Reviewerly/exHarmony huggingface dataset:
73 Development of a cloud-based device management application for simple allocation and tracking of devices and equipment

<h3>Introduction</h3> Keeping track of devices across large organisations can be challenging. Hospitals contain many electronic devices and pieces of equipment that can be moved around the building and lost. The aim of this project was to develop an electronic system for the management of devices with an app to allow for devices to be loaned to named individuals. <h3>Method</h3> As part of a joint collaboration between GOSH and UCL computer science (CS) through the industry exchange network programme, CS students devised a platform for quickly and easily logging and tracking devise, using GOSHDRIVE as a model. The application employs a 3-tier, presentation, logic and data, software architecture pattern. The presentation tier consists of a mobile application and web app. The mobile application was developed in Ionic4, an open source, cross-platform toolkit for developing mobile and desktop apps that uses standard web technologies; HTML, CSS and JavaScript. The web app make use of Bootstrap to create fully responsive web pages. The logic tier, which contains the application’s functional business logic, was written in PHP and consists of the RESTful APIs the mobile and web app use to access the data. The data tier comprises of a MySQL database to store a list of devices, loans and borrowers details. <h3>Results</h3> A web user interface was developed to allow administrators to create a database of equipment owned by an organisation with descriptions, serial numbers and physical locations. Each piece of equipment logged is assigned a QR code that can easily be scanned to check items in or out of the department. Additionally, lost items can be scanned and returned to the correct location. <h3>Conclusion</h3> This application and web interface allows assets to be catalogued and loaned. This represents a low cost way of maintaining records of equipment and devices across a large organisation.
Improved extreme learning machine and its application in SAR target recognition

In this paper, An improved algorithm for the extreme learning machine is proposed and applied to SAR target recognition.In order to solve the influence of the noise and spatial distribution of the training samples on the calculation of the classification plane, different penalty factors are given to different training samples, and according to this, the “weighted extreme learning machine” is proposed. And then,the kernel function is introduced into the "extreme learning machine" to improve the ability of nonlinear function approximation. Considering that the general training algorithm of the weighted extreme learning machine is slow and consumes a lot of computer memory when the number of training samples is large, a training method based on conjugate gradient algorithm is proposed. The test on "banana benchmark data" shows that the weighted extreme learning machine based on the conjugate gradient method can complete the convergence in the number of iterations far less than the number of samples, and the calculation speed is much faster than the traditional algorithm. Finally, this proposed algorithm is applied to SAR target recognition. The test on MSTAR data set shows that the proposed algorithm is not only extremely fast in SAR target recognition, but also has better recognition performance than support vector machine, general limit learning machine, BP neural network and other algorithms.
LibGuides: Government Documents "SuDoc" Classification : Home

Explains SUperintendent of DOCuments numbers, the classification system by which U.S. Government publications are ordered.Provides examples and links to all federal agency webstes.
MENINGKATKAN HASIL BELAJAR SISWA MENERAPKAN MODEL MAKE A MACTH MATA PELAJARAN IPS POKOK BAHASAN MENCERITAKAN TOKOH TOKOH SEJARAH PADA MASA HINDUBUDHA DAN ISLAM DI INDONESIA DI KELAS VI SD NEGER0 040451 KABANJAHE TP 2018/2019

