Reviewerly/exHarmony huggingface dataset:
Similar Image Retrieval Based on Grey-Level Co-Occurrence Matrix and Hu Invariants Moments Using Parallel Computing

In the previous years, several researchers have presented various techniques and also various algorithms for a correct and a dependable image retrieval system. This paper goal is to build up an image retrieval system that retrieves the most similar images to the query image. In this method, the Hu invariants moments and the grey-level Co-occurrence Matrix (GLCM) features extraction methods are performed. Furthermore, with the purpose of boosting up the system performance, multi-thread technique is applied. Later, Euclidian distance measure is performed to compute the resemblance between the query image features and the database stored features. And as shown from the results, the execution time has been minimized to 50% of the conventional time of applying both algorithms without multi-thread. The proposed system is evaluated according to the measures that are used in detection, description and matching fields which are precision, recall, accuracy, MSE and SSIM measures.
FIU Libraries: Library Grants Support: Welcome

A network and support structure for the FIU Libraries' grant proposal processes, including grant writing, funding agency communications, grant submission, post award grant management, grant closeout/reporting, and sustaining projects.
PENGARUH AUDIT OPERASIONAL, SISTEM INFORMASI AKUNTANSI DAN KOMPENSASI TERHADAP KINERJA KARYAWAN PADA PT DAMAI SEJAHTERA TIRTA JAYA LAMONGAN

Employees in a company act as the main driver for the smooth operation of company operations. Optimal employee management needs to be done in order to create good employee performance. This study aims to examine and analyze the effect of operational audits, accounting information systems and compensation on employee performance. This research was conducted PT. Damai Sejahtera Tirta Jaya Lamongan. The research sample is all employees of the finance department, general & staffing deparment, and the service section of 50 employees. The research technique uses a total sampling technique, namely all employees of the engine maintenance, marketing and transportation departments. This type of research is quantitative research. The data is processed statistically with SPSS for Windows version 24.0. The results of simultaneous or simultaneous operational audit, accounting information systems and compensation have a positive and significant effect on employee performance at PT. Damai Sejahtera Tirta Jaya Lamongan. Partially, each operational audit variable, accounting information system and compensation has a positive and significant effect on employee performance. The result of the study have implications that operational audit, accounting information systems and compensation for their existence are very important in improving employee performance
LibGuides: Music Studio Specific Resources: Home

These resources are highlights from our collection and are all available right now at CWU Brooks Library! Arranged by studio.
Energy-Efficient System-Based Algorithm for Maximal Resource Utilization in Cloud Computing

The greatest environmental challenge of today is global warming which is rapidly increasing day-by-day, which is primarily caused by carbon emissions. Cloud computing is the on-demand availability of computer system resources, especially data storage and computing power, without direct active management by the users. Due to the high demand for cloud computing applications, a very large amount of resources are used to fulfill the cloud computing customers requirements. Most cloud computing providers schedule cloud computing resources to execute customer jobs as soon as possible without taking care of energy wastage due to less utilization of mostly resources that become one of the major sources of carbon emission. Thus, it is necessary to schedule the cloud computing resource such that it utilized fully without overloaded and with taking care of customer response time. In this paper, an energy-efficient system-based algorithm for maximal resource utilization in cloud computing has been proposed to reduce the energy consumption by maximal resource utilization. Simulation results show that the proposed algorithm reduced energy consumption up to 20% as compared to existing algorithms.
LibGuides: ESB SLS Tips and Tricks: Nifty Tricks

Tips and tricks on a variety of resources found on the Virtual Reference Collection and the Digital Media Library
LangResearchLab_NC at FinCausal 2020, Task 1: A Knowledge Induced Neural Net for Causality Detection

Identifying causal relationships in a text is essential for achieving comprehensive natural language understanding. The present work proposes a combination of features derived from pre-trained BERT with linguistic features for training a supervised classifier for the task of Causality Detection. The Linguistic features help to inject knowledge about the semantic and syntactic structure of the input sentences. Experiments on the FinCausal Shared Task1 datasets indicate that the combination of Linguistic features with BERT improves overall performance for causality detection. The proposed system achieves a weighted average F1 score of 0.952 on the post-evaluation dataset.
Comprehensive Analysis on Lightweight Cryptographic Algorithms for Low Resource Devices

