Reviewerly/exHarmony huggingface dataset:
Application of geographical information system for the 3d modelling of close-range photogrammetry for documentation and landscape development of historical monuments

Abstract Historical monuments, in the form of immovable objects such as temple buildings are part of our lives, they represent our history. Historic buildings must be preserved for future generations, by documenting buildings in 3D. Three-dimensional (3D) Geographic Information System (GIS) can be used for landscape development planning around the building. 3D-GIS with GIS analysis function to provide information related to geographical location and 3D visualization. 3D GIS models can be interpreted as digital representations of terrain and objects contained in around. In this study, the method used is a close range photogrammetry method for 3D modeling using a non-metric digital camera. For the stages of research implementation, the stages of camera calibration, object shooting, processing of 3D models are divided. For the calibration process, 80% is obtained, fulfilling the calibration requirements. The building modeling phase consists of Automated Projects, the process of calculating and creating 3D models, 3D coordinate transformations, 3D model visualization and statistical analysis. Documentation of Gedong Songo Temple in Semarang Regency. This study 3D model results testing is done by calculating the difference in the distance of the model with measurements in the field (terrestrial) with the Electronic Total Station (ETS) and the distance measuring Tape. The results of the distance comparison analysis obtained a maximum distance shift value of 4.00 centimeters and an RMS value of 4.69 centimeters. The values obtained are relatively small.
Critical Analysis of Major Search Engines

This paper examines the overlapping of the results retrieved between three major search engines namely Google, Yahoo and Bing. A rigorous analysis of overlap among these search engines was conducted on 100 random queries. The overlap of first ten web page results, i.e., hundred results from each search engine and only non-sponsored results from these above major search engines were taken into consideration. Search engines have their own frequency of updates and ranking of results based on their relevance. Moreover, sponsored search advertisers are different for different search engines. Single search engine cannot index all Web pages. In this research paper, the overlapping analysis of the results were carried out between October 1, 2018 to October 31, 2018 among these major search engines namely, Google, Yahoo and Bing. A framework is built in Java to analyze the overlap among these search engines. This framework eliminates the common results and merges them in a unified list. It also uses the ranking algorithm to re-rank the search engine results and displays it back to the user.
IMPROVING STUDENTS’ LEARNING OUTCOME: IMPLEMENTATON MIND MAPPING METHOD WITH GOCONQR

This article aims to describe the improvement in student learning outcomes after applying to learn with the mind mapping method using the GoConqr application. This type of research is a quantitative descriptive. The sampling technique was purposive sampling, namely students who took the Telaan Fisika SM III at Lambung Mangkurat University 2018/2019 Academic Year. The number of research subjects is 15 students. Data collection techniques are using pretest and posttest. Data were analyzed using N-gain. N-gain test results obtained a value of 0.503. Therefore, it can be concluded that the effectiveness of learning with mind mapping methods using the GoConqr application is in the medium category. Thus, learning with the mind mapping method using the GoConqr application is effectively applied to improve student learning outcomes.
Effect of the Spillway Elevation on Flood Attenuation in the Bendo Dam

Bendo dam is a multi-purpose dam which used as a flood control, irrigation, raw water, also tour place. Moreover, in this study intends to know the safety of initial dam planning and determine the effect of the spillway elevation on flood attenuation in the Bendo Dam with discharge planned. In this research is fully calculated the maximum flood discharge also the safe freeboard and compare the amount of inflow and outflow in different elevation. This analysis used unit hydrograph synthetic nakayasu as a design discharge calculation and newton raphson method as a flood routing calculation. The location in this analysis is taken at Bendo Dam Ponorogo. The data needed in this calculation was rainfall data from 1996 until 2016 in Ponorogo area also earth map in Ponorogo area from internet. In this analysis, will be calculated effect of flood attenuation with the increasing of spillway 2 m, starting from 214.6 m until peak dam are 224 m. The result of this analysis, spillway elevation are used in Bendo Dam 218.6 m was safe to build. Then, the effect of spillway elevation is increase while the elevation increase also. In return period 1000 years the lowest value was 27.863% at elevation 214.6 m and keep increasing into 29.543% at elevation 216.6 m, 30.982% at elevation 218.6 m and maximum was 32.490% at elevation 220.6 m. Then, at PMF discharge, the lowest value was 24.949% at elevation 214.6 m and keep increasing into 26.390% at elevation 216.6 m, 27.908% at elevation 218.6 m and maximum was 29.492% at elevation 220.6 m.
Social, Psychological and Environmental Effects of Pollution in London from the Eyes of British Poets

