Conferences related to Embedded Intelligence

Back to Top

2023 Annual International Conference of the IEEE Engineering in Medicine & Biology Conference (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted full papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions,will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.


2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC)

IEEE CCNC 2020 will present the latest developments and technical solutions in the areas of home networking, consumer networking, enabling technologies (such as middleware) and novel applications and services. The conference will include a peer-reviewed program of technical sessions, special sessions, business application sessions, tutorials, and demonstration sessions.


2020 IEEE 18th International Conference on Industrial Informatics (INDIN)

INDIN focuses on recent developments, deployments, technology trends, and research results in Industrial Informatics-related fields from both industry and academia


2020 IEEE Frontiers in Education Conference (FIE)

The Frontiers in Education (FIE) Conference is a major international conference focusing on educational innovations and research in engineering and computing education. FIE 2019 continues a long tradition of disseminating results in engineering and computing education. It is an ideal forum for sharing ideas, learning about developments and interacting with colleagues inthese fields.


2020 IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.


More Conferences

Periodicals related to Embedded Intelligence

Back to Top

Applied Superconductivity, IEEE Transactions on

Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission


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 II: Express Briefs, IEEE Transactions on

Part I will now contain regular papers focusing on all matters related to fundamental theory, applications, analog and digital signal processing. Part II will report on the latest significant results across all of these topic areas.


Communications Magazine, IEEE

IEEE Communications Magazine was the number three most-cited journal in telecommunications and the number eighteen cited journal in electrical and electronics engineering in 2004, according to the annual Journal Citation Report (2004 edition) published by the Institute for Scientific Information. Read more at http://www.ieee.org/products/citations.html. This magazine covers all areas of communications such as lightwave telecommunications, high-speed data communications, personal communications ...


Computational Biology and Bioinformatics, IEEE/ACM Transactions on

Specific topics of interest include, but are not limited to, sequence analysis, comparison and alignment methods; motif, gene and signal recognition; molecular evolution; phylogenetics and phylogenomics; determination or prediction of the structure of RNA and Protein in two and three dimensions; DNA twisting and folding; gene expression and gene regulatory networks; deduction of metabolic pathways; micro-array design and analysis; proteomics; ...


More Periodicals

Most published Xplore authors for Embedded Intelligence

Back to Top

Xplore Articles related to Embedded Intelligence

Back to Top

Framework for Embedded Intelligence-integrating IoT, WoT and W2T

2017 2nd International Conference on Computing and Communications Technologies (ICCCT), 2017

The current research trend is about intelligent devices. There is a need to interconnect these intelligent embedded devices using the Internet and hence IoT devices have become more essential. Web of Things and Wisdom Web of Things are two technologies in their growing stages. This paper is a study on integration of IoT devices with WoT and W2T. An architecture ...


The need for embedded intelligence in ATE

IEEE Autotestcon, 2005., 2005

As military and commercial electronic components and systems become increasingly complex, more sophisticated testing is required to validate performance and diagnose failures. Trends show that while electronic part costs have declined significantly over the past few decades, the cost of testing electronic components has remained nearly constant. As a result, the cost of test encompasses a good percentage of the ...


MagIC: a Textile System for Vital Signs Monitoring. Advancement in Design and Embedded Intelligence for Daily Life Applications

2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2007

We recently developed a textile-based system for the unobtrusive assessment of vital signs. The system, named MagIC, was originally designed to collect data in elderly people and cardiac patients while living in a confined environment. Extending the area of application of MagIC from clinics to daily life meant to pay particular attention to the garment design and to the amount ...


Living with Internet of Things: The Emergence of Embedded Intelligence

2011 International Conference on Internet of Things and 4th International Conference on Cyber, Physical and Social Computing, 2011

With the development of sensing, wireless communication, and Internet technologies, we are now living in a world that is filled with various smart things the Internet of Things. This paper introduces and prospects an emerging research area Embedded Intelligence (EI), which aims at revealing the individual behaviors, spatial contexts, as well as social patterns and urban dynamics by mining the ...


Development of a real-time data quality monitoring system using embedded intelligence

OCEANS '02 MTS/IEEE, 2002

Rule-based reasoning and case-based reasoning have emerged as two important and complimentary reasoning methodologies in the field of artificial intelligence (AI). This paper describes the development of a real-time data quality monitoring system (CORMS AI) using case-based and rule-based reasoning. CORMS AI was developed to augment an existing decision support system (CORMS Classic) for monitoring the quality of environmental data ...


