Reviewerly/exHarmony huggingface dataset:
Traffic sign and Obstacle detection in Vehicular Ad-Hoc Network (VANET) using HOG and Haar Classifier Techniques

Wireless technology is progressing faster with time. People are doing research these days generally in the field of Wireless communication. VANET is the most developing exploration territory in remote correspondence. With the headway and development of the VANET, there will be an incredible upheaval in the field of telecommunication regarding quick handovers, arrange accessibility, security, wellbeing with the utilization of cutting edge applications and so on. VANET innovation is progressing with the progression of time however there are numerous issues that must be routed to make the system more overwhelming. In this paper we have proposed an effective mechanism for object detection in highways using Neural Networking and proving driver assistance to enhance the existing system to the next level as Intelligent Transportation System.
KNOWLEDGE DISCOVERY AND FRAMEWORK FOR PURCHASE BEHAVIOR ANALYSIS IN MOBILE GAMING APPLICATIONS

The gaming industry is a fast expanding industry with a large global market and is projected to hit $300 billion by 2025.The total number of players in 2019 was projected to hit 2.4 billion (Taylor, 2019).Knowledge discovery is achieved by collecting and analyzing data from within the gaming applications.The data collected is used to understand players, gain insights and to improve products for the gaming community based on feedback and user interaction.And as a result, obtained knowledge contributes to monetization in a way that is especially interesting in the e-sports and streaming space.Machine learning is one of the technologies that can assist in knowledge discovery as it provides potential to obtain insights into previously overlooked data.This paper provides insight in a work of how machine learning algorithms are applied to gain behavior understanding whithin mobile gaming applications in a way compliant with European General Data Protection Regulation (GDPR).The paper is a part of a larger research work and contributes to the domain of knowledge discovery within in-app purchase behavior data and serves as a step towards further research in this area.
PERANCANGAN PROTOTYPE SISTEM PENYEWAAN TANGKI TIMBUN (STORAGE TANK) CRUDE PLAM OIL (CPO) DAN PALM KERNEL OIL (PKO)

In the era of digitalization like now, the use of technology has penetrated into various aspects of life. The utilization of computer systems to support human work has become a commonplace thing. This also applies in the process of leasing a storage tank at PT XYZ. At present the storage tank rental system still uses a general program that only aimed at processing numbers. This certainly causes the currently existing rental system has several shortcomings, such as the unavailability of the function to control and report leasing of the existing storage tank. Based on these problems, the authors conducted a study entitled the prototype design of crude palm oil (CPO) storage tanks and palm kernel oil (PKO) systems. The system to be designed in this study was designed using waterfall modeling and use case diagrams. The rental system designed by this research has the function of changing user passwords, processing data such as user data, tanks, vehicles, customers, recipients, receipts and expenditures of palm oil, as well as reports on oil palm revenues and expenditures.
Massive data haul not all it seems

The discovery of a massive collection of stolen credentials being offered for sale in underground forums resulted in hyperbolic headlines and considerable excitement in some sections of the security industry. However, the data haul has turned out to be less impressive than it first seemed.
Quantum computing and simulation

Quantum computers and simulators can have an extraordinary impact on our society. Despite the extraordinary progress they have made in recent years, there are still great challenges to be met and new opportunities to be discovered.
IOU Computation

IOU means "Intersection Over Union." It is used as a metric in image detection technology. This metric computes a ratio of the overlap area between two rectangles over their union area. For simplicity, the two rectangles are in the same direction, as you will see R1 and R2 in Figure 31-1.
Intelligent Excitation Control System for Plant Generator

Excitation framework in a Power plant assumes significant job to keep up the terminal voltage of the generator at a predetermined level by controlling the exciter voltage of the generator. The most elevated level of unwavering quality requests savvy excitation framework. A tale plan for excitation control of utilizing neural controller is proposed. The current control plans experience issues to adapt up to inborn time delay, nonlinearity because of vulnerability of the excitation procedure and regular changes load. For the present work due thought has been given to ΔVT Terminal Voltage, ω Rotor Speed, P Active Power and Q Reactive Power. The exhibitions of proposed plans are assessed by recreation and the outcomes are contrasted and traditional controllers utilizing constant information got from the warm power plant. The upsides of the proposed plan over the current controllers are featured. [1], [ 3],[5]
A Research on Link Mining Tasks

