Reviewerly/exHarmony huggingface dataset:
Model approach of a robotic manipulator 3DOF using Machine Learning

Applications of robotics have been steadily expanding in recent years, and robotics is evolving every day. Currently, robotics is seen as an important area in many applications. Robotics and computational intelligence are increasingly working in parallel with the goal of better performance and productivity. This work has the objective of making an modeling of a robotic arm with three phase induction motor through machine learning techniques to obtain a better model that represents the plant. The techniques used were Articial Neural Network (ANNs): MLP and ELM. The techniques obtained a good performance, and they were evaluated through the multi-correlation coecient for a comparative analysis.
School libraries in national minority schools

The world of education is changing, and changes affect all its components. Libraries operating in the education system see their role through a support of the education process they are ties to. By transforming their services, modern libraries meet the growing educational requirements while simultaneously taking on an increasingly significant place in the field of education. In the past, libraries have focused on their funds and their size as a measure of their own quality and importance. Today, given the needs and requirements of the contemporary environment, educational orientation is necessary for all libraries, especially libraries operating in the education system.This paper deals with the importance and impact of school libraries providing support to the education of pupils of national minorities' schools. The paper deals specifically with the school libraries of the Italian national minority operating within the educational system of the Republic of Croatia. The aim of this paper is to show the activity of school libraries in Italian national minority schools and their importance for the creation of a sound intercultural cooperation and life in the majority community.
Otonom Efektif Alan Tarayıcı Robot Tasarımı Design of an Autonomous Effective Area Scanning Robot

Area scanning can be defined as complete coverage of an area delimited either by natural or virtual borders, by a mobile robot. Area scanning has a wide spread usage from home cleaning vacuum clear for home users to minesweeping robot for military usage. Autonomous mobile robot design and software implementation for effective area scanning of an initially unknown area is realized with this work. Simultaneous localization and mapping (SLAM), area segmantation, complete coverage path planning (CCPP) algorithms are used for this purpose. Behavioural approach is implemented at the top level by means of SMACH based state machine for autonomous effective area scanning. Calculated orientation of the environment and previously visited areas are used for effective path planning. Software implementation is tested on a differantial drive, Robot Operating System (ROS) capable mobile platform.
Analysis of Sombe River Flood Discharge, Porame Village, Sigi Regency

This research was conducted in the village of Porame, Sigi Regency, which was conducted from March to August 2017. The Sombe river basin is one of the rivers in the Porame Village, Kab. Sigi, Central Sulawesi Province, which empties into the Palu River, has a length of 10.54 Km and a watershed area of 53.95 Km². High rainfall intensity and uncontrolled land-use changes in the Sombe Watershed Area cause flooding problems, which can ultimately cause a lot of damage. For planning flood control, river safety, and various water structures in the river it is necessary to conduct a hydrological analysis to obtain the magnitude of the flood plain. In this study frequency analysis and Empirical methods are used, namely the Rational, Hasper and Melchior Methods, counting from 10 to 200 years. The calculation of the Sombe River flood discharge used rainfall data at the Porame station, with the recording period from 2005 to 2016 and using a 1: 50,000 scale topographic map. The results of the design flood discharge analysis for each method with various repeat periods obtained the Rational Method that gets the largest value of Flood Discharge that is 663,548 m3 / s; then, the Frequency Analysis Method gets the smallest value 133,057 mm.
Channel convolution residual block for person re-identification

In previous works, the channel attention mechanism has been widely used in person re-identification. However, the channel attention mechanism completely compresses the spatial dimension during calculation, which harms the diversity of the channel information over different pixels. In this paper, a channel convolution residual block is proposed for more detailed inter-channel correlation modeling. First, we preserve spatial context information when introducing the channel dependency, which enables pixel-wise inter-channel correlation modeling. At the same time, a bottleneck strategy is used to reduce parameters in the spatial dimension. Second, the channel convolution instead of the fully connected layer is employed to reduce the parameters in the channel dimension. In addition, the inter-channel correlation is merged into the backbone network directly in the form of residual, and thus the block can be embedded in any deep neural networks. Experiments on Market1501 and DukeMTMC-ReID datasets demonstrate that the channel convolution residual block improves the accuracy of person re-identification task effectively.
Finding Faults in Our Past: Uncovering the Messina Earthquake

The source of the deadly 1908 Italian earthquake may finally be identified, thanks to a fresh look at the geomorphology of the Strait of Messina.
Selection of Tourism Object Route in Lake Toba Area using Algorithm L-Deque