Lightweight cryptography is a prominent research area in network security. It provides high security and is ideal for resource constrained based smart devices in smart environment. Smart gadgets such as RFID, Sensor Networks, and embedded systems form the smart environment and it helps in sharing information among objects at anytime, anywhere. Contribution of lightweight security algorithms and schemes in smart objects are great due to their properties such as computational power, memory size, etc. This paper presents the merits and demerits of lightweight ciphers. This paper also presents complete information about existing lightweight cryptography algorithms and the structure of lightweight cryptography.Keywords: Lightweight cryptography, Block cipher, RFID, Sensor Networks, Smart System
TECHNOLOGY FOR DESIGNING AN INDIVIDUAL EDUCATIONAL TRAJECTORY OF UNIVERSITY STUDENTS

Lifelong education, aimed at personal and professional development, change of occupation, and mastery of broad-profile qualification in accordance with the supply and demand for highly qualified personnel, is crucial. The continuity of education has to ensure the possibility of a person’s multidimensional progression of a person in the educational space and create optimal conditions for such progression. The continuous education system is currently one of the priorities in the state development policy in Russia. The essence of choosing an individual educational trajectory lies in the student’s decision, which is based on the individual system of values and personal meanings, the general orientation in the spheres of education and labor, highlighting important short- and longterm perspectives as stages and ways of achieving the goal, and the knowledge of one’s own advantages, disadvantages, and unique personal features. The choice of individual educational trajectory is implemented in a subject field that contains a variety of deepened and enriched educational content, types and forms of subject-related material, rational methods of educational activity, forms of control of educational results and individual work, and levels and ways of obtaining an education.
Research on the Status Quo and Countermeasures of Pre-school Education and College Graduates' Adaptation to Employment-- Taking Graduates from Hulunbuir in Recent Three Years as the Object

In today's society, under the environment of continuous innovation of education in the world, preschool education and orientation of new teachers have received unprecedented attention. This article investigates the factors of professional adaptation, environmental adaptation, and psychological adaptation of undergraduate and pre-school graduates in the Hulunbuir area in the past three years, and combines the experience and results of relevant academic theories at home and abroad to explore how to effectively promote the adaptation of new teachers on the job.
Teacher's techniques in Teaching English Using Discovery Learning Model at SMKS Bina Banua Banjarmasin

This research aims to describe the use of Discovery Learning Model and find out students’ responses toward Discovery Learning Model which is in SMK Bina Banua in this case researcher used descriptive qualitative techniques namely describe the data in the form of sentences or descriptions to make it clear. Subject of this research are teacher and students. Data collection that used in this research is observation, questionnaire, interview, and documentation. The result from this research is the first step of the teacher doing the activity begins with asking students to be motivated or curious about the material provided. then the teacher gives the opportunity for students to find out or identify problems related to the material. And the teacher asks students to look for information or possibilities so students can solve the problem. At the core of learning, the teacher asks students to do something according to instructions, so students become more active in learning. In the final stage, the teacher and students draw conclusions together. However, students’ responses in using Discovery Learning Model are they liked the use of Discovery Learning Model in learning English and students easy to understand the learning material but most of them disliked if the difficult task with Discovery learning was able to make them be skillful but they were able to be easier if they made hypothesis first before they learnt, and also there is no difficulties when the teacher asked to do something in learning process, however they felt difficulty when given the task that the material didn’t teach yet by the teacher nor appropriate wuth the explanation and the example.
Reflection on the Application of Ethnic Piano Music in Piano Teaching in Colleges and Universities

This paper analyzes the current situation and problems in the teaching of national piano music in the professional piano teaching of Chinese colleges and universities, and expounds the significance of national piano music in the teaching of piano major in colleges and universities.Aiming at strengthening the application of national piano music in piano teaching, the authors put forward suggestions from the perspectives such as curriculum setting, teaching reform, improving the teaching system, the construction of the teaching team, etc.
THE USE OF LYRICS TRAINING TO IMPROVE STUDENTS’ LISTENING FOR DETAILS IN SMA NEGERI 8 YOGYAKARTA

Lyrics Training is one of the most recent educational technologies in the form of online music video that is useful to stimulate in learning language among students. The students are also expected to improve their listening for details through music video in Lyrics Training. The researchers aim to analyze the use of Lyrics Training in order to improve students’ listening for details. Therefore, this study uses Classroom Action Research method by Burns (2010). There were four stages in each cycle, namely planning, acting, observing, and reflecting. There were three research instruments, namely observation checklist, tests, and interview. Lyrics Training was implemented as listening for details activities for each cycle. Furthermore, there was significant improvement from the result of the pre-test and post-test cycle. The mean score of the pre-test was 63.91 while the mean score of the post-test was 94.75. The p value of the significance test was p<0.05. Moreover, the result of the interviews showed that Lyrics Training could improve students’ listening for details and could motivate the students. Since Lyrics Training is an interesting and attractive application, it can be an effective media to teach English especially listening for details.
LibGuides: Academic Staff Induction: Teaching Support

A guide for all new staff who teach Resources to support you with your learning and teaching and using technology.
ELECTRONIC LEARNING MATERIALS OR TRADITIONAL- WHICH IS PREFERABLE?

