Reviewerly/exHarmony huggingface dataset:
An Alarm and Fault Association Rule Extraction Method for Power Equipment Based on Explainable Decision Tree

For the widespread alarm logs in power generation and communication network equipment, it is difficult for professional maintenance staff to locate the alarm cause and remedy equipment faults. In terms of this issue, we propose an alarm-fault rule extraction method based on explainable artificial intelligence technology. We use an alarm time sequence diagram to express alarm information and build explainable alarm statistical features, and the important features are selected based on the weight random forest algorithm. Then we use the different combinations of important features to build a series of decision trees, which is understandable. We use this method to study the association rules between alarm and fault of synchronous digital hierarchy optical communication equipment in the power system. Experimental results show that this method is effective and reliable, thus provide an effective method for intelligent analysis of alarm logs and fault location.
E-Challan System Implemented in Lahore Using Digital Image Processing

Digital Image Processing (DIP) is a rich field which provides us information of objects that are not easy to understand or about which a human does not know. Digital Image Processing has algorithms, machine learning, computer graphics and pattern recognition which are used to identify objects. Digital Image Processing helps in trace vehicles their numbers to which it belongs. The database is designed for this. DIP has very advancement which are updating day by day to resolve the daily needs of Image Processing of objects like in robots, traffic signals, sound and noise detection in images. Most of the Mobile cameras and DSLR cameras are now powered with AI and DIP to ensure they get most clarity which is required by the software to obtain results. The main purpose behind this to penultimate the drivers on traffic violations and send the E-Challans directly to their homes and they are payable in due time and otherwise fine exceeds. The violation driver is found by DIP processes which looks in database and found traffic violator and challan is send to him.
Peningkatan Soft Skill Siswa SMK PGRI Kediri Melalui Pelatihan Zahir Accounting

This activity aims to increase the knowledge and soft skills of SMK students regarding accounting software. Students are given knowledge, understanding, and training to update accounting software from the software MYOB to Zahir Accounting, which is more developed following changes in accounting science and the needs of the modern business world. The activity was carried out at SMK PGRI 3 Kediri City. The participants of the exercise were students of SMK class XII. Implementation of activities in the form of training. The method of implementing the conditioning is done through lectures, practicum, and question and answer. The action is divided into two sessions. In the first session, the material explained Zahir Accounting software. In the second session, the Zahir Accounting software practicum was held, where participants could practice the accounting cycle directly using Zahir Accounting software. The participants participated in the training activities in a conducive and enthusiastic manner. The participants had no difficulty in implementing the training
Justice Information Sharing Training and Technical Assistance Program (DOJ)

Federal Grants & ContractsVolume 45, Issue 4 p. 4-4 Grants Alerts Justice Information Sharing Training and Technical Assistance Program (DOJ) First published: 15 January 2021 https://doi.org/10.1002/fgc.31510Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume45, Issue421 January 2021Pages 4-4 RelatedInformation
Heterogeneous Graph Representation for Recommendation

With the rapid development of web services, various kinds of useful auxiliary data (a.k.a., side information) become available in recommender systems. To characterize these complex and heterogeneous auxiliary data, heterogeneous graph (HG) representation methods have been widely adopted due to the flexibility in modeling data heterogeneity. In this chapter, we introduce three HG representation based recommendation systems solving the unique challenges existing in diverse real-world scenarios, including Top-N recommendation (MCRec), cold-start recommendation (MetaHIN), and bibliographic recommendation (ASI). In the field of HG representation for recommendation, methods mainly contain three key components: HG constructions, HG representation learning and recommendation based on the HG representation.
Brunvata sist’emis sc’avlebisatvis sajaro sk’olashi /ბრუნვათა სისტემის სწავლებისათვის საჯარო სკოლაში [For Teaching the Case System in the Public School]

