Reviewerly/exHarmony huggingface dataset:
Research on the Construction of Army Command System Based on “Cloud Top”

Abstract With the development of information technology, combat mode tents to be intelligent. As the most complex and pluralistic military force, the Army has higher requirements for its command system which must have the characteristics of parallel,efficient and real-time. The traditional command system can no longer meet the requirements of future operational command. This paper though researches Construction of Operational Command Architecture Based on “Cloud Top” and Technical System of Army Command System to provide some reference for the Army to gain command superiority.
Inteligencia colectiva, metacognición y cultura digital. Nuevos horizontes de la Pedagogía contemporánea

By highlighting how their pedagogical employment can promote a more active role of individuals in their learning process, this essay reflects on the importance of new technologies within education curricula. The paper argues that the adequate use of digital technologies’potential can foster peculiar cognitive, matecognitive and social abilities, and consequently yield a number of positive learning outcomes.
Un corpus della stampa italiana locale

A corpus of the Italian local press. This paper introduces CoSIL, a corpus of articles from Italian local newspapers containing about 180,000 texts and 66,000,000 words. The corpus was built to provide researchers with a freely downloadable balanced corpus of journalistic texts and a material for linguistic research on online local press, a nowadays-pervasive source of information. Besides the objectives behind the construction of the corpus, the paper describes its design and development, focusing on its representativeness and balance.
The Politics of Information

To understand the importance of university activities in rural data, it is useful to develop a framework that incorporates the philosophical dimensions of data and information as well as the politics of information and information systems. The pop futurist Alvin Toffler has once again gained recognition, this time for being among the first to state that die capacity to process and interpret information has become a major source of economic and political power in advanced industrial societies. The other type of data and information system is almost exclusively public in nature and is referred to as public data. Policymakers commonly make major policy decisions based on inadequate or even wrong information. In an environment where special interest groups have a political advantage in supplying information and where decision makers are inclined to seek out such information for expediency, the case for public investment in information systems is strong.
Background subtraction based on a Self-Adjusting MoG

The diversity in background scenes such as, illumination changes, dynamics of the background, camouflage effect, shadow, etc. is a big deal for moving objects detection methods makes it impossible to manage the multimodality of scenes in video surveillance systems. In this paper we present a new method that allows better detection of moving objects. This method combine the robustness of the Artificial Immune Recognition System (AIRS) with respect to the local variations and the power of Gaussian mixtures (GMM) to model changes at the pixel level. The task of the AIRS is to generate several GMM models for each pixel. This models are filtred through two mecanism: the competition for resources and the development of a candidate memory cell. The best model is merged with the exesting GMM according to the Memory cell introduction process. results obtained on the Wallflower dataset proved the performance of our system compared to other state-of-the-art methods.
Recommendations of Strategies for Significant Learning in U-Learning Environments

The resources of mobile and ubiquitous technologies allow learners a new possibility of learning in specific contexts, contextualized and extendable to the real environment.While performing the activities in the field, one perceives differences of behaviors and of knowledge among the apprentices.At this point, ubiquitous computing tools can extend the benefits to learning by considering the context in which the learner is.However, the design of Ubiquitous Learning Environments (U-Learning), which meets all these innovative features of continuous mobility, is not a simple task due to the peculiar characteristics of the supporting devices: heterogeneity, limited battery, scarce computational resources, among others.This work presents a set of recommendations for strategies for meaningful learning in a U-learning environment, arising from needs identified through a ubiquitous learning platform, through an experiment carried out at a Federal Institution in the Northeast of Brazil culminating in the proposal of recommendations of improvements in learning activities that allow greater assistance to the learner through the environment and to the teacher, favoring the characteristics for meaningful ubiquitous learning.
Simulation in virtual reality: Robotic training and surgical applications

Two case studies are performed in this study; one with 4-dof robotic system, the other 6-dof industrial robot arm . Both robot arms are actually operated in Mechatronics Laboratory, Gaziantep University. Different motion trajectories are designed, and implemented for training, medical tasks and surgical operations base. Simulations are built by using VR Toolbox in Matlab. Virtual reality environment is achieved through Simulink with real time examples . The motions and trajectories necessary for training and surgical applications are directly seen. This enables the surgeons training with many benefits; greater control during tasks reduced training periods, possibility of error free tasks for example.
Elaboramos un croquis para organizar el mobiliario del aula

