Reviewerly/exHarmony huggingface dataset:
A Unique Glottal Flow Parameters based Features for Anti-spoofing Countermeasures in Automatic Speaker Verification

The domain of Automatic Speaker Verification (ASV) is blooming with growing developments in feature engineering and artificial intelligence.Inspite of this, the system is liable to spoofing attacks in the form of synthetic or replayed speech.The difficulty in detecting synthetic speech is due to recent advancements in the Voice conversion and Text-to-speech systems which produce natural, indistinguishable speech.To prevent such attacks, there is a need to develop robust spoof detection systems.In order to achieve this goal, we are proposing estimation of Glottal Flow Parameters (GFP) from speech of genuine speech and synthetic spoof samples.The GFP are further parameterized using time, frequency and Liljencrants-Fant (LF) models.Along with GFP features, the Linear Prediction Cepstrum Co-efficient (LFCC) and statistical parameters are computed.The GFP features are investigated to prove their usefulness in detecting spoofed and genuine speech.The ASV spoof 2019 corpus is used to test the framework and evaluated against the baseline models.The proposed spoof detection framework produces an Equal Error Rate (EER) of 2.39% and tandem Detection Cost Function (t-DCF) of 0.0562 which is found to be better than the state-of-the art technique.
Language Errors in Editing a Manuscript in Indonesian Language

Editing is the process of correcting language expressions in a manuscript before it is published. Editing can change a word, phrase, clause, or sentence into the same sentence unit or another. Even editing can also change sentences into paragraphs or vice versa. The most important thing in editing is correcting language errors to become appropriate and standard language expressions. Meanwhile, before it became a published book, the manuscript went through a reasonably strict editing process, both in language and content. This study looks at the changes from a book manuscript to a manuscript ready to be published. Many changes have occurred to correct language errors caused by writing due to typos, misunderstandings, or false disclosures, causing non-standard or incomprehensible. This analysis uses the theory of Dulay (1982), which states that language errors can be categorized into errors due to omission, addition, misinformation, and misordering. However, other errors were also quite influential in writing, namely, typing errors (typo). The present study found that the most common type of error was the addition, followed by misinformation, typo, misordering and the least was omission. A typo error is a common error that may occur when typing in Indonesian because until now. There is no spelling check application on a computer written in Indonesian.
OCR FOR ENGLISH CHARACTERS BASED ON POLAR HISTOGRAM FEATURE EXTRACTION AND EUCLIDEAN DISTANCE

Optical character recognition is the process of converting characters from image format to text format. The process includes four main stages namely: pre-processing, feature extraction, character recognition, and post-processing. The success is mainly based on the feature extraction method and the character recognition algorithm. When optical character recognition systems are developed for mobile devices, two main constraints must be addressed. They are the system’s size and speed. In this research, both were considered. A small feature dataset was created using polar histogram of x and y projections of the character image. In addition, a simple character recognition algorithm based on Euclidean distance was adapted. An accuracy of over 99.9% was achieved in near microsecond scale recognizing execution time on the development system.
Does cryptocurrencies have a chance to become a full-value replacement of national currencies?

The purpose of this work is to consider whether digital currency performs the functions of money and whether it can replace government money.The author considered the main functions of money and carried out a comparative analysis of digital currencies in this context.It was concluded that cryptocurrency is not yet full-fledged money and private money by the definition of the Austrian school.
How Real is Virtual reality—An Immersion, Interaction and Embodiedness Study

In the past few years, virtual reality (“VR”) has been explored as a potential medium that provides immersive experiences. VR features are being evolved for active engagement. However, there is a lot of scope in researching how the VR experience varies across demographics. For example, how does an emergent user (education below tenth standard, hardly exposed to information and communication technologies, or “ICTs”) experience VR in comparison to a tech-savvy user (graduate, highly exposed to ICTs)? We performed mixed-method research with two experiments using mobile VR headsets. Experiment-1 was conducted to study the “immersion” effect by asking the participants to watch a virtual “roller coaster” ride video. Experiment-2 was conducted to gauge the effect of “embodiedness” and the “embodied interaction” with the medium. Here, the participants were asked to play the “Moon Bird” VR game, while moving their hands like a bird's wings. Qualitative and quantitative results were compared across the two user groups. Neither had experienced VR before. We found that emergent users got engaged better than tech-savvy users when there is only a perception of the virtual environment (Experiment-1). Hand movements acted as a cognitive load for emergent users (Experiment-2) in the beginning, but eventually, most expressed themselves as the game character. On the other hand, tech-savvy users possessed a strong distinction between the virtual and real environment but were found to be more engaged when they could interact with the virtual environment, rather than just perceive it. We discuss the findings and provide recommendations for future studies.
Analisis kesalahan berbahasa tataran sintaksis pada artikel Inovasi Pembelajaran Bahasa Indonesia Melalui Pendekatan Proses

