Reviewerly/exHarmony huggingface dataset:
Finding a Research Problem is a Really Big Problem in Traditional Universities and Academic Institutions

Our Indian constitution provides the equality of education for everyone in the fundamental rights and duties.An affectionate student-guide (supervisor) relation permits cooperative and understanding communication.The students should be encouraged for wildlife biologists and researchers to carry out research and conservation activities on flora and fauna by direct and small research funding/ grants for their works.A coordination of satisfying the candidates for performing original work on basic science, then
Age Group Estimation Model using K-Nearest Neighborhood

Age estimation labels exact real age or age group for a given face image. How to recognise the face of a human depends upon the age invariant features and patterns. After finding out the aging patterns, the researchers are in investigation to find out in what way we can characterise the aging of a face to get accurate performance. We can estimate the age through multi class classification or regression or a combination of both classification and regression. In our paper we are classifying, predicting and evaluating our proposed aging pattern algorithm to estimate the age. The brief process is first we split the data in to two subsets i.e. training data and test data by using stratified cross validation method. By using training data and test data we are classifying or predicting the age group using K-neighbourhood method and evaluation measures are considered by using confusion matrix. The Classification and Evaluation of Age estimation models results us to find out the best estimation model for different types of datasets which are used in different applications like biometric, law enforcement, and security control and human-computer interaction.
Real Time Facial Expression Recognition using Convolution Neural Network Algorithm

The most expressive way human beings display emotions is through facial expressions. The task of detecting facial expression of a human being via a computer is a very complex process due to its variability present across human faces including color, expression, position, and orientation. The aim of this paper is to presents a Convolution Neural Network (CNN) architecture for real-time facial expression recognition. We have used ICML 2013 Facial Expression Recognition Challenge dataset for this study and then trained our neural network for emotion state classification. In this study, we achieved accuracy of 84.18% and validation accuracy of 67.56% for classification of seven different emotions through facial expressions.
Special issue: 17th LATIN AMERICAN SYMPOSIUM ON MATHEMATICAL LOGIC (LASML 2017/SLALM 2017 in Spanish)

Special issue: 17th LATIN AMERICAN SYMPOSIUM ON MATHEMATICAL LOGIC (LASML 2017/SLALM 2017 in Spanish) Logic Journal of the IGPL, Volume 28, Issue 6, December 2020, Pages 1073–1076, https://doi.org/10.1093/jigpal/jzaa018 Published: 20 November 2020 Article history Received: 12 July 2019 Revision received: 04 December 2019 Accepted: 06 January 2020 Published: 20 November 2020
Distillation Fiber-Optic Cables and Journaling Dossier Systems

Internet QoS [24, 45] and journaling file sys- tems, while unfortunate in theory, have not until recently been considered extensive. After years of robust research into expert systems [3], we argue the visualization of evolutionary programming, which embodies the confusing principles of cryptoanalysis. We construct an analysis of I/O automata, which we call KopJeer
The Fault Detection Technology Study for Information Push in OMS System Based On Big Data Analysis

Aiming at the problems existing in the process of OMS information push, this paper studies the key technology of OMS information push fault detection in large data environment, so as to diagnose and analyze the reliability of OMS information push comprehensively and objectively, estimate the loss caused by power supply interruption to users, and analyze the causes of power cut accidents. At the same time, it is necessary to make full use of the real-time data accumulated by the power grid management system to scientifically construct the fault detection criterion, diagnosis model, exponential model and analysis model of MS system information push, so as to realize the on-line diagnosis and analysis of OMS system, so as to reasonably estimate and evaluate various types of OMS system information push. The basic causes of power failure are analyzed, and the optimal allocation measures of emergency power supply are adopted.
Research on Preprocessing of Rectal Pressure Signal Based on WPT-ICA and EMD-ICA

Comprehensive diagnosis of rectal function after low rectal resection, which will ultimately help patients recover, is an essential issue in the field of anorectal research. One of the medical methods to evaluate rectal function is anorectal pressure measurement. However, since the collected signals are usually one-dimensional sequences accompanied by much noise, it is crucial to preprocess the rectal pressure signals. This paper proposes rectal pressure signal preprocessing algorithms based on WPT-ICA and EMD-ICA, which constructs virtual multi-channels by decomposing the original signals, and uses independent component analysis to perform blind source separation of multi-channel signals, and uses correlation coefficient as the indicator to realize the preprocessing of rectal pressure signals. Many simulation experiments show that the correlation coefficient of the two algorithms can reach more than 0.99, and the experiment using laboratory real rectal pressure data has preliminarily verified the effectiveness of the algorithms.
University Teaching Technology

