Reviewerly/exHarmony huggingface dataset:
Morphological Analysis of Siak Sri Indrapura City in 2005-2018

Abstract Siak Sri Indrapura City is the one of a quite fast city in developing; it has increasingly seen since Tengku Agung Sultanah Latifah Bridge in 2007 which is the link between two areas that glide by the river for perfect accessibility. This study aims to examine the morphology Siak Sri Indrapura City in 2005-2018. The method of this study to use descriptive qualitative and quantitative analysis with GIS ( Geographic Information System ), which is analyzing and explaining phenomena in depth through in-depth data collection. The results of this study are known that the City of Siak Sri Indrapura experienced changed in land cover, land use, road and changed in building patterns and functions each year. The increase of the not built area is 15589 Ha or 83.45%, changed from the not built area into the built area is 2052 Ha or 10.99% and increase of land built area is 1039 Ha or 5.56%. The most dominant changed in land use in Siak Sri Indrapura City was increased of plantations, changed of plantations into settlements and increased of settlements. Road pattern is grid building pattern is heterogeneous and linear, a function of buildings dominated by residential buildings.
AI fun matters

Across: 1) Well recovered after effort. 7) Covered with water. 12) Small room extension. 13) ___ Artois, Belgian beer. 14) Identical copies (e.g., of a git repo). 15) Harry ___, the fictional wizard. 16) Country next to UK, in the local language. 17) Hastily prepare for an exam. 19) Object-oriented language. 20) John ___, British mathematician, Whitehead Prize recipient. 21) Being in the past. 22) Oil platforms. 23) Body twists? 25) Buenos ___, host of IJCAI 2015. 28) Theorem for conditional probabilities, popular in AI. 31) Modified. 35) Ways to utilize. 36) Pinot ___, a type of wine. 37) ___, Longoria, American actress. 38) Greek letter, symbol of Pearson's correlation. 39) ___ Ginsberg, AI scientist. 40) The termination of a person in their teens. 41) Painted in pessimistic shades. 43) A type of a function defined on the fly. 45) International agreement. 46) Tighter as a deadline. 47) Dispatches to a destination. 48) Tire patterns.
A survey of reversible data hiding based on HEVC video compression format

As effective information security method, reversible data hiding technique (RDH) could embed secret messages into a cover carrier in the reversible manner to achieve copyright protect and content authentication for various multimedia. Among them, recent HEVC video compression format is widely researched due to its high compression ratio. In the paper, a survey for HEVC based RDH is offered. According to our best knowledge, recent schemes could be mainly divided into three parts based on different criteria and mentioned as follows: (a) Different domains. How to build effective cover carriers in the HEVC coding framework for RDH is summarized, i.e., luminance DCT coefficients, motion vector and so on. (b) Various reversible data hiding (RDH) schemes. Many high-performance RDH methods, i.e., Difference Expansion (DE), Histogram Shifting (HS) and others, are adopted on above cover carrier to perform data hiding process. (c) Different demands. Based on different demands (namely target parameter), i.e., high capacity, low drift distortion and so on, the HEVC based RDH algorithms might be designed in different manners. Finally, based on above analysis, some perspectives and recommendations are presented to provide a better understanding on the trend of HEVC based RDH.
Energy Efficient Architecture of FrWF-based DWT for WMSNs/IoT

This paper proposes a novel energy efficient architecture for computing Discrete wavelet transform (DWT) of an image using the Fractional wavelet filter (FrWF) approach. The proposed architecture needs to read only a single image line in memory at a time, which results in less memory requirement. The performance of the proposed architecture is compared with existing FrWF architecture by implementing both the architectures on same FPGA board. Experimental results demonstrate that for an image of dimension 512×512, the proposed architecture has 50% lower number of computational cycles, requires 80% less number of multipliers, and 47.34% lower energy consumption than the FrWF architecture. The lower hardware resource requirement, reduced power consumption and reduced energy consumption of the proposed architecture make it suitable for computing DWT of images over Wireless multimedia sensor networks/Internet of things.
Who's There? Developing a Toolkit to Model People, Places, and Concepts in the Rijeka in Flux Map

Imagine yourself standing on the Trsat hill in the Croatian coastal town of Rijeka, facing the ocean. This article explores the tools and resources that make it possible to aggregate data about the entities (people, places, things, and concepts) that make up the history of the place where you imagine yourself standing. Working with the concept of deep mapping, the article outlines how the techniques are being used to enrich a digital map that captures the history of Rijeka, one of the European Union’s 2020 cultural capitals.
Vagueness and Intuitionistic Logic