More Xplore Articles

Educational Resources on Embedded Intelligence

Back to Top

IEEE.tv Videos

Q&A with Marilyn Wolf: IEEE Rebooting Computing Podcast, Episode 13
LPIRC: A Facebook Approach to Benchmarking ML Workload
Howard Shrobe: Runtime Security Monitor for Real-time Critical System Embedded Applications: WF IoT 2016
APEC Speaker Highlights: Robert White, Chief Engineer, Embedded Power
APEC 2015: 3D Packaging
A 28nm, 475mW, 0.4-to-1.7GHz Embedded Transceiver Front-End Enabling High-Speed Data Streaming Within Home Cable Networks: RFIC Industry Showcase
Fog Computing Test Bed: Cutting Costs and Latency in Data Transmission - Fog World Congress
Computing in the Cambrian Era - ICRC 2018 Plenary, Paolo Faraboschi
An Introduction to Computational Intelligence in Multi-Criteria Decision-Making: The Intersection of Search, Preference Tradeoff
KeyTalk with Conor Quinn: Empowering the Electronics Industry - A Power Technology Roadmap - APEC 2017
Computational Intelligence for Brain Computer Interface
Using Computational Intelligence to automate Craniofacial Superimposition for Skeleton-based Human Identification
Applications of Computational Intelligence in Biomedicine
Walter J Freeman and Robert Kozma - Physical Basis of Intelligence
Interaction and Experience in Enactive Intelligence and Humanoid Robotics
Achieving Swarm Intelligence with Spiking Neural Oscillators - IEEE Rebooting Computing 2017
Media & Women in Technology Panel - Lynnette Reese & Jennifer Elias - WIE ILC 2018
Advanced Capacitive Sensing for Consumer, Industrial, and Automotive Applications - Lecture by Dr. Hans Klein
Fog Computing on the Horizon - Fog World Congress
ICASSP 2011 Trends in Design and Implementation of Signal Processing Systems

IEEE-USA E-Books

  • Framework for Embedded Intelligence-integrating IoT, WoT and W2T

    The current research trend is about intelligent devices. There is a need to interconnect these intelligent embedded devices using the Internet and hence IoT devices have become more essential. Web of Things and Wisdom Web of Things are two technologies in their growing stages. This paper is a study on integration of IoT devices with WoT and W2T. An architecture has been designed to implement the interaction between the intelligent Iot devices via WoT and W2T.

  • The need for embedded intelligence in ATE

    As military and commercial electronic components and systems become increasingly complex, more sophisticated testing is required to validate performance and diagnose failures. Trends show that while electronic part costs have declined significantly over the past few decades, the cost of testing electronic components has remained nearly constant. As a result, the cost of test encompasses a good percentage of the total cost of any electronic device. Decreasing test and troubleshooting complexity and time are important aspects of reducing the initial and maintenance costs of electronic systems. This paper presents a method to reduce the cost of test by applying embedded processing intelligence within instrumentation used for automatic test equipment (ATE). The advantages of embedded intelligence include reduced data transfer requirements, sophisticated signal processing and transformation, pass/fail characterization, and the application of standardized test methodologies. This paper describes this type of standardized testing using examples of telecom mask testing and video signal capture and analysis

  • MagIC: a Textile System for Vital Signs Monitoring. Advancement in Design and Embedded Intelligence for Daily Life Applications

    We recently developed a textile-based system for the unobtrusive assessment of vital signs. The system, named MagIC, was originally designed to collect data in elderly people and cardiac patients while living in a confined environment. Extending the area of application of MagIC from clinics to daily life meant to pay particular attention to the garment design and to the amount of intelligence embedded into the system. In this paper we addressed both these issues by illustrating 1) a new methodology we are developing to help the design of smart garments for daily life applications and 2) an example of embedded intelligence developed for an application of MagIC in ergonomics.

  • Living with Internet of Things: The Emergence of Embedded Intelligence

    With the development of sensing, wireless communication, and Internet technologies, we are now living in a world that is filled with various smart things the Internet of Things. This paper introduces and prospects an emerging research area Embedded Intelligence (EI), which aims at revealing the individual behaviors, spatial contexts, as well as social patterns and urban dynamics by mining the digital traces left by people while interacting with Internet of Smart Things. The paper discusses the research history, characteristics, general architecture, major applications, and research issues of EI.