In modern conditions, the importance of methodological culture of a teacher is increasing. First of all, this is due to the peculiarities of the historical moment experienced by human society. Its content is the transition to the information society. Of course, such global phenomena have a powerful impact on society, its educational system and research methodology. Many researchers believe that the completion of the next phase of social development entails the development of crisis phenomena in education and science. Moreover, the key to successful teaching in these conditions can be a high level of methodological culture of a teacher.
Cost-effective product prioritisation technique for software product line testing

Software product line testing (SPLT) is a tedious task due to the generation of large number of products. Products testing sequence plays a significant role so that the testing resources could not be exhausted until all the products are tested. This problem can be overcome using the test case prioritisation (TCP) techniques. Many TCP techniques have been proposed to test SPL products in order, but they have not focused on product cost. The product with the highest cost should be tested first, because testing resources should not be exhausted to reach the main product with higher cost. In this paper, a cost-effective product prioritisation technique for SPLT is proposed in which products are prioritised on the basis of products cost. The rigorous evaluation results show that cost-effective prioritisation order is better than random order and similarity-based order.
Fully Convolutional Network with Intermediate Reservation for Insulator Segmentation

Insulator state detection is a challenging problem for facilitating the process of inspecting in power transmission system.Nowadays, intense interest in applying convolution neural networks in image analysis is wide spread, its success is impeded by the limitation of the depth of the network and is also dependent on how to improve the information propagation and how to make full use of all the hierarchical features.To address these problems, this paper proposed a novel framework, called as the Fully Convolutional Network with Intermediate Reservation (FIR-Net), for insulator segmentation.In this framework, Intermediate Reservation has been adopted to solve the problem of gradients disappearance.The Intermediate Reservation reserves and fuses the intermediate loss of different layers, so as to improve the propagation of the network.Overall, this framework effectively propagates features both on the shallow layers and the deep layers, and increase the information diversity for insulator segmentation.By evaluating the proposed framework, it has achieved the good performance on the dataset provided by STATE GRID Corporation of China.This work is one of the early attempts of employing the idea of Intermediate Reservation on insulator segmentation.
Assistência de enfermagem na Esclerose Múltipla/ Nursing care in multiple sclerosis

The Multiple sclerosis is a CNS deminealinizing disease, invasive that causes calcifications in the CNS that, by sequence, cause scarring in the CNS.These scars provide physical and cognitive disabilities as the disease progresses.In disease processes such as multiple sclerosis, the role of the nurse is important in order to be able to measure the patient's problems and thus help him / her to face the disabilities inherent to the disease.The aim of this study was to discuss the role of nursing in the quality of life of patients with multiple sclerosis, in order to promote their well-being and comfort; to identify factors that can help the person with MS in coping with the disease; talk about nursing care for patients with MS in search of improving quality of life.This is an integrative literature review, carried out between the months of September 2020 and May 2021, where 14 samples were collected, published between the years 2015 to 2020.Nursing care is essential to help improve the quality of life.well-being of the carrier of MS.Awareness about the stages of the disease and an understanding of the main conditions, such as depression and neuromuscular damage, are the main tools for a good provision of nursing care, because knowing the problems we can understand how we should act and improve the quality of care.life and adherence to treatment by the MS patient.
Cross Language Information Retrieval (CLIR): A Survey of Approaches for Exploring Web Across Languages

In the era of globalization, internet being accessible and affordable has gained huge popularity and is widely being used almost everywhere by Government, private organizations, companies, banks, etc. as well as by individuals. It has empowered its users to contribute to the creation of information on web enabling them to use their native languages which consequently has drastically increased the volume of web-accessible documents available in languages other than English. This exponential growth of information on the internet has also induced several challenges before the information retrieval systems. Most of the present monolingual information retrieval systems can retrieve documents in the language of query only, missing the information in other languages that may be more relevant to the user. The need of information retrieval systems to become multilingual has given rise to the research in Cross Language Information Retrieval (CLIR) which can cross the language barriers and retrieve more relevant results from documents in different languages. This article is a review of motivation, issues, work and challenges related to various CLIR approaches. Starting with the most fundamental approaches of translation, it is attempted to study and present a review of more advanced approaches for enhancing the retrieval results in CLIR proposed by various researchers working in this domain.
Database Troubleshooting

