Reviewerly/exHarmony huggingface dataset:
Peter 2.0: Building a Cyborg

Peter Scott-Morgan has MND/ALS. He is now paralyzed and depends on technology to keep him alive and communicate with others. In this paper we outline the design and creation of unique communication system driven by an open source eye-tracking interface (ACAT ) which aims to preserve Peter’s character through: 1. A cloned artificial voice, 2. An animated avatar. We describe the AI techniques adopted, the interface design and integration process for what is fundamentally an applied accessibility AI project. Finally we discuss Peter’s use of the word “transitioning cyborg” to describe his take-up of AI support technology.
Single image reflection removal through multi‐scale gradient refinement

Removing the undesired reflection layer from images taken through glass windows is an important yet challenging task. Many existing CNN-based methods try to utilize the gradient as an important clue to guide the training and achieve better separation. But the scene depth of real-world scenarios is usually uncontrollable, leading to the uncertainty of smooth level in the transmission and reflection layers, which makes it a great challenge to model the two layers in the gradient domain. This paper proposes a multi-scale gradient refinement network to resolve this problem. First, it is suggested that even the two layers are usually partially smooth, their gradients can still be sharp in the down-scaled samples. To this end, the separation is conducted at four different scales by minimizing the similarity of the two layers to boost the gradient sharpness prior. Second, it is considered that the separation performance of downscaled samples is usually superior to that of the high-resolution images because of the sharper edges. For this reason, a cascade architecture is designed that takes the down-scaled predictions to promote the high-resolution decomposition stage-by-stage to recover the full-resolution results. Besides, the scale-wise memory mechanism is introduced into the prediction network to resolve the detail loss issue caused by the multi-stage upscaling refinement process. The experimental results on benchmark datasets indicate that the new model surpasses several state-of-the-art methods.
Sound Feedback for Social Distance: The Case for Public Interventions during a Pandemic

Within the field of movement sensing and sound interaction research, multi-user systems have gradually gained interest as a means to facilitate an expressive non-verbal dialogue. When tied with studies grounded in psychology and choreographic theory, we consider the qualities of interaction that foster an elevated sense of social connectedness, non-contingent to occupying one’s personal space. Upon reflection of the newly adopted social distancing concept, we orchestrate a technological intervention, starting with interpersonal distance and sound at the core of interaction. Materialised as a set of sensory face-masks, a novel wearable system was developed and tested in the context of a live public performance from which we obtain the user’s individual perspectives and correlate this with patterns identified in the recorded data. We identify and discuss traits of the user’s behaviour that were accredited to the system’s influence and construct four fundamental design considerations for physically distanced sound interaction. The study concludes with essential technical reflections, accompanied by an adaptation for a pervasive sensory intervention that is finally deployed in an open public space.
Experimental evaluation of differential fault attack on lightweight block cipher PIPO

The recent development of Internet of Things (IoT) devices has increased related security issues. Because of the rapid increase in the use of these devices, the possibility of accessing and hijacking cryptographic devices is increasing. Consequently, active research on cryptographic technologies capable of providing a safe environment even in resource-constrained environments has been undertaken. As a result of their physical accessibility, devices are becoming more vulnerable to Side-channel analysis (SCA) security issues. To address these issues, PIPO, a lightweight block cipher, was recently proposed in ICISC 2020. The PIPO has the characteristic of providing robust security strength while having less overhead when using the SCA countermeasures. A Differential fault attack (DFA) is a type of SCA that induces fault in cryptographic operations and utilises difference information that occurs. Differential fault attacks on the PIPO have not yet been studied. For the first time, this study proposed a single-bit flip-based DFA on the PIPO. Through 64 fault ciphertexts, the proposed attack has a 98.8% probability of recovering the correct secret key of PIPO 64/128. We evaluated the proposed attack not only through simulation but also through electromagnetic fault injection (FI). Hereinafter, we were able to confirm that our attack is capable of being applied to real world devices. Therefore, the PIPO without FI countermeasure provides no security against differential fault attacks. When using the PIPO cipher on IoT devices, designers must use appropriate countermeasures against FI attacks.
The Development of Route Selection Application to Avoid Flood Roads