  • Development of a real-time data quality monitoring system using embedded intelligence

    Rule-based reasoning and case-based reasoning have emerged as two important and complimentary reasoning methodologies in the field of artificial intelligence (AI). This paper describes the development of a real-time data quality monitoring system (CORMS AI) using case-based and rule-based reasoning. CORMS AI was developed to augment an existing decision support system (CORMS Classic) for monitoring the quality of environmental data and information and their respective computer based systems for use in NOAA Ocean Service's oceanographic operational products.

  • Diagnostic technologies for embedded intelligence in high voltage power equipment

    In the future power grid, equipment will need to work with distributed generation, deregulation, and accelerating ageing factors. For smart operation without degrading the reliability of the system, there is a need to make a turn with diagnostics towards condition monitoring systems, which assess the actual performance of individual equipment. However, the emerging technologies for sensors specifically for high voltage equipment performance, interpretation tools and aging models needed for such smart grids are still in a premature stage. A few emerging monitor systems have achieved robustness to some extent. In this paper, the expectations and experiences for power equipment monitoring will be discussed. In addition a model-based framework to optimize usage of power equipment is proposed using a predictive health model.

  • Embedded intelligence in smart cities through multi-core smart building architectures: Research achievements and challenges

    Economic growth in Europe has been, strongly associated with urbanization, overwhelming cities with vehicles. This renders mobility inside cities problematic, since it is often associated with large waste of time in traffie congestions, environmental pollution and accidents. Cities struggle to invent and deploy “smart” solutions in the domain of urban mobility, so as to offer innovative services to citizens and visitors and improve the overall quality of life. In this context, the paper discusses on the fundamental challenges that cities face when trying to become smarter, focusing on the particular area of smart buildings and the management of multi-core, smart building architectures and presents some key research achievements and relevant research challenges.

  • Wireless sensor networks with embedded intelligence for agricultural applications

    In the following generations of sensor networks, we are going to need to do more than collect data over a wired network. It is going to be necessary to continue the trend toward a sense and control infrastructure, wherein intelligent decision can be made about environmental factors on the fly. Through the use of low cost motes, we are able to deploy networks with larger numbers of sensors that are able to communicate with lower power, and increased reliability. Because of these properties, this style of system lends itself well to agricultural applications, where large numbers of sensors are required to provide the necessary granularity of control.

  • Neural core module for embedded intelligence

    A multiplication unit is proposed that allows for an efficient computation of products of 32-, 16- and 8-bit fixed point numbers. In the latter two modes of operation, two resp. four multiplications are executed in parallel. The proposed unit implements multiplication according to the DIGILOG principle and is designed to operate on a 100 Mhz clock in a 0.8 mm CMOS technology. The design of the unit is motivated by the potential benefits to be gained from a digital platform that integrates the emulation and training of neural networks with pre-processing of the signals that they process. Efficient realization of the multiplication operation is a major requirement of such a device.

  • “Are You Playing a Shooter Again?!” Deep Representation Learning for Audio-based Video Game Genre Recognition

    In this paper, we present a novel computer audition task; audio-based video game genre classification. The aim of this study is threefold: 1) to check the feasibility of the proposed task, 2) to introduce a new corpus: the Game Genre by Audio + Multimodal Extracts (G$^{2}$AME), collected entirely from social multimedia, and 3) to compare the efficacy of various acoustic feature spaces to classify the G$^{2}$AME corpus into 6 game genres using a linear support vector machine classifier. For the classification we extract three different feature representations from the game audio files: i) knowledge-based acoustic features, ii) DEEP SPECTRUM features, and iii) quantised DEEP SPECTRUM features using Bag-of-Audio-Words. The DEEP SPECTRUM features are a deep- learning based representation derived from forwarding the visual representations of the audio instances, in particular spectrograms, mel- spectrograms, chromagrams, and their deltas through deep task-independent pre- trained CNNs. Specifically, activations of fully connected layers from three common image classification CNNs, GoogLeNet, AlexNet, and VGG16 are used as feature vectors. Results for the 6-genre classification problem indicate the suitability of our deep learning approach for this task. Our best method achieves an accuracy of up to 66.9% unweighted average recall using 10-fold cross-validation.



Standards related to Embedded Intelligence

Back to Top

No standards are currently tagged "Embedded Intelligence"


Jobs related to Embedded Intelligence

Back to Top