Reviewerly/exHarmony huggingface dataset:
The Model of Payload Authentication for HTTP Protocol Family

During transmission of the data, it can be intercepted and modified. Such behavior is called the MITM (Man In The Middle) attack. Despite the usage of encryption in public networks, such attacks may happen because of the botnets. They pose a particular threat to local networks, where the data is usually transmitted in an unencrypted form. During the previous studies, the “chunking” model and method have been developed for payload authentication. They have been proven to have increased performance in comparison to the widely used methods, such as “Buffering to File” or “Buffering to Memory”. The support of the ECDSA algorithm has been added to the “chunking” method. The most widespread protocol for data transmission is HTTP, which is used in a wide variety of applications. Previously, the “Chunking” method was implemented for every version of the HTTP protocol. However, because of the structure of the HTTP/1 protocol, not all the benefits of the “chunking” method could be used. The new model of payload authentication for HTTP/2 and HTTP/3 protocols has been developed. The modified method for HTTP/2(3) has been implemented in the software library. The new library has been further tested on the subject of compatibility with the existing HTTP/2 client libraries and web-browsers. The new method may be used in web browsers, but modification of the source code is required.
On the structures of Abu Roash area and inverted basins of northern Egypt - Comments on “Surface expression of the Syrian arc Kattaniya inverted basin in the Abu Roash area, northeast Western Desert, Egypt: Structural style and tectonic history” by Sayed et al. (2020)

The paper by Sayed et al.2020 presents detailed structural mapping of the Abu Roash Cretaceous outcrop (SW of Cairo) and integrates the mapping results with the tectonic evolution of the Kattaniya basin as one of the northern Egypt inverted basins. I present in this discussion a different age relationship between the folds and faults in the mapped area, where folds form after faults as push-up structures and faults form after folds as tear faults. I also comment on the relationship between the structural deformation of Abu Roash area and the deformation of the Kattaniya basin as the dextral wrenching of Abu Roash area is unique and does not represent the deformation of the northern Egypt inverted basins. Wrenching at Abu Roash formed a push-up structure at a stepover between ENE oriented faults whereas inversion in northern Egypt reactivated NE-SW oriented faults with predominant reverse slip and subordinate strike-slip. The main-bounding fault of Kattaniya basin is not located at Abu Roash outcrop but lies ~35 km to the NW. Basin inversion in northern Egypt continued to post-Early Miocene time, not earlier as suggested by Sayed et al. Other comments on Sayed et al.‘s mapping are also highlighted.
An Intelligent Filling Method for Answers Based on Augmented Reality

The exercises and answers in traditional books are often separated, the search efficiency is low, and errors are easy. The method in this article only needs to paste the QR code next to the exercises, scan the QR code and exercises, and the answers can be presented in the exercises, making ordinary books Become books with augmented reality effects. In order to reduce the impact of the surrounding environment on the image data, the acquired image frame is first converted into a single-channel image, and then the bilateral filtering algorithm and the maximum between-class variance method are used to denoise and second the image. In order to fill the answers adaptively into the parentheses of the exercises, the template matching method is used to locate and identify the left and right parentheses respectively; then the parentheses pairwise screening is used to achieve the pairing of the left and right parentheses, and the parentheses are sorted; finally according to the size and angle of the QR code, combined with the data in the QR code, generates an answer that matches the size and angle of the original question and fills it in parentheses. Experiments show that the method has high accuracy, real-time and good integration.
Identification of Bronze Workshops using p-XRF and ICP-MS in Angkor Thom, Cambodia

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Autonomous EBSD Pattern Classification Performance with Changing Acquisition Parameters

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Catch You With Cache: Out-of-VM Introspection to Trace Malicious Executions

Out-of-VM introspection is an imperative part of security analysis. The legacy methods either modify the system, introducing enormous overhead, or rely heavily on hardware features, which are neither available nor practical in most cloud environments. In this paper, we propose a novel analysis method, named as Catcher, that utilizes CPU cache to perform out-of-VM introspection. Catcher does not make any modifications to the target program and its running environment, nor demands special hardware support. Implemented upon Linux KVM, it natively introspects the target's virtual memory. More importantly, it uses the cache-based side channel to infer the target control flow. To deal with the inherent limitations of the side channel, we propose several heuristics to improve the accuracy and stability of Catcher. Our experiments against various malware armored with packing techniques show that Catcher can recover the control flow in real time with around 67% to 97% accuracy scores. Catcher incurs a negligible overhead to the system and can be launched at anytime to monitor an ongoing attack inside a virtual machine.
Emerging Ecosystems Empowered by AI and IoT Technologies

