of Biomedical
Engineering and the Department of Statistics. From 2008 to 2013 he
held the Digiteo Chaire d’Excellence, sponsored by Digiteo Research Park in
Paris, located at the Ecole Superieure d’Electricite, Gif-sur-Yvette, France. He
has held other visiting positions at LIDS Massachusetts Institute of Technology
(2006), Boston University (2006), I3S University of Nice,
Sophia-Antipolis, France (2001), Ecole Normale Superieure de Lyon (1999), Ecole
Nationale Superieure des Telecommunications, Paris (1999), Lucent
Bell Laboratories (1999), Scientific Research Labs of the Ford Motor Company,
Dearborn, Michigan (1993), Ecole
Nationale Superieure des Techniques Avancees (ENSTA), Ecole Superieure d’Electricite, Paris (1990), and M.I.T.
Lincoln Laboratory (1987 – 1989).
Alfred Hero is a
Fellow of the Institute of Electrical and Electronics Engineers (IEEE). Alfred Hero was
awarded the University of Michigan Distinguished Faculty Achievement Award
(2011) and the Stephen S. Attwood Excellence in Engineering Award (2017). He has
been plenary and keynote speaker at several workshops and conferences. He has
received several best paper awards including: an IEEE Signal Processing Society
Best Paper Award (1998), a Best Original Paper Award from the Journal of Flow
Cytometry (2008), a Best Magazine Paper Award from the IEEE Signal Processing
Society (2010), a SPIE Best Student Paper Award (2011), an IEEE ICASSP Best
Student Paper Award (2011), an AISTATS Notable Paper Award (2013), and an IEEE
ICIP Best Paper Award (2013). He received an IEEE Signal Processing Society
Meritorious Service Award (1998), an IEEE Third Millenium Medal (2000), an IEEE
Signal Processing Society Distinguished Lecturership (2002), and an IEEE Signal
Processing Society Technical Achievement Award (2014). He was President of the
IEEE Signal Processing Society (2006-2007). He was a member of the IEEE TAB
Society Review Committee (2009), the IEEE Awards Committee (2010-2011), and
served on the Board of Directors of the IEEE (2009-2011) as Director of Division
IX (Signals and Applications). He served on the IEEE TAB Nominations and
Appointments Committee (2012-2014). Alfred Hero is currently a member of the Big
Data Special Interest Group (SIG) of the IEEE Signal Processing Society. Since
2011 he has been a member of the Committee on Applied and Theoretical Statistics
(CATS) of the US National Academies of Science. In 2015 he received the Society
Award, which is the highest career award bestowed by the IEEE Signal Processing
Society.
Alfred Hero’s recent
research interests are in high dimensional spatio-temporal data, multi-modal
data integration, statistical signal processing, and machine learning. Of
particular interest are applications to social networks, network security and
forensics, computer vision, and personalized health.
Invited talk 1 Title: Distributed learning and adaptation over multitask
networks
Speaker: Professor Jie Chen, Northwestern Polytechnical University (NPU)
Abstract:
About the speaker
Jie Chen is currently a Professor at the Northwestern Polytechnical
University (NPU) under the Thousand Talent Plan (Youth Program) of People’s
Republic of China. Concurrently, he is also the Vice Director of the Center of
Intelligent Acoustics and Immersive Communications in NPU. He received the
Ph.D. degree in 2013 from university of technology of Troyes, France. He worked
at University of Michigan, US and Observatory of Cote d'azur, France during 2013
to 2015. His research interests include adaptive signal processing and
distributed optimization with applications to hyperspectral image analysis,
acoustic signal processing, and bioinformatics. He is a Senior Member of IEEE,
and serves as Distinguished Lecturer of Asia-Pacific Signal and Information
Processing Association (2018-2019). He was Technical Co-Chair of IWAENC’16,
technical committeemember of IWAENC’18, EUSICPO’15, ’18, etc.
|
Keynote Speech 2: dipole antennas for millimetre-wave and terahertz
applications
Speaker: Prof. Luk Kwai Man, Department of Electronic Engineering and State Key Laboratory of Millimeter waves,
City University of Hong Kong,
Hall, 0930-1030, Sunday, 16
September |
Abstract
Wideband reflector-backed dipole antennas
are simple in configuration but their radiation patterns vary substantially over
their operating frequency ranges. Microstrip patch antennas are low in profile
but narrow in bandwidth. Although various methods are available to increase
their bandwidths, the radiation patterns and gains of wideband patch antennas
fluctuate undesirably over the operating frequencies. 10 years ago, a new class
of wideband antennas designated as the magneto-electric dipoles was proposed.
