422 research outputs found
Beneath the bonnet of online privacy:Monitoring GDPR compliance through citizen science
Full text linkThe GDPR regulation was designed to give internet users a greater degree of control over their personal data, yet not all websites and apps are fully compliant and many still have trackers embedded. The CSI-COP project aimed to heighten awareness of what information is being gathered about us online, as Dr Huma Shah and Professor Ian Marshall explai
Beneath the bonnet of online privacy:Monitoring GDPR compliance through citizen science
Full text linkThe GDPR regulation was designed to give internet users a greater degree of control over their personal data, yet not all websites and apps are fully compliant and many still have trackers embedded. The CSI-COP project aimed to heighten awareness of what information is being gathered about us online, as Dr Huma Shah and Professor Ian Marshall explai
Advancing Road Safety: A Comprehensive Evaluation of Object Detection Models for Commercial Driver Monitoring Systems
No full textThis paper addresses the critical issue of road safety in the indispensable role of transportation for societal well-being and economic growth. Despite global initiatives like Vision Zero, traffic accidents persist, largely influenced by driver behavior. Advanced driver monitoring systems (ADMSs) utilizing computer vision have emerged to mitigate this issue, but existing systems are often costly and inaccessible, particularly for bus companies. This study introduces a lightweight, deep-learning-based ADMS tailored for real-time driver behavior monitoring, addressing practical barriers to enhance safety measures. A meticulously curated dataset, encompassing diverse demographics and lighting conditions, captures 4966 images depicting five key driver behaviors: eye closure, yawning, smoking, mobile phone usage, and seatbelt compliance. Three object detection models—Faster R-CNN, RetinaNet, and YOLOv5—were evaluated using critical performance metrics. YOLOv5 demonstrated exceptional efficiency, achieving an FPS of 125, a compact model size of 42 MB, and an mAP@IoU 50% of 93.6%. Its performance highlights a favorable trade-off between speed, model size, and prediction accuracy, making it ideal for real-time applications. Faster R-CNN achieved an FPS of 8.56, a model size of 835 MB, and an mAP@IoU 50% of 89.93%, while RetinaNet recorded an FPS of 16.24, a model size of 442 MB, and an mAP@IoU 50% of 87.63%. The practical deployment of the ADMS on a mini CPU demonstrated cost-effectiveness and high performance, enhancing accessibility in real-world settings. By elucidating the strengths and limitations of different object detection models, this research contributes to advancing road safety through affordable, efficient, and reliable technology solutions
Fonds Christian Bromberger : Affiches de la période de la Révolution islamique (Iran, 1978-1979) : Portrait du Shah Nematollah Vali assis
No full textAffiche-texte illustrée, affiche religieuse, couleur, 47,5x33cm. Acquisition de l'affiche par Christian Bromberger, ethnologue, au cours de ses différents séjours en Iran entre 1970 et 2010. Dépôt à la phonothèque de la MMSH (USR3125) en 2016. Numérisation effectuée dans le cadre du Consortium "Archives des ethnologues" sur un financement de la TGIR Huma-Num (CNRS, AMU, Campus Cordorcet) en 2017. Description et analyse de l’affiche réalisées par Azita Hempartian (traducologue, chercheure associée au CIELAM - centre interdisciplinaire d'étude des littératures d'Aix-Marseille). Synthèse des informations et saisie par Mathilde Louis (M1 archivistique, stage à la phonothèque MMSH en mai 2018). Conservation du document original, La Contemporaine (don de Christian Bromberger en 2018).A representation of Shah Nematollah Vali, a 14th century Sufi master and founder of the mystical current Nématollahi. His mausoleum in Mahan, region of Kerman, is a place of pilgrimage for the disciples of Nématollahi. The caption says “ Sacred portrait of Shah Nematollah Vali in Mahan”.L’affiche représente le Shah Nematollah Vali, maître soufi du XIVème siècle et fondateur du courant mystique Nématollahi (Ne’matollahi). Son mausolée à Mahan, ville de la région de Kerman est un lieu de pèlerinage pour les adeptes du courant.L’affiche est légendée « Portrait sacré de Châh Ne’matollah Vali à Mahan »
Aalif Shafaq\u27s Novel “Mohabbate Ke Chalis Chirag”: Urdu Translation
No full text“Mohabbate Ke Chalis Chirag” is actually a novel by Elif Shafak, a Turkish author. History, philosophy and Sufiism are her favorite subjects. The novel revolves around the love of Maulana Rumi and Shah Shams. It has been translated into more than 30 languages. It was translated into Urdu by Huma Anwar. The quality of translation is to use it which such skill and dedication that nowhere does it feel that it has been translated from another language into Urdu. And the translator should keep all the skills of translation in front of kim, this effort is seen in Huma Anwar’s translation due to which this translation has the status of original for Urdu language. Nowhere in this translation, the readers do not have any problem with regard language and smoothness. 
