scispace - formally typeset
Search or ask a question
Author

Lionel Brunie

Bio: Lionel Brunie is an academic researcher from Institut national des sciences Appliquées de Lyon. The author has contributed to research in topics: Ubiquitous computing & Grid. The author has an hindex of 26, co-authored 185 publications receiving 2517 citations. Previous affiliations of Lionel Brunie include Joseph Fourier University & Intelligence and National Security Alliance.


Papers
More filters
Patent
27 Jul 1993
TL;DR: In this article, a method for determining the position of a patient's organ with respect to at least two imaging devices includes a step of making at least one three-dimensional first image of an organ of the patient giving a first coordinate system and of a surface of the organ or skin region using a first imaging device without fixing any mark to the patient.
Abstract: A method for determining the position of a patient's organ with respect to at least two imaging devices includes a step of making at least one three-dimensional first image of an organ of a patient giving a first coordinate system and of a surface of the organ or skin region using a first imaging device without fixing any mark to the patient, placing the patient in an operation site having a second coordinate system and determining a first position of a second imaging device with respect to the second coordinate system of the operation site. In addition, the method includes the steps of making a second image with the second imaging device, matching the first and second images and providing a third device having a third coordinate system. The third device is positioned with respect to the second image of the second device which thereby positions the third device with respect to the first image of the first imaging device.

184 citations

Proceedings ArticleDOI
19 Mar 2007
TL;DR: This paper proposes an ontology-based generic context management (GCoM) model that facilitates context reasoning by providing structure for contexts, rules and their semantics.
Abstract: The behavior of pervasive applications should depend not only on their internal state and user interactions but also on the context sensed during their execution. In this paper, we propose an ontology-based generic context management (GCoM) model. The GCoM model facilitates context reasoning by providing structure for contexts, rules and their semantics. Context and context semantics in GCoM model are represented using the upper and the lower level ontology. Rules are represented using ontology compatible rule languages. Even though ontology data has static nature, GCoM model is designed to be dynamic and reusable in multiple domains of pervasive applications where resource limitation is a key issue. Initial prototype of the use of the model is created and the result obtained is promising

122 citations

Proceedings ArticleDOI
TL;DR: A new method for determining the rigid body transformation that describes this match is presented, which performs a least squares minimization of the distance between the camera-contour projection lines and the surface.
Abstract: The matching of 3-D anatomical surfaces to 2-D X-ray projections is an important problem in Computer and Robot Assisted Surgery. We present a new method for determining the rigid body transformation that describes this match. Our method performs a least squares minimization of the distance between the camera-contour projection lines and the surface. To correctly deal with projection lines that penetrate the surface, we minimize the square of the minimum signed distance along each line (distances inside the object are negative). To quickly and accurately compute distances to the surface, we represent the precomputed distance map using an octree spline whose resolution increases near the surface. The octree allows us to quickly find the minimum distance along each line using best-first search. We present experimental results of 3-D surface to 2-D projection matching, and also show how our method works for 3-D to 3-D surface matching.

109 citations

Book ChapterDOI
30 May 2016
TL;DR: In this paper, a blockchain based decentralized privacy-preserving reputation system for e-commerce applications is presented. But the system is not suitable for real world usage in, for example, ecommerce applications.
Abstract: Reputation systems are crucial for distributed applications in which users have to be made accountable for their actions, such as e-commerce websites. However, existing systems often disclose the identity of the raters, which might deter honest users from submitting reviews out of fear of retaliation from the ratees. While many privacy-preserving reputation systems have been proposed, we observe that none of them is simultaneously truly decentralized, trustless, and suitable for real world usage in, for example, e-commerce applications. In this paper, we present a blockchain based decentralized privacy-preserving reputation system. We demonstrate that our system provides correctness and security while eliminating the need for users to trust any third parties or even fellow users.

103 citations

Journal ArticleDOI
TL;DR: This survey presents a study and analysis of existing trust systems in participatory sensing applications, and identifies many trust problems that have not been solved and many attacks that have been addressed yet in the literature.

102 citations


Cited by
More filters
Proceedings ArticleDOI
22 Jan 2006
TL;DR: Some of the major results in random graphs and some of the more challenging open problems are reviewed, including those related to the WWW.
Abstract: We will review some of the major results in random graphs and some of the more challenging open problems. We will cover algorithmic and structural questions. We will touch on newer models, including those related to the WWW.

7,116 citations

Journal Article
TL;DR: AspectJ as mentioned in this paper is a simple and practical aspect-oriented extension to Java with just a few new constructs, AspectJ provides support for modular implementation of a range of crosscutting concerns.
Abstract: Aspect] is a simple and practical aspect-oriented extension to Java With just a few new constructs, AspectJ provides support for modular implementation of a range of crosscutting concerns. In AspectJ's dynamic join point model, join points are well-defined points in the execution of the program; pointcuts are collections of join points; advice are special method-like constructs that can be attached to pointcuts; and aspects are modular units of crosscutting implementation, comprising pointcuts, advice, and ordinary Java member declarations. AspectJ code is compiled into standard Java bytecode. Simple extensions to existing Java development environments make it possible to browse the crosscutting structure of aspects in the same kind of way as one browses the inheritance structure of classes. Several examples show that AspectJ is powerful, and that programs written using it are easy to understand.

2,947 citations

Journal ArticleDOI
TL;DR: This paper surveys context awareness from an IoT perspective and addresses a broad range of techniques, methods, models, functionalities, systems, applications, and middleware solutions related to context awareness and IoT.
Abstract: As we are moving towards the Internet of Things (IoT), the number of sensors deployed around the world is growing at a rapid pace. Market research has shown a significant growth of sensor deployments over the past decade and has predicted a significant increment of the growth rate in the future. These sensors continuously generate enormous amounts of data. However, in order to add value to raw sensor data we need to understand it. Collection, modelling, reasoning, and distribution of context in relation to sensor data plays critical role in this challenge. Context-aware computing has proven to be successful in understanding sensor data. In this paper, we survey context awareness from an IoT perspective. We present the necessary background by introducing the IoT paradigm and context-aware fundamentals at the beginning. Then we provide an in-depth analysis of context life cycle. We evaluate a subset of projects (50) which represent the majority of research and commercial solutions proposed in the field of context-aware computing conducted over the last decade (2001-2011) based on our own taxonomy. Finally, based on our evaluation, we highlight the lessons to be learnt from the past and some possible directions for future research. The survey addresses a broad range of techniques, methods, models, functionalities, systems, applications, and middleware solutions related to context awareness and IoT. Our goal is not only to analyse, compare and consolidate past research work but also to appreciate their findings and discuss their applicability towards the IoT.

2,542 citations