Abstract This chapter considers the question: should we employ intuitionistic logic, not classical logic, when reasoning with vague concepts? In his commentary on Michael Dummett’s “Wang’s Paradox,” Crispin Wright presents an apparently powerful argument in favour of an affirmative answer to this question. This chapter advocates a less conclusive answer than Wright’s. It is argued that intuitionistic logic may be the strongest logic we are entitled to use in reasoning with any vague predicate, but there may also be common and central families of vague term where we are entitled to use classical logic.
Photometric camera characterization from a single image with invariance to light intensity and vignetting

Photometric characterization of a camera entails describing how the camera transforms the light reaching its sensors into an image and how this image can be defined in a standard color space. Although the research in this area has been extensive, the current literature lacks practical methods designed for cameras operating under near light. There are two major application scenarios considered in this paper that would benefit from this type of approaches. Camera rigs for minimally-invasive-procedures cannot be calibrated in the operating room with the current methods. This comes from the fact that existing approaches need multiple images, assume uniform lighting, and/or use over-simplistic camera models, which does not allow for the calibration of near light setups in a fast and reliable way. The second scenario refers to the calibration of cellphone cameras, which currently cannot be calibrated at close range with a single image, specially if the flash is used, as there would be non-uniform lighting on the scene. In this work, we describe a method to characterize cameras from a single image of a known target. This enables both geometric and photometric calibrations to be performed on-the-fly without making assumptions on the vignetting nor on the spatial properties of the light. The presented method showed good repeatability and color accuracy even when compared to multiple-image approaches. Applications to laparoscopic cameras, generic cameras (such as cellphone cameras), and cameras other than trichromatic are shown to be viable.
Visible-Infrared spectroscopy and chemical properties of water in mining area

Abstract The present research focuses to investigate the relationship between spectral and chemical characteristics of water samples in Darrehzar mine. In order to reach this aim the chemical characteristics of water were measured through pH, electrical conductivity (EC) and inductively coupled plasma mass spectrometry (ICP-MS) analysis. Furthermore, the visible near infrared (VNIR) and shortwave infrared (SWIR) spectra of water samples were measured by Analytical Spectral Devices (ASD) FieldSpec3 spectroradiometer and the relationships between spectral and chemical characteristics of water samples were calculated. Results of the pH and EC measurements showed that water with high acidity and EC values which indicates presence of acid drainage was located inside the mine. High concentration of copper, sulfur and iron at the samples could be related to copper mineralization and association with acid mine drainage. Results of spectroscopy revealed that second absorption feature (AF2) magnitude correlated significantly with pH (−0.599), EC (0.611) (p &amp;lt; 0.1) and total trace elements plus sulfur (0.822) (p &amp;lt; 0.05). The significant correlation of the AF2 magnitude with concentrations of S (0.854), Pb (0.914), Ni (0.836), Mn (0.834), Co (0.848) and AF3 with concentration of Fe (0.886) confirm that absorption feature magnitude increases by increasing metals concentrations in water.
Iterative Procedural Internet Search

Abstract The present study investigates the problem of sorting search result by relevance. The new algorithm based on iterative procedural Internet search is developed. The aim of the study was to improve the existing algorithm. Results show that applying the improved algorithm approximately doubles Normalized Discounted Cumulative Gain at k and therefore greatly decrease average time to find relevant documents in search results list.
INNOVATION AS A PEDAGOGICAL CATEGORY: ESSENCE AND FEATURES

The paper presents an innovative structure of pedagogical activity. It is noted that sociocultural competences (research competence, sociocultural and organizational competence, professional, informative and communicative competences, value-orientated competence, innovativecreative competence) are the core of personality. The factors’ system for the innovative research approach formation is defined. The requirements to the organization process of the pedagogical research are formulated. The functional meaning of the innovative approach is given. It is noted that research activities based on an innovative approach should be based on a set of principles (competence, axiological, personality-oriented) acting as the basic principles of research.
Denoising algorithm based on bilateral filtering and improved wavelet threshold function

In order to effectively remove the Gaussian noise in images while preserving the detailed information in images, a novel algorithm combines bilateral filter and image's method noise thresholding by using wavelet transform is proposed. Method noise can be obtained after subtracting bilateral filtering image from noisy image. And the method noise which is considered to be the sum of noise and image's details will be transferred to the wavelet domain. The improved threshold equation is used to raise the high frequency coefficient as a whole, and it is easy to separate the Gaussian noise component and retain effective information. After inverse wavelet transform, details can be acquired from the information. By adding the resulting details to the denoised image, we obtain the final image. The experimental results show that the proposed method can effectively remove noise and has rich details, which is visually superior to other existing filtering algorithms.
Using Mobile Applications and cloud technology for e-tutoring services

