Reviewerly/exHarmony huggingface dataset:
New Criteria for Comparing Global Stochastic Derivative-Free Optimization Algorithms

For many situations, the function that best models a situation or data set can have a derivative that may be difficult or impossible to find, leading to difficulties in obtaining information about the optimal values of the function.Thus, numerical methods for finding these important values without the direct involvement of the derivative have been developed, making the representation and interpretation of the results for these algorithms of importance to the researchers using them.This is the motivation to use and compare between derivativefree optimization (DFO) algorithms.The comparison methods developed in this paper were tested using three global solvers: Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Simulated Annealing (SA) on a set of 26 n-dimensional test problems of varying convexity, continuity, differentiability, separability, and modality.Each solver was run 100 times per problem at 2, 20, 50 and 100 dimensions.The formulation for each algorithm used comes from the MATLAB Optimization Toolbox, unedited or revised.New criteria for comparing DFO solver performance are introduced in terms defined as Speed, Accuracy, and Efficiency, taken at different levels of precision and dimensionality.The numerical results for these benchmark problems are analyzed using these methods.
Analysis and Application of Mapreduce Architecture and Working Principle

The core function of Mapreduce is to integrate the business logic code written by the user and the default components into a complete distributed operation program and run concurrently on a hadoop cluster. MapReduce is a set of software framework, which includes two stages: Map and Reduce. It can be used to partition the massive data, decompose the task and aggregate the results, so as to complete the parallel processing of the massive data. MapReduce’s principle of work is actually the data - processing method. This article describes the analysis and application of MapReduce architecture and working principle in detail.
A novel method for user relationship measuring in social networks

Recommender systems are widely used to provide users with appropriate items and have emerged in response to the problem of information overload. The measuring method of user relationship in social networks is the core of personalised recommendation. To a certain extent, the measuring quality of users' relationship determines the accuracy of recommendation results. In this paper, we design a new measuring method of user relationship which considers direct and indirect relationships among users. The experimental results on two famous microblog data sets show that the presented algorithm is of high performance.
Basics of ICT in Teaching & Learning Process

ICT—Information and Communication Technology is an extensional term for Information Technology (IT) that stresses the role of unified communications and the integration of telecommunications (telephone lines and wireless signals) and computers, as well as necessary enterprise software, middleware, storage, and...ICT helps teacher to pass information to students within a very little time. ICT helps teacher to design educational environment. ICT helps teacher to identify creative child in educational institute. ICT helps teacher to motivate students and growing interest in learning. The paper envisages the maximum or at least optimum utility of ICT for the process of teaching and learning.
Expert System for Problem Solution in Quality Assurance System

To find a particular solution for a given problem or to answer any question we need to find a solution from the given set of solution by pair wise comparisons.A historical set of data help us to find different answers for the same question asked multiple times.In our proposed system there are two models one is "offline model" and another one is "online model".In offline learning component we establish training samples with the help of data driven observations.In online search component a pool of candidate answer is collected for a given question by finding similar types of questions.With the help of offline trained model candidate answer are sorted in preference order.A comparative demonstration of the experiments on the real-world community-based question answering is shown.
Design and Development of C++ Quiz System for Android-based Platform

C++ is considered as one of the most popular prog- ramming languages and rated as the third most popular language next to java. So far, most computer games, applications such as MS office suite, Adobe system, Google applications, Mozilla Firefox, thunderbird, Sybase, Oracle, and MySQL etc. are written in C++. However, some graduate’s ability in C++ programming is poor and inefficient to meet the requirements in programming for software service outsourcing talents. To this end, an Android-based C++ quiz system is designed and developed with Android studio to check students’ mastery degree of C++ programming and helps to improve their C++ programming ability. The C++ quiz system can randomly generate a testing paper, which is composed of choice, fill in the blanks, true or false, and fill in the programming, by choosing different types of questions from the question pool. Testing results which are obtained from both Android virtual device emulator and a physical device show that the C++ quiz system is suitable for evaluating and strengthening the students’ mastery of C++ programming.
Compact snapshot freefrom null testing with adaptive optics (Conference Presentation)

We present a snapshot, adaptive null interferometric system for measuring freeform surfaces using deformable mirror as the null corrector to increase the measurement range. To compensate the wavefront for different surfaces, a computer controlled deformable mirror is used as an adaptive wavefront corrector. A deformable mirror control algorithm based on stochastic parallel gradient descent algorithm has been developed to drive the deformable mirror to null the interference fringe. Snapshot phase measurement is proposed in the optimization progress to increase the iterative speed. The surface shape of the deformable mirror is measured by a deflectometry system to calculate the shape of the surface under test.
DOES THE USE OF GUIDED QUESTIONS IN TUTORIAL SYSTEM IMPROVES STUDENTS� SPEAKING ABILITY?

