Reviewerly/exHarmony huggingface dataset:
Load Balancing Model using Elastic Technique in Cloud Computing

A structural design in which virtual machines are implicated and connect to the cloud service provider is called cloud computing. On the behalf of the users, the virtual machines connect to the cloud service provider. The uncertainties overload the virtual machines. The genetic algorithm is implemented for the migration of virtual machine in the earlier study. The genetic algorithm is low depicts latency within the network is high at the time of virtual machine migration. The genetic algorithm is implemented for virtual machine migration in this study. The proposed algorithm is applied in MATLAB in this work. The obtained results are compared with the results of earlier algorithm. Various parameters like latency, bandwidth consumption, and space utilization are used to analyze the achieved results.
Numerical Simulation of Free Convection in a Three-Dimensional Enclosure Full of Nanofluid with the Existence a Magnetic Field

Blood glucose automatic regulation achievement depends on the robustness of the used control algorithm. However, some constraints were encountered due to the human glucose-insulin regulatory system’s complexity. It is proposed to tackle such a goal through the development of a robust synergetic control algorithm. An adaptive approach is integrated into this synergetic control scheme to handle disturbances and parameters variations. Multiple meal disturbances often occur daily as well as some other stochastic noises making efficient glucose regulation a tough challenge addressed in this paper via a new synergetic scheme. Simulation results show a robust function during multiple meal disturbances with good noise rejection.
ntelligent Estimation of Social Media Sentimental Features using Deep Learning with Natural Language Processing Strategies

In this digital world, experience sharing, knowledge exploration, taught posting and other related social exploitations are common to every individual as well as social media/network such as Face Book, Twitter, etc plays a vital role in such kinds of activities. In general, many social network based sentimental feature extraction details and logics are available as well as many researchers work on that domain for last few years. But all those research specification are narrowed in the sense of building a way for estimating the opinions and sentiments with respect to the tweets and posts the user raised on the social network or any other related web interfacing medium. Many social network schemes provides an ability to the users to push the voice tweets and voice messages, so that the voice messages may contain some harmful as well as normal and important contents. In this paper, a new methodology is designed called Intensive Deep Learning based Voice Estimation Principle (IDLVEP), in which it is used to identify the voice message content and extract the features based on the Natural Language Processing (NLP) logic. The association of such Deep Learning and Natural Language Processing provides an efficient approach to build the powerful data processing model to identify the sentimental features from the social networking medium. This hybrid logic provides support for both text based and voice based tweet sentimental feature estimations. The Natural Language Processing principles assists the proposed approach of IDLVEP to extracts the voice content from the input message and provides a raw text content, based on that the deep learning principles classify the messages with respect to the estimation of harmful or normal tweets. The tweets raised by the user are initially sub-divided into two categories such as voice tweets and text tweets. The voice tweets will be taken care by the NLP principles and the text enabled tweets will be handled by means of deep learning principles, in which the voice tweets are also extracted and taken care by the deep learning principle only. The social network has two different faces such as provides support to developments as well as the same it provides a way to access that for harmful things. So, that this approach of IDLVEP identifies the harmful contents from the user tweets and remove that in an intelligent manner by using the proposed approach classification strategies. This paper concentrates on identifying the sentimental features from the user tweets and provides the harm free social network environment to the society.
ANALISIS KESALAHAN BERBAHASA BERITA PADA WEBSITE RESMI DINAS PENDIDIKAN KOTA SURABAYA

Surabaya Education Office’s Official Website is directly managed by IT staff of SurabayaEducation Office’s. As a government institution under the Ministry of Education and Culture,it is proper that this agency implements a good and correct language. No exception to thelanguage of journalistic variety used in the official website. Therefore, the official website ofthe Surabaya City Education Office should apply the Indonesian spelling in accordance withPermendikbud Number 50 of 2015 on General Spellings Guidelines of Bahasa Indonesiaaccompanied by the Fourth Edition of the Fourth Edition of the Indonesian Spelling Manual(PUEBI). However, the fact is still found many errors related spelling and sentences that arenot effective on the official website of the Office of Education. Above this background, thisresearch was made with the purpose of describing and analyzing the error language on theofficial website of Surabaya Education Department. In this study, the data will be examined interms of the spelling according to the General Spellings Guidelines of Indonesia. In addition,it is also noted in terms of the effectiveness of sentences because this is an important thing inthe news. News must convey information in its entirety, and to convey information as a wholerequires effective sentences. This research uses qualitative approach. The data studied are tennews that aired in August 2017 on the official website of Surabaya City Education Department.To collect the data, the author visited http://dispendik.surabaya.go.id. Data were collected bydocumentation technique. After the data is collected, it will then be analyzed and described forthe errors encountered. In this study found errors in terms of spelling and ineffectiveness ofsentences. Related spelling errors, including writing punctuation, capitalization writing,oblique writing, number writing, and word writing. Not only that, the ineffectiveness ofsentences is also found in the data collected.&#x0D;
E-Library at Aceh Provincial Language Center

