Reviewerly/exHarmony huggingface dataset:
The Composite Assessment of River Performance viewed from Function, Structure, Public Participation and Government Regulation

River performance is a quantitative representation showing fairly good, requiring maintenance- or damaged conditions. The assessment is conducted to implement the maintenance with appropriate management. It is the manifestation of government, stakeholders, and community’s anticipation to conduct repairing and maintenance before the damage occurring. The criterion of assessment is expressed in percentage. The case study in Pepe Baru River of Surakarta was conducted by designing the assessment of condition viewed from function, structure, public participation, and government regulation aspects. Indicator weighing was conducted using ANP ( Analytic Network Process ) method with Super Decision Beta software. The assessment of these components resulted in field weight. The assessment of function using Hec-Ras software, Structure aspect with visual observation, Public participation level was conducted using questionnaire distributed to the society with Guttman, Linkert scale method, and assessment according to government regulation. From the result of analysis, it could be found the indicator weight and field weight, so that the assessment of river performance was obtained. The result of performance assessment with 80%-100% score was categorized into good, 50%-79% into fair, and 0%-45% into poor. Considering the result of analysis on the performance analysis, it could be found the score of 74% indicating fair condition and the maintenance was required to improve the performance.
Using Multiple Encoders for Chinese Neural Question Generation from the Knowledge Base

Question generation is an important task in the field of natural language processing and intelligent tutoring system. Previous work on Chinese question generation focused on the rule-based approach, which requires a large amount of human resource to develop the question generation rules. With the recent success of deep neural network in natural language processing, especially the encoder-decoder neural network framework in machine translation, this study explored the effectiveness of the encoder-decoder network in Chinese question generation, where a triple from the knowledge base as an input is encoded and a question as the output is decoded. More importantly, the traditional encoder-decoder network is extended to have multiple encoders that can capture more diverse features to represent the triple. The study results showed that the model with multiple encoders outperformed the traditional encoder-decoder neural network by 1.78 BLEU points.
Image Reconstruction by Orthogonal Moments Derived by the Parity of Polynomials

Moments are a kind of classical feature descriptors for image analysis. Orthogonal moments, due to their computation efficiency and numerical stability, have been widely developed. We propose a set of orthogonal polynomials which are derived from the parity of Hermite polynomials. The new orthogonal polynomials are composed of either odd orders or even ones of Hermite polynomials. They, however, are orthogonal in different domains. The corresponding orthogonal moments, Hermite-Fourier moments are defined. The computation strategy for these new moments is formulated in addition. Image reconstruction in comparison with Zernike moments as well as Fourier-Mellin moments shows the better image representation ability of the proposed moments.
Heterogeneous Data Clustering Considering Multiple User-provided Constraints

Clustering on heterogeneous networks which consist of multi-typed objects and links has proved to be a useful technique in many scenarios. Although numerous clustering methods have achieved remarkable success, current clustering methods for heterogeneous networks tend to consider only internal information of the dataset. In order to utilize background domain knowledge, we propose a general framework for clustering heterogeneous data considering multiple user-provided constrains. Specifically, we summarize that three types of manual constraints on the object can be used to guide the clustering process. Then we propose the User- HeteClus algorithm to solve the key issues in the case of star-structure heterogeneous data, which incorporating the user constraint into similarity measurement between central objects. Experiments on a real-world dataset show the effectiveness of the proposed algorithm.
Evaluation of Solar Energy Potential for the Red Sea Project, Kingdom of Saudi Arabia

