Conferences related to User Analysis

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ICC 2021 - IEEE International Conference on Communications

IEEE ICC is one of the two flagship IEEE conferences in the field of communications; Montreal is to host this conference in 2021. Each annual IEEE ICC conference typically attracts approximately 1,500-2,000 attendees, and will present over 1,000 research works over its duration. As well as being an opportunity to share pioneering research ideas and developments, the conference is also an excellent networking and publicity event, giving the opportunity for businesses and clients to link together, and presenting the scope for companies to publicize themselves and their products among the leaders of communications industries from all over the world.


GLOBECOM 2020 - 2020 IEEE Global Communications Conference

IEEE Global Communications Conference (GLOBECOM) is one of the IEEE Communications Society’s two flagship conferences dedicated to driving innovation in nearly every aspect of communications. Each year, more than 2,900 scientific researchers and their management submit proposals for program sessions to be held at the annual conference. After extensive peer review, the best of the proposals are selected for the conference program, which includes technical papers, tutorials, workshops and industry sessions designed specifically to advance technologies, systems and infrastructure that are continuing to reshape the world and provide all users with access to an unprecedented spectrum of high-speed, seamless and cost-effective global telecommunications services.


ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

The ICASSP meeting is the world's largest and most comprehensive technical conference focused on signal processing and its applications. The conference will feature world-class speakers, tutorials, exhibits, and over 50 lecture and poster sessions.


IEEE INFOCOM 2020 - IEEE Conference on Computer Communications

IEEE INFOCOM solicits research papers describing significant and innovative researchcontributions to the field of computer and data communication networks. We invite submissionson a wide range of research topics, spanning both theoretical and systems research.


IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium

All fields of satellite, airborne and ground remote sensing.


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Periodicals related to User Analysis

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Aerospace and Electronic Systems Magazine, IEEE

The IEEE Aerospace and Electronic Systems Magazine publishes articles concerned with the various aspects of systems for space, air, ocean, or ground environments.


Antennas and Propagation, IEEE Transactions on

Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Circuits and Systems for Video Technology, IEEE Transactions on

Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...


Communications Letters, IEEE

Covers topics in the scope of IEEE Transactions on Communications but in the form of very brief publication (maximum of 6column lengths, including all diagrams and tables.)


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Xplore Articles related to User Analysis

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A study on “5W1H” user analysis on interaction design of interface

2010 IEEE 11th International Conference on Computer-Aided Industrial Design & Conceptual Design 1, 2010

The availability of digital products is intended to satisfy people's requirements of using digital communication technology to change life style. And users, products and the using environment is a closely related whole system. Designer's task is to cope with every element so that each element of interface can do good service to product design. To judge a good and user- ...


Implementing user-oriented interfaces: From user analysis to framework's components

2011 International Conference on Uncertainty Reasoning and Knowledge Engineering, 2011

Usability can be attended from early phases by incorporating task and user analysis with framework's components. This fact benefits also the development of mobile applications, obtaining more usable systems tailored to the needs of a specific user with unique characteristics.


A language model for compromised user analysis

NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium, 2018

Identifying compromised accounts on online social networks that are used for phishing attacks or sending spam messages is still one of the most challenging problems of cyber security. In this paper, we explore a language model that is based on artificial neural networks to differentiate the writing styles of different users on short text messages. In doing so, our aim ...


Worst-Case User Analysis in Poisson Voronoi Cells

IEEE Communications Letters, 2013

In this letter, we focus on the performance of a worst-case mobile user (MU) in the downlink cellular network. We derive the coverage probability and the spectral efficiency of the worst-case MU using stochastic geometry. Through analytical and numerical results, we draw out interesting insights that the coverage probability and the spectral efficiency of the worst-case MU decrease down to ...


User Analysis Based on Fuzzy Clustering

2009 International Conference on Business Intelligence and Financial Engineering, 2009

In order to solve the problem of user-classification to reflect the features of Web users inflexible, a novel user classification model was presented in this paper. By introducing the concept of time discretization and applying fuzzy equivalence relation clustering to classify Web users, the model can rationally solve the user classification problems. Empirical results showed that the output of user ...


