Reviewerly/exHarmony huggingface dataset:
Research Guides: Databases, Germs, and WiFi: Vendors Share the Love - From a Safe Distance: Instruction for Instructors

This is a listing of products and services that vendors have made available for free or expanded coverage due to many institutions moving their instruction online on short notice. These are resources for instructors that are now to the online/hybrid format or just want a refresher on a subject.
Automatic tag suggestions using a deep learning recommender system

This study was conducted to investigate how well deep learning can be applied to the field of tag recommender systems. In the context of an image item, tag recommendations can be given based on tag ...
Towards Quality of Experience for Industrial Internet of Things

Today’s research on Quality of Experience (QoE) mainly addresses multimedia services, where the end-users' subjective perception is the prime factor of determining the QoE. With the introduction of ...
Implementation of Image Recognition on Embedded Systems

Image recognition technology is becoming more and more widely used and is getting closer to people’s lives. This article applies the Jetson Nano embedded system and use the ImageNet dataset as a training set. Image recognition is implemented on the TensorFlow platform using Soft Max regression algorithm, and add CNN to improve the recognition accuracy.
LibGuides: IUN Virtual Library for Faculty: Internet Access for Students

Accessing the John W. Anderson Library's resources and services for all online classes. A guide that provides a gateway to access library databases, e-books, interlibrary loan, virtual reference help, and video conferencing instruction.
Research Guides: PCC Library Technology Certificate Programs: Library Technology Courses & Requirements

A Library Guide for prospective/current/alumni students in the Library Technology, Archives & Digital Collections, and Digitization Certifcate Programs at Pasadena City College
THE MEANS USED FOR PSYCHOLOGICAL INFLUENCE IN THE WORK OF SECONDARY SCHOOL HEADS

This article generalizes scientifically theoretical knowledge about professional specifics and psychological peculiarities of secondary school heads’ administrative work; presents psychological mechanisms that an administrator uses to influence the staff; discovers the essence of the notion of “psychological influence” and its role in management activities; discusses the performed theoretical and empiric investigation of the means of psychological influence as an inseparable part of administrator’s psychological competence. It shows the peculiarities of usage of manipulation, persuasion, suggestion and affection as the most effective and widely used means of psychological influence applied in secondary school heads’ management work. An effective management is not possible without the use of psychological mechanisms of influence. They are inseparable and the most important factors in the structure of administrative work. The problem of a manager’s influence on the staff is now very important, for management is an interaction between those who directs and those who are directed. That is why, it is evident that different forms of influence take place constantly during interactions. It is important that the influence should be conscious and purposeful. For the effective influence on the staff’s work, a contemporary manager should have a profound understanding of the psychological bases of management, be able to provide conditions that stimulate an effective collective work in an organization. The performed theoretic&nbsp; and empiric investigation show that, regardless of the age, social status and education differences, the most effective means of psychological influence tend to be persuasion, suggestion, infection, commitment and requesting. There are a lot of different classifications of the means of psychological influence. In this article we presented our own model of classification of the means of psychological influence according to their aim and environment of their use. According to this model, we distinguished those the means of psychological influence that may be used at conflict situations, those that can be purposeful during public speeches, conferences, individual conversations, and those that help to make better psychological environment in an organisation. &nbsp
LibGuides: Library Assistance During COVID-19 / Coronavirus: Instructional Videos

These tutorials are provided to aid students in learning how to navigate the library's resources.
Suggest Recommendation for Library Users Using Graphs

Abstract The aim of this paper is to prove the usefulness of graphs in solving an ever-present problem for library users: finding books they like and they are looking for. Graphs are known as an important tool in solving conditioned optimization problems. We propose a graph-based system of recommendation which can be easy used in a library for assisting and helping users in finding in real time the books they like. The main advantage of the proposed graph-based approach lies in the ease with which new data or even new entities from different sources are added to the graph without disturbing the entire system. The system uses the similarity scores in order to find the similarity between objects and to get the best recommendation for a user’s request. In the end, we will compare the results from used formulas..
RECOMMENDER SYSTEMS: PREDICTING WITH MACHINE LEARNING BASED ON POPULATION-BASED ALGORITHM

