Reviewerly/exHarmony huggingface dataset:
SHAPES Project Pilots' Self-assessment for Trustworthy AI

The Assessment List for Trustworthy AI (ALTAI) was developed by the High-Level Expert Group on Artificial Intelligence (AI HLEG) set up by the European Commission to help assess whether the AI system that is being developed, deployed, procured, or used, complies with the seven requirements of Trustworthy AI, as specified in the AI HLEG's Ethics Guidelines for Trustworthy AI. This paper describes the self-evaluation process of the SHAPES pilot campaign and presents some individual case results applying the prototype of an interactive version of the Assessment List for Trustworthy AI. Finally, the available results of two individual cases are combined. The best results are obtained from the evaluation category ‘transparency’ and the worst from ‘technical robustness and safety’. Future work will be combining the missing self-assessment results and developing mitigation recommendations for AI-based risk reduction recommendations for new SHAPES services.
Modelling Safety of Connected and Autonomous Vehicles (CAVs) under Cyber-Attacks on Perception and Safety Monitors

CAVs have recently attracted interest both for researchers and automotive industry. Among the various issues with the design of Autonomous vehicles (AV) including CAV, safety and security assurance as well as dealing effectively with the trade-off among these have been recognized as very important. The debate regarding what level of safety and security of (C)AV is socially acceptable is very active at the moment [1], [2]. In this paper, we present a probabilistic modelling approach to dealing with the problem of safety assessment of CAV under cyber-attacks, and demonstrate its plausibility and usefulness in ranking various modes of vulnerability of the essential components of (C) AV such as the AV perception system and safety monitors.
Domain Specific Modelling and Language for Safety-Critical and Security-Critical Requirements Engineering

The paper is devoted to the convergence of critical and non-critical IT in the area of Business Analysis and Requirements Engineering. We consider Domain Specific Modelling (DSM) and Domain Specific Language (DSL) as promising points to improve Requirements Engineering maturity and quality in a safety-critical and security-critical domain. The paper presents a DSM-based procedure of knowledge management that can be implemented in a software engineering company to support the reuse of domain knowledge and technical solutions. Afterward, we select Gherkin language as a sample of DSL-based requirements elicitation, analysis, documentation, and validation in a frame of Behavior Driven Development. To provide a DSM&DSL-based Requirements Engineering technique we analyzed Gherkin's applicability for different kinds and levels of critical requirements.
Approach to Coding with Improved Integrity of Video Information for Transmission in Wireless Infocommunication Networks

Telecommunication networks using wireless platforms are studied. The requirements concerning the quality indicators video information resource have been substantiated. It takes into account their use in the critical infrastructure system. Problematic aspects that arise in the process of delivering video information in infocommunication systems using wireless telecommunication platforms are identified. The level of information loss in case of interference in the process of transmission by telecommunication networks is estimated. It is shown that this level is significant, and such that leads to loss of video resource. The existing directions of video information reliability increase with use redundancy elimination technologies are investigated. The video information integrity increasing direction in terms of time delays required level ensuring for its delivery by telecommunications networks is substantiated.
Quadrature Compression Technology in Two-Level Polyadic Space for Infocommunication Systems

The article develops a method for encoding quadratures transformer wavelet transformation. To encode them, it is proposed to carry out local segmentation into smaller blocks. Each block is considered from the standpoint of applying block codes. For encoding, it is proposed to use a two-level polyadic encoding. In this case, the structural redundancy of the transformer quadratures is reduced. To reduce processing time and the amount of service information, dynamic coding technology is being created in a polyadic space. The results of experimental studies are given. The analysis of which allows us to assert the effectiveness of the developed method.
Method of Coding Subbands of Non-Homogeneous Spectrum of Video Segments in Uneven Diagonal Space

It is substantiated that important in this direction is the issue of ensuring security and the necessary quality of information service provision, including the timely transfer of various types of information with sufficient quality and reliability. It is established that video information is of special importance here. However, the required bit rate level of video stream transmission is possible only in conditions of low quality of video segments. Therefore, a significant imbalance between the information load and the bandwidth of information communication networks contributes. This becomes a causal factor in the loss of the level of credibility and adequacy of video information. So, it is shown that the current issue of research concerns the improvement of the quality of providing video information services using the mobile segment on the basis of eliminating the imbalance between the significant intensity of video information flows and the limited productivity of information communications. The article proposes to use an approach based on the processing of a sequence of video segments in temporal and intra-frame spaces using the detection and elimination of new structural-statistical and structural and contextual regularities in the spectral basis. Here, to build new approaches to coding video segments, including informative video segments, it is proposed to use the theoretical foundations of non-equilibrium positional coding in spectral space.
Method Taking into Account Level of Structural and Statistical Saturation of Video Segments in the Coding Process

