Reviewerly/exHarmony huggingface dataset:
RABINDRANATH TAGORE AND SWAMI VIVEKANANDA’S PHILOSOPHY OF EDUCATION AND ITS RELEVANCE IN THE PRESENT SCENAREO

Abstact: Rabindranath Tagore and Swami Vivekananda are counted amongst the greatest educationist of the world. The philosophies of education propounded by them bear great importance to the whole humanity. They were well aware of the importance of education in modern India. They not only enlightened India but also the whole world by their outstanding personality. Rabindranath Tagore was an icon of Indian Culture. He was a poet, philosopher, musician, writer and educationist. From his own experience at school, he was convinced that the four walls of the classroom restricted the freedom of young children. The traditional school to him was like a prison house. According to him, “the highest education is that which does not merely give us information but make our life in harmony with all existence”. The present system of education does not allow us to cultivate the power of imagination. Our education system is joyless. Small children are burdened with tons of books. Tagore wrote, “From childhood to adolescence and again from adolescence to manhood, we are coolies of the goddess of leaning, carrying loads of words in our folded backs.” It has no relation to our life, the book we read have no vivid pictures of our homes and society. Swami Vivekananda was realized that tremendous emphasis on the scientific and mechanical way of life is fast reducing man to the status of machine. Moral and religious values are undermined and the fundamental principles of civilization are being ignored. Swami Vivekananda seeks the solution of all these social and global evils through education. Swami Vivekananda in his scheme of education meticulously includes all those studied which are necessary for all round development of the body, mind and soul of the individual. According to him the cultural values of the country should form an integral part of the curriculum of education.
Usability Study on a New Assembly of 3D Interactive Gestures for Human–Computer Interaction

In 3D gesture interaction, people engage in contactless interaction with computers through arm and palm movements. The aim of this study was to develop and verify a reasonable evaluation scheme for 3D gesture usability through empirical methods and finally form an efficient, natural, and standard gesture library for 3D interaction. Two experiments were performed. In the first experiment, an evaluation scheme for 3D gestures with different weighted indexes of usability was developed, and then the ratings of the usability dimensions of 30 gestures within 10 operations in the 3D interaction were compared with one another. The purpose of this comparison was to summarize a set of 3D gestures with the highest usability. In the second experiment, the validity of the gesture set acquired in the first experiment was verified by comparing the usability differences between the high- and low-rated 3D gestures. An optimal set of 3D gestures was obtained by comparing the usability ratings of the different gestures and then verifying the superiority of the operation performance and users’ satisfaction of this 3D gesture set in a real operation task.
4.1 The Future Has Already Begun: Origin, Classification, and Applications of Altmetrics in Scholarly Communication

Does bibliometrics still adequately capture the impact of scientific publications? New sources have been established in which scientific communication also takes place. Are these sources capable of generating a faster and more comprehensive picture of scientific output? This article presents the aim, methods and possibilities of altmetrics and puts it into a context of bibliometrics and foresight related processes.
Introduction of New Innovative Technologies to the Emergency Warning System in the Analysis of International Experience

At the same time that emergencies are becoming a global problem, the International experience is gaining experience in introducing new innovative technologies into the emergency alert system and in mitigating the damage caused by emergencies.
NECOS: An annotated corpus to identify constructive news comments in Spanish

espanolEn este articulo presentamos un corpus de noticias y comentarios en espanol (NECOS). Estas noticias estan publicadas en el periodico El Mundo en un periodo comprendido entre el 3 de abril y el 30 de abril de 2018. El corpus contiene un total de 10 noticias y 1.419 comentarios. Siguiendo un esquema de anotacion, tres anotadores etiquetaron manualmente los comentarios como constructivos y no constructivos obteniendo un promedio de 78,97 usando el coeficiente de kappa de Cohen. En este estudio nos centramos en estudiar la constructividad y hacer la evaluacion del corpus NECOS. Para abordar este objetivo, proponemos la experimentacion con diferentes sistemas basados en Procesamiento del Lenguaje Natural usando aprendizaje automatico: un clasificador tradicional y metodos recientes basados en Transformers. Concretamente, comparamos modelos multilingues con un modelo monolingue entrenado para el espanol. Con ello, pretendemos demostrar la importancia de crear recursos entrenados para un idioma en particular. El modelo monolingue evaluado en NECOS obtiene el mejor resultado alcanzando un 77,24% de macro-average F1. EnglishIn this paper, we present the NEws and COmments in Spanish (NECOS) corpus, a collection of Spanish comments posted in response to newspaper articles. Following a robust annotation scheme, three annotators labeled the comments as constructive and non-constructive. The articles were published in the newspaper El Mundo between April 3rd and April 30th, 2018. The corpus is composed of a total of 10 news articles and 1,419 comments. Three annotators manually labeled NECOS with an average Cohen's kappa of 78.97. Our current focus is the study of constructiveness and the evaluation of the Spanish NECOS corpus. In order to address this goal, we propose a benchmark testing different machine learning systems based on Natural Language Processing: a traditional system and the novel Transformer-based models. Specifically, we compare multilingual models with a monolingual model trained on Spanish in order to highlight the need to create resources trained on a specific language. The monolingual model fine-tuning on NECOS obtain the best result by achieving a macro-average F1 score of 77.24%.
Categorization of Factors Affecting Classification Algorithms Selection

