Reviewerly/exHarmony huggingface dataset:
Compressed Sigma-Protocols for Bilinear Group Arithmetic Circuits and Application to Logarithmic Transparent Threshold Signatures

Recent developments in zero-knowledge have yielded various communication-efficient protocols for proving correctness of statements captured by arithmetic circuits. Since any relation can be translated into an arithmetic circuit relation, these primitives are extremely powerful and widely applied. However, this translation often comes at the cost of losing conceptual simplicity and modularity in cryptographic protocol design. For this reason, Lai et al. (CCS 2019), show how Bulletproof’s circuit zero-knowledge protocol (Bootle et al., EUROCRYPT 2016 and Bunz et al., SP we reduce the communication costs by roughly a factor 3. The generalized commitment scheme required for bilinear circuit rela tions is also advantageous to standard arithmetic circuit ZK protocols, since its application immediately results in a square root reduction of public parameters size. The implications of this improvement can be sig nificant, because many application scenarios result in very large sets of public parameters. As an application of our generalization, we construct the first k-out of-n threshold signature scheme (TSS) with both transparent setup and threshold signatures of size logarithmic in n. Each individual signature is of a so-called BLS type, the threshold signature hides the identities of the k signers and the threshold k can be dynamically chosen at aggregation time. Prior TSSs are either of size linear in k or require a trusted setup. Recently, it has been shown that a generalization of our TSS, requiring additional compression techniques outside of the scope of this submission, allows the so-far quadratic communication costs of consensus protocols to be reduced down to quasi-linear. Moreover, our construction finds applications in digital transaction and anonymous credential systems. The main benefit of this direct construction is that it avoids the large arithmetic circuits that are typically encountered when relying on the black-box application of circuit ZK systems, thereby achieving concretely efficient protocols
Εφαρμογές τεχνητής νοημοσύνης

The purpose of this diploma thesis is to present the subject of applications of Artificial Intelligence and Machine Learning in simple forms. First of all, it starts with an explanation of the terms of Artificial Intelligence and Machine Learning, then there will be a brief historical overview of the sciences behind Artificial Intelligence, from antiquity to the present and its rapid development in many areas. Then, present their function with two types of sorting, numeric and classification of the characteristic images and their identification. The Matlab program was used for image editing and feature extraction. Finally, an evaluation of the results as well as its performance is made.
Bridging the Digital Divide – Lessons Learned During COVID

Presentation for People Connect Institute on the digital divide challenges faced by the library during the COVID pandemic and how those challenges were met.
Engaging by Design: Utilization of VR Interactive Design Tool in Mise-en-scène Design in Filmmaking

AbstractDespite the numerous technological advances in production design in filmmaking, filmmakers aiming to engage the audience in an immersive film experience face the challenge of being limited by a 2-dimensional restriction through which their movies are displayed on the screen. This is a concept that virtual reality (VR) has come to transform as it presents itself as an interactive tool that provides the viewers with a 360-degree view of the entire scene. This research is intended to evaluate the resulting impact and the process by which the redesign of the cinema will occur when VR is used for mise-en-scene in film design and production. A careful determination of the impact of VR as an interactive tool for the mise-en-scene is achieved. This allows us to examine the predictions made by earlier researchers and to subsequently assess the validity of those predictions in terms of how plausible they are today. Through surveying the present literature as well as reviewing the stances of the industry’s experts, this research paper hypothesizes that VR is a powerful tool with a robust potential to evolve the mise-en-scene design methods. Also, a google form questionnaire is conducted to gauge the diverse public views on VR and how individuals feel regarding the impact of VR on the mise-en-scene and the film experience in general. Through the literature examination and questionnaire results, we review how the mise-en-scene would be extensively developed through VR and elucidate the interest amongst the public to undergo such a unique film experience.
Warm-cool color-based high-speed decolorization: an empirical approach for tone mapping applications

