Reviewerly/exHarmony huggingface dataset:
Cost effective FPGA Implementation of Right-to-Left Modular Exponentiation with NAF-Representation

Modular exponentiation is an exponentiation performed over a modulus. It is useful in computer science, especially in the field of public-key cryptography. Most technological applications of modular arithmetic involve exponentials with very large numbers. In this paper, we propose a high radix reconfigurable implementation for the Right-to-Left Modular Exponentiation with NAF-Representation by exploiting the maximum possible parallelism of the internal operations. The proposed design targeted the ALTERA Cyclone IV FPGA (EP4CGX22CF19C7) along with Quartus II simulation package. The proposed design was evaluated in terms of the maximum operational frequency, the total path delay, the total design area and the total thermal power dissipation. The synthesized results revealed that the proposed high radix architecture implementation has recorded: critical path delay of 25.5 ns, maximum operational frequency of 44.59 MHz, hardware design area (number of logic elements) of 2556 LEs, and total thermal power dissipation estimated as 221.82 mW. Consequently, the proposed modular exponentiation architecture can be efficiently employed by many public key cryptographic mechanisms.
Fiber-based high-dimensional quantum communications

Quantum communication, i.e., the ability to transport a quantum state from one place to another, represents a crucial task for many quantum applications, i.e. quantum cryptography, quantum secret sharing and quantum networks. However current systems present main limitations in terms of low information rates, short propagation distances and low compatibility with today classical optical infrastructure. These restrictions bound the development of this field and its practical applications. High-dimensional quantum communication can help in overcoming these challenges enhancing the information rate and the system error tolerance. We here report our recent results on high-dimensional fiber based quantum communication, both with multicore and multimode fibers, in which we prove the capability of preparing, manipulating, transmitting and measuring advanced quantum states with excellent fidelities. Our results pave the way towards high-dimensional quantum communication in an optical fiber infrastructure.
Generalized Camera Array Model for Standard Plenoptic Cameras

Plenoptic cameras discriminate the contribution of each ray emanating from a particular point by placing a microlens array between the main lens and the image sensor. The collection of rays captured by these cameras can represent the physical microlens camera array or can be rearranged to represent a virtual camera array with a very narrow baseline (viewpoint camera array). In this work, we extend the common camera arrays considered for standard plenoptic cameras (SPCs) and define the geometry associated with the different virtual camera arrays that can be obtained by shearing the lightfield (LF). This geometry is validated using a publicly available calibration dataset and calibration toolbox. The results show that the geometry proposed is capable of describing the multiple viewpoint and microlens camera arrays.
Application of Wavelet Transform in Image Super-Resolution

Abstract Most of learning-based super-resolution (SR) methods reconstructed high resolution (HR) image using a very deep convolutional neural network (CNN). CNN-based methods are used to process low resolution images, the predicted image is too smooth and some texture details are ignored. In order to improve the quality of the recovered high resolution image, wavelet transform is applied at the end of our model. Firstly, the prediction image is obtained through the CNN model; then, the predicted image and the ground truth image are processed into four frequency channels by wavelet transform; at last, four frequency channels and original image are considered when calculating loss. Compared with the original CNN model, the results of adding wavelet transform is obviously improved.
Dealing with Swarm Intelligence on GPUs

Nowadays, any personal computer includes a GPU that allows to use its parallelism to speedup computations. Unfortunately, it is not a trivial task to take advantage of such parallel architectures. In this paper, we present a library of swarm intelligence metaheuristics providing automatic parallelizations. The library is freely available, it is implemented by using CUDA, and it includes parallel versions of metaheuristics for both continuous and discrete domains. We show the basic ideas of the parallelization of one of the metaheuristics, and we prove its usefulness by presenting empirical results.
Modernizing the Introduction to Software Engineering Course

We describe the modernization of an undergraduate introductory course in software engineering that started in 2017–2018 (semester 2) offered at the University of Puerto Rico. We present the institutional setting, our underlying philosophy, and resources considered. We aimed at complementing informal descriptions in any phase with formal ones. We describe the revised course, discuss evaluations of the modernized course as held in two subsequent semesters, and outline options for future improvement.
Dynamics of two dipole-coupled superconducting qubits interacting with two independent cavity modes

