Reviewerly/exHarmony huggingface dataset:
CONSTRUCTION OF SPECIAL OBJECTIVE FUNCTIONS IN THE OPTIMIZATION OF GEOMETRIC MODELS OF WATER SUPPLY SYSTEMS

In the process of designing external water supply systems, the technical and economic aspects of their construction and subsequent operation should be taken into account. These indicators should be as attractive as possible from a financial and economic point of view. Accordingly, when it comes to the costs of construction and maintenance with subsequent repairs, their specific values should be minimized. If we are talking about economic characteristics associated with projected volumes of savings, then they should be maximum. In the classical approach, the optimization of the water supply system requires the construction of an objective function, the extrema of which will be found and investigated in the search for the best geometric parameters of this system. If we consider as the objective function the cost of construction and further operation of the entire length of the pipelines of the water supply network, as the sum of the costs for its individual sections between the branch nodes, then to determine the cost of each such section, it will be necessary to set specific indicators of the corresponding costs per unit length of the pipeline. However, such specific indicators will be different in different parts of the territory, depending on the complexity of the terrain, the presence or absence of other engineering systems or structures, as well as on geotechnical conditions. Ultimately, it will be necessary to construct a special continuous distribution function for specific indicators of the cost of the construction and operation of the links of the water supply system as a discrete geometric model on a plane — a planar or non-planar graph. Based on the corresponding objective function, it is proposed to carry out the process of forming a discrete geometric model by performing successive approximations in the calculations. Keywords: water supply systems, discrete geometric modeling, radial basis functions.
Possibilities and Prospects for the Development of Criminalistics

The aim of this paper is to present the possibilities and prospects for the development of modern criminalistics. Discussion of this matter is of importance due to the observa-tion that criminalistics has, of late, lost its original form. The new techniques, including forensic analysis and biometrics, for example, are applied in traditional criminalistics. Fields of knowledge such as forensic archeology and forensic entomology play a signifi-cant role in solving common crimes and are also gradually forming part of criminalistics. There are still no effective tools, however, to combat economic crime. This paper presents the research capabilities that academic research institutes have in this field and possible ways to equip the authority conducting the proceedings with algorithms for identify-ing and combating economic crime. The paper is divided into three parts. The first part demonstrates the shortcomings of criminalistics in terms of the fight against economic crime. The second part presents the author’s achievements, such as establishing the types of economic opinions and presenting typical traces of economic crime. The third part presents the possibilities for further development of criminalistics.
The trend of software cost estimation in Ethiopia Case study : Addis Ababa

For a different item, you can purchase it. There are different costs to purchase that you can analysis the benefit and loses, even if on the software it has different approaches to analysis their wages, the developer company can get their analysis by the different methods. There are a lot of software cost estimation methods are appearing in different years but still, those methods have their own drawback on making a correct effort and scheduling estimation, here in the paper Today there are different software cost estimation methods that the software company uses from the requirement to implementation phase. Corrected cost estimation supports us to complete the project on planned times and budgets. This paper is mainly presenting the current situations of cost estimation on software placed in Addis Abebas different software compony&#x0D; &#x0D;
How to beat the cybercriminals and stay safe online

According to a report by Statista, Facebook had 2.45 billion monthly active users as of the third quarter of 2019.That is a tremendous amount of information being shared on a regular basis, and many of us share posts without giving much thought to the risks attached to doing so.The risk of identity fraud is ever-increasing, because the more people publicly post online (on social media channels or forums, etc.), the more they open themselves to risks.Sharing too much information online can enable cybercriminals to collect personal information and impersonate you across other websites or services.This is known as identity fraud.In this way, the offenders use information to hack into your online accounts, or even sign up for credit cards in your name.It is therefore essential that we all take steps to protect our personal information online.The University of Kent is home to the Kent Interdisciplinary Research Centre in Cyber Security (KirCCS), which aims to harness "expertise across the University of Kent to address current and future cyber security challenges".Cyber security researchers Professor Shujun Li and Dr Jason Nurse are part of the team at KirCCS and are passionate about improving cyber security awareness and education.WHAT ARE SOME OF THE CURRENT CHALLENGES KIRCCS IS TRYING TO ADDRESS?KirCCS deals with a whole range of research topics.Some are highly technical (for example, security testing and verification), others can be described as socio-technical, i.e., studying user behaviour, trust in online social networks or privacy management.
LibGuides: ASU Library Digital Credentials: Student Instructions

ASU Library is launching a new digital credentials service that will enable faculty to integrate credentials into Canvas.
КУЛЬТУРА У ВИВЧЕННІ ІНОЗЕМНИХ МОВ