In parallel with the developing modern technologies, it becomes increasingly important to produce textbooks that are based on logical approaches. Our goal is to develop such ”standardized rules of the declension of nominals that will facilitate both analysis and synthesis of word forms of nominals in modern Georgian ”. The article deals with the issue of teaching the case system of Georgian by taking into consideration the 5th- and 7th-grade textbooks written by different authors using different approaches. In the available textbooks, Georgian cases are taught separately from the so-called postpositional forms of cases; this prevents the pupils from having a systemic understanding of the material. The origin of the problem should be sought in the definition of the category of case and the confusion of diachronic and synchronic aspects in textbooks: the history of the development of the grammatical phenomenon is one thing, the current state of it is another. The article deals with the classification of the case system in Georgian on the synchronic level based on logical rules – the approach is a particular novelty in terms of the methodology of teaching the case system of the Georgian language. The basic postulates are as follows: 1. The term “case” is defined as the morphological category of nominals, within the scope of which the formative suffix adds the grammatical function to a wordform (leaving the lexical meaning unchanged); 2. The case is a combination of a noun stem and a case marker; 3. The case marker may be simple (-ს [-s], -ის [-is], -ით[-it], ად[-ad], etc.) or complex//compound (-სში [-sši] “in”, -ისგან [-isgan] “from (anim.)”, -იდან [-idan] / -დან [-dan] from (inanimate), -ამდე [-amde] / -მდე [-mde] “up to”, etc.). According to the classification on the synchronic level, three logically differentiated types of cases are identified in the Georgian language: 1. a simple case: nominal stem + simple case marker (დედა-ს [deda-s] “mother/to mother”, ქვეყნ-ად [kveqnad] “on the earth”); 2. a complex (compound) case: nominal stem + complex (compound) case marker (ლომ-ივით [lomi-vit] “like a lion”, ხე-სთან [xe-stan] “at the tree”); a complex case marker is constructed by merging a simple case marker with a postposition and expresses additional grammatical or semantic nuances; 3. a case with a postposition: nominal stem + simple case marker + separate auxiliary word //postposition (კაც-ის მიერ / გამო [kac-is mier/gamo “by / because of a man”). The proposed approach will simplify the process of learning and understanding the paradigm of the noun in a systemic way, on the one hand, and will assist in developing the software for machine translation, on the other hand. საკვანძო სიტყვები: ქართული ენა, ბრუნვათა სისტემა, რთული და მარტივი ბრუნვები, თანდებულიანი ბრუნვები. Keywords: Georgian language, case system, simple and complex cases, cases with postpositions.
Machine Learning Methods for Trust-based Selection of Web Services

Web services instances can be classified into two categories, namely trusted and untrusted from users.A web service with high throughput (TP) and low response time (RT) instance values is a trusted web service.Web services are not trustworthy due to the mismatch in the guaranteed instance values and the actual values achieved by users.To perform web services selection from users' attained TP and RT values, we need to verify the correct prediction of trusted and untrusted instances from invoked web services.This accurate prediction of web services instances is used to perform the selection of web services.We propose to construct fuzzy rules to label web services instances correctly.This paper presents web services selection using a well-known machine learning algorithm, namely REPTree, for the correct prediction of trusted and untrusted instances.Performance comparison of REPTree with five machine learning models is conducted on web services datasets.We have performed experiments on web services datasets using a ten k-fold cross-validation method.To evaluate the performance of the REPTree classifier, we used accuracy metrics (Sensitivity and Specificity).Experimental results showed that web service (WS1) gained top selection score with the (47.0588%) trusted instances, and web service (WS2) was selected the least with (25.00%) trusted instances.Evaluation results of the proposed web services selection approach were found as (asymptotic sig.= 0.019), demonstrating the relationship between final selection and recommended trust score of web services.
Efficient FPGA Implementation of Human Detection from Video Sequences

Detection of Human is a vital and difficult task in computer vision applications like a police investigation, vehicle tracking, and human following. Human detection in video stream is very important in public security management. In such security related cases detecting an object in the video, sequences are very important to understand the behavior of moving objects which normally used in the background subtraction technique. The input data is preprocessed using a modified median filter and Haar transform. The region of interest is extracted using a background subtraction algorithm with remaining spikes removed using threshold technique. The proposed architecture is coded using standard VHDL language and performance is checked in the Spartan-6 FPGA board. The comparison result shows that the proposed architecture is better than the existing method in both hardware and image quality.
Real Time Conversion of Hand Gestures to Speech using Vision Based Technique

Sign Language is one of the most common approaches of communication usually used by people having hearing and speech impairment. These languages consist of well-defined set of gestures or pattern and sequence of actions that conveys meaningful words and sentences. The paper presents different algorithms and techniques for automation of single hand gesture detection and recognition using vision based methods. The paper uses basic structure of hand and properties like centroid for detecting the pattern formed by the fingers and thumb and assigning code bits i.e. converting each gesture into a set of 5 digits representation and motion is detected using movement of centroid in each frame. The paper uses techniques like K-means Clustering or Thresholding for background elimination; Convex Hull or a proposed algorithm for peak detection and text to speech API for conversion of words/sentences corresponding to gestures to speech. Combinations of different techniques like thresholding and convex hull or Clustering and proposed algorithm is implemented and results are compared.
Heterogeneous Graph Representation for Text Mining

