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Статті в журналах з теми "Surveillance du conducteur":

1

Ligairi, Josua, Donald Wilson, and Isimeli Tukana. "Existing NCD Monitoring and Surveillance Systems and its adaptability to Fiji’s context: A Systematic Review." Pacific Health Dialog 21, no. 7 (June 22, 2021): 440–48. http://dx.doi.org/10.26635/phd.2021.101.

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Introduction: The United Nations high-level meeting of the General Assembly on the Prevention and Control of Non-communicable Diseases passed a political declaration on Non-Communicable Diseases (NCD) prevention and control in 2011, emphasizing the great need for NCD surveillance including in Low-to-Middle-Income-Countries (LMICs). Method: A review of literature was conducted and set for full text citations published in English dated 1 January, 2007 to 31 August 2019. MESH terms or key words were selected from the following groups of generic terms: the following words “Health surveillance systems” and “NCD monitoring and surveillance system”. The literatures were tabulated according to the authors, date that was published and which journal, the title of the study, the surveillance design and their recommendations. The 13 articles that were identified, only one was conducted in a developing country while the rest were conducted in high income countries. Results: 60% of the NCD surveillace system reviewed use passive surveillance, 30% uses passive assisted sentinel surveillance and 10% use passive assited spatial surveillance. Based on countries surveillance system there was an equal distribution on involvement in policy development (33%), behavioural risk associated aggregates (33%) and intergrated health information System (33%).Through intense review, passive assisted sentinel surveillance was mostly practiced and the use of spatial surveillace in this context for interregional comparisons of specified diseases. Conclusion: There was less evidence on surveillance in LMIC but the following surveillance systems were identified as essential for Fiji’s proposed NCD surveillance system. This study suggest that a probable surveillance system that can be adopted by Fiji is a passive assisted sentinel surveillance system enhanced with Spatial data. Further consultation and a feasibility study can be proposed as a way forward for this study findings.
2

Ciofi, Joy. "The Ambivalent Subject: Reconciling Contradictory Subjective Experiences of Surveillance." Surveillance & Society 18, no. 1 (March 16, 2020): 61–73. http://dx.doi.org/10.24908/ss.v18i1.12783.

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This article discusses the surveillant assemblage operating within the brandscape of two American mega–casinos and the ways in which the mechanisms of this surveillance impact the subjective experiences of older adults who frequent these facilities in retirement. Based on ethnographic fieldwork conducted at these sites from 2015 to 2017, I argue that these immersive and all-inclusive spaces deploy a variety of intensive surveillance methods to ensure profitability but largely avoid many of the negative associations that this level of surveillance engenders in other settings. Older adults present an especially interesting demographic when examining intensive surveillance. While they often benefit from increased oversight and security, they are generally opposed to accessing it through other institutions, such as assisted living or nursing facilities. This apparent contradiction produces ambivalent subjects who dislike the notion of intrusive surveillance but simultaneously appreciate the benefits it can convey. This paper contributes to the ongoing dialogue in surveillance studies about the complexities of surveillant subjects, as well as presents a new perspective on the attitudes of senior citizens towards institutionalized surveillance in private and public space.
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Narui, Koji, Norifumi Matsunaga, Norihisa Noguchi, Junichi Nojo, Takashi Tomizawa, Takayuki Ishii, Yuta Namiki, et al. "Microbial Surveillance Conducted for Infection Control at a Hospital." Iryo Yakugaku (Japanese Journal of Pharmaceutical Health Care and Sciences) 34, no. 5 (2008): 441–47. http://dx.doi.org/10.5649/jjphcs.34.441.

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4

Sugishita, Yoshiyuki, Yoshiko Somura, Nobuyuki Abe, Yasuko Murai, Yoshiaki Koike, Eriko Suzuki, Mayu Yanagibayashi, Aya Kayebeta, and Atsushi Yoshida. "Multi-source surveillance conducted by the Tokyo Metropolitan Government during the Tokyo 2020 Olympic and Paralympic Games." Western Pacific Surveillance and Response Journal 14, no. 3 (July 27, 2023): 58–67. http://dx.doi.org/10.5365/wpsar.2023.14.3.978.

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The Tokyo 2020 Olympic and Paralympic Games (the Games) were held from 23 July to 5 September 2021 in Tokyo, Japan, after a 1-year delay due to the coronavirus disease (COVID-19) pandemic. The Tokyo Metropolitan Government was responsible for monitoring and responding to infectious disease outbreaks other than COVID-19 during the Games. A multi-source surveillance system was used from 1 July to 12 September 2021 for the early detection and rapid response to infectious diseases. This included routine notifiable disease surveillance, sentinel surveillance, syndromic surveillance, cluster surveillance, ambulance transfer surveillance and the Tokyo Infectious Alert system. Daily reports were disseminated summarizing the data collected from the multi-source surveillance system. No case of infectious disease under the Tokyo Metropolitan Government system required a response during the Games. The multi-source surveillance was useful for providing intelligence during the Games and, if required, could contribute to the early detection and rapid response to outbreaks during other mass gatherings. The system could be improved to overcome the challenges implied by the findings of this multi-source surveillance.
5

Lejeune, Mathias. "USA: State secrets privilege and electronic surveillance conducted under FISA." Computer Law Review International 23, no. 2 (April 1, 2022): 46–50. http://dx.doi.org/10.9785/cri-2022-230204.

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6

Ramos, Luma, and Kevin P. Gallagher. "The IMF COVID-19 Surveillance Monitor." Global Governance: A Review of Multilateralism and International Organizations 28, no. 4 (December 21, 2022): 562–86. http://dx.doi.org/10.1163/19426720-02804004.

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Abstract Promoting stability is a core component of the International Monetary Fund (IMF) surveillance’s mandate. The Covid-19 pandemic hit almost every country worldwide. This article evaluates whether and how the IMF surveillance documents in the aftermath of the health and economic crisis have identified risks and mitigation measures to improve health outcomes, protect vulnerable people and firms, and address climate change. Through the IMF COVID-19 Surveillance Monitor, a textual analysis index, the authors found that these issues received relatively little attention in Article IV consultations in 2019, with fiscal issues dominating the discussion. However, the consultations conducted in 2020 show some timely incremental shifts and more attention toward health systems and protecting vulnerable matters. While climate change has become a key part of senior IMF official narratives, it has not had a significant presence in surveillance activities. The techniques and indices developed here can help the IMF improve its surveillance policy.
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Nepal, Rajeev M., Stephane B. Dion, Ana Gabriela Grajales, Maria Major, Alejandro Cane, and Jelena Vojicic. "911. Assessment of Representativeness of IPD Surveillance Conducted by the National Microbiology Laboratory of Canada." Open Forum Infectious Diseases 7, Supplement_1 (October 1, 2020): S490. http://dx.doi.org/10.1093/ofid/ofaa439.1099.

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Abstract Background Understanding the evolving epidemiology of Streptococcus pneumoniae serotypes is important for assessing the current and potential future immunization programs. In Canada, Invasive pneumococcal disease (IPD) is mandatory reportable to provincial/territorial public health. Provinces and territories voluntarily submit annual IPD data to the Canadian Notifiable Disease Surveillance System (CNDSS), which publishes information on IPD cases and incidence rates, however serotype data are not available. Provinces/territories also voluntarily submit IPD isolates to the National Microbiology laboratory (NML) for serotyping; provinces that conduct their own serotyping submit this information. The NML produces comprehensive IPD surveillance reports including serotype distribution; due to lack of population denominator, no incidence rates are available. The two surveillance programs are not linked. The objective of the study is to assess the representativeness of the NML surveillance as compared to the CNDSS and provincial reportable diseases databases. Methods Over the study time period (2010-2017), we compared annual IPD case counts between the NML and CNDSS reports. Due to the difference in age grouping between CNDSS and NML, comparison was limited to these groups: all age, < 5, 5-14 and > 15 years. In addition, the IPD counts from NML were compared to data from four largest provinces. Results For < 5 group, NML reported 91% of CNDSS case count whereas for 5-14 and > 15 years of age, it was 81% and 79%, respectively. Compared to the corresponding provincial databases, NML reported 91%, 97%, and 93% case counts for Ontario, British Columbia, and Alberta, respectively, while it was only 47% for Quebec. Further analysis revealed that the discrepancy in Quebec is the result of under-representation of >5 populations. Figure 1: Comparison of age stratified IPD case counts between CNDSS and NML Figure 2. Comparison of all age IPD case counts between NML and provincial databases Conclusion IPD surveillance conducted by NML has been instrumental to gain insight into the evolving epidemiology of S. pneumoniae serotypes in Canada. Comparisons of IPD counts from NML surveillance reports with reportable disease databases revealed different levels of concordance across provinces and age groups. The limitations of NML surveillance including incomplete or inconsistent reporting should be taken into consideration when interpreting the data. Disclosures Rajeev M. Nepal, PhD, Pfizer (Employee) Stephane B. Dion, PhD, Pfizer (Employee) Ana Gabriela Grajales, MD, Pfizer (Employee) Maria Major, B.Sc., MPH, Pfizer (Employee) Alejandro Cane, MD, Pfizer (Employee) Jelena Vojicic, MD, Pfizer (Employee)
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Muranaka, Hiroki, Mamoru Amemiya, and Kimihiro Hino. "Evaluation of crime prevention measures to increase surveillance conducted by local municipalities." Journal of the City Planning Institute of Japan 53, no. 3 (October 25, 2018): 1537–43. http://dx.doi.org/10.11361/journalcpij.53.1537.

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9

Ivanova, Valeria T., Elena I. Burtseva, Anatoly N. Slepushkin, Larisa V. Kordyukova, Tatyana A. Oskerko, Elena S. Shevchenko, Irina Yu Filippova, and Yulia V. Zagorskaya. "Influenza surveillance in Russia conducted by Center of Influenza Ecology and Epidemiology." International Congress Series 1263 (June 2004): 284–87. http://dx.doi.org/10.1016/j.ics.2004.02.154.

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Freeman, Jacob L., Ascher B. Kaufmann, Richard G. Everson, Franco DeMonte, and Shaan M. Raza. "Evidence-Based Optimization of Post-Treatment Surveillance for Skull Base Chordomas Based on Local and Distant Disease Progression." Operative Neurosurgery 16, no. 1 (April 18, 2018): 27–36. http://dx.doi.org/10.1093/ons/opy073.