Grayscale images are fundamental to many image processing applications like data compression, feature extraction, printing and tone mapping. However, some image information is lost when converting from color to grayscale. In this paper, we propose a light-weight and high-speed image decolorization method based on human perception of color temperatures. Chromatic aberration results from differential refraction of light depending on its wavelength. It causes some rays corresponding to cooler colors (like blue, green) to converge before the warmer colors (like red, orange). This phenomena creates a perception of warm colors "advancing" toward the eye, while the cool colors to be "receding" away. In this proposed color to gray conversion model, we implement a weighted blending function to combine red (perceived warm) and blue (perceived cool) channel. Our main contribution is threefold: First, we implement a high-speed color processing method using exact pixel by pixel processing, and we report a $5.7\times$ speed up when compared to other new algorithms. Second, our optimal color conversion method produces luminance in images that are comparable to other state of the art methods which we quantified using the objective metrics (E-score and C2G-SSIM) and a subjective user study. Third, we demonstrate that an effective luminance distribution can be achieved using our algorithm by using global and local tone mapping applications.
Chinese description of videos incorporating multimodal features and attention mechanism

Video description is a hot topic in the area of computer vision and natural language processing, which has made remarkable achievements in recent years. But most researches on video description are to generate English description while few on Chinese description. This paper explores the generation process of video Chinese description and proposes a model for video Chinese description, which introduces three complementary modal features and temporal attention mechanism based on the general encoder-decoder framework. The optimized video description model combined with an appropriate Chinese preprocessing method further improves Chinese descriptions' richness and accuracy. These works provide a valuable reference for future research on multilingual video description. We tested the proposed Chinese model on an expanded Chinese corpus of standard English dataset MSVD (Microsoft Research video description corpus) and studied the special processing methods of Chinese description generation. Experimental results show that the highest METEOR value obtained by the Chinese model proposed is still 6.6% higher than that of the best result on MSVD's Chinese corpus, and the model also has an advanced result in English environment.
OF INFORMATION OF EDUCATION OF THE KYRGYZ REPUBLIC WITHIN DIGITALIZATION

This article is devoted to the socio-philosophical analysis of informatization in the field of education in the framework of the digitalization of the country. At this stage in the development of society, the need to update information and the timely use of digitalization of education reflects the structure of society. The features of the functioning of the education system as a social institution and the issues of interaction between the education system and society are considered. The features of the functioning of the education system as a social institution and the issues of interaction between the education system and society are considered. We study the issues of informatization of the educational process, as well as knowledge, skills of information culture based on state educational standards, creating an information structure, the main directions of digitalization by providing modern scientific research and managing informatization in the education system.
The neighborhood of interaction in human crowds is explained by visual information

Most models of collective motion are based on the physical positions and velocities of others in a neighborhood of interaction. For example, in our physical model (PRSB 2018, CDPS 2018) a pedestrian matches the average heading direction and speed of neighbors, weighted by their distance: weights decay gradually to the nearest neighbor, and more rapidly in the crowd. Recently we developed a visual model, in which a pedestrian’s heading and speed are controlled by nulling the average angular velocity and optical expansion of neighbors, which are sinusoidal functions of eccentricity (VSS 2017, 2019). Neighbor influence is proportionally reduced by partial occlusion (ICPA 2019). Here we use these models to simulate data from three experiments with no free parameters. Exp. 1: Participants “walked with” a virtual crowd of 12 neighbors. A subset of neighbors (0, 3, 6, 9, or 12) changed direction (±10˚) or speed (±0.3m/s) on each trial, and the participant’s walking speed and heading were recorded. The RMSE of heading was 1.97˚ for the visual and 2.08˚ for the physical model (BF=1.90, anecdotal evidence for visual). The RMSE of speed was 0.063m/s and 0.064m/s, respectively (BF=2.43, anecdotal for visual). Exp. 2: The distance of the virtual crowd was varied (2, 4, or 6m), and one row (near, middle or far) changed direction (±10˚). The RMSE of heading was 2.5˚ and 3.6˚, respectively (BF>>100, decisive for visual). Exp. 3: A human ‘swarm’ (N=10, 16, 20) walked together for 2min trials. We simulated thirty 10s segments, modeling one participant with input from neighbors. The RMSE of heading was 15˚ and 29˚, respectively (BF=6, substantial for visual). Remarkably, the gradual decay with distance is explained by Euclid’s law, while the rapid decay is an additional effect of occlusion. The neighborhood of interaction is thus explained by visual information, eliminating explicit distance terms.
The COVID-19 border closure to India: Would an Australian Human Rights Act have made a difference?

