_Real Time II_ extends and evolves DH Mellor's classic exploration of the philosophy of time,_Real Time._ This new book answers such basic metaphysical questions about time as: how do past, present and future differ, how are time and space related, what is change, is time travel possible? His _Real Time_ dominated the philosophy of time for fifteen years. _Real TIme II_ will do the same for the next twenty. GET /english/edu/Studying_at_SU/History_of_Literature.html HTTP/1.0.

Playing with correct intonation is one of the major challenges for a string player. A player must learn how to physically reproduce a target pitch, but before that, the player must learn what correct intonation is. This requires audiation- the aural equivalent of visualization- of every note along with self-assessment whether the pitch played matches the target, and if not, what action should be taken to correct it. A challenge for successful learning is that much of it occurs during practice, (...) typically without outside supervision. A student who has not yet learned to hear correct intonation may repeatedly practice out of tune, blithely normalising bad habits and bad intonation. The real-time reflective nature of intonation and its consistent demand on attention make it a ripe target for technological intervention. Using a violin augmented to combine fingerboard sensors with audio analysis for real-time pitch detection, we examine the efficacy of three methods of real-time feedback for improving intonation and pitch learning. The first, aural feedback in the form of an in-tune guide pitch following the student in real-time, is inspired by the tradition of students playing along with teachers. The second is visual feedback on intonation correctness using an algorithm optimised for use throughout normal practice. The third is a combination of the two methods, simultaneously providing aural and visual feedback. Twelve beginning violinists, including children and adults, were given four in-situ 20-30 minute lessons. Each lesson used one of the intonation feedback methods, along with a control lesson using no feedback. We collected data on intonation accuracy and conducted interviews on student experience and preference. The results varied by player, with evidence of some players being helped by the feedback methods but also cases where the feedback was distracting and intonation suffered. However interviews suggested a high level of interest and potential in having such tools to help during practice, and results also suggested that it takes time to learn to use the real-time aural and visual feedback. Both methods of feedback demonstrate potential for assisting self-reflection during individual practice. (shrink)

This is a study of the nature of time. In it, redeploying an argument first presented by McTaggart, the author argues that although time itself is real, tense is not. He accounts for the appearance of the reality of tense - our sense of the passage of time, and the fact that our experience occurs in the present - by showing how time is indispensable as a condition of action. Time itself is further analysed, (...) and Dr Mellor gives answers to most of the metaphysical questions it provokes, concerning the relation of time to space, the dissection of time, and its relation to change and causation. (shrink)

This article argues that the possibility that we live in a computer simulation has important implications for the philosophy of time and time travel. Section 2 distinguishes real time from simulated time. Section 3 argues that whatever is true of real time, simulated time realises a functional analogue within real time to versions of presentism in which features of the present play the role of an uninstantiated past and future. Section (...) 4 then argues that whereas real time travel paradoxes depend upon the ultimate nature of ‘base-reality’ and consistency with observed physics, the possibility of simulated time travel depends instead on a simulation's code, which may allow seemingly ‘miraculous’ exceptions to ‘physical laws’. Finally, Section 5 concludes that if miraculous forms of time travel are discovered, this may provide evidence by inference to the best explanation that we live in a simulation. (shrink)

While previous research has linked executive attention to emotion regulation, the current study investigated the role of attentional alerting (i.e., efficient use of external warning cues) on younger (N=39) and older (N=44) adults’ use of gaze to regulate their mood in real time. Participants viewed highly arousing unpleasant images while reporting their mood and were instructed to deliberately manage how they felt and to minimise the effect of those stimuli on their mood. Fixations toward the most negative areas (...) of the images were recorded with eye tracking. We examined whether looking less at the most negative regions, compared to each individual's own tendency, was a beneficial mood regulatory strategy and how it interacted with age and alerting ability. High alerting older adults, who rely more on external cues to guide their attention, experienced a smaller decline in mood over time by activating a less-negative-looking approach (compared to their own average tendency), effectively looking away from the most negative areas of the images. More negative gaze patterns predicted better mood for younger adults, though this effect decreased over time. Alerting did not moderate gaze–mood links in younger adults. Successful mood regulation may thus depend on particular combinations of age, fixation, and attention. (shrink)

