Reviewerly/exHarmony huggingface dataset:
COMPARISON OF ALGORITHMS FOR CONTROLLED PIXEL-BY-PIXEL CLASSIFICATION OF NOISY MULTICHANNEL IMAGES

The subject of this study is the pixel-by-pixel controlled classification of multichannel satellite images distorted by additive white Gaussian noise. The paper aim is to study the effectiveness of various methods of image classification in a wide range of signal-to-noise ratios; an F-measure is used as a criterion for recognition efficiency. It is a harmonic mean of accuracy and completeness: accuracy shows how much of the objects identified by the classifier as positive are positive; completeness shows how much of the positive objects were allocated by the classifier. Tasks: generate random valuesof the brightness of the noise components, ensuring their compliance with the accepted probabilistic model; implement the procedures of element-wise controlled classification according to the methods of support vectors, logistic regression, neural network based on a multilayer perceptron for images distorted by noise; evaluate and analyze the results of objects bezel-wise classification of noisy images; investigate the effect of noise variance on classification performance. The following results are obtained. Algorithms of pixel-by-pixel controlled classification are implemented. A comparative analysis of classification efficiency in noisy images is performed. Conclusions are drawn. It is shown that all classifiers provide the best results for classes that mainly correspond to areal objects (Water, Grass) while heterogeneous objects (Urban and, especially, Bushes) are recognized in the worst way; classifiers based on the support vector machine and logistic regression show low recognition accuracy of extended objects, such as a narrow river (that belongs to the wide class of "water"). The presence of noise in the image leads to a significant increase in the number of recognition errors, which mainly appear as isolated points on the selected segments, that is, incorrectly classified pixels. In this case, the best value of the classification quality indicator is achieved using neural networks based on a multilayer perceptron.
Overview of and Accounting for Cloud Computing

It is clear that cloud accounting has revolutionized and changed the lives of many small and large business owners.Everyone has their own version of where and when the cloud originated.Many put the date back to 1955, when the idea of computing timeshares emerged.In those days, cutting-edge commercial computers, like the IBM 702, took up roughly the square footage of a roomy Brooklyn apartment and cost just about as much to rent ("A brief history."2019).A new implementation cost in Cloud Computing arrangement was proposed by the Financial Accounting Standards Board (FASB) to clarify that a customer has a hosting arrangement.This article addresses the diversity in accounting and the cost incurred in hosting arrangement in a service contract.Some entities would defer certain implementation costs incurred during the application development stage.Entities would expense other costs as incurred like planning, training, maintenance, and data conversion.Cloud Computing uses hosted services over the Internet to access services and different resources to perform jobs with changing and dynamic needs.Cloud Computing has changed the way companies do business with other businesses and the way their own data is stored.
العدد الإیقاعی بحث فی مفهوم الکم والزمن فی فلسفة الإیقاع