Coping with the difficulty of mining luxuriously prepared, heterogeneous datasets wherein the devices are linked together are massive problems of records mining. Connections between gadgets may also show effective examples which can be useful for some form of statistics mining undertakings and are usually now not a smooth errand to trap with traditional authentic fashions. Some informational collections of intrigue nowadays are quality depicted as a connection accumulation of bury associated objects. These articles communicate to homogeneous systems in which there are single-object kind and connection kinds (eg. People associated with the aid of partner's connections or the arena wide net, accumulations associated internet site pages) or more extravagant heterogeneous systems wherein there might be numerous articles, conceivably distinct semantic data and connection types. In medicinal location portraying patients, infections, medications, and contacts, or in bibliographic regions, as an example, depicting productions, creators and scenes are the times of heterogeneous structures. Connection mining is an information mining structures that unequivocally bear in mind the ones association of connections even as constructing classificatory or premonition models of the related records. Normally connection mining assignments include article positioning, mixture arrangement, interface forecast, bunch recognition and sub-diagram revelation. It's far a provocative and fast developing location. In this examine paper we survey connection mining errands, a few primary developing subjects and talk approximately non-stop connection mining issues, open dispute and endorse mind that is probably open doors for preparations. The maximum stop of this take a look at is to provide future levels in link Mining and proposes mind to apply connection mining structures from connection mining to enlarge Semantic net.
Text Manipulation

This chapter treats text manipulation, where we want to do more than find things in our data, but alter it in systematic ways.
The Potential of the m-Health Platform to Safeguard Public Health: The Nigerian Example

Nigeria has a problem with fake drugs.This issue got to an intolerable height in 1989 when over 150 children died as a result of ingesting paracetamol syrup containing diethylene glycol.The National Agency for Food and Drug Administration and Control (NAFDAC) was formed in 1993, as an agency under the Nigerian federal ministry of health, to check the tide of fake drugs and adulterated products.To achieve this mission, NAFDAC, in 2010, launched the Mobile Authentication Service (MAS) -a mobile-phone m-Health platform, which empowers medication drug users to instantaneously verify the authenticity or otherwise of a medication drug before purchase.This study sought to ascertain the workability of MAS among medication drug users; and factors negating this platform.The study was designed as a survey.Data was collected from 400 medication drug users in Lagos state, Nigeria, through a structured survey.Results show that 91 percent of the respondents were aware of MAS and 53 percent among these utilized it prior to purchasing medication drugs, while 9 percent were neither aware of MAS nor utilize it.The notable barriers to the use of MAS found in this study were lack of awareness and the unreliable nature of the MAS.
Advanced Generators

The field of artificial intelligence and machine learning is growing by leaps and bounds daily with new forms of GANs/generators being developed. Through the course of this book, we have covered the history of those generators as they have progressed. We looked closely at the details and technical advances of their contribution to generation, as well as how they may have failed.
An efficient density-based clustering algorithm with circle-filtering strategy

Recently a density peaks clustering algorithm (DPC) was proposed to obtain arbitrary shapes of the clusters effectively. The cluster centres are discovered by finding density peaks according to the decision graph which drawn based on the density-distance. However, the computational complexity is extremely high for calculating the density-distance of each point, which limits the application of DPC for the large-scale data sets. To overcome this limitation, an efficient density-based clustering algorithm with circle-filtering strategy (CFC) is proposed. CFC removes useless points based on a circle-filtering strategy first, and then the cluster centres are selected according to the remaining points. Experimental results show that CFC can reduce the computational complexity on the basis of ensuring the accuracy of clustering, and outperforms DPC.
An Anatomy of Faceted Search on World Wide Web

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
International Conference PhysicA.SPb/2020

