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Due to severe deformation, noise, and occlusion, the registration problem of non-rigid point sets in rolling formed metal workpieces poses challenges, and the demand for real-time data storage and registration during the rolling forming process makes this problem even more prominent. This paper proposes an enhanced nonrigid point set registration algorithm based on the Coherent Point Drift (CPD) framework, introducing novel methods to improve accuracy and efficiency. A refined local distance calculation method combining spatial distance has been proposed to improve matching accuracy. In contrast, an optimized shape context method introduces a new driving force criterion to expedite initial registration and reduce subsequent errors. Leveraging the Expectation-Maximization (EM) algorithm, the approach iteratively solves point correspondences, demonstrating robustness in handling complex scenarios like non-rigid deformation and noise. Experimental validation using real production datasets shows superior accuracy and efficiency over classical algorithms, showcasing a practical solution for non-rigid point set registration challenges in roll forming applications. [ABSTRACT FROM AUTHOR]

To better promote the role of traditional constructivist teaching models, this study investigates on the impact of information technology-enhanced constructivist teaching on engineering undergraduates learning and engagement. Firstly, the framework of constructivist teaching theory model based on data analysis is constructed, and the relationship among the constructivist teaching model, teaching activity data and flow experience is explicit. Secondly, a real-time teaching management assisted analysis software is developed by ourselves, which expands the mere management tool to an educational method and integrated application. Finally, a practical study is conducted, and the investigation results show that technology information-enhanced constructivist teaching can improve effectiveness by facilitating flow experiences. In addition, real-time feedback on teaching evaluation is positively correlated with the overall assessment of learning effectiveness. [ABSTRACT FROM AUTHOR]

It is extremely difficult and stressful for dispatchers in digital and automated plants to schedule production efficiently, as they are prone to errors, which puts a high psychological and mental strain on them. To better support scheduling activities and generate a positive user experience, we have constructed a shop-floor scheduling service gamification solution "ZSchedule" by integrating game mechanics and elements into the shop-floor scheduling service system based on a five-dimensional workshop twin model. Real-time simulation of scheduling solutions and rapid feedback of results are realized by building workshop digital twin and scheduling evaluation system. To promote friendly interaction between dispatchers and "ZSchedule", this paper has constructed a gamified narrative context for scheduling competitions in "ZSchedule" that integrates narrative, real-time feedback, points, badges, leaderboards, and other elements. Players are defined as "The Brave" of the virtual scheduling world where they will participate in a "Scheduling Master" promotion competition and earn achievements by completing various challenges on the way to promotion. The purpose of this setting is to make scheduling operations more attractive, thus stimulating the initiative of scheduling staff and improving the efficiency and quality of operations. [ABSTRACT FROM AUTHOR]

• E-learning English platforms can provide students with intelligent entertainment experiences and real-time learning feedback. • This article analyzes the real-time feedback and E-learning intelligent entertainment experience of computer English communication. • The method designed in this article has higher accuracy and real-time performance, can timely identify learners' problems. Traditional E-learning usually lacks real-time feedback and interactivity, which can not meet the needs of students' personalized learning. Computer English communication is an important aspect of cultivating students' language communication ability, which has a positive impact on students' learning results. In order to realize the real-time feedback of computer English communication and E-learning intelligent entertainment experience, this study stimulates students' learning interest and improves their learning effect by providing real-time feedback and personalized learning content. With the development of computer network technology, E-learning English platforms can provide students with intelligent entertainment experiences and real-time learning feedback. This article analyzes the real-time feedback and E-learning intelligent entertainment experience of computer English communication based on deep learning. Firstly, an in-depth analysis was conducted on the characteristics of English communication. English communication has specific grammatical structures and professional terms, which require quick and accurate understanding and expression of information. On this basis, a training dataset was constructed, preprocessed and annotated, cleaned to remove irrelevant information and noise, and then corresponding labels were added to each data sample. Subsequently, the constructed dataset was used to optimize the deep learning and recurrent neural network models, and the model parameters were optimized using a backpropagation algorithm. The experimental results show that the method designed in this article has higher accuracy and real-time performance, can timely identify learners' problems and provide personalized feedback, accurately evaluate learners' communication ability, and provide targeted feedback. [ABSTRACT FROM AUTHOR]