Language is the bearer of human thoughts and reasoning. Culture should become an integral part of teaching and learning foreign languages. Both society and its culture change over time. The language of this culture is being invigorated by new elements. Effective integration will help the teacher professionally present the content of his lesson by selecting appropriate cultural tools that will facilitate teaching and learning.Language and culture are inseparable, so any change in language threatens culture. Because language is a means of preserving the culture of the people, promoting social interaction and unity of both. Use of language means the transfer of people’s culture. Language expresses, preserves, and transmits the entire set of patterns, behaviors, beliefs, traditions, and customs of the thinking patterns of one group of people different from another.It has been repeatedly found that many students who have studied Russian and have visited Russia have differed significantly from those who did not have the opportunity. A foreign language learner also learns the cultural knowledge and skills necessary to be competent in learning a foreign language. Therefore, it is considered necessary to include culture in a foreign language curriculum, as this helps to avoid the stereotypical notion that language is not part of culture.Teaching culture creates awareness of the geographical environment, the historical or political development of a foreign culture, its customs and the literary achievements of its members. The task of the teacher is to stimulate students’ interest in the target culture and to promote the creation of a foreign language class. Love for one’s language is an aspect of cultural consciousness. Everything that a person thinks is expressed in language and embodied in our lives. The main purpose of teaching culture in a foreign language class is to raise students’ awareness and develop their interest in the target culture on their own.
Pokémon GO, underhållning eller arbete? : En studie om upplevelser och värdeproducerande aktiviteter i spel

This paper investigates players experience of the augmented reality game Pokemon Go in relation to value producing activities. The game uses geographical places to encourage people to walk around i ...
Machine learning methods against false data injection in smart grid

The false data injection in the power grid is a major risk for a good and safety functioning of the smart grid. The false data detection with conventional methods are incapable to detect some false measurements, to remedy this, we have opted to use machine learning which we used five classifiers to conceive an effective detection [k-nearest neighbour (KNN) algorithm, random trees, random forest decision trees, multilayer perceptron and support vector machine]. Our analysis is validated by experiments on a physical bus feeding system performed on PSS/in which we have developed a dataset for real measurement. Afterward we worked with MATLAB software to construct false measurements according to the Jacobean matrix of the state estimation. We tested the collected data with different classification algorithms, which gives good and satisfactory results.
On the Cultivation of Innovative Computer Talents in Local Universities under the Background of New Engineering

In the background of new engineering education, how to meet the new needs of social development and cultivate more high-quality computer professionals is the key to the development of computer professional education. Based on the basic idea of new engineering education, this paper renews the concept of education, strengthens the integration of production and education, and explores the training mode of computer professionals to adapt to the transformation and development of Local Application-oriented Undergraduate Colleges.
PERANCANGAN INTERIOR PERPUSTAKAAN KHUSUS YAYASANKESEJAHTERAAN ANAK BUTA (YKAB) SURAKARTA

This applied research is entitled Interior Design of the Special Library of the Blind ChildWelfare Foundation (YKAB) Surakarta. Aiming to find out the availability of libraryfacilities and their use for the blind in the Blind Child Welfare Foundation Library (YKAB)Surakarta. In addition to realizing library interior design that is friendly, comfortable,functional and safe for the visually impaired and maximizes interiors with a sense ofhearing, sense of smell and sense of touch so that the visually impaired can have maximumactivity as needed. This research uses a method that is the function approach, ergonomicsapproach, and anthropometric approach and psychological approach. The activity thatwill be carried out is to create a design drawing and prototype of the interior of the librarywhich includes a reading room, braille room, audio collection room including a design infacilities such as bookshelves, reading tables and reading chairs. With this design, it isexpected that blind people can feel comfortable, safe, and of course make it easier to findthe knowledge and information they need in the library.
Exploring Object Detection and Recognition Methods for Automated Book Inventory

As more modern technical devices with cameras are accessible to people, more photos are taken and the amount of data that is available has vastly increased. Researchers have learnt to utilise this and use images for various purposes with Deep Learning based Computer Vision. For instance, one can teach a computer to perform an automated inventory, which could be a very time consuming task. Librarians are some of the affected people, they spend a lot of their time to arrange and go through the books on the bookshelves. In an attempt to automate the inventory of books, different object detection and recognition methods have been explored in this Master Thesis. The state of the art object detection method Mask Region Convolutional Neural Network (Mask R-CNN) was used to find book spines in images and two Convolutional Neural Networks (CNN) with different loss functions; categorical cross-entropy and triplet loss, were used to recognise each book the Mask R-CNN had found. In addition, various data augmentation techniques were used to artificially expand and diversify the training dataset. The Mask R-CNN reached a mean Average Precision (mAP) of 94% on one of the test sets and the recognition networks each got 90% accuracy on the books that had been found. (Less)
Dependence Representation Learning with Convolutional Neural Networks and 2D Histograms

