Reviewerly/exHarmony huggingface dataset:
COVID-19 REMOTE LEARNING EXPERIENCE POINTS TO HYBRID-LEARNING ENVIRONMENTS AS THE WAY FORWARD POST-CRISIS

COVID-19 REMOTE LEARNING EXPERIENCE POINTS TO HYBRID-LEARNING ENVIRONMENTS AS THE WAY FORWARD POST-CRISIS
Prospective for the integration of Blockchain and the IoT for Cluster implementation

Introduction: The present article is the result of the investigation and approach to the applications and developments of blockchain and Internet of Things (IoT), developed during the second semester of the year 2019 and first of 2020.Problem: Construction of environments and mediums in a cluster structure that allow companies and institutions to cooperate and compete to achieve efficiency and strengthen grouping. Objective: Integrate blockchain and IoT to develop and present a two-level architecture, from which a support environment is established and a series of functionalities are offered for a cluster implementation.Methodology: Review articles to achieve an approach to blockchain and IoT architecture, configuration and description of structural and functional levels.Results: An architecture with a structural level constituted by a decentralized computer application based on blockchains, a sensory and response network that incorporates IoT technologies and an intermediate component of cloud computing; this, at a functional level that manages to offer users support and help in their activities from modules created with a particular specialty.Conclusion: The structural level furthered the integration of base technologies, blockchain and IoT; on the other hand, the second level of architecture reveals the potential and versatility of these technologies.Originality: Proposal for the implementation of blockchain, IoT and cloud computing in a cluster structure.Limitations: The difficulty of accessing a cluster to perform a test of the architecture in a real environment.
Geological Controls of Mineralization of Corundum at Gobbagurthi, Khammam Telangana India

Industrial grade Corundum and gem variety, (ruby and abrasive variety) occurs in and aroundLakshmipuram and Gobbagurti areas of Khammam District of Andhra Pradesh.The area is within the Khammam Schist Belt., which is the northern extension of the Nellore Schist Belt of the Indian Peninsular Shield.Local entrepreneurs extract corundum based on certain faiths and beliefs since a long time.The nature of occurrence of corundum in these areas represents in-situ, float, and placer concentrations.Corundum occurs along with biotite gneisses, amphibolites and sillimanite-cordierite-diopside-bearing rocks, and magnesium-aluminium rich pelitic granulites.Tonalitic gneisses, cordierite-corundum rock and sillimanite schists form small lenticular bodies.The host rocks of corundum are intruded younger pegmatite veins that also have cut through the Precambrian suite of rocks.Distinct controls of corundum mineralisation manifested in geomorphology, structure and lithology are observed in an area that have proved to be very useful guides for understanding the various controls of corundum mineralization at Gobbagurthi as well as in surrounding areas of corundum occurrences in Khammam district.
Elite-pedagogical Ideas of the Russian Liberal Elitism Representatives in Understanding Revolutionary Events in Russia 1905–1907 years

The article analyzes the socio-political and philosophical thought of the domestic liberal elitism representatives in understanding the revolutionary events of 1905–1907 in the scope of elitology and elite-pedagogy. The comprehension of elite-pedagogical ideas is carried out around the discourse of the “Russian intellectuals” crisis, its role and responsibility for the events occurred through the prism of the phenomena of “elite transit” and “mass revolt”. It has been shown that the philosophical and pedagogical thought of Russian liberal elitism anticipated the culturological approach development and the meritocratic tradition of modern elitology and elite-pedagogy: formulation of the elite educating problem, which is responsible to the people and is involved in the surrounding majority, aware of the high spiritual responsibility for their creative space to the people; consideration of questions of the elite culture and education popularization, interaction of “elitist” and “mass” culture, education of the masses and the task of legitimizing the achievements of culture, science, art, politics in the masses. The knowledge of pedagogical phenomena in the context of elitology and elite-pedagogy, as well as the reflection of the history of pedagogy in line with the studied issues, will allow the author to identify negative trends in modern education that reduce its possibilities regarding the upbringing and education of the higher stratum of society.
Sluice used for goldmining, St Bathans Range, Otago

Photographer unidentified. Quantity: 1 b&w original negative(s). Physical Description: Film negative
Mathematical Games of Dice - A Research Based Calculations Using Computer Algebra Systems

In this paper, a game in which each player throws several dice is examined. The winner is theplayer whose sum of the dice he/she throws is higher than that of any other player. This rule makes it astraightforward game, but certain facts on the probability of winning are discovered. First, a variation ofthe game in which players use three standard (6-faced) dice or a 20-faced die is studied. It is found that ifplayer α with three standard dice plays against player β with a 20-faced die in a two-player game, theprobability of winning is the same for each. Conversely, the player with the 20-faced die has a better chanceof winning when the number of players participating in the game is greater than two. The game is alsostudied using different dice, which leads to the discovery of a sufficient condition of dice combinations for aplayer to increase the likelihood of winning against more than one other player. These mathematical factsare described via the computer algebra system Mathematica. There does not appear to be a game with thesame mathematical structure as the game treated in this article, although it is natural to select a person outof many people by random methods. Furthermore, it is essential to know the advantages and disadvantagesof the selection process of a person in such a process. Thus, the topic treated in this article is worthstudying.
Effect of backdoor attacks over the complexity of the latent space distribution