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Abstract BACKGROUND There are no guidelines regarding post-treatment surveillance specific to skull base chordomas. OBJECTIVE To determine an optimal imaging surveillance schedule to detect both local and distant metastatic skull base chordoma recurrences. METHODS A retrospective review of 91 patients who underwent treatment for skull base chordoma between 1993 and 2017 was conducted. Time to and location of local and distant recurrence(s) were cataloged. Existing chordoma surveillance recommendations (National Comprehensive Cancer Network [NCCN], London and South East Sarcoma Network [LSESN], European Society for Medical Oncology [ESMO], Chordoma Global Consensus Group [CGCG]) were applied to our cohort to compare the number of recurrent patients and months of undiagnosed tumor growth between surveillances. These findings were used to inform the creation of a revised imaging surveillance protocol (MD Anderson Cancer Center Chordoma Imaging Protocol [MDACC-CIP]), presented here. RESULTS Thirty-four patients with 79 local/systemic recurrences met inclusion criteria. Mean age at diagnosis and follow-up time were 45 yr and 79 mo, respectively. The MDACC-CIP imaging protocol significantly reduced the time to diagnosis of recurrence compared with the LSESN and CGCG/ESMO imaging protocols for surveillance of local disease with a cumulative/average of 576/16.9 (LSESN), 336/9.8 (CGCG), and 170/5.0 (MDACC-CIP) months of undetected growth, respectively. The NCCN and MDACC-CIP guidelines for distant metastatic surveillance identified a cumulative/average of 65/6.5 and 51/5.1 mo of undetected growth, respectively, and were not significantly different. CONCLUSION The MDACC-CIP for skull base chordoma accounts for recurrence trends unique to this disease, including a higher rate of leptomeningeal spread than sacrococcygeal primaries, resulting in improved sensitivity and prompt diagnosis.

Дисертації з теми "Surveillance du conducteur":

1

Savard, Laurence. "Surveillance de la vision des conducteurs professionnels en médecine du travail." Montpellier 1, 1991. http://www.theses.fr/1991MON11026.

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2

Lauffenburger, Jean-Philippe. "Contribution à la surveillance temps-réel du système "Conducteur - Véhicule - Environnement" : élaboration d'un système intelligent d'aide à la conduite." Phd thesis, Université de Haute Alsace - Mulhouse, 2002. http://tel.archives-ouvertes.fr/tel-00732949.

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Le sujet de cette thèse vise l'intégration dans une automobile de fonctions d'observation, de supervision, d'aide à la décision ou encore de commande. La problématique est le développement d'une assistance à la conduite longitudinale et latérale basée sur la localisation du véhicule. Le but est de signaler et corriger les faiblesses de conduite en considérant les paramètres du véhicule, du conducteur et la topologie de la route. Selon la localisation du véhicule, une trajectoire de référence et la vitesse associée sont déterminées en fonction du conducteur et de la phase de conduite. Ces références sont utilisées pour effectuer le contrôle du véhicule ou pour informer le conducteur de l'inadéquation de ses consignes.
Dans ce contexte, la localisation du véhicule et particulièrement les informations de l'environnement d'évolution doivent être pertinentes. Elles sont obtenues grâce à une base de données cartographique spécifiquement développée dans le cadre de ces travaux. Celle-ci est caractérisée par une précision supérieure à celle des bases de données traditionnellement employées dans des dispositifs de navigation.
3

Cara, Hervé. "Conception d'un dispositif pour la détection automatique des premières variations du niveau de vigilance du conducteur au volant de son véhicule : capteur non-contraignant et électronique associée." Vandoeuvre-les-Nancy, INPL, 1992. http://www.theses.fr/1992INPL010N.

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Actuellement, il n'existe pas de moyen non-contraignant et suffisamment fiable pour détecter automatiquement les premières variations du niveau de vigilance d'un conducteur au volant de son véhicule. Cette étude est centrée sur la détermination d'un paramètre physiologique "la régularité du rythme respiratoire" pour prédire l'assoupissement dans la ou les deux minutes qui le précèdent. Les tests en laboratoire de sommeil ont permis de constater que l'activité électro¬encéphalographique spécifique de l'endormissement est précédée de la régularisation de la fréquence respiratoire. Outre les tests d'expérimentations médicales, ce mémoire présente l'lectronique inhérente à la chaîne d'acquisition et de traitement du signal représentatif des variations de l'impédance thoracique: capteur, signal utile et critères de détection. Ensuite, ce mémoire expose. Les résultats des tests de validation du dispositif de détection et les tests en situation réelle de conduite automobile
At the present time, there is no strainless and reliable mean to automatically detect the first variations of vigilance- state of a vehicule driver. This study is based upon the determination of the physiological parameter (breathing rhythm regularity) to predict sleeping one or two minutes before it occurs. Tests in a leepinglaboratory have pointed out that the EEG activity, during the early sleeping phase is characterized by a breathing rhythm regularization. Besides, this study deals with aH associated electronics of the data acquisition and processing device to seize the signal of thoracic impedance criterions : sens or, useful signal and detection criterions. After that, this report presents the results of the validation tests of detection device and the tests in real condition
4

Gonzalez-Mendoza, Miguel. "Surveillance temps-réel des systèmes Homme-Machine. Application à l'assistance à la conduite automobile." Phd thesis, INSA de Toulouse, 2004. http://tel.archives-ouvertes.fr/tel-00336732.

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Ce travail se situe dans le cadre de la surveillance de systèmes homme-machine, où l'opérateur humain est un élément de décision dans la boucle. Ce type de systèmes nécessite une surveillance automatisée globale temps-réel, incluant la détection d'incidents techniques et de défaillances humaines. Partant de l'hypothèse que la partie technologique travaille " correctement " et/ou qu'elle est surveillée par un système de diagnostic, nous nous centrons sur la partie opérateur humain, la plus critique à surveiller. Nous présentons un système de diagnostic appliqué à la surveillance du conducteur automobile à partir d'informations fournies par des capteurs embarqués dans le véhicule. Les travaux ont été développés dans le cadre du projet Européen AWAKE et le projet national " facteurs de dégradation de la vigilance et de la sécurité dans les transports " de PREDIT.
Nous proposons une stratégie générale de système temps-réel pour la surveillance du niveau de vigilance du conducteur (dynamique lente) et la surveillance du niveau de risque lié à la situation actuelle de conduite (dynamique instantanée), à travers :
* L'analyse temporelle et fréquentielle des signaux mécaniques (mesures de performance) par ondelettes et filtres, pour en extraire des caractéristiques dynamiques, statistiques et fréquentielles sur la dégradation de la conduite,
* L'apprentissage par SVM, méthode pour laquelle nous avons développé des stratégies d'implémentation adaptées pour un apprentissage en ligne et pour des problèmes de grande taille,
* La fusion par FIS, afin de profiter de l'expertise humaine et produire un diagnostic sur le niveau de risque lié à la sortie de la voie de circulation.
* La validation d'une telle approche à travers des EEG et EOG (mesures physiologiques) et des autoévaluations (mesures subjectives).
Nous appliquons cette méthodologie à diverses expériences des programmes AWAKE et PREDIT réalisées sur des simulateurs ou des démonstrateurs.
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Hamieh, Salam. "Utilisation des méthodes de détection d'anomalies pour l'informatique affective." Electronic Thesis or Diss., Université Grenoble Alpes, 2024. http://www.theses.fr/2024GRALT017.

