Reviewerly/exHarmony huggingface dataset:
A Comparative Analysis of Traditional Test of College Oral English and Computer-Based Oral English Test

Comprehensive, objective, scientific and accurate oral English evaluation system, as an important part of college English teaching, is an important basis to ensure teaching quality. This paper compares and analyzes the characteristics and advantages of the traditional college English speaking test and the computer-based college English speaking test, affirms the positive effect of the computer-based speaking test and its promoting effects on college English teaching.
Nonparametric Bayesian Method for Robot Anomaly Diagnose

In this chapter, we introduce two novel anomaly diagnose methods using the Bayesian nonparametric hidden Markov models when anomaly triggered, including i)multi-class classifier based on nonparametric models, ii) sparse representation by statistical feature extraction for anomaly diagnose. Additionally, the detail procedure for anomaly sample definition, the supervised learning dataset collection as well as the data augmentation of insufficient samples are also declared. We evaluated the proposed methods with a multi-step human-robot collaboration objects kitting task on Baxter robot, the performance and results are presented of each method respectively.
A Directed Reading-Thinking Activity (Dr-Ta) Towards Students ‘Critical Reading

This current study aimed to find out whether DR-TA (Directed Reading- Thinking Activity) had a significant effect on the critical reading skills of the English department students of FPBS IKIP Mataram or not.The population of this research was 238 students and the samples were taken by using cluster random sampling technique the sample was 80 students which was consisted of 41 students in the control group and 39 students in the experimental. This research is quantitative with a quasi-experimental design: the non-equivalent control group design. To obtain the data needed, the instrument was administered namely tests which was consisted of pre-test and post-test. Pre-test was applied to obtaining the primary data meanwhile the post-test was applied after the treatment accomplished. The data on the reading test was analyzed by using descriptive statistic and inferential statistics. The result of data analysis showed that the experimental group mean score on pre-test was 62.5 and posttest was 73.07, meanwhile the result of control group means score on pre-test was 57.92 and post-test 64.25. There was an improvement of the students in each group from pre-test to post test. And the result hypothesis or inferential analysis proved that t-test score was higher than the result t-table (3.843&gt;1.990) with degree of freedom (df) was 75 in significant level 95% or α = 0.05. It can be concluded that DR-TA Strategy has significant effect on critical reading skills of the English department students of FPBS IKIP Mataram. The effect was significant because DR-TA Strategy lead the students to have prediction before reading, create background knowledge, analyzing the fact to support the prediction, confirming the prediction and evaluating the text and context in order to have comprehensive comprehension. The results of this research hopefully could be an alternative strategy in teaching critical thinking in reading and could be reference for further researchers.
Trajectory Optimization Methods for Robotic Cells Considering Energy Efficiency and Collisions

In production robots are moved at maximum speed whenever possible in order to achieve the shortest overall cycle time. This can lead to individual waiting times, especially in interlinked production processes. These waiting times offer opportunities for optimization. Due to high energy prices and political efforts, energy efficiency has become the focus of trajectory optimization in recent years. Robot cells with a common intermediate circuit offer the possibility of energy exchange across individual axes or robots. By adapting the robot trajectories, the total power consumption of a robotic cell on the grid side can be significantly reduced. This paper focuses on trajectory optimization, whereby a detailed collision detection of individual robots is included within the analysis. It is shown that with collision detection energy optimization for cramped robot cells becomes possible and the losses in efficiency compared to the optimization without it are minute.
Event Structures for the Reversible Early Internal $$\pi $$-Calculus

The $$\pi $$ -calculus is a widely used process calculus, which models communications between processes and allows the passing of communication links. Various operational semantics of the $$\pi $$ -calculus have been proposed, which can be classified according to whether transitions are unlabelled (so-called reductions) or labelled. With labelled transitions, we can distinguish early and late semantics. The early version allows a process to receive names it already knows from the environment, while the late semantics and reduction semantics do not. All existing reversible versions of the $$\pi $$ -calculus use reduction or late semantics, despite the early semantics of the (forward-only) $$\pi $$ -calculus being more widely used than the late. We define $$\pi $$ IH, the first reversible early $$\pi $$ -calculus, and give it a denotational semantics in terms of reversible bundle event structures. The new calculus is a reversible form of the internal $$\pi $$ -calculus, which is a subset of the $$\pi $$ -calculus where every link sent by an output is private, yielding greater symmetry between inputs and outputs.
Potential Subscriber Detection Using Machine Learning

