"5G new radio (NR) sidelink (SL) is envisioned as a key enabler of high speed, low latency applications like automated driving. To meet the high data rate requirements for such applications, SL support at mmWave and sub-THz frequencies with large bandwidths will be essential. Several enhancements and optimizations will be...
"In a free space optics (FSO) based drone assisted mobile network, a drone mounted base station (DBS) can be rapidly deployed over a place of interest to relay traffic between mobile users and a macro base station (MBS), and FSO is applied as the fronthaul solution between the DBS and...
Video services traffic over the internet has drastically grown these past years, currently representing more than 80% of the internet bandwidth [1]. The massive usage of unicast delivery leads to network congestion that can result in poor quality of experience for the viewer, high delivery cost for operators and increased...
We report a new neural backdoor attack, named Hibernated Backdoor, which is stealthy, aggressive and devastating. The backdoor is planted in a hibernated mode to avoid being detected. Once deployed and fine-tuned on end devices, the hibernated backdoor turns into the active state that can be exploited by the attacker....
"The increased mobile connectivity, the range and number of services available in various computing environments in the network, demand mobile applications to be highly dynamic to be able to efficiently incorporate those services into applications, along with other local capabilities on mobile devices. However, the monolithic structure and mostly static...
The future of manufacturing industry highly depends on digital systems that convert existing production and monitoring systems to autonomous systems with stringent requirements in terms of availability, reliability, security, low latency, positioning with high-accuracy and so on. In order to provide such requirements, a private 5G network deployment is considered...
We propose XRC, an explicit rate control algorithm that overcomes the poor performance of commonly used TCP variants in cellular networks. XRC exploits an explicit feedback from the radio access network that is aware of the physical, network and transport layer information of all UEs as well as resource distribution...
RESEARCH PAPER / Jan 2022
/
Immersive / AR/VR/MR,
Light Field,
Volumetric Imaging,
Machine learning/ Deep learning /Artificial Intelligence
Recently, learning methods have been designed to create Multiplane Images (MPIs) for view synthesis. While MPIs are extremely powerful and facilitate high quality renderings, a great amount of memory is required, making them impractical for many applications. In this paper, we propose a learning method that optimizes the available memory...
Waveguide based optical combiners for Augmented Reality (AR) glasses are integrating several Surface Relief Gratings (SRG) whose pitch sizes can be as small as 200 nm for the blue wavelength. All SRG components exploit the first diffraction order to couple in and out or to deviate the light. We present...
RESEARCH PAPER / Dec 2021
/
Computer Vision,
Machine learning/ Deep learning /Artificial Intelligence
This paper describes the MediaEval 2021 Predicting Media Memorability task. After first being proposed at MediaEval 2018, the Predicting Media Memorability task is in its 4th edition this year, as the prediction of short-term and long-term video memorability remains a challenging task. This year, two datasets of videos are used:...
Techniques which leverage channel state information (CSI) at a transmitter to adapt wireless signals to changing propagation conditions have been shown to improve the reliability of modern multiple input multiple output (MIMO) communication systems. Due to the difficulty of estimating downlink CSI at the transmitter in many wireless systems, CSI...
In this work, we propose a novel deep learning-based framework for the adaptive configuration of DMRS used for MIMO CCE. Specifically, a neural network architecture is proposed at the terminal side which based on statistical learning indicates to the network the preferred configuration of DMRS in time, frequency, and code...
RESEARCH PAPER / Oct 2021
/
Computer Graphics,
Machine learning/ Deep learning /Artificial Intelligence
Human character animation is often critical in entertainment content production, including video games, virtual reality or fiction films. To this end, deep neural networks drive most recent advances through deep learning (DL) and deep reinforcement learning (DRL). In this article, we propose a comprehensive survey on the state-of-the-art approaches based...
RESEARCH PAPER / Oct 2021
/
Audio processing,
Neural network,
Machine learning/ Deep learning /Artificial Intelligence
Music source separation is the task of isolating individual instruments which are mixed in a musical piece. This task is particularly challenging, and even state-of-the-art models can hardly generalize to unseen test data. Nevertheless, prior knowledge about individual sources can be used to better adapt a generic source separation model...