This study aims to explain the form of language error in rhetorical journal entitled "Innovation of Indonesian Language Learning through Process Approach" in syntax level, as well as describe the cause of the error. This research is a descriptive qualitative research. Data collection using techniques in the form of observation of the writings of an article from the journal Rhetoric. Data in the study is divided into two scopes, namely literature research and field research Analysis techniques used include, collecting data in the form of errors in terms of syntax, identifying errors, explaining errors, and evaluating errors. The results of this study are descriptions of the form of language errors include: (1) the unity of ideas, (2) word frugality, (3) logic, and (4) word carefulness.
Development of Adobe Flash Media in Increasing Learning Interest

This research aims to develop learning media products based on Adobe Flash in Indonesian Language Courses in the Elementary School Teacher Education Study Program. This research was conducted through four main stages: define, design, develop, and disseminate. This study uses a questionnaire as a data collection instrument, adapting quantitative research methods with a quasi-experimental approach (quasi-experimental) at the implementation stage in this study. The data to be obtained in the study were collected through interviews, questionnaires, and product rating scales. This scale collected data at the product validity stage, small group trials, and primary field trials. The results of the development of learning media products using a 4D development model with seven main components. Based on the results of the feasibility validation obtained in the Expert test and the initial field test, the feasibility of the media and material the value obtained is "very high" or worth testing. Based on these results, Adobe Flash media was tested with the operational test stage, and it is known that the results were obtained at an attractive value of 3.52 in this category, "Very High" or perfect changes in student interest in learning.
Geological Survey of Queensland: New Economy Resources Initiative geophysics programmes and Cloncurry extension MT results released

The Department of Resources’ recent funding package, the New Economy Minerals Initiative (NEMI) aims to continue to drive exploration and understanding of the range of metals and minerals found in ...
MAPPING OF ALFAMART AND INDOMARET DISTRIBUTION IN THE MEDOKAN SEMAMPIR AND SEMOLOWARU SUB-DISTRICT AREA USING GOOGLE MYMAPS

&#x0D; &#x0D; &#x0D; &#x0D; Indonesia is a country that has a high population density. The increasing population causes an increase in the demand for household needs. As time goes by, human needs are increasing day by day. Starting from primary needs to secondary needs. The city of Surabaya is the second largest metropolitan city after Jakarta with a population of around 2,874,314 people in 2020. With such a large number, of course, it has various kinds of demands to fulfill primary needs, Alfamart and Indomaret as the two largest retail companies in Indonesia are trying to be in the midst of Public. However, the uneven distribution of Alfamart and Indomaret locations causes the public to be often confused about their existence. To meet the need for information dissemination in that location, the system will be made based on mobile web so that the system can be accessed via a mobile smartphone device that is equipped with a GPS (Global Positioning System) so that it can find out the coordinates of the location of Alfamart and Indomaret, namely in the form of latitude and longitude data. This will make it easier for people who want to know the location and know the distance to the intended location and data by utilizing services from Open Camera and Google Maps.&#x0D; &#x0D; &#x0D; &#x0D;
Software Security Evaluation for eVoting Systems

This paper follows on from Recommendation CM/Rec(2017)5 of the Council of Europe on eVoting in defining the basic principles and requirements of a software security evaluation according to Common Criteria that distinguishes the main differences in the two recommendations, namely verifiability and voter secrecy. It proposes a definition for assets, threats and objectives and discusses the differences between the current Recommendation CM/Rec(2017)5 and its predecessor, Rec(2004)11.
The Technologies of Remote Communication in The Investigation and Trial and Their Impact on the Requirements of Justice

Using the remote communication technology in investigation and trial procedures is based on linking the parties of a criminal case in one geographical scope, or in several areas in the same country, or in different regional places among different countries. Therefore, it is imperative to get acquainted with the general rules in remote investigation and trial that have been introduced by criminal legislation to break the traditional general rules of litigation, and to take into account the technological development data in the field of crime detection without prejudice to the rights of the accused or other parties to the criminal case. There is no doubt that the use of audio-visual communication technology will clearly contribute to reducing the financial burdens on the parties of the case, in addition to the legality of these procedures and their impact on the criminal justice system. Consequently, most criminal legislation seeks to include new means and methods for conducting investigations and criminal trial procedures and to create effective litigation procedures in pursuit of achieving justice in its optimal form, especially as technological and technical means are constantly developing, which would necessitate to employ this tremendous development in technological data and modern technology to develop the justice sector.
Who are your Students in Writing?