Accident prevention on the manufacturing shop floor is essential. This paper aims to develop a proximity warning system capable of reducing accidents on the manufacturing shop floor, by notifying employers of any possible danger within the workplace. The system consists of an ultrasonic sensor, Arduino microcontroller, alarm system and an easy to understand user interface that can detect and alert workers within the danger zone. The system was developed using the Unified Modelling Language, python programming language and the Arduino software. Preliminary test conducted on volunteer participants revealed that the system is easy to use and provides real-time easy-to-understand audio and visual feedback to workers. The system is useful for reducing accidents on shop floors. [ABSTRACT FROM AUTHOR]

• Survey experiment among 1700 homeowners in Germany. • Incentivized elicitation of the demand for different types of efficient shower heads. • A regular low-flow shower head and a "smart" one that provides real-time feedback. • Respondents are willing to pay a price premium for the real-time feedback feature. Based on an incentivized survey experiment, we estimate the willingness-to-pay (WTP) for three types of efficient shower heads: (i) A "smart" shower head that provides real-time feedback, leading to behavioral changes that may reduce water and energy use. (ii) A "low-flow" shower head that reduces water and energy use by mechanically reducing the water flow. (iii) A low-flow shower head that additionally offers the real-time feedback function. The empirical results show that respondents expect the low-flow shower head to be the most resource conserving, while the WTP is higher for the smart shower head types. This suggests that respondents expect co-benefits from the smart shower head types beyond resource savings. Common arguments against the deployment of efficient shower heads, such as a reduced comfort or shower enjoyment, are not corroborated by our survey data, as only a minority agrees with such concerns. [ABSTRACT FROM AUTHOR]

Karate is a martial art that can be practiced using hands and feet to deliver and block strikes. Karate moves must be done in a certain way, many moves are practiced incorrectly during training. In this paper, we present a fully functional system which Karate players, coaches, judges and clubs could use. The system helps in capturing Karate moves using Kinect v2 sensor and analyzing these moves using F-DTW. Real-time feedback and a report are displayed to the users using a simple GUI (Graphical User Interface) that the users can easily use, to learn how a mistake was made, and how to fix it/learn from it. F-DTW was used for proving the concept, and an average accuracy of 90% was achieved. This Paper is mainly concerned about the moves named: Age-Uke, Mae-Geri, Gedan-Barai and Soto-Uke. [ABSTRACT FROM AUTHOR]

Hotel guests' behaviour is crucial to reduce water depletion, energy use and carbon emissions. In this covert field experiment we assessed the effectiveness of real-time feedback provided by smart water-saving technology in fostering hotel guests to shorten their showers. A 12,06% reduction in showering time (N=1,962) confirms that real-time feedback is effective in eliciting pro-environmental behaviour, even in hedonic contexts. Moreover, results suggest that even with no real-time feedback, the regular shower in a hotel may be shorter than at home. Tourism can be a force for good and the use of technology can shape pro-environmental behaviour among the public. [ABSTRACT FROM AUTHOR]

Excessive ventilatory volumes and rates during cardiopulmonary resuscitation (CPR) can lead to adverse effects, such as elevated intrathoracic pressure and decreased coronary blood flow. The 2020 American Heart Association (AHA) guidelines acknowledge the value of real-time feedback devices in improving CPR performance. In this case series, three out-of-hospital cardiac arrest cases received ventilation feedback during prehospital resuscitation and the initial in-hospital care phase. In each case, a notable increase in ventilation rate and volume was observed following the transfer of care from emergency medical services to hospital staff. This deviation from established ventilation guidelines emphasizes the importance of monitoring and addressing ventilation strategy during the transition to hospital care. Existing evidence supports the importance of maintaining specific ventilation rates and tidal volumes during cardiac arrest to improve outcomes. We believe further research is essential to establish a definitive link between ventilation strategies and patient outcomes, ultimately enhancing resuscitation efforts and patient survival rates. Integrating real-time ventilation feedback devices both in and out of the hospital during cardiac arrest presents an opportunity for quality improvement and adherence to national standards. [ABSTRACT FROM AUTHOR]

