Reviewerly/exHarmony huggingface dataset:
LibGuides: Off-Campus Access to e-Resources: eBooks

This guide describes how to use OpenAthens, a single sign-on solution for off-campus access to the Booher Library's electronic resources.
A Study On The Speaking Ability Of The Second Year Students Of Smpit At-Taqwa Pelalawan

Abstract: This descriptive research was conducted to find out the students’ speakingability in term of recount text. The samples of this research were 40 students fromSMPIT At-Taqwa Pelalawan. The researcher used cluster random sampling techniqueto choose the samples. The instrument to measure the students’ speaking ability wasin the form of monologue, retelling a story in recount text. The students’ speakingscores were measured by three raters. The researcher analyzed the data by calculatingthe students’ mean score. Based on the data analysis, it can be concluded that themean score of the students’ speaking ability is 53. From each aspect, it could be seenthat the highest score was in term of vocabulary with the average score of 64. It isfollowed by grammar with the average score of 60, then comprehension with theaverage score of 57.5, and fluency with the average score of 49. Therefore, the lowestscore was in term of pronunciation with the average score of 46.3.Key Words: Speaking, Ability
О ВСТУПИТЕЛЬНЫХ ЭКЗАМЕНАХ В УНИВЕРСИТЕТЫ РОССИЙСКОЙ ИМПЕРИИ ВО ВТОРОЙ ПОЛОВИНЕ XIX – НАЧАЛЕ XX ВЕКА

The change of the conservative policy of the late 1840s – early 1850s towards the universities to the liberal policy is connected with the accession of the emperor Alexander II, called the Liberator. A lot of memoirists noted that, after his accession, the spirit of freedom and the expectation of change for the better were felt throughout society. Therefore, the University’s Statute of 1863 was seen by the next generation as a liberal ideal to which they would return after the conservative Statute of 1884. One of the main reasons for that was the fact that Alexander II abolished entrance examinations to universities for gymnasium students, which was confirmed by the law of 1863. At the same time, the entrance to universities for seminarians became open in 1863. However, the appearance of those laws didnot abolish examinations neither for gymnasium students, nor for seminarians, which were undergoing through entrance tests. Only in 1873,the Emperor ordered to abolish exams for gymnasium students completely, and the entrance of seminarians to the universities was closed in 1879. After that, the Ministry of National Education slowly and reluctantly opened the opportunity to get a university education for secondary school graduates who did not have evidences of graduation. However, until the end of the Russian Empire, it was the certificate which gave the right to the entrance to the University without entrance examinations.
Generating Gameplay-Relevant Art Assets with Transfer Learning.

In game development, designing compelling visual assets that convey gameplay-relevant features requires time and experience. Recent image generation methods that create high-quality content could reduce development costs, but these approaches do not consider game mechanics. We propose a Convolutional Variational Autoencoder (CVAE) system to modify and generate new game visuals based on their gameplay relevance. We test this approach with Pokemon sprites and Pokemon type information, since types are one of the game's core mechanics and they directly impact the game's visuals. Our experimental results indicate that adopting a transfer learning approach can help to improve visual quality and stability over unseen data.
중학교 언어문화 프로그램 개발 및 인성 교육 프로그램 인증 사례 연구 - 청소년 언어문화 프로그램 ‘따뜻한 언어 행복한 우리 아름다운 세상’을 중심으로 -

This case study focuses on a language-culture program and a certification of character education program for middle school students. Through the Ministry of Education’s character education program certification system, youth language-culture status and language-culture program schooling for middle school students attempts to strengthen the connection between language-culture education and character education for teenagers, in order to gather data for institutional expansion.The middle school language and culture program, ‘With Warm Words, We are Happy, the World Becomes Beautiful’, modularized the core values and virtues presented in Article 2 of the Personality Education Promotion Act, covering six themes: “judging consciousness,” “discriminatory language,” “conversations with parents,” “formal conversations outside of school,” “online language,” and “language of empathy and consideration.” After conducting a middle school language-culture program for one class of 1st year middle school students, and validating the program’s effectiveness, the program examines participants using a KEDI character test paper, certified by the Ministry of Education as part of the character education program. This specific middle school language-culture program is meaningful in that it was the first language-culture character education program certified by the Ministry of Education, and it attempted to disseminate and proliferate the middle school character education program from an institutional perspective.
Blood Group Identification using FPGA