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Les récentes avancées technologiques ont ouvert la voie à l'automatisation dans divers secteurs. Cela a conduit à un intérêt croissant pour le développement de modèles d'apprentissage automatique pour la reconnaissance et l'interprétation des émotions. Néanmoins, l'évaluation informatisée efficace des états affectifs et mentaux est confrontée à plusieurs défis importants, notamment la difficulté d'obtenir des données suffisantes, la complexité de l'étiquetage et la complexité de la tâche. Une solution à ces défis réside dans le domaine de la détection d'anomalies, qui a démontré son importance dans de nombreux domaines. Cette thèse est consacrée à la résolution des défis multiples dans le domaine de l'informatique affective en tirant parti de la puissance des méthodes de détection d'anomalies. L'un des principaux défis abordés est la rareté des données, un problème omniprésent lorsque l'on s'efforce de construire des modèles d'apprentissage automatique capables d'identifier avec précision des états mentaux rares. Nous étudions les méthodes de détection des anomalies dans deux applications critiques : La détection des distractions visuelles et la prédiction des rechutes psychotiques. Ces scénarios représentent des états exigeants et parfois périlleux pour la collecte de données dans des contextes réels. L'étude comprend une exploration complète des modèles traditionnels et des modèles basés sur l'apprentissage profond, démontrant le succès de ces méthodes pour surmonter les défis posés par les ensembles de données déséquilibrés. Cette réussite laisse entrevoir la possibilité d'applications plus larges à l'avenir, qui nous aideront à mieux comprendre et traiter les états mentaux et affectifs rares et difficiles à collecter dans divers domaines où il n'est pas possible d'obtenir des données suffisantes. En outre, cette recherche aborde le défi de l'inter-variabilité entre les individus dans le domaine des états affectifs, en particulier dans le contexte des patients souffrant de rechute psychotique. L'étude fournit une analyse comparative, explorant les forces et les limites des modèles globaux et personnalisés. Cependant, en utilisant la détection des anomalies, il devient possible d'utiliser les données d'un individu pour modéliser ses habitudes de santé et détecter les anomalies lorsque ces habitudes s'écartent de la norme. Les résultats soulignent l'importance de la personnalisation comme moyen d'améliorer la précision des modèles, en particulier dans les scénarios caractérisés par une inter-variabilité importante entre les sujets. En outre, la complexité des ensembles de données non équilibrés est un autre thème de cette thèse. Elle explore les méthodes de sélection des caractéristiques adaptées à ces caractéristiques spécifiques des ensembles de données. En s'appuyant sur des techniques de pointe, y compris les autoencodeurs, la recherche propose de nouvelles stratégies pour relever les défis de la sélection des caractéristiques posés par les ensembles de données déséquilibrés dans des applications telles que la détection de la distraction visuelle et la prédiction de la rechute psychotique.Enfin, l'étude présente une nouvelle solution pour la fusion d'informations provenant de sources multiples, améliorant la précision prédictive dans l'informatique affective. Cette nouvelle approche incorpore un indicateur de difficulté innovant dérivé de l'erreur de reconstruction d'un autoencodeur. Le résultat est le développement de systèmes multimodaux de reconnaissance continue des émotions qui présentent des performances supérieures.Dans cette thèse, nous avons étudié diverses applications des méthodes de détection d'anomalies dans le domaine de l'informatique affective. Bien qu'il s'agisse d'étapes initiales démontrant le potentiel de nos approches proposées, elles jettent également les bases d'une exploration plus poussée de différentes applications et de leurs variations
Recent technological advancements have paved the way for automation in various sectors, from education to autonomous driving, collaborative robots, and customer service. This has led to an increasing interest in the development of machine learning models for emotion recognition and interpretation. Nonetheless, the efficient computer-based assessment of affective and mental states faces several significant challenges, which include the difficulty of obtaining sufficient data, the intricacy of labeling, and the complexity of the task. One promising solution to these challenges lies in the field of anomaly detection, which has demonstrated its significance in numerous domains. This thesis is dedicated to addressing the multifaceted challenges in the field of affective computing by leveraging the power of anomaly detection methods.One of the key challenges addressed is data scarcity, a pervasive issue when striving to construct machine learning models capable of accurately identifying rare mental states. We study anomaly detection methods, utilizing unsupervised approaches in two critical applications: Visual Distraction Detection and Psychotic Relapse Prediction. These scenarios represent demanding and sometimes perilous states for data collection in real-world contexts. The study encompasses a comprehensive exploration of traditional and deep learning-based models, such as autoencoders, demonstrating the success of these methods in overcoming the challenges posed by unbalanced datasets. This success suggests the potential for wider applications in the future, which will help us better understand and deal with rare and hard-to-collect mental and affective states across various areas where obtaining sufficient data is not possible.Furthermore, this research addresses the challenge of inter-variability among individuals in the domain of affective states, particularly in the context of patients with psychotic relapse. The study provides a comparative analysis, exploring the strengths and limitations of both global and personalized models. Personalization is a solution to this challenge, although gathering sufficient personal data, especially for relapse situations, is challenging. However, by employing anomaly detection, it becomes feasible to use an individual's data to model their healthy patterns and detect anomalies when these patterns deviate from the norm. The findings underscore the significance of personalization as an avenue for enhancing the precision of models, especially in scenarios characterized by substantial inter-variability among subjects.Moreover, the complexity of unbalanced datasets is another focus of this thesis. It explores feature selection methods tailored to address these specific dataset characteristics. By leveraging state-of-the-art techniques, including autoencoders, the research advances novel strategies for addressing feature selection challenges posed by unbalanced datasets in applications such as Visual Distraction Detection and Psychotic Relapse Prediction.Finally, the study introduces a novel solution for information fusion from multiple sources, enhancing predictive accuracy in affective computing. This novel approach incorporates an innovative difficulty data indicator derived from an autoencoder's reconstruction error. The outcome is the development of multimodal continuous emotion recognition systems that exhibit superior performance. This approach is studied using the ULM TSST dataset for predicting arousal and valence among participants in stress-induced situations.In this thesis, we investigated various applications of anomaly detection methods in affective computing domain. While these are initial steps showcasing the potential of our proposed approaches, they also lay the groundwork for further exploration in different applications and their variations
6

Bugeau, Aurélie. "Détection et suivi d'objets en mouvement dans des scenes complexes, application a la surveillance des conducteurs." Phd thesis, Université Rennes 1, 2007. http://tel.archives-ouvertes.fr/tel-00551601.

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De nombreuses applications en vision par ordinateur nécessitent la détection et le suivi des objets en mouvement dans une séquence d'images. La plupart des méthodes existantes ne donnent de bons résultats que pour des séquences avec des fonds peu changeants, ou si le fond et les objets sont rigides. Le but de cette thèse est de détecter et suivre les objets mobiles dans des séquences (telles que des séquences de conducteurs) ayant un fond dynamique, avec de forts changements d'illumination, de faibles contrastes et éventuellement acquises par une caméra mobile. Cette thèse est décomposée en deux parties. Dans la première, une méthode de détection est proposée. Elle repose sur la définition d'une grille de points décrits par leur mouvement et leur photométrie. Ces points sont ensuite regroupés en "clusters en mouvement" avec un algorithme mean shift à noyau variable et une méthode de sélection automatique de la taille des noyaux. La deuxième partie propose une méthode de suivi combinant des distributions de couleur et de mouvement, la prédiction de l'objet et des observations extérieures (pouvant être les clusters en mouvement) dans une fonction d'énergie minimisée par coupe minimale/flot maximal dans un graphe. Les algorithmes de détection et de suivi sont validés sur différentes séquences aux contenus dynamiques complexes.
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Bugeau, Aurélie Pérez Patrick. "Détection et suivi d'objets en mouvement dans des scènes complexes application à la surveillance des conducteurs /." [S.l.] : [s.n.], 2007. ftp://ftp.irisa.fr/techreports/theses/2007/bugeau.pdf.

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Bugeau, Aurélie. "Détection et suivi d'objets en mouvement dans des scènes complexes : application à la surveillance des conducteurs." Rennes 1, 2007. ftp://ftp.irisa.fr/techreports/theses/2007/bugeau.pdf.

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De nombreuses applications en vision par ordinateur nécessitent la détection et le suivi d'objets en mouvement dans une séquence d'images. Le but de cette thèse est de détecter et suivre les objets mobiles dans des séquences ayant un fond dynamique, avec de forts changements d'illumination, de faibles contrastes et éventuellement acquises par une caméra mobile. Cette thèse est décomposée en deux parties. Dans la première, une méthode de détection est proposée. Elle repose sur la définition d'une grille de points décrits par leur mouvement et leur photométrie. Ces points sont ensuite regroupés en "clusters en mouvement" avec un algorithme mean shift à noyau variable et une méthode de sélection automatique de la taille des noyaux. La deuxième partie propose une méthode de suivi combinant des distributions de couleur et de mouvement, la prédiction de l'objet et des observations extérieures (pouvant être les clusters en mouvement) dans une fonction d'énergie minimisée par coupe minimale/flot maximal dans un graphe
Detecting and tracking moving objects in dynamic scenes is a hard but essential task in a large number of computer vision applications such as surveillance. This thesis aims at detecting, segmenting and tracking foreground moving objects in sequences (such as driver sequences) having highly dynamic backgrounds, illumination changes and low contrasts, and possibly shot by a moving camera. Two main steps compose the thesis. First, moving points, described by their motion and color, are selected within a sub-grid of image pixels. Clusters of points are then formed using a variable bandwidth mean shift with automatic bandwidth selection. In a second part, a tracking method is proposed. It combines color and motion distributions, the prediction of the tracked object and some external observations (which can be the clusters from the detector) into an energy function minimized with Graph Cuts
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Rostami, Hamideh. "Equipment Behavior Modelling for Fault Diagnosis and Deterioration Prognosis in Semiconductor Manufacturing." Thesis, Lyon, 2018. http://www.theses.fr/2018LYSEM028.

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Les défauts de production dus aux variations dans le processus de fabrication et aux pannes inattendues des équipements rendent difficile la conservation d'un rendement élevé de production dans l'industrie de fabrication de semi-conducteurs. l'objectif de ce travail de thèse est de proposer un pronostic efficace du comportement des équipements ainsi qu'un diagnostic des pannes dans le processus de fabrication de semi-conducteurs. avec des capteurs plus performants, des proches efficaces basées sur des données sont proposées pour le pronostic et le diagnostic. pour le diagnostic, cette recherche applique d'abord la méthode de machines `a vecteurs de support (support vector machine) pour détecter les anomalies constatées dans les observations. la dynamique du processus normale est ensuite décomposée en différentes groupes par la méthode de partitionnement `a k -moyennes. l'analyse en composantes principales (acp) est utilisée pour modéliser chaque partie de la dynamique du processus. les empreintes de défaut peuvent enfin être extraites en consolidant les scénarios hors contrôle après avoir projeté les anomalies dans les modèles acp. en pronostic, une approche de modélisation et de surveillance de la dégradation des équipements pour le processus de fabrication par lots est développée avec deux objectifs : exploiter les données temporelles de détection et classification des fautes (fdc) pour caractériser le comportement des équipements et modéliser la tendance de détérioration avec les causes potentielles. la transformation en ondelettes discrète (dwt) décompose les données temporelles en composantes d'approximation détaillées afin de détecter deux types de détérioration provoquée par des variations au niveau macro et micro. les résultats montrent que les approches proposées permettent de prédire efficacement le comportement des équipements et de diagnostiquer la défaillance avec les causes premières
Moving toward advanced technologies requires the modern industries, in particular, the semiconductor, to keep their equipment at a high utilization level and lowenvironmental risk. production deficiencies such as process variations and unexpected equipment breakdowns have made it difficult (if not impossible) to stay at high-grade product yield and significant equipment utilization. in this thesis, the aim is to propose efficient equipment behavior prognosis, and equipment failure diagnosis approaches in batch manufacturing processes that are pervasive modes in today's semiconductor fab. with the advancement of sensor information technology, efficient data-driven approaches are proposed for both prognostic and diagnostic purposes. in the fault diagnosis, this research firstly applies the support vector machine (svm) classifier to detect the abnormal observations. the normal process dynamics are then decomposed into different clusters by k-means clustering. principal component analysis (pca) is used to model each part of the process dynamics. fault fingerprints can be extracted finally by consolidating the out of control scenarios after projecting the abnormal observations into the pca models. in prognostics, an equipment deterioration modeling and monitoring approach for batch processes is developed with two aims: exploiting the temporal fdc (fault detection and classification) data to characterize the equipment behavior and modeling the deterioration trend with the potential causes. by using the discrete wavelet transformation (dwt), the temporal data are decomposed into approximation and detail components to detect two types of deterioration caused by macro- and micro-level variations. several scenarios of case studies are conducted based on the practical dataset provided by a local IC maker. the results show that the proposed approaches can effectively prognose the equipment behavior and diagnose the equipment failure with the correct causes
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Paris, Jean-Christophe. "Ingénierie cognitive pour l'aide à la conduite automobile de la personne âgée : analyse et modélisation de l'activité de conduite en situation naturelle pour la conception de fonctions de monitorage." Thesis, Bordeaux, 2014. http://www.theses.fr/2014BORD0425/document.