Many believe that quantum mechanics makes the world hospitable to the tensed theory of time. Quantum mechanics is said to rescue the significance of the present moment, the mutability of the future and possibly even the whoosh of time’s flow. It allegedly does so in two different ways: by making a preferred foliation of spacetime into space and time scientifically respectable, and by wavefunction collapse injecting temporal ‘becoming’ into the world. The aim of this paper is to (...) show that the reasoning underlying these claims is wishful thinking. Against the first claim I develop what I call the “coordination problem” for tensers. The upshot of this problem is that if tensers escape the threat of relativity, they do so only by embracing conflict with the branch of physics they believed saved them, quantum mechanics. I then step back from the fray and examine some methodological issues, concluding that scientific methodology will always be “against” tenses as they are currently conceived. The Appendix deals with the confused tangle of issues linking wavefunction collapse to an open future. (shrink)

Background: A growing literature has raised—skeptically—the question of whether cutting-edge scientific research can identify and address broader ethical and policy considerations in real time. In genomics, the question is: Can ELSI contribute to genomics in real time, or will it be relegated to its historical role of after-the-fact outsider critique? We address this question against the background of a genomic screening project where we participated as embedded, real-time ELSI researchers and observers, from its initial (...) design through its conclusion.Methods: As part of the ELSI study design, the project included an ongoing reflexive ethnography in which the authors studied the process of its design and implementation. The authors were true participant observers, serving as members of various task-oriented groups while recording meetings and other events for ongoing qualitative analysis. We also conducted and analyzed interviews of multiple participants at the conclusion of the project.Results: Our real-time ELSI initiative had a mixed record of successes and challenges. If we define success as ELSI researchers having had an opportunity to participate fully in the project and to make the ELSI perspective heard, then our assessment is largely positive. If, however, we define successes as instances where real-time ELSI contributions changed the direction of the genomic or public health aspects of the GeneScreen project or, after careful deliberation, confirmed the appropriateness of the status quo, then we can identify only a few examples. While we had a seat at the table, we were, for the most part, tolerated guests.Conclusions: We conclude that there are significant barriers to real-time ELSI influence. The difficulty does not reside in any intended exclusion of an ELSI perspective, but in factors endemic to genomic research, including knowledge disparities, epistemological biases, and the pressures of time and money. (shrink)

This paper enquires into the politics of real-time in online media. It suggests that real-time cannot be accounted for as a universal temporal frame in which events happen, but explores the making of real-time from a device perspective focusing on the temporalities of platforms. Based on an empirical study exploring the pace at which various online media produce new content, we trace the different rhythms, patterns or tempos created by the interplay of devices, users’ (...) web activities and issues. What emerges are distinct forms of ‘realtimeness’ which are not external from but specific to devices, organized through socio-technical arrangements and practices of use. Realtimeness thus unflattens more general accounts of the real-time web and research, and draws attention to the agencies built into specific platform temporalities and the political economies of making real-time. (shrink)

The impact of Online Social Networks on human lives is foreseen to be very large with unprecedented amount of data and users. OSN users share their ideas, photos, daily life events, feelings and news. Since OSNs’ security and privacy challenges are more potential than ever before, it is necessary to enhance the protection and filtering approaches of OSNs contents. This paper explores OSNs’ threats and challenges, and categorize them into: account-based, URL-based and content-based threats. In addition, we analyze the existing (...) protection methods and highlight their limitations and weaknesses. Based on that, we propose a comprehensive, user-level, proactive and real-time OSNs’ protection system, called Hybrid Real-time Social Networks Protector. HRSP has three components; a user-level security protocol and two classification models. The protocol defines a structure for OSN’s cryptographic services, including encryption, access control and users’ authentication. The classification models employ machine learning, black lists, white lists and users’ feedback, in order to classify URLs into: Benign, Risk and Inappropriate classes, and contents into: Benign, Hate speech and Inappropriate classes. We constructed two data sets of 150,000 URLs and 22,000 tweets to build and test the two classification models. Results show an overall accuracy of 93.2% for the URL model and 84.4% for the content model, while the protocol implementation produces compatible size and time overhead. The components of HRSP are integrated and have compatible design with OSN platforms. (shrink)