Tutoring has been popular among urban and rural populations ever since education was formalized. Many people face several problems with the way tutoring is handled and processed today. This is because of the lack of check and balance and regulation of the tutors and students. According to the work presented below, we have created a mobile application that works on cloud technology. It allows users to sign up as either a tutor or a student. Students can use the different filters to find the right tutors and vice versa. The cloud will store all the information necessary such as user information and graphical data. The cloud is also used to perform several calculations and processing.
Integrated Platform for Understanding Physical Prior &amp; Task Learning

Recently, many reinforcement learning algorithms within the field of robotics have demonstrated considerable performance in multiple physical environment tasks. However, their learning patterns are very different from those of humans. Humans develop their prior knowledge about the physical world and utilize it in task learning to learn effectively. On the other hand, in the case of general machine learning algorithms, tasks are performed without prior knowledge, thus creating a difference between humans and robots in their initial stages of learning. In order to reconcile this difference, it is necessary to study the learning and utilization of prior knowledge in reinforcement learning algorithms. To accomplish this, we propose a platform that integrates prior knowledge learning into task learning environments, and then we show configuration and application examples to emphasize the necessity and usability of this platform.
Reinforcing LiDAR-Based 3D Object Detection with RGB and 3D Information

LiDAR-based 3D object detection is efficient for autonomous driving because high accuracy LiDAR information is extremely useful for 3D proposals generation and 3D boxes regression. However, some background and foreground objects may have similar appearances in point clouds. Therefore the accuracy of LiDAR-based 3D object detection is hard to be improved. In this paper, we propose a three-stage 3D object detection method called RGB3D to reinforce LiDAR-based 3D object detection by using an RGB-D classifier with a 3D classifier in parallel. We also apply proper training method to improve the performance of the added classifiers. The 3D classifier is trained by using higher IoU threshold with refined 3D information, and the RGB-D classifier is trained with resized 2D RoIs projected from refined 3D boxes. Extensive experiments are conducted on the KITTI object detection benchmark. The results show that the proposed method is effective.
The utilization of levelled fuzzy logic for more precision results

Abstract The use of Fuzzy logic in the forecasting process, problem analysis, and decision making of the process is often used. The development of this fuzzy logic by widening the foot of the membership function as interval fuzzy type 2, fuzzy signature or carried out a hybrid between fuzzy logic and other artificial intelligence systems or a hybrid algorithm has also got quite good results. At this time, a multilevel fuzzy logic method is proposed. This multilevel Fuzzy Logic is interesting behind the input of a process in fuzzy logic, which is the output of the previous fuzzy logic or the output of a fuzzy logic analysis is input into the next stage of fuzzy logic. This multilevel fuzzy logic can be done up to several levels of depth according to the variables to be analysed. If the final analysis has the equation X(i) + Y(i) = Z(i), then the value of X (i) can be the result of A(i-1), where A(i-1) is the result of the Fuzzy Logic B(i-1) + C(i-1). by performing multilevel fuzzy logic is expected to have the value of forecasting errors or problem analysis and decision making better and more precise.
Assessing BIBFRAME 2.0: Exploratory Implementation in Metadata Maker

As interest in linked data grows throughout the cultural heritage community, it is necessary to critically assess current tools for conversion and creation of linked data and to explore new avenues for creating and encoding data using existing frameworks. This paper discusses the BIBFRAME 2.0 model and Library of Congress conversion specifications from MARC21 through the process of designing and implementing an adapted, minimal-level conversion framework into the cataloging web application, Metadata Maker. In the process of assessment, we identified and addressed local solutions for three key structural issues resulting from the Library of Congress conversion specifications: duplicated data, pervasiveness of blank nodes in RDF/XML, and prevalence of literal data values over URIs stemmed from the current MARC records environment. Additionally, we address concerns with how the BIBFRAME 2.0 model currently conceptualizes Work and linked data as a static record.
User-Centered Programming Language Design in the Obsidian Smart Contract Language.

Programming language design requires making many usability-related design decisions. However, existing HCI methods can be impractical to apply to programming languages: they have high iteration costs, programmers require significant learning time, and user performance has high variance. To address these problems, we adapted both formative and summative HCI methods to make them more suitable for programming language design. We integrated these methods into a new process, PLIERS, for designing programming languages in a user-centered way. We evaluated PLIERS by using it to design two new programming languages. Glacier extends Java to enable programmers to express immutability properties effectively and easily. Obsidian is a language for blockchains that includes verification of critical safety properties. Summative usability studies showed that programmers were able to program effectively in both languages after short training periods.
A Generalized Statement of Scientific Ethics Intended to Cover All Forms of Scientific Endeavor with the Primary Purpose of Protecting the Independent Researcher