The backdoor attack raises a serious security concern to deep neural networks, by fooling a model to misclassify certain inputs designed by an attacker. In particular, the trigger-free backdoor attack is a great challenge to be detected and mitigated. It targets one or a few specific samples, called target samples,...
RESEARCH PAPER / Oct 2021
/
Computer Vision,
Neural network,
Machine learning/ Deep learning /Artificial Intelligence
High quality facial attribute editing in videos is a challenging problem as it requires the modifications to be realistic and consistent throughout the video frames. Previous works address the problem with auto-encoder architectures and rely on adversarial training to ensure the attribute editing and the temporal consistency of the results....
Next generation Terabit per second (Tbps) wireless communication systems aim for sub-THz and THz bands where noise and hardware impairments are known to be dominantly non-linear and lack accurate closed form analytical models. The physical layer (PHY) blocks designed under linearity and Gaussian noise assumptions will fall short of satisfying...
RESEARCH PAPER / Sep 2021
/
Video coding,
Compression,
Machine learning/ Deep learning /Artificial Intelligence Neural network
Despite many modern applications of Deep Neural Networks (DNNs), the large number of parameters in the hidden layers makes them unattractive for deployment on devices with storage capacity constraints. In this paper we propose a Data-Driven Low-rank (DDLR) method to reduce the number of parameters of pretrained DNNs and expedite...
RESEARCH PAPER / Sep 2021
/
Video coding,
Machine learning/ Deep learning /Artificial Intelligence,
Image processing,
Computer Graphics
Recently, learning methods have been designed to create Multiplane Images (MPIs) for view synthesis. While MPIs are extremely powerful and facilitate high quality renderings, a great amount of memory is required, making them impractical for many applications. In this paper, we propose a learning method that optimizes the available memory...
RESEARCH PAPER / Sep 2021
/
Optics,
Machine learning/ Deep learning /Artificial Intelligence,
Image processing
In recent years, we have seen the development of integrated plenoptic sensors, where multiple pixels are placed under one microlens. It is mainly used by cameras and smartphones to drive the autofocus of the main lens, and it often takes the form of dual-pixels with 2 rectangular sub-pixels. We study...
RESEARCH PAPER / Aug 2021
/
Neural network,
Machine learning/ Deep learning /Artificial Intelligence,
Computer Vision
Deep neural networks (DNNs) have recently achieved great success in many machine learning tasks including computer vision and speech recognition. However, existing DNN models are computationally expensive and memory demanding, hindering their deployment in devices with low memory and computational resources or in applications with strict latency requirements. In addition,...
Reconfigurable intelligent surfaces (RIS) have the ability to steer the electromagnetic waves to a desired direction. This enables the improvement of the wireless link performance by allowing the illumination of receivers otherwise shadowed by buildings or hills. In this paper, a link level simulations are used to study the performance...
RESEARCH PAPER / Aug 2021
/
Video coding,
Compression,
Machine learning/ Deep learning /Artificial Intelligence
Deep bi-prediction blending. This paper presents a learning-based method to improve bi-prediction in video coding. In conventional video coding solutions, block-based motion compensation blocks from already decoded reference pictures stand out as the main tool used to predict the current frame. Especially, bi-predicted blocks, i.e. blocks that combine two different...
This article proposes multiple multi-domain solutions to deploy private SG networks for vertical industries. Different models of deploying SG private networks are presented, covering deployment on local premises as well as their interconnection with public networks of mobile network operators. Building on a set of industry verticals (comprising Industry 4.0,...
RESEARCH PAPER / Jul 2021
/
5G,
Wireless communication,
Machine learning/ Deep learning /Artificial Intelligence
Building upon on a digital transformation, Industry 4.0 (I4.0) aims to build the factories of the future, which feature additional flexibility, increasingly connected infrastructures and automated processes. 5G is playing a paramount role in this transformation, as it can offer high bandwidth, reliable and low latency wireless connectivity to meet...
