Reviewerly/exHarmony huggingface dataset:
Market basketball analysis algorithm for determining products association

Abstract Market basket analysis may be a technique identify the association between couple’s products purchased jointly and identify cases. Scene an occurrence is when two or more things happening. Market basket analysis makes rules if-then, scenario for instance, if an item purchased a and b will likely. bought items rule is probability in nature or, in other words, they are available from the incident. In observation the frequency is that the proportion of a basket of things which will be employed interesting. Rule, price, product placement and various varieties of cross-selling strategy. In order to create it easier to grasp, think in terms of market research handbasket in a very supermarket. Market basket analysis taking data on the transactions containing an inventory of all items that bought by customers in a very purchase. The technique is ascertaining the relations which product bought on other products. This relationship then wont to construct the containing the if-then items purchased. Market basket analysis also called a rule association or analysis affinity, learning may be a technique data processing can be used in numerous fields, as education, marketing, informatics and science. The aim is to include retailer’s awareness of buyers’ actions in order for the retailers with knowledge about the actions of purchasers, which will allow the tailor to make the right choices. All of the numerous market basket algorithms available to try to do. Algorithms, whose current work is on statics and which did not catch data changes in time, but algorithms not only intended to mine static information, but also provided new ways of calculating modifications on paper-listed association processing rules, and provide new algorithms that could stimulate market engagement and encourage up-selling.
Realization of the Practice-Oriented Educational Process in Physics as a Means of Achieving the Goals of Modern School Physics Education

The section of the monograph describes the author's methodology for implementing a practice-oriented educational process in physics through teaching schoolchildren in methods of solving applied problems and implementing projects. The content of the activity on the development of an educational project is highlighted, the final product of which is a model of a technical device designed to solve vital problems for a person. The requirements for the formulations of applied problems reflecting the purpose and specific properties of a technical device are identified. The applied problems are given, the solution of which in physics lessons makes it possible to form a generalized method of creating a material object of a certain purpose. Methods of creation are described and photographs of some operating models of technical devices, such as «gateway», «granary», «lights», «transformer» are given.
Two-dimensional generalized instantaneous images and approximations of the Pade type function of two variables

Generalized instantaneous image were introduced by V.K. Dzyaduk [1] in 1981 and proved to be a convenient tool for constructing and studying the Padé approximants and their generalizations (see [2]). The method of generalized instantaneous images proposed by Dzyadyk made it possible to construct and study rational Padé approximants and their generalizations for many classes of special functions from a single position. As an example, the Padé approximants is constructed for a class of basic hypergeometric series, which includes a q-analogue of the exponential function. In this paper the construction of the Pade approximants for the function of two variables is investigated. A two-dimensional functional sequence is constructed, which has a generalized instantaneous image, and rational approximants are determined, which will be generalizations of one-dimensional Padé approximants. The function of the two variables is entirely related to the basic hypergeometric series.
Research on the Secondary Development of Mechanical Engineering English Textbooks based on the Concept of CIPE

Abstract The focus of research on CIPE has been shifted from the macro level to the micro level. This paper focuses on the research on the specific paths and methods of integrating CIPE into the whole process of classroom teaching. Special attention will be given to the five aspects of secondary textbook development, that is, revision of curriculum standards, generation of CIPE connotation, optimization of textbook structure, cohesion of teaching mode innovation and classroom teaching effectiveness.
Spatial negotiation: understanding the inside and outside of temporary space

Abstract The meaning of interior space has expanded beyond the architectural borders. Once existing within the domestic boundaries, interior space can now be experienced in the urban context through temporary space as it repurposes unused land. A common phenomenon of temporary space within the urban context is a street vendor selling foods. In this era, some street vendors’ presence correlates with the internet and social media to elevate their products. This action makes human’s activity more effective and efficient. However, how about the realization in the urban context? In this case, we will focus on one kind of street vendors in Indonesia. Angkringan Mbah Ino in Depok, West Java, is an example of a temporary space that exists and operates in the city. The presence of the angkringan creates a new interior space that is adaptable and changeable, adjusting to its site, activities, and time. This paper will explore spatial negotiation between inside and outside that occurs in food vendors. An adjustment will be negotiated with the environment and the people around it. The analysis started with field observation and an in-depth interview with the seller and then was continued to map the ever-changing spatial programming of angkringan to the sidewalk. By observing and comparing government’s regulations on street vendors, this paper investigates how affordances work to support the socio-economic needs and transform the intended use of public space. This paper serves as a trigger for a new law beneficial to street vendors and pedestrians in the future, especially for Depok City.
Development of a child’s visual thinking by the means of original children’s animation

