Reviewerly/exHarmony huggingface dataset:
A survey on state of art approaches in handling imbalance, positive and unlabelled data

Machine learning algorithm extends its horizon in various application domains. Real time applications in various sectors which can be effectively handled with machine learning techniques lack from it due to the unavailability of the required data. In such cases the data may be imbalanced, with a single class labeled and other unlabelled. However, this will be the prevailing scenario in future and has to be addressed. This work concentrates on studying the various approaches that are in practice to handle these kinds of data. In specific, it concentrates on approaches used for handling imbalance data sets and the recent works in it, methods used for handling positive unlabelled data. Though there are few solutions in practice for handling imbalance data and positive unlabelled data. Approaches that work at the data level and algorithm level approach for handling the former and techniques such as biased learning and class prior models for handling the later are in practice. One class classifier is another approach that can be used for addressing the problem that arises with the class imbalance in the dataset and related issues. It has also been noted from the literature that one class classifier will be more suitable but it has not been widely used in addressing the problems such as class rarity. It can be inferred from this study that the one class classifier would play a significant role in various domains in future.
Algorithm development for obtaining X-ray image of a testing object in VR environment

Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter Facebook Reddit LinkedIn Tools Icon Tools Reprints and Permissions Cite Icon Cite Search Site Citation E. E. Kovshov, V. S. Kuvshinnikov; Algorithm development for obtaining X-ray image of a testing object in VR environment. AIP Conf. Proc. 27 February 2023; 2605 (1): 020012. https://doi.org/10.1063/5.0110363 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAIP Publishing PortfolioAIP Conference Proceedings Search Advanced Search |Citation Search
Design and manufacturing of a BCI-controlled smart wheelchair

Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter Facebook Reddit LinkedIn Tools Icon Tools Reprints and Permissions Cite Icon Cite Search Site Citation Basavaraj H., Hari Krishna; Design and manufacturing of a BCI-controlled smart wheelchair. AIP Conf. Proc. 27 February 2023; 2427 (1): 020026. https://doi.org/10.1063/5.0102101 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAIP Publishing PortfolioAIP Conference Proceedings Search Advanced Search |Citation Search
Autonomous navigating robotic car

Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter Facebook Reddit LinkedIn Tools Icon Tools Reprints and Permissions Cite Icon Cite Search Site Citation Dharmendra Singh, Aishwary Awasthi; Autonomous navigating robotic car. AIP Conf. Proc. 27 February 2023; 2427 (1): 020016. https://doi.org/10.1063/5.0125425 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAIP Publishing PortfolioAIP Conference Proceedings Search Advanced Search |Citation Search
A Lightweight Hash Function Based on Enhanced Chaotic Map Algorithm(Keccak)

Cryptography is a security strategy that prevents disclosure of the information while it is transit, in storage, or both. There are a variety of methods for maintaining data security, including utilizing light weight speed algorithms for encryption and parameter validation. Many algorithms have originated in the area of information protection, helping to assure the validity of the information generated. These include the following algorithms: SHA-1, SHA-2, SHA-3, AES, RC5, RSA, and more. In order to secure the legitimacy of the information and monitoring data , the speed of encryption and authentication must be critical. . Due to the necessity of fast and secure algorithms, these features are required. In this work, modification of the SHA-3 algorithm by introducing a new function called (the keccak function), which has an extremely quick execution time and a high level of security, also versatile cryptographic function. This change is implemented via the 2D chaotic system, which is geared towards generating random values for constants for the SHA3 algorithm. These constants values are generated by the SHA3 algorithm, and so are random and unguessable by the intrude. Statistical tests conducted by the National Institute of Standards and Technology (NIST) effectively outperformed the randomness of a proposed approach .The proposed algorithm shows lower execution time compared to previous studies, which is 0.041616sec for 1MB. Index Terms — Cryptography, Hash function, keccak Function, SHA-3, Chaotic system.
Import substitution in the information market: The challenges for the libraries

The authors discuss the import substitution policy pursued by Russia in response to the imposed sanctions. On the basis of the analysis, IT companies that have stopped or suspended their activities in Russia, are identified. The authors consider the possibility to transfer to domestic or Open-Source systems, which would enable the full range of library functionality.
Management of Cybersecurity through Internal Communication