Heterogeneous graph representation techniques can be applied in many real-world applications. Even the natural languages that are usually modeled as sequential data can also be constructed as a heterogeneous graph by some techniques, so as to widely and accurately capture the complex interactions among the words, entities, topics, instances, and other components of the texts. In this chapter, we focus on summarizing the heterogeneous graph representation applications on text mining. Particularly, we introduce several heterogeneous graph based text mining methods, including HGAT for short text classification, GUND and GNewsRec for news recommendation. In the field of heterogeneous graph representation for text mining, methods mainly contain two key components: heterogeneous graph construction from texts and heterogeneous graph representation algorithm for tasks. We will roughly illustrate heterogeneous graph modeling for text mining tasks from these two points.
The use of technology in a Technical English classroom

Teachers are experiencing important changes, whether they have already turned into reality or not, in the daily classroom work in most of our school centres due to the progressive establishment and incorporation of ICTS. These changes allow the development of new didactic materials of an electronic nature which use varied and different standings for their carrying into practice. These new standings of information generate a huge communicative innovation provoking as such new settings of collaborative learning process. With the scope of getting used to the needs of the present society of knowledge, the Spanish education system in all its areas of knowledge, specifically that of Technical English, and by extension the whole scholar network, must develop new ways of integrating the new information and communication technologies in its daily teaching practice. It is also advisable, at the same time, a change of mentality so as to face the traditional roles assumed by both teachers and students in these teaching practices. This is mainly reflected in the proper channels of communication as well as in the design of new methodologies and teaching practices. The aim of this article is to set the role of the modern FL teacher in a Technical English classroom when facing the massive use of ICTs in the teaching-learning process as well as all the resources at their disposal for their didactic exploitation. We will focus our attention in those specific cases of FL teachers and the wide range of resources which they can make use of. Henceforth, we will deepen in this article the need to get used to the new methodological tendencies and the possibilities that the use of ICTs allows us in our daily classroom practice. Therefore, we will enumerate some practical methodological orientations so as to be able to face them in a serious, determined, organized, and structured way.
(Algoritmo basado en teoría de grafos para la contención de la expansión de un brote epidémico viral: Una posible solución en lugares donde empieza el Covid 19) (Theoretical Algorithm to Contain the Spread of a Viral Epidemic Outbreak: This Is a Possible Solution in Places Where the COVID-19 Outbreak Begins)

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PENGGUNAAN MEDIA GAMBAR PUTAR PADA PROSES PEMBELAJARAN BAHASA DI TKM NU 134 HIDAYATUL UMMAH BALONGPANGGANG GRESIK

Aspects of language development is an important ability in the growth and development of children. Not all children aged 5-6 years are able to achieve very well developed indicators in language development. This encourages teachers to use learning media so that children's language skills can improve. The teacher applies the use of rotating image media in language learning. This research includes qualitative descriptive research. The purpose of this study was to determine the use of rotating image media in language learning in group B TKM NU 134 Hidayatul Ummah. The results showed that out of 47 children, children who met the achievement of indicators were at the BSB level (Developing Very Well), namely 18 and BSH (Developing According to Expectations) as many as 19. However, there were 10 children who did not meet the achievement indicators, so how many at the MB level (Starting from Develop). From these data, it can be concluded that the use of rotating image media in the language learning process at TKM NU 134 Hidayatul Ummah is quite effective because most of the children are enthusiastic and meet the achievement indicators.
Listening Barriers in English Proficiency Test in English Education Department of Universitas Muhammadiyah Gresik

English Proficiency Test (EPT) has been utilized widely to measure the skills of English learners. On the other hand, each test has its challenges and uniqueness. This current research aims to investigate the specific problem encountered by English language learners during English Proficiency Test (EPT) in Universitas Muhammadiyah Gresik. The problem is specific to listening where a lot of learners frequently have difficulties. Participants of this study are 30 Learners from the English education department of Universitas Muhammadiyah Gresik from the 3rd to the 5th semester. The result reveals that among the common challenges in listening skills in EPT, the most frustrating barrier is the occurrence of unfamiliar words, including jargon and idioms. There are 60% who agree that it is the most challenging part, while only 3.3% do not. It may happen as Idioms will be extremely hard for several students since idioms are similar to describe a genuine position regardless theportray of other situations with different meanings. The following research is encouraged to investigate other aspects of English skills in the EPT and more participants to discover the appropriate method to tackle the barriers.
Teaching Reading Comprehension Through Genre-Based Approach (GBA) at Senior High School