The input space complexity determines the model's capabilities to extract their knowledge and translate the space of attributes into a function which is assumed in general, as a concatenation of non-linear functions between layers. In the presence of backdoor attacks, the space complexity changes, and induces similarities between classes that directly affect the model's training. As a consequence, the model tends to overfit the input set. In this research, we suggest the D-vine Copula Auto-Encoder (VCAE) as a tool to estimate the latent space distribution under the presence of backdoor triggers. Since no assumptions are made on the distribution estimation, like in Variational Autoencoders (VAE). It is possible to observe the backdoor stamp in non-attacked categories randomly generated. We exhibit the differences between a clean model (baseline) and the attacked one (backdoor) in a pairwise representation of the distribution. The idea is to illustrate the dependency structure change in the input space induced by backdoor features. Finally, we quantify the entropy's changes and the Kullback-Leibler divergence between models. In our results, we found the entropy in the latent space increases by around 27\% due to the backdoor trigger added to the input
The New Method to Control Twin Rotor MIMO System (TRMS)

The algebra theory was developed by the group of authors in the 1990s and has had a great deal of application in various fields, such as information technology, image processing, control and automation. This paper presents the application of hedge algebras based on fuzzy logic to control TRMS, including the construction of the hedge-algebras-argument system; building the hedge-algebras-based controller (HAC) structure for nonlinear MIMO system; modeling, simulating the control TRMS. The results generated by the HAC are modelling and simulation in matlab-simulink demonstrating the superiority and feasibility of the proposed controller.
Inverse Visual Question Answering with Multi-Level Attentions

In this paper, we propose a novel deep multi-level attention model to address inverse visual question answering. The proposed model generates regional visual and semantic features at the object level and then enhances them with the answer cue by using attention mechanisms. Two levels of multiple attentions are employed in the model, including the dual attention at the partial question encoding step and the dynamic attention at the next question word generation step. We evaluate the proposed model on the VQA V1 dataset. It demonstrates state-of-the-art performance in terms of multiple commonly used metrics.
Comparative Study on Image Steganography: Knight Tour and Rivest Cipher Four Algorithms

Image steganography is a process of hiding message behind an image file which focuses on protecting the existence of a message secret. There is a security risk in the current image steganography process. Since stego-image will be transferred on unsecured Internet network, attackers will attack and try to decode the message behind the stego-image because of the vulnerable algorithm. Therefore, it is very important to search for a method to make the process of encoding the stego-image more secure. There are many algorithms developed to make the stego-image become more secured. However, the usage of Knight Tour (KT) and Rivest Cipher Four (RC4) algorithms in image steganography are still insufficient although that the algorithms are claimed to be secured and robust. KT algorithm is an easy mathematical technique that can increase the security of hidden information, meanwhile, RC4 is known as a simple algorithm but systematic in cover image programming. In this paper, the performance of KT and RC4 algorithms are observed to measure the security and robustness of JPG image format. Peak Signal to Noise Ratio (PSNR) and Mean Square Error (MSE) are used to observe the image quality to improve the security factor in the stego-image. From the results, it is found that KT generated better performance compared to RC4.
Dynamic Workflow Scheduling based on Autonomic Fault-Tolerant Scheme Selection in Uncertain Cloud Environment

Most of the existing methods cannot deal with the problem of fault-tolerant workflow scheduling in uncertain environment. Therefore, the paper proposes a dynamic workflow scheduling based on autonomic fault-tolerant scheme selection in uncertain cloud environment. In order to make full use of various cloud resources, the tasks that constitute workflow are divided into various types. And a computing capacity fluctuation model based on multiple states and jump points is established to describe the instability of cloud resource. Moreover, an extended fault-tolerant model is built to deal with various computation and transmission faults. Based on the two models and task classification, tasks are firstly assigned statically to appropriate virtual machines, then the fault-tolerant strategies and the actual execution for tasks are automatically adjusted in a dynamic manner. Experiments show that the proposed method can perform effectively in uncertain cloud environment while ensuring fault tolerance.
Attacks on Integer-RLWE