This paper focuses on the theme of the application of deep learning in the field of basketball sports, using research methods such as literature research, video analysis, comparative research, and mathematical statistics to explore deep learning in real-time analysis of basketball sports data. The basketball posture action recognition and analysis system proposed for basketball movement is composed of two parts serially. The first part is based on the bottom-up posture estimation method to locate the joint points and is (...) used to extract the posture sequence of the target in the video. The second part is the analysis and research of the action recognition algorithm based on the convolution of the space-time graph. According to the extracted posture sequence, the basketball action of the set classification is recognized. In order to obtain more accurate and three-dimensional information, a multitraining target method can be used in training; that is, multiple indicators can be detected and feedback is provided at the same time to correct player errors in time; the other is an auxiliary method, which is compared with ordinary training. The method can actively correct technical movements, train players to form muscle memory, and improve their abilities. Through the research of this article, it provides a theoretical basis for promoting the application of deep learning in the field of basketball and also provides a theoretical reference for the wider application of deep learning in the field of sports. At the same time, the designed real-time analysis system of basketball data also provides more actual reference values for coaches and athletes. (shrink)

Low heart rate causes a risk of death, heart disease, and cardiovascular diseases. Therefore, monitoring the heart rate is critical because of the heart’s function to discover its irregularity to detect the health problems early. Rapid technological advancement allows healthcare sectors to consolidate and analyze massive health-based data to discover risks by making more accurate predictions. Therefore, this work proposes a real-time prediction system for heart rate, which helps the medical care providers and patients avoid heart rate risk (...) in real time. The proposed system consists of two phases, namely, an offline phase and an online phase. The offline phase targets developing the model using different forecasting techniques to find the lowest root mean square error. The heart rate time-series dataset is extracted from Medical Information Mart for Intensive Care. Recurrent neural network, long short-term memory, gated recurrent units, and bidirectional long short-term memory are applied to heart rate time series. For the online phase, Apache Kafka and Apache Spark have been used to predict the heart rate in advance based on the best developed model. According to the experimental results, the GRU with three layers has recorded the best performance. Consequently, GRU with three layers has been used to predict heart rate 5 minutes in advance. (shrink)

Poor air quality is a pressing global challenge contributing to adverse health impacts around the world. In the past decade, there has been a rapid proliferation of air quality information delivered via sensors, apps, websites or other media channels in near real-time and at increasingly localized geographic scales. This paper explores the growing emphasis on self-monitoring and digital platforms to supply informational interventions for reducing pollution exposures and improving health outcomes at the individual level. It presents a technological (...) case study that characterizes emerging air quality information communication mechanisms, or ‘AQ channels’, while drawing upon examples throughout the literature. The questions are posed: which air quality channels are ‘freely’ available to individuals in London, UK, and when and where are they accessed? Digital trace data and metadata associated with 54 air quality channels are synthesized narratively and graphically. Results reveal air quality channels derive air pollution estimates using common data sources, display disparate messaging, adopt variable geographic scales for reporting ‘readings’ and maintain psychosocial barriers to access and adoption of exposure-reducing behaviours. The results also point to a clear association between the publication of a high-profile news article about air pollution and increased air quality channel access. These findings illuminate a need for greater transparency around how air quality channels generate personalized air pollution exposure estimates and tailor messaging. The paper concludes by calling for air quality channel developers to exercise co-creative methods that can support sustainable, democratic data and knowledge production around air quality, while critically approaching disproportionate patterns of both pollution and information exposure. (shrink)