Detection of Blood Group is the first essential proce- dure for major medical surgery. Traditional ways of laboratorytesting techniques like plate test and tube test are susceptible to human fallibility and, the approach of detecting blood groupsis still prevalent in our modern era of digitization. As it is time-consuming, the results are difficult to reproduce, and there is aneed for a domain expert. Our present times necessitate automation of the evaluation process. This approach would be alifesaving method for Blood Group Identification.The proposed system uses a technique of testing using FPGA. Canny Edge Detection Algorithm developed using MATLABSimulink and converted to HDL Code for Hardware Implemen- tation on Arty 7000 Zync FPGA using Xilinx Vivado softwareas FPGAs have the advantages of speed and reconfigurability for image processing applications. The Detected edges countedto classify blood group. The proposed Hardware Model FPGA demonstrates 2.5 V power supply with the power usage of 1.83W. Its Hardware implementation requires only 10.773ns, while Intel Core i5 processor with 1.60 GHz clock rate and 8 GBRAM takes 120 s upon software-based MATLAB implementation. An accuracy of 99% achieved when tested with each typeof blood with more than 100 various blood samples produced advantages like portable, affordable, durable, and more limitedpower consumption than conventional methods of detecting blood group by the proposed hardware solution.
Using MOOCs in the process of teaching future engineers mathematical disciplines

Researched are peculiarities of using massive open online courses (MOOCs) in the process of teaching mathematics to future engineers. The need for democratization, increased accessibility and the trend towards digitalization of education in the future will lead to the widespread use of online courses in education, including technical. As part of the study, a survey was conducted of teachers and students of technical universities in the form of a questionnaire. The survey revealed a fairly high awareness of teachers about massive open online courses (93.3%). Among students, the number of such respondents was only 45.4%. The most popular among the surveyed teachers and students is the online platform “Open Education” — 53.3% and 34.5%, respectively. Note that among the reasons that prevent the use of massive open online courses in education are: lack of free time, lack of skills to work in this format, lack of regulation of the implementation of learning outcomes in MOOCs in the formal educational process. At the same time, analysis of the platforms Coursera, EdX, OpenEducation, Intuit, Lektorium, and Stepik showed that as of January 2021, 150 courses were available in both general and specific math areas. We believe that the active use of massive open online courses in preparation for the educational process can increase the efficiency of mastering competencies in solving practical mathematical problems, which will improve the training of future engineers.
Research Guides: IDT 4170 and 7170: Mobile Learning: Module 1

Your CECH Library course guide for IDT 4170 and 7170. This guide links to course readings by module. For research support, see the Technology and Instructional Design research guide linked from the home section of this course guide.
Pengembangan Modul Menggunakan Autoplay Media Studio 8 di Kelas XI IPS

The purpose of this study is to analyze the need for module development A utoplay M edia S tudio 8 , to design an electronic module using A utoplay M edia S tudio 8 , and to test the feasibility of developing modules using A utoplay M edia S tudio 8 . The background of this study is the lack of learning media in electronic form. This study utilized a Research and Development (R&amp;D) type with a modified Borg and Gall development model. The objects of the development were 3 experts and the limited trial class selected was XI IPS 1 class consisting of 5 people, and the usage trial class was XI IPS 3 consisting of 10 people. Data collection tools were observation, interviews, and validation sheets. The results showed that based on the needs analysis, electronic-based learning media was required using A utoplay M edia S tudio 8 . Module development using Autoplay Media Studio 8 utilized 8 stages, namely; potentials and problems, data collection, product design, design validation, design revision, product testing, product revision and usage trials. The feasibility of developing the module A utoplay M edia S tudio 8 showed a decent category with a score of 79, 87%.
Analysis of Hand Gestures by Computer Perspective Vision

This paper is about Human behavioral analysis in ego-centric vision by their hand gestures. The people can be motion tracked by a wearable camera in egocentric vision. Our paper can be implemented in the area where there is an interaction between different country peoples. Especially it can be used in airports where different country people meet. It helps the Airport Authority to know the mind-set of the people while they are under the process of immigration in immigration office and treat them in a corresponding way. On the same way, the similar gesture may be representing different things in different countries. This can be implemented by having certain datasets of hand gestures and facial expression of people from different countries. They can be processed by Weka statistical tool.
An Improvement of Scalability and Security in E-Commerce Application Using Bcrypt Encryption Algorithm

E-commerce is a type of business model that focuses on doing commercial transactions through electronic networks like the web. Most of the company sales come through the popular e-commerce web site that has a very effective search engine ranking, however scalability and security are being major issues in present E-commerce. We implemented an e-commerce web site to cope with the issues related to scalability and security. In particular our top priority in this re-engineering effort are performance and user experience. This paper is proposes to launch a new e-commerce application as part of this re-engineering effort by retaining the existing interface of the current application that is being used to manage product catalogue and inventory are works fine for now and we will continue to use it with the new customer-facing application. The new application should integrate well with existing database. However, if the database design of the existing application imposes a negative impact on new application performance, it is good to duplicate this data in the new application database. The proposed work provides high security to the user's personal data using BCrypt encryption algorithm to enhance the security level of system.
CMS security tips and tricks

Content management systems become more popular and due to the speed provided during the development the number of websites developed with a CMS growns extremely. This is the reason the sites developed with a CMS become a more attractive target for cybercriminals. The CMSes are divided in 2 categories: free open-source and paid. According to that categorization the security level of the system is limitless. As part of my research, we are investigating only the free tools supporting the application development process and the presented tools and softwares are only from personal experience! So for the present article, we are going to present the Umbraco CMS with its integrated security tools and some other free to use tricks in order for the system we develop to be secure.
Learning intra-inter semantic aggregation for video object detection.