In 2019, Gu Chunsheng introduced Integer-RLWE, a variant of RLWE devoid of some of its efficiency flaws. Most notably, he proposes a setting where n can be an arbitrary positive integer, contrarily to the typical construction $$n = 2^k$$ . In this paper, we analyze the new problem and implement the classical meet-in-the-middle and lattice-based attacks. We then use the peculiarity of the construction of n to build an improved lattice-based attack in cases where n is composite with an odd divisor. For example, for parameters $$n = 2000$$ and $$q = 2^{33}$$ , we reduce the estimated complexity of the attack from $$2^{288}$$ to $$2^{164}$$ . We also present reproducible experiments confirming our theoretical results.
PENGARUH MEDIA PEMBELAJARAN INTERAKTIF BERBASIS ANDROID TERHADAP MOTIVASI DAN HASIL BELAJAR SISWA

Penelitian ini bertujuan untuk mengembangkan media pembelajaran interaktif berbasis android tema budaya nasional dan interaksi global, mengetahui pengaruh pembelajaran dengan menggunakan media pembelajaran interaktif berbasis android terhadap motivasi dan hasil belajar siswa. Penelitian ini menggunakan metode quasi eksperimen. Subjek dalam penelitian ini adalah siswa kelas XI SMA Pasundan 7 Bandung. Instrumen yang digunakan adalah lembar penilaian uji validasi ahli media, uji validasi soal pilihan ganda dan uji validasi motivasi belajar. Teknik analisis data menggunakan uji statistik parametrik dan uji statistik non parametrik. Hasil penelitian menunjukkan kecenderungan bahwa : (1) Pengembangan dilakukan berdasarkan teori model Luther (2) Meningkatnya motivasi belajar menggunakan media pembelajaran interaktif berbasis android pada kelas eksperimen (3) meningkatnya motivasi belajar menggunakan media powerpoint pada kelas eksperimen (4) Meningkatnya motivasi belajar siswa dengan menggunakan media pembelajaran interaktif berbasis android dibandingkan dengan media powerpoint (5) Meningkatnya hasil belajar sebelum menggunakan media pembelajaran interaktif berbasis android pada kelas eksperimen (6) meningkatnya hasil belajar menggunakan media powerpoint pada kelas eksperimen (7) Meningkatnya hasil belajar siswa dengan menggunakan media pembelajaran interaktif berbasis android dibandingkan dengan media powerpointKata kunci: Media pembelajaran interaktif, android, motivasi, hasil belajarThis study aims to develop an android-based interactive learning media with the theme of national culture and global interaction, knowing the effect of learning by using android-based interactive learning media on student motivation and learning outcomes. This study uses a quasi-experimental method. The subjects in this study were class XI students of SMA Pasundan 7 Bandung. The instruments used were assessment sheets for media expert validation tests, multiple-choice validation test and validation motivation for learning. Data analysis techniques using parametric statistical tests and non parametric statistical. Statistical test using t-test. The results showed a tendency that: (1) Development was carried out based on Luther's model theory (2) Android-based interactive media can increase learning motivation (3) Android-based interactive media can improve learning outcomes. Keywords: Interactive learning media, android, motivation, learning outcom
Shared Control Design Methodologies of an Electric Wheelchair for Individuals with Severe Disabilities using Reinforcement Learning

Individuals with severe disabilities typically suffer from lack of muscle power and deformation of their hands. This significantly affects their ability to operate an Electric Wheelchair (EW) especially when using joystick controllers because one operation of a joystick affects both the straight and turning motions of an EW. Thus, individuals with severe disabilities typically exhibit difficulties in operating an EW, especially in the cases that require fine steering capabilities. In contrast to autonomous driving, the study proposes a novel shared control method using reinforcement learning considering utilizing users' residual physical functions. With the use of online learning, the shared controller provides proper assistance based on the driving environments and each user's input characteristics. The effectiveness and the characteristics of the novel shared controller are discussed via simulations.
Ongoing Trends Of Knowledge Representation For Semantic Web: Review Study (Dept.E)

The Web is the richest information repository, but most of the information it holds is unstructured. Moreover, its power is limited by the ability of human users to navigate the various sources for the information they require. To overcome this defect, semantic web vision is anticipated to be a promising path towards transforming the present web content into a machine understandable. To support this vision, augmenting web pages with description about the content they hold is necessary to make it possible to reason about it. A major challenge is to capture knowledge and structure it in a format that can be processed automatically. Therefore, knowledge representation techniques, namely annotation and ontologies, support sharing common understanding of a domain among people and computers. A large number of tools have been developed to help web content annotations and ontology creation. This paper presents a generic review of knowledge representation techniques and tools that have been developed to support annotation as well as ontology building showing advances and ongoing research.
Understanding non-verbal sound of humanoid robots in films

People’s mental model of robots is of importance since it can influence their expectations of how a robot should appear and behave, which in turn will affect the interaction between human and robot ...
Editorial Ethics in Code Programming and Deep Artificial Intelligence Algorithms (IAp)

