Reviewerly/exHarmony huggingface dataset:
Improved Neighborhood Based Switching Filter for Protecting the Thin Curves in Arbitrary Direction in Color Images

Although the classical vector median filter (VMF) has been widely used to suppress the impulse noise in the color image, many thin color curve pixels aligned in arbitrary directions are usually removed out as impulse noise. This serious problem can be solved by the proposed method that can protect the thin curves in arbitrary direction in color image and remove out the impulse noise at the same time. Firstly, samples in the 3x3 filter window are considered to preliminarily detect whether the center pixel is corrupted by impulse noise or not. Then, samples outside a 5x5 filter window are conditionally and partly considered to accurately distinguish the impulse noise and the noise-free pixel. At last, based on the previous outputs, samples on the processed positions in a 3x3 filter window are chosen as the samples of VMF operation to suppress the impulse noise. Extensive experimental results indicate that the proposed algorithm can be used to remove the impulse noise of color image while protecting the thin curves in arbitrary directions.
Effects of Voluntary Activities Motivation of the Youths on the Development of Citizenship

In a democratic country, the right citizenship is of paramount importance, especially for youth with suffrage.So, this study examined how demographic characteristics, volunteer period, volunteer time of the youth affects the formation of citizenship.And Voluntary Activities Motivation(self-development motivation, representative motivation, external motivation, leisure motivation) of the youth affect the formation of citizenship(community consciousness, compliance consciousness, equality consciousness).A total of 127 valid responses were obtained and a t-test and one way ANOVA have been performed using the SPSS WIN 21.0 program.The results of the analysis are as follows.As a result, first, the representative motivation (β =.601, p<.001), the external motivation (β =.168, p<.05), self-development motivation (β=.135, p.05) had a positive (+) effect on the citizen consciousness in order.Second, the representative motivation (β = .972,p <.001) and the self-development motivation (β = .086,p <.05) had a positive (+) effect, while the external motivation(β =-.085, p<.05) had a negative(-) effect on the citizenship.Third, leisure motivation (β = .486, p <.01), self-development motivation (β = .231,p <.001) and representative motivation (β = .217,p <.001) had a positive effect on citizenship.First and foremost, it is necessary to establish a program to make volunteer activities readily available, thus giving youth external motivation to continue participation.Opportunities should be provided for teenagers to do volunteer work related to their interests, in order to provide them with self-development motivation.Options to participate in volunteer activities that are connected with community groups should be available to supply youth with representative motivation.Fourth, to give external motivation, it is suggested to actively provide opportunities to participate in volunteer activities so that youth can continue volunteer activities.Lastly, to give leisure motivation, youth should participate in volunteer activities happily through play.
Predictive Neural Network in Multipurpose Self-Tuning Controller

Abstract A very important problem in designing of controlling systems is to choose the right type of architecture of controller. And it is always a compromise between accuracy, difficulty in setting up, technical complexity and cost, expandability, flexibility and so on. In this paper, multipurpose adaptive controller with implementation of artificial neural network is offered as an answer to a wide range of tasks related to regulation. The effectiveness of the approach is demonstrated by the example of an adaptive thermostat. It also compares its capabilities with those of classic PID controller. The core of this approach is the use of an artificial neural network capable of predicting the behaviour of controlled object within its known range of parameters. Since such a network, being trained, is a model of a regulated system with arbitrary precision, it can be analysed to make optimal management decisions at the moment or in a number of steps. Network learning algorithm is backpropagation and its modified version is used to analyse an already trained network in order to find the optimal solution for the regulator. Software implementation, such as graphical user interface, routines related to neural network and many other, is done using Java programming language and Processing open-source integrated development environment.
U-Net Based Model for Obfuscated Human Faces Reconstruction

Zemmouri, Elmoukhtar Yakoubi, Youssef Douimi, Mohammed Saadi, AdilProtecting the identity of users in social networks and photographic media has become one of the most important concerns, especially with the breakthrough of internet and information technology. Thus several techniques, such as blurring and pixelization, have been introduced by privacy-protection technology designers to make the features of a user’s face unrecognizable. However, many researchers pointed out the ineffectiveness of these techniques. In this paper with deal with the problem of reconstructing obfuscated human faces. We propose a Deep Neural Network based on U-Net and trained on Labeled Faces in the Wild (LFW) dataset. Our model is evaluated using two image quality metrics PSNR and SSIM. Experimental results show the ability of our model to reconstruct images that have underwent different forms of obfuscation (blurring and pixelization) with great accuracy, outperforming previous work.
LibGuides: OverDrive / Libby: Navigation

This guide will take a look at OverDrive and give you a general understanding on how it works, what it is, and how you can use it.
Quasi-symplectic Langevin Variational Autoencoder