Organizations increasingly experience threats to their organization's cybersecurity such as data theft, manipulation, and fraud. However, the topic is rarely discussed in the field of communication management. Defined as a set of guidelines, technologies, and training that provide protection of an organization's data and of its computer and digital communication infrastructure, cybersecurity is perceived as a critical topic for communications professionals. This chapter discusses findings from a survey on perceptions about cybersecurity from 1,046 communication professionals in the United States and Canada, conducted as part of North American Communications Monitor (NACM) 2020–2021. This survey provides comprehensive understandings of communication professionals' personal and organizational experiences related to cyberattacks or data threat; internal information management to enhance cybersecurity; and perceptions of likelihood of attacks from cybercriminals. Moreover, the chapter shares various insights applicable for organizations' internal communication to better manage emerging threats to cybersecurity. Internal communication presents a number of opportunities to prevent and mitigate crises related to cyberattacks and data thefts. The survey findings revealed the importance of internal communication and employee engagement for cybersecurity issues. Based on these findings, practical implications for educators and practitioners will be further discussed at the end.
Pemodelan variasi weight roller CVT terhadap torsi mesin K20 menggunakan metode logika Fuzzy

This research was conducted to find the gray value of the Weight roller weight test against the engine RPM of a motorized vehicle, torque is the desired result. Large torque but still within reasonable limits of fuel use, namely 1:15. After testing using the Dyno test, the results are processed using fuzzy logic. The use of weight rollers is indeed proven to be able to increase the torque value of a machine, but the results can change depending on the processed value, therefore it is assisted by a fuzzy system to get maximum results. The use of a 13 gr weight roller produces a torque of 08.89 Nm at 5000 RPM which is smaller than the torque on a standard size Weight Roller which is 10 gr.
Applying the Think-Aloud Method for Usability Analysis in the Peking Metagamelan Virtual Reality Learning Application

The rapid development of technology affects people’s lives, including education, and virtual reality is one of many digital learning media that can be useful for learning. Virtual reality allows users to interact with the environment through a virtual world. With this concept in mind, an application to support gamelan learning based on Virtual Reality was developed called Peking Metagamelan Virtual Reality. Peking is a gamelan instrument made of bronze with rectangular blades. This application needs to know the user’s opinion regarding its performance and usability in its development. Therefore, the Think-aloud method assisted in the usability analysis process in the VR Metagamelan Peking application. The Think-aloud approach helps to express what the user feels and thinks when using the application. The research process involved five respondents from various educational backgrounds and different experiences. Respondents were asked to work on several task scenarios that were ordered. During the task scenario, respondents were asked to convey their thoughts regarding the application they were trying. The results were then analyzed and produced some recommendations for further improvements to the VR Metagamelan Peking application. The recommendations included improving the application interface, adding several features, and reducing the character’s speed.
Priority Scheduling Implementation for Exam Schedule

Scheduling is a common problem that has been raised for a long time. Many algorithms have been created for this problem. Some algorithms offer flexibility in terms of constraints and complex operations. Because of that complexity, many algorithms will need huge computation resources and execution time. A platform like a web application has many restrictions such as execution time and computation resources. A complex algorithm is not suited for the web application platform. Priority scheduling is a scheduling algorithm based on a priority queue. Every schedule slot will produce a queue based on the constraints. Each constraint will have a different weight. Weight in queue represents their priority. This algorithm provides a light algorithm that only needs a few computations and execution times. The exam schedule is one of many problems in educational institutions. A web application is a popular platform that can be accessed from everywhere. Many educational institutions use web platforms as their main system platform. Web platforms have some restrictions such as execution time. Due to web platform restrictions, priority scheduling is a suitable algorithm for this platform. In this study, the author tries to implement a priority scheduling algorithm in scheduling cases with a website platform and shows that this algorithm solution can be an alternative for solving scheduling cases with low computational resources.
Estudio cualitativo sobre la perspectiva de los estudiantes universitarios acerca de la educación virtual en contexto de pandemia

Qualitative study on the perspective of university students about virtual education in the context of a pandemic
Analysis of the composition of ancient glassware based on grey correlation and principal component analysis

Power load forecasting is very important for power dispatching. Accurate load forecasting is of great significance for saving energy, reducing generating cost and improving social and economic benefits. In order to accurately predict the power load, based on BP neural network theory, combined with the advantages of Clementine in dealing with big data and preventing overfitting, a neural network prediction model for large data is constructed.
Machine Vision Assisted Precision Alignment System for Optical Path Calibration in Point Diffraction Interferometer