The present work of professional sufficiency called We elaborate has been prepared to apply it in a section of fourth grade of primary education of the I.E. N°81015 Carlos Emilio Uceda Meza of the city of Trujillo.The first part is oriented to the planning of the learning session where the learning purposes are considered as the competence: Solve problems of movement and location, the abilities Use strategies and performance: Express with graphics or sketches the displacements and positions of nearby objects, people and places, as well as their translations in relation to fixed objects as reference points.The didactic processes of the area have also been considered, proposing strategies that involve students at all times, in order to obtain meaningful learning.In the second part, theoretical support is considered, where some key definitions of the topic to be treated to support this work are explained.In the third part the pedagogical support is detailed, where it is explained what is the mathematics, the approach that sustains the development of the competences of the area, the corresponding competence, as well as the didactic and pedagogical processes according to the National Curricular Design.
THE IMPLEMENTATION OF PWIM IN ENGLISH LEARNING FOR STUDENTS OF PROGRAM PESANTREN SISWA

The implementation of PWIM in English learning for students of Program Pesantren Siswa (PPS) is a community service activity. PWIM is Picture Word Inductive Model, a comprehensive visual model of English teaching technique that has been studied previously in several formal institutions from elementary level to university level. The PWIM is implemented in English learning for students of Program Pesantren Siswa (PPS), a non-formal institution of community organization under the Baitul Hasan Jagakarsa Foundation. Engaged by 15 students of 12 to 22 years old, this community service activity is aimed at applying a new experience of learning English so that the students would understand English more easily and effective. This community service activity is administered by assisting and mentoring English learning to the students through PWIM. Based on the descriptive and correlational analysis, the results show that the use of PWIM has contributed a significant effect on the students’ English understanding. It can be said that PWIM is effective in English learning, both for formal institutions and non-formal institutions. It is also proved that a picture means a thousand words and it would store in students’ minds much longer.
Comparison Between BlindLogin and Other Graphical Password Authentication Systems

This pilot study was done to evaluate the picture superiority effect on the memorability and usability of BlindLogin based on the Usability-Deployability-Security (UDS) Model and to compare the results with other graphical password authentication systems found in literature. The results from this pilot study indicated that the visually impaired users generally thought that BlindLogin was better than the textual password based on all the UDS Model usability criteria. The results further indicated that BlindLogin was significantly better than textual passwords in four usability criteria (Memorywise Effortless, Infrequent Errors, Efficient to Use and Physically Effortless). For Memorywise-Effortless, BlindLogin (p < 0.012) is more significant than Image PassTiles (p < 0.013) and much more significant than Object PassTiles (p < 0.045). For Infrequent Errors, BlindLogin (p < 0.015) is almost as significant as Passpoints (p < 0.013). The security of BlindLogin was also assessed by tabulating the password space and launching a dictionary attack and a brute-force attack using the capabilities of the cloud. The results showed that it would take about 48188.59 years to brute-force a BlindLogin password using the capabilities of the cloud, which is better than DAS (541.8 years) and Grid Selection (541.8 years). As currently graphical authentication systems designed for the visually impaired have yet to be found in literature, BlindLogin has been shown to be a memorable and usable graphical authentication system for visually impaired users as compared to other graphical password systems which was designed only for sighted users on the mobile platform.
Perbandingan model klasifikasi linear discriminant analysis dan K-nearest neighbor untuk data penjurusan siswa Madrasah Aliyah Negeri Samarinda

Madrasah Aliyah Negeri (MAN) under Ministry of Religion used curriculum 2013 as well as others senior high schools. However, MAN subjects are more than others senior high schools. It’s became particular concern to parents of students so that their children can compete with graduates of public schools when they continue to higher education. Curriculum 2013 provides that majoring in Ilmu Pengetahuan Alam (IPA), Ilmu Pengetahuan Sosial (IPS), Agama, and Bahasa have been implemented since the 10th grade. Picking the wrong major can be avoided by knowing the characteristics of students. The process of finding data patterns for student majors can be done using data mining. The purpose of this research was to classify the data of placement MAN’s student majors using Linear Discriminant Analysis (LDA) model as linear model and k-Nearest Neighbor (k-NN) model as non-linear model. The data were resampled using Bootstrap with n=1000 and n=5000. The data were also divided into training data and testing data with the probability of each data being drawn was 60:40, 70:30, 80:20, and 90:10. Based on the results, the accuracy of LDA models for distribution of training data and testing the data at 60:40, 70:30, 80:20, and 90:10 and bootstrap n=5000 respectively were 0.838, 0.834, 0.833, 0.832. Meanwhile the accuracy of k-NN models with k=3 for distribution of training data and testing the data at 60:40, 70:30, 80:20, and 90:10 and bootstrap n=5000 respectively were 0.837, 0.846, 0.854, 0.861. Therefore, the k-NN model with k=3 became the best model.
Analysis of the Correctness of the Model of Biomedical Experiment Based on the Transition Graph by Means of a Matrix Algebra

