Reviewerly/exHarmony huggingface dataset:
Infinity Learning: Learning Markov Chains from Aggregate Steady-State Observations

We consider the task of learning a parametric Continuous Time Markov Chain (CTMC) sequence model without examples of sequences, where the training data consists entirely of aggregate steady-state statistics. Making the problem harder, we assume that the states we wish to predict are unobserved in the training data. Specifically, given a parametric model over the transition rates of a CTMC and some known transition rates, we wish to extrapolate its steady state distribution to states that are unobserved. A technical roadblock to learn a CTMC from its steady state has been that the chain rule to compute gradients will not work over the arbitrarily long sequences necessary to reach steady state ---from where the aggregate statistics are sampled. To overcome this optimization challenge, we propose $\infty$-SGD, a principled stochastic gradient descent method that uses randomly-stopped estimators to avoid infinite sums required by the steady state computation, while learning even when only a subset of the CTMC states can be observed. We apply $\infty$-SGD to a real-world testbed and synthetic experiments showcasing its accuracy, ability to extrapolate the steady state distribution to unobserved states under unobserved conditions (heavy loads, when training under light loads), and succeeding in difficult scenarios where even a tailor-made extension of existing methods fails.
Probabilistic reference model for hourly PV power generation forecasting

This paper presents a new probabilistic forecasting model of the hourly mean power production in a Photovoltaic (PV) plant. It uses the minimal information and it can provide probabilistic forecasts in the form of quantiles for the desired horizon, which ranges from the next hours to any day in the future. The proposed model only needs a time series of hourly mean power production in the PV plant, and it is intended to fill a gap in international literature where hardly any model has been proposed as a reference for comparison or benchmarking purposes with other probabilistic forecasting models. The performance of the proposed forecasting model is tested, in a case study, with the time series of hourly mean power production in a PV plant with 1.9 MW capacity. The results show an improvement with respect to the reference probabilistic PV power forecasting models reported in the literature.
Pembuatan Game Augmented Reality Keep It Clean Gameplay Hunt The Monster Berbasis Android

Rubbish is the residual material of production that is no longer used both industry and households. Almost all activities carried out by humans will produce rubbish which will unconsiously endanger the surrounding environment if not properly calculated. So human awareness of rubbish is very important to contribute to environmental sustainability. There are various ways are presented to overcome the environmental waste problem. However, the basic thing that needs to be done is providing education about the importance of keeping the environment clean from rubbish. Therefore given a solution in the form of Augmented Reality Games as a means of supporting education about the importance of keeping the environment clean of rubbish, especially now smartphones Android are very close to users so that learning with AR games media will be fun and easy to use. With this Augmented Reality Game which talk about the importance of protecting the cleanliness of the environment from rubbish it is hoped that users will be more interested about it and moved to take care of the environmental cleanliness. With the support of attractive features and providing information about rubbish, it is hoped that users will understand the importance of taking care the environmental cleanliness and participating in keeping care the cleanliness. Keyword : Game, Augmented Reality, Rubbish, Environmental
An Analysis on Scope of Cyber Security

In this continuously moving and progressing word of technology the need of cyber security is increased interchangeably. The role of every individual is very important in securing cyber former consider to this as an additional dimension and also focus person has a potential target. By considering this, the discussion on cyber security become important and it has important implication because it focusses on the ethical part of society. It’s not easy to deal with this issue as it addresses wide range of problems from cybercrime to online harassment to online frauds to overcome this issue several frameworks are introduced. In this paper we will review the techniques to deal with cyber issues, the areas where cybercrime are happening repeatedly, cybercrime as a global and national issue, sectors affected by cybercrime by studding this we will come to know that what are the challenges the society and corporate sector are facing related to cyber security along with the economy and politics. After knowing the challenges only, we can find out its solution, this problem as a whole has covered a large area so that we do have much scope to do research over it. Here we will review and analyze the limitation, challenges, techniques of securing cyber word.
Experimental Demonstration of a Multimode Fiber Imaging System Based on Generative Adversarial Networks

We propose and experimentally demonstrate a multimode fiber imaging system based on generative adversarial networks. We use the Pix2Pix framework to realize the reconstruction, which utilizes smaller dataset and shows comparable performance compared with U-Net.
Segmenta\c{c}\~ao de imagens utilizando competi\c{c}\~ao e coopera\c{c}\~ao entre part\'iculas