The book data information system at the Aceh Provincial Language Center still uses conventional methods in book data collection. The large number of printed manuscripts that were entered and the transaction process caused many difficulties in controlling bookkeeping. In addition, data processing also takes a long time. From the background description, the authors define the problem only in how the E-library Database Management System at the Aceh Provincial Language Headquarters and the design of the E-library Database Management System at the Aceh Province Language Center Office are web-based. The purpose of the discussion is to find out the E-library Database Management System at the Aceh Provincial Language Headquarters and to design a web-based E-library Database Management System at the Aceh Province Language Headquarters. For the perfection of this report, the authors collected data using several data collection methods, including using field studies and literature studies. The E-library Database Management System makes it easy for the Aceh Provincial Language Headquarters to evaluate the handling of e-libraries and with this application, it can overcome problems that exist at the Aceh Provincial Language Head Office because it speeds up reporting and reduces human errors.
Android based Building Plan and Estimation for Rural India an (Inspired By) Atmnirbhar Bharat

As we know there are some underdeveloped areas where traditional method or local construction methods are used. They are trying to finish the building within the budget to stop a professional person taking advice. But instead of local consultants if they go with a technical plan, they can meet requirements with proper planning in almost the same budget.Building your dream home is easy, but it is not easy with proper planning.To ensure a hassle-free construction process, it is imperative to adopt rules and regulations called build-by-law.
Spirit Distillation: Precise Real-time Prediction with Insufficient Data.

Recent trend demonstrates the effectiveness of deep neural networks (DNNs) apply on the task of environment perception in autonomous driving system. While large-scale and complete data can train out fine DNNs, collecting it is always difficult, expensive, and time-consuming. Also, the significance of both accuracy and efficiency cannot be over-emphasized due to the requirement of real-time recognition. To alleviate the conflicts between weak data and high computational consumption of DNNs, we propose a new training framework named Spirit Distillation(SD). It extends the ideas of fine-tuning-based transfer learning(FTT) and feature-based knowledge distillation. By allowing the student to mimic its teacher in feature extraction, the gap of general features between the teacher-student networks is bridged. The Image Party distillation enhancement method(IP) is also proposed, which shuffling images from various domains, and randomly selecting a few as mini-batch. With this approach, the overfitting that the student network to the general features of the teacher network can be easily avoided. Persuasive experiments and discussions are conducted on CityScapes with the prompt of COCO2017 and KITTI. Results demonstrate the boosting performance in segmentation(mIOU and high-precision accuracy boost by 1.4% and 8.2% respectively, with 78.2% output variance), and can gain a precise compact network with only 41.8\% FLOPs(see Fig. 1). This paper is a pioneering work on knowledge distillation applied to few-shot learning. The proposed methods significantly reduce the dependence on data of DNNs training, and improves the robustness of DNNs when facing rare situations, with real-time requirement satisfied. We provide important technical support for the advancement of scene perception technology for autonomous driving.
Touch DNA; A Quantitative Study in the Perspective of Forensic Science

“Touch DNA” is a DNA obtained from biological material transferred from a source to an object or a person during physical contact. Touch DNA came into notice after the research work of Ronald van oorschot, he focused on DNA from fingerprint. We usually use the “Swabbing” and “cutting out” Technique for collection of Touch DNA. Organic method of extraction is most favoured, followed by RT-PCR for quantitation of DNA. Belonging’s used in day-to-day life holds an ample amount of DNA like Brush, Smart phone, Mask, Toothpicks etc, which is quite sufficient to generate a DNA profile of any individual. It can be a very valuable source to establish the identity and individuality of any person in the field of forensic science.
Interdisciplinary as a factor of solving the problems of implementation of innovations in the process of teaching physics in technical institutions of higher education