We live in a world of modern technology.Information technologies surround us at every step, helping us, making our life easier, and providing many benefits.This modern lifestyle is also changing the way we perceive information technology.Few people today can imagine working and learning in everyday life without a computer, laptop, smartphone, or Internet access.The use of electronic teaching aids is a new, modern approach to education.Previously, the use of e-learning materials was the prerogative of distance learning.The main reason for this was a very limited possibility of personal contact between teachers and students.The issue has become even more urgent ,given the epidemiological situation around the world.In connection with the massive spread of the new coronavirus infection, students and schoolchildren all over the world were forced to switch to electronic educational resources to continue their studies.In connection with the introduction of similar approaches as in universities and schools, it is very important to prepare future teachers for the correct use of these technologies.biology and chemistry, Russian language and literature, Chuvash language and literature, German language and literature, and English language and literature.Next, we divided students in accordance with the kinship of areas into 4 groups: a) mathematics + technical and information education, b) training of primary school teachers, c) philology d) social sciences.We used our own questionnaire as a research method.The following methods were used to process the data: analysis of variance, correlation, and Chi-square tests.The study showed that freshmen of the Chuvash State Pedagogical University mainly use ready-made methodological developments, the Internet, their own notes, and books as sources of information for their studies.50% of students are familiar with the concept of e-learning materials, and 32.14% of students became familiar with them in high school or university.The difference between these two data is due to the fact that the concept of e-learning materials was unknown to some students, but when filling out the questionnaire, they found that they used this type of materials during their studies.Average student satisfaction with e-learning materials and traditional printed learning materials is almost the same.In addition, it turned out that 65% of students prefer to study using traditional printed materials.It was determined that students studying mathematics and information technology, more than other students, either prefer to learn through e-learning materials or do not prefer one particular type.The most common form of elearning materials that students have encountered is the LMS.The respondents see the advantages of elearning materials as being accessibility, clarity, quick access to information, low cost, paper savings (resulting in environmental protection), and interactivity.Although students stated that they prefer to use traditional printed teaching materials, 83% of respondents would like to continue using e-learning materials during their studies.
한국어 학습자 오류 원인에 대한 학습자의 인식 조사 연구 - 중국어권 학습자의 조사 오류를 중심으로 -

The study explored what Korean learners perceive as the causes of their errors and how the perception of the causes of errors depends on their academic background and Korean language proficiency. Because research on the causes of errors in Chinese learners has differed according to researchers. This study intended to compare the perceptions of real learners with the previous research findings. The results of the analysis are as follows. First, the results of perception of the overall cause of the error show that learners perceive the influence of Chinese as the cause of the error in the case of errors with differences in the part of speech. Errors used with passive and causative verbs have chosen more Korean language difficulties, which all groups are showing a similar tendency. However, we could see that the perception of the cause of the error is gradually changing as learners get used to the Korean language when it comes to the “e/ga” and “eul/eul” or “e” and “eso”, which do not differ in the part of speech. This study is meaningful in that it looked at the gap between study and practice by looking at the differences between the cause of research results and the causes of errors felt by the learners themselves.
LibGuides: 815XI2019FALL-VALENTI Resources for Dyslexic Readers Guide: Books for Young Adult Readers

As librarians we are often asked to help parents identify quality materials to help their struggling/reluctant readers. This guide serves as a tool to assist both library staff and parents/guardians to help identify if Dyslexia might be a factor in their
APLIKASI SENTIMENT MONITORING UNTUK TWITTER DENGAN ALGORITMA NAIVE-BAYES CLASSIFIER

Every day there are millions of opinion spread across social networks. This is often utilized by various parties to determine the opinion and sentiment of the public towards the product, brand or figures that they hold. Given the abundance of data and opinions, it is not possible to do sentiment analysis manually. In this research, author performs design and implementation of sentiment monitoring application, that could monitor people’s sentiment about a particular keyword, so it is known how the people response to those keywords, whether positive, negative or neutral. From various existing social networks, Twitter is chosen as the source of data that will be monitored. Classification algorithm used here is Naive-Bayes Classifier with Boolean Multinomial model, and feature extraction using unigram word. The training data used is 400,000 data for each type of sentiment, so the total is 1.200.000 data. In the process of classification and training, application will perform stemming to take the root words contained within the tweet. Stemming algorithm used here is Confix Stripping. The methodology of application development that used here is staged delivery. Implementation of application is done using PHP programming language. The result of this research is a sentiment monitoring application that can monitor public sentiment about a particular keyword in a particular time frame. From testing using k-fold cross validation, obtained accuracy rate for sentiment classification amounted to 85%.
How to install Solargraph with Sublime Text LSP