Street flooding is one of the problems faced by urban communities around the world, including Indonesia. The problem of street flooding is caused by various factors, including high rainfall and poor drainage. This problem certainly causes a lot of losses for road users, including vehicles becoming dirty and more severe damage. Therefore, it is necessary to choose the alternative route so that road users avoid the danger of flooding. This paper will discuss the development of applications that provide information to road users alternative routes to avoid flooded roads. An informed search algorithm called A* or A-star was employed to find the alternative paths. All flood road information, built from road users who share information through mobile applications.
An improved method for accurately extracting feature information of robot environment modeling based on stereo vision

Robot 3D vision inspection plays a very important role in intelligent manufacturing process such as automated picking, obstacle avoidance, path planning and so on. Recently, there is a need for a fast detection method that has applicability to complex environments, strong anti-interference capabilities, and balances speed and accuracy to meet the above requirements. An environment feature detection method based on laser-assisted machine vision is proposed. By illuminating the grid structure to the target scene, the binocular camera is used to collect the grid image on the surface of the target scene. Then A two-step feature extraction method is proposed, which is locating the feature position quickly first, and then accurately obtaining the coordinate of the feature point. Firstly, an improved fast extraction method is proposed to realize the fast recognition of feature points. Secondly, in the aspect of accurate acquisition, a new improved steger fitting method is proposed to accurately extract the position of feature points. Finally, fast matching and reconstruction of the exact position of feature points on the two images collected by binocular camera are implemented to achieve fast and high precision 3D detection. This experiment has verified the rationality of the system scheme, the correctness, the precision and effectiveness of the relevant methods.
The impact of locomotion techniques on user experience on virtual reality on light of different scene contrasts

Abstract Locomotion techniques are an important part of the virtual reality (VR) experience, as they enable a means of movement within simulated computer graphics. Studies have shown that locomotion techniques cause unpleasant effects related to cybersickness. In this article, we report on the results of a user study (N = 29) aimed to investigate and compare three types of locomotion techniques in VR in terms of their impact on cybersickness. The different locomotion techniques are tested in two different contrast scene settings, daytime and nighttime, to further explore the potential impact of scene contrast adjustments. For the evaluation of cybersickness, we used a questionnaire to obtain subjective ratings, and heart rate monitoring as an objective metric. Results show that a linear movement locomotion technique provokes the highest level of cybersickness, and that women have a higher heart rate as compared to men when navigating and interacting in a VR scene. Regarding the influence of scene contrast, results showed that scenes with daylight were better suited to participants in almost all tested scenarios. In addition to reported findings related to locomotion techniques and the impact on cybersickness, we highlight that a key contribution is the utilized test methodology.
Adaptive Massively Parallel Algorithms for Cut Problems

We study the Weighted Min Cut problem in the Adaptive Massively Parallel Computation (AMPC) model. In 2019, Behnezhad et al. [3] introduced the AMPC model as an extension of the Massively Parallel Computation (MPC) model. In the past decade, research on highly scalable algorithms has had significant impact on many massive systems. The MPC model, introduced in 2010 by Karloff et al. [16], which is an abstraction of famous practical frameworks such as MapReduce, Hadoop, Flume, and Spark, has been at the forefront of this research. While great strides have been taken to create highly efficient MPC algorithms for a range of problems, recent progress has been limited by the 1-vs-2 Cycle Conjecture [20], which postulates that the simple problem of distinguishing between one and two cycles requires Ω(log n) MPC rounds. In the AMPC model, each machine has adaptive read access to a distributed hash table even when communication is restricted (i.e., in the middle of a round). While remaining practical [4], this gives algorithms the power to bypass limitations like the 1-vs-2 Cycle Conjecture.
Digital educational reading (on the example of the university library)

In the sphere of higher education electronic library systems (ELS) – external or internal, – acquired to the library collections, are the basic digital educational resources. Their qualitative characteristics are not normatively defined, but are related to similar characteristics of individual electronic documents.The predominant number of electronic EBS documents are derivative electronic publications that completely copy the printed analogue. The form and method of organizing the text of such documents does not take into account the specifi of scanning reading, which is characteristic of modern students. The importance of electronic resources in the information support of the educational process in universities necessitates the study of digital educational reading, which will increase their effectiveness. To test the hypothesis, starting from the 2021/2022 academic year at the Bashkir Institute of Physical Culture (Bashkortostan, Ufa), the study is being conducted among full-time and part-time students, the purpose of which is to compare the effectiveness of reading educational printed and electronic publications. Quantitative research methods are indicators “reading time” and “number of keywords”. Writing abstracts has become a qualitative indicator for to study the reading comprehension. Up to 01.03.2022, 73 students took part in the study. The analysis of the results showed that the speed of reading electronic texts is higher if compared to reading printed publications. But the indicators of meaningful perception are higher among students reading printed text. The purpose of the article is to present the results of the research that may be taken into account and will become useful when organizing the educational process.
Virtual Journey through a Bacterial Infection, a 360 Degree Video Interactive Tour