The paper potential subscriber detection helps in finding who has the potential to convert from free users to the paid users. The problem statement is about finding the potential users who can get converted from free users to paid users and also finding the paid user who has potential to do another subscription. As we all know that vikatan was a paperback subscription of the articles, now it has come out with a new idea of reaching the customers with the articles in digital form. So they got introduced with the app named ‘Appappo’. This app works same way like other apps at the beginning. It is used to read only the best articles and stories from tamil nadu. So, according to this app while installing in your mobile for the first time you will be given Rs 51. Also we have the articles of Rs 1, 2, 3, 5, 10 categories. Hence according to the amount /cost of the article it will be detected from the wallet. When the wallet is empty then you have to subscribe and fill the wallet with the amount to continue reading the articles. This application or the research using machine learning algorithms to predict the exact number of subscribers and giving them offers rather than giving it to everyone. We had a major drawback in the magazines where you distribute the magazines to all of them and also the offers. It just made company to spend so much and also a waste of time for them. So they decided to make it digital and release to the customers as an android app so every people in the corner will get this and benefit with it and also not a waste of time for them and also a easy task compared to before.
Methods of Making Courseware for College English Teaching in the Information Age

Today’s era has entered the information age, this is a new stage in the development of human society. Information technology is based on computer technology, electronic digital technology and other advanced technology. In the information society, people are more and more closely connected, and their own knowledge reserve has become the subject of interpersonal competition. Compared with the previous material and monetary resources, knowledge resources are becoming more and more important. The purpose of this study is to put forward some basic views on the reform of college English teaching methods in the information age and to explore the feasibility and problems to be solved in the application of three-screen courseware in English teaching. The main research methods of this paper are: literature research, investigation and comparative research. The research results show that the three-screen courseware is more suitable for classroom teaching and more acceptable to students than the traditional courseware. In college English teaching, we can make more use of the three-screen courseware technology, innovate classroom education means, better serve students and improve teaching quality.
Heterogeneous Network Security Monitoring and Association Algorithm for Big Data

Heterogeneous network layer technology leads to the imbalance of heterogeneous networks, which makes the security problems between networks affect each other, and leads to the security problems of network interconnection more serious. In this paper, the gateway discovery technology and security of this kind of interconnection will be studied in depth. Firstly, the interconnection technology of heterogeneous networks and its security are described. Then the method of heterogeneous network security monitoring is given, and the optimization in the data access architecture is established. The network monitoring system put into use is set to simulate faults according to the test nodes, and then the monitoring effects on different fault nodes and types are statistically calculated. The core algorithm and knowledge representation of the system are analyzed in detail, and the related methods are simulated and analyzed. The system can respond to some typical security events.
Underwater Image and Signal Processing

This paper proposes study of underwater image processing as well as signal processing.It is widely used in underwater applications like, underwater object detection, submarine communication, to observe the sea floor which is included in autonomous underwater vehicles (AUVs), unmanned underwater vehicles (UUVs), and in situ ocean sensor networks.This project is concerned with various techniques of underwater image and signal processing.We present an overview of various underwater image-processing approaches, such as underwater image de-scattering underwater image color restoration, and underwater image quality assessments along with signal processing which covers, acoustic signal transmission, reception, filtering and representation.In this paper, objective is to acquire a given audio signal to communicate through underwater to give the acquired signal in time and frequency representation.We, hence, try to provide with underwater image and signal processing which can be useful and low-cost solution.
Penerapan Model Blavo (Blended Learning Audio Video) Pada Perkuliahan Bahasa Indonesia Di PGSD FKIP Universitas Lambung Mangkurat

Students need to have various abilities to be able to face the era of the industrial revolution 4.0. The abilities and skills needed to be able to compete globally are constantly changing every decade. The FKIP Primary School Teacher Education Study Program of Lambung Mangkurat University has the same goal, namely to produce graduates who are educated, trained and skilled workers who meet the competencies required by the world of work in relevant education fields and have broad insights on the development of education. This study aims to explain the application of the BLAVO (Blended Learning Audio Video) model in Indonesian Language lectures at PGSD FKIP Universitas Lambung Mangkurat. This study uses a quantitative approach. The results showed that the lecture model that involved students in the learning process and was more present would be more interesting than the existing methods. BLAVO which combines Blogging and case-based learning is a combination of methods that involve students with current methods in which students will be more interested and passion for learning.
About the Fairness of Database Performance Comparisons

