Reviewerly/exHarmony huggingface dataset:
Single Image Dehazing using Transmission Estimation

Image dehazing is a system which can reduce poor consequence of haze on pictures which increase competence of the picture/tape meting out method in the indistinct climate. The present study, presents a simple image dehazing technique. System deletes the initial transmittal, exactly depends on hidden area division which in turn reduces the initial transmittal. First, we build raw transmittal in Gaussian pyramid using selective transmittal extraction prior. Second, a patch based on Laplacian pyramid which gives the value of nonlinear re-trace function point by point. Third, is universal Laplacian map which states the segmentation-based re-traced image. All the three segmentation guide the performer for transmittal refinement. Finally, the dehazing output gets back from the refined transmittal and atmospheric scattered technique.
Uso de realidad virtual y mecánicas de juego para desarrollar material de aprendizaje

The availability of commercial virtual reality devices represents an opportunity for education in Colombia, which should accelerate the inclusion of new technologies for the development of teaching materials. In this work, a virtual reality product was developed, adapting traditional learning material to game mechanics, a concept known as gamification. The tool was used with a group of high school students from an educational institution, evaluating the effectiveness of this strategy to leverage meaningful learning, finding very promising results to improve training processes.
Parallel Computing of PVS Node based GTS Algorithm on GPU

The developments in the field of computer architecture, it allows humans to play games like Chess, Tic-tac-toe, Go, etc. with computer machines using AI technology. In AI, Game tree search (GTS) is an important approach and is directed toward finding the finest choice of move for computer games. Using the traditional GTS algorithm the computer could not win a human. So there is a need for enhancing algorithms using dynamic parallelism of GPU. The block of thread set is organized on GPU is either one or two or three dimensional for parallel computations. On this, each thread designated by an inimitable mixture of indices. In this paper, parallel computing of node-based Principal Variation Search (PVS) GTS algorithm presented, which runs on GPU using libraries of CUDA. this experiment tested on chess games with different depths and results are compared with the threads on CPU and GPU. The results proved that GPU improves the performance of speedup up to 80 percent on the checkers game. Parallel computing greatly increasing the efficient use of CPU and improves the performances of the PVS-GTS algorithm on GPU to search deeper layers and find the optimal moves for the current players for two-player computer games.
The Method of Avoidance of Unmanned Vehicles in Dynamic Environment

With the rapid development of economy and technology in China, driverless cars have gradually entered the eyes of people and have been widely concerned by the society.driverless car is a kind of land-type intelligent robot.as the name implies, driverless car does not need manpower to operate during operation.it can pass through the computer inside the driverless car. the intelligent driver with computer system as the core is the core of the driverless car.The unmanned vehicle is equipped with the on-board sensing system, which can capture the links around the driverless vehicle in the first time, and analyze the information obtained to realize the automatic planning of the vehicle route. An Overview of Driverless Cars and Their Significance
Automatic Detection of Semantic Classes of Verb-Noun Collocations

It does not surprise us that a bank can be a financial institution as well as a piece of land. Quite often one word is used with different meanings. But sometimes the opposite happens: we choose different words to express the same idea. For example, to give a smile means ‘to smile’, and to lend support means ‘to support’ (Longman Dictionary of Contemporary English, 1995). These two collocations convey the same idea: to smile is to ‘perform’, or ‘do’ a smile, and to support is to ‘do’ support, so that both verb-noun collocations share the same semantics: to do what is denoted by the noun. Likewise, we find that to acquire popularity and to sink into despair both mean ‘to begin to experience the <noun>’, and to establish a relation and to find a solution mean ‘to create the <noun>’. Such semantic patterns or classes are called lexical functions. In this article, we explain the concept of lexical functions, give a summary of state-of-the-art research on automatic detection of lexical functions, and present the framework and results of our experiments on supervised learning of lexical functions fulfilled on the material of Spanish verb-noun collocations.
Book Reviews

Alexandros Seretakis of Trinity College Dublin reviews “Blockchain Economics: Implications of Distributed Ledgers: Markets, Communications Networks, and Algorithmic Reality,” edited by Melanie Swan, Jason Potts, Soichiro Takagi, Frank Witte, and Paolo Tasca. The Econlit abstract of this book begins: “Thirteen papers address topics in blockchain economics, focusing on blockchain technology's potential as an institutional technology.”
Diagnosis Penyakit Diabetes pada Masyarakat Awam Menggunakan Metode Backward Chaining