Abstract In this paper, we have investigated the entanglement dynamics between two dipole-coupled superconducting qubits not resonantly interacting with two microwave modes of independent coplanar resonators. The case of different atom-field couplings has been under consideration. Using the dressed-states technique we have derived the exact solution of the evolution equation for separable initial qubits states and field modes in the vacuum states. On its basis the negativity as a measure of qubit-qubit entanglement has been calculated. The time dependence of negativity for different values of detuning between the qubits and fields frequencies, atom-field couplings and strength of the dipole-dipole interaction has been investigated for different separable initial qubits states.
Issues of personal self-realization in the concept of education by J. Krishnamurti

The article discusses the problems of individual development and self-development, put forward in the teachings of the Indian thinker J. Krishnamurti, explores the specifics of the humanistic approach in the modern cultural educational space. The author analyzes the content of the cultural-like and cultural-creation paradigm of J. Krishnamurti’s education and upbringing, reveals its main ideas and provisions, traces the ways of forming psychological and mental attitudes that have internal constant value. The article gives an analysis of the projective pedagogical and educational decisions of J. Krishnamurti, allowing you to change the idea of education as an information-cognitive process and remove the narrowly focused scientific and utilitarian principles of its construction.
Summary of: An Evaluation of Interaction Paradigms for Active Objects

This short paper summarises the contributions published in [1]. The purpose of this paper is to compare communication paradigms of active object languages considering expressiveness, efficiency, syntactic and semantic complexity including ease of reasoning.
Water Resources Shortage Risk Prediction of Shanxi Province Based on Fault Tree Analysis and Markov Chain Model

Abstract The shortage of water resources that mankind is facing is also increasing. Shanxi province is one of the most famous traditional heavy-industry bases in China. And it is also one of the most serious water-shortage provinces in China. At present, the status of coal in the world energy structure is declined. Shanxi province is facing a critical period of transformation of industrial structure. How to solve the problem of water shortage and support the rapid development of social economy in Shanxi province is to be solved urgently in the area. Based on the specific situation of water shortage in Shanxi Province, this paper discusses the Markov prediction method and fault tree analysis model for the risk of water shortage in Shanxi Province, and we provides suggestions to prevent and solve water resources shortage in the process of economic and social development in Shanxi province.
A preliminary study of bit-integer hash function for bilinear pairing identity-based cryptosystem

Abstract Hash function is a crucial part of identity-based cryptosystem, especially for identity-based cryptosystem that utilize bilinear pairing as its core mechanism. However, the hash function has specific requirement that most of commonly known function are not suitable for this purpose, especially the requirement that requires the output length of function is varies. A variable length hash function, such as HAVAL, only provide multiple option for its output length. While the identity-based cryptosystem require that the length of the output can be any number. This study aims to create a hash function to fulfil the identity-based cryptosystem requirement. This study modifies the MD5 hashing algorithm to produce a variable length output, which called the Bit-Integer hash function. The result shows a proof-of-concept that Merkle-Damgård construction can be used to create a variable length hash function. The hash value of Bit-Integer hash function can produce random-like result which is essential for any cryptographic hash function.
Convergent Principles of Holistic Assembly of Strategic Subjects Using the Situation Centers of Development and Cognitive Artificial Intelligence

The paper addresses the issue of the holistic assembly of strategic subjects that cannot be carried out by classical approaches with logical and formalized techniques only. To take into consideration non-formalizable aspects of collective decision-making (unconscious, corporate spirit, emotions, feelings, thoughts, meditations, etc.), the principles of ensuring the convergence of the holistic assembly are formulated based on the methods of inverse problem-solving, artificial intelligence, category and topology theories, thermodynamics, and quantum semantics. This paper focuses on the application of quantum semantics that helps to accelerate the convergence of the holistic assembly of strategic subjects, making it more purposeful and sustainable. Some practical applications are listed.
Second-Order Pooling Deep Hashing for Image Retrieval

Recently, due to advantages of high computational efficiency, small storage cost as well as high discriminability, deep hash methods have been widely studied in a number of large-scale visual applications. To achieve more compact hash representation, we propose a novel supervised deep hash method for image retrieval task in this work, which successfully embeds second-order pooling operation into existing deep hash model in an end-to-end manner, namely second-order pooling deep hashing (SoPDH). Our SoPDH mainly consists of four parts, i.e., a basic deep feature extraction module, a second-order pooling operation based on matrix decomposition, a hash encoding module and a semantic classification layer. The embedded second-order pooling operation not only guarantees the local prominence of deep features, but also introduces the global statistic feature information, which could lead to a more robust hash coding result. We extensively evaluate the proposed SoPDH on two commonly-used datasets, and experimental results demonstrate its effectiveness for image retrieval task.
Freedom of Information and Australian criminology

