Reviewerly/exHarmony huggingface dataset:
Backpropagation and Self-Organizing Map Neural Network Methods for Identifying Types of Eggplant Fruit

Identification of the image of eggplant fruit is a process aimed at obtaining objects contained in the image of eggplant fruit or dividing the image of eggplant fruit into several regions with each object or region that has similar aribut, such as shape, color, and size. The formulation of the problem in this study is how to get the objects contained in eggplant fruit and how to calculate the accuracy of the results of training on Backpropagation artificial neural networks and Self-Organizing Map (SOM) from an image of eggplants in all directions. The purpose of this study is to compare the accuracy of the process of identifying eggplant fruit types with the process of training Backpropagation and Self-Organizing Map (SOM) artificial neural networks based on size using the MATLAB application. After testing with the backpropagation method one eggplant image class can be classified with one eggplant, so the accuracy produced by the backpropagation network in the testing process is 18.18% and with the Self-Organizing Map (SOM) method, so the accuracy is generated by the network SOM in the testing process is 23.18%.
The Effect of Ryunosuke Akutagawa Schizofrenia on the Behavior of Boku in the Short Story Entitled “Haguruma”

This paper examines how the schizofrenia suffered by Akutagawa Ryunosuke affected Boku character’s behaviour  in  his  short  story  tittled  Haguruma.  Gabbard  (1994)  argued  that  schizofrenia  is  serious mental  disorder  which  may  result  in  some  combination  of  hallucinations,  delusions,  and  extremly disordered  thinking  and  behaviour.  The  main  character  of  this  short  story  (Boku)  often  experienced hallucinations and dellusions in his daily lives. Boku’s character analyzed using Freud’s psychology approach. The research used a descriptive-qualitative approach. Result of this study was able to get understanding of the factors behind schizofrenia suffered by Akutagawa and how schizofrenia affects Boku character.    Keywords: Literature Psychology, Akutagawa Ryunosuke, Haguruma, Schizofrenia
Simulation Based Evaluation and Tuning of Distributed Fraud Detection Algorithm

A community based fraud detection is one of the methods to ensure trustworthiness of Internet resources. The TrustSearch platform has been developed to provide community based fraud detection services. It allows Internet user to submit application reporting potential fraudulent Internet resources and relies on a consensus seeking algorithm to approve or reject the application. The system exhibits complex and dynamic behavior, and simulation is used to evaluate its performance and to determine appropriate operational parameters. The objective is to find an appropriate trade-off between evaluation accuracy and efficiency what is a characteristic challenge in distributed decision-making systems. An agent-oriented simulation model is developed and experimental studies are conducted. It has been shown that sufficiently high evaluation accuracy can be achieved and the results are remarkably robust. However, a relatively large number of participants is required. The community based platform uses blockchain technologies to reward participants for their contributions.
النفاذ الحر للمحتوى التعليمي ببرامج الجامعة العربية المفتوحة في ضوء اتجاهات الطلبة والتقنيات الحديثة والتوجيهان العالميةThe open-access for the education contents at Arab open university according to student orientation modern technologies and the international attitudes.

This quantitative study aims to identify the open access and feasibility of methods for the education contents at Arab Open University, under the level of trends of methods at Arab Open University. The study sample of consisted of 30 students from the fourth Master Program batch. The study utilized two measurements for data collection. The study found that the digital repositories, directory of open access and electronic books are considered the usable resources for student. While the open access is the lowest source that student use. Moreover, the study found the legal and technical obstacles are one of the most obstacles are one of the most that face open access at Arab Open University. However, technological and moral obstacles that face open access in Arab Open University. Finally, researcher suggested the number of recommendation and proposals that support open access at the university.
A Hybrid Approach for Software Development Effort Estimation using Neural networks, Genetic Algorithm, Multiple Linear Regression and Imperialist Competitive Algorithm

Nowadays, effort estimation in software development is of great value and significance in project management. Accurate and appropriate cost estimation not only helps customers trust to invest but also has a significant role in logical decision making during project management. Different models of cost estimation are presented and employed to the date, but the models are application specific. In this paper, a three-phase hybrid approach is proposed to overcome the problem. In the first phase, features are selected using a combination of genetic algorithm and the perceptron neural network. In the second phase, impact factors are associated to each selected feature using multiple linear regression methods which act as coefficients of influence for each feature. In the last and the third phase, the feature weights are optimized by Imperialist Competitive Algorithm. To compare the proposed model for effort estimation with state-of-the-art models, three datasets are chosen as benchmark, namely COCOMO, Maxwell and Albrecht. The datasets are standard and publicly available for assessment. The experiments show promising results and average performance is improved by the proposed model for MMRE performance criterion on the datasets by 23%, 38% and 35%, respectively.
Joseph R. Skeen Library & OSL: MENG 341 (Ford): Home