Vocal and choral performance as a kind of interactive music making of future teachers of music art in the process of professional trainingThe article substantiates the problem of vocal and choral performance as a type of interactive music making of future music teachers in the process of professional training.It is noted that conducting and choral disciplines play an important role in the professional training of future music teachers, because choral singing is the dominant activity of general education institutions.Thorough scientific researches of this phenomenon in the field of pedagogy, psychology, art history are analyzed.It is determined that promising areas in the musical and creative development of future professionals are the inclusion in the process of professional training of various forms of music making.In studying the problem of vocal and choral performance as a type of interactive music making for future music teachers, the concepts of "interactive method", "interactive learning", "interactive music making" are singled out and analyzed.The concept of "interactive music making of future teachers of music art" is specified.Possibilities of vocal and choral performance in the formation of creativity, initiative, self-development, creative individuality of the future specialist are substantiated.It is determined that vocal and choral performance as a type of interactive music making is the result of mutually planned artistic and creative activity of a student and a teacher, which includes cognitive-research work in the field of art forms; artistic and aesthetic activities; organizational component.The authors argue that vocal and choral performance as a form of interactive music is a syncretic process and will be successful in conjunction with elements of music and dance, music, poetry and stage creativity of future music teachers and will intensify the process of understanding and creative use of knowledge, formation the ability to find rational approaches to mastering information and increase the motivation of future professionals to creative and exploratory activity in the process of training.Attention is drawn to the need to find innovative methods and techniques to improve this process in the study of the experience of using computer programs for creative interactive music in vocal and choral activities of students.
IDENTIFICATION OF PLANT DISEASE USING IMAGE PROCESSING TECHNIQUE

Agriculture is a critical part of our country's economy. Farmers can choose from a wide variety of crops for their farms. In any case, crop production for full benefit and commonplace processing may be science at times. With the aid of technical assistance, this can be created. The omission that Continually growing crops necessitates supreme power, especially for disease management, which will have a major impact on factors of production in order to generate economic benefit. The picture approach is the most important technique for getting a paying job in agricultural application. performs. Find a disease by looking at a picture of plants. With assistance for agricultural production, this effect could be mitigated. Since the majority of the first signs are microscopic, human vision limits the ability to identify the illness. This technique is repetitive and time consuming. There is a need for a fashion system that identifies, classifies, and categorises fashion automatically. Detects sickness symptoms in a quantitative manner. The main image processing techniques used for identifying leaf diseases are k-means bunch and SVM. This method would greatly help in the effective detection of disease.
Improving the Students’ Ability in Speaking by Using Debate Technique at the Tenth Grade of SMK Negeri 1 Aramo

&lt;p&gt;This research is done at SMK Negeri 1 Aramo. The subject of this research is the tenth grade which consists of 16 students, 8 girls and 8 boys. While the objects of this research are the implementation of Debate Technique, and the students’ ability in speaking. It is conducted by using Classroom Action Research (&lt;em&gt;CAR&lt;/em&gt;) that consists of four stages in each cycle. They are planning, action, observation, and reflection. The data will be analyzed in qualitative data and quantitative data.&lt;/p&gt;&lt;p&gt;The result of the data analysis in the first cycle is not satisfied. That’s why, the researcher continues to the second cycle. In the second cycle, the students get improvement in speaking. One student (6%) in the less level, 4 students (25%) in adequate level, 11 students (69%) in good level. The average of the students’ score is 65. Then, the result of field notes in the first meeting, the percentage of the students who are active is 75%, creative is 69%, and cooperative is 63%. While, in the second meeting, the percentage of the students who are active is 94%, creative is 94%, and cooperative is 100%. The average of the students’ score in the second cycle gets improvement and reaches the Minimum Competence Criterion (&lt;em&gt;MCC&lt;/em&gt;) target fixed at the tenth grade of SMK Negeri 1 Aramo. Then, the researcher does not continue the research to the next cycle.&lt;/p&gt;From the result of this research, the researcher concludes that Debate Technique is an active and creative learning process in teaching speaking, working in a group and also sharing knowledge and ideas to others.
Effectiveness of treating Cotton fabrics used in hospital bed covers with Arak water (Teeth cleaner) against bacteria

The fabrics used in the medical field have acquired great importance in recent times because they have been invaded by new and varied fields, due to the development of the accident in the field and the increasing interest in patient health and with technological and industrial progress and development. These fabrics have evolved and have multiple areas of use, and cotton fabrics used in medical fields are among the most important and best types Fabrics used in the medical field because of the advantages and characteristics of other types of fabrics, and in an attempt by the researcher to find some solutions to problems Which is found in the use of bedding fabrics inside hospitals, the most important of which is the presence of different types of harmful bacteria that are found on the surfaces of the bedding fabrics, and the research problem is clear through what is how to treat cotton fabrics with Arak water against bacteria, and also what is the effect of treatment with Arak water on cotton fabrics against bacteria The research aims to treat cotton fabrics used in hospital bed covers with Arak water against bacteria, by treating the plain cotton fabrics used in hospital bed covers with three Types of bacteria present in the atmosphere through three different concentrations of Arak water (10%, 20%, 30%). The research assumes that Arak water is effective in treating cotton fabrics against bacteria. The most important results of the research were the presence of a clear effect of Arak water on the bacteria used in the samples at a concentration of 30%, followed by a concentration of 20 on the area of the samples used and the lowest percentage of the treated samples was at a concentration of 10%.
Security Aspects of Electronic Health Records and Possible Solutions