الملخص: يدخل مفهوم الإيقاع في دائرة المفاهيم الإشکالية التي لم تحدد تحديدا دقيقا؛ نظرا لتعدد عناصره وانفتاحه على نسق من المشکلات، وحضوره في مختلف الفنون، کالشعر، والموسيقى، والرسم، والنحت، والتصوير، والمعمار، وکذلک الظواهر الطبيعية، کحرکة الشمس والقمر.ويمکن أن تعد مشکلة الزمن الفلسفية من أهم، وأعقد المشکلات التي يشتمل عليها مفهوم الإيقاع؛ وذلک بسبب العلاقة التکوينية فيما بين المفهومين، بوصف الزمن يمثل المقوم الماهوي للإيقاع؛ إذ إن الإيقاع لا يفهم إلا من خلال الزمن، والزمن لا يقاس إلا بالعدد، ومن ثم دخل الکم في نظام الإيقاع.إن وجود الزمن المستمر يمثل جانبا من جوانبه، فهو حامل للحادثات کلها، ولا شيء يمکن أن يوجد خارج الزمن، إلا أن هناک جانبا آخر للزمن، قابلا للفصل والتجزيء، وهو الجانب النفسي، حيث يعمد الإنسان، لا شعوريا، إلى تقطيع الزمن، وربطه بالحادثات المخزونة في الذاکرة؛ فيحدث تقسيم الزمن خياليا، من خلال استعادة الماضي، ومن هنا يمکن عد الإيقاع محمولا زمنيا نفسيا للظاهرة، مجتزا من خط الزمن المستمر، والزمن حامل لهذه الظاهرة.Abstract:Rhythm is considered one of the problematic concepts, which received no precise identification due to its multiple elements, relation to a number of issues and presence in various arts like poetry, music, painting, sculpture, photography, and architecture, as well as natural phenomena like the movements of the sun and the moon.The philosophical problem of time is perhaps the most important and complicated issue that is included in the concept of rhythm. This is because of the formative relation between them in that time existential constituent of rhythm. Rhythm, as such, can be and time is only measured with number. Therefore, quantification became part of rhythm system.The continuous existence of time represents one of its aspects. Time is the vessel of all events. Nothing can exist outside of time. However, there can be divided and fragmented. It’s the psychological aspect, as man tends to divide time unconsciously and relating it to memory. Hence, time fragmentation imaginatively happens via past recollection. Therefore, rhythm can be considered as time constituent of the phenomenon, which is departed from the continues timeline and time being the vessel of such phenomenon.
An Effective 3D Human Pose Estimation Method Based on Dilated Convolutions for Videos

3D human pose estimation is a challenging problem due to the diversity of poses, human appearance, clothing, occlusion, etc. In this work, we split the problem into two stages, 2D human pose estimation and 3D pose recovery, and address it by a network based on dilated convolution for videos. We introduce pruning layer to prevent overfitting, which performs better than dropout, because the strategy of pruning is not to drop nodes randomly, but to choose the lower-weight ones. We also employ quantization to accelerate it in the smart shop environment, which gains a trade off between performance and computational complexity, and the accuracy loss is in an acceptable range. In addition, labeled human pose datasets are so limited and expensive especially for 3D poses, we propose a 3D human pose dataset named HRI-I in a smart shop environment, which contains more than 16k poses, 26 people and 6 scenarios of walking, hunkering, fetching objects, etc. We train and test our model on the HumanEva-I, Human3.6M and our proposed HRI-I, it demonstrates that the proposed method is efficient and effective.
Peningkatan Pengetahuan Remaja Tentang Bahaya Akibat Narkotika, Alkohol, Psikotropika Dan Zat Adiktif Lain (NAPZA) Di SMA N 15 Kabupaten Muaro Jambi

Substances classified as drug use refers to a group of substances that have a risk to the user, namely addiction (addiction). Drug is a substance or substance that when it enters the body affects the body, especially the central nervous system / brain so that when abused it will cause physical, psychological or mental disorders, and social functions. Jambi Province is the fourth highest province in Indonesia in narcotics distribution. According to survey data from the central BNN with a prevalence rate of 2.2 or reaching 53,177 inhabitants. This community service aims to increase knowledge about the dangers of drugs so that it becomes the basis of planning for the prevention of drug abuse among students / adolescents. This activity is in partnership with SMA N 15 Muaro Jambi. This activity involves all parties, especially students, as the target of increasing knowledge. Activities are carried out from compiling activity plans to monitoring and evaluating activities according to the specified targets and outputs. There has been an increase in students' knowledge about the dangers of drug use from the results of pre and post tests that have been conducted. The issuance of Decree on the establishment of anti-drug cadres as many as 5 students, as well as publications in the mass media are some of the outcomes that have been produced. Other outcomes are journal articles for public service activities.
Accuracy Improvement of Digital Image Correlation by a Simple Super Resolution Method