This chapter examines the question of why it is rare to see Freedom of Information (FOI) requests or research documented in Australian criminological research. It provides a brief overview of the leading FOI literature in Australia, which reinforces the presumption of information disclosure by all publicly administered government departments, yet dilutes these requirements where private operators are contracted to provide all or part of these services. The chapter then explains the key facets of Australia’s state and Federal FOI laws, and the legislative exemptions that commonly justify non-disclosure of government information under both regimes, before providing an illustrative case study that demonstrates how these laws operate in practice. The aim is to show how FOI officers within justice agencies and independent administrative tribunals frame the presumption for information disclosure by government agencies against a crime suspect’s right to privacy. The chapter concludes with a brief discussion designed to encourage more empirical research on FOI in Australian criminology, in light of the clear barriers to information disclosure established by FOI officers operating within justice agencies, administrative tribunal decisions and the commercial secrecy requirements that characterise many government subcontracting arrangements.
Blockchain-Based Bilateral Energy Transaction Platform

After the full liberalization of Japanese retail electricity market, a number of new entities started their business in the electricity industry. All entities are obligated to form the balancing responsible parties (BRPs) which keep individual supply and demand in balance over a given timeframe. As entities get diverse, more flexible utilization of bilateral contract is needed which accommodates the last minute change of agreed offtake schedule between the contract parties. However, this new model brings challenges concerning unclear responsibility, misunderstandings of the latest plan and complex operation. To solve these issues, we introduce a new blockchain-based bilateral transaction platform. It enables participants to change prescheduled multiple contracts simultaneously in a cost-effective way. After each transaction is agreed, the platform transmits updates to all participants concerned using blockchain functions. The feasibility of implemented logic was evaluated by simulations under three different system conditions. The results show that BRPs' imbalance was reduced in all scenarios by the proposed approach.
Strategies for Online Information Search by University Students: the Relationship between Educational Use of the Internet and Cognitive Styles

The paper presents the results of experimental study of students’ information searching strategies on the Internet. The study was aimed to analyze the relationship between university students’ strategies of information Internet search for educational tasks and style characteristics of their cognitive activities (styles of information coding, styles of information processing and styles of cognitive regulation). The study was based on the Level model of cognitive-style characteristics (Kholodnaya, 2002). Main methods of study were experimental modelling of educational situations and testing for assessment of students’ styles of information coding, information processing and cognitive regulation. The results of experimental study allowed to identify two strategies of educational online searching (“direct online searching” and “improving online searching”) and their relationship with students’ cognitive characteristics and academic achievements: students’ strategies of educational online search are determined primarily by the characteristics of cognitive regulation. The results did not reveal a direct link between strategies educational online search and academic achievement.
Effect Of Profile on Auditor Certification Try Out Using A Computer Based Test

Abstract Evaluation of auditor capabilities is generally carried outconventional, in the form of written and face-to-face examinations that require timespecial and big fees. Measurements are made not periodically so that they are static and closed. Computer Based Test (CBT) is a test / evaluationheld using a computer. Difference with the testconventional lies in the technique of delivering items that are no longeruse paper, both for the question script and answer sheet. The aim of this study is to determine the effect of user profiles on Auditor certification (CISA) with Computer Based Test (CBT). The method used in this study uses a quantitative approach. data collection can be obtained from the results of the questionnaire. The results show how profiles can provide better assessments that motivate auditors to engage with their learning so that they can develop elements that are directed towards themselves from the exercise they do. This can be concluded because the auditor’s habit of evaluating himself by doing exercises is still lacking, so the success rate to pass the CISA certification is not good. With this research, the auditors will be more concerned to make preparations in advance so as not to waste time and money and increase the success of passing CISA certification.
Surface roughness estimation by using a 3D model reconstructed from multiple images

Abstract In this paper, the roughness parameters of the part are estimated based on its reconstructed 3D model. Reconstruction of the 3D model was carried out using the structure from motion photogrammetry method. Preliminary processing of the 3D model consisted in fitting the plane to the point cloud of the 3D model using the least squares method, aligning and scaling the 3D model. Also, the resulting 3D model was approximated using the radially basic functions to obtain a uniform cloud of points. Next, the obtained point cloud was filtered to identify 2D and 3D roughness profiles. As filters, a Gaussian filter and 2RC were used. The roughness parameters of the obtained profiles were calculated. A comparison of the roughness parameters calculated on the basis of the 3D model and the roughness parameters calculated by the BV-7669 profilometer was made.
The Study of Predicting Social Topic Trends