Microbiology students have problems understanding the microbial world and its interactions because they have lost the interest and motivation for self-learning. This proposal consists of offering students an imaginary trip through virtual video in which the students can achieve a total immersion in the microbial world and in that way, their interest and commitment to their learning will increase hugely. We applied to 94 students distributed in three groups of Fundamentals of Microbiological Systems. We used a 360-degree interactive video that simulated a bacterial infection in situ, showing virtual environments. Qualitative and Quantitative tests were carried out and we measured the acquisition of knowledge and satisfaction level of the students. A significant increase in the average grades of the students was observed. In fact, after using the video, they passed the test with higher grades (around 90 points). Then if they had not seen the video, as the control group whose grades failed with less than 70 points. Moreover, the students expressed that their satisfaction level was very high and they found very useful the application of the interactive videos to learn subjects from health or medical areas, as in this case microbiology.
Development and application of line measurement Linnik-type white light dispersive interferometer

Semiconductor processing technology is the foundation of the development of semiconductor industry, and the manufacturing level will affect the key parameters of semiconductor products. Therefore, it is necessary to develop metrology technique that matches the current semiconductor processing accuracy. White light dispersive interferometry (WLDI) technology, as a highresolution optical metrological technique for measuring complicated surfaces, has been applied in the technical research in the semiconductor inspection. In this paper, the set-up of Linnik type line-scan WLDI system is developed, and the data processing algorithm is proposed to realize the simultaneous measurement of the surface profile and film thickness with high measurement efficiency. The experimental results indicate the current system has a good measurement performance.
Geometrical parameters evaluation method of aspheric micro-lens by using white light interferometer

Aspheric micro-lenses provide excellent imaging performance and can effectively reduce the complexity of optical system implementation, but the current detection technology for aspheric micro-lens still faces problems with imperfect measurement parameters and implementation constraints. In this paper, a method for evaluating the geometric parameters of aspheric micro-lenses achieved by white light interferometry technology is proposed, which evaluates the geometric size, roughness, and surface error of aspheric micro-lenses. We have adopted a white light interferometer to measure the aspheric micro-lens and experimentally evaluated the geometrical parameters of the sample, the results proved the feasibility of our proposed method.
Incorporating Fuzzy Cognitive Inference for Vaccine Hesitancy Measuring

Vaccine hesitancy plays a key role in vaccine delay and refusal, but its measurement is still a challenge due to multiple intricacies and uncertainties in factors. This paper attempts to tackle this problem through fuzzy cognitive inference techniques. Firstly, we formulate a vaccine hesitancy determinants matrix containing multi-level factors. Relations between factors are formulated through group decision-making of domain experts, which results in a fuzzy cognitive map. The subjective uncertainty of linguistic variables is expressed by fuzzy numbers. A double-weighted method is designed to integrate the distinguished decisions, in which the subjective hesitancy is considered for each decision. Next, three typical scenarios are constructed to identify key and sensitive factors under different experimental conditions. The experimental results are further discussed, which enrich the approaches of vaccine hesitancy estimation for the post-pandemic global recovery.
Three-dimensional measurement with stereo polarization digital image correlation method insensitive to ambient light

