Reviewerly/exHarmony huggingface dataset:
ADOPTING SLACK PLATFORM IN COMPUTER SCIENCE-BASED CLASSES

Nowadays, the teaching and learning processes can be improved by using a wide range of tools and frameworks that ease communication and collaboration. Each of them emphasizes benefits and downsides making them more or less appropriate for specific types of activities. This paper discusses the adoption of Slack platform in Computer Science (CS) classes, being part of an extensive research on adapting and integrating technology, i.e., software tools, in higher education classroom.The first research question addresses the aspects that recommend Slack as a useful platform for teaching. Higher education course design is mainly focused on skill and competency acquisition. Bloom’s taxonomy of learning is used by many educators to map the educational objectives to six cognitive processes, being later adapted by Lorin W. Anderson to the following categories: remember, understand, apply, analyse, evaluate, and create.As a matter of course, CS-based classes employ a plethora of tools and frameworks that help students to gain practical competencies. Current teaching indicates the need to additional tools that ease the teaching and learning processes. These tools are focused on improving essential soft skills required for a future career in the software industry. Ruben Puentedura proposes the Substitution, Augmentation, Modification and Redefinition (SAMR) model that addresses the technology integration in the classroom. Following Bloom’s taxonomy and Puentedura’s SAMR model we study Slack platform characteristics that advocate for the classroom adoption. The case study considers CS-based courses taught at Babes-Bolyai Univerisity over several academic years.The second research question aims to empirically investigate the approaches used by educators when employing Slack workspaces in the classroom. Four different perspectives are studied, their benefits and downsides being considered. Actual experiences of educators in using Slack platform in the classroom and the corresponding lessons learned are reviewed and summarized.The contributions of this paper are two folded. First, we provide a framework for integrating Slack platform in the classroom following the connection between traditional approaches (Bloom’s taxonomy) and modern ones (SAMR model). Second, we explain Slack platform’s adaptability to the educational objectives by showing how different approaches on workspace design help gaining the learning goals.
Privacy-Preserving Authentication for Tree-Structured Data with Designated Verification in Outsourced Environments

Nowadays, the use of database outsourcing is on the rise. Since the service provider may not be fully trusted, a crucial requirement in outsourced data sharing is therefore to ensure that users can verify the integrity and authenticity of their query results. In outsourced healthcare data sharing, because the data contains sensitive information, an equally significant issue is to guarantee that the sharing process does not lead to any information leakages. Though some privacy-preserving authentication solutions have been presented to address these issues, unfortunately, none of them consider the risk of privacy leakage during the dissemination of authenticated healthcare data. That is, the queried data may be leaked by the user since any third party getting hold of a signed data would be convinced of its validity. In other words, for privacy concerns, we need a secure mechanism to ensure that only a specific receiver can check the integrity and authenticity of shared outsourced data. To address the these concerns, in our work, we propose a privacy-preserving authentication scheme with designated verification for tree-structured data (i.e., XML-based healthcare records). We provide the formal definition and related security properties of our scheme. We further put forward our concrete construction and prove its security under the standard cryptographic assumption in the random oracle model. The comparison analysis of theory and practice shows that our scheme provides stronger privacy protection than existing schemes while having the shortest key length and signature size. Therefore, our construction is efficient and practical for outsourced environments.
EDNet: Improved DispNet for Efficient Disparity Estimation.

Existing state-of-the-art disparity estimation works mostly leverage the 4D concatenation volume and construct a very deep 3D convolution neural network (CNN) for disparity regression, which is inefficient due to the high memory consumption and slow inference speed. In this paper, we propose a network named EDNet for efficient disparity estimation. Firstly, we construct a combined volume which incorporates contextual information from the squeezed concatenation volume and feature similarity measurement from the correlation volume. The combined volume can be next aggregated by 2D convolutions which are faster and require less memory than 3D convolutions. Secondly, we propose an attention-based spatial residual module to generate attention-aware residual features. The attention mechanism is applied to provide intuitive spatial evidence about inaccurate regions with the help of error maps at multiple scales and thus improve the residual learning efficiency. Extensive experiments on the Scene Flow and KITTI datasets show that EDNet outperforms the previous 3D CNN based works and achieves state-of-the-art performance with significantly faster speed and less memory consumption.
The System of Product Marketing Base on Mobile in Micro Small and Medium Enterprises of Dekranasda Tanggamus Regency