These antennas were designed based on the complementary antenna concept. The
basic structure consists of a planar electric dipole and a shorted quarter-wave
patch antenna, with an L-shaped probe feed. These novel antenna elements have
many attractive features, including wide impedance bandwidth, low cross
polarization, low back radiation, nearly identical radiations in the two
principal planes, stable radiation pattern, and constant antenna gain over the
operating frequency range. They can be designed with linear polarization,
circular polarization or dual polarization.
Magneto-electric dipoles have been
successfully developed for applications in lower microwave frequencies. The
structures, however, cannot be simply scaled up for applications in higher
microwave frequency bands which will be occupied by future 5G mobile systems.
In this talk, the latest development of
the substrate-integrated magneto-electric dipoles and arrays operated at the
millimeter-wave and terahertz bands will be presented, with emphasis on
different feeding methods for different applications.
About the speaker
Prof Luk is currently Chair Professor of
Electronic Engineering at the City University of Hong Kong. His recent research
interests include design of wideband patch antennas, dielectric resonator
antennas, microwave and antenna measurements, and millimeter wave technologies.
He is the author of 4 books, 12 research book chapters, over 360 journal papers
and 260 conference papers. He was awarded 9 US patents and over 10 PRC patents
on the designs of various printed antennas. He is a Fellow of IEEE, IET, CIE,
FEA and HKIE. He received the Japan Microwave Prize at the Asia Pacific
Microwave Conference in 1994, the Applied Research Excellence Award of City
University of Hong Kong in 2001, the Croucher Award of Hong Kong in 2003, the
Best Student Paper Awards (with his students) at the Asia Pacific Microwave
Conferences in 2005 and 2006, and the Best Paper Awards at the International
Symposium on Antennas and Propagation in 2008 and at the IEEE 4th
Asia Pacific Conference on Antennas and Propagation in 2015. He was awarded the
State Technological Invention Award of China (2nd Honor) in January 2012. He is
the recipient of the 2017 IEEE APS John Kraus Antenna Award. He was the chief
guest editor of a special issue on “Antennas in Wireless Communications” for
Proceedings of the IEEE, published in July 2012. He is a deputy editor-in-chief
of PIERS journals, an associate editor of IET Microwaves, Antennas and
Propagation, and a guest editor of Applied Science.
Invited Talk 2:
Speaker: Prof. Fengzhong Qu, Qingdao
Polytechnic University
Hall, 1100-1200, Sunday, 16 September
Abstract
Underwater acoustic wave known as the unique long-distance
communication medium is making its contribution in underwater communication,
navigation, and detection which are crucial to explore the marine environment,
finally satisfying the long-term need of military, scientific, and civilization
applications. This presentation will emphasize the methods that improve the
accuracy of channel estimate and solve some key problems of physical and MAC
layer for underwater acoustic communications. In terms of physical layer, sparse
Bayesian learning theory based spreading function estimation for dynamic
underwater acoustic channels will be presented. As for MAC layer, two protocols
have been implemented to improve the performance of underwater acoustic
communication networks (UWAN). 1) By utilizing the large propagation delay of
UWA channels, a data concurrent transmission MAC protocol improves the
throughput of UWAN. 2) A real-time adaptively collision avoidance mechanism that
globally schedules MAC protocol aims to achieve high throughput and low delay of
UWAN.