The tourist destination is a specific area or destination which are chosen by people who travel around. Lake Toba has shared a variety of attractions that quite interesting. It is including Samosir Island, Parapat, Ambarita, and many others that can cause difficulties for travelers to plan the route. It requires a geographic information system in determining the closest route between tourist objects to facilitate tourists in choosing the desired tourist attraction. This study used L-Deque algorithm where a linear list which adds and deletes elements can be done on both sides of the end of the list, but cannot be done in the middle of the list, while its function is to take an element from the queue. Based on the experiment, the results obtained from the built system shows that the L-Deque algorithm can provide solutions in the determination of the closest route with the results of the efficiency level of more than 8.3% applied for Lake Toba case.
ANALISIS DAN PERANCANGAN SISTEM INFORMASI DISTRIBUSI BIBIT SAWIT BERSUBSIDI PADA DINAS PERKEBUNAN PROVINSI JAMBI

Oil palm is one of the leading plantation commodities in Jambi Province, in addition to plantationcompanies, farmers independently play an active role in participating in the development of oil palmexpansion. Requests submitted by farmers from several regencies are still on behalf of the temporaryfarmer group which is more recommended by individuals so that the people who have not received thesubsidized palm oil seeds consider that the Jambi Provincial Plantation Service does not carry out thedistribution of oil fairly and evenly. The aim of the study was to analyze and design an informationsystem for distributing subsidized palm seeds with research benefits to make it easier for the JambiProvincial Plantation Office to distribute oil palm seedlings to farmers throughout the district, encourageinterest in seed producers to use quality and certified seeds, and minimize the circulation of low qualityseeds and not certified. The solution offered is a change in the information system displayed on a websitebased basis, through which this system makes it easy for visitors to submit requests for palm oil seedsquickly and easily. The system modeling tool used is UML (Unified Modeling Language). The resultingoutput is a prototype with a report on the distribution of subsidized palm oil seedlings distribution.
PENGEMBANGAN DESAIN PEMBELAJARAN PADA KELAS PROFESIONAL PGMI MENGGUNAKAN GOOGLE CLASSROOM

This research is a development research with the aim of designing the development of learning design in professional classes using Google classroom and group learning methods. The development of this design was tested by the feasibility test outlined by BSNP, namely regarding the eligibility of content, feasibility of presentation, and achievement of learning outcomes obtained an average percentage of 86.73% suitable to be applied in professional classes. In the professional class Google Classroom is very helpful in the lecture process so that all tasks can be completed in a timely manner and can be accessed from anywhere and anytime. Keywords : Professional Class, Google classroom, Qualitative
Statistical Internet based Analysis of the Affixoid-ma in Modern Mandarin Chinese

This study examines recent morphological development -mā mother in Modern Mandarin Chinese, such as that in dānqīn mā 單親媽 ‘single mother’. Our data are taken from the Taiwan News Smart Web (2019). Collocation (Halliday 1966, Dunning 1993) and Semantic prosody (Sinclair 1991, Stubbs 1996) is the research framework of this study. Then the criteria for identifying affixoids (ten Hacken 2000, Elsen 2009) will be taken for further examining the data. The goal of the study is to investigate the morphological and semantic attributes of [X-ma] nominals and to find out why the affixoids are productive. The research goals are: (1) to reveal the semantic prosody of [X-ma] nowadays; (2) to show whether the [X-ma] structures are compounding or affixation. The findings indicate that [X-ma] expresses more positivity than negativity. The –ma in Modern Mandarin is developing toward an affix, now an affixoid.
Editions of Ancient Greek historians in the Muravyovs’ library

М. В. Ленчиненко, А
Ubiquitous Music, Gelassenheit and the Metaphysics of Presence: Hijacking the Live Score Piece Ntrallazzu 4

Originally composed by Marcello Messina, Ntrallazzu is a cycle of pieces for live score and electronics built on Max, and involving various instrumental line-ups. In particular, Ntrallazzu 4 was performed by Luzilei Aliel on the pifano and electric guitar in Sao Joao del Rei during the VIII UbiMus workshop. Aliel's particular setup also involved a further layer of processing: namely, the usage of Pure Data alongside Ableton Live in order to literally hijack the original piece and open a whole set of unforeseen possibilities that abundantly transcend the original intentions. In this paper, we signify our experience by means of the concept of comprovisation, while we situate Ntrallazzu 4 within the domain of ubiquitous music. Furthermore, we make use of the Heideggerian concept of Gelassenheit and of the Derridean concept of Metaphysics of Presence (as reformulated by Joseph Pugliese) in order to make sense of the piece.
PEMBERDAYAAN MASYARAKAT BERBASIS POTENSI LOKAL DALAM PROGRAM “MERINTIS KAMPUNG LITERASI MEDIA DI DESA WARUNGASEM KECAMATAN WARUNGASEM KABUPATEN BATANG, JAWA TENGAH”