Variational autoencoder (VAE) is a very popular and well-investigated generative model in neural learning research. To leverage VAE in practical tasks dealing with a massive dataset of large dimensions, it is required to deal with the difficulty of building low variance evidence lower bounds (ELBO). Markov Chain Monte Carlo (MCMC) is an effective approach to tighten the ELBO for approximating the posterior distribution and Hamiltonian Variational Autoencoder (HVAE) is an effective MCMC inspired approach for constructing a low-variance ELBO that is amenable to the reparameterization trick. The HVAE adapted the Hamiltonian dynamic flow into variational inference that significantly improves the performance of the posterior estimation. We propose in this work a Langevin dynamic flow-based inference approach by incorporating the gradients information in the inference process through the Langevin dynamic which is a kind of MCMC based method similar to HVAE. Specifically, we employ a quasi-symplectic integrator to cope with the prohibit problem of the Hessian computing in naive Langevin flow. We show the theoretical and practical effectiveness of the proposed framework with other gradient flow-based methods.
FUTURE PRIMARY SCHOOL TEACHERS TRAINING FOR PUPILS ECONOMIC UPBRINGING

The paper focuses on one of the issues of training highly qualified specialists of the modern school, that is, training future primary school teachers for the economic upbringing of younger pupils in the context of globalization processes. The author emphasizes the significant gap between the real state of affairs in general secondary education, higher education institution and today’s challenges, as well as the lack of coordination between them, which does not allow one to provide the economic component of professional teacher training. There appears to be a need to cultivate economic consciousness and thinking, as well as to ensure initial economic training of pupils. Such qualities as entrepreneurship, responsibility, organization and thrift are of great importance. Economic education as a socially valuable quality allows one to use time rationally, creates conditions for raising interests in high-performance and efficient work, helps calculate the family budget properly and manage the household. Economic culture as an integral part of general culture should be cultivated from early years in school. Primary school teachers play an essential role in solving this particular issue. Their purposeful training depends on the quality of training and upbringing of young people, as well as full inclusion in life and effective work under modern conditions of social development. Thus, one can conclude that professional training of future primary school teachers is not focused on the development of economic knowledge in younger pupils. In this case, economic self-study presented to younger pupils based on their life experience is likely to have negative results since it does not offer pupils different approaches to solving this or that issue. The introduction of primary school counselling, didactic and economics in the curricula for training future primary school teachers should have a positive impact on their expertise and ability to provide quality education and upbringing of pupils.
Image Retrieval Using Data Mining Technique

Even though image retrieval is considered as one of the most important research areas in the last two decades, there is still room for improvement since it is still not satisfying for many users. Two of the major problems which need to be improved are the accuracy and the speed of the image retrieval system, in order to achieve user satisfaction and also to make the image retrieval system suitable for all platforms. In this work, the proposed retrieval system uses features with spatial information to analyze the visual content of the image. Then, the feature extraction process is followed by applying the fuzzy c-means (FCM) clustering algorithm to reduce the search space and speed up the retrieval process. The experimental results show that using the spatial features increases the system accuracy and that the clustering algorithm speeds up the image retrieval process. This shows that the proposed system works with texture and non-texture images.&#x0D;
Defeating Author Gender Identification with Text Style Transfer.

Text Style Transfer can be named as one of the most important Natural Language Processing tasks. Up until now, there have been several approaches and methods experimented for this purpose. In this work, we introduce PGST, a novel polyglot text style transfer approach in gender domain composed of different building blocks. If they become fulfilled with required elements, our method can be applied in multiple languages. We have proceeded with a pre-trained word embedding for token replacement purposes, a character-based token classifier for gender exchange purposes, and the beam search algorithm for extracting the most fluent combination among all suggestions. Since different approaches are introduced in our research, we determine a trade-off value for evaluating different models' success in faking our gender identification model with transferred text. To demonstrate our method's multilingual applicability, we applied our method on both English and Persian corpora and finally ended up defeating our proposed gender identification model by 45.6% and 39.2%, respectively, and obtained highly competitive evaluation results in an analogy among English state of the art methods.
Low Power Radix-8 Modulo $$2^n+1$$ Multiplier Using Modified Weighted Method

To design a residue number system using moduli set \(2^n-1,2^n,2^n+1\). The modulo \(2^n+1\) is the biggest hindrance as it requires (\(n+1\)) number of bits for their representation, while the other two sets use only n bits. In this paper, we present a new algorithm to design radix-8 modulo \(2^n+1\) multiplier using a modified weighted method with light bias. The multiplier uses only \(\lfloor n/3 \rfloor +2\) modulo reduced partial product along with bias term. The new multiplier is also capable to handle zero input. The proposed design is compared with recently proposed technique, and the synthesis result shows 27.14–38.56% less power consumption with almost same area.
Extending the Pegasus Portable Technology Platform to Apply to More Geophysical Monitoring Use