Researchers frequently use visualizations such as scatter plots when trying to understand how random variables are related to each other, because a single image represents numerous pieces of information. Dependency measures have been widely used to automatically detect dependencies, but these measures only take into account a few types of data, such as the strength and direction of the dependency. Based on advances in the applications of deep learning to vision, we believe that convolutional neural networks (CNNs) can come to understand dependencies by analyzing visualizations, as humans do. In this paper, we propose a method that uses CNNs to extract dependency representations from 2D histograms. We carried out three sorts of experiments and found that CNNs can learn from visual representations. In the first experiment, we used a synthetic dataset to show that CNNs can perfectly classify eight types of dependency. Then, we showed that CNNs can predict correlations based on 2D histograms of real datasets and visualize the learned dependency representation space. Finally, we applied our method and demonstrated that it performs better than the AutoLearn feature generation algorithm in terms of average classification accuracy, while generating half as many features.
AUTOMATIC CAL/VAL METHODS LOWERING PRODUCTION EFFORT OF UPDATING LARGE CORE SPATIAL DATA

Abstract. There are basically two levels of calibrations and validation of digitally acquired spectral and other information via sensors carried on space-borne or airborne platforms. The basic level is carried out by the data producers executed by comparison made of results taken over test fields for example. The second level, more a part of a supervised classification effort are carried by the data users and value added spatial information users or providers to edge users. The latter is quite typical for supervised classification protocols. This is either for establishing libraries of spectral signatures for each relevant class-type or for ad-hoc classification where no previous information or specific knowledge wee kept. Such methods indicate and support even strongly the need of the basic Cal/Val step of the sensors made by the original data providers. The paper is reviewing the method of database-driven concept that allows for automatic recognition of detected features within the digital spatial 2-D (yet) realm to its identification within the digital 2.5D spatial vector information within existing large Big-data national core spatial data bases to be updated. These Large data bases are Big enough to operate the resourceful Munchhausen method of self-pulling information out of the huge abandon of data resources.
A Contrastive Study of Japanese ‘koto/no’ and Korean ‘kes’ Clauses,

The purpose of this study is to contrast Japanese ‘koto/no’ and Korean ‘kes’ clauses in order to clarify their similarities and differences. ‘koto/no’ in Japanese ‘koto/no’ clause and ‘kes’ in Korean ‘kes’ clause, they serve as complementizers to form embedded noun clauses in Japanese and Korean. Since these are originally dependent nouns, we first analyze the features of the dependent nouns ‘koto/no’ and ‘kes’. Secondly, we contrast the ‘koto/no’ embedded noun clauses and the ‘kes’ embedded noun clauses, which are used as obligatory arguments for the verb of a matrix clause. In contrast, there are unusual ‘no’ and ‘kes’ clauses that seem to be embedded noun clause of the verb of a matrix clause in Japanese and Korean, therefore, we contrasted ‘no’ and ‘kes’ clauses. This study contrasts the similarities and differences between the Japanese ‘koto/no’ and the Korean ‘kes’ clauses, which are similar markers of grammatical functions in Korean and Japanese, namely, dependent nouns, which are originally grammaticalized and serve as complementizers to induce clauses. This study will be helpful both to teach Japanese as a foreign language and Korean as a foreign language.
A Study of Achievement of Teacher Trainees in Computer Literacy and use of ict in Education

The National Policy On Education 1986, as modified in 1992, as modified in 2019, stressed the need to employ Educational Technology to improve the quality of education. The Policy Statement led to two major centrally sponsored schemes, namely Educational Technology(ET) and Computer Literacy & Studies in Schools(CLASS)paving the way for a more Comprehensive Centrally Sponsored Scheme-Information & Communication Technology @Schools in 2004 (NEP-Revised Policy Document of ICT-2012).Information Communication Technology (ICT) is an Important curricular resource & an integral part of education, according primary to the role of the teacher(NCTE - Curriculum Framework-Two Year B.Ed. Programme).Technology itself will play an important role in the improvement of educational processes and outcomes, thus, the relationship between technology and education(at all levels) is bi-directional.(Final Draft-NEP 2019- Point No.23. Technology Use and Integration).
Fare l’americano, dagli anni Cinquanta a oggi: riflessioni sulle &lt;i&gt;cover versions&lt;/i&gt; della hit carosoniana