This classroom action research was carried out to apply the Learning Model Make a Macth Social Studies Subject The Subject of Telling Historical Figures in the Hindu Hindu and Islamic Period in Indonesia in Class VI SD Negeri 040451 Kabanjahe Academic Year 2018/2019. The purpose of this study was to find out the Learning Implementation of students, knowing the mastery of student learning, knowing the improvement in student learning outcomes applying the Model Make a Match Social Studies Subjects Discussing Historical Figures in the Period of Hindu Buddhism and Islam in Indonesia in Class VI SD Negeri 040451 Kabanjahe Academic Year 2018/2019. The subject of this research is the keas VI totaling 30 people and the research object applies the Make a Macth Model. The instruments used are observation sheets and essay tests. Based on the results of the Cycle I study, the learning activities of the teacher obtained 60% sufficient criteria and the second cycle obtained 78% good criteria. , the activity of students in cycle I was obtained 68 values including sufficient criteria, and cycle II the activity value of students 84 criteria was good, completeness learning cycle I of 30 students 73% or 22 people completed, cycle II 27 people completed their study or 90% and increased learning outcomes 10% apply Learning Model Make a Macth Social Studies Subjects Discuss the Historical Figures in the Hindu Hindu and Islamic Period in Indonesia in Class VI SD Negeri 040451 Kabanjahe 2018/2019 Academic Year. Thus, this study can be concluded that, the implementation of good performance learning, student learning outcomes are completed thoroughly and increase applying Learning Model Make a Macth Social Sciences Subjects Discussing Historical Figures in the Period of Hindu Buddhism and Islam in Indonesia in Class VI Public Elementary School 040451 Kabanjahe Academic Year 2018/2019.
An Error Analysis on Surface Taxonomy Strategy in Writing Recount Text (A Case Study at Second Semester Majoring English Department of State Islamic University Sultan Maulana Hasanuddin Banten)

Reka Puspita Sari (152301807). An Error Analysis on Surface Taxonomy Strategy in Writing Recount Text (A Case Study at Second Semester Majoring English Department of State Islamic University Sultan Maulana Hasanuddin Banten). Skripsi of English Education Department at the Faculty of Education and Teacher Training of Sultan Maulana Hasanuddin State Islamic University of Banten. Advisers : Dr. H. Naf’an Tarihoran, M.Hum, and Dr. Hj. Anita, S.S., M.Pd.This research aimed at classifying the categories of Errors and to analyzing Psycholinguistic sources of Errors in writing recount text. The subject of this research was the second semester majoring English Department of State Islamic University academic year 2018-2019. There were 22 students subject of research from 32 students in second A semester . This research used a qualitative method with case study design. The instruments used for collecting data were students’ writing recount text test and students’ Psycholinguistic sources Errors Questionnaire. Both instruments were conducted to assess students’ writing recount text, students’ errors on surface taxonomy strategy and students’ psycholinguistic sources error. The result of the research showed that there are the three score of students’ writing assessment those are : Score 7-7.9 (low performance) consist of eight students, score 8-8.9 (good performance) consist of nine students, score 9 (very good performance) consist of five students. the result of the classification of Errors there are four part: Additions number of errors 116 with percentage 70.3%, Omissions number of errors 17 with percentage 10.3%, and Misinformations and Misorderings have same number of errors 16 with same percentages 9.7%. based on the total result students’ psycholinguistic sources errors most of students doing mistakes consist of processing problems and communication strategies with the number 14 or 64%, and errors consist of transfer, intraligual, and unique (induced) with the number is 8 or 36%.Keywords : Error Analysis, Surface Taxonomy Strategy, Writing Recount Text.
Feasibility study of mixed reality on education of design and planning students based on Bloom taxonomy

Head mounted display is considered useful for designing process. This research aims at investigating how the interactivity of functions and parts in mixed reality (MR) device can support the students' designing process and confirm the possibility of MR as sustainable technology. Students create 3D model using SketchUp, configure the scene in Unity, export Unity file to Visual Studio, build and deploy into MR, and confirm on the site. The result shows that although it is difficult for some students to operate MR, most of them could reach the manipulation and precision stage. MR also accelerates the prototyping of new design. It determines the feasibility of MR on design and planning education. At present, MR can only provide students with more realistic vision and basic operations but cannot significantly improve students' design. This research can be a reference for educators to support students in developing their design ideas.
Short Term Solar Irradiation Forecasting using ANFIS and Simulated Annealing ANFIS