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Cette thèse en Cognitique se focalise sur la « Conception Centrée sur l'Humain » (Human Centred Design) de futures assistances à la conduite automobile, adaptées aux conducteurs âgés (ou Elderly Adapted Driver Assistance Systems).Pour ce faire, la démarche proposée repose sur une approche et une méthodologie pluridisciplinaire. Sur le plan ergonomique, il s'agit de mieux connaître les spécificitésde la population des conducteurs âgés, dans le but d'identifier des difficultés et des besoins en assistance. A cette fin, 76 conducteurs âgés (de 70 à 87 ans) ont conduitun véhicule instrumenté, immergé dans le trafic. Le corpus de données comporte2100 kilomètres de conduite et 1400 situations de conduite autoévaluées par lesconducteurs, complétés par 6 Focus Group (30 conducteurs âgés).Le second volet, relevant d'une démarche d'Ingénierie Cognitive, vise à concevoir et développer des fonctions de « monitorage » à partir du corpus de données. L'objectif est de disposer de modèles et de fonctions d'analyse temps-réel capables (1) de superviser l'activité de conduite des conducteurs âgés (2) en regard du contexte ou des risques situationnels, afin de (3) diagnostiquer des difficultés ou erreurs de conduite, à des fins d’adaptativité des assistances. Des fonctions de monitorage en lien avec les contrôles de base du véhicule (gestion de la vitesse, positionnement dans la voie et la gestion de l'espace inter-véhiculaire avant) sont développées. Sur cette base, des fonctions de monitorage plus intégrées pour l'aide aux franchissements d'intersections (Tourne-à-Gauche) et l'assistance à l'insertion sur voies rapides (et au changement de voie) sont également proposées
This thesis in Cognitics presents a Human Centered Design approach for thedevelopment of future driving assistance systems dedicated to elderly drivers orElderly Adapted Driver Assistance Systems (E-ADAS).To do so, this work relies on a multi-disciplinary approach for data collection andanalysis. Regarding Ergonomics, the aim is to better understand the specificrequirements of this population in order to identify their actual difficulties and actualneeds of assistance. In this frame, 76 drivers (aged from 70 to 87 years old) took partto an on-the-road experiment, driving an instrumented car. The dataset includes2100 km of ecological driving data and 1400 auto-evaluated driving situations,completed by 6 Focus Groups (involving 30 elderly drivers).The second part of this research, relying on Cognitive Engineering, explores thedesign and implementation of monitoring functions based on the aforementioneddataset. The objective is to have real-time models and analytical functions, able to:(1) supervise the driving activity as realized by an elderly driver, (2) taking in toconsideration the driving context or situational risks (3) in order to detect difficulties ordriving errors. Beyond this thesis, these diagnostics will have to be integrated inassistive systems to better adapt their support to the specific needs of elderly drivers.Specific monitoring functions related to basic vehicle control (speed management,lane positioning and headway regulation) are presented. Based on these results,integrated monitoring functions for intersection crossings in Left-Turn manoeuver,highway merging assistance, and, more broadly, lane change assistance areintroduced

Книги з теми "Surveillance du conducteur":

1

Canada. Indian and Northern Affairs Canada. Report on federal science conducted in support of northern energy development, 2002-2010. Ottawa: Indian and Northern Affairs Canada, 2011.

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D, Assey V., and Shirika la Chakula Bora Tanzania., eds. Monitoring of iodated salt at community level in Tanzania: Proceedings of training seminars conducted to primary schoolteachers to establish of [sic] surveillance system of salt at community level in 18 IDD endemic districts in January-May 2002. [Dar es Salaam]: Tanzania Food and Nutrition Centre, 2002.

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3

United States. Congress. House. Committee on the Judiciary. Directing the Attorney General to submit to the House of Representatives all documents in the possession of the Attorney General relating to warrantless electronic surveillance of telephone conversations and electronic communications of persons in the United States conducted by the National Security Agency: Adverse report togetner with dissenting views (to accompany H. Res. 643). [Washington, D.C: U.S. G.P.O., 2006.

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4

Influenza and Other Respiratory Viruses: Surveillance in the Americas 2019. Organización Panamericana de la Salud, 2020. http://dx.doi.org/10.37774/9789275122785.

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This third edition of the landscape analysis of Influenza and Other Respiratory Viruses: Surveillance in the Americas provides regional and country-specific data that is used and valued by forums in the Region and beyond.Data of regional trends include surveillance of severe acute respiratory infection (SARI), influenza-like illness (ILI), influenza vaccine, FluNet/FluID reporting, and participation in WHO’s External Quality Assessment Project (EQAP). The second half of the report presents country-specific data on sociodemographic indicators, surveillance systems, virologic analysis, laboratory capacity, and trends in human-animal interface (HAI). To strengthen the Region’s surveillance abilities, it is important to understand the current capacity of each country and the issues in that country that need attention. Similarly, to assess progress over time, it is necessary to document regional trends. Because several indicators had changed since the last analysis was published, PAHO conducted an extensive survey to collect and compile additional, varied, and detailed data. This report illustrates the complexities in surveillance of influenza and other respiratory viruses and highlights differences in the countries’ preparedness capacities through charts, infographics, tables, and brief narratives.
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Wong, Wilson W. S., and James Fergusson, eds. Military Space Power. Praeger, 2010. http://dx.doi.org/10.5040/9798400686009.

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This handbook examines the militarization of space, providing a fair and balanced discussion of the emerging issues concerning space security and defense. The militarization of space is already underway, with unpredictable consequences for the way war will be conducted in the future.Military Space Power: A Guide to the Issuesexamines the militarization of space from historical, technological, and geopolitical angles. It traces space militarization from concepts proposed before World War II through the use of space for military surveillance and communications purposes to the actual deployment of weapons that pass through high-altitude space, such as ballistic missiles and nuclear-armed interceptors. The book focuses on the main space pioneers like the United States, Russia, and China, but also includes discussion of potential future players. It looks at the state of current space technology, but also projects how recent inventions or new discoveries might be weaponized for the space environment. And it analyzes how the militarization of space might influence international relations. The result is a fair and balanced discussion of the emerging issues concerning space security and defense.
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Wich, Serge A., and Lian Pin Koh. Conservation Drones. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198787617.001.0001.

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In this book, we introduce the use of drones for wildlife conservation. We provide a broad overview of when drone technology can be useful for wildlife conservation before going into the different types of drones that are available and the basic configuration of such systems. After this we discuss the various types of sensors that are being used to obtain data and the various applications for those sensors by us and others. We discuss the various applications of sensors and discuss research that we and others have conducted with those. The usage of drones for surveillance is discussed as well with a particular focus on poaching and other illegal activities. Drones are commonly used for mapping areas and we provide an overview of considerations for mapping missions as well as on how to process the data collected during mapping missions into products. We discuss examples such as the creation of orthomosaics and digital surface models, and their use in land cover classification and for object detection. We also provide an overview of how drones have been used to count animals and derive distribution and density from such data. We end with some thoughts on the future of drones.
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Profile of Capacity and Response to Noncommunicable Diseases and Their Risk Factors in the Region of the Americas: Country Capacity Survey Results, 2017. Pan American Health Organization, 2021. http://dx.doi.org/10.37774/9789275122600.

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Noncommunicable diseases (NCDs) are the leading cause of death in the Americas, accounting for 81% of all deaths in the Region in 2016. Of the estimated 5.5 million NCD-related annual deaths, 39% of these are premature deaths (occurring between the ages of 30–70) and are largely a result of the four main NCDs: cardiovascular diseases, diabetes, cancers, and chronic respiratory diseases. NCDs and related premature deaths can be significantly reduced through government policies that prevent, treat, and control these diseases. To monitor countries’ capacities to address NCDs, including progress and trends over time, various tools are implemented, including the World Health Organization Country Capacity Survey (WHO-CCS). The survey captures information related to NCD infrastructure, policies, surveillance, and health systems. Conducted in 2001, 2005, 2010, 2013, and in 2017, this 6th edition of the CCS incorporates new validation processes to verify country responses through the submission of official policy documents and a data comparison to global health databases. These protocols were introduced to enhance data quality and provide an accurate reflection of the country capacity to combat NCDs. It is important to recognize that for the first time in the Americas, 100% of the Member States (35 countries) and 76% of the Associate Members and Participating States (13 of 17 countries) completed the survey. As such, the 2017 CCS provides a comprehensive assessment of the entire Region and demonstrates the political commitment of the Americas to reduce the burden of NCDs. This report presents results of the 2017 CCS and offers an updated review of progress in the Region of the Americas including gaps and recommendations for improvement to strengthen countries’ capacities to address NCDs and their risk factors. While advancements have been made, without an acceleration of commitments and significant investments, it is anticipated that some countries in the Americas will not meet their global targets.

Частини книг з теми "Surveillance du conducteur":

1

Aenishaenslin, Cécile, Sara Babo Martins, and Katharina D. C. Stärk. "Surveillance and response conducted in a one health context." In One Health: the theory and practice of integrated health approaches, 102–17. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789242577.0102.

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2

Porter, C. R., J. A. Broadway, and B. Kahn. "Methodology for Surveillance of the Food Chain as Conducted by the United States." In Radionuclides in the Food Chain, 302–22. London: Springer London, 1988. http://dx.doi.org/10.1007/978-1-4471-1610-3_22.

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3

Simon, Clarissa D., and Craig F. Garfield. "Steps in Developing a Public Health Surveillance System for Fathers." In Engaged Fatherhood for Men, Families and Gender Equality, 93–109. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75645-1_5.