Reseachers have been developing new methods to improve the accuracy of digital image correlation (DIC) for decades, and the proposed methods could be mainly divided into two classes, the software and the hardware methods. One embranchment technique among the hardware methods is increasing the spatial resolution of the imaging system, which means recording more details of target surface by increase the pixel resolution with the field of view fixed. Since more information of interested area adopted in the image correlation processing, higher displacement and strain measurement accuracy could be achieved. To increase spatial resolution of imaging system a simple super resolution methods is proposed, in which a telecentric lens and two pieces of sheet glass are employed as the imaging system. The optical field from the target surface propagates through the two glass sheets and into the telecentric lens. By tilting one glass sheet slightly the optical field would be translated by sub pixel, thus a translated image could be obtained. Assembling the translated images, a super resolution image with much higher spatial resolution could be formed. Applying the digital image correlation algorithm to the super resolution images, the improved displacement and strain accuracyt could be achieved.
Translation errors of noodles product cooking instructions from Indonesian into English

This paper discussed the translation errors in various top brands of instant noodles in Indonesia, ranging from the products produced by the local industries to the one imported from overseas. In this research, the researchers used a descriptive qualitative research method. The sources of the data for the objects of the research were ten cooking instructions or procedures of various brands of instant noodles in Indonesia, translated from Indonesian into English. The data were collected by documentation techniques. The types of data were words, phrases and sentences. The data were classified and tabulated based on the error types, following the standard of ATA’s Framework for Standard Error Making Classification. The result of the analysis showed that there were 40 translation errors, found in 10 of 23 error categories with Omission as the most frequent error produced. The three most prominent error categories found in the instant noodles’ cooking instructions are Omission, Mistranslation, Syntax and Cohesion. Omission turns to be the highest category of translation errors which appeared 13 times out of 40 errors or 32.5 % of errors found in the analysis, followed by Mistranslation with 15% and Syntax and Cohesion that shares the same percentage of findings by reaching 12.5%. The researchers also found that out of 10 instant noodle brands, instant noodle brand D has the most translation errors with 9 error out of 40 errors in total, followed by brand J with 8 errors. The implication of the study is that the findings are hoped to be useful for the industry in terms of usage of English in labeling and branding the products, to avoid miscommunication and misinterpretation.
New Open Digital Marketplaces: Giving Buy, Sell and Trust Control Back to Users

Companies such as Amazon, Flipkart, Zomato, Oyo and Uber which we refer to as Digital Marketplaces are globally emerging across different business sectors.These marketplaces connect buyers and sellers and the marketplace owners act as central trustworthy authority to provide trade assurances.However, such a trust model could be problematic.Without any alternatives, rapidly growing users of the marketplace, both buyers and sellers are forced to trust the marketplace owner to satisfy their needs.Regulating users, control over digital transactions, exercising autonomy are other issues to name (but) a few indicating that marketplace owners are transparently replacing governments.In our view, Digital Marketplaces should be democratic as the markets in the real-world and control must be given back to the users since they are the contributors in the growth of these marketplaces.This paper presents a new way of Open Digital Marketplaces that model real-world buyer and seller interactions.Proposed solution involves users of marketplace as partakers in a digital transaction for connecting buyers and seller with trade assurances by leveraging their personal connections.Trust is made localized and the supply chain becomes subjective to the user as in the real-world.Switching the role of marketplace owner with the users, eliminates the need for trusting the marketplace owner as a central authority as well as diminishes autonomy and authority of the marketplace owner over the digital transactions.Users, with whose efforts trade is made digitally successful, are rewarded with an incentive, a type of shareholding in the digital transaction, as per the electronic contracts digitally signed by participants before executing the transaction.Disputes or violations of contract are resolved by an automated system, can also be escalated to an independent body or to a local court for a decision.Feedback received from the experiment based on the implementation of the proposed solution suggested ease of doing business by small businesses as well as increase in revenue.It also creates new opportunities for users to earn revenue share in digital transactions, instead of only the marketplace owners, in the emerging gig economy.
VARIABLE SELECTION IN ANALYZING LIFE INFANT BIRTH IN INDONESIA USING GROUP LASSO AND GROUP SCAD