This study aims at studying social, psychological and environmental effects of pollution in London in British Poetry within the framework of ecocriticism.Since pollution is a growing problem in London since Middle Ages, the paper will focus on how pollution problem has been reflected in British Poetry with a brief background information on the history of pollution in London.Since England is the first industrialized country, London had been the first city that faced with the environmental pollution in the modern term.This problem which threatened the environment has been the subject of literature of the period especially to the poetry which had been the voice of the society for ages.However, it is ecocriticism, a new literary movement initiated in 1990s that paved the way to the analysis of literary texts under the light of environmental aspects.For this reason, environmental pollution problem in British Poetry will be handled within the frame of ecocritical method.In conclusion, with a study on environmental pollution problem from social, psychological, environmental aspects in the poems of selected poets from seventeenth century to the contemporary period within the frame of ecocriticism, the paper aims to emphasize that as the problem of pollution gets more serious, its reflection to the poetry is equally felt more obviously in the poetry.
Unsupervised anomaly detection in time series with recurrent neural networks

Artificial neural networks (ANN) have been successfully applied to a wide range of problems. However, most of the ANN-based models do not attempt to model the brain in detail, but there are still s ...
LibGuides: JSTOR for climate change research: Artstor's Public Collections

This guide highlights JSTOR's open access content related to climate change, and the tools available to enhance your research.
All guides: Library services for RMIT alumni: eBooks

Use this guide to find out about library benefits and services for the RMIT alumni community; includes how to gain free access to selected online databases, print collections and audiovisual collections. Includes information on accessible eBook and eBook databases available to Alumni
Parametric Shape Descriptor Based on a Scalable Boundary-Skeleton Model

A parametric shape descriptor based on the relation between contour convexities and skeleton’s branches of a shape is suggested. The descriptor contains the set of a polygonal figure convex vertices approximating a raster image and estimations of significance for curvature features corresponding to the vertices. The estimations are calculated with use of a boundary-skeleton shape models family generated by the polygonal figure. The applications of the suggested shape descriptor to the face profile line segmentation and content based image retrieval are described.
Classification of Seismic Body Wave Phases Using Supervised Learning

The task of accurately distinguishing between arrivals of different types of seismic waves is a common and important task within the field of seismology. For data generated by seismic stations oper ...
LibGuides: Topic Selection for Lib 200: Home: start here

This guide serves as your starting point in identifying a possible topic to explore for the final assignment
Exploring Machine Translation on the Chinese-Vietnamese Language Pair (Extended Abstract)

In the machine translation field, a common approach for more than two decades has been phrase-based statistical machine translation (PSMT). However, deep learning-based machine translation, also called neural machine translation (NMT), has emerged as a potential new approach to machine translation. Initial findings show that NMT yields better results than PSMT in some language pairs, while NMT results for some language pairs are less than or equal to PSMT results. In this paper, we initially studied and performed machine translation-based NMT for the Chinese-Vietnamese language pair. In addition, we performed machine translation-based PSMT on the same Chinese-Vietnamese bilingual corpus. The experimental results showed that NMT yielded better results (indicated by Bilingual Evaluation Understudy (BLEU) scores) than PSMT, although in some specific cases, NMT translation results were lower than those of PSMT.
Classes in Object-Oriented Programming

An object is essentially a representation of a thing. An object has some attributes, just like everything has characteristics. However, a class in the programming world is primarily a data structure designed for a specific object. The class is also said to be a blueprint of an object. It keeps track of a bundle of related things about the object. These related things are known as fields, properties, and functions (or methods).
A streaming multi-class support vector machine classification architecture for embedded systems

&lt;p&gt;Pedestrian detection, face detection, speech recognition and object detection are some of the applications that have benefited from hardware-accelerated SVM. SVM classification computational complexity makes it challenging for designing hardware architecture with real-time performance and low power consumption. On an embedded streaming architecture, test data are stored on external memory and transferred in streams to the FPGA device. The hardware&lt;br /&gt;implementation for SVM classification needs to be fast enough to keep up with the data transfer speed. Prior implementation throttles data input to avoid overwhelming the computational unit. This results in a bottleneck in overall streaming architecture as maximum throughput could not be obtained. In this work, we propose a streaming architecture multi-class SVM classification for embedded system that is fully pipelined and able to process data continuously with out any need to throttle data stream input. The proposed design is targeted for embedded platform where test data is transferred in streams from an external memory. The architecture was implemented on Altera Cyclone IV platform. Performance analysis on our proposed architecture is done with regards to the number of features and support vectors. For validation, the results obtained is compared with LibSVM. The proposed architecture is able to produce output rate identical to test data input rate.&lt;/p&gt;
APLIKASI PENGADUAN MASYARAKAT BERBASIS MOBILE WEB DI KECAMATAN TARUTUNG