The article considers the formulation of the forecasting problem as well as such problems of recommender systems as data sparsity, cold start, scalability, synonymy, fraud, diversity, white crows. Combining the results of collaborative and content filtering gives us two possibilities. On the one hand, to weigh the results according to the content data. On the other hand, to shift these weights towards collaborative filtering as soon as data about a particular user appears. In turn, this improves the accuracy of the recommendations. The authors propose a hybrid model of a recommender system. Such a system includes the characteristics of collaborative and content filtering both. Also, the population-based algorithm for filtering and the architecture of a recommendation system based on it are described in the article. The algorithm consists of the following steps: study the search space; synthesis of solutions, i.e. points of this space; request quality assessment decisions or “fitness”; using it to make “natural selection”. Here we see the learning process about which areas of the search space contain the best solutions. The population of user “characteristics” encoded in the population-based algorithm supports a variety of input data in a hybrid model. The authors propose a coding structure for decisions in a population-based algorithm using the example of a recommender movie viewing system. Drift analysis evaluates the polynomial complexity of the algorithm. The authors demonstrate the results of experimental studies on an array of benchmarks. We also present an assessment of filtration efficiency based on a hybrid model and a population-based algorithm in comparison with the traditional method of collaborative filtering using the Pearson correlation coefficient. We can see that the prediction accuracy of the population-based algorithm is higher than that of the Pearson algorithm.
An Improved McEliece Cryptosystem Based on QC-LDPC Codes

In the original McEliece cryptosystem based on QC-LDPC codes, the decoding algorithm uses BF algorithm instead of BP algorithm, which reduces the time complexity but decreases the decoding performance. To solve this problem, we improve the original algorithm and use the Q-decoder which utilizes the correlation between the error pattern e and the matrix Q, making decoding performance much better. Finally, we analyze the security of the improved cryptosystem, finding it has a higher security level.
Visual Object Tracking Fusing CNN and Color Histogram based Tracker and Depth Estimation for Automatic Immersive Audio Mixing

We propose a robust visual object tracking algorithm fusing a convolutional neural network tracker trained offline from a large number of video repositories and a color histogram based tracker to track objects for mixing immersive audio.Our algorithm addresses the problem of occlusion and large movements of the CNN based GOTURN generic object tracker.The key idea is the offline training of a binary classifier with the color histogram similarity values estimated via both trackers used in this method to opt appropriate tracker for target tracking and update both trackers with the predicted bounding box position of the target to continue tracking.Furthermore, a histogram similarity constraint is applied before updating the trackers to maximize the tracking accuracy.Finally, we compute the depth(z) of the target object by one of the prominent unsupervised monocular depth estimation algorithms to ensure the necessary 3D position of the tracked object to mix the immersive audio into that object.Our proposed algorithm demonstrates about 2% improved accuracy over the outperforming GOTURN algorithm in the existing VOT2014 tracking benchmark.Additionally, our tracker also works well to track multiple objects utilizing the concept of single object tracker but no demonstrations on any MOT benchmark.
Creating Bilingual Booklet to Support Tourism in Sangiran

Abda’u Rafi Saputra, 2019, Creating Bilingual Booklet to Support Tourism in Sangiran,English Diploma Program, Faculty of Cultural Sciences, Sebelas Maret University. The objective of the report is to describe my internship projects in Sangiran Early ManSite, running from 24 January 2019 to 25 February 2019. I worked in a group consisting of fourmembers during conducting the internship program. My group projects were creating apromotional video and a bilingual booklet. I got tasks to create the bilingual booklet. In thebilingual booklet contents, I applied the learning that I got from English for Advertising andPublic Relations Subject through the implementation of AIDA Models and persuasiveexpressions. The problems faced were graphic design issue, internet connection issue, and takingpicture issue. The solutions for those problems are saving periodically the works, browsing in thearea with good Internet connection, and using smartphone camera.
PENERAPAN METODE FERNANDEZ DALAM PERANCANGAN MODEL KNOWLEDGE MANAGEMENT SYSTEM PADA HALL OF ARMOR BEKASI

Hall of Armor Bekasi as an organization engaged in providing services such as armor costume-making for various events. To improve human resource capabilities in providing quality and quantity of product services to optimum level, Hall of Armor Bekasi requires better support in information and communication technologies to improving the ability of personnel. Knowledge Management is one of the efforts to manage the resources of knowledge possessed by every person on this organization. This study aims to produce a model of knowledge management system in accordance with the conditions of Hall of Armor Bekasi. Using Fernandez’s method, the Contingency Factor to determine the form of knowledge management process that is suitable for the organization, as well as through prototyping to create a model of webbased KMS. This study concluded that KMS has priority on knowledge sharing is verysuitable to be applied in the Hall of Armor Bekasi as adjusted by the daily condition of the organization. Which are all of this efforts, arranged in order to improve the quality of human resources in the Hall of Armor Bekasi, which will support the quality and quantity of products of this organization in the future.
PERANCANGAN APLIKASI SISTEM PENCARIAN HOTEL MENGGUNAKAN K-NEAREST NEIGHBOR DI DEPOK