• New visual feedback for intra-procedure quality during live colonoscopy. • Quality metric from automated retroflexion detection. • Convolutional Neural Network models for video frame analysis. • Modular software architecture for adding new analysis models. • Lessons learned from deployment in a multi-center clinical trial. The quality of colonoscopy has been a subject of interest in the gastroenterology community for over two decades. High-quality colonoscopy leads to high polyp detection rates, reducing mortality associated with colorectal cancer. Methods : This paper describes the development and deployment of Endoscopic Multimedia Information System (EMIS), computer-aided software that provides real-time feedback on colonoscopy quality such as the endoscopist's techniques in inspecting the colon. On the contrary, most other software in this field aims to recognize polyps. The deployed version of EMIS includes new analysis components using Convolutional Neural Networks and new types of visual feedback. EMIS gives feedback only when an important change in the quality of the examination occurs. We present first-hand technical and operational challenges faced during our three-center trial and current solutions. Results : This work provides valuable information for others attempting to implement real-time feedback in routine colonoscopy screening. [ABSTRACT FROM AUTHOR]

Time from onset to reperfusion affects mortality and favorable outcomes in patients with acute ischemic stroke (AIS). To evaluate effects of a real-time feedback mobile application on critical time intervals and functional outcomes in stroke emergency management. We recruited patients with clinically suspected acute stroke from December 1st, 2020 until July 30st, 2022. All Patients had a non-contrast computed tomography (CT) and were included only if they had AIS. We divided the patients into two groups based on the date of availability on mobile application: pre-APP group and post-APP group. Onset to Door time (ODT), Door to Imaging Time (DIT), Door to Needle Time (DNT), Door to Puncture Time (DPT), Door to Recanalization Time (DRT), National Institutes of Health Stroke Scale (NIHSS) and modified Rankin Scale (mRS) were compared between two groups. We retrospectively enrolled 312 AIS patients who were assigned into the pre-APP group (n = 159) and post-APP group (n = 153). The median ODT time and median admission NIHSS score were not significantly different between the two groups at baseline assessment. The median (IQR) DIT [44 (30-60) min vs 28 (20-36) min, P < 0.01] and DNT [44 (36.25-52) min vs 39 (29-45) min, P = 0.02] both decreased significantly in two groups. However, median DPT and DRT time showed no significant differences. The proportion of mRS score of 0 to 2 at day 90 was significantly higher in the post-App group than in the pre-App group, at 82.4% and 71.7%, respectively (dominance ratio OR=1.84, 95% CI: 1.07 to 3.16, P = 0.03). The present findings indicate that the real-time feedback of stroke emergency management used by a mobile application have potential for shortening the DIT and DNT time and improve the prognosis of stroke patients. [ABSTRACT FROM AUTHOR]

3D contact force sensors were developed and integrated in a demonstration system for testing the feasibility of their application in minimal invasive surgery (MIS). Piezoresistive MEMS based vectorial force sensors were designed and fabricated by 3D silicon micromachining technology and packaged according to their proposed transducer and sensor applications. In this work we demonstrated the integrability and functional applicability of the 3D force sensors in MIS robotic systems to improve their flexibility and reliability by providing real-time force and tactile information during the operation. The final goal is to integrate the new subsystems in the Robin Heart surgery robot of FRK. [1] Three different functions are targeted: 1. Micro-joystick actuator to be integrated in the hilt of the laparoscope to easily control robotic movement during operation. 2. Force sensor inside the laparoscopic jaw to provide feedback to the surgeon by measuring the grasping strength and 3. 3D force/tactile sensor which facilitates palpation for tissue diagnostics during operation. In this paper we demonstrate a feasibility study regarding these proposed applications. [ABSTRACT FROM AUTHOR]