Expert system is a system that seeks to adopt human knowledge into computers, this research was conducted to diagnose diabetes early. Disease data that were processed were sourced from the South Solok District General Hospital. The method used is Backward Chaining by using a goal-driven approach. The result of testing this method is that the user understands the danger of diabetes and knows how to prevent it. Trials conducted on an expert system for diagnosing diabetes, most people understand the characteristics and symptoms of diabetes and understand how to prevent it. So that this expert system can be recommended for ordinary people.
Notational Nuance in the Twentieth Century and the Motives for Notational Innovation

Over the last century, composers have exercised increasing control over every aspect of performance. They have adopted several strategies, including Stravinsky’s program of recording performances of every piece he composed with himself as pianist or conductor in order to provide templates for all other performances. The principal means for achieving this control, however, lay in the density and specificity of notational instructions. Composers were already using notation to assume control over aspects of performance before the end of the sixteenth century, perhaps beginning with the dynamic marks Giovanni Gabrieli introduced in his Sacrae symphoniae of 1597. A significant increase in the specificity of notation occurs in the works of Beethoven, who, because of the physical infirmity of his deafness, was the first major composer unable to participate effectively in performances of his own compositions.
Students’ Research Activity in the Context of Professional Self-Determination

Introduction. The period of studying in a professional educational organization is the most important in the life of a future specialist, as it is the time when a person becomes a participant of industrial relations, forms views on the profession, changes the system of values, develops motivation for professional activity. The strengthening of social and professional responsibility of a person should be accompanied by the strengthening of an educational institution’s responsibility for the quality of training of a specialist. Researchmethodology. Professional self-determination is considered by researches both as a process, and as the result of the development of a professional, each phase (stage) of which is characterized by different content. The age of adolescence plays here an important role, as the problem of choice of a profession becomes “an affective centre of the living situation” at that exact time. Researchresults. Competitiveness of a specialist becomes one of the priorities of improving the system of professional education in Russia and the most important criterion of its quality. This competitiveness includes not only the intimate knowledge of a profession, understanding of related areas of activity, readiness to practice the chosen profession effectively on a level with the highest world standards but also a high level of social and professional self-determination of graduates, developed self-concept of an individual. Discussion. The main characteristics of self-determination as a psychological and pedagogic phenomenon are belonging to a subject, procedurality, consciousness, self-sufficiency.Conclusion. Professional self-determination is an activity of a person (a component of personal self-determination) which is carried out during social development and maturity and, if necessary, adjusted with the help of a specially organized interference – career-guidance, teaching and educational process, theoretical and practical work.
Gujarati Language: Research Issues, Resources and Proposed Method on Word Sense Disambiguation

Gujarati Word Sense Disambiguation (WSD) is an exceptionally complex when it comes to Natural language handling because it needs to manage complexities found in a language. In this paper, the discussion has put forward about Guajarati language, Gujarati Wordnet and Gujarati word sense disambiguation. Accordingly, the deep learning approach is found to perform better in Gujarati WSD yet one of its weakness is the prerequisite of enormous information sources without which preparing is close to impossible. On the other hand, utilizes information sources to choose the meanings of words in a specific setting. Provided with that, deep learning approaches appear to be more suitable to manage word sense disambiguation; however, the process will always be challenging given the ambiguity of natural languages.
A New Hybrid Method for Effective Computer Aided Diagnosis to Predict Breast Tumor in Elderly Patients

Breast cancer related morbidity has surged in recent years due to lack of awareness and failure to have an early prediction. With technological advancements available, doctors have put-forth their fullest effort to downsize the death-rate. Despite, certain areas of patient diagnosis, specifically with the case of breast cancers need a symbiotic improvement, and should greatly help the patients to lead a better and healthy life. For such extents, we authors like to propose a new hybrid approach that encompasses the functioning of Particle Swarm Optimization (PSO) and Improved Fuzzy C-Means (IFCM) through this paper. The technique recommended has tendered an elevation in the values of PSNR, TC and DOI, which most of the contemporary algorithms/techniques have failed to achieve, thus assisting the Doctors to have a profound idea regarding the prevalence of breast cancer and tumor.
Recognition and Location Estimation for Multiple Indoor Static Objects

Locating objects in an image is a very useful task for robotic navigation and visually impaired persons. The ultimate goal of my work is to position the recognized objects in the image. Objects are detected using Adaboost techniques and also recognized from the real-time images. Objects are detected using AdaBoost classifier. SIFT features are extracted from the objects found in the image and classified using Support Vector Machine, and the position of an objects are estimated. We proposed IOLE algorithm to estimate the location of object in an image.
Enhancing Financial Transactions using Blockchain Technology