This research is about teaching reading comprehension through a genre-based approach (GBA) at senior high school. The study aimed to increase students' reading comprehension in the eighth grade at SMP Negeri 1 Sibulue through the Genre-Based Approach (GBA). This research used Classroom Action Research (CAR) that consisted of two cycles. The research subject was the eighth grade of SMP Negeri 1 Sibulue academic year 2021/2022 that consisting of 25 students. The researcher obtained the data by using a reading test and observation sheet. The results of the students’ reading tests in cycle I and cycle II had significantly different scores. There was a better increase of gains by students at the end of the action of the second cycle. The results of the study showed that the score in the first cycle to the second cycle increased based on the value of the first cycle of 61.80 and the second cycle showed 75.80. It could be stated that the student's reading comprehension at the eighth grade of SMP Negeri 1 Sibulue was at a fairly good level after the test in the first cycle and increased to a good level after the test in the second cycle.
Formation of the ecosystem of the educational program based on social networking sites technology

Анотація.The paper investigates the problem of transforming existing approaches to the formation of new effective links between universities and all stakeholders, which becomes the basis for creating competitive educational programs.The purpose of the study is to determine the prerequisites for the formation of an ecosystem and substantiate the concept of interaction between key stakeholders of the educational program based on partnership, network communications and digital transformation.Based on results of the SWOT analysis of the acting master's educational programs, where the authors work, the feasibility of forming information and communication space of educational program as an ecosystem with the use of all opportunities provided by digital technologies is proved, in particular: the reasons for the inefficiency of existing communication channels within university educational programs are discovered; opportunities and limitations of social networking technology in the deployment of the educational program SMART platform are revealed; the concept of such a virtual space is proposed; benefits of the platform for key stakeholders in the educational program are substantially analyzed.SMART platform architectonics of the educational pro-
On Some Errors in Seismic Data in Highly-Cited Literature on Base Isolation

Several errors have been found in information and data of seismic records in academically published work. These inaccuracies involve use of vertical instead of horizontal signals, wrong peak velocities and peak accelerations. The mistakes were encountered in top cited publications regarding near-fault effects and the large base displacement problem in isolated structures. A reason for these errors is suggested.
An Intelligent Hybrid Text-To-Image Synthesis Model for Generating Realistic Human Faces

Text-to-image synthesis is referring to converting textual features into pixels, which requires a full understanding of the connection between the natural language text and visual features. What this paper presents is an intelligent hybrid model for converting the textual description into an image; this model depends on the proposed models; AttnGAN and DM-GAN called DMAttn GAN. We focused on applying text-to-image composition or conditional image generation on a new category of the images like human faces. We build a new dataset for text-to-face synthesis which doesn’t get attention because of how challenging this area is as well as the lack of the availability of a suitable dataset. We evaluate the model on faces dataset using the Frechet Inception Distance (FID) with achieving a score of 43.815.
ESTIMAÇÃO DE IRRADIÂNCIA E TEMPERATURA EM UM SISTEMA FOTOVOLTAICO TÍPICO

The auscultation of lung sounds is a technique frequently used in medicine for the diagnosis of diseases or disorders on the respiratory system. The conventional stethoscope is an instrument used for auscultation and its proper use requires practice and experience. This article presents the development of an electronic system for recording sounds coming from pulmonary auscultation, which is going to be recorded, analyzed and compared, through two types of auscultation. Signal acquisition and conditioning circuits, analog and digital filters, amplification circuits and signal reconstruction circuitswere implemented with the aim of facilitating the identification of any disorders.The results obtained are presented and discussed, providing a clear scenario of the advantages and disadvantages between the use of electret and PZT sensors.
Barter to Cryptocurrency – Issues and Challenges for The World Economy

Global residents are undergoing a cutting-edge and inventive technological revolution that is putting our current systems to the test and altering the way individuals do a range of jobs. Global residents have experienced various developments that have had a significant impact on their everyday lives, ranging from the barter system to the invention of information, communication, and technology (ICT). In today’s environment, people employ smart phones, cloud computing, artificial intelligence, machine learning, big data, the internet of things (IoT), and other technologies. These innovations are not just replacing previous technologies, but also transforming our economy into one that is more computerised and centric on innovation. Governments create fiat currencies and regulate their value, but they have no authority over their worth. Cryptocurrencies, on the other hand, are essentially decentralised. Members of the cryptocurrency community, miners, and the general public who participate in transactions manage cryptocurrency. Cryptocurrency miners process, confirm, and verify transactions, and successful transactions are recorded on the blockchain, a public and distributed ledger. Bitcoin is one of the highly known examples of the same.