Reviewerly/exHarmony huggingface dataset:
OUTLIER DETECTION TECHNIQUE USING CT-OCSVM AND FUZZY RULE-BASED SYSTEM IN WIRELESS SENSOR NETWORKS

The development of Wireless Sensor Networks (WSNs) has been attained in the past few years due to its important using in wide range of application. The readings of data derived from WSN nodes are not always accurate and may contain abnormal data. This paper proposed an anomaly detection and classification algorithm in WSNs. At first, an integration of Contourlet Transform (CT) algorithm and One Class Support Vector Machine (OCSVM) algorithm (CT-OCSVM) is utilized to detect outliers then Fuzzy Inference System (FIS) is used to identify the source of these outliers. The underlying aim of this paper focuses on treating the collected streams of data as raw datum of an image, which is then passed through some filters using CT to get compressed size of directional subbands coefficients. The coefficients of CT are examined by OCSVM algorithm to detect anomalies. Finally the source of anomalies is identified based on using FIS and by exploiting the spatial temporal correlation existing between the sensed data. The integrated algorithm is tested using different types of filters. Real datasets collected from a small WSN constructed in a local lab are used for testing the integrated algorithms. The simulation results have shown a high rate of accurate classification with high detection rate and low false alarm rate.
Pelatihan Penerapan Note-Taking System Untuk Meningkatkan Pemahaman Konsep Bagi Guru SMPIT Madani Pekanbaru

The community service undertaken aims to provide training to the teachers of SMPIT Madani Pekanbaru in order to increase the ability of teachers to understand the concept of material provided by presenters from various sources from seminars, workshops, FGDs or other activities, make it easier for teachers to remember the material presented and be more focused and also help teachers in compiling and processing information obtained through interesting notes so that they are easier to recall what they got in the material delivered by the presenters. To achieve the objectives of this community service (PPM) activity, the implementers used the lecture, discussion and practicum methods so that the trainees could easily understand the material provided at the training. The activities carried out were participated by the teachers at SMPIT Madani Pekanbaru. This activity is on target as evidenced by the enthusiasm of the teacher in following the entire process of activities. They are very active in discussing and interacting when given a material concept and instructing them to take notes with various Note-taking Systems.&#x0D; &#x0D; Keywords: Community Service, Note-taking System, Understanding the Concept
The Dominant Errors of Speech Production Committed in Speaking Class Interaction

This study describes the dominant errors committed by the first and third-semester students of the English Education Department of UII. The aim of this research is to describe the dominant errors committed by the first and third-semester students of UII. This is a qualitative research study. The researcher collects the data through an audio recording, listens and makes the script from the audio recording, read the script and identifies the data, selects the data, and classifies the silent pause of error and filled the pause. The researcher analyses the data uses the theory of Clark and Clark and Dulay. The result indicates that the total errors are 84 utterances containing 108 silent pauses for the first semester and 32 Utterances containing 34 silent pauses for the third semester, and 51 utterances containing 57 filled pauses for the first-semester student and 89 utterances containing 124 filled pauses for the third semester students. Silent pause is the dominant errors made by the first semester students and filled pause is the dominant errors made by the third semester student. The error sources are cognitive reason and situational anxiety.
Assessing drought from satellite data to support agricultural production

Drought is one of the disasters causing the problems to the economy and social life of people, especially where agriculture is the main source of income. The paper presents the results of studying the application of optical satellite images to investigate the drought situation for the southern part of Binh Phuoc province for perennial cropland, the main agricultural crop of the province. The image used is Landsat 8 of the dry season month 2015. The method of drought assessment is based on the relationship of surface temperature, and the Normalization Difference Vegetation Index (NDVI) integrated into the Temperature-Vegetation Dryness Index TVDI. In particular, the NDVI index is determined from the red and near-infrared bands, and the surface temperature is determined from the thermal infrared band of Landsat 8 images. The results show that the whole area of southern Binh Phuoc has drought area accounting for 54.9% of the total area, of which the majority is mild drought level 38.3%, high and serious level is 16.7%. About the area of perennial land has drought area accounted for 33.76% of the total area, of which Dong Xoai town has the highest percentage of drought-affected areas compare to other districts. The results of the study aimed to identify drought areas with different levels so that managers can promptly take measures to protect agricultural crops and to ensure people's livelihoods in the global climate change trend seriously affecting the localities today.
Dukungan Sosial dalam Bentuk Pesta Sekolah dengan Motivasi Berprestasi Mahasiswa Manggarai