This research aimed to find out whether or not the use of guided questions in Tutorial System improved the students� speaking ability of Easy Speak. Easy Speak was an English course situated in Makassar. The method of this research was pre-experimental. In collecting data, the researcher used speaking test in pre-test and post-test. The population of the research was 737 students. In this research, the researcher used purposive sampling technique which consisted of 25 students. The results of this research showed that the mean score of pre-test were 62,17 and 75,15 in post-test and the value of t-test was 7,23 which is greater than t-table 2.05 at the level of significance (a) = 0.05, so the null hypotheses was rejected, and alternative hypotheses (H1) was accepted. The researcher concluded that there was significant difference of the students� speaking ability of Easy Speak after giving treatment using guided questions.
Pattern of hematological malignancy in a tertiary level hospital in Kathmandu

Background: Hematological malignancies involve the blood elements, marrow, lymph and lymphatic elements and are among the common malignancies afflicting the human race. They tend to involve the extremes of the ages- the young and the elderly.&#x0D; Materials and Methods: A hospital register based retrospective study was conducted including the data of five years duration. The confirmation of diagnosis was done with blood smear examination, bone marrow examination and flow-cytometry. The epidemiological parameters were then calculated using Microsoft Excel and SPSS.&#x0D; Results: Among the total number of cases, 60.7% were males and 39.3% were females. Age group of 50 to 59 years was most commonly involved. Lymphoma (including Hodgkin’s and non-Hodgkin’s) was the most common hematological malignancy.&#x0D; Conclusions: Males are more afflicted by hematological malignancies and lymphoma was the commonest hematological malignancy.
Mapping Of Provincial Food Security In Indonesia Using Based Clustering Model

Indonesia was known as an agrarian and maritime country, should not experience difficulties in fulfill food needs or having high food security. However, it is a formidable challenge for the Indonesia to meeting food needs. The low level of food security was caused more by Indonesia's geographical conditions in the form of islands that cause inequality of food production, distribution and absorption among provinces in Indonesia. To reduce the occurrence of food security inequality between provinces in Indonesia, clusters was formed based on food security indicators. Based clustering technique is chosen to overcome the problem of overlapping and the limited availability problem in food security data. The results of research produce 3 clusters based on the classification of food security levels. Based on Bayesian Information Criterion, the most fitted cluster model is a three-cluster model with diagonal distributions. The first cluster consisted of 19 provinces with a classification of middle food security levels, the second cluster consisted of 10 provinces with the classification of the level of high food security, and the third cluster consisted of 5 provinces with a classification of low food security levels. It is expected that the results of this clustering can provide input to the Indonesian government to focus more on 5 Provinces with low food security classification, which focuses on access to food.
Automatic Detection of Illuminated Charters

Open AccessAutomatic Detection of Illuminated ChartersVincent ChristleinVincent ChristleinSearch for more papers by this authorhttps://doi.org/10.7788/9783412512385.45SectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack Citations ShareShare onFacebookTwitterLinkedInRedditEmail AboutAbstract: This paper focuses on automatic document classification. Documents are assigned to different levels based on the degree of illumination. A method originally proposed for writer identification is adapted for and evaluated in a dataset containing illuminated charters. First results show that the classification of charters in “pure text” versus “contains some form of decoration/illumination” is successful in 83.7% of the cases, which might be enough for a rough pre-selection of illuminated charters. A more refined classification into three subcategories of illuminated charters gives an average accuracy of 76.5%. A detailed inspection reveals that one category in particular, referring to “unusually rich decoration”, is difficult for an automatic system to classify. Previous chapter Next chapter FiguresReferencesRelatedDetails Download book coverBeihefte zum Archiv für Diplomatik, Schriftgeschichte, Siegel- und WappenkundeVolume 16 1. AuflageISBN: 978-3-412-51108-1 eISBN: 978-3-412-51238-5HistoryPublished online:January 2019 Information© 2019 by Böhlau VerlagDieses Material steht unter der Creative-Commons-Lizenz Namensnennung 4.0 International. Um eine Kopie dieser Lizenz zu sehen, besuchen Sie http://creativecommons.org/licenses/by/4.0/.PDF download
Fluctuation Analysis to Sequence of Ore-forming Element Based on Fractal-Jump Model