Intelligent radio surface (IRS) is a programmable structure that can be used to control the propagation of electromagnetic waves by changing the electric and magnetic properties of the surface. By placing these surfaces in an environment, the properties of radio channels can be, at least partially, controlled. This opens new...
Joint communication and sensing allows the utilization of common spectral resources for communication and localization, reducing the cost of deployment. By using 5G New Radio (NR) (i.e., the 3rd Generation Partnership Project (3GPP) Radio Access Network for fifth generation) reference signals, conventionally used for communication, sub-meter precision localization is possible...
New Radio (NR) supports operations at high frequency bands (e.g., millimeter wave frequencies) by using narrow beam based directional transmissions in order to compensate high propagation losses at such frequencies. Due to the limited spatial coverage with each beam, the broadcast transmission of paging in NR is performed using beam...
In this paper, we propose a novel approach for real-time radar-based human activities detection and classification. In this approach, first, the radar transceiver is mounted on the room’s ceiling leading to considerable variations of the relative received power as the subject perform the different activities. Second, to exploit the different...
RESEARCH PAPER / Dec 2020
/
["Volumetric Imaging",
"Machine learning/ Deep learning /Artificial Intelligence"]
We present a novel learning-based approach to synthesize new views of a light field image. In particular, given the four corner views of a light field, the presented method estimates any in-between view. We use three sequential convolutional neural networks for feature extraction, scene geometry estimation and view selection. Compared...
The traditional role of a communication engineer is to address the technical problem of transporting bits reliably overa noisy channel. With the emergence of 5G, and the availability of a variety of competing and coexisting wireless systems, wireless connectivity is becoming a commodity. This article argues that communication engineers in...
RESEARCH PAPER / Dec 2020
/
5G,
Machine learning/ Deep learning /Artificial Intelligence,
Network and Communications
This document describes the winning solution to the GNN Challenge 2020 organized by the Barcelona Neural Networking Center for the ITU Artificial Intelligence/Machine Learning in 5G Challenge. We first describe our methodology, then give the set of hyper-parameters that allowed us to achieve the best score with an average relative...
Blockchain technology is a technology that jointly leverages and builds on top of a few existing techniques such as cryptography, hashing, Peer-to-Peer (P2P) networking, smart contract, and consensus protocols. Fully distributed control and management capability of the 5G/6G wireless systems may be enabled by blockchain technology, especially in the untrusted...
RESEARCH PAPER / Dec 2020
/
Network and Communications,
5G,
Wireless communication,
Computing and Optimization
For Internet operators, on-line service providers and end-users, representative operational measurements are crucial to monitor and diagnose the performance of networks and on-line services. While numerous approaches have been proposed to measure performance, only a few works fully adopt an end-user perspective by taking measurements from within web browsers. In...
RESEARCH PAPER / Nov 2020
/
5G,
Wireless communication,
Network and Communications,
Computing and Optimization
This paper investigates the task management for cooperative mobile edge computing (MEC), where a set of geographically distributed heterogeneous edge nodes not only cooperate with remote cloud data centers but also help each other to jointly process tasks and support real-time IoT applications at the edge of the network. Especially,...
In this presentation we’ll talk about the development of Beam Management and describe the system attributes related to performing the initial beam establishment. We will also review the supported 3GPP requirements and limitations of the current implementation. We’ll then share some details about the beam management implementation done on the...
The emergence of edge computing introduces new complexity in the creation of distributed mobile applications. Application designers can now deploy application functionality in three or more tiers of compute infrastructure to optimize bandwidth, latency, cost, user experience and privacy for their users and their own operations. However, the diversity of...
In this paper we address the problem of view synthesis from large baseline light fields, by turning a sparse set of input views into a Multi-plane Image (MPI). Because available datasets are scarce, we propose a lightweight network that does not require extensive training. Unlike latest approaches, our model does...