Tanggamus Regency is one of the in Lampung Province, the most of income of them is trade, so that it product a various, such as a good product and service. Dekranasda of Tanggamus have a product by handcrafts which the marketing of process is of Dekranasda still manual, so it’s known by the public, there for they must have a good strategy to increase competitiveness with information utilizing with e-commerce application system by mobile based. So that this system can develop product marketing, product transaction as well as information about micro small and medium enterprises, Dekranasda of Tanggamus Regency, so that able to access by public in indoesian or foreign countries. The Development this e-commerce system using waterfall model with trough steps such as analysis, desain, coding, implementation, and system maintenance. So, with the formation of e-commerce dekranasda of tanggmus can be a fool for buying and selling transactions for costumer and ca be used as a promotional media od Dekranasda Tanggamus Regency.
Eyeglasses 3D Shape Reconstruction from a Single Face Image

A complete 3D face reconstruction requires to explicitly model the eyeglasses on the face, which is less investigated in the literature. In this paper, we present an automatic system that recovers the 3D shape of eyeglasses from a single face image with an arbitrary head pose. To achieve this goal, we first trains a neural network to jointly perform glasses landmark detection and segmentation, which carry the sparse and dense glasses shape information respectively for 3D glasses pose estimation and shape recovery. To solve the ambiguity in 2D to 3D reconstruction, our system fully explores the prior knowledge including the relative motion constraint between face and glasses and the planar and symmetric shape prior feature of glasses. From the qualitative and quantitative experiments, we see that our system reconstructs promising 3D shapes of eyeglasses for various poses.
INTERACTIVE WORKSHOP – HOW TO EASILY RECREATE THE HANDS-ON LEARNING ACTIVITIES IN AN ONLINE ENVIRONMENT IN STEM FIELDS

Online teaching and learning are now the new normal. Despite this rapid shift to online, lecturers still have no reliable means to provide students with hands on learning opportunities, especially in STEM related fields. As a result, universities are struggling to provide interactive and social activities to replace the in-person activities they had in tutorials and laboratory practicals.In this workshop, I will highlight the suite of mobile applications and games I have co-designed with scientists and researchers to help excite and engage students in STEM fields. These apps are intuitive and designed to encourage students to interact with one another to easily and quickly collect and visualise data in real time so they can practice critical thinking and teamwork, developing necessary soft skills. This means experiments are accurately completed in 10 minutes, allowing teachers to spend more time with their students. With over 30 different apps that help teachers engage their students in biology, maths, chemistry, psychology, ethics – these apps teach across an integrated curriculum.I will also highlight how I have developed an engaging and interactive online approach and presence to deliver my online teaching. I will demonstrate the hardware and software I have assembled to be able to perform these lessons. Come prepared to be part of the workshop and work together with others exactly as your students would.
Secure Banking Transaction using Encryption Based Negative Password Scheme

Password authentication is the most widely used authentication technique, for it is available at a low cost and easy to deploy. Many users usually set their passwords using familiar vocabulary for its convenience to remember. Passwords may be leaked from weak systems. Vulnerabilities are continuously being determined, and no longer all systems may be well timed patched to resist attacks, which give adversaries an opportunity to illegally access vulnerable systems. To overcome the vulnerabilities of password attacks, here propose a password authentication framework that is designed for secure password storage and could be easily integrated into existing authentication systems. In our framework, first, the received plain password from a client is hashed through a cryptographic hash function (e.g., SHA-512). Then, the hashed password is randomly shuffled to get a negative password. Finally, the negative password is encrypted into an Encrypted Negative Password using a symmetric-key algorithm RC5, to further improve security. The proposed hash function and encryption methodologies make it difficult to break passwords from ENPs. This proposed ENP system will be implemented for banking environment to improve security of password storage and transaction details.
HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms