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AbstractIncluding the voice of the father in research related to fathering is essential. This chapter describes efforts to establish a new public health surveillance for fathers in the United States. The ultimate goal of this research is to study fatherhood to support healthy child development by collecting valuable information on father health and experiences in the perinatal period. Understanding fathers is key to learning about and improving family health, since fathers impact mothers and babies’ health. Studying the health of fathers during the transition to fatherhood can also provide a window into the overall health status of men, expanding the field of public health to include more specifics on the health of fathers and their impact on families. Currently surveillance systems are lacking in including the fathers’ perspective in measurement of paternal health and the transition to fatherhood. To address these issues we utilized a multi-pronged approach to inform development of a public health surveillance system for fathers: (1) review of the current literature to identify gaps in knowledge on the role of fatherhood in male and family health and identify current national-level surveillance data on fathers; (2) assessed feasibility of identifying participants to implement a surveillance system for fathers; (3) conducted formative research to develop methodology; and (4) piloted a public health surveillance system called the Pregnancy Risk Assessment Monitoring System for Dads or “PRAMS for Dads.”
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Voo, Teck Chuan, and Ignacio Mastroleo. "Boundaries Between Research, Surveillance and Monitored Emergency Use." In Public Health Ethics Analysis, 65–84. Cham: Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-41804-4_4.

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AbstractResponses to outbreaks, epidemics and pandemics involves a heterogeneous set of activities that aim to address threats to public health. In addition to research, non-research activities, such as prevention and control interventions, and surveillance, are conducted. The boundaries between research and non-research responses can rapidly blur during a public health emergency such as the COVID-19 pandemic. There may be common elements between these types of activities, and they may draw on the same resources and infrastructure. Non-research activities, such as surveillance and emergency non-research use of unproven interventions, and research activities must all be undertaken in an ethical manner as components of emergency response. However, care is needed to distinguish between non-research public health activities and research, because research often has considerations and requirements for its ethical conduct which are distinct from non-research public health activities. Research aims to produce generalizable knowledge, and mechanisms such as participant consent and independent ethics review aim to ensure that the rights and interests of research participants are respected. Ensuring that research and non-research activities are appropriately distinguished can additionally promote proper coordination of such activities, and increase trust and social accountability in pandemic responses. Consequently, it is important to distinguish between these different activities on the basis of their primary aim, and to consider whether their implementation is justifiable, based on their aims and the relevant ethical framework for each type of activity, and how they are coordinated as part of the larger collective activity of emergency response and management. Complex questions arise about how the different stakeholders involved in decision-making should make valid and justifiable decisions about whether the response activity is research or non-research. The cases in this chapter invite consideration about how such decisions should be made, and their implications, in the context of applications to conduct retrospective research into the outcomes of emergency uses of unproven interventions outside clinical trials, and of characterising antibody-testing initiatives and systematic data collection activities as surveillance or research.
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Häkkinen, Annika, Johanna Viitanen, Kaisa Savolainen, Ville-Matti Mäkinen, Mia Siven, Tinja Lääveri, and Hanna M. Tolonen. "Closing the Loop for Controlled Substances Surveillance: A Field Study of the Usability and User Experience of an Integrated Electronic Narcotic Consumption." In Communications in Computer and Information Science, 93–109. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-59080-1_7.

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AbstractThe distribution and handling of controlled substances (CSs), i.e., narcotics, is strictly regulated to decrease the risk of abuse and drug diversion. In Finland, hospital pharmacies are mandated to keep records of CS distribution and consumption in healthcare through a labor-intensive paper-based process. After implementing a new electronic health record (EHR) system, a large university hospital started to streamline the process by transferring the CS documentation process from paper to digital format. Although the benefits of digital archiving, surveillance, and consumption monitoring are self-evident from the hospital pharmacy’s perspective the advantages at wards remain less explored. Therefore, our goal was to explore the usability and user experience (UX) of the recently implemented electronic narcotic consumption card (eNCC) solution built into the EHR system, and the related workflows of nurses, pharmacists, and physicians. The field study consisted of two parts and was conducted using observation, interviews, and survey methods in two wards. Our findings suggest that the digitalized process enables reliable real-time documentation of CSs and improves process efficiency, particularly for oral tablets and capsules. Considering diverse end-users’ perspectives is crucial when assessing the practical benefits of newly implemented digital solutions targeted at several healthcare professional groups. This approach enables a broader understanding of UX; supports development efforts, including usability improvements; and facilitates broader implementation. More research is needed to analyze the long-term impacts of the digital CSs’ consumption documentation workflow and surveillance at different healthcare units.
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Godart, Bruno. "Wilson Bridge in Tours." In Case Studies on Failure Investigations in Structural and Geotechnical Engineering, 113–27. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2023. http://dx.doi.org/10.2749/cs004.ch10.

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This chapter presents the forensic investigations conducted after the partial collapse of the Wilson Bridge on the Loire River in the city of Tours in France. It reviews several papers published in French after the collapse, intending to share the main lessons with the international community. The collapse of five piers and six arches among the fifteen arches of this old masonry bridge occurred in 1978 during a strong flood of the Loire River. The main causes concluded by the experts are a general scour emphasised by a significant lowering of the river bed due to material excavations, a local scour of the alluvions, and a washout of the sand between the wooden piles through the protective rockfill, which seems to have remained in place. These causes led to the destabilisation of the foundations of the piers. This event triggered the publication of the Technical Instruction for the Surveillance and Maintenance of Bridges (ITSEOA) in 1979 and the necessity to limit the extraction of materials in French rivers.
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Sood, Bulbul. "Investing in a Resilient and Responsive Healthcare System During COVID-19 Pandemic." In Health Dimensions of COVID-19 in India and Beyond, 27–52. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-7385-6_2.

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AbstractStrategies implemented by Jhpiego nationally and in 15 states of India to respond to the COVID- 19 emergency and to counter the devastating impact of the pandemic are discussed. By the time the nationwide lockdown was imposed in March, 2020, Jhpiego’s COVID-19 response strategy was in action. This strategy included strengthening the capacity of the health workforce, supporting the national and the state governments, and ensuring the continuation of essential health services including reproductive health services.Jhpiego mounted a swift multi-sectoral and multi-pronged program to provide technical support for enhancing the preparedness of the healthcare system across 15 states. Training and monitoring activities were conducted using virtual platforms. A decentralized approach was employed to co-design with the community local solutions for health problems. The thrust was on developing community-centered, community-owned, and community-driven programs. Digital technology, including tele-medicine and other innovative solutions, played a key part in these efforts. The program provided technical assistance for building a resilient healthcare system by strengthening governance mechanisms and facility-based preparedness, piloting an integrated disease surveillance system, enhancing the use of data to guide evidence-based decision-making, re-designing public health facilities, and setting-up rapid response teams which could be quickly mobilized to respond to crises.
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Driedger, S. Michelle, Gabriela Capurro, Cindy Jardine, and Jordan Tustin. "Opportunities and Perils of Public Consultation in the Creation of COVID-19 Vaccine Priority Groups." In Democratizing Risk Governance, 385–413. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-24271-7_14.

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AbstractThe management of any Public Health Emergency of International Concern (PHEIC), such as COVID-19, requires several strategies: public health surveillance and active testing of suspected cases, isolating those with the disease as well as their contacts, providing risk communication messaging for actions that people can adopt to protect themselves and their families, and distribution of available vaccines once approved. Anticipating scarcity in supply, the National Advisory Committee on Immunization, tasked with providing independent advice and recommendations on immunizations for the Public Health Agency of Canada, developed preliminary recommendations for prioritization of COVID-19 vaccines before any vaccines were even authorized for distribution in Canada. We explore in this chapter the mechanisms used to establish preliminary recommendations for COVID-19 vaccine priority groups, including different strategies for public and stakeholder engagement in those recommendations, and how three provinces made operational decisions to implement vaccine delivery within their jurisdiction. We highlight specific opportunities and challenges when the general public is engaged in evaluating prioritization recommendations, particularly when those who are consulted may not necessarily reflect the population diversity underlying equity considerations. We share public comments about COVID-19 vaccine priority groups from age-stratified (18–34 years; 35–54 years; 55 years and older) mixed-gender focus groups in Vancouver, Winnipeg, Toronto, and Ottawa, conducted in December 2020.
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Bozdağ, Çiğdem. "Digital Inclusion Through Distribution of iPads During the Covid19 Pandemic? A Participatory Action Research in a German Secondary School." In Palgrave Studies in Digital Inequalities, 129–46. Cham: Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-28930-9_7.

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AbstractThe research on digital inequalities today not only focuses on inequalities related to access, but also on digital skills and outcomes of digital media use (van Deursen AJ, Helsper EJ, The third-level digital divide: Who benefits most from being online? In: Communication and information technologies annual, Emerald Group Publishing Limited, 2015; Ragnedda M, The third digital divide: A Weberian approach to digital inequalities. Routledge, 2016). However, the access inequalities are still an issue that needs to be scrutinized even in the context of the developed countries especially in relation to quality and quantity of technology access and maintenance issues (Gonzales A, Inf Commun Soc 19:234–248, 2016; van Deursen AJ, Van Dijk JA, New Media & Society 21:354–375, 2019). Focusing on the case of the distribution of iPads for all students in primary and secondary schools in the state of Bremen during the Covid19 pandemic, this chapter discusses if and how hardware distribution projects can be successful for mitigating the digital inequalities among the young people. The presented analysis is based on a participatory action research project that was conducted in a secondary school that is based in a socioeconomically disadvantaged and culturally diverse school in Bremen. The empirical data that will be discussed here consists of participatory observations from January 2020 to April 2021 and three rounds of focus groups with the students. The chapter discusses how the iPad project was perceived by the students before and after the distribution of the iPads and how they were used for distance education during school closures. The chapter will argue that the project was successful for mitigating the immediate effects of school closures by helping the students to interact more with their teachers and structure their days better by following the school’s online classes. However, the students also raised serious concerns about the maintenance of the devices as well as the risks of surveillance by the teachers and the school administration.
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Reeve, Gordon R. "Injury Surveillance at Ford Motor Company." In Workplace Health Surveillance, 185–94. Oxford University PressNew York, NY, 2000. http://dx.doi.org/10.1093/oso/9780195128888.003.0017.