Blockchain technology is evolving in each area. Cryptocurrency is one of the prominent fields in which blockchain technology is used extensively. In conventional bank systems using fiat currencies such as Indian rupee, US dollar etc , there is a centralized authority like a bank which do the processing of transactions. Blockchain with its properties like decentralization, distributed, and immutability stands the way out from other transaction processing mechanisms. Moreover, with decentralization property in blockchain-based transactions makes that there is a peer-to-peer network in which one peer can able to transact with others in the network without relying on third party for validating the transactions. Instead, there are a group of miners who does the work of validation with the use of consensus protocols. The paper shows the use of blockchain technology in financial transactions with the help of tokens. The paper shows the creation of a simulated blockchain network and the transaction processing mechanism with the help of the creation of nodes. This paper shows the implementation of blockchain technology and it also shows the limitations and misconceptions involved in blockchain technology.
Block chain Based Data Provenance in Supply chain

Blockchain technology as an infrastructure allows an innovational platform for a new transparent and decentralized transaction mechanism for different type of industries and businesses. Different attributes of blockchain technology increase trust through traceability and transparency ability of goods, data and financial resources within any transaction. Regardless of initial uncertainty about this technology, government and many major enterprises and firms have recently examined the adoption and improvement of this technology in several areas of applications, from social, legal and finance industries to manufacturing, design and supply-chain networks. An interesting research problem in this new era is that of determining provenance. At present, goods which are produced and transported using complicated medium supply chains, in this type of supply chain it is impossible to evaluate the provenance of physical goods. We have an interest in the blockchain as there are numerous favored use cases of blockchain especially for provenance tracking. In this paper we review the basics features of the blockchain along with its type like permission less and permissioned blockchain. Then discussed the need of provenance of assets in supplychain as it increase the trust of the customer and proposed a process and architecture for providing the data provenance in supply chain with blockchain using smart contract.
Development of Sequential Methodology for Understanding the Thin Clients

The improvement of postfix trees has assessed the area personality part, and current patterns recommend that the comprehension of the maker buyer issue will before long rise. Indeed, couple of steganographers would differ with the visualization of open private key sets, which encapsulates the strong standards of fake intelligence. Here we focus our endeavors on this demonstrating that e-business and item situated languages are for the most part contrary.
JPR volume 56 issue 3 Cover and Back matter

The Trustees of the Applied Probability Trust (APT) have much pleasure in announcing the names of the APT Prize winners for 2018.We offer them our warmest congratulations, and look forward to their pursuing further studies
Biosafety and Bioethics Are the Ground of Modern Biotechnologies Development

This article summarizes different points of view in the context of scientific discussion on biosafety and the legal regulation of biotechnology use by states. The legal regulation of biotechnology, as a rapidly developing branch of science, concerns, first and foremost, activities related to the development, use and transfer of technologies for the use of living organisms. The main purpose of this study is to verificate the need to develop a mechanism that, according to the authors, will be able to implement the state biosafety policy based on the development of certain standards by international organizations and that will serve as a platform for the formation of international biomedical law, through integration principles of bioethics into biomedical relations. Object. The object of research is the norms of international law in the sphere of international legal regulation of the use of modern biotechnology through the lens of bioethics. Material and methods. The methodological basis of the research is comparative legal, dialectical, historical legal, comparative, and other research methods. Results. As a result of the analysis of scientific sources and approaches to solving this problem, evidence of the need for a comprehensive study of the existing scientific array to highlight bioethics has been obtained, and therefore biosafety, as an independent scientific direction in the context of modern legal biotechnology research and as part of the national security of the state. Scientific novelty. The scientific novelty of this study consists in conducting comprehensive comparative analysis of the process of formation of legal norms for the protection of human rights. These norms are contained in existing international agreements on the development of biotechnology, from the point of bioethics as a component of state biosafety. Thus, the practical sphere of implementation of the results of this study is a modern international lawmaking process that must adequately reflect the most important aspects of the application of modern biotechnology by the states of the international community. These important aspects must form the basis of the international biomedical law and the Code of Bioethics. Moreover, the authors make no claims a comprehensive analysis of the problem posed in their work, since many important aspects need further study.
Predicts Chronic Diseases Using a Patient's Previous History