In late April 2021, the Commonwealth government determined to prohibit overseas travellers who had been in India from returning to Australia, subjecting them to heavy penalties for breach. This measure was controversial and unprecedented in Australia’s response to COVID-19, drawing sharp criticism for breaching human rights. This article analyses the human rights issues arising under the Health Minister’s determination, and the ensuing Federal Court case of Newman v Minister for Health and Aged Care. Against the backdrop of a renewed push for a national Human Rights Act, it finds that a national Human Rights Act could have made a difference.
Hambatan Pembelajaran Berbasis Web di Indonesia

The study aims to highlight opportunities and implementation of web-based learning barriers in Indonesia. The study is a systematic review. The stage of this study uses Chitu Okoli model where the stage is planning, selection, extraction, and execution stage. Web-based learning offers great opportunities to gain access for unlimited learning, flexibility, using collaborative learning, visual language that is more interesting, integrates a variety of learning, increases the ability of independent learning, facilitates control of student activities, and saves lower costs. Nevertheless, web-based learning has challenges. In Indonesia, web-based learning lack of economic gap, iliteracy digital, difference in school infrastructure, teacher competencies, learning environments, student motivation, curriculum and the role of government as policy makers in providing regulation and policy. Although new cultural learning arises from formal and informal learning in the online (web) world, it does not directly negate traditional school-based learning. The results study are expected to be used as consideration of policy makers in making regulations and rules about web-based learning and making a curriculum that is adapted to biases and opportunities.
Towards Requirements Elicitation and Analysis Model for Distributed Audience

Requirement’s elicitation is a challenging activity and the most important activity for the software development process. Requirement elicitation is the process of gathering information from the user and stakeholders. By reviewing the literature review, there are many challenges involved in the elicitation process, i.e., lack of proper communication and knowledge transfer between software stakeholders. Most of the companies are moving towards a globally distributed environment. Some many problems and challenges occur due to temporal, geographic, and socio-cultural diversity among stakeholders. This study proposes a new approach to the requirements elicitation and analysis phase in a distributed environment with the knowledge management technique that improves the software development process. The purpose of the paper is to develop a distributed framework based on eliciting and analyzing the customer's requirements by implementing a knowledge management technique that efficiently handles and manages the resources of an organization. This study aims to improve the elicitation and analysis process by using knowledge management techniques in a distributed environment. Thus, this study improves software development architecture. The feasibility and effectiveness of the proposed approach were evaluated in an empirical study with encouraging results.
Use diagnostic testing to improve student learning outcomes

The article describes the practical process of diagnostic screening in grade 5. After determining the proportion of students' strengths and weaknesses, remedial work was planned and a rehabilitation program was implemented in accordance with the competencies. This process is discussed in the given article. The table presents the results of the target pretest and a similar post test.
STAMP 4 NLP – An Agile Framework for Rapid Quality-Driven NLP Applications Development

The progress in natural language processing (NLP) research over the last years, offers novel business opportunities for companies, as automated user interaction or improved data analysis. Building sophisticated NLP applications requires dealing with modern machine learning (ML) technologies, which impedes enterprises from establishing successful NLP projects. Our experience in applied NLP research projects shows that the continuous integration of research prototypes in production-like environments with quality assurance builds trust in the software and shows convenience and usefulness regarding the business goal. We introduce STAMP 4 NLP as an iterative and incremental process model for developing NLP applications. With STAMP 4 NLP, we merge software engineering principles with best practices from data science. Instantiating our process model allows efficiently creating prototypes by utilizing templates, conventions, and implementations, enabling developers and data scientists to focus on the business goals. Due to our iterative-incremental approach, businesses can deploy an enhanced version of the prototype to their software environment after every iteration, maximizing potential business value and trust early and avoiding the cost of successful yet never deployed experiments.
Sampling Human Visual Experience Through Text and Media Messages

How do locations, actions, and goals interact to affect how we categorize our environments? Recent work has shown that scene categorization is mainly a high-level process focusing on high-level properties like objects and attributes that are processed iteratively with their settings. Additional progress on this topic has been limited by a paucity of data on where people spend their time and the types of activities done in these different locations. This study sought to investigate how observers’ locations, actions, and goals influenced the scenes they categorized throughout the course of a month. We uncovered which actions or goals were most commonly associated with certain locations and vice versa. We did this by conducting a virtual study in the month of December 2020 involving ten participants residing in Maine with ages ranging from 20 to 53. Participants received ten daily text messages that asked them to specify their present environment or send a picture of their location, identify the action they were performing, and describe the goal they were trying to achieve. The results suggest that all participants spent the majority of their time inside. The data revealed that 90.9% of all locations participants reported were inside, 3.4% were in a car, and 5.7% were outside. There was a numerical tendency to spend more time indoors with increasing age (R = 0.06). Participants partook in 157 unique activities/goals. The most frequent activity reported was working, followed by relaxing, eating, cooking, and watching videos. The frequency of activities exhibits a power law distribution that obeys Zipf’s law. This study provides more insight into how humans categorize scenes, and the data helps identify which scenes are most commonly experienced by humans on a daily basis.
ProsoBeast Prosody Annotation Tool

