836 research outputs found

    SATORI Trainer A Wearable Exercising Tracking Device Taking Your Fitness Goals to the Next Level

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    With the increasing emphasis on health in the United States coupled with the continuing growth of technology across the world, the fitness technology industry has significantly soared over the years. Wearable exercising equipment\u27s such as smart watches and step counters have become quite popular. In this project we aim to design a wearable tracking motion system that will be integrated into an exercising gear. This product will obtain user\u27s motion and body postures to provide real-time feedback via an interface on how to correct movements and perform the right exercise. With this product, amateurs and professionals will be able to proactively exercise and improve their safety

    A Two-Step Inverse Procedure for Outer Surface Defects Characterization from Ultrasonic BScan Images

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    In service inspections of French nuclear pressure water reactor (PWR) vessels are carried out automatically in complete immersion from the inside by means of ultrasonic focused probes working in the pulse-echo mode. Concern has been expressed about the capabilities of performing non destructive evaluation of Outer Surface Defects (OSD’s), i.e., defects located in the vicinity of the outer surface, in nuclear PWR vessels. The OSD’s are insonified by both a “direct” field that passes through the inner surface of the inspected component containing the defect and a “secondary” field reflected from its outer surface. Consequently, Bscan images containing the signature of such defects are complicated and their interpretation is a difficult task

    Le quartier périurbain de la Bouillie (Blois)

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    Depuis 2004, à la demande de l’État, la communauté d’agglomération de Blois (France) s’est engagée dans une opération de désurbanisation afin de soustraire au risque d’inondation les habitants implantés dans le déversoir de la Bouillie et de redonner à cet ouvrage sa fonction initiale de protection de la ville. Au fil des démolitions, ce quartier périurbain s’efface peu à peu, s’isolant du reste de la ville. En 2009, la communauté d’agglomération a souhaité anticiper le devenir du quartier en engageant une réflexion prospective afin de déterminer la ou les vocations, le sens, l’identité et le mode de gestion à donner à la Bouillie, en lien avec le quartier endigué de Vienne et compatible(s) avec le risque d’inondation. Une réflexion de prospective paysagère a permis de définir un ambitieux projet de territoire où l’agriculture maraîchère périurbaine constitue, dans le quartier désurbanisé reconquis, une antichambre productive, source de biodiversité et de développement local aux portes de la ville.Since 2004, on demand of the State, the community of towns in the neighbourhood of Blois (France) started an operation of disurbanization to shield the inhabitants in the overflow called La Bouillie from the risk of flood, and to restore the initial function of protection of the town. Throughout the demolishing process, this outer-urban district is fading little by little, isolating itself from the town. In 2009, the community of towns wished to anticipate the future of the district ; it ordered a prospective study to determine one or several vocations, a meaning, an identity for La Bouillie, and a way of managing it - all in connection with Vienne, the diked district, and compatible with the risk of flood. A landscape prospective study determined an ambitious territory project in which the outer-urban farming, in the disurbanized and reconquered district, constitutes a productive anteroom, a source of biodiversity and local development at the doors of Blois

    An overview of the "Color Game" App project

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    The Color Game gaming app (2018–2019) invited players from all over the world to invent a visual language without words. Participants took part in a referential communication task where a Sender had to indicate a colour to a Receiver, with the help of black and white symbols. They could freely choose which other players they interacted with, and play repeatedly with their chosen contacts. This paper presents the Color Game dataset, accessible at https://osf.io/9yc25/, which records all interactions between app players. In its final cleaned-up version, the dataset contains 347,606 games by 2,535 players, from more than 100 different countries, speaking 80 different languages. This companion paper describes the app’s workings and history.1. General description 2. Preregistered predictions & projects 2.1. Preregistration process 2.2. The projects 2.2.1. FRIENDS (https://osf.io/y2vak/). 2.2.2. INFORMATION (https://osf.io/7y9pn/). 2.2.3. LANGUAGE (https://osf.io/a8bge/). 2.2.4. PRIORS (https://osf.io/dqhtv/). 2.2.5. SALIENCE (https://osf.io/f9xzq/) 2.2.6. TREES (https://osf.io/r7n32/). 2.3. Open-ended exploration 3. Open data & code 3.1. The Color Game dataset repository 3.2. Exclusion and inclusion criteria: preregistered rules 3.3. Exclusion and inclusion criteria: departures from the preregistered rules 3.4. Other datasets 3.5. Open code 4. Color Game deployment log 5. Descriptive and exploratory analyses 6. Acknowledgements 7. Creative Commons Licence 8. Data privacy Reference

    Color terms: Native language semantic structure and artificial language structure formation in a large-scale online smartphone application

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    Artificial language games give researchers the opportunity to investigate the emergence and evolution of semantic structure, i.e. the organization of meaning spaces into discrete categories. A possible issue for this approach is that categories might simply carry over from participants’ native languages, a potential bias that has mostly been ignored. We investigate this in a referential communication game by comparing color terms from three different languages to those of an artificial language. Here, we assess the similarity of the semantic structures, and test the influence of the semantic structure on artificial language communication. We compare the in-game communication to a separate online naming task providing us with the native language structure. Our results show that native and artificial language structure overlap at least moderately. Furthermore, communicative behavior and performance were influenced by the shared semantic structure, but only for English-speaking pairs. These results imply a cognitive link between participants’ semantic structures and artificial language structure formation.1. Introduction - Artificial language games, semantic structure, and possible biases - Color terms and categorical facilitation 2. Method - The Color Game -- Participants -- Materials -- Procedure - Online survey -- Participants -- Materials -- Procedure - Predictions 3. Results - Prediction 1 - Prediction 2.1 - Prediction 2.2 - Prediction 2.3 - Prediction 3 4. Discussion 5. Conclusio

    An Inverse Method for Cracks Characterization from Ultrasonic Bscan Images

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    Concern has been expressed about the capabilities of performing non destructive evaluation (NDE) of flaws located near to the outer surface in nuclear pressurized water reactor (PWR) vessels. The ultrasonic examination of PWR is accomplished from the inside with ultrasonic focused transducers working in the pulse echo mode. By recording the echoes as a function of time, the Ascan representation may be obtained. Many ultrasonic flaw detectors used for NDE are based on the simple Ascan concept involving measuring a time interval called “time of flight”. By combining the Ascan concept with synchronized transducer scanning, one can produce Bscan images that are two dimensional descriptions of the flaw interaction with the ultrasonic field

    Theory and Implementation of Complex-Valued Neural Networks

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    This work explains in detail the theory behind Complex-Valued Neural Network (CVNN), including Wirtinger calculus, complex backpropagation, and basic modules such as complex layers, complex activation functions, or complex weight initialization. We also show the impact of not adapting the weight initialization correctly to the complex domain. This work presents a strong focus on the implementation of such modules on Python using cvnn toolbox. We also perform simulations on real-valued data, casting to the complex domain by means of the Hilbert Transform, and verifying the potential interest of CVNN even for non-complex data.Comment: 42 pages, 18 figure
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