Since its first release in 1956, Renato Carosone’s Neapolitan swing “Tu vuò fa’ l’americano” has been covered extensively. The interest in this piece increased significantly after 1999, thanks to its use in the movie The Talented Mr. Ripley and a number of ‘interlinguistic’ covers.This study aims at identifying the main elements, both in the lyrics and in the music of the original song, that generated this flow of alternative versions, as an attempt to discern the “patchwork of references” that has become a fundamental feature of popular music (Holm-Hudson 2002). It argues that the ironic use of national and cultural stereotypes is at the core of the process of covering “Tu vuò fa’ l’americano”, together with the fundamentally intercultural sonic and textual representation of a Neapolitan-wannabe-American. Simultaneously, the musical structure has been adopted by the covers as a sort of elastic structure from which each musician and composer can extract bits that are relevant to their artistic discourse while still retaining a recognizable relationship to the original.The article is introduced by an overview of the theoretical discussion around the process of covering that gravitates around – although not restricted to – taxonomies of covers in popular music. The central part focuses on musical and textual components that inspired artists to create different versions of “Tu vuò fa’ l’americano”. It then provides an interpretation of a substantial, albeit not exhaustive, corpus of different covers of Carosone’s hit, dividing them into typologies that aim not only at pointing out the semiotic processes involved, but also at casting light on the reasons why this song has been covered within such a vast array of linguistic and stylistic contexts.
LL-KNN ACW-NB: Local Learning K-Nearest Neighbor in Absolute Correlation Weighted Naïve Bayes for Numerical Data Classification

Naïve Bayes (NB) algorithm is still in the top ten of the Data Mining algorithms because of it is simplicity, efficiency, and performance. To handle classification on numerical data, the Gaussian distribution and kernel approach can be applied to NB (GNB and KNB). However, in the process of NB classifying, attributes are considered independent, even though the assumption is not always right in many cases. Absolute Correlation Coefficient can determine correlations between attributes and work on numerical attributes, so that it can be applied for attribute weighting to GNB (ACW-NB). Furthermore, because performance of NB does not increase in large datasets, so ACW-NB can be a classifier in the local learning model, where other classification methods, such as K-Nearest Neighbor (K-NN) which are very well known in local learning can be used to obtain sub-dataset in the ACW-NB training. To reduction of noise/bias, then missing value replacement and data normalization can also be applied. This proposed method is termed "LL-KNN ACW-NB (Local Learning K-Nearest Neighbor in Absolute Correlation Weighted Naïve Bayes)," with the objective to improve the performance of NB (GNB and KNB) in handling classification on numerical data. The results of this study indicate that the LL-KNN ACW-NB is able to improve the performance of NB, with an average accuracy of 91,48%, 1,92% better than GNB and 2,86% better than KNB.&#x0D;
Deep Watching: Towards New Methods of Analyzing Visual Media in Cultural Studies

A large number of digital humanities projects focuses on text. This medial limitation may be attributed to the abundance of well-established quantitative methods applicable to text. Cultural Studies, however, analyse cultural expressions in a broad sense, including different non-textual media, physical artefacts, and performative actions. It is, to a certain extent, possible to transcribe these multi-medial phenomena in textual form; however, this transcription is difficult to automate and some information may be lost. Thus, quantitative approaches which directly access media-specific information are a desideratum for Cultural Studies.Visual media constitute a significant part of cultural production. In our paper, we propose Deep Watching as a way to analyze visual media (films, photographs, and video clips) using cutting-edge machine learning and computer vision algorithms. Unlike previous approaches, which were based on generic information such as frame differences (Howanitz 2015), color distribution (Burghardt/Wolff 2016) or used manual annotation altogether (Dunst/Hartel 2016), Deep Watching allows to automatically identify visual information (symbols, objects, persons, body language, visual configuration of the scene) in large image and video corpora. To a certain extent, Tilton and Arnold’s Distant-Viewing Toolkit uses a comparable approach (Tilton/Arnold 2018). However, by means of our customized training of state-of-the-art convolutional neural networks for object detection and face recognition we can, in comparison to this toolkit, automatically extract more information about individual frames and their contexts.
PROMISING MODELS OF ETHNOCULTURAL EDUCATION (FROM THE PRACTICE OF PRESCHOOL EDUCATION IN THE UDMURT REPUBLIC)

The article discusses the situation of preschool ethnocultural education in the Udmurt Republic. The theoretical aspects of the use of models in education are presented. To solve problems in the system of ethnocultural education, the Institute of National Education of the Republic of Udmurtia organized innovative activities in the preschool educational organizations. In order to improve the development of the native Udmurt language and culture in kindergardens, models of ethnocultural education created for the use of the “Zarni Bugor” educational complex in kindergardens of the Udmurt Republic are proposed. The analysis of educational models for the use of this educational and methodical complex in innovative kindergardens of the Institute of National Education of the Udmurt Republic is carried out. The prospects of ethnocultural education models for children in various individual educational situations are revealed. It is assumed that the proposed models of preschool ethnocultural education can be used by kindergardens of the Udmurt Republic and other regions interested in the preservation and development of native languages and cultures.