About the Speaker
Fengzhong Qu (S'07-M’10-SM’15) received his B.S. and M.S. degrees from Zhejiang
University, Hangzhou, China, in 2002 and 2005, respectively, both in Electrical
Engineering. He received his Ph.D. degree from the Department of Electrical and
Computer Engineering at the University of Florida, Gainesville, in 2009. From
2009 to 2010, he was an adjunct research scholar with the Department of
Electrical and Computer Engineering at the University of Florida. Since 2011, he
has been with the Ocean College at Zhejiang University, Zhoushan, China, where
he is presently a professor and chair of the Institute of Ocean Sensing and
Networking. He is an associate editor of IEEE transactions on Intelligent
Transportation systems, IET Communications and China Communications. His current
research interests include underwater acoustic communications and networking,
signal processing, and ocean technology.
|
Invited Speech 3: Design of Compact Filtennas with
Enhanced Bandwidth
|
About the Speaker
Ming-Chun Tang (S’12–M’13–SM’16) received
the B. S. degree in physics from the Neijiang Normal University, Neijiang,
China, in 2005 and the Ph. D. degree in radio physics from the University of
Electronic Science and Technology of China (UESTC), in 2013. From August 2011 to
August 2012, he was also with the Department of Electrical and Computer
Engineering, The University of Arizona, Tucson, AZ, USA, as a Visiting Scholar.
He is currently a Professor in the College of Communication Engineering,
Chongqing University, China. His research interests include electrically small
antennas, RF circuits, metamaterial designs and their applications.
Prof. Tang was a
recipient of the Best Student Paper Award in the 2010 International Symposium on
Signals, Systems and Electronics (ISSSE2010) held in Nanjing, China. He is the
founding Chair of the IEEE AP-S / MTT-S Joint Chongqing Chapter. He serves on
the Editorial Boards of several journals, including IEEE Access and IET Electronics Letters.
He has also served on the review boards
of many journals, including the IEEE Transactions on Antennas and
Propagation, IEEE Transactions on Microwave Theory and Techniques, IEEE Antennas
and Wireless Propagation Letters, IEEE Antennas and Propagation Magazine, IEEE
Microwave and Wireless Components Letters, and many international conferences as
a General Chair, TPC Member, Session Organizer, and the Session Chair.
Abstract:
Two
compact, wideband filtennas are simulated and measured. In order to enhance the
impedance bandwidth, the designs are introduced by organically combining a
monopole and a band-pass filter and then manipulating the mutual coupling
between them. This strategy is adopted by incorporating filtering structures
into the metamaterial inspired near-field resonant parasitic (NFRP) antennas.
Simulations revealed that the filtenna is stable for the radiation performance
characteristics while varying the component configurations, i.e., their relevant
positions and orientations. Two well-designed filtenna prototypes were
fabricated and tested. The measurement results are in good agreement with the
simulation values.
Oral Presentation
One of
the author shall present his paper in the conference
in according to the IEEE requirement, or the paper may not be published in IEEE
Explore Digital Library (and EI).
The
presentation is a sharing of experience and is not an examination. Delegates shall take it easy and have a
good practice is communicating his research result in the presentation, not
with any pressure at all.
Delegates should not worry the English presentation but should treat it
as an oral practice and learning process.
Oral
Presentation enable author to share their knowledge and experience with experts
and researchers. Authors should
relax, just summarize the key points of the Paper and give 10-15 minutes talk. Just like talking to your
colleagues will do.
The
allocated presentation time for each paper is 15 minutes which includes the
time for questions and answer from the audiences. In general, each PPT slide
presentation takes 30 seconds, so your PPT should not have more than 30 slides.
Presenters
are required to report to their Session Chairs at least 10 minutes prior to the
start of their Session. All oral presentations must be loaded from USB into the
note-book and tested before the session. PDF, Power Point are
recommended. Movies or animations in MPEG, Windows Media, and etc., should be
tested before the session.