Video object detection is a challenging task due to the appearance deterioration problems in video frames. Thus, object features extracted from different frames of a video are usually deteriorated in varying degrees. Currently, some state-of-the-art methods enhance the deteriorated object features in a reference frame by aggregating the undeteriorated object features extracted from other frames, simply based on their learned appearance relation among object features. In this paper, we propose a novel intra-inter semantic aggregation method (ISA) to learn more effective intra and inter relations for semantically aggregating object features. Specifically, in the proposed ISA, we first introduce an intra semantic aggregation module (Intra-SAM) to enhance the deteriorated spatial features based on the learned intra relation among the features at different positions of an individual object. Then, we present an inter semantic aggregation module (Inter-SAM) to enhance the deteriorated object features in the temporal domain based on the learned inter relation among object features. As a result, by leveraging Intra-SAM and Inter-SAM, the proposed ISA can generate discriminative features from the novel perspective of intra-inter semantic aggregation for robust video object detection. We conduct extensive experiments on the ImageNet VID dataset to evaluate ISA. The proposed ISA obtains 84.5% mAP and 85.2% mAP with ResNet-101 and ResNeXt-101, and it achieves superior performance compared with several state-of-the-art video object detectors.
An OpenMP Based Approach for Parallelization and Performance Evaluation of k-Means Algorithm

In today’s digital world, the volume of data is drastically increasing due to the continuous flow of data from various heterogenous sources such as WWW, social media, environmental sensors, huge enterprise data warehouses, bioinformatic labs etc. to name a few. This results in creation of many high-volume datasets in various domains. Processing such large datasets is a tedious task, therefore they need to be categorized into smaller subsets using various supervised or unsupervised classification techniques. Clustering is the process of statistically analyzing and categorizing data objects with similarity, into substantially homogeneous groups, called data clusters. k-Means is the most common, simple and popular clustering technique, due to its ease of implementation, usability and wide range of applications. One of the issues associated with the k-Means algorithm is that it suffers from the scalability problem due to which, its performance degrades as the dataset sizes grow.  In order to address this issue, we have presented an OpenMP based parallelized k-means algorithm which results in better computational cost as compared with its sequential counterpart. Computational performance results of both sequential and OpenMP based k-means algorithms are illustrated and compared.
Application of Target Image Recognition under MRI Filtering Technology

Image recognition is an important foundation of computer vision, and has a wide range of applications in machine vision, traffic monitoring, and intelligent drones.At present, there are many image recognition methods, each with its own advantages under different conditions.It is worth noting that in the field of image recognition, speed and recognition rate are two important indicators for evaluating the quality of image recognition methods.Generally speaking, the speed and recognition rate of image recognition methods are not only related to the corresponding algorithms, but also related to the computational performance of on-site image processing equipment.
KEMAMPUAN SISWA MENGANALISIS TEKS ANEKDOT PADA SISWA KELAS X SEMESTER GENAP SMAN 2 TULANG BAWANG TENGAH TAHUN PELAJARAN 2018/2019

The purpose of this study was to determine and describe the ability of classX students in even semester of SMAN 2 Tulang Bawang Tengah academic year2018/2019 in analyzing anecdotal texts. The anecdotal text analyzed by students isfocused on abstraction, orientation, crisis, reaction and code. The problem was raisedbecause of the weakness of students in analyzing anecdotal texts. The research methoduses descriptive qualitative. The data source of this study is all students of the oddsemester X class of Middle School 2 Tulang Bawang Tengah 2018/2019 school yearwhich amounts to 164 with core subjects as many as 1 class. Data analysis was carriedout by qualitative analysis. The results showed that the ability of class X students inanalyzing anecdotal texts in the category was sufficient because the average score was60. In each aspect, among others: sufficient ability on the abstraction aspect becausethe average score of 74 and orientation aspects reached a less category because of theaverage score average 44. In the crisis aspect the average score is 61 in sufficientcategories and in the reaction aspect reaches the less category because the averagescore is 51 and in the coding aspect it achieves an average score of 69 in the sufficientcategory.
Sentiment Analysis of Film Reviews using Machine Learning Techniques