Technological progress is a necessity that must be faced by all parties, including the emergence of positive and negative impacts that exist. Furthermore, this inability to cope with change and progress will bring about the consequences of negative impacts, including those related to media development. And this must be overcome, through various efforts, one of which is the media literacy movement. Using qualitative research methods that are done by working with data, organizing data, sorting it out, searching and finding patterns, finding what is important to report, this article tries to uncover how the implementation of Local Potential-based Community Empowerment in the Pioneering Media Literacy Program in Warungasem Village Warungasem District Batang Regency . The results of this study are that media literacy-based community empowerment programs are carried out by synergizing four activity clusters, namely Journalistic and Web Clusters, Photography and Videography Clusters, E-Commerce Clusters and Design and Environment Clusters. The four clusters are synergized to realize Warungasem as Media Literacy Village.Keywords: media literacy village, community empowerment, local potential-based.
Benefits of Document Management systems (DMS) for offices ? Document Management System

This is example of JATS file that parsed by this theme. Lorem ipsum, or lipsum as it is sometimes known, is dummy text used in laying out print, graphic or web designs. The passage is attributed to an unknown typesetter in the 15th century who is thought to have scrambled parts of Cicero's De Finibus Bonorum et Malorum for use in a. JATS are taken from this link
A user perspective on ORCID: The past and the future

A user perspective on ORCID: The past and the future was presented by Dr. Andre Leon S. Gradvohl (UNICAMP) at the 2019 ORCID Staff Retreat. Dr. Gradvohl joined the retreat as the winner of ORCID's Year of the Researcher contest. https://orcid.org/blog/2019/06/26/and-lucky-winner
Eigenvalue Normalized Recurrent Neural Networks for Short Term Memory

Several variants of recurrent neural networks (RNNs) with orthogonal or unitary recurrent matrices have recently been developed to mitigate the vanishing/exploding gradient problem and to model long-term dependencies of sequences. However, with the eigenvalues of the recurrent matrix on the unit circle, the recurrent state retains all input information which may unnecessarily consume model capacity. In this paper, we address this issue by proposing an architecture that expands upon an orthogonal/unitary RNN with a state that is generated by a recurrent matrix with eigenvalues in the unit disc. Any input to this state dissipates in time and is replaced with new inputs, simulating short-term memory. A gradient descent algorithm is derived for learning such a recurrent matrix. The resulting method, called the Eigenvalue Normalized RNN (ENRNN), is shown to be highly competitive in several experiments.
Groundwater Contaminant Identification and Modelling Using Principal Component Analysis and Geostatistical Techniques

Groundwater which constitutes high percent of the global fresh water is the most important source of drinking water, which when polluted, have acute effects on its users.Consequently, the quality and pollution of groundwater is a health concern in the world.The target of this research is to evaluate the quality of groundwater around the Niger Delta Basin Development Authority in order to identify and analyze the distribution of the critical contaminants that affect the overall quality of groundwater water around the study area.About hundred (100) boreholes spread to cover the study area were sampled.The water samples were analyzed using standard procedures for assessing drinking water qualities in order to understand the existing condition of groundwater within the study area.Statistical analysis of the groundwater quality data was done using average weighted index method to compute the water quality index, factor analysis using principal component method to identify the groundwater contaminants affecting the overall groundwater quality and geospatial analysis using kriging interpolation method to evaluate the spatial distribution of the selected groundwater contaminants.From the principal component analysis, result revealed that; nitrate, total dissolved solids, concentration of iron, total suspended solids and turbidity were the most important contaminants affecting the quality of the groundwater.Result of geospatial analysis using kriging interpolation revealed that; the water quality parameters showed relatively strong degree of spatial dependency which made it possible to generate the spatial distribution map for the selected water quality parameters.
A novel puzzle-based image steganography technique

Steganography is an art of hiding secret information by embedding it in a medium like an image, thus it secures the information from unauthorized access of confidential information. This paper presents an image steganography technique using a Novel Puzzle. The solution of the puzzle is expanded and used as the reference matrix in determining the embedding location of the secret message in the cover image. Experimental results show that the resemblance between the stego-images and cover images is high. Having an average PSNR value of 48.64db and average SSIM value of 0.99965 the chances that the stego image will be recognized with the use of Human Visual System (HVS) is small. The proposed technique is robust against Salt and Pepper Noise attack with the simulation result of 95.87% accuracy.
De structuur van het verhaal

An explanation and exemplification of the narrative structure as it organizes all our stories.
Towards Query Processing Over Homomorphic Encrypted Data in Cloud