This study investigated the correlation among personality types, learning styles and writing ability to the eleventh grade students at Senior High School Number 1 Sekayu. The aims of this study were to measure the correlation between personality types and writing ability, the correlation between learning styles and writing ability, the correlation between personality types and learning styles, and the correlation among personality types, learning styles, and writing ability. In this study, the writer used purposive technique sampling. The data were collected by using questionnaire and test. The data were analyzed by using r-product moment and multiple regressions. The findings of this study are: 1. There was not any significant correlation between personality types and writing ability of the eleventh grade students at Senior High at Senior High School 1 Sekayu. 2. There was not any significant correlation between learning styles and writing ability of the eleventh grade students at Senior High School 1 Sekayu. 3. There was significant correlation between learning styles and writing ability of the eleventh grade students at at Senior High School 1 Sekayu. 4. There were not any significant correlations among personality types, learning styles, and writing ability of the eleventh grade students at Senior High School Number 1 Sekayu. It could be concluded that personality types and learning styles were not correlated significantly with students’ writing ability.
Improved Flower Pollination Algorithm for the Detection of Lung Cancer Detection in Humans Text Based Mining

Lung cancer is a worldwide threat to humanity since its cells grow uncontrollably inside lungs leading to increased mortality rate.The lung cancer often poses serious breathing issues and it is been contributed majorly by smoking and inhaling smoke.Even with high medical advancements, the effective treatment and curing of lung cancer are not effective till date.Proper precautions and earlier stage detection may reduce the cancer to spread the entire organ.It is hence necessary to check with least minimal data i.e. text data can provide even a greater effectiveness in diagnosing the lung condition.Meta-heuristic algorithm influences greatly with its computational capability and offers stronger prediction of lung cancer at earlier stage with accurate analysis.In this paper, we develop a classification system using flower pollination algorithm (FPA) that tends to classify the medical text documents.The FPA algorithm classifies the medical text documents to diagnose the lung cancer in humans.The FPA is applied as an intelligent algorithm that imitates the behavior of pollination in flowering plants to identify the essential classes of lung cancer.It finds the relationship between the pollens to identify the essential classes based on flower position.The simulation is conducted to validate the effectiveness of the model with other meta-heuristic optimization methods that include bee colony optimization, and ant colony optimization algorithm.The results of simulation show that the proposed method undergoes effective classes of lung cancer than other existing methods that includes accuracy, sensitivity, specificity, f-measure and mean average percentage error.
Taylor Series and Getting the General Solutions for the Equations of Motion Using Poisson Bracket Relations

In mathematics and classical mechanics, the Poisson bracket is an important binary operation in Hamiltonian mechanics, playing a central role in Hamilton's equations of motion, which govern the time evolution of a Hamiltonian dynamical system.The Poisson bracket also distinguishes a certain class of coordinate transformations, called canonical transformations, which map canonical coordinate systems into canonical coordinate systems.In this work we study some examples from the classical mechanics of particles and apply mathematical method for building the equation of motion.In the present paper Poisson Brackets and their properties are presented, by using Poisson brackets and their properties we calculate some brackets.We use the Poisson bracket with Hamiltonians to express the time dependence of a function u (t), the main idea Taylor series is taken as the required solution for equation of motion using the properties of the Poisson Brackets, We have examined examples from the classical mechanics to illustrate the idea such as motion with a constant acceleration, simple harmonic oscillator, freely falling particle.The solutions are compatible with what is known in classical mechanics.The work is fundamental and sheds new light onto classical mechanics.Poisson brackets are a powerful and sophisticated tool in the Hamiltonian formalism of Classical Mechanics.They also happen to provide a direct link between classical and quantum mechanics.
INSTITUSI DAN PERTUMBUHAN EKONOMI