Regression analysis often requires a selection of explanatory variables X 1 , X 2 , ... X p so shrinkage coefficients can occur that can facilitate the interpretation of the regression equation obtained.In this context, the explanatory variable often has a grouping structure so that a more relevant problem is how to choose groups rather than individuals.Group LASSO and group SCAD are techniques for selecting groups of variables which in many works of literature appear to have advantages over LASSO.In this study, the percentage of live born children in the province of Bali, East Nusa Tenggara and other Indonesia provinces were analyzed and linked to the explanatory variables using the group LASSO and group SCAD methods.The classification of available explanatory variables is grouped based on the theory and results of previous studies.The results show that the best model is the group SCAD method with the smallest AIC, BIC and GCV values.Factors included in the model for Bali province are demographic factors, women's status, and autonomy and the economy.For East Nusa Tenggara province the factors that enter the model are demographics and economics, while generally for Indonesia the factors that are included in the model are demography, women's status, and autonomy and family planning.
Model Of An Innovative Teacher In The Republic Of Sakha (Yakutia)

The relevance of the study about the problem of an innovative teacher lies in the need to educate teachers able to teach the new Generation Z living amidst the Fourth Industrial Revolution. In this regard, the current article aims to develop a model of a modern teacher, which comprises a set of professional competencies that will be in demand in future schools. The main method for studying this problem is modeling, which allows considering this problem as a process of purposeful and conscious mastering of professional competencies by students. In addition to modeling, a questionnaire was administered to 100 university students, which allowed identifying the key competencies of a teacher of the future. The most important competencies include informational and communicative competencies, psychological and communicative competencies. It was found out that the most developed competencies among future teachers are teamwork ability, communicative competence, and learning capability. The article emphasizes that in the age of actively developing technologies, teachers’ moral qualities continue to be the key prerequisite for the implementation of the advanced principles of teaching and education. The model is aimed at the formation of the innovative teachers who are willing to implement an educational program and educate the Generation Z schoolchildren who are distinguished by creativity, conscientiousness, readiness to learn continuously, multitasking, and pragmatism.
THEORETICAL CONCEPTS OF THE ENGLISH TERM MOBILE COMMUNICATION: EVOLUTION AND A HISTORICAL EXCURSUS

The terminology of the mobile communication industry belongs to the youngest systems since it emerged in the late twentieth century with the emergence and development of computer and information technologies.The development of modern mobile communication depends on the latest information technology, the use of which gives mobile operators the opportunity to provide new and better services.The process of forming new words reflects in the language the needs of society in expressing new concepts, which are a kind of product of the development of science, technology, culture, social relations, etc.However, even in basic research, there is no structural and lexical semantic analysis of the term mobile communications technology.There an urgent need to investigate this area, since it will enable us to further determine the prospects for the development of this term system under current conditions.Due to the rapid development of information and communication technologies, the process of enriching the vocabulary of all languages, and English in particular, with new lexical units is used to denote the concepts of the sphere of mobile communication.The concept of the mobile communication system as a sphere of modern technologies is characterized by a number of features: the mass use of concepts and terms related to the sphere of mobile communication, intensive replenishment of this device due to the intensification of the development of this term system.The main task of the study is to find out how a term with its inherent invariant component can acquire different contextual meanings, to identify immanent features that are communicatively relevant, providing the functionality of the term in professional implementation, that is, to trace the seminal structure of the sources in terms and the application of thought in special texts and scientific speech.As the leaders of the mobile communications industry are Englishspeaking countries, it is natural that the initial nomination for new developments is in English.The problem of filling with adequate terminology is directly related to the continuous process of formation and development of terminology of the sphere of mobile communications, the systematic analysis of which is of great interest for the modern branch of terminology.
Tensor Calculus on Manifolds