Public complaints are an important element in government agencies because complaints aim to improve the shortcomings of activities carried out by the government. Complaints from the Tarutung Subdistrict community have not been fully maximized regarding administrative activities in the sub-district including the schedule for distributing Raskin, taking family card files, ID cards, and others. Based on the background of the above thoughts can be identified as a problem that is how to design an application for public complaints services and information that can be felt directly by the community without having to spend much time on the complaints process. The purpose of this study is to build a mobile web-based application that can be accessed through a web browser. This application is built with the PHP programming language and uses the MySQL database as a database server. The results of this research are complaints applications that provide convenience in terms of online public complaints.
Professional standards as a factor of adaptation of human resources to the industry 4.0: approaches to development and implementation

The aim of the work is to study approaches to the development and implementation of professional standards in order to improve the adaptability of human resources to the Industry 4.0. The article examines the possibilities and problems of qualitative modernization of vocational education based on formation of the national system of qualifications with the use of professional standards. The methodology of development of professional standards is investigated, and recommendations on improvement of this process with the use of competence-based approach are given. The main directions of policy at the macro and micro levels for the development of professional standards that meet the requirements of the labor market of the new industry are determined.
LibGuides: How to Find Company and Industry Information: Nexis Uni (formerly LexisNexis)

This guide will assist you in locating company and industry information using library resources.
LibGuides: Learn at the Libraries: Information for Faculty

Learn more about university level writing, how to search the library, and the correct way to use references.
LibGuides: JSTOR for climate change research: Research Tools on JSTOR

This guide highlights JSTOR's open access content related to climate change, and the tools available to enhance your research.
Suggestions for Composition of Korean Ancient History of Secondary School History Curriculum

양질의 교육을 위해서는 잘 구성된 교육과정이 중요하다. 중등 역사교육에서 학교 간 위계성의 확보는 교육과정이 개편될 때마다 주된 논의 대상이 되었다. 2015 교육과정에서 한국사 교육은 중학교는 전근대사 중심, 고등학교는 근현대사 중심으로 서술한다는 시대사 기준의 차별화를 시도하고 있다. 하지만 시대사를 기준으로 학교급 간 계열화를 시도는 그리 성공적이지 못했던 사례가 있어 우려되는 부분이다. 본고는 한국고대사를 주논제로 하여 향후 개정될 중등 역사교육과정을 어떻게 구성하는 것이 좋을 지에 대해 고찰해 보았다. 우선 고등학교의 경우 민주시민교육의 정착을 위해 토론식 수업과 이를 위한 주제식 교과서 서술이 가능한 방향으로의 개편을 모색하였다. 관련 주제로는 유사역사학에서 보는 한국고대사, 동북공정과 중국의 한국고대사 왜곡, 신라 삼국 통일의 의의, 남북국 시대와 발해사 귀속 문제 등을 예시하고 간략히 검토해 보았다. 중학교는 역사 학습에 대한 흥미 유발과 역사 기본 지식 함양에 중점을 두어 활동식 수업과 교과 연계 독서 교육을 활성화할 수 있도록 교육과정이 개편되어야 함을 피력하고, 관련콘텐츠와 읽기 자료 개발 등이 시급함을 지적하였다.A well-organized curriculum is important for quality education. The securing of hierarchy between schools in the history of secondary education has become the main subject of discussion whenever the curriculum has been reorganized. The 2015 revised history curriculum attempts to differentiate itself based on the age, middle schools focusing on ancient and Mediaeval history, and high schools focusing on modern history. However, it is concerned that there is a case that the attempt to serialize between school level based on the age was not so successful. This article examines how to construct a secondary history curriculum that will be revised in advance with the theme of Korean ancient history. In the case of high school, we sought to reorganize the Discussion-based Class in order to establish the democratic civic education and to make it possible to construct the topic-based textbook for it. Related topics
Blockchain as an Innovative Technology in the Strategic Management of Companies

Thus, the blockchain technology is currently being actively developed; it is a promising tool for many fields of the economy and business. The advantages of a distributed registry, such as the lack of a hierarchy of participants, the ability to conduct transactions with protected personal data, the high ability to adapt to various processes-from conducting operations in insurance to tracking the supply chain of goods-make this technology and solutions based on it more than relevant. The ability to optimize processes and create cheaper alternatives to existing mechanisms is confirmed by the experience of companies such as ING, Santander, Walmart, Maersk, etc. The prospect of conducting secure transactions protected by cryptography and consensus mechanisms attracts billions of dollars of investment in blockchain projects around the world.
THE EFFECT OF USING CONSTRASTIVE METHOD IN TEACHING ENGLISH NOUN PHRASES

