Auswahl der wissenschaftlichen Literatur zum Thema „Détection intelligente du crime“
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Zeitschriftenartikel zum Thema "Détection intelligente du crime"
Lapierre, Nolwenn, Isabelle Carpentier, Alain St-Arnaud, Francine Ducharme, Jean Meunier, Mireille Jobidon und Jacqueline Rousseau. „Vidéosurveillance intelligente et détection des chutes : perception des professionnels et des gestionnaires“. Canadian Journal of Occupational Therapy 83, Nr. 1 (15.06.2015): 33–41. http://dx.doi.org/10.1177/0008417415580431.
Der volle Inhalt der QuelleGaroupa, Nuno. „Crime and Punishment : Further Results“. Économie appliquée 54, Nr. 3 (2001): 107–20. http://dx.doi.org/10.3406/ecoap.2001.1772.
Der volle Inhalt der QuelleComaroff, Jean, John L. Comaroff und Andrea-Luz Gutierrez Choquevilca. „La détection divine : le crime et la métaphysique du désordre“. Cahiers d'anthropologie sociale N° 13, Nr. 1 (2016): 94. http://dx.doi.org/10.3917/cas.013.0094.
Der volle Inhalt der QuelleLapierre, Nolwenn, Chloë Proulx Goulet, Alain St-Arnaud, Francine Ducharme, Jean Meunier, Sophie Turgeon Londei, Jocelyne Saint-Arnaud, Francine Giroux und Jacqueline Rousseau. „Perception et réceptivité des proches-aidants à l’égard de la vidéosurveillance intelligente pour la détection des chutes des aînés à domicile“. Canadian Journal on Aging / La Revue canadienne du vieillissement 34, Nr. 4 (09.11.2015): 445–56. http://dx.doi.org/10.1017/s0714980815000392.
Der volle Inhalt der QuelleBenmebarek, Zoubir. „Infanticide following a postpartum psychosis“. Batna Journal of Medical Sciences (BJMS) 2, Nr. 1 (30.06.2015): 78–81. http://dx.doi.org/10.48087/bjmscr.2015.2118.
Der volle Inhalt der QuelleIvy, Marilyn. „De fâcheux incidents. Énigmes criminelles du quotidien dans le Japon d'après-guerre“. Anthropologie et Sociétés 22, Nr. 3 (10.09.2003): 85–105. http://dx.doi.org/10.7202/015560ar.
Der volle Inhalt der QuelleTurkalj, Kristian. „Les enjeux de la réglementation sur la conservation des données de communications électroniques á la lumière de la jurisprudence de la cour de justice d l’Union Européenne“. Zbornik radova Pravnog fakulteta u Splitu 57, Nr. 1 (19.02.2020): 53–84. http://dx.doi.org/10.31141/zrpfs.2020.57.135.53.
Der volle Inhalt der QuelleDissertationen zum Thema "Détection intelligente du crime"
Wahl, Martine. „Contribution à la détection d'obstacles pour la voiture intelligente“. Grenoble INPG, 1997. http://www.theses.fr/1997INPG0229.
Der volle Inhalt der QuelleKhalaf, Ziad. „Contributions à l'étude de détection des bandes libres dans le contexte de la radio intelligente“. Phd thesis, Supélec, 2013. http://tel.archives-ouvertes.fr/tel-00812666.
Der volle Inhalt der QuelleKhammari, Ayoub. „Système embarqué de détection multi-sensorielle de véhicules : application à la gestion intelligente des interdistances“. Paris, ENMP, 2005. http://www.theses.fr/2005ENMP1319.
Der volle Inhalt der QuelleThis ph. D. Thesis tackles the problem of improving the robustness of vehicle detection for acc applications. In fact, one corporal accident out of four is due to a rear collision. For this sake, we combine two sensors : a frontal camera and a laser scanner. The improvement of the robustness stems from two aspects. First, we addressed the visionb based detection by developing an original approach based on fine gradient analysis, enhanced with the algorithm adaboost/ga for vehicle recognition. Then, we use the theory of evidence as a fusion framework to combine confidences delivered by the sensors and algorithms in order to improve the classification "vehicle vs. Non vehicle". The final architecture of the system is not only modular but also generic and flexible, that it could be used for other detection applications. The system was successfully implemented on lara, the prototype vehicle of the robotics center. It was evaluated at the final session of the project arcos and has demonstrated its fiability over various test scenarios elaborated specifically for acc applications
Ibrahim, Elkhatib. „Commande intelligente tolérante aux fautes des systèmes multi-sources d'énergie“. Thesis, Lille 1, 2013. http://www.theses.fr/2013LIL10086/document.