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Abstract There are several types of occupational injury surveillance. The most traditional approach is surveillance using viral records at the federal-or state-level. Many, but not all states require occupational injuries or illnesses to be reported as part of their public health reporting system that has historically focused on communicable diseases. Other systems try to capture all injuries seen at the emergency rooms in community-or statewide networks with information about the situation surrounding the injury event, including occupational factors. Finally, there is the surveillance conducted by the health and safety staff of a company as part of its routine operation or as part of a short-term research project conducted by university researchers.

Тези доповідей конференцій з теми "Surveillance du conducteur":

1

Hadi, F. "Significance Impact of State and Local Government Engagements in Overcoming Spill Cases due to Illegal Tapping." In Digital Technical Conference. Indonesian Petroleum Association, 2020. http://dx.doi.org/10.29118/ipa20-o-315.

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PT Chevron Pacific Indonesia (PT CPI) operates the Rokan block with 13,000 km pipeline length in Riau province. Oil theft attempts through illegal tapping is one of the challenges in operating Rokan block. PT CPI experienced 16 spill cases with a volume of 1,085.98 barrels in 2018-2019 as reported to The Government of Indonesia. The investigation using why tree method is conducted to identify the system level root causes described through tree branches. Five investigations in 2018-2019 reveal the repetitive root cause pattern. Significant root causes related to spill due to illegal tapping are key stakeholders’ engagement, surveillance resources, surveillance method and emergency response. Recommendations developed to these root causes create a comprehensive strategy to overcome spill due to illegal tapping. Comprehensive strategy by conducting continuous engagements to state government and local government, increasing personnel for surveillance resources, improving surveillance method and implementing thorough response has created significant impacts. Decreasing number of spill case in 2020 affects the revenue performance on financial aspect. Hiring local community for additional surveillance resources creates positive social impact for operation of PT CPI. Improved surveillance program shows sustained oil flow supporting the operation. Environmental impacts could be reduced by deploying response team immediately, recovering and cleaning the site according to regulation related to hazardous waste. Comprehensive strategy from PT CPI can be adopted by other Production Sharing Company (PSC) operators to maintain sustainability to deliver optimum production to meet the national target.
2

O'Reilly, Daniel Ian, Zhi Qui Xia, and Andrew Richard House. "Assessing the Value of Reservoir Surveillance Data from Gas Fields Producing to LNG Plants Using VoI (the Value of Information)." In SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition. SPE, 2023. http://dx.doi.org/10.2118/215318-ms.

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Abstract A set of examples will be shared for calculating the value of reservoir surveillance conducted in gas fields tying into LNG plants. This includes such measurements as transient pressure, rate and temperature changes, fluid chemistry or diagnostic information related to well integrity. These data are typically gathered during production operations, but their value is rarely quantified. The objective of this paper is to use existing VoI methods to provide a means to justify this reservoir surveillance. The results will be useful for justifying routine surveillance activities to other departments in the upstream organisation, e.g. Operations and Facilities Engineering. Established VoI methods will be applied to common surveillance problems occurring in production operations. In operating fields, gauges and metering equipment are already installed so there is no additional cost. However, surveillance may incur either personnel labour costs (when wells are still flowing) or lost production caused by shutting in wells (e.g. pressure transient tests). This is compared against the calculated value of a more reliable production forecast incorporating the new surveillance data. This value is realised when the future supply to a gas plant is ensured – i.e. avoiding future ullage or penalties from missed cargo deliveries. Discussion is provided on the degree of uncertainty for which interpreted production data (pressure, rate flow and time) resolves reservoir parameters and forecasting metrics. This is known as imperfect information. It is concluded that VoI is a powerful method with application in two areas. Firstly, it can be used in daily reservoir management and to increase production forecast reliability. Secondly, the surveillance data are used to inform future decisions such as infill drilling or compression projects (gas plant ullage). It is observed that management of operating companies are more inclined to agree to reservoir surveillance when its value is clearly calculated. Several generic and non-specific case studies are given that could be applied to gas fields on the North West Shelf in Australia. Most commonly, the VoI method is used prior to field development during the appraisal stage. The main difference for operating fields is that there are usually minimal material/service costs for these tests, but the cost relates to foregone production when the well is offline or curtailed. Few papers, if any, discuss its application to producing wells. However, in the upstream organisation the question of the value of surveillance arises and should be addressed.
3

Zhang, Liying. "Regulations Concerning Equipment Quality Supervision and Surveillance for Nuclear Power Plant EPC Projects." In 18th International Conference on Nuclear Engineering. ASMEDC, 2010. http://dx.doi.org/10.1115/icone18-30346.

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Use of the engineering, procurement and construction (EPC) contracting arrangement is increasing in China recently, especially for those important construction projects. The nuclear power plant construction projects are as well. Because of the associated hazards, nuclear power plant construction projects require more strict safety and quality requirements as compared with more conventional construction projects. As essential means and safety shields, the equipment quality supervision and surveillance requirements and their implementation mode should be explored to meet the requirements of EPC projects. It is highly demanded to establish new rules to meet the quick development of nuclear power plant construction projects. The article discusses the current equipment quality supervision and surveillance mode first, and then discusses the needs to build rules especially the significance of introducing independent organizations to supervise equipment quality for those nuclear power plant construction projects for using EPC contracting arrangement despite the supervision and surveillance conducted by manufactures, EPC contractors, nuclear power plant owners and the National Nuclear Safety Administration.
4

Gajjar, Yogin. "Monitoring of Pipeline RoU Using Remote Sensing and GIS Techniques." In ASME 2017 India Oil and Gas Pipeline Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/iogpc2017-2428.

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Safe Pipeline transportation of energy resources is a major concern. Every Natural Gas Pipeline Operator’s primary objective is to operate and maintain pipeline network in such a way that it would continuously provide un-interrupted services to customers without any accidents which can adversely impact on the environment and reputation of the organization. Various surveillance methods are being used in Natural Gas Pipelines as a part of direct integrity assessment. Traditionally, surveillance is conducted by line walking and supplemented by vehicular over the linear corridor. This process involves various shortcomings in terms of efficacy, accuracy, cost, and safety. This method purely depend upon Inspector’s ability for detecting anomalies. It is in the interest of any operator to maintain the value of its pipelines and to protect them effectively against damage caused by third parties. As a result of global progress in high-resolution remote sensing and image processing technology, it is possible to use digital surveillance method for monitoring of pipeline Right of Use (RoU). Digital Surveillance is done using Remote Sensing and Geographical Information System (GIS) techniques. Remote sensing based pipeline surveillance refers to the monitoring and detection of changes on RoU and around pipeline networks. This paper elaborates on the development and implementation of a digital solution that uses images from satellites and Unmanned Aerial Vehicles (UAV) to detect instances of encroachments and third-party activities on Pipeline RoU. Such a solution provides capability of running advance analytics on captured images, and will enable to automate detection of anomalies which may often go un-noticed during manual inspection.
5

Al Sawafi, M. M., and A. Aljabri. "South Oman Polymer Project: A Decade of Operational Excellence and Comprehensive Reservoir Monitoring and Surveillance." In SPE Improved Oil Recovery Conference. SPE, 2024. http://dx.doi.org/10.2118/218201-ms.

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Abstract The largest polymer flood field in the Middle East has been in operation since 2010, with over 45 polymer patterns and approximately 300 wells. Over the past 13 years, the project has faced various challenges, including ensuring sustained injection uptime, maintaining polymer viscosity stability, and optimizing the polymer pumps uptime, all of which directly impacting the field's polymer oil recovery. Managing such a complex project necessitates a comprehensive understanding of fluid dynamics. To comprehend the reservoir's behavior, an exhaustive surveillance plan is conducted annually, enabling the team to assess performance and take appropriate actions as needed. A substantial amount of data has been gathered to monitor polymer performance, encompassing surface and subsurface aspects such as wells' production data, polymer and water injection rates, polymer daily consumption, polymer viscosities, back-produced polymer concentration, pressure data and others. The large amount of data requires periodic analysis. To facilitate this, the team has developed automated tools to visualize polymer flood performance in real-time. These tools incorporate pre-defined sets of algorithms to retrieve surveillance data and present it in easily interpretable charts and tables, allowing the team to concentrate on areas of concern. Furthermore, well and pattern monitoring is conducted through an approach known as exceptional based surveillance (EBS), which triggers alarms when data deviates from preset operational parameters. These efforts have resulted in increased recovery from the polymer flood. Surveillance activities have demonstrated the effectiveness of data-driven and focused efforts in improving performance. In conjunction with operational excellence, an increase of around 50% in oil recovery has been achieved over the past few years. The paper will provide examples of acquired data, analyses performed, and actions taken to enhance oil recovery.
6

GĂINĂ, Liviu, Mihai-Alin MECLEA, and Mircea BOȘCOIANU. "SOCIO-TECHNICAL IMPLICATIONS OF DIGITIZATION IN THE MAINTENANCE OF AIR SURVEILLANCE SYSTEMS." In SCIENTIFIC RESEARCH AND EDUCATION IN THE AIR FORCE. Publishing House of "Henri Coanda" Air Force Academy, 2022. http://dx.doi.org/10.19062/2247-3173.2022.23.10.

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Digitisation has become a topic of debate and a challenging topic of interest in increased fields. The transition from analogue to digital aerial surveillance systems has been a particularly major step as aerial surveillance has as a major requirement the provision of real- time airborne situation information. The maintenance of these systems is essential as their active operational status and their resilience to intentional disruptive factors, depends on their proper performance. The article treats the socio-technical relationship through the lens of digitisation with elements on blockchain, cloud, Big Data, Industry 4.0, IoT (Internet of Things), AI (artificial intelligence), AR (augmented reality). Through the SWOT analysis conducted the article identifies key points on the proposed topic and draws guidelines towards a bright digitalization horizon.
7

Nascimento, Cássio B., Adolfo J. Neto, and Luciano Silva. "Modular Multi-Face Tracking Geared Toward Face Recognition in Surveillance Videos." In Anais Estendidos da Conference on Graphics, Patterns and Images. Sociedade Brasileira de Computação - SBC, 2023. http://dx.doi.org/10.5753/sibgrapi.est.2023.27447.