In this work we propose a solution for the creation of a nanojet focusing component based on a combination of two dielectric materials capable of managing the position of the focused beam in the near zone. We demonstrate that the double-material design of the elements of metagratings can be used...
This paper presents CompressAI, an open-source library that provides custom operations, layers, models and tools to research, develop, and evaluate end-to-end image and video codecs. In particular, CompressAI includes pre-trained models and evaluation tools to compare learned methods with traditional codecs. Multiple models from the state-of-the-art on learned end-to-end image...
arxiv version of https://interdigital.sharepoint.com/sites/RI/Lists/ID Publications/DispForm.aspx?ID=794
RESEARCH PAPER / Sep 2020
/
Wireless communication,
Network and Communications,
Computing and Optimization
Mobile edge computing (MEC) is an emerging paradigm that integrates computing resources in wireless access networks to process computational tasks in close proximity to mobile users with low latency. In this paper, we propose an online double deep Q networks (DDQN) based learning scheme for task assignment in dynamic MEC...
In this paper, a simple compact radiation pattern reconfigurable patch antenna is presented. The proposed design is composed of two back-to-back identical patches surrounded by a conductive strip, etched on both sides of a dielectric substrate. It has the same dimensions as a classical patch. Thanks to the use of...
5G promises to bring back value to the network operator and not only serve as a data pipe solution anymore. Operators have started to adopt cloud-native paradigms for the deployment of the 5G core architecture. With it goes the introduction of the service-based architecture as a key design pattern for...
The development of tactile screens opens new perspectives for co-located images and haptic rendering, leading to the concept of “haptic images.” They emerge from the combination of image data, rendering hardware, and haptic perception. This enables one to perceive haptic feedback while manually exploring an image. This raises nevertheless two...
Zero-forcing precoding is a commonly-used multiple-user, multiple-input multiple-output beamforming technique. Applying such precoding, the signal-to-interference-plus-noise ratio (SINR) statistics with outdated channel state information, which involve various projections related to the multi-dimensional channel vectors and precoding vectors, have never been explicitly derived. In this paper, for the multiple-input single-output scenario with...
Efficient Nearest Neighbor (NN) search in high-dimensional spaces is a foundation of many multimedia retrieval systems. A common approach is to rely on Product Quantization, which allows the storage of large vector databases in memory and efficient distance computations. Yet, implementations of nearest neighbor search with Product Quantization have their...
This paper presents a novel planar compact integrated four-sector antenna for sub-6GHz 5G indoor access and content distribution over 2.45GHz/ 5.5GHz dual-band WiFi in 2x2 MIMO configuration. The four sectors, for 5G applications, are obtained via Vivaldi antennas with ground reuse for achieving very compact dimensions. A compact two-port slot...
"A recently celebrated kind of deep neural networks is Generative Adversarial Networks. GANs are generators of samples from a distribution that has been learned; they are up to now centrally trained from local data on a single location. We question the performance of training GANs using a spread dataset over...
Augmented Reality (AR) is a concept and a set of technologies for merging of real and virtual elements to produce new visualizations – typically a video – where physical and digital objects co-exist and interact in real time. Most AR applications support real-time interaction with content (AR scene with virtual...
This paper presents a novel compact hybrid monopole- Annular Slot Antenna (ASA). The proposed antenna combines the advantages of an ASA with the broadband feature of a wideband monopole. The antenna simulated performance is thoroughly analyzed and validated via measurements.
This paper presents a novel compact, wideband, four directional radiation patterns, antenna. The radiating element topology is inspired from the Annular Slot Antenna (ASA) and printed wideband monopole. The antenna is designed for North American ATSC-TV indoor reception. For an S11<;-6dB, it covers both High-VHF and UHF bands. It presents...
In this paper, we propose a new format for haptic texture mapping which is not dependent on the haptic rendering setup hardware. Our “haptic material” format encodes ten elementary haptic features in dedicated maps, similarly to “materials” used in computer graphics. These ten different features enable the expression of compliance,...