The modern sociocultural situation causes the need to use distance learning technologies even at the level of preschool education, as well as the increased use of information technologies as a means of working with preschool students. The goal of the present article resides not in the analysis of the positive and negative aspects of information technologies in preschool education but the search for and the substantiation of the mechanism of their effective implementation. One of the most effective mechanisms is presented by the technique of original children’s animation. The potential effectiveness of the indicated process is examined in the context of the development of children’s visual thinking. Thus, the article presents the authors’ attempt to substantiate the development of the method of original children’s animation determining the development of children’s visual thinking accounting for the requirements of modern information society and to propose specific recommendations for the software of a children’s animation studio. The set goal is achieved using the methods of content analysis, the methods of comparative analysis of scientific and methodological materials and system analysis, the method of mathematical and statistical data processing, expert assessment, and generalization of study results. Based on the study results, an educational module “I CREATE THE WORLD Animation Studio” is developed and introduced into the practice of preschool pedagogics as a potentially effective instrument for the development of visual thinking and recommendations for the software of a children’s animation studio in a kindergarten are proposed.
Social Aspects of the Readiness of Modern Society

The article is concerned with the study and analysis of social aspects which reflect the willingness to digitize modern society, the results of the study of the spread of digital technologies and opportunities that are increasing, therefore, are being used in various areas of public production and daily living. It is common knowledge that in order for digital technology to become more active in the service of humans, it is necessary to develop the skills and abilities of the population in mastering digital literacy and the spread of digital culture [5, 6], which significantly expands the potential for digital consumption. The aim of the article is to study the conditions created in our society to improve digital literacy and the spread of digital culture among the population, because the challenges of developing digital competencies to enhance the needs of citizens is now at the forefront and their interests in the digital economy. Study results: the concept of “digital literacy” and “digital culture” have been formulated; the authors have identified the main social consequences of the results of the use of digitization processes in society—an increase in the variety, quality and time of receiving the state electronic services at all levels, appearance of a new profession related to providing advices on digital literacy to the population, erasing the boundaries of social exclusion of certain categories of citizens, as well as improving the quality of life in general.
Quantum Networking, where it is headed

It is an undeniable fact that computer science has gone a long way, from the invention of transistor-based electronic computers to the rise of artificial intelligence and quantum computing. Now that we are looking at the quantum horizon, the last piece that would complete the quantum revolution is quantum networking.
TEEp: Supporting Secure Parallel Processing in ARM TrustZone

Machine learning applications are getting prevelent on various computing platforms, including cloud servers, smart phones, IoT devices, etc. For these applications, security is one of the most emergent requirements. While trusted execution environment (TEE) like ARM TrustZone has been widely used to protect critical prodecures including fingerprint authentication and mobile payment, state-of-the-art implementations of TEE OS lack the support for multi-threading and are not suitable for computing-intensive workloads. This is because current TEE OSes are usually designed for hosting security critical tasks, which are typically small and non-computing-intensive. Thus, most of TEE OSes do not support multi-threading in order to minimize the size of the trusted computing base (TCB). In this paper, we propose TEEp, a system that enables multi-threading in TEE without weakening security, and supports existing multi-threaded applications to run directly in TEE. Our design includes a novel multithreading mechanism based on the cooperation between the TEE OS and the host OS, without trusting the host OS. We implement our system based on OP-TEE and port it to two platforms: a HiKey 970 development board as mobile platform, and a Huawei Hi1610 ARM server as server platform. We run TensorFlow Lite on the development board and TensorFlow on the server for performance evaluation in TEE. The result shows that our system can improve the throughput of TensorFlow Lite on 5 models to 3.2x when 4 cores are available, with 13.5% overhead compared with Linux on average.
Efficient Training Convolutional Neural Networks on Edge Devices with Gradient-Pruned Sign-Symmetric Feedback Alignment

With the prosperity of mobile devices, the distributed learning approach enabling model training with decentralized data has attracted wide research. However, the lack of training capability for edge devices significantly limits the energy efficiency of distributed learning in real life. This paper describes a novel approach of training DNNs exploiting the redundancy and the weight asymmetry potential of conventional back propagation. We demonstrate that with negligible classification accuracy loss, the proposed approach outperforms the prior arts by 5x in terms of energy efficiency.
An Efficient and Anti-abuse Network-layer Anonymity Protocol under SDN