As latest advancements signify the fourth industrial revolution, artificial intelligence (AI) and internet of things (IoT) became the focal points for innovators. IoT-enabled technology can be used to gather and explore huge amounts of data from both virtual and physical environments, and AI provides the means for effectively processing and manipulating resulting information to optimize or automate processes. In this chapter, the related state of the art is presented, along with the characteristics that enable the creation of hybrid innovation ecosystems. An overview of IoT and AI platforms is included, which can be utilized even by non-experts to compose advanced cost-effective services. Also, related notions such as interoperability and engagement are also discussed. Although such components can be applied in a multitude of domains, to provide a concrete example of innovation enablement, the smart grid ecosystem is employed. Here, participants, either from the supply or the demand side, take advantage of IoT and AI technology to address new business requirements that arise.
Latent Sousveillance and the Rules of Digital Media Engagement

This chapter demonstrates the revelatory, narrative capacity of bystander video of police excessive force shared through social media, and its relationship with mainstream and police media representations of police ‘image work’. This hierarchical sousveillance can challenge hegemonic mainstream and police media agenda-setting and catalyse direct action, testing police credibility through the diverse range of perspectives characteristic of the ‘social media test’. Analysis of social and mainstream media representations of a case of police excessive force at the 2013 Sydney Gay and Lesbian Mardi Gras Parade, combined with police and non-police responses to in-depth interviews, shows the force of individual stories that can be glossed in police aggregate data published in mainstream news media. The chapter considers the power of ‘latent’ sousveillance; technological scrutiny of authority that while lawful may not be widely known. In this context, the lawful capacity for civilians to generally film police operations in public, that in conjunction with the capacity to share content through social media reached a critical mass in 2013. The chapter argues, and notes the challenges in achieving, the consistency required across representations of the police image to sustain public trust and confidence in police and police legitimacy in a multi-media saturated society.
Machine Learning and Museum Collections: A Data Conundrum

Museums contain vast amounts of information and knowledge, providing a vital source of engagement for diverse audiences. As society becomes ever more digital, museums are moving towards making their collections available online to the public. However, just providing a searchable interface to the entirety of the collection could be a barrier to successful engagement. Tremendous craftsmanship is put into creating interesting and informative in-person curations of selected items, and a challenge exists in replicating this online. One solution could be the application of recommender systems, which personalise information to the individual based on their previous interactions and tastes. These systems power many popular online services, but cannot be applied without considerations and decisions being made about the data that is given to the engine. As museum collections vary in their nature and content, particular care should be taken when handling the data – standard methods may not apply. In this paper, we present the challenges of data curation in the context of using machine learning techniques with museum collections, supported by two case studies.
Gaussian sum reapproximation applied to the probability of collision calculations

In predicting the collision of space debris, the propagated orbital uncertainty may not follow a Gaussian distribution if the initial orbital uncertainty is large or the propagation time is long. In this paper, a Gaussian mixture uncertainty propagation method developed by (Psiaki et al., 2015) is used to calculate the collision probability. The initial Gaussian distribution is fitted by the weighted Gaussian mixture components. The linear matrix inequality is optimized to prevent the covariance matrix of Gaussian mixture components from being too small, and an appropriate number of Gaussian mixture components is used to approximate the initial orbital covariance. At the same time, this paper provides a method to calculate the collision probability of two objects in which a Gaussian mixture is used to represent the distribution of orbital uncertainty. The linear method and the unscented Kalman filter (UKF) method for propagating the Gaussian covariance are analysed. The results of numerical simulations show that compared with the linear covariance propagation method, UKF method, and high-precision Monte Carlo covariance propagation method for space objects with a large initial orbital uncertainty, the Gaussian mixture method can be effectively applied to capture the non-Gaussian characteristics of the predicted nonlinear orbital dynamic uncertainty. Compared with the univariate splitting method, the advantage of this Gaussian mixture method is that it does not need to search for the most nonlinear direction. The accuracy of the collision probability calculation is improved from 1.460 × 10−3 to 1.663 × 10−3. A comparison of the computational burden between the Gaussian mixture algorithm and Vittaldev’s algorithm to achieve the same results is presented. The calculation burden of the Gaussian mixture method is approximately 3 times that of the univariate Gaussian method.
Logical Grounding: The Case of “<scp>if‐then‐else”</scp>