The International Conference PhysicA.SPb was held 19-23 October 2020 in Saint-Petersburg, Russia. The Conference continues the tradition of Saint-Petersburg Seminars on Physics and Astronomy originating from mid-90s. Since then PhysicA.SPb maintains both scientific and educational quality of contributions delivered to the audience. This is the main feature of the Conference that makes it possible to combine the whole spectrum of modern Physics and Astronomy within one event. PhysicA.SPb/2020 has brought together over 400 academics from many universities and research institutes across whole Russia as well as from UK, Japan, South Africa, China, Armenia, Belarus, Azerbaijan, Netherlands and France. Oral and poster presentations were combined into well-defined sections among which one should name Astronomy and Astrophysics, Optics and spectroscopy, Physics of ferroics, Nanostructured and thin-film materials, Mathematical physics and numerical methods, Devices and materials for the THz and microwave ranges, Biophysics, Optoelectronic devices, Surface phenomena, Physics and technology of energy conversion, Plasma physics, hydrodynamics and aerodynamics, Nuclear and elementary particle physics, Impurities and defects in solids, and Physics of quantum structures. This issue of the Journal of Physics: Conference Series presents the extended contributions from participants of PhysicA.SPb/2020 that were peer-reviewed by expert referees through processes administered by the Presiders of the Organising and Program Committees to the best professional and scientific standards. This was made possible by the efforts of the Sectional and Technical Editors of this Issue: Prof. Petr Arseev (Lebedev Physical Institute), Prof. Alexander Ivanchik (Ioffe Institute), Prof. Polina Ryabochkina (Ogarev Mordova State University), Prof. Yuri Kusraev (Ioffe Institute), Dr. Sergey Nekrasov (Ioffe Institute), Dr. Nikolay Bert (Ioffe Institute), Dr. Nikita Gordeev (Ioffe Institute), Dr. Alexey Popov (Ioffe Institute), Dr. Prokhor Alekseev (Ioffe Institute), Dr. Mikhail Dunaevskii (Ioffe Institute), Dr. Kirill Zaytsev (Prokhorov General Physics Institute), Dr. Alexandra Kalashnikova (Ioffe Institute), Dr. Evgenia Cherotchenko (Ioffe Institute) and Prof. Dmitry Khokhlov (Moscow State University). The Conference is supported by the Russian Foundation for Basic Research (grant no. 20-02-22042). The Editors: Nikita S. Averkiev, Sergey A. Poniaev and Grigorii S. Sokolovskii
String Theory

A natural 1-dimensional generalization of the point particle is its blow-up into an open or closed string. It turns out that both possibilities are meaningful and, in fact, at quantum level the former implies the latter. The action for the open string turns out to be structurally very similar to that of the point particle described in the previous chapter.
ROLE OF “NEWSPAPER’ FOR LANGUAGE LEARNING

Learning a language involves the establishment of the links between the language forms and their meanings. The three factors involved in the process are the form, the content or meaning and their association. Language is a skill rather than a subject. Though a skill does not altogether prelude intellectual activity, it is more a matter of ‘doing’ than of knowing’. This skill of learning second language can be acquired by providing the students sufficient opportunities to hear / read the language being used in meaningful situations and to make them use it. This paper outlines a few exercised that can be designed to make language learning happen in the classroom and also help learners to enhance their vocabulary, grammar and idioms and phrases. Newspapers give scope for readers to understand the content better, easier and interesting as they have lot of choice in reading.
Accessible System for Sign Language Computation

Sign Language is most accepted and purposeful way of communication for deaf and mute folks of the society. signing uses gestures, head/body movements and facial expressions for communication. it's a strong manner of Non-Verbal communication among humans. each country has its own developed signing. The language which is employed in Bharat is named as “Indian Sign Language (ISL)”. terribly lessresearch work has been carried out during this space as ISL has standardized recently. presently several researchers have primarily focused on gesture recognition that has been recorded underneath static hand gesture. solely few works have been reported for recognition of dynamic hand gesture. several ways are developed to recognize alphabets and numbers of ISL. The major steps concerned in planning such a system area unit gesture acquisition, trailing and segmentation, feature extraction and gesture recognition. This paper presents a survey on varied hand gesture recognition approaches for ISL. General Terms : Hand Gesture Recognition, Human computer interaction, YOLO3
PEDAGOGICAL AND PSYCHOLOGICAL BASICS OF USING ELECTRONIC LITERATURE IN THE LEARNING PROCESS

It is known that textbooks and teaching aids, as well as other teaching aids play an important role in improving the quality of education. Existing traditional textbooks based on print media are no longer sufficient to achieve the informational goals associated with the application of information technology in education. Therefore, the creation of new electronic resources and their implementation in the educational process has become an urgent problem of informatization of education. In this regard, the creation of e-textbooks and their use in the educational process is of great importance.
Design of a Mobile App with the Use of Machine Learning for the Monitoring of Coronavirus Patients (COVID 19) In Peru

Globally, the massive expansion of acute respiratory syndrome (COVID_19) is mainly caused by the massive agglomeration of people at the time of travel, as a person infected with the virus who does not have the respective preventive measures can infect 3 more people according to studies.For this reason, here is proposed a mobile application with the use of the Machine Learning methodology for future prediction, through the historical data learned.In this scenario, historical data collection is performed and a decision tree is designed to evaluate the behavior of the data divided into three evaluation criteria (high, medium, and low) probability.As a result, the design of the App is shown with spaces for patient follow-up through, constant chat (doctor-patient), patient communication forums, prescriptions, recommendations and up-to-date information about the virus.This app will be useful for all Peruvian citizens as they avoid mass congestion of people when they move to a health center to have a discard test or other frequently asked questions to a doctor.
Scientific methodological and organizational support of the state final certification of university graduates