Pesta Sekolah are events in social community in Manggarai when the community member wants to continue their studies but are constrained by costs. Pesta Sekolah is a form of social support in the Manggarai community which is reflected in the form of caring and assistance both morally and materially to fellow members. There are Manggarai students who continue their studies at tertiary institutions who have outstanding achievements, however not frequently there are students who do not complete their studies. This study aims to analyze the relationship of social support in the form of a school party with achievement motivation in Manggarai students in Kupang City. The research type is quantitative research. The population is taken based on criteria while sampling uses a total sampling of 71 students from three Manggarai regional organizations in Kupang City. Analysis using Product Moment Pearson Correlation shows that there is a significant relationship between social support in the form of Pesta Sekolah and achievement motivation (r= 0.680; ƿ &lt;0.05).
An Improved AdaBoost Algorithm for Handwriting Digits Recognition

This paper focuses on the improvement of accuracy and efficiency of the traditional AdaBoost algorithm for numerical recognition that updates the weights both for the observations and weak classifiers on each iteration. In this study, the authors use an improved version of AdaBoost algorithm with softmax, SVM, CNN, NN, and Random forest as its base classifiers to recognize the handwriting digits with higher accuracy in a more efficient way. Compared with the traditional AdaBoost algorithm, the improved algorithm could reach the same accuracy with fewer runs. A closer analysis of the algorithm reveals that this kind of mixing structure has the virtue of being flexible, open-ended, and without over-fitting problems for the out-of-sample observations.
Perception of phraseological units by Russian-speaking children and adolescents taking antiepieptic medication

The article presents the results of assessing the specifics of the perception of phraseological units (idioms and proverbs) in Russian-speaking children and adolescents receiving antiepileptic therapy (valproic acid).Phraseological units are subtle diagnostic markers in detecting cognitive decline and speech disorders, which necessitates their use in the diagnosis of speech development dynamics, especially in this group of informants.Evaluation of the results was first carried out before the appointment of treatment, then at the time intervals of 3, 6, 9, 12 and 18 months after the start of treatment with the help of the battery for express assessment of cognitive functions and speech status in comparison with the control group represented by Russian-speaking normotypical children and adolescents without neurological disorders.As a result of comparing the data for the study group and the control group, it was found that valproic acid affects the success of understanding phraseological units in children and adolescents with idiopathic generalized epilepsy receiving antiepileptic therapy: eighteen months after taking the drug, the differences between the control group and the study group are statistically significant.The results of the study show that in case of persistent worsening of speech functions, this group of patients needs neurolinguistic assessment during therapy in order to correct the treatment regimen.
Automated Crime Patterns Analysis Framework for Predictive Policing using Data Mining Techniques

The aim of this research is to study and develop an automatable technological framework that can be used to identify contributing attributes, patterns and trends from reported cases using data mining techniques.A combination of classification and association rules based data mining approach has been proposed for this study due to its effectiveness in bringing out patterns and trends that are interlinked, related and near each other.
Online Management System Berbasis Web Pada SMK Multistudi High School Batam

Merancang sebuah aplikasi dalam pelayanan menejemen sistem Informasi secara online yang berbasis web merupakan tujuan dasar dari penelitian ini. Didalam aplikasi ini di rancang khusus informasi tentang profil sekolah, fasilitas yang ada, prestasi yang pernah di raih, memberi kemudahan dalam registrasi siswa baru, pemberitahuan pembayaran SPP, dan kondisi keuangan sekolah sehingga menjadi profile lengkap dari sebuah sekolah. Dengan demikian dapat menjadi transparansi bagi siswa dalam mengikuti setiap kegiatan. Aplikasi ini menggunakan sistem pelayanan dalam bentuk digital dirancang dengan menggunakan Bahasa ASP menggunakan Visual Studio dan database SQL Server. Sistem pelayanan dan transaksi digital akan membantu seluruh orang tua dalam menentukan pilihan bagi putra putrinya. Metode penelitian ini menggunakan metode analisa deskriptif kualitatif oleh karena itu pengumpulan data dilakukan dengan cara observasi dan teknik wawancara.&#x0D; &#x0D; Kata kunci: online management, system informasi, manajemen pelayanan&#x0D; &#x0D; Abstract&#x0D; Designing an application in web-based online information system management services is the basic objective of this research. In this application specially designed information about school profiles, existing facilities, achievements that have been achieved making it easy to register new students, notification of tuition payments, and the financial condition of the school so that it becomes a complete profile of a school. Thus it can become transparency for students in participating in each activity. This application uses a service system in digital form designed using the ASP Language using Visual Studio and SQL Server databases. The digital service and transaction system will help all parents in making choices for their children. This research method uses descriptive qualitative analysis method therefore data collection is done by observation and interview techniques.&#x0D; Keywords: online management, information systems, service management
Use of Indonesian Language in Space Outside Media in City of Timika