Disaster research has grown in scope and frequency. Research in the wake of disasters and during humanitarian crises – particularly in resource-poor settings – is likely to raise profound and unique ethical challenges for local communities, crisis responders, researchers, and research ethics committees. Given the ethical challenges, many have questioned how best to provide research ethics review and oversight. We contribute to the conversation concerning how best to ensure appropriate ethical oversight in disaster research and argue that ethical disaster research (...) requires of researchers and RECs a particular sort of ongoing, critical engagement which may not be warranted in less exceptional research. We present two cases that typify the concerns disaster researchers and RECs may confront, and elaborate upon what this ongoing engagement might look like – how it might be conceptualized and utilized – using the concept of real-time responsiveness. The central aim of RTR, understood here as both an ethical ideal and practice, is to lessen the potential for research conducted in the wake of disasters to create, perpetuate, or exacerbate vulnerabilities and contribute to injustices suffered by disaster-affected populations. Well cultivated and deployed, we believe that RTR may enhance the moral capacities of researchers and REC members, and RECs as institutions where moral agency is nurtured and sustained. (shrink)

Most clinical neurofeedback studies based on functional magnetic resonance imaging use the patient's own neural activity as feedback. The objective of this study was to create a subject-independent brain state classifier as part of a real-time fMRI neurofeedback system that can guide patients with depression in achieving a healthy brain state, and then to examine subsequent clinical changes. In a first step, a brain classifier based on a support vector machine was trained from the neural information of happy (...) autobiographical imagery and motor imagery blocks received from a healthy female participant during an MRI session. In the second step, 7 right-handed female patients with mild or moderate depressive symptoms were trained to match their own neural activity with the neural activity corresponding to the “happiness emotional brain state” of the healthy participant. The training was carried out using the rt-fMRI NF system guided by the brain-state classifier we had created. Thus, the informative voxels previously obtained in the first step, using SVM classification and Effect Mapping, were used to classify the Blood-Oxygen-Level Dependent activity of the patients and converted into real-time visual feedback during the neurofeedback training runs. Improvements in the classifier accuracy toward the end of the training were observed in all the patients [Session 4–1 Median = 6.563%; Range = 4.10–27.34; Wilcoxon Test, 2-tailed p = 0.031]. Clinical improvement also was observed in a blind standardized clinical evaluation [HDRS CE2-1 Median = 7; Range 2 to 15; Wilcoxon Test, 2-tailed p = 0.016], and in self-report assessments [BDI-II CE2-1 Median = 8; Range 1–15; Wilcoxon Test, 2-tailed p = 0.031]. In addition, the clinical improvement was still present 10 days after the intervention [BDI-II CE3-2_Median = 0; Range −1 to 2; Wilcoxon Test, 2-tailed p = 0.50/ HDRS CE3-2 Median = 0; Range −1 to 2; Wilcoxon Test, 2-tailed p = 0.625]. Although the number of participants needs to be increased and a control group included to confirm these findings, the results suggest a novel option for neural modulation and clinical alleviation in depression using noninvasive stimulation technologies. (shrink)

There are ways in which the new tenseless theory of time is analogous to David Lewis’s modal realism. The new tenseless theory gives an indexical analysis of temporal terms such as ‘now’, while Lewis gives and indexical analysis of ‘actual’. For the new tenseless theory, all times are equally real; for Lewis, all worlds are equally real. In this paper I investigate this apparent analogy between these two theories, and ask whether a proponent of one is committed, (...) by parity of reasoning, to the other. I conclude that the analogy is merely apparent, and that independent reasons are needed to support each theory. (shrink)

Background: The risk of surgery in eloquent areas is related to neuropsychological dysfunctions. Maximizing the extent of resection increases the overall survival. The onco-functional balance is mandatory when surgery involves cognitive areas, and maximal information on the cognitive status of patients during awake surgery is needed. This can be achieved using direct cortical stimulation mapping and, in addition to this, a neuropsychological monitoring technique called real-time neuropsychological testing. The RTNT includes testing protocols based on the area where the (...) surgery is performed. We reported on tests used for left temporal lobe surgery and our RTNT decision tree.Case Report: We reported our RTNT experience with a 25-year-old right-handed man with 13 years of schooling. He reported daily partial seizures. MRI revealed the presence of a low-grade glioma involving the temporo-insular cortex. The neuropsychological status presurgery which was within the normal range was combined with functional magnetic resonance imaging and diffusion tensor imaging information. Awake surgery plus RTNT was performed. Direct electrical stimulation during object naming elicited a motor speech arrest. Resection was continuously accompanied by the RTNT. The RTNT provided enriched information to the surgeon. Performance never dropped. A slight decrement in accuracy emerged for pseudoword repetition, short-term memory and working memory, phonological processing, and verbal comprehension. Total resection was performed, and the histological examination confirmed the nature of the lesion. Immediate postsurgery performance was within the normal range as it was the fMRI and DTI assessment.Conclusion: The RTNT provides essential information that can be used online, during surgery, for clinical aims to provide the surgeon with useful feedback on the cognitive status of patients. (shrink)