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Educational Resources on User Analysis

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IEEE.tv Videos

Behavioral Signal Processing: Enabling human-centered behavioral informatics
Requirements, Models, and Properties: Their Relationship and Validation
IMS 2011 Microapps - Yield Analysis During EM Simulation
IMS 2011 Microapps - A Practical Approach to Verifying RFICs with Fast Mismatch Analysis
IMS MicroApps: Multi-Rate Harmonic Balance Analysis
IMS 2012 Microapps - Improve Microwave Circuit Design Flow Through Passive Model Yield and Sensitivity Analysis
New Approach of Vehicle Electrification: Analysis of Performance and Implementation Issue
A Flexible Testbed for 5G Waveform Generation and Analysis: MicroApps 2015 - Keysight Technologies
Spectrum Analysis: RF Boot Camp
Surgical Robotics: Analysis and Control Architecture for Semiautonomous Robotic Surgery
IMS 2012 Microapps - Generation and Analysis Techniques for Cost-efficient SATCOM Measurements Richard Overdorf, Agilent
Similarity and Fuzzy Logic in Cluster Analysis
IMS 2011 Microapps - Remcom's XFdtd and Wireless InSite: Advanced Tools for Advanced Communication Systems Analysis
IMS 2011 Microapps - STAN Tool: A New Method for Linear and Nonlinear Stability Analysis of Microwave Circuits
Introducing IEEE vTools Events
IMS 2011 Microapps - Tools for Creating FET and MMIC Thermal Profiles
Zohara Cohen AMA EMBS Individualized Health
Augmented Reality in Operating Rooms
Intel Joule 570x Developer Kit with Expansion Board: Mouser's Engineering Bench Talk
Bram van Ginnekin - COVID-19, Deep Learning and Biomedical Imaging Panel

IEEE-USA E-Books

  • A study on “5W1H” user analysis on interaction design of interface

    The availability of digital products is intended to satisfy people's requirements of using digital communication technology to change life style. And users, products and the using environment is a closely related whole system. Designer's task is to cope with every element so that each element of interface can do good service to product design. To judge a good and user- oriented interface design, the following can be used as reference: the effectiveness, efficiency and satisfaction of the interface to users in the process of using. In other words, that is whether the interface product is easy to learn or not, whether it attracts users or not and user's feeling in using the product. The purpose of this thesis intend to discuss how to use 5W1H to achieve user analysis in interaction design of interface, so as to develop interface that users want. Meanwhile, to help designers be clear of users' idea can be reflected on the final interface demand and satisfy users' requirement, finally, to improve user's satisfaction.

  • Implementing user-oriented interfaces: From user analysis to framework's components

    Usability can be attended from early phases by incorporating task and user analysis with framework's components. This fact benefits also the development of mobile applications, obtaining more usable systems tailored to the needs of a specific user with unique characteristics.

  • A language model for compromised user analysis

    Identifying compromised accounts on online social networks that are used for phishing attacks or sending spam messages is still one of the most challenging problems of cyber security. In this paper, we explore a language model that is based on artificial neural networks to differentiate the writing styles of different users on short text messages. In doing so, our aim is to be able to identify compromised user accounts. Our results indicate that we can learn the language model on one dataset and can generalize it to different datasets with approximately 85% accuracy without any modifications to the language model.

  • Worst-Case User Analysis in Poisson Voronoi Cells

    In this letter, we focus on the performance of a worst-case mobile user (MU) in the downlink cellular network. We derive the coverage probability and the spectral efficiency of the worst-case MU using stochastic geometry. Through analytical and numerical results, we draw out interesting insights that the coverage probability and the spectral efficiency of the worst-case MU decrease down to 23% and 19% of those of a typical MU, respectively. By applying a coordinated scheduling (CS) scheme, we also investigate how much the performance of the worst-case MU is improved.