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Face recognition has achieved great accuracy when used in controlled conditions, however, these results aren’t usually carried over to video surveillance scenarios. To facilitate the use of face recognition for video surveillance, face selection can be employed as an intermediate step. This dissertation presents a study of face selection where we rework a multi-face tracking pipeline and with few changes manage to increase tracking and reconnection capabilities. Through experimentation with different face detection models, random parameter search and a simpler face quality measure, we achieved an increase of 10.1% in Multiple Object Tracking Precision (MOTP) and 9% more in the IDF1 metric. All experiments were conducted on a public multi-face tracking dataset, which we also expanded through manual video annotations.
8

Sugihara, Takuji, Takatoshi Hirota, Hiroyuki Sakamoto, Kentaro Yoshimoto, Kazuya Tsutsumi, and Takeshi Murakami. "Applicability of Miniature C(T) Specimen to Fracture Toughness Evaluation for the Irradiated Japanese Reactor Pressure Vessel Steel." In ASME 2017 Pressure Vessels and Piping Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/pvp2017-66206.

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Fracture toughness evaluations for irradiated reactor pressure vessel (RPV) steels are essential in the structural integrity assessment of RPVs. In Japanese pressurized water reactor (PWR) plants, fracture toughness tests are conducted for irradiated RPV steels through the surveillance tests and fracture toughness data are obtained. Lately, the Master Curve (MC) approach has become the main stream in fracture toughness evaluation. However, there can be the case that the number of fracture toughness data is not enough for the MC method in some Japanese PWR plants because of limited numbers of fracture toughness specimens contained in the surveillance capsules. On the other hand, for the Japanese PWR plants, a surveillance capsule generally contains a lot of Charpy impact specimens which miniature C(T) (Mini-C(T)) specimens with a size of 4×10×9.6mm can be taken from. Therefore, it is planned that additional fracture toughness tests are performed using Mini-C(T) specimens after the Charpy impact tests to obtain sufficient fracture toughness data for the MC method. Applicability of the Mini-C(T) specimen to the MC evaluation has been studied in a series of international round robin test programs coordinated by Central Research Institute of Electric Power Industry (CRIEPI). In these programs and the related studies, it was demonstrated that the reference temperature (To) can be determined by the Mini-C(T) specimens without any specific difficulties for the unirradiated RPV base metals. In addition, CRIEPI has recently reported on the basis of their studies that the fracture toughness tests could be successfully performed on the typical unirradiated RPV weld metal and the valid To can be determined with the data obtained from the weld metal as well as base metals. However, few papers reported applicability of the Mini-C(T) specimen to the MC evaluation for irradiated RPV steels. In this study, fracture toughness tests using Mini-C(T) specimens were conducted on the irradiated Japanese Industrial Standards (JIS) SFVQ1A steel (equivalent to ASME A508 Cl.3 steel). The Mini-C(T) specimens were machined out from some broken halves of Charpy impact specimens used in a surveillance test of an actual Japanese PWR plant by a wire cut electric spark machine followed by fatigue precracking. After the fracture toughness tests, the evaluation was performed on the obtained fracture toughness data according to the MC method. The effect of specimen size on To was studied and applicability of the Mini-C(T) specimen was discussed by comparing the existing results of fracture toughness tests using the 1/2T-C(T) specimens conducted in the surveillance test. In addition, the issues to obtain valid To for irradiated materials were discussed.
9

Tilaar, Revy, Asmarafia Asmarafia, Kurniati Kurniati, Ismi Maudilah Hardianti, and Rossi Sanusi. "Development of Surveillance for Stunting in Parigi-Moutong, Central Sulawesi." In The 7th International Conference on Public Health 2020. Masters Program in Public Health, Universitas Sebelas Maret, 2020. http://dx.doi.org/10.26911/the7thicph.01.18.

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Background: The prevalence of stunting in Parigi-Moutong District (Parimo District) was 33.7% at 10 villages. Stunting prevention effort are structured into a response-surveillance system (SSR) that includes all stages of the natural course of child growth disorders (GPA) to detect (Dx) and provide action (Rx) on the agent-environment (primordial prevention) and the host (primary prevention to rehabilitation). This study aimed to examine the development of a stunting-response surveillance system in Parigi-Moutong District, Central Sulawesi. Subjects and Method: This was a qualitative study conducted at Faculty of Medicine, Public Health and Nursing, Gajah Mada University, Yogyakarta from November 26 to 30. The development of SSR Stunting in Parimo Regency was carried out by means of a Training of Trainer (ToT), the following stages: (1) ToT 1 in the health sector (secondary and tertiary prevention); (2) training in 10 locus villages, sub-districts and districts by trainer from parimo district; (3) establishing ssr stunting; (4) ToT 2 across sector (primordial prevention, primary prevention and rehabilitation); (5) training throughout parimo district; and, (6) establishing the sr system for priority diseases. Results: SSR officers are able to train Individual Health Effort (UKP) officers, Information technology (IT) officers, Surveillance-Response (SR) officers Conclusion: SSR follows the WHO SSR pattern which consists of four components: (1) Main functions; (2) Supporting functions; (3) Structure; and, (4) quality criteria. Keywords: stunting, SSR, surveillance Correspondence: Rossi Sanusi. Faculty of Medicine, Universitas Gadjah Mada. l. Farmako, Senolowo, Sekip Utara, Depok, Sleman, Daerah Istimewa Yogyakarta 55281. DOI: https://doi.org/10.26911/the7thicph.01.18
10

Chavarria, J. Andres, Marcel Grubert, Chris Minto, and Euan Adams. "Well Integrity Surveillance with High Sensitivity Temperature Distributed Sensing." In ADIPEC. SPE, 2022. http://dx.doi.org/10.2118/211270-ms.

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Abstract Increasingly well integrity monitoring is being done with fiber optic temperature and acoustic measurements. Historically temperature and acoustics have required two separate types of systems. Advances in fiber optic sensing have resulted in temperature measurements that can be conducted using an Interrogator Unit (IU) that is traditionally used for distributed acoustic sensing (DAS) acoustics analysis. The Rayleigh based Distributed Temperature (RDTS) measurements are sensitive to a 1/1000th of a degree and can be used to assess subtle integrity issues like leaks or problems in the various annuli of wells. It is this great sensitivity to small temperature fluctuations that is the focus of this paper. These DAS measurements have higher sensitivity than conventional DTS measurements and can illuminate previously unexplored wellbore dynamics. Various measurements with fiber optic cables were conducted with DAS IU's in different engineering and downhole settings. The DAS measurements in wellbore conditions were processed for temperature focusing in the low frequency content of the signals. The measurements were initially validated against other sensing tools like DTS (Raman) and PT gauges to ensure that the temperature changes measured by the DAS unit are representative of real thermal regimes. Measurements were taken from a well setting that included permanent fiber optic cable cemented behind casing. However, these same tools are deployed in wells where the fiber is installed attached to the production tubing hence reducing deployment costs. The DAS data processing was processed for temperature fluctuations by focusing on low frequency components where fluid regimes reside. Fluid movement within the wellbore was identified by small temperature changes recorded by the IU. These fluid dynamic processes were subtle and quiet enough that a traditional acoustic analysis was not able to identify anomalous zones. The resulting measurements were able to determine fluid velocities illuminated by temperature changes. We show how high sensitivity RDTS signals capture small temperature features and various fluid dynamic responses within the well not possible with other tools. The responses from the system clearly showcase quiet zones above which clear entry points of fluids can be identified as the origin of leaks.

Звіти організацій з теми "Surveillance du conducteur":

1

Chatters, J. C. Cultural resources inventory and evaluation for Science City, conducted for expansion of the Maui Space Surveillance Site, Haleakala, Maui, Hawaii. Office of Scientific and Technical Information (OSTI), July 1991. http://dx.doi.org/10.2172/5485993.

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2

Price, Donald. PR-403-123706-R02 2012 Right-of-Way Automated Monitoring Program- Machinery Threat Flight Test Results. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), December 2015. http://dx.doi.org/10.55274/r0010865.

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In May 2012, the RAM Program completed a comprehensive flight test to evaluate the performance of airborne sensor technologies for detecting machinery threats on pipeline ROWs. The field trials were conducted on an operating pipeline Right Of Way (ROW) to provide realistic conditions for assessing the capabilities and limitations of automated systems that are currently available or are under development for identifying and reporting machinery encroachment. Four (4) separate vendors (American Aerospace Advisors, ATE Aero Surveillance, GeoEye, and New Era Technology) participated in the field trials. Each participating vendor brought a unique approach and technology package for threat detection. The findings from the flight tests show that automated technologies for pipeline patrol continue to advance at a rapid pace and are now competitive with traditional aerial patrols. While the technologies included in the flight tests are in varying stages of development, they are all near the point of being made available for routine pipeline patrol and surveillance.
3

Campbell, Ken. UAV-Related Capabilities of San Diego Area Companies. A Survey Conducted by the Naval Command, Control and Ocean Surveillance Center RDT and E Division (NRaD). Fort Belvoir, VA: Defense Technical Information Center, May 1997. http://dx.doi.org/10.21236/ada389303.

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4

Christensen, Lance. PR-459-133750-R03 Fast Accurate Automated System To Find And Quantify Natural Gas Leaks. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), November 2019. http://dx.doi.org/10.55274/r0011633.

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Miniature natural gas sensors weighing a few hundred grams with 10 ppb s-1 sensitivity towards methane and ppb s-1 sensitivity towards methane and ethane present the energy industry with cost effective ways to improve safety, comply with State and Federal regulations, decrease natural gas emissions, and attribute natural gas indications to thermogenic or biogenic sources. One particularly promising implementation is on small unmanned aerial systems (sUASs) flown by service providers or in-house personnel or even more ambitiously as part of larger network conducting autonomous, continual monitoring. This report describes refinement of the OPLS measurement system to include all ancillary instruments needed to put OPLS methane and ethane measurements into context for leak surveillance, localization, and quantification. Flights were conducted on a variety of VTOLs and fixed wing drones as described below to ensure that the overall system development resulted in a system that was platform agnostic. This report describes: - The complete agnostic OPLS measurement system.The individual components are described and their performance investigated.Technical issues that arose during testing and field deployment are described. - Field experiments of the refined OPLS measurement system at a real-world oil and gas production site.These experiments exercise the OPLS system's ability to do leak surveillance, localization, and quantification. - Laboratory development of the OPLS instrument to improve its performance in terms of signal-to-noise and accuracy. - Field experiments demonstrating the successful application of OPLS on a fixed-wing hybrid flown at altitudes higher than 50 m. - Field experiments demonstrating the utility of source attribution using the ethane measurement capability. There is a related webinar.
5

Latzman, Natasha E., Cecilia Casanueva, and Melissa Dolan. Defining and understanding the Scope of Child Sexual Abuse: Challenges and Opportunities. RTI Press, November 2017. http://dx.doi.org/10.3768/rtipress.2017.op.0044.1711.