A lot of classification algorithms are available in the area of data mining for solving the same kind of problem with a little guidance for recommending the most appropriate algorithm to use which gives best results for the dataset at hand. As a way of optimizing the chances of recommending the most appropriate classification algorithm for a dataset, this paper focuses on the different factors considered by data miners and researchers in different studies when selecting the classification algorithms that will yield desired knowledge for the dataset at hand. The paper divided the factors affecting classification algorithms recommendation into business and technical factors. The technical factors proposed are measurable and can be exploited by recommendation software tools.
LibGuides: *Visitors' guide to the GTU library*: Your library account

The GTU library offers a wide range of services to the community. Learn more about getting a card and using the GTU library here!
Development of Analysis Technology for Geological Resource Spatial Data Service Extension Technology

The paper aims to address the conversion of geospatial data into a unified data form through the data preprocessing such as linking spatial information services, validation and refining techniques of spatial information. Also the expansion of the service by generating spatial information data in standard formats such as Shape, GeoJSON, WKT and KML using the results generated by the data preprocessing process.
Fuzzy logic algorithm and analytic network process (ANP) for boarding houses searching recommendations

Finding a boarding house is usually done manually or by visiting the boarding house in person. Several choices of boarding houses make boarding house seekers have to make choices according to the desired criteria, so it takes quite a long time. A decision support system is a system that can be used to help make decisions based on existing criteria for determining several alternatives to be selected. The methods used in this research are the Analytic Network Process (ANP) and the Fuzzy Logic method. This study employed several criteria in providing recommendations, including distance, price, facilities, security, number of spaces, parking space and convenience. The weighting of these criteria used the fuzzy logic method based on the priority scale determined by the boarding house seekers. This system has provided a recommendation for boarding houses based on the results of the calculation process using the ANP method and weighting using fuzzy logic. The result of calculations shows that the highest value was obtained by Munawar kos (boarding house) with a value of 6.55% and followed by Diding kos with a value of 6.52%.
Deep Learning Approaches Face Analysis

Deep learning has shown impressive performances in many problems of artificial intelligence including face analysis which has been a challenging task in computer vision for decades. Face analysis has various application areas such as video surveillance, human-computer interaction and driver fatigue detection. In this talk, I will give a brief overview of deep learning approaches in face analysis. After detecting the face regions in an input image the first step is to pre-process those regions for the subsequent stages. Although the pre-processing operations differ based on the application of analysis I will be focusing on the deep learning methods developed for face alignment, pose estimation, face formalization and face super-resolution problems. Other subjects in the talk are related to face attribute estimation, face expression and emotion analysis and face recognition. Face attributes include age, gender and other attributes such as glass/no glass and beard/no beard. In facial expression/emotion analysis I will discuss the methods in recognition of prototypical facial expressions, i.e. anger, disgust, fear, happiness, sadness and surprise in addition to facial action units. The face recognition part of the talk covers both the identification and verification problems. The talk will focus on state-of-the-art deep learning studies in each face analysis problem after grouping the main approaches. Finally I conclude my talk with the challenges and future works on face analysis.
THE EFECT OF CLASSROOM INTERACTION IN IMPROVING STUDENTS’ SPEAKING SKILL