There has been extreme utilization of petroleum derivatives in recent decades for the generation of electrical vitality, which is contaminating nature in a regularly expanding approach to respond to the exponential demand for electrical power.In light of the essential vision of Saudi Arabia's government towards the fractional change of reliance on oil as a national wellspring of economy, there is consideration for dependence on resources available inside the country, especially the potentials of renewable sources as alternatives.Saudi Arabia appreciates its geographical advantage inside the sun-belt zone, which has the most impressive sun-situated radiation total on earth.It is a correlative ideal position to consider interest in this valuable asset, through which it can achieve its vision by virtue of its promising whole deal prospects.This study highlights an approach for creating sunlight-based maps that examines the intensity of sun-radiation and its viability to deliver power.The system is to record the measures of sunlight radiation from several allocated data acquisition sites over the study area and balance them with the standard count, and later, make a sun-map in light of the yield.Likewise, the study will register the rate of energy from sun-situated radiation for the area and make preliminary proposals for the achievement of this test.
Improved active contour model for multi-phase MR image segmentation and bias field correction

Magnetic resonance imaging (MRI) has been applied in the imaging of all tissues of human body. It is an important method for doctors to analyze the cause of diseases. In particular, the accurate segmentation of MR images is significant for doctors to diagnose the etiology. However, due to the limitation of the MRI equipment and technology, magnetic resonance (MR) images always have the intensity inhomogeneity and fuzzy edges, which makes the MR image segmentation more difficult. In this paper, the authors propose an improved multi-phase active contour model based on the clustering method, which can accurately segment the multiple tissues and correct the bias field of MR images at the same time. The authors give the multi-phase energy functional and minimize it by the split Bregman method, and experimental results show that the proposed model is more accurate and efficient.
Pengaruh Model Kolaboratif Berbasis Masalah terhadap Kepuasan Belajar Siswa Sekolah Dasar

&lt;div align="center"&gt;&lt;table width="645" border="1" cellspacing="0" cellpadding="0"&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td valign="top" width="439"&gt;&lt;p&gt;&lt;strong&gt;Abstract:&lt;/strong&gt; This reseach was aimed to determine the effect of problem based learning collaborative model on learning satisfaction. This research was conducted at 5&lt;sup&gt;th&lt;/sup&gt; grade in MIN 2 Serang of academic year 2018/2019. The approach of this research was quatitative research &lt;em&gt;Nonequivalent control group design&lt;/em&gt;. The results of the study show that there is no effect of the problem-based colourorative model on learning satisfaction of elementary school students.&lt;/p&gt;&lt;p class="Abstract"&gt;&lt;strong&gt;Abstrak:&lt;/strong&gt; Penelitian ini bertujuan untuk mengetahui pengaruh model kolaboratif berbasis masalah terhadap kepuasan belajar siswa sekolah dasar. Penelitian ini dilaksanakan pada kelas V di MIN 2 Serang tahun ajaran 2018/2019. Adapun pendekatan penelitian yang digunakan adalah kuantitatif dengan desain &lt;em&gt;Nonequivalent control&lt;/em&gt; &lt;em&gt;group design&lt;/em&gt;. Hasil penelitian menunjukkan bahwa tidak ada pengaruh model kolaboratif berbasis masalah terhadap kepuasan belajar siswa sekolah dasar. &lt;/p&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;
Inference for Ordinal Log-Linear Models Based on Algebraic Statistics

Tools of algebraic statistics combined with MCMC algorithms have been used in contingency table analysis for model selection and model fit testing of log-linear models. However, this approach has not been considered so far for association models, which are special log-linear models for tables with ordinal classification variables. The simplest association model for two-way tables, the uniform (U) association model, has just one parameter more than the independence model and is applicable when both classification variables are ordinal. Less parsimonious are the row (R) and column (C) effect association models, appropriate when at least one of the classification variables is ordinal. Association models have been extended for multidimensional contingency tables as well. Here, we adjust algebraic methods for association models analysis and investigate their eligibility, focusing mainly on two-way tables. They are implemented in the statistical software R and illustrated on real data tables. Finally the algebraic model fit and selection procedure is assessed and compared to the asymptotic approach in terms of a simulation study.
The Study of Terrestrial Solar Radiation in Awka Using Measured Meteorological Data