While generative adversarial networks (GANs) can successfully produce high-quality images, they can be challenging to control. Simplifying GAN-based image generation is critical for their adoption in graphic design and artistic work. This goal has led to significant interest in methods that can intuitively control the appearance of images generated by GANs. In this paper, we present HistoGAN, a color histogram-based method for controlling GAN-generated images' colors. We focus on color histograms as they provide an intuitive way to describe image color while remaining decoupled from domain-specific semantics. Specifically, we introduce an effective modification of the recent StyleGAN architecture to control the colors of GAN-generated images specified by a target color histogram feature. We then describe how to expand HistoGAN to recolor real images. For image recoloring, we jointly train an encoder network along with HistoGAN. The recoloring model, ReHistoGAN, is an unsupervised approach trained to encourage the network to keep the original image's content while changing the colors based on the given target histogram. We show that this histogram-based approach offers a better way to control GAN-generated and real images' colors while producing more compelling results compared to existing alternative strategies.
A Self-Acting Mechanism to Engender Highlights of a Tennis Game

With the rapid growth of digital media content specifically in Videos, different genre of sports matches are among the foremost event of the Television industry. Currently, any live recording goes into a RAID system of sorts, where all the footage from various cameras is recorded and kept available for random access. The proposed work aims to achieve automation in the broadcasting industry by creating a Self-Acting application which generates the highlights package without any external people devoted to this cause.
THE SOFTWARE TOOL FOR ICT TRAINING PROGRAMS

This paper presents the software solution (tool) developed in our research institute for management the activities in ICT training programs.National Institute for Research and Development in Informatics - I.C.I. Bucharest was established in 1970 and represents the most important Institute in information and communication technology development, research and innovation (ICT) in Romania. The ICI Bucharest is a part of national network of education and research, with many projects in educational domain – academic or lifelong learning fields. One of the research directions is to design, create, develop and implement the software solutions (tools) for educational field. In this context, in our institute, for three years, there is a training centre which carry out training programs in ICT domain.The Lifelong Learning Centre is a structure within the National Institute for Research and Development in Informatics – ICI Bucharest providing ICT training services under the conditions stipulated by law. The Centre’s trainers are academics or researchers with a huge experience in ICT, which meet the need to improve learners and which create a scientific community to promote the ICT skills for all types of learners. The courses are authorized, and are carried out after a curriculum approved by the Ministry of Labour and Social Justice and the Ministry of National Education and are structured in a theoretical and practical part.As a part of program management, the software tool is focused on management of all activities which are necessary to course progress, starting with the student registration and ending with the passing exam. The software tool has many software modules such as: the module which describe the training program, including the curricula, the structure of training program (number of course, number of application, number of research and so on), the teachers (for theoretical part and for practical part of program), the bibliography and the distribution to week; the module which describe the steps to enroll in a program – the student file (with type of personal acts), the distribution in a class, the exam file (for participation to the course and for graduation);the monitoring module that supervises the proper functioning of the parameters of software application (hardware and software parameters, input/output signal and so on). Each module has a control software whose purpose is to integrate all actions into the workflow on which a training program is based.This paper describes all the necessary steps and presents all the modules available for the proper organization of the ICT programs.
Describing Artifacts. What design and anthropology share, but Design Anthropology disregards

By unfolding the tension between “artifacts” and “description” within the field of design and within the field of anthropology, the present article questions Design Anthropology (DA) on two grounds. On the one hand, DA’s ability to take into account and account for descriptive artifacts in design practices. On the other hand, DA’s ability to describe artifacts and their social role. By referring to the literature on design coming from the field of Science and Technology Studies, and by using two empirical cases of design practices, analyzed through an Actor-Network Theory framework, I will show that DA has not been able to embrace the practice of the description of artifacts as key common ground, on which to build an actual integrative discipline.
Evict+Time Attack on Intel CPUs without Explicit Knowledge of Address Offsets

Numerous studies have been conducted to present new attacks using the time difference between the processor access to main memory and cache memory. Access-driven attacks are a series of cache-based attacks using fewer measurement samples to extract sensitive key values due to the ability of the attacker to evict or access cache lines compared to the other attacks based on this feature. In the access-driven attacks, the attacker frequently needs to evict or reload data from the cache memory before or after performing the targeted cryptosystem which requires the knowledge about the virtual or physical addresses. Knowledge of address offset for the corresponding data blocks in cryptographic libraries is a prerequisite for an adversary to reload or evict cache lines in Intel processors. Preventing the access of attackers to the address offsets can potentially be a countermeasure to mitigate access-driven attacks. In this paper, we demonstrate how to perform the Evict+Time attack on Intel x86 CPUs without any privilege of knowing address offsets.
Defining the Logical Boundary of a Service: An Improved Model and Novel Metrics for Service-Oriented Systems