The author finds that it is necessary to post a generalized statement of scientific ethics intended to cover all forms of scientific endeavor as society, government, and Science change and evolve.The author's method of research is based on 1) his own experiential interaction with publishers and universities, 2) what he sees happening politically around the world today, and 3) his own belief system, common sense, and logic on how to make Science better.Consequently, the author believes that a more stringent and specific statement of scientific ethics should be made.Plagiarism is one of the dirtiest activities in the world of Science today.It is practiced by desperate scientists and universities, both of whom desire personal aggrandizement and accolades to which they are not entitled.This practice seems to the author to be most prevalent by the larger scientific concerns against those of whom are referred to as "independent researchers".There are two research aims in this paper: 1) the main aim is to protect and alert "independent researchers" to nefarious practices being carried out and 2) the secondary aim is to suggest strongly to all scientists that the independence of Science as an "institution" is critical, before it is irretrievably swallowed up by government and the military, collectively called the State.
Power Spectral Density Estimation Using Statistical Smoothing of the Linear Difference Model Parameters of the Random Time Series

The parametric estimation problem of a power spectral density for a random process is considered. A linear difference equation with constant parameters as a discrete model of a random process time series is used. An approach that allows simultaneous parameters estimation of the model numerator and denominator is proposed. Such an approach made it possible to increase the computational efficiency of parametric estimation procedures of spectral density power. For a stable estimation of linear difference model parameters, an overdetermined system of equations is used. An increase in the equations number provides a statistical smoothing of the calculated estimates of the definable model parameters. In order to find the best estimates of the model parameters, the least squares method is used. The problem of choosing the model order is reviewed. As the simplest criterion for choosing the linear difference model order, we use the minimum of the residuals square sum. The scheme of the algorithm for the parameters estimating of a linear difference model is given.
Internet of Things in Monitoring and Notification of Industrial Security Systems

Abstract One of the factors that influence the course of industry is the security factor, which is represented by security devices and security guards on the internal security system. Information technology changes the security system to be more complicated. The purpose of this study is to monitor and protect security systems using information technology. The method used in this study is the Monte Carlo Algorithm. This research provides a solution to the problem of mathematical data and decisions. The results of this study are automated testing in real-time communication, both on mobile devices and websites. The accuracy of the first data test was 98% and the second data test was 98%. This research is very appropriate to be applied in the application of industrial security systems.
Image Reconstruction by Chebyshev-Fourier Moments

In this research, we have analyzed the Chebyshev-Fourier moments computing and found out that the errors are mainly caused by the computational issues of both radial and Fourier polynomials. To increase the accuracy of moments computing, we utilized the k × k numerical scheme in the computations of Chebyshev-Fourier moments and conducted the image reconstructions to verify our solution. The experimental results show that the performances of image reconstructions are highly satisfied. We have also performed image reconstructions from the different radial and Fourier orders of moments, and observed that the radial and Fourier orders of Chebyshev-Fourier moments preserve the information of circular and radial patterns, respectively.
Steganalysis by Recombining Spatial Rich Model

Abstract Steganalysis is an important topic in the field of information security. Steganalysis is mainly based on the traditional machine learning method, represented by the spatial rich model, and has high detection performance. Aiming at the problems of high feature dimension, strong redundancy and long feature extraction time in the spatial rich model, this paper conducts a series of feature selection operations and explores four different model combination methods: single quantization factor combination method, single filter kernel type combination method, mixed selecting combination method, Pearson correlation coefficient combination method. In addition, a feature preprocessing means are added. The experiment proves that the combination of mixed selecting combination and Pearson correlation coefficient can be stable with the performance of steganalysis before dimension reduction, but the performance dimension ratio is higher.
FORMATION OF SCIENTIFIC RESEARCH COMPETENCE OF STUDENTS IN THE PROCESS OF PROFESSIONAL TRAINING

The article covers the relevant scientific research competence of a foreign language teacher in modern conditions, describes its structure and content. The main methods of research include analysis of scientific literature, generalization and systematization of pedagogical experience on the problem, the survey of students to determine their readiness for research activities. The purpose of the presented research is a theoretical analysis of the formation of scientific research competence of students. The result of the study is to consider formation of research activities among students, which includes three stages: preparatory, main, and final with a set of tasks for each of them. The analysis of practical research has confirmed that specifically designed training is required to prepare students for scientific research activities. The most effective ways of forming scientific research competence involve different types of tasks, but the basics of the analysis are composed of specific methodological cases at a foreign language lesson. It can be stated that the formation of scientific research competence consists of a number of stages ensuring the formation of all its components as a complex. In conclusion scientific research competence creates favorable conditions for professional competence development of a foreign language teacher, as well as it has a positive impact on the development of the cognitive field of an individual.