The strategic position of the Indonesian language for the Indonesian people is reflected in the third pledge of the Youth Pledge in 1928 which reads "We sons of Indonesia uphold the united language of Indonesian" and the 1945 Constitution Article 36 which states that "the language of the country is Indonesian". The aim of the study was to describe the use of Indonesian in outdoor media in the City of Timika. This study is focused on spelling mistakes, misuse of word choices, and sentence errors. The method used in this study is descriptive qualitative method and prescriptive technique, namely by describing and explaining the findings in the field and providing solutions to the problems found in the use of Indonesian in public spaces in Timika City. The results of this study showed that the forms of errors found in the use of Indonesian in the public area are spelling error, punctuation error, and writing error in absorption elements. The form of spelling errors consists of the use of letters, use of diphthong letters, use of capital letters, consonant combined letter, use of words, basic word, the word affix, reshape, word combination, preposition, abbreviations and acronyms. Meanwhile, the form of punctuation error consists of dot, commas, colon, hyphen, dash, exclamation mark, quotation mark, brackets, and italic line. Furthermore, the form of writing error in absorption elements consists of the use of sentences and words choice. In conclusion, there are still some errors found in public spaces in Timika city.
Effects of Different Exercise Intensity on Mental Health and Self-Efficacy of Obese College Students

In recent years, due to the lack of compulsory constraints in physical education, many college students have r educed physical exercise,therefor, the obesity symptoms of college students have became increasingly prominent.In addition,the lack of physical exercise causes other healthy issues of college students as well.This paper explores the influence of different exercise intensity on obese college students through empirical research.The results showed that under the condition of voluntary participation in exercise, high-intensity exercise significantly improved the mental health of obese college students, and medium-intensity exercise significantly improved the self-efficacy of obese college students than high-intensity exercise.
Optimal capacity allocation of multiple solar trackers and storage capacity for utility-scale photovoltaic plants considering output characteristics and complementary demand

Abstract The most striking features of solar energy are its intermittency and instability resulting from environmental influence. Combination of different solar trackers can be a feasible option to stabilize output fluctuations. The main aim of this study was to analyze the optimal capacity allocation of multiple solar trackers and storage capacity. In this regard, a multi-objective optimization model considering fluctuations and the net present value was developed. A desert area in the west of China was considered as the case study. Results indicate that: (1) horizontal-axis trackers and its bifacial modules have complementarity with other kinds of solar trackers; (2) fluctuations of the photovoltaic plant with optimal capacity allocation can be significantly reduced; (3) optimal capacity allocation is sensitive to the feed-in tariff and the adjustment value of automatic generation control; (4) energy storage is crucial to improving the stability of the photovoltaic system while its capacity is constrained by the cost. The novel capacity allocation method does not only improve the stability and benefit of the utility-scale grid-connected photovoltaic plant but also provides a valuable reference for the optimal utilization of other renewable energy resources worldwide.
Study on Statistical Analysis Method of Decoy-state Quantum Key Distribution with Finite-length Data

In order to solve the statistical fluctuation problem caused by the finite data length in the practical quantum key distribution system, four commonly used statistical methods, DeMoivre-Laplace theorem, Chebyshev inequality, Chernoff boundary and Hoeffding boundary, are used to analyze. The application conditions of each method are discussed, and the effects of data length and confidence level on quantum key distribution security performance are simulated and analyzed. The simulation results show that the applicable conditions of Chernoff boundary are most consistent with the reality of the practical quantum key distribution system with finite-length data. Under the same experimental conditions, the secure key generation rate and secure transmission distance obtained by Chernoff boundary are better than those of the other three methods. When the data length and confidence level change, the stability of the security performance obtained by the Chernoff boundary is the best.
Is it Easier to Prove Theorems that are Guaranteed to be True

Consider the following two fundamental open problems in complexity theory: •Does a hard-on-average language in NP imply the existence of one-way functions? •Does a hard-on-average language in NP imply a hard-on-average problem in TFNP (i.e., the class of total NP search problem)? Our main result is that the answer to (at least) one of these questions is yes. Both one-way functions and problems in TFNP can be interpreted as promise-true distributional NP search problems-namely, distributional search problems where the sampler only samples true statements. As a direct corollary of the above result, we thus get that the existence of a hard-on-average distributional NP search problem implies a hard-on-average promise-true distributional NP search problem. In other words, It is no easier to find witnesses (a.k.a. proofs) for efficiently-sampled statements (theorems) that are guaranteed to be true. This result follows from a more general study of interactive puzzles-a generalization of average-case hardness in NP- and in particular, a novel round-collapse theorem for computationally-sound protocols, analogous to Babai-Moran's celebrated round-collapse theorem for information-theoretically sound protocols. As another consequence of this treatment, we show that the existence of $O(1)$ -round public-coin non-trivial arguments (i.e., argument systems that are not proofs) imply the existence of a hard-on-average problem in NP/poly.
Technology Trend Prediction from Social Media using Long Short Term Memory Network