At the same time, in order to reduce the number of arithmetic operations that additionally need to be spent on typing sections of the video frame, it is proposed to use structural and statistical properties of a nature based on the installation and parameterization of areas of permissible correction, including the area of slight change in the values of bright or colored components. Accordingly, the change in the level of saturation of the site with detailing information will manifest itself in an adequate change in the size of the critical infrastructure systems. The main stages for the development of a method of compact syntactic representation of segments of video frames, which are significant in their impact on the preservation of the video resource, and do not contain microsegments that have an insignified level of SS saturation, are provided and are given. It is shown that the reduction of bit volume is achieved on the basis of a reduction in the process of encoding the amount of redundancy of the following types: structural by limiting the maximum length of the spectral comopnent; code in the presence of an extra number of older bits in the codegrams of significant components.
The Methods of Intellectual Processing of Video Frames in Coding Systems in Progress Aeromonitor to Increase Efficiency and Semantic Integrity

The possibility of constructing a methodology and theoretical foundations for effective coding of the contextual content of video frame segments is substantiated. The methodology is based on the intelligent identification of video frame segments. The theoretical base is aimed at automating the process of determining the degree of semantic content of video frame segments. It is creating a method for intelligent processing of VIR with an assessment of the information content of the semantic content of video segments and its coding that aimed at preserving the contour information. It is developing recommendations regarding the evaluation of semantic synthesis metric complexity of VIR segment information in its contour. It is constructing a method of identifying the semantic level of video frame segments is built.
Steganographic Coding Technology for Hiding Information in Infocommunication Systems of Critical Infrastructure

The material article is devoted to the study problem information protection based on the use of steganographic transformations. The class of methods of steganography using containers based on video images is considered. Systemic shortcomings of existing approaches to the direct embedding hidden messages are identified. The direction creation of new steganographic systems is substantiated. Such systems are built using the existing structural redundancy. In this case, we are talking about creating steganographic coding. The possibilities of embedding bits of messages at different positions of polyadic numbers are investigated.
Technology of Structural-Binomial Coding to Increase the Efficiency of the Functioning of Computer Systems

The paper considers the trends in the development of infocommunication systems. The existence tendency regarding the widespread use of video information services is substantiated. Including such services are used in the process functioning of critical infrastructure systems. Consequently, the requirements for the timeliness and integrity of information increase. In this case, it is necessary to additionally reduce the bit volume. The disadvantages of modern coding methods are investigated. On the basis of which a new direction is chosen for the construction of coding systems. The main stages of structural binomial coding technology are taught.
Method of Structural-Statistical Coding of Video Segments in Spectral-Cluster Space

The article provides a general description of the problems of ensuring the necessary quality indicators of remote video service provision. The reason for this is the imbalance between the reliability of the received video information and time delays in the process of delivering video information over wireless communication channels. The destruction of existing wireless infocommunication technologies, which is the cause of disruption of the decision-making process in critical infrastructure systems, is briefly disclosed. It is proposed to solve the imbalance of video information delivery by using a set of technological solutions. The main component here is the use of technologies to reduce the bit rate of the video stream. The disadvantages of existing methods of reducing the bit rate of the video stream are substantiated. Among such disadvantages of the methods is that they have low efficiency: in terms of bit rate reduction and resistance to channel interference. It is proposed to solve the imbalance of reducing the bit intensity of the video stream by coding video data as part of integrated image processing technologies. Such technologies provide: additional consideration of new types of redundancy that are not related to the exclusion of psycho-visual redundancy; the construction of code structures with greater resistance to the negative impact of channel errors on the process of decoding video data. The technology of structural-statistical coding in the spectral-cluster space of the image transform is proposed. This technology is based on the principle of the duality of transformant components. The clustering of image transforms is proposed to be carried out in the binary space of their components. This creates conditions for simplifying the process of evaluating information characteristics and the formation of code values in binary space. As such information characteristics, it is proposed to use the number of series of units in the binary representation of the transformant components. The stages of the technological process of structural-statistical coding in the spectral-cluster space of the image transform are revealed.
Nano-MOSFET – Foundation of Quantum Computing Part I

