Reviewerly/exHarmony huggingface dataset:
Practical platform construction of computer professionals students training for innovation and Entrepreneurship

The education of innovation and entrepreneurship is an important way for colleges and universities to improve students' quality and ability, adapt to social development trend, and promote the development of economic and technological. Henan engineering college, as a newly emerging undergraduate college, has established a talent cultivation mechanism oriented to the improvement of innovation and entrepreneurship ability in order to improve the training quality of students majoring in electronic science and technology, further deepen the reform of talent cultivation program, and provide corresponding policy support and system guarantee. Corresponding to the needs of students at different levels, a three-level innovation and entrepreneurship practice platform was established. The first-level and second-level practice platforms are oriented to cultivating college students with strong application technology and practice ability. The third-level practice platform aims to further improve the quality and ability of innovation and entrepreneurship of a few elite university students. Through the reform of personnel training mode and the construction and improvement of innovation and entrepreneurship practice platform, the quality of the training of computer science and technology professionals in our university has been significantly improved.
Nachhaltige Standardisierung von archivalischen Taxonomien und Thesauri durch SKOS (Simple Knowledge Organisation System)

The presentation showcases how SKOS (Simple Knowledge Organisation System) Linked-Data taxonomies can be generated online and visualised by means of free and open-source software.
Automated Interceptor Guidance Based on Multiple Object Tracking

In this contribution automated interception of multiple targets based on object tracking is considered. An unknown amount of maneuvering targets is tracked using the multiple model Gaussian mixture probability hypothesis density filter. The approach utilizes converted measurements so that applicability to nonlinear measurement models is achieved. The tracks are initialized automatically based on the two point differencing method. A track and target management scheme is proposed to detect new targets, and to calculate engagement related data required for the guidance. The proposed method is tested on a 100 km <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> planar surveillance region, where radar-like measurements from unknown targets are simulated. The results show that the proposed approach is capable to manage interception of multiple targets in parallel.
A Comprehensive Survey on Content Analysis and Its Challenges

In recent years the explosive development and growth of video technology and multimedia have created a new challenge in the field of computer vision. The tremendous increase in multimedia exchange like video, audio, image, etc., through the internet and other social media has led the way to content analysis. Content analysis is a technique to interpret textual data, multimedia data, and communication artifacts. In this paper we have provided an overview of content analysis and the more profound interpretation of video content analysis in a different area is shown. Specifically, in this paper, we have focused more on affective content analysis, its methodology, trends, and challenges.
Outcome improvement of vocational training: focusing on the changeover from satisfaction evaluation to trainee evaluation

This study aims to introduce a vocational trainee evaluation system that can supplement the satisfaction survey. Accordingly, the current operation factors and problems of trainee evaluation were diagnosed based on interviews and a survey. Consequently, results showed that the quality improvement of vocational competency development training was perceived as a goal of trainee evaluation. However, it is necessary to find an improved method based on criticism and perform more substantial trainee evaluations. As shown in the case of South Korea, countries can consider the following if they want to improve quality vocational training through strengthening evaluation, like trainee evaluation.
Keystroke Dynamics for User Verification

With the evolution of internet, the dependency of humans on them has increased. This has led to an increase in attacks, forgery, impersonation and so on, which require that a user and his privacy be maintained. Thus the need to protect a user has increased intensifying protection, authentication and verification methods of a user. There are many methods of authenticating a user, which include traditional methods of authentication such as passwords, personal identification numbers and so on, However, these methods have their drawbacks and hence biometrics have replaced these methods in some cases and in some cases biometrics has turned out be an additional layer of security, therefore providing better security. In this paper we propose one of the behavioral methods of biometric authentication called keystroke dynamics which uses a user’s typing rhythm to verify a user. One of the most common examples of this method is the verification of user using CAPTCHA, where the user is asked to type the letters to be verified as a genuine user and thus the user’s typing rhythm is captured based on which a match is generated and the user is verified. This method is most commonly used in applications such as online banking, email verifications and other such areas. This method acts as an additional layer of security to an existing system and helps protect the sensitive information of the user.
Towards Task-Oriented Dialogue in Mixed Domains

This work investigates the task-oriented dialogue problem in mixed-domain settings. We study the effect of alternating between different domains in sequences of dialogue turns using two related state-of-the-art dialogue systems. We first show that a specialized state tracking component in multiple domains plays an important role and gives better results than an end-to-end task-oriented dialogue system. We then propose a hybrid system which is able to improve the belief tracking accuracy of about 28% of average absolute point on a standard multi-domain dialogue dataset. These experimental results give some useful insights for improving our commercial chatbot platform FPT.AI, which is currently deployed for many practical chatbot applications.
Sistem Komputerisasi Pengolahan data Penjualan dan Stok Pada Distributor alat alat Listrik