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Assumption of knowledge and the Chinese Room in Turing test interrogation
No full textWhilst common sense knowledge has been well researched in terms of intelligence and (in particular) artificial intelligence, specific, factual knowledge also plays a critical part in practice. When it comes to testing for intelligence, testing for factual knowledge is, in every-day life, frequently used as a front line tool. This paper presents new results which were the outcome of a series of practical Turing tests held on 23rd June 2012 at Bletchley Park, England. The focus of this paper is on the employment of specific knowledge testing by interrogators. Of interest are prejudiced assumptions made by interrogators as to what they believe should be widely known and subsequently the conclusions drawn if an entity does or does not appear to know a particular fact known to the interrogator. The paper is not at all about the performance of machines or hidden humans but rather the strategies based on assumptions of Turing test interrogators. Full, unedited transcripts from the tests are shown for the reader as working examples. As a result, it might be possible to draw critical conclusions with regard to the nature of human concepts of intelligence, in terms of the role played by specific, factual knowledge in our understanding of intelligence, whether this is exhibited by a human or a machine. This is specifically intended as a position paper, firstly by claiming that practicalising Turing's test is a useful exercise throwing light on how we humans think, and secondly, by taking a potentially controversial stance, because some interrogators adopt a solipsist questioning style of hidden entities with a view that it is a thinking intelligent human if it thinks like them and knows what they know. The paper is aimed at opening discussion with regard to the different aspects considered
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Human misidentification in Turing tests
No full textThis paper presents some important issues on misidentification of human interlocutors in text-based communication during practical Turing tests. The study here presents transcripts in which human judges succumbed to theconfederate effect, misidentifying hidden human foils for machines. An attempt is made to assess the reasons for this. The practical Turing tests in question were held on 23 June 2012 at Bletchley Park, England. A selection of actual full transcripts from the tests is shown and an analysis is given in each case. As a result of these tests, conclusions are drawn with regard to the sort of strategies which can perhaps lead to erroneous conclusions when one is involved as an interrogator. Such results also serve to indicate conversational directions to avoid for those machine designers who wish to create a conversational entity that performs well on the Turing test
From the Buzzing in Turing's Head to Machine Intelligence Contests
No full textAbstract. This paper presents an analysis of three major contests for machine intelligence. We conclude that a new era for Turing's test requires a fillip in the guise of a committed sponsor, not unlike DARPA, funders of the successful 2007 Urban Challenge
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Effects of lying in practical Turing tests
No full textInterpretation of utterances affects an interrogator’s determination of human from machine during live Turing tests. Here, we consider transcripts realised as a result of a series of practical Turing tests that were held on 23 June 2012 at Bletchley Park, England. The focus in this paper is to consider the effects of lying and truth-telling on the human judges by the hidden entities, whether human or a machine. Turing test transcripts provide a glimpse into short text communication, the type that occurs in emails: how does the reader determine truth from the content of a stranger’s textual message? Different types of lying in the conversations are explored, and the judge’s attribution of human or machine is investigated in each test
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