The rapid growth of the social media leads people participate in the popular topics that have been discussed in our daily lives by the social networks. Large amounts of word-of-mouth and news event have flood the social media. Recognizing the trends of the main topics that people care about from the huge and various social messages, grasping the business opportunities and adopting appropriate strategies have become an important lesson for business, governmental and non-governmental organizations. Previous research on social topic detection has focused on sentiment analysis for content. This study integrates the hidden markov model and latent dirichlet allocation topic model to forecast trends of the social topics based on time series data of user reviews. Experimental results on real dataset showed that the approach proposed by this study are able to recognize the latent social topics, keywords and forecast the trends of social topics effectively on the social media.
EAAP: Efficient Authentication Agreement Protocol Policy for Cloud Environment

Cloud computing is emerging environment for computing and storing of data, where multiple users can use or share files (documents, image, video etc.) stored in server by web browser through several devices using internet. To keep securely documents and files, we use cloud security technique in diverse way. In order to use cloud services the authentication is must for all in cloud environment. Security is major challenge for users as well as data storage on cloud. In this paper, An Efficient Authentication Agreement mechanism/protocol (EAAP) is proposed which incorporate Diffie-Hellman key exchange mechanism with Elliptic Curve Cryptography to provide a better security policy for the cloud environment.
Combined authentication schemes with increasing level of resistance and methods for improving the security of electronic signature schemes

The highly topical and groundbreaking issue of many studies is quantum technology. More and more articles appear not only in the world's leading scientific publications, but also in the media, on the creation of a quantum computer capable of solving the factorization problem (FP), the discrete logarithm in a simple finite field problem (DLSFFP) and discrete logarithm in the group of points of an elliptic curve problem (DLECP) in polynomial time. Some scientists give a 20-year timeline to implement a full-scale quantum computer [1]. This means that cryptographic mechanisms based on the above tasks will lose their cryptographic stability. Such mechanisms include the current standard of the Russian Federation GOST 34.10-2012 "Information technology. Cryptographic information security. Processes of formation and verification of electronic digital signature" and the current standard of the United States of America ECDSA, and many other protocols.
SCAN-ME: The Development of Augmented Reality Application Prototype using Information, Interface and Interaction Aspect

In an attempt to attract greater tourist expenditure along with greater tourist arrivals, this article proposes a tourist application called the SCAN-ME, that works by creating user suggestions based on the travel goal and individual budget limitations. The applications are based on augmented reality technology, whereby the user is presented with a three-dimensional model based on input from real world environment. This project was developed using Autodesk Maya, Unity, and Vuforia. By developing this application, tourists enriches the real-world with interactive virtual information that allows visitors to unfamiliar places to identify the most important and interesting points of interest and learn more about their surroundings. User testing gave a positive feedback on the idea of using augmented reality to promote Malaysian Tourism particularly in Penang. The scope of this project is for visitor. The target user of this application is the tourist who come to Penang for holiday. The aim of this project is to explore an implementation using paper maps as base map and overlay digital information accessed via a mobile device. Besides, to develop an AR Technology in tourism that can interact the real and virtual object and to evaluate easy access to information and reliable. This application gives more attractive information to tourist and will helps them to understand more about places in Penang.
A Preliminary Study on Parkinson’s Disease with Regularized Logistic Regression Method

Parkinson's disease is a long-term degenerative disorder of the central nervous system.In this paper, we have used gradient descent method with regularized logistic regression to give suggestions on the possible reason for the rise of this disease.Results with different regularization are presented and compared.We hope this could open a new way for studying complex diseases using data methods.
Community of Practice: Supporting EFL Pre-Service Teachers in Conflict Resolution

This study was carried out to explore and describe the results of building a community of practice with a group of English pre-service teachers aiming to boost new educators’ professional development by addressing conflicts among students, a frequent issue in public schools. On the other hand, technology was integrated into the process not only as an instrument to build the community, but also as an instrument to gather information throughout this study. In this regard, a blog was created, taking advantage of characteristics that online communities of practice have over traditional face-to-face communities. This study takes a descriptive-interpretative qualitative research method in order to analyze and describe data obtained from the members. The community members were seventeen pre-service English teachers from a public University in Bogota, Colombia, who were working on their pedagogical practicum in a public school in the same city. Findings suggest that building a community of practice with the PSTs improved their abilities to identify issues in their classroom resulting in an improvement in their profession. Moreover, it was observed that building an online community created a comfortable environment that enhanced members’ confidence when sharing anecdotes, experiences, and knowledge with others.