AI symbols, codes and algorithms are the automated microcomputer language equivalent of human language. By means of this programming language and within a support operating system, the human interacting with the personal microcomputer is practically communicating with the machine.
Development of Communicative Culture of High School Seniors in Different Age Groups as a Pedagogical Problem

The problem of development of communicative culture of modern high school seniors for modern pedagogical science on the basis of the needs the permission of the identified contradictions is revealed in the article. The author proposes the solution to indicated problem by utilizing the potential of intergenerational learning and interaction in mixed-age groups. Another, different from the traditional meaning of the term «high school senior», that is typical for schools implementing multiage training is represented.
Interpretable Neural Network Decoupling

The remarkable performance of convolutional neural networks (CNNs) is entangled with their huge number of uninterpretable parameters, which has become the bottleneck limiting the exploitation of their full potential. Towards network interpretation, previous endeavors mainly resort to the single filter analysis, which however ignores the relationship between filters. In this paper, we propose a novel architecture decoupling method to interpret the network from a perspective of investigating its calculation paths. More specifically, we introduce a novel architecture controlling module in each layer to encode the network architecture by a vector. By maximizing the mutual information between the vectors and input images, the module is trained to select specific filters to distill a unique calculation path for each input. Furthermore, to improve the interpretability and compactness of the decoupled network, the output of each layer is encoded to align the architecture encoding vector with the constraint of sparsity regularization. Unlike conventional pixel-level or filter-level network interpretation methods, we propose a path-level analysis to explore the relationship between the combination of filter and semantic concepts, which is more suitable to interpret the working rationale of the decoupled network. Extensive experiments show that the decoupled network achieves several applications, i.e., network interpretation, network acceleration, and adversarial samples detection.
Unique Software Engineering Techniques: Panacea for Threat Complexities in Secure Multiparty Computation (MPC) with Big Data

Most large corporations with big data have adopted more privacy measures in handling their sensitive/private data and as a result, employing the use of analytic tools to run across multiple sources has become ineffective. Joint computation across multiple parties is allowed through the use of secure multi-party computations (MPC). The practicality of MPC is impaired when dealing with large datasets as more of its algorithms are poorly scaled with data sizes. Despite its limitations, MPC continues to attract increasing attention from industry players who have viewed it as a better approach to exploiting big data. Secure MPC is however, faced with complexities that most times overwhelm its handlers, so the need for special software engineering techniques for resolving these threat complexities. This research presents cryptographic data security measures, garbed circuits protocol, optimizing circuits, and protocol execution techniques as some of the special techniques for resolving threat complexities associated with MPC’s. Honest majority, asymmetric trust, covert security, and trading off leakage are some of the experimental outcomes of implementing these special techniques. This paper also reveals that an essential approach in developing suitable mitigation strategies is having knowledge of the adversary type.
High schooler creates school supply cupboards for students in need

Many communities now have little free-lending libraries. Now, a Menomonee Falls sophomore is using that idea to fill a need in her community.
STRUCTURE OF THE EARTH’S CRUST AND UPPER MANTLE OF THE SOUTH SIKHOTE-ALIN FROM MAGNETOTELLURIC SOUNDING AND DENSITY MODELING

Based on the results of correlation of geoelectric and density sections made on the three-dimensional inversion from three sections located in the South Sikhote-Alin, the distribution regularities were emerged in the electric and density parameters, the relations between them were established, and new data on the structure of the Earth’s crust and upper mantle in the region were obtained. An assumption was made of the association of some density and electric inhomogeneity in the upper mantle with the processes of the Late Cretaceous subduction.
A Comparison of Big-step Semantics Definition Styles

Formal semantics provides rigorous, mathematically precise definitions of programming languages, with which we can argue about program behaviour and program equivalence by formal means; in particular, we can describe and verify our arguments with a proof assistant. There are various approaches to giving formal semantics to programming languages, at different abstraction levels and applying different mathematical machinery: the reason for using the semantics determines which approach to choose. In this paper we investigate some of the approaches that share their roots with traditional relational big-step semantics, such as (a) functional big-step semantics (or, equivalently, a definitional interpreter), (b) pretty-big-step semantics and (c) traditional natural semantics. We compare these approaches with respect to the following criteria: executability of the semantics definition, proof complexity for typical properties (e.g. determinism) and the conciseness of expression equivalence proofs in that approach. We also briefly discuss the complexity of these definitions and the coinductive big-step semantics, which enables reasoning about divergence. To enable the comparison in practice, we present an example language for comparing the semantics: a sequential subset of Core Erlang, a functional programming language, which is used in the intermediate steps of the Erlang/OTP compiler. We have already defined a relational big-step semantics for this language that includes treatment of exceptions and side effects. The aim of this current work is to compare our big-step definition for this language with a variety of other equivalent semantics in different styles from the point of view of testing and verifying code refactorings.