The objective of this study was to find out the significant difference before and after the students being treated by classroom interaction strategy in speaking class. The researcher used quantitative method and preexperimental design to analyze research problem. This study was conducted to the second grade students of SMAN 6 Garut on 21th July until 5th August 2016. The data were collected through a speaking test, the test was consists of expressed argumentative text. Firstly, students had to express their opinions about the phenomenon surrounding without being given treatment. In this test, the researcher gave the topic about social media. Secondly, the students expressed their opinions after treatment. The treatment was the researcher teach the students how to expressing opinion, asking other people’s opinion and saying agreement. The test was given to measure the students’ speaking skill after treatment. The researcher investigated the data and collected the score pre-test and post-test based on the scoring system. In analyzing the data, the researcher calculated the data used t-test, the researcher checked the normality of the data using Liliefors test to find out whether the distribution of data was normal, and so the researcher used t-test to clarify whether or not his hypothesis is accepted. The research findings showed that was a difference before and after the students being treated classroom interaction in speaking class. The result of the data showed that = 8,374 was greater than = 2,924. It proved that the result of post-test was better than the result of pre-test. In order to find out the significance of the improvement between pre-test and post-test, t-test was applied. After having the test of significance, the result of pre-test showed that the average score of pre-test was 67. Whereas, the averages score of post-test were 73. From the data showed, the result of the post-test in speaking test was better than the result of pre-test. From the result, it could be concluded that there are the significance of the improvement from pretest and post-test
LibGuides: Citation Search: article Citation Search

Conduct a search to determine if the library owns or has subscription access to a article or ebook.
A comparison of obstacle dependant Gaussian and hybrid potential field methods for collision avoidance in multi-agent systems

In this paper collision avoidance methods - the velocity obstacle, obstacle dependant Gaussian potential field and hybrid potential field methods, are compared and tested on multiagent systems. Extensive evaluation is presented with a number of case studies with a different number of agents, with static and dynamic and obstacles. The advantages and disadvantagesof each method are discussed. The optimisation of the static and dynamic coefficients of the hybrid potential field method is performed via a genetic algorithm. The results from the tests are from 1000 independent runs and show that the hybrid potential field method can avoid reliably collisions in multi-agent systems.
Cryptography Application to Message Text using the Android-Based RC4 Method

A text message or is an action or activity in the form of chat, but what is different is that the uses the latest application, be it a gadget or other media. Etymologically, the word chat comes from English which in Indonesian means chat, converse, chat, or kongko. But security is still not sufficient, where other people can see the original message of the original text of the chat, by applying cryptography to messages, the will be safe from other parties. Android is also designed to make it easier for developers to create applications with minimal restrictions so that developer creativity can be more developed. Therefore we need security that can secure messages or in order to help someone's privacy in carrying out daily activities. Cryptography is an art of encryption to keep messages from being easily read or so-called secret messages. There are two main concepts, namely encryption, and decryption. Encryption is the process by which the information sent is converted into a form that is not recognized as the initial information by using a certain algorithm. Decryption is the opposite of encryption in that it converts the disguised form back into the original information. In cryptography, there are several methods following its use, one of which is RC4. Rivest Code 4 (RC4) is a type of code stream which means that the encryption operation is performed per 1 byte character for one operation. Using the Rivest Code 4 (RC4) method is the best way to secure data by changing some characters which will be difficult to hack later by those who want to commit fraud.
LibGuides: Test Preparation Materials: Accuplacer

A guide to the test preparation materials available in the OHS Library, Frederick County Public Libraries, and online.
Middleware Architecture - History and Adaptation with IEEE 802.11

Communication, which intends to provide a link between any two people, is now moving towards man-to-machine and machine-to-machine connection for transferring different types of data. This transmission scenario, with and ever expanding number of active and passive users, lays the foundation to variety of communication protocols owing to the different types of data which is involved in the process. Within this ever expanding communication arena, Middle-ware can be thought of as a set of hardware and software which is used to connect different platforms with the end-users that are increasing in number day-by-day, with a possible wide spread over any region spanning from few meters to several kilometers. IEEE 802.11 is the set of standards which guides the wireless technology for device implementation and demands seamless integration across the entire protocol stack. This in turn demands an overview of the middleware architecture in broader perspective. This chapter explores the concept of middleware in the existing communication scenario, current trends and future scope.
Computer science, computer, computational complexity

