Concept

Internet of things

Related publications (225)

Combining Structural and Timing Errors in Overclocked Inexact Speculative Adders

Christian Enz, Vincent Frédéric Camus, Mattia Cacciotti, Yu Jiang, Xun Jiao

Worst-case design is used in IoT devices and high performance data centers to ensure reliability, leading to a power efficiency loss. Recently, approximate computing has been proposed to trade off accuracy for efficiency. In this paper, we use Inexact Spec ...

Ieee2017

Online Generative Model Personalization for Hand Tracking

Mark Pauly, Andrea Tagliasacchi, Edoardo Remelli, Anastasia Tkach

We present a newalgorithm for real-time hand tracking on commodity depth-sensing devices. Our method does not require a user-specific calibration session, but rather learns the geometry as the user performs live in front of the camera, thus enabling seamle ...

Assoc Computing Machinery2017

Context-Dependent Privacy-Aware Photo Sharing based on Machine Learning

Touradj Ebrahimi, Lin Yuan, Joël Régis Theytaz

Photo privacy has raised a growing concern with the advancements of image analytics, face recognition, and deep learning techniques widely applied on social media. If properly deployed, these powerful techniques can in turn assist people in enhancing their ...

2017

Decentralized exact coupled optimization

Ali H. Sayed, Kun Yuan, Sulaiman A S A E Alghunaim

This work develops an exact converging algorithm for the solution of a distributed optimization problem with partially-coupled parameters across agents in a multi-agent scenario. In this formulation, while the network performance is dependent on a collecti ...

2017

Axiom: DTLS-Based Secure IoT Group Communication

Kirill Nikitin

This article presents Axiom, a DTLS-based approach to efficiently secure multicast group communication among IoT-constrained devices. Axiom provides an adaptation of the DTLS record layer, relies on key material commonly shared among the group members, and ...

Assoc Computing Machinery2017

Efficient Decentralized Visual Place Recognition From Full-Image Descriptors

Davide Scaramuzza, Titus Cieslewski

In this paper, we discuss the adaptation of our decentralized place recognition method described in [1] to fullimage descriptors. As we had shown, the key to making a scalable decentralized visual place recognition lies in exploting deterministic key assig ...

2017

Closed-Loop Lifecycle Management of Service and Product in the Internet of Things: Semantic Framework for Knowledge Integration

Min-Jung Yoo

This paper describes our conceptual framework of closed-loop lifecycle information sharing for product-service in the Internet of Things (IoT). The framework is based on the ontology model of product-service and a type of IoT message standard, Open Messagi ...

Mdpi Ag2016

Ultra Low-Power Frequency Synthesizers for Duty Cycled IoT radios

Raghavasimhan Thirunarayanan

Internet of Things (IoT), which is one of the main talking points in the electronics industry today, consists of a number of highly miniaturized sensors and actuators which sense the physical environment around us and communicate that information to a cent ...

EPFL2016

193 MOPS/mW @ 162 MOPS, 0.32V to 1.15V voltage range multi-core accelerator for energy efficient parallel and sequential digital processing

Andreas Peter Burg, Adam Shmuel Teman, Luca Benini, Jeremy Hugues-Felix Constantin

Low power (mW) and high performance (GOPS) are strong requirements for compute-intensive signal processing in E-health, Internet-of-Things, and wearable applications. This work presents a building block for programmable Ultra-Low Power accelerators, namely ...

Ieee2016

Context and Semantic Aware Location Privacy

Berker Agir

With ever-increasing computational power, and improved sensing and communication capabilities, smart devices have altered and enhanced the way we process, perceive and interact with information. Personal and contextual data is tracked and stored extensivel ...

EPFL2016

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.