Early vicinity of preventable illnesses is crucial for better illness the administrators, progressed interventions, and logically gainful restorative administrations aid dispersion. Unique AI approachs were made to make use of statistics in digital health report for this errand. A variety of beyond undertakings, regardless, base on composed fields and loses the wonderful share of facts inside the unstructured notes. In this work we propose a trendy play out various undertakings framework for disorder beginning choice that joins both loose substance therapeutic notes and sorted out statistics. We take a gander at execution of modified sizeable mastering systems along with CNN, LSTM and unique leveled fashions. Rather than general substance based choice fashions, our gadget does not require sickness unequivocal factor fabricating, and might manage negations and numerical traits that exist in the substance. Our consequences on a buddy of around 1 million sufferers showcase that models the use of substance outmaneuver models the usage of simply composed statistics, and that fashions match for the usage of numerical characteristics and nullifications inside the substance, in spite of the hard substance, similarly improve execution. Furthermore, we take a gander at changed popularity strategies for therapeutic experts to decipher version conjectures.
CONCEPT PAPER: INTELLIGENT TRANSPORTATION SYSTEM FROM CRASH VICTIMS (ITS-CV)

Quick transportation of crash victims to the hospital is a critical parameter. The existing methodology of dispatch of ambulances by verbal reporting, dialing emergency helpline or computer aided dispatches can be further refined. The ITS-CV aims at bringing all ambulances on a common platform through a Artificial Intelligence operator which connects the crash site, the ambulances and the response hospitals or trauma centres and provides them with the shortest clear route or even creates a green corridor. The system can also cater to other natural or manmade calamities, or health emergencies.
Introduction

As stated by Mario Campolargo, European Commission, Belgium “Internet of Things (IoT) will boost the economy while improving our citizens’ life”. This indicates that an expansion of IoT services and products and application development will increase exponentially over coming years. IoT will play key role in smart living for every day-to-day activity. Mainly, IoT has become an integral part of every smart application which includes smart home, smart office, smart factory to smart city and smart country (Konomi and Roussos (eds) in Enriching urban spaces with ambient computing, the Internet of Things, and smart city design. IGI Global, 2016 [];Schaller and Mueller in Int J Ambient Comput Intell (IJACI) 1:75–85, 2009 []). There are many definitions of IoT available in the literature coined by leaders like European Commission, AutoID Labs, Cisco Systems and Tata Consultancy Services and are as follows (Mahalle and Railkar in Identity Management for Internet of Things. River Publishers, Wharton, TX, USA, 2015 []; Mahalle in Identity management framework for internet of things. PhD Dissertation: Aalborg University, Denmark, 2013 []): “From a network of interconnected computers to a network of interconnected objects”, European Commission “The basic idea of the IoT is that virtually every physical thing in this world can also become a computer that is connected to the Internet”, AutoID Labs “IoT is simply the point in time when more “things or objects” were connected to the Internet than people”, Cisco Systems “A world-wide network of interconnected objects uniquely addressable, based on standard communication protocol” Tata Consultancy Services.
A Characterization of the Annihilators of a Rough Semiring

In this paper, the annihilators of a Rough Semiring (T, Δ,) are defined. An equivalence relation is defined on these set of annihilator. It is proved that the set of classes induced by this equivalence relation on the set of annihilators forms a Boolean algebra.
Face Recognition based on CNN 2D-3D Reconstruction using Shape and Texture Vectors Combining

This study proposes a face recognition model using a combination of shape and texture vectors that are used to produce new face images on 2D-3D reconstruction images. The reconstruction process to produce 3D face images is carried out using the convolutional neural network (CNN) method on 2D face images. Merging shapes and textures vector is used to produce correlation points on new face images that have similarities to the initial image used. Principal Component Analysis (PCA) is used as a feature extraction method, for the classification method we use the Mahalanobis method. The results of the tests can produce a better recognition rate compared to face recognition testing using 2D images.
Water from Air

Chemistry & IndustryVolume 84, Issue 11 p. 27-29 Water Water from Air First published: 10 November 2020 https://doi.org/10.1002/cind.8411_8.xAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Volume84, Issue11November 2020Pages 27-29 RelatedInformation
Mouth Gesture Interface for VLC Media Player

This proposed work presents a frame work of mouth gesture recognition for Human Computer Interface (HCI). It replaces the traditional input devices such as mouse and keyboard which allows a user to work on a computer using his/her mouth gestures. This work is aimed at helping severely disabled and paralyzed people. The entire work includes mouth detection, region extraction, gesture classification, and interface creation with computer applications. Initially face and mouth regions are detected using Haar-cascaded classifier. Secondly, the gesture recognition is done using the concept of Deep learning through Convolutional Neural Network (CNN). The mouth gestures are recognized and classified as mouth close, mouth open, tongue left and tongue right. Finally an HCI is created by mapping the mouth gestures into VLC player operations such as play, pause, forward jump and backward jump. The performance of the proposed method is measured and compared with other existing methods. This work is found to perform better than the other methods.