Precise prediction of future vehicle information can improve the control efficiency of hybrid electric vehicles. Nowadays, most prediction models use previous information of vehicles to predict future driving velocity, which cannot reflect the impact of the driver and the environment. In this paper, a real-time energy management strategy based on driver-action-impact MPC is proposed for series hybrid electric vehicles. The proposed EMS consists of two modules: the velocity prediction module and the real-time MPC module. In the (...) velocity prediction module, a long short-term memory neural network model, which is trained by the traffic data derived from a VR-based driving simulator, is adopted to predict the future driving information by using driver action information and current vehicle’s velocity. The obtained future driving velocity is treated as the inputs of the real-time MPC module, which outputs the control variables to act on the underlying controllers of power components by solving a standard quadratic programming problem. Compared with the rule-based strategy, a 5.6% average reduction of fuel consumption is obtained. The effectiveness of real-time computation of the EMS is validated and verified through a hardware-in-the-loop test platform. (shrink)

Two experiments examined the restriction of referential domains during unscripted conversation by analyzing the modification and online interpretation of referring expressions. Experiment 1 demonstrated that from the earliest moments of processing, addressees interpreted referring expressions with respect to referential domains constrained by the conversation. Analysis of eye movements during the conversation showed elimination of standard competition effects seen with scripted language. Results from Experiment 2 pinpointed two pragmatic factors responsible for restriction of the referential domains used by speakers to design (...) referential expressions and demonstrated that the same factors predict whether addressees consider local competitors to be potential referents during online interpretation of the same expressions. These experiments demonstrate, for the first time, that online interpretation of referring expressions in conversation is facilitated by referential domains constrained by pragmatic factors that predict when addressees are likely to encounter temporary ambiguity in language processing. (shrink)

The reality of resource limitation during the Coronavirus Disease 2019 pandemic has deeply challenged established approaches to healthcare system emergency response. Early preparation du...

In his PhD proposal, now published as Seeing Sociological, Garfinkel [2006] formulated action in terms of a mutually constitutive structure—the Noesis-Noema Structures. This structure can be traced to Aaron Gurwitsch’s gestalt psychology and Law of Good Gestalt which theorises how participants prioritise functional Gestalts over other possible meanings of what is perceivable in their surroundings. While Gurwitsch illustrated his theory using images, in this paper we revisit Gurwitsch’s theory in light of the advances in recording real-time interaction to (...) consider Gestalt in spatio-temporality of real-time interaction. We consider the Law of Good Gestalt in terms of the dimensions of time and space, and postulate two analytical principles—the Principle of Good Momentary Gestalt and the Principle of Good Temporal Gestalt—for analysing a multi-angle video segment of a monologue taken from a training event. The analysis examines how the monologue was embedded in a multi-layer projection structure, so that during the time of the monologue, the trainer and trainees can be seen as achieving a transition between one activity to another while sustaining the frame of the training event. Through this, the analysis highlights the multi-layered structure of participants’ field of perception that constitutes their experience of the social activity, and explores a “method” to reconstruct such a structured field of perception through re-coupling meanings to the assemblages of multimodal resources recoverable on video. (shrink)

Decoding the human genome in the past decades has brought into focus a computationally intensive operation through DNA profiling. The typical search space for these kinds of problems is extremely large and requires specialized hardware and algorithms to perform the necessary sequence analysis. In this paper, we propose an innovative and scalable approach to exact multi-pattern matching of nucleotide sequences by harnessing the massively parallel computing power found in commodity graphical processing units. Our approach places careful consideration on preprocessing of (...) DNA datasets and runtime performance, while exploiting the full capabilities of the heterogeneous platform it runs on. Finally, we evaluate our models against real-world DNA sequences. (shrink)