With the growth of virtual reality setups, digital sculpting tools become more and more immersive. It is now possible to create a piece of art within a virtual environment, directly with the controllers. However, these devices do not allow to touch the virtual material as a sculptor would do. To...
Over the last few years, we watched head-worn virtual and augmented reality devices move from research laboratories to store shelves as the newest platform enabling novel virtual experiences. The big promise of emerging mixed reality (MR) technology is a far deeper immersion into imaginary worlds than is possible with the...
Quadrotor drones equipped with high quality cameras have rapidly raised as novel, cheap and stable devices for filmmakers. While professional drone pilots can create aesthetically pleasing videos in short time, the smooth -- and cinematographic -- control of a camera drone remains challenging for most users, despite recent tools that...
Color grading is a crucial step in film post-production for defining the creative intent and giving a particular look and feel to the content. In the context of VR, no adapted solutions exist yet for color grading 360° imagery, leading to cumbersome work-arounds and costing precious production time. To enable...
Virtual reality offers a new way of telling stories and engaging audiences. To create appealing content for this new imaging modality, content production and post-production workflows need to be adapted or completely rethought. One key aspect for ensuring image quality and preservation of the director's intent throughout the production workflow...
Learning parameters from voluminous data can be prohibitive in terms of memory and computational requirements. We propose a ‘compressive learning’ framework, where we estimate model parameters from a sketch of the training data. This sketch is a collection of generalized moments of the underlying probability distribution of the data. It...
The success of Google’s PageRank algorithm popularized graphs as a tool to model the web’s navigability. At that time, the web topology was resulting from human edition of hyper-links. Nowadays, that topology is mostly resulting from algorithms. In this paper, we propose to study the topology realized by a class...
Smart city technologies could save enterprises, governments and citizens globally over US $5 trillion annually by 2022. This is the conclusion reached by ABI Research in this new white paper, which analyzes the scope for cost savings and efficiency as a driver for smart city deployments, smart technologies and the...
Plenoptic cameras enable a variety of novel post-processing applications, including refocusing and single-shot 3D imaging. To achieve high accuracy, such applications typically require knowledge of intrinsic camera parameters. One such parameter is the location of the main lens' optical center relative to the sensor, which is required for modeling radially...
A large portion of data mining and analytic services use modern machine learning techniques, such as deep learning. The state-of-the-art results by deep learning come at the price of an intensive use of computing resources. The leading frameworks (e.g., TensorFlow) are executed on GPUs or on high-end servers in datacenters....
Some structural characteristics of online discussions have been successfully modeled in the recent years. When parameters of these models are properly estimated, the models are able to generate synthetic discussions that are structurally similar to the real discussions. A common aspect of these models is that they consider that all...
This chapter presents the Integrated Lens Antenna (ILA) technology as it evolved since its introduction aiming to respond to the needs of emerging applications such as high-data-rate communication, intelligent transport, and mm-wave imaging. The topics covered include the ILA design concepts as well as the electromagnetic phenomena intrinsic to dielectric...
Wearable optical technologies are emerging to keep users safe, powered-up and entertained
Rotoscoping, the detailed delineation of scene elements through a video shot, is a painstaking task of tremendous importance in professional post-production pipelines. While pixel-wise segmentation techniques can help for this task, professional rotoscoping tools rely on parametric curves that offer the artists a much better interactive control on the definition,...
Rotoscoping, the detailed delineation of scene elements through a video shot, is a painstaking task of tremendous importance in professional post-production pipelines. While pixel-wise segmentation techniques can help for this task, professional rotoscoping tools rely on parametric curves that offer the artists a much better interactive control on the definition,...
Efficient Nearest Neighbor (NN) search in high-dimensional spaces is a foundation of many multimedia retrieval systems. Because it offers low responses times, Product Quantization (PQ) is a popular solution. PQ compresses high-dimensional vectors into short codes using several sub-quantizers, which enables in-RAM storage of large databases. This allows fast answers...