| SPG01 Session | ||||
| Room A1, 13:30-15:30, Saturday, September 15, 2018 | ||||
| Session | Paper No. | Paper Title | ||
| SPG01-1 | 1051 |
Enhancing Human Cross-Linguistic Comprehension via Cognitive
Computation and Selective Attention |
||
| SPG01-2 | 1107 |
Reweighted lp-norm constraint least exponentiated square
algorithm for sparse system identification |
||
| SPG01-3 | 1121 |
Shrinkage Set-Membership Normalized LMS Algorithm with A
New Step Size Control for Noisy Input Data |
||
| SPG01-4 | 1231 |
Large-Scale Whale Call Classification Using Deep Convolutional
Neural Network Architectures |
||
| SPG01-5 | 1127 |
Spatial Filtering for Brain Computer Interfaces: A Comparison
between the Common Spatial Pattern and Its Variant |
||
| SPG01-6 | 1324 | Correlation Filter of Deep Features for Robust Face Recognition | ||
| SPG01-7 | 1392 |
Research on Two Dimensional Visualization of Heart Sound Signal
Based on Variant Model Theory |
||
| SPG01-8 | 1448 |
A Cardiac Sound Localization and Identification Method for
Electronic Stethoscope |
||
| SPG03 Session | ||||
| Room A2, 13:30-15:30, Saturday, September 15, 2018 | ||||
| Session | Paper No. | Paper Title | ||
| SPG03-1 | 1131 |
A Hierarchical FOD Detection Scheme Based on Clutter Map
CFAR and Pattern Classification |
||
| SPG03-2 | 1184 |
CFAR Detection of Range-Spread Target in White Gaussian
Noise Based on the Discrepancy of Distance of Successive HRRPs |
||
| SPG03-3 | 1189 | Active Sonar Deconvolution Matched Filtering Method | ||
| SPG03-4 | 1234 |
Detection of the moving targets of forward looking sonar based on
background elimination method |
||
| SPG03-5 | 1345 |
Detection Method of Eliminating False Alarm Caused by Noise
Based on Variable Damping Ratio |
||
| SPG03-6 | 1374 |
Diagnosis of Bolt Loosening Fault in Structures with a Novel
Second-Order Output Spectrum based Method |
||
| SPG03-7 | 1383 |
Radio Frequency Fingerprint Extraction Based on Singular Values
and Singular Vectors of Time-frequency Spectrum |
||
| Session | Paper No. | Paper Title | ||
| COM01 Session | ||||
| Room A3, 13:30-15:30, Saturday, September 15, 2018 | ||||
| COM01-1 | 1780 |
Multiport Non-Foster Loading Matching Technique for Wideband
Antenna with Stable Omnidirectional Pattern Using the Theory of Characteristic Modes |
||
| COM01-2 | 1782 | Study on Non-uniform Meta-surface for Antenna Design | ||
| COM01-3 | 1787 | A CPW-Fed Flexible Slot Antenna for Implantable Applications | ||
| COM01-4 | 1056 |
A Self-Interference Cancellation Method Based on Deep Learning
for Beyond 5G Full-Duplex System |
||
| COM01-5 | 1287 |
Security in Cognitive Radio Networks with an Untrusted Secondary User |
||
| COM01-6 | 1366 |
Low-Complexity Beam Selection for Hybrid Precoded Multi-User
mmWave Communications |
||
| COM01-7 | 1370 |
Reverse Signal-Aligned Network Coding in Interference Channels
with Limited Transmitter Cooperation |
||
| COM01-8 | 1387 |
System Analysis and Performance Evaluation for the Next
Generation mmWave WLAN: IEEE 802.11ay |
||
| UWC01 Session | ||||
| Room A4, 13:30-15:30, Saturday, September 15, 2018 | ||||
| Session | Paper No. | Paper Title | ||
| UWC01-1 | 1318 |
A Height Correction Algorithm Applied in Underwater Photometric
Stereo Reconstruction |
||
| UWC01-2 | 1306 |
Time-varying Nonlinear Discrete-time Systems Identification
Based on the Convex Combination of Two Multi-dimensional Taylor Networks |
||
| UWC01-3 | 1565 |
Modeling of High Background Noise in large area Ocean Based on Measured Data |
||
| UWC01-4 | 1136 |
A Combined Array Design Method Based on Normal Mode