An increasingly large number of users have begun using anonymous communication systems to protect their privacy, which means people pay more attention to privacy-preserving. Meanwhile, these anonymous systems are also abused by cybercriminals for malicious criminal activities, posing threats to network security. Therefore, we propose An Efficient and Anti-abuse Network-layer Anonymity Protocol under Software Defined Network (SDN) architecture, named ENAP-SDN, to provide not only strong anonymity to users, but also supervision on illegal and criminal activities. We use the SDN controller to provide an elaborate-designed mechanism of secure path establishment that hides path information and randomizes the position of encrypted routing information of every node. Besides, we design some interfaces between controller and nodes to obtain different levels of access to original path information to help prevent anonymity abuse. Our experiments demonstrate the privacy and efficiency of our proposal.
End-to-end Modeling for Selection of Utterance Constructional Units via System Internal States

In order to make conversational agents or robots conduct human-like behaviors, it is important to design a model of the system internal states. In this paper, we address a model of favorable impression to the dialogue partner. The favorable impression is modeled to change according to user’s dialogue behaviors and also affect following dialogue behaviors of the system, specifically selection of utterance constructional units. For this modeling, we propose a hierarchical structure of logistic regression models. First, from the user’s dialogue behaviors, the model estimates the level of user’s favorable impression to the system and also the level of the user’s interest in the current topic. Then, based on the above results, the model predicts the system’s favorable impression to the user. Finally, the model determines selection of utterance constructional units in the next system turn. We train each of the logistic regression models individually with a small amount of annotated data of favorable impression. Afterward, the entire multi-layer network is fine-tuned with a larger amount of dialogue behavior data. An experimental result shows that the proposed method achieves higher accuracy on the selection of the utterance constructional units, compared with methods that do not take into account the system internal states.
On the Security of a Certificateless Strong Designated Verifier Signature Scheme with Non-delegatability

Strong designated verifier signature scheme is a cryptographic primitive that aims at only enables the designated verifier to check the correctness of the signature, while any third party can not verify whether this signature is valid or not. Recently, Chen et al. [27] proposed the first certificateless strong designated verifier signature scheme with non-delegatability. They showed that their scheme satisfies the basic properties of a designated verifier signature scheme and resists the two types of adversaries in certificateless cryptography. However, in this paper, we show that the security models defined in their paper cannot describe the actual behavior of adversaries correctly. Their scheme still has some security weaknesses. We redefine the security models and give an effective attack on Chen's scheme under the new models.
Field Portable Micro Endoscopy for In Vivo Microscopy of Cancerous Tissue: A Point of Care Device

In this paper, we have demonstrated a GRIN (gradient index) rod-lens-based imaging device for the detection of cancer tissue. The imaging has been carried out in transmission mode as well as in reflection mode. Since endoscopic methods are meaningful in reflection mode, thus main focus here is reflection mode imaging. The device has been used for the imaging of biological samples such as onion epithelial cells, normal skin tissue, breast cancer tissue etc. In future, we use this device for detection of cancer during intra-operative procedure with the help of fluorescence microscopic imaging.
Diagnosis of Deformation Stages with Optical Interferometric Technique and Comprehensive Theory of Deformation and Fracture

A method to diagnose the stages of deformation nondestructively, quickly and as full-field information is discussed. In-plane sensitive Electronic Speckle-Pattern Interferometry is used in the subtraction mode to form the fringe pattern representing the differential displacement occurring during a short-time interval. The dark fringes in a fringe pattern exhibit the contours of the differential displacement field. The interferometer keeps forming such fringe patterns continuously. The change in the fringe pattern with the development of the deformation is interpreted based on a field theory of deformation and fracture. Based on a fundamental principle of physics, this theory describes all stages of deformation and fracture on the same theoretical basis. It does not need to use phenomenology or empirical formulation of the phenomenon. The transition from one stage to another, e.g., the elastic to plastic stage or the plastic to fracturing stage, of given deformation is diagnosed based on specific features of the fringe patterns and the field theoretical interpretation of the features. The transition from the elastic to plastic stage is characterized by the generation of shear instability that triggers the initiation of a large-scale rotation wave. The transition from the plastic to fracturing stage is characterized by the immobility of the rotation wave that causes the generation of material discontinuity.
Business Decisions Support using Sentiment Analysis in CRM Systems