&amp;lt;p&amp;gt;The new Nanometrics Pegasus now available to the scientific community provides a compelling comprehensive solution for easily and quickly deploying portable seismic stations. Use cases include RAMP, local and regional hazard monitoring, passive seismic imaging and local or regional seismicity assessments. Because the technology platform on which Pegasus Portable is based is extensible and versatile, it has the potential to address additional use cases. The benefits of the Pegasus technology would apply to new use cases: optimal SWaP (Size, Weight and Power), Modularity (the versatility permits wide choice of sensors and power to serve various situations), Ease-of-Use (workflows designed for planning-to-publishing efficiency), Complete Ready-to-Use Datasets (including automatically generated station response), and Quick (such as ultra-fast boot, rapid data download). We explore the potential extensions to Pegasus that can enable additional use cases for autonomous geophysical monitoring.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;An example is large-N mixed-mode nodal deployments in which hundreds of stations are quickly deployed that can include a mix of sensor types such as broadband seismometers, geophones, microbarometers, and weather stations. A key focus for large-N campaigns is to scale efficiently. One proposed element for consideration is a cloud-based campaign planning and post-deployment auditing service in which a master plan can be readily distributed to many field operators to facilitate automatic station configuration and later reconciliation of on-the-ground actions with the master plan.&amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Another compelling use case for Pegasus is ocean bottom seismometry, where technology enablers would include OBS-specific actions and workflows (managing the datalogger and its power sources without having to open marine pressure vessels, synchronizing timing to GNSS, applying time corrections to retrieved data and the like). These and other use cases and related technology extensions are discussed.&amp;lt;/p&amp;gt;
Research Guides: Library Resources for Distance Learning - Videos: eBooks and Books

Library resources can be accessed remotely via the Leonard Lief Library website - here are videos showing you how.
KARAKTERISTIK KALIMAT DALAM TEKS EKSPOSISI SISWA KELAS X SMA ADABIAH PADANG

ABSTRACT This article expressed the characteristics of the sentences in the exposition text of X grade students of Adabiah Padang High School. Two purposes of this study, the first one was to describe the sentence structure (subject, predicate, object, and description) contained in the text of exposition written by X grade. The second aim was to describe the type of sentence based on the number of clauses in the sentence (single and compound sentences) contained in the text of exposition of X grade. The type of this research was a qualitative using descriptive methods. This research was conducted at Adabiah Padang High School, especially in the X grade which the total was 124 students. The entry of this study was the writing of exposition text by X grade in terms of sentence characteristics (sentence structure and type of sentence). Data discussed was qualitative. The data analyzed in the form of sentence characteristics (structure and types of sentences) contained in the exposition text of the work of X grade. Source of the data in this research was the text of exposition written by X grade. There were two research findings which the first was the sentence structure that was widely used by X grade was S + P + O pattern, the total was 88 sentences from 152 sentences studied. Second, the type of sentences used by X grade were single sentence types, which the amount was 140 sentences from 152 sentences studied. Kata kunci: Karakteristik, Kalimat, Teks Eksposisi
Pendampingan Pengembangan Papan Buletin untuk Guru SD Kecamatan Sukamakmur, Bogor, Jawa Barat

Based on data from SDN Sukamakmur 1, SDN Sukamakmur 2 and SDN Sukamakmur 3 students, the average grade of subjects in the odd-semester tests for the 2017/2018 school year is 5.5, while the minimum Mastery Criteria, or KKM in the three schools is 6.5. The low learning outcomes of the students, based on the analysis made by choosing the methods and media used by the teacher, are less interesting and less accurate, making the lesson deliveries too difficult to remember. The results of the observations on the three above-mentioned SDNs indicate that teachers are still adopting the traditional approach. The sign is that the teacher still plays the dominant role in activities while the students are only listeners and information recipients. During the learning processes, students only listen to the teacher's explanation and record or summarize the important things from the material provided by the teacher. Therefore, it is necessary to strive for the use of media and the selection of a suitable approach in the learning process as well as an interesting atmosphere, so that the students learn more actively and ultimately the student activities and learning outcomes increase. The approach offered for the implementation of the civilian service program is an assistance model with the following steps: 1) preparation; 2) evaluation; 3) alternative planning of programs or activities; 4) formulation of the action plan; 5) status of implementation (implementation) of the program or activity; 6) evaluation; and 7) Termination. The implementation of the Civil Service Program is in fact being undertaken to give primary school teachers in Sukamakmur district, Bogor Regency, the opportunity to develop this bulletin board media through training and mentoring activities, namely to create a bulletin board medium, theoretically feasible criteria. meet the right criteria in terms of format, content and appearance; have high applicability or are worth learning. The nonprofit activities of the Education Technology Study Program of the FIP UNJ are being evaluated to determine the extent to which educators' knowledge and skills in the design, development, use and evaluation of bulletin board media are increasing.
Aadhar based Anywhere Voting System

