Reviewerly/exHarmony huggingface dataset:
Research on the ideology monitoring system of cyberspace legal security based on Neural Network

The legalization of Cyberspace legal Security ideology governance is an important part of the governance of network law ideology with Chinese characteristics in the new era. It is a process in which the party and the state consciously formulate and apply a series of laws and regulations in line with the fundamental interests of the people, and at the same time, properly govern the network value system based on the latest network technology achievements. Under the background of the new era, the legalization of network law ideology governance fully demonstrates the theoretical meaning of the overall idea of ruling the country by law, highlights the practical meaning of preventing and resisting the fierce attack of hostile ideology, and reveals the value meaning of constructing the legal governance system of network law ideology with Chinese characteristics.
Image Recognition and Segregation using Image Processing Techniques

Document image structure analysis is to achieve computerized document management and storage and retrieval. The main objective is to identify different pages of books, journals and reports and segregate it from other document images. This process helps to create a database of digital documents. It provides an immediate solution to enable the archived valuable materials so that it can be searchable and usable by users in order to achieve its objective. It also provides way of representing and managing the paper document in electronic form. For, the purpose of viewing, indexing and extracting the intended portions. The proposed technique work on every aspect of image including its size, shape and orientation of image.
Proposal and Prototype of Video Playback Method Based on Walking Speed

This paper proposes a new video viewing style by designing a video control application based on a user’s ‘actual walking.’ Nowadays video players on smartphones are generally controlled by users’ gesture operations. However, this is just the operation to play videos and users cannot interact with the video control reflecting other information. Through this research, we design a video player application controlled by speed that a user actually walks holding a smartphone, instead of the gesture operations on the screen.
metaCAT: A Metadata-based Task-oriented Chatbot Annotation Tool.

Creating high-quality annotated dialogue corpora is challenging. It is essential to develop practical annotation tools to support humans in this time-consuming and error-prone task. We present metaCAT, which is an open-source web-based annotation tool designed specifically for developing task-oriented dialogue data. To the best of our knowledge, metaCAT is the first annotation tool that provides comprehensive metadata annotation coverage to the domain, intent, and span information. The data annotation quality is enhanced by a real-time annotation constraint-checking mechanism. An Automatic Speech Recognition (ASR) function is implemented to allow users to paraphrase and create more diversified annotated utterances. metaCAT is publicly available for the community.
ONLINE OBSERVATION OF LESSONS IN INFORMATICS AND INFORMATION TECHNOLOGIES - A CHALLENGE IN ACTION

The relevance of this research stems from the experience gained in the implementation of observation as part of the practical training of the students-future IT teachers and from the challenge of conducting it fully in electronic form during the current academic year (2020), given the declared state of emergency due to which students do not physically attend schools and universities. Observation as a form of training is part of the practical training of students - future teachers in Bulgaria. In its essence, it is the observation and analysis of lessons in the secondary school, carried out under the direct guidance of a mentor from the higher school. Students have a prior preparation to participate in this form of study, which they have gained from theoretical training, from generally didactic and privately didactic subjects. This preparation is sufficient in the context of traditional student attendance training. Students also have the competencies to create e-learning objects designed for blended learning (traditional plus supporting e-learning). In the context of an emergency, there are challenges for all participants in the observation - students, mentor and teachers.Students must: participate in online observation in virtual classrooms; analyze forms of organization suitable for asynchronous and synchronous e-learning; to compare training methods appropriate to traditional and e-learning; to adopt the synchronous e-learning platforms used by the basic school and the university; to discuss and analyze the online observed lesson with the teacher and mentor; to assess the adequacy of the competencies they have acquired to provide online training at the phase of teacher-training practice and pre-graduation pedagogical practice. The mentor should: arrange online observation; to consider the forthcoming updating of the curricula concerning privately didactic disciplines in informatics and information technologies in order for the students to acquire competencies for online teaching; to improve their own skills in working with e-learning platforms. Teachers must: adapt didactic materials in an accessible format for asynchronous and synchronous e-learning; to provide adequate and reliable feedback on the degree of absorption of the educational content by the pupils; to demonstrate to students adequate professional competencies.The challenges for all participants in online observation are being overcomed in action and are subjective prerequisites for successful learning process and improvement of professional competence.
CROSS-SITE SCRIPTING ATTACKS AND THE SECURITY OF WEB APPLICATIONS