Health related information of a person in systematic format using information and Communication technology is definitely required.Storing patient information according to guidelines provided by government will help to achieve the concept of one person one record.There is also need to share the personal health record whenever necessary.If patient record (History) is readily available, it will help to make correct decisions related to patient's treatment.In our country (India) Ministry of Health and Family Welfare have recommended to eliminate conventional health record system.The major focus of this paper is to represent various methodologies that are adopted to implement web based health record system.As there is need of security while accessing and sharing of health related information, security is the major factor.Use of block chain, cryptography and timestamp based log record method is discussed.To assure the sharing of records, Inter Planetary File System (IPFS) is also discussed.Major purpose is to provide systematic and easy to use interoperable electronic health Record system.
Operasi Morfologi Dan Kode Rantai Untuk Menghitung Luas Area Basah Kertas Saring

Calculation of wet areas carried out with the help of millimeter block paper has the disadvantage of copying the edges that are less precise and the calculation time is quite long. Another problem is the consistency and accuracy that is generated depends on the subjective factors of the person and one's fatigue. In order for the process to be faster and more consistent, the calculation process using image processing is very necessary. Image preprocessing includes cropping, grayscalling, lowpass filter averaging, convertion to binary image based on otsu thresholding, and complementing images to pixel objects of value 1. Segmentation with morphological operations, including opening operations to remove small objects around objects, Holes Filling operations to fill holes in objects, opening operations again to remove objects other than wet areas. The process of calculating wet areas uses chain code. Based on the results of testing of 81 images, the use of morphological operations is able to produce segmentation of wet areas that approach the original wet area. The scale value affects the accuracy and the best scale is obtained from the use of the ruler. The use of chain code is able to calculate the wet area on filter paper with an average accuracy of 95.73%, the value is higher than extensive use by summing the pixel value even though it is not significant. The average calculation of wet areas uses a system of about 0.8 seconds or 379 times faster than using millimeter block.
فاعلية برنامج باستخدام استراتيجية تعلم الأقران فى تنمية سلوکيات الذوق العام في تناول الطعام وارتداءالملابس لدى طفل الروضة The Effectiveness of a Program Using Peer-Learning Strategy on Developing Some General Etiquette Behaviors In Eating And Dressing among Kindergarten Children

The current study aims at investigating the effectiveness of a program based on using a peer-learning strategy on developing some general etiquette behaviors In Eating And Dressing among kindergarten children. For this purpose, this study utilized the experimental approach with the quasi-experimental research design that follows one group design of pre and post-measurement as it is the most suitable to the study nature. The study sample comprised of(23) children whose ages ranged from(5-6) years old. For data collection, the researcher utilized an observation card for some general etiquette behaviors In Eating And Dressing , a pictures test for some general etiquette behaviors, and a program to develop some general etiquette behaviors In Eating And Dressing using a peer-learning strategy(prepared by the researcher). Results demonstrated the effectiveness of the presented program which is based on using the peer-learning strategy on developing some general etiquette behaviors In Eating And Dressing  among kindergarten children.
Differences between Chinese and American University Education from the Perspective of Curriculum Design -- Taking the University of Minnesota as an Example

More and more educational researchers pay attention to the differences between China and the United States. Although the educational concepts of China and the United States respect "student-centered", and are very close in educational system and institutional setting, they are still similar in curriculum design. Taking the University of Minnesota Twin Cities as an example, this paper makes a detailed comparative analysis from the four aspects of curriculum objectives, curriculum assessment, teaching activities and syllabus, finds out the essential differences between Chinese and American university curriculum design, and puts forward that the change of Chinese university curriculum design concept needs to start from basic education, and the cultivation of teachers' thinking and ability is the key influence of the reform factor.
Multivariate Statistical Analysis of Archaeological Contexts: The case study of the Early La Tène Cemetery of Szentlőrinc, Hungary

This study would like to provide an open-source and reproducible workflow for multivariate statistical analysis of archaeological contexts, e.g. cemeteries. Further the study does not wish to republish the cemetery – it only discusses diagnostic artifact types which can be used for dating this specific cemetery.Also, the study shows that multivariate statistical analysis can be useful and that a bigger sample size (cemetery), higher number of artifacts and more associated artifact types in closed contexts can deliver better and more useful information for dating cemeteries or even building regional chronologies.