Whenever a new database technology appears, several comparisons also come up to attest that the new database technology is better than the traditional relational one. Even more, an outstanding performance is shown quite often by conducting performance comparisons. This paper attempts to illustrate that these performance comparisons should be taken with a pinch of salt. Revisiting published statements about comparisons between the Neo4j graph database and relational systems, we investigate several causes why relational systems show a worse performance. One possible reason is – among others – applying a default database configuration or configuring the system inadequately. Next, most tests are implemented in a straightforward manner, particularly not considering alternatives or applying useful features. In order to support our findings, we use a PostgreSQL database and implement some scenarios that are commonly used in comparisons. Thereby, we invalidate some stated results about the bad performance of relational systems in those scenarios. Concluding the discussion, we present some general considerations how fairness of comparisons can be improved.
INTEGRITY OF THE PEDAGOGICAL PROCESS IN SCHOOLS WITH INCLUSIVE FORM OF EDUCATION

The article analyses the approaches to the definition of “integrity”. There were considered such pedagogical aspects of integrity as the integrity of the goals and the contents of education, the integrity of system of teaching methods. It is shown that the idea of integrity is a backbone one for developing the educational programs or lessons. The article substantiates the need for appropriate teaching aids for the integrity of the pedagogical process, which would promote the consistency of its components – purpose, educational information, schoolchildren, teachers, methods, forms, teaching aids. The article examines the methodological regulators of building a modern strategy of a holistic approach to the study and design of educational reality.
THE HARMONY OF THE PHYSICAL VACUUM

This paper is a summary of ideas and methods related to protection of people from the negative impact of electronic technology. While conducting research, the author intended to clearly define the prevailing negative impact of torsion fields in comparison with electromagnetic radiation. Electromagnetic fields warm the tissues of a person using all sorts of gadgets, while torsion fields provide influence at the gene level. Much attention is paid to the technology of protection from torsion fields. For a more complete understanding of the problem of protecting the population from the negative influence of torsion fields, the authors considered the concept of the “fabric of the universe” developed by several authors, which enabled representing the processes occurring in Physical Vacuum in a more distinct way. The fact that virtual particles have their own subconscious nature, which differs from ours that was predicted by N. Tesla, has been confirmed.
Identity Theft Prediction Using Game Theory

Digital devices have become an integral part of every person’s life. The range of use of these devices is increasing daily. Over the decades, the number of users has increased from thousands to millions and is still increasing. Due to the multi-functional features of digital devices, their importance is now being recognized more than ever. Initially, they were used only for calling and texting; however, nowadays, they are also being used to store relevant data such as account numbers, card numbers, credentials, private pictures, passport copies, etc. The most common form of Identity Theft attack is through stealing passwords. Once the password is stolen, user privacy is lost, and the data is compromised. Thus, a system consisting of a database that comprises of leaked passwords collected from various social sites and common passwords as a part of a dictionary attack used by hackers has been created by us. When a user enters his/her password, it runs it through the database and checks for a match. This document emphasizes on how game theory can be utilized in predicting the possibility of a successful attack and discusses essential concepts such as the various components of game theory and Nash Equilibrium.
Statistical Modeling of Solar Energy

Renewable energy comprises solar, wind, tidal, biomass and geothermal energies. Use of renewable energy resources as a substitute for fossil fuels inevitably reduce environmental footprint. Therefore, integration of renewable energy to the power grid, smart grid planning and grid-storage preparations are some of the major concerns in all developing countries. However, unpredictability in renewable energy resources makes the situation challenging. In light of this, the present study aims to develop a solar energy forecasting model to estimate future energy supply for a smooth integration of solar energy to the current electric grids. A suite of eight probability models, namely exponential, gamma, normal, lognormal, logistic, log-logistic, Rayleigh and Weibull distributions are used. While the model parameters are estimated from the maximum likelihood estimation method, the performance of the candidate distributions is tested using three goodness of fit tests: Akaike information criterion, Chi-square criterion, and K-S minimum distance criterion. Based on the sample data obtained from the Charanka Solar Park, Gujarat, it is observed that the Weibull model provides the best representation to the observed solar radiations. The study concludes with the analysis of forecasted solar energy and its possible role in replacing thermal energy resources.
PHILOSOPHICAL UNDERSTANDING OF THE ARCHETIPOLOGICAL BLOCK OF MEMORY IN COMPARATIVE ANALYSIS OF K.G. JUNG AND G. POPOV APPROACHES