This report focuses on vulnerabilities on web-applications and web-sites from Cross-Site Scripting attacks (XSS). The different types of XSS attacks are examined: DOM-based, active and passive attacks. The spread of XSS attacks across platforms - government and financial institutions, transportation companies, hospitality and entertainment has been analyzed. Research and analysis of the security of corporate websites and their resistance to XSS attacks have been carried out. The basic guidelines for preventing valuable data theft and unauthorized access to websites and applications from XSS attacks are reviewed and systematized.
Penerapan Media Pembelajaran Pop Up Book Di Masa Belajar Dari Rumah

During the pandemic, students are required to learn from home in an effort to prevent the spread of the covid-19 virus. As educators, teachers must ensure teaching and learning activities continue, even though students are at home. Teachers are required to design learning innovations by utilizing online media so that learning is carried out online. Online learning is carried out via a computer or laptop that is connected to an internet network connection or by using an Android cellphone. However, many schools in some areas are unable to conduct online learning due to several factors. So the school carries out offline learning or learning outside the network so that it continues to carry out learning activities. Learning from home is certainly not as effective as learning in the classroom, therefore, as a teacher, you must create meaningful learning by using learning media as attractive as possible so that learning objectives can be achieved. As an effort to improve social studies learning outcomes for fifth grade elementary school students, namely the use of pop up book learning media. In this research, the method used is a qualitative method with a descriptive approach. The research was conducted at SD Negeri 010231 Aras. With a sample of 27 students in class V. The results of this study, an increase in student social studies learning outcomes by using pop up book learning media.
THE EFFECT OF TECHNOLOGICAL CHANGE ON EMPLOYEE PERFORMANCE

The paper sought to investigate the effect of technological change on employee performance: a study of Union Bank of Nigeria Plc. Oko Branch. The paper tracks technological changes and the consequent performance changes along technological lines. The objectives of the study were identifying the degree of acceptance of information and communication technology in the banking sector, the contribution of technological change to the growth of the banking sector and to investigate if technological change is enhancing performance of employees in the banking sector. The research design was a descriptive survey. The population of the study was thirty six. The major instrument for data collection was the questionnaire. The method of data analysis was by the Chi Squared statistical tool. The findings were that; Technological change is accepted by management in banks, it has contributed to the social infrastructural development in the organisation under study and it has led to improvement of information in the bank which has improved their efficiency.
Comparative Analysis between Rabin Karp Algorithm, Winnowing, and Turnitin Applications for Detecting Plagiarized Words

Plagiarism was considered to violate the law because it copied of other people's works. To prevent plagiarism in terms of scientific writing, every word or sentence of scientific texts had to be detected through word-matching algorithm in the written text. The objective of this study was to compare the accuracy of values between the Rabin Karp Algorithm and the Winnowing Algorithm. The accuracy of values of these algorithms was compared with that of the values of Turnitin application. The data analysis used in this study was Hypothesis T-test. The result of this study was that the value of Rabin Karp Algorithm was higher than that of the Winnowing Algorithm and the Turnitin Application. Keywords: Plagiarisme, Turnitin, Rabin Karp Algorithm, Winnowing Algorithm
Multi-class Unbalanced Data Classification for Sleep Staging

Unbalanced data classification is a research focus for many applications, including financial fraud detection, network intrusion detection and cancer classification.However, unbalanced data classification is rarely investigated in the field of EEG-based sleep staging.Herein, considering the idea that old methods can be exploited in new applications, we propose a practical framework aiming to classify sleep stages with unbalanced data.In this framework, the data are balanced by using a SMOTE algorithm, in which the mean sample number is used for data expansion and the nearest neighbour number is set according to the G-mean values.Subsequently, the features are extracted and selected based on the balanced dataset.The effectiveness of the proposed framework is validated by testing eight sets of Sleep-EDF EEG data in the MIT-BIH physiological information database.From the results, the proposed framework can be used to not only improve the F-score value of the minority class but also to improve the G-mean value and the AUC value of the whole data set, which might benefit sleep studies and disorder diagnoses.
PROSEDUR KEAGENAN KAPAL OLEH PT. ARPENI PRATAMA OCEAN LINE CAB. PANJANG