This work investigated the terrestrial solar radiation over Awka, South Eastern Nigeria using meteorological parameters of terrestrial temperature and relative humidity collected during 2013- 2014 respectively, using Davis weather station vantage pros2 (with Integrated Sensor Suite, ISS) positioned close to the ground surface. The data were logged at 30 minutes interval continuously for each day during the period. Hourly, daily and monthly averages of terrestrial radiation during dry and wet seasons were calculated from the data obtained. The result indicated that the terrestrial radiation during dry season is generally higher than during the wet season. The month of March has the highest value of terrestrial solar radiation of 410 Wm-2 , while the least terrestrial radiation of about 381 Wm-2 occurred in August. The result also showed that terrestrial solar radiation correlates positively with water vapour and more positively with temperature at 0.57 and 0.81 coefficients respectively. The results obtained from this work provide useful knowledge that is necessary to enhance the deployment of solar energy conversion systems.
Research Climate and Institutional Support in Improving Performance of Scientific Publications at Private University in Indonesia

outcomes of research.Universities that have a high number of scientific publications have high competitiveness in a country.The position of Indonesian publications in terms of numbers has outperformed Singapore and Thailand, but the level of citations to Indonesian journals remains low.So that this research must be carried out immediately which aims to produce a study of: the influence of the climate of research and institutional support in increasing the quantity and quality of scientific publications of private universities in Indonesia.The novelty in this study is that the number of scientific publications will increase if the Research Climate at the university is conducive and strong institutional support.The method used in this study uses quantitative research using Structural Equation Modeling analysis tools.The unit of analysis in this study is a private university in Indonesia.The targeted results are an increase in the quantity and quality of Indonesian scientific publications.
Artistic and stylistic peculiarities of the graphic work of Petro Lapyn, illustrator of the children's books in the first third of the 20th century

The beginning of the 20th century is a period of creative and printing experiments in the Ukrainian art. New generation of Ukrainian books was born in this period. The illustration of the children's books was a significant part of this process. Famous Ukrainian graphic artists, such as H. Narbut, M. Zhuk, O. Sudomora, V. Kononchuk, took part in the creation of a new Ukrainian children's book. Some little-known artists also worked with them, and their creativity was an important part of the artistic process. Petro Lapyn was one of those artists. From 1917 to 1929, he worked with the famous publishing houses, such as Vernyhora, Derzhavne Vydavnytstvo, Proliski, Knyhospilka and Rukh. Children's books, illustrated by P. Lapyn, are kept in the funds of the Pedagogical Museum of Ukraine, the National Library of Ukraine for Children, Ivan Fedorov Book Chamber of Ukraine and private collections. We have found about 30 of his projects. But the information about the artist himself and his life is quite limited. One of the first books he illustrated was the poem of S. Rudanskyi «Vovk, Sobaka ta Kit» («The Wolf, the Dog, and the Cat»), published in black and white in 1918. This early Petro Lapyn's work revealed his artistic outstanding peculiarities: vibrant linear drawing, harmonious combination of text and illustrations, variety of graphic techniques and skills in the representation of characteristic features. The high point of the artist's career is the illustration of «Crows and Owls», I. Franko’s fairy tale, printed in 1926 (Kharkiv, Rukh). It demonstrates the animalistic works of the artist. There are typical structural elements in fairy tale books: vignettes, drop caps. P. Lapyn uses decorative handwritten fonts and silhouette drawings for them. His graphic creations are full of emotions. Specific features of his work are: humour, emotionality, anthropomorphism, careful attitude towards literary material, and consistently high level of drawing.
Needs analysis on Indonesian language learning materials about agriculture for foreign speakers