In point diffraction interferometer (PDI), alignment error between objective convergent spot and diffraction pinhole is inevitable during the tests. This phenomenon will affect the performance of PDI in follow aspects: 1) great wavefront error; 2) reduction on diffraction efficiency; 3) quality of interferograms. All these factors may finally reduce the measurement precision of the instrument. Aimed at these technical challenges, we propose machine vision assisted precision alignment system for PDI optical path calibration. Firstly, Rayleigh-Sommerfeld vector diffraction theory is used to build mathematical model among alignment error, diffraction wavefront error, numerical aperture, and pinhole size. To satisfy the requirement of error calibration, scheme of machine vision assisted optical path alignment system is designed. Then we adopt magnetron sputtering and electron beam lithography to fabric precision diffraction pinhole. In this stage, alignment images as well as PDI diffraction efficiency (intensities ratio between reflected and diffracted beam) are the dominant information to determine alignment error in multi-directions. In addition, specialized image processing algorithm is designed that can measure alignment error in pixel and physical scope. To realize automatic correction, mathematical model between measurement and control quantities is constructed. Finally, implementation and experiment of this method are also introduced. Misalignment on lateral translation (XOY plane), longitudinal defocus (optical axis Z) and tilt error (XY tile) are well calibrated and the quality of interferograms is also improved. It can be concluded that the proposed system has advantages in accuracy and efficiency of optical path alignment.
Computer crimes in Mexico. Recognition in the criminal laws of the Mexican entities

The global digital transformation has facilitated almost all human activities. The pandemic caused by the SARS-COV-2 virus increased this phenomenon, as commercial, labor, health, educational and social activities moved towards digitalization. In Mexico, this has given rise, among other effects, to computer crimes -such as theft and computer fraud, digital harassment or cyberstalking- which are evolving rapidly and therefore are not on a par with criminal legislation. The purpose of this article is to analyze and assess whether computer crimes are criminalized in the 32 Mexican states. For this purpose, the deductive method and exploratory research were used, in order to observe and confirm whether the entities that recognize digital anti-juridical conducts in their criminal laws contribute to the reporting and investigation, or whether those that do not recognize them promote their ignorance, that the crime is not reported or prosecuted.
RT-libSGM: FPGA-Oriented Real-Time Stereo Matching System with High Scalability

Stereo depth estimation has become an attractive topic in the computer vision field. Although various algorithms strive to optimize the speed and the precision of estimation, the energy cost of a system is also an essential metric for an embedded system. Among these various algorithms, Semi-Global Matching (SGM) has been a popular choice for some real-world applications because of its accuracy-and-speed balance. However, its power consumption makes it difficult to be applied to an embedded system. Thus, we propose a robust stereo matching system, RT-libSGM, working on the Xilinx Field-Programmable Gate Array (FPGA) platforms. The dedicated design of each module optimizes the speed of the entire system while ensuring the flexibility of the system structure. Through an evaluation on a Zynq FPGA board called M-KUBOS, RT-libSGM achieves state-of-the-art performance with lower power consumption. Compared with the benchmark design (libSGM) working on the Tegra X2 GPU, RT-libSGM runs more than 2× faster at a much lower energy cost.
WORD EMBEDDING FOR UNKNOWN WORDS: ADDING NEW WORDS INTO BERT’S VOCABULARY

In natural language processing , dealing with the dynamics of languages , such as the arisen of new words, can be a challenge to models. In deep learning models, when a word is not presented in the training dataset , it is not known by the model and , therefore , considered out of vocabulary (OOV). Although many models manage to get around this barrier , sometimes it is necessary to learn the embedding of a new word. In this sense , a method is presented to obtain a dynamic contextual vector representation of a new word based in the BERT language model. To evaluate the method , we took the case of the arisen of the word ' voip ' in scientific publications , obtaining an embedding close to ' telecommunications ' and ' signalling ', some of the main words with significance in relation to the context of the word of study , demonstrating that the proposed method offers an efficient way to obtain embeddings for new words. No processamento de linguagem natural, lidar com a dinamicidade das línguas, como o surgimento de novas palavras, pode ser um desafio aos modelos. Visto que, em modelos de aprendizado profundo, quando uma palavra não é apresentada na etapa de treinamento ela não é conhecida pelo modelo e, portanto, considerada fora do vocabulário (OOV). Apesar de muitos modelos conseguirem contornar essa barreira, às vezes se faz necessário aprender o embedding de novas palavras. Neste sentido, apresenta-se um método para obtenção da representação vetorial contextual dinâmica de palavras novas a partir do modelo de linguagem BERT. Na avaliação do método, foi utilizado o caso do surgimento da palavra ‘voip’ em artigos científicos, obtendo um embedding próximo de ‘telecommunications’ e ‘signalling’ , algumas das principais palavras com significância em relação ao contexto da palavra de estudo, demonstrando que o método proposto oferece uma maneira eficiente para obter embeddings para palavras novas.
AN EXPLORATORY STUDY FOR THE CATALOGING OF AGILE PRACTICES IN THE CONTEXT OF SOFTWARE DEVELOPMENT: A FOCUS ON THE AGILE ALLIANCE