As big strides were being made in many science fields in the 1970s and 80s, faster computation for solving problems in molecular biology, semiconductor technology, aeronautics, particle physics, etc., was at the forefront of research. Parallel and super-computers were introduced, which enabled problems of a higher level of complexity to be solved. At about the same time, Nobel-laureate physicist Richard Feynman launched what seemed at the time a wild idea; to build a computer based on quantum physics concepts such as superposition and entanglement [1]. The outrageousness of his ideas is documented in the book “Surely, You’re Joking, Mr. Feynman” [2].
Policy for AI as a System Technology

Abstract Artificial intelligence is not just another technology – it is a ‘system technology’ that will fundamentally change our society. That is the key message of this report. Government and society therefore need to be much more aware of and actively involved in AI’s integration into daily life. The government in particular needs to focus on five overarching tasks to help shape the integration process, because only then will it be able to continue to protect the civic values affected by AI. Such a challenge demands a policy infrastructure that reflects both a political and an administrative commitment.
Automatic Identification and Geo-Validation of Event-Related Images for Emergency Management

In recent years, social platforms have become integrated in a variety of economic, political and cultural domains. Social media have become the primary outlets for many citizens to consume news and information, and, at the same time, to produce and share online a large amount of data and meta-data. This paper presents an innovative system able to analyze visual information shared by citizens on social media during extreme events for contributing to the situational awareness and supporting people in charge of coordinating the emergency management. The system analyzes all posts containing images shared by users by taking into account: (a) the event class and (b) the GPS coordinates of the geographical area affected by the event. Then, a Single Shot Multibox Detector (SSD) network is applied to select only the posted images correctly related to the event class and an advanced image processing procedure is used to verify if these images are correlated with the geographical area where the emergency event is ongoing. Several experiments have been carried out to evaluate the performance of the proposed system in the context of different emergency situations caused by earthquakes, floods and terrorist attacks.
Exploring the feasibility of augmented reality game-supported flipped classrooms in reading comprehension of English for Medical Purposes

This quasi-experimental study explored the feasibility of the augmented reality game-supported flipped classrooms for English for Medical Purposes reading among 464 students from the Isfahan University of Medical Sciences in two phases. In the quantitative phase, the participants watched the pre-recorded lectures on English for Medical Purposes reading and took part in the assessment. Then, they gathered in small teams to practice reading through the Commercial-Off-The-Shelf or self-made augmented reality games under the surveillance of the teachers. In the qualitative phase, focus-group interviews were conducted to debrief students’ perceptions of English for Medical Purposes reading in the augmented reality game-supported flipped classrooms. Repeated measures ANCOVA and ANCOVA were used to analyze the quantitative data. The qualitative data were analyzed through thematic analysis. The finding showed that learning English for Medical Purposes in the self-made-augmented reality game-supported flipped classrooms resulted in better reading in academia and the field than learning in the Commercial-Off-The-Shelf augmented reality game-supported flipped classrooms. In these classrooms, students who practiced reading in the heterogeneous small teams made more significant progress; they outperformed those in the small homogeneous teams. The participants highlighted their positive perceptions of hands-on learning for streamlining the self-made augmented reality games in flipped classrooms. The results are discussed in detail.
Methodology and Tool Development for Mobile Device Cameras Calibration and Evaluation of the Results

In this paper, a procedure for calibrating the image sensors of mobile devices and evaluating their results was developed and implemented in a software application. Regarding the calibration, two methods were used, an OpenCV function and a photogrammetry method, which used the same camera model. In evaluating the calibration results, a method is proposed that uses single-image rectification to examine the performance of the calibration parameters in a practical and supervisory way. After an experiment followed by a study, a standard is proposed regarding the number and shooting angles of the photographs that should be used in the calibration. During the development, problems related to processing large images and automating processes were solved. Finally, the procedure and software application were tested in a case study.
Chulalongkorn Interactive Virtual Memorial Hall (Museum)