Generalized is experience of Penza State University of Architecture and Construction and of a number of other universities in the country in scientific methodological and organizational support of the state final certification of bachelors and undergraduates in the direction of training “Management”. This experience has been recognized by many higher educational institutions in Russia, and the presented approaches are recommended by the UMO of Russian universities for education in management for use in the state final certification of graduates of higher educational institutions. In addition, the article analyzes the problems that higher educational institutions have recently faced in connection with the pandemic, having to organize the educational process in a distance format. The practical implementation of the presented experience of the state final certification of graduates will contribute to improving the quality of theoretical and practical training of students at the final stages of study at universities, as well as ensuring an integrated approach to the final phases of state final certification and, as a result, increasing the effectiveness of training in higher educational institutions.
KATA PENGANTAR TIK VOL 5 NO 2 DESEMBER 2018

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Token Distribution Analysis

This chapter expands upon the introduction to regular expressions and introduces several new functions including seq_along, rbind, apply, and do.call. if conditionals and for loops are also presented as we explore how to identify chapter breaks and build a distribution plot based on chapters.
Anisotropy

This third edition provides a concise yet approachable introduction to seismic theory, designed as a first course for graduate students or advanced undergraduate students. It clearly explains the fundamental concepts, emphasizing intuitive understanding over lengthy derivations, and outlines the different types of seismic waves and how they can be used to resolve Earth structure and understand earthquakes. New material and updates have been added throughout, including ambient noise methods, shear-wave splitting, back-projection, migration and velocity analysis in reflection seismology, earthquake rupture directivity, and fault weakening mechanisms. A wealth of both reworked and new examples, review questions and computer-based exercises in MATLAB®/Python give students the opportunity to apply the techniques they have learned to compute results of interest and to illustrate Earth's seismic properties. More advanced sections, which are not needed to understand the other material, are flagged so that instructors or students pressed for time can skip them.
Navigation

Navigation gives users what they need to get around an app quickly, moving from screen to screen with confidence and ease. This may include menus, tappable icons, buttons, tabs, and list items, as well as many types of gesture-sensitive screens to display data, information, and options to the user. There are industry-standard ways of doing this called navigation patterns. Each of those patterns provides a template for UI appearance and interaction. These patterns can be combined and stacked and connected like Legos to form the skeleton of an entire app. Once we have a user moving between screens, there is then the consideration of state, or how data is passed back and forth between pages. In this chapter we’ll delve into navigation patterns and their ways to manage navigation state.
Affectivity

This chapter demonstrates the analytic capacity of the enactive approach developed throughout the book. The author draws once again on Merleau-Ponty, as well as recent additions to his work by the neuroscientist Francisco Varela and the cultural theorist Mark Hansen, in order to explore how listeners’ fundamental capacity to both affect and be affected by musical sounds in essence generates lived musical time. The chapter explores the consequences of this process with an analysis of time and eternity in Louis Andriessen’s monumental work <italic>De Tijd</italic> (1979–81). The author illustrates how Andriessen creates the conditions of opportunity for the enactment of multiple temporalities, leading to the possibility of experiencing “chronal anxiety.”
Noise Reduction in Speech Coding Technique Used in GSM

The improvement in speech quality in mobile communication can be made by reducing the noise content. The low bit rate speech coding technique such as RPE-LTP in GSM with noise signal filtering can increase the complexity of complete mechanism. The paper presents noise signal reduction in RPE-LTP speech coding technique by using Zero Crossing Rate (ZCR) and pitch values. By using this technique quality measures of speech coding technique such as SNR, PESQ, MSE are improved as compared to RPE-LTP technique without affecting complexity.
Effective Multi-View for Human Activity Recognition on Skeletal Model

The recognition of 3D human pose from 2D joint location is fundamental to numerous vision issues in analysis of video sequences.Various methods using with skeletal model have been described in past decades, but there is required a powerful system with stable and reliable manner in activity recognition because video sequences can contain different people that may be any position or scale and complex spatial interference.With the development of deep learning, skeleton-based human representation is more reliable to motion speed and appearance of human body scale.Skeleton data contains compact information of the major body joints and that support multi-view to human activity recognition.To satisfy our aim, the proposed system is developed by using OpenPose detector that achieve effective results for 2D pose and Deep Learning based approach.Our goal is to extract valuable information between human joints and to recognize correct activity from human representation in video sequences.