Tensor calculus was the culmination of pioneering work by B. Christoffel and G. Ricci, in 1869 and 1887–1896, respectively. It reached maturity in a joint publication by Ricci-Curbastro and Levi-Cività in 1900. It is difficult to overstate its importance as a field – general relativity could not exist without it. Tensor calculus plays an essential role in every area of physics; it is also crucial for continuum mechanics and many other engineering sciences, and it, of course, lies at the heart of differential geometry. Section 4.2 of this chapter is purely algebraic (with some algebraic topology in section 4.2.6). The mathematical objects that physicists call tensors are more precisely tensor fields; they are only introduced in section 4.3. Historically, “tensors” were presented to students as exotic mathematical millipedes of the form tj1, …, jpi1, …, ip (or more briefly) that behave in a certain way under change of coordinates (see [4.3, 4.4]). This stemmed from the decision to only define the components of the tensor (see [4.2]). As a result, students could complete an entire course of tensor calculus without finding a satisfactory answer to the question: “But what actually is a tensor?” We will, of course, choose a different approach by defining tensor fields before attempting to study them.
Cognition with or Without Emotions?

Since humanHuman moralMoral decisions often have an emotional coating—either through empathy or antipathy—it is necessary to address the possibility of developing emotionally motivated machinesMachine. This is considered one of the limits of AIArtificial intelligence when doubting its progress. “MachinesMachine will never be emotionally motivated, for they have no endocrine system to endow them with emotionsEmotions.” This thesis systematically ignores the role of emotionsEmotions in humansHuman, as well as what we should really expect from cognitiveCognitive machinesMachine. First, we will highlight that, from a functional viewpoint, emotionsEmotions play an anticipatory role, preparing possible responses for an organism. Then we will caution that emotionsEmotions are not a humanHuman particularity, since there are many other species that have them too. Hence, there is nothing to prevent a machineMachine from being able, in advance and using its powerPower to conceive counterfactualsCounterfactual, to conjecture alternative possible answers. In the future we will not have fearful or sad computersComputer, but there will be within them the role that fear or sadness play in our decision-making processesProcess. Even based on what is already achievable today, we will soon have robotsRobot capable of interpreting and interacting with humanHuman emotionsEmotions.
Treatment of Leachate by Electrochemical Oxidation using Graphite and Titanium Electrodes

Leachate originating in landfills where municipal solid wastes are disposed is a wastewater with a complex composition that could have a high environmental impact.The study aims to treat the landfill Leachate by electrochemical oxidation process in order to render the Leachate reasonable for inland disposal. Electrochemical oxidation of organic compounds from Leachate is a compelling method of breaking down pollutants which are resistant to biological degradation. The electrodes used in the process are graphite and titanium electrodes. At optimum conditions, the percentage removal by Graphite electrodes areCOD, TDS, Ammonia and Chloride were 52%, 57%, 60% and 45% respectively. The percentage removal by Titanium electrodes are COD, TDS, Ammonia and Chloride were 68%, 80%, 65% and 58% respectively.
PENERAPAN MODEL PEMBELAJARAN KOOPERATIF TIPE THE POWER OF TWO UNTUK MENINGKATKAN HASIL BELAJAR IPS SISWA

This study was initiated by the low learning outcomes of social studies students at SDN 006 Muara Lembu. The purpose of this research is to improve students' social studies learning outcomes by applying the power of two cooperative learning model. This research was conducted at SDN 006 Muara Lembu. When the research was conducted in the even semester of the 2018/2019 school year. The subjects of this study were students of class IV.B SDN 006 Muara Lembu with a total of 22 students consisting of 13 male students and 9 female students. This type of research is a classroom action research study consisting of two cycles, each cycle consisting of planning, implementation, observation and reflection. The results of research conducted prove that, student learning outcomes have increased, from an average base score of 62.7 increased to 73.2 in Cycle I and increased again in cycle II to 87.3. Overall, there was an increase from the baseline score to End of Cycle II at 35.1%. From these results it can be concluded that by applying the power of two type of cooperative learning model can improve the social learning outcomes of students in grade IV.B SDN 006 Muara Lembu.
The principles of quantum computer and the range of tasks in modern the world

Тенденции развития науки и образования