Shipping Company PT.ARPENI PRATAMA OCEAN LINE Panjang branch is one of the companies engaged in shipping in Bandar Lampung. Shipping Company PT. ARPENI PRATAMA OCEAN LINE Panjang branch to help the process of running the activities of ships one of which is for travel agents, starting from the ship will enter the Panjang port area until the ship will go to the next port after completing loading and unloading activities at Panjang port. In becoming an agent for ships, Shipping Company PT. ARPENI PRATAMA OCEAN LINE Panjang branch uses the inaportnet system also manually depending on the ship being served. in its activities the manual system is an agent that receives all requests directly to the syahbandar. And with the inaportnet system, it will be easier for shipping companies to become agents because agents must always in the syahbandar for carry out ship clearance systems. However, the entire system can be accessed through each office. In becoming an agent for the shipping company PT. ARPENI PRATAMA OCEAN LINE Panjang branch must also examine ship documents or ship crew documents, whether they must be extended or must be changed. In addition to shipping documents PT. ARPENI PRATAMA OCEAN LINE Panjang branch is also responsible for all ship's needs from consumption to safety.Key Words :Shipping Company, Agent, Inaportnet System,Manual System.
How to grow your blog – top ten tips

Are you a business blogger who’s hoping to grow your blog’s readership? If you’re putting time and money into blogging for your business, you ...
Sistem Pendukung Keputusan (Spk) Penentuan Penerima Bahan Pangan Rastra (Beras Sejahtera) Menggunakan Metode Ahp (Analytical Hierarchy Process)

Technological developments are increasingly growing very rapidly, so that almost all activities or to solve problems are carried out using computer technology. This is also the case in the Cipameungpeuk Village Office, which at this time the program for determining the recipient of literary materials is still not optimal, so that assistance is not well targeted. To overcome these problems a decision support system is needed by using the AHP (Analytical Hierarchy Process) method. This method was chosen because it is able to select the best alternative from a number of alternatives based on specified criteria. The results of this research will produce a form of decision support system modeling in determining the recipient of literary food ingredients with the highest weight value from the calculation results of the method used.
Ethiopic Natural Scene Text Recognition Using Deep Learning Approaches

The success of deep learning approaches for scene text recognition in English, Chinese and Arabic language inspired us to pose a benchmark scene text recognition for Ethiopic script. To transcribe the word images to the cross bonding text, we use a segmentation free end-to-end trainable Convolutional and Recurrent Neural Network (CRNN) hybrid architecture. In the network, robust representation features from cropped word images are extracted at convolutional layer and the extracted representations features are transcribed to a sequence of labels by the recurrent layer and transcription layer. The transcription is not bounded by lexicon or word length. Due to it is effective uses to transcribe sequence-to-sequence tasks, CTC loss is applied to train the network. In order to train the proposed model, we prepare synthetic word images from Unicode fonts of Ethiopic scripts, besides the model performance is evaluated on real scene text dataset collected from different sources. The experiment result of the proposed model, shows a promising result.
Sequence-to-Sequence Networks Learn the Meaning of Reflexive Anaphora

Reflexive anaphora present a challenge for semantic interpretation: their meaning varies depending on context in a way that appears to require abstract variables. Past work has raised doubts about the ability of recurrent networks to meet this challenge. In this paper, we explore this question in the context of a fragment of English that incorporates the relevant sort of contextual variability. We consider sequence-to-sequence architectures with recurrent units and show that such networks are capable of learning semantic interpretations for reflexive anaphora which generalize to novel antecedents. We explore the effect of attention mechanisms and different recurrent unit types on the type of training data that is needed for success as measured in two ways: how much lexical support is needed to induce an abstract reflexive meaning (i.e., how many distinct reflexive antecedents must occur during training) and what contexts must a noun phrase occur in to support generalization of reflexive interpretation to this noun phrase?
Deep Camera-Aware Metric Learning for Person Reidentification

Person reidentification (re-id) suffers from a challenging issue due to the significant inconsistency of the camera network, including position, view, and brands. In this paper, we propose a deep camera-aware metric learning (DCAML) model, where images on the identity-level spaces are further projected into different camera-level subspaces, which can explore the inherent relationship between identity and camera. Furthermore, we exploit dynamic training strategy to jointly multiple metrics for identity-camera relationship learning and thus consumedly elevating the retrieval accuracy. Extensive experiments on the three public datasets demonstrated that our method performs competitive results compared to the state-of-the-art person re-id methods.
Las Las Tecnologías de la Información, la Educación Superior y el enfrentamiento a la Covid 19

In today's society, the role played by information technologies is recognized as the central nucleus of a multidimensional transformation experienced by the economy and society, hence the importance of studying and mastering the influences that such transformation imposes on the human being. As a social entity, since it tends to modify not only its habits and behavior patterns, but even its way of thinking, working and educating itself. The objective outlined in this research was to highlight the importance of the use of information and communication technologies play in the process of teaching and learning a foreign language in Higher Education and in facing the Covid 19 pandemic at the moment current, in which the effects that the new SARS-CoV-2 coronavirus has produced in all countries are extremely serious from the clinical, economic and social points of view. For this, different virtual applications were used, such as: “Technologies of the Covid- 19 InfoCU and virtual researcher, in addition to the phones, laptops and computers of the students and teachers, which made communication between the members of the group possible and updated knowledge and with immediacy of everything related to the pandemic for their confrontation.
Highly accurate and efficient cluster validation index engine using global separation and local dispersion architecture for adaptive image clustering systems

Abstract This paper presents a novel cluster validity index (CVI) engine based on global separation and local dispersion (GSLD) used to improve the accuracy and calculation efficiency of adaptive image clustering systems. The proposed GSLD engine can efficiently improve upon traditional GSLD calculation speed by making full leverage of temporary computation results obtained during the image clustering process itself. The CVI large-scale integrated (LSI) engine, designed with 55 nm CMOS technology, successfully achieves a 200 MHz GSLD calculation rate within 268 clocks using 8-bit data precision. In addition, by comparing various conventional CVI methods, the proposed CVI engine’s superiority is demonstrated by the deployment of real-life images and complex artificial datasets with different sizes, densities, and even overlaps. The experimental result reveals that the GSLD architecture’s computational complexity is reduced by 88.9% compared with the conventional variance ratio criterion (VRC) CVI and general GSLD calculation.
SISTEM PENDATAAN PASIEN PADA BIDAN PURBA BERBASIS JAVA

Purba Midwives is one of the agencies engaged in the health sector that uses information systems to support activities and patient health services at the Ancient Midwife. The problem that occurs in the Ancient Midwife is that the existing information system is not computerized or is still using manual methods in processing patient data, resulting in accumulation of patient data, inaccurate reporting processes and ineffective and inefficient processing of patient data. Researchers aim to research and assist in solving problems that exist in the ancient midwife, namely, making a patient data collection information system. Making a system at the ancient midwife, researchers used a process model or waterfall method. The research method used by researchers is a qualitative research method by collecting and analyzing data on the ancient midwife. While the system is built using the Java programming language and uses MySQL as a database. In the process of making a patient data processing system, it is hoped that it can assist officers in processing patient data, assist officers in presenting patient data information and making health service reports to be effective and efficient.
Educational System Management Improvement in a Secondary Education Organization

The purpose of the article is the development and implementation of a model for managing educational system in a secondary education organization. To implement the model within the school, experimental work was carried out. It was carried out during two years from 2017 to 2018 and included several stages. The article reveals the essence of education and management of educational system for personality development of future school graduates. The authors analyze the activities of the school in the city of Dzerzhinsk in order to identify ways to improve educational system and its management. At the end of experimental work, it was found out that introduction of a management model of educational system into school's activities made it possible to increase the level of familiarization of students to various areas of educational activities. The trainees took part in three municipal target programs the content of which was represented by various educational activities that favorably affect students' personality development. Consequently, innovations introduced into the management system in the educational system have a positive effect on students, which proves the effectiveness of the model developed by the authors.
Древнейшие наскальные изображения в трудах академика А. П. Окладникова: методический аспект семантического анализа

Academician A. P. Okladnikov made an important contribution to the study of the Siberian and Central Asian rock art in the middle of the XX century. In the beginning of the 1960s the scientist became a founder of archaeological center in Novosibirsk. The study of the rock art has become a priority area in this center. Ambitious and complex researches on the ancient rock art made by A. P. Okladnikov reveal themselves in full measure through the historical analysis. In considering the most ancient rock paintings, the scientist includes the sematic analysis of the images and compositions as a mandatory part. Moreover, on his opinion, the ideological foundations could be a supporting factor in determining their cultural and chronological definition. It is clear that the analysis of the possible ideological conceptions, concluded in the research subject, provides an insight into the unknown ancient world. In the writings of A. P. Okladnikov this section has a clear structure, which is consequence of the extensive knowledge in the related scientific fields. And most important, the scientist made a methodological framework for the semantic analysis. Semantics and approach to the understanding is the complex and multifaceted issue. It is isolated but still very actual topic.