This article is based on a report made by V. N. Chubarikov at the International Scientific and Practical Conference of Education — 2020 in the city of Orel, October 26–30, 2020. The conference was dedicated to the 115th anniversary of the birth of Patriarch of Russian education, the great teacher, and mathematician, academician S. M. Nikol’skii (1905- 2012 gg.). The event was organized by the Academy of education Informatization and Orel state University. I. S. Turgenev, with the financial support of RFBR. The article deals with various aspects of the informatization of society, primarily from the point of view of mathematicians and scientists associated with various areas of use of computer technology and computer technology. The following questions are briefly discussed: 1. Programming — the basis of computer science; 2. Models of computing systems, computers, programming languages; 3. Artificial Intelligence systems; 4. What is TeX and LaTeX? 5. Computational complexity; 6. Search for computer science literature; 7. Albert Rubenovich Yesayan Scientific School and Computer Science at the Tolstoy State Pedagogical University. The article is dedicated to the memory of the outstanding mathematician and teacher, Professor Albert Rubenovich Yesayan. 50 years of his work at the Tula State Pedagogical University named after L. N. Tolstoy were devoted to the introduction of advanced approaches in the field of teaching mathematics into the pedagogical process of training teachers of mathematics and computer science. He made a significant contribution to the development of practical approaches to the teaching of computer science in pedagogical universities.
APPLICATION AND CHALLENGES TO ANALYSIS OF HUMAN ACTION AND ACTIVITY FOR BEHAVIOR UNDERSTANDING USING COMPUTER VISION TECHNIQUE

Human Activity/Action Recognition (HRA) attract many researcher all over the globe due to its wide range of application. To understand human behavior through computer or machine recognition human action and activity properly to classify and feature extraction to derive conclusion what action has been done to carried particular activity which assist better understand HBA .The prime challenges for HRA Intra class variation and Inter class, Recognition under Real-World Settings has interpreted. The proposed framework to understand action and activity from video has been discussed.
LibGuides: Students' Right to Read and Intellectual Freedom: Banned Books Week

This guide offers information about students' right to read and intellectual freedoms and how to self-advocate for those rights.
Implementation of Case Based Reasoning and Forward Chaining Algorithm to Diagnose Brocoly Plant Disease

Doing a broccoli crop farming business is very promising, but there is little knowledge that farmers and the community have about the types of broccoli plant diseases that often attack these plants. By utilizing an expert system, which is able to make a rapid, precise, and accurate diagnosis of the symptoms caused, it is hoped that it will be able to help farmers in anticipating losses caused by disease attacks. Using the Forward Chaining method to determine conclusions starting from a set of facts by looking for rules that match the allegations, and using the Case Based Reasoning method that can solve new case problems by looking for similarity values on a case basis. From the sample cases taken are three symptoms of black rot disease, three symptoms of clubroot, and three symptoms of powdery mildew. Produces a value of 81.81% for black rot, then the system will provide a solution for the disease.Keyword: Broccoli Plant Diseases , Case Based Reasonin, Forward Chaining, Expert System.
Sparsely connected asynchronous reservoir computing network

In order to solve the reservoir computing networkconstruction problem, a sparsely connected asynchronous neuronreservoir construction method is proposed. The method connectsseveral sub-reservoirs sequentially and sets lag links amongsub-reservoirs in order to handle input signals asynchronously insub-reservoirs, and further constitutes serial memory. In order toachieve efficient information transmission, sparse connections areused among sub-reservoirs. Experimental results show that theproposed method can effectively improve the memory capacity ofreservoir and it is easy to deal with long-term dependence problems.In addition, the proposed structure makes the reservoir produce moreabundant dynamic behavior and has better robustness to the initialparameters.
The Effect of High Performance Computer on Deep Neural Network

In recent years, convolutional neural networks (CNNs) have been extended widely to a large number of computer vision applications such as image classification, image detection, image segmentation, etc.In this paper, the three image processing applications are implemented by integrating with CNNs and the high performance computing (HPC) systems.To observe the performance of HPC, three CNN models for each image processing application have been trained with different values of parameters and their training times are provided in results.Four computing systems, Google collaboratory with central processing unit (CPU), Google collaboratory with graphics processing unit (GPU), Google Cloud with HPC, and The extreme science and engineering discovery environment (XSEDE) with HPC are compared in the work.The training program is suggested to use the parallel algorithm when GPU is available.This project explores that the HPC with GPU has the highest work efficiency regarding operating time.
Arduino Based Pick and Place Robotic Arm

By the yesteryears experiences and seeing the future scopes, there are many domains and areas where robotic manipulators are finding their scopes for deployment, thus achieving required precision. Frequent picking and placing action is a repetitive action where picking and placing robotic vehicles can be used, in manufacturing and many other industries. Along with lot of industrial application robotic vehicles also find their applications in many other domains like safety and surveillance in difficult terrain surfaces where human personal intervention is difficult, but process has to be operated in controlled manner. Our project primarily focuses on implementation of pick and place robot on four wheeled drive vehicle for making it compatible for both Industrial and Non Industrial tasks. The robotic arm implemented has with Flex Sensor. As a modular design, changes can be made in robotic arm and end gripper as per required applications.