Solargraph is a Ruby Language Server. It's meant to add code completion and inline documentation onto IDEs.We have to install the gem firstgem install solargraphWithin
Pengaruh Model Problem Based Learning Dengan Flashcard Terhadap Hasil Belajar Dengan Mempertimbangkan Motivasi Belajar Siswa (Studi Pada Kelas IV Gugus Sekolah 3 Kecamatan Pronojiwo Kabupaten Lumajang)

Learning in the 2013 curiculum is closely related to the problems related to everyday lif that will be facd by students. In the 2013 curiculum, students are required to solve problems that exist in learning. The teacher functions as a acilitator in learning. The purpose of this research is to know the effect of the Problem Based Learning model wit Flashcard media on learning outcomes that consider student learning motivation to be implemented in school clusters 3, Pronojiwo District, Lumajang Regency. The type of research used is Quasy Experimental Design with Non-Equivalent Control Group Design. The researcher used instruments in the form of questionnaires and tests. The sample in this research  were 20 students of 4 grade at SDN Oro-Oro ombo 04 and also 20 students of 4 grade at SDN Oro-Oro Ombo 01. From the result of the study it can be concluded that there is a significant effect on learning outcomes by considering students’learning motivation (high, medium, low) when using the Problem Based Learning model with Flashcard media simultaneously, which is 0,11<0,05.
Surmize: An Online NLP System for Close-Domain Question-Answering and Summarization

The amount of data available and consumed by people globally is growing. To reduce mental fatigue and increase the general ability to gain insight into complex texts or documents, we have developed ...
Gender and sentiment, critics and authors: a dataset of Norwegian book reviews

Gender bias in models and datasets is widely studied in NLP. The focus has usually been on analysing how females and males express themselves, or how females and males are described. However, a less studied aspect is the combination of these two perspectives, how female and male describe the same or opposite gender. In this paper, we present a new gender annotated sentiment dataset of critics reviewing the works of female and male authors. We investigate if this newly annotated dataset contains differences in how the works of male and female authors are critiqued, in particular in terms of positive and negative sentiment. We also explore the differences in how this is done by male and female critics. We show that there are differences in how critics assess the works of authors of the same or opposite gender. For example, male critics rate crime novels written by females, and romantic and sentimental works written by males, more negatively.
A NEW LOOK AT THE PROBLEM OF MOTIVATIONAL ENSURING FOR STUDENTS IN THE SECONDARY SCHOOL

Motivating students to gain new knowledge is a task that secondary school teachers face daily. This occurs because of the fact that the child is not aware of his future professional choice and cannot independently determine the level of significance of studying new subjects, including another (non-native) language. In the framework of this study, the problem of motivational support in the study of a foreign language by secondary school students was studied. The importance and necessity of motivating students to increase interest in learning and gaining new knowledge is shown. The need to create a creative work environment in the classroom, which will allow students to feel more talented and resourceful, was taken into account. The role and place of folklore in stimulating the study of a foreign language is determined.
Investigating the Use of Mobile Technology to Support Letter Recognition in Early Learners

The technology industry has benefited numerous ways from the increased use of mobile electronic devices.  However, is the inclusion of mobile devices in a school a benefit or a drawback?  Regardless, technology is education is developing quickly. Technology in the classroom is no longer just limited to whiteboards and papers.  New advances in technology have led to the creation of a new generation of devices and technology-savvy learners.  For many children mobile devices are the primary educational tool of the mobile age. Adults and children carry cell phones into the classroom for notes and, unfortunately distractions. iPads are also being included as part of the classroom teaching experience. These are simply facts of education. There must be a way to account for the inclusion of this new tablet technology in the educational experience of schoolchildren.  This analysis presents the history of mobile technology implementation and effective devices, technologies and learning protocols to use within this new school environment.  There are arguments and theories that must be taken into account when investigating the placement and methods of implementing these mobile technologies’ use in didactic activities among elementary and preschool school aged students.  All of these topics will be explored in this research, specifically in the three to four year old age group.  Evidence presented here will discuss the use of iPad technology on learning letters. The steps of a plausible intervention at Baby, Toddler and Preschool Land Center in Fairfax, VA. are introduced for this age group.