This work tackles the problem of Sentiment Analysis in Customer Relationship Management (CRM) Systems. We present two different approaches, one is based on Natural Language Processing (NLP) algorithms, and the other approach is based on Machine Learning Probabilistic Classification. For experimental results, we used a dataset of online customers reviews on a product, to simulate a CRM system. The Machine Learning model showed a better overall classification results than the NLP-based approach. But through the NLP-based approach we were able to extract the list of product's aspects.
On One Approach to Goal-Driven Proof Search in Classical First-Order Logic

An approach to a computer-oriented proof search in classical first-order logic leading to the construction of goal-driven sequent calculi that do not require skolemzation and one of which is a quantifier-rules-free one is presented. Results about the soundness and completeness of proposed sequent calculi are obtained through establishing their coextensivity with a usual Gentzen sequent calculus.
Practices of teaching and upbringing of young people in the Internet space

Mediatization and internetization of all areas of people’s lives have become key prerequisites for the digitalization of educational practices. An increased interest in this field along with insufficient research into it has determined the relevance of this study. Its purpose is the attempt to generalize and systematize the practices developed during the authors’ professional work. To achieve this purpose, the authors chose theoretical methods. They reviewed and analyzed the practices of teaching and upbringing of young people in the Internet space and audiovisual educational formats. The article deals with the practical cyberpedagogy practices of teaching and upbringing of young people in the Internet space: 1) Internet project development (Internet projecting); 2) network support of educational disciplines in social networks; 3) audiovisual formats in the education process; 4) remote psychological work. The authors examine the integration of audiovisual media into educational activities and the opportunities for psychological support for educational activities in cyberspace. The formats of media content used for teaching schoolchildren and students through digital technologies are specified. The authors note the positive aspects of the process of education visualization and the application of the practices and note the associated risks and ways to overcome them. The novelty of the results of this theoretical study consists in the following: the authors generalize and analyze the practices of teaching and upbringing of young people in the Internet space, conclude on the most relevant practices, examine the risks of using these practices, and propose the recommendations on how to avoid these risks. The above will allow university lecturers and school teachers, the target audience of the article, to use these practices productively and minimize the possible negative consequences.
Robust testing of low dimensional functions

A natural problem in high-dimensional inference is to decide if a classifier f:ℝn → {−1,1} depends on a small number of linear directions of its input data. Call a function g: ℝn → {−1,1}, a linear k-junta if it is completely determined by some k-dimensional subspace of the input space. A recent work of the authors showed that linear k-juntas are testable. Thus there exists an algorithm to distinguish between: (1) f: ℝn → {−1,1} which is a linear k-junta with surface area s. (2) f is є-far from any linear k-junta with surface area (1+є)s. The query complexity of the algorithm is independent of the ambient dimension n.
Session-Based Random Selection Padding Scheme with Elliptic Curve Cryptography for Web Service Security Development

The development of information technology shifts the users to access different services and perform various activities through Web services. The Web services provide easy adaptation and accessibility to the users. As the Web services are loosely coupled, they have more chance of being caught by middlemen and subject to various threats. To improve the security of Web services, there are many approaches being discussed, but lags with security performance. To improve the security session-based random selection padding scheme is discussed in this paper. The method initializes the elliptic curve and splits them into a number of sections. At each session, a specific section is selected randomly and a single key will be used as the private key for the session. The selection of the key will be performed randomly. Similarly, based on the numeric value of the region selected, a padding scheme will be used. The proposed method reduces the time complexity of key generation and verification. Also the proposed method improves the performance of the Web services.
WITHDRAWN: Academic staff satisfaction with electronic assessment: A Cross-sectional study in Saudi electronic University

The aim of this study is to investigate the academic staff satisfaction with Electronic Assessments (e-assessment) in Saudi Electronic University (SEU) using an original self-administered questionnaire. A cross-sectional survey was carried out using an original standardized questionnaire. It involved 231 academic staff members at the SEU. The questionnaire consists of 17 items including: (the initial preparations for e- assessments, the skills of faculty members to employ e- assessments, the grading and/or monitoring permissions given to the faculty members, department’s chairs and deans at SEU. The results show that the level of academic staff satisfaction with the use of e-assessments in SEU high, as the highest rate of satisfaction was for grading and monitoring students’ status, and the lowest rate of satisfaction was the initial preparation for the e-assessment.