H otel provides accommodation provided commercially for everyone to get services and lodging to eat and drink. The purpose of making this application is to make it easier for consumers to get / book hotels easily using the application. Decision support system that can support prospective customers in determining choice hotels quickly, precisely and accurately. PHP, database, and PHP applications use databases, this application uses the programming language in MariaDB, this application also only uses Hotels in Depok area, and this application searches for nearby hotels using distance, price, and ranking where we are in Depok City. The system is developed using the K - Nearest Neighbor (K-NN) algorithm. The method chosen is because the K-Nearest Nighbor method is a supporting model that can classify data based on the closest distance. K-Nearest Neighbor is the simplest formula that is often used in remote search implementation. The formula used in calculating the Nearest K-Neighbor is the Euclidean Distance formula. Keywords : Hotels, Depok, K-Nearest Neighbor (K-NN), Search Syste m.
End-to-end deep learning for big data analytics under a quasi-open set assumption

Neural network classifiers trained using end-to-end learning regimes are argued most viable for big data analytics due to their low system complexity, fast training and low computational cost. Generally, big data classification models are trained using a semi-supervised learning framework due to the available unlabelled samples and the high cost to gather labelled samples. We assume that unlabelled training samples in big data are from both the same and different classes to available labelled training samples which we call a quasi-open set. Under quasi-open set assumptions, end-to-end classifier models must accurately classify samples from source classes represented by labelled and unlabelled training samples while also detecting samples from novel classes represented by only unlabelled training samples. To the best of our knowledge, no end-to-end work has trained under a quasi-open set assumption making our results a first of its kind. Our proposed method extends the semi-supervised learning using GANs framework to also explicitly train a certainty classification measurement via end-to-end means. Different from other certainty measurements that aim to reduce misclassifications of source classes, ours aims to provide tractable means to separate source and novel classes. Experiments are conducted on a simulated quasi-open set using MNIST by selecting seven classes as source classes and using the remaining three classes as possible novel classes. For all experiments, we achieve near-perfect detection of samples from novel classes. On the other hand, source class classification is dependant on the number of labelled training samples provided for the source classes as per general end-to-end classification learning. End-to-end learning is held as the most tractable solution for big data analytics, but if only if models are trained to classify source classes and detect novel classes.
Updates to the NNTP Protocol

This Internet Draft proposes and suggests updates to the Network NewsTransfer protocol, or NNTP. The NNTP powers Usenet, one of the largestsocial media platforms in the world. It is primarily used fortransferring text and binary posts. The aim of these updates is toimprove efficiency between NNTP peers and NNTP clients.
LibGuides: IUN Virtual Library for Faculty: Library Databases

Accessing the John W. Anderson Library's resources and services for all online classes. A guide that provides a gateway to access library databases, e-books, interlibrary loan, virtual reference help, and video conferencing instruction.
WED 2-3PM | Italian Pronunciation Workshop

Mastering Italian pronunciation is often the hardest thing about learning Italian but here we come to help!  Vowels (open sound vs. close sound), ...
Ge(111)-c(2x8) and Sn/Ge(111)-sqrt3 x sqrt3 Surfaces Studied by STM

This experiment has used low-electron diffraction and scanning-tunneling microscopy to investigate the atomic and electronic structure of the Ge(111)-c(2x8) and Sn/Ge(111)- surfaces. The clean Ge(1 ...
Understanding Romanian Texts by Using Gamification Methods

Abstract In recent years, there has been increasing interest in the field of natural language processing. Determining which syntactic function is right for a specific word is an important task in this field, being useful for a variety of applications like understanding texts, automatic translation and question-answering applications and even in e-learning systems. In the Romanian language, this is an even harder task because of the complexity of the grammar. The present paper falls within the field of “Natural Language Processing”, but it also blends with other concepts such as “Gamification”, “Social Choice Theory” and “Wisdom of the Crowd”. There are two main purposes for developing the application in this paper: a) For students to have at their disposal some support through which they can deepen their knowledge about the syntactic functions of the parts of speech, a knowledge that they have accumulated during the teaching hours at school b) For collecting data about how the students make their choices, how do they know which grammar role is correct for a specific word, these data being primordial for replicating the learning process
Research Guides: Books We Read Online: Streaming

The online version of Books We Read, a program at Chang to promote books, libraries, and information literacy through recreational reading.
LibGuides: New Faculty At FLITE and KCAD Library: People at FLITE

Welcome! This guide is designed to help new faculty at Ferris and KCAD find their way around.
Digital Forest Installation Test in Gallery Space