Objectives The purpose of this research was to evaluate the use of online peer evaluation forms for online group activities in improving group project outcomes. Design The investigator developed and used a web-based Google Forms® self and peer evaluation form of 2 group assignments' rubric for junior and senior nursing students. The form covered elements of the assignments including: research activity, analysis of the literature, writing of report, participation in making of presentation, overall contribution to the project, and participation in the weekly group discussions. Items were rated from 1 (did not contribute) to 5 (outstanding contribution) in addition to NA when one activity did not apply. Procedure The self and peer evaluation process was conducted twice: once after group assignment 1 and once after group assignment 2. The group assignments final products were done in the form of VoiceThread online presentations that were shared with the rest of the class reflecting the groups' work on a health informatics topic of interest. Data sources Data collected as the students completed self and peer evaluations for group assignments 1 and 2. Also, optional comments regarding member performance were collected to add contextual information in addition to ratings. Students received credit for completing the peer evaluations and the grade for the particular assignment was affected by their performance based on peer evaluations of their contributions. Results Students' peer evaluations showed in a color-coded spreadsheet which enabled the course faculty to view real time results of students' ratings after each assignment. The faculty provided timely and tailored feedback to groups or individuals as needed, using positive feedback and commending high performance while urging struggling individual students and groups to improve lower ratings in specific areas. Comparing evaluations of both assignments, there were statistically significant improvements among all students. The mean scores of the entire sample were skewed toward the higher end of the scale, suggesting an overall high performance group. However, analysis of the lower performing individuals showed consistent and statistically significant improvements in all areas of the evaluation criteria. Conclusions Anonymous peer evaluation activities and timely faculty feedback in e-Learning environment can be a useful tool to faculty to improve group performance over time by engaging the learners within their groups. Peer evaluations provided real time view of group mid-semester formative evaluations that allowed the faculty to provide timely and tailored feedback on student performance which allowed for better outcomes. [ABSTRACT FROM AUTHOR]

Electric power demand management will play an important role in the creation of smart-energy communities. We are conducting a field experiment on the real-time feedback of electric power consumption via smart meters and tablet PCs with the participation of 51 households on Nushima Island, one of Japan's remote islands. Our estimate of the effect of feedback in reducing power demand by panel data analysis has revealed that such feedback achieves a saving of 7.6 percent in electric power demand. [ABSTRACT FROM AUTHOR]

Abstract: Biomechanical feedback in water-based rowing is traditionally presented as paper reports or video overlaid with data once a session has been completed. Research into the provision of extrinsic feedback in sport suggests that real-time feedback can lead to skill acquisition and, when appropriately applied, lead to skill retention during competition and therefore a positive performance outcome. This paper presents a novel system architecture that delivers real-time feedback using commercially available off-the-shelf components. The development of a rowing specific system to test a range of feedback strategies is presented, including fading feedback, mixing feedback modalities and varying of the frequency and timing of feedback. MoSync, a cross-platform smartphone development language, was used to write the client application while the server was written as an embedded application in C and Lua that ran on top of the OpenWrt open-source router operating system. Data was transmitted wirelessly across a Wi-Fi network. A human-centred design process was led by a group of high-performance athletes and coaches and the system was shown to deliver data to up to 10 clients simultaneously. Future research will investigate the efficacy of a variety of different feedback strategies to rowers. [Copyright &y& Elsevier]

Abstract: The decision-making activities through all the design process are crucial for the final product success but currently there are limited computational tools available to provide better support to the designer especially at the earlier stages of the process. In addition the cost of fixing errors or making changes to a design escalates dramatically as the design advances in the product lifecycle. Besides, these activities, in a global design scenario, occur in different time and places, leading to a flexible and light solution that needs to be available for different users. Here is proposed an Augmented Reality (AR) application for Android mobile devices for getting feedback, via internet of a target user, in order to enhance the evaluation of aesthetical response in the conceptual design of discrete products [Copyright &y& Elsevier]

The article presents a study conducted on measuring and motivating student effort in an online version of the core class in operations management. The study consists of multi-dimensional measures of courseware usage and provides real-time effort-related feedback. The study found significant improvements in the usage of online courseware components, course evaluation scores, and student grade averages.