The article deals with the problems of formal description of methods of organization of biomedical experiment.The need for a formal description of the experimental scheme is postulated.One of the ways of formal representation of the biomedical experiment based on the transition graph, which is one of the variants of the description of the finite state machine, is considered.The description revealed that the main characteristics of this representation are the correctness and adequacy of the representation in the form of a graph of transitions.The problem of description of nested sequences of actions corresponding to the beginning and end of the use of different components of the experiment is considered.An example of such use is the serial and parallel activation of experimental equipment.In this case, the correct sequences correspond to the implemented experiments, and the wrong ones correspond to the unrealizable ones.In this regard, there is a need to verify such feasibility.The necessity of checking the correctness of the graph as the main condition for the feasibility of the experiment is substantiated.One of the approaches to the analysis of the correctness of such a graph on the basis of matrix calculations is presented.The method of constructing the transition graph matrix is considered.The basic transformations necessary for checking the correctness of the transition graph of the biomedical experiment are given.
다기능 문법형태 ‘에’의 의미지도 모형과 각 기능의 습득순서

The multi-functional grammatical forms (multifunctional grams) have always been a difficult point in the teaching and acquisition of second language. The multi-functional grammatical form “에(e)” in Korean has various meanings such as ‘location’, ‘time’, ‘reason’, ‘enumeration’ etc. The study uses the semantic map model as a research tool, based on the meaning function of ‘에(e)’, through the comparison of cross-language (Japanese, English, Chinese), draws the semantic map of ‘에(e)’, and on this basis, analyzes the meaning function of grammatical forms corresponding to ‘에(e)’ in Japanese, English and Chinese. Moreover, by examining the input order of the multi-functional grammatical form ‘에(e)’ in the second language education textbook, combined with the drawn semantic map, the order of acquisition of the various meaning functions of the multi- functional grammatical form ‘에(e)’ is pointed out.
Improving Data Compression Based On Deep Learning

We generate and use an ever-increasing amount of data in digital form. Technological advancements in digital communication have allowed us to transmit data to almost anyone on the globe. However, storage and transmission capacities do not seem to keep up with the explosive growth of data. Due to data compression, we can represent data in compact form and therefore store and transmit more data with the same cost. In this thesis, we focus on compression without loss of information, known as lossless compression, of high-dimensional data. Lossless compression can be achieved by finding structure that exists in the data through probabilistic modelling and exploiting that structure with compression algorithms. Probabilistic models based on deep learning have experienced a lot of progress in recent years. Efficiently using these models in compression algorithms, however, is still an open problem. Earlier work has focused on designing a compression algorithm that uses a latent variable model, called the bits-back scheme. Latent variable models based on neural networks can be efficiently optimized for high-dimensional data. We extended both the latent variable model and the bits-back scheme, such that we achieve more effective lossless compression. We call the extensions nested latent variable models and the recursive bits-back scheme respectively. Through experiments we verify that the recursive bits-back scheme using nested latent variable models results in lossless compression that is empirically superior to existing techniques. We also conduct an extensive analysis of how different versions of the method compare to earlier work on lossless compression using latent variable models.
The Role of Decision Support System and Risk Management

A computer based information framework that supports organizational or business decision-making activities is known as decision support system (DSS). For risk managers decision support system would be useful. Decision support system serve the operations, planning and management levels of an organization and help to decide, which might be quickly changing and not effectively determined ahead of time. In distributed software development risk management is a well-inquired about territory, giving various techniques to suggesting and assessing control procedures. Numerous concentrates in chance the executives have been centered around the management procedure, contract connection, and risk examination in the previous decade, however not many contemplates have tended to extend dangers from the viewpoint of hazard effectiveness. Risk management decision models are chosen from a broad writing survey. Into a decision support system these models are incorporated.
Impact factors involved in cryptoperiod computation in key compromise impersonation scenario