Modern art and the rapid evolution of technology in software and hardware have enabled designers and artists expanding their arts to new dimensions and perspectives. The developing of digital technology become significant in art practice, which creates innovative possibilities of its' ability for endless artistic expression and for artists to create a new experiential aesthetic. As audience interest and demand for modern art are rising, some artists have started to explore the experiential and expressive potential of technology applications in the arts such as projection mapping. Projection mapping, also known as video mapping, is the art of using projection technology to map digital contents onto any physical object or non-flat surface. The idea is to create illusions of images and turn almost any surface into a dynamic video screen - bringing any physical objects to life through digital images. The mixing of both digital content with physical objects within the real space enables the audience to be immersed with the artwork.Through this research project, a projection-based audiovisual installation was designed and developed to examine the projection mapping software and hardware to seek its potential in creating an immersive experience in a gallery space setting — the project aimed to explore the experiential and aesthetic possibilities that are engaging to the visitors.
Language and Interactive Media in Teaching and Training at Akademi Pengajian Bahasa

The Industrial Revolution 4.0 (4IR) is gaining ground in technology development in Malaysia. It also involves the development and usage of technology in the national education system. The development of this technology has a positive impact on language teaching and learning as it provides new dimensions with the development of more comprehensive interactive multimedia products. This paper discusses one of the courses that prepare graduates to produce interactive multimedia. Interactive multimedia is produced based on specific topic in Malay language that aims to teach specific target groups. Language and Interactive Media is a compulsory course taken by students of the Bachelor of Applied Language Studies (Malay for Professional Communications) at the Akademi Pengajian Bahasa, Universiti Teknologi MARA, Shah Alam, while the Interactive Media Development course is an advanced course offered as an elective subject. The main objective of teaching and training for both courses is to ensure that students are capable of developing interactive multimedia-based learning products on Malay language and culture. The discussion was based on feedback provided through the Entrance-Exit Survey (EES), student’s learning outcome and examples of interactive media application produced by the students.
SISTEM PEMBAYARAN ADMINISTRASI KEUANGAN MENGGUNAKAN TEKNOLOGI BARCODE BERBASIS CLIENT SERVER (STUDI KASUS DI SMK NEGERI 3 KENDAL)

SMK Negeri 3 Kendal uses a payment system that still uses a manual system, i.e inputting payment data using excel file and payment data through recording in the entry book daily so the Administrative Section of Urs. Finance is having difficulty recapitalizing income and making reports due to the calculation of invalid data and services that require a long time. Researchers use the Research and Development (R&D) method in developing payment systems SPI, Extracurricular and School Fees through the manufacture of final products using Visual Foxpro 9.0 and technology client-based barcode server. The results of testing by experts concluded that the payment system was declared valid.
Operating System Security and Access Control

Mass-produced computers emerged in the 1950s. 1960s time-sharing systems brought security requirements into focus. 1965-1975 was the golden design age for operating system (OS) protection mechanisms, hardware protection features and address translation.
Research Guides: 2019/20: Electronic Discovery (eDiscovery) (Spring 2020): April, 2020 Update

This is a guide to research materials selected by a librarian that may be related to Prof. Custer's eDiscovery course.
Library Research Guides: Temporary Free Access to Academic Resources during COVID-19: Open Access Content

This guide is intended to assist librarians and faculty in finding resources. Access to these resources is temporary, and a resource may be withdrawn without notice by the vendor.
LibGuides: Zoom: Home

This guide shows you how to use Zoom, with a focus on Zoom for classroom use by instructors.
Automatic Dense Annotation for Monocular 3D Scene Understanding

Deep neural networks have revolutionized many areas of computer vision, but they require notoriously large amounts of labeled training data. For tasks such as semantic segmentation and monocular 3d scene layout estimation, collecting high-quality training data is extremely laborious because dense, pixel-level ground truth is required and must be annotated by hand. In this paper, we present two techniques for significantly reducing the manual annotation effort involved in collecting large training datasets. The tools are designed to allow rapid annotation of entire videos collected by RGBD cameras, thus generating thousands of ground-truth frames to use for training. First, we propose a fully-automatic approach to produce dense pixel-level semantic segmentation maps. The technique uses noisy evidence from pre-trained object detectors and scene layout estimators and incorporates spatial and temporal context in a conditional random field formulation. Second, we propose a semi-automatic technique for dense annotation of 3d geometry, and in particular, the 3d poses of planes in indoor scenes. This technique requires a human to quickly annotate just a handful of keyframes per video, and then uses the camera poses and geometric reasoning to propagate these labels through an entire video sequence. Experimental results indicate that the technique could be used as an alternative or complementary source of training data, allowing large-scale data to be collected with minimal human effort.
LibGuides: REL 123/223 - McCuistion - Build A Paper: Step 4 - Paper/Presentation

Resources to help students build the four-part paper for Dr. McCuistion. Requirements for paper
BCCC LibGuides: Digital Learning & Leisure: Address Your Stress

Free resources that online learners can access remotely to keep one's imagination open and intellect sharp.