Der volle Inhalt der QuelleThis thesis presents stability analysis for a class of uncertain nonlinear systems and a method for designing robust fuzzy controllers to stabilize the multivariable multi-sources of energy systems subject to parameter uncertainties, sensor faults, actuator faults/unknown inputs and wind disturbance. First, the Takagi–Segno (TS) fuzzy model is adopted for fuzzy modeling of the uncertain nonlinear system. Next, we propose a Fuzzy Dedicated Observers (FDOS) method and a Fuzzy Proportional-Integral Estimation Observer (FPIEO) with a Fuzzy Fault Tolerant Control (FFTC) algorithm for TS systems. FDOS provide residuals for detection and isolation of sensor faults which can affect a TS model and FPIEO estimate the actuator faults which fed to the FDOS to reconfigure the controller. The concept of the Parallel Distributed Compensation (PDC) is employed to design FFTC and observers from the TS fuzzy models. Sufficient conditions are derived for robust stabilization, in the sense of Taylor series stability and Lyapunov method, for the TS fuzzy system with parametric uncertainties, sensor faults, actuator faults/unknown inputs and wind disturbance. The sufficient conditions are formulated in the format of Linear Matrix Inequalities (LMIs) and Linear Matrix Equalities (LMEs). Important issues for the stability analysis and design are remarked. The effectiveness of the proposed controller design methodology is finally demonstrated through a Hybrid Wind-Diesel System (HWDS), Wind Energy System (WES) with Doubly Fed Induction Generators (DFIG) and Photovoltaic (PV) generation system to illustrate the effectiveness of the proposed method
ROLLO, FEDERICA. „Verso soluzioni di sostenibilità e sicurezza per una città intelligente“. Doctoral thesis, Università degli studi di Modena e Reggio Emilia, 2022. http://hdl.handle.net/11380/1271183.
Der volle Inhalt der QuelleA smart city is a place where technology is exploited to help public administrations make decisions. The technology can contribute to the management of multiple aspects of everyday life, offering more reliable services to citizens and improving the quality of life. However, technology alone is not enough to make a smart city; suitable methods are needed to analyze the data collected by technology and manage them in such a way as to generate useful information. Some examples of smart services are the apps that allow to reach a destination through the least busy road route or to find the nearest parking slot, or the apps that suggest better paths for a walk based on air quality. This thesis focuses on two aspects of smart cities: sustainability and safety. The first aspect concerns studying the impact of vehicular traffic on air quality through the development of a network of traffic and air quality sensors, and the implementation of a chain of simulation models. This work is part of the TRAFAIR project, co-financed by the European Union, which is the first project with the scope of monitoring in real-time and predicting air quality on an urban scale in 6 European cities, including Modena. The project required the management of a large amount of heterogeneous data and their integration on a complex and scalable data platform shared by all the partners of the project. The data platform is a PostgreSQL database, suitable for dealing with spatio-temporal data, and contains more than 60 tables and 435 GB of data (only for Modena). All the processes of the TRAFAIR pipeline, the dashboards and the mobile apps exploit the database to get the input data and, eventually, store the output, generating big data streams. The simulation models, executed on HPC resources, use the sensor data and provide results in real-time (as soon as the sensor data are stored in the database). Therefore, the anomaly detection techniques applied to sensor data need to perform in real-time in a short time. After a careful study of the distribution of the sensor data and the correlation among the measurements, several anomaly detection techniques have been implemented and applied to sensor data. A novel approach for traffic data that employs a flow-speed correlation filter, STL decomposition and IQR analysis has been developed. In addition, an innovative framework that implements 3 algorithms for anomaly detection in air quality sensor data has been created. The results of the experiments have been compared to the ones of the LSTM autoencoder, and the performances have been evaluated after the calibration process. The safety aspect in the smart city is related to a crime analysis project, the analytical processes directed at providing timely and pertinent information to assist the police in crime reduction, prevention, and evaluation. Due to the lack of official data to produce the analysis, this project exploits the news articles published in online newspapers. The goal is to categorize the news articles based on the crime category, geolocate the crime events, detect the date of the event, and identify some features (e.g. what has been stolen during the theft). A Java application has been developed for the analysis of news articles, the extraction of semantic information through the use of NLP techniques, and the connection of entities to Linked Data. The emerging technology of Word Embeddings has been employed for the text categorization, while the Question Answering through BERT has been used for extracting the 5W+1H. The news articles referring to the same event have been identified through the application of cosine similarity to the shingles of the news articles' text. Finally, a tool has been developed to show the geolocalized events and provide some statistics and annual reports. This is the only project in Italy that starting from news articles tries to provide analyses on crimes and makes them available through a visualization tool.
Filali, Wassim. „Détection temps réel de postures humaines par fusion d'images 3D“. Toulouse 3, 2014. http://thesesups.ups-tlse.fr/3088/.
Der volle Inhalt der QuelleThis thesis is based on a computer vision research project. It is a project that allows smart cameras to understand the posture of a person. It allows to know if the person is alright or if it is in a critical situation or in danger. The cameras should not be connected to a computer but embed all the intelligence in the camera itself. This work is based on the recent technologies like the Kinect sensor of the game console. This sensor is a depth sensor, which means that the camera can estimate the distance to every point in the scene. Our contribution consists on combining multiple of these cameras to have a better posture reconstruction of the person. We have created a dataset of images to teach the program how to recognize postures. We have adjusted the right parameters and compared our program to the one of the Kinect
Ghorayeb, Hicham. „Conception et mise en œuvre d'algorithmes de vision temps-réel pour la vidéo surveillance intelligente“. Phd thesis, École Nationale Supérieure des Mines de Paris, 2007. http://pastel.archives-ouvertes.fr/pastel-00003064.