  • User Analysis Based on Fuzzy Clustering

    In order to solve the problem of user-classification to reflect the features of Web users inflexible, a novel user classification model was presented in this paper. By introducing the concept of time discretization and applying fuzzy equivalence relation clustering to classify Web users, the model can rationally solve the user classification problems. Empirical results showed that the output of user classification was not unique and the parameter delta should be adjusted based on applications. Compared to those hard clustering, this model is proved to be more effective to classify web users.

  • Topical Influential User Analysis with Relationship Strength Estimation in Twitter

    Topical Influential User Analysis (TIUA) is an important technique in Twitter. Existing techniques neglected relationship strength between users, which is a crucial aspect for TIUA. For modeling relationship strength, interaction frequency between users has not been considered in previous works. In this paper, we firstly introduce a poisson regression-based latent variable model to estimate relationship strength by utilizing interaction frequency. We then propose a novel TIUA framework which uses not only retweeting relationship but also relationship strength. Experimental results show that the proposed TIUA algorithm can greatly improve the precision and relevance on finding topical influential users in Twitter.

  • Slotted Aloha for cognitive radio users and its tagged user analysis

    Cognitive radio (CR) is a promising dynamic spectrum access technique to improve the utilization of the licensed spectrum. In this paper, we investigate the medium access control (MAC) protocol for CR networks and propose a cognitive MAC using slotted Aloha to enable CR users to access spectrum holes in a licensed frequency band. In order to avoid the high computational complexities of traditional Markovian analysis, we investigate the tagged user analysis (TUA) based on queuing theories in CR scenarios and use TUA to analyze the proposed cognitive MAC performance. The theoretical derivations based on TUA are presented and computer simulations are performed to evaluate the CR network performance as well as TUA accuracy. The network throughput, packet blocking probability, queue length, packet waiting time and response time are evaluated.

  • A Long Interval Method to Identify Regular Monthly Mobile Internet Users

    The Internet access from mobile handsets is extending its coverage. It increases the importance to analyze mobile Internet use in research communities and industries. To cope with the increased demands on mobile Internet user analysis, the author describes a regularity-oriented service model. In order to capture user regularity, the author performs an exploratory clickstream analysis to identify users with high loyalty. Based on the author's previous experience on the relationship between middle-range visit intervals and revisit ratio in the next month, the author tries to identify hour-scale intervals linked to the high-loyalty-users. The author obtains the result that the users with intervals with 480 minutes and 720 minutes show the high revisit ratio. The author analyzes key time zones for high- loyalty users. This method is applicable to a wide range of applications with clickstream logs. Using the long-interval characteristics, the author discusses a double peak model of sub-day-scale activity behaviors in the case study.

  • Data Acquisition, Hot Issues and System of Microblog Mining

    As an important social information interchange platform, microblogging has accumulated a large amount of immediacy, rich semantics, and various forms of user generated content (UGC). How to efficiently and accurately discover useful knowledge from the UGC is what microblog mining focuses on. This article introduce two methods for acquiring microblog data: microblogging open application program interface (API) and web crawler. The hot issues are classified into two categories: microblog user analysis (e.g., user classification and user's behavior analysis) and microblog content analysis (e.g., text preprocessing, hot topic discovering and sentiment analysis); finally, we propose our self-developed microblog mining system: Reading-Weibo, which provides real-time, interaction, dynamic and multidimensional service.

  • An Approximate Analysis of Buffered S-ALOHA in Fading Channels Using Tagged User Analysis

    Tagged user analysis (TUA) is a generic approximate method of analyzing random access protocols for finite-user finite-buffer systems. This technique decouples the channel contention behavior from the user queuing behavior and allows the use of classical queuing theory results to be directly applicable to the analysis of finite-user finite-buffer random access methods. In this paper, we extend TUA to analyze finite buffer S-ALOHA operating over flat fading radio channels and derive expressions for system performance indices like throughput, average packet delay, blocking probability and queue length. It is shown that for a moderate number of active users, the simulation and analytical results fit closely



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