Database troubleshooting is a vague and general term that is applied to a wide variety of topics. It can mean anything from investigating database connectivity issues to detailed performance tuning. In this chapter, the following troubleshooting activities will be covered:
VWT subsidiary supplies SWTI system for use on FPSO

Yinson, a Malaysia-based provider of floating, production, storage and offloading (FPSO) services, recently awarded a contract to Veolia Water Technologies (VWT) – through its subsidiary VWS Westgarth Ltd – covering the supply of a sea-water treatment and injection (SWTI) system for the Anna Nery FPSO.
Trust establishment between OAuth 2.0 resource servers using claims-based authorisation

The OAuth 2.0 authorisation framework is one of the most commonly used authorisation frameworks. In its specification, many implementation details are loosely defined including the relationship between resource servers and authorisation servers. This paper presents an approach for establishing trust between servers by using the authorisation server as a broker, and examines an implementation for secure exchange of scholarship information between parties. To specify access rights, claims such as roles and capabilities are assigned to resource servers. These claims are asserted by the authorisation server in the form of access tokens. Instead of relying on shared databases, the issued access tokens are used to exchange messages between resource servers. This approach is useful in scenarios where applications have no shared infrastructure or are implemented by different parties.
Covert channel implementation using motion vectors over H.264 compression

Embedding information inside video streaming is a hot topic in the world of video broadcasting. Information assimilation can be used for positive purposes, such as copyright protection. On the other hand, it can be used for malicious purposes such as a hostile takeover, remotely, on end-user devices. The basic idea of information assimilation technology within a video is to take advantage of the sequence of frames that flows between the video server and the viewer. Casting foreigner data into each frame such a hidden communication channel is created namely - covert channel. Attackers find the multimedia world in general and video streaming, an attractive backdoor for cyber-attacks. Multimedia covert channels provide reasonable bandwidth and long-lasting transmission streams, suitable for planting malicious information and therefore used as an exploit alternative. In this article, we propose a method to protect against attacks that use video payload for transferring confidential data using a covert channel. This work is part of a large-scale study of video attack methods. The goal of the study is to build a generic platform that will investigate the reliability of video sequences. The platform allows to encoding and decoding video. A plugin can be added to each encoder or decoder. Each plugin is an algorithm that is studied and developed in the framework of this study. One of the algorithms in this platform is information transmission over video using motion vectors. This method is the topic off this article.
Learnart : Drawing Environment using Convolutional Neural Networks

Simulating human consciousness and emotions is still the realm of science fiction. The future of neural networks will not exist in tasks to simulate realization. Nowadays, further learning is based on training the machine to recognize the target that might be image or words using datasets. The project is based on convolutional neural networks and weak artificial intelligence. It uses Back Propagation algorithm. It acts as a smart drawing platform for children. Predefined datasets will be framed when it is developed so that users cannot alter it. Users will be the one who draw and checks its efficiency. Suggestion will be displayed if it is right or wrong. The drawings will be shapes and real time objects. The platform gets trained by all these datasets and recognizes the object. The drawing is stored as pixels pattern and checks with the previous data and finds how much percentage does the current drawing is matching with the previous drawings. By the help of this application, children can develop basic single object drawing
Cracking Deepfakes

Throughout this book we have considered numerous strategies for generating content that will match the reality we know or perhaps even surpass it. While most of that time has been spent exploring the realm of faces and creating realistic faces, the same techniques can be applied to any other domain as we see fit. However, it is perhaps being able to generate realistic faces that is the most frightening to so many.
Credit Value and Attribute Based Access Control Mechanism for Cloud Data Centres

Now-a-days the cloud is very useful for providing many IT services. These services are delivered over the internet and accessed globally with the help of internet. The cloud service provider ensures flexibility in provisioning and scaling of resources. The cloud services are completely managed by cloud service provider (CSP), which ensures the end to end availability, reliability and security of the cloud resources. The exponential growth of cloud services has provided many opportunities but has also perplexed severe security concerns. The popularity of cloud service based applications is rapidly increasing due to which many security and legal issues are arising. In this paper we describe the existing access control method and framework for securing cloud services. The concept of modified reputation and attribute based access control system has been discussed. In this approach the concept of crowd reviewing has been used to compute the credit value of users. The simulation experiment has been shown to protect the consistent users and to restrict the access of inconsistent users in cloud environment. It is an access control approach to mitigate the challenges in security concerns. This access control mechanism is helpful for cloud application services, which automatically restrict the malicious users from the access of resources. It is also helpful in authorization of users to access the cloud resources.
An Optimized Key Scheduling Algorithm for CAST -128 using dynamic substitution S-box