Abstract The paper proposes grounding the ternary connective “if … then … else” (classically interpreted), thus far not considered in the logical grounding literature. In doing so, a new kind of plural grounding, called collective immediate grounding , is proposed as more adequate than the traditional complete immediate grounding in avoiding redundancy. The approach is proof‐theoretic.
On the issue of searching information on the Internet

Information is the cornerstone of the development of a person, social group, and society as a whole. In modern conditions, information plays a key role in all spheres of the national economy, and its timely search and analysis is fundamentally important. The mass of information on the Internet includes data that meet various (sometimes paradoxical) user requests and, at the same time, when accessing virtual resources, the key problem is often the redundancy of links and the difficulty of finding information that is strictly relevant to the user’s request. The article provides an overview of approaches to organizing the search for necessary information in the continuum of the information space; it is emphasized that success in finding the necessary information is determined by two main factors (conditions): the correct, clear formulation of the search query and knowledge of search engines and search tools.
A Visual Tool for Understanding Wicked Problems in Design Research: A Case Study of Marginalized Youth Unemployment

Design thinking has been widely embraced as an approach that fosters discussion and facilitates innovations that promote inclusion and empowerment in the public and private sectors. However, recent concerns have been expressed over its limited application and the exaggerated claims of its impacts when addressing wicked problems (WPs). A central challenge is comprehending how to support the process of simultaneously understanding WPs and acknowledging their uncertainty and risk. Through an action research project (aimed to help reduce youth unemployment by involving marginalized youths in service development in South Africa), this paper investigates the use of the Mess Mapping™ tool for collectively understanding, visualizing and aiding in decision-making related to the complexities of socially-oriented design research. We demonstrate that through a 'co-documenting, co-discovering and co-defining' process, it is possible to identify and understand the challenges and complexities that designers may encounter when informing future design research on WPs.
Research on the Physical Fitness Test Results of Vocational College Students under Vocational Physical Education

As it is assuring an adequate supply of skilled personnel to enterprises, higher vocational education (HVE) has been attached with growing importance by our government and all sectors of society. Physical education (P.E.) in vocational colleges differs from traditional teaching plan, which has its unique pertinence in students' vocational skills training programs, through carrying out specialized physical exercise for students and helping them to strengthen their physical quality and vocational competitiveness in an all-round way. Therefore, the innovation of P.E. in vocational colleges should put more emphasis on students' training of professional skills, as well as their physical quality to answer for the demands of potential employers. By analyzing the test performance of vocational physical training conducted by students in a vocational college, this paper provides relevant data and practical suggestions on P.E. reform programs, which aim at constructing a more progressive P.E. system within vocational colleges that forms positive influence upon students' skill-learning and job-hunting.
SmartData: An Intelligent Decision Support System to Predict the Readers Permanence in News

This article proposes a hybrid intelligent system based on the application and combination of Artificial Intelligence methods as a decision support tool. The objective of this study is to exploit the advantages of the constituent algorithms, to predict the permanence rates of readers in news from a digital media. With this, the editor will be able to decide whether to publish a news item or not. To evaluate the effectiveness of the hybrid intelligent system, data from a reference digital media is used. In addition, a series of performance metrics is calculated, where 88% effective is demonstrated with the predicted results.
Application of YOLOv3 algorithm in the positioning of Electric Multiple Unit

The YOLOv3 algorithm has high adaptability and real-time performance for target detection in different scenarios. According to this feature, this paper proposes a method for positioning and detecting the components of Electric Multiple Unit (EMU) based on the YOLOv3 algorithm. After preprocessing the collected real-time images of China Railway, the components are marked by manual labeling to form the corresponding brake pads and axle end bolt data sets. We use the YOLOv3 algorithm for image training and target location detection. Finally, through the analysis of the model evaluation parameters, it is verified that the model has high detectability and real-time performance in component positioning detection. Specifically, the detection accuracy of brake pads and shaft end bolts can reach 97.6% and above.
Implementing quantum gates using length-3 dynamic quantum walks

