Deposits of clastic carbonate-dominated (calciclastic) sedimentary slope systems in the rock record have been identified mostly as linearly-consistent carbonate apron deposits, even though most ancient clastic carbonate slope deposits fit the submarine fan systems better. Calciclastic submarine fans are consequently rarely described and are poorly understood. Subsequently, very little is known especially in mud-dominated calciclastic submarine fan systems. Presented in this study are a sedimentological core and petrographic characterisation of samples from eleven boreholes from the Lower Carboniferous of Bowland Basin (Northwest England) that reveals a >250 m thick calciturbidite complex deposited in a calciclastic submarine fan setting. Seven facies are recognised from core and thin section characterisation and are grouped into three carbonate turbidite sequences. They include: 1) Calciturbidites, comprising mostly of highto low-density, wavy-laminated bioclast-rich facies; 2) low-density densite mudstones which are characterised by planar laminated and unlaminated muddominated facies; and 3) Calcidebrites which are muddy or hyper-concentrated debrisflow deposits occurring as poorly-sorted, chaotic, mud-supported floatstones. These

Phd by thesis

An overview of the self-organizing map algorithm, on which the papers in this issue are based, is presented in this article.

The Self-Organizing Map

Many current neurophysiological, psychophysical, and psychological approaches to vision rest on the idea that when we see, the brain produces an internal representation of the world. The activation of this internal representation is assumed to give rise to the experience of seeing. The problem with this kind of approach is that it leaves unexplained how the existence of such a detailed internal representation might produce visual consciousness. An alternative proposal is made here. We propose that seeing is a way of acting. It is a particular way of exploring the environment. Activity in internal representations does not generate the experience of seeing. The outside world serves as its own, external, representation. The experience of seeing occurs when the organism masters what we call the governing laws of sensorimotor contingency. The advantage of this approach is that it provides a natural and principled way of accounting for visual consciousness, and for the differences in the perceived quality of sensory experience in the different sensory modalities. Several lines of empirical evidence are brought forward in support of the theory, in particular: evidence from experiments in sensorimotor adaptation, visual \"filling in,\" visual stability despite eye movements, change blindness, sensory substitution, and color perception.

A sensorimotor account of vision and visual consciousness-Authors' Response-Acting out our sensory experience

Internet of Things (IoT), mobile cloud, cloudlet, mobile IoT, IoT cloud, fog, mobile edge, and edge emerging computing paradigms: Disambiguation and research directions

The health sciences are, nowadays, one of the major application areas for case-based reasoning (CBR). The paper presents a survey of recent medical CBR systems based on a literature review and an e-mail questionnaire sent to the corresponding authors of the papers where these systems are presented. Some clear trends have been identified, such as multipurpose systems: more than half of the current medical CBR systems address more than one task. Research on CBR in the area is growing, but most of the systems are still prototypes and not available in the market as commercial products. However, many of the projects/systems are intended to be commercialized.

Case-Based Reasoning Systems in the Health Sciences: A Survey of Recent Trends and Developments

People like creating their own videos by mixing various contents Many applications allow us to generate video clips by merging different media like videos clips, photos, text and sounds Some of these applications enable us to combine online content with our own resources Given the large amount of content available, the problem is to quickly find content that truly meet our needs This is when recommender systems come in In this paper, we propose an approach for contextual video recommendations based on a Trace-Based Reasoning approach

https://liris.cnrs.fr/Documents/Liris-5518.pdf

Contextual trace-based video recommendations

This paper addresses the issue of interactive adaptation knowledge acquisition. It shows how the expert's involvement in this process can improve the quality and usefulness of the results. The approach is defended in the context of \taaable, a \cbr system which adapts recipes to user needs. In \taaable, adaptation knowledge takes the form of substitutions. A datamining process allows the discovery of specific substitutions in recipes. A second process, that must be driven by an expert, is needed to generalise these substitutions to make them usable on other recipes. For that, we defend an approach based on closed itemsets (CIs) for extracting generic substitutions starting from specific ones. We focus on a restrictive selection of objects, on a specific filtering on the form of the CIs and on a specific ranking on support and stability of the CIs. Experimentations demonstrate the feasibility of our approach and show some first results.

https://hal.inria.fr/hal-00720481/document

Extracting Generic Cooking Adaptation Knowledge for the TAAABLE Case-Based Reasoning System

More and more things are now connected to the Internet and become part of the Web of Things. The notion of "thing" encompasses various types of devices, from complex robots to simple sensors. In particular, things may rely on limited memory, storage and computing capabilities. We propose an architecture able to embed both semantic and RESTful technologies into constrained things, while being generic and reconfigurable. It combines emerging standards such as CoAP and Hydra to split RDF graphs, process requests, and generate responses on-the-fly. We validate our proposition by implementing such a Server in an Arduino UNO.

https://hal.archives-ouvertes.fr/hal-01515382/document

Toward Constrained Semantic WoT

We describe the conception of a visualization and transformation tool for traces of 
the real-time strategy (RTS) computer game StarCraft. The development of our tool 
StarTrace is driven by the domain the traces originate from as well as the observable 
elements those traces contain. We elaborate on those influences, which also include both 
the structure of the existing game traces and the requirement to use these traces to improve 
the performance of an machine learning (ML) agent that attempts to learn to play parts of the game.

Building a trace-based system for real-time strategy game traces

Social semantic web creates read/write spaces where users and smart agents collaborate to produce knowledge readable by humans and machines. An important issue concerns the ontology evolution and evaluation in man-machine collaboration. How to perform a change on ontologies in a social semantic space that currently use these ontologies through requests? In this paper, we propose to implement a continuous knowledge integration process named K-CIP. We take advantage of man-machine collaboration to transform feedback of people into tests. This paper presents how K-CIP can be deployed to allow fruitful man-machine collaboration in the context of the Wikitaaable system.

https://hal.inria.fr/hal-00765596/document

Amélie Cordier

Papers

Contextual trace-based video recommendations

Extracting Generic Cooking Adaptation Knowledge for the TAAABLE Case-Based Reasoning System

Toward Constrained Semantic WoT

Building a trace-based system for real-time strategy game traces

Knowledge continuous integration process (K-CIP)