With the innovation of computer, virtual clothing has also emerged. This research mainly discusses the real-time animation complex of interactive clothing design based on computer simulation. In the process of realizing virtual clothing, the sample interpolation synthesis method is used, and the human body sample library is constructed using the above two methods first, and then, the human body model is obtained by interpolation calculation according to the personalized parameters. Building a clothing model is particularly important for the (...) effect of trying on. The clothing that needs to be displayed can be scanned and then input into the computer to build the model. The model can be directly built in 3DMAX and other software and then its surface texture can be mapped, or the clothing model can be directly built. The 3D model in the 3ds file is loaded by the loop body nested switch branch selection structure. Correspondingly, the write-back operation of 3ds files is similar. Just follow the general structure of the 3ds file and write the root block, version information block, edit information block, key frame information block, etc. to a brand new file in sequence. The main reason for this article to perform the 3ds file write-back operation is that, after the clothing model is dynamically simulated through the dynamic principle, the deformed key animation frame needs to be saved as a 3ds file so that it can be further imported into the 3DSMAX software and generated by the renderer, form high-quality picture information, and finally get high-definition animation video. In the CPU-GPU hybrid method, modules such as force calculation, collision processing, and position update use the GPU method, while overstretching is processed by the CPU method, making the overall performance 10 times higher than the pure CPU method. This research helps to promote the development of 3D virtual clothing design. (shrink)

BackgroundThere have been notable investments in large multi-partner research programmes across the agriculture-nutrition-health (ANH) nexus. These studies often involve human participants and commonly require research ethics review. These ANH studies are complex and can raise ethical issues that need pre-field work, ethical oversight and also need an embedded process that can identify, characterise and manage ethical issues as the research work develops, as such more embedded and dynamic ethics processes are needed. This work builds on notions of ‘ethics in practice’ (...) by developing an approach to facilitate ethical reflection within large research programmes. This study explores the application of a novel ‘real-time research ethics approach’ (RTREA) and how this can support ethical mindfulness. This involves embedding ethical analysis and decision-making within research implementation, with a continuous dialogue between participants and researchers. The aim is to improve ethical responsiveness and participant experience, which in turn may ethically support adherence and retention. In this case study, a bioethics team (BT) was embedded in a community-based randomised, controlled trial conducted in rural Malawi, titled the ‘Addressing Hidden Hunger with Agronomy’. To identify ethical issues, the researchers conducted ten focus group discussions, fourteen in-depth interviews with key informants, two workshops, observed two sensitisation and three activity meetings conducted by the trial team, and analysed fifteen reports from pre-trial to trial implementation.ResultsThe RTREA facilitated the identification of social and ethical concerns and made researchers aware of participants’ ‘lived research experience’. To address concerns and experiences, the BT worked with researchers to facilitate conversation spaces where social and ethical issues were discussed. Conversation spaces were designed to create partnerships and promote participatory methods to capture trial participants’ (TPs) perspectives and experiences.ConclusionsThe use of RTREA showed the value of real-time and continuous engagement between TPs and researchers. These real-time processes could be embedded to complement traditional ethical guidance and expert opinions. A deeper engagement appeared to support greater operationalising of principles of inclusion, empowerment, and participant autonomy and supported researchers ‘ethical mindfulness’ which in turn may support instrumental outcomes of high recruitment, retention, and adherence levels. (shrink)

Après avoir donné une idée générale du processus d’individuation chez Husserl, l’étude analyse minutieusement la manière dont la temporalité propre aux actes de la perception interne et externe, du ressouvenir et de la phantasia constitue, d’après les Manuscrits de Bernau, l’individualité de l’objet intentionnel. Une attention toute particulière est accordée à ce qui distingue les objets fictifs des objets idéaux et qui permet de leur attribuer une forme spécifique d’individuation . L’étude apporte également des éclaircissements en ce qui concerne la (...) phénoménologie transcendantale dans son rapport à l’ontologie. (shrink)