Decomposition |
||
| UWC01-5 | 1061 |
A Novel Timing Synchronization Method Based on CAZAC
Sequence for OFDM Systems |
||
| UWC01-6 | 1140 |
A New Pulse Modulation Method for Underwater Acoustic
Communication Combined with Multiple Pulse Characteristics |
||
| UWC01-7 | 1158 |
A high precision long baseline positioning algorithm based on
the semi-definite programming |
||
| SPG02 Session | ||||
| Room A1, 16:00-18:00, Saturday, September 15, 2018 | ||||
| Session | Paper No. | Paper Title | ||
| SPG02-1 | 1550 |
Research on Feature Extraction of EEG Signals using MSE-PCA
and Sleep Staging |
||
| SPG02-2 | 1066 |
RECOGNITION OF WORKING CONDITION IN SUCKER-ROD P UMPING WELLS BASED ON MULTI-VIEW KERNEL LEARNING AND HESSIAN-REGULARIZED LOGISTIC REGRESSION |
||
| SPG02-3 | 1084 |
The Realization of Bartlett Null-forming Weight for Broadband
Signals in Time-domain |
||
| SPG02-4 | 1104 |
Underground Comprehensive Pipe Gallery Illegal Intrusion Wireless
Sensing System |
||
| SPG02-5 | 1110 |
Signal Enhancement Algorithm Based on Minimum Mean Square
Error Spectrum Estimation |
||
| SPG02-6 | 1111 |
A Real-time Detection Algorithm for Unmanned Aerial Vehicle
Target in Infrared Search System |
||
| SPG02-7 | 1117 | Target Detection in Colorful Imaging Sonar Based on HOG | ||
| SPG02-8 | 1118 |
Iterative maximum likelihood and zFlogz estimation of parameters
of compound-Gaussian clutter with inverse gamma texture |
||
| SPG04 Session | ||||
| Room A2, 16:00-18:00, Saturday, September 15, 2018 | ||||
| Session | Paper No. | Paper Title | ||
| SPG04-1 | 1492 | A new robust CKF for jammer tracking | ||
| SPG04-2 | 1494 |
Unknown Input Filtering of Linear Time-Varying Systems: A
Parameterized Unknown Input Model Approach |
||
| SPG04-3 | 1545 | Parameters Blind Estimation for Underwater Acoustic DSSS Signal | ||
| SPG04-4 | 1552 |
A convolution neural network for dolphin species identification using
echolocation clicks signal |
||
| SPG04-5 | 1646 |
PARAFAC-based Robust Localization for Bistatic MIMO Radar with
partially available measurements |
||
| SPG04-6 | 1649 |
Research on Carrier Frequency Estimation of Underwater Acoustic
Communication Signals |
||
| SPG04-7 | 1671 |
Combining Two Negatively Correlated Learning Signals in a
Committee Machine |
||
| COM02 Session | ||||
| Room A3, 16:00-18:00, Saturday, September 15, 2018 | ||||
| Session | Paper No. | Paper Title | ||
| COM02-1 | 1388 |
Spatial Clustering Group-Based OFDMA Multiple Access
Protocol with Carrier Sensing for the Next-generation WLANs |
||
| COM02-2 | 1422 | V-CNN: Data Visualizing based Convolutional Neural Network | ||
| COM02-3 | 1423 |
Attack Detection for Wireless Enterprise Network: a Machine
Learning Approach |
||
| COM02-4 | 1427 |
Multi-channel Multiple Access Protocol Based on Classified Time
Slots for Directional Ad Hoc Networks |
||
| COM02-5 | 1428 |
Design and Implementation of a Frequency Hopping Hybrid Multiple
Access Protocol on FPGA |
||
| COM02-6 | 1429 | Navigation Data Bit Decoding of Weak GNSS Signal | ||
| COM02-7 | 1485 |
UKF-based INS/single-satellite Navigation Dynamic Positioning
Algorithm |
||
| COM02-8 | 1605 |
A Novel Joint Code Acquisition and Doppler Frequency Estimation
Method for weak GNSS Signal |
||
| UWC02 Session | ||||
| Room A4, 16:00-18:0, Saturday, September 15, 2018 | ||||
| Session | Paper No. | Paper Title | ||
| UWC02-1 | 1194 |
PN Sequence based Underwater Acoustic Orthogonal
Signal-Division Multiplex Communication System |
||
| UWC02-2 | 1235 |
Direct Sequence Spread Spectrum Underwater Acoustic