The measurement of the external topography and deformation of large industrial equipment is important. Photoelectric measurement technology can quickly obtain three-dimensional (3D) topography information of components and equipment. Among them, stereo digital image correlation (stereo-DIC) is a 3D measurement method which combines binocular stereo vision system and digital image cross-correlation matching technology. This method has many advantages such as non-contact, wide measuring range, high speed and single frame reconstruction. However, this passive optical measurement method is prone to the interference of ambient light and the impact of high reflective surface, resulting in data loss, which limits the application scenarios of this method. This paper proposes a method of 3D reconstruction against ambient light based on stereo polarization digital image correlation (stereo-PDIC). In this method, speckle is generated by a laser beam irradiating a ground glass and is then projected onto the surface of the target. The polarization speckle image in single frame and multiple polarization channels is collected by binocular polarizing cameras. The influence of the reflected stray light and ambient light is eliminated and the contrast of speckle image is improved. Stereo matching of the speckle images with the corresponding angle of polarization captured by the binocular polarizing cameras is carried out, and finally the 3D reconstruction of the target is completed. The feasibility of this method is verified by both simulation and experiment.
Reading preferences during the pandemic (based on the materials of Russian and English speaking social networks)

Book communication has changed considerably caused by the coronavirus pandemic (COVID-19) and restrictive measures in order to minimize its spread. It has manifested itself in isolation of people from each other, including self-isolation, and the predominance of the online format over alternative ways of activity (mixed and offline format). The article examines interests and motivation of readers during the pandemic period in the book social networks in order to determine the features of readers’ preferences when implementing social reading in the Russian and English Internet environments. To achieve the aim, the following tasks have been set: 1) to find relevant (i. e. with up-to-date information on them and with at least a million users) Russian and English book social networks that provide the opportunity for book communication; 2) tto analyze social reading on the selected networks; 3) to compare the obtained data in accordance with the certain criteria. The book social networks LiveLib and BookMix have been chosen as the material for the analysis of the Russian-language segment of the Internet, and the book social network Goodreads and the LibraryThing web application – to analyze the English part of the Internet. This material has been considered according to the following criteria: 1) genre and themes of books discussed on the online platforms; 2) motivation and expectations of book readers when choosing a certain kind of literature during the period under study. To determine the peculiarities of Russian-speaking and English-speaking readers, discussing books they have read in the Internet, methods of comparative analyses of the data obtained from both Internet segments and their generalization have been used.
Perspectives on the Collection of Health-related Data in Long-term Care

research-article Share on Perspectives on the Collection of Health-related Data in Long-term Care Authors: Wiktoria Wilkowska Chair of Communication Science, RWTH Aachen University, Germany Chair of Communication Science, RWTH Aachen University, GermanySearch about this author , Julia Offermann Chair of Communication Science, RWTH Aachen University, Germany Chair of Communication Science, RWTH Aachen University, GermanySearch about this author , Martina Ziefle Chair of Communication Science, RWTH Aachen University, Germany Chair of Communication Science, RWTH Aachen University, GermanySearch about this author Authors Info & Claims PETRA '22: Proceedings of the 15th International Conference on PErvasive Technologies Related to Assistive EnvironmentsJune 2022 Pages 137–145https://doi.org/10.1145/3529190.3529198Published:11 July 2022Publication History 0citation14DownloadsMetricsTotal Citations0Total Downloads14Last 12 Months14Last 6 weeks4 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my Alerts New Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Measurement of surface shape and deformation of small-aperture mirrors based on coaxial normal incidence speckle deflectometry system

For small-aperture aspheric mirror surface measurement, the traditional measurement method phase measuring deflectometry (PMD) requires multi-step phase shifting, and the result is not high in accuracy and complicated in operation. The digital image correlation (DIC) that can be used for transient measurement is mostly used for diffuse reflection. surface. At present, a speckle deflection technique combining the former two methods has appeared, but its optical system is based on the traditional triangulation method, which has problems of angle occlusion and defects. This paper improves the speckle deflection algorithm and optical path system, replacing the traditional triangulation optical path system with Coaxial normal incidence speckle deflectometry system (CNISDS), adding a plate beam-splitter and a telecentric camera. On the one hand, it can avoid the changes in the shape of the captured image caused by perspective, and on the other hand, it can effectively avoid angle occlusion and missing information. Among them, the DIC method is used for image matching, the PMD method is used to calculate the displacement distribution. Then use the slope data to calculate to reconstruct the surface shape. The improved method can measure absolute surface shape and deformation at the same time, and has the advantages of simple measurement steps, fast response speed, and low cost. Finally, the correctness and feasibility are verified by simulation and actual measurement with deformable mirror. Compared with the phase-shifting operation which has complex steps or the low-precision mirror profile measurement results, the improved method is effective and superior, and provides a new idea for measuring small-aperture aspheric mirrors.