It is well known that any quantum gate can be decomposed into the universal gate set {$T,H$, cnot}, and recent results have shown that each of these gates can be implemented using a dynamic quantum walk, which is a continuous-time quantum walk on a sequence of graphs. This procedure for converting a quantum gate into a dynamic quantum walk, however, can result in long sequences of graphs. To alleviate this, in this paper, we develop a length-3 dynamic quantum walk that implements any single-qubit gate. Furthermore, we extend this result to give length-3 dynamic quantum walks that implement any single-qubit gate controlled by any number of qubits. Using these, we implement Draper's quantum addition circuit, which is based on the quantum Fourier transform, using a dynamic quantum walk.
Research on Music Copy Generation Method of Smart Speakers

Abstract Smart speakers have become more and more popular in recent years with the continuous development of artificial intelligence. In daily life, dialogues between users and smart speakers can realize music play now. Currently, most manufacturers have made smart speakers directly play the song that the user wants to listen to, or inserted a fixed-style copy before playing. To provide users with a better music experience and allow users to have a deeper understanding of songs, a radio-like approach is planned to be adopted, inserting some personalized music copy before smart speakers play music. In this article, TextRank-based automatic text summarization and keyword extraction methods are used to efficiently and automatically generate short, appropriate, and personalized music copy from the song library, and insert the copy before the smart speaker plays the song. This will not only increase the users’ music experience, but also allow users to express their emotions with music as sustenance. The research on the music copy generation technology of smart speakers can not only improve the music experience of users but also has a great impetus to improve the functions of smart speakers.
Pre-Elicitation Processes Hierarchy For GSD Based Requirements Elicitation Frameworks

The requirements elicitation is considered as one of the most critical tasks performed during the whole requirements engineering process. The requirements elicitation frameworks define a systematic structured way to perform requirements elicitation task during software development projects. The requirements elicitation in global software development projects becomes a more challenging task due to the high diversity in its participants. The pre-elicitation processes can be customized to better plane the requirements elicitation process for global software development contexts. This article presents a structured hierarchy of pre-elicitation processes for global software development-based requirements elicitation frameworks. The presented pre-elicitation processes hierarchy can be customized to apply for traditional requirements elicitation frameworks used for inhouse software development contexts.
Deep image hashing based on twin-bottleneck hashing with variational autoencoders

With the ever-increasing availability of data, the need for efficient and accurate image retrieval methods has become larger and larger. Deep hashing has proven to be a promising solution, by defining a hash function to convert the data into a manageable lower-dimensional representation. In this paper, we apply recent insights from the field of variational autoencoders to the field of deep image hashing, thus achieving an improvement over the current state of the art as shown by experimental evaluation. The code used in this paper is open-source and available on GitHub (https://github.com/maximverwilst/deepimagehashing-VAE).
On the Calculation and Usage of HDR Static Content Metadata

<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">HDR10 is a common platform-agnostic video format that is widely used for ultrahigh-definition (UHD-1)/4K content distribution. HDR10 includes 10-bit video data formatted for the perceptual quantization (PQ) electro-optical transfer function (EOTF) using color encoding primaries corresponding to International Telecommunication Union - Radiocommunication (ITU-R) BT.2020 (and BT.2100) and includes optional “static metadata.” HDR10 static metadata typically comprises two different types of metadata, mastering display metadata and content metadata. This paper discusses the meaningful calculation and usage of static content metadata for the display and processing of HDR10 content. Outlier values in the high-dynamic-range (HDR) pixel values can exist in content being mastered today and a simple statistical approach is presented to reduce the outlier’s influence on the static content metadata values. Additionally, this paper describes how a display or process can utilize good and reliable maximum content light level (MaxCLL) values to improve the reproduction of creative intent</i> .
WITHDRAWN: The effect of sun attraction on Sun-Synchronous satellites orbits

In this paper, we test the effect of the Sun attraction on the orbital elements of the Sun-synchronous satellites in emulation motion by the Celestial Mechanics software system module. SATORB (Beutler,2005) With satellite parameters that move in the Sun-synchronous orbit (shown in Table 1.) were used to study the effect of the perturbation on the orbital elements for a satellite with period 360 days, we studied periodic perturbation in semi-major axis (a), the eccentricity (e), inclination (i) and the sigma of Sun-synchronous satellites when eccentricity (e) = 0 and = 0.2. We founded the effect of solar radiations on orbital elements (semi-major axis (a), inclination (i), eccentricity (e), sigma) of a satellite are more when eccentricity (e) = 0.2, that is mean the effect of the force of solar radiation affected by the eccentricity of the orbit.