The aim of this research was to analyze the needs on integrative content-based Indonesian language learning materials about agriculture for foreign speakers A2 level. Research and development design was used employing the Dick and Carey’s model combined with Borg and Gall’s model, as well as the model of learning materials development proposed by Tomlinson, Brown, and Jolly and Bolitho. This research was conducted at Indonesian for foreign speakers, Bogor Agricultural University program (BIPA IPB) on academic year 2015-2017. The procedure comprised: pre-study, students’ and teachers’ needs analysis on teaching materials at BIPA IPB. The findings indicated that the teaching materials about agriculture are not available yet at IPB. Besides, the needs on integrative content-based Indonesian language learning materials about agriculture for students at A2 level and the teachers were indicated high.
Label transfer between images and 3D shapes via local correspondence encoding

We present a generic and accurate method to transfer part-level labels from annotated 3D shapes to images or annotated images to 3D shapes. The label transfer problem is formulated as a Conditional random field (CRF) model, in which a novel local correspondence encoding term encoding the probability of label assignment of each pixel as a label histogram serves as the likelihood of the labels. With the aid of local correspondence encoding, highly accurate part-level label transfer results can be easily achieved. Our method works well for the bi-directional label transfer between 3D shapes and images, suitable to image-guided 3D shape segmentation, 3D shape-guided image segmentation, and has also found various applications. We thoroughly evaluate our method and demonstrate its superiority over the state-of-the-art methods through experiments on benchmark datasets.
A Framework for Understanding the Empowerment Effects of Telecentres on Rural Communities in Developing Countries

This paper proposes a framework for understanding how individuals empowered by telecentres, in return, empower their rural communities. The issue is that although ICT4D projects such as telecentres are viewed as a vital way to foster social economic development, their effectiveness on reducing digital exclusion is continuously being questioned. This research suggests that the way telecentres users empower communities is key to understanding how communities can harness ICTs (Information and Communication Technologies) to fight against digital exclusion. The study adopts qualitative research methods and targets two telecentres in Malawi. The study will help understand how individuals empowered by the use of ICTs such as telecentres can then empower members of their community. Hence, this study will provide insights of how ICTs can also become means to generate collective empowerment.
Automation in Blur Image Detection with Segmentation using Machine learning

One of the definition of blurring with respect to Laplacian is decrease in the variance.Blurring with respect to frequency domain means low frequency where high frequency represents edge.It occurs either because of motion or out of focus parameter.Blur is classified in two types (Local and Global Blur).In this research paper, both the blurred and unblurred images are passed through Fourier transform which calculates the high frequencies as well as low frequencies from the images.In other words, it transforms image from spatial domain to frequency domain.Labels for both blurred as well as unblurred images are chosen as the target i.e. 1 for blurred and 0 for unblurred.These set of images are trained using both support vector machine as well as logistic regression which are tested on the real time images which detects the blur from the images.Trained Model run over the real time image and captures the blur from it.Both state of art method i.e. support vector machine as well as logistic regression is compared in the terms of performance parameters and it is concluded from the results that later winds over the former in both accuracy as well as receiver operating characteristic curve.
DATABASE STRUCTURE OF LAND ALLOCATION MANAGEMENT INFORMATION SYSTEM FOR ESTIMATING RUN-OFF IN WATERSHEDS

Changes in land use are so fast, has changed the pattern of surface drainage (run-off) in the river sub-system area in urban areas. The problem of stormwater is influenced by several factors, such as occupational problems of riverbanks, improper swamps, river tidal influences, which affect the capacity of river sub-systems in the region[1]. This study will discuss the spatial issues in surface water flow systems in urban spatial planning by emphasizing the integration of run-off and land allocation management. The method used in this study is to conduct spatial analysis using all Run-off parameters in the database structure by utilizing the Land Allocation Management Information System (SIMAL) interface built to test the magnitude of flood peaks using the Nakayasu HSS method, with a case study of the Jakabaring river sub-system , in the city of Palembang. The results obtained were able to see the conversion of swampland, which was utilized for the Palembang Sports City Region in the face of the 2018 Asian Games in Palembang City, has caused flooding in the Kedukan river region, part of the Jakabaring watershed, Seberang Ulu area, Palembang City, Indonesia. Based on the analysis using the Nakayasu unit hydrograph model, the occurrence of peak flooding will occur when rainfall reaches more than 120 mm / hour which causes the low river discharge to reach up to 400m3/sec. Making artificial lakes as a retention pool and at the same time as a sports venue has not been able to reduce the height of the inundation that occurs around 0.6 - 1.2 m above sea level.
Adding Security and Privacy to Genomic Information Representation.