Communication Based on Differential Correlation Detector |
||
| UWC02-3 | 1333 |
Emergency Communication Schemes for Muliti-hop Underwater
Acoustic Cooperartive Networks |
||
| UWC02-4 | 1339 |
Power Allocation for Underwater Source Nodes in UWA
Cooperative Networks |
||
| UWC02-5 | 1655 |
Doppler Scale Estimation for Underwater Acoustic Communications
Using Dual Zadoff-Chu Sequences |
||
| UWC02-6 | 1760 |
Underwater and under-ice experimental research of blind adaptive
virtual multiuser detection based on LMS |
||
| UWC02-7 | 1778 |
Experimental study of Acoustic Communication over Deep-sea
Vertical Channel |
||
| COMSS | Special Session on Antenna Communications | |||
| Room A1, 13:30-15:30, Sunday, September 16, 2018 | ||||
| Session | Paper No. | Paper Title | ||
| COMSS-1 | 1676 |
A Hybrid Method for Determining Complex Permittivity of Microwave
Dielectric Laminates |
||
| COMSS-2 | 1687 |
A Dual-Band Dual-Polarized Omnidirectional Antenna for
2G/3G/LTE Indoor System Applications |
||
| COMSS-3 | 1722 |
A Two-Point Modulation Voltage Controlled Oscillator: Design
and Implementation |
||
| COMSS-4 | 1732 |
A Phase Unwrapping Algorithm Based on Branch-Cut and B-Spline
Fitting in InSAR |
||
| COMSS-5 | 1764 | A Broadband Solar Antenna Element for Base Station | ||
| COMSS-6 | 1776 |
Monitoring of Mix-Proportions of Concrete By Using Microwave
Permittivity Measurement |
||
| COMSS-7 | 1779 | Design of Compact Filtennas with Enhanced Bandwidth | ||
| SPG05 Session | ||||
| Room A2, 13:30-15:30, Sunday, September 16, 2018 | ||||
| Session | Paper No. | Paper Title | ||
| SPG05-1 | 1691 | Magnetic Stripe Authentication System for Handheld Devices | ||
| SPG05-2 | 1304 |
A Three-dimensional Seabed Tracking Method Based on Joint
Judgment of Dual Domain Features |
||
| SPG05-3 | 1453 |
Prediction of search targets from fixations based on weighted
average map |
||
| SPG05-4 | 1590 |
Document Image Compression with Application to Digital
Preservation in Digital Libraries |
||
| SPG05-5 | 1692 |
A Method for Measuring Repeated Positioning Accuracy of Robot
Arm Based on Nonlinear Local Feature Matching |
||
| SPG05-6 | 1752 | Ship Targets Detection Based on Visual Attention | ||
| SPG05-7 | 1777 |
A Survey of Three-dimensional Reconstruction Methods for Tooth Models |
||
| SPG07 Session | ||||
| Room A3, 13:30-15:30, Sunday, September 16, 2018 | ||||
| Session | Paper No. | Paper Title | ||
| SPG07-1 | 1040 |
Jamming Style Selection for Small Sample Radar Jamming Rule
Base |
||
| SPG07-2 | 1137 |
Reinforcement Learning based Anti-jamming Frequency Hopping
Strategies Design for Cognitive Radar |
||
| SPG07-3 | 1142 | The Time Reversal Method with a short array | ||
| SPG07-4 | 1143 |
The focusing performance of the target with the horizontal
time-reversal array |
||
| SPG07-5 | 1195 |
A High-precision Underwater Acoustic Communication Signal
Modeling Method Based on VirTEX Algorithm |
||
| SPG07-6 | 1221 |
Spatial Gain Analysis for Vertical Linear Array in the Direct-Arrival
Zone |
||
| SPG07-7 | 1230 |
Optimization of the Generalized Sinusoidal Frequency Modulated
pulse trains for Continuous Active Sonar |
||
| SPG09 Session | ||||
| Room A4, 13:30-15:30, Sunday, September 16, 2018 | ||||
| Session | Paper No. | Paper Title | ||
| SPG09-1 | 1503 |
Robust Adaptive Beamforming Based on Non-convex Quadratic
Optimization with Semidefinite Relaxation |
||
| SPG09-2 | 1633 |
2-D DOA Estimation for L-Shaped Array with Automatic
Pair-Matching and Source Demerging |
||
| SPG09-3 | 1759 |
Ultra-Short Baseline Positioning System and Error Analysis
based on Multi-Element Stereo Array |