In the field of service-oriented systems, a service is considered as an artifact that has a logical representation. However, the logical boundary of a service is not clearly defined. In particular, it needs to be defined clearly at the design level. Without such a definition, it is not possible to delineate incoming and outgoing coupling of a service. It would be difficult to analyze overall static, inter-modular coupling of a service. Further, one cannot devise effective metrics for design characteristics like complexity, cohesion and coupling of a service. A definition that is both technology-agnostic and independent of the physical packaging of a service would be most suitable. This paper defines the logical boundary of a service, improves a generic formal model and defines new metrics.
Multi-directional CPU resource control in edge computing

Edge computing promises a considerable reduction in latency and data volume by placing edge frameworks near the data source. Stream processing framework is a critical use case for edge computing, presenting in-situ data processing and low latency. However, careful CPU resource control is more important than cloud computing to provide effective multi-tenancy in resource-constrained edge computing. In this work, we investigate practical ways of controlling CPU resources of stream processing frameworks. Evaluation results from the different stream processor parallelism and cgroup parameters give a clear direction of designing an essential controller for stream processing frameworks in edge computing.
Application of AR Technology in children's publishing Optimization Strategy

ArWith the rapid development of technology in recent years, it has been gradually applied to military, medical, positioning, entertainment and many other fields and achieved remarkable results. Under this background, children's publishing is the core of the publishing field.ArPublicationDiscovery,ArChildren's Book Publishing has been greatly improved in quantity and quality.ArChildren's books have the advantages of rich form, strong interaction and dynamic update of book content. They also face problems such as uneven product quality, serious homogenization, and inconsistent technical standards. Article with examples of the currentArThe advantages and disadvantages of children's books are analyzed.ArThe Optimization Strategy for the healthy development of children's books.
MEG: Multi-Evidence GNN for Multimodal Semantic Forensics

Fake news often involves semantic manipulations across modalities such as image, text, location etc and requires the development of multimodal semantic forensics for its detection. Recent research has centered the problem around images, calling it image repurposing -- where a digitally unmanipulated image is semantically misrepresented by means of its accompanying multimodal metadata such as captions, location, etc. The image and metadata together comprise a multimedia package. The problem setup requires algorithms to perform multimodal semantic forensics to authenticate a query multimedia package using a reference dataset of potentially related packages as evidences. Existing methods are limited to using a single evidence (retrieved package), which ignores potential performance improvement from the use of multiple evidences. In this work, we introduce a novel graph neural network based model for multimodal semantic forensics, which effectively utilizes multiple retrieved packages as evidences and is scalable with the number of evidences. We compare the scalability and performance of our model against existing methods. Experimental results show that the proposed model outperforms existing state-of-the-art algorithms with an error reduction of up to 25%.
HOW FUTURE TEACHERS SUPPORT THE DEVELOPMENT OF READING LITERACY

The aim of the research is to find out the significance of working with texts of factual communication at the primary school in the context of reading literacy and relation to the reading. In fact, the majority of Czech educators prefer activities which require simpler reading skills in their lessons – e.g. information search, finding out the main thought of the text, etc. – while they tend to use a battery of texts presented in reading-books which are, however, not meant to develop more complex comprehension methods. Therefore, it would be appropriate to include texts of factual communication more often not only into the Czech language lessons, hence facilitating the reading development in other subjects as well; additionally, those texts should be taken from factual texts, not only from textbooks.While teaching future teachers, I came across the fact that many of my students do not know and are not able to use RWCT methods (critical thinking methods), skimming and scanning which facilitate the development of reading literacy. This is the reason why we included those methods in our research and why I deal with this analysis which presents students reading books, comments on the use of various methods and informs about the frequently chosen authors and titles.The research is based on qualitative design – an experiment using the method of parallel groups: the first group is a control group while the other group is an experimental group. The experiment consists of the following parts:- Pre-test- Questionnaire- Educational experiment- Post-testResearch aims:Analyse the relation of fourth-year primary school pupils to the readingIdentify the factors that influence the reading of primary school pupilsDiscover the significance of the influence of working with texts of factual communication in Czech language lessons on the reading literacy among fourth-year primary school pupils.