With data growth very fast, the need for data storage and management in the cloud in a secure way is rapidly increasing, leading developers to find secure data management solutions through new technologies. One of the most advanced technologies at present is cloud computing technology that functions as an online service. Cloud computing technology relies on an external provider to provide online demand services. On the other hand, this technology is pay-for-use technology which means that the user must pay for each service provided by the provider. When we have a look back at the literature, we can find that regular database management systems with query processing specifications do not meet the requirements in cloud computing. This paper focuses on homogeneous coding, which is used primarily for knowledge security within the cloud. Homomorphic encryption has been clarified because of encryption technology in which specific operations can be managed on encrypted data information.
Invited Speech 2 : An Overview Of Machine Translation

The global communication can be easily performed due to this linguist assistance.However, driving the translator to stay around is almost impossible.Thus, a technology support is needed to answer the problem.Machine translation (MT) could be the solution.It is a branch of machine learning, focused on computation of translating the source language into target language.The first type, rule-based MT (RBMT) has been evolved to various systems such as example based MT (EBMT), statistical MT (SMT), and Neural MT (NMT).Now, it is widely used as pedagogical tools, especially for who want to study the four foundational skills of foreign language learning.Its translation result is always refined, yet it is never beat the human translator.
Ensemble Classification Method Based on Truth Discovery

Classification is a hot topic in such fields as machine learning and data mining. The traditional approach of machine learning is to find a classifier closest to the real classification function, while ensemble classification is to integrate the results of base classifiers, then make an overall prediction. Compared to using a single classifier, ensemble classification can significantly improve the generalization of the learning system in most cases. However, the existing ensemble classification methods rarely consider the weight of the classifier, and there are few methods to consider updating the weights dynamically. In this paper, we are inspired by the idea of truth discovery and propose a new ensemble classification method based on the truth discovery (named ECTD). As far as we know, we are the first to apply the idea of truth discovery in the field of ensemble learning. Experimental results demonstrate that the proposed method performs well in ensemble classification.
Example for the use of the ImageJ plugin on images generated by iSIM. from A novel workflow for three-dimensional analysis of tumour cell migration

Parameters to be changed by the user in the graphical user interface (GUI) and resulting data generated by the plugin acting on an input image (top). The window length chosen by the user to define major protrusions (Windowmajor) and the sensitivity threshold value of b-ratio for detecting protrusions (dashed black line) are illustrated. Detection of protrusions by b-ratio (det) and localisation of them by maxima in b-product (max) are labelled in the graph. The plugin considers the outline as a closed polygonal line, and so the location of the third peak, i.e. the maximum in b-product between ‘det 3’ and ‘det 1’, appears before ‘det 1’ on the graph. E = eccentricity between perimeter and rounded perimeter, RP = rounded perimeter.
Public Opinion Data Fusion Method based on Ontology Semantics

In order to improve the decision-making level for public opinion responses and realize the semantic fusion of multi-level and multi-source heterogeneous public opinion information, an ontology-based public opinion information fusion method is proposed.Firstly, aiming at quick response decision-making, the situation assessment model of public opinion information fusion is studied, and the information fusion system is constructed.The multi-level evaluation model of situation recognition, situation understanding, and situation prediction is formed.Then, the multi-indicator ontology model and method for public opinion decision-making are constructed, and the public opinion data fusion model based on ontology semantics is proposed, which realizes the relevance analysis and semantic fusion of domain knowledge.Finally, a multi-level public opinion data fusion model is constructed, and the construction of the underlying emergency information knowledge base to support the above functions is deeply studied.The simulation results show that the feasibility and efficiency of the situation assessment problem are solved by this method, the time complexity and space complexity of attribute reduction and value reduction are reduced, and the matching efficiency of situation assessment rules is improved.
Temple Rock Damage Detection System in Digital Image at Borobudur Conservation Center

Borobudur is a temple where the building from andesite which is in an open space so that the temple stone will be susceptible to various problems that can cause stones to be damage and weathering. In this research, a system can be made that can study the types of damage to objects through the image file being tested, the segmentation method used K-means clustering, the method of texture feature extraction is Gray Level Co-occurrence Matrix (GLCM) and the classification method used K-Nearest Neighbor (KNN). In this test used 70 types of rocks that have causes of damage (alveol, microorganisms, salting) which are divided into two data, training data and testing data with a composition of 44 training data and 26 testing data. Then the testing of the test image dataset was 26 images consisting of 8 alveol images, 11 microorganisms images, and 7 salting images. The highest level of accuracy was obtained at 57.69% using the GLCM degree parameter θ = 45° and k = 7.
MODERN EDUCATIONAL APPROACHES IN THE TRAINING OF EXPERTS FOR MEDIA INDUSTRY

In the article the question of a new paradigm creating in training students on the course “Advertising and Public Relations”, focused on formation of competences and labour functions presented by professional standards is revealed. Media content as a didactic unit of educational process stipulates the necessity to develop additional abilities, media literacy, in particular. Media literacy is the basis of media competence. The specificity of the training course defines the choice of approaches to training: research training and electronic training.