Institutions are considered as a fundamental cause of long-run growth. This study empirically investigates the relationship between institutions and economic growth accross the world. The sample includes 110 countries during the years 2014 to 2019. The study specifically focuses on five measures of institutions, namely Civil Liberties, Political Rights, Corruption of Control, Political Stability, and Regulatory Quality. Using a panel data fixed effect with country and year effects, the result shows that only political stability is significant and positively associated with a higher economic growth. This implies, if a country become more politically stable, its economic growth tends to be higher.
DeepAuto: A First Step Towards Formal Verification of Deep Learning Systems (S)

Deep Learning (DL) offers a data-driven programming paradigm in which Deep Neural Networks (DNNs) can be constructed through a set of training data.It has been widely adopted in many real-world applications.However, many studies have shown that DL systems suffer from adversarial attacks, especially when they are applied to security-and safetycritical domains.Given that formal verification has proved a great success in many areas such as software engineering, using it to achieve a high-level security assurance in DL systems is considered promising.In this paper, we design and implement DeepAuto which makes the significant bridge between automata and DNNs.With the aid of DeepAuto, we demonstrate how DNNs can be modeled as automata and be verified formally in the widely used model checker UPPAAL.The potential usefulness of DeepAuto shows the connection between DNNs and automata and provides a solution for the construction of more trustworthy DL systems.
The Prospect and Introspection of Technology Educational Innovation

The development and popularization of online classroom is an inevitable trend given the tremendous progress of science and technology and the advent of 5G information era. In this special period, if possible, most of the offline classes are converted to online classes, using tablets or computers for online classes. Online classes are divided into video class and live class, which provides convenience and security. However, online classroom is limited by factors, such as low efficiency and the fact thar teachers can’t supervise students’ actual situation. Thus, the gradual popularization of virtual reality (VR) classroom has slowly improved the immersive classroom experience of students and teachers. This paper attempts to analyze the problems existing in students’ online classroom learning in the special period, and whether the interaction between teachers and students can improve the classroom efficiency. VR classroom provides more benefits, and at the same time, this new teaching mode comes with improved basic equipment required by VR classroom. Traditionally, library is the obvious choice for students to look for additional information and references, which is however not a convenient option at present. The emergence of mobile online library has undoubtedly made learning easier. The research may help to study the influence of the development of science and technology on the real education mode.
Performance Analysis of Machine Learning Algorithms in SMP: A Case Study of Twitter

The number of people using Social Media Platform (SMP) is increasing day by day. A few users may hide their identity with malicious intentions. Previous research has detected fake accounts created by bots using machine learning concepts. These ML concepts used engineered features such as the ‘following-to-followers ratio’ which is generally available in their accounts. In previous studies these similarly clustered features were applied to the machine learning models for detection of fake and real accounts. In the recent research the behavioural features like the sentient of the tweet posted on twitter is considered along with the parameters. Here, the ML models are also trained to use engineered features depending on behavioural data.
Relation Extraction Model Based on Keywords Attention (S)

Recently, most relational extraction models usually mitigate the adverse effects of noise in sentences for the prediction results, utilizing different tools of natural language processing that to capture high-level features in sentences combined.However, these attention mechanisms do not manage to exploit as much as possible the semantic information of certain keywords that have relational expressive information in the sentence.Therefore, this paper proposes a model based on the keyword's attention mechanism, which is a novel attention mechanism based on the keywords of relational expression related.In particular, the proposed attention mechanism utilizes a linear-chain conditional random field that combines entity-pair features, similarity features between entity-pair features, and its hidden vectors to compute each word's marginal distribution defined as the attention weight.Experimental results show that the method can focus on keywords with relational expression semantics in sentences without using sophisticated tools and achieves performance improvements on the SemEval-2010 Task 8 dataset.
Evaluation of Software Tell Me More for Teaching English : Technology Acceptance Model Approach

Knowing the students’ technology acceptance about the use of learning media is important because it can measure how far the media’s utilisation is.The research purpose is to recognize the significant influence between the variable of Technology Acceptance Model, such as perceived usefulness, perceived ease of use, attitude towards use and behaviour intention in accepting software Tell Me More for teaching English. The participants of this research consisted of 51 students of English Education Study Program from Universitas Muhammadiyah Metro. Questionnaire was used to find out the students’ acceptance towards the use of software Tell Me More. Regression analysis is applied to analyze the data. Based on the data analysis through the questionnaire, it is revealed that there was significant influence between the variable of technology acceptance model towards the students’ acceptance of Tell Me More software.