The self-similarity of ore-forming elements is caused by long-term, multi-period characteristics and the abnormal fluctuation induced by emergency in geological process.In this study, the fractal jump model referred as a combination of fractional Brownian motion and Poisson distributed jumps was built to depict the fluctuation pattern of ore-forming elements and simulate the distribution of Au sequence for three different mineralization intensities in Dayingezhuang gold deposit in the Jiaodong gold province, China.By calculating the fitting error and drawing the comparison diagram between the simulated data and the actual data, the applicability and advantages of the model were verified.The results showed that the fractal jump model can be considered as a reliable and computationally efficient method through the comparison of the statistical characteristics between simulated and real data.In addition, this model can well depict the change of the Au element content sequence, and better simulation was achieved when the intensity of mineralization was higher.The present work provides a new insight on the prediction of mineralized levels in concealed orebody.
A Survey on Various Features and Techniques of Text Content Classification

Traditional information retrieval methods become inadequate for increasing vast amount of data.Without knowing what could be in the documents; it is difficult to formulate effective queries for analyzing and extracting useful information from the data.This survey focused on some of the present strategies used for filtering documents.Starting with different types of text features this paper has discussed about recent developments in the field of classification of text documents.This paper gives a concise study of methods proposed by different researchers.Here various preprocessing steps were also discussed with a comprehensive and comparative understanding of existing literature.
Research on the Protection of Derivative Works from the Perspective of China

The current derivative work system in China has problems such as the malfunction in adjustment objects and the imbalance of interests in exercising rules. In order to overcome the above drawbacks, some scholars have proposed such theories as the theory of infringing works, copyright negative protection mode, copyright blockade protection mode and unjust enrichment protection mode. Although such theories have some saving grace, defects still exist. The introduction of accession protection mode is the best solution for the current derivative work system to march towards the reform of interests equalization, which allows the right holder to agree on the attribution of the derivative work, allows the party who has made the larger contribution to obtain the copyright of derivative work under the circumstance that no agreement is made or the agreement is inexplicit, and makes up for the corresponding input and income of the other party.
An Empirical Study of Public Investors’ Financial Information Seeking Behavior in the Stock Market

Information disclosed by listed companies such as financial statement is an important reference source for public investors to know the performance, prospect, investment value of the listed companies and make investment decisions. This paper empirically investigated the influence of years of entry and financial knowledge level on public investors’ information seeking behavior. The results showed that the longer the investors enter the market and being more familiar with financial knowledge, the more likely their searches focus on the information of financial indexes such as listed companies ’s earnings per share, price earnings ratio and return on assets before investment decision making. It also studied the relationship between the use frequency of information source and trust in the source. It is found that the higher degree of investors’ trust in information source, the more frequently they use the source.
A HMD with automatic control of interocular distance

A design concept of a goggle type HMD (Head Mount Display) which is capable of controlling automatically user’s interocular distance is introduced. A linear motor is hired for each of the left and right pupillary distance control based on the measurement of the interocular distance with a micro-camera located at the top of the microprojector for each eye. A half mirror for each eye is used to connect the projector/camera to a corresponding eye. Each camera measures its corresponding eye’s pupil with a high accuracy under the illumination of infrared light located at near the camera. The distance range of the controlling is 55 mm to 75 mm. The maximum travelling distance of each linear motor with the four optical components is 10 mm.
Enabling Real-time Neural

Jiali Yao, Raphael Shu, Xinjian Li, Katsutoshi Ohtsuki, Hideki Nakayama. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Industry Papers). 2019.
Real-time Visual Landmark Recognition in Multi-view Image Collections

Research and advancement in the Convolution Neural Network have been capable of solving many computer vision problems with higher accuracy than humans at some time.This paper, presents CNN along with its various layers for easy understanding.CNN algorithm has been used here for the landmark recognition problem.In the 3D Visual Phrasing method, SfM has been used to reconstruct a 2D image of a landmark to its 3D image for better classification.To solve the problem of landmark recognition, various approaches have been put forward.Each approach mentioned in the paper is an enhancement of the previously mentioned approach to obtain greater accuracy in landmark recognition.
Kecenderungan topik penelitian di bidang ilmu perpustakaan dan informasi dengan pendekatan kaidah zipf