The aim of this study was to find out the effect of contrastive method toward students’ English noun phrases ability, the reflection of students comprehension toward the phrases and the students’ perception toward the method in teaching English noun phrases. The object of this study was students at MTS Negeri 3 Mataram grade VIIIA. This study was quasi-experimental that applied mix method: quantitative and qualitative research method. The instruments for collecting data in this study were a test, questionnaire, and interview guide. The result of this study showed that the method had a positive effect on students’ ability in constructing English noun phrases, and the preception of the students toward the method was positive as well. The method affects the students' ability in constructing English noun phrases correctly.
Finite and Infinite Games. A Film Transcript

No AccessFinite and Infinite Games. A Film TranscriptSarah MorrisSarah MorrisSearch for more papers by this authorhttps://doi.org/10.14220/9783737010399.263SectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack Citations ShareShare onFacebookTwitterLinkedInRedditEmail About Previous chapter Next chapter FiguresReferencesRelatedDetails Download book coverAlexander Kluge-Jahrbuch.Volume 6 1. AuflageISBN: 978-3-8471-1039-2 eISBN: 978-3-7370-1039-9HistoryPublished online:November 2019 PDF download
Analysis of neural network reliability in safety-critical applications

Convolutional Neural Networks todays are widely used in many scenarios, thanks to their exceptional performance in terms of prediction accuracy. Despite they are considered a error-tolerant models, their deployment in safety-critical domains require a careful evaluation in order to foresee the effetcs due to system failures. Our goal is to test CNNs reliability during inference phase by highlighting when the classification results deviate from the correct one. In this work we propose a methodology that evaluates reliability through a fault-injection campaign. Permanent fault are injected at the output of multiplications between weights and input feature maps. Experimental results show that the network works properly only for faults restricted to certain locations, ensuring the same accuracy level of a fault-free inference.
Design and Implementation of Mobile Micro-Course Teaching Interactive Platform Based on App

Based on the relevant technologies involved in the construction of APP mobile teaching platform, this paper makes a detailed analysis of the teaching management business from the aspects of overall business requirements, system functional requirements, performance requirements, and introduces the design of the mobile teaching platform in detail. Then, the system architecture design, functional modules and database are performed specific solutions. According to APP designing and development, to acquire scientific and operable system, which can help scientific research to listen to and evaluate classes. The test results show that the research has a strong pertinence, and its target is convenience of teachers and students. The suitable applications for the users of the system is proved to realize the functions required by teachers and students.
FAGON: Fake News Detection Model Using Grammatical Transformation on Deep Neural Network

As technology advances, the amount of fake news is increasing more and more by various reasons such as political issues and advertisement exaggeration.However, there have been very few research works on fake news detection, especially which uses grammatical transformation on deep neural network.In this paper, we shall present a new Fake News Detection Model, called FAGON(Fake news detection model using Grammatical transformation On deep Neural network) which determines efficiently if the proposition is true or not for the given article by learning grammatical transformation on neural network.Especially, our model focuses the Korean language.It consists of two modules: sentence generator and classification.The former generates multiple sentences which have the same meaning as the proposition, but with different grammar by training the grammatical transformation.The latter classifies the proposition as true or false by training with vectors generated from each sentence of the article and the multiple sentences obtained from the former model respectively.We shall show that our model is designed to detect fake news effectively by exploiting various grammatical transformation and proper classification structure.
Analysis of Emoji Usage : Differences in Preference and Function Across Genders

How do people make use of emojis in their daily computer-mediated communication? In order to obtain data, a sampling methodology was implemented in which data from 15 female and 15 male participant ...
All guides: Library services for RMIT alumni: Free Online Resources

Use this guide to find out about library benefits and services for the RMIT alumni community; includes how to gain free access to selected online databases, print collections and audiovisual collections.
Mapping a Fuzzy Pattern onto a String

The problem of segmentation of a given string to match a fuzzy pattern is considered in this paper. The fuzzy pattern is defined as a sequence of fuzzy properties. It is assumed that each string can match a fuzzy property in some measure. Being increasing, decreasing, or oscillating are examples of fuzzy properties of a numerical sequence. The problem we consider is how to split the given string (sequence) into sufficiently long substrings (contiguous subsequences) to match the pattern as well as possible. This problem can be considered in the frame of the fuzzy clustering problem that has many applications in such areas as image processing, bioinformatics, etc. It can also be viewed as a special case of the fuzzy string matching problem. In this paper, we propose the optimal solution to the fuzzy segmentation problem and consider its application to the decomposition of a given function.