Standard representative democracy is criticised on democratic grounds and the case is made for an alternative system of democratic governance. The paper discusses ways in which representative democracy falls short of the democratic ideal of self-governance. Referendum and initiative are examined as mechanisms that further self-governance, but are argued not to go far enough. Direct democracy is considered as an alternative to representative democracy, but the case is made that even on democratic grounds direct democracy is unnecessarily demanding. It is (...) argued that this is also the case with regard to Budge’s proposal for direct democratic governance, which retains a place for representation and for political parties. Real-time democracy is defended as a superior alternative. In real-time democracy, a voter’s vote is attached to an elected representative’s weighed parliamentary vote. The voter, however, is able to withdraw that vote and vote independently of her representative in parliamentary votes. (shrink)

In this paper, a timed modal logic L c is presented for the specification and verification of real-time systems. Several important results for L c are discussed. First we address the model checking problem and we show that it is an EXPTIME-complete problem. Secondly we consider expressiveness and we explain how to express strong timed bisimilarity and how to build characteristic formulas for timed automata. We also propose a compositional algorithm for L c model checking. Finally we consider (...) several control problems for which L c can be used to check controllability. (shrink)

To better detect fish in an aquaculture environment, a high-accuracy real-time detection model is proposed. An experimental dataset was collected for fish detection in laboratory aquaculture environments using remotely operated vehicles. To overcome the inaccuracy of the You Only Look Once v3 algorithm in underwater farming environment, a suitable set of hyperparameters was obtained through multiple sets of experiments. Then, a real-time image recovery algorithm is applied before YOLOv3 to reduce the effects of both noise and (...) light on images whilst keeping the real-time capability, leading to a mean average precision of 0.85 and frame rate of 17.6 fps, respectively. Finally, compared with the base detection model using only the YOLOv3 algorithm, the enhanced detection model presented results in a reduction of miss detection rate from 23% to only 9% across different environments and with the detection accuracy of the target in different environments being improved from 8% to 37%. (shrink)

The production of good sound generation in the violin is a complex task that requires coordination and spatiotemporal control of bowing gestures. The use of motion-capture technologies to improve performance or reduce injury risks in the area of kinesiology is becoming widespread. The combination of motion accuracy and sound quality feedback has the potential of becoming an important aid in violin learning. In this study, we evaluate motion-capture and sound-quality analysis technologies developed inside the context of the TELMI, a technology-enhanced (...) music learning project. We analyzed the sound and bow motion of 50 participants with no prior violin experience while learning to produce a stable sound in the violin. Participants were divided into two groups: the experimental group received real-time visual feedback both on kinematics and sound quality, while participants in the control group practiced without any type of external help. An additional third group of violin experts performed the same task for comparative purposes. After the practice session, all groups were evaluated in a transfer phase without feedback. At the practice phase, the experimental group improved their bowing kinematics in comparison to the control group, but this was at the expense of impairing the sound quality of their performance. At the retention phase, the experimental group showed better results in sound quality, especially concerning control of sound dynamics. Besides, we found that the expert group improved the stability of their sound while using the technology. All in all, these results emphasize the importance of feedback technologies in learning complex tasks, such as musical instrument learning. (shrink)

Multimedia learning theories suggest presenting associated pieces of information in spatial and temporal contiguity. New technologies like Augmented Reality allow for realizing these principles in science laboratory courses by presenting virtual real-time information during hands-on experimentation. Spatial integration can be achieved by pinning virtual representations of measurement data to corresponding real components. In the present study, an Augmented Reality-based presentation format was realized via a head-mounted display and contrasted to a separate display, which provided a well-arranged data (...) matrix in spatial distance to the real components and was therefore expected to result in a spatial split-attention effect. Two groups of engineering students performed six experiments exploring fundamental laws of electric circuits. Cognitive load and conceptual knowledge acquisition were assessed as main outcome variables. In contrast to our hypotheses and previous findings, the Augmented Reality group did not report lower extraneous load and the separate display group showed higher learning gains. The pre- and posttest assessing conceptual knowledge were monitored by eye tracking. Results indicate that the condition affected the visual relevancy of circuit diagrams to final problem completion. The unexpected reverse effects could be traced back to emphasizing coherence formation processes regarding multiple measurements. (shrink)