The labelling of speech corpora is a laborious and time-consuming process. The ProsoBeast Annotation Tool seeks to ease and accelerate this process by providing an interactive 2D representation of the prosodic landscape of the data, in which contours are distributed based on their similarity. This interactive map allows the user to inspect and label the utterances. The tool integrates several state-of-the-art methods for dimensionality reduction and feature embedding, including variational autoencoders. The user can use these to find a good representation for their data. In addition, as most of these methods are stochastic, each can be used to generate an unlimited number of different prosodic maps. The web app then allows the user to seamlessly switch between these alternative representations in the annotation process. Experiments with a sample prosodically rich dataset have shown that the tool manages to find good representations of varied data and is helpful both for annotation and label correction. The tool is released as free software for use by the community.
Information Hiding Using HTML

Abstract: This paper provides a promenade for data hiding. Steganography is the technique which makes it possible to send data without altering in it. Data is stored in the form of stego data and then transmitted secretly. Various techniques for steganography are proposed till date which ensures the integrity and confidentiality of data stored in HTML documents. Proposed technology works on effectiveness of data hiding in HTML documents using the fact that there is no noise in stego object as compared to cover medium. Keywords: Steganography, HTML web page, HTML attributes, embedded data Cite this Article: Vishakha Upreti, Vanshika Munjal. Information Hiding Using HTML. Journal of Operating Systems Development & Trends. 2019; 6(3): 22–29p.
Physician-Mediated Elective Whole Genome Sequencing Tests

The April 2018 arrest of the alleged Golden State Killer has ignited law enforcement interest in using consumer genetics platforms to solve crimes. Proponents of using genetic genealogy to solve crimes have argued that the genetic data on which these identifications rely has been voluntarily uploaded and shared. But as this chapter exposes, this assertion of voluntariness is mistaken on both intrinsic and practical grounds when it comes to genetic relatives. Identifying genetic data is shared among genetic relatives involuntarily and immutably as a matter of biology. Such data is also shared in unmanageable ways in light of the extensive web of relatives whose DNA can be used to identify or learn about an individual. This chapter argues that the disjunction between potentially voluntary sharing of genetic data by consumer genetics users and the involuntary sharing imposed on their genetic relatives is both ethically and legally problematic. It then offers a path forward, drawing on a tenancy by the entirety framework from property law and the Supreme Court’s recent decision in the Carpenter case. This approach would permit law enforcement in some instances to use data stored on consumer genetics platforms–but only to seek direct identifications.
Psychological Foundations of the Formation of Ecological Education in Primary Schoolchildren

The psychological foundations of the formation of ecological education in young schoolchildren are analyzed in the article. The importance of teaching young schoolchildren to be sensitive and respectful to nature is emphasized. It is shown that young schoolchildren first feel and perceive nature and natural phenomena, and then filter them with their imagination and thinking. They come to a specific conclusion after filtering natural phenomena through imagination and thinking. After all, they express their discoveries through speech. Their findings are reflected in a sensitive and careful attitude towards nature. The article also emphasizes the importance of motivating the cognitive activity of children of primary school age, as well as teaching them sensitivity and care for nature and natural phenomena. The article also shows how to determine the psychological basis for teaching students of primary school age sensitivity and care for nature. In this case, the article scientifically substantiates and makes references to the psychological foundations of the manifestation of a sensitive and caring attitude to nature and natural phenomena, which are determined not only in the lesson of Environmental Studies, but also in the lessons of the Azerbaijani language and Fine Arts. It is also noted that the formation of the personality of schoolchildren also ensures the development of their self-awareness. In this case, the self-awareness of children of small school age is ultimately determined by their relationship. Thus, a psychologically correct approach to the formation of environmental education in children of small school age is manifested in self-esteem, self-respect and the level of psychological claims of the student. That is, such psychological relationships that arise between young schoolchildren ensure their sensitive attitude to nature, natural phenomena, including flowers, plants, trees, clean water and their protection from environmental disasters