The main goal of our project is to introduce a brand new legal system that uses fingerprint for verification of an elector with the assistance of Aadhaar card details.Existing ballot paper will be replaced with the Aadhaar card.Our planned system will be accustomed conduct elections at totally different levels like that of the Parliament, panchayat and then on same day which is able to cut back the price of conducting elections on totally different dates.Since ballot will be done from any booth, it'll speed up the ballot method for the voters additionally as government because the result the protection in ballot will be ensured by preventing fault votes.Our system can give a lot of convenient approach for ballot for folks.
OCR, Classification& Machine Translation (OCCAM)

The OCCAM project (Optical Character recognition, ClassificAtion & Machine Translation) aims at integrating the CEF (Connecting Europe Facility) Automated Translation service with image classification, Translation Memories (TMs), Optical Character Recognition (OCR), and Machine Translation (MT). It will support the automated translation of scanned business documents (a document format that, currently, cannot be processed by the CEF eTranslation service) and will also lead to a tool useful for the Digital Humanities domain.
THE EFFECT OF CIRC MODEL ON THE STUDENTS’ ABILITY IN READING COMPREHENSION OF NARRATIVE TEXT GRADE X SMA N 1 BP. MANDOGE IN 2018/2019 ACADEMIC YEAR

This study aims to find out the ability in mastering the reading text in narrative text by using Cooperative Integrated  Reading and Composition  (CIRC) Model model. The object of this study is one of the gradeX student of SMA Negeri 1 BP. Mandoge. The design of this research was experimental design. There are two groups of students, namely experimental group and control group. Consist of 60 students involved in this study. The experimental group will be taught by using CIRC and control group will be taught reciprocal teaching strategy. This study is an experimental design that conducted with two randomized groups, pre-test and post-test design. The students of class X MIA-1 and X MIA -2  were chosen as the sample. The data collection is done by giving test. The result of calculation, it is obtained the value of the t observation (to) is 10,28 the degree of freedom (df) is 29. The degree of significance of 5% and 1%. The value of degree of significance are 2,045 and 2,756. If the to compared with each value of the degrees of significance, the result is 2,045 2,756. The result of the analysis showed that the hypothesis of the study was accepted. It was concluded that Cooperative Integrated  Reading and Composition  (CIRC) significantly affects students reading comprehension in Narrative Text. Keywords: Reading, Narrative Text, CIRC
Las TIC y el proceso de aprendizaje en la producción textil

AbstractAcademic performance is observed in the third year of technical baccalaureate professionalfigure Clothing Industry of the Fiscal Educational Institution Quito; the same one thatpresents the problem: lack of motivation and interest of the students for the learning of thetechnical modules; what initiates the investigation to gather information of the variable:students; the survey instrument was applied; the situation in which the teaching in theTechnical Baccalaureate is observed through those who were technical students. In that sense,this research will allow the inclusion of TIC in the learning of textile production, through theanalysis of relevance of the technological tools used in teaching to improve academicperformance. The education of this type of baccalaureate demands to be at the forefront offashion as well as the industrialization of clothing. The term TIC is not only the incorporationof technological resources from classrooms, but also implies a cultural transformation in theway of building knowledge and a modification in teaching-learning strategies. Keywords: technological tools, teaching learning, technical baccalaureate, clothing industry,building knowledge
Discourse marker in descriptive essays: A study on junior high school students

This study aims to determine the use of discourse markers (DM) in the descriptive essay text of students in high school. This study uses a qualitative approach that is classified as a case study. Data in the form of students' descriptive essays were analyzed using descriptive analysis. The essay writing instrument has a validity value of 95% and a reliability value () of 0.8. Participants were 96 grade IX students in Balikpapan, Indonesia, aged between 14-15 years. The purposive sampling method is used to select participants. The participants in this school were chosen because they were accustomed to receiving assignments in writing essay descriptions by their teachers. The results of this study indicate that (1) distance order is the dominant type of DM that is elaborately utilized, followed by elaboration, temporal, contrast, comparison, reason, causal, conclusions, and examples in participants' description essays, (2) class categories of types such as elaboration, comparison, and contrast have not shown varied use of participants, (3) students' DM usage skills are inadequate because of their inability to distribute DM primarily from coordinating conjunctions to linguistic units appropriately, and the existence of multifunctional DM avoidance strategies. The findings of this study become an evaluation material in teaching writing to identify the weaknesses and strengths of the use of discourse markers of high school students. The researcher recommends for the next study to look more closely at the development of thoughts and skills in the use of DM in essay writing.