This paper presents an extension proposal of the semi-supervised learning method known as Particle Competition and Cooperation for carrying out tasks of image segmentation. Preliminary results show that this is a promising approach. Este artigo apresenta uma proposta de extensao do modelo de aprendizado semi-supervisionado conhecido como Competicao e Cooperacao entre Particulas para a realizacao de tarefas de segmentacao de imagens. Resultados preliminares mostram que esta e uma abordagem promissora.
A Comparative Study of Classical and Quantum Cryptography

As security of data is of utmost importance nowadays, the field of cryptography gets extensive attention. The classical cryptography which uses laws of mathematics is losing its value as the data is not much secure as it can be easily accessed by eavesdropper; also the size of data is limited. According to Moore’s law, the transistor counts will double every two years; this statement won’t be substantial one day. Since the computer field is moving in the era of quantum, the need of the hour is to design a cryptography method which involves security at the quantum level. Quantum cryptography is fast, effective and very important technology for protecting the security in future communication. It uses laws of quantum physics, i.e., it uses properties of light and quantum mechanics for cryptographic operations. This paper provides a study on quantum cryptography and how it is better than the existing classical cryptography.
Regularizing Semi-supervised Graph Convolutional Networks with a Manifold Smoothness Loss

Existing graph convolutional networks focus on the neighborhood aggregation scheme. When applied to semi-supervised learning, they often suffer from the overfitting problem as the networks are trained with the cross-entropy loss on a small potion of labeled data. In this paper, we propose an unsupervised manifold smoothness loss defined with respect to the graph structure, which can be added to the loss function as a regularization. We draw connections between the proposed loss with an iterative diffusion process, and show that minimizing the loss is equivalent to aggregate neighbor predictions with infinite layers. We conduct experiments on multi-layer perceptron and existing graph networks, and demonstrate that adding the proposed loss can improve the performance consistently.
GERUNDS AND PARTICIPLES IN THE SENTENCE OF NATIONAL NEWS IN THE JAKARTA POST ONLINE

This study is aimed to find out  the use of verbal especially gerunds and participles in the sentence found in the National News of Jakarta Post Online which published on February 27 until March 05, 2019. The objective of the study are 1) to find out how many gerunds used in the national news of Jakarta Post Online, 2) to find out how many participles used in national news of Jakarta Post Online, 3) to find out the verbal dominantly used in the National News of Jakarta Post, 4) the dominant position of gerund used in ational News of Jakarta Post Online, 5) to find out the dominant type of verbal used in National News of Jakarta Post.   The National news are analyzed in term gerund and participle, 4 position of gerund (as subject, object, subject complement, and object of preposition), two types of participles ( present participles and past participles). The finding shows that 1) there are 34 or 41.46% gerunds and 48 or 58.54% participles. The dominant type of verbal used in the sentence is participles, it is 48 or 58.54%. 2) the position of gerund used in the sentence is 4 or 11.76% as subject, 6 or 17.65 as the object, 24 or 70.59% as object of preposition, and no one as subject complement. The dominant position of gerund used in the sentence is gerund as the object of preposition (24 or 70.59%). 3) The types of participles used in the sentence are 27 or 56.25% for present participle, 21 or 43.75% for past participle. The most dominant type of participles is present participle (27 or 56.25%) Keywords: gerunds, participles, National News,  and Jakarta Post
Otomasi Perencanaan Produksi Pada Sekolah

Production planning is very important in business processes. Production planning aims to minimize the total cost of production. In this research, automation of production planning is done using data obtained based on school business processes. The purpose of this study is to determine the best production costs for the smooth production process of schools. This research uses descriptive research. Descriptive research aims to obtain information in the implementation of school business process planning. The calculation of production costs in this study uses the Activity Based Costing (ABC) technique and is carried out using Microsoft Excel. The calculation of this research is done by first determining the total target and raw materials from the school production process, then calculating the production costs of this school production process. The results of these calculations found that the optimal production cost for each student of a total of 300 students during the 3-year learning period is Rp. 605,728. From this study, it is also known that the total number of students and labor directly affects the amount of production costs.
Peculiarity Classification of Flat Finishing Skill Training by using Torus Type Self-Organizing Maps with Cluster Maps

The paper proposes an unsupervised classification method for peculiarities of flat finishing motion with an iron file, measured by a 3D stylus. The classified peculiarities are used to correct learner's finishing motions effectively for skill training. In the case of such skill training, the number of classes of peculiarity is unknown. A torus type Self-Organizing Maps(torus SOM) is effectively used to classify such unknown number of classes of peculiarity patterns. An automatic clustering method is applied to the torus SOM results based on cluster map value. Experimental results of the classification with measured data of an expert and sixteen learners show effectiveness of the proposed method. The effectiveness of the cluster map is also evaluated.
UPAYAMENINGKATKANKEMANDIRIANDAN PRESTASIBELAJARMATEMATIKAMELALUI MODELPEERTUTORIALDENGAN REINFORCEMENT