Chulalongkorn University Memorial Hall is an important historic landmark in Thailand that collects and displays valuable and interesting documents and items from the history of the Chulalongkorn University, which is the first university established by the Thai dynasty. Many notable historical relics from Chulalongkorn University have been displayed for visitors inside the museum, including a miniature of King Chulalongkorn's equestrian statue, a coronet (Phra Kiew), and a graduation gown. Over the past two years, due to the COVID-19 situation, the number of visitors to the museum has been restricted. Therefore, we propose to solve this problem by introducing a virtual tour using virtual reality to cope with this challenging situation. This paper presents a description related to the Chulalongkorn University memorial hall in terms of 3D models through interactions in a virtual reality world, in which users gain in-depth experience and knowledge about the history of the Thai Royal and the Chulalongkorn University. Both the internal and external of the Chulalongkorn University Memorial Hall building are reproduced in 3D models, including furniture and belongings in the hall, for simulating the entire Chulalongkorn University Memorial Hall building. In addition to visiting the historical objects in the virtual museum, these objects are interactable with multimedia descriptions which are text, images, videos, and audio commentary. It makes visitors enjoy the ambiance while visiting the virtual Chulalongkorn University Memorial Hall. In addition, it is also the preservation of valuable cultural and historical knowledge resources.
A Brief Survey of Quantum Architecture Search

With the rapid development of quantum computing, the variational quantum algorithms capitalize on the classical optimizer and parametrized quantum circuit to provide outperformance on specific tasks such as combinatorial optimization problems. However, the performance of these hybrid quantum-classical algorithms heavily relies on the design of quantum circuit architecture. Being restricted by the noise of the near-term quantum device, how to trade off the computational power of quantum circuits and the noise of quantum gates is a challenging task for design circuit architecture. In this paper, we give a brief view of the recently proposed methods for quantum architecture search including the differentiable circuit search method, deep reinforcement learning based method, and evolutionary based methods.
Towards performance portability of AI graphs using SYCL

The wide adoption of Deep Neural Networks (DNN) has served as an incentive to design and manufacture powerful and specialized hardware technologies, targeting systems from Edge devices to Cloud and supercomputers.While the proposed ONNX as a de facto for DNN model description, provides portability across various AI frameworks, supporting DNN models on various hardware architectures remains challenging.SYCL provides a C++-based portable parallel programming model to target various devices. Thus, enabling SYCL backend for an AI framework can lead to a hardware-agnostic model for heterogeneous systems.This paper proposes a SYCL backend for ONNXRuntime as a possible solution towards the performance portability of deep learning algorithms. The proposed backend uses existing state-of-the-art SYCL-DNN and SYCL-BLAS libraries to invoke tuned SYCL kernels for DNN operations. Our performance evaluation shows that the proposed approach can achieve comparable performance with respect to the state-of-the-art optimized vendor-specific libraries.
Is Facial Recognition Biased at Near-Infrared Spectrum as Well?

Published academic research and media articles suggest face recognition is biased across demographics. Specifically, unequal performance is obtained for women, dark-skinned people, and older adults. However, these published studies have examined the bias of facial recognition in the visible spectrum (VIS). Factors such as facial makeup, facial hair, skin color, and illumination variation have been attributed to the bias of this technology at VIS. The near-infrared (NIR) spectrum offers an advantage over VIS in terms of robustness to factors such as illumination changes, facial make-up, and skin color. Therefore, it is worth-while to investigate the bias of the facial recognition at near-infrared spectrum (NIR). This first study investigates the bias of face recognition system at NIR spectrum. To this aim, two popular NIR facial image datasets namely, CASIA-Face-Africa and NotreDame-NIVL consisting of African and Caucasian subjects, respectively, are used to investigate the bias of facial recognition technology across gender and race. Interestingly, experimental results suggest equitable performance of the face recognition across gender and race at NIR spectrum.
Human-Supervised Automation Test Cell to Accelerate Personal Protective Equipment Manufacturing During the COVID-19 Pandemic

The shortage of medical-grade personal protective equipment for frontline healthcare workers is an important issue during the ongoing COVID-19 pandemic. The demand placed on textile manufacturers to rapidly produce products that adhere to a set of standard quality assurance requirements has increased dramatically, leading to increased burden on quality assurance floors and national testing labs. Standardized testing of protective equipment is a labor-intensive and time-consuming process that requires human operators to perform tasks that can be automated using various technologies, such as collaborative robots and computer vision systems. The tests we focus on involve evaluating surgical masks and protective materials for blood penetration resistance, flammability, and liquid barrier performance. This work introduces a test cell designed to accommodate human operators in completing various quality assurance tests for protective equipment. The test cell is comprised of custom-designed cases containing test specimens to facilitate robot manipulation and cameras to monitor and characterize the test results. We demonstrate how the system can reduce the workload and reliance on human operators at no expense to the quality assurance process. Based on validation test results and user experience, it is predicted that the human operator will only have to prepare cases with test specimens and handle infrequent failures that occur within the system, without compromising overall completion time. We envision that this system will relieve the strain on textile manufacturing processes requiring human labor to repeatedly perform simple tasks.