The present study aims to develop a deep learning based data analysis model which would act as a framework for efficient implementation of Social Media Analysis (SMA).This framework combines four process for data analysis i) Data collection, ii) Pre-processing, iii) Technology Classification and iv) Technology Trend prediction.The study uses hybrid model of Deep Feed Forward Neural Network (DNN) and Long Short Term Memory (LSTM) network.The technology and tools learned by people becomes obsolete in short period of time.As I.T. industry required frequent upgrades in knowledge and new technologies are being released, it is essential to track and know new upcoming technology trend of the field.To achieve this aim deep learning model is developed to identify upcoming technologies from social media threads.This paper presents LSTM trend prediction model to predict technology trends from unstructured text content of social media sources.The proposed method ensembles classification and regression process in single architecture.First, it uses deep learning algorithm to build a classifier to correctly predict the technology topic of a discussion thread from its description.After technology identification, how frequently that technology is discussed with respect to time is calculated to generate temporal series of frequencies.The Long Short Term Memory (LSTM) network is combined with Deep Feed Forward Neural Network model for processing temporal topic sequence and frequencies recursively to predict technology trends from of social posts generated on social platforms.
A Systematic Approach to English to Bangla Sentence Translator

This paper deals with the design and development of an expert sentence translation system. In this translator, the source language is English, and the target language is Bangla. The implemented translation system determines the relationship among different forms of English and Bengali sentences and makes appropriate correspondence between English and Bengali grammar. Here, we have been developing a top-down parsing program. The system incorporates itself with the dictionary and gives the corresponding Bengali meaning. The system performs translation procedure in three steps. The lexical analyzer reads the English sentence, tokenizes into words, and stores information into a stack. The lexical analyzer uses the English to Bangla dictionary and word morphology for finding lexical information. The parser parses the input sentence and identifies the types of it and finds tense, phrase, clauses, etc. The generator generates a Bangla sentence, which is equivalent to the given input English sentence. It uses the output of the lexical analyzer and the parser to make Bengali sentence. This system can translate all kinds of sentences. But the limitation is that it cannot handle semantic and contextual problems.
A Procedural Model for the Design of Informatics Competency Proficiency Assistance Systems Based on Ubiquitous Learning

Many concerns from the world of work that the competence of graduates, especially in the field of informatics, is inadequate and not crucial to the needs of the workforce, because the performance of the learning outcomes of the curriculum is not synchronous between the world of education and the world of business.Thus, needs bridges to meet the needs of the business world and education world through competency proficiency.The research aims are to generate a procedural model that show procedural steps that will guide when developing an assistance system for the competency proficiency test.We combine the model with blended/hybrid learning as learning alternative in the era of industrial revolution 4.0.The Research and Development approach and the characteristics of the model developed in this study broadly combine three interrelated system development models, namely the Borg and Gall model as the backbone, Hanafin and Pack as the process of learning interaction and the Waterfall model as the creation of a companion application system.We also pay attention to the relationship between the share of academic, professional associations and government regulation in the form of the National Framework Scheme Indonesia (SKKNI) to the application of the results of this research is a Companion Certificate Diploma (SPKI) can do together.A procedural model is a development method of a mentoring framework which bridges industry and campus-based Ubiquitous Learning.
THE USE OF ANAGRAMS TO INCREASE STUDENTS’ ENGLISH VOCABULARY MASTERY

The objective of the research was to find out whether Anagrams increased students’ vocabulary mastery and to find out how was the students’ mastery in learning vocabulary by using Anagrams. The subject of this research was the second year students of MTs Al Washliyah 32 Sei Bamban in academic year 2018/2019 which consisted of thirty people. In this research, it was applied the Classroom Action Research (CAR). Technique of collecting the data was to use a written test, in a certain topic applied in Anagram technique where the researcher made the indicators as the test consisted of twenty where each number amounts to 5. Then the researcher observed the students’ action while the use of Anagram technique was implemented and also the students’ opinion about the effectiveness of Anagram technique toward their vocabulary mastery. The result of the research showed that the students’ score in the second cycle was higher (85-95) than the first cycle (68-90). In other words it indicated that the use of Anagrams really increase students’ vocabulary mastery.
Modeling the system of increasing economic independence of Russia higher educational institutions' students

The article presents the results of students' self-esteem of their economic independence and financial literacy, discusses the problems and prospects of increasing the economic independence of Russian students, proposes a model and mechanisms to increase the students' economic independence.