||
| SPG09-4 | 1588 |
Joint Design of Transmit Waveforms and Receive Filters Under
Accuracy and Similarity Constraints |
||
| SPG09-5 | 1141 |
Command-Filtered Adaptive Recursive Sliding Control for Switched
Nonlinear Systems |
||
| SPG09-6 | 1513 |
Filter Design Based on A Novel Non-iterative Least Square Method
with Adjustable Parameter |
||
| SPG09-7 | 1684 |
A Novel Single Satellite Passive Location Method Based on
One-Dimensional Cosine Angle and Doppler Rate of Changing |
||
| COM04 Session | ||||
| Room A1, 16:00-18:00, Sunday, September 16, 2018 | ||||
| Session | Paper No. | Paper Title | ||
| COM04-1 | 1654 | Simplified Early Stopping Criterion for Polar codes | ||
| COM04-2 | 1185 |
Research on the application range and accuracy for series formula
in the numerical calculation of SLF signal field strength |
||
| COM04-3 | 1332 |
An Accurate AoA Estimation Approach for Indoor Localization Using
commodity Wi-Fi Devices |
||
| COM04-4 | 1435 |
GNSS Receiver Autonomous Integrity Monitoring Algorithm Based
on Robust Strong Tracking Filtering |
||
| COM04-5 | 1450 |
Object-based Indoor Localization using Region-based Convolutional
Neural Networks |
||
| COM04-6 | 1498 |
Research on LTE Signal Positoning Algorithm under Multipath
Environment |
||
| COM04-7 | 1630 |
Airborne LiDAR/INS integrated navigation based on adaptive
switching between ICP and SLPF |
||
| SPG06 Session | ||||
| Room A2, 16:00-18:00, Sunday, September 16, 2018 | ||||
| Session | Paper No. | Paper Title | ||
| SPG06-1 | 1048 | The decomposition algorithm of Hankel tensors | ||
| SPG06-2 | 1430 |
Application of improved wavelet packet energy entropy and
GA-SVM in rolling bearing fault diagnosis |
||
| SPG06-3 | 1449 |
Incremental Frequent Sub-trajectory Mining Based on Dual
Division |
||
| SPG06-4 | 1454 |
Task Scheduling Methods of Marine Normal Observation Based
on DE Algorithm |
||
| SPG06-5 | 1153 |
Video scene classification with complex background algorithm
based on improved CNNs |
||
| SPG06-6 | 1400 |
Content-based Video Copy Detection using Binary Object
Fingerprints |
||
| SPG06-7 | 1522 |
The impact of bitrate and GOP pattern on the video quality of
H.265/HEVC compression standard |
||
| SPG08 Session | ||||
| Room A3, 16:00-18:00, Sunday, September 16, 2018 | ||||
| Session | Paper No. | Paper Title | ||
| SPG08-1 | 1326 |
High-frequency Active Sonar Real-time Signal Processing System
Based on FPGA |
||
| SPG08-2 | 1373 |
Passive target classification based on the sound field coherence
characteristic |
||
| SPG08-3 | 1470 |
Frequency Diverse MIMO Radar Sparse Imaging Using Annihilating
Filter |
||
| SPG08-4 | 1593 | The Impact Analysis of Range Ambiguity | ||
| SPG08-5 | 1629 |
Velocity Side Lobe Suppression Method for Frequency-Agile
Coherent Radar |
||
| SPG08-6 | 1656 |
Spinning Target Imaging Algorithms for Microwave Staring
Correlated Imaging |
||
| SPG08-7 | 1186 | Robust matched field processing via second order cone optimization | ||
| CPT01 Session | ||||
| Room A4, 16:00-18:00, Sunday, September 16, 2018 | ||||
| Session | Paper No. | Paper Title | ||
| CPT01-1 | 1088 |
DDoS Attack Detection Algorithm Based on Hybrid Traffic
Prediction Model |
||
| CPT01-2 | 1108 | Energy Group based Random Access Method | ||
| CPT01-3 | 1474 |
Design and Implementation of Lightweight 6LoWPAN Gateway
Based on Contiki |
||
| CPT01-4 | 1200 | A high step-up Boost Converter with Multiplier Voltage Cells | ||
| CPT01-5 | 1539 |
Numerical Simulation and Experiment Research on Non-cavitation
noise of Underwater Counter-rotation Propellers |
||