The current situation related to the necessity of elimination of the consequences of world pandemic and reorganization of the system of professional activity, as one leaves behind the “physical life” preferring it to the world of social networks, Internet platforms, gadgets and electronic artificial limbs, i.e. to the world of hyperreality and virtuality extending, updates and sharply raises questions about the future (what it will be like, how to prepare for it and what skills will be needed). The philosophical understanding of the structure of the archetypological memory block in a comparative analysis of general and diverse approaches of K. G. Jung and G. Popov was carried out. Their theories describe the concept "archetype" and its heuristics in the context of the future of human and reflects mental regularities in one's formation and self-realization in society. G. Popov’s theory about archetypes represents a construct formation of the human future activity line was researched.
A Novel Method to Solve the Separation Problem of LDA

Linear discriminant analysis (LDA) is one of the most classical linear projection techniques for feature extraction, widely used in kinds of fields. Classical LDA is contributed to finding an optimal projection subspace that can maximize the between-class scatter and minimize the average within-class scatter of each class. However, the class separation problem always exists and classical LDA can not guarantee that the within-class scatter of each class get its minimum. In this paper, we proposed the k-classifiers method, which can reduce every within-class scatter of classes respectively and alleviate the class separation problem. This method will be applied in LDA and Norm LDA and achieve significant improvement. Extensive experiments performed on MNIST data sets demonstrate the effectiveness of k-classifiers.
EMERGENCE OF NEW GENERA AND TYPES OF FORENSIC EXAMINATIONS AT THE TURN OF THE CENTURY

The article deals with the history of forensic examinations, their occurrence and development. The process of the origin of various genera and types of examinations from the end of the nineteenth century to the beginning of the twenty-fi rst century is traced. Using the example of environmental, art history, gemological and molecular genetic expertise, we examine the history of appeals to knowledgeable individuals for the purpose of administering justice, and also examine the sources that regulate forensic examinations of various genera and species both in Russia and abroad.Examples of appeals of investigators and judges to famous scientists to produce examinations of various genera and species are given.
Towards Stability in the Chapel Language

Language stability is an important upcoming feature of the Chapel programming language. Chapel users have both requested big changes to the language and also requested that the language become stable. This talk will discuss recent efforts to complete the big changes to the Chapel language so that the language can stabilize.
Content Classification Using Active Learning Approach

Text classification methodologies are utilized broadly to understand genuine difficulties. The failure and success of classification grouping frameworks is based on the datasets used to prepare them; without a decent dataset it is difficult to fabricate a quality framework. This work looks at the different approaches of active learning characterization for data labeling. First, we have defined different selection algorithms that can be used for labeling the data. Second, we compared the result of normal classification algorithm and active learning algorithm.
Ant Colony Optimization, Modifications, and Application

This chapter presents a nature-inspired ant colony optimization (ACO) technique, along with its modified variants. The improved versions of this optimization technique are slightly different and effective than that of its standard version. ACO has inspired from the foraging behavior of ant colony and its capability to seek the shortest path between their nest and food source. This optimization method is based on a natural phenomena known as pheromone trails, a substance laid down by ants especially when carrying food so that their fellow ants can sense and follow this path. The new ants entering into the ant system will follow the path with highest pheromone concentration. In this chapter, a brief overview of standard ACO is presented, followed by different variants of ACO since its development. The application of the ACO technique for real-life optimization problems is demonstrated by solving an optimal shunt capacitor allocation problem of 33-bus test distribution system for power loss minimization.
PROHIBITION, OBLIGATION OR RIGHT FOR A FORENSIC EXPERT TO INDEPENDENTLY COLLECT OBJECTS FOR RESEARCH

Legislatively regulated prohibition for an expert to collect independently objects for research is enshrined in several procedural codes of countries the members of the Eurasian Economic Union. However, in practice, there are situations when an expert discovers objects (micro-objects) at an object submitted for expert research. The question is whether the expert must or should be able to fi x and collect the detected objects, notify the person or body that appointed the examination, or the prohibition continues to apply in this case. The answer to the question lies in the plane of expert’s recognition as the subject of proof or denial of such a possibility. The discussion that has unfolded among scientists has not yet been completed; the legislator has also not made a fi nal decision, prompting researchers to fi nd the best way. The analysis of the main points of view on this issue led to the conclusion that it is necessary to establish the obligation of the expert to notify the person (body) that appointed the examination about the detection of objects, to ensure their fi xation and to collect them in cases where this action is a part of an expert examination.
Bacterial Foraging Optimization

The chapter presents a swarm-intelligence based optimization method known as bacterial foraging optimization method (BFO). The method is inspired from the foraging behaviour of bacteria. The algorithm of standard BFO is discussed with pseudocodes followed by Matlab source-code. In order to demonstrate the applicability of this method, one step-by-step example is provided. In this example, a benchmark Griewank function is solved by using BFO.