The aims of the research are to improve the increase of independence and achievement on the mathematics learning process for the linear equation of two variables at student class VIII C 1st semester of MTsN Boyolali Academic Year 2017/2018 through the implementation of peer tutorial with reinforcement model learning.This study is classroom action research conducted in two cycles.The object of this study was first semester students around 32 students.Data collection was done through observation, documentation and tests.Data analysis was conducted in 3 stages including data reduction, data display and conclusion.This Study resulted : The aplication of peertutorial with reinforcement model can improve the independence of students on
SISTEM PAKAR DIAGNOSA PENYAKIT UMUM PADA ANAK DENGAN SOLUSI HERBAL SEBAGAI OBAT BERBASIS ANDROID MENGGUNAKAN METODE CERTAINTY FACTOR

An expert system is one part of artificial intelligence that contains knowledge and experience that is entered by one or many experts into one particular area of knowledge so that everyone can use it to solve a variety of specific problems, in this case is the expert system of diagnosis of common diseases in children with treatment solutions using herbs (traditional ingredients) using the Certainty Factor (CF) method. Certainty Factor method is a method used to solve problems from uncertain answers, and produce uncertain answers. This uncertainty is influenced by two factors: uncertain rules and uncertain user answers.With this expert system, it is expected to be able to help the user in the initial handling of diagnoses of common diseases in children become easier and help provide treatment solutions from the results of these diagnoses in herbal (traditional herbs). Keywords: Expert System, Diagnosis of Common Diseases, Children, Herbal Solutions, Android, Certainty Factor Method
Formation of Information Culture of Primary School Students Using the Resources of Electronic Information and Educational Environment (EIEE) Moodle

The article deals with the formation of information literacy of primary schoolchildren as an urgent problem of modern Russian education. The use of information and communication technologies by all participants in the learning process in primary school is dictated by the requirements of such regulatory documents as the Federal Law "On Education in the Russian Federation" and the Federal State Educational Standard of Primary General Education. The features of the creation of an electronic information and educational environment (EIEE) and the didactic possibilities of using the Moodle distance system during the formation of skills and abilities by younger students, reflecting the required level of knowledge of information culture, are revealed.
Interaction of the labor market and the market of educational resources in the conditions of Informatization of education

The modern Russian economy is developing and becoming more digital. And a large role in its development is played and will be played by highly qualified personnel who must be competitive in the labor market. The market of educational resources should be prepared and reformatted in the direction of Informatization of education, which brings not only great opportunities, but also problems that can be solved in the interaction of two markets: the labor market and the market of educational resources. The article considers their interaction.
ISOGENIES OF ABELIAN VARIETIES IN CRYPTOGRAPHY

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Internet of Things, Interoperability and Interfaces: aCopyright Law Perspective

The interoperability of the elements involved in IoT is thefactual conditio sine qua non. Practically, theinteroperability is ensured via various interfaces. If thespecification of an interface is not readily available, itmight be under certain strict conditions obtained by reverseengineering. The current EU copyright law however lays downstrict prerequisites on the reverse engineering withoutauthorization of the rightholder. In the EU copyright lawcontext, the copyright protection for interfaces is discussed(section 2). Next, the current regulation in computer programdirective of reverse engineering of interfaces is presented(section 3). Finally, this regulation is critically evaluatedand recommendations how to improve the current situation areoffered (section 4). The last part (section 5) concludes.
A Why3 proof of GMP algorithms

Large-integer arithmetic algorithms are used in contexts where both their performance and their correctness are critical, such as cryptographic software. The fastest algorithms are complex enough that formally verifying them is desirable but challenging. We have formally verified a comprehensive arbitrary-precision integer arithmetic library that implements many state-of-the-art algorithms from the GMP library. The algorithms we have verified include addition, subtraction, Toom-Cook multiplication, division and square root. We use the Why3 platform to perform the proof semi-automatically. We obtain an efficient and formally verified C library of low-level functions on arbitrary-precision natural integers. This verification covers the functional correctness of the algorithms, as well as the memory safety and absence of arithmetic overflows of their C implementation. Using detailed pseudocode, we present the algorithms that we verified and outline their proofs.
Faster time-aligned phonetic transcriptions through partial automation