Research guide with information and tips supporting the coursework in Julie Ford's MENG 341 class Basic information about course guide, including librarian's contact info
Artificial Intelligence and Machine Learning

Artificial intelligence and machine learning have always been hot topics in news and science fiction. Recently they got more media attention because of technology breakthroughs in deep learning and more consumer-facing applications on the market. The terms machine learning and artificial intelligence are sometimes used interchangeably, but there is a subtle difference. Artificial intelligence focuses on “intelligence”. An AI system tries to behave as if it possesses human intelligence, no matter what the underlying method or algorithm is. But in machine learning, the focus is on “learning,” where the system is trying to learn something from the data without a human explicitly programming the knowledge. For example, one of the early successes in AI was the expert system. In an expert system, the knowledge of a particular field is written down as rules and programmed directly into the code, so the system can answer questions or perform tasks as if it were a domain expert. This kind of system might appear to have some level of human intelligence, but underneath it’s not actually “learning” from data. So this system can be called an AI system but not a machine learning system.
EXPLORING THE PROBLEMS FACED BY NON-ENGLISH LECTURERS OF UNIVERSITAS RIAU KEPULAUAN ON USING MACHINE TRANSLATION ON ACADEMIC PURPOSE

The aim of this study is to measure the difficulties faced by Non- English lecturers of universitas riau kepulauan on using machine translation on writing article. It is a qualitative research by using descriptive analysis. Questionnaire was used to collect data; the questionnaire was shared to all lecturers of Riau Kepulauan University, as the respondents. Based on the questionnaires, it was found that there are some difficulties such as idiom, not accordance with the principle of translation and sometimes the word cannot be found on the google translation
Students’ Obstacles on Autonomous English Learning

This study attempts to give teachers a perspective regarding what problems students face during the process of learning English material by employing the Autonomous Learning. The researcher used Pragmatics as the subject of learning to observe the process of Autonomous Learning during one semester. This is a descriptive qualitative research in which 7 students of English Education of PGRI University were employed as the subjects of this study. Those students are the most active ones in class. After they conducted a series of learning process autonomously, they were expected to fill the questionnaire as the data source to reveal the basic need of the students that they are expecting from the teachers. Then the data would be explained descriptively. It is expected that the teachers are going to have some new perspectives regarding the autonomous learning, which is related to the students’ problems. What they want the teachers to do and what the teachers should provide are two fundamental considerations. This study reveals that the autonomous learning does not mean that the students learn the material fully autonomously. Bigger than that, the students still need the presence of the teachers as the agent of autonomous learning.
Implementing vlog for innovation ELT practices

This study deals with teaching speaking by using Vlog for innovation ELT Practices in Students of Excellent School of Amanatul Ummah. As one of the communicative skills, speaking should be achieved by the student to be able communicate orally with the world society. Unfortunately, some students have difficulties in the oral production. Sometimes, they feel nervous and lack of self-confidence. Therefore, implementing vlog for innovation ELT practices of students in eight grade are expected to increase students ‘self confidence in speaking about room at their house. The objective of this study are to find out how the teacher implement vlog and how the students’ speaking performance by using vlog in speaking descriptive text. The assessment of implementing vlog for innovation ELT Practices in Students of Excellent School of Amanatul Ummah was analyzed by using Nakamura’s scoring rubric which consists of organization, fluency, pronunciation, vocabulary and performance. The results of this research can be formulated as follows: 1) Students can speak based on rhetorical steps in their vlog. 2) Students’ performances are self-confident in their vlog. 3) Students’ fluency is less hesitant in their vlog. 4) Students’ vocabulary uses variety of words in their vlog
Smarta kontrakt i svensk avtalsrätt : Huruvida Smarta kontrakt och Blockkedjor är lämpliga Avtalsinstrument

The objective of this thesis paper is to investigate whether if smart contracts concluded on a blockchain are recognized as contracts under Swedish law. This is done by analyzing two fictional exam ...
Securing the Memory Hierarchy from Speculative Side-Channel Attack

Modern high-performance CPUs depend on speculative out-of-order execution in order to offer high performance while also remaining energy efficient. However, with the introduction of Meltdown and Sp ...
Keyless, Robust and Cost-Effective Privacy Protection Algorithm for Videos Using Steganography

In this paper, a novel reversible keyless steganography algorithm for video piracy protection which uses randomized pixel for hiding authentic information is proposed. Randomization at two different levels is considered which is not in any of the existing algorithms. It increases the security with low cost. This proposed approach enhances the randomization of the specific pixels where authentication information will be stored in a frame and the location of such modified pixels is stored in an immediate next frame. Each pair is identified with an embedded random number. Modified least significant bit (mLSB) is used to insert the authentication information bits which is cost effective due to simplicity and can withstand statistical attacks. During extraction, frame with pixel locations is used. The extracted information will be compared. Different quality metrics values proved that it can withstand visual attacks, whereas StirMark test proved its high robustness.
Integration of ICT into the higher education process: The case of Colombia