Introduction. This research aims to obtain the mapping of research in the field of Library and Information in Berkala Ilmu Perpustakaan dan Informasi(BIP) published by Universitas Gadjah Mada. The Research Method.This was abibliometric analysis using Zipf (frequency spread of word) with research samples of 20 jurnal articles published by BIP in 2017.Data Collection Method. Every article was examined by the highest word frequencyresulting keywords and subjects for each article. Further analysis was conducted to classify subject grouping based on Hawkins theory.Results and Discussions. The results indicated that research topics in Berkala Ilmu Perpustakaan dan Informasi UGM in 2017 were classified into two categories: (1) There were, 16 articlesrelated to the topic “Librarians”, (2) There were 4 articles related to the topic“Information Science”. The result is the tendency of research topics in the field of the IPI entered into a group of librarianship.Conclusion. The research topics in the field of Library and Information Science is more likely to enter the librarianship group. Future advice is that researchers are expected to develop research by raising other topics.
Overview of Visual Secret Sharing Schemes for QR Code Message

The Quick Response (QR) code was designed for storing information and high-speed reading applications.With the wide application of QR code, the security problem of a QR code is severe, such as information leakage and data tampering.The QR code contains a secret message.To solve the QR information security problem, this paper proposed visual secret sharing schemes for QR code message.Invisible secret sharing scheme the QR code message is divided into several parts called shares, which separately reveals no knowledge about the QR code message.By stacking two or more shares one another, QR code message can be revealed and visually recognized.It improves the security of the data transmission and also improves the clarity of a secret image.
PENGEMBANGAN BAHAN AJAR BERUPA MODUL BASICS ENGLISH GRAMMAR UNTUK MAHASISWA TADRIS BAHASA INGGRIS FITK IAIN SULTAN AMAI GORONTALO

The purpose of this study was designed to: (1) develop teaching and learning materials in the form of a Basics English Grammar module for students of the English Department, Faculty of Teacher Training IAIN Sultan Amai Gorontalo; (2) find out the feasibility of teaching and learning materials in the form of a Basics English Grammar module for students of the English Department, Faculty of Teacher Training IAIN Sultan Amai Gorontalo.&#x0D; This study is research and development in nature. The research design used refers to the four-D (4D) models of development with four main stages namely, (1) Define; (2) Design; (3) Develop; (4) Disseminate. Data collection techniques in this study were using questionnaires and FGD.&#x0D; The results of this study are: (1) Development of Basic English Grammar Module Teaching Materials in accordance with the four-D model development model. In the fisrt step of the model Define, the results show that students need teaching materials that can improve student competence, as well as help independent learning. Design, the results of teaching materials that are suitable for students' needs are in the form of Basic English Grammar modules. Develop, carried out validation by experts, revised according to expert advice, and trial development in the 3rd semester of English Education Department. Disseminate, the module is disseminated to English Education students (2) Feasibility of Module-Based Teaching Materials based on assessment: material experts obtained a mean score of 3.93 (feasible), media experts obtained a mean score of 4.02 (appropriate), and learning practitioners / lecturers the average Grammar subject is 4.03 (feasible); (3) Student's assessment of Teaching Materials in the Form of Basic English Grammar Modules obtained a mean score of 4.33 (very feasible).
Credit Scoring Kelayakan Debitur Menggunakan Metode Hybrid ANN Backpropagation dan TOPSIS

Credit is one of the common practices that provide benefits for financial or non-financial institutions. However on the other hand, aid loans also have higher risks if the institutions give the wrong decision in giving a loan. Credit Scoring is one of techniques that can determine whether it is feasible to given a loan or not. The selection of a credit scoring model greatly determines the value in classifying credit that is feasible or not to giving a loan. Decision Support System (DSS) is one system that can be used to overcome this problem. The advantages of DSS are being able to overcome the problems that have semi-structured and unstructured data. In this study, DSS was supported by using Artificial Neural Network Backpropagation method and TOPSIS method to find the priority for seeking eligibility. Accuracy results obtained in this study reached 98,69% with the number of iteration is 300, the number of training data is 30, neuron hidden 12 and error tolerance is 0.001. TOPSIS method succeeded in ranking 185 data selected as recipients of credit.&#x0D; Keywords:Credit Scoring, Decision Support System (DSS), Artificial Neural Network (ANN), Backpropagation, TOPSIS.