The physical interaction between the hydrological variables (such as solar irradiation, evapotranspiration) with solar irradiance is highly nonlinear, stochastic, and complex. The solar power prediction models can be divided into two groups, namely, i) physical and ii) system theoretic. The main drawback of the physical model is the complexity of the models, which increases with increase in model parameters. Further, the development of these models is based on understanding of the physical processes in the system. On the other hand, the system theoretic model is based on data driven techniques, where the mapping or learning of the models is done through data itself. Here, the understanding of the physical process in model building is avoided to a large extent. For this SA and ANFIS, both Artificial Intelligence techniques are used to a great extent. Two years data from March 2017 to March 2019 of Sultanpur district has been taken for the forecasting of solar irradiance using the two techniques and the result is compared by calculating the RMSE values.
Utilizing Idea Mapping to Enhance EFL College Students’ Writing Performance at Universitas Islam Negeri Maulana Malik Ibrahim Malang

Writing, among the four skills, is clearly a complex process, and being competent in writing is frequently accepted as being competent of last language skill to acquire (Nunan, 1991:91). Idea mapping refers to mind mapping which can help students to generate and organize their ideas in writing. This study attempts to investigate how can idea mapping improve the writing ability of the third semester students of English Department at Universitas Islam Negeri Maulana Malik Ibrahim Malang. The classroom action research design employed in this study is a collaborative classroom action research. The design of classroom action research utilized in this study follows that of Kemmis and McTaggart (2000:595) cited in Koshy (2007:4) which comprises four main steps, namely, planning, implementing the action, observing, and reflecting which are preceded by reconnaissance (preliminary study). The findings of the study are presented based on the result of students’ writing, observation checklists, and field notes. All the findings are about the activities done in Cycle 1 and Cycle 2. Based on the results of the students’ writing, there was a slight improvement of the students’ mean score from the previous score in the preliminary study to Cycle 1. The mean of the previous score was 46.25 and the mean score of the students’ writing in Cycle 1 was 59.69. The students’ involvement in writing activities was more than what had been stated in the criteria of success. This situation implied that the second criterion of success had not been fulfilled. Better improvement of mean score is gained from the preliminary study to the Cycle 2. The mean of the previous score in the preliminary study was 46.25 and the mean score of the students’ writing in Cycle 2 was 69.85. The improvement met the first criteria of success because there was 75% of the students who achieved the target score 65. Further, Idea mapping has revealed improving the writing ability of the third semester EFL college students at Universitas Islam Negeri Maulana Malik Ibrahim Malang. Based on the implementation of idea mapping in teaching writing, it is suggested that English teachers apply idea mapping especially in teaching writing. Besides, it is advisable for teacher to give more and various tasks to the students. To the future teacher-researchers, particularly those who are interested in applying idea mapping in their classroom research, it is suggested that they conduct classroom action research on the use of idea mapping in teaching writing related to other text types, such as narrative, procedure or recount.
LibGuides: Zotero for MLA, MLA and Turabian Citations: Home About

Zotero (pronounced zoh-TAIR-oh) is a program that collects, manages, and cites research sources. It's easy to use, lives in your web browser where you do your work, and best of all it's free.
Very, Garrison, Thoreau

Clark Davis, “Very, Garrison, Thoreau: Variations on the Antebellum Passive” (pp. 332–359) This essay contends that the poetry of Jones Very, often considered predominately “mystical,” was deeply engaged in political debates of the era. Not only did Very often write poems with an avowedly public purpose, but his seemingly otherworldly, spiritual sonnets sometimes participated in antebellum political debates. The sonnet “The Hand and Foot” (1839), for instance, describes a mode of Christian passivity and quietism that echoes the contemporaneous call for passive “non-resistance” to slavery found in William Lloyd Garrison’s 1838 “Declaration of Sentiments,” the foundational statement of the New England Non-Resistance Society. Very’s poem also describes a mode of Christian behavior that is radically disruptive of social conformity, a kind of embodied “prayer” that may have influenced Henry David Thoreau’s more famous manifesto of passive resistance, “Resistance to Civil Government” (1849). Thoreau witnessed Very’s passive but disruptive behavior on more than one occasion in Concord, Massachusetts, well before his own unique dramatization of nonconformity in the mid 1840s. Comparing Very’s erasure of individual will to Thoreau’s more canny deployment of passivity can help us clarify antebellum modes of passive engagement as they evolved toward the eventual violence of John Brown’s raid and the American Civil War.
Perancangan Sistem Pendukung Keputusan Pemilihan Calon Ketua Shorinji Kempo Amikom Menggunakan Metode SAW Berbasis Web