Provision of security and privacy to genomic data is a key issue in current genomic information representation. Existing formats do not give a solution to these issues (or they provide a partial one), so new solutions are demanded. MPEG-G (ISO/IEC 23092, Genomic Information Representation) is an International Standard for the representation of genomic information being defined by the MPEG Committee (Moving Pictures Expert Group, ISO/IEC JTC1 SC29/WG11). We provide flexible protection to the information stored inside the MPEG-G format with a combination of security techniques and privacy rules.
Simulation of the effect of bit assignment to multi-hypothesis pictures per group for motion compensated video compression (MCVC)

This paper describes the Lagrange based formulation of bit frames over number of pictures in a group for motion compensated video compression. Theoretical insight on bit assignment is accomplished by applying Lagrange multip cost function for a real-time computational analysis. Video signals are compressed at optimal bit allocation for qualitative reconstruction at the decoder (receiver) depending upon the number of hypothesis used in coding the signal. This has m compensation (MHMC) a great process in the prediction of the actual signal through the combination of more than one motion compensated prediction (MCP). Optimal Bits were allocated to multi-hypothesis frames using MATLAB to opti frames per group of pictures (GOP) decoded for an improved signal compression. Simulation results show that an optimal bit assignment of the range 0.089 bpp to 0.159 bpp was realized with eight numbers of hypotheses frames per hypotheses actualizes optimal bit assignment for motion compensation. This shows a qualitative signal compression performance analysis for high technology motion pictures in communication services and storage pro greater time correlation between hypotheses and helps in the improvement of coding and reconstruction quality of video signals.
Decision-making system for recommending and evaluating competences networks based on interaction data

Companies face increased product complexity that involves reviewing and optimizing product development business processes.This leads to an increasingly multidisciplinary approach. Research units and multi-located organizations need also to set up multidisciplinary projects. Finding the right skills when building teams is then very crucial.A data analysis-based system that identifies and recommends skilled people on user request can help companies meet this challenge. In this paper,we present a decision-making tool, based on activity traces analysis, that helps its users in effectively spotting the right skilled people when needed, as well as providing indicators to assess recommendations in terms of accuracy or relevance.
Two-axes tilt sensing using circular gratings moiré

A circular grating moiré method is proposed for sensing the tilt magnitude (θ) and tilt direction (α) for tilt about two orthogonal axes. A device consisting of a pair of fixed (upper) and semifloating (lower) circular gratings inside a water-filled acrylic container has been developed. The moiré pattern images for tilt angles ranging from 0 deg to 7 deg are captured using a webcam, processed by low-pass filtering and transformed from Cartesian-to-polar coordinates. This is followed by column-wise fringe center localization using polynomial fitting, unwrapping of the extracted fringe centers, and sine-curve fitting. The peak-to-valley height (hpv) and phase shift (φ) of the unwrapped and fringe centers were determined from the fitted sine curve. The relationship between hpv and θ is found to be parabolic with the y-intercept at its minimum point, whereas that between φ and α is linear. From the tilt sensing experiments, the mean absolute errors in θ and α are found to be 0.16 deg and 3.1 deg, respectively, with uncertainty of ±0.027 deg and ±0.5 deg at 95% confidence level. The proposed device is capable of sensing tilt magnitude and direction along two orthogonal tilt planes and can potentially be applied in landslide monitoring.