A semi-automatic process for generating time-aligned transcriptions of speech data at the word and phone level is described.At each stage in the process, segment durations are estimated to generate approximate boundary markers, which are then corrected by hand.Corrections at one level are taken into account in the generation of boundaries for the next level, such that the error is reduced at each successive stage.A test implementation based on Praat was applied to a corpus of Brazilian Portuguese and a comparison against a fully manual process revealed a reduction of 54% in the time required to generate phonetic transcriptions and an average error of 21 ms in the time-alignment of phonetic boundaries.
Future Directions and Challenges in Multi-modal Communications with Olfactory and Haptic Senses

In this paper, we focus on multi-modal communications with olfactory and haptic senses. We first introduce the challenges (i.e., problems to be solved) in the multimodal communications. Then, we explain our solutions for the challenges by taking remote ikebana and networked balloon bursting game as examples. Finally, we discuss the future directions of the research on the communications.
New Applications of the Monte Carlo Method for Computer Daihinmin

The Monte Carlo tree search has been used in programs that play various games. In this study, we present new applications of the Monte Carlo method for the card game Daihinmin. One is a method of setting good evaluation values in repeated plays of Daihinmin, and the other is a method of increasing or reducing the score of a target player of Daihinmin.
Advanced BIT* (ABIT*): Sampling-Based Planning with Advanced Graph-Search Techniques

Path planning is an active area of research essential for many applications in robotics. Popular techniques include graph-based searches and sampling-based planners. These approaches are powerful but have limitations. This paper continues work to combine their strengths and mitigate their limitations using a unified planning paradigm. It does this by viewing the path planning problem as the two subproblems of search and approximation and using advanced graph-search techniques on a sampling-based approximation. This perspective leads to Advanced BIT*. ABIT* combines truncated anytime graph-based searches, such as ATD*, with anytime almost-surely asymptotically optimal sampling-based planners, such as RRT*. This allows it to quickly find initial solutions and then converge towards the optimum in an anytime manner. ABIT* outperforms existing single-query, sampling-based planners on the tested problems in $\mathbb{R}^{4}$ and $\mathbb{R}^{8}$, and was demonstrated on real-world problems with NASA/JPL-Caltech.
Plasmon Oscillations and de Broglie's Matter Waves Instabilities

In this research we study the effect of matter-wave instability on electron beam transport with arbitrary degree of degeneracy. Particular class of solutions of the Schr\"{o}dinger-Poisson system is used to model the electron-beam transport at constant speed. It is shown that such electron-beam is described by a coupled driven pseudoforce system solution of which leads to plasmon excitations with dual wave-particle character. The fundamental quantum mechanical de Broglie relation is found to be due to the resonant interaction of particle-like plasmon excitation branch with the electron beam drift. We further obtain a generalized double lengthscale de Broglie wave-particle relation through which various beam-plasmon instability is studied in this model. The quantum charge screening and the chemical potential effects on the matter-wave formation and instabilities are discussed in detail and the well-known Aharonov-Bohm effect is revisited in current quantum hydrodynamic model. Current research may further illuminate the origin of matter-wave in quantum mechanics and lead to clear understanding of novel wave-particle interactions.
Chemometrics-enhanced Classification of Source Rock Samples Using their Bulk Geochemical Data: Southern Persian Gulf Basin

Chemometric methods can enhance geochemical interpretations, especially when working with large datasets. With this aim, exploratory hierarchical cluster analysis (HCA) and principal component analysis (PCA) methods are used herein to study the bulk pyrolysis parameters of 534 samples from the Persian Gulf basin. These methods are powerful techniques for identifying the patterns of variations in multivariate datasets and reducing their dimensionality. By adopting a “divide-and-conquer” approach, the existing dataset could be separated into sample groupings at family and subfamily levels. The geochemical characteristics of each category were defined based on loadings and scores plots. This procedure greatly assisted the identification of key source rock levels in the stratigraphic column of the study area and highlighted the future research needs for source rock analysis in the Persian Gulf basin.
Features of the Educational Process Subjects Self-Actualization in the Conditions of Mastering the Profession of a Teacher

In the conditions of mastering professional activity in the system of higher education, the foundations of a self-actualizing personality of a future specialist are laid.The survey involved students aged 18-20 years, studying in the direction of "teacher education" of various profiles.The scale of the need for security is basic, including the implementation of: biological, mental and social needs.The results of the study showed that young people in the development of professional activities, to fulfill the needs on a safety scale, need to satisfy the need for communication and knowledge.Girls are extremely sensitive to social influences and need approval and creativity.Both boys and girls need self-esteem.In boys, value orientations coincide with social values, and in girls they have a personal character.As subjects of the educational process, young men and women studying at, acquiring psychological and pedagogical knowledge, need support, approval, respect, quality knowledge necessary to meet individual needs and optimal functioning in professional activities.