Shorinji Kempo Amikom is one of the student activity units in the field of sports. The activity of selecting candidates for the head of each period is conducted at the end of the even semester. In this case, it has not been able to make an effective analysis, considering that the selection and assessment process is still subjective and not relevant to the actual situation. So the selection process is still not accurate. Simple Additive Weighting (SAW) is a decision-making model where this method is appropriate to solve the problem of multi-process decision making. And also this method is widely used for decision making of problems that have many attributes. This system is expected so that the user can determine the choice of prospective chairman accurately. Keywords : Decision Support System, SAW, Shorinji Kempo Amikom
NPM global installation permission issues on macOS

I had trouble installing global npm packages, which failed due to permission errors. I don't want to use sudo as this will lead to problems
Text to Speech Synthesis System in Yoruba Language

Previous and existing studies convert texts to speech (English Language) without consideration for indigenous languages. This project work is an effort to design a speech extension that can convert the highlighted text displayed by a web browser to speech considering the indigenous Yoruba language through a designed software tool specifically attached to Mozilla internet as a plug-in. This software tool allows the user to highlight the text on the web page with the mouse. The selected text provides an input to the speech program that runs in the back end. The objective of this project work is to design a program that will help people with weak eyesight, those that lack in pronunciation skills and those learning the Yoruba language as an additional language skill; it is also designed to solve problems that exist when using the manual system which include difficulty in reading and misinterpretation of information. The methodology used to convert the text to speech are the API (Google-translate, speech’.org and ttsyoruba.com) and the programming language used for the web is JavaScript. A text to speech extension is an application that converts the highlighted texts into spoken words by analyzing and processing the text in the Yoruba language. The use of the text to speech is to read out the highlighted text to the user in the Yoruba language which can be saved as an audio file.
Adaptive Noise Image Enhancement Method Based on Genetic Algorithm in Nonsubsampled Contourlet Domain

In order to suppress the noise adaptively while enhancing the image details, an adaptive image enhancement method based on genetic algorithm in Nonsubsampled Contourlet (NSCT) domain is proposed.The optimal parameters of the image enhancement function are obtained adaptively through genetic algorithm (GA).The NSCT high frequency sub-bands coefficients are processed by the image enhancement function, the coefficients which are less than the low threshold are set to 0 and the coefficients between the low threshold and the high threshold are enhanced.Experimental results demonstrate that the proposed method can adaptively enhance the image details and suppress noise at the same time, the detail variance is significantly improved, and a better visual effect is obtained.The results processed by the proposed method are better than that by classical enhancement methods.
Walsh orthogonal moments for efficiently reducing Gibbs noise in image reconstruction

Orthogonal moments have been extensively used as global feature-extraction descriptors in two-dimensional image reconstruction. However, a common problem for the existing image moments including orthogonal moments built in Cartesian coordinate system and radial orthogonal moments achieved at polar coordinate space is that Gibbs effect will occur, when image reconstruction is performed using features extracted from finite-order moments. It is well known that Gibbs noise can affect the capability of representation for image moments and the quality of reconstructed images. In this paper, we propose a set of novel orthogonal moments named as Walsh orthogonal moments (WOMs). The basis functions of Walsh orthogonal moments are Walsh functions, which composed of a class of complete orthogonal discontinuous binary function systems. Therefore, it provides possibility of avoiding calculating high order polynomials, and experimental results show Gibbs noise can be efficiently avoided by using discontinuous functions as the basis functions of Walsh orthogonal moments.
A Real-Time Human Recognition and Tracking System With a Dual-Camera Setup