A huge amount of data is generated everyday on the web and it is only going to increase as more and more people start using the internet. Because of social networking platforms, more and more people are able to express their opinion and their views on different topics such as writing reviews about what movies they watched on different social media platforms including sites like IMDB. Sorting through these reviews manually to determine whether a certain review is positive or negative is an impossible tasks. Hence, the need to automate this arises. To provide a solution to such problems there are many ways including Sentimental Analysis. Sentiment Analysis deals with interaction between machine such as computers and natural languages used by human beings in short we can say training machine in accordance to the problem statement. We can derive high quality information by using simple text entered by the user through different patterns and trends leading towards the output we expect by the various evaluations and interpretations, thus we categorise and cluster our text in respect to the problem statement we are dealing with. After that we compute our output by using the dataset we have using different models, algorithms, mathematical computations with comes under the category of computational linguistics. This field is mainly applied when we have to take reviews or survey from our customers on products or services. Sentimental Analysis is a relatively new variant in the research area. It basically refers to as the opinions or views of the different data that is being collected using surveys, comments and reviews over the web.
LibGuides: U.S. Congressional Serial Set via HeinOnline: Secrets of the Serial Set

Based on the stellar guide created by Tara Kibler at HeinOnline. A HeinOnline monthly blog series.
The adoption of bitcoins technology: The difference between perceived future expectation and intention to use bitcoins: Does social influence matter?

Bitcoin is a decentralized system that tries to become a solution to the shortcomings of fiat and gold-based currencies. Considering its newness, the adoption level of bitcoin is yet understood. Hence, several variables are proposed in this work in examining user perceptions regarding performance expectancy, effort expectancy, trust, adoption risk, decentralization and social influence interplay, with the context of user’s future expectation and behavioral intentions to use bitcoins. Data were gathered from 293 completed questionnaire and analised using AMOS 18. The outcomes prove the sound predictability of the proposed model regarding user’s future expectations and intentions toward bitcoins. All hypotheses were supported, they were significantly affecting the dependent variables. Social influence was found as the highest predictor of behavioral intention to negatively utilize bitcoins. The significant impact of social influence, adoption risk and effort expectancy which affect behavioral intention to use bitcoins the most, are demonstrated in this study. Bitcoins should thus, present an effective, feasible and personalized program which will assist efficient usage among users. Additionally, the impacts of social influence, adoption risk and perceived trust on behavioral intention to utilize new technology were compared, and their direct path was tested together, for the first time in this context.
A Big Data Approach for Sequences Indexing on the Cloud via Burrows Wheeler Transform.

Indexing sequence data is important in the context of Precision Medicine, where large amounts of ``omics'' data have to be daily collected and analyzed in order to categorize patients and identify the most effective therapies. Here we propose an algorithm for the computation of Burrows Wheeler transform relying on Big Data technologies, i.e., Apache Spark and Hadoop. Our approach is the first that distributes the index computation and not only the input dataset, allowing to fully benefit of the available cloud resources.
THEORY AND EVOLUTION OF CRYPTOCURRENCY: BITCOINS – HEREUM.

cryptocurrency is a digital currency that leads the market nowadays. The knowledge about which led to the destination of cryptocurrency and the evolution of cryptocurrency is explained. Bitcoins and Ethereum are the most popular cryptocurrencies. They use blockchain technology. Thereby we see the future of cryptocurrency.
Arrendale Library: Criminal Justice Resources: Library Hours & Schedules

This library guide will help you find full-text journal articles, books, ebooks, videos, and more.
PENGARUH KUALITAS PELAYANAN E-KTP TERHADAP KEPUASAN MASYARAKAT PADA KANTOR CAMAT KECAMATAN RANAH BATAHAN KABUPATEN PASAMAN BARAT

The purpose of this study was to obtain an overview of the implementation of a service for Electronic Identity Cards (E-KTP) conducted at the Sub-District Head Office of the Batahan Sub-District of West Pasaman District. This research is related to using primary data and secondary data, namely primary data in the form of questionnaires and secondary data in the form of literature studies and also supporting documents related to research. Data analysis techniques used to test hypotheses are multiple linear regression. In this study there are five independent variables, namely tangible, empathy, reliability, responsiveness and assumption and dependent variable, namely community satisfaction. In this study, data collection techniques were carried out by asking a number of questions in the form of quizzes to the community who recorded E-KTP at the District Head Office of Ranah Batahan District, West Pasaman Regency. The results of this study based on the testing of multiple linear regression analysis found that the tangible, empathy, reliability, responsiveness and assurance variables had a positive effect on community satisfaction at the Head of the Sub-District of Batahan Sub-District, West Pasaman. Keywords : Quality, Service, Community Satisfaction
[Section V Introduction]

Methods and Agendas in Technology EducationClick on the pdf button to open and readthe introduction to this section.