Les liens DSL peuvent subir des pannes sporadiques entraînant des deconnexions ou un acces Internet dégradé. Ces pannes sont a l’origine d’une expérience utilisateur négative et générent des coûts pour les fournisseurs d’accès Internet (FAI) via des appels d’assistance technique. La prediction de pannes permet aux FAI de mettre en...
La recommandation joue un rôle central dans le e-commerce et dans l'industrie du divertissement. L'intérêt croissant pour la transparence algorithmique nous motive dans cet article à observer les résultats de recommandations sous la forme d'un graphe capturant les navigations proposées dans l'espace des items. Nous argumentons qu'une telle approche en...
RESEARCH PAPER / May 2017
/
Machine learning/ Deep learning /Artificial Intelligence,
Computing and Optimization
Learning from multi-label data in an interactive framework is a challenging problem as algorithms must withstand some additional constraints: in particular, learning from few training examples in a limited time. A recent study of multi-label classifier behaviors in this context has identified the potential of the ensemble method “Random Forest...
While the IoT market in general was slow to capture the public's imagination prior to 2017, one area where IoT is blooming is in the smart city and smart building industry; mass rollouts of IoT in an industrial setting, including urban environments and business hubs, are beginning to garner success....
Generating complex discrete distributions remains as one of the challenging problems in machine learning. Existing techniques for generating complex distributions with high degrees of freedom depend on standard generative models like Generative Adversarial Networks (GAN), Wasserstein GAN, and associated variations. Such models are based on an optimization involving the distance...
Uncovering Influence Cookbooks : Reverse Engineering the Topological Impact in Peer Ranking Services
Ensuring the early detection of important social network users is a challenging task. Some peer ranking services are now well established, such as PeerIndex, Klout, or Kred. Their function is to rank users according to their influence. This notion of influence is however abstract, and the algorithms achieving this ranking...
MEC and other edge computing initiatives address the need to place processing and storage where appropriate, whether a central location or the network’s edge, depending on factors such as applications, traffic type, network conditions, subscriber profile, and operator’s preference. In this InterDigital sponsored report, RCRWireless explores the evolution of the...
Accounts are often shared by multiple users, each of them having different item consumption and temporal habits. Identifying of the active user can lead to improvements in a variety of services by switching from account personalized services to user personalized services. To do so, we develop a topic model extending...
The polarization of the BSC(γ 1 ) with a BSC(γ 2 ) is characterized explicitly for γ 1 , γ 2 ∈ [0, 1/2]. The polarization yields a channel W - which is a BSC(λ), and a channel W + which is composed of a BSC(ξ) with probability 1 -...
Light field imaging is recently made available tothe mass market by Lytro and Raytrix commercial cameras.Thanks to a grid of microlenses put in front of the sensor, aplenoptic camera simultaneously captures several images of thescene under different viewing angles, providing an enormousadvantage for post-capture applications,e.g., depth estimationand image refocusing. In...
Wi-Fi is the preferred way of accessing the Internet for many devices at home, but it is vulnerable to performance problems. The analysis of Wi-Fi quality metrics such as RSSI or PHY rate may indicate a number of problems, but users may not notice many of these problems if they...
Camcorder piracy refers to the process of using a camcorder to record a screen that displays copyrighted content. In contrast to the previous works that aimed at detecting the occurrence of camcorder piracy, this paper conducts an in-depth study of the luminance flicker that is naturally present in camcorded videos...
Spatio-temporal desynchronization remains a major challenge for watermarking system as it could impair the detection of the hidden payload. Over the years, several (non-blind) registration techniques have been proposed to realign the analyzed content prior to watermark detection and thereby achieve robustness against severe attacks such as display-and-camcord. Such techniques...
Smartening up the City - New technologies promise a breakthrough for efforts to improve urban living
In practice, making existing cities smart is proving hard. Many different stakeholders need to be involved, while sensors, controls and connectivity can be difficult to install in dense urban environments. In response, some cities are now experimenting with low cost, low power Internet of Things technologies that could usher in...
Adding the sense of touch to hearing and seeing would be necessary for a true immersive experience. This is the promise of the growing "4D-cinema" based on motion platforms and others sensory effects (water spray, wind, scent, etc.). Touch provides a new dimension for filmmakers and leads to a new...