Abstract Most surveillance camera systems are still controlled and monitored by humans. Smart surveillance camera systems are proposed to automatically understand the scene captured, identify the objects of interest, detect the abnormality, etc. However, most surveillance cameras are either wide-angle or pan-tilt-zoom (PTZ). When the cameras are in the wide-view mode, small objects can be hard to be recognized. On the other hand, when the cameras are zoomed-in to the object of interest, the global view cannot be covered and important events outside the zoomed view will be missed. In this paper, we proposed a system composed of a wide-angle camera and a PTZ camera. The system is able to capture the wide-view and the zoomed-view at the same time, taking the advantages from both views. A real-time human detection and identification algorithm based on a neural network is developed. The system can efficiently and effectively recognize humans, distinguish different identities, and follow the person of interest using the PTZ camera. A multi-target multi-camera (MTMC) system is developed based on the original system. In the MTMC system, multiple cameras are placed at different places to look at different views. The same person shown in any camera can be recognized as the same person while different persons can be distinguished among all the cameras.
Analisis Metode Routing terhadap Hidrograf Banjir Sungai Way Sekampung di Way Kunyir Menggunakan HEC-HMS

Flood events often occur in Indonesia so that quite a lot of people researched about the movement of floods and flood monitoring in the Watershed. The location of the study was carried out by the Way Sekampung river in Way Kunyir located in the Pringsewu district, Lampung province and is located downstream of the Batutegi dam. Flood tracing is intended to analyze the chances of a flood in the form of a flood hydrograph with or without using the Routing method and find out the results of some Routing methods in the watershed. The Routing method used in this study is Lag, Lag and K and Muskingum. The HEC-HMS modeling results state that peak discharge data when without Routing is greater than entering the Routing parameter. This is because entering the Routing parameter in modeling is very influential at peak times so that it affects the peak discharge at the watershed outlet. As a result of Muskingum Routing, the peak discharge is lower than before entering the flow routing, this is due to the occurrence of reservoirs along the river so that the peak discharge becomes lower than without Routing. The results of Lag Routing and Lag and K Routing are peak discharge decreased compared to before entering the Routing parameter. what should have happened to the peak discharge with Routing and without Routing remains the same, however, only peak discharge tranlations occur and there is travel time. This happens because there is no debit data at the station being reviewed so it uses rain data instead of HEC-HMS modeling.
LibGuides: Organizational Leadership 2019: Find Articles

We designed this research guide for students in the ORGL program at Gonzaga. You'll find the materials, search tools, and other resources you need to start your research. If you need any assistance, please contact your librarian.
Implementation of POVMs by Projective Measurements and Postselection:Optimal Strategies and Applications to Unambiguous State Discrimination

We present new results concerning simulation of general quantum measurements (POVMs) by projective measurements (PMs) for the task of Unambiguous State Discrimination (USD). We formulate a problem of finding optimal strategy of simulation for given quantum measurement. The problem can be solved for qubit and qutrits measurements by Semi-Definite Programming (SDP) methods.
A Generic Review of Messenger Application: Wechat And Whatsapp

Over the Internet today, communication environment is more easy and interesting to the citizen. There are much interesting in modern technology when they provided a good substrate for creating large-scale data sharing, content distribution, and application-level multicast applications. The important objective of this article is getting information about comparison of two distributed system in messenger application. Messenger application is known as a tool communication that can get any information. The distributed system is one of the independent and single coherent systems it was built an application that will be informed that section is being fixed or replaces to serve more applications or users. The distributed system for this article about the comparison of two distributed system in messenger application for WeChat and Whatsapp, it is also known as the famous application for this generations nowadays.