Der volle Inhalt der QuelleStanciu, Mihai Ionut. „Sur l'estimation aveugle de paramètres de signaux UWB impulsionnels dans un contexte de radio intelligente“. Brest, 2011. http://www.theses.fr/2011BRES2023.
Der volle Inhalt der QuelleThis thesis is concerned with the study of UWB systems which represent a promising perspective in low range radio systems field. UWB technology is best suited to be used within ad-hoc Piconet radio networks, which must dispose of high flexibility. Consequently this thesis is focused on one hand on the development of very low complexity parameters blind estimation methods, which can play an essential role in the synchronization stage, and on the other hand on the statistical characterization of the propagation channel, with the scope of establishing criteria to realize blind real time adjustments of the digital transmission. The study is organized in three main directions. The first consists of developing a method to estimate the chip time, based on noisy times of arrival measurements, with false and missing observations. The main problem with this approach is that the considered times of arrival statistical model cannot realistically reflect indoor UWB channels. Therefore a second direction is concerned with the development of a method to estimate the chip time based on energy measurements on the received UWB impulse radio signal. Using the well known energy detector principle this approach jointly estimates the chip time and this optimal integration window, the main advantage is that it allows considering propagation noise, multipath propagation and multiuser interference. The third direction deals with a statistical study of the multipath propagation interference of a UWB propagation channel
Ghozzi, Mohamed. „Détection cyclostationnaire des bandes de fréquences libres“. Phd thesis, Université Rennes 1, 2008. http://tel.archives-ouvertes.fr/tel-00355174.
Der volle Inhalt der QuelleDeux méthodes de détection sont envisageables. La détection d'énergie est une méthode simple, de complexité de calcul réduite et n'exigeant aucune information sur le signal à détecter, mais elle nécessite une connaissance exacte de la variance du bruit supposé blanc gaussien. La détection cyclostationnaire est plus robuste vis-à-vis des incertitudes d'estimation de la variance du bruit et capable de détecter des signaux à faibles RSB. Nous avons proposé deux algorithmes de détection cyclostationnaire. Dans le premier, la fréquence cyclique dans le signal est supposée connue, alors que dans le deuxième la cyclostationarité est détecté de manière aveugle. Cependant, pour minimiser le temps de détection des bandes libres, nous proposons une architecture hybride de détection combinant les détections d'énergie et cyclostationnaire.
Kobeissi, Hussein. „Eigenvalue Based Detector in Finite and Asymptotic Multi-antenna Cognitive Radio Systems“. Thesis, CentraleSupélec, 2016. http://www.theses.fr/2016SUPL0011/document.
Der volle Inhalt der QuelleIn Cognitive Radio, Spectrum Sensing (SS) is the task of obtaining awareness about the spectrum usage. Mainly it concerns two scenarios of detection: (i) detecting the absence of the Primary User (PU) in a licensed spectrum in order to use it and (ii) detecting the presence of the PU to avoid interference. Several SS techniques were proposed in the literature. Among these, Eigenvalue Based Detector (EBD) has been proposed as a precious totally-blind detector that exploits the spacial diversity, overcome noise uncertainty challenges and performs adequately even in low SNR conditions. The first part of this study concerns the Standard Condition Number (SCN) detector and the Scaled Largest Eigenvalue (SLE) detector. We derived exact expressions for the Probability Density Function (PDF) and the Cumulative Distribution Function (CDF) of the SCN using results from finite Random Matrix Theory; In addition, we derived exact expressions for the moments of the SCN and we proposed a new approximation based on the Generalized Extreme Value (GEV) distribution. Moreover, using results from the asymptotic RMT we further provided a simple forms for the central moments of the SCN and we end up with a simple and accurate expression for the CDF, PDF, Probability of False-Alarm, Probability of Detection, of Miss-Detection and the decision threshold that could be computed and hence provide a dynamic SCN detector that could dynamically change the threshold value depending on target performance and environmental conditions. The second part of this study concerns the massive MIMO technology and how to exploit the large number of antennas for SS and CRs. Two antenna exploitation scenarios are studied: (i) Full antenna exploitation and (ii) Partial antenna exploitation in which we have two options: (i) Fixed use or (ii) Dynamic use of the antennas. We considered the Largest Eigenvalue (LE) detector if noise power is perfectly known and the SCN and SLE detectors when noise uncertainty exists
Bücher zum Thema "Détection intelligente du crime"
Field Guide to Clandestine Laboratory Identification and Investigation. London: Taylor & Francis Inc, 2004.
Den vollen Inhalt der Quelle findenField Guide to Clandestine Laboratory Identification and Investigation. CRC, 2004.
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