This paper has as its aim to establish a pedagogical strategy aimed at supporting the integration of ICTs (Information and Communication Technologies) into the higher education process. A survey was carried out aiming focus on the analysis of teachers’ practices so that competences in ICT use at university education in Colombia could be enlarged. 81 universities answered the survey questionnaire: 51 private and 30 public, and a total of 423 lecturers from different academic disciplines. Our findings show the degree of attention paid by teachers to strengthening ICT skills in their training tasks. This research is complemented with Strengths, Weaknesses, Opportunities, and Threats (SWOT) analysis performed with 50 professionals experienced in ICT use in higher education.
Teaching the Reading Life: Making the Invisible Visible.

This article details the author's experiences in making their own reading life visible to their early elementary age students. It details experiences and challenges the author had as they sought to make their own reading life visible. For each experience or challenge, a strategies is offered based to support other teachers in doing the same. Strategies include how to share your reading identity, how to model reading for pleasure, sharing your reading list, and sharing the social side of reading.
Towards high-performance quantum key distribution with implementation security

In theory, quantum key distribution (QKD) offers information-theoretic secure communications. In practice, however, it does not because most security proofs of QKD use assumptions that are not satisfied by the implementations, and thus their security is seriously threatened by quantum hacking. This includes, for instance, the assumption that the legitimate users of the system have a precise mathematical model to describe the behaviour of their apparatuses, that the systems are located in perfectly shielded labs which prevent any unwanted information to be leaked to the eavesdropper, and that all quantum devices and classical post-processing units are honest and follow the prescriptions of the protocol. Here, we review recent results that significantly relax these unrealistic and hardly feasible requirements, and pave the way towards achieving practical QKD with implementation security and enhanced performance.
Towards Machine-Assisted Reformulation for MiniZinc

Model reformulation plays an important role in improving models, reducing search space so that solutions can be found faster. Hence we categorise model reformulation into three types: a model is re ...
Prediction of PV Output Transition by Means of Estimated Confidence Interval

In our previous study, we carried out confidence interval estimation of next‐day photovoltaic (PV) output with just‐in‐time modeling hour by hour. When the target reliability is high in particular, the width of the confidence interval becomes large certainly. Therefore, in this paper, based on behavior of the measured PV output in the morning of the targeted day, we predict of PV output transition in the estimated confidence interval in the afternoon. The proposed method, which is consistently based on black box modeling, enables us to easily and effectively narrow the confidence interval width, i.e., sharpness, of PV output. Some numerical examples, which demonstrate the effectiveness of the proposed method, are also reported. © 2020 Institute of Electrical Engineers of Japan. Published by John Wiley &amp; Sons, Inc.
Web Usage Mining Algorithm for an Academic Search Application

Web Usage Mining implies survey of information related to web log file. It can discover the browsing patterns and used for modeling the navigation behavior of web users. Analysis of log file gives an indication of the users' preferences. The data present in the log file cannot be used as it is, for the mining process. The contents of the log file should be preprocessed and put in a structured format. This paper focuses on design and execution of an algorithm for analyzing the Web Usage Log more specifically for an academic search application. It accepts the web log file and user queries as input and generates output containing the web log details as well as summary data. Descriptive Data Mining is considered for analyzing the web log file. The interestingness measures t-weight and d-weight, are computed. The model discussed in this paper will help significantly in improving user navigation, web design and usage patterns.
The Chinese mime game in teaching vocabulary on EFL classroom

The objective of this research was to find out whether or not using Chinese mime game can develop the student vocabulary mastery. This research was designed by using the pre-experimental method. The population of the researcher was of MTs As’adiyah No 5 Ongkoe wajo and took the sample by using cluster sampling which the Seventh Grade of MTs As’adiyah No 5 Ongkoe Wajo. The data were collected using vocabulary tests applied in pre-test and post-test. The result of the data analysis showed that the mean score in pre-test 59.4 was lower than the mean score in post-test 85.2. T-table value with degree of freedom (df)= N-1=19-1=18 and the students for significant level 0.05 = 2.101. T-test value (25.45) was higher than the t-table value (2.101). It means that alternative hypothesis (H1) was accepted and the null hypothesis (H0) was rejected. It can be concluded that using Chinese Mime Game can develop students’ vocabulary mastery of Seventh Grade of MTs As’adiyah 5 Ongkoe wajo
В поисках нестандартных решений (пример занятия эвристического типа с выполнением открытого задания)