The movie industry has been using Unmanned Aerial Vehicles as a new tool to produce more and more complex and aesthetic camera shots. However, the shooting process currently rely on manual control of the drones which makes it difficult and sometimes inconvenient to work with. In this paper we address...
Détecter au plus tôt les utilisateurs importants dans les réseaux sociaux est un problème majeur. Les services de classement d'utilisateurs (peer ranking) sont maintenant des outils bien établis, par des sociétés comme PeerIndex, Klout ou Kred. Leur fonction est de ``classer'' les utilisateurs selon leur influence. Cette notion est néanmoins...
The rise of Unmanned Aerial Vehicles and their increasing use in the cinema industry calls for the creation of dedicated tools. Though there is a range of techniques to automatically control drones for a variety of applications, none have considered the problem of producing cinematographic camera motion in real-time for...
Aggregation of streamed data is key to the expansion of the Internet of Things. This paper addresses the problem of designing a topology for reliably aggregating data flows from many devices arriving at a datacenter. Reliability here means ensuring operation without data loss. We seek a frugal solution that prevents...
In wireless networks such as those based on IEEE 802.11, packet losses due to fading and interference are often misinterpreted as indications of congestion, causing unnecessary decrease in the data sending rate due to congestion control at higher layer protocols. For delay-constrained applications such as video teleconferencing, packet losses may...
5G will deliver the next level of experience and enable a diverse array of 5G services. Learn about eHealth services, pervasive video and high quality content, and enabling tactile internet in this 2015 Mobile World Congress presentation.
An examination of the value chain that drives video is necessary to understand and examine the future of video distribution. Operators, broadcasters or platforms that either produce or aggregate content, pay for video distribution with revenues generated directly by consumers or via advertising. In the past five years, consumer expectation...
BLOG / Jul 2014
/
Bandwidth Crunch,
IEEE,
Spectrum Harvesting,
TVWS,
Webinar
/ Posted By: Meghan Carney
BLOG / Sep 2014
/
InterDigital,
Smart Cloud,
Third Industrial Revolution,
TIR
/ Posted By: Stephanie Stocker
BLOG / Sep 2015
/
IoT,
Mediatek,
LinkIt ONE,
shipiot,
bipio,
wotio,
accelerometer,
demo,
tutorial
/ Posted By: wotio team
BLOG / Oct 2015
/
wot.io,
shipiot,
ti,
texas instruments,
sensortag,
cc2541,
cc2650,
beagleboard,
beaglebone black,
node.js,
python,
devicehive,
device management,
bluetooth,
bluetooth low energy,
nest,
demo,
tutorial
/ Posted By: wotio team
BLOG / Oct 2015
/
wot.io,
shipiot,
ti,
texas instruments,
sensortag,
cc2541,
cc2650,
beagleboard,
beaglebone black,
node.js,
python,
devicehive,
device management,
bluetooth,
bluetooth low energy,
nest,
demo,
tutorial,
circonus,
scriptr,
bip.io,
javascript
/ Posted By: wotio team
BLOG / Oct 2015
/
techinmotion,
nyc,
iot,
tom gilley,
wot.io,
internet of things,
Thingworx
/ Posted By: wotio team
BLOG / Oct 2015
/
iot,
interoperability,
wotio,
data,
internet of things,
connected devices
/ Posted By: wotio team
BLOG / Nov 2015
/
AT&T,
M2X,
Elasticsearch,
Kibana,
WebSocket,
MTA,
GTFS,
Digital Signage,
Metro,
riak
/ Posted By: wotio team
BLOG / Dec 2015
/
Smart City,
ARM,
ARMmbed,
scriptr,
bip.io,
thingworx,
Elasticsearch
/ Posted By: wotio team
BLOG / Dec 2015
/
MQTT,
protocol adapters,
Elasticsearch,
thingworx,
bip.io,
scriptr,
ARM
/ Posted By: wotio team