Summary: The goal of this pilot study was to determine whether the ability to change the degree of posterior glottal adduction (PGA) during phonation can be acquired more easily with the aid of electroglottographic (EGG) real-time feedback. The subject was a 37-year-old untrained female with habitually breathy voice. Before the experiment, she participated in one voice coaching session where exercises for increasing PGA were explained and executed. During the experiment, phonation has been monitored simultaneously with videostroboscopy, electroglottography, and audio recording. While phonating, the subject saw amplitude and period normalized EGG waveform representing one glottal cycle consecutively changing over time. The assignment was to increase the width of the EGG waveform during phonation. Laryngeal imaging revealed a posterior glottal chink during habitual phonation. The subject could only introduce intentional changes into the EGG waveform after its relevance had been explained, and after recapitulation of the exercises of the voice coaching session: An increase of the EGG waveform width coincided with the increase of high-frequency partials and an increase of PGA. For pitches B3 and B4, full glottal closure could be achieved. At G5, a reduction of the posterior glottal chink occurred. The findings of this study suggest that the skill to control the degree of PGA can be acquired, and that EGG real-time feedback can be a crucial element in optimizing the process of skill acquisition, but only if (1) the context and nature of the feedback is explained and (2) proper instructions are provided. The EGG contact quotient might not be sensitive to changes of PGA in falsetto phonation. [Copyright &y& Elsevier]

The article explains the development of a real-time performance measurement and feedback system for training alpine skiers through the use of Optical Navigation Technology (ONT). The importance of the appropriateness and timing of feedback in improving the performance of athletes is explained. Based on the results of the study, ONT was able to help the participants in understanding their carving skills and improve them.

• Green infrastructure can be multifunctional, addressing stormwater management while at the same time improving quality of life in communities across a broad variety of metrics. • This study presents a novel collaborative process to improve community engagement in the design and implementation of urban green infrastructure. • We used an iterative structured community engagement process to identify and prioritize social and ecological objectives to guide the design of green infrastructure projects in Detroit's Eastside. • Community objectives were incorporated into an online decision support system (Land.Info) composed of a realistic 3-D digital representation of the urban landscape and which provided real-time feedback on green infrastructure design performance based on these community-identified objectives. Municipal governments are increasingly looking to green infrastructure to address climate-related flooding and water quality issues, and as a cost-effective way to augment aging 'grey' stormwater infrastructure. There is also a great deal of interest in more fully involving citizens in efforts to increase the amount of green infrastructure in cities. Despite this acknowledgement of the importance of public engagement, however, many green infrastructure initiatives still adhere to a top-down and expert-driven process of site selection and design. This mismatch between process and engagement ideals can lead to suboptimal outcomes in terms of sustaining these projects over the long term, the achievement of multifunctional and inclusive spaces, and missed opportunities to increase civic capacity to participate in and drive urban planning initiatives. Further, the turn to green infrastructure has been criticized for not including a diversity voices in planning, design and implementation, with green gentrification occurring as a result. Thus, the objectives of this research were to, in collaboration with communities, (i) use structured elicitation to establish social and ecological priorities (in the form of key ecosystem services and disservices) to inform a community-based GI design and planning process, and (ii) use this collaboration to inform the development of the Land.Info DSS that creates realistic representations of site scale landscape change and incorporates community identified priorities as real-time feedback. Community members reported that including their design objectives in the Land.Info design tool helped to guide their green infrastructure designs and that they modified their designs in response to the feedback provided within the interface. Additional desired outcomes of this research were to provide a vehicle for improved public engagement and learning opportunities for GI planning, design and implementation, and to develop a reliable and scalable method for incorporating community values and needs into these processes. Providing residents with meaningful opportunities for input and collaboration in urban landscape planning and design aligns with the growing interest in democratizing the design, management, and governance of public spaces. [ABSTRACT FROM AUTHOR]