An optimized key scheduling algorithm for the 64-bit block cipher CAST-128 by using dynamically substituting of S-box. In this regard, an attempt has been made to modify key scheduling algorithm for generating subkeys of a secret-key block cipher which is CAST-128 algorithm so as to enhance performance by modifying the generation of subkeys using dynamic substitution of S-box. The CAST-128 uses four static substitution of S-box to generate subkeys, where as the proposed structure generates subkeys using substitution of S-box dynamically to provides the performance of CAST-128. The approach considers different security aspects and metrics evaluation for verification.
Test Appraisal System Application Based on YII Framework as Media Input Student Value Final Project and Thesis Session at Higher Education

System development is a form of effort to improve the quality of the system to be more innovative. Raharja College is a college of computer science that has many systems to support its academic activities. At Raharja College there is a Thesis Session Assessment and Final Assignment system which makes it easy for lecturers as a media to provide a thesis trial or final assignment assessment. The Testing Assessment System is very important in the process of running a thesis trial or final assignment, because it makes it easier for lecturers to provide an assessment of the results of student thesis research. However, in the current assessment system, the testers have problems, which are still using local networks, which of course still use UTP cables as their connector. by online. In the development of the scoring system these testers use the method of swot analysis and elicitation. And use one of the PHP Framework, Yii Framework.
Message from the Editor-in-Chief and from the Associate Editor-in-Chief

Welcome to the December 2020 issue of the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">IEEE Transactions on Visualization and Computer Graphics (TVCG)</i> . This issue contains selected papers accepted at the IEEE International Symposium on Mixed and Augmented Reality (ISMAR). The conference was scheduled to take place in Recife, Porto de Galinhas (Brazil) but was moved to a virtual event due to the global coronavirus pandemic. This virtual conference took place from November 9-13, 2020.
Weather typing SDM

This study aims at evaluating assumptions of a weather typing (WT) based statistical downscaling method (SDM) for precipitation and river peak flows in Belgium.The results of such studies provide an assessment of end user needs in choosing a right downscaling methods out of many available methods in terms of the cons and pros of each method and the intended use of the results.However, the current study for uncovering the shortcomings of a downscaling method has several serious shortcomings itself as listed below: Validity of the studyThe results of this study showed that the synoptic changes (WT occurrence changes)
Best Paper Selection

Jin Q, Tan C, Chen M, Liu X, Huang S. Predicting clinical trial results by implicit evidence integration. https://arxiv.org/abs/2010.05639 Poerner N, Waltinger U, Schütze H. Inexpensive Domain Adaptation of Pre-trained Language Models: Case Studies on Biomedical NER and Covid-19 QA. https://arxiv.org/abs/2004.03354 Ive J, Viani N, Kam J, Yin L, Verma S, Puntis S, Cardinal R, Roberts A, Stewart R, Velupillai S. Generation and evaluation of artificial mental health records for Natural Language Processing. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7224173/
Industry 4.0 and Its Effects on the Insurance Sector

Industry 4.0 defines the fourth industrial revolution, a new level in the organization and management of products and production systems. This cycle consists of services that include the entire chain, including individualized customer requests, product development, production order, distribution, and recycling to the end user. One of the most important preconditions for the realization of the Industry 4.0 revolution is that companies have completed their digital transformations. New technologies and digitalization have brought a new understanding of insurance. Insurance companies are focused on four areas such as big data, artificial intelligence, internet of objects, and blockchain in the changing world. With the changing habits of consumers in their daily lives, new generation insurance needs emerged. The introduction of a new era shaped by the insurance industry with new products, services, competitors, and customer expectations will have various effects. This chapter describes how Industry 4.0 transforms the insurance sector.
Introduction of Geoinformatics Researches at Stamford University Bangladesh

There is also a Japanese Language Centre.Number of current students are more than 12,000 and faculty members are about 300.Its programs are run through
Internet of Things Enabled Inclusive Business Model for Indian Agriculture

Indian agriculture need to be revamped due to its low productivity. Indian farmers mostly involved in age-old manual agricultural practices and irrigation systems. farming is highly unorganized and fragmented and the productivity is low, Government subsidies and other support are not sufficient to fulfill the gap. Corporates with their strong financial background can formulate a model with the government support to use smart agricultural devices and its integration with information technology. This paper presents the conceptual model to support the farmers in their agricultural practices to provide better livelihood