The article deals with an example of a heuristic-type occupation with the performance of an open task in the subject «Business Etiquette».
Data discovery and the role of academic institutional data repositories

Slides presented by Lisa Johnston (University of Minnesota) at NIH hosted “Establishing a FAIR Biomedical Data Ecosystem: The Role of Generalist and Institutional Repositories to Enhance Data Discoverability and Reuse” February 11–12, 2020, Lister Hill Auditorium (Building 38A), located on the main NIH campus in Bethesda, MD.
Improving The Students’ Achievement In Writing Descriptive Text Through Place Mat Technique At Mts Al- Washliyah Senayan Kec. Sei Rampah

This study was conducted to improve the students’ achievement in writing descriptive text through Place Mat technique. The subjects of this study were 32 students and collaborator at the VII Grade of MTs Al-Washliyah Senayan Kec. Sei Rampah in the academic year 2018/2019. This researcher applied by using classroom action research. The technique of analyzing data of this study was applied by using Burns (assembling data, coding data, comparing data, building interpretation, reporting outcomes). The qualitative data were taken from interview, diary notes, observation sheet, and documentation. The quantitative data were taken from the test. The result of the analysis showed that mean of the pre -test was 62.37. Where, 7 students passed criteria score was only 21,88%, and 26 students failed criteria score was 78.12%,. The mean of cycle I was 71.15. Where 12 students passed criteria score was only 37.5%, and 20 students failed criteria score was 62.5%. The mean of the cycle II was 80.46. Where 28 students passed criteria score was 87.5%, and 4 students failed criteria score was only 12.5%. It indicated that the implementation of Place Mat technique can improve the students’ achievement in writing descriptive text. It’s strengthened by the result of observation showed that most of the students in teaching learning process were active and serious in joining the lesson. They are active in discussing and understanding of the text.
Research Guides: Library Workshop Descriptions: Using Open Science Framework to Manage Your Project

Information, materials, and schedules for all currently offered library workshops Workshops offered by UO Libraries on making Digital Projects
Ray W. Howard Library: Stable Links: Streaming Video

This guide will cover proxy prefixes and the use of building URLs that will work for both on campus and off campus users within the Shoreline Community College information systems. The information here reflects the changes being made to our certificates How to link to and embed streaming video in canvas and elsewhere online.
A Parallel Algorithm of Association Rules Applicable to Sales Data Analysis

Background: This paper puts forward a parallel algorithm of association rules applicable for sales data analysis based on association rules by utilizing the idea of division and designs a sales management system for mall including behavior recognition and data analysis function as the application model of this algorithm with clothing store data management system as study object. Objective: To adapt to the data particularity of the study object, while mining the association rules, the improved algorithm also considers the priority relations, weight, negative association rules, and other factors among different items of the database. Method: His improved algorithm is applied to Apriori algorithm, dividing the original database into n local data sets, mining the local data sets parallelly, finding out the local frequent data sets in each local data set, and finally counting the support and determine the final overall frequent sets. Result: Experiment verifies that this algorithm reduces the visit times of the database, shortens the mining time of algorithm, and improves the effectiveness and adaptability of the mining result. Conclusion: With the application with negative association rules added, data with diversified results can be mined during analyzing specific problems, mining efficiency is improved, the accuracy and adaptability of mining result is guaranteed, and the high efficiency of algorithm is also ensured. The improvement of increment mining efficiency of database will be considered next while the database is updated continuously.
Cannington Deposit 3D Deposit Atlas Dataset

This is 3D compilation of geoscience datasets for the area surrounding the Cannington Ag-Pb-Zn Deposit in the Cloncurry Region of NW Queensland. The data are compiled in Geoscience Analyst, a free program which can be obtained from the Mira Geoscience website
ISSUES AND CHALLENGES IN BLOCKCHAIN TECHNOLOGY

When the whitepaper Bitcoin was released by Satoshi Nakomoto in 2008 describing a purely peer-to-peer version of electronic cash known as Bitcoin, Blockchain technology made its public debut. Blockchain has since been considered an emerging technology for the sharing of decentralized and transactional data across a large network of untrusted participants. It allows new forms of distributed software architectures where it is possible to reach agreement on shared states without trusting a central point of integration. It allows the creation of a decentralized environment where no third party organization controls the transaction and data. Any transaction that has ever been completed will be recorded with a time stamp and other details in a public ledger in a verifiable, secure, transparent and permanent manner. For these features blockchain developed into one of today's largest groundbreaking technologies with potential to impact every industry from financial to manufacturing to educational institutions. Blockchain technology has already changed the lifestyle of people in some areas in recent years due to its great influence on many businesses or industries, and what it can do will continue to cause impact in many places. While Blockchain technology features may bring us more reliable and convenient services, the security issues and challenges behind this innovative technique are also an important topic that we need to be concerned about.