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The enormous individual, familial, and societal burden of child sexual abuse has underscored the need to address the problem from a public health framework. Much work remains, however, at the first step of this framework — defining and understanding the scope of the problem, or establishing incidence and prevalence estimates. In this occasional paper, we provide an overview of the ways researchers have defined and estimated the scope of child sexual abuse, focusing on agency tabulations and large-scale surveys conducted over the last several decades. More precise estimates of the number of children affected by child sexual abuse would improve the ability of the public health, child welfare, pediatrics, and other communities to prevent and respond to the problem. We recommend using a comprehensive surveillance system to assess and track the scope of child sexual abuse. This system should be grounded by common definitional elements and draw from multiple indicators and sources to estimate the prevalence of a range of sexually abusive experiences.
6

Scarrott, Rory, Cathal O'Mahony, Michael Sweeney, Jonathan Williams, Jeremy Gault, Timothy Sullivan, and Ana Vila. KETmaritime: Setting course to energise maritime uptake of Key Enabling Technologies. University College Cork, 2020. http://dx.doi.org/10.33178/10468.10928.

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Key Enabled Technologies(KETs) have the potential to impact on many aspects of society, whilst transforming European industrial competitiveness at the local, national, and global scales. Studies funded by the European Commission have shown that European advances in six technology areas would not only enhance the leadership and competitiveness of European business, but also drive advances across Europe’s business sectors and society. Despite their applicability across sectors, KETs represent a change, and a new manner of moving forward. Business and society view change both positively, welcoming advances in technology and new tools and products to make life somewhat easier for citizens, and negatively, recognising that with change comes risk and a reticence to change. Like society, different industrial sectors will view innovation and new technology differently. As such, each sector requires a slightly different approach to energise KET uptake into their daily operations and lives. Recognition of this reality underpinned the development of this roadmap. Stakeholders have been engaged across the Atlantic Area, through the use of online surveying, face-to-face workshops, and one-to-one interviews conducted virtually. This has enabled the authors to develop an awareness of the maritime scene and community which offers such opportunities and potential for KETs. It also provided insights into the reality of energising this uptake when framed in the context of social, financial and governance realities. Over the course of the project, the team conducted an analysis of the maritime sector, to identify and map out any KET applications that were in development. In parallel, a diverse pool of academic and commercial stakeholders identified the opportunities they could see for KET applications in the maritime sector. They also identified factors which restrict uptake, and restrain viable trans- disciplinary innovations from effectively making it to market. Stakeholder perspectives were combined with the investigative findings to develop a vision for a KET-maritime innovation ecosystem. The barriers and challenges shaped a range of proposed actions, which target different facets of the innovation ecosystem to ease growth and shape development. These actors were iteratively reviewed by stakeholders, and amended accordingly. These actions form the basis of this roadmap, a proposed path towards realising a vibrant growing KET-maritime innovation ecosystem. It contains a suite of 60 inter-linked, systemic actions, framed within 35 action areas to achieve 9 core goals, spread across 5 thematic agendas (policy, funding, building a sustainable innovation ecosystem, capacity building, and awareness raising). This envisioned KET-maritime innovation ecosystem fosters application-led innovation, and advances societal and market benefits for all. Each of the 5 thematic agendas are summarised as a policy brief, provided in the Appendices. The actions applicable to each policy brief are detailed in this report, alongside a proposed timeframe for implementation. Each action is codified, and can be traced through the iterative review process using the provenance table supplied. The potential for KET applications across the Blue Economy is extensive, and all sectors offer at least some opportunities for KETs. Within this landscape, the following sectors are identified as having strong growth potential where KET’s can help to drive that growth: Fisheries and aquaculture; Blue biotechnology; Maritime surveillance; Marine renewable energy; Ship and boat building. Within these sectors, four specific KET-maritime applications research priorities are highlighted: Advanced materials application in marine renewable energy; Photonics application in maritime surveillance; Micro- and nano-electronics in maritime surveillance; Advanced manufacturing techniques in ship and boat building. Finally, the project team would like to take this opportunity to thank all stakeholders who participated in the workshops, interviews, and review activities which culminated in this roadmap.
7

Peterson, Bian, J. Hutchinson, Bijan Gurung, Adam Beeco, Ashley Pipkin, Sharolyn Anderson, and Damon Joyce. Exploring spatial patterns of overflights at Grand Canyon National Park. National Park Service, July 2023. http://dx.doi.org/10.36967/2299660.

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This study explored spatial patterns of overflights at Grand Canyon National Park (GRCA). Overflights were analyzed from February 5th, 2020 to January 9th, 2023 (975 days of data; 95 days of missing data) using Automatic Dependent Surveillance-Broadcast (ADS-B) data. The first phase of analysis focused on all overflights and found a high concentration of overflights above GRCA and definitive travel patterns across the park. The second phase of analysis focused on low-level overflights that fly below 10,000 ft mean sea level (MSL) and fly within 10-miles of the GRCA boundary. Phase 2 figures display yearly overflights segmented by aircraft type and show a concentration of flights between 7,000 – 10,000 ft MSL near the southeast boundary of GRCA. The third phase of analysis removed all overflights known to not be air tours. Kernel density analysis was conducted using waypoints segmented into 500 ft above ground level (AGL) altitude intervals. The altitude interval with the highest density of overflights was ‘3,001 – 3,500 ft AGL’. This information can be used for planning and management purposes and this study serves as a resource for future research that intends to use more advanced analytics.
8

Patterson, Brian, Shawn Hutchinson, Bijan Gurung, Adam Beeco, Sharolyn Anderson, and Damon Joyce. Exploring spatial patterns of overflights at Great Smoky Mountains National Park. National Park Service, May 2023. http://dx.doi.org/10.36967/2299255.

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This study explored spatial patterns of overflights at Great Smoky Mountains National Park (GRSM). Overflights were analyzed from September 25th, 2019 to June 1st, 2022 using Automatic Dependent Surveillance-Broadcast (ADS-B) data. The first phase of analysis focused on all overflights and found a high concentration of overflights above GRSM. The second phase of analysis focused on low-level overflights that fly below 10,000ft mean sea level (MSL) and fly within 10-miles of the GRSM boundary. Phase 2 figures display yearly overflights (2019, 2020, 2021, 2022) and show a concentration of flights beneath 4,000ft MSL near the northcentral and northwest boundary of GRSM. Additionally, for Phase 2, a figure was produced to show overflight travel patterns of rotorcraft that flew below 10,000ft MSL. The third phase of analysis removed all overflights known to not be air tours. Kernel density analysis was conducted using waypoints segmented into 500ft above ground level (AGL) altitude intervals. The altitude intervals with the highest density of overflights were ‘500-1,000ft AGL’ and ‘1,001-1,500ft AGL’. This information can be used for planning and management purposes and this study serves as a resource for future research that intends to use more advanced analytics.
9

Christensen, Lance. PR-459-133750-WEB Fast, Accurate, Automated System to Find and Quantify Natural Gas Leaks. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), July 2019. http://dx.doi.org/10.55274/r0011608.

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Thursday, August 8, 2019 11:00 am ET PRESENTER: Lance Christensen, PhD, NASA Jet Propulsion Laboratory HOST: Francois Rongere, PG and E MODERATOR: Carrie Greaney, PRCI CLICK BUY/DOWNLOAD TO ACCESS WEBINAR REGISTRATION LINK Join the PRCI Surveillance, Operations and Maintenance Technical Committee as they present research, conducted by NASA Jet Propulsion Laboratory (JPL), related to the Open Path Laser Spectrometer (OPLS). New advances in sensor technology, with high sensitivity towards detecting methane and ethane, present the energy pipeline industry with cost effective ways to improve safety, comply with state and federal regulations, decrease natural gas emissions and attribute natural gas indications to thermogenic or biogenic sources. This webinar will present the results of this research that included both laboratory and field testing. Benefits of attending: 1) Learn capability of miniature natural gas sensors 2) Learn how miniature natural gas sensors are applied on drones 3) Learn leak localization and flux measurements using miniature drone sensors Who should attend? Natural gas pipeline operators interested in the application of methane detection using unmanned aircraft systems (UAS) on pipeline operations will find this research especially informative. Recommended pre-reading: PR-459-133750-R02 Fast, Accurate, Automated System to Find and Quantify Natural Gas Leaks
10

Peterson, Brian, J. Beeco, Sharolyn Anderson, and Damon Joyce. Exploring spatial patterns of overflights at Mount Rushmore National Memorial. National Park Service, June 2022. http://dx.doi.org/10.36967/nrr-2293663.

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Анотація:
The purpose of this study was to explore the spatial patterns of overflights at Mount Rushmore National Memorial (Mount Rushmore). Overflights were analyzed from August 15th, 2020 to May 15th, 2021 using Automatic Dependent Surveillance-Broadcast (ADS-B) and radar data from L3Harris. The first phase of analysis focused on all overflights and found a high concentration of overflights fly above Mount Rushmore. The second phase of analysis focused on low-level overflights that fly below 9,000ft mean sea level (MSL), which showed that many low-level overflights fly in a ring-shaped pattern around Mount Rushmore. The third phase of analysis removed all overflights known to not be air tours. Point density analysis was conducted using waypoints segmented into 500ft above ground level (AGL) altitude intervals, which showed that the density of overflights varied by altitude interval and the 1,000-1,500ft AGL range had the highest density of overflights around and above Mount Rushmore. This altitude interval also had the highest number of waypoints. It was also determined that the aircraft owners who fly the most helicopter routes fly at mean and median altitudes less than 1,600ft AGL. This information can be used for planning and management purposes and this study serves as a resource for future research that intends to use more advanced analytics.

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