Over the years software engineering specialists realized that the traditional development models no longer supported the constant changes in the projects requested either by the customers, or by external factors, for example, the change of technologies and Law Suit. Therefore, given these facts, they decided to form an alliance called Agile Alliance, and launched the agile manifesto with its values and principles, where the main focus was the interaction between people, working products, collaboration with customers and quick responses to changes. After the release of the manifest, numerous agile practices were suggested in order to improve the software development process, making them faster and more efficient, reducing the waiting time between the release of increments and adding more value to the final product, increasing customer satisfaction. customers. In this article, a catalog of the main agile practices is presented, listed by the Agile Alliance organization, in the agile subway map, the main objective of cataloging is to provide a collection of practices that can be used in different software development projects, in addition to informing its main features and benefits and propose a model of how to use a particular practice. A bibliographic research was carried out, in order to find studies in the literature that speak of the approached practice, in this way it is possible to suggest the complement of the studies from the works also cataloged along with the agile practices. Ao longo dos anos especialistas em engenharia de software perceberam que os modelos de desenvolvimento tradicionais já não comportavam as constantes mudanças nos projetos solicitados tanto pelos clientes, quanto por fatores externos, por exemplo, a mudança de tecnologias e processos. Diante destes fatos, decidiram formar uma aliança denominada como Agile Alliance, e lançaram o manifesto ágil, com seus valores e princípios, onde o foco principal é a interação entre pessoas, produtos funcionando, colaboração com os clientes e rápida respostas as mudanças. Após o lançamento do manifesto, inúmeras práticas ágeis sugiram afim de melhorar o processo de desenvolvimento de software, tornando-os mais rápidos e eficientes, diminuindo o tempo de espera entre o lançamento dos incrementos e agregando mais valor ao produto final, aumentado a satisfação dos clientes. Neste artigo, é apresentado um catálogo das principais práticas ágeis, elencadas pela organização Agile Alliance, no mapa do metrô ágil, o principal objetivo da catalogação é disponibilizar um acervo de práticas que poderão ser utilizadas em diferentes projetos de desenvolvimento de software, além de informar suas principais características e benefícios e propor um modelo de como utilizar determinada prática. Foi feita uma pesquisa bibliográfica, afim de encontrar estudos na literatura que falam da prática abordada, dessa forma é possível sugerir o complemento dos estudos a partir dos trabalhos também catalogados junto com as práticas ágeis.
Mapping of Mathematical Problem Solving Processes in Middle School Students: A Methodological and Analytical Approach

Problem solving is now, one of the major skills of the 21st century. In this context, the STEM (Science, Technology, Engineering and Mathematics) approach goes beyond the teaching of school subjects, and the teaching-learning of mathematics should allow learners to appropriate skills of problem solving and solution finding in different life situations. In fact, solving mathematical problems generates cognitive, metacognitive, affective and emotional processes. Therefore, the visualization of these processes allows teachers to implement adequate pedagogical strategies aimed at the development of learners' abilities and skills to solve mathematical problems. In the context of a digital pedagogy, its allowing the designers of computer systems to model the processes in order to set up intelligent tutorial systems (expert systems) helps in the development of mathematical problem solving skills. We present in this article a methodological and analytical approach allowing to verbalize, visualize the networks of resolution of mathematical problem and to represent them schematically. We conclude with a modeling of these networks.
The formation of a professional and patriotic position of future teachers in a modern university

The article reveals the essence of the concept “patriotic professional position of future teachers”. The authors propose a theoretical justification for the forming of a patriotic professional position of students during their studies at the university. The research novelty lies in the design of the conceptual and methodological basis of this process. The application of the proposed conceptual foundations in educational practice allows us to logically and effectively organize educational activities to form a stable professional position for each student, the desire to devote his life to noble pedagogical work for the benefit of the Fatherland and the Russian people.