Starting from the asymmetric encryption general protocols and vulnerability analysers, the present paper illustrate the most important factors, those owning the highest impact level on computation of cryptoperiod of keying data and material, as looked at in a key-compromise impersonation attack scenario. We support our researched list of such factors with mathematical principles and advanced computation techniques applied also on the cryptography theory of elliptic curves.
Predicting the Relationship between Parent Teaching Activities and Emergent Literacy in Preschool Children of Oxford Louise Academy of Dasmarinas using a Correlation and Clustering Analysis

Literacy development is the fundamental factor in the language development of a child. To enhance the children’s language skills, the preschool teachers are challenged to constantly take part in the individual children’s interactions. Since parents are considered the first teachers of their child, it is important to take into consideration how parents can assist on improving the language and acquiring important literacy skills of their children before their children attend to formal schooling.The main goal of this research is to discover the relationship of the parent’s intervention on the growing preschool children student of a private school in Cavite and the teaching activities. This was done through performing a survey assessment for random samples. Further, the study on the basis of the evaluation of teachers before the child learning capabilities would aim to forecast students who needs to have intervention classes. This research focuses mainly on the application of the data mining techniques inthe academic setting.
Education In A Modern Society

Change in education is an objective necessity, determined by the transformations taking place in society - at a cultural, political, economic, community level, and these things must be reflected in the pedagogical plan. In spite of tensions and multiple conflicts, the priority objective of mankind is increasingly formulated in the notion of sustainable development. Education is trying to respond to the requirements of social development in two directions, that of educational content - which requires curriculum development by infusion, integration of new education and that of the philosophy of education - which concerns the orientation, sizing and rethinking of educational processes. The problems of the world in which we live: the crisis of the environment, globalization, poverty, unemployment, social failure, equality of chances, human rights, democracy have become problems of the education sciences, which have integrated them in what is called the new education.The school is to be the center of change, a change of mentality first, an equally important aspect, but harder to solve than the economic change and reconstruction and the institutions of democracy. The new generation must not only be educated to adapt to the new, but also to anticipate change, to accept it and to actively participate in the process, thus contributing to the construction of the future. The specificity of our world is that it is changing faster and that it puts us in the face of original, unforeseeable and even unpredictable situations. For this reason, the main task in the formation of man must not be both education and education, namely education that offers educated and educated behavior open to change and an attitude that favors the use of innovative behavior techniques.
The Concept of Decision Support in Evaluating the Functional State of Complex System of the Biological type

The aim of the work is to develop a conceptual approach to decision support in assessing the functional state of a complex system of biological type.The definition of the functional state and the basic principles of its evaluation for complex systems of biological type on the basis of system representations are formulated.A situational model of the problem environment as a set-theoretic composition of the main components and evaluation functions was developed, which allowed to formulate the definition of the problem situation.The structure of the application of data mining to assess the functional state of a complex system using as feedback models of three levels -strategic, tactical and operational.A system of coordinated models for decisionmaking in assessing the functional state of a complex system based on causal representations in the form of Markov chains and Petri nets is proposed.
Design and Development of Microcontroller Based Soil Analyzer

Soil management is very important in agriculture and an AVR microcontroller based system to measure and analyze the pH, Conductivity/Salinity and soil VMC with the help sensors is presented in this paper. Soil pH, soil conductivity and soil salinity are the soil properties affecting the soil quality and plant growth. The developed device is designed to measure these soil properties and display the soil quality on LCD as well as on LED panel. Based on the measured data the treatment to the soil and irrigation can be planned. The device is designed using AVR series microcontroller with inbuilt ADC needed for sensor data acquisition and thus reducing the design complexity of the system.
Biomedical Image Encryption Based on Fractional Discrete Cosine Transform with Singular Value Decomposition and Chaotic System

In this paper, new image encryption based on singular value decomposition (SVD), fractional discrete cosine transform (FrDCT) and the chaotic system is proposed for the security of medical image. Reliability, vitality, and efficacy of medical image encryption are strengthened by it. The proposed method discusses the benefits of FrDCT over fractional Fourier transform. The key sensitivity of the proposed algorithm for different medical images inspires us to make a platform for other researchers. Theoretical and statistical tests are carried out demonstrating the high-level security of the proposed algorithm.