In line with the development of science and technology today, a job that is done requires fast-paced data and information. By getting data and information quickly, the company has the ability to develop faster. Inventory is a very important part for a company. Inventory of goods is one of the tasks of logistics management in a company, namely support in the procurement of goods for the company. In order for this support to be utilized, it is necessary to plan and carry out in an integrated manner, which is interrelated and supports between related elements.&#x0D; CV Sinar Karya Ungaran is a private company which is engaged in the distributor of Electric tools. CV Sinar Karya is located on the road Dabo II / D30 RT6 Nitibuana, Ungaran Regency Semarang Tel. (024) 3584074 - 3584075. This company has a wide enough working area covering Central Java and DIY. Because the working area is quite extensive and the number of processes in and out of goods, the company must be more careful in calculating inventory. In the process of recording and counting inventory at this time the company is still using Microsoft Excel so there are still many obstacles.&#x0D; In the process of recording and counting inventory at this time the company still uses Microsoft Excel. One of the difficulties experienced is the frequent occurrence of errors in making inventory reports. Besides making reports takes longer because there is no computerized database system.&#x0D; With the development of technology, especially in the field of computers, the authors try to create a computer-based inventory program using Visual Basic 6.0. This is expected to help companies in making goods inventory more quickly and accurately.
DEVELOPMENT OF SOCIAL AND VALUE ORIENTATIONS OF HIGHER SCHOOL STUDENTS

Appears in: EDULEARN20 Proceedings Publication year: 2020Pages: 5271-5274ISBN: 978-84-09-17979-4ISSN: 2340-1117doi: 10.21125/edulearn.2020.1378Conference name: 12th International Conference on Education and New Learning TechnologiesDates: 6-7 July, 2020Location: Online Conference
On Probabilistic Multifactor Potential Outcome Models

The sufficient cause framework describes how sets of sufficient causes are responsible for causing some event or outcome. It is known that it is closely connected with Boolean functions. In this pa ...
Pragmatic Software Architecture Documentation

The talk provides an overview about pragmatic software architecture documentation with the help of the arc42 template and approaches such as Documentation as Code.
LANGUAGE NEEDS ANALYSIS OF STUDENTS AT PHYSICS EDUCATION DEPARTMENT FACULTY OF TEACHER TRAINING AND EDUCATION, MATARAM UNIVERSITY

The purposes of this study are to: (1) describe the students level of English at PhysicsEducation Department, the University Mataram; (2) describe the needs of English perceived by the students at Physics Education Department; and (3) describe the needs of English perceived by English lecturers at Physics Education Department. Itemployed a mixed method by combining both quantitative and qualitative research.The subject of this resarch was 55 students at Physics Department and 3 English lecturers. The data were collected by using a triangulation technique such as test(placement test), questionaire, and interview. The result of the test showed that (1)most of the students level of English are in the elementary level; (2) students and English teachers perceived the language needs differently. These situations caused conflicts in designing language program between the results of Present SituationAnalysis (PSA), and Target Situation Analysis (TSA).
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Pengaruh Densitas Isi terhadap Ketelitian Dimensi pada Produk Mesin 3D Printing

Additive manufacturing is a very important technology in industrial manufacturing 4.0 era. It is because this technology can change an object from a virtual form into a physical model quickly and easily. One of additive manufacturing type is the FDM rapid prototyping machine. A machine has modified from a single nozzle to a dual nozzle so the printing process can be faster and can be used for different color filaments. This study compared 3D models made in the CAD software and the result of test specimens that have been printed using MakerGear M2 3D machine by measuring using a measurement tool profile projector. The host software of the machine was set up at 20%, 40%, 60%, 80% and 100% infill density. The results of analysis on test specimens show the best accuracy at 20% infill density.
INTELLIGENT TOOL FOR DEVELOPING STUDENT’S SOCIAL SKILLS

1 Moscow City University (RUSSIAN FEDERATION)2 Higher School of Economics (RUSSIAN FEDERATION)3 ORT de Ginzburg school (RUSSIAN FEDERATION)4 St. Petersburg branch of World ORT (RUSSIAN FEDERATION)5 Tel Aviv University (ISRAEL)
CORONAVIRUS AGAINST EDUCATION: E-LEARNING TO THE RESCUE IN THE CASE OF GREECE

Appears in: EDULEARN20 Proceedings Publication year: 2020Pages: 8148-8154ISBN: 978-84-09-17979-4ISSN: 2340-1117doi: 10.21125/edulearn.2020.2031Conference name: 12th International Conference on Education and New Learning TechnologiesDates: 6-7 July, 2020Location: Online Conference
Research on the Impact of Mobile Terminal on Fragmented Learning Efficiency based on DEA

At present, the research results of the impact of mobile fragmentation learning efficiency have the problem of low evaluation efficiency. Based on the analysis of the structure of the mobile terminal learning system, the evaluation index system of the impact of mobile terminal on the fragmentation learning efficiency is constructed. By collecting questionnaires and sorting out relevant data, the distribution of evaluation indexes was obtained and the final evaluation index system was determined. DEA was used to evaluate the impact of mobile terminals on fragmentation learning efficiency. Experimental results show that this method has the lowest chi-square degree of freedom/DF than CMIN, the fitting index is relatively stable, the fitting degree is relatively high, the approximate root mean square error value is relatively small, the maximum value is only 0.009, the performance is significantly improved, showing a good feasibility.
Human face gender identification using Thepade's sorted N-ary block truncation coding and machine learning classifiers

Human face gender identification is increasingly gaining popularity because of exponential interest in ubiquitous and pervasive computing. The computing embedded in environment can feel the person's presence and as per person being male or female, may induce certain decisions with help of ubiquitous computing devices to make environment suited to person. The challenge of detecting a face is male or female is very trivial due to similarity of features. This work presents use of Thepade's Sorted Block Truncation Coding N-ary (TSBTC N-ary) for face feature extraction and further deploys machine learning classifiers to identify face as male or female. In proposed face gender identification, TSBTC N-ary is explored with six combinations (from two-ary to seven-ary) for face feature extraction with fourteen machine learning classifiers giving 96 variations; tested using Faces94-dataset. Classification accuracy is used as performance measure. Overall Random Forest gives best performance and TSBTC-7ary outperforms other feature extraction variations.
Design and Evaluation of Enumeration Attacks on Package Tracking Systems

Most shipping companies provide a package tracking system where customers can easily track their package delivery status when the package is being shipped. However, we present a security problem called enumeration attacks against package tracking systems in which attackers can collect customers’ personal data illegally through the systems. We specifically examine the security of the package tracking websites of the top five popular shipping companies (Korea Post, CJ Logistics, Lotte Logistics, Logen, and Hanjin Shipping) in South Korea and found that enumeration attacks can be easily implemented with package tracking numbers or phone numbers. To show potential risks of enumeration attacks on the package tracking system, we automatically collected package tracking records from those websites through our attack tool. We gathered 1,398,112, 2,614,839, 797,676, 1,590,933, and 163,452 package delivery records from the websites of Korea Post, CJ Logistics, Lotte Logistics, Logen and Hanjin Shipping, respectively, during 6 months. Using those records, we uncover 4,420,214 names, 2,527,205 phone numbers, and 4,467,329 addresses. To prevent such enumeration attacks, we also suggest four practical defense approaches.
Development of the Architecture of the System for Detecting Objects in Images

In recent years, taking into account the development of the needs of human society, a great need has arisen for the automation of various processes. To solve such problems, are used neural network technologies, which are attempts to reproduce the human nervous system, are actively gaining great popularity. In particular, neural networks are actively used in the tasks of classifying objects on images, and therefore, based on this, the task of developing new or modifying existing algorithms is relevant. This article presents an analysis of existing algorithms for using neural systems to classify objects in images, as well as technologies for constructing machine vision systems. An attempt is made to develop the architecture of a system for detecting objects on images, is capable of scaling both vertically and horizontally, which is characterized by sufficient accuracy and speed. Based on the developed architecture, a system for automating the process of classifying objects in images was developed. To give recommendations, a software module was developed that uses machine learning to identify the rules by which the class of the image object should be made. Neural models implementing the classification of objects in images were also configured and trained. The classification results are checked on a real data set, which is similar in composition of attributes to that which will be during production use of the system.
Development of a Method for Modeling Entangled Quantum Computations Applicable in the Simon’s Quantum Algorithm

This paper describes the fundamentals of developing quantum algorithms and modeling entangled quantum computations applicable in quantum algorithms. Quantum algorithms involve the use of vector and matrix algebra. The fundamental tasks of the modeling proposed in the work are determined within the framework of the algorithm for the execution of quantum algorithms, taking into account entanglement. A technique has been developed for modeling entangled quantum computations applicable in the Simon quantum algorithm, which helps to predict the behavior of the quantum algorithm (or any other computational process that proceeds as part of the operation of a quantum computing system) with partial entanglement. The development of the theoretical foundations of creating software systems and the construction of algorithms for new information technologies and specialized computing systems is a dynamic field, as evidenced by the number of existing works in this direction. The developed algorithms for various problems of complexity classes can give a significant gain in efficiency in comparison with existing classical ones and provide a solution to a number of complex mathematical (including cryptographic) problems.
PENGEMBANGAN MATERI PEMBELAJARAN BERBASIS APLIKASI

The limited of the teacher to create a creative and innovative learning method is the main problem of the learning application that based on ICT. It is because the lack of teacher's ability of using learning support media. Therefore, it is indeed important to use anlearning application to create the concepts and the materials onto learning media. For example, Adobe Flash for Videos and Games, Prezi for Animation, also e-Book. A workshop about The Development of Learning Media Based on Application can be the right answer to solve the problems that we're facing. The purpose of this Workshop is to motivate and to create unlimited and attractive concepts for learning media, so the student's ability to learn is developing.
Color balancing and dehazing algorithm for colored haze removal

Images collected in fog can lose contrast and fidelity due to the scattering and absorption of light by the fog particles. In particular, unlike common white fog, colored fog exhibits varying degrees of light attenuation at different wavelengths, resulting in the simultaneous deviation of contrast and color. We present the failure of the traditional algorithm in the colored haze removal process. In order to eliminate the negative influence of colored fog on images, we introduce a hazy image restoration algorithm based on the modified color balance and variant of the dark-channel dehazing process. Our proposed technique corrects the color deviation, such that the transmission of each color channel is consistent, thus allowing for defogging via the dark-channel principle to improve the image quality. Moreover, we use the L0 gradient minimization algorithm to improve the dark-channel algorithm, thus optimizing the output of underwater image processing. Our proposed method is implemented for the restoration of several hazy underwater images, proving its ability to effectively eliminate the influence of different types of colored fog, overcoming the key limitation of the traditional dehazing approach.
A COMMUNICATION AID FOR DEAF AND MUTE

Sign language helps deaf and mute people to communicate with normal people. But not all people understand sign language. The design facilitates a normal communication between a deaf and mute person with a normal person who does not know their sign language. The main technology used here is video processing. On a real time basis continuous video of hand gestures is captured using webcam. The acquired video is converted to text using OpenCV which is a software tool that provides the support to image and video processing technique. The proposed system consists of four key modules like: a)pre-processing and hand segmentation,b) feature extraction, c)sign recognition and d)sign to text conversion. Segmentation can be made by using a background subtraction algorithm. Next stage involves calculating contour area, the defects of hand using convex hull, hull area, and solidity. Also we find the angle between two fingers and the aspect ratio of hand. Text is visible on screen based on each processed hand gesture, and is the final output. This is an economic system.
Estimation of centroid, ensembles, anomaly and association for the uniqueness of human footprint features

Present study proposes an approach for the estimation of the distinctiveness of human footprints under the machine learning environment. In this system, a sum of 880 raw footprints have been segmented to get the 21 features for ensemble learning. All the features have been analysed for computation of minimum, mean grey value, median, maximum, standard deviation, kurtosis, and skewness for footprint dataset. The G-means clustering offers centroid information of footprint features. A set of 10 ensembles has analysed for surrogate footprint attributes. Ten anomaly models were created for anomaly scores among these features. The association of features gives the uniqueness of the human footprints for personal identification through fuzzy rules for every set of ensembles. As a consequence, centroid, ensembles, anomaly, and affiliation proved the individuality of human footprints.
The Compare of Solo Programming and Pair Programming Strategies in a Scrum Team: A Multi-agent Simulation

Scrum is a popular software development process that addressed the complex software delivery through multi-sprint. However, the scrum team working strategy remain undefined, such as how-to delivery the software at each sprint by optimized task allocation for various team composition is a complex problem. This paper proposed a multi-agent based simulation methods to model scrum team and the proposed innovative team working strategy, in order to verify the performance of the team under different working strategies. A solo strategy and pair programming strategies for the scrum team are designed. Criteria such as completion time, effort time and idle time are considered into the evaluation of the designed team strategies. The testing experiment shows that the adoption of pair programming to scrum team can help the team to improve its performance under specific context.
Cybersecurity and the World of Tomorrow

The prominence of the World Wide Web has been immense over the past couple of decades. With its ever-increasing popularity and usage, it is bound to bring potential dangers as well. We must place (even) greater emphasis on ways in which cybersecurity can be enhanced to improve the safety of searching the Internet, as well as the accuracy of the information available, without encroaching on or violating the freedoms of its users. Keywords: Cybersecurity, Internet, Cryptography, Information, Security, Technology Cite this Article: James P. Embrey